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Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
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Identifying aggressive prostate cancer foci using a DNA methylation classifier.

Kamilla Mundbjerg1, Sameer Chopra1, Mehrdad Alemozaffar1

  • 1USC Institute of Urology and the Catherine & Joseph Aresty Department of Urology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA.

Genome Biology
|January 14, 2017
PubMed
Summary

New DNA methylation patterns can predict aggressive prostate cancer (PC) subclones. This molecular tool aids in distinguishing indolent from aggressive disease, guiding treatment decisions and improving patient outcomes.

Keywords:
AggressivenessDNA methylationMultifocalProstate cancer

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Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Prostate cancer (PC) heterogeneity necessitates prognostic tools to guide treatment.
  • Multifocality in PC presents challenges for accurate diagnosis and management.
  • Distinguishing indolent from aggressive PC is crucial to avoid overtreatment and undertreatment.

Purpose of the Study:

  • To leverage PC multifocality for prognostic assessment.
  • To categorize PC aggressiveness using DNA methylation patterns.
  • To develop a molecular classifier for aggressive subclones.

Main Methods:

  • Analysis of DNA methylation patterns in primary PC foci and lymph node metastases.
  • Categorization of epigenetic distinct subclones within individual PC cases.
  • Development and validation of a 25-probe DNA methylation classifier.

Main Results:

  • Over half of PC cases exhibit multiple epigenetically distinct subclones.
  • Identified the primary subclone origin of metastatic lesions.
  • Validated classifier accurately predicts aggressive tumors associated with metastasis and advanced stage.

Conclusions:

  • Molecular profiling of DNA methylation supports PC aggressiveness determination.
  • Potential to guide clinical decisions for targeted biopsy and active surveillance.
  • Focal therapy approaches may benefit from this molecular subtyping.