Evidence map›Paper›PMID 40832923›Full record

ArticleFEBS open bio2026

A unified model for Duchenne muscular dystrophy gene involvement in cancer: context-dependent tumour suppression and oncogenicity.

Lee Machado, Leanne Jones, Sonika Divakar, Michael Naidoo, Karen Anthony

Abstract read
In one paragraph

Article in FEBS open bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lee MachadoCentre for Physical Activity and Life Sciences, University of Northampton, UK.ORCID https://orcid.org/0000-0001-7974-2178
Leanne JonesCentre for Physical Activity and Life Sciences, University of Northampton, UK.
Sonika DivakarCentre for Physical Activity and Life Sciences, University of Northampton, UK.
Michael NaidooCentre for Physical Activity and Life Sciences, University of Northampton, UK.
Karen AnthonyCentre for Physical Activity and Life Sciences, University of Northampton, UK.ORCID https://orcid.org/0000-0002-3638-2405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence implicates the Duchenne muscular dystrophy gene (DMD) in tumorigenesis, but survival trends are inconsistent. To resolve this, we conducted a comprehensive global analysis of DMD expression and survival outcomes across 33 tumour types using bulk RNA sequencing data from The Cancer Genome Atlas. We examined the impact of total DMD, individual transcript and dystrophin-associated protein complex (DAPC) gene expression levels on overall survival using Kaplan-Meier analysis, Cox proportional hazard modelling and pathway analysis. DMD expression was significantly associated with survival in nine cancers after Bonferroni correction (α = 0.0015), with high expression linked to either improved or worsened outcomes depending on cancer type. The most abundant DMD transcript, Dp71ab, mirrored total DMD trends, distinguishing two tumour groups with opposing survival associations. Hierarchical clustering suggests these divergent effects may be linked to a subset of signalling and adhesion-related DAPC components. Our findings indicate that DMD does not act uniformly as an oncogene or tumour suppressor. Instead, we propose a context-dependent dual model whereby high DMD expression is tumour suppressive in aggressive cancers and oncogenic in less aggressive tumours.

Indexed as

DystrophinMuscular Dystrophy, DuchenneNeoplasmsCarcinogenesisGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansKaplan-Meier EstimateOncogenesDMD protein, humanDystrophincancerDp71Duchennedystrophindystrophin‐associated protein complex

Identifiers

PMID40832923
PMCPMC12767769

What OpenQuestion holds

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Registered trials

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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.