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Andrew Berchuck

Researcher at Duke University

Publications -  617
Citations -  63537

Andrew Berchuck is an academic researcher from Duke University. The author has contributed to research in topics: Ovarian cancer & Cancer. The author has an hindex of 88, co-authored 568 publications receiving 56085 citations. Previous affiliations of Andrew Berchuck include Pennsylvania State University & Durham University.

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Integrated genomic analyses of ovarian carcinoma

Debra A. Bell, +285 more
- 30 Jun 2011 - 
TL;DR: It is reported that high-grade serous ovarian cancer is characterized by TP53 mutations in almost all tumours (96%); low prevalence but statistically recurrent somatic mutations in nine further genes including NF1, BRCA1,BRCA2, RB1 and CDK12; 113 significant focal DNA copy number aberrations; and promoter methylation events involving 168 genes.

Integrated genomic analyses of ovarian carcinoma

Daphne W. Bell, +261 more
TL;DR: The Cancer Genome Atlas project has analyzed messenger RNA expression, microRNA expression, promoter methylation and DNA copy number in 489 high-grade serous ovarian adenocarcinomas and the DNA sequences of exons from coding genes in 316 of these tumours as mentioned in this paper.
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Integrated genomic characterization of endometrial carcinoma

Gad Getz, +283 more
- 02 May 2013 - 
TL;DR: In this paper, the authors performed an integrated genomic, transcriptomic and proteomic characterization of 373 endometrial carcinomas using array-and-sequencing-based technologies, and classified them into four categories: POLE ultramutated, microsatellite instability hypermutated, copy-number low, and copy number high.

Integrated genomic characterization of endometrial carcinoma

Gad Getz, +271 more
TL;DR: The genomic features of endometrial carcinomas permit a reclassification that may affect post-surgical adjuvant treatment for women with aggressive tumours, and these features are classified into four categories: POLE ultramutated, microsatellite instability hypermutated, copy- number low, and copy-number high.
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Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

TL;DR: It is shown that gene expression signatures can be identified that reflect the activation status of several oncogenic pathways and linked with sensitivity to therapeutics that target components of the pathway provides an opportunity to make use of these oncogens pathway signatures to guide the use of targeted therapeutics.