ReviewBMC biology2026
Fusion oncogenes in cancer: organoid models and novel therapeutic approaches.
Review in BMC biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Oncogenic fusions, arising from chromosomal rearrangements, occur in several cancers, particularly in those of pediatric origin. Advances in sequencing technologies have improved fusion detection; yet, understanding their mechanisms and tumorigenic potential remains challenging. This is partly due to the limited availability of faithful human-based model systems. Organoids have emerged as a physiologically relevant model system with in vivo-like traits and have recently allowed to obtain novel mechanistic and therapeutic insights for oncogenic fusion-bearing cancers. This review discusses how, through bottom-up tumor modeling as well as tumoroid derivation, these models are being employed to increase our understanding of fusion-bearing cancers, and how they can help future therapeutic discovery for these tumors.
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What Socratic holds
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 Socratic graph.