ReviewTranslational lung cancer research2024
Promising preclinical models for lung cancer research-lung cancer organoids: a narrative review.
Review in Translational lung cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- [Standardized Construction of Lung Cancer Organoids and Their Application Progress in the Precise Treatment of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Review
- Reduced graphene oxide-incorporated gelatin-oxidized polymannose scaffold-based 3D Lung cancer model for mimicking the tumor microenvironment.Frontiers in oncology · 2026Article
- Review
- The emerging roles of platelet-derived extracellular vesicles in disease.Annals of medicine · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Traditional cell line models are the commonly used preclinical models for lung cancer research. However, cell lines cannot recapitulate the complex tumor heterogeneity and cannot mimic the microenvironment of human cancer. Recently, 3D multicellular Methods: In this review, we searched the literature in the recent ten years in the field of LCOs. Key Content and Findings: We summarized the methodology, the problems, and the solutions in the LCOs generation, its application and limitations, as well as proposing future challenges and perspectives. Conclusions: Currently, LCOs are successfully generated via exploring the methodology by the researchers. Though there are still challenges in clinical application, LCOs are applied in some cancer studies including investigation of anti-cancer treatment response
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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.