Discovering the molecular differences between right- and left-sided colon cancer using machine learning methods.

ABSTRACT:

Background

In recent years, the differences between left-sided colon cancer (LCC) and right-sided colon cancer (RCC) have received increasing attention due to the clinicopathological variation between them. However, some of these differences have remained unclear and conflicting results have been reported.

Methods

From The Cancer Genome Atlas (TCGA), we obtained RNA sequencing data and gene mutation data on 323 and 283 colon cancer patients, respectively. Differential analysis was firstly done on gene expression data and mutation data between LCC and RCC, separately. Machine learning (ML) methods were then used to select key genes or mutations as features to construct models to classify LCC and RCC patients. Finally, we conducted correlation analysis to identify the correlat

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC7574488 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature