Evidence map›Paper›PMID 40095250›Full record

ArticleDiscover oncology2025

Genetic association of lipids and lipid-lowering drug target genes with breast cancer.

Tianhua Wang, Yan Yao, Xinhai Gao, Hao Luan, Xue Wang, Lijuan Liu, Changgang Sun

Abstract read
In one paragraph

Article in Discover oncology, 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. 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

7 authors.

Tianhua WangCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yan YaoDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Xinhai GaoCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Hao LuanInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xue WangCollege of Traditional Chinese Medicine, Shandong Second Medical University, Weifang, China.
Lijuan LiuCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China. hxdhxd19852003@163.com.
Changgang SunDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China. zhongliuyike@163.com.

Funding

Shandong Province Taishan Scholars Specially Appointed Expert Talent Project tstp20221166the Natural Science Foundation of Shandong Province ZR2021LZY015
6 · The paper itself

Abstract

backgroundAlthough several preclinical and epidemiological studies have shown that blood lipids and lipid-lowering drugs can reduce the risk of breast cancer, this finding remains controversial. This study aimed to explore the causal relationship between dyslipidemia,lipid-lowering drugs, and breast cancer. We also aimed to evaluate the potential impact of lipid-lowering drug targets on breast cancer.

methodData of 431 lipid- and lipid-related phenotypes were obtained from genome-wide association study (GWAS), and mendelian randomization (MR) analyses were performed using two independent breast cancer datasets as endpoints. Genetic variants associated with genes encoding lipid-lowering drug targets were extracted from the Global Lipid Genetics Consortium. Expression quantitative trait loci data in relevant tissues were used to further validate lipid-lowering drug targets that reached significance and combined with bioinformatics approaches for molecular expression and prognostic exploration. Further mediation analyses were performed to explore potential mediators.

resultIn two independent datasets, phosphatidylcholine (18:1_0:0 levels) was associated with breast cancer risk (discovery: odds ratio (OR) = 1.255 [95% confidence interval (CI) 1.120-1.406]; p = 8.936 × 10

conclusionIn this study, we found for the first time that phosphatidylcholine (18:1_0:0) levels are associated with breast cancer risk. We found that HMGCR inhibitors are associated with a reduced risk of breast cancer, and part of their action may be through pathways other than lipid-lowering, including modulation of immune function and reduction of inflammation represented by C-reactive protein levels.

Indexed as

Breast cancerLipid-lowering drugsLipidsMendelian randomization

Identifiers

PMID40095250
PMCPMC11914663

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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.