Abstract
Malignant melanoma is a highly malignant tumor originating from the melanocytes of the neural crest, which is prone to metastasis and has a poor prognosis. Previous research demonstrated that melanoma inhibitory activity (MIA) and lactate dehydrogenase (LDH) could serve as serum markers in malignant melanoma and indicate prognosis in the Caucasian race. Researchers suspected that both MIA and LDH could prompt the prognosis of malignant melanoma in the Chinese population. This study aimed to investigate the value of MIA and LDH in the prognosis of acral malignant melanoma.
From January 1, 2014, to December 31, 2017, in Jiangsu Province, 44 acral malignant melanoma patients with complete data were chosen from the clinic. The LDH levels were extracted from their clinical data, and MIA levels were measured by enzyme-linked immunosorbent assay method. 8 paired advancing samples before and after metastasis were examined. 22 health donors were matched to the patient group. Receiver operating characteristic (ROC) curves of MIA and LDH were drawn to determine acral malignant melanoma tumorigenesis and metastasis and finally got the cut-off value. Cumulative survival was illustrated with the Kaplan-Meier plot, and factors were compared using the Log-rank test.
Compared with age-matched healthy donors, MIA was significantly high in patients (P < .001). Moreover, serum MIA was significantly higher in III-IV stage patients than I-II stage patients (P < .001). However, there was no such association between LDH and melanoma stage and risk. Further study indicated that the MIA cut-off > 914.7pg/mL predicted disease progression with 86.4% specificity and 95.5% sensitivity. In the Kaplan-Meier analysis, MIA levels were independent risk factors for long-term mortality of acral malignant melanoma patients.
It concluded that the quantification of MIA in the serum should be performed as a general standard of care in patients at risk of developing metastatic melanoma.
Keywords: lactate dehydrogenase, malignant melanoma, melanoma inhibitory activity, prognostic factor
1. Introduction
Malignant melanoma is a highly malignant tumor originating from the neural crest melanocytes, well-known for its high invasion and grim prognosis.[1] In recent years, scientists have tried various new methods to judge the prognosis of tumors, including NGS Data,[2] Raman-Enhanced Spectroscopy (RESpect) Probe,[3] Ultrasound Analysis,[4] and tumor markers. A tumor marker is a biomarker found in blood, urine, or body tissue that can be elevated by the presence of 1 or more types of cancer. The development of any cancer resulted from various factors, including changes at a molecular level.[5,6] There are no precise biomarkers related to prognosis in melanoma; two biomarkers that may be related to the prognosis are melanoma inhibitory activity (MIA) and lactate dehydrogenase (LDH).
MIA was highly expressed in malignant melanocytes specifically. It is an 11 kDa protein that is strongly expressed and subsequently exocytosed by melanoma cells but not benign melanocytes.[7] MIA interacts with MIA-interacting peptide ligands and fibronectin on the cell surface, which eventually induces migration of the melanoma cell.[8] So far, studies in many countries have been conducted to verify the relationship between MIA and melanoma. However, research on the relationship between MIA levels and Chinese acral malignant melanoma patients is still blank.
LDH, an enzyme in the glycolytic pathway that converts pyruvate to lactate during hypoxia, is closely related to the occurrence, proliferation, and metastasis of several cancers.[9] The latest American Joint Committee on Cancer melanoma TNM staging system recommends that metastatic melanoma patients be tested for LDH levels. The guidelines believe that LDH can be used as a serum marker to predict patients’ prognosis with metastatic melanoma.[1]
There have been long efforts to find effective(practical) markers to predict tumor recurrence and metastasis. MIA and LDH are proteins whose serum concentrations sensitively alter in response to the development and metastasis of melanoma, which have been widely studied and have been applied in clinical practice in the Caucasian race.[10–14] However, in the Chinese race, the relevant data is still blank.
The purpose of the retrospective study was to evaluate the clinical value of 2 serological markers in melanoma: MIA and LDH. Serum MIA and LDH levels were measured in 22 I-II stage melanoma patients, 22 III-IV stage melanoma patients, and 22 health donors during follow-up for up to 3 years. Researchers gathered the information of disease stage and progression, presence and number of metastases, and overall survival (OS) for Statistical Analysis.
2. Materials and methods
2.1. Patient cohorts
All serum samples were obtained in acral malignant melanoma patients from the Department of Plastic and Burns Surgery and the Department of Oncology at the First Affiliated Hospital of Nanjing Medical University. The investigation was approved by the Helsinki Committee of the First Affiliated Hospital of Nanjing Medical University. All cases were confirmed by histopathology as melanoma and without other cancer, and no chemotherapy or radiotherapy history before inclusion in the study. 22 samples of age and sex-matched healthy donors were also collected in the survey. The definition of healthy donors were individuals who were free from cancer.
Researchers also evaluated changes in serum MIA and LDH in 8 patients with metastasis compared to their original levels (no metastasis period). The blood samples were gathered from patients at the first time of diagnosis. The patients were asked to review when the disease progress or at least once every 3 months. Blood samples were collected in tubes containing Ethylene Diamine Tetraacetic Acid and centrifuged for 5 minutes at 3000 rpm and the plasma samples were stored at -80°C until used.
2.2. Serum assays
Serum levels of MIA (R&D Systems, Quantikine, Human MIA) was evaluated with enzyme linked immunosorbent assays kits according to the manufacturers’ instructions. Clinical data of patients with LDH tested on their admission before and after tumor metastasis. These data were extracted and analyzed for tumor prognosis and survival situation.
2.3. Statistical analysis
Statistical analysis was conducted using SPSS 20.0 and Graphpad Prism 7.0 software. Numerical variables were presented as medians and interquartile ranges and categorical variables were shown as frequencies and percentages. Differences of measurement data and enumeration data were compared with Mann–Whitney U test and Kruskal-Wallis test respectively, and the correlation between groups was evaluated using the Spearman test. The sensitivity and specificity for MIA and LDH to predict disease progression were assessed by receiver operating characteristic (ROC) curves. To determine the risk of MIA or LDH for mortality in melanoma patients, the Kaplan-Meier plot was used to illustrate cumulative survival and the Log-rank test was performed to eliminate confounding factors. P < .05 was considered as statistically significant.
3. Results
The overall design and flowchart of this research is shown in Figure 1. Selected characteristics of the cases and controls are presented in Table 1. There was no difference among the I-II stage patients, III-IV stage patients, and the healthy donors in terms of gender and age. According to t test, neither MIA nor LDH were associated with age or gender (Fig. 2). All samples were run with no dilution. To verify the reproducibility of the assay, blood samples were all ran in duplicate. The mean level of MIA in III-IV stage melanoma patients was 1274.6 ± 175.1pg/ml, in I-II stage melanoma patients was 735.1 ± 184.9 pg/mL, and in healthy donors was 615.6 ± 169.6 pg/mL. Mean level of LDH from clinical data in III-IV stage melanoma patients was 212 ± 80.1 UI/L, in I-II stage melanoma patients was 192 ± 47.9 UI/L, and in health donors was 210 ± 83.8 UI/L (Table 2).
Figure 1.

Overall design of the present research.
Table 1.
Clinical characteristics of melanoma patients included in this study.
| Stage I/II disease (N = 22) | Stage III/IV disease (N = 22) | Healthy donors (N = 22) | P value | |
| Age(mean ± SD) | 62.1 ± 14.0 | 60.1 ± 15.7 | 61.0 ± 11.0 | .971 |
| Gender (male) | 14 (63.6%) | 11(50.0%) | 12 (54.5%) | .651 |
| Race (Chinese population) | 22 (100%) | 22 (100%) | 22 (100%) | 1.001 |
1 Kruskal-Wallis test.
SD = standard deviation.
Figure 2.

Comparison of age with no metastasis melanoma patients, metastasis melanoma patients, and health donors (A). Correlation between MIA and LDH(B). Comparison of MIA values with age(C) and gender (D). Comparison of LDH values with age (E) and gender (F).
Table 2.
Serum marker levels in melanoma subgroups. (Mean±SD).
| Serum marker | Stage I/II disease | Stage III/IV disease | Healthy donors | P value |
| MIA (pg/ml) | 735.1 ± 184.9 | 1274.6 ± 175.1 | 615.6 ± 169.6 | <0.00011 |
| LDH (UI/L) | 192 ± 47.9 | 212 ± 80.1 | 210 ± 83.8 | .891 |
| Number | 22 | 22 | 22 |
1Kruskal-Wallis test.
LDH = lactate dehydrogenase, MIA = melanoma inhibitory activity, SD = standard deviation.
Significantly higher concentrations of MIA were found in III-IV stage patients than in I-II stage melanoma patients (Fig. 3A). However, there was no significant difference between the level of LDH in III-IV stage and I-II stage melanoma patients (Fig. 3C). Similarly, the MIA levels of I-II stage patients were also significantly higher than those of the healthy donors, while the level of LDH had no significant difference (Figure 3B, D).
Figure 3.

Comparison of MIA values with no metastasis patients and metastasis patients (A), no metastasis patients, and health donors (B). Comparison of LDH values with no metastasis patients and metastasis patients (C), no metastasis patients and health donors (D). Comparison of MIA changes in 8 patients with melanoma before and after metastasis (E). Comparison of LDH changes in 8 patients with melanoma before and after metastasis (F).
The changes in MIA and LDH levels for eight patients who ultimately developed hepatic or lung metastases were illustrated in Table 3. Compared to the serum level of MIA before metastasis, the level of MIA elevated significantly, but there was no statistical difference in LDH (Fig. 3E, F).
Table 3.
Serum marker levels in Stage I/II no metastasis patients after advancing.
| Serum marker | Stage I/II disease | Stage I/II disease after advancing | P value |
| MIA (pg/ml) | 738.9 ± 113.5 | 1169.2 ± 157.6 | .00111 |
| LDH (UI/L) | 188 ± 35.8 | 250 ± 85.3 | .101 |
| Number | 8 | 8 |
1Mann–Whitney U test.
LDH = lactate dehydrogenase, MIA = melanoma inhibitory activity.
ROC curves were applied to compare the marker levels of III-IV stage patients to I-II stage patients. The area under concentration curve (AUC) of MIA was 0.973 with 95.5% sensitivity and 86.4% specificity (cut-off value: 914.7 pg/mL); The AUC of LDH was 0.54 with 22.7% sensitivity and 95.5% specificity (cut-off value: 285.5UI/L). Additionally, ROC analysis was also conducted for marker levels of melanoma patients compared to healthy donors. The AUC of MIA was 0.836 with 72.7% sensitivity and 81.8% specificity (cut-off value: 731.3pg /ml); The AUC of LDH was 0.494 with 54.5% sensitivity and 54.5% specificity (cut-off value: 188.0UI/L). The comparisons were shown in Figure 4.
Figure 4.

ROC curve analysis: LDH cutoff point between melanoma patients in Stage I/II disease and patients in stage III/IV disease (A), MIA cutoff point between melanoma patients in Stage I/II disease and patients in stage III/IV disease (B), LDH cutoff point between patients with melanoma or not (C), MIA cutoff point between patients with melanoma or not (D).
To determine whether MIA or LDH values have associations with the prognosis of patients, the Kaplan-Meier survival estimates were applied. MIA affected prognosis. The median survival of patients with MIA ≥ 914.7 pg/mL was 22 months, which was 28 months of patients with MIA < 914.7 pg/mL (P = .002, HR = 0.2223, 95% CI: 0.08577–0.5762, Fig. 5A). However, LDH did not affect prognosis, there was no statistically significance of median survival data between patients with LDH≥ 285.5UI/L or below (P = .07, HR = 0.1625, 95% CI: 0.02274–1.161, Fig. 5B).
Figure 5.

Factors associated with mortality (Kaplan-Meier survival estimates): Kaplan-Meier survival estimates according to whether MIA greater than or equal to 914.7pg/ml; According to the cutoff value, 25 patients were classified as MIA high group and 19 patients were classified as MIA normal group (A). Kaplan-Meier survival estimates according to whether LDH greater than or equal to 285.5UI/L; According to the cutoff value, 8 patients were classified as LDH high group, and 36 patients were classified as LDH normal group (B).
4. Discussion
The clinical classification of malignant melanoma is divided into 4 types: superficial spreading melanoma, nodular melanoma, acral lentiginous melanoma, and lentigo maligna melanoma. Melanoma, whose incidence has been increasing steadily over the past 30 years, is a kind of tumor with inadequate response to chemotherapy and radiation therapy.[15,16] Malignant melanoma has a grim prognosis after the onset of metastasis. Given the higher survival rate of melanoma when early detection of the disease occurs, accurate diagnostic tests for early detection of melanoma will be beneficial. Besides, as mortality increases dramatically and the disease develops rapidly, it is necessary to find reliable tumor markers to detect melanoma metastasis and monitor responses to therapy.[17]
In previous clinical research, Researchers found that the proportion of pathological type in melanoma results from race difference.[1,18,19] Moreover, the proportion of pathological types of melanoma among different races varies.[20,21] The researchers designed this experiment to verify whether serum markers such as MIA and LDH can play a role in prompting metastasis and prognosis in Chinese races.
It has been reported that serum LDH was valuable in diagnosing tumors and predicting the progression of many cancer types, such as lung cancer, breast cancer, and prostate cancer.[22–24] In recent years, many studies focused on the diagnosis and prognostic value of LDH on melanoma. Wagner et al observed that LDH might be an independent prognostic factor for response to anti-PD-1 or combined anti-PD-1 plus anti-CTLA-4 antibodies therapy and OS of melanoma patients.[25] Moreover, Kelderman et al found that for melanoma patients whose serum LDH level is more significant than twice the upper limit of normal, long-term treatment with ipilimumab may not benefit.[26] To conclude, LDH has certain predictive value for the treatment and prognosis of patients with malignant melanoma. Our study also performed Kaplan-Meier survival analysis based on patients’ LDH levels, but did not find a relationship between LDH levels and prognosis. This result may be due to the small sample size of patients included in this study. Only 8 patients were included in the LDH high group, which caused statistical errors.
In 1989, MIA was first isolated from malignant melanoma cells and has been extensively studied for the value of treatment and prognosis of malignant melanoma.[27] A study conducted by Hofmann et al demonstrated that patients with higher serum MIA concentration had worse disease-free survival and OS.[28] Odashiro et al measured serum MIA levels in patients with metastatic malignant melanoma, non-metastatic malignant melanoma, and healthy controls, respectively. No significant difference in serum levels of MIA between healthy controls and non-metastatic malignant melanoma was obtained in our study. Still, the difference in MIA expression was statistically significant in the healthy control group and metastatic malignant melanoma group, non-metastatic and metastatic malignant melanoma group.[29] Tas et al observed that there was a trend for worsened prognosis in patients with rising MIA level.[30]
All the studies above have shown that MIA may be a prognostic marker for malignant melanoma. Therefore, our hypothesis, which we have confirmed through this study, was that MIA serum levels were statistically significantly elevated in patients with metastatic melanoma. As a potential biomarker for metastasis, the specificity was 86.4%, and sensitivity was 95.5%. This indicates that MIA as a serum marker also plays a role in predicting the pathogenesis and metastasis of malignant melanoma in the Chinese population.
There are still several shortcomings in this article. For a serum marker for multiple tumors, LDH is thought to have the function of predicting tumor prognosis,[31] but in this study there was no significant difference in serum levels in the I-II stage group, III-IV stage group, and healthy control group. The effects of LDH levels on prognosis in melanoma patients were not statistically different. This may be due to the low sample size included in this study. Especially in the study, samples of LDH high group were only 8, which led to a statistical error in the results. Several problems were also found in the research that experimental results showed the level of MIA in Chinese melanoma patients is much lower than that in Caucasians in the same experiment. Researchers duplicated the experiment, tried to dilute the sample, and got the same result. This diversity may due to the differences in MIA concerned gene involved in the development of melanoma among different races. This conjecture requires further molecular mechanism experiments and larger sample clinical data collection to verify. According to clarify the molecular mechanisms of differential genes, the pathogenesis between different pathological types in melanoma can be understood.
Author contributions
Data curation: Jun Xu, Anjing Ren, Yu Lin.
Funding acquisition: Chujun Li.
Investigation: Chujun Li, Jinfang Liu.
Methodology: Chujun Li, Lu Jiang.
Project administration: Chujun Li.
Resources: Chujun Li, Gang Yao.
Software: Chujun Li.
Supervision: Gang Yao.
Writing – original draft: Chujun Li, Lu Jiang.
Writing – review & editing: Chujun Li, Jinfang Liu.
Footnotes
Abbreviations: AUC = the area under concentration curve, LDH = lactate dehydrogenase, MIA = melanoma inhibitory activity, OS = overall survival.
How to cite this article: Li C, Liu J, Jiang L, Xu J, Ren A, Lin Y, Yao G. The value of melanoma inhibitory activity and LDH with melanoma patients in a Chinese population. Medicine. 2021;100:8(e24840).
CL, JL, and LJ authors contributed equally to this work.
This study was partially supported by the Jiangsu Women and Children Health Hospital The Youth Talent Launch Fund (FYRC202007).
The authors have no conflicts of interest to disclose.
Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
References
- [1].Gershenwald JE, Scolyer RA, Hess KR, et al. Melanoma staging: evidence-based changes in the American Joint Committee on Cancer eighth edition cancer staging manual. CA Cancer J Clin 2017;67:472–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].Kosvyra A, Maramis C, Chouvarda I. Developing an integrated genomic profile for cancer patients with the use of NGS data. Emerg Sci J 2019;3:157–67. [Google Scholar]
- [3].Agsalda-Garcia M, Shieh T, Souza R, et al. Raman-Enhanced Spectroscopy (RESpect) Probe for Childhood Non-Hodgkin Lymphoma. SciMedicine Journal 2020;2:1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Hambardzumyan M, Hayrapetyan A. Differential diagnosis of malignant melanoma and benign cutaneous lesions by ultrasound analysis. SciMedicine Journal 2020;2:100–7. [Google Scholar]
- [5].Shay JW. New insights into melanoma development. Science (New York, NY) 2017;357:1358–9. [DOI] [PubMed] [Google Scholar]
- [6].Zare H. Effects of salvia officinalis extract on the breast cancer cell line. SciMedicine Journal 2019;1:25–9. [Google Scholar]
- [7].Riechers A, Bosserhoff AK. Melanoma inhibitory activity in melanoma diagnostics and therapy - a small protein is looming large. Exp Dermatol 2014;23:12–4. [DOI] [PubMed] [Google Scholar]
- [8].Schmidt J, Riechers A, Stoll R, et al. Targeting melanoma metastasis and immunosuppression with a new mode of melanoma inhibitory activity (MIA) protein inhibition. PloS One 2012;7:e37941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Huang L, Sim A, Wu Y, et al. Lactate dehydrogenase kinetics predict chemotherapy response in recurrent metastatic nasopharyngeal carcinoma. Ther Adv Med Oncol 2020;12:1758835920970050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Kluger HM, Hoyt K, Bacchiocchi A, et al. Plasma markers for identifying patients with metastatic melanoma. Clin Cancer Res 2011;17:2417–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Klingenstein A, Haritoglou I, Schaumberger MM, et al. Receiver operating characteristic analysis: calculation for the marker ’melanoma inhibitory activity’ in metastatic uveal melanoma patients. Melanoma Res 2011;21:352–6. [DOI] [PubMed] [Google Scholar]
- [12].Reiniger IW, Schaller UC, Haritoglou C, et al. Melanoma inhibitory activity” (MIA): a promising serological tumour marker in metastatic uveal melanoma. Graefe's Arch Clin Exp Ophthalmol 2005;243:1161–6. [DOI] [PubMed] [Google Scholar]
- [13].Garnier JP, Letellier S, Cassinat B, et al. Clinical value of combined determination of plasma L-DOPA/tyrosine ratio, S100B, MIA and LDH in melanoma. Eur J Cancer 2007;43:816–21. [DOI] [PubMed] [Google Scholar]
- [14].Henry L, Fabre C, Guiraud I, et al. Clinical use of p-proteasome in discriminating metastatic melanoma patients: comparative study with LDH, MIA and S100B protein. International journal of cancer. Int J Cancer 2013;133:142–8. [DOI] [PubMed] [Google Scholar]
- [15].McQuade JL, Daniel CR, Hess KR, et al. Association of body-mass index and outcomes in patients with metastatic melanoma treated with targeted therapy, immunotherapy, or chemotherapy: a retrospective, multicohort analysis. Lancet Oncol 2018;19:310–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [16].Shi W. Role for radiation therapy in melanoma. Surg Oncol Clin N Am 2015;24:323–35. [DOI] [PubMed] [Google Scholar]
- [17].Ross CL, Kaushik S, Valdes-Rodriguez R, et al. MicroRNAs in cutaneous melanoma: role as diagnostic and prognostic biomarkers. J Cell Physiol 2018;233:5133–41. [DOI] [PubMed] [Google Scholar]
- [18].Shields CL, Kaliki S, Cohen MN, et al. Prognosis of uveal melanoma based on race in 8100 patients: The 2015 Doyne Lecture. Eye (London, England) 2015;29:1027–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Ward-Peterson M, Acuna JM, Alkhalifah MK, et al. Association between race/ethnicity and survival of melanoma patients in the United States over 3 Decades: a secondary analysis of SEER Data. Medicine 2016;95:e3315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Gowen MF, Giles KM, Simpson D, et al. Baseline antibody profiles predict toxicity in melanoma patients treated with immune checkpoint inhibitors. J Transl Med 2018;16:82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Tomizuka T, Namikawa K, Higashi T. Characteristics of melanoma in Japan: a nationwide registry analysis 2011-2013. Melanoma Res 2017;27:492–7. [DOI] [PubMed] [Google Scholar]
- [22].Brown JE, Cook RJ, Lipton A, et al. Serum lactate dehydrogenase is prognostic for survival in patients with bone metastases from breast cancer: a retrospective analysis in bisphosphonate-treated patients. Clin Cancer Res 2012;18:6348–55. [DOI] [PubMed] [Google Scholar]
- [23].Fiala O, Pesek M, Finek J, et al. Change in serum lactate dehydrogenase is associated with outcome of patients with advanced-stage NSCLC treated with Erlotinib. Anticancer Res 2016;36:2459–65. [PubMed] [Google Scholar]
- [24].Zhang J, Yao YH, Li BG, et al. Prognostic value of pretreatment serum lactate dehydrogenase level in patients with solid tumors: a systematic review and meta-analysis. Sci Rep 2015;5:9800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Wagner NB, Forschner A, Leiter U, et al. S100B and LDH as early prognostic markers for response and overall survival in melanoma patients treated with anti-PD-1 or combined anti-PD-1 plus anti-CTLA-4 antibodies. Br J Cancer 2018;119:339–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Kelderman S, Heemskerk B, van Tinteren H, et al. Lactate dehydrogenase as a selection criterion for ipilimumab treatment in metastatic melanoma. Cancer Immunol Immunother 2014;63:449–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Bogdahn U, Apfel R, Hahn M, et al. Autocrine tumor cell growth-inhibiting activities from human malignant melanoma. Cancer Res 1989;49:5358–63. [PubMed] [Google Scholar]
- [28].Hofmann MA, Gussmann F, Fritsche A, et al. Diagnostic value of melanoma inhibitory activity serum marker in the follow-up of patients with stage I or II cutaneous melanoma. Melanoma Res 2009;19:17–23. [DOI] [PubMed] [Google Scholar]
- [29].Odashiro M, Hans Filho G, Pereira PR, et al. Melanoma inhibitory activity in Brazilian patients with cutaneous melanoma. Anais brasileiros de dermatologia 2015;90:327–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Tas F, Yasasever V, Duranyildiz D, et al. Clinical value of protein S100 and melanoma-inhibitory activity (MIA) in malignant melanoma. Am J Clin Oncol 2004;27:225–8. [DOI] [PubMed] [Google Scholar]
- [31].Mishra D, Banerjee D. Lactate dehydrogenases as metabolic links between tumor and stroma in the tumor microenvironment. Cancers 2019;11: [DOI] [PMC free article] [PubMed] [Google Scholar]
