ReviewTranslational lung cancer research2025
Lung cancer organoids: a new strategy for precision medicine research.
Review in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Bibliometric analysis of lung cancer organoid research: trends and emerging areas of study.Journal of thoracic disease · 2026Article
- Recapitulating lung cancer metastasisOncology reports · 2026Review
- Lung organoids for respiratory diseases: overcoming translational hurdles in drug discovery and safety assessment.Frontiers in bioengineering and biotechnology · 2026Review
- Lung cancer organoids for functional precision oncology: from disease modeling to clinical decision support.Frontiers in oncology · 2026Review
- SRSF3 knockdown-induced cellular senescence as a possible therapeutic strategy for non-small cell lung cancer.Carcinogenesis · 2025Article
- Orthotopically Implanted Murine Lung Adenocarcinoma Cell Lines for Preclinical Investigations.Cancers · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article discusses new strategies for lung cancer organoids (LCOs) in precision medicine research. Precision medicine aims to identify and develop highly selective drugs targeted at specific disease markers for precise treatment. Given the genetic diversity among lung cancer cells, it is evident that different tumor cells may respond differently to various treatment regimens. LCOs can not only faithfully reproduce the pathological and genomic characteristics of samples, maintaining most variations, including driver gene mutations, but also preserve the cytological features of malignant tumor cells, showing a highly correlated in vitro drug screening response with the mutation spectrum in primary tumors. At this stage, several large-scale LCO biobanks have been established, providing ample sample resources for researchers. Based on this, the development of emerging technologies is expected to overcome limitations in the success rate, accuracy, and stability of the organoid culture process, significantly enhancing the level of precision medicine for lung cancer. This article mainly introduces the applications of LCO models in basic research, including the identification of drug targets, prediction of treatment efficacy, and overcoming drug resistance, assisting in the formulation of personalized treatment plans to improve treatment outcomes. Additionally, the article emphasizes the potential of cancer organoid co-culture models in the field of immunotherapy and their key role in advancing the evolution of precision medicine treatment strategies.
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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.