Pan-cancer analysis identifies telomerase-associated signatures and cancer subtypes.

ABSTRACT:

Background

Cancer cells become immortalized through telomere maintenance mechanisms, such as telomerase reverse transcriptase (TERT) activation. In addition to maintaining telomere length, TERT activates manifold cell survival signaling pathways. However, telomerase-associated gene signatures in cancer remain elusive.

Methods

We performed a systematic analysis of TERT high (TERT^high) and low (TERT^low) cancers using multidimensional data from The Cancer Genome Atlas (TCGA). Multidimensional data were analyzed by propensity score matching weight algorithm. Coexpression networks were constructed by weight gene coexpression network analysis (WGCNA). Random forest classifiers were generated to identify cancer subtypes.

Results

The TERT^high-

SUBMITTER: Luo Z 

PROVIDER: S-EPMC6556968 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature