Evidence map›Paper›PMID 34428346›Full record

ArticleMolecular oncology2021

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

Stephanie G Craig, Svenja Mende, Matthew P Humphries, Victoria Bingham, Amélie Viratham Pulsawatdi, Maurice B Loughrey, Helen G Coleman, Stephen McQuaid, Richard H Wilson, Sandra Van Schaeybroeck and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Computational and structural biotechnology journal · 2024
    Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Stephanie G CraigPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.
Svenja MendePrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.
Matthew P HumphriesPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.
Victoria BinghamPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.
Amélie Viratham PulsawatdiPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.
Maurice B LoughreyDepartment of Cellular Pathology, Royal Victoria Hospital, Belfast Health and Social Care Trust, Belfast, UK.
Helen G ColemanCentre for Public Health, Queen's University Belfast, UK.
Stephen McQuaidPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.
Richard H WilsonInstitute for Cancer Sciences, University of Glasgow, UK.
Sandra Van SchaeybroeckPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.
Jacqueline A JamesPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.
Manuel Salto-TellezPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, UK.ORCID 0000-0001-8586-282X
Queen's University Belfast · GBUniversity of Glasgow · GB

Funding

Cancer Research UK 15333Cancer Research UK 20256Cancer Research UK C11512/A20256Cancer Research UK C50104/A17592
6 · The paper itself

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.

Indexed as

Colonic NeoplasmsProteomicsBiomarkers, TumorHumansImmunohistochemistryPrognosisBiomarkers, Tumorc-MET IHC proteincolon cancerMET amplificationMET R970C mutationMET RNA-ISHMET T992I mutation

Identifiers

PMID34428346
PMCPMC8637556
OpenAlexW3194143928

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.