ArticleScientific reports2025
Mesothelioma cell heterogeneity identified by single cell RNA sequencing.
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.
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.
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.
Who cites it
3 citing papers in PubMed.
- Mesothelioma location influences the tumour microenvironment and immune checkpoint therapy response in preclinical models.Scientific reports · 2026Article
- Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.Cancer metastasis reviews · 2025Review
- Combined quetiapine and radiation therapy approach to treat mesothelioma-initiating cells and increase survival in a mouse model of mesothelioma.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.