Integrated analysis of single-cell and bulk RNA-sequencing to predict prognosis and therapeutic response for colorectal cancer.

ABSTRACT: Colorectal cancer (CRC) is a prevalent malignant tumor characterized by high global incidence and mortality rates. Furthermore, it is imperative to comprehend the molecular mechanisms underlying its development and to identify effective prognostic markers. These efforts are crucial for pinpointing potential therapeutic targets and enhancing patient survival rates. Therefore, we develop a novel prognostic model aimed at providing new theoretical support for clinical prognosis evaluation and treatment. We downloaded data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Subsequently, we performed single-cell analysis and developed a prognostic model associated with colorectal cancer. We divided the scRNA-seq dataset (GSE221575) into 19 cell clusters and cla

SUBMITTER: Cai L 

PROVIDER: S-EPMC11889094 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature