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Dataset Information

A Prognostic Model for Colon Cancer Patients Based on Eight Signature Autophagy Genes.


ABSTRACT:

Objective

To screen key autophagy genes in colon cancer and construct an autophagy gene model to predict the prognosis of patients with colon cancer.

Methods

The colon cancer data from the TCGA were downloaded as the training set, data chip of GSE17536 as the validation set. The differential genes of the training set were obtained and were analyzed for enrichment and protein network. Acquire autophagy genes from Human Autophagy Database www.autophagy.lu/project.html. Autophagy genes in differentially expressed genes were extracted using R-packages limma. Using LASSO/Cox regression analysis combined with clinical information to construct the autophagy gene risk scoring model and divide the samples into high and low risk groups according to the risk value. The Nomogram assessm

SUBMITTER: Xu J 

PROVIDER: S-EPMC7726244 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature