An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

被引：2582

作者：

Liu, Jianfang ^{[1
]}

Lichtenberg, Tara ^{[2
]}

Hoadley, Katherine A. ^{[3
]}

Poisson, Laila M. ^{[4
,5
]}

Lazar, Alexander J. ^{[6
,7
,8
]}

Cherniack, Andrew D. ^{[9
]}

Kovatich, Albert J. ^{[10
]}

Benz, Christopher C. ^{[11
]}

Levine, Douglas A. ^{[12
]}

Lee, Adrian V. ^{[13
,14
]}

Omberg, Larsson ^{[15
]}

Wolf, Denise M. ^{[16
]}

Shriver, Craig D. ^{[17
]}

Thorsson, Vesteinn ^{[18
]}

Hu, Hai ^{[1
]}

机构：

[1] Chan Soon Shiong Inst Mol Med Windber, Windber, PA 15963 USA

[2] Nationwide Childrens Hosp, Columbus, OH 43205 USA

[3] Univ North Carolina Chapel Hill, Lineberger Comprehens Canc Ctr, Dept Genet, Chapel Hill, NC 27599 USA

[4] Henry Ford Hlth Syst, Henry Ford Canc Inst, Detroit, MI 48202 USA

[5] Henry Ford Hlth Syst, Hermelin Brain Tumor Ctr, Detroit, MI 48202 USA

[6] Univ Texas MD Anderson Canc Ctr, Dept Pathol, Houston, TX 77030 USA

[7] Univ Texas MD Anderson Canc Ctr, Dept Genom Med, Houston, TX 77030 USA

[8] Univ Texas MD Anderson Canc Ctr, Dept Translat Mol Pathol, Houston, TX 77030 USA

[9] Eli & Edythe L Broad Inst MIT & Harvard, Cambridge, MA 02142 USA

[10] Uniformed Serv Univ Hlth Sci, Walter Reed Natl Mil Med Ctr, Murtha Canc Ctr, Clin Breast Care Project, Bethesda, MD 20889 USA

[11] Buck Inst Res Aging, Novato, CA 94945 USA

[12] NYU, Langone Med Ctr, Dept OB GYN, Div Gynecol Oncol, New York, NY 10016 USA

[13] Univ Pittsburgh, Womens Canc Res Ctr, Dept Pharmacol & Chem Biol & Human Genet, UPMC Hillman Canc Ctr, Pittsburgh, PA 15213 USA

[14] Magee Womens Res Inst, Pittsburgh, PA 15213 USA

[15] Sage Bionetworks, Seattle, WA 98109 USA

[16] Univ Calif San Francisco, Dept Lab Med, San Francisco, CA 94143 USA

[17] Uniformed Serv Univ Hlth Sci, Walter Reed Natl Mil Med Ctr, Murtha Canc Ctr, Bethesda, MD 20889 USA

[18] Inst Syst Biol, Seattle, WA 98109 USA

来源：

CELL | 2018年 / 173卷 / 02期

关键词：

COMPREHENSIVE GENOMIC CHARACTERIZATION; PROGRESSION-FREE SURVIVAL; SUFFICIENT FOLLOW-UP; BREAST-CANCER; END-POINTS; MOLECULAR PORTRAITS; TIME; CLASSIFICATION; DEFINITIONS; RECURRENCE;

D O I：

10.1016/j.cell.2018.02.052

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale.

引用

页码：400 / +

页数：28

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