ArticleNPJ precision oncology2026
Patient-derived three-dimensional lung tumor models to evaluate response to therapy.
Article in NPJ precision oncology, 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
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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
1 citing paper in PubMed.
Corrections and comments
- Update of
Authors and funding
17 authors.
Funding
Abstract
Novel preclinical models that better mimic the in vivo tumor microenvironment are essential to advance understanding of tumor biology and resistance/response to therapy. Herein, we report development of a novel ex vivo patient-derived three-dimensional lung tumor model (3D-LTM) for use in evaluating response to therapy. With this model system that maintains cell-cell interactions and tissue architecture, we observed heterogeneity of response to immune checkpoint inhibitors (ICI), as noted in non-small cell lung cancer (NSCLC) patients, and defined gene signatures associated with response. Spatial transcriptomics identified positive correlation of CD8
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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.