Evidence map›Paper›PMID 41476922›Full record

ReviewFrontiers in endocrinology2025

The role of PPARγ in cancer cachexia: friend or foe?

Leili Ding, Hao Jiang, Liang Shen, Yiming Xu

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Leili Ding *Department of Thoracic Surgery, Southeast University Affiliated Nantong First People's Hospital, Affiliated Hospital 2 of Nantong University, Nantong First People's Hospital, Nantong, China.
Hao Jiang *Department of Thoracic Surgery, Southeast University Affiliated Nantong First People's Hospital, Affiliated Hospital 2 of Nantong University, Nantong First People's Hospital, Nantong, China.
Liang ShenDepartment of Thoracic Surgery, Southeast University Affiliated Nantong First People's Hospital, Affiliated Hospital 2 of Nantong University, Nantong First People's Hospital, Nantong, China.
Yiming XuDepartment of Thoracic Surgery, Southeast University Affiliated Nantong First People's Hospital, Affiliated Hospital 2 of Nantong University, Nantong First People's Hospital, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cachexia remains a major complication in cancer, with limited therapeutic options. Peroxisome proliferator-activated receptor gamma (PPARγ) has emerged as a key regulator of adipogenesis, lipid metabolism, and inflammation, but its role in cachexia is paradoxical. PPARγ activation can promote lipid storage, suppress inflammation, and modulate muscle-adipose crosstalk, potentially alleviating tissue wasting. Conversely, PPARγ agonists may enhance tumor growth in certain cancers, raising safety concerns. This review examines the dual functions of PPARγ in cancer cachexia, focusing on its regulation of adipose tissue remodeling (including browning and lipid metabolism), skeletal muscle homeostasis, and systemic inflammation, alongside tumor-promoting mechanisms that complicate its therapeutic use. Finally, emerging approaches such as selective PPARγ modulators (SPPARγMs) and tissue-targeted strategies are discussed to maximize anti-cachectic effects while minimizing oncogenic risks. Understanding these context-dependent actions is essential for translating PPARγ modulation into safe, effective cachexia therapies.

Indexed as

CachexiaNeoplasmsPPAR gammaAdipose TissueAnimalsHumansInflammationLipid MetabolismMuscle, SkeletalPPAR gammacancer cachexiainflammationlipolysismuscle wastingPPARγTZDs

Identifiers

PMID41476922
PMCPMC12747945

What Socratic 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 Socratic graph.