Open AccessIdentification of Metabolic-Associated Genes for the Prediction of Colon and Rectal Adenocarcinoma
Author(s) -
Yanfen Cui,
Baoai Han,
He Zhang,
Hui Liu,
Fei Zhang,
Ruifang Niu
Publication year - 2021
Publication title -
oncotargets and therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.054
H-Index - 60
ISSN - 1178-6930
DOI - 10.2147/ott.s297134
Subject(s) - colorectal cancer , proportional hazards model , medicine , oncology , gene , pathway analysis , adenocarcinoma , survival analysis , lasso (programming language) , univariate , cancer , bioinformatics , gene expression , multivariate statistics , biology , genetics , computer science , machine learning , world wide web
Uncontrolled proliferation is the most prominent biological feature of tumors. In order to rapidly proliferate, tumor cells regulate their metabolic behavior by controlling the expression of metabolism-related genes (MRGs) to maximize the utilization of available nutrients. In this study, we aimed to construct prognosis models for colorectal adenocarcinoma (COAD) and rectum adenocarcinoma (READ) using MRGs to predict the prognoses of patients.