Evidence map›Paper›PMID 40256431›Full record

ReviewGenes & diseases2025

Lipid metabolism involved in progression and drug resistance of breast cancer.

Wenxiang Fu, Aijun Sun, Huijuan Dai

Abstract readReview
In one paragraph

Review in Genes & diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Hierarchical Targeting of TREM2Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Article
  8. Review
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  10. Article
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  12. Review
  13. Article
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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

3 authors.

Wenxiang FuRenji School of Clinical Medicine, Shanghai Jiaotong University, Shanghai 200127, China.
Aijun SunDepartment of Thyroid and Breast Oncological Surgery, The Affiliated Huaian Hospital of Xuzhou Medical University, Huai'an Second People's Hospital, Huai'an, Jiangsu 223001, China.
Huijuan DaiDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common malignant tumor threatening women's health. Alteration in lipid metabolism plays an important role in the occurrence and development of many diseases, including breast cancer. The uptake, synthesis, and catabolism of lipids in breast cancer cells are significantly altered, among which the metabolism of fatty acids, cholesterols, sphingolipids, and glycolipids are most significantly changed. The growth, progression, metastasis, and drug resistance of breast cancer cells are tightly correlated with the increased uptake and biosynthesis of fatty acids and cholesterols and the up-regulation of fatty acid oxidation. Cholesterol and its metabolite 27-hydroxycholesterol promote the progression of breast cancer in a variety of ways. The alteration of lipid metabolism could promote the epithelial-mesenchymal transition of breast cancer cells and lead to changes in the tumor immune microenvironment that are conducive to the survival of cancer cells. While the accumulation of ceramide in cancer cells shows an inhibitory effect on breast cancer. This review focuses on lipid metabolism and elaborates on the research progress of the correlation between different lipid metabolism and the growth, progression, and drug resistance of breast cancer.

Indexed as

Breast cancerCeramideCholesterolDrug resistanceFatty acidsLipid metabolismTumor progression

Identifiers

PMID40256431
PMCPMC12008617

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.