A novel approach to identify driver genes involved in androgen-independent prostate cancer

Ellyn N Schinke, Victor Bii, Arun Nalla

  • 1Department of Pharmaceutical Sciences, Washington State University, Spokane, WA 99210-1495, USA. grant.trobridge@wsu.edu.

Molecular Cancer
|June 3, 2014
PubMed
Abstract

Insights

This study used a lentiviral vector for insertional mutagenesis to find genes driving androgen-independent prostate cancer (AIPC). The method identified five candidate genes, including ATPAF1, offering new avenues for AIPC research and treatment.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Insertional mutagenesis screens identify cancer-driving genes using viral vectors or transposons.
  • Previous methods generated passenger mutations, complicating cancer progression analysis.
  • A replication-incompetent lentiviral vector (LV) was employed to overcome these limitations.

Purpose of the Study:

  • To identify genes involved in the progression to androgen-independent prostate cancer (AIPC).
  • To utilize an LV-based insertional mutagenesis screen for cancer gene discovery.

Main Methods:

  • Prostate cancer cells were mutagenized with an LV to select for clones with a growth advantage in androgen deficiency.
  • Both in vitro and in vivo AIPC models were used.
  • A novel shuttle vector facilitated rapid rescue of LV-chromosome junctions without PCR amplification.

Main Results:

  • Proviral integrations were significantly enriched near prostate cancer susceptibility loci (p < 0.001).
  • Five candidate genes (ATPAF1, GCOM1, MEX3D, PTRF, TRPM4) influencing AIPC were identified.
  • RNAi knockdown of ATPAF1 markedly reduced growth in androgen-deficient conditions (p < 0.05).

Conclusions:

  • The LV-based approach effectively identified genes in prostate cancer progression, including known (PTRF) and novel candidates.
  • This method has broad applications for discovering cancer genes and studying biological processes.
  • The replication-incompetent shuttle vector system offers advantages for genetic screens.