Orthogonal MET analysis in a population-representative stage II-III colon cancer cohort: prognostic and potential

Stephanie G Craig1, Svenja Mende1, Matthew P Humphries1

  • 1Precision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.

Molecular Oncology
|August 24, 2021
PubMed

Insights

Limited success of MET inhibitors in colon cancer (CC) may stem from inconsistent MET assessment. This study identified a specific MET expression subtype associated with poor outcomes, suggesting a need for refined patient stratification for targeted therapies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Clinical trials of MET inhibitors in colon cancer (CC) show limited efficacy.
  • Standardization in MET assessment for patient stratification is lacking.
  • Understanding MET deregulation in CC is crucial for effective targeted therapy.

Purpose of the Study:

  • To define the molecular context of MET deregulation in colon cancer.
  • To identify patient subgroups benefiting from MET-targeted agents.
  • To establish a biomarker for MET-addicted malignancies in CC.

Main Methods:

  • Orthogonal expression analysis of MET in a population-representative cohort of stage II/III CC patients (n=240).
  • Targeted sequencing for MET mutations (R970C, T992I).
  • MET amplification assessment using dual-colour dual-hapten brightfield in situ hybridisation (DDISH).
  • Digital image analysis of MET RNA in situ hybridisation (ISH) and c-MET immunohistochemistry (IHC) for protein expression.

Main Results:

  • Less than 2% of CC patients had genetic MET aberrations.
  • A subgroup with high MET RNA-ISH and low c-MET IHC protein expression showed significantly poorer 5-year cancer-specific outcomes (HR 2.12 [95%CI: 1.27-3.68]).
  • This MET RNA-ISH/c-MET IHC protein biomarker paradigm identified a distinct patient subgroup.

Conclusions:

  • Subtyping MET expression is essential for identifying "MET-addicted" colon cancer.
  • Refined patient stratification using MET RNA-ISH and c-MET IHC may improve outcomes with MET inhibitors.
  • This study provides a novel biomarker paradigm for colon cancer treatment strategies.

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