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Unmasking all forms of cancer: toward integrated maps of all tumor subtypes Stuart, Josh
Description
The varieties of cancer seem numberless. From classic tell-tale genomic alterations like the Philadelphia chromosome in CML, to the recurrent and specific amino acid V600E BRAF mutations in melanoma, from HER2 amplifications in some breast cancers, to hypermutated tumors in colorectal cancers linked to epigenetic changes. Are tumors that arise in different tissues distinct? Is every patient's tumor distinct? Or are there underlying connections to help construct a molecular taxonomy of cancer's forms? In this talk, I will present results from the TCGA Pan-Cancer analysis project to investigate cancer's forms in the most comprehensive study of tumor subtypes attempted to date. We derived a map of tumor classes encompassing an integrated view of six different omics datasets. While most tumors (90%) cluster with others from the same tissue of origin, a significant fraction (10%) are reclassified into groups of multiple tissue types. Data on patient outcomes suggests the reclassification could provide important information to consider for treatment. I will also present novel pathway analysis methods and landscape visualization techniques that help probe further into these results.
Item Metadata
Title |
Unmasking all forms of cancer: toward integrated maps of all tumor subtypes
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2017-03-30T14:02
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Description |
The varieties of cancer seem numberless. From classic tell-tale genomic alterations like the Philadelphia chromosome in CML, to the recurrent and specific amino acid V600E BRAF mutations in melanoma, from HER2 amplifications in some breast cancers, to hypermutated tumors in colorectal cancers linked to epigenetic changes. Are tumors that arise in different tissues distinct? Is every patient's tumor distinct? Or are there underlying connections to help construct a molecular taxonomy of cancer's forms?
In this talk, I will present results from the TCGA Pan-Cancer analysis project to investigate cancer's forms in the most comprehensive study of tumor subtypes attempted to date. We derived a map of tumor classes encompassing an integrated view of six different omics datasets. While most tumors (90%) cluster with others from the same tissue of origin, a significant fraction (10%) are reclassified into groups of multiple tissue types. Data on patient outcomes suggests the reclassification could provide important information to consider for treatment. I will also present novel pathway analysis methods and landscape visualization techniques that help probe further into these results.
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Extent |
22 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: UCSC
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Series | |
Date Available |
2017-09-27
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0355790
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International