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Hyponatremia Promotes Cancer Growth in a Murine Xenograft Model of Neuroblastoma

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12 October 2023

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16 October 2023

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Abstract
In cancer patients, hyponatremia is detected in about 40% of cases at hospital admission and has been associated to a worse outcome. We have previously observed that cancer cells from differ-ent tissues show a significantly increased proliferation rate and invasion potential, when cul-tured in low extracellular [Na+]. We have recently developed an animal model of hyponatremia using Foxn1nu/nu mice. The aim of the present study was to compare tumor growth and inva-sivity of the neuroblastoma cell line SK-N-AS in hyponatremic vs. normonatremic mice. Ani-mals were subcutaneously implanted with luciferase-expressing SK-N-AS cells. When masses reached about 100 mm3, hyponatremia was induced in a subgroup of animals via desmopressin infusion. Tumor masses were significantly greater in hyponatremic mice, starting from day 14 and until the day of sacrifice (day 28). Immunohistochemical analysis showed a more intense vascularization and higher levels of expression of the proliferating cell nuclear antigen, chro-mogranin A and heme oxigenase-1 gene in hyponatremic mice. Finally, metalloproteases were also more abundantly expressed in hyponatremic animals compared to control ones. To our knowledge, this is the first in vivo demonstration that hyponatremia is associated to increased cancer growth by activating molecular mechanisms that promote proliferation, angiogenesis and invasivity.
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Subject: Biology and Life Sciences  -   Endocrinology and Metabolism

1. Introduction

Hyponatremia is the most common electrolyte disorder encountered in hospitalized patients. In this setting, the prevalence of hyponatremia is about 30% [1,2]. The same considerations apply to cancer patients, in which low serum sodium ([Na+]) is present in around 40% of cases at admission [3,4]. In addition, roughly half of cancer patients experience one or more episodes of hyponatremia during their disease. In principle, each type of cancer can be associated to hyponatremia, although this alteration is most often present in lung cancer [5]. The main cause of hyponatremia in oncology is the Syndrome of Inappropriate Antidiuresis (SIAD), which is often related to ectopic secretion of arginine vasopressin (AVP) by tumoral cells [6,7]. However, in cancer patients SIAD may be secondary also to the administration of drugs that stimulate AVP secretion (e.g. anticancer drugs, opioids, non-steroidal anti-inflammatory drugs, antidepressants). Non SIAD-related hyponatremia may also occur, as a consequence for instance of vomiting, diarrhea, hydration during chemotherapy, diuretics administration, presence of comorbidities [6,7].
Interestingly, hyponatremia has a negative impact on both Progression-Free Survival (PFS) and Overall Survival (OS) in many types of tumors, including lung [5,8,9], gastrointestinal [10,11], liver [12,13], renal [14,15], prostatic [16], pancreatic [16,17], genitourinary cancer [18,19], mesothelioma [20] and lymphoma [21]. In a large series of patients admitted to a University Cancer Center, an almost three-fold higher hazard ratio for death in hyponatremic patients than in normonatremic ones was observed [3]. Conversely, there is evidence that hyponatremia correction ameliorates patients’ outcome [22,23,24].
We have previously established an in vitro model of hyponatremia [25]. An extensive microarray analysis indicated that in human neuroblastoma cells the expression of more than 40 genes was markedly affected upon cells exposure to low [Na+]. These genes could be clustered in different groups, which were related to cell proliferation and motility [25]. Noteworthy, the gene that showed the highest increase in the expression level in low [Na+] was the heme oxigenase-1 (HMOX-1) gene. HMOX-1 has an antioxidant activity that represents a response to oxidative stress and is also associated with anti-apoptotic effects [26].
More recently, we have confirmed the presence of HMOX-1 overexpression in different cancer cell lines from lung, pancreas, colorectal cancer, neuroblastoma and chronic myeloid leukemia, when grown in low [Na+] [27,28]. We also found that in this condition cell proliferation and invasivity significantly increased, whereas apoptotic death was blunted. Accordingly, an overactivation of the RhoA, ROCK-1, ROCK-2 pathway, which is involved in cell growth and invasion, was observed. In addition, we detected an altered expression of cytoskeleton-associated proteins that lead to actin cytoskeletal remodelling and cell motility [27,28].
To our knowledge, no data regarding cancer growth in in vivo models of hyponatremia have been published, so far. We have recently developed an animal model of hyponatremia, by administering desmopressin (dDAVP) via osmotic minipumps to Foxn1nu/nu mice [29].
The aim the present study was to take advantage of this murine model of hyponatremia, in order to compare tumor growth and invasivity of neuroblastoma cells (i.e. SK-N-AS cell line) in hyponatremic vs. normonatremic animals.

2. Results

Induction of hyponatremia in nude mice

Foxn1nu/nu mice were subcutaneously implanted with 2x106 SK-N-AS Luc2-positive cells on both flanks. When masses of about 100 mm3 were reached (T0), hyponatremia was induced as previously described [29] for 28 days with dDAVP infusion at the rate of 0.3 ng/h. According to previous findings, the hyponatremic group (n=8) showed a significant increase of weight from T12 to T20, with a significant difference vs the normonatremic (i.e. control) group (n=6) (Figure 1a). However, after T20, the body weight of animals in the hyponatremic group and in the control group were similar, likely by compensatory mechanisms. For the control group, no significant weight difference was observed during the experimental period, with the exception of an increase at T17. In accordance with previous results, serum [Na+] was significantly lower in dDAVP treated mice (118.69±2.15 mEq/L, mean±SE), compared to controls (145.42±3.36 mEq/L, mean±SE, p≤0.002), (Figure 1b).

Analysis of tumor masses and survival

Tumor masses were measured repeatedly by two different operators at different time points. In both the control and the hyponatremic group tumor mass volume was expressed as fold increase compared to T0. Differences in tumor growth were early observed. Notably, starting from T6 the slope of growth curves in the two experimental groups differed and the difference became statistically significant from T14 to T22 (p≤0.05) (Figure 2a). At sacrifice, tumor masses were explanted and weight and volume were measured (Figure 2b-d). Tumor mass weight and volume at the day of sacrifice were significantly greater in the hyponatremic group (p≤0.05 and p≤0.02 vs control, respectively).
Kaplan-Meier survival analysis showed a trend to a lower survival of hyponatraemic mice, with a median survival time of 18±2.40 days (mean±SE) compared to and 23±3.24 days (mean±SE) in the control group (Figure 3).

Analysis of tumor progression with IVIS Lumina 5 System

Tumor activity was assessed in vivo with the IVIS Lumina S5 System at different time points: T0, T10 and T20. At T20, the bioluminescence emission was significantly increased both in the control and in the hyponatremic group, when compared to T0 (p≤0.02 and p≤0.002 vs T0). More interestingly, at T20 the bioluminescent emission of tumor masses in the hyponatremic group was significantly greater than in the control one (p≤0.05) (Figure 4).

Histological and immunohistochemical analysis

Paraffine embedded tumor masses were histologically and immunohistochemically analyzed. Hematoxylin-eosin staining showed that in hyponatremic mice tumors were more vascularized than in normonatremic animals (p≤0.05 vs control group) (Figure 5a). This finding was confirmed by immunohistochemical analysis for CD34, a marker of endothelial progenitor cells, which was found to be more intensively expressed in the tumor masses of hyponatremic mice (p≤0.02 vs control group) (Figure 5b). The levels of expression of the proliferating cell nuclear antigen (PCNA) were also significantly greater in the tumor masses of hyponatremic mice compared to normonatremic mice (p≤0.02 vs control group) (Figure 5c). Chromogranin A, a protein widely expressed in neuroblastomas that has a strong correlation with cell proliferation, showed a significantly stronger expression in tumors from hyponatremic mice (p≤0.002 vs control group) (Figure 5d). The expression of the oxidative marker protein HMOX-1 was also analyzed. Again, HMOX-1 was more intensively expressed in the masses of hyponatremic mice (p≤0.02 vs control group) (Figure 5e).

Analysis of MMPs activity in vivo with IVIS Lumina S5

The day of sacrifice, the activity of MMPs, proteins related to tumor aggressiveness and metastatic potential, was analyzed. MMPs were significantly more expressed in the tumor masses of hyponatremic mice compared to the control group (p≤0.05 vs control group) (Figure 6).

3. Discussion

The awareness that hyponatremia may represent a negative prognostic factor in different pathologies has increased in the last decennium [30]. A number of published studies clearly indicated that low [Na+] adversely affects also the outcome of cancer patients [5,8,9,10,11,12,13,14,15,16,17,20,21]. In vitro findings supported these clinical observations. In particular, we have demonstrated that the proliferation and invasivity of different cancer cell lines, including neuroblastoma ones, are significantly increased in low extracellular [Na+] [27,28]. To our knowledge, no in vivo experimental model of hyponatremia has been used to assess tumoral growth, so far. We have recently developed a mouse (Foxn1nu/nu) model of hyponatremia secondary to SIAD [29]. Therefore, in this study we used these mice to create a xenograft model of neuroblastoma, through the subcutaneous injection of SK-N-AS cells. Normonatremic mice served as the control group.
In agreement with in vitro findings [27,28], we found that the growth of tumoral lesions was significantly greater in hyponatremic animals. The different growth vs normonatremic mice was observed starting from a few days after the induction of hyponatremia and became statistically significant at day 14. The difference between the two groups was maintained until day 28, when the mice that were still alive were sacrificed. At that time, the size of the lesions in the hyponatremic group was significantly greater than the size in the control group.
Because the cells had been transfected with luciferase, it was possible, using the IVIS Lumina S5 Imaging System, to detect the bioluminescence emission of tumoral masses. In agreement with the above reported observations, the bioluminescent signal in hyponatremic animals was greater than in the control group.
Furthermore, there was a trend to a reduced survival in hyponatremic mice than in normonatremic ones, as indicated by the Kaplan Meier analysis. This finding is in keeping with the number of clinical observations that both PFS and OS are reduced in hyponatremic cancer patients (5,8–21).
At the time of sacrifice, tumors were excised and histological samples were prepared for further analyses. Interestingly, we found that the vascularization of tumor lesions obtained from hyponatremic mice was more evident than in normonatremic animals. It is very well known that the growth of solid tumors is closely related to the recruitment of blood vessels. The idea of tumor angiogenesis was first proposed by Judah Folkman in 1971 [31]. Tumor cell survival is warranted by the expression of pro-angiogenic factors, which induce the generation of new vessels [32]. In turn, blocking angiogenesis has been identified as a possible pharmacological strategy in cancer treatment [33]. The CD34 protein was first identified about four decades ago as a biomarker of hematopoietic stem cells [34], but its expression has been more recently observed also in other cell types, including endothelial precursors, which are actively involved in blood vessels formation [35]. Thus, CD34 has been also utilized as a biomarker to assess angiogenesis in malignancies [36] and an increased number of CD34 surface-expressing cells has been correlated with disease progression and therapy resistance in neuroblastoma [37]. Noteworthy, the immunostaining for CD34 was more intense in the vessels of tumor lesions from hyponatremic mice, with a statistically significant difference. In addition, we found a significantly higher expression of the PCNA in this group of animals. PCNA is a nuclear protein, which is involved in DNA replication, elongation and repair [38]. PCNA also regulates cell cycle progression through the G1/S boundary by interacting with cyclin/cdk, and it has been identified as a possible target for anticancer strategies [38,39,40,41,42].
Immunohistochemical analysis also revealed the presence of a more intense staining for chromogranin A in tumor samples from the hyponatremic group. Chromogranin A is a 456-amino acid protein of the granin family, which is expressed in endocrine, neuroendocrine, peripheral and central neural tissues [43]. Serum levels of chromogranin A are elevated in different neuroendocrine tumors, including carcinoids, pancreatic tumors, pheochromocytoma, paraganglioma, and neuroblastoma [44]. Interestingly, serum chromogranin A levels in patients with neuroblastoma are associated with a worse outcome [45,46] and patients with advanced disease stages have higher serum levels than those with localized disease [45]. It has been reported that the reduction of chromogranin A levels by knockout approaches in neuroblastoma cells caused a reduced cell proliferation rate by inhibiting the AKT/ERK pathway, whereas in an in vivo xenograft model of neuroblastoma chromogranin A knockdown led to a more differentiated (S-type) phenotype, which is known to be associated to a more favourable outcome [47].
In the lesions excised from hyponatremic mice we also detected higher levels of expression of the HMOX-1 gene, compared to control animals. This result confirms our previous in vitro observations in cancer cell lines from different tissues grown in low extracellular [Na+] [25,26,27,28,48]. It is worth mentioning that HMOX-1 has been associated to several functions that overall create a microenvironment that favors tumor growth. In particular, it has been shown to promote carcinogenesis, cell proliferation, angiogenesis and invasion. It has been also demonstrated that HMOX-1 can induce chemoresistance by limiting Reactive Oxygen Species-mediated oxidative damage, promoting apoptosis resistance and activating protective autophagy [49,50]. For these reasons, HMOX-1 has been considered as a possible target in anticancer strategies and in vitro as well as in vivo observations reported that selective inhibition of HMOX-1 reduces cell proliferation and invasion, whereas it induces cell apoptosis [49,50,51].
Finally, we detected an increased amount of MMPs in tumor masses from hyponatremic mice. This finding is in agreement with similar data observed in cancer cells grown in low extracellular [Na+] [27,28]. Matrix metalloproteases represent a category of proteolytic enzymes that have a fundamental role in extracellular matrix degradation. As such, they participate in multiple physiological and pathological processes, including cancer. Here, MMPs favor tumor progression not only by degrading matrix proteins, but also by modulating the immune response and influencing the tumor microenvironment [52,53].
Overall, the present results represent the first in vivo demonstration that hyponatremia is associated to cancer growth by activating molecular mechanisms that lead to increased proliferation, angiogenesis and invasivity. As previously reported in in vitro experiments [27,28], hyponatremia-related modulation of oxidative stress appears to have an important role in favoring cancer progression. These data are in agreement with the robust clinical observations that hyponatremia is associated to a worse outcome in cancer patients and further reinforce the recommendation to promptly recognize and correct this electrolyte alteration. This recommendation is strengthened by clinical reports indicating that the normalization of serum [Na+] in cancer patients results in a prolonged PFS and OS [22,23,24].
As a final remark, the question whether hyponatremia might be viewed also as a risk factor to develop cancer remains unsolved, so far. However, a Danish study, which identified 16,220 patients with a first-time diagnosis of hyponatremia in medical registries, showed that low serum [Na+] was associated to a significantly increased risk to have a diagnosis of cancer, particularly within the first six months of follow up. The authors suggest that hyponatremia might be a marker of occult neoplasms [54]. This finding, which needs to be confirmed by additional studies, suggests that a correct [Na+] balance might be seen in the future also as a prevention measure against cancer, in addition to a marker of prognosis.

4. Materials and Methods

Chemicals and reagents

Human stromal type neuroblastoma tumor cells (SK-N-AS, Manassas, VA, USA), Dulbecco’s Modified Eagle Medium (DMEM) culture medium, fetal bovine serum (FBS), L-glutamine and antibiotics (penicillin and streptomycin), Hank's Balanced Salt Solution (BSS) were purchased from Millipore (Milan, Italy).

Cell cultures and cell transfection

SK-N-AS cells were cultured in DMEM supplemented with 10% FBS, L-glutamine and antibiotics (50 U/ml penicillin and 50 μg/ml streptomycin) and maintained at 37 °C in a humidified atmosphere (5% CO2/95% air).
Luciferase-expressing SK-N-AS cells were produced as follows. Two million cells were cultured in six-well plates with 1.6 ml of DMEM; upon reaching 80% of confluence, cells were transfected with pGL4.51(Luc2/CMV/Neo) plasmid (Promega Corporation, Madison, Wisconsin, USA), an engineered vector containing Luc2 sequence for luciferase expression in mammalian cells and the gene for geneticin resistance. Transfection occurred using the commercial Effectene® Transfection Reagent kit (301425, QIAGEN, Hilden, Germany) operating as per protocol. Briefly, 4.0 µg of plasmid DNA was suspended in 100 µl of 1X Tris-EDTA buffer with 3.2 µl of Enhacer. After 2-3 minutes of incubation at room temperature, 10 µl of Effectene® Transfection Reagent was added to the mix, which was dispensed dropwise into each well. After 72 hours of growth in the transfection medium, cells were washed with 1X PBS and placed in complete medium with the addition of geneticin (G418, 108321-42-2, Invivogen, San Diego, CA, USA). The optimal concentration of 800 µg/ml used for cell clone selection was identified by treating cells with increasing doses of G418 (0-1000 µg/ml).

A murine xenograft model of neuroblastoma

All animal experiments were conducted in accordance with institutional ethical standards and national laws after approval by the Ministry of Health [D. No. 512/2022-PR (prot. 17E9C.261)]. Eight-week-old male Foxn1nu/nu mice (n=14) (Charles River Laboratories International, Wilmington, Massachusetts, USA) were housed in sterile areas equipped with ventilation and sterile barriers with a 12/12-hour light/dark cycle and a constant temperature (21-23 °C) in a standard animal facility (Ce.S.A.L., Department of Biomedical, Experimental and Clinical Sciences "Mario Serio," Florence, Italy), inside "sterile filter top" cages. In the first week of acclimatization, all mice had ad libitum access to standard chow (MF®; Oriental Yeast Co., Ltd., Tokyo, Japan) and tap water. After one week they were subcutaneously implanted with 2x106 SK-N-AS Luc2-positive cells on both flanks. Tumor masses were monitored daily using a digital caliper and the volume (mm3) was calculated using the following formula: 0.52 x long side x (short side)2. Upon reaching a volume masses of about 100 mm3, hyponatremia was induced as previously described [29] by subcutaneous implantation of an osmotic minipump (model 1004, Alzet, Cupertino, CA, USA). Mice were randomly divided into two experimental groups: a control group (n = 6), implanted with isotonic saline-charged minipumps (0.9% NaCl), and a treatment (i.e. hyponatremic) group (n = 8), implanted with dDAVP-filled minipumps (MINIRIN/DDAVP 0.05 mg/ml, Ferring S.P.A., Milan, Italy); in both groups the flow rate was 0.3 ng/h, for 28 days. To keep ingested fluid intake controlled, for the entire duration of the experiment the treatment group was fed with rodent liquid diet only, without access to tap water. The animals were sacrificed at day 28 or when the human end point was reached, according to the Italian Health Ministry protocol.

In vivo imaging: IVIS Lumina S5 Imaging System

Tumor growth was assessed from the day of mini-pumps implantation (time point zero, T0), every 10 days (T10, T20) and until the day of sacrifice, using the IVIS Lumina S5 imaging system (Perkin Elmer, Waltham, Massachusetts, USA). Before imaging, 100 µl/10g of body weight of D-luciferin potassium salt solution (15 mg/ml, Perkin Elmer, Waltham, Massachusetts, USA) was intraperitoneal injected into each mouse. Three to five minutes post-injection mice were anesthetized with 2.5% isoflurane (1L/min flow); bioluminescent images were acquired 15 minutes after initial injection with a Lumina IVIS S5, provided by the Department of Experimental and Clinical Biological Sciences "Mario Serio" (Florence, Italy). Luminescence was measured as Radiance (total Flux photon/sec) with the Living Image® 4.7.2 Software (Perkin Elmer, Waltham, Massachusetts, USA) in the region of interest (ROI) encompassing tumor masses.
For fluorescent imaging of metalloproteases (MMPs) activity, 24h before sacrifice MMPSense™ 750 FAST fluorescent probe (100 µl for each animal, Perkin Elmer, Waltham, Massachusetts, USA) was administered into the tail vein. Fluorescent images were acquired with optimal filter for the dye with a Spectral unmixing protocol to reduce autofluorescence signalling. Fluorescence, corrected by the spectral unmixing protocol, was measured as “Radiant Efficiency” (p/sec/cm2/sr/μW/cm2) with the Living Image® 4.7.2 Software (Perkin Elmer, Waltham, Massachusetts, USA) in region of interest (ROI) encompassing tumor masses.

Serum [Na+] analysis

Animals were sacrificed with an overdose of anaesthetic (ketamine/xylazine) to allow beating heart blood sampling by transthoracic cardiocentesis to analyze serum [Na+]. Blood samples were centrifuged at 3000 xg for 10 min at +4 °C and processed for [Na+] measurement using the Cobas 8000 (Roche/Hitachi family, Basel, Switzerland). Biochemical analyses were carried out by the General Clinical Chemical laboratory of AOU Careggi (Florence, Italy), according to the standard procedures.

Tissues preparation and morphological characterization

At sacrifice, tumor masses were rapidly explanted. Tumor masses were measured and weighted and fixed in 10% formalin (65-30001F—Bio-Optica Milano Spa, Milan, Italy) for at least 48 h and washed twice in water before embedding in paraffin (ASP300S and HistoCore processor, Arcadia Inclusion System, Leica Biosystems, Milan, Italy). Tumor masses sections (5-7 µm) were stained with hematoxylin and eosin (Hematoxylin Gill 3, 05-06015L and Eosin Y alcoholic solution, 05-10,003/L-Bio-Optica Milano Spa, Italy) and finally all slides were dehydrated and mounted in a resinous medium (09-00500, Eukitt-BioOptica Milano Spa, Italy). Densitometric analysis of positive pixels of vascularization area was performed.

Immunohistochemical analysis

After de-paraffinization and rehydration, formalin-fixed slices were boiled in Buffer Citrate (pH = 6) at 95 °C for 10 min for antigenic unmasking, placed in 6% H2O2 solution for 30 min at room temperature to inhibit tissue peroxidases and blocked in PBS/BSA 2% solution for 1 h. To reduce endogenous antibodies binding, slices were incubated with ReadyProbes™ Mouse-on-Mouse IgG Blocking Solution (R37621, Invitrogen, Waltham, Massachusetts, USA) for 1 h at room temperature. After that, tissue sections were incubated with the following primary antibody: rabbit polyclonal anti-HMOX1 (ab52947, 1:100, Abcam, Cambridge, UK), mouse monoclonal anti-PCNA (#2586, 1:16000, Cell Signaling Technology, Danvers, Massachusetts, USA), mouse monoclonal anti-chromogranin A (MA5-13096, 1:800, Invitrogen, Waltham, Massachusetts, USA), mouse monoclonal anti-CD34 (ab8158, 1:50, Abcam, Cambridge, UK) at 4 °C overnight. After one-hour incubation with the specific secondary antibody conjugated to horseradish peroxidase (HRP-linked anti-mouse IgG, #7076 or HRP-linked anti-rabbit IgG, #7074 Cell Signaling Technology, Danvers, Massachusetts, USA), AEC (3-amino-9-ethylcarbazole) Substrate Peroxidase (HRP) Kit (SK-4200, Vector Laboratories, Burlingame, CA, USA) or SignalStain® DAB Substrate Kit (#8059, Cell Signaling Technology, Danvers, Massachusetts, USA) were used for antigen detection. AEC/DAB positive cells were analyzed and quantified using ImageJ (https://fiji.sc) and GraphPad Prism 5.0 Software (https://www.graphpad.com).

Statistical analysis

Each experiment was performed in triplicates, unless otherwise stated. Statistical analysis was performed with GraphPad. Normality of data distribution was assessed with the Shapiro–Wilk normality test. When comparing multiple groups, ANOVA followed by Dunn’s test was used for parametric data, whereas the Kruskal–Wallis test followed by the Conover-Iman test was used for pairwise comparisons of non-parametric data. Values were expressed as mean ± standard error (SE), and p ≤ 0.05 was considered to indicate a statistically significant difference.

Author Contributions

Conceptualization, G.M., L.N., B.F., A.E., S.P., M.B., A.F., M.M. and A.P.; Data curation, G.M., L.N., B.F., A.E., S.P., M.B., A.F., M.M. and A.P.; Formal analysis, G.M., L.N., and S.P.; Investigation, G.M., L.N., B.F., A.E., S.P., M.B., A.F., M.M. and A.P.; Methodology, G.M., L.N., A.E. and S.P.; Project administration, B.F., M.M. and A.P.; Resources, G.M. and L.N.; Software, G.M., L.N. and S.P.; Supervision, B.F., M.M. and A.P.; Validation, G.M., L.N., B.F., S.P., M.B., A.F., M.M. and A.P.; Writing – original draft, B.F. and A.P.; Writing – review & editing, G.M., L.N., B.F., M.M. and A.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by a grant from Italian University and Research Ministry, PRIN 2017R5ZE2C.

Institutional Review Board Statement

The animal study protocol was approved by the Ministry of Health [D. No. 512/2022-PR (prot. 17E9C.261)].

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Adrogué, H.J.; Madias, N.E. Hyponatremia. N. Engl. J. Med. 2000, 342, 1581–1589. [Google Scholar] [CrossRef]
  2. Rondon-Berrios, H.; Agaba, E.I.; Tzamaloukas, A.H. Hyponatremia: Pathophysiology, Classification, Manifestations and Management. Int. Urol. Nephrol. 2014, 46, 2153–2165. [Google Scholar] [CrossRef] [PubMed]
  3. Doshi, S.M.; Shah, P.; Lei, X.; Lahoti, A.; Salahudeen, A.K. Hyponatremia in Hospitalized Cancer Patients and Its Impact on Clinical Outcomes. Am. J. kidney Dis. Off. J. Natl. Kidney Found. 2012, 59, 222–228. [Google Scholar] [CrossRef] [PubMed]
  4. Berardi, R.; Rinaldi, S.; Caramanti, M.; Grohè, C.; Santoni, M.; Morgese, F.; Torniai, M.; Savini, A.; Fiordoliva, I.; Cascinu, S. Hyponatremia in Cancer Patients: Time for a New Approach. Crit. Rev. Oncol. Hematol. 2016, 102, 15–25. [Google Scholar] [CrossRef]
  5. Castillo, J.J.; Glezerman, I.G.; Boklage, S.H.; Chiodo, J. 3rd; Tidwell, B.A.; Lamerato, L.E.; Schulman, K.L. The Occurrence of Hyponatremia and Its Importance as a Prognostic Factor in a Cross-Section of Cancer Patients. BMC Cancer 2016, 16, 564. [Google Scholar] [CrossRef]
  6. Sbardella, E.; Isidori, A.M.; Arnaldi, G.; Arosio, M.; Barone, C.; Benso, A.; Berardi, R.; Capasso, G.; Caprio, M.; Ceccato, F.; et al. Approach to Hyponatremia According to the Clinical Setting: Consensus Statement from the Italian Society of Endocrinology (SIE), Italian Society of Nephrology (SIN), and Italian Association of Medical Oncology (AIOM). J. Endocrinol. Invest. 2018, 41, 3–19. [Google Scholar] [CrossRef]
  7. Grohé, C. Hyponatremia in Oncology Patients. Front. Horm. Res. 2019, 52, 161–166. [Google Scholar] [CrossRef]
  8. Gandhi, L.; Johnson, B.E. Paraneoplastic Syndromes Associated with Small Cell Lung Cancer. J. Natl. Compr. Canc. Netw. 2006, 4, 631–638. [Google Scholar] [CrossRef]
  9. Rawson, N.S.; Peto, J. An Overview of Prognostic Factors in Small Cell Lung Cancer. A Report from the Subcommittee for the Management of Lung Cancer of the United Kingdom Coordinating Committee on Cancer Research. Br. J. Cancer 1990, 61, 597–604. [Google Scholar] [CrossRef] [PubMed]
  10. Zhou, M.H.; Wang, Z.H.; Zhou, H.W.; Liu, M.; Gu, Y.J.; Sun, J.Z. Clinical Outcome of 30 Patients with Bone Marrow Metastases. J. Cancer Res. Ther. 2018, 14, S512–S515. [Google Scholar] [CrossRef] [PubMed]
  11. Choi, J.S.; Bae, E.H.; Ma, S.K.; Kweon, S.S.; Kim, S.W. Prognostic Impact of Hyponatraemia in Patients with Colorectal Cancer. Color. Dis. Off. J. Assoc. Coloproctology Gt. Britain Irel. 2015, 17, 409–416. [Google Scholar] [CrossRef]
  12. Ginès, P.; Guevara, M. Hyponatremia in Cirrhosis: Pathogenesis, Clinical Significance, and Management. Hepatology 2008, 48, 1002–1010. [Google Scholar] [CrossRef] [PubMed]
  13. Cescon, M.; Cucchetti, A.; Grazi, G.L.; Ferrero, A.; Viganò, L.; Ercolani, G.; Zanello, M.; Ravaioli, M.; Capussotti, L.; Pinna, A.D. Indication of the Extent of Hepatectomy for Hepatocellular Carcinoma on Cirrhosis by a Simple Algorithm Based on Preoperative Variables. Arch. Surg. 2009, 144, 57–63, discussion 63. [Google Scholar] [CrossRef] [PubMed]
  14. Vasudev, N.S.; Brown, J.E.; Brown, S.R.; Rafiq, R.; Morgan, R.; Patel, P.M.; O’Donnell, D.; Harnden, P.; Rogers, M.; Cocks, K.; et al. Prognostic Factors in Renal Cell Carcinoma: Association of Preoperative Sodium Concentration with Survival. Clin. cancer Res. an Off. J. Am. Assoc. Cancer Res. 2008, 14, 1775–1781. [Google Scholar] [CrossRef] [PubMed]
  15. Schutz, F.A.B.; Xie, W.; Donskov, F.; Sircar, M.; McDermott, D.F.; Rini, B.I.; Agarwal, N.; Pal, S.K.; Srinivas, S.; Kollmannsberger, C.; et al. The Impact of Low Serum Sodium on Treatment Outcome of Targeted Therapy in Metastatic Renal Cell Carcinoma: Results from the International Metastatic Renal Cell Cancer Database Consortium. Eur. Urol. 2014, 65, 723–730. [Google Scholar] [CrossRef] [PubMed]
  16. Abu Zeinah, G.F.; Al-Kindi, S.G.; Hassan, A.A.; Allam, A. Hyponatraemia in Cancer: Association with Type of Cancer and Mortality. Eur. J. Cancer Care (Engl). 2015, 24, 224–231. [Google Scholar] [CrossRef] [PubMed]
  17. Berardi, R.; Rinaldi, S.; Belfiori, G.; Partelli, S.; Crippa, S.; Torniai, M.; Falconi, M. The Role of Hyponatraemia Before Surgery in Patients With Radical Resected Pancreatic Cancer. Clin. Med. Insights. Oncol. 2020, 14, 1179554920936605. [Google Scholar] [CrossRef] [PubMed]
  18. Yeh, H.-C.; Li, C.-C.; Wen, S.-C.; Singla, N.; Woldu, S.L.; Robyak, H.; Huang, C.-N.; Ke, H.-L.; Li, W.-M.; Lee, H.-Y.; et al. Validation of Hyponatremia as a Prognostic Predictor in Multiregional Upper Tract Urothelial Carcinoma. J. Clin. Med. 2020, 9. [Google Scholar] [CrossRef]
  19. Guo, J.-Y.; Gong, T.-T.; Yang, Z.; Liu, Y.; Wang, L.; Wang, Y.-N.; Wu, Q.-J. Prognostic Value of Preoperative Hyponatremia in Patients with Epithelial Ovarian Cancer. J. Cancer 2019, 10, 836–842. [Google Scholar] [CrossRef]
  20. Berardi, R.; Mocchegiani, F.; Rinaldi, S.; Fiordoliva, I.; Rovinelli, F.; Caramanti, M.; Federici, A.; Burattini, M.; Morgese, F.; Torniai, M.; et al. Hyponatremia Is a Predictor of Clinical Outcome for Resected Biliary Tract Cancers: A Retrospective Single-Center Study. Oncol. Ther. 2020, 8, 115–124. [Google Scholar] [CrossRef]
  21. Dhaliwal, H.S.; Rohatiner, A.Z.; Gregory, W.; Richards, M.A.; Johnson, P.W.; Whelan, J.S.; Gallagher, C.J.; Matthews, J.; Ganesan, T.S.; Barnett, M.J. Combination Chemotherapy for Intermediate and High Grade Non-Hodgkin’s Lymphoma. Br. J. Cancer 1993, 68, 767–774. [Google Scholar] [CrossRef]
  22. Hansen, O.; Sørensen, P.; Hansen, K.H. The Occurrence of Hyponatremia in SCLC and the Influence on Prognosis: A Retrospective Study of 453 Patients Treated in a Single Institution in a 10-Year Period. Lung Cancer 2010, 68, 111–114. [Google Scholar] [CrossRef]
  23. Berardi, R.; Santoni, M.; Newsom-Davis, T.; Caramanti, M.; Rinaldi, S.; Tiberi, M.; Morgese, F.; Torniai, M.; Pistelli, M.; Onofri, A.; et al. Hyponatremia Normalization as an Independent Prognostic Factor in Patients with Advanced Non-Small Cell Lung Cancer Treated with First-Line Therapy. Oncotarget 2017, 8, 23871–23879. [Google Scholar] [CrossRef]
  24. Balachandran, K.; Okines, A.; Gunapala, R.; Morganstein, D.; Popat, S. Resolution of Severe Hyponatraemia Is Associated with Improved Survival in Patients with Cancer. BMC Cancer 2015, 15, 163. [Google Scholar] [CrossRef]
  25. Benvenuti, S.; Deledda, C.; Luciani, P.; Modi, G.; Bossio, A.; Giuliani, C.; Fibbi, B.; Peri, A. Low Extracellular Sodium Causes Neuronal Distress Independently of Reduced Osmolality in an Experimental Model of Chronic Hyponatremia. Neuromolecular Med. 2013, 15, 493–503. [Google Scholar] [CrossRef]
  26. Fibbi, B.; Marroncini, G.; Naldi, L.; Anceschi, C.; Errico, A.; Norello, D.; Peri, A. Hyponatremia and Cancer: From Bedside to Benchside. Cancers (Basel). 2023, 15. [Google Scholar] [CrossRef] [PubMed]
  27. Marroncini, G.; Fibbi, B.; Errico, A.; Grappone, C.; Maggi, M.; Peri, A. Effects of Low Extracellular Sodium on Proliferation and Invasive Activity of Cancer Cells in Vitro. Endocrine 2020, 67, 473–484. [Google Scholar] [CrossRef] [PubMed]
  28. Marroncini, G.; Anceschi, C.; Naldi, L.; Fibbi, B.; Baldanzi, F.; Martinelli, S.; Polvani, S.; Maggi, M.; Peri, A. Low Sodium and Tolvaptan Have Opposite Effects in Human Small Cell Lung Cancer Cells. Mol. Cell. Endocrinol. 2021, 537, 111419. [Google Scholar] [CrossRef] [PubMed]
  29. Marroncini, G.; Anceschi, C.; Naldi, L.; Fibbi, B.; Brogi, M.; Lanzilao, L.; Fanelli, A.; Maggi, M.; Peri, A. Hyponatremia-Related Liver Steatofibrosis and Impaired Spermatogenesis: Evidence from a Mouse Model of the Syndrome of Inappropriate Antidiuresis. J. Endocrinol. Invest. 2023, 46, 967–983. [Google Scholar] [CrossRef] [PubMed]
  30. Corona, G.; Giuliani, C.; Parenti, G.; Norello, D.; Verbalis, J.G.; Forti, G.; Maggi, M.; Peri, A. Moderate Hyponatremia Is Associated with Increased Risk of Mortality: Evidence from a Meta-Analysis. PLoS One 2013, 8, e80451. [Google Scholar] [CrossRef] [PubMed]
  31. Folkman, J. Tumor Angiogenesis: Therapeutic Implications. N. Engl. J. Med. 1971, 285, 1182–1186. [Google Scholar] [CrossRef]
  32. Carmeliet, P.; Jain, R.K. Angiogenesis in Cancer and Other Diseases. Nature 2000, 407, 249–257. [Google Scholar] [CrossRef]
  33. Jain, R.K. Antiangiogenesis Strategies Revisited: From Starving Tumors to Alleviating Hypoxia. Cancer Cell 2014, 26, 605–622. [Google Scholar] [CrossRef] [PubMed]
  34. Civin, C.I.; Strauss, L.C.; Brovall, C.; Fackler, M.J.; Schwartz, J.F.; Shaper, J.H. Antigenic Analysis of Hematopoiesis. III. A Hematopoietic Progenitor Cell Surface Antigen Defined by a Monoclonal Antibody Raised against KG-1a Cells. J. Immunol. 1984, 133, 157–165. [Google Scholar] [CrossRef]
  35. Fina, L.; Molgaard, H. V; Robertson, D.; Bradley, N.J.; Monaghan, P.; Delia, D.; Sutherland, D.R.; Baker, M.A.; Greaves, M.F. Expression of the CD34 Gene in Vascular Endothelial Cells. Blood 1990, 75, 2417–2426. [Google Scholar] [CrossRef]
  36. Kapoor, S.; Shenoy, S.P.; Bose, B. CD34 Cells in Somatic, Regenerative and Cancer Stem Cells: Developmental Biology, Cell Therapy, and Omics Big Data Perspective. J. Cell. Biochem. 2020, 121, 3058–3069. [Google Scholar] [CrossRef] [PubMed]
  37. Aravindan, N.; Somasundaram, D.B.; Herman, T.S.; Aravindan, S. Significance of Hematopoietic Surface Antigen CD34 in Neuroblastoma Prognosis and the Genetic Landscape of CD34-Expressing Neuroblastoma CSCs. Cell Biol. Toxicol. 2021, 37, 461–478. [Google Scholar] [CrossRef] [PubMed]
  38. González-Magaña, A.; Blanco, F.J. Human PCNA Structure, Function and Interactions. Biomolecules 2020, 10. [Google Scholar] [CrossRef]
  39. Zhang, H.; Xiong, Y.; Beach, D. Proliferating Cell Nuclear Antigen and P21 Are Components of Multiple Cell Cycle Kinase Complexes. Mol. Biol. Cell 1993, 4, 897–906. [Google Scholar] [CrossRef]
  40. Kumar, A.; Kurmi, B. Das; Singh, A.; Singh, D. Potential Role of Resveratrol and Its Nano-Formulation as Anti-Cancer Agent. Explor. Target. anti-tumor Ther. 2022, 3, 643–658. [Google Scholar] [CrossRef]
  41. Begum, S.N.; Ray, A.S.; Rahaman, C.H. A Comprehensive and Systematic Review on Potential Anticancer Activities of Eugenol: From Pre-Clinical Evidence to Molecular Mechanisms of Action. Phytomedicine 2022, 107, 154456. [Google Scholar] [CrossRef] [PubMed]
  42. Song, B.; Wang, W.; Tang, X.; Goh, R.M.W.-J.; Thuya, W.L.; Ho, P.C.L.; Chen, L.; Wang, L. Inhibitory Potential of Resveratrol in Cancer Metastasis: From Biology to Therapy. Cancers (Basel). 2023, 15. [Google Scholar] [CrossRef] [PubMed]
  43. Bartolomucci, A.; Possenti, R.; Mahata, S.K.; Fischer-Colbrie, R.; Loh, Y.P.; Salton, S.R.J. The Extended Granin Family: Structure, Function, and Biomedical Implications. Endocr. Rev. 2011, 32, 755–797. [Google Scholar] [CrossRef] [PubMed]
  44. Modlin, I.M.; Gustafsson, B.I.; Moss, S.F.; Pavel, M.; Tsolakis, A. V; Kidd, M. Chromogranin A--Biological Function and Clinical Utility in Neuro Endocrine Tumor Disease. Ann. Surg. Oncol. 2010, 17, 2427–2443. [Google Scholar] [CrossRef] [PubMed]
  45. Hsiao, R.J.; Seeger, R.C.; Yu, A.L.; O’Connor, D.T. Chromogranin A in Children with Neuroblastoma. Serum Concentration Parallels Disease Stage and Predicts Survival. J. Clin. Invest. 1990, 85, 1555–1559. [Google Scholar] [CrossRef] [PubMed]
  46. Pagani, A.; Macri, L.; Faulkner, L.B.; Tintori, V.; Paoli, A.; Garaventa, A.; Bussolati, G. Detection Procedures for Neuroblastoma Cells Metastatic to Blood and Bone Marrow: Blinded Comparison of Chromogranin A Heminested Reverse Transcription Polymerase Chain Reaction to Tyrosine Hydroxylase Nested Reverse Transcription Polymerase Chain Reacti. Diagnostic Mol. Pathol. Am. J. Surg. Pathol. part B 2002, 11, 98–106. [Google Scholar] [CrossRef]
  47. Zhang, D.; Babayan, L.; Ho, H.; Heaney, A.P. Chromogranin A Regulates Neuroblastoma Proliferation and Phenotype. Biol. Open 2019, 8. [Google Scholar] [CrossRef]
  48. Fibbi, B.; Marroncini, G.; Anceschi, C.; Naldi, L.; Peri, A. Hyponatremia and Oxidative Stress. Antioxidants 2021, 10, 11–14. [Google Scholar] [CrossRef]
  49. Hemmati, M.; Yousefi, B.; Bahar, A.; Eslami, M. Importance of Heme Oxygenase-1 in Gastrointestinal Cancers: Functions, Inductions, Regulations, and Signaling. J. Gastrointest. Cancer 2021. [Google Scholar] [CrossRef]
  50. Wang, H.; Cheng, Q.; Bao, L.; Li, M.; Chang, K.; Yi, X. Cytoprotective Role of Heme Oxygenase-1 in Cancer Chemoresistance: Focus on Antioxidant, Antiapoptotic, and Pro-Autophagy Properties. Antioxidants (Basel, Switzerland) 2023, 12. [Google Scholar] [CrossRef]
  51. Abdalla, M.Y.; Ahmad, I.M.; Rachagani, S.; Banerjee, K.; Thompson, C.M.; Maurer, H.C.; Olive, K.P.; Bailey, K.L.; Britigan, B.E.; Kumar, S. Enhancing Responsiveness of Pancreatic Cancer Cells to Gemcitabine Treatment under Hypoxia by Heme Oxygenase-1 Inhibition. Transl. Res. 2019, 207, 56–69. [Google Scholar] [CrossRef] [PubMed]
  52. Najafi, M.; Farhood, B.; Mortezaee, K. Extracellular Matrix (ECM) Stiffness and Degradation as Cancer Drivers. J. Cell. Biochem. 2019, 120, 2782–2790. [Google Scholar] [CrossRef] [PubMed]
  53. Wang, K.; Xuan, Z.; Liu, X.; Zheng, M.; Yang, C.; Wang, H. Immunomodulatory Role of Metalloproteinase ADAM17 in Tumor Development. Front. Immunol. 2022, 13, 1059376. [Google Scholar] [CrossRef] [PubMed]
  54. Holland-Bill, L.; Christiansen, C.F.; Farkas, D.K.; Donskov, F.; Jørgensen, J.O.L.; Sørensen, H.T. Diagnosis of Hyponatremia and Increased Risk of a Subsequent Cancer Diagnosis: Results from a Nationwide Population-Based Cohort Study. Acta Oncol. 2018, 57, 522–527. [Google Scholar] [CrossRef]
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Figure 1. Body weight and serum [Na+]. (a) Body weight fluctuations in the two experimental groups. Results are expressed as mean ± SE. *p≤0.05, **p≤0.02 vs T0 and #p≤0.05 vs control group. (b) Serum [Na+] (mEq/L) in control group and hyponatremic group. Results are expressed as mean ± SE. ***p≤0.002 vs control group.
Figure 1. Body weight and serum [Na+]. (a) Body weight fluctuations in the two experimental groups. Results are expressed as mean ± SE. *p≤0.05, **p≤0.02 vs T0 and #p≤0.05 vs control group. (b) Serum [Na+] (mEq/L) in control group and hyponatremic group. Results are expressed as mean ± SE. ***p≤0.002 vs control group.
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Figure 2. Analysis of tumor growth. (a) Tumor masses in control and hyponatremic groups were measured at different time points. Results are expressed as mean ± SE. *p≤0.05, ***p≤0.002 vs T0 and #p≤0.05 vs control group. (b) Representative examples, (c) weight (gr) and (d) volume (mm3) of explanted tumor masses. Results are expressed as mean ± SE. *p≤0.05, **p≤0.02 vs control group.
Figure 2. Analysis of tumor growth. (a) Tumor masses in control and hyponatremic groups were measured at different time points. Results are expressed as mean ± SE. *p≤0.05, ***p≤0.002 vs T0 and #p≤0.05 vs control group. (b) Representative examples, (c) weight (gr) and (d) volume (mm3) of explanted tumor masses. Results are expressed as mean ± SE. *p≤0.05, **p≤0.02 vs control group.
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Figure 3. Average survival. Kaplan-Meier survival analysis of control and hyponatremic mice. The bar graph shows the mean survival values. Results are expressed as mean ± SE.
Figure 3. Average survival. Kaplan-Meier survival analysis of control and hyponatremic mice. The bar graph shows the mean survival values. Results are expressed as mean ± SE.
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Figure 4. In vivo imaging. Bioluminescence imaging after intraperitoneal injection of 100 µl/10 gr Luciferin at different time points. Bar graphs represent total flux (p/s) of bioluminescence emissions of tumor masses in control group vs hyponatremic group. Results are expressed as mean ± SE. **p≤0.02 and ***p≤0.002 vs T0 and #p≤0.05 vs control group.
Figure 4. In vivo imaging. Bioluminescence imaging after intraperitoneal injection of 100 µl/10 gr Luciferin at different time points. Bar graphs represent total flux (p/s) of bioluminescence emissions of tumor masses in control group vs hyponatremic group. Results are expressed as mean ± SE. **p≤0.02 and ***p≤0.002 vs T0 and #p≤0.05 vs control group.
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Figure 5. Histological and immunohistochemical staining of tumor masses. Representative images of tumor masses sections of a control and a hyponatremic mouse. (a-b). Increased vascularization is evidenced by hematoxylin-eosin staining and immunohistochemical analysis for CD34. In the bar graphs, densitometric analysis of positive pixels of vascularization area and CD34 positive cells are represented. Results are expressed as mean ± SE. *p≤0.05, **p≤0.02 vs control group. (c) Immunohistochemical analysis of PCNA. In the bar graph, densitometric analysis of positive pixels of PCNA positive cells is represented (**p ≤ 0.02 vs control group). (d) Immunohistochemical analysis of chromogranin A. In the bar graph, densitometric analysis of positive pixels of chromogranin A positive cells is represented (***p ≤ 0.002 vs control group). (e) Immunohistochemical analysis of HMOX-1. In the bar graphs, densitometric analysis of positive pixels of HMOX-1 positive cells is represented (**p ≤ 0.02 vs control group). All results are expressed as mean ± SE.
Figure 5. Histological and immunohistochemical staining of tumor masses. Representative images of tumor masses sections of a control and a hyponatremic mouse. (a-b). Increased vascularization is evidenced by hematoxylin-eosin staining and immunohistochemical analysis for CD34. In the bar graphs, densitometric analysis of positive pixels of vascularization area and CD34 positive cells are represented. Results are expressed as mean ± SE. *p≤0.05, **p≤0.02 vs control group. (c) Immunohistochemical analysis of PCNA. In the bar graph, densitometric analysis of positive pixels of PCNA positive cells is represented (**p ≤ 0.02 vs control group). (d) Immunohistochemical analysis of chromogranin A. In the bar graph, densitometric analysis of positive pixels of chromogranin A positive cells is represented (***p ≤ 0.002 vs control group). (e) Immunohistochemical analysis of HMOX-1. In the bar graphs, densitometric analysis of positive pixels of HMOX-1 positive cells is represented (**p ≤ 0.02 vs control group). All results are expressed as mean ± SE.
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Figure 6. Metalloprotease activity. Fluorescent imaging after vein injection of 100µl MMPSenseTM probe at the day of sacrifice. Representative images of two control mice and two hyponatremic mice are shown. Bar graph represents total flux (p/s)/tumor volume (mm3) of fluorescent emissions of tumor masses in control group vs hyponatremic group. Results are expressed as mean ± SE. **p≤0.02 vs control group.
Figure 6. Metalloprotease activity. Fluorescent imaging after vein injection of 100µl MMPSenseTM probe at the day of sacrifice. Representative images of two control mice and two hyponatremic mice are shown. Bar graph represents total flux (p/s)/tumor volume (mm3) of fluorescent emissions of tumor masses in control group vs hyponatremic group. Results are expressed as mean ± SE. **p≤0.02 vs control group.
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