Home Association between SOX17, Wif-1 and RASSF1A promoter methylation status and response to chemotherapy in patients with metastatic gastric cancer
Article Open Access

Association between SOX17, Wif-1 and RASSF1A promoter methylation status and response to chemotherapy in patients with metastatic gastric cancer

  • Evangelos Karamitrousis EMAIL logo , Ioanna Balgkouranidou , Nikolaos Xenidis , Kyriakos Amarantidis , Eirini Biziota , Triantafyllia Koukaki , Gregorios Trypsianis , Anastasios Karayiannakis , Heleni Bolanaki , Ekaterini Chatzaki , Georgios Kolios , Evi Lianidou , Maria Lambropoulou and Stylianos Kakolyris
Published/Copyright: September 1, 2020

To the Editor,

Gastric cancer is one of the most frequently diagnosed cancers worldwide [1]. In 2020, it is estimated that there will be more than 27,000 new cases and more than 11,000 patients will die from the disease, in the United States [2]. A global epigenetic marker is methylation of specific DNA bases. Several genes are generally hypomethylated in cancer patients, whereas tumor suppressor genes are hypermethylated in the vast majority of cases [3]. One of the most important events in carcinogenesis is the hypermethylation of CpG islands of the promoter region of these genes [4]. This procedure may affect the function of the aforementioned genes, involved in critical cell functions, such as DNA repair, cell cycle regulation, metabolism, cell–cell interactions, angiogenesis, apoptosis etc., leading to cancer development [5]. Methylation of the promoter region of tumor suppressor genes leads to inactivation of them, whereas unmethylated promoters are considered active, so the methylation patterns of cancer cells is translated into gene expression patterns. Cell-free DNA methylation may be used for the detection of treatment resistance in cancer patients. This resistance can be due to the reversal of existent or novel DNA changes induced by drugs. In many studies, DNA methylation patterns have been evaluated as predictors of treatment response in cancer patients, including breast and colon cancer patients. The relapse of the disease after chemotherapy is likely to be due, to some extent, to changes in the methylation pattern of DNA, which are induced by chemotherapy itself. On the other hand, the relapse of the disease may be due to methylation patterns already present in the tumor before the onset of any treatment, so that specific methylation patterns cause a more aggressive phenotype with a poor response to chemotherapy [6]. SOX17 has a very important role in regulating the growth and function of progenitor cells located in bone marrow via suppression of the activation of wnt signaling pathway. It seems that methylation of this gene results in activation of the wnt signaling pathway [7]. RASSF1A gene is responsible for the production of RASSF1A protein which is involved in the regulation of microtubules, the maintenance of genomic stability, the modification of apoptosis, the mobility of cells, the regulation of cell cycle and the control of tumor infiltration [8], [9]. Wif-1 gene (wnt inhibitory factor-1) acts as an antagonist of the wnt signaling pathway and is frequently methylated in many cancer patients [10]. In the present study, we tried to analyze the promoter methylation status of tumor-suppressor genes SOX-17, Wif-1 and RASSF1A.

Our study material consisted of 105 blood samples obtained from gastric cancer patients suffering from metastatic disease. Additionally, 20 blood samples taken from healthy individuals were used as a control group. All of the patients were treated with the following chemotherapy regimen for advanced/metastatic gastric cancer: docetaxel 50–60 mg/m2, oxaliplatin 80–85 mg/m2, capecitabine 2,000 mg/m2 Q3W (TEX regimen). CpG islands in SOX17, Wif-1 and RASSF1A genes were examined by real-time sybr-green–based methylation-specific PCR. Statistical analysis of the data was performed using the Statistical Package for the Social Sciences (SPSS), version 21.0 (IBM), IBM Corp., Released 2012, Armonk, NY.

In the present group, the promoter of SOX17 gene was methylated in 61 out of 105 patients (58.1%), the promoter of the Wif-1 gene was methylated in 34 out of 105 patients (32.4%) and the promoter of the RASSF1A gene was methylated in 68 out of 105 patients (64.8%). In healthy control group, no promoters from the three genes were found to be methylated (0%). Regarding response to treatment, complete response (CR) was seen in 0 out of 105 patients (0.0%), partial response (PR) was seen in 30 out of 105 patients (28.6%), stable disease (SD) was seen in 29 out of 105 patients (27.6%) and progressive disease (PD) in 46 out of 105 patients (43.8%).

In our study, the methylation status of SOX17 gene promoter was significantly associated with response to treatment, which was a combination of docetaxel, oxaliplatin and capecitabine. More specifically: (a) of 61 patients with a methylated SOX-17 promoter, no one (0.0%) showed complete response (CR), 12 (19.7%) showed partial response (PR), 10 (16.4%) showed stable disease (SD) and 39 (63.9%) showed progressive disease (PD). (b) Of 44 patients with an unmethylated SOX-17 promoter, 18 (40.9%) showed PR, 19 (43.2%) showed SD and 7 (15.9%) showed PD. These differences were significant (p=0.000). Totally, response and/or tumor stabilization (PR + SD) was observed in 59 out of the 105 cases (56.2%) examined in our study. We combined the patterns of response and stabilization (PR + SD), as good response and we observed that 22 (37.3%) of cases had the SOX-17 gene promoter methylated and 37 (62.7%) of them had the gene promoter unmethylated (p=0.000).

An association between Wif-1 promoter methylation status and response to treatment was also observed. More specifically, 44 out of 59 patients (74.6%) who had stable disease and partial response jointly, had the gene promoter unmethylated, and this was statistically significant (p=0.002). Moreover, 27 out of 46 patients (58.7%) who had disease progression had the gene promoter of Wif-1 unmethylated, though not statistically significant (p=0.065). An association between RASSF1A promoter methylation status and response to treatment was also observed. More specifically, 35 out of 46 patients (76.1%) who had disease progression had the gene promoter of RASSF1A methylated, and this was statistically significant (p=0.025).

SOX17, Wif-1, and RASSF1A are frequently methylated genes in gastric cancer, during the evolution of carcinogenesis. These genes are major tumor suppressor genes, often methylated in gastric cancer. In the present study, we found that an unmethylated SOX17 and RASSF1A gene promoters, correlates with good response to chemotherapy and the methylated ones, correlate with poor response to chemotherapy. It therefore seems that methylation of these genes is associated with an aggressive tumor phenotype, as the majority of patients in the study who carried these two methylated gene promoters, showed an early relapse of the disease despite the administration of the standard chemotherapeutic regimen (TEX). This finding indicates that methylation of the SOX17 and RASSF1A gene promoters could potentially serve as predictive biomarkers for chemotherapy response in patients with metastatic gastric cancer, at least for those receiving the TEX regimen. Moreover, there was a tendency toward disease progression of the disease when the promoter of Wif-1 gene was unmethylated, in contrast to the results for the SOX17 and RASSF1A genes. We don’t have a clear explanation for this finding but these results are possibly indicative that Wif-1 gene may not play a crucial role at final disease stages in metastatic gastric cancer. It may be involved in carcinogenesis of the stomach at earlier stages of the disease. However, no safe considerations can be drawn, because of the relatively small size of the sample in our study. We consider these findings of interest, although more studies, with a larger number of patients, are needed to clarify whether the three genes studied could take a place as predictive biomarkers of response to chemotherapy in gastric cancer patients.


Corresponding author: Evangelos Karamitrousis, Department of Oncology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece, E-mail:

  1. Research funding: None declared.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Ethical approval: Research involving human subjects complied with all relevant national regulations, institutional policies and is in accordance with the tenets of the Helsinki Declaration (as revised in 2013), and has been approved by the authors’ Institutional Review Board.

References

1. Jemal, A, Bray, F, Center, MM, Ferlay, J, Ward, E, Forman, D. Global cancer statistics. [published correction appears in CA Cancer J Clin. 2011 Mar–Apr;61:134]. CA Cancer J Clin 2011;61:69–90. https://doi.org/10.3322/caac.20107.Search in Google Scholar

2. Siegel, RL, Miller, KD, Jemal, A. Cancer statistics, 2020. CA Cancer J Clin 2020;70:7–30. https://doi.org/10.3322/caac.21590.Search in Google Scholar

3. Esteller, M, Almouzni, G. How epigenetics integrates nuclear functions. Workshop on epigenetics and chromatin: transcriptional regulation and beyond. EMBO Rep 2005;6:624–8. https://doi.org/10.1038/sj.embor.7400456.Search in Google Scholar

4. Greger, V, Passarge, E, Höpping, W, Messmer, E, Horsthemke, B. Epigenetic changes may contribute to the formation and spontaneous regression of retinoblastoma. Hum Genet 1989;83:155–8. https://doi.org/10.1007/BF00286709.Search in Google Scholar

5. Herman, JG, Baylin, SB. Gene silencing in cancer in association with promoter hypermethylation. N Engl J Med 2003;349:2042–54. https://doi.org/10.1056/NEJMra023075.Search in Google Scholar

6. Kohler, C, Barekati, Z, Radpour, R, Zhong, XY. Cell-free DNA in the circulation as a potential cancer biomarker. Anticancer Res 2011;31:2623–8.Search in Google Scholar

7. Zhang, W, Glöckner, SC, Guo, M, Machida, EO, Wang, DH, Easwaran, H, et al. Epigenetic inactivation of the canonical Wnt antagonist SRY-box containing gene 17 in colorectal cancer. [published correction appears in Cancer Res. 2008 Jul 15;68:6030]. Cancer Res 2008;68:2764–72. https://doi.org/10.1158/0008-5472.CAN-07-6349.Search in Google Scholar

8. Ghazaleh, HA, Chow, RS, Choo, SL, Pham, D, Olesen, JD, Wong, RX, et al. 14-3-3 mediated regulation of the tumor suppressor protein, RASSF1A. Apoptosis 2010Feb;15:117–27. https://doi.org/10.1007/s10495-009-0451-6.Search in Google Scholar

9. Shivakumar, L, Minna, J, Sakamaki, T, Pestell, R, White, MA. The RASSF1A tumor suppressor blocks cell cycle progression and inhibits cyclin D1 accumulation. Mol Cell Biol 2002;22:4309–18. https://doi.org/10.1128/mcb.22.12.4309-4318.2002.Search in Google Scholar

10. Ma, K, Cao, B, Guo, M. The detective, prognostic, and predictive value of DNA methylation in human esophageal squamous cell carcinoma. Clin Epigenetics 2016;8:43. https://doi.org/10.1186/s13148-016-0210-9.Search in Google Scholar

Received: 2019-12-21
Accepted: 2020-08-17
Published Online: 2020-09-01
Published in Print: 2021-02-23

© 2020 Evangelos Karamitrousis et al., published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Assuring the quality of examinations using faecal immunochemical tests for haemoglobin (FIT)
  4. Review
  5. Capillary electrophoresis based on nucleic acid analysis for diagnosing inherited diseases
  6. Mini Reviews
  7. Negative hair test result after long-term drug use. About a case involving morphine and literature review
  8. Prorenin and active renin levels in paediatrics: a bioanalytical review
  9. Opinion Paper
  10. From therapeutic drug monitoring to total drug monitoring and drug-omics
  11. Perspectives
  12. The internal quality control in the traceability era
  13. Genetics and Molecular Diagnostics
  14. External quality assessment (EQA) and alternative assessment procedures (AAPs) in molecular diagnostics: findings of an international survey
  15. General Clinical Chemistry and Laboratory Medicine
  16. An evaluation of ten external quality assurance scheme (EQAS) materials for the faecal immunochemical test (FIT) for haemoglobin
  17. Optimizing hepcidin measurement with a proficiency test framework and standardization improvement
  18. Development of a certified reference material for anti-β2-glycoprotein I IgG – commutability studies
  19. Influence of patients’ clinical features at intensive care unit admission on performance of cell cycle arrest biomarkers in predicting acute kidney injury
  20. Efficacy of weekly administration of cholecalciferol on parathyroid hormone in stable kidney-transplanted patients with CKD stage 1–3
  21. Plasma metanephrines and prospective prediction of tumor location, size and mutation type in patients with pheochromocytoma and paraganglioma
  22. Emicizumab, the factor VIII mimetic bi-specific monoclonal antibody and its measurement in plasma
  23. Reference Values and Biological Variations
  24. Age appropriate reference intervals for eight kidney function and injury markers in infants, children and adolescents
  25. Cardiovascular Diseases
  26. Comparison of acetylsalicylic acid and clopidogrel non-responsiveness assessed by light transmittance aggregometry and PFA-100® in patients undergoing neuroendovascular procedures
  27. Trimethylamine-N-oxide (TMAO) predicts short- and long-term mortality and poor neurological outcome in out-of-hospital cardiac arrest patients
  28. Non-lactate strong ion difference and cardiovascular, cancer and all-cause mortality
  29. Infectious Diseases
  30. Performance of three automated SARS-CoV-2 antibody assays and relevance of orthogonal testing algorithms
  31. Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
  32. Searching for a role of procalcitonin determination in COVID-19: a study on a selected cohort of hospitalized patients
  33. Association of kidney function with effectiveness of procalcitonin-guided antibiotic treatment: a patient-level meta-analysis from randomized controlled trials
  34. Erratum
  35. Corrigendum to: The role of hyperhomocysteinemia as well as folate, vitamin B6 and B12 deficiencies in osteoporosis – a systematic review
  36. Letter to the Editors
  37. Harmonization of antineutrophil cytoplasmic antibodies (ANCA) testing by reporting test result-specific likelihood ratios: position paper
  38. Independent internal quality control (IQC) for faecal immunochemical tests (FIT) for haemoglobin: use of FIT manufacturers’ IQC for other FIT systems
  39. Parallel testing of 241 clinical nasopharyngeal swabs for the detection of SARS-CoV-2 virus on the Cepheid Xpert Xpress SARS-CoV-2 and the Roche cobas SARS-CoV-2 assays
  40. Sustained SARS-CoV-2 nucleocapsid antibody levels in nonsevere COVID-19: a population-based study
  41. Evidence for increased circulating procoagulant phospholipids in patients with COVID-19 pneumonia and their prognostic role
  42. Complete blood counts and cell population data from Sysmex XN analyser in the detection of SARS-CoV-2 infection
  43. Macro creatine kinase in an asymptomatic patient: a case report
  44. Implementation of pre-labelled barcode tubes and the GeT-System in a general hospital for the exact documentation of the time of venous blood sample and improvement of sample quality
  45. Determination of free light chains: assay-dependent differences in interpretation
  46. Association between SOX17, Wif-1 and RASSF1A promoter methylation status and response to chemotherapy in patients with metastatic gastric cancer
  47. Effect of two organizational interventions on the frequency of haemoglobin A1c and erythrocyte sedimentation rate testing
  48. Haemoglobin A1c determination from dried blood spots prepared with HemaSpot™ blood collection devices: comparison with fresh capillary blood
  49. Stability of catecholamines in whole blood: influence of time between collection and centrifugation
Downloaded on 8.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cclm-2020-0662/html
Scroll to top button