Identification and validation of an inflammation-related lncRNAs signature for improving outcomes of patients in colorectal cancer.

ABSTRACT: Background: Colorectal cancer is the fourth most deadly cancer worldwide. Although current treatment regimens have prolonged the survival of patients, the prognosis is still unsatisfactory. Inflammation and lncRNAs are closely related to tumor occurrence and development in CRC. Therefore, it is necessary to establish a new prognostic signature based on inflammation-related lncRNAs to improve the prognosis of patients with CRC. Methods: LASSO-penalized Cox analysis was performed to construct a prognostic signature. Kaplan-Meier curves were used for survival analysis and ROC curves were used to measure the performance of the signature. Functional enrichment analysis was conducted to reveal the biological significance of the signature. The R package "maftool" and GISTIC2.0 algor

SUBMITTER: Huang M 

PROVIDER: S-EPMC9561096 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature