Development and validation of a prognostic model based on RNA binding proteins in patients with esophageal cancer.

ABSTRACT:

Background

RNA-binding proteins (RBPs) play a crucial role in regulating RNA turnover and are associated with cancer development. However, little is known about the role of RBPs in esophageal cancer (ESCA). The present study focuses on the association between RBP gene expression and survival in ESCA, addressing the clinical relevance of an RBPs-based prediction model for prognosis.

Methods

RNA-sequencing data and clinical information of patients with ESCA were obtained from The Cancer Genome Atlas (TCGA) database. We identified differentially expressed genes in ESCA and intersected them with RBP-encoding genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed with the identified differentially expressed RBPs. Th

SUBMITTER: Du H 

PROVIDER: S-EPMC10713301 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature