Identification of metabolism-related genes for predicting peritoneal metastasis in patients with gastric cancer.

ABSTRACT:

Objective

The reprogramming of metabolism is an important factor in the metastatic process of cancer. In our study, we intended to investigate the predictive value of metabolism-related genes (MRGs) in recurrent gastric cancer (GC) patients with peritoneal metastasis.

Methods

The sequencing data of mRNA of GC patients were obtained from Asian Cancer Research Group (ACRG) and the GEO databases (GSE53276). The differentially expressed MRGs (DE-MRGs) between a cell line without peritoneal metastasis (HSC60) and one with peritoneal metastasis (60As6) were analyzed with the Limma package. According to the LASSO regression, eight MRGs were identified as crucially related to peritoneal seeding recurrence in patients. Then, disease free survival related genes were screened using Cox

SUBMITTER: Tian C 

PROVIDER: S-EPMC9743729 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature