Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.

ABSTRACT: There are many types of cancers. Although they share some hallmarks, such as proliferation and metastasis, they are still very different from many perspectives. They grow on different organ or tissues. Does each cancer have a unique gene expression pattern that makes it different from other cancer types? After the Cancer Genome Atlas (TCGA) project, there are more and more pan-cancer studies. Researchers want to get robust gene expression signature from pan-cancer patients. But there is large variance in cancer patients due to heterogeneity. To get robust results, the sample size will be too large to recruit. In this study, we tried another approach to get robust pan-cancer biomarkers by using the cell line data to reduce the variance. We applied several advanced computational methods to a

SUBMITTER: Ding S 

PROVIDER: S-EPMC8669964 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature