Genetic and Genomic Determinants of Homologous Recombination Repair Deficiency as Treatment Selection Markers for Lethal Prostate Cancer

Abstract

Purpose: to test the main hypothesis that patients with lethal prostate cancer can be categorized into three molecular groups according to homologous recombination deficiency (HRD) status defined by deleterious mutations in HRD genes: 1) germline/somatic HRD mutations; 2) somatic-only HRD mutations; and 3) no HRD mutations; and that these groups are clinically distinct with differential responses to systemic treatments including AR-targeting therapies and taxane chemotherapies. Scope: The scope of the study will include prospective evaluation of men with potentially lethal prostate cancer receiving systemic treatments in order to capture a diverse cohort of men receiving contemporary treatment regimens for castration resistant prostate cancer. From clinical correlative analyses we will determine differential response to treatments including AR-directed vs taxane therapies on the basis of HRD status, and from RNA-seq analysis we will determine the gene expression profiles associated with the three HRD groups. Major activities and findings: We have conducted sequencing analysis and completed clinical data assembly. All regulatory documents are in place and approved by authorities. Due to the nature of the study and emphasis on prospective sample and data collection, major findings will be reported in the final no-cost extension period.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2023
Accession Number
AD1215034

Entities

People

  • Jun Luo

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Deficiencies
  • Demographic Cohorts
  • Dna Sequence Analysis
  • Electronic Mail
  • Gene Expression
  • Institutional Review Board
  • Maryland
  • Mutations
  • Neoplasms
  • Patent Applications
  • Patents
  • Professional Development
  • Prostate
  • Prostate Cancer
  • Rna Sequence Analysis

Fields of Study

  • Medicine

Readers

  • Molecular and genetic basis of cancer.
  • Neurotrauma and Rehabilitation Medicine.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology