ReviewCancer drug resistance (Alhambra, Calif.)2026
Immunotherapy resistance and strategies in malignant pleural mesothelioma.
Review in Cancer drug resistance (Alhambra, Calif.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malignant pleural mesothelioma (MPM) remains one of the most aggressive thoracic malignancies, characterized by profound resistance to conventional modalities such as surgery, chemotherapy, and radiotherapy, resulting in persistently poor survival outcomes. The advent of immune checkpoint inhibitors (ICIs) has fundamentally reshaped the therapeutic landscape of MPM. Notably, dual programmed cell death protein 1 (PD-1)/cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) blockade has demonstrated superior efficacy over monotherapy in multiple phase I/II trials and has been established as a novel first-line standard of care. Nevertheless, the high incidence of resistance continues to pose a major clinical challenge. This therapeutic bottleneck is largely attributed to the unique biology of MPM, including a profoundly immunosuppressive tumor microenvironment, aberrantly activated signaling pathways, and complex metabolic reprogramming, which together form a multilayered defense network against immune attack. In response to this intricate resistance architecture, recent research efforts have increasingly focused on the development of precision combination strategies. By rationally integrating ICIs with anti-angiogenic agents, chemotherapy, metabolic modulators, and next-generation cellular immunotherapies [e.g., chimeric antigen receptor T cells (CAR-T), chimeric antigen receptor-natural killer (CAR-NK)], these approaches aim to dismantle immune evasion barriers and reinvigorate antitumor immunity. Concurrently, the discovery of novel biomarkers and their integration with multi-omics data are enabling more precise patient stratification, signaling the advent of an era of personalized immunotherapy for MPM. This review provides a systematic synthesis of the latest clinical advances and fundamental breakthroughs in MPM immunotherapy, with a particular focus on dissecting the multifactorial mechanisms underlying therapeutic resistance. Its core contribution lies in constructing a forward-looking framework for next-generation treatment strategies. It critically evaluates the translational potential of emerging approaches, including arginine deprivation therapy for argininosuccinate synthase 1 (ASS1)-deficient tumors, CAR-T cells, T-cell receptor fusion constructs, and oncolytic virotherapy. By integrating these innovative modalities with biomarker-guided patient selection, this review delineates a roadmap for transitioning MPM management from empirical therapy toward precision immuno-oncology, with the ultimate goal of achieving durable disease control in this challenging malignancy.
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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 Socratic graph.