Exploring cancer genomic data from the cancer genome atlas project

Ju Seog Lee

doi:10.5483/BMBRep.2016.49.11.145

Exploring cancer genomic data from the cancer genome atlas project

Ju Seog Lee

Systems Biology

Research output: Contribution to journal › Short survey › peer-review

58 Scopus citations

Abstract

The Cancer Genome Atlas (TCGA) has compiled genomic, epigenomic, and proteomic data from more than 10,000 samples derived from 33 types of cancer, aiming to improve our understanding of the molecular basis of cancer development. Availability of these genome-wide information provides an unprecedented opportunity for uncovering new key regulators of signaling pathways or new roles of pre-existing members in pathways. To take advantage of the advancement, it will be necessary to learn systematic approaches that can help to uncover novel genes reflecting genetic alterations, prognosis, or response to treatments. This minireview describes the updated status of TCGA project and explains how to use TCGA data.

Original language	English (US)
Pages (from-to)	607-611
Number of pages	5
Journal	BMB Reports
Volume	49
Issue number	11
DOIs	https://doi.org/10.5483/BMBRep.2016.49.11.145
State	Published - 2016

Keywords

Clinical significance
Genomics
Methylation
Proteomics
The cancer genome atlas

ASJC Scopus subject areas

Biochemistry
Molecular Biology

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10.5483/BMBRep.2016.49.11.145

Cite this

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title = "Exploring cancer genomic data from the cancer genome atlas project",

abstract = "The Cancer Genome Atlas (TCGA) has compiled genomic, epigenomic, and proteomic data from more than 10,000 samples derived from 33 types of cancer, aiming to improve our understanding of the molecular basis of cancer development. Availability of these genome-wide information provides an unprecedented opportunity for uncovering new key regulators of signaling pathways or new roles of pre-existing members in pathways. To take advantage of the advancement, it will be necessary to learn systematic approaches that can help to uncover novel genes reflecting genetic alterations, prognosis, or response to treatments. This minireview describes the updated status of TCGA project and explains how to use TCGA data.",

keywords = "Clinical significance, Genomics, Methylation, Proteomics, The cancer genome atlas",

author = "Lee, {Ju Seog}",

note = "Funding Information: This study was supported in part by National Institutes of Health grants CA150229, 2016 cycle of Institutional Research Grants from The University of Texas MD Anderson Cancer Center, 2016 cycle of Sister Institute Network Grant from The University of Texas MD Anderson Cancer Center, and a grant from The University of Texas MD Anderson Cancer Center Duncan Family Institute for Cancer Prevention and Risk Assessment. Publisher Copyright: {\textcopyright} 2016 by the The Korean Society for Biochemistry and Molecular Biology.",

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doi = "10.5483/BMBRep.2016.49.11.145",

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PY - 2016

Y1 - 2016

N2 - The Cancer Genome Atlas (TCGA) has compiled genomic, epigenomic, and proteomic data from more than 10,000 samples derived from 33 types of cancer, aiming to improve our understanding of the molecular basis of cancer development. Availability of these genome-wide information provides an unprecedented opportunity for uncovering new key regulators of signaling pathways or new roles of pre-existing members in pathways. To take advantage of the advancement, it will be necessary to learn systematic approaches that can help to uncover novel genes reflecting genetic alterations, prognosis, or response to treatments. This minireview describes the updated status of TCGA project and explains how to use TCGA data.

AB - The Cancer Genome Atlas (TCGA) has compiled genomic, epigenomic, and proteomic data from more than 10,000 samples derived from 33 types of cancer, aiming to improve our understanding of the molecular basis of cancer development. Availability of these genome-wide information provides an unprecedented opportunity for uncovering new key regulators of signaling pathways or new roles of pre-existing members in pathways. To take advantage of the advancement, it will be necessary to learn systematic approaches that can help to uncover novel genes reflecting genetic alterations, prognosis, or response to treatments. This minireview describes the updated status of TCGA project and explains how to use TCGA data.

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KW - Methylation

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Exploring cancer genomic data from the cancer genome atlas project

Abstract

Keywords

ASJC Scopus subject areas

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