Unknown

Dataset Information

Construction of a Prognostic Model based on CSC-related Genes in Patients with Colorectal Cancer.


ABSTRACT: Colorectal cancer (CRC) is one of the most common and deadly malignancies. Lack of efficient biomarkers for prognosis has limited the improvement of survival outcome in patients with CRC. Numerous studies have demonstrated the important roles of cancer stem cells (CSCs) in both treatment resistance and disease recurrence of CRC. Thus, the current study aims to construct a prognostic model based on expression level of CSC-related genes for precise molecular subtyping of CRC patients with different prognoses, TME infiltration patterns and therapeutic responses. The RNA sequencing data and clinical information were obtained from UCSC Xena database, followed by identification of differential expressed genes, univariate Cox regression, and LASSO regression to identify prognostic CSC-related gen

SUBMITTER: Li ZY 

PROVIDER: S-EPMC12036084 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature