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Spatial genomic heterogeneity within localized, multifocal prostate cancer. | LitMetric

Spatial genomic heterogeneity within localized, multifocal prostate cancer.

Nat Genet

1] Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. [2] Ontario Cancer Institute, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. [3] Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.

Published: July 2015

AI Article Synopsis

  • Researchers studied 74 patients with a type of prostate cancer called Gleason score 7 to understand how different parts of their tumors were unique.
  • They looked closely at 5 patients by analyzing 23 specific areas of their tumors and found lots of differences in the cancer's genetic makeup.
  • A new gene called MYCL was found to be important, and this study helps doctors predict how a patient's cancer might behave, which could lead to better treatments in the future.

Article Abstract

Herein we provide a detailed molecular analysis of the spatial heterogeneity of clinically localized, multifocal prostate cancer to delineate new oncogenes or tumor suppressors. We initially determined the copy number aberration (CNA) profiles of 74 patients with index tumors of Gleason score 7. Of these, 5 patients were subjected to whole-genome sequencing using DNA quantities achievable in diagnostic biopsies, with detailed spatial sampling of 23 distinct tumor regions to assess intraprostatic heterogeneity in focal genomics. Multifocal tumors are highly heterogeneous for single-nucleotide variants (SNVs), CNAs and genomic rearrangements. We identified and validated a new recurrent amplification of MYCL, which is associated with TP53 deletion and unique profiles of DNA damage and transcriptional dysregulation. Moreover, we demonstrate divergent tumor evolution in multifocal cancer and, in some cases, tumors of independent clonal origin. These data represent the first systematic relation of intraprostatic genomic heterogeneity to predicted clinical outcome and inform the development of novel biomarkers that reflect individual prognosis.

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Source
http://dx.doi.org/10.1038/ng.3315DOI Listing

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