Evidence map›Paper›PMID 42891722›Full record

ReviewJournal of muscle research and cell motility2026

Emerging roles of OSM and EDA2R-NIK signalling in cancer-associated muscle wasting.

Zuleyha Yildirim, Aleyna Kizilyer, Serkan Kir

Abstract readReview
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In one paragraph

Review in Journal of muscle research and cell motility, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Zuleyha YildirimDepartment of Molecular Biology and Genetics, Koc University, Istanbul, 34450, Turkey.ORCID http://orcid.org/0009-0001-8584-707X
Aleyna KizilyerDepartment of Molecular Biology and Genetics, Koc University, Istanbul, 34450, Turkey.ORCID http://orcid.org/0009-0005-1580-0806
Serkan KirDepartment of Molecular Biology and Genetics, Koc University, Istanbul, 34450, Turkey. skir@ku.edu.tr.ORCID https://orcid.org/0000-0001-8722-9913

Funding

Koç Üniversitesi Postdoctoral fellowshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu 124Z372
6 · The paper itself

Abstract

Cancer-associated cachexia (CAC) is a multifactorial metabolic syndrome characterized by progressive skeletal muscle wasting that reduces physical function, compromises treatment tolerance, and contributes to cancer-related mortality. Although systemic inflammation is a major driver of CAC, the mechanisms through which circulating inflammatory signals are translated into muscle-specific catabolic programmes remain incompletely understood. Recent studies have identified oncostatin M (OSM), a member of the IL-6 cytokine family, as an important mediator of cancer-induced muscle wasting through OSM/JAK/STAT3 signalling. OSM also induces the expression of ectodysplasin A2 receptor (EDA2R) in skeletal muscle, which engages NF-κB-inducing kinase (NIK)-dependent non-canonical NF-κB signalling to promote atrophy-related gene expression, proteolysis, and metabolic dysfunction. Beyond CAC, the emerging association of EDA2R with aging, muscle-wasting disorders, and circulating disease signatures highlights its broader biological and translational relevance. In this review, we discuss recent advances in the understanding of mechanisms underlying skeletal muscle wasting linked to CAC. Specifically, we focus on OSM/JAK/STAT3 and EDA2R-NIK signalling and explore their potential implications for targeted therapeutic strategies.

Indexed as

CachexiaMuscular AtrophyNeoplasmsOncostatin MSignal TransductionAnimalsHumansMuscle, SkeletalOncostatin MCancer-associated cachexiaEDA2RNF-κB signallingNIKOncostatin MSkeletal muscle wasting

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.