Evidence map›Paper›PMID 40487761›Full record

ReviewFrontiers in endocrinology2025

Modulation of lipid metabolism by exercise: exploring its potential as a therapeutic target in cancer endocrinology.

Haodong Liu, Tong Yang, Seongbeom Choi

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
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

3 authors.

Haodong LiuCollege of Arts & Physical Education, Gangneung-Wonju National University, Gangneung-si, Gangwon-do, Republic of Korea.
Tong YangCollege of Arts & Physical Education, Gangneung-Wonju National University, Gangneung-si, Gangwon-do, Republic of Korea.
Seongbeom ChoiCollege of Arts & Physical Education, Gangneung-Wonju National University, Gangneung-si, Gangwon-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer progression is tightly linked to metabolic changes, particularly in lipid metabolism, which is crucial for tumor growth and metastasis. Exercise, known for its health benefits, is gaining recognition for its ability to influence cancer-related lipid metabolism. Metabolic shift prioritizes lipid oxidation over glucose metabolism, hence limiting the energy supply available to tumor cells and reducing their metabolic adaptability. Exercise also enhances mitochondrial function and aids the immune system, further bolstering its anti-cancer effects. Additionally, exercise mitigates cancer-related symptoms like fatigue, improves insulin sensitivity, and counteracts metabolic issues such as cachexia. Despite promising insights from studies, challenges persist in comprehending the molecular mechanisms of exercise's impact on lipid metabolism in cancer. Future research should aim to identify optimal exercise regimens for cancer patients, explore the combined effects of exercise and cancer treatments, and delve into the molecular pathways connecting exercise with tumor suppression. With its potential benefits, exercise could act as a supportive therapy alongside conventional cancer treatments, enhancing patient outcomes and quality of life.

Indexed as

ExerciseExercise TherapyLipid MetabolismNeoplasmsAnimalsEnergy MetabolismHumanscancercancer treatmentexerciselipid metabolismlipid oxidation

Identifiers

PMID40487761
PMCPMC12141028

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.