Identification and Validation of a m6A-Related Long Noncoding RNA Prognostic Model in Colorectal Cancer.

ABSTRACT: Accumulating research indicates that N6-methyladenosine (m6A) modification plays a pivotal role in colorectal cancer (CRC). Hence, investigating the m6A-related long noncoding RNAs (lncRNAs) significantly improves therapeutic strategies and prognostic assessments. This study aimed to develop and validate a prognostic model based on m6A-related lncRNAs to improve the prediction of clinical outcomes and identify potential immunological mechanisms in CRC. We obtained high-throughput CRC data from The Cancer Genome Atlas to identify a prognostic model based on m6A-related lncRNAs. Then, the model was constructed and validated through LASSO analysis and Cox regression using R software. The clinical applicability was enhanced by developing a nomogram. We further conducted experiments to reveal t

SUBMITTER: Jiang P 

PROVIDER: S-EPMC11770481 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature