Identification and validation of a novel prognosis model based on m5C-related long non-coding RNAs in colorectal cancer.

ABSTRACT:

Background

The prognosis of tumor patients can be assessed by measuring the levels of lncRNAs (long non-coding RNAs), which play a role in controlling the methylation of the RNA. Prognosis in individuals with colorectal adenocarcinoma (CRC) is strongly linked to lncRNA expression, making it imperative to find lncRNAs that are associated with RNA methylation with strong prognostic value.

Methods

In this study, by analyzing TCGA dataset, we were able to develop a risk model for lncRNAs that are associated with m5C with prognostic significance by employing LASSO regression and univariate Cox proportional analysis. There were a number of methods employed to ensure the model was accurate, including multivariate and univariate Cox regression analysis, Kaplan analysis, and receiver

SUBMITTER: Di Z 

PROVIDER: S-EPMC10481501 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature