Article: Patient-matched analysis identifies deregulated networks in prostate cancer to guide personalized therapeutic intervention.
American journal of cancer research
2021 Volume 11, Issue 11, Page(s) 5299–5318
Abstract: Prostate cancer (PrCa) is the second most common malignancy in men. More than 50% of advanced prostate cancers display the TMPRSS2-ERG fusion. Despite extensive cancer genome/transcriptome data, little is known about the impact of mutations and altered ... ...
Abstract | Prostate cancer (PrCa) is the second most common malignancy in men. More than 50% of advanced prostate cancers display the TMPRSS2-ERG fusion. Despite extensive cancer genome/transcriptome data, little is known about the impact of mutations and altered transcription on regulatory networks in the PrCa of individual patients. Using patient-matched normal and tumor samples, we established somatic variations and differential transcriptome profiles of primary ERG-positive prostate cancers. Integration of protein-protein interaction and gene-regulatory network databases defined highly diverse patient-specific network alterations. Different components of a given regulatory pathway were altered by novel and known mutations and/or aberrant gene expression, including deregulated ERG targets, and were validated by using a novel |
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Language | English |
Publishing date | 2021-11-15 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2589522-9 |
ISSN | 2156-6976 |
ISSN | 2156-6976 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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