ArticleNature biomedical engineering2026
Lung tumouroids as a testing platform for precision CAR T cell therapy.
Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Leveraging Microphysiological Systems to Facilitate Neutrophil-Based Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Application of organoid models in basic and translational research of lung cancer: a narrative review.Translational lung cancer research · 2026Review
- Reimagining human-centric drug development with new approach methodologies.Science (New York, N.Y.) · 2026Review
- Patient-derived lung tumoroids reveal determinants of CAR T cell efficacy in solid tumors.Molecular therapy. Oncology · 2026Article
- 3D models for cancer-microbe interaction studiesFrontiers in immunology · 2026Article
Corrections and comments
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Authors and funding
34 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer, the leading cause of cancer-related mortality, presents major challenges for both standard therapies and chimeric antigen receptor (CAR) T cell therapy due to tumour heterogeneity and resistance. Preclinical models that capture patient-specific factors are essential for personalizing treatment decisions. Here we show that matched lung tumouroids and healthy lung organoids derived from patients provide a robust platform for studying therapy responses. The tumouroids faithfully retained the molecular and histological identity of the original tumours, as confirmed by genomic, epigenomic and proteomic analyses, and accurately replicated individual patient responses to standard-of-care therapies. Importantly, the platform also revealed patient-specific CAR T cell responses, uncovering a complex interplay between target antigen density and broader, tumour-intrinsic resistance programmes. By capturing these individualized factors, our model supports rational patient selection for CAR T cell therapy in lung cancer and provides a framework for designing CAR T cells tailored to overcome resistance mechanisms in solid tumours.
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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 OpenQuestion graph.