Characterizing and Targeting Androgen Receptor Pathway-Independent Prostate Cancer

Abstract

In this proposal, we aimed to test the hypothesis that complete AR pathway inhibition selects for subpopulations of tumor cells that are completely independent of AR signaling and further, that these resistant cells will have activated---and be dependent upon---a limited set of specific survival and growth regulatory pathways that can be identified and targeted. The proposal comprised three Specific Aims: Aim 1 will define the genomic alterations and transcript variants that comprise states of ARIPC. Aim 2 will determine if targeting/inhibiting the survival pathway(s) that emerge following AR pathway ablation will restrain tumor growth. Aim 3 will determine if simultaneously cotargeting the AR pathway and ARIPC survival pathway(s) in AR sensitive prostate cancers will augment tumor responses and delay/prevent recurrences. During this funding period we have: (i) completed laser capture microdissection of CRPC prostate cancers to acquire RNA and DNA; (ii) completed transcript profiling for 196 CRPC metastasis; (iii) completed genomic analyses for 196 prostate cancer metastasis; (iv) identified a program of AR-repressed genes that may influence the development of CRPC; (v) completed preclinical studies of three putative AR-bypass pathways; (vi) completed an integrated molecular analysis of AR bypass pathways; and (vii) completed a preclinical trial co-targeting residual AR signaling with AR bypass that suppressed the growth of advanced prostate cancer.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2013
Accession Number
ADA600571

Entities

People

  • Peter S Nelson

Organizations

  • Fred Hutchinson Cancer Center

Tags

DTIC Thesaurus Topics

  • Cell Physiological Processes
  • Chemistry
  • Dna Microarrays
  • Gene Expression
  • Genetics
  • Health Services
  • Liquid Chromatography
  • Medical Personnel
  • Proteins

Fields of Study

  • Biology

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Prostate Cancer Biology.
  • Software Engineering

Technology Areas

  • Directed Energy