ReviewCancers2026
Clinical Importance of Molecular Biomarkers in Pleural Mesothelioma.
Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- CT-based deep learning for survival stratification in EGFR-mutant lung adenocarcinoma after EGFR-TKI resistance: A multicenter study.iScience · 2026Article
- The Prognostic Significance of BRCA1-Associated Protein 1(BAP1) in Malignant Pleural Mesothelioma: A Systematic Review and Meta-Analysis.Clinical Medicine Insights. Oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pleural mesothelioma (PM) is a rare malignancy with opportunities for improvement in current treatment paradigms despite recent advances in systemic therapy. While histology remains the most clinically relevant prognostic indicator, the expanding use of immunotherapy and ongoing clinical trials involving targeted therapies have increased interest in the development of predictive and prognostic biomarkers in this disease. This review summarizes the current biologic and therapeutic landscape of PM and the biomarkers that influence prognosis and treatment response. Biomarkers such as programmed death ligand 1 (PD-L1) expression and tumor mutational burden (TMB) demonstrate inconsistent predictive value in PM and are not currently used in clinical decision pathways in the real-world setting. This review highlights the developing role of dynamic biomarkers such as circulating tumor DNA (ctDNA) for molecular response assessment and minimal residual disease (MRD) detection. This review also examines important genomic and transcriptomic alterations in PM, such as MTAP, BAP1, CDKN2A, and NF2/YAP/TEAD. These alterations provide potential targets for ongoing early-phase clinical trials. Future advances in PM will depend on the development and integration of comprehensive biomarker models that combine clinicopathologic, immune, and molecular features of this complex and heterogenous disease.
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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.