Ontology highlight
ABSTRACT: Background
Transient receptor potential (TRP) channels are involved in the development and progression of tumors. However, their role in colorectal cancer (CRC) remains unclear, and this study aims to investigate the role of TRP-related genes in CRC.Methods
Data was obtained from The Cancer Genome Atlas (TCGA) database, and analyses were conducted on the GSE14333 and GSE38832 datasets to assess the prognosis and mark TRP-related genes (TRGs). Subsequently, clustering analysis and immune infiltration analysis were performed to explore the relevant TRGs. In vitro validation of key TRGs' gene and protein expression was conducted using human colon cancer cells.Results
Compared to normal tissues, 8 TRGs were significantly upregulated in CRC, while 11 were downregulated. TRPA1 was identified as a protective prognostic factor, whereas TRPM5 (HR = 1.349), TRPV4 (HR = 1.289), and TRPV3 (HR = 1.442) were identified as prognostic risk factors. Receiver operating characteristic (ROC) curves and Kaplan-Meier (KM) analyses yielded similar results. Additionally, lower expression of TRPA1 and higher expression of TRPV4 and TRPM5 were negatively correlated with patient prognosis, and experimental validation confirmed the underexpression of TRPA1 and overexpression of TRPV4 and TRPM5 in CRC cell lines.Conclusion
This study identifies a TRP channel-related prognosis in CRC, providing a novel approach to stratifying CRC prognosis.
SUBMITTER: Liu Y
PROVIDER: S-EPMC11330954 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature
Liu Yicheng Y Yao Xiaobing X Zhao Wenjun W Xu Jin J Zhang Haiyan H Huang Ting T Wu Chuang C Yang Jiajia J Tang Cheng C Ye Qianqian Q Hu Weiye W Wang Qingming Q
Discover oncology 20240818 1
<h4>Background</h4>Transient receptor potential (TRP) channels are involved in the development and progression of tumors. However, their role in colorectal cancer (CRC) remains unclear, and this study aims to investigate the role of TRP-related genes in CRC.<h4>Methods</h4>Data was obtained from The Cancer Genome Atlas (TCGA) database, and analyses were conducted on the GSE14333 and GSE38832 datasets to assess the prognosis and mark TRP-related genes (TRGs). Subsequently, clustering analysis and ...[more]