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Rehan Akbani

Researcher at University of Texas MD Anderson Cancer Center

Publications -  134
Citations -  106557

Rehan Akbani is an academic researcher from University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Gene & Cancer. The author has an hindex of 65, co-authored 124 publications receiving 84443 citations. Previous affiliations of Rehan Akbani include University of Texas at San Antonio & National Institutes of Health.

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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.
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Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer.

Katherine A Hoadley, +738 more
- 05 Apr 2018 - 
TL;DR: Molecular similarities among histologically or anatomically related cancer types provide a basis for focused pan-cancer analyses, such as pan-gastrointestinal, Pan-gynecological, pan-kidney, and pan-squamous cancers, and those related by stemness features, which may inform strategies for future therapeutic development.
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Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma.

TL;DR: The complete set of genes associated with 1,122 diffuse grade II-III-IV gliomas were defined from The Cancer Genome Atlas and molecular profiles were used to improve disease classification, identify molecular correlations, and provide insights into the progression from low- to high-grade disease.