Related Experiment Video
Updated: Oct 23, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
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.
Abstract:
Clinical trials for MET inhibitors have demonstrated limited success for their use in colon cancer (CC). However, clinical efficacy may be obscured by a lack of standardisation in MET assessment for patient stratification. In this study, we aimed to determine the molecular context in which MET is deregulated in CC using a series of genomic and proteomic tests to define MET expression and identify patient subgroups that should be considered in future studies with MET-targeted agents. To this aim, orthogonal expression analysis of MET was conducted in a population-representative cohort of stage II/III CC patients (n = 240) diagnosed in Northern Ireland from 2004 to 2008. Targeted sequencing was used to determine the relative incidence of MET R970C and MET T992I mutations within the cohort. MET amplification was assessed using dual-colour dual-hapten brightfield in situ hybridisation (DDISH). Expression of transcribed MET and c-MET protein within the cohort was assessed using digital image analysis on MET RNA in situ hybridisation (ISH) and c-MET immunohistochemistry (IHC) stained slides. We found that less than 2% of the stage II/III CC patient population assessed demonstrated a genetic MET aberration. Determination of a high MET RNA-ISH/low c-MET IHC protein subgroup was found to be associated with poor 5-year cancer-specific outcomes compared to patients with concordant MET RNA-ISH and c-MET IHC protein expression (HR 2.12 [95%CI: 1.27-3.68]). The MET RNA-ISH/c-MET IHC protein biomarker paradigm identified in this study demonstrates that subtyping of MET expression may be required to identify MET-addicted malignancies in CC patients who will truly benefit from MET inhibition.
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.
More Related Videos
08:12Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
Published on: March 14, 2019
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Related Concept Videos
Cancer Survival Analysis
Targeted Cancer Therapies
There are several types of targeted therapies against...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Comparing the Survival Analysis of Two or More Groups