Defining and Functionally Characterizing the Epigenome in Lethal Prostate Cancer

Abstract

Prostate cancer (PCa) is dependent on the androgen receptor (AR) at all stages of the disease. The centrality of the clinical role of this hormone-driven transcription factor (TF) in PCa renders it an ideal tumor type in which to study epigenetics. Using chromatin immunoprecipitation followed by high throughput sequencing (ChIP-seq) in human radical prostatectomy (RP) specimens, we charted the AR cistrome - the universe of all AR binding sites in the genome. We observed that the AR cistrome undergoes significant alterations during the transition from localized to metastatic disease that are strikingly consistent across patients. This finding underlies our hypothesis that aberrant epigenetic signaling helps drive prostate PCa progression and provides the foundation for a deeper interrogation into the PCa epigenome across disease states in vivo. As part of this project, we have begun to define the genome-wide landscape of active enhancers and open across PCa states. The contents of these maps, in turn, guide screens that will identify regulatory elements associated with treatment resistance and key proteins binding to clinically relevant enhancers. Characterizing changes in the epigenome and its associated transcriptional programs will identify new therapeutic targets as well as biomarkers for therapy response and patient prognostication.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2022
Accession Number
AD1201587

Entities

People

  • Matthew L Freedman

Organizations

  • Dana–Farber Cancer Institute

Tags

DTIC Thesaurus Topics

  • Androgen Receptors
  • Androgens
  • Biological Markers
  • Biomedical Research
  • Cell Line
  • Chemistry
  • Data Analysis
  • Diseases
  • Epigenetics
  • Epigenome
  • Epigenomics
  • Genetics
  • Medical Personnel
  • Neoplasms
  • Prostate Cancer
  • Proteins
  • Tissues
  • Whole Genome Sequencing

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.
  • Oncology and Biomarker-Based Cancer Detection.
  • Prostate Cancer Biology.