Evidence map›Paper›PMID 29311302›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Fenofibrate prevents skeletal muscle loss in mice with lung cancer.

Marcus D Goncalves, Seo-Kyoung Hwang, Chantal Pauli, Charles J Murphy, Zhe Cheng, Benjamin D Hopkins, David Wu, Ryan M Loughran, Brooke M Emerling, Guoan Zhang and 2 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
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

85 citing papers in PubMed, 126 citations in OpenAlex.

  1. Article
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  6. Cancer cachexia: molecular basis and therapeutic advances.Signal transduction and targeted therapy · 2026
    Review
  7. Article
  8. Article
  9. Article
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  11. Article
  12. A health-system-scale, episode-resolved multimodal atlas of cancer cachexia.medRxiv : the preprint server for health sciences · 2025
    Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Marcus D GoncalvesMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10021.
Seo-Kyoung HwangMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10021.
Chantal PauliInstitute for Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.
Charles J MurphyMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10021.
Zhe ChengProteomics and Metabolomics Core Facility, Weill Cornell Medicine, New York, NY 10021.
Benjamin D HopkinsMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10021.
David WuMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10021.
Ryan M LoughranMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10021.
Brooke M EmerlingMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10021.
Guoan ZhangProteomics and Metabolomics Core Facility, Weill Cornell Medicine, New York, NY 10021.
Douglas T FearonMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10021.
Lewis C CantleyMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10021; lcantley@med.cornell.edu.
Cornell University · USWeill Cornell Medicine · USCold Spring Harbor Laboratory · USUniversity Hospital of Zurich · CH

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Role of Phosphoinositides and Protein Kinases in the control of Cancer MetabolismR35CA197588 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEWIS C. CANTLEY · 2016 to 2026
$10.2M
Project 3: Physical and Metabolic Constraints of Cancer Cell InvasionU54CA210184 · NCI · CORNELL UNIVERSITY · PI SCHAFFER, CHRIS B · 2016 to 2020
$10.2M
NCI NIH HHS P30 CA045508NCI NIH HHS R35 CA197588NCI NIH HHS U54 CA210184
6 · The paper itself

Abstract

The cancer anorexia cachexia syndrome is a systemic metabolic disorder characterized by the catabolism of stored nutrients in skeletal muscle and adipose tissue that is particularly prevalent in nonsmall cell lung cancer (NSCLC). Loss of skeletal muscle results in functional impairments and increased mortality. The aim of the present study was to characterize the changes in systemic metabolism in a genetically engineered mouse model of NSCLC. We show that a portion of these animals develop loss of skeletal muscle, loss of adipose tissue, and increased inflammatory markers mirroring the human cachexia syndrome. Using noncachexic and fasted animals as controls, we report a unique cachexia metabolite phenotype that includes the loss of peroxisome proliferator-activated receptor-α (PPARα) -dependent ketone production by the liver. In this setting, glucocorticoid levels rise and correlate with skeletal muscle degradation and hepatic markers of gluconeogenesis. Restoring ketone production using the PPARα agonist, fenofibrate, prevents the loss of skeletal muscle mass and body weight. These results demonstrate how targeting hepatic metabolism can prevent muscle wasting in lung cancer, and provide evidence for a therapeutic strategy.

Indexed as

Amino AcidsAnimalsCachexiaCarcinoma, Non-Small-Cell LungDrug Evaluation, PreclinicalFenofibrateGluconeogenesisKetone BodiesLipid MetabolismLiverLung NeoplasmsMaleMechanistic Target of Rapamycin Complex 1MiceMuscle, SkeletalPPAR gammaAmino AcidsFenofibrateKetone BodiesMechanistic Target of Rapamycin Complex 1PPAR gammacachexiafenofibrateglucocorticoidsketonesskeletal muscle

Identifiers

PMID29311302
PMCPMC5789923
OpenAlexW2782608603

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.