Evidence map›Paper›PMID 39994306›Full record

ArticleScientific reports2025

Comprehensive analysis of lipid metabolic signatures identified CEBPD promotes breast cancer cell proliferation.

Yu Zhao, Huan He, Linyan Huang, Linna Yu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. scRNA-Seq reveals anti-lymphoma immune responses in mogamulizumab-associated skin eruptions.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
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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.

Yu ZhaoPeople's Hospital of Qianxinan Prefecture, Xingyi, Guizhou, China.
Huan HePeople's Hospital of Qianxinan Prefecture, Xingyi, Guizhou, China.
Linyan HuangPeople's Hospital of Qianxinan Prefecture, Xingyi, Guizhou, China.
Linna YuPeople's Hospital of Qianxinan Prefecture, Xingyi, Guizhou, China. yulinna8941@163.com.

Funding

Guizhou Province Traditional Chinese Medicine and Ethnic Medicine Science and Technology Research Project QZYY-2023-112
6 · The paper itself

Abstract

Breast cancer (BRCA) remains the leading cause of cancer-related mortality worldwide, with lipid metabolism emerging as a critical factor in tumor progression that influences cell proliferation, migration, and immune response. Insights into lipid metabolism signatures and associated genes may offer new prognostic and therapeutic avenues. In this study, we leveraged scRNA-seq and bulk transcriptome data to assess the expression patterns and prognostic significance of lipid metabolism-related genes in BRCA. Through single-cell transcriptomic analysis of primary BRCA samples, we identified a specific set of lipid metabolism signature genes and constructed a prognostic risk model based on these signatures. This model enables patient stratification by risk scores, supporting an integrated analysis of lipid metabolism, immune landscape, and clinical outcomes. Importantly, we identified CEBPD, ABCA1, and CYP27A1 as independent prognostic genes linked to lipid metabolism, with functional assays revealing an inhibitory role for CEBPD in BRCA cell proliferation. Our findings underscore the influence of adipocytes in BRCA progression and propose CEBPD as a potential target for therapeutic intervention. This study provides a foundation for further exploration of metabolism-based strategies to enhance BRCA outcomes.

Indexed as

Breast NeoplasmsLipid MetabolismATP Binding Cassette Transporter 1Cell Line, TumorCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisSingle-Cell AnalysisTranscriptomeATP Binding Cassette Transporter 1AdipocytesBRCACEBPDCell proliferationSingle-cell sequencing

Identifiers

PMID39994306
PMCPMC11850814

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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.