Identification and verification of the prognostic value of the glutathione S-transferase Mu genes in gastric cancer
| العنوان: | Identification and verification of the prognostic value of the glutathione S-transferase Mu genes in gastric cancer |
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| المؤلفون: | Bo-Pei Li, Jin-Lu Liu, Junfu Wang, Xiwen Liao, Yeyang Chen, Yuan-Tian Mao, Jun-Qiang Chen, Zhen Wang, Siyu Liu |
| المصدر: | Oncology Letters |
| بيانات النشر: | D.A. Spandidos, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 0301 basic medicine, Cancer Research, Oncogene, Angiogenesis, glutathione S-transferase Mu, gastric cancer, The Cancer Genome Atlas, Articles, Cell cycle, Biology, medicine.disease, Molecular medicine, Hedgehog signaling pathway, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Oncology, 030220 oncology & carcinogenesis, medicine, Cancer research, Biomarker (medicine), biomarker, Gastrointestinal cancer, prognosis, Gene |
| الوصف: | Gastric cancer (GC) is one of the most frequently diagnosed gastrointestinal cancer types in the world. Novel prognostic biomarkers are required to predict the progression of GC. Glutathione S-transferase Mu (GSTM) belongs to a family of phase II enzymes that have been implicated in a number of cancer types. However, the prognostic value of the GSTM genes has not been previously investigated in GC. The Cancer Genome Atlas (TCGA) was used to evaluate mRNA expression levels of GSTMs in GC tissue samples. Overall survival (OS) rates, hazard ratios (HRs) and 95% CIs were calculated using the Cox logistic regression model and Kaplan-Meier (KM) analysis was performed. In addition, the KM plotter online database was used to validate mRNA expression and the prognostic value of GSMT family members in patients with GC. To predict the function of GSTM genes in these patients, several bioinformatics tools, including the Database for Annotation, Visualization and Integrated Discovery, gene multiple association network integration algorithm, Search Tool for the Retrieval of Interacting Genes/Proteins, Gene Set Enrichment Analysis (GSEA), nomogram and genome-wide co-expression analysis were used. In the present study, high expression of GSTM5 was indicated to be strongly associated with lower OS in patients with GC, according to the TCGA and KM plotter online databases (HR=1.47, 95% CI: 1.06-2.04, P=0.021; and HR=1.69, 95% CI: 1.42-2.01, P=1.6×10-9, respectively). The results from the GSEA and genome-wide co-expression analysis indicated that GSTM5 expression associated with several biological process terms, including 'adhesion', 'angiogenesis', 'apoptotic process', 'cell growth', 'proliferation', 'migration', 'Hedgehog signaling', 'MAPK signaling' and the 'TGF-β signaling pathway'. In conclusion, the present results indicated that GSTM5 may serve as a biomarker for GC prognosis and may be a potential therapeutic target for GC. |
| اللغة: | English |
| تدمد: | 1792-1082 1792-1074 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06ed4cd73f0b2d2dbd6a1274076c28d2 http://europepmc.org/articles/PMC7439103 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....06ed4cd73f0b2d2dbd6a1274076c28d2 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17921082 17921074 |
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