Copy number alteration burden predicts prostate cancer relapse
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- Haley Hieronymus
- Programs in aHuman Oncology and Pathogenesis and
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- Nikolaus Schultz
- Computational Biology,
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- Anuradha Gopalan
- Departments of dPathology,
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- Brett S. Carver
- Urology, and
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- Matthew T. Chang
- Department of fBioengineering and Therapeutic Sciences,
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- Yonghong Xiao
- Departments of dPathology,
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- Adriana Heguy
- Programs in aHuman Oncology and Pathogenesis and
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- Kety Huberman
- Programs in aHuman Oncology and Pathogenesis and
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- Melanie Bernstein
- Urology, and
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- Melissa Assel
- Epidemiology and Biostatistics, Memorial Sloan–Kettering Cancer Center, New York, NY 10065;
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- Rajmohan Murali
- Center for Molecular Oncology, and
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- Andrew Vickers
- Epidemiology and Biostatistics, Memorial Sloan–Kettering Cancer Center, New York, NY 10065;
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- Peter T. Scardino
- Urology, and
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- Chris Sander
- Computational Biology,
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- Victor Reuter
- Departments of dPathology,
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- Barry S. Taylor
- Epidemiology and Biostatistics, and
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- Charles L. Sawyers
- Programs in aHuman Oncology and Pathogenesis and
Description
<jats:title>Significance</jats:title> <jats:p>Prostate cancer is a major health burden with significant overtreatment because of difficulty segregating high- and low-risk disease. Discovery of biomarkers that stratify risk could have a broad public health impact but requires cohorts with comprehensive molecular and clinical follow-up. We characterize two independent prostate cancer cohorts with genomic and clinical data that include biochemical recurrence and metastasis. We demonstrate that copy number alteration (CNA) burden, a measure of the fraction of a tumor genome that is copy number altered, is prognostic for recurrence and metastasis. CNA burden is also associated with cancer recurrence in an intermediate risk population, and can be identified in biopsies. This work provides a clinicogenomic resource and highlights oncogenomics' potential to identify needed prognostic factors.</jats:p>
Journal
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- Proceedings of the National Academy of Sciences
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Proceedings of the National Academy of Sciences 111 (30), 11139-11144, 2014-07-14
Proceedings of the National Academy of Sciences
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Details 詳細情報について
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- CRID
- 1363670320995335296
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- ISSN
- 10916490
- 00278424
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- Data Source
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- Crossref
