Evidence map›Paper›PMID 40487055›Full record

ArticlePeerJ2025

Optimizing muscle mass and function in advanced lung cancer patients: randomized, double-blind, placebo-controlled trial protocol using High Eicosapentaenoic acid and PROtein (HEPRO) to modulate epigenetics, reduce toxicity and improve gut microbiota.

Imanuely Borchardt, Carla Prado, Tatiane Montella, Gisele Fraga Moreira, Gisele Farias, Marina Xavier Reis, Fernanda Taveira, Fernanda Carneiro Dias, Pedro De Marchi, Alberto Davalos and 4 more

Abstract readClinical Trial Protocol
In one paragraph

Article in PeerJ, 2025. 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

14 authors.

Imanuely BorchardtInstitute of Nutrition Josué de Castro of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Carla PradoHuman Nutrition Research Unit, Department of Agricultural, Food & Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada.
Tatiane MontellaOncoclínicas & Co-Medica Scientia Innovation Research, São Paulo, São Paulo, Brazil.
Gisele Fraga MoreiraOncoclínicas & Co-Medica Scientia Innovation Research, São Paulo, São Paulo, Brazil.
Gisele FariasOncoclínicas & Co-Medica Scientia Innovation Research, São Paulo, São Paulo, Brazil.
Marina Xavier ReisOncoclínicas & Co-Medica Scientia Innovation Research, São Paulo, São Paulo, Brazil.
Fernanda TaveiraOncoclínicas & Co-Medica Scientia Innovation Research, São Paulo, São Paulo, Brazil.
Fernanda Carneiro DiasOncoclínicas & Co-Medica Scientia Innovation Research, São Paulo, São Paulo, Brazil.
Pedro De MarchiOncoclínicas & Co-Medica Scientia Innovation Research, São Paulo, São Paulo, Brazil.
Alberto DavalosLaboratory of Epigenetics of Lipid Metabolism, Madrid Institute for Advanced Studies (IMDEA), Madrid University, Madri, Spain.
Carolina Alves Costa SilvaClinicobiome, Gustave Roussy Cancer Campus, Villejuif Cedex, France.
Carlos GilMoreira FerreiraOncoclínicas & Co-Medica Scientia Innovation Research, São Paulo, São Paulo, Brazil.
Andreia MeloOncoclínicas & Co-Medica Scientia Innovation Research, São Paulo, São Paulo, Brazil.
Wilza PeresInstitute of Nutrition Josué de Castro of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer is strongly associated with malnutrition and detrimental changes in muscle mass (MM), which can lead to reduced quality of life and reduced tolerance to and efficacy of antineoplastic treatment. The loss of MM and myosteatosis (fat infiltration into muscle) have been linked to inflammation in cancer, and n-3 polyunsaturated fatty acids (PUFA) found in fish oil are known to modulate inflammatory response, lean mass, microbiota, and epigenetic mechanisms. Methods: High Eicosapentaenoic acid and PROtein (HEPRO) is a randomized, double-blind, placebo-controlled clinical trial. A total of 50 patients over 20 years of age diagnosed with stage III or IV non-small cell lung cancer with an ECOG performance status of 0-2 who are eligible for systemic treatment will be included and randomized 1:1 into two treatment arms: four fish oil capsules containing 2,100 mg EPA and 924 mg DHA per day versus four placebo capsules containing 2,250 mg oleic acid per day for 4 months. All patients will be instructed to consume 1.5 g protein per kg body weight per day and receive protein supplementation if necessary. MM, myosteatosis, muscle function, handgrip strength, dietary assessment, toxicity, response to treatment, and survival will be assessed. Translational research includes membrane phospholipid composition, gut microbiota, inflammation, and miRNA. MicroRNA will be analyzed by quantitative real-time polymerase chain reaction, phospholipids, by gas chromatography, and microbiota, by 16S ribosomal RNA genetic sequencing. Statistical analysis will be conducted using IBM SPSS Statistics V.26 and a multiple regression model will be proposed. Associations with Conclusions: The HEPRO study aims to evaluate a viable dietary intervention strategy to improve MM and function in patients with lung cancer.

Indexed as

Carcinoma, Non-Small-Cell LungEicosapentaenoic AcidEpigenesis, GeneticGastrointestinal MicrobiomeLung NeoplasmsMuscle, SkeletalAdultAgedDouble-Blind MethodFemaleFish OilsHumansMaleMiddle AgedRandomized Controlled Trials as TopicEicosapentaenoic AcidFish OilsBody compositionGut microbiotaLung cancerMicroRNAMuscle functionOmega 3

Identifiers

PMID40487055
PMCPMC12143283

What OpenQuestion holds

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LicenceCC BY-NC
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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.