1. Introduction
Obesity has become a prominent health concern worldwide as a risk factor for several chronic diseases, including diabetes mellitus, cardiovascular disease, and chronic kidney disease [
1,
2]. Besides, obesity is one of the most common and well-documented risk factors for non-alcoholic fatty liver disease (NAFLD) [
3]. NAFLD is associated with a relatively low hepatocellular carcinoma (HCC) risk (annual incidence: 0.44 per 1,000 person-years) [
4]. However, the incidence of HCC increases up to 5.29 per 1,000 person-years after the transition to non-alcoholic fatty liver disease (NASH) [
4]. Vaccination and directly acting anti-viral agents have reduced the risk of virus-induced HCC [
5,
6]. However, there are few preventive strategies to stop NASH progression. Weight loss suppresses NASH-related HCC development, but it is difficult to achieve and sustain weight loss [
7]. Therefore, another preventative or therapeutic strategy for NASH-related HCC is needed. NASH results from the pathological evolution of NAFLD, following hepatic steatosis. Inflammation in NASH is mainly induced by several cytokines, such as interleukin (IL)-6 and tumor necrosis factor-α (TNF-α), produced by adipocytes and hepatic stellate cells, and gut-derived lipopolysaccharide (LPS) [
8,
9,
10]. Although previous studies have revealed the effects of free fatty acids and cytokines on hepatocytes during NASH development [
11,
12,
13,
14,
15], their pathological roles remain unclear in the progression of HCC from NASH.
Farnesyltransferase inhibitors (FTIs) suppress the proliferation of cancer cells such as hematological or head and neck cancers [
16,
17,
18,
19]. Protein farnesylation is closely associated with inflammatory response and insulin signaling pathways in normal cells [
20]. Hepatic steatosis is strongly associated with insulin resistance in the liver and many antidiabetic drugs have been suggested to have a role in treating NAFLD and/or slowing down its progression to NASH and NASH-related HCC as well as improving hyperglycemia in animal studies [
21,
22,
23,
24]. Thus, we hypothesized that protein farnesylation may be an important therapeutic target in NASH-related HCC, which is based on the chronic inflammation and insulin resistance of hepatocytes.
We and other researchers have shown that hypoxia-inducible factor (HIF)-1α promotes cancer aggressiveness through cancer cell proliferation, invasion, and metastasis [
25,
26,
27,
28]. HIF-1α is also a major mediator of inflammation that promotes cancer aggressiveness [
29,
30]. Previously, we demonstrated that 300 nM tipifarnib, which is an FTI, reduces HIF-1α expression in triple-negative breast cancer cells and suppresses migration, cancer stemness, and epithelial-to-mesenchymal transition regardless of RAS expression [
31]. Additionally, we have shown that tipifarnib suppresses HIF-1α expression in gastric cancer cells and inhibits their proliferation and migration in vitro and in vivo [
27]. Chronic inflammation of hepatocytes results in HCC development from NASH [
32,
33], but the mechanism remains unknown in relation to HIF-1α and FTIs.
In this study, we initially determined whether tipifarnib affected cell proliferation, metabolic changes, inflammation, and HIF-1α expression in human HCC cell lines cultured under several conditions of cytokines and free fatty acids mimicking the NASH environment. Then, we demonstrated multiple effects of tipifarnib on cancer progression and inflammatory response in a NASH-driven HCC mouse model induced by a high-fat diet and chemical carcinogen.
3. Discussion
We found that tipifarnib had both anti-tumor and anti-inflammatory effects in HCC cell lines in vitro and in the NASH-related HCC model in vivo. The protein level of HIF-1α was increased in HCC cells cultured under NASH-like conditions, and tipifarnib strongly reversed the expression of HIF-1α. The anti-tumor effects of tipifarnib were closely associated with HIF-1α expression. These findings suggest that HIF-1α plays a major role in cancer aggressiveness of NASH-related HCC.
Hepatic steatosis and inflammation are essential for carcinogenesis in NASH patients and the aggressive phenotype of NASH-related HCC [
36,
37,
38]. Therefore, we established inflammation-induced and fatty acid-loaded in vitro conditions mimicking NASH. In HCC cell lines under NASH-like conditions, tipifarnib suppressed protein expression of NF-κB and TGF-β, which are associated with inflammation and fibrosis [
39,
40,
41]. We also found that tipifarnib reduced the IL-6 level elevated by NASH-like conditions in vitro and in vivo. NF-κB regulates IL-6, a major inflammation-associated cytokine that evokes chronic inflammation in the liver [
8]. Development of HCC associated with chronic inflammation requires NF-κB signaling in hepatocytes as an anti-apoptotic survival factor [
42,
43].
44,45 IL-6 mediates signal transducer and activator of transcription 3 (STAT3) activation, which promotes carcinogenesis in the liver. STAT3 is a major driver in the repair and replication of hepatocyte and enhances p300-mediated RelA acetylation, leading to nuclear retention of NF-κB. Thus, persistently activated STAT3 maintains constitutive NF-κB activity in hepatic tumor cells [
44]. IL-6 and NF-κB maintain inflammatory responses in the liver, which are followed by development and progression of HCC [
34,
41,
45,
46]. We consider that the mechanism of inhibited cancer aggressiveness by tipifarnib under NASH-like conditions may involve inhibition of the vicious cycle of inflammation-promoting cancer and cancer-promoting inflammation.
NASH progression begins by simple steatosis in hepatocytes. Subsequently, interactions between hepatocytes and immune cells such as macrophages and fibroblasts are crucial for the development of hepatitis, fibrosis, and HCC [
47,
48,
49]. Therefore, development of preventative therapies for NASH-related HCC requires in vitro cellular experiments and in vivo experiments using a NASH-related HCC animal model. Genetic and diet-related animal models are widely used to experimentally simulate the conditions of NASH-related HCC [
50,
51,
52,
53]. High fat diet-fed mice and genetic mouse models exhibit metabolic syndrome and severe steatosis, but not liver inflammation, fibrosis, or HCC in short-term experiments [
54]. A methionine- and choline-deficient (MCD) diet and a CDAHFD both promote liver inflammation and fibrosis. However, the MCD diet model is difficult to apply in long-term experiments leading to carcinogenesis because of severe body weight loss [
55]. The mouse model fed the CDAHFD does not related to the problem of weight loss, but this model requires at least 42 weeks to develop regenerative hyperplasia in the liver. Furthermore, the HCC incident rate in microscopic findings is only 27% at 66 weeks [
56]. DEN, a highly reactive chemical carcinogen, is widely used to induce HCC in rodents [
57]. The combination of CDAHFD feed and DEN injection strongly accelerates carcinogenesis and makes it possible to investigate therapeutic agents for NASH-driven HCC in a state more similar to the mild progression from hepatic steatosis, NAFLD, and NASH to HCC in a relatively short period [
58]. In this study, tipifarnib was administered for 21 weeks, and we observed anti-tumor and anti-inflammatory effects. During the experimental period, significant body weight loss was not observed in the mouse groups treated with or without tipifarnib and no mice died. These results have encouraged us to further investigate clinical application of FTIs in humans with NASH and NASH-related HCC.
To determine whether the anti-tumor effects of tipifarnib were associated with HIF-1α, we focused on energy metabolism, particularly ROS production in cancer cells. ROS has dual contradictory activities in cancer development in accordance with its level: stimulation of tumorigenesis and cancer cell proliferation or induction of cell death [
59]. HIF-1α controls ROS production under hypoxic conditions through multiple mechanisms including conversion of energy metabolism from oxidative phosphorylation to glycolysis, which is referred to as the Warburg effect [
60,
61,
62,
63]. We found that a low dose of tipifarnib suppresses the Warburg effect via HIF-1α in breast and gastric cancer cells under normoxia [
27,
31]. In the present study, we found that tipifarnib decreased lactate production and glucose consumption, and simultaneously increased ROS production in response to suppressed HIF-1α expression under normoxia. Because tipifarnib induced apoptotic proteins such as cleaved PARP, the excessive ROS production might be involved in the anti-tumor effect of tipifarnib.
Of note, tipifarnib exerted multiple effects in the NASH-related HCC models in vitro and in vivo. An anti-tumor effect was mediated via suppression of HIF-1α, while the others were anti-inflammatory and anti-fibrotic effects such as downregulation of NF-κB, IL-6, and TGF-β. Regarding the anti-tumor effects of tipifarnib, we have reported that tipifarnib also exerts anti-tumor effects through suppression of Rheb farnesylation, leading to inhibition of the mTOR pathway other than via suppression of HIF-1α in gastric cancer cells [
27]. In this respect, tipifarnib is speculated to have several mechanisms of anti-tumor effects and is superior to previous HIF-1α inhibitors such as YC-1 and andrographolide [
64,
65]. Anti-inflammatory effects elicited by tipifarnib have been reported in acute liver failure and burn models in vitro and in vivo [
20,
66]. These previous reports strongly support our experimental results. Tipifarnib may have the specialized characteristic of simultaneously exerting anti-tumor and anti-inflammatory effects, which is rare for therapeutic agents of cancers. From the viewpoint of these multiple effects of tipifarnib, it may be the most suitable medicine regardless of the timing of administration for NASH-related HCC in which inflammation is deeply involved in its occurrence and development.
In conclusion, tipifarnib is capable of downregulating HIF-1α expression in HCC cells cultured under NASH-like conditions. The tipifarnib-induced decrease in HIF-1α expression is associated with increased ROS production resulting in apoptotic cell death. Tipifarnib-induced decreases in NF-κB and TGF-β expression and the IL-6 level inhibit inflammation–cancer feedback. Thus, tipifarnib is a promising preventative and therapeutic agent for NASH-related HCC.
4. Materials and Methods
4.1. Cell culture
Human HCC cell lines HepG2 and Huh-7 were obtained from the Japanese Cancer Research Resources Bank (Osaka, Japan). Human HCC cell line Hep3B was obtained from the American Type Culture Collection (Manassas, VA, USA). All experiments were performed under normoxia (21% O2). The cells were cultured and maintained in 4.5 g/l glucose DMEM (Nacalai Tesque, Inc., Kyoto, Japan) supplemented with 10% heat-inactivated fetal bovine serum (FBS; Biowest, Nuaillé, France) and 100 mg/ml kanamycin (Meiji, Tokyo, Japan) at 37°C and 5% CO2 in a humidified atmosphere.
4.2. Preparation of a palmitic acid (PA)/bovine serum albumin (BSA) complex solution
A palmitic acid stock solution was prepared using a previously described method [
67]. Briefly, a 100 mM solution of PA (P0500; Sigma-Aldrich, St. Louis, MO, USA) in 0.1 M NaOH solution (194-02191; FUJIFILM Wako Pure Chemical Corporation) was heated at 70°C in a shaking water bath. In an adjacent water bath, at 55 °C, a 10% (w/v) PA-free BSA solution (CultureSure, 034-25462; FUJIFILM Wako Pure Chemical Corporation) was prepared in ddH
2O. A 5 mM PA/10% (w/v) BSA stock solution was prepared by adding 250 μl of the 100 mM palmitate solution dropwise to 4.75 ml of the 10% (w/v) BSA solution at 55 °C, followed by vortex mixing for 10 s and 10 min incubation at 55 °C. PA/BSA complex solution was cooled to room temperature and sterile filtered (0.45-μm pore size membrane filter). At the same time, PA-free BSA stock solution was prepared as a control. The complex solution was stored at −20 °C, where it is stable for 3–4 weeks. The stored 5 mM PA/10% BSA stock solutions were heated for 15 min at 55 °C and then cooled to room temperature before use.
4.3. Establishment of an in vitro NASH-related HCC model
In vitro culture models of NASH-related HCC were established using a cytokine cocktail and PA. To induce an inflammatory response under hepatitis-like conditions, HepG2, Hep3B, and Huh-7 cells were treated with a cytokine cocktail of TNF-α, interferon-γ (IFN-γ), and LPS (T6674, SRP3058, and L4391, respectively; Sigma-Aldrich). The conditions of the cytokine cocktail were divided into three groups by the final concentrations as follows: (1) high concentrations (0.25 ng/ml TNF-α + 2.5 ng/ml IFN-γ + 0.5 mg/ml LPS); (2) moderate concentrations (0.1 ng/ml TNF-α +1.0 ng/ml IFN-γ + 0.1 mg/ml LPS); (3) low concentrations (0.05 ng/ml TNF-α + 0.5 ng/ml IFN-γ + 0.05 mg/ml LPS). To establish a fat-loaded condition mimicking steatosis, HCC cells were exposed to several concentrations of PA. To determine the effect of tipifarnib (R115777; Selleckchem, Houston, TX, USA) in the in vitro NASH-related HCC models, HCC cells were treated with the cytokine cocktail or PA at several concentrations with or without 300 nM tipifarnib for 24, 48, and 72 h.
4.4. Western blotting
Whole-cell lysates from cultured cells were prepared using lysis buffer composed of 150 nM NaCl, 50 mM Tris-HCl (pH 7.5), 2 mM EDTA, 1% Triton X-100, 1% sodium deoxycholate, 2% sodium dodecyl sulfate, 28 mM phenylmethylsulfonyl fluoride, and a protease inhibitor cocktail mix (Roche, Mannheim, Germany). Aliquots containing 30 mg of protein were electrophoretically separated in 5%–20% Bis-Tris gels (Inter-Techno Co., Ltd.) and transferred to Amersham Hybond P PVDF 0.45 membranes (Cytiva, Tokyo, Japan). Membranes were blocked with 5% skimmed milk at room temperature for 1 h and then incubated overnight at 4°C with the indicated primary antibodies: anti-HIF-1α (1:1,000 dilution, 610958; BD Biosciences), anti-PARP (1:1,000 dilution, 5625S; Cell Signaling Technology, Danvers, MA, USA), anti-NF-κB (1:1,000 dilution, 8242; Cell Signaling Technology), anti-phospho-NF-κB (1:1,000 dilution, 3033S; Cell Signaling Technology), anti-TGF-β (1:1,000 dilution, 3709S; Cell Signaling Technology), and anti-β-actin (1:10,000 dilution, AC15; Sigma-Aldrich). Following incubation with the corresponding secondary antibodies, the signals were developed using ECL Prime Western Blotting Detection Reagent (Cytiva, Tokyo, Japan). Images were acquired using a FUSION FX7.EDGE imaging system (Vilber Bio Imaging, Marne-la-Vallée, France). Densitometry was performed using Evolution-Capt software (Vilber Bio Imaging).
4.5. Cell viability assay
The effect of tipifarnib on cell proliferation was assessed by counting the number of viable cells by a trypan blue exclusion assay using a TC20™ Automated Cell Counter (Bio-Rad, Hercules, CA, USA).
4.6. Measurement of glucose uptake and lactate production
Glucose uptake and lactate production were measured by a Glucose Assay Kit-WST and Lactate Assay Kit-WST (Dojindo Laboratories, Kumamoto, Japan), respectively, in accordance with the manufacturer’s instructions.
4.7. Quantification of the intracellular ROS level by flow cytometry
Intracellular ROS levels were measured using a Total ROS Detection Kit (Enzo Life Sciences, Farmingdale, NY, USA), in accordance with the manufacturer’s instructions. ROS fluorescence was detected using a FACSVerse flow cytometer (Becton-Dickinson, Franklin Lakes, NJ, USA) and analyzed using FlowJo version 10.0 software (Becton-Dickinson, Franklin Lakes, NJ, USA). The mean fluorescence of ROS production was determined automatically and presented as the geometric mean.
4.8. Measurement of intracellular IL-6 production
Intracellular IL-6 was measured using a Human IL-6 ELISA Kit (RAB0307; Sigma-Aldrich), following the manufacturer’s protocol.
4.9. Animal experiments
Animal experimental protocols were approved by the Institutional Animal Care and Use Committee of Saga University (Approval no. A2019-025-0, December 12, 2019). The animals were kept under specific-pathogen-free conditions maintained at 25°C, with relative humidity of 50%, and illuminated by a 12-h light-dark cycle. They were provided with normal or specific sterile food and autoclaved water
ad libitum. The animal experiments were performed on two or three mice in each cage as the experimental unit. All interventions were carried out during the light cycle. Sample size was determined with power analysis and the HCC incidence rate of mice [
58,
68]. The mice were excluded from the study when significant body weight loss (≥20%), signs of immobility, ruffled fur, or an inability to eat was observed. The NASH-driven HCC mouse model was established by the method of Li et al [
58]. This mouse model develops HCC at 30 weeks of age under a NASH background [
58]. Male 7-day-old C57BL/6J mice were obtained from CLEA Japan, Inc. (Tokyo, Japan). A dose of 35 mg/kg diethylnitrosamine (DEN; N0258; Sigma-Aldrich) was injected intraperitoneally into the mice at day 15. At 6 weeks of age, mice were provided either standard chow (n = 3) or a choline-deficient, L-amino acid-defined, high fat diet (CDAHFD) (60 kcal% fat and 0.1% methionine by weight, A06071302; Research Diets, Inc., New Brunswick, NJ, USA) (n = 14) for 26 weeks. After 6 weeks of the CDAHFD, the mice were treated with daily intraperitoneal injections of 3 mg/kg/day tipifarnib (n = 7) or the vehicle [5% DMSO in 0.1 ml normal saline, n = 7] for 21 weeks. The mice were anesthetized for sacrifice. Terminal blood collection was performed by cardiac puncture. The number of liver tumors visible on the surface was counted macroscopically. Then, the left liver lobe was fixed in 3.5% formaldehyde and the right lobe was snap frozen for further analysis.
4.10. Liver histological evaluation
Formaldehyde-fixed samples were examined histologically by hematoxylin and eosin staining. The area of HCC in the total liver of each microscopy image was marked by a certified pathologist blinded to the mouse characteristics. The ratio of the cross-sectional area of HCC to the total liver was calculated using NDP.view2 software (Hamamatsu Photonics, Shizuoka, Japan).
4.11. Measurement of mouse serum IL-6
The mouse serum level of IL-6 was measured using a mouse IL-6 ELISA Kit (RAB0308; Sigma-Aldrich), following the manufacturer’s protocol.
4.12. Statistical analysis
Data were analyzed using JMP Pro version 16 (SAS Institute, Inc., Cary, NC, USA). The data were analyzed using the unpaired, two-tailed Student’s t-test when comparing two groups. To compare three or more groups, Tukey’s multiple comparisons test was performed for one-way ANOVA. P < 0.05 was considered statistically significant. All data are expressed as the mean ± SEM.
Figure 1.
Effect of tipifarnib on hypoxia-inducible factor (HIF)-1α expression in HepG2, Hep3B, and Huh-7 cells. (A) HIF-1α protein expression was decreased in a dose-dependent manner by treatment with tipifarnib for 24 h. (B, C) HIF-1α expression was observed under normoxic conditions in these HCC cell lines. Treatment with 300 nM tipifarnib for 24 h significantly decreased the HIF-1α protein level. β-Actin as an internal reference was equally expressed in these cells. *p < 0.05, ****p < 0.0001 versus control, N.S.: not significant.
Figure 1.
Effect of tipifarnib on hypoxia-inducible factor (HIF)-1α expression in HepG2, Hep3B, and Huh-7 cells. (A) HIF-1α protein expression was decreased in a dose-dependent manner by treatment with tipifarnib for 24 h. (B, C) HIF-1α expression was observed under normoxic conditions in these HCC cell lines. Treatment with 300 nM tipifarnib for 24 h significantly decreased the HIF-1α protein level. β-Actin as an internal reference was equally expressed in these cells. *p < 0.05, ****p < 0.0001 versus control, N.S.: not significant.
Figure 2.
Effect of tipifarnib on HIF-1α expression under inflammation-induced and fatty acid-loaded conditions in HepG2, Hep3B, and Huh-7 cells. (A) HIF-1α expression was increased by treatment with the cytokine cocktail (low and moderate concentrations) and palmitic acid (PA) (HepG2 and Hep3B cells: 50 and 100 μM; Huh-7 cells: 25 and 50 μM) for 24 h in a dose-dependent manner. (B, C) Treatment with tipifarnib (300 nM) for 24 h reversed the increased HIF-1α expression by treatment with the cytokine cocktail (moderate concentration) and PA (HepG2 and Hep3B cells: 100 μM; Huh-7 cells: 25 μM). Mod and Low indicate moderate and low concentrations of the cytokine cocktail, respectively. β-Actin as an internal reference was equally expressed in these cells. Expression under treatment with tipifarnib alone and the cytokine cocktail/PA without tipifarnib was compared with that in the control. Expression under treatment with the cytokine cocktail or PA with tipifarnib was compared with that under treatment with the cytokine cocktail or PA without tipifarnib. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, N.S.: not significant.
Figure 2.
Effect of tipifarnib on HIF-1α expression under inflammation-induced and fatty acid-loaded conditions in HepG2, Hep3B, and Huh-7 cells. (A) HIF-1α expression was increased by treatment with the cytokine cocktail (low and moderate concentrations) and palmitic acid (PA) (HepG2 and Hep3B cells: 50 and 100 μM; Huh-7 cells: 25 and 50 μM) for 24 h in a dose-dependent manner. (B, C) Treatment with tipifarnib (300 nM) for 24 h reversed the increased HIF-1α expression by treatment with the cytokine cocktail (moderate concentration) and PA (HepG2 and Hep3B cells: 100 μM; Huh-7 cells: 25 μM). Mod and Low indicate moderate and low concentrations of the cytokine cocktail, respectively. β-Actin as an internal reference was equally expressed in these cells. Expression under treatment with tipifarnib alone and the cytokine cocktail/PA without tipifarnib was compared with that in the control. Expression under treatment with the cytokine cocktail or PA with tipifarnib was compared with that under treatment with the cytokine cocktail or PA without tipifarnib. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, N.S.: not significant.
Figure 4.
Effects of tipifarnib (300 nM) on glucose uptake and lactate production in HCC cells under non-alcoholic steatohepatitis (NASH)-like conditions. (A, B) Relative glucose uptake (A) and relative lactate production (B) were evaluated in HepG2 and Hep3B cells treated with moderate concentrations of the cytokine cocktail with or without tipifarnib for 48 h. (C, D) Relative glucose uptake (C) and lactate production (D) were evaluated under treatment with 100 μM PA with or without tipifarnib for 48 h. Control levels were set to 1. Levels under treatment with tipifarnib alone (gray bars) and the cytokine cocktail/PA without tipifarnib (dark gray bars) were compared with those in the control (white bars). Levels under treatment with the cytokine cocktail/PA with tipifarnib (black bars) were compared with those under treatment with the cytokine cocktail/PA without tipifarnib. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, N.S.: not significant.
Figure 4.
Effects of tipifarnib (300 nM) on glucose uptake and lactate production in HCC cells under non-alcoholic steatohepatitis (NASH)-like conditions. (A, B) Relative glucose uptake (A) and relative lactate production (B) were evaluated in HepG2 and Hep3B cells treated with moderate concentrations of the cytokine cocktail with or without tipifarnib for 48 h. (C, D) Relative glucose uptake (C) and lactate production (D) were evaluated under treatment with 100 μM PA with or without tipifarnib for 48 h. Control levels were set to 1. Levels under treatment with tipifarnib alone (gray bars) and the cytokine cocktail/PA without tipifarnib (dark gray bars) were compared with those in the control (white bars). Levels under treatment with the cytokine cocktail/PA with tipifarnib (black bars) were compared with those under treatment with the cytokine cocktail/PA without tipifarnib. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, N.S.: not significant.
Figure 5.
Tipifarnib increases intracellular reactive oxygen species (ROS) production in HepG2, Hep3B, and Huh-7 cells under NASH-like conditions. (A, B) Tipifarnib treatment (300 nM) for 48 h increased the intracellular ROS level in HCC cells treated with moderate concentrations of the cytokine cocktail (A) and 100 μM PA (B). Levels under treatment with tipifarnib alone (gray bars) and the cytokine cocktail/PA without tipifarnib (dark gray bars) were compared with those in the control (white bars). Levels under treatment with the cytokine cocktail/PA with tipifarnib (black bars) were compared with those under treatment with the cytokine cocktail/PA without tipifarnib. **p < 0.01, ***p < 0.001, ****p < 0.0001, N.S.: not significant.
Figure 5.
Tipifarnib increases intracellular reactive oxygen species (ROS) production in HepG2, Hep3B, and Huh-7 cells under NASH-like conditions. (A, B) Tipifarnib treatment (300 nM) for 48 h increased the intracellular ROS level in HCC cells treated with moderate concentrations of the cytokine cocktail (A) and 100 μM PA (B). Levels under treatment with tipifarnib alone (gray bars) and the cytokine cocktail/PA without tipifarnib (dark gray bars) were compared with those in the control (white bars). Levels under treatment with the cytokine cocktail/PA with tipifarnib (black bars) were compared with those under treatment with the cytokine cocktail/PA without tipifarnib. **p < 0.01, ***p < 0.001, ****p < 0.0001, N.S.: not significant.
Figure 7.
Tipifarnib alleviates HCC progression in the diethylnitrosamine (DEN) + choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD) mouse model. (A) Experimental schema of the DEN + CDAHFD model using male C57/BL/6J mice. DEN (35 mg/kg) was injected intraperitoneally into 15-day-old-mice (blue arrowhead). The mice were weaned at 4 weeks of age, followed by feeding on standard chow (brown bar) or the CDAHFD (yellow bar) after 6 weeks (w) of age for a total of 26 weeks. Either the vehicle (5% DMSO, intraperitoneal, daily; white arrowhead) or tipifarnib (3 mg/kg intraperitoneal, daily; red arrowhead) was administered starting on week 12 and ending on week 33 after birth. All mice were euthanized on week 33 to obtain liver and blood samples. (B) Representative macroscopic images of the liver surface. (C) Representative microscopy images of hematoxylin and eosin (H&E) staining of mouse livers. The image of standard chow-fed mice is normal liver parenchyma. Images of vehicle- and tipifarnib-treated mice show HCC. Scale bars have been added for reference. (D) Numbers of >6 mm macroscopic tumors were counted. (E) Ratio of the cross-sectional area of HCC/total liver was evaluated by a certified pathologist using whole scanned H&E-stained sections of the entire left liver. (F) Mouse serum levels of IL-6 were evaluated by an ELISA. Standard chow group: n = 3 mice; vehicle and tipifarnib group: n = 7 mice. *p < 0.05, **p < 0.01, ***p < 0.001, N.S.: not significant.
Figure 7.
Tipifarnib alleviates HCC progression in the diethylnitrosamine (DEN) + choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD) mouse model. (A) Experimental schema of the DEN + CDAHFD model using male C57/BL/6J mice. DEN (35 mg/kg) was injected intraperitoneally into 15-day-old-mice (blue arrowhead). The mice were weaned at 4 weeks of age, followed by feeding on standard chow (brown bar) or the CDAHFD (yellow bar) after 6 weeks (w) of age for a total of 26 weeks. Either the vehicle (5% DMSO, intraperitoneal, daily; white arrowhead) or tipifarnib (3 mg/kg intraperitoneal, daily; red arrowhead) was administered starting on week 12 and ending on week 33 after birth. All mice were euthanized on week 33 to obtain liver and blood samples. (B) Representative macroscopic images of the liver surface. (C) Representative microscopy images of hematoxylin and eosin (H&E) staining of mouse livers. The image of standard chow-fed mice is normal liver parenchyma. Images of vehicle- and tipifarnib-treated mice show HCC. Scale bars have been added for reference. (D) Numbers of >6 mm macroscopic tumors were counted. (E) Ratio of the cross-sectional area of HCC/total liver was evaluated by a certified pathologist using whole scanned H&E-stained sections of the entire left liver. (F) Mouse serum levels of IL-6 were evaluated by an ELISA. Standard chow group: n = 3 mice; vehicle and tipifarnib group: n = 7 mice. *p < 0.05, **p < 0.01, ***p < 0.001, N.S.: not significant.