Evidence map›Paper›PMID 41718511›Full record

ReviewJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2026

Moving Beyond Morphology: Toward a Morpho-Molecular Classification of Pleural Mesothelioma.

Gabrielle Drevet, Lipika Kalson, Laurane Mangé, Francoise Galateau-Salle, Arnaud Scherpereel, Lara Chalabreysse, Julien Mazières, Luka Brcic, Nicolas Alcala, Jean-Michel Maury and 2 more

Abstract readReview
In one paragraph

Review in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Cellular Plasticity in Malignant Transformation: Mesothelial Cells.Pathobiology : journal of immunopathology, molecular and cellular biology · 2026
    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.

Gabrielle DrevetComputational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France; Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France; EA 3738 CICLY, Lyon 1 Claude Bernard University, Lyon, France.
Lipika KalsonComputational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France; Otto Loewi Research Center, Lung Research Cluster, Medical University of Graz, Graz, Austria.
Laurane MangéComputational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France; Lyon 1 Claude Bernard University, Lyon, France.
Francoise Galateau-SalleCollege MESOPATH, Paris, France; University of Caen Normandie, Caen, France.
Arnaud ScherpereelUniversity of Lille, Centre Hospitalier Universitaire Lille, INSERM, OncoThAI, NETMESO Network, Lille, France.
Lara ChalabreysseDepartment of Pathology, Groupement Hospitalier Est, Bron, France.
Julien MazièresToulouse University Hospital, Université Paul Sabatier, Toulouse, France.
Luka BrcicDepartment of Pathology, Hospital Graz II, Graz, Austria; Department of Pathology, Medical University of Vienna, Vienna, Austria.
Nicolas AlcalaComputational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Jean-Michel MauryDepartment of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France; EA 3738 CICLY, Lyon 1 Claude Bernard University, Lyon, France.
Lynnette Fernandez-CuestaComputational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Matthieu FollComputational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France. Electronic address: follm@iarc.who.int.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite recent advances in the treatment of pleural mesothelioma, it remains a challenging and heterogeneous disease, with limited options for patients. Survival rates have only marginally improved in the past years, highlighting the need for a better biological understanding of the disease for the translation into clinical practice. Although recent years have seen substantial progress in genomics and molecular pathology, much of the existing literature has focused on morphology-correlated changes, with molecular, immunohistochemical, clinical, and blood biomarkers largely studied in a correlative framework. Despite these efforts, TNM classification remains the most powerful predictor of survival and one of the most important parameters to guide therapy in clinical practice. However, emerging evidence reveals that histology alone fails to capture the full heterogeneity of the disease, leading to suboptimal diagnostic, prognostic, and therapeutic approaches. This review summarizes recent major molecular findings relating not only to histology but also ploidy, tumor microenvironment, and methylation-which together offer a more comprehensive understanding of interpatient heterogeneity. In light of these results, we discuss the potential for a new morpho-molecular classification based on these molecular findings to overcome the current clinical challenges. Future directions for the field are also proposed, including the potential for emerging technologies such as single-cell, spatial omics, and artificial intelligence to fill in the gaps of bulk studies and unveil clinically relevant information about pleural mesothelioma tumor heterogeneity.

Indexed as

MesotheliomaPleural NeoplasmsBiomarkers, TumorHumansMesothelioma, MalignantPrognosisBiomarkers, TumorGenomicsMorpho-molecular classificationPleural mesotheliomaSingle-cell sequencingTumor heterogeneity

Identifiers

PMID41718511
PMCPMC13182825

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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.