Improving the overall survival prognosis prediction accuracy: A 9-gene signature in CRC patients.

ABSTRACT: Colorectal cancer (CRC) is a malignant tumor and morbidity rates are among the highest in the world. The variation in CRC patients' prognosis prompts an urgent need for new molecular biomarkers to improve the accuracy for predicting the CRC patients' prognosis or as a complement to the traditional TNM staging for clinical practice. CRC patients' gene expression data of HTSeq-FPKM and matching clinical information were downloaded from The Cancer Genome Atlas (TCGA) datasets. Patients were randomly divided into a training dataset and a test dataset. By univariate and multivariate Cox regression survival analyses and Lasso regression analysis, a prediction model which divided each patient into high-or low-risk group was constructed. The differences in survival time between the two groups were

SUBMITTER: Zheng W 

PROVIDER: S-EPMC8419765 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature