Clinically Viable Gene Expression Assays with Potential for Predicting Benefit from MEK Inhibitors

Roz Brant1, Alan Sharpe2, Tom Liptrot3

  • 1Translational Science, Oncology iMED, AstraZeneca, Macclesfield, UK.

Insights

A new gene expression assay accurately measures RAS-ERK pathway activity in non-small cell lung cancer (NSCLC) using formalin-fixed paraffin-embedded tissues. This assay identifies distinct patient populations for MEK inhibitor therapy compared to KRAS mutation testing.

Area of Science:

  • Molecular Oncology
  • Biomarker Discovery
  • Cancer Genomics

Background:

  • The RAS/RAF/MEK/ERK (RAS-ERK) pathway is crucial in non-small cell lung cancer (NSCLC) pathogenesis.
  • Accurate measurement of RAS-ERK pathway functional output is needed for clinical trial hypothesis testing.
  • Current methods may not fully capture pathway activity or be suitable for routine clinical samples.

Purpose of the Study:

  • To develop a clinically viable gene expression assay for RAS-ERK pathway output measurement in NSCLC.
  • To optimize and validate NanoString-based assays for MEK and RAS gene signatures.
  • To assess the utility of these signatures in identifying patient populations for targeted therapies.

Main Methods:

  • Optimization of a published MEK functional activation signature for NSCLC.
  • Development of NanoString assays for MEK and a 147-gene RAS signature.
  • Validation in NSCLC cell lines and formalin-fixed paraffin-embedded tissue (FFPET) samples, assessing platform transfer, modulation, reproducibility, and association with KRAS mutation status.

Main Results:

  • Strong cross-platform correlation and signature modulation observed in vitro.
  • Consistent and robust signature scores in technical and biological replicates, showing conservation between primary and metastatic tumors.
  • Statistically significant associations between high MEK and RAS signature scores and KRAS mutation status in 50 NSCLC samples.

Conclusions:

  • A technically and biologically robust NanoString gene expression assay for MEK pathway output was developed, compatible with FFPET.
  • The gene signatures identified distinct patient populations for MEK inhibitor treatment compared to KRAS mutation testing.
  • Further clinical trial investigation of the MEK signature's predictive power is warranted.

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