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Francisco Sanchez-Vega

Researcher at Memorial Sloan Kettering Cancer Center

Publications -  115
Citations -  20975

Francisco Sanchez-Vega is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: Cancer & Medicine. The author has an hindex of 36, co-authored 84 publications receiving 13474 citations. Previous affiliations of Francisco Sanchez-Vega include Washington University in St. Louis & National Institutes of Health.

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The Molecular Taxonomy of Primary Prostate Cancer

Adam Abeshouse, +311 more
- 05 Nov 2015 - 
TL;DR: The Cancer Genome Atlas (TCGA) has been used for a comprehensive molecular analysis of primary prostate carcinomas as discussed by the authors, revealing substantial heterogeneity among primary prostate cancers, evident in the spectrum of molecular abnormalities and its variable clinical course.
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Oncogenic Signaling Pathways in The Cancer Genome Atlas

TL;DR: This work charted the detailed landscape of pathway alterations in 33 cancer types, stratified into 64 subtypes, and identified patterns of co-occurrence and mutual exclusivity.

The Molecular Taxonomy of Primary Prostate Cancer

Adam Abeshouse, +309 more
TL;DR: A comprehensive molecular analysis of 333 primary prostate carcinomas revealed a molecular taxonomy in which 74% of these tumors fell into one of seven subtypes defined by specific gene fusions (ERG, ETV1/4, and FLI1) or mutations (SPOP, FOXA1, and IDH1).
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Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer

A. Gordon Robertson, +170 more
- 19 Oct 2017 - 
TL;DR: An analysis of 412 muscle-invasive bladder cancers characterized by multiple TCGA analytical platforms identified 5 expression subtypes that may stratify response to different treatments and identified a poor-survival "neuronal" subtype in which the majority of tumors lacked small cell or neuroendocrine histology.
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Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma

Adrian Ally, +235 more
- 15 Jun 2017 - 
TL;DR: Integrative molecular HCC subtyping incorporating unsupervised clustering of five data platforms identified three subtypes, one of which was associated with poorer prognosis in three HCC cohorts and development of a p53 target gene expression signature correlating with poor survival was enabled.