A novel prognostic model based on multi‐omics features predicts the prognosis of colon cancer patients

Abstract excerpt

BACKGROUND: As a common malignant tumor in the colon, colon cancer (CC) has high incidence and recurrence rates. This study is designed to build a prognostic model for CC. METHODS: The gene expression dataset, microRNA-seq dataset, copy number variation (CNV) dataset, DNA methylation dataset, and transcription factor (TF) dataset of CC were downloaded from UCSC Xena database. Using limma package, the...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Cholangiocarcinoma and Gallbladder Cancer Studies
• Share to Ferroptosis and cancer prognosis
• Share to Genetic factors in colorectal cancer