ReviewDisease models & mechanisms2026
Zebrafish against cancer: towards clinical relevance.
Review in Disease models & mechanisms, 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
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Authors and funding
5 authors.
Funding
Abstract
Most cancer therapeutics that show preclinical promise fail in clinical trials, underscoring the need for complementary disease models. Over the past two decades, zebrafish models have matured from a tool for studying vertebrate development into a versatile platform spanning the translational cancer pipeline. Transgenic and transplantation zebrafish models have dissected fundamental mechanisms of tumor initiation and metastasis. Beyond mechanistic insight, phenotypic chemical and genetic screens provide a rapid, whole-organism filter to prioritize and repurpose therapeutic candidates, several of which have reached the clinic. Most recently, zebrafish patient-derived xenografts have begun to predict individual patient treatment responses within clinically actionable timeframes. Tracing this evolution, we argue that zebrafish models are not a replacement for other systems but earn their translational value when applied to the questions they answer best and when embedded in co-clinical workflows alongside oncology teams.
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What OpenQuestion 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 OpenQuestion graph.