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Dataset Information

Classifying cancer genome aberrations by their mutually exclusive effects on transcription.


ABSTRACT:

Background

Malignant tumors are typically caused by a conglomeration of genomic aberrations-including point mutations, small insertions, small deletions, and large copy-number variations. In some cases, specific chemotherapies and targeted drug treatments are effective against tumors that harbor certain genomic aberrations. However, predictive aberrations (biomarkers) have not been identified for many tumor types and treatments. One way to address this problem is to examine the downstream, transcriptional effects of genomic aberrations and to identify characteristic patterns. Even though two tumors harbor different genomic aberrations, the transcriptional effects of those aberrations may be similar. These patterns could be used to inform treatment choices.

Methods

We used da

SUBMITTER: Dayton JB 

PROVIDER: S-EPMC5763295 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature