Evidence map›Paper›PMID 41517855›Full record

ArticleCancer reports (Hoboken, N.J.)2026

A Pan-Subtype Fatty Acid Metabolic Signature Reveals Universal Prognostic Stratification in Breast Cancer.

Yunjian Song, Jiayue Li, Meiyue Zhu, Yi Xia, Deqiang Wang, Zhenhua Sun, Liang Ou, Lei Yang

Abstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2026. 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

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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

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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

8 authors.

Yunjian SongMedical School of Nantong University, Nantong, China.ORCID 0009-0003-5133-1678
Jiayue LiSchool of Public Health, Nantong University, Nantong, China.ORCID 0009-0000-3687-8948
Meiyue ZhuMedical School of Nantong University, Nantong, China.ORCID 0009-0009-0072-6470
Yi XiaMedical School of Nantong University, Nantong, China.ORCID 0009-0007-5691-1304
Deqiang WangComprehensive Cancer Center, Affiliated Hospital of Jiangsu University, Zhenjiang, China.ORCID 0000-0002-8411-312X
Zhenhua SunDepartment of Thyroid and Breast Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China.ORCID 0000-0001-7271-6575
Liang OuDepartment of Thyroid and Breast Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China.ORCID 0009-0000-0438-5647
Lei YangMedical School of Nantong University, Nantong, China.ORCID 0000-0002-1032-2084

Funding

Key Medical Research Projects of Jiangsu Provincial Health Commission K2023026Natural Science Foundation of Jiangsu Province BK20231252
6 · The paper itself

Abstract

backgroundBreast cancer exhibits profound molecular heterogeneity. Each subtype is characterized by distinct biological features, therapeutic responses, and prognostic outcomes. However, a unifying feature across most breast cancer subtypes is an adipocyte-enriched microenvironment. Dysregulated lipid metabolism drives tumor progression across subtypes.

aimsWe developed a universal prognostic model independent of molecular classification based on fatty acid metabolism-related genes.

methodsPrognostic fatty acid metabolism-related genes were identified in the training set using univariate Cox regression. LASSO regression refined these genes to construct the fatty acid metabolic signature for prognosis (FAMOUS), enabling risk stratification. FAMOUS's prognostic utility was validated in the testing set and external cohort, and across molecular subtypes and therapies.

resultsFAMOUS comprises 15 genes. High FAMOUS scores independently predicted poor overall survival in the training set (HR = 4.97, 95% CI: 3.17-7.79; p < 0.001), testing set (HR = 7.39, 95% CI: 2.19-24.97; p = 0.001), and GSE72245 (HR = 7.97, 95% CI: 3.39-18.75; p < 0.001), after adjusting for molecular subtype, stage, and age. It stratified risk across Luminal A, Luminal B, HER2+, and TNBC subtypes and retained prognostic value in patients receiving chemotherapy, radiotherapy, endocrine therapy, or trastuzumab. High FAMOUS scores correlated with immune-suppressive microenvironments, marked by downregulated immune-related pathways and altered immune cell infiltration (e.g., reduced CD8+ T cells, enriched M2 macrophages), suggesting implications for immunotherapy patient stratification.

conclusionFAMOUS is a novel, pan-subtype prognostic tool for breast cancer, transcending molecular classification and therapeutic modalities.

Indexed as

Biomarkers, TumorBreast NeoplasmsFatty AcidsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLipid MetabolismMiddle AgedPrognosisRisk AssessmentTumor MicroenvironmentBiomarkers, TumorFatty Acids

Identifiers

PMID41517855
PMCPMC12789645

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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.