Evidence map›Paper›PMID 37139970›Full record

ArticleJournal of the National Cancer Institute. Monographs2023

Skeletal muscle omics signatures in cancer cachexia: perspectives and opportunities.

L Anne Gilmore, Traci L Parry, Gwendolyn A Thomas, Andy V Khamoui

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  11. The metabolic basis of cancer-related fatigue.Neuroscience and biobehavioral reviews · 2025
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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

4 authors.

L Anne GilmoreDepartment of Clinical Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-2612-2538
Traci L ParryDepartment of Kinesiology, University of North Carolina Greensboro, Greensboro, NC, USA.
Gwendolyn A ThomasDepartment of Kinesiology, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-2314-4977
Andy V KhamouiDepartment of Exercise Science and Health Promotion, Florida Atlantic University, Boca Raton, FL, USA.ORCID 0000-0003-4449-536X

Funding

UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI JAY D. HORTON · 2022 to 2026
$7.4M
Transdisciplinary Research in Energetics and Cancer (TREC) Training GrantR25CA203650 · NCI · YALE UNIVERSITY · PI IRWIN, MELINDA L · 2016 to 2025
$2.9M
NCI NIH HHS R25 CA203650NIDDK NIH HHS P30 DK127984
6 · The paper itself

Abstract

Cachexia is a life-threatening complication of cancer that occurs in up to 80% of patients with advanced cancer. Cachexia reflects the systemic consequences of cancer and prominently features unintended weight loss and skeletal muscle wasting. Cachexia impairs cancer treatment tolerance, lowers quality of life, and contributes to cancer-related mortality. Effective treatments for cancer cachexia are lacking despite decades of research. High-throughput omics technologies are increasingly implemented in many fields including cancer cachexia to stimulate discovery of disease biology and inform therapy choice. In this paper, we present selected applications of omics technologies as tools to study skeletal muscle alterations in cancer cachexia. We discuss how comprehensive, omics-derived molecular profiles were used to discern muscle loss in cancer cachexia compared with other muscle-wasting conditions, to distinguish cancer cachexia from treatment-related muscle alterations, and to reveal severity-specific mechanisms during the progression of cancer cachexia from early toward severe disease.

Indexed as

CachexiaNeoplasmsHumansMuscle, SkeletalMuscular AtrophyQuality of Life

Identifiers

PMID37139970
PMCPMC10157770

What OpenQuestion holds

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Registered trials

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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.