Distinct DNA methylation patterns associated with treatment resistance in metastatic castration resistant prostate

Madonna R Peter1,2, Misha Bilenky3, Alastair Davies4

  • 1Lunenfeld-Tanenbaum Research Institute, Sinai Health System, 60 Murray Street, Toronto, ON, M5T 3L9, Canada.

Scientific Reports
|March 24, 2021
PubMed

Insights

Investigating DNA methylation changes in prostate cancer (PCa) progression reveals new insights into treatment resistance. Methylation patterns in circulating cell-free DNA (cfDNA) may predict disease progression in advanced prostate cancer patients.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Androgens drive prostate cancer (PCa) and are key treatment targets for advanced disease.
  • Therapy resistance leads to metastatic castration-resistant prostate cancer (mCRPC) and neuroendocrine disease (tNEPC).
  • DNA methylome instability is a hallmark of PCa development and progression.

Purpose of the Study:

  • To investigate DNA methylation dynamics during the transition from castration-sensitive to tNEPC states.
  • To identify novel mechanisms of therapeutic resistance in advanced prostate cancer.
  • To explore potential methylation biomarkers in circulating cell-free DNA (cfDNA) for disease progression.

Main Methods:

  • Genome-wide methylation analysis was performed on a xenograft model of castration-resistant prostate cancer (CRPC).
  • Analysis included cell lines representing various stages of PCa progression.
  • Combined analysis of methylation and gene expression data was conducted.

Main Results:

  • Extensive methylation changes were confirmed during the development of CRPC and tNEPC.
  • Key genes and pathways involved in cellular differentiation and neurodevelopment showed altered methylation.
  • tNEPC-related methylation signals were detected in cfDNA from mCRPC patients and correlated with faster progression.

Conclusions:

  • DNA methylation dynamics are critical in PCa progression and the development of treatment resistance.
  • Identified genes and methylation patterns may serve as novel therapeutic targets and predictive biomarkers.
  • cfDNA methylation signals show promise for identifying patients with aggressive mCRPC.