Evidence map›Paper›PMID 40082554›Full record

ArticleScientific reports2025

Mesothelioma cell heterogeneity identified by single cell RNA sequencing.

Licun Wu, Zongjie Wang, Amin Zia, Shana O Kelley, Marc de Perrot

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

5 authors.

Licun WuLatner Thoracic Surgery Research Laboratories, Division of Thoracic Surgery, Toronto General Hospital, Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, ON, M5G 1L7, Canada.
Zongjie WangDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
Amin ZiaLatner Thoracic Surgery Research Laboratories, Division of Thoracic Surgery, Toronto General Hospital, Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, ON, M5G 1L7, Canada.
Shana O KelleyDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
Marc de PerrotLatner Thoracic Surgery Research Laboratories, Division of Thoracic Surgery, Toronto General Hospital, Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, ON, M5G 1L7, Canada. marc.deperrot@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesothelioma cell heterogeneity encompasses diverse morphological and molecular characteristics observed within tumors, significantly impacting disease progression, treatment outcomes, and the development of targeted therapies. This heterogeneity has long posed challenges for accurate diagnosis and effective treatment, but understanding its complexities offers the potential for novel diagnostic modalities and therapeutic interventions. This study employed single-cell RNA sequencing (scRNA-seq) to investigate mesothelioma cell heterogeneity from various sources, including cell culture (CC), peritoneal lavage (Lav) from the tumor microenvironment, and circulating tumor cells (CTC) in murine models. Gene set enrichment analysis was used to identify distinct gene signatures for each subpopulation. The results revealed unique characteristics for mesothelioma cells depending on their origin. In the CC group, up-regulated genes were primarily involved in tumor cell cycle control, proliferation, and apoptosis. In the CTC group, up-regulated genes were associated with cancer cell stemness. The Lav group showed up-regulated genes facilitating interactions between tumor cells and the microenvironment, such as epithelial-mesenchymal transition and immune responses mediated by IFN-α and IFN-γ. Some pathways were shared among all tumor cells, suggesting the potential for transitioning between functional states under specific conditions. This may be the first study to explore circulating mesothelioma cell heterogeneity using scRNA-seq. The distinct gene signatures identified in each mesothelioma cell subpopulation likely play critical roles in tumor initiation and progression, offering potential novel targets for therapeutic intervention. These findings could help inform the development of more effective, personalized treatments for mesothelioma, ultimately improving patient outcomes.

Indexed as

Genetic HeterogeneityMesotheliomaSingle-Cell AnalysisAnimalsCell Line, TumorEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceNeoplastic Cells, CirculatingSequence Analysis, RNATumor MicroenvironmentGene set enrichment analysisMesothelioma (MESO)Signaling pathwaySingle cell RNA sequencing (scRNA-seq)Tumor cell heterogeneity

Identifiers

PMID40082554
PMCPMC11906801

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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.