Prediction model of clinical prognosis and immunotherapy efficacy of gastric cancer based on level of expression of cuproptosis-related genes

Autor: Bo Zhao, Wei Wu, Liang Liang, Xiaoyong Cai, Yongjun Chen, Weizhong Tang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Heliyon, Vol 9, Iss 8, Pp e19035- (2023)
Druh dokumentu: article
ISSN: 2405-8440
DOI: 10.1016/j.heliyon.2023.e19035
Popis: Background: Gastric cancer is one of the most common malignancies in the world and ranks fourth among cancer-related causes of death. Gastric adenocarcinoma is the most common pathological type of gastric cancer; usually, this tumor is associated with distant metastasis upon first diagnosis and has a poor prognosis. Cuproptosis is a novel mechanism of cell death induced by copper, and is closely related to tumor progression, prognosis and immune response. However, the role of cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) of gastric cancer has yet to be elucidated. Methods: Gastric adenocarcinoma data were downloaded from the Cancer Genome Atlas (TCGA) database. Through bioinformatics analysis, a risk scoring model was constructed from cuproptosis gene-related lncRNA. Then, we investigated the relationship between prognosis and the TIME of gastric cancer according to clinical characteristics and risk score. Results: Validation of the model showed that the overall survival (OS) of the high-risk group was significantly lower than that of the low-risk group (P
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