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A distinct p53 target gene set predicts for response to the selective p53-HDM2 inhibitor NVP-CGM097

Sébastien Jeay1, Swann Gaulis1, Stéphane Ferretti1

  • 1Disease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.

Elife
|May 13, 2015
PubMed

Insights

Researchers discovered a 13-gene signature that predicts sensitivity to p53-HDM2 inhibitors like NVP-CGM097. This biomarker can improve patient selection for targeted anti-cancer therapies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Targeted anti-cancer therapies require effective biomarkers for patient selection.
  • The p53 pathway is a critical target in cancer treatment.
  • NVP-CGM097 is an investigational p53-HDM2 inhibitor undergoing clinical trials.

Purpose of the Study:

  • To discover a novel patient selection strategy for the p53-HDM2 inhibitor NVP-CGM097.
  • To identify a predictive gene expression signature for NVP-CGM097 sensitivity.

Main Methods:

  • Intersecting high-throughput cell line sensitivity data with genomic data.
  • Identifying a gene expression signature predictive of drug response.
  • Validating the signature in cell lines and patient-derived tumor xenograft models.

Main Results:

  • A 13-gene expression signature, comprising up-regulated genes, was identified.
  • This signature accurately predicts sensitivity to NVP-CGM097.
  • The identified genes are downstream targets of p53, indicating p53 pathway activation.

Conclusions:

  • The 13-gene signature serves as a predictive biomarker for NVP-CGM097.
  • This signature can refine patient selection for p53-HDM2 inhibitors.
  • Utilizing this biomarker may enhance treatment response rates in patients with wild-type p53 tumors.
Keywords:
HDM2humanhuman biologymedicinep53predictive signaturetranslational oncology

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