ReviewDiscover oncology2025
Applications and challenges of Drosophila melanogaster as a laboratory model in human cancer research: a narrative review.
Review in Discover oncology, 2025. 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
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
4 citing papers in PubMed.
- A Landscape ofBiology · 2026Review
- Review
- Credit to the Fruit Fly: How the Tiny Insect Lights Up Our Understanding of Human Disease.Insects · 2026Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDrosophila melanogaster, a well-established model organism in biomedical research, has significantly advanced our understanding of genetic mechanisms underlying human diseases. Its genetic similarity to humans, with approximately 75% of human disease-related genes having orthologues in the fly genome, renders it a valuable tool for studying complex conditions like cancer. The organism's low cost, short life cycle, and manipulable genome make it ideal for high-throughput studies. MAIN TEXT: Recent advances have enabled the use of Drosophila as a model for different cancer types, including colorectal, thyroid, lung, and brain cancers. These models replicate key tumor characteristics such as cell proliferation, invasion, and metastasis. Drosophila's utility in drug screening has been exemplified through heterochromatin-promoting assays and personalized medicine approaches using patient-specific gene expression data. Its role in testing therapeutic combinations, such as MEK inhibitors with statins for lung cancer, underscores its translational potential. Despite its utility, the model has notable limitations. Differences in tumor biology between flies and humans, especially regarding organ systems and immune responses, limit its applicability in certain cancer types and metastatic studies. Furthermore, environmental influences and the simplified genetic background of Drosophila may not accurately represent human cancer complexity. Ethical concerns and translational challenges also exist, warranting cautious interpretation of results. The recent advancements in CRISPR-based genome editing, particularly cytosine and adenine base editors, have improved gene-editing efficiency in Drosophila, supporting its ongoing use in precision oncology. Future directions point toward integrating Drosophila models with other in vivo and in silico systems to optimize personalized drug discovery and better emulate human tumor heterogeneity.
conclusionWhile the use of Drosophila melanogaster has intrinsic limitations, its genetic tractability and compatibility with cutting-edge genomic tools position it as a complementary model to mammalian systems. Continued innovations in genetic engineering and model integration will further strengthen its role in translational oncology and precision medicine. This review explores the applications of the model in human cancer research and highlights the major challenges with its use. This is crucial for the fight against cancer, as it helps inform researchers of the potential areas that require further research, especially with the rapid evolution of personalised medicine.
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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.