Consistency of c‐Met protein overexpression over time in patients with non‐squamous non‐small cell lung cancer

AIMS: The c-Met signalling pathway is dysregulated in non-small cell lung cancer (NSCLC), with c-Met protein overexpression emerging as a potentially actionable biomarker given the development of c-Met-targeted antibody-drug conjugates. This retrospective study assessed the consistency of c-Met protein overexpression over time in patients with non-squamous NSCLC and two or more longitudinal biopsy samples (one before treatment, one post-treatment). METHODS AND RESULTS: Samples from 160 patients were analysed for c-Met protein expression. The concordance rate for c-Met protein overexpression between samples was 81.3%, indicating most patients had consistent expression status. Patients with an EGFR mutation had a lower concordance rate (65.8%). Fourteen patients with high discordance (negative to positive) between sampling time points showed a high frequency of oncogenic driver alterations, hence often received targeted therapy before the second sample and had high percentages of cells at 2+ intensity in c-Met immunohistochemistry before treatment. CONCLUSIONS: These results indicate c-Met protein overexpression can be assessed before or after treatment since most patients maintain consistent c-Met status. As targeted therapies may elevate c-Met overexpression over time, retesting may be necessary in those with an oncogenic driver alteration initially diagnosed as c-Met negative.

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Publication Details

Journal
Histopathology
Published
2026-06-09
DOI
https://doi.org/10.1111/his.70168
Primary Topic
Liver physiology and pathology
Type
article
Field-Weighted Citation Impact
0.00

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article

Consistency of c‐Met protein overexpression over time in patients with non‐squamous non‐small cell lung cancer

Julien Labreuche, Alexis B. Cortot, Peter Ansell, Eric Wasielewski et al.
Histopathology
Liver physiology and pathology
article

Consistency of c‐Met protein overexpression over time in patients with non‐squamous non‐small cell lung cancer

Julien Labreuche, Alexis B. Cortot, Peter Ansell, Eric Wasielewski, V. Grégoire, Raphaële Thiébaut-Millot, Jean‐Baptiste Gibier, Hélène Behal, Romain Dubois, Virginie Deprez, Dai Feng, Carlos Hader, Amber Lind, Déborah Dubrulle, Thomas Chretien
article en

Abstract

AIMS: The c-Met signalling pathway is dysregulated in non-small cell lung cancer (NSCLC), with c-Met protein overexpression emerging as a potentially actionable biomarker given the development of c-Met-targeted antibody-drug conjugates. This retrospective study assessed the consistency of c-Met protein overexpression over time in patients with non-squamous NSCLC and two or more longitudinal biopsy samples (one before treatment, one post-treatment). METHODS AND RESULTS: Samples from 160 patients were analysed for c-Met protein expression. The concordance rate for c-Met protein overexpression between samples was 81.3%, indicating most patients had consistent expression status. Patients with an EGFR mutation had a lower concordance rate (65.8%). Fourteen patients with high discordance (negative to positive) between sampling time points showed a high frequency of oncogenic driver alterations, hence often received targeted therapy before the second sample and had high percentages of cells at 2+ intensity in c-Met immunohistochemistry before treatment. CONCLUSIONS: These results indicate c-Met protein overexpression can be assessed before or after treatment since most patients maintain consistent c-Met status. As targeted therapies may elevate c-Met overexpression over time, retesting may be necessary in those with an oncogenic driver alteration initially diagnosed as c-Met negative.

Histopathology
Centre National de la Recherche Scientifique (FR), Inserm (FR), Université de Lille (FR), Institut Pasteur de Lille (FR), AbbVie (United States) (US), Centre Hospitalier Universitaire de Lille (FR), Lille’s Cardiology Hospital (FR), Groupe Hospitalier de l'Institut Catholique de Lille (FR)
AbbVie
Good health and well-being
Openalex Percentile: Top 7%
Liver physiology and pathology
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