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Gad Getz

Researcher at Broad Institute

Publications -  627
Citations -  309042

Gad Getz is an academic researcher from Broad Institute. The author has contributed to research in topics: Cancer & Biology. The author has an hindex of 189, co-authored 520 publications receiving 247560 citations. Previous affiliations of Gad Getz include University of Colorado Denver & University of California, San Diego.

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Proceedings ArticleDOI

Abstract LB-231: Identifying cancer-related processes in normal tissues via RNA-seq

TL;DR: This study is the first to analyze a large number of samples across many tissues to explore the fundamental question of cancer initiation, and demonstrates that most of the known driver genes in this cohort can be discovered using the mutations detected based on the RNA data.
Journal ArticleDOI

Large-Scale CLL Genome Analysis Reveals Novel Cancer Genes, Including SF3B1

TL;DR: The discovery of striking associations between driver mutations and standard CLL prognostic markers (cytogenetic aberrations, IGVH mutational status) suggest synergistic interactions, and highlight pre-mRNA splicing as a critical but thus far unexplored cellular process contributing to CLL.
Journal ArticleDOI

Longitudinal circulating tumor DNA (ctDNA) whole-exome sequencing (WES) in the phase Ib/II trial of palbociclib and bazedoxifene reveals genomic dynamics and clonal evolution with the acquisition of treatment resistance in hormone receptor-positive, HER2-negative (HR+ HER2-), advanced breast cancer

TL;DR: Serial ctDNA WES and evolutionary studies enabled us to discover novel potential genomic mechanisms of tumor progression, and identified PIK3CA mutations as a candidate biomarker of resistance to the combination of palbociclib and bazedoxifene, which may apply to other next generation endocrine treatments.
Proceedings ArticleDOI

Abstract 2570: An integrated germline analysis platform for comprehensive clinical cancer genomics.

TL;DR: The authors' germline analysis platform facilitates prospective clinical interpretation of germline genomic variants by prioritizing and representing alterations of potential clinical significance and integrates germline variants with clinically actionable somatic alterations for enhanced understanding of potential disease drivers at the individual patient level.