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Lentiviral vector-based insertional mutagenesis identifies genes involved in the resistance to targeted anticancer

Marco Ranzani1, Stefano Annunziato2, Andrea Calabria3

  • 1San Raffaele Telethon Institute for Gene Therapy, San Raffaele Scientific Institute, Milan, Italy; Current address: Experimental Cancer Genetics, The Wellcome Trust Sanger Institute, Cambridge, UK.

Molecular Therapy : the Journal of the American Society of Gene Therapy
|September 9, 2014
PubMed

Insights

This study introduces a lentiviral vector screening method to find genes causing resistance to cancer drugs. Researchers identified key genes like PIK3CA and PIK3CB, offering new strategies for targeted cancer therapy.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Targeted cancer therapies show promise but often face tumor relapse due to drug resistance.
  • Identifying genes responsible for anticancer drug resistance is crucial for improving long-term treatment outcomes.
  • Lentiviral vectors offer high transduction efficiency, making them suitable for genetic screens in cancer research.

Purpose of the Study:

  • To develop and apply a lentiviral vector-based insertional mutagenesis screening method to identify genes conferring resistance to targeted anticancer therapies.
  • To discover genes associated with resistance to lapatinib in HER2(+) breast cancer and erlotinib in pancreatic cancer.
  • To validate identified resistance genes and assess their clinical relevance in human tumors.

Main Methods:

  • Genome-wide insertional mutagenesis screening using lentiviral vectors.
  • Application of the screening method to HER2(+) breast cancer cell lines to identify lapatinib resistance genes.
  • Validation of candidate genes (e.g., PIK3CA, PIK3CB) through forced expression studies and analysis of clinical tumor data.
  • Extension of the screening approach to pancreatic cancer to identify erlotinib resistance genes.

Main Results:

  • Identified 62 candidate genes conferring resistance to lapatinib in HER2(+) breast cancer.
  • Validated PIK3CA and PIK3CB as key lapatinib resistance genes, with their overexpression linked to poor prognosis in breast tumors.
  • Successfully identified erlotinib resistance genes in pancreatic cancer, demonstrating the method's versatility.

Conclusions:

  • The developed lentiviral vector-based screening is a versatile tool for identifying genes that confer resistance to targeted anticancer drugs.
  • Understanding these resistance mechanisms, exemplified by PIK3CA and PIK3CB in breast cancer, can guide the development of combination therapies.
  • This approach holds potential for overcoming drug resistance and improving the efficacy of cancer treatments.

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