Wei Zhuang, Minju Jo, Haibo Qiu, Wanlong Lin, Min Huang, Xueding Wang
{"title":"ETV1基因多态性作为胃肠道间质瘤的候选预后生物标志物。","authors":"Wei Zhuang, Minju Jo, Haibo Qiu, Wanlong Lin, Min Huang, Xueding Wang","doi":"10.1007/s00280-025-04789-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>While imatinib is effective for treating Gastrointestinal Stromal Tumors (GISTs), significant variability in patient outcomes exists, highlighting the need for reliable prognostic biomarkers. ETV1, a key transcription factor involved in GIST progression, is implicated in disease biology, but the role of ETV1-related single nucleotide polymorphisms (SNPs) in predicting prognosis remains unclear.</p><p><strong>Methods: </strong>This study included 75 GIST patients. We focused on identifying tag SNPs in the ETV1 gene and examined their association with clinical outcomes. Patient characteristics, somatic mutations, and imatinib concentration were also analyzed in a multivariate model. ETV1 expression was assessed using immunohistochemistry, and miRNA interactions with ETV1 transcripts were investigated via the dual-luciferase reporter assay system.</p><p><strong>Results: </strong>We found that the rs3735343 SNP, located in the 3' untranslated region of ETV1, was significantly associated with progression-free survival (PFS) in GIST patients receiving imatinib (P = 0.008). Multivariate analysis identified tumor size (P = 0.032, Hazard Ratio [HR] = 4.173, 95% CI: 1.127-15.454) and rs3735343 (P = 0.009, HR = 8.995, 95% CI: 1.712-47.255) as independent predictors of PFS. The rs3735343 risk allele also correlated with elevated ETV1 expression in GIST tissue (P = 0.04). Additionally, miR-4311 was found to specifically and negatively regulate ETV1 mRNA levels associated with the rs3735343 risk allele in vitro.</p><p><strong>Conclusion: </strong>This study reported ETV1 rs3735343 as a novel prognostic candidate biomarker for GISTs treated with Imatinib, providing a potential biomarker for risk assessment of GIST. Additionally, our findings suggest that rs3735343 may act as a miRNA-regulated SNP, with miR-4311 playing a key role in its regulation.</p>","PeriodicalId":9556,"journal":{"name":"Cancer Chemotherapy and Pharmacology","volume":"95 1","pages":"68"},"PeriodicalIF":2.7000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ETV1 genetic polymorphisms as a candidate prognosis biomarker of Gastrointestinal stromal tumor.\",\"authors\":\"Wei Zhuang, Minju Jo, Haibo Qiu, Wanlong Lin, Min Huang, Xueding Wang\",\"doi\":\"10.1007/s00280-025-04789-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>While imatinib is effective for treating Gastrointestinal Stromal Tumors (GISTs), significant variability in patient outcomes exists, highlighting the need for reliable prognostic biomarkers. ETV1, a key transcription factor involved in GIST progression, is implicated in disease biology, but the role of ETV1-related single nucleotide polymorphisms (SNPs) in predicting prognosis remains unclear.</p><p><strong>Methods: </strong>This study included 75 GIST patients. We focused on identifying tag SNPs in the ETV1 gene and examined their association with clinical outcomes. Patient characteristics, somatic mutations, and imatinib concentration were also analyzed in a multivariate model. ETV1 expression was assessed using immunohistochemistry, and miRNA interactions with ETV1 transcripts were investigated via the dual-luciferase reporter assay system.</p><p><strong>Results: </strong>We found that the rs3735343 SNP, located in the 3' untranslated region of ETV1, was significantly associated with progression-free survival (PFS) in GIST patients receiving imatinib (P = 0.008). Multivariate analysis identified tumor size (P = 0.032, Hazard Ratio [HR] = 4.173, 95% CI: 1.127-15.454) and rs3735343 (P = 0.009, HR = 8.995, 95% CI: 1.712-47.255) as independent predictors of PFS. The rs3735343 risk allele also correlated with elevated ETV1 expression in GIST tissue (P = 0.04). Additionally, miR-4311 was found to specifically and negatively regulate ETV1 mRNA levels associated with the rs3735343 risk allele in vitro.</p><p><strong>Conclusion: </strong>This study reported ETV1 rs3735343 as a novel prognostic candidate biomarker for GISTs treated with Imatinib, providing a potential biomarker for risk assessment of GIST. Additionally, our findings suggest that rs3735343 may act as a miRNA-regulated SNP, with miR-4311 playing a key role in its regulation.</p>\",\"PeriodicalId\":9556,\"journal\":{\"name\":\"Cancer Chemotherapy and Pharmacology\",\"volume\":\"95 1\",\"pages\":\"68\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Chemotherapy and Pharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00280-025-04789-2\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Chemotherapy and Pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00280-025-04789-2","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
ETV1 genetic polymorphisms as a candidate prognosis biomarker of Gastrointestinal stromal tumor.
Purpose: While imatinib is effective for treating Gastrointestinal Stromal Tumors (GISTs), significant variability in patient outcomes exists, highlighting the need for reliable prognostic biomarkers. ETV1, a key transcription factor involved in GIST progression, is implicated in disease biology, but the role of ETV1-related single nucleotide polymorphisms (SNPs) in predicting prognosis remains unclear.
Methods: This study included 75 GIST patients. We focused on identifying tag SNPs in the ETV1 gene and examined their association with clinical outcomes. Patient characteristics, somatic mutations, and imatinib concentration were also analyzed in a multivariate model. ETV1 expression was assessed using immunohistochemistry, and miRNA interactions with ETV1 transcripts were investigated via the dual-luciferase reporter assay system.
Results: We found that the rs3735343 SNP, located in the 3' untranslated region of ETV1, was significantly associated with progression-free survival (PFS) in GIST patients receiving imatinib (P = 0.008). Multivariate analysis identified tumor size (P = 0.032, Hazard Ratio [HR] = 4.173, 95% CI: 1.127-15.454) and rs3735343 (P = 0.009, HR = 8.995, 95% CI: 1.712-47.255) as independent predictors of PFS. The rs3735343 risk allele also correlated with elevated ETV1 expression in GIST tissue (P = 0.04). Additionally, miR-4311 was found to specifically and negatively regulate ETV1 mRNA levels associated with the rs3735343 risk allele in vitro.
Conclusion: This study reported ETV1 rs3735343 as a novel prognostic candidate biomarker for GISTs treated with Imatinib, providing a potential biomarker for risk assessment of GIST. Additionally, our findings suggest that rs3735343 may act as a miRNA-regulated SNP, with miR-4311 playing a key role in its regulation.
期刊介绍:
Addressing a wide range of pharmacologic and oncologic concerns on both experimental and clinical levels, Cancer Chemotherapy and Pharmacology is an eminent journal in the field. The primary focus in this rapid publication medium is on new anticancer agents, their experimental screening, preclinical toxicology and pharmacology, single and combined drug administration modalities, and clinical phase I, II and III trials. It is essential reading for pharmacologists and oncologists giving results recorded in the following areas: clinical toxicology, pharmacokinetics, pharmacodynamics, drug interactions, and indications for chemotherapy in cancer treatment strategy.