Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer
Abstract Gastric cancer (GC) is a common malignant tumor, which originated from the epithelial cells of the stomach. It has the characteristics of high incidence and poor prognosis. Therefore, it is urgent to find new prognostic markers for the diagnosis and treatment of GC. Download gene expression...
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Springer
2025-02-01
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Online Access: | https://doi.org/10.1007/s12672-025-01907-7 |
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author | Yangyang Xiao Zhiru Zhong Chunli Yang Zhiying Lin |
author_facet | Yangyang Xiao Zhiru Zhong Chunli Yang Zhiying Lin |
author_sort | Yangyang Xiao |
collection | DOAJ |
description | Abstract Gastric cancer (GC) is a common malignant tumor, which originated from the epithelial cells of the stomach. It has the characteristics of high incidence and poor prognosis. Therefore, it is urgent to find new prognostic markers for the diagnosis and treatment of GC. Download gene expression matrix and clinical data from TCGA database and GSE84437 dataset. Through independent prognostic analysis and clinical correlation analysis, 74 prognostic related genes (PRG) were screened out. A PPI network was established for PRG to identify four key genes (KG), namely LMOD1, CRYAB, VCL and MYL9. Survival analysis showed that patients with high expression of KG had poor prognosis. Multivariate Cox regression analysis showed that KG was an independent prognostic factor. TCGA database verifies the importance and significance of KG as a prognostic indicator. Functional enrichment analysis showed that KG was mainly involved in cell adhesion molecules, adhesion spots and PI3K/AKT signaling pathway. KG may be a potential therapeutic target for gastric cancer. |
format | Article |
id | doaj-art-c666e5cebe44467f91ace0d3937dfead |
institution | Kabale University |
issn | 2730-6011 |
language | English |
publishDate | 2025-02-01 |
publisher | Springer |
record_format | Article |
series | Discover Oncology |
spelling | doaj-art-c666e5cebe44467f91ace0d3937dfead2025-02-09T12:43:24ZengSpringerDiscover Oncology2730-60112025-02-0116111210.1007/s12672-025-01907-7Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancerYangyang Xiao0Zhiru Zhong1Chunli Yang2Zhiying Lin3Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical CollegeJiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical CollegeJiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical CollegeJiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical CollegeAbstract Gastric cancer (GC) is a common malignant tumor, which originated from the epithelial cells of the stomach. It has the characteristics of high incidence and poor prognosis. Therefore, it is urgent to find new prognostic markers for the diagnosis and treatment of GC. Download gene expression matrix and clinical data from TCGA database and GSE84437 dataset. Through independent prognostic analysis and clinical correlation analysis, 74 prognostic related genes (PRG) were screened out. A PPI network was established for PRG to identify four key genes (KG), namely LMOD1, CRYAB, VCL and MYL9. Survival analysis showed that patients with high expression of KG had poor prognosis. Multivariate Cox regression analysis showed that KG was an independent prognostic factor. TCGA database verifies the importance and significance of KG as a prognostic indicator. Functional enrichment analysis showed that KG was mainly involved in cell adhesion molecules, adhesion spots and PI3K/AKT signaling pathway. KG may be a potential therapeutic target for gastric cancer.https://doi.org/10.1007/s12672-025-01907-7Gastric cancerPrognosisFunctional enrichment analysisKey genesMultivariate Cox regression analysis |
spellingShingle | Yangyang Xiao Zhiru Zhong Chunli Yang Zhiying Lin Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer Discover Oncology Gastric cancer Prognosis Functional enrichment analysis Key genes Multivariate Cox regression analysis |
title | Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer |
title_full | Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer |
title_fullStr | Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer |
title_full_unstemmed | Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer |
title_short | Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer |
title_sort | multivariate cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer |
topic | Gastric cancer Prognosis Functional enrichment analysis Key genes Multivariate Cox regression analysis |
url | https://doi.org/10.1007/s12672-025-01907-7 |
work_keys_str_mv | AT yangyangxiao multivariatecoxregressionanalysisofprognosticgenesandtherapeuticmechanismsofgastriccancer AT zhiruzhong multivariatecoxregressionanalysisofprognosticgenesandtherapeuticmechanismsofgastriccancer AT chunliyang multivariatecoxregressionanalysisofprognosticgenesandtherapeuticmechanismsofgastriccancer AT zhiyinglin multivariatecoxregressionanalysisofprognosticgenesandtherapeuticmechanismsofgastriccancer |