Article

Patient-matched analysis identifies deregulated networks in prostate cancer to guide personalized therapeutic intervention

2019-07-11

Abstract excerpt

Prostate cancer (PrCa) is the second most common malignancy in men 1 . More than 50% of advanced prostate cancers display the TMPRSS2-ERG fusion 2 . Despite extensive cancer genome/transcriptome 2–4 and phosphoproteome 5 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 esta...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 12ae06ec-c2a7-5e7a-a9d6-de1b3037b73c
DOI: 10.1101/695999

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Patient-matched analysis identifies deregulated networks in prostate cancer to guide personalized therapeutic interventionDOI 10.1101/695999Read

Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate CancerSemantic proximity Read

Association between pathologic factors and ERG expression in prostate cancer: finding pivotal networking.Semantic proximity Read

Dysregulated Transcriptional Control in Prostate CancerSemantic proximity Read

Dynamic rewiring of the androgen receptor protein interaction network correlates with prostate cancer clinical outcomes.Semantic proximity Read

Epigenomic profiling of prostate cancer identifies differentially methylated genes in TMPRSS2:ERG fusion-positive versus fusion-negative tumorsSemantic proximity Read

Distinct genomic aberrations associated with ERG rearranged prostate cancerSemantic proximity Read

Whole-transcriptome analysis reveals established and novel associations with TMPRSS2:ERG fusion in prostate cancer.Semantic proximity Read

Transcriptome Sequencing Reveals PCAT5 as a Novel ERG-Regulated Long Noncoding RNA in Prostate Cancer.Semantic proximity Read

Sequencing of prostate cancers identifies new cancer genes, routes of progression and drug targets.Semantic proximity Read

Interrogation of ERG gene rearrangements in prostate cancer identifies a prognostic 10‐gene signature with relevant implication to patients' clinical outcomeSemantic proximity Read

Integration of copy number and transcriptomics provides risk stratification in prostate cancer: A discovery and validation cohort studySemantic proximity Read

Identification of transcription factor co-regulators that drive prostate cancer progression.Semantic proximity Read