Evidence map›Paper›PMID 40325598›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Stool Microbiome Features and Weight Change Response to Treatment for cancer cachexia.

Rima Nasrah, Mary Kanbalian, Christina Van Der Borch, Ken Dewar, Stéphanie Chevalier, R Thomas Jagoe

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rima NasrahMcGill Cancer Nutrition Rehabilitation Program, Jewish General Hospital (CNR-JGH), Montreal, Canada.ORCID 0009-0005-1759-9018
Mary KanbalianMcGill Cancer Nutrition Rehabilitation Program, Jewish General Hospital (CNR-JGH), Montreal, Canada.
Christina Van Der BorchMcGill Cancer Nutrition Rehabilitation Program, Jewish General Hospital (CNR-JGH), Montreal, Canada.
Ken DewarMcGill Centre for Microbiome Research, McGill University, Montreal, QC, Canada.
Stéphanie ChevalierResearch Institute of the McGill University Health Centre, Montréal, QC, Canada.
R Thomas JagoeMcGill Cancer Nutrition Rehabilitation Program, Jewish General Hospital (CNR-JGH), Montreal, Canada.

Funding

Lady Davis Institute Clinical Research Pilot Project (CliPP), Jewish General HospitalPeter Brojde Lung Cancer Centre and the Backler Foundation, Jewish General Hospital Foundation
6 · The paper itself

Abstract

BACKGROUND AND

aimsCancer cachexia is characterised by significant weight loss and muscle wasting that adversely affects patient outcomes. Nutritional interventions in cancer cachexia leads to improved outcomes, including improved weight change. However, there are wide variations in weight response to dietary interventions. Thus, it remains difficult to predict response to a given increase in dietary intake at an individual patient level. This study aimed to identify gut microbiome features that could serve as potential predictive biomarkers for response to individualized dietary intervention in patients with cancer cachexia attending the McGill Cancer Nutrition-Rehabilitation Program at the Jewish General Hospital (CNR-JGH).

methodsParticipants were recruited from CNR-JGH clinic. Interventions included individualized nutritional counselling by a registered dietitian, to increase energy and protein intake to meet recommended levels. Stool DNA samples were collected at baseline (V1) and visit 2 (V2), and gut microbiome profiles were analysed to assess microbial diversity and identify differentially abundant genera in patients who lost weight (WL, N = 8) vs. maintained/gained weight (WSG, N = 29) at subsequent CNR-JGH clinic visits.

resultsGreater alpha-diversity and higher Lachnospira genus abundance at baseline predicted higher likelihood that patients would have good response to CNR-JGH intervention (WSG at V2). Though predictors of poor response to nutritional intervention (WL at V2) were not identified, subjects in the WL group exhibited lower alpha-diversity and greater microbial population instability after CNR-JGH interventions.

conclusionsIn this cohort of patients with cancer-related weight loss attending a cancer cachexia clinic, certain gut microbiome features were associated with response to dietary interventions. Patients who lost weight after CNR-JGH intervention also developed a less diverse and less stable gut microbiome. Lachnospira genus abundance is a potential predictor of positive weight change response to dietary intervention as part of multimodal care for cancer cachexia, and further confirmatory studies are warranted. In addition, targeted dietary approaches to maintain diversity and gut microbiome population stability may have a role in improving the response to dietary interventions in cancer cachexia.

Indexed as

CachexiaFecesGastrointestinal MicrobiomeNeoplasmsAgedFemaleHumansMaleMiddle AgedWeight Losscancer cachexiagut microbiomemultidisciplinary cachexia clinicnutritional counsellingpredictive biomarkersweight change

Identifiers

PMID40325598
PMCPMC12052804

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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.