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Dataset Information

Characterization of pathways involved in colorectal cancer using real-time RT-PCR gene expression data.


ABSTRACT:

Aim

Efforts to explore biomarkers and biological pathways involved in the disease are needed to improve colorectal cancer (CRC) diagnosis and alternative treatments.

Background

The fourth common malignancy in the world is colorectal cancer. The over-all burden is predicted to rise by 2030.

Methods

In the current study, nine genes were selected. Previously, a panel of genes by Agendia, a classifier of robust gene expression (ColoPrint), was determined to significantly improve the prognostic accuracy of pathologic factors in stage II and III colorectal cancer patients. Five genes, including Ppara, Mctp1, Pyroxd1, Il2r, and Cyfip2, from this panel and four other genes which were not in this panel but were cited abundantly in the literature were selected. Th

SUBMITTER: Shabani S 

PROVIDER: S-EPMC8101527 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature