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Mechanisms Underlying the Rarity of Skeletal Muscle Cancers

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07 May 2024

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13 May 2024

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Abstract
Skeletal muscle (SKM), despite comprising ~40% of body mass, is rare. This review explores the mechanisms that help to explain this rarity, including unique SKM architecture and function, which prohibits development of new cancer as well as negates potential metastasis to SKM. SKM also presents a unique immune environment that may magnify the anti-tumorigenic effect. Moreover, the SKM microenvironment manifests characteristics such as decreased extracellular matrix stiffness and altered lactic acid, pH, and oxygen levels that may interfere with tumor development. SKM also secretes anti-tumorigenic myokines and other molecules. Collectively, these mechanisms help account for the rarity of SKM cancer.
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Subject: Biology and Life Sciences  -   Anatomy and Physiology

1. Introduction

Skeletal muscle (SKM) comprises approximately 40–50% of body weight, depending on leanness [1,2,3]; nonetheless, primary SKM cancer is extremely rare [4,5,6,7], especially when organ mass is considered (Table 1). When rare primary tumors occur in SKM, they most often derive from soft tissues during growth in childhood (particularly early childhood [age ≤10 years]) and include rhabdomyosarcoma and rhabdomyoma [8]. Rhabdomyosarcoma is recognized on light and electron microscopy as a tumor harboring cells that resemble myoblasts [9,10]. Despite the similarity with myoblasts, it is unclear whether rhabdomyosarcoma arises from myoblasts [11]; nonetheless, myoblasts likely undergo high proliferation during early childhood and adolescence to support SKM growth [12] and therefore could be the origin of the tumor. From 1975–1999, the incidence rate of rhabdomyosarcoma in the U.S. was 4.5/1 million for individuals aged <20 years [13], which is similar to the rate of 4.9/1 million in Sweden in 2016 for individuals aged <15 years [14]; the rate is lower in reported Asian populations [15], perhaps suggesting a genetic contribution. In the U.S., SKM cancers account for ~3.5% of pediatric cancers [16].
In adults, the incidence rate of rhabdomyosarcoma is estimated be ~9.6/10 million. This rate was derived by multiplying the soft tissue cancer incidence rate of 3.2/100,000 [17] by 3%, which is the fraction of soft tissue sarcomas that rhabdomyosarcoma comprises [18]—the actual number is likely much lower, as the incidence rate is not age-specific, and thus inclusion of the pediatric population may skew the results higher; moreover, one website [19] lists the soft tissue sarcoma-to-rhabdomyosarcoma fraction in adults at 1%—if this is accurate, the incidence rate would be at least three times lower. Moreover, when the organ mass is considered (incidence rate per 100,000 per g tissue), rhabdomyosarcoma manifests by far the lowest values among all cancers, at just 0.005%, 0.18%, 0.03%, 0.01%, and 0.0002% of the values for breast, brain, kidney, pancreas, and prostate cancers, respectively (Table 1). Heart cancer has the second-lowest value but still manifests a 24-fold greater incidence rate per tissue mass compared to that of rhabdomyosarcoma.
Secondary SKM cancer is also rare. For instance, in a 2015 single-institution retrospective study [4], SKM metastases were present in 31/1805 (1.7%) patients with cancer who underwent F-fluorodeoxyglucose positron emission tomography/computed tomography. The frequency of SKM metastasis varied by primary tumor site, ranging from 2.8% in lung cancer to 6.9% in melanoma. Isolated SKM metastases were uncommon (6.5%), and most were accompanied by other metastatic sites. Moreover, using computed tomography, a 2010 study detected SKM metastases in just 61/5170 (1.2%) patients with metastasized cancer [20]; metastases were most commonly associated with primary tumors of the genitals (24.6%), gastrointestinal tract (21.3%), urinary system (16.4%), and melanocytes (13.1%). Another study reported SKM metastasis occurred in <1% of patients with kidney cancer [21]. In addition, a 2012 study [5] confirmed the rarity of SKM metastases in patients with lung cancer (1.6%), with most metastases occurring in trunk muscles, suggesting that SKM metastases likely arise from adjacent tumors. In patients with breast cancer, SKM metastasis typically suggests a higher-stage cancer [7], and in patients with non-small cell lung cancer and other metastatic carcinomas, SKM metastasis predicts a poor prognosis [22,23]. This may be because SKM metastases tend to appear late during the course of metastatic cancer [24], indicating that the disease is already widespread before it infiltrates SKM. As posited by LaBan et al. [25], SKM “is in fact a hostile environment for tumor emboli.”
The reasons underlying the relative rarity of primary and secondary SKM cancers remain obscure, but the infrequent occurrence may be due to characteristics unique to SKM architecture and function, the SKM microenvironment, and SKM-derived secretions such as myokines, some of which exhibit anti-tumorigenic properties. (Note that for the purposes of this review, “tumorigenic” refers to all attributes and steps involved in tumor development, progression, and metastasis.) This review examines and summarizes these postulated potential mechanisms, including the speculative involvement of specific SKM myofiber types. Improved understanding regarding these mechanisms could lead to the development of novel therapeutic approaches exploiting the anti-tumorigenic properties of SKM.

2. Epidemiological and Mechanistic Studies

A higher SKM mass, often measured using the SKM index, is correlated with improved prognosis in patients with cancers of various origins, including biliary tract, brain, breast, esophageal, gastric, liver, small-cell lung, ovarian, pancreatic, urothelial, and pediatric malignant solid cancers [26,27,28,29,30,31,32,33]. For example, a 2010 meta-analysis demonstrated that lower muscle mass was associated with an all-cause mortality hazard ratio of 1.44 in patients with solid cancers [34], although the effect is likely at least partially due to better resistance to chemotherapy-induced dysfunction supported by increased SKM mass. Nevertheless, a higher SKM index can intrinsically improve cancer outcomes [30,35].
Moreover, regular muscle contractile activity (i.e., exercise) helps to prevent cancer as well as enhance cancer treatment and improve patient prognosis [36,37,38,39]. For example, regular exercise/physical activity mitigates risk of breast, bladder, brain, bone, colorectal, endometrial, esophageal, gastric, kidney, lung, and other cancers, often via humoral factors [36,37,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60]. However, these epidemiological data only explain how muscular activity per se can impact other cancers rather than explaining the rarity of SKM cancers. Notwithstanding, insights gained from mechanistic studies examining this effect may also offer understanding regarding the rarity of SKM cancers. For instance, many of the proposed mechanisms outlined below, such as altered cytokines, anti-tumorigenic secretions, and shear stress, may be magnified in the local SKM microenvironment.

3. Local Mechanisms Alleviating Cancer in Skeletal Muscle

Mechanisms that may inhibit primary and secondary cancers in SKM include the unique characteristics and architecture of SKM, immune-related factors, properties of the SKM microenvironment, and local myokine concentrations.

3.1. Skeletal Muscle Characteristics and Architecture

3.1.1. Amitotic Nature of Skeletal Myofibers

Terminally differentiated SKM myofibers are generally considered to be amitotic [61]. Although some evidence indicates the existence of DNA endoreplication without cell division in murine SKM [62], development of tumors from amitotic tissue is uncommon [63,64]. For instance, in the nervous system, tumors arising from amitotic neurons are rare, with most tumors arising from glial cells [65]. Similarly, despite the unclear origin of primary SKM cancers, the most common forms, such as rhabdomyosarcoma and rhabdomyoma, appear to arise from cells such as myoblasts rather than from mature SKM myofibers [11]. Accordingly, the amitotic nature of SKM helps to explain the scarcity of primary cancer in SKM.

3.1.2. Physical Barrier

The dense and organized structure of SKM provides a physical barrier that can impede the invasion and spread of cancer cells, thus helping to limit SKM metastases. For instance, SKM is composed of parallel myofibers that run the entire length of the muscle. Individual SKM myofibers are enveloped by a basement membrane, which is covered superficially by the endomysium, a collagen-rich connective tissue. Endomysium-covered SKM myofibers are bundled into fascicles that are surrounded by the perimysium, which is thicker than the endomysium. All fascicles in an individual SKM are encased by the epimysium, which is thicker than the perimysium. The collagen fibers of the endomysium, perimysium, and epimysium merge at the myotendinous junction and with collagen fibers of the tendon [1,66]. This arrangement of interconnected SKM connective tissue provides a physical barrier to the migration and invasion of tumor cells from neighboring tissues. However, when metastases do occur in SKM, most are found between these different connective tissue layers [67,68,69]; accordingly, it has also been postulated that these connective tissues may serve as a guide for invading cells [70].

3.1.3. Mechanical Forces

SKM undergoes frequent contraction and relaxation, which generates mechanical forces that could disrupt the adhesion and survival of cancer cells. Because the contractile myofilaments are physically connected to the extracellular matrix (ECM) via numerous proteins, the mechanical forces initiated by cross-bridge cycling and subsequent sarcomere shortening are transferred to the surrounding connective tissues, thus helping to transfer force more efficiently to tendons [71,72], creating shear forces within the contracting muscle [73], and therefore interfering with the ability of tumor cells to adhere to the ECM surface. The mechanical forces may also dislodge cancer cells that may have adhered to the intra-muscular endothelium, thus preventing extravasation to and infiltration of SKM [25]. Primary heart cancer is also rare (incidence rate, 34/100 million) [74]; secondary heart cancer is approximately 20- to 40-fold more common than primary heart cancer, with an incidence rate of ~8.5–17/100,000 [75]. The low incidence of heart cancer may also be related to the continuous, cyclic mechanical forces exerted by autorhythmic contractions of cardiomyocytes; this may be even more inhibitory to cancer development than occurs in SKM.

3.1.4. Low Resting Metabolic Rate

Although energy metabolism in SKM can increase up to 100-fold during contractile activity [76], resting SKM has a low metabolic rate [77]; as SKM is typically in a resting state, this low metabolic rate may limit the occurrence of SKM cancers. This mechanism is explained by the Warburg effect, which describes the link between higher glycolysis with lactate production in cancer cells, despite oxygen availability [78]. This helps to describe the inverse association of cancer risk and outcomes with whole-body basal metabolic rates [79], although it could also be applied to individual organs [79]; thus, organs with higher metabolic rates may be at higher risk of cancer, whereas organs with lower metabolic rates may be at lower risk.
As tissue metabolism drives local blood flow and perfusion [80], increased risk of cancer in organs with a higher metabolic rate may be related to increased glucose delivery. The risk may also result from increased tissue production of reactive oxygen species (ROS) as a byproduct of greater energy metabolism [81]: ROS can induce oncogenic damage to DNA and thus increase the risk of cancer in the local tissue [82]; they may also diffuse to tumoral cells and foster the epithelial–mesenchymal transition, which is a critical step driving tumor invasion and metastatic potential [83,84].
Indeed, in a comparison of organ-specific metabolic rates, resting SKM exhibited a rate of 13 kcal/kg/d, which is only 3.0–6.5% of the rate for heart, kidney, brain, and liver (440, 440, 240, and 200 kcal/kg/d, respectively) [77]. The incidence rate of kidney, brain, and liver cancer is 4.4–15.2, 3.5–5.7, and 8.5–8.6/100,000 persons, respectively [17,85]. In contrast, as reported above, the incidence rate of rhabdomyosarcoma in childhood is 4.5–4.9/1 million [13,14] and in adults is ~9.6/10 million; therefore, in adults, the incidence rate of rhabdomyosarcoma is only 2.2%, 2.7%, and 1.1% of that of kidney, brain, and liver cancers, respectively—these differences are even more pronounced when the incidence rate is expressed relative to tissue mass (listed in Table 1), with the value for rhabdomyosarcoma (incidence rate per 100,000 per g tissue mass) representing just 0.04%, 0.36%, and 0.48% of the values for kidney, brain, and liver cancers, respectively. Although further research is required to examine this phenomenon, with the exception of heart (see section 3.1.3), these numbers correspond to the differences in metabolic rates between resting SKM and other organs. This body of evidence indicates that the low metabolic rate of resting SKM may be one factor inhibiting cancer growth.

3.1.5. Rich Blood Supply

Compared to most other tissues, SKM is highly vascularized and capillarized [86], and vasodilatory capacity can increase 100-fold [87] and perhaps as high as 800-fold [25]. Based on Poiseuille’s law, this indicates that SKM blood flow has the capacity to increase 1,000,000-fold (1004) or higher, which is far in excess of the 50- to 100-fold increase in SKM energy metabolism that occurs during contractile activity [76]. Vascular density and diameter and capillary density are further increased with exercise training via angiogenesis [88]. The concomitant increased volume and velocity of blood flow in SKM during contractile activity, as well as the high intravascular shear forces, impede the ability of circulating tumor cells to extravasate to SKM and may disrupt attachment of tumor cells to the intramuscular endothelium [25].

3.2. Immune-Related Factors

3.2.1. Localized Immune Response

SKM contains resident immune cells, such as macrophages and lymphocytes [89]. Functionally, these immune cells are involved in the repair of damaged SKM [90]; however, immune cells can also mount a localized immune response against cancer cells, limiting their ability to develop in or metastasize to SKM by preventing or limiting their proliferation [91]. Furthermore, the high vascularization and capillary density of SKM described in section 3.1.5 result in a high ability to deliver anti-tumorigenic immune cells to SKM and the local microenvironment, further facilitating local anti-tumorigenic activity.

3.2.2. Effect of Contractile Activity

In addition, SKM contractile activity initiates conversion of pro-inflammatory M1 macrophages to anti-inflammatory M2 macrophages, resulting in reduced secretion of pro-angiogenic factors that support tumor growth; SKM contractile activity also prevents conversion of anti-tumorigenic N1 neutrophils to pro-angiogenic N2 neutrophils that accelerate metastasis [39,92]. In a murine model of pancreatic cancer, the number and cytotoxic activity of CD8+ T-lymphocytes (cytotoxic T-cells) is also increased with SKM contractile activity, as well as their accumulation in tumoral tissue [93,94,95]. Furthermore, SKM contractile activity mobilizes natural killer cells [96] and enhances intra-tumoral blood flow, thus increasing delivery of anti-cancer immune cells to the tumor [95]. Furthermore, owing to increased metabolic activity during SKM contractile activity [97], SKM temperature increases [98,99]; this higher temperature may augment recruitment of natural killer cells and thus help to prevent cancer development or metastasis [100,101,102], potentially in an interleukin (IL)-6-dependent manner [100,101]. These changes in immune cell conversions and the number and activity of anti-tumorigenic immune cells may occur at a higher rate in local SKM, thus limiting the ability of tumors to grow in the SKM environment.

3.3. Skeletal Muscle Microenvironment

Whereas numerous studies have examined how SKM contractile activity can affect the tumor microenvironment in general [38,103,104,105,106], it is less clear how the specific SKM microenvironment may impact potential local tumorigenesis or infiltrating metastatic tumor cells. The possibilities of a physical barrier imposed by connective tissues and the shear stress in the connective tissues during muscle contraction comprise compose two components of the skeletal muscle microenvironment that may restrict tumorigenesis and are described above. In addition, other features of the SKM microenvironment related to cancer risk include ECM stiffness, pH, and oxygen tension. Myokine secretion, which may also be considered part of the microenvironment, is considered in section 3.4.

3.3.1. Extracellular Matrix Stiffness

One key feature of the tissue microenvironment that may affect cancer risk, progression, and metastasis is the ECM, including ECM stiffness [107]. This is a separate and distinct feature from the ECM stiffness of the tumor microenvironment, which changes and adapts over the course of tumor progression [108,109]. Although the influence of tissue ECM stiffness remains controversial [107], evidence indicates that cancerous cells from some origins preferentially adhere to and grow on ECM that exhibits less stiffness [110,111,112]. For instance, ovarian tumor cells preferentially invaded tissues with a lower degree of ECM stiffness [110]. Moreover, formation of spheroid tumors was lower in three-dimensional fibrin gels with less stiffness [111]. Furthermore, when undifferentiated melanoma tumor-repopulating cells were grown on a fibrin gel with less stiffness, specific histone methylation occurred that limited colony growth [112]. Resting SKM exhibits >3-fold greater ECM stiffness compared to that of breast or dermal tissue [70], but the stiffness can increase 20-fold during tetanic contraction in an unloaded muscle [113]; stiffness likely increases even further in a loaded, fully contracted SKM. This high stiffness may prohibit the ability of metastasized cells to adhere to SKM ECM and thus help to account for the rarity of SKM cancers.

3.3.2. Lactic Acid and pH

Owing to the dependence on anaerobic glycolysis in tumors as explained by the Warburg effect [78], SKM-derived lactic acid at exercise intensities above the lactate threshold may disrupt cancer metabolism by further raising intracellular lactic acid in tumor cells, manifesting end-product inhibition, and thus consequently hindering tumor adhesion and tumor angiogenesis that are essential for tumor growth [25,114,115]. In addition to a direct inhibitory influence on metabolism, this effect may be partly mediated via suppressed expression of estrogen-related receptor-α [115].
Furthermore, systemic pH may decline with SKM contractile activity, particularly of an anaerobic nature, largely due to the accumulation of lactic acid [116]. Tumors tend to thrive in a lower pH environment, which contributes to tumor cell proliferation, migration, and invasion, as well as to intra-tumoral angiogenesis [117,118]; however, in creating this acidic extracellular pH, the cancer cells generate an alkaline intracellular pH, despite the higher lactate production [119]. SKM contractile activity-induced lactic acidosis may intracellularly acidify the cancer cells and thus disrupt tumor progression [120].

3.3.3. Oxygen Tension

Hypoxia during early tumor development is an essential driver of intra-tumoral angiogenesis, which subsequently permits further growth and is essential for metastasis [121]. SKM contractile activity promotes increased intra-tumoral blood flow and oxygen level, thus interfering with intra-tumoral hypoxia [95,122] and consequently limiting tumor progression by interrupting energy metabolism.

3.3.4. Oxidative Stress

ROS produced by increased SKM contractile activity may induce oxidative stress in tumor cells that have infiltrated SKM. Although ROS can be pro-tumorigenic, excess ROS result in oxidative stress, which interferes with the balance of oxidation and reduction and impairs tumor cell proliferation [123].

3.3.5. Lipophilic Ligands of the Lipocalin Protein Family

Lipocalins are a protein family that serve as protease inhibitors during the cell cycle [124,125,126]. The role of lipocalins in cancer is controversial [125]; however, they bind to a wide variety of lipophilic ligands that regulate lipocalin activity [127]; these lipophilic ligands are present in SKM and display local anti-tumorigenic activity [128].

3.4. Myokines

Myokines are SKM-secreted humoral factors, and their discovery, beginning with IL-6 in 2000 [129], has defined SKM as an important endocrine organ [130,131] that engages in extensive and complex cross-talk with other organs, including cancerous tissues [38,106,131,132]. Over 600 myokines may be secreted [133], many of which are increased by SKM contractile activity [131,134]. Some myokines exert anti-tumorigenicity by limiting tumor cell growth, stimulating apoptosis, and inhibiting the epithelial–mesenchymal transition, migration, and invasion of cancer cells [38,39,52,106,132]; myokines may also positively modulate the anti-cancer immune response [106,135,136,137].
In addition to their endocrine function, many myokines also act in an autocrine and paracrine manner [134,138]; as the myokine concentration in the SKM microenvironment may be greater than in the circulation, the myokine-driven anti-tumorigenic effect may be greater in SKM and therefore contribute to the scarcity of SKM cancers. Oncostatin-M, irisin, secreted protein acidic and rich in cysteine (SPARC), decorin, brain-derived neurotrophic factor (BDNF), IL-6, IL-7, IL-10, and IL-15 are among the myokines manifesting anti-tumorigenic activity, and circulating levels of most of these increase with SKM contractile activity [106,132]. While myokines may also exert anti-tumorigenic influence via anti-inflammatory actions [139] or by counteracting systemic insulin resistance, hyperinsulinemia, and hyperlipidemia [140,141,142,143] via actions on other organs, this section of the review focuses on the effects of myokines on cancer cells [52], either directly or by means of immunological effects.

3.4.1. Oncostatin-M

Multiple studies illustrate the anti-tumorigenic properties of oncostatin-M [46,132,144], which is a member of the IL-6 cytokine family [145]. For instance, oncostatin-M substantially inhibited proliferation of mammary cancer cells [42,146], increasing caspase (a pro-apoptotic enzyme [147]) activity and apoptosis [42]. Furthermore, oncostatin-M decreased proliferation, migration, and invasion (and thus the epithelial–mesenchymal transition) of lung adenocarcinoma cells by activating STAT1, which increased E-cadherin expression [148]. As E-cadherin is a cell adhesion molecule and can act as a tumor suppressor [149], this suggests that oncostatin-M-mediated upregulation of E-cadherin may help to limit cancer metastasis. Notably, decreased E-cadherin expression is linked to poor prognosis in patients with breast cancer [150]. In addition, in glioblastoma cells, oncostatin-M inhibited proliferation and increased expression of the cell cycle inhibitors p21 and p27kip1, with concomitantly decreased expression of Skp2, Cks1, and cyclin A [151], which help drive the cell cycle and are thus proto-oncogenic. Patients with prostate cancer exhibited increased serum oncostatin-M, but no changes occurred in other myokines; exercise-conditioned serum from these patients inhibited growth of prostate cancer cells [54]. One mechanism by which oncostatin-M may inhibit tumor growth is by promoting the conversion of pro-inflammatory M1 macrophages to anti-inflammatory M2 macrophages and increasing neutrophil recruitment [152]. However, controversy exists regarding whether oncostatin-M may also exert pro-tumorigenic effects that depend on the specific tumor microenvironment [132].

3.4.2. Irisin

Numerous lines of evidence also illustrate the anti-tumorigenic properties of irisin [132]. In mammary and lung cancer cells, irisin hindered proliferation and the epithelial–mesenchymal transition [41,153], but it did not affect proliferation of mammary control cells [41]. Furthermore, in gastric carcinoma cells, irisin treatment or overexpression inhibited migration and invasion, but did not affect proliferation [154]. Moreover, in ovarian cancer cells, irisin antagonized hypoxic cell signaling induced by hypoxia-inducible factor-1α [51], suggesting that irisin may interfere with the tumor response to hypoxia. In two of three ovarian cancer cell lines, it also reduced expression of vascular endothelial growth factor (VEGF), which is essential for intra-tumoral angiogenesis [155]. Additionally, in pancreatic cancer cells, irisin inhibited proliferation, migration, and the epithelial–mesenchymal transition and induced cell cycle arrest at G1. It also upregulated E-cadherin protein expression and activated the AMPK-mTOR pathway [59]. Finally, in a mouse model of glioblastoma, irisin administration resulted in increased p21 expression in conjunction with cell cycle arrest at the G2/metaphase transition, inhibited invasion via upregulation of tissue factor pathway inhibitor-2, and reduced in vivo tumor size in mice by >85% [46], thus demonstrating the strong anti-tumorigenic of this myokine.

3.4.3. Secreted Protein Acidic and Rich in Cysteine

SPARC, also referred to as osteonectin, induced apoptosis in ovarian cancer cells [156], mitigated proliferation of prostate cancer cells [157], inhibited proliferation and promoted apoptosis of implanted lung carcinoma and T-lymphoma cells in vivo in mice [158], and reduced tumor growth but accelerated invasion in the brain in a murine glioma model [159]. Additionally, SPARC overexpression in implanted gastric cancer cells interfered with the epithelial–mesenchymal transition and decreased cell viability and migratory ability; further, SPARC overexpression also inhibited VEGF expression [160,161]. Moreover, in a mouse model of colorectal cancer, wild-type control mice, but not SPARC knockout mice, demonstrated an exercise-induced reduction in development of aberrant crypt foci (a hallmark of colorectal cancer [162]) and increased tumor apoptosis, indicating the essential involvement of SPARC in these anti-tumorigenic events. Furthermore, SPARC administration greatly attenuated tumorigenesis in the colon of SPARC knockout mice [44]. In addition, when lung carcinoma, T-lymphoma cells, or prostate cancer cells were subcutaneously injected in SPARC knockout mice, tumor growth was enhanced [157,158]. Tumor histology demonstrated altered ECM structure and decreased macrophage infiltration [158], suggesting that SPARC mediates interactions of tumor cells with the ECM. When SPARC knockout mice were crossed with TRAMP mice (a model of prostate adenocarcinoma), the genetic presence of SPARC resulted in a lower degree of tumor cell proliferation [157]. Mechanistically, SPARC inhibited tumor apoptosis in colorectal cancer via inhibition of Bcl-2, which is anti-apoptotic, as well as by upregulating autophagy [163]; SPARC also induced cell cycle arrest in medulloblastoma cells at the G2/metaphase transition via upregulation of p21 [164] and in prostate cancer by promoting expression of p21 and p27kip1 [157]; and finally, SPARC blocked intra-tumoral angiogenesis in pancreatic ductal carcinoma cells via direct binding to VEGF and platelet-derived growth factor [165]. However, as is the case with oncostatin-M, some evidence also suggests that SPARC may possess pro-tumorigenic activity [132].

3.4.4. Decorin

Decorin overexpression in several culture models of cancer (colon, mammary, and squamous carcinoma) inhibited proliferation and promoted apoptosis [166,167,168,169], and decorin treatment of mammary cancer cells or an orthotopic mammary carcinoma model (either directly or via an adenoviral vector) reduced tumor growth by 70% and substantially curbed metastasis [169]. In addition, decorin treatment of endothelial cells reduced the angiogenic potential by downregulating VEGF [170]. Decorin knockout mice demonstrated intestinal tumorigenesis, with suppressed expression of p21 and p27kip1 [171]. Furthermore, in decorin knockout mice, colon cancer xenografts exhibited greater tumor weight and reduced E-cadherin expression in intestinal epithelial cells [166,171], whereas increasing decorin expression in colon cancer cells concomitantly upregulated E-cadherin expression [166]. Decorin may further act by downregulating the androgen receptor–phosphatidylinositol 3-kinase–Akt signaling pathway [172], the pro-tumorigenic miRNA miR-21 [173,174], transforming growth factor-β1 [174,175], cyclin D1 [175], and endothelial growth factor receptor activity [172,175,176], as well as by increasing p21 [175,176] and p53 [175].

3.4.5. Brain-Derived Neurotrophic Factor

BDNF is most highly expressed in the brain [177], and the potential anti-tumorigenic role of SKM-derived BDNF remains elusive [132]. Although SKM-specific BDNF expression (both mRNA and protein) increases with exercise in mice [178] and humans, post-exercise plasma levels in humans remain unchanged [179]. This suggests that BDNF in SKM may act in an autocrine or paracrine manner. Evidence that BDNF exerts anti-tumorigenic activity includes the following. First, infusion of BDNF into a glioma-bearing mouse brain suppressed tumor growth and migration via a truncated TrkB.T1 receptor-dependent mechanism; it also suppressed intra-tumoral macrophage infiltration [180]. Second, hypothalamic BDNF overexpression in mice increased the number of CD8+ T-lymphocytes; this increase was essential for the anti-tumorigenic effect in an orthotropic model of melanoma [181]. Finally, hypothalamic BDNF overexpression in mice decreased melanoma tumor weight by about 80%, whereas blockade of hypothalamic BDNF expression via RNA interference mitigated the anti-tumorigenic intervention of environmental enrichment, which included a voluntary running wheel; this suggests that BDNF was responsible for the anti-tumorigenic effect [182]. Accordingly, SKM muscle-derived BDNF may act locally to inhibit tumor growth.

3.4.6. Interleukin-6

IL-6 was the first myokine discovered [129] and is perhaps the most studied. The source of IL-6 appears to be important, with post-exercise increases in IL-6 exhibiting multiple anti-tumorigenic effects [52,183,184]. SKM is a primary source of exercise-induced increases in IL-6, although it has a short clearance rate [185]. Substantial evidence supports the anti-tumorigenic potential of SKM-derived IL-6, including its role in the SKM contractile activity-induced mitigation of cancer risk. For instance, anti-IL-6 antibodies at least partly eliminated the exercise-induced tumor suppression observed in mice [137]. Moreover, IL-6 inhibited proliferation of prostate cancer cells [186], colorectal cancer cells [187], and mammary cancer cells [188]; however, treatment protocols can alter the results [106]. In mammary cancer cells, IL-6 decreased proliferation via regulation of matrix metalloproteinases [188], thus IL-6 may directly regulate the tumor microenvironment; it also exhibits anti-tumorigenicity by increasing natural killer cell activity and intra-tumoral infiltration; these lymphocyte-mediated responses are necessary, but not sufficient, for anti-tumorigenicity [137], suggesting that other exercise-related humoral or additional factors are also involved.

3.4.7. Interleukin-7

Strength training increased the expression of IL-7 mRNA in resting skeletal muscle [189]; IL-7 expression also increased following a single soccer match [190]. IL-7 demonstrates anti-tumorigenic potential [191,192], potentially through immunomodulation. IL-7 plays a role in the development and homeostasis of T- and B-lymphocytes as well as the immune response of natural killer cells and dendritic cells. Additionally, IL-7 promotes T- and B-lymphocyte precursor survival and proliferation, including the survival of both memory and naïve T-lymphocytes, and it contributes to the homeostasis of peripheral T-lymphocytes [193]. Nonetheless, the anti-tumorigenic role of SKM-derived IL-7 remains to be fully explored.

3.4.8. Interleukin-10

IL-10 may also mediate anti-tumorigenic activity via immunomodulation by upregulating the number of anti-cancer immune cells and enhancing their cytotoxic activity [52]. In a mouse model of lymphoma, tumor growth was substantially reduced and memory CD8+ T-lymphocytes were increased in mice that were injected with IL-10 immediately following a booster vaccine relative to mice that were not inoculated and received no IL-10 [194]. Evidence also shows that IL-10 can inhibit angiogenesis, as indicated by a study employing a mouse model of melanoma, in which melanoma cells that expressed IL-10 via a transfected viral vector exhibited an attenuation of tumor growth and metastasis. When the melanoma cells lacking IL-10 expression were admixed with the transfected cells, tumor growth and metastasis remained diminished [195], confirming that the anti-tumorigenic activity was IL-10-dependent. The implanted tumors showed abated neovascularization, indicating that IL-10 may also exert anti-tumorigenicity by inhibiting intra-tumoral angiogenesis. This idea is further supported by IL-10-driven suppression of VEGF, tumor necrosis factor-α, and matrix metalloproteinase-9 expression [195].

3.4.9. Interleukin-15

IL-15 regulates immune function by modulating natural killer cells and T-lymphocytes via stimulation of proliferation, differentiation, and maturation [135,136,196,197,198,199] In a mouse model of luminal B mammary adenocarcinoma, fluorescently labeled IL-15 localized with CD8+ T-lymphocytes and natural killer cells found in the tumor and in the lymph nodes in the local lymphatic drainage [200]. Similar effects were also observed in a mouse model of metastatic triple-negative breast cancer (an aggressive, hormone-insensitive carcinoma [201]) treated with heterodimeric IL-15, which lowered the number of tumor cells in the blood and initiated a decline in tumor colonization of the lungs [202]. Additionally, IL-15 infusion into a glioma-bearing mouse brain suppressed tumor growth, which depended on intensified intra-tumoral infiltration of natural killer cells [180], and in a mouse model of pancreatic cancer, IL-15 limited tumor growth and improved survival; further, low-intensity treadmill exercise increased the number of circulating CD8+ T-lymphocytes as well as intra-tumoral infiltration; the observed effects depended on IL-15 [93].
Moreover, in 11 patients with CD52+ T-lymphocyte malignancies, 6 weeks of subcutaneous injection with human IL-15 resulted in increased serum levels of CD8+ lymphocytes and natural killer cells, as well as enhanced antibody-dependent cytotoxic activity of natural killer cells. Clinically, when IL-15 injection was administered in conjunction with alemtuzumab, two patients demonstrated a complete response, and two patients demonstrated a partial response [203]. In addition, exercise-induced IL-15 expression was associated with prolonged survival in patients with lung adenocarcinoma, colon adenocarcinoma, colorectal adenocarcinoma, esophageal carcinoma, skin cutaneous melanoma, uterine carcinosacrcoma, and rectal adenocarcinoma; survival outcomes also corresponded to intra-tumoral immune cell infiltration [204].

3.5. Insulin-Like Growth Factor-1 and Associated Binding Proteins

Insulin-like growth factor (IGF-1) is a growth factor primarily secreted by the liver in response to growth hormone stimulation [205,206]; SKM is a secondary source of IGF-1 [206]. IGF-1 is found in slightly different forms that exhibit specific functions [207], and approximately 98% of circulating IGF-1 is bound to various binding proteins (IGFBP) [208]. SKM-derived IGF-1 is generally thought to manifest autocrine and paracrine effects in SKM growth and repair [207].

3.5.1. Role of Insulin-Like Growth Factor-1 and Binding Proteins in Cancer

The role of IGF-1 and its associated binding proteins in cancer has not been fully elucidated, particularly the role of SKM-derived IGF-1 and IGFBPs. Circulating IGF-1 [207] and IGFBP-2 [209] are typically considered to be pro-tumorigenic; IGF-1 exhibits pro-proliferative and anti-apoptotic properties [210,211,212,213], while IGFBP-2 enhances cancer cell survival, proliferation, invasion, and migration, as well as intra-tumoral angiogenesis [209]. In contrast, IGFBP-1 [214] and -3 [215,216,217] are generally considered to be anti-tumorigenic, although IGFBP-1 also displays some pro-tumorigenic effects [214]. IGFBP-1 mitigated invasion and metastasis in hepatocellular carcinoma [218], attenuated intra-tumoral angiogenesis in lymphoma [214], invoked a decrease in breast cancer cell proliferation [219,220,221], and induced apoptosis in prostate cancer cells [222]. Transfection of lung cancer cells with IGFBP-3 inhibited spheroid growth as well as growth of cells seeded in an ECM-based gel, and IGFBP-3 treatment of lung cancer cells stimulated apoptosis both in vitro and in vivo in mice [215], as well as inhibiting proliferation of non-small cell lung cancer cells [216]; it may act by preventing and even reversing the epithelial–mesenchymal transition [217].

3.5.2. Association of Insulin-Like Growth Factor-1 and Binding Proteins with Cancer

The association of circulating levels of IGF-1, IGFBPs, and insulin also support their roles in cancer but are not always consistent with the molecular data. For instance, high serum IGF-1 and IGFBP-3 levels raise the risk of numerous cancers [214,223,224,225,226]; however, in a meta-analysis, IGFBP-3 decreased risk of lung cancer [226]. Lower IGFBP-1 levels are generally, but not always, associated with poor outcomes in multiple cancers [214]. In contrast, higher IGFBP-2 indicates a poor prognosis [227,228]. Moreover, insulin, which is structurally similar to IGF-1, is also related to cancer risk and outcomes, with hyperinsulinemia linked to a greater risk of cancer and cancer-related death [229,230,231].

3.5.3. Derivation of Insulin-Like Growth Factor-1 and Binding Proteins from Skeletal Muscle

Decreased levels of insulin and IGF-1 are associated with exercise and may contribute to the decreased risk of cancer with exercise [143,232]. Although liver is the primary source of circulating IGF-1, SKM may also be a significant source [206], especially following intense exercise [233]; however, directional changes in circulating IGF-1 levels following SKM contractile activity remain controversial. Regardless, evidence indicates that exercise may reduce IGF-1 levels. For example, in healthy men, low-intensity exercise modestly decreased IGF-1 and IGFBP-1 [234], while IGF-1 and IGFBP-3 declined following a 100-km walking race [235]. Moreover, 6 months of a moderate-intensity program in postmenopausal women resulted in lower IGF-1 and IGFBP-3 levels as well as lower insulin levels [236]. Serum IGF-1 levels were also attenuated in older participants following a 12-week progressive resistance exercise regimen [237]. A long-term exercise program (4–6 sessions/week for a mean of 14 years) also resulted in decreased circulating IGF-1 levels [238]. Furthermore, a mixed-exercise routine in adolescent men decreased circulating IGF-1 and IGFBP-2 levels [239]. Finally, 7 days of exercise combined with a prescribed diet in young men decreased SKM-derived plasma IGF-1 levels during the last 2 days [240]. Nevertheless, a disparity of results exists among studies utilizing different exercise programs [241,242,243,244,245]; this may indicate that SKM contractile activity-induced changes in IGF-1 and IGFBP levels may depend on factors such as age, pre-program fitness level, hormonal status, diet, sex, and the length, type, and intensity of the exercise intervention.

3.6. Studies Using Exercise-Conditioned Serum

3.6.1. Animal Studies

Incubation of cancer cells in the presence of serum following acute exercise or exercise training decreases proliferation. According to one review [38], one important aspect collectively conveyed by these studies is that exercise-conditioned media impairs the ability of the cancer cells to seed properly and to form colonies. In one animal study, when mammary cancer cells were incubated in serum collected following 60 minutes of swimming exercise in mice, cell proliferation decreased by approximately half and was accompanied by a concomitant increase in caspase activity. Subsequent experiments revealed that increased SKM secretion of oncostatin-M was responsible for the inhibition [42]. In our laboratory, to identify SKM-derived secretions affecting cancer cell proliferation, we used media conditioned by electrically-stimulated C2C12 myoblasts (derived from mouse soleus muscle) and demonstrated inhibited proliferation in hormone-insensitive mammary cancer cells but mixed results in hormone-insensitive triple-negative breast cancer cells (unpublished data).

3.6.2. Human Studies

Numerous human studies also demonstrate the anti-tumorigenic effect of post-exercise serum on colorectal, prostate, breast, and pancreatic cancer cells. For instance, in colorectal cancer cells treated with serum collected from men with a high risk for colorectal cancer, proliferation modestly decreased, but was accompanied by a much larger rise in a marker of DNA damage. These results were mirrored when the cells were treated with IL-6, which was elevated in the post-exercise serum [187]. In addition, serum collected from survivors of colorectal cancer immediately following high-intensity exercise inhibited colorectal cancer cell proliferation [246].
Similarly, serum collected from men with metastatic cancer-resistant prostate cancer impaired proliferation of prostate cancer cells. The serum contained increased levels of oncostatin-M and SPARC [53]. Moreover, prostate cancer cells displayed an approximately one-third inhibition of proliferation when treated with serum from healthy men collected following 60 minutes of bicycle activity, and injection of pooled serum into severe combined deficiency mice delayed tumor onset. Following a multiplex assay for serum growth factors, the authors determined that increased IGFBP-1 and decreased epidermal growth factor were candidates for the observed effect [247].
In another study, serum was collected from breast cancer survivors following a 2-hour exercise session; both hormone-sensitive mammary cancer cells and hormone-insensitive triple-negative breast cancer cells treated with the serum exhibited decreased viability [248]. In contrast, serum collected from breast cancer survivors or a healthy control group following a 6-month exercise intervention showed no effect on mammary cell viability compared with serum collected pre-intervention, despite a higher level of IL-6 [248]. In addition, injection of exercise-conditioned serum into NMRI-Foxn1nu immunodeficient mice blunted tumor cell viability and development; however, the responsible factors were epinephrine and norepinephrine [249], which are not derived from SKM.
In a unique study [58], serum was collected from patients with stage III/IV pancreatic cancer following repeated electrical stimulation of different SKMs over 12 weeks. When a pancreatic adenocarcinoma cell line was treated with the serum, it inhibited proliferation and promoted apoptosis. The serum was enriched in the myokines C-C motif chemokine ligand-4, C-X-C motif ligand-1, and IL-10; treatment of two different pancreatic cancer cell lines with a combination of the three myokines impaired migratory capacity and increased cell death by ~40–60%, as measured using DNA fragmentation. Notably, oncostatin-M increased SKM expression of C-X-C motif ligand-1 [152], which functions as chemokine that attracts neutrophils [250]. These results illustrate that SKM contractile activity per se, rather than exercise, is sufficient to generate increases in anti-tumorigenic myokines.

3.7. Potential Fiber Type-Specific Effects

In general, skeletal myofibers are defined as type I and type II, depending on the type of myosin heavy chain expressed. Type I myofibers are optimized for fatigue resistance using aerobic metabolism and generally have a smaller cross-sectional area per fiber, whereas type II myofibers, with IIa and IIb subtypes, are generally more optimized for power and non-aerobic metabolism, including the phosphagen system and anaerobic glycolysis [251]. Myofiber type-specific myokine secretion has been reported [252,253,254], but whether a preponderance of type I or type II myofibers affects cancer risk is unknown. However, it is interesting to speculate that an abundance of either type I or type II myofibers may reduce cancer risk, and genetic models may help to provide evidence concerning this hypothesis. Numerous factors drive expression of myofiber type [255]; here, only three models are provided for illustrative purposes.

3.7.1. Effect of Type I Myofibers

In murine models, global overexpression of the transcriptional coactivator peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) drives abundant development of type I myofibers with increased mitochondrial density and capillarization [256]; in mice with SKM-specific expression of PGC-1α, circulating inflammatory markers decreased, and many deleterious age-related changes were ameliorated [257,258]. Notably, the anti-tumor molecule oncostatin-M, which is secreted by SKM, demonstrated an 8.3-fold elevation in the serum of mice with transgenic SKM-specific overexpression of PGC-1α [258]. This raises the possibility that a higher abundance of type I myofibers may be associated with decreased cancer risk; studies using genetic deletion of forkhead box O-1 (FOXO1) further support this possibility. FOXO1 knockout mice exhibited a decline in type I myofiber phenotype, as indicated by gene expression [259]. In addition, a PAX3-FOXO1 fusion protein hampered the differentiation of rhabdomyosarcoma cells [260], supporting a potential anti-tumorigenic connection among FOXO1, type I myofiber phenotype, and cancer.

3.7.2. Effect of Type II Myofibers

In addition to its suppressive effect on type I myofibers, SKM-specific ablation of FOXO1 also increased the type II myofiber phenotype [261]; as mentioned above, rhabdomyosarcoma proliferation is inhibited by a PAX3-FOXO1 fusion protein [260]; accordingly, a decreased amount of type II myofibers was associated with a pro-tumorigenic effect, raising the possibility that the reverse may also be true. This prospect is further supported by evidence from male mice with SKM-specific deletion of Akt1/2, wherein the mice exhibit a decrease in type II myofibers. When these mice were exposed to a high-fat diet, they demonstrated earlier death due to a higher incidence of tumors [262]. While the data regarding the effect of myofiber type on cancer remain sparse and inconclusive, they support the hypothesis of an anti-tumorigenic effect by both an abundance of type I and type II myofibers.

4. Conclusion

SKM cancers are rare. This rarity may be due to (A) unique structural and cellular characteristics of SKM tissue as follows 1) SKM myofibers are amitotic, 2) SKM is organized in a manner that provides a physical barrier to potential invading cells, 3) SKM experiences frequent mechanical forces that may make it more difficult for invading cells to adhere to the tissue surfaces and may dislodge adherent cells, 4) SKM exhibits a low resting metabolic rate that is inversely connected to cancer risk, and 5) SKM demonstrates high vascularization and capillarization that can experience greatly increased blood flow and velocity, as well as high shear forces, which may make it difficult for invading cells to adhere to the intra-vascular endothelium and may dislodge adherent cells. (B) Immune-related factors may also contribute to the rarity of SKM, with an enhanced local anti-tumorigenic immune response that can be further escalated with SKM contractile activity. (C) Properties of the SKM microenvironment may also inhibit tumorigenesis or tumor invasion; these properties include 1) high stiffness of the SKM ECM, 2) higher lactic acid concentration and lower pH produced by anaerobic metabolism during SKM contractile activity that exceeds the lactate threshold, 3) higher oxygen tension imparted by SKM contractile activity, 4) SKM-induced increases in intra-tumoral oxidative stress, and 5) secretion of anti-tumorigenic lipophilic ligands. (D) A number of myokines in the SKM microenvironment may also decrease the likelihood of SKM cancers. The myokines oncostatin-M, irisin, SPARC, decorin, BDNF, and IL-6, -7, -10, and -15 exhibit anti-tumorigenic activity. (E) SKM contractile activity-induced decreases in IGF-1, IGFBP-2, and insulin levels and increased IGFBP-1 and -3 levels may also help to limit cancer development in SKM. (F) Furthermore, many of the anti-tumorigenic effects of SKM contractile activity have been demonstrated using conditioned media treatment of cultured cancer cells. (G) Finally, an abundance of type I or type II myofibers may display anti-tumorigenic manifestations.
Individually, the relative contribution of each of these postulated mechanisms is unknown and remains a topic for further research, including how these factors may change depending on the frequency and type of SKM muscular contractile activity. However, collectively, these mechanisms help to explain why SKM, an organ comprising approximately one-half of body mass, avoids the cancer that is more predominant in other organs. A better understanding of these mechanisms may be useful to identify improved prevention and treatment for cancer, including the role of regular SKM contractile activity in the form of exercise.

Conflict of Interest

The author declares no conflict of interest.

References

  1. Frontera, W.R.; Ochala, J. Skeletal Muscle: A Brief Review of Structure and Function. Calcif. Tissue Int. 2015, 96, 183–195. [Google Scholar] [CrossRef] [PubMed]
  2. Institute of Medicine (US) Committee on Military Nutrition Research. 6, Regulation of Muscle Mass and Function: Effects of Aging and Hormones. Available online: https://www.ncbi.nlm.nih.gov/books/NBK224631/ (accessed on 1 May 2024).
  3. Sartori, R.; Romanello, V.; Sandri, M. Mechanisms of Muscle Atrophy and Hypertrophy: Implications in Health and Disease. Nat. Commun. 2021, 12, 330. [Google Scholar] [CrossRef] [PubMed]
  4. Nocuń, A.; Chrapko, B. Multiple and Solitary Skeletal Muscle Metastases on 18F-FDG PET/CT Imaging. Nucl. Med. Commun. 2015, 36, 1091–1099. [Google Scholar] [CrossRef] [PubMed]
  5. Haygood, T.M.; Wong, J.; Lin, J.C.; Li, S.; Matamoros, A.; Costelloe, C.M.; Yeung, H.; Sandler, C.M.; Nunez, R.F.; Kumar, R.; et al. Skeletal Muscle Metastases: A Three-Part Study of a Not-so-Rare Entity. Skeletal Radiol. 2012, 41, 899–909. [Google Scholar] [CrossRef] [PubMed]
  6. Pretell-Mazzini, J.; Younis, M.H.; Subhawong, T. Skeletal Muscle Metastases from Carcinomas. JBJS Rev. 2020, 8, e19.00114-8. [Google Scholar] [CrossRef] [PubMed]
  7. Salemis, N.S. Skeletal Muscle Metastasis from Breast Cancer: Management and Literature Review. Breast Dis. 2015, 35, 37–40. [Google Scholar] [CrossRef] [PubMed]
  8. Kohashi, K.; Kinoshita, I.; Oda, Y. Soft Tissue Special Issue: Skeletal Muscle Tumors: A Clinicopathological Review. Head Neck Pathol. 2020, 14, 12–20. [Google Scholar] [CrossRef]
  9. Rudzinski, E.R.; Anderson, J.R.; Hawkins, D.S.; Skapek, S.X.; Parham, D.M.; Teot, L.A. The World Health Organization Classification of Skeletal Muscle Tumors in Pediatric Rhabdomyosarcoma: A Report From the Children’s Oncology Group. Arch. Pathol. Lab. Med. 2015, 139, 1281–1287. [Google Scholar] [CrossRef] [PubMed]
  10. Qualman, S.J.; Coffin, C.M.; Newton, W.A.; Hojo, H.; Triche, T.J.; Parham, D.M.; Crist, W.M. Intergroup Rhabdomyosarcoma Study: Update for Pathologists. Pediatr. Development. Pathol. 1998, 1, 550–561. [Google Scholar] [CrossRef] [PubMed]
  11. Skapek, S.X.; Ferrari, A.; Gupta, A.A.; Lupo, P.J.; Butler, E.; Shipley, J.; Barr, F.G.; Hawkins, D.S. Rhabdomyosarcoma. Nat. Rev. Dis. Primers 2019, 5, 1. [Google Scholar] [CrossRef]
  12. Hebestreit, Helge.; Bar-Or, Oded.; IOC Medical Commission.; International Federation of Sports Medicine. The Young Athlete; Blackwell Pub, 2008; ISBN 9781405156479.
  13. Cancer Statistics Branch Cancer Surveillance Research Program Cancer Incidence and Survival among Children and Adolescents: United States SEER Program 1975-1995. Available online: https://seer.cancer.gov/archive/publications/childhood/childhood-monograph.pdf (accessed on 29 April 2024).
  14. Lychou, S.E.; Gustafsson, G.G.; Ljungman, G.E. Higher Rates of Metastatic Disease May Explain the Declining Trend in Swedish Paediatric Rhabdomyosarcoma Survival Rates. Acta Paediatr. 2016, 105, 74–81. [Google Scholar] [CrossRef] [PubMed]
  15. Stiller, C.A.; Parkint, D.M. International Variations in the Incidence of Childhood Soft-tissue Sarcomas. Paediatr. Perinat. Epidemiol. 1994, 8, 107–119. [Google Scholar] [CrossRef] [PubMed]
  16. Hawkins, D.S.; Spunt, S.L.; Skapek, S.X. Children’s Oncology Group’s 2013 Blueprint for Research: Soft Tissue Sarcomas. Pediatr. Blood Cancer 2013, 60, 1001–1008. [Google Scholar] [CrossRef] [PubMed]
  17. National Cancer Institute Surveillance, E. and E.R.P. Cancer Stat Facts. Available online: https://seer.cancer.gov/statfacts/ (accessed on 29 April 2024).
  18. Ferrari, A.; Dileo, P.; Casanova, M.; Bertulli, R.; Meazza, C.; Gandola, L.; Navarria, P.; Collini, P.; Gronchi, A.; Olmi, P.; et al. Rhabdomyosarcoma in Adults. Cancer 2003, 98, 571–580. [Google Scholar] [CrossRef] [PubMed]
  19. Abramson Cancer Center Rhabdomyosarcoma (RMS). Available online: https://www.pennmedicine.org/cancer/types-of-cancer/sarcoma/types-of-sarcoma/soft-tissue-sarcoma/rhabdomyosarcoma#:~:text=But%20they%20are%20still%20rare,soft%20tissue%20sarcomas%20found%20annually (accessed on 6 May 2024).
  20. Surov, A.; Hainz, M.; Holzhausen, H.-J.; Arnold, D.; Katzer, M.; Schmidt, J.; Spielmann, R.P.; Behrmann, C. Skeletal Muscle Metastases: Primary Tumours, Prevalence, and Radiological Features. Eur. Radiol. 2010, 20, 649–658. [Google Scholar] [CrossRef] [PubMed]
  21. Caunter, G.; Faeez Md Noh, M.S.; Safri, L.S.; Kumar, K.; Md Idris, M.A.; Harunarashid, H.; Yahaya, A. Delayed Presentation of Metastatic Renal Cell Carcinoma as an Arteriovenous Malformation Mimicking Vascular Tumour of the Forearm. EJVES Short Rep. 2019, 44, 19–22. [Google Scholar] [CrossRef] [PubMed]
  22. Pop, D.; Nadeemy, A.S.; Venissac, N.; Guiraudet, P.; Otto, J.; Poudenx, M.; Mouroux, J. Skeletal Muscle Metastasis from Non-Small Cell Lung Cancer. J. Thorac. Oncol. 2009, 4, 1236–1241. [Google Scholar] [CrossRef] [PubMed]
  23. Molina-Garrido, M.J.; Guillén-Ponce, C. Muscle Metastasis of Carcinoma. Clin. Translat. Oncol. 2011, 13, 98–101. [Google Scholar] [CrossRef] [PubMed]
  24. Acinas García, O.; Fernández, F.A.; Satué, E.G.; Buelta, L.; Val-Bernal, J.F. Metastasis of Malignant Neoplasms to Skeletal Muscle. Rev. Esp. Oncol. 1984, 31, 57–67. [Google Scholar]
  25. LaBan, M.M.; Nagarajan, R.; Riutta, J.C. Paucity of Muscle Metastasis in Otherwise Widely Disseminated Cancer: A Conundrum. Am. J. Phys. Med. Rehabil. 2010, 89, 931–935. [Google Scholar] [CrossRef]
  26. Baracos, V.E.; Martin, L.; Korc, M.; Guttridge, D.C.; Fearon, K.C.H. Cancer-Associated Cachexia. Nat. Rev. Dis. Primers 2018, 4, 17105. [Google Scholar] [CrossRef] [PubMed]
  27. Choi, M.H.; Yoon, S.B. Sarcopenia in Pancreatic Cancer: Effect on Patient Outcomes. World J. Gastrointest. Oncol. 2022, 14, 2302–2312. [Google Scholar] [CrossRef] [PubMed]
  28. Fang, P.; Zhou, J.; Xiao, X.; Yang, Y.; Luan, S.; Liang, Z.; Li, X.; Zhang, H.; Shang, Q.; Zeng, X.; et al. The Prognostic Value of Sarcopenia in Oesophageal Cancer: A Systematic Review and Meta-Analysis. J. Cachexia Sarcopenia Muscle 2023, 14, 3–16. [Google Scholar] [CrossRef] [PubMed]
  29. Omori, A.; Kawakubo, N.; Takemoto, J.; Souzaki, R.; Obata, S.; Nagata, K.; Matsuura, T.; Tajiri, T.; Taguchi, T. Effects of Changes in Skeletal Muscle Mass on the Prognosis of Pediatric Malignant Solid Tumors. Pediatr. Surg. Int. 2022, 38, 1829–1838. [Google Scholar] [CrossRef] [PubMed]
  30. Aduse-Poku, L.; Karanth, S.D.; Wheeler, M.; Yang, D.; Washington, C.; Hong, Y.-R.; Manini, T.M.; Fabregas, J.C.; Cheng, T.-Y.D.; Braithwaite, D. Associations of Total Body Fat Mass and Skeletal Muscle Index with All-Cause and Cancer-Specific Mortality in Cancer Survivors. Cancers (Basel) 2023, 15, 1081. [Google Scholar] [CrossRef] [PubMed]
  31. Cortellini, A.; Bozzetti, F.; Palumbo, P.; Brocco, D.; Di Marino, P.; Tinari, N.; De Tursi, M.; Agostinelli, V.; Patruno, L.; Valdesi, C.; et al. Weighing the Role of Skeletal Muscle Mass and Muscle Density in Cancer Patients Receiving PD-1/PD-L1 Checkpoint Inhibitors: A Multicenter Real-Life Study. Sci. Rep. 2020, 10, 1456. [Google Scholar] [CrossRef]
  32. Hong, S.; Kim, K.W.; Park, H.J.; Ko, Y.; Yoo, C.; Park, S.Y.; Khang, S.; Jeong, H.; Lee, J. Impact of Baseline Muscle Mass and Myosteatosis on the Development of Early Toxicity During First-Line Chemotherapy in Patients With Initially Metastatic Pancreatic Cancer. Front. Oncol. 2022, 12. [Google Scholar] [CrossRef] [PubMed]
  33. Limpawattana, P.; Theerakulpisut, D.; Wirasorn, K.; Sookprasert, A.; Khuntikeo, N.; Chindaprasirt, J. The Impact of Skeletal Muscle Mass on Survival Outcome in Biliary Tract Cancer Patients. PLoS One 2018, 13, e0204985. [Google Scholar] [CrossRef] [PubMed]
  34. Protani, M.; Coory, M.; Martin, J.H. Effect of Obesity on Survival of Women with Breast Cancer: Systematic Review and Meta-Analysis. Breast Cancer Res. Treat. 2010, 123, 627–635. [Google Scholar] [CrossRef]
  35. Caan, B.J.; Cespedes Feliciano, E.M.; Kroenke, C.H. The Importance of Body Composition in Explaining the Overweight Paradox in Cancer—Counterpoint. Cancer Res. 2018, 78, 1906–1912. [Google Scholar] [CrossRef]
  36. Moore, S.C.; Lee, I.-M.; Weiderpass, E.; Campbell, P.T.; Sampson, J.N.; Kitahara, C.M.; Keadle, S.K.; Arem, H.; Berrington de Gonzalez, A.; Hartge, P.; et al. Association of Leisure-Time Physical Activity With Risk of 26 Types of Cancer in 1.44 Million Adults. JAMA Intern. Med. 2016, 176, 816. [Google Scholar] [CrossRef] [PubMed]
  37. Wang, Q.; Zhou, W. Roles and Molecular Mechanisms of Physical Exercise in Cancer Prevention and Treatment. J. Sport Health Sci. 2021, 10, 201–210. [Google Scholar] [CrossRef] [PubMed]
  38. Hojman, P.; Gehl, J.; Christensen, J.F.; Pedersen, B.K. Molecular Mechanisms Linking Exercise to Cancer Prevention and Treatment. Cell Metab. 2018, 27, 10–21. [Google Scholar] [CrossRef] [PubMed]
  39. Zhu, C.; Ma, H.; He, A.; Li, Y.; He, C.; Xia, Y. Exercise in Cancer Prevention and Anticancer Therapy: Efficacy, Molecular Mechanisms and Clinical Information. Cancer Lett. 2022, 544, 215814. [Google Scholar] [CrossRef] [PubMed]
  40. Goh, J.; Niksirat, N.; Campbell, K.L. Exercise Training and Immune Crosstalk in Breast Cancer Microenvironment: Exploring the Paradigms of Exercise-Induced Immune Modulation and Exercise-Induced Myokines. Am. J. Transl. Res. 2014, 6, 422–438. [Google Scholar]
  41. Gannon, N.P.; Vaughan, R.A.; Garcia-Smith, R.; Bisoffi, M.; Trujillo, K.A. Effects of the Exercise-inducible Myokine Irisin on Malignant and Non-malignant Breast Epithelial Cell Behavior in Vitro. Int. J. Cancer 2015, 136. [Google Scholar] [CrossRef] [PubMed]
  42. Hojman, P.; Dethlefsen, C.; Brandt, C.; Hansen, J.; Pedersen, L.; Pedersen, B.K. Exercise-Induced Muscle-Derived Cytokines Inhibit Mammary Cancer Cell Growth. Am. J. Physiol. Endocrin. Metab. 2011, 301, E504–E510. [Google Scholar] [CrossRef] [PubMed]
  43. Kong, G.; Jiang, Y.; Sun, X.; Cao, Z.; Zhang, G.; Zhao, Z.; Zhao, Y.; Yu, Q.; Cheng, G. Irisin Reverses the IL-6 Induced Epithelial-Mesenchymal Transition in Osteosarcoma Cell Migration and Invasion through the STAT3/Snail Signaling Pathway. Oncol. Rep. 2017, 38, 2647–2656. [Google Scholar] [CrossRef] [PubMed]
  44. Aoi, W.; Naito, Y.; Takagi, T.; Tanimura, Y.; Takanami, Y.; Kawai, Y.; Sakuma, K.; Hang, L.P.; Mizushima, K.; Hirai, Y.; et al. A Novel Myokine, Secreted Protein Acidic and Rich in Cysteine (SPARC), Suppresses Colon Tumorigenesis via Regular Exercise. Gut 2013, 62, 882–889. [Google Scholar] [CrossRef] [PubMed]
  45. Roy, P.; Chowdhury, S.; Roy, H.K. Exercise-Induced Myokines as Emerging Therapeutic Agents in Colorectal Cancer Prevention and Treatment. Future Oncol. 2018, 14, 309–312. [Google Scholar] [CrossRef]
  46. Huang, C.; Chang, Y.; Lee, H.; Wu, J.; Huang, J.; Chung, Y.; Hsu, S.; Chow, L.; Wei, K.; Huang, F. Irisin, an Exercise Myokine, Potently Suppresses Tumor Proliferation, Invasion, and Growth in Glioma. FASEB J. 2020, 34, 9678–9693. [Google Scholar] [CrossRef]
  47. Liu, J.; Huang, Y.; Liu, Y.; Chen, Y. Irisin Enhances Doxorubicin-Induced Cell Apoptosis in Pancreatic Cancer by Inhibiting the PI3K/AKT/NF-ΚB Pathway. Med. Sci. Monit. 2019, 25, 6085–6096. [Google Scholar] [CrossRef]
  48. Shi, G.; Tang, N.; Qiu, J.; Zhang, D.; Huang, F.; Cheng, Y.; Ding, K.; Li, W.; Zhang, P.; Tan, X. Irisin Stimulates Cell Proliferation and Invasion by Targeting the PI3K/AKT Pathway in Human Hepatocellular Carcinoma. Biochem. Biophys. Res. Commun. 2017, 493, 585–591. [Google Scholar] [CrossRef]
  49. Wang, B.; Zheng, B.; Lu, Y.; Huang, D.; Liu, J.; Song, J.; Zheng, S. FNDC4 Acts as an Extracellular Factor to Promote the Invasiveness of Hepatocellular Carcinoma Partly via the PI3K/Akt Signalling Pathway. Cancer Med. 2021, 10, 7242–7252. [Google Scholar] [CrossRef]
  50. Dong, H.; Lv, X.; Gao, P.; Hao, Y. Potential Role of Irisin in Lung Diseases and Advances in Research. Front. Pharmacol. 2023, 14. [Google Scholar] [CrossRef]
  51. Alizadeh Zarei, M.; Seyed Hosseini, E.; Haddad Kashani, H.; Ahmad, E.; Nikzad, H. Effects of the Exercise-Inducible Myokine Irisin on Proliferation and Malignant Properties of Ovarian Cancer Cells through the HIF-1 α Signaling Pathway. Sci. Rep. 2023, 13, 170. [Google Scholar] [CrossRef]
  52. Kim, J.-S.; Galvão, D.A.; Newton, R.U.; Gray, E.; Taaffe, D.R. Exercise-Induced Myokines and Their Effect on Prostate Cancer. Nat. Rev. Urol. 2021, 18, 519–542. [Google Scholar] [CrossRef]
  53. Kim, J.-S.; Taaffe, D.R.; Galvão, D.A.; Hart, N.H.; Gray, E.; Ryan, C.J.; Kenfield, S.A.; Saad, F.; Newton, R.U. Exercise in Advanced Prostate Cancer Elevates Myokine Levels and Suppresses In-Vitro Cell Growth. Prost. Cancer Prost. Dis. 2022, 25, 86–92. [Google Scholar] [CrossRef]
  54. Kim, J.-S.; Wilson, R.L.; Taaffe, D.R.; Galvão, D.A.; Gray, E.; Newton, R.U. Myokine Expression and Tumor-Suppressive Effect of Serum after 12 Wk of Exercise in Prostate Cancer Patients on ADT. Med. Sci. Sports Exerc. 2022, 54, 197–205. [Google Scholar] [CrossRef]
  55. Hayes, B.D.; Brady, L.; Pollak, M.; Finn, S.P. Exercise and Prostate Cancer: Evidence and Proposed Mechanisms for Disease Modification. Cancer Epidem. Biomarkers Prevent. 2016, 25, 1281–1288. [Google Scholar] [CrossRef] [PubMed]
  56. Kim, J.-S.; Taaffe, D.R.; Galvão, D.A.; Clay, T.D.; Redfern, A.D.; Hart, N.H.; Gray, E.S.; Ryan, C.J.; Kenfield, S.A.; Saad, F.; et al. Acute Effect of High-Intensity Interval Aerobic Exercise on Serum Myokine Levels and Resulting Tumour-Suppressive Effect in Trained Patients with Advanced Prostate Cancer. Prost. Cancer Prost. Dis. 2023, 26, 795–801. [Google Scholar] [CrossRef] [PubMed]
  57. Saeedi Sadr, A.; Ehteram, H.; Seyed Hosseini, E.; Alizadeh Zarei, M.; Hassani Bafrani, H.; Haddad Kashani, H. The Effect of Irisin on Proliferation, Apoptosis, and Expression of Metastasis Markers in Prostate Cancer Cell Lines. Oncol. Ther. 2022, 10, 377–388. [Google Scholar] [CrossRef]
  58. Schwappacher, R.; Dieterich, W.; Reljic, D.; Pilarsky, C.; Mukhopadhyay, D.; Chang, D.K.; Biankin, A. V.; Siebler, J.; Herrmann, H.J.; Neurath, M.F.; et al. Muscle-Derived Cytokines Reduce Growth, Viability and Migratory Activity of Pancreatic Cancer Cells. Cancers (Basel) 2021, 13, 3820. [Google Scholar] [CrossRef]
  59. Liu, J.; Song, N.; Huang, Y.; Chen, Y. Irisin Inhibits Pancreatic Cancer Cell Growth via the AMPK-MTOR Pathway. Sci. Rep. 2018, 8, 15247. [Google Scholar] [CrossRef]
  60. Yang, B.C.; Leung, P.S. Irisin Is a Positive Regulator for Ferroptosis in Pancreatic Cancer. Mol. Ther. Oncolytics 2020, 18, 457–466. [Google Scholar] [CrossRef] [PubMed]
  61. Holtzer, H.; Marshall, J.M.; Finck, H. An Analysis of Myogenesis by the Use of Fluorescent Antimyosin. J. Cell Biol. 1957, 3, 705–724. [Google Scholar] [CrossRef]
  62. Borowik, A.K.; Davidyan, A.; Peelor, F.F.; Voloviceva, E.; Doidge, S.M.; Bubak, M.P.; Mobley, C.B.; McCarthy, J.J.; Dupont-Versteegden, E.E.; Miller, B.F. Skeletal Muscle Nuclei in Mice Are Not Post-Mitotic. Function 2022, 4. [Google Scholar] [CrossRef]
  63. Fu, Y.-X.; Wang, G.; Chen, K.; Ma, X.; Liu, S.-Q.; Miao, W. Amitosis as a Strategy of Cell Division—Insight from the Proliferation of Tetrahymena Thermophila Macronuclei. Theor. Popul. Biol. 2022, 145, 52–62. [Google Scholar] [CrossRef]
  64. White-Gilbertson, S.; Lu, P.; Esobi, I.; Echesabal-Chen, J.; Mulholland, P.J.; Gooz, M.; Ogretmen, B.; Stamatikos, A.; Voelkel-Johnson, C. Polyploid Giant Cancer Cells Are Dependent on Cholesterol for Progeny Formation through Amitotic Division. Sci. Rep. 2022, 12, 8971. [Google Scholar] [CrossRef] [PubMed]
  65. Louis, D.N.; Perry, A.; Wesseling, P.; Brat, D.J.; Cree, I.A.; Figarella-Branger, D.; Hawkins, C.; Ng, H.K.; Pfister, S.M.; Reifenberger, G.; et al. The 2021 WHO Classification of Tumors of the Central Nervous System: A Summary. Neuro. Oncol. 2021, 23, 1231–1251. [Google Scholar] [CrossRef] [PubMed]
  66. Gillies, A.R.; Lieber, R.L. Structure and Function of the Skeletal Muscle Extracellular Matrix. Muscle Nerve 2011, 44, 318–331. [Google Scholar] [CrossRef] [PubMed]
  67. Chandler, K.; Vance, C.; Budnick, S.; Muller, S. Muscle Invasion in Oral Tongue Squamous Cell Carcinoma as a Predictor of Nodal Status and Local Recurrence: Just as Effective as Depth of Invasion? Head Neck Pathol. 2011, 5, 359–363. [Google Scholar] [CrossRef] [PubMed]
  68. Surov, A.; Holzhausen, H.-J.; Arnold, D.; Schmidt, J.; Spielmann, R.-P.; Behrmann, C. Intramuscular Manifestation of Non-Hodgkin Lymphoma and Myeloma: Prevalence, Clinical Signs, and Computed Tomography Features. Acta Radiol. 2010, 51, 47–51. [Google Scholar] [CrossRef] [PubMed]
  69. Khan, Z.A.; Mehta, S.; Sumathi, N.; Dhiwakar, M. Occult Invasion of Sternothyroid Muscle by Differentiated Thyroid Cancer. European Arch. Oto Rhino Laryngol. 2018, 275, 233–238. [Google Scholar] [CrossRef] [PubMed]
  70. Beunk, L.; Brown, K.; Nagtegaal, I.; Friedl, P.; Wolf, K. Cancer Invasion into Musculature: Mechanics, Molecules and Implications. Semin. Cell Dev. Biol. 2019, 93, 36–45. [Google Scholar] [CrossRef]
  71. Patel, T.J.; Lieber, R.L. Force Transmission in Skeletal Muscle: From Actomyosin to External Tendons. Exerc. Sport Sci. Rev. 1997, 25, 321–363. [Google Scholar] [CrossRef] [PubMed]
  72. Tidball, J.G. Mechanical Signal Transduction in Skeletal Muscle Growth and Adaptation. J. Appl. Physiol. 2005, 98, 1900–1908. [Google Scholar] [CrossRef] [PubMed]
  73. Burkholder, T.J. Mechanotransduction in Skeletal Muscle. Front. Biosci. 2007, 12, 174. [Google Scholar] [CrossRef] [PubMed]
  74. Oliveira, G.H.; Al-Kindi, S.G.; Hoimes, C.; Park, S.J. Characteristics and Survival of Malignant Cardiac Tumors. Circulation 2015, 132, 2395–2402. [Google Scholar] [CrossRef]
  75. Paraskevaidis, I.A.; Michalakeas, C.A.; Papadopoulos, C.H.; Anastasiou-Nana, M. Cardiac Tumors. ISRN Oncol. 2011, 2011, 1–5. [Google Scholar] [CrossRef]
  76. Hamilton, M.T. The Role of Skeletal Muscle Contractile Duration throughout the Whole Day: Reducing Sedentary Time and Promoting Universal Physical Activity in All People. J. Physiol. 2018, 596, 1331–1340. [Google Scholar] [CrossRef] [PubMed]
  77. Wang, Z.; Ying, Z.; Bosy-Westphal, A.; Zhang, J.; Schautz, B.; Later, W.; Heymsfield, S.B.; Müller, M.J. Specific Metabolic Rates of Major Organs and Tissues across Adulthood: Evaluation by Mechanistic Model of Resting Energy Expenditure. Am. J. Clin. Nutr. 2010, 92, 1369–1377. [Google Scholar] [CrossRef]
  78. Warburg, O. On the Origin of Cancer Cells. Science (1979) 1956, 123, 309–314. [Google Scholar] [CrossRef] [PubMed]
  79. Zhang, Y.; Liang, X.; Zhang, L.; Wang, D. Metabolic Characterization and Metabolism-Score of Tumor to Predict the Prognosis in Prostate Cancer. Sci. Rep. 2021, 11, 22486. [Google Scholar] [CrossRef] [PubMed]
  80. Stephenson, R.B. Local Control of Blood Flow. In Cunningham’s Textbook of Veterinary Physiology; Elsevier, 2020; pp. 253–261.
  81. Dang, C. V. Links between Metabolism and Cancer. Genes Dev. 2012, 26, 877–890. [Google Scholar] [CrossRef] [PubMed]
  82. Chio, I.I.C.; Tuveson, D.A. ROS in Cancer: The Burning Question. Trends Mol. Med. 2017, 23, 411–429. [Google Scholar] [CrossRef]
  83. Lee, S.; Ju, M.; Jeon, H.; Lee, Y.; Kim, C.; Park, H.; Han, S.; Kang, H. Reactive Oxygen Species Induce Epithelial-mesenchymal Transition, Glycolytic Switch, and Mitochondrial Repression through the Dlx-2/Snail Signaling Pathways in MCF-7 Cells. Mol. Med. Rep. 2019. [Google Scholar] [CrossRef]
  84. Jiang, J.; Wang, K.; Chen, Y.; Chen, H.; Nice, E.C.; Huang, C. Redox Regulation in Tumor Cell Epithelial–Mesenchymal Transition: Molecular Basis and Therapeutic Strategy. Signal Transduc.t Target. Ther. 2017, 2, 17036. [Google Scholar] [CrossRef] [PubMed]
  85. International Agency for Research on Cancer-World Health Organization Cancer Today. Available online: https://gco.iarc.fr/today/home (accessed on 29 April 2024).
  86. Hudlická, O. Development and Adaptability of Microvasculature in Skeletal Muscle. Journal of Exp. Biol. 1985, 115, 215–228. [Google Scholar] [CrossRef]
  87. Richardson, R.S.; Poole, D.C.; Knight, D.R.; Kurdak, S.S.; Hogan, M.C.; Grassi, B.; Johnson, E.C.; Kendrick, K.F.; Erickson, B.K.; Wagner, P.D. High Muscle Blood Flow in Man: Is Maximal O2 Extraction Compromised? J. Appl. Physiol. 1993, 75, 1911–1916. [Google Scholar] [CrossRef]
  88. Egginton, S. Invited Review: Activity-Induced Angiogenesis. Pflugers Arch. 2009, 457, 963–977. [Google Scholar] [CrossRef] [PubMed]
  89. Pillon, N.J.; Li, Y.E.; Fink, L.N.; Brozinick, J.T.; Nikolayev, A.; Kuo, M.-S.; Bilan, P.J.; Klip, A. Nucleotides Released From Palmitate-Challenged Muscle Cells Through Pannexin-3 Attract Monocytes. Diabetes 2014, 63, 3815–3826. [Google Scholar] [CrossRef] [PubMed]
  90. Ziemkiewicz, N.; Hilliard, G.; Pullen, N.A.; Garg, K. The Role of Innate and Adaptive Immune Cells in Skeletal Muscle Regeneration. Int. J. Mol. Sci. 2021, 22, 3265. [Google Scholar] [CrossRef] [PubMed]
  91. Abbott, M.; Ustoyev, Y. Cancer and the Immune System: The History and Background of Immunotherapy. Semin. Oncol. Nurs. 2019, 35, 150923. [Google Scholar] [CrossRef]
  92. Koelwyn, G.J.; Wennerberg, E.; Demaria, S.; Jones, L.W. Exercise in Regulation of Inflammation-Immune Axis Function in Cancer Initiation and Progression. Oncol. (Williston Park) 2015, 29, 908–920 + 922. [Google Scholar]
  93. Kurz, E.; Hirsch, C.A.; Dalton, T.; Shadaloey, S.A.; Khodadadi-Jamayran, A.; Miller, G.; Pareek, S.; Rajaei, H.; Mohindroo, C.; Baydogan, S.; et al. Exercise-Induced Engagement of the IL-15/IL-15Rα Axis Promotes Anti-Tumor Immunity in Pancreatic Cancer. Cancer Cell 2022, 40, 720–737.e5. [Google Scholar] [CrossRef] [PubMed]
  94. Wennerberg, E.; Lhuillier, C.; Rybstein, M.D.; Dannenberg, K.; Rudqvist, N.-P.; Koelwyn, G.J.; Jones, L.W.; Demaria, S. Exercise Reduces Immune Suppression and Breast Cancer Progression in a Preclinical Model. Oncotarget 2020, 11, 452–461. [Google Scholar] [CrossRef]
  95. Gomes-Santos, I.L.; Amoozgar, Z.; Kumar, A.S.; Ho, W.W.; Roh, K.; Talele, N.P.; Curtis, H.; Kawaguchi, K.; Jain, R.K.; Fukumura, D. Exercise Training Improves Tumor Control by Increasing CD8+ T-Cell Infiltration via CXCR3 Signaling and Sensitizes Breast Cancer to Immune Checkpoint Blockade. Cancer Immunol. Res. 2021, 9, 765–778. [Google Scholar] [CrossRef]
  96. Idorn, M.; Hojman, P. Exercise-Dependent Regulation of NK Cells in Cancer Protection. Trends Mol. Med. 2016, 22, 565–577. [Google Scholar] [CrossRef]
  97. Hargreaves, M.; Spriet, L.L. Skeletal Muscle Energy Metabolism during Exercise. Nat. Metab. 2020, 2, 817–828. [Google Scholar] [CrossRef]
  98. Flouris, A.D.; Dinas, P.C.; Tsitoglou, K.; Patramani, I.; Koutedakis, Y.; Kenny, G.P. Non-Invasive Measurement of Tibialis Anterior Muscle Temperature during Rest, Cycling Exercise and Post-Exercise Recovery. Physiol. Meas. 2015, 36, N103–N113. [Google Scholar] [CrossRef]
  99. Flouris, A.D.; Webb, P.; Kenny, G.P. Noninvasive Assessment of Muscle Temperature during Rest, Exercise, and Postexercise Recovery in Different Environments. J. Appl. Physiol. 2015, 118, 1310–1320. [Google Scholar] [CrossRef]
  100. Fisher, D.T.; Chen, Q.; Skitzki, J.J.; Muhitch, J.B.; Zhou, L.; Appenheimer, M.M.; Vardam, T.D.; Weis, E.L.; Passanese, J.; Wang, W.-C.; et al. IL-6 Trans-Signaling Licenses Mouse and Human Tumor Microvascular Gateways for Trafficking of Cytotoxic T Cells. J. Clin. Investig. 2011, 121, 3846–3859. [Google Scholar] [CrossRef] [PubMed]
  101. Chen, Q.; Fisher, D.T.; Clancy, K.A.; Gauguet, J.-M.M.; Wang, W.-C.; Unger, E.; Rose-John, S.; von Andrian, U.H.; Baumann, H.; Evans, S.S. Fever-Range Thermal Stress Promotes Lymphocyte Trafficking across High Endothelial Venules via an Interleukin 6 Trans-Signaling Mechanism. Nat. Immunol. 2006, 7, 1299–1308. [Google Scholar] [CrossRef] [PubMed]
  102. Evans, S.S.; Repasky, E.A.; Fisher, D.T. Fever and the Thermal Regulation of Immunity: The Immune System Feels the Heat. Nat. Rev. Immunol. 2015, 15, 335–349. [Google Scholar] [CrossRef] [PubMed]
  103. Özdemir, B.H.; Özdemir, A.A. How Exercise Affects the Development and Progression of Hepatocellular Carcinoma by Changing the Biomolecular Status of the Tumor Microenvironment. Exp. Clin. Transplant. 2022. [Google Scholar] [CrossRef]
  104. Zhang, X.; Ashcraft, K.A.; Betof Warner, A.; Nair, S.K.; Dewhirst, M.W. Can Exercise-Induced Modulation of the Tumor Physiologic Microenvironment Improve Antitumor Immunity? Cancer Res. 2019, 79, 2447–2456. [Google Scholar] [CrossRef]
  105. Wiggins, J.M.; Opoku-Acheampong, A.B.; Baumfalk, D.R.; Siemann, D.W.; Behnke, B.J. Exercise and the Tumor Microenvironment: Potential Therapeutic Implications. Exerc. Sport Sci. Rev. 2018, 46, 56–64. [Google Scholar] [CrossRef] [PubMed]
  106. Huang, Q.; Wu, M.; Wu, X.; Zhang, Y.; Xia, Y. Muscle-to-Tumor Crosstalk: The Effect of Exercise-Induced Myokine on Cancer Progression. Biochim. Biophys. Acta Rev. Cancer 2022, 1877, 188761. [Google Scholar] [CrossRef]
  107. Xin, Y.; Li, K.; Huang, M.; Liang, C.; Siemann, D.; Wu, L.; Tan, Y.; Tang, X. Biophysics in Tumor Growth and Progression: From Single Mechano-Sensitive Molecules to Mechanomedicine. Oncogene 2023, 42, 3457–3490. [Google Scholar] [CrossRef]
  108. Lampi, M.C.; Reinhart-King, C.A. Targeting Extracellular Matrix Stiffness to Attenuate Disease: From Molecular Mechanisms to Clinical Trials. Sci. Transl. Med. 2018, 10. [Google Scholar] [CrossRef] [PubMed]
  109. Liang, C.; Huang, M.; Li, T.; Li, L.; Sussman, H.; Dai, Y.; Siemann, D.W.; Xie, M.; Tang, X. Towards an Integrative Understanding of Cancer Mechanobiology: Calcium, YAP, and MicroRNA under Biophysical Forces. Soft Matter 2022, 18, 1112–1148. [Google Scholar] [CrossRef] [PubMed]
  110. Tan, Y.; Tajik, A.; Chen, J.; Jia, Q.; Chowdhury, F.; Wang, L.; Chen, J.; Zhang, S.; Hong, Y.; Yi, H.; et al. Matrix Softness Regulates Plasticity of Tumour-Repopulating Cells via H3K9 Demethylation and Sox2 Expression. Nat. Commun. 2014, 5, 4619. [Google Scholar] [CrossRef] [PubMed]
  111. Liu, J.; Tan, Y.; Zhang, H.; Zhang, Y.; Xu, P.; Chen, J.; Poh, Y.-C.; Tang, K.; Wang, N.; Huang, B. Soft Fibrin Gels Promote Selection and Growth of Tumorigenic Cells. Nat. Mater. 2012, 11, 734–741. [Google Scholar] [CrossRef] [PubMed]
  112. McGrail, D.J.; Kieu, Q.M.N.; Dawson, M.R. Metastatic Ovarian Cancer Cell Malignancy Is Increased on Soft Matrices through a Mechanosensitive Rho/ROCK Pathway. J. Cell Sci. 2014. [Google Scholar] [CrossRef]
  113. Lange, J.R.; Fabry, B. Cell and Tissue Mechanics in Cell Migration. Exp. Cell Res. 2013, 319, 2418–2423. [Google Scholar] [CrossRef] [PubMed]
  114. Nijsten, M.W.N.; van Dam, G.M. Hypothesis: Using the Warburg Effect against Cancer by Reducing Glucose and Providing Lactate. Med. Hypotheses 2009, 73, 48–51. [Google Scholar] [CrossRef] [PubMed]
  115. Aveseh, M.; Nikooie, R.; Aminaie, M. Exercise-induced Changes in Tumour LDH-B and MCT1 Expression Are Modulated by Oestrogen-related Receptor Alpha in Breast Cancer-bearing BALB/c Mice. J. Physiol. 2015, 593, 2635–2648. [Google Scholar] [CrossRef] [PubMed]
  116. Robergs, R.A.; Ghiasvand, F.; Parker, D. Biochemistry of Exercise-Induced Metabolic Acidosis. Am. J. Physiol. Reg. Integr. Compar. Physiol. 2004, 287, R502–R516. [Google Scholar] [CrossRef]
  117. Estrella, V.; Chen, T.; Lloyd, M.; Wojtkowiak, J.; Cornnell, H.H.; Ibrahim-Hashim, A.; Bailey, K.; Balagurunathan, Y.; Rothberg, J.M.; Sloane, B.F.; et al. Acidity Generated by the Tumor Microenvironment Drives Local Invasion. Cancer Res. 2013, 73, 1524–1535. [Google Scholar] [CrossRef]
  118. Gupta, M.K. Mechanism and Its Regulation of Tumor-Induced Angiogenesis. World J Gastroenterol. 2003, 9, 1144. [Google Scholar] [CrossRef] [PubMed]
  119. Webb, B.A.; Chimenti, M.; Jacobson, M.P.; Barber, D.L. Dysregulated PH: A Perfect Storm for Cancer Progression. Nat. Rev. Cancer 2011, 11, 671–677. [Google Scholar] [CrossRef] [PubMed]
  120. Persi, E.; Duran-Frigola, M.; Damaghi, M.; Roush, W.R.; Aloy, P.; Cleveland, J.L.; Gillies, R.J.; Ruppin, E. Systems Analysis of Intracellular PH Vulnerabilities for Cancer Therapy. Nat. Commun. 2018, 9, 2997. [Google Scholar] [CrossRef] [PubMed]
  121. Li, Y.; Zhao, L.; Li, X.-F. Hypoxia and the Tumor Microenvironment. Technol. Cancer Res. Treat. 2021, 20, 153303382110363. [Google Scholar] [CrossRef] [PubMed]
  122. McCullough, D.J.; Stabley, J.N.; Siemann, D.W.; Behnke, B.J. Modulation of Blood Flow, Hypoxia, and Vascular Function in Orthotopic Prostate Tumors During Exercise. JNCI: J. Natl. Cancer Inst. 2014, 106. [Google Scholar] [CrossRef] [PubMed]
  123. Crist, S.B.; Nemkov, T.; Dumpit, R.F.; Dai, J.; Tapscott, S.J.; True, L.D.; Swarbrick, A.; Sullivan, L.B.; Nelson, P.S.; Hansen, K.C.; et al. Unchecked Oxidative Stress in Skeletal Muscle Prevents Outgrowth of Disseminated Tumour Cells. Nat. Cell Biol. 2022, 24, 538–553. [Google Scholar] [CrossRef] [PubMed]
  124. Jaberi, S. Al; Cohen, A.; D’Souza, C.; Abdulrazzaq, Y.M.; Ojha, S.; Bastaki, S.; Adeghate, E.A. Lipocalin-2: Structure, Function, Distribution and Role in Metabolic Disorders. Biomed. Pharmacother. 2021, 142, 112002. [Google Scholar] [CrossRef] [PubMed]
  125. Chiang, K.-C.; Yeh, T.-S.; Wu, R.-C.; Pang, J.-H.S.; Cheng, C.-T.; Wang, S.-Y.; Juang, H.-H.; Yeh, C.-N. Lipocalin 2 (LCN2) Is a Promising Target for Cholangiocarcinoma Treatment and Bile LCN2 Level Is a Potential Cholangiocarcinoma Diagnostic Marker. Sci. Rep. 2016, 6, 36138. [Google Scholar] [CrossRef]
  126. Zhang, H.; Wu, P.; Guo, C.; Zhang, C.; Zhao, Y.; Tan, D.; An, J.; Shi, C. Lipocalin 2 May Be a Key Factor Regulating the Chemosensitivity of Pancreatic Cancer to Gemcitabine. Biochem. Biophys. Rep. 2022, 31, 101291. [Google Scholar] [CrossRef]
  127. Bao, G.-H.; Ho, C.-T.; Barasch, J. The Ligands of Neutrophil Gelatinase-Associated Lipocalin. RSC Adv. 2015, 5, 104363–104374. [Google Scholar] [CrossRef]
  128. Kidron, M.; Dudai, M.; Nachshon, I.; Mayer, M. Protease Inhibitor Activity in Human Skeletal Muscle. Biochem. Med. Metab. Biol. 1986, 36, 136–140. [Google Scholar] [CrossRef] [PubMed]
  129. Steensberg, A.; van Hall, G.; Osada, T.; Sacchetti, M.; Saltin, B.; Pedersen, B.K. Production of Interleukin-6 in Contracting Human Skeletal Muscles Can Account for the Exercise-induced Increase in Plasma Interleukin-6. J. Physiol. 2000, 529, 237–242. [Google Scholar] [CrossRef] [PubMed]
  130. Iizuka, K.; Machida, T.; Hirafuji, M. Skeletal Muscle Is an Endocrine Organ. J. Pharmacol. Sci. 2014, 125, 125–131. [Google Scholar] [CrossRef] [PubMed]
  131. Hoffmann, C.; Weigert, C. Skeletal Muscle as an Endocrine Organ: The Role of Myokines in Exercise Adaptations. Cold Spring Harb. Perspect. Med. 2017, 7, a029793. [Google Scholar] [CrossRef] [PubMed]
  132. Park, S.-Y.; Hwang, B.-O.; Song, N.-Y. The Role of Myokines in Cancer: Crosstalk between Skeletal Muscle and Tumor. BMB Rep. 2023, 56, 365–373. [Google Scholar] [CrossRef] [PubMed]
  133. Henningsen, J.; Rigbolt, K.T.G.; Blagoev, B.; Pedersen, B.K.; Kratchmarova, I. Dynamics of the Skeletal Muscle Secretome during Myoblast Differentiation. Molec. Cell. Proteom. 2010, 9, 2482–2496. [Google Scholar] [CrossRef] [PubMed]
  134. Pedersen, B.K.; Febbraio, M.A. Muscles, Exercise and Obesity: Skeletal Muscle as a Secretory Organ. Nat. Rev. Endocrinol. 2012, 8, 457–465. [Google Scholar] [CrossRef] [PubMed]
  135. Marçais, A.; Cherfils-Vicini, J.; Viant, C.; Degouve, S.; Viel, S.; Fenis, A.; Rabilloud, J.; Mayol, K.; Tavares, A.; Bienvenu, J.; et al. The Metabolic Checkpoint Kinase MTOR Is Essential for IL-15 Signaling during the Development and Activation of NK Cells. Nat. Immunol. 2014, 15, 749–757. [Google Scholar] [CrossRef] [PubMed]
  136. Satoh-Takayama, N.; Lesjean-Pottier, S.; Vieira, P.; Sawa, S.; Eberl, G.; Vosshenrich, C.A.J.; Di Santo, J.P. IL-7 and IL-15 Independently Program the Differentiation of Intestinal CD3−NKp46+ Cell Subsets from Id2-Dependent Precursors. J. Exp. Med. 2010, 207, 273–280. [Google Scholar] [CrossRef]
  137. Pedersen, L.; Idorn, M.; Olofsson, G.H.; Lauenborg, B.; Nookaew, I.; Hansen, R.H.; Johannesen, H.H.; Becker, J.C.; Pedersen, K.S.; Dethlefsen, C.; et al. Voluntary Running Suppresses Tumor Growth through Epinephrine- and IL-6-Dependent NK Cell Mobilization and Redistribution. Cell Metab. 2016, 23, 554–562. [Google Scholar] [CrossRef]
  138. Severinsen, M.C.K.; Pedersen, B.K. Muscle–Organ Crosstalk: The Emerging Roles of Myokines. Endocr. Rev. 2020, 41, 594–609. [Google Scholar] [CrossRef] [PubMed]
  139. Pedersen, B.K. Exercise-Induced Myokines and Their Role in Chronic Diseases. Brain Behav. Immun. 2011, 25, 811–816. [Google Scholar] [CrossRef] [PubMed]
  140. Balakrishnan, R.; Thurmond, D.C. Mechanisms by Which Skeletal Muscle Myokines Ameliorate Insulin Resistance. Int. J. Mol. Sci. 2022, 23, 4636. [Google Scholar] [CrossRef] [PubMed]
  141. Eckardt, K.; Görgens, S.W.; Raschke, S.; Eckel, J. Myokines in Insulin Resistance and Type 2 Diabetes. Diabetologia 2014, 57, 1087–1099. [Google Scholar] [CrossRef] [PubMed]
  142. Eckel, J. Myokines in Metabolic Homeostasis and Diabetes. Diabetologia 2019, 62, 1523–1528. [Google Scholar] [CrossRef]
  143. Stanford, K.I.; Goodyear, L.J. Exercise and Type 2 Diabetes: Molecular Mechanisms Regulating Glucose Uptake in Skeletal Muscle. Adv. Physiol. Educ. 2014, 38, 308–314. [Google Scholar] [CrossRef] [PubMed]
  144. Masjedi, A.; Hajizadeh, F.; Beigi Dargani, F.; Beyzai, B.; Aksoun, M.; Hojjat-Farsangi, M.; Zekiy, A.; Jadidi-Niaragh, F. Oncostatin M: A Mysterious Cytokine in Cancers. Int. Immunopharmacol. 2021, 90, 107158. [Google Scholar] [CrossRef]
  145. Richards, C.D. The Enigmatic Cytokine Oncostatin M and Roles in Disease. ISRN Inflamm 2013, 2013, 1–23. [Google Scholar] [CrossRef]
  146. Grant, S.L.; Hammacher, A.; Douglas, A.M.; Goss, G.A.; Mansfield, R.K.; Heath, J.K.; Begley, C.G. An Unexpected Biochemical and Functional Interaction between Gp130 and the EGF Receptor Family in Breast Cancer Cells. Oncogene 2002, 21, 460–474. [Google Scholar] [CrossRef]
  147. McIlwain, D.R.; Berger, T.; Mak, T.W. Caspase Functions in Cell Death and Disease. Cold Spring Harb. Perspect. Biol. 2013, 5, a008656. [Google Scholar] [CrossRef]
  148. Pan, C.-M.; Wang, M.-L.; Chiou, S.-H.; Chen, H.-Y.; Wu, C.-W. Oncostatin M Suppresses Metastasis of Lung Adenocarcinoma by Inhibiting SLUG Expression through Coordination of STATs and PIASs Signalings. Oncotarget 2016, 7, 60395–60406. [Google Scholar] [CrossRef]
  149. Kourtidis, A.; Lu, R.; Pence, L.J.; Anastasiadis, P.Z. A Central Role for Cadherin Signaling in Cancer. Exp. Cell Res. 2017, 358, 78–85. [Google Scholar] [CrossRef]
  150. Singhai, R.; Patil, V.; Jaiswal, S.; Patil, S.; Patil, M. E-Cadherin as a Diagnostic Biomarker in Breast Cancer. N. Am. J. Med. Sci. 2011, 227–233. [Google Scholar] [CrossRef]
  151. Halfter, H.; Friedrich, M.; Resch, A.; Kullmann, M.; Stögbauer, F.; Ringelstein, E.B.; Hengst, L. Oncostatin M Induces Growth Arrest by Inhibition of Skp2, Cks1, and Cyclin A Expression and Induced P21 Expression. Cancer Res. 2006, 66, 6530–6539. [Google Scholar] [CrossRef]
  152. Komori, T.; Morikawa, Y. Essential Roles of the Cytokine Oncostatin M in Crosstalk between Muscle Fibers and Immune Cells in Skeletal Muscle after Aerobic Exercise. J. Biol. Chem. 2022, 298, 102686. [Google Scholar] [CrossRef]
  153. Shao, L.; Li, H.; Chen, J.; Song, H.; Zhang, Y.; Wu, F.; Wang, W.; Zhang, W.; Wang, F.; Li, H.; et al. Irisin Suppresses the Migration, Proliferation, and Invasion of Lung Cancer Cells via Inhibition of Epithelial-to-Mesenchymal Transition. Biochem. Biophys. Res. Commun. 2017, 485, 598–605. [Google Scholar] [CrossRef]
  154. Xu, L.; Ye, Y.; Sun, Y.; Zhong, W.; Chi, L.; Lin, Y.; Liu, H.; Li, S.; Chen, H.; Li, C.; et al. Low FNDC5/Irisin Expression Is Associated with Aggressive Phenotypes in Gastric Cancer. Front. Pharmacol. 2022, 13. [Google Scholar] [CrossRef]
  155. Hicklin, D.J.; Ellis, L.M. Role of the Vascular Endothelial Growth Factor Pathway in Tumor Growth and Angiogenesis. J. Clin. Oncol. 2005, 23, 1011–1027. [Google Scholar] [CrossRef]
  156. Yiu, G.K.; Chan, W.Y.; Ng, S.-W.; Chan, P.S.; Cheung, K.K.; Berkowitz, R.S.; Mok, S.C. SPARC (Secreted Protein Acidic and Rich in Cysteine) Induces Apoptosis in Ovarian Cancer Cells. Am. J. Pathol. 2001, 159, 609–622. [Google Scholar] [CrossRef]
  157. Said, N.; Frierson, H.F.; Chernauskas, D.; Conaway, M.; Motamed, K.; Theodorescu, D. The Role of SPARC in the TRAMP Model of Prostate Carcinogenesis and Progression. Oncogene 2009, 28, 3487–3498. [Google Scholar] [CrossRef]
  158. Brekken, R.A.; Puolakkainen, P.; Graves, D.C.; Workman, G.; Lubkin, S.R.; Sage, E.H. Enhanced Growth of Tumors in SPARC Null Mice Is Associated with Changes in the ECM. J. Clin. Investig. 2003, 111, 487–495. [Google Scholar] [CrossRef]
  159. Schultz, C.; Lemke, N.; Ge, S.; Golembieski, W.A.; Rempel, S.A. Secreted Protein Acidic and Rich in Cysteine Promotes Glioma Invasion and Delays Tumor Growth in Vivo. Cancer Res. 2002, 62, 6270–6277. [Google Scholar]
  160. Ma, J.; Ma, Y.; Chen, S.; Guo, S.; Hu, J.; Yue, T.; Zhang, J.; Zhu, J.; Wang, P.; Chen, G.; et al. SPARC Enhances 5-FU Chemosensitivity in Gastric Cancer by Modulating Epithelial-Mesenchymal Transition and Apoptosis. Biochem. Biophys. Res. Commun. 2021, 558, 134–140. [Google Scholar] [CrossRef]
  161. Zhang, J.-L.; Chen, G.-W.; Liu, Y.-C.; Wang, P.-Y.; Wang, X.; Wan, Y.-L.; Zhu, J.; Gao, H.-Q.; Yin, J.; Wang, W.; et al. Secreted Protein Acidic and Rich in Cysteine (SPARC) Suppresses Angiogenesis by Down-Regulating the Expression of VEGF and MMP-7 in Gastric Cancer. PLoS One 2012, 7, e44618. [Google Scholar] [CrossRef]
  162. Cheng, L. Aberrant Crypt Foci as Microscopic Precursors of Colorectal Cancer. World J Gastroenterol. 2003, 9, 2642. [Google Scholar] [CrossRef]
  163. Chern, Y.-J.; Wong, J.C.T.; Cheng, G.S.W.; Yu, A.; Yin, Y.; Schaeffer, D.F.; Kennecke, H.F.; Morin, G.; Tai, I.T. The Interaction between SPARC and GRP78 Interferes with ER Stress Signaling and Potentiates Apoptosis via PERK/EIF2α and IRE1α/XBP-1 in Colorectal Cancer. Cell Death Dis. 2019, 10, 504. [Google Scholar] [CrossRef]
  164. Chetty, C.; Dontula, R.; Ganji, P.N.; Gujrati, M.; Lakka, S.S. SPARC Expression Induces Cell Cycle Arrest via STAT3 Signaling Pathway in Medulloblastoma Cells. Biochem. Biophys. Res. Commun. 2012, 417, 874–879. [Google Scholar] [CrossRef]
  165. Neuzillet, C.; Tijeras-Raballand, A.; Cros, J.; Faivre, S.; Hammel, P.; Raymond, E. Stromal Expression of SPARC in Pancreatic Adenocarcinoma. Cancer Metast. Rev. 2013, 32, 585–602. [Google Scholar] [CrossRef]
  166. Bi, X.; Pohl, N.M.; Qian, Z.; Yang, G.R.; Gou, Y.; Guzman, G.; Kajdacsy-Balla, A.; Iozzo, R. V.; Yang, W. Decorin-Mediated Inhibition of Colorectal Cancer Growth and Migration Is Associated with E-Cadherin in Vitro and in Mice. Carcinogenesis 2012, 33, 326–330. [Google Scholar] [CrossRef]
  167. Schönherr, E.; Levkau, B.; Schaefer, L.; Kresse, H.; Walsh, K. Decorin-Mediated Signal Transduction in Endothelial Cells. J. Biol. Chem. 2001, 276, 40687–40692. [Google Scholar] [CrossRef]
  168. Banerjee, A.G.; Bhattacharyya, I.; Lydiatt, W.M.; Vishwanatha, J.K. Aberrant Expression and Localization of Decorin in Human Oral Dysplasia and Squamous Cell Carcinoma. Cancer Re.s 2003, 63, 7769–7776. [Google Scholar]
  169. Reed, C.C.; Gauldie, J.; Iozzo, R. V Suppression of Tumorigenicity by Adenovirus-Mediated Gene Transfer of Decorin. Oncogene 2002, 21, 3688–3695. [Google Scholar] [CrossRef] [PubMed]
  170. Grant, D.S.; Yenisey, C.; Rose, R.W.; Tootell, M.; Santra, M.; Iozzo, R. V Decorin Suppresses Tumor Cell-Mediated Angiogenesis. Oncogene 2002, 21, 4765–4777. [Google Scholar] [CrossRef]
  171. Bi, X.; Tong, C.; Dockendorff, A.; Bancroft, L.; Gallagher, L.; Guzman, G.; Iozzo, R. V.; Augenlicht, L.H.; Yang, W. Genetic Deficiency of Decorin Causes Intestinal Tumor Formation through Disruption of Intestinal Cell Maturation. Carcinogenesis 2008, 29, 1435–1440. [Google Scholar] [CrossRef] [PubMed]
  172. Hu, Y.; Sun, H.; Owens, R.T.; Wu, J.; Chen, Y.Q.; Berquin, I.M.; Perry, D.; O’Flaherty, J.T.; Edwards, I.J. Decorin Suppresses Prostate Tumor Growth through Inhibition of Epidermal Growth Factor and Androgen Receptor Pathways. Neoplasia 2009, 11, 1042–1053. [Google Scholar] [CrossRef]
  173. Pan, X.; Wang, Z.-X.; Wang, R. MicroRNA-21: A Novel Therapeutic Target in Human Cancer. Cancer Biol. Ther. 2010, 10, 1224–1232. [Google Scholar] [CrossRef] [PubMed]
  174. Soria-Valles, C.; Gutiérrez-Fernández, A.; Guiu, M.; Mari, B.; Fueyo, A.; Gomis, R.R.; López-Otín, C. The Anti-Metastatic Activity of Collagenase-2 in Breast Cancer Cells Is Mediated by a Signaling Pathway Involving Decorin and MiR-21. Oncogene 2014, 33, 3054–3063. [Google Scholar] [CrossRef]
  175. Liang, S.; Xu, J.-F.; Cao, W.-J.; Li, H.-P.; Hu, C.-P. Human Decorin Regulates Proliferation and Migration of Human Lung Cancer A549 Cells. Chin. Med. J. (Engl.) 2013, 126, 4736–4741. [Google Scholar] [CrossRef]
  176. Horváth, Z.; Reszegi, A.; Szilák, L.; Dankó, T.; Kovalszky, I.; Baghy, K. Tumor-Specific Inhibitory Action of Decorin on Different Hepatoma Cell Lines. Cell Signal. 2019, 62, 109354. [Google Scholar] [CrossRef]
  177. Bathina, S.; Das, U.N. Brain-Derived Neurotrophic Factor and Its Clinical Implications. Arch. Med. Sci. 2015, 6, 1164–1178. [Google Scholar] [CrossRef]
  178. Gómez-Pinilla, F.; Ying, Z.; Roy, R.R.; Molteni, R.; Edgerton, V.R. Voluntary Exercise Induces a BDNF-Mediated Mechanism That Promotes Neuroplasticity. J. Neurophysiol. 2002, 88, 2187–2195. [Google Scholar] [CrossRef]
  179. Matthews, V.B.; Åström, M.-B.; Chan, M.H.S.; Bruce, C.R.; Krabbe, K.S.; Prelovsek, O.; Åkerström, T.; Yfanti, C.; Broholm, C.; Mortensen, O.H.; et al. Brain-Derived Neurotrophic Factor Is Produced by Skeletal Muscle Cells in Response to Contraction and Enhances Fat Oxidation via Activation of AMP-Activated Protein Kinase. Diabetologia 2009, 52, 1409–1418. [Google Scholar] [CrossRef]
  180. Garofalo, S.; D’Alessandro, G.; Chece, G.; Brau, F.; Maggi, L.; Rosa, A.; Porzia, A.; Mainiero, F.; Esposito, V.; Lauro, C.; et al. Enriched Environment Reduces Glioma Growth through Immune and Non-Immune Mechanisms in Mice. Nat. Commun. 2015, 6, 6623. [Google Scholar] [CrossRef]
  181. Xiao, R.; Bergin, S.M.; Huang, W.; Slater, A.M.; Liu, X.; Judd, R.T.; Lin, E.-J.D.; Widstrom, K.J.; Scoville, S.D.; Yu, J.; et al. Environmental and Genetic Activation of Hypothalamic BDNF Modulates T-Cell Immunity to Exert an Anticancer Phenotype. Cancer Immunol. Res. 2016, 4, 488–497. [Google Scholar] [CrossRef]
  182. Cao, L.; Liu, X.; Lin, E.-J.D.; Wang, C.; Choi, E.Y.; Riban, V.; Lin, B.; During, M.J. Environmental and Genetic Activation of a Brain-Adipocyte BDNF/Leptin Axis Causes Cancer Remission and Inhibition. Cell 2010, 142, 52–64. [Google Scholar] [CrossRef]
  183. Jones, S.A.; Jenkins, B.J. Recent Insights into Targeting the IL-6 Cytokine Family in Inflammatory Diseases and Cancer. Nat. Rev. Immunol. 2018, 18, 773–789. [Google Scholar] [CrossRef]
  184. Orange, S.T.; Leslie, J.; Ross, M.; Mann, D.A.; Wackerhage, H. The Exercise IL-6 Enigma in Cancer. Trends in Endocrinology & Metabolism 2023, 34, 749–763. [Google Scholar] [CrossRef]
  185. Kistner, T.M.; Pedersen, B.K.; Lieberman, D.E. Interleukin 6 as an Energy Allocator in Muscle Tissue. Nat. Metab. 2022, 4, 170–179. [Google Scholar] [CrossRef] [PubMed]
  186. Chung, T.D.; Yu, J.J.; Spiotto, M.T.; Bartkowski, M.; Simons, J.W. Characterization of the Role of IL-6 in the Progression of Prostate Cancer. Prostate 1999, 38, 199–207. [Google Scholar] [CrossRef]
  187. Orange, S.T.; Jordan, A.R.; Odell, A.; Kavanagh, O.; Hicks, K.M.; Eaglen, T.; Todryk, S.; Saxton, J.M. Acute Aerobic Exercise-conditioned Serum Reduces Colon Cancer Cell Proliferation in Vitro through Interleukin-6-induced Regulation of DNA Damage. Int. J. Cancer 2022, 151, 265–274. [Google Scholar] [CrossRef]
  188. Celik, A.; Bakar-Ates, F. The Confounding Effect of Interleukin-6 on Apoptosis of MCF-7 Cells through Downregulation of MMP-2/-9 MRNA Expression. Turk. J. Biochem. 2021, 46, 549–555. [Google Scholar] [CrossRef]
  189. Haugen, F.; Norheim, F.; Lian, H.; Wensaas, A.J.; Dueland, S.; Berg, O.; Funderud, A.; Skålhegg, B.S.; Raastad, T.; Drevon, C.A. IL-7 Is Expressed and Secreted by Human Skeletal Muscle Cells. Am. J. Physiol. Cell Physiol. 2010, 298, C807–C816. [Google Scholar] [CrossRef] [PubMed]
  190. Andersson, H.; Bøhn, S.K.; Raastad, T.; Paulsen, G.; Blomhoff, R.; Kadi, F. Differences in the Inflammatory Plasma Cytokine Response Following Two Elite Female Soccer Games Separated by a 72-h Recovery. Scand. J. Med. Sci. Sports 2010, 20, 740–747. [Google Scholar] [CrossRef] [PubMed]
  191. Lin, J.; Zhu, Z.; Xiao, H.; Wakefield, M.R.; Ding, V.A.; Bai, Q.; Fang, Y. The Role of IL-7 in Immunity and Cancer. Anticancer Res. 2017, 37, 963–968. [Google Scholar] [CrossRef] [PubMed]
  192. Wang, C.; Kong, L.; Kim, S.; Lee, S.; Oh, S.; Jo, S.; Jang, I.; Kim, T.-D. The Role of IL-7 and IL-7R in Cancer Pathophysiology and Immunotherapy. Int. J. Mol. Sci. 2022, 23, 10412. [Google Scholar] [CrossRef] [PubMed]
  193. Gustafson, M.P.; Wheatley-Guy, C.M.; Rosenthal, A.C.; Gastineau, D.A.; Katsanis, E.; Johnson, B.D.; Simpson, R.J. Exercise and the Immune System: Taking Steps to Improve Responses to Cancer Immunotherapy. J. Immunother. Cancer 2021, 9, e001872. [Google Scholar] [CrossRef] [PubMed]
  194. Fujii, S.; Shimizu, K.; Shimizu, T.; Lotze, M.T. Interleukin-10 Promotes the Maintenance of Antitumor CD8+ T-Cell Effector Function in Situ. Blood 2001, 98, 2143–2151. [Google Scholar] [CrossRef]
  195. Huang, S.; Ullrich, S.E.; Bar-Eli, M. Regulation of Tumor Growth and Metastasis by Interleukin-10: The Melanoma Experience. J. Interferon Cytokine Res. 1999, 19, 697–703. [Google Scholar] [CrossRef]
  196. Di Sabatino, A.; Calarota, S.A.; Vidali, F.; MacDonald, T.T.; Corazza, G.R. Role of IL-15 in Immune-Mediated and Infectious Diseases. Cytokine Growth Factor Rev. 2011, 22, 19–33. [Google Scholar] [CrossRef]
  197. Carson, W.E.; Giri, J.G.; Lindemann, M.J.; Linett, M.L.; Ahdieh, M.; Paxton, R.; Anderson, D.; Eisenmann, J.; Grabstein, K.; Caligiuri, M.A. Interleukin (IL) 15 Is a Novel Cytokine That Activates Human Natural Killer Cells via Components of the IL-2 Receptor. J. Exp. Med. 1994, 180, 1395–1403. [Google Scholar] [CrossRef]
  198. Klebanoff, C.A.; Finkelstein, S.E.; Surman, D.R.; Lichtman, M.K.; Gattinoni, L.; Theoret, M.R.; Grewal, N.; Spiess, P.J.; Antony, P.A.; Palmer, D.C.; et al. IL-15 Enhances the in Vivo Antitumor Activity of Tumor-Reactive CD8+ T Cells. Proceed. Natl. Acad. Sci. 2004, 101, 1969–1974. [Google Scholar] [CrossRef] [PubMed]
  199. Zhang, X.; Sun, S.; Hwang, I.; Tough, D.F.; Sprent, J. Potent and Selective Stimulation of Memory-Phenotype CD8+ T Cells In Vivo by IL-15. Immunity 1998, 8, 591–599. [Google Scholar] [CrossRef]
  200. Reyes, A.F.; Goldusky, J.; Bhimalli, P.; Marzo, A.L.; Schneider, J.R. Tracking Fluorescently Labeled IL-15 and Anti-PD-1 in the Tumor Microenvironment and Draining Lymph Nodes. J. Immunol. Methods 2022, 505, 113253. [Google Scholar] [CrossRef]
  201. Roy, M.; Fowler, A.M.; Ulaner, G.A.; Mahajan, A. Molecular Classification of Breast Cancer. PET Clin. 2023, 18, 441–458. [Google Scholar] [CrossRef]
  202. Stravokefalou, V.; Stellas, D.; Karaliota, S.; Nagy, B.A.; Valentin, A.; Bergamaschi, C.; Dimas, K.; Pavlakis, G.N. Heterodimeric IL-15 (HetIL-15) Reduces Circulating Tumor Cells and Metastasis Formation Improving Chemotherapy and Surgery in 4T1 Mouse Model of TNBC. Front. Immunol. 2023, 13. [Google Scholar] [CrossRef]
  203. Miljkovic, M.D.; Dubois, S.P.; Müller, J.R.; Bryant, B.; Ma, E.; Conlon, K.C.; Waldmann, T.A. Interleukin-15 Augments NK Cell–Mediated ADCC of Alemtuzumab in Patients with CD52+ T-Cell Malignancies. Blood Adv. 2023, 7, 384–394. [Google Scholar] [CrossRef]
  204. Luo, Z.; He, Z.; Qin, H.; Chen, Y.; Qi, B.; Lin, J.; Sun, Y.; Sun, J.; Su, X.; Long, Z.; et al. Exercise-Induced IL-15 Acted as a Positive Prognostic Implication and Tumor-Suppressed Role in Pan-Cancer. Front Pharmacol. 2022, 13. [Google Scholar] [CrossRef] [PubMed]
  205. Laron, Z. The Somatostatin-GHRH-GH-IGF-1 Axis. In Growth hormone, IGF_1 and growth: new views and old concepts. Modern endocrinology and diabetes.; Merimee, T., Laron, Z., Eds.; Freund Publishing House Ltd.: London, UK, 1996; pp. 5–10. [Google Scholar]
  206. Kineman, R.D.; del Rio-Moreno, M.; Sarmento-Cabral, A. 40 YEARS of IGF1: Understanding the Tissue-Specific Roles of IGF1/IGF1R in Regulating Metabolism Using the Cre/LoxP System. J. Mol. Endocrinol. 2018, 61, T187–T198. [Google Scholar] [CrossRef]
  207. Ahmad, S.S.; Ahmad, K.; Lee, E.J.; Lee, Y.-H.; Choi, I. Implications of Insulin-Like Growth Factor-1 in Skeletal Muscle and Various Diseases. Cells 2020, 9, 1773. [Google Scholar] [CrossRef] [PubMed]
  208. Mohan, S.; Baylink, D. IGF-Binding Proteins Are Multifunctional and Act via IGF-Dependent and -Independent Mechanisms. J. Endocrinol. 2002, 175, 19–31. [Google Scholar] [CrossRef]
  209. Wei, L.; Weng, X.; Huang, X.; Peng, Y.; Guo, H.; Xu, Y. IGFBP2 in Cancer: Pathological Role and Clinical Significance (Review). Oncol. Rep 2020, 45, 427–438. [Google Scholar] [CrossRef] [PubMed]
  210. Zhang, M.; Liu, J.; Li, M.; Zhang, S.; Lu, Y.; Liang, Y.; Zhao, K.; Li, Y. Insulin-like Growth Factor 1/Insulin-like Growth Factor 1 Receptor Signaling Protects against Cell Apoptosis through the PI3K/AKT Pathway in Glioblastoma Cells. Exp. Ther. Med. 2018. [Google Scholar] [CrossRef] [PubMed]
  211. Yu, H. Role of the Insulin-Like Growth Factor Family in Cancer Development and Progression. J. Natl. Cancer Inst. 2000, 92, 1472–1489. [Google Scholar] [CrossRef]
  212. Rajah, R.; Valentinis, B.; Cohen, P. Insulin-like Growth Factor (IGF)-Binding Protein-3 Induces Apoptosis and Mediates the Effects of Transforming Growth Factor-Β1 on Programmed Cell Death through a P53- and IGF-Independent Mechanism. J. Biol. Chem. 1997, 272, 12181–12188. [Google Scholar] [CrossRef] [PubMed]
  213. Cohen, P.; Peehl, D.M.; Lamson, G.; Rosenfeld, R.G. Insulin-Like Growth Factors (IGFs), IGF Receptors, and IGF-Binding Proteins in Primary Cultures of Prostate Epithelial Cells. J. Clin. Endocrinol. Metab. 1991, 73, 401–407. [Google Scholar] [CrossRef]
  214. Lin, Y.-W.; Weng, X.-F.; Huang, B.-L.; Guo, H.-P.; Xu, Y.-W.; Peng, Y.-H. IGFBP-1 in Cancer: Expression, Molecular Mechanisms, and Potential Clinical Implications. Am. J. Transl. Res. 2021, 13, 813–832. [Google Scholar]
  215. Kuhn, H.; Frille, A.; Petersen, M.A.; Oberhuber-Kurth, J.; Hofmann, L.; Gläser, A.; Taubenheim, S.; Klagges, S.; Kraemer, S.; Broschewitz, J.; et al. IGFBP3 Inhibits Tumor Growth and Invasion of Lung Cancer Cells and Is Associated with Improved Survival in Lung Cancer Patients. Transl. Oncol. 2023, 27, 101566. [Google Scholar] [CrossRef]
  216. Pollak, M.N.; Schernhammer, E.S.; Hankinson, S.E. Insulin-like Growth Factors and Neoplasia. Nat. Rev. Cancer 2004, 4, 505–518. [Google Scholar] [CrossRef]
  217. Le, H.T.; Lee, H.J.; Cho, J.; Min, H.-Y.; Lee, J.-S.; Lee, S.-J.; Lee, H.-Y. Insulin-Like Growth Factor Binding Protein-3 Exerts Its Anti-Metastatic Effect in Aerodigestive Tract Cancers by Disrupting the Protein Stability of Vimentin. Cancers (Basel) 2021, 13, 1041. [Google Scholar] [CrossRef]
  218. Dai, B.; Ruan, B.; Wu, J.; Wang, J.; Shang, R.; Sun, W.; Li, X.; Dou, K.; Wang, D.; Li, Y. Insulin-like Growth Factor Binding Protein-1 Inhibits Cancer Cell Invasion and Is Associated with Poor Prognosis in Hepatocellular Carcinoma. Int. J. Clin. Exp. Pathol. 2014, 7, 5645–5654. [Google Scholar]
  219. Figueroa, J.A.; Sharma, J.; Jackson, J.G.; McDermott, M.J.; Hilsenbeck, S.G.; Yee, D. Recombinant Insulin-like Growth Factor Binding Protein-1 Inhibits IGF-I, Serum, and Estrogen-dependent Growth of MCF-7 Human Breast Cancer Cells. J. Cell Physiol. 1993, 157, 229–236. [Google Scholar] [CrossRef]
  220. McGuire, W.L.; Jackson, J.G.; Figueroa, J.A.; Shimasaki, S.; Powell, D.R.; Yee, D. Regulation of Insulin-Like Growth Factor-Binding Protein (IGFBP) Expression by Breast Cancer Cells: Use of IGFBP-1 as as Inhibitor of Insulin-like Growth Factor Action. J. Natl. Cancer Inst. 1992, 84, 1336–1341. [Google Scholar] [CrossRef] [PubMed]
  221. Yee, D.; Jackson, J.G.; Kozelsky, T.W.; Figueroa, J.A. Insulin-like Growth Factor Binding Protein 1 Expression Inhibits Insulin-like Growth Factor I Action in MCF-7 Breast Cancer Cells. Cell Growth Differ. 1994, 5, 73–77. [Google Scholar] [PubMed]
  222. Ngo, T.H.; Barnard, R.J.; Leung, P.-S.; Cohen, P.; Aronson, W.J. Insulin-Like Growth Factor I (IGF-I) and IGF Binding Protein-1 Modulate Prostate Cancer Cell Growth and Apoptosis: Possible Mediators for the Effects of Diet and Exercise on Cancer Cell Survival. Endocrinol. 2003, 144, 2319–2324. [Google Scholar] [CrossRef]
  223. Major, J.M.; Laughlin, G.A.; Kritz-Silverstein, D.; Wingard, D.L.; Barrett-Connor, E. Insulin-Like Growth Factor-I and Cancer Mortality in Older Men. J. Clin. Endocrinol. Metab. 2010, 95, 1054–1059. [Google Scholar] [CrossRef] [PubMed]
  224. Rowlands, M.; Gunnell, D.; Harris, R.; Vatten, L.J.; Holly, J.M.P.; Martin, R.M. Circulating Insulin-like Growth Factor Peptides and Prostate Cancer Risk: A Systematic Review and Meta-analysis. Int. J. Cancer 2009, 124, 2416–2429. [Google Scholar] [CrossRef]
  225. Endogenous Hormones and Breast Cancer Collobaorative Group; Key, T.J.; Appleby, P.N.; Reeves, G.K.; Roddam, A.W. Insulin-like Growth Factor 1 (IGF1), IGF Binding Protein 3 (IGFBP3), and Breast Cancer Risk: Pooled Individual Data Analysis of 17 Prospective Studies. Lancet Oncol. 2010, 11, 530–542. [Google Scholar] [CrossRef] [PubMed]
  226. Chen, B.; Liu, S.; Xu, W.; Wang, X.; Zhao, W.; Wu, J. IGF-I and IGFBP-3 and the Risk of Lung Cancer: A Meta-Analysis Based on Nested Case-Control Studies. J. Exp. Clin. Cancer Res. 2009, 28, 89. [Google Scholar] [CrossRef] [PubMed]
  227. Kendrick, Z.W.; Firpo, M.A.; Repko, R.C.; Scaife, C.L.; Adler, D.G.; Boucher, K.M.; Mulvihill, S.J. Serum IGFBP2 and MSLN as Diagnostic and Prognostic Biomarkers for Pancreatic Cancer. HPB 2014, 16, 670–676. [Google Scholar] [CrossRef]
  228. Guo, C.; Lu, H.; Gao, W.; Wang, L.; Lu, K.; Wu, S.; Pataer, A.; Huang, M.; El-Zein, R.; Lin, T.; et al. Insulin-Like Growth Factor Binding Protein-2 Level Is Increased in Blood of Lung Cancer Patients and Associated with Poor Survival. PLoS One 2013, 8, e74973. [Google Scholar] [CrossRef]
  229. Zhang, A.M.Y.; Wellberg, E.A.; Kopp, J.L.; Johnson, J.D. Hyperinsulinemia in Obesity, Inflammation, and Cancer. Diabetes Metab. J 2021, 45, 285–311. [Google Scholar] [CrossRef]
  230. Tsujimoto, T.; Kajio, H.; Sugiyama, T. Association between Hyperinsulinemia and Increased Risk of Cancer Death in Nonobese and Obese People: A Population-based Observational Study. Int. J. Cancer 2017, 141, 102–111. [Google Scholar] [CrossRef] [PubMed]
  231. Gallagher, E.J.; LeRoith, D. Hyperinsulinaemia in Cancer. Nat. Rev. Cancer 2020, 20, 629–644. [Google Scholar] [CrossRef] [PubMed]
  232. Lin, Y.; Fan, R.; Hao, Z.; Li, J.; Yang, X.; Zhang, Y.; Xia, Y. The Association Between Physical Activity and Insulin Level Under Different Levels of Lipid Indices and Serum Uric Acid. Front. Physiol. 2022, 13. [Google Scholar] [CrossRef]
  233. Berg, U.; Bang, P. Exercise and Circulating Insulin-Like Growth Factor I. Horm. Res. Paediatr. 2004, 62, 50–58. [Google Scholar] [CrossRef]
  234. Nishida, Y.; Matsubara, T.; Tobina, T.; Shindo, M.; Tokuyama, K.; Tanaka, K.; Tanaka, H. Effect of Low-Intensity Aerobic Exercise on Insulin-Like Growth Factor-I and Insulin-Like Growth Factor-Binding Proteins in Healthy Men. Int. J. Endocrinol. 2010, 2010, 1–8. [Google Scholar] [CrossRef]
  235. Kim, T.; Chang, J.S.; Kim, H.; Lee, K.H.; Kong, I.D. Intense Walking Exercise Affects Serum IGF-1 and IGFBP3. J. Lifestyle Med. 2015, 5, 21–25. [Google Scholar] [CrossRef] [PubMed]
  236. Irwin, M.L.; Varma, K.; Alvarez-Reeves, M.; Cadmus, L.; Wiley, A.; Chung, G.G.; DiPietro, L.; Mayne, S.T.; Yu, H. Randomized Controlled Trial of Aerobic Exercise on Insulin and Insulin-like Growth Factors in Breast Cancer Survivors: The Yale Exercise and Survivorship Study. Cancer Epidemiol. Biomark. Prevent. 2009, 18, 306–313. [Google Scholar] [CrossRef] [PubMed]
  237. Arnarson, A.; Geirsdottir, O.G.; Ramel, A.; Jonsson, P.V.; Thorsdottir, I. Insulin-like Growth Factor-1 and Resistance Exercise in Community Dwelling Old Adults. J. Nutr. Health Aging 2015, 19, 856–860. [Google Scholar] [CrossRef]
  238. Barnard, R.J.; Ngo, T.H.; Leung, P.; Aronson, W.J.; Golding, L.A. A Low-fat Diet and/or Strenuous Exercise Alters the IGF Axis in Vivo and Reduces Prostate Tumor Cell Growth in Vitro. Prostate 2003, 56, 201–206. [Google Scholar] [CrossRef]
  239. Eliakim, A.; Brasel, J.A.; Mohan, S.; Wong, W.L.T.; Cooper, D.M. Increased Physical Activity and the Growth Hormone-IGF-I Axis in Adolescent Males. Am. J. Physiol. Regulat. Integrat. Compar. Physiol. 1998, 275, R308–R314. [Google Scholar] [CrossRef] [PubMed]
  240. Smith, A.T.; Clemmons, D.R.; Underwood, L.E.; Ben-Ezra, V.; McMurray, R. The Effect of Exercise on Plasma Somatomedin-C/Insulinlike Growth Factor I Concentrations. Metabolism 1987, 36, 533–537. [Google Scholar] [CrossRef] [PubMed]
  241. Jenkins, P.J. Growth Hormone and Exercise. Clin. Endocrinol. (Oxf.) 1999, 50, 683–689. [Google Scholar] [CrossRef] [PubMed]
  242. Kraemer, R.R.; Durand, R.J.; Acevedo, E.O.; Johnson, L.G.; Kraemer, G.R.; Hebert, E.P.; Castracane, V.D. Rigorous Running Increases Growth Hormone and Insulin-Like Growth Factor-I Without Altering Ghrelin. Exp. Biol. Med. 2004, 229, 240–246. [Google Scholar] [CrossRef] [PubMed]
  243. Vale, R.G. de S.; de Oliveira, R.D.; Pernambuco, C.S.; de Meneses, Y.P. da S.F.; Novaes, J. da S.; de Andrade, A. de F.D. Effects of Muscle Strength and Aerobic Training on Basal Serum Levels of IGF-1 and Cortisol in Elderly Women. Arch. Gerontol. Geriatr. 2009, 49, 343–347. [CrossRef]
  244. Borst, S.E.; De Hoyos, D. V; Garzarella, L.; Vincent, K.; Pollock, B.H.; Lowenthal, D.T.; Pollock, M.L. Effects of Resistance Training on Insulin-like Growth Factor-I and IGF Binding Proteins. Med. Sci. Sports Exerc. 2001, 33, 648–653. [Google Scholar] [CrossRef] [PubMed]
  245. Ballard, T.L.; Clapper, J.A.; Specker, B.L.; Binkley, T.L.; Vukovich, M.D. Effect of Protein Supplementation during a 6-Mo Strength and Conditioning Program on Insulin-like Growth Factor I and Markers of Bone Turnover in Young Adults1–3. Am. J. Clin. Nutr. 2005, 81, 1442–1448. [Google Scholar] [CrossRef] [PubMed]
  246. Devin, J.L.; Hill, M.M.; Mourtzakis, M.; Quadrilatero, J.; Jenkins, D.G.; Skinner, T.L. Acute High Intensity Interval Exercise Reduces Colon Cancer Cell Growth. J. Physiol. 2019, 597, 2177–2184. [Google Scholar] [CrossRef]
  247. Rundqvist, H.; Augsten, M.; Strömberg, A.; Rullman, E.; Mijwel, S.; Kharaziha, P.; Panaretakis, T.; Gustafsson, T.; Östman, A. Effect of Acute Exercise on Prostate Cancer Cell Growth. PLoS One 2013, 8, e67579. [Google Scholar] [CrossRef] [PubMed]
  248. Dethlefsen, C.; Lillelund, C.; Midtgaard, J.; Andersen, C.; Pedersen, B.K.; Christensen, J.F.; Hojman, P. Exercise Regulates Breast Cancer Cell Viability: Systemic Training Adaptations versus Acute Exercise Responses. Breast Cancer Res. Treat. 2016, 159, 469–479. [Google Scholar] [CrossRef]
  249. Dethlefsen, C.; Hansen, L.S.; Lillelund, C.; Andersen, C.; Gehl, J.; Christensen, J.F.; Pedersen, B.K.; Hojman, P. Exercise-Induced Catecholamines Activate the Hippo Tumor Suppressor Pathway to Reduce Risks of Breast Cancer Development. Cancer Res. 2017, 77, 4894–4904. [Google Scholar] [CrossRef]
  250. Korbecki, J.; Maruszewska, A.; Bosiacki, M.; Chlubek, D.; Baranowska-Bosiacka, I. The Potential Importance of CXCL1 in the Physiological State and in Noncancer Diseases of the Cardiovascular System, Respiratory System and Skin. Int. J. Mol. Sci. 2022, 24, 205. [Google Scholar] [CrossRef] [PubMed]
  251. Schiaffino, S.; Reggiani, C. Fiber Types in Mammalian Skeletal Muscles. Physiol. Rev. 2011, 91, 1447–1531. [Google Scholar] [CrossRef] [PubMed]
  252. Rutti, S.; Dusaulcy, R.; Hansen, J.S.; Howald, C.; Dermitzakis, E.T.; Pedersen, B.K.; Pinget, M.; Plomgaard, P.; Bouzakri, K. Angiogenin and Osteoprotegerin Are Type II Muscle Specific Myokines Protecting Pancreatic Beta-Cells against Proinflammatory Cytokines. Sci. Rep. 2018, 8, 10072. [Google Scholar] [CrossRef] [PubMed]
  253. Liang, A.P.; Drazick, A.T.; Gao, H.; Li, Y. Skeletal Muscle Secretion of IL-6 Is Muscle Type Specific: Ex Vivo Evidence. Biochem. Biophys. Res. Commun. 2018, 505, 146–150. [Google Scholar] [CrossRef]
  254. Mita, Y.; Zhu, H.; Furuichi, Y.; Hamaguchi, H.; Manabe, Y.; Fujii, N.L. R-Spondin3 Is a Myokine That Differentiates Myoblasts to Type I Fibres. Sci. Rep. 2022, 12, 13020. [Google Scholar] [CrossRef] [PubMed]
  255. Kuhnen, G.; Guedes Russomanno, T.; Murgia, M.; Pillon, N.J.; Schönfelder, M.; Wackerhage, H. Genes Whose Gain or Loss of Function Changes Type 1, 2A, 2X, or 2B Muscle Fibre Proportions in Mice—A Systematic Review. Int. J. Mol. Sci. 2022, 23, 12933. [Google Scholar] [CrossRef] [PubMed]
  256. Lin, J.; Wu, H.; Tarr, P.T.; Zhang, C.-Y.; Wu, Z.; Boss, O.; Michael, L.F.; Puigserver, P.; Isotani, E.; Olson, E.N.; et al. Transcriptional Co-Activator PGC-1α Drives the Formation of Slow-Twitch Muscle Fibres. Nature 2002, 418, 797–801. [Google Scholar] [CrossRef] [PubMed]
  257. Wenz, T.; Rossi, S.G.; Rotundo, R.L.; Spiegelman, B.M.; Moraes, C.T. Increased Muscle PGC-1α Expression Protects from Sarcopenia and Metabolic Disease during Aging. Proceed. Natl. Acad. Sci. 2009, 106, 20405–20410. [Google Scholar] [CrossRef]
  258. Lim, S.; Dunlap, K.R.; Rosa-Caldwell, M.E.; Haynie, W.S.; Jansen, L.T.; Washington, T.A.; Greene, N.P. Comparative Plasma Proteomics in Muscle Atrophy during Cancer-cachexia and Disuse: The Search for Atrokines. Physiol. Rep. 2020, 8. [Google Scholar] [CrossRef]
  259. Kamei, Y.; Miura, S.; Suzuki, M.; Kai, Y.; Mizukami, J.; Taniguchi, T.; Mochida, K.; Hata, T.; Matsuda, J.; Aburatani, H.; et al. Skeletal Muscle FOXO1 (FKHR) Transgenic Mice Have Less Skeletal Muscle Mass, Down-Regulated Type I (Slow Twitch/Red Muscle) Fiber Genes, and Impaired Glycemic Control. J. Biolog. Chem. 2004, 279, 41114–41123. [Google Scholar] [CrossRef]
  260. Walters, Z.S.; Villarejo-Balcells, B.; Olmos, D.; Buist, T.W.S.; Missiaglia, E.; Allen, R.; Al-Lazikani, B.; Garrett, M.D.; Blagg, J.; Shipley, J. JARID2 Is a Direct Target of the PAX3-FOXO1 Fusion Protein and Inhibits Myogenic Differentiation of Rhabdomyosarcoma Cells. Oncogene 2014, 33, 1148–1157. [Google Scholar] [CrossRef] [PubMed]
  261. Kitamura, T.; Kitamura, Y.I.; Funahashi, Y.; Shawber, C.J.; Castrillon, D.H.; Kollipara, R.; DePinho, R.A.; Kitajewski, J.; Accili, D. A Foxo/Notch Pathway Controls Myogenic Differentiation and Fiber Type Specification. J. Clin. Investig. 2007, 117, 2477–2485. [Google Scholar] [CrossRef] [PubMed]
  262. Sasako, T.; Umehara, T.; Soeda, K.; Kaneko, K.; Suzuki, M.; Kobayashi, N.; Okazaki, Y.; Tamura-Nakano, M.; Chiba, T.; Accili, D.; et al. Deletion of Skeletal Muscle Akt1/2 Causes Osteosarcopenia and Reduces Lifespan in Mice. Nat. Commun. 2022, 13, 5655. [Google Scholar] [CrossRef] [PubMed]
  263. Al-Shaikh, G.; Al-Mandeel, H. Ultrasound Estimated Bladder Weight in Asymptomatic Adult Females. Urol. J. 2012, 9, 586–591. [Google Scholar] [PubMed]
  264. Chalana, V.; Dudycha, S.; Yuk, J.-T.; McMorrow, G. Automatic Measurement of Ultrasound-Estimated Bladder Weight (UEBW) from Three-Dimensional Ultrasound. Rev. Urol. 2005, 7 (Suppl. S6), S22–S28. [Google Scholar]
  265. Avtandilashvili, M.; Tolmachev, S.Y. Modeling the Skeleton Weight of an Adult Caucasian Man. Health Phys. 2019, 117, 149–155. [Google Scholar] [CrossRef]
  266. Hartmann, P.; Ramseier, A.; Gudat, F.; Mihatsch, M.J.; Polasek, W.; Geisenhoff, C. Das Normgewicht Des Gehirns Beim Erwachsenen in Abhängigkeit von Alter, Geschlecht, Körpergröße Und Gewicht. Pathologe 1994, 15, 165–170. [Google Scholar] [CrossRef] [PubMed]
  267. Molina, D.K.; DiMaio, V.J.M. Normal Organ Weights in Men: Part II-the Brain, Lungs, Liver, Spleen, and Kidneys. Am. J. Forens. Med. Pathol. 2012, 33, 368–372. [Google Scholar] [CrossRef] [PubMed]
  268. Molina, D.K.; DiMaio, V.J.M. Normal Organ Weights in Women: Part II-The Brain, Lungs, Liver, Spleen, and Kidneys. Am. J. Forens. Med. Pathol. 2015, 36, 182–187. [Google Scholar] [CrossRef]
  269. Katch, V.L.; Campaigne, B.; Freedson, P.; Sady, S.; Katch, F.I.; Behnke, A.R. Contribution of Breast Volume and Weight to Body Fat Distribution in Females. Am. J. Phys. Anthropol. 1980, 53, 93–100. [Google Scholar] [CrossRef]
  270. Drake, R.L.; Vogl, W.; Mitchell, A.W.M. Gray’s Anatomy for Students; Churchill Livingstone: Philadelphia, 2010. [Google Scholar]
  271. Veghari, G.; Sedaghat, M.; Maghsodlo, S.; Banihashem, S.; Moharloei, P.; Angizeh, A.; Tazik, E.; Moghaddami, A.; Joshaghani, H. The Association between Abdominal Obesity and Serum Cholesterol Level. Int. J. Appl. Basic Med. Res. 2015, 5, 83. [Google Scholar] [CrossRef] [PubMed]
  272. Kubica, K.; Balbus, J. A Computer Study of the Risk of Cholesterol Gallstone Associated with Obesity and Normal Weight. Sci. Rep. 2021, 11, 8868. [Google Scholar] [CrossRef] [PubMed]
  273. Molina, D.K.; DiMaio, V.J.M. Normal Organ Weights in Men: Part I-the Heart. Am. J. Forens. Med. Pathol. 2012, 33, 362–367. [Google Scholar] [CrossRef] [PubMed]
  274. Molina, D.K.; DiMaio, V.J.M. Normal Organ Weights in Women: Part I-The Heart. Am. J. Forens. Med. Pathol. 2015, 36, 176–181. [Google Scholar] [CrossRef] [PubMed]
  275. Sender, R.; Weiss, Y.; Navon, Y.; Milo, I.; Azulay, N.; Keren, L.; Fuchs, S.; Ben-Zvi, D.; Noor, E.; Milo, R. The Total Mass, Number, and Distribution of Immune Cells in the Human Body. Proceed. Natl Acad. Sci. 2023, 120. [Google Scholar] [CrossRef] [PubMed]
  276. Rosendahl, M.; Ernst, E.; Rasmussen, P.E.; Andersen, C.Y. True Ovarian Volume Is Underestimated by Two-Dimensional Transvaginal Ultrasound Measurement. Fertil. Steril. 2010, 93, 995–998. [Google Scholar] [CrossRef]
  277. Innes, J.T.; Carey, L.C. Normal Pancreatic Dimensions in the Adult Human. Am. J. Surg. 1994, 167, 261–263. [Google Scholar] [CrossRef] [PubMed]
  278. Leissner, K.-H.; Tisell, L.-E. The Weight of the Human Prostate. Scand. J. Urol. Nephrol. 1979, 13, 137–142. [Google Scholar] [CrossRef]
  279. Leider, M. On the Weight of the Skin. J. Invest. Dermatol. 1949, 12, 187–191. [Google Scholar] [CrossRef]
  280. Baraki, Y.M.; Traverso, P.; Elariny, H.A.; Fang, Y. Preoperative Prediction of Stomach Weight to Be Removed in Laparoscopic Sleeve Gastrectomy Procedure. Surg. Technol. Int. 2010, 20, 167–171. [Google Scholar]
  281. Jit, I. Sanjeev Weight of the Testes in Northwest Indian Adults. Am. J. Human Bio. 1991, 3, 671–676. [Google Scholar] [CrossRef] [PubMed]
  282. Pankow, B.G.; Michalak, J.; McGee, M.K. Adult Human Thyroid Weight. Health Phys. 1985, 49, 1097–1104. [Google Scholar] [CrossRef] [PubMed]
  283. Hendrix, N.W.; Chauhan, S.P.; Carroll, C.S.; Magann, E.F.; Morrison, J.C. Clinical and Sonographic Estimations of Uterine Weight. J. Miss. State Med. Assoc. 2003, 44, 67–73. [Google Scholar]
  284. Franchi, A. Epidemiology and Classification of Bone Tumors. Clin. Cases Miner. Bone Metab. 2012, 9, 92–95. [Google Scholar] [PubMed]
  285. Reis, J.; Capela e Silva, F.; Queiroga, M.C.; Lucena, S.; Potes, J. Bone Mechanotransduction: A Review. J. Biomed. Bioengineer. 2011, 2, 37–44. [Google Scholar]
  286. Sultan, I.; Qaddoumi, I.; Yaser, S.; Rodriguez-Galindo, C.; Ferrari, A. Comparing Adult and Pediatric Rhabdomyosarcoma in the Surveillance, Epidemiology and End Results Program, 1973 to 2005: An Analysis of 2,600 Patients. J. Clin. Oncol. 2009, 27, 3391–3397. [Google Scholar] [CrossRef] [PubMed]
  287. Amer, K.M.; Thomson, J.E.; Congiusta, D.; Dobitsch, A.; Chaudhry, A.; Li, M.; Chaudhry, A.; Bozzo, A.; Siracuse, B.; Aytekin, M.N.; et al. Epidemiology, Incidence, and Survival of Rhabdomyosarcoma Subtypes: SEER and ICES Database Analysis. J. Orthop. Res. 2019, 37, 2226–2230. [Google Scholar] [CrossRef]
  288. Fryar, C.D.; Kruszon-Moran, D.; Gu, Q.; Ogden, C.L. Mean Body Weight, Height, Waist Circumference, and Body Mass Index Among Adults: United States, 1999–2000 Through 2015–2016. Natl. Health Stat. Rep. 2018, 122, 1–15. [Google Scholar]
Table 1. Comparison of incidence rates of cancer by organ and organ mass.
Table 1. Comparison of incidence rates of cancer by organ and organ mass.
Cancer type Incidence rate per 100,000 individuals a Incidence rate relative to breast cancer b Mean organ mass (g) [reference] Incidence rate per tissue mass (per 100,000 per g tissue) c Incidence rate per tissue mass relative to breast cancer b Number of times more common than SKM cancer relative to tissue mass d
Bladder 5.6 e 0.120 37 [263,264] f 0.151 1.56 30,545
Bone 0.9 g 0.019 3465 [265] h 2.6 × 10−4 2.7 × 10−3 53
Brain 3.5 0.075 1294 [266,267,268] i 2.7 × 10−3 0.028 548
Breast 46.8 1 484 [269] j 0.097 1 19,581
Colorectal 17.8 k 0.380 1818 [270] 9.8 × 10−3 0.101 1982
Gallbladder 1.2 0.026 16.4 [271,272] 0.073 0.757 14,817
Heart 0.034 l 7.3 × 10−4 288 [273,274] f 1.2 × 10−4 1.2 × 10−3 24
Kidney 4.4 0.094 287 [267,268] f 0.015 0.159 3110
Leukocyte 13.7 m 0.292 1200 [275] n 0.011 0.118 2303
Liver 8.6 0.184 1425 [267,268] f 6.0 × 10−3 0.062 1223
Lung 23.6 0.504 370 [267,268] f 0.064 0.660 12,925
Ovary 6.7 0.143 6.3 [276] o 1.06 11.0 215,357
Pancreas 4.7 0.100 91.8 [277] 0.051 0.529 10,368
Prostate 29.4 0.628 11 [278] 2.67 27.6 541,227
SKM 0.096 p 0.002 19,440 q 4.9 × 10−6 5.1 × 10−5 1
Skin 13.6 r 0.291 3250 [279] 4.2 × 10−3 0.043 847
Stomach 9.2 0.197 142 [280] f 0.065 0.671 13,129
Testes 1.7 0.036 36.62 [281] s 0.04642272 0.480098214 9401
Thyroid 9.1 0.194 16 [282] t 0.553 5.72 112,021
Uterus 22.5 u 0.481 515 [283] 0.044 0.452 8849
Abbreviations: SKM, skeletal muscle. a Incidence rates obtained from Global Cancer Observatory data [85], except for bone, heart, and SKM. b As breast cancer is the most frequent cancer type, it is used as a reference. c Calculated by dividing the incidence rate by the organ mass. d Calculated by dividing the incidence rate per tissue mass by that of SKM. e Refers to the urinary bladder. f Mean organ mass was obtained by averaging the values for men and women. g Incidence rate for bone cancer obtained from [284]. h Reported bone mass was multiplied by 0.33, the organic mass fraction [285] . i Mean organ mass was obtained by averaging the values for men and women from two reports each. j Indicates mean values for women only, although a high variation is present. k Incidence rate was derived by adding the rates of colon and rectal cancers, which were reported separately. l Incidence rate for heart cancer was obtained from [74]. m Incidence rate was derived by adding the rates of Hodkin lymphoma, non-Hodkin lymphoma, multiple myeloma, and leukemia, which were reported separately. n Includes the total mass of all immune cells. o Derived by multiplying the reported mean ovarian volume (6.3 mL) by ovarian tissue density (1.00 g/mL). p The incidence rate for soft tissue cancers is 3.2/100,000 [17]. Rhabdomyosarcoma accounts for 3% of soft tissue cancers [18]. The SKM cancer incidence rate was calculated by multiplying these numbers. The actual value is likely much lower, as the rhabdomyosarcoma fraction includes children, and rhabdomyosarcoma is far less prevalent in adults [286,287]. q Derived by multiplying 0.44 (the approximate lower end of SKM mass as a fraction of total body mass [1]) by mean body mass (women and men averaged) from 2015−2016 data (women, 77.4 kg; men, 89.8 kg) [288]. r Incidence rate for skin cancer was derived by adding the rates of melanoma and non-melanoma, which were reported separately. s Data obtained in a population of men aged 41–50 years from northwest India. t Mean organ mass was obtained by averaging the values for women aged 20–69 years and men aged 30–69 years. u Incidence rate for uterine cancers was derived by adding the rates of cervix uteri and corpus uteri, which were reported separately.
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