Evidence map›Paper›PMID 42374406›Full record

ArticleMolecular cancer2026

A plasma proteomic signature of cancer-related sarcopenia implicates the IGFBP axis in muscle dysfunction.

Filippo Gustavo Dall'Olio, Wael Salem Zrafi, Xinran Song, Littisha Lawrance, Ekaterina Shalimanova, Anna Schwager, Nadia Myszka, Fei Chen, Rebecca Ibrahim, Marie Guinhut and 17 more

Registry-linked trialAbstract read
In one paragraph

Article in Molecular cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02517892 (A Prospective Trial to Study the Evolution of Clonal Architecture of Tumors From Patients Treated With Molecular Targeted Agents), which is not on this map. Not yet cited in PubMed.

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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.

NCT02517892 nacompletednot on this map

A Prospective Trial to Study the Evolution of Clonal Architecture of Tumors From Patients Treated With Molecular Targeted Agents

TypeinterventionalSponsorGustave Roussy, Cancer Campus, Grand ParisRan2014 to 2025Enrolled1,500ConditionsMetastatic Oncogen-driven CancerArmsBiopsy
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

27 authors.

Filippo Gustavo Dall'OlioGustave Roussy Cancer Center, Paris-Saclay University, Villejuif, France. Filippogustavo.DALL-OLIO@gustaveroussy.fr.
Wael Salem Zrafi *Department of Biostatistics and Bioinformatics, Gustave Roussy, Gustave Roussy, Villejuif, France.
Xinran Song *CNRS, Gustave Roussy, cancer biology and metabolism, Université Paris-Saclay, Villejuif, France.
Littisha LawranceDepartment of Diagnostic Oncologic Imaging Guerbet Research, Villepinte, 93420, France.
Ekaterina ShalimanovaCNRS, Gustave Roussy, cancer biology and metabolism, Université Paris-Saclay, Villejuif, France.
Anna SchwagerCNRS UMR3244 Institut Curie, Paris, France.
Nadia MyszkaCNRS, Gustave Roussy, cancer biology and metabolism, Université Paris-Saclay, Villejuif, France.
Fei ChenCNRS, Gustave Roussy, cancer biology and metabolism, Université Paris-Saclay, Villejuif, France.
Rebecca IbrahimGustave Roussy Cancer Center, Paris-Saclay University, Villejuif, France.
Marie GuinhutGustave Roussy Cancer Center, Nutrition unit, Paris-Saclay University, Villejuif, France.
Pierre BussonCNRS, Gustave Roussy, cancer biology and metabolism, Université Paris-Saclay, Villejuif, France.
Catherine BrennerCNRS, Gustave Roussy, cancer biology and metabolism, Université Paris-Saclay, Villejuif, France.
Karim BenihoudCNRS, Gustave Roussy, cancer biology and metabolism, Université Paris-Saclay, Villejuif, France.
Fabrice BarlesiGustave Roussy Cancer Center, Paris-Saclay University, Villejuif, France.
Caroline EvenGustave Roussy Cancer Center, Paris-Saclay University, Villejuif, France.
Dimitria BrempouCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Nathalie LassauGustave Roussy Cancer Center, Paris-Saclay University, Villejuif, France.
Claudio NicotraGustave Roussy, Drug Development Department (DITEP), Villejuif, France.
Maud Ngo CamusGustave Roussy, Drug Development Department (DITEP), Villejuif, France.
Marine AglaveDépartement de la recherche, Gustave Roussy, Villejuif, F-94805, France.
Yohann LoriotGustave Roussy, Drug Development Department (DITEP), Villejuif, France.
Diana CardenasGustave Roussy Cancer Center, Nutrition unit, Paris-Saclay University, Villejuif, France.
Mariam Jamal-HanjaniCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Carla M PradoDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Antoine ItalianoGustave Roussy, Drug Development Department (DITEP), Villejuif, France.
Yegor Vassetzky *CNRS, Gustave Roussy, cancer biology and metabolism, Université Paris-Saclay, Villejuif, France. Yegor.VASSETZKY@gustaveroussy.fr.
Benjamin Besse *Gustave Roussy Cancer Center, Paris-Saclay University, Villejuif, France.

Funding

Canceropole Île-de-France 2024-1-EMERG-06
6 · The paper itself

Abstract

backgroundCancer-related sarcopenia is associated with poor clinical outcomes but remains difficult to define and quantify in routine oncology practice. Current assessments rely on imaging and functional scales that are time-consuming and provide limited biological insight. We aimed to identify a plasma proteomic signature of cancer-related sarcopenia and to uncover circulating mediators involved in its pathophysiology.

methodsPatients were included from two cohorts of the MATCH-R study (NCT02517892): a discovery cohort of advanced cancer patients treated with immunotherapy and an independent validation cohort of metastatic castration-resistant prostate cancer (mCRPC) patients treated with androgen-receptor pathway inhibitors. External validation was performed in the TRACERx cohort of non-small cell lung cancer. Skeletal muscle index at third lumbar vertebra (L3) was quantified using imaging, and ECOG performance status served as a functional proxy. Plasma proteomics was performed using the Olink Explore platform. An extreme gradient boosting (XGBoost) model was trained on a high-contrast subset using a neuromuscular-focused protein panel and validated across cohorts. Functional effects of candidate mediators were assessed in differentiating human myoblasts.

resultsThe model generated a continuous sarcopenia probability (SP) score that correlated with muscle mass and functional status and consistently stratified overall survival across cohorts. A reduced four-protein model retained comparable performance, supporting translational applicability. Proteins associated with SP included insulin-like growth factor binding protein 1 and 2 (IGFBP1, IGFBP2), and interleukin-6 (IL6). IGFBP1 and IGFBP2 impaired myoblast differentiation, while IL6 induced IGFBP1 expression in liver cells.

conclusionsPlasma proteomics enables scalable and biologically informed assessment of cancer-related sarcopenia, identifies tumor-host mediators of muscle dysfunction, and supports objective patient stratification for therapeutic intervention.

Indexed as

Insulin-Like Growth Factor Binding Protein 1Insulin-Like Growth Factor Binding Protein 2Insulin-Like Growth Factor Binding ProteinsMuscle, SkeletalNeoplasmsProteomeProteomicsSarcopeniaAgedBiomarkers, TumorHumansMaleMiddle AgedBiomarkers, TumorIGFBP1 protein, humanIGFBP2 protein, humanInsulin-Like Growth Factor Binding Protein 1Insulin-Like Growth Factor Binding Protein 2Insulin-Like Growth Factor Binding ProteinsProteome

Identifiers

PMID42374406
PMCPMC13647849

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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.