Evidence map›Paper›PMID 41888914›Full record

ArticleCancer medicine2026

A Butyrate Metabolism-Related Gene Signature Predicts Prognosis, Immune Landscape, and Immunotherapy Efficacy in Breast Cancer.

Xu Wang, Xuefeng Zheng, Zhan Tuo, Wenjie Sun, Yexiong Li, Hong Ge, Nannan Zhang

Abstract read
In one paragraph

Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xu WangDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Xuefeng ZhengDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Zhan TuoDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Wenjie SunDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.ORCID https://orcid.org/0000-0003-3955-4847
Yexiong LiDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Hong GeDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.ORCID https://orcid.org/0000-0002-2958-3866
Nannan ZhangDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.ORCID https://orcid.org/0009-0003-6125-6050

Funding

Key Technologies R & D Program of the Henan Provincial Department of Science and Technology 222102310350Key Technologies R & D Program of the Henan Provincial Department of Science and Technology 222102310432National Natural Science Foundation of China 82203285National Natural Science Foundation of China 82302951National Science and Technology Major Project of the Ministry of Science and Technology of China 2023ZD0502200Natural Science Foundation of Henan Province 242300421508
6 · The paper itself

Abstract

Emerging evidence highlights the critical role of metabolic pathways in breast cancer (BC) progression. Here, we developed a butyrate metabolism-specific gene (BMRG) signature to predict clinical outcomes and immunotherapy responses in BC, providing a novel pathway-focused prognostic tool. Using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), we identified 102 butyrate metabolism-related differentially expressed genes (DEGs) through the intersection of DEGs, WGCNA-derived key module genes, and BMRGs. Univariate Cox followed by least absolute shrinkage and selection operator (LASSO) analysis identified nine genes to construct a prognostic signature, which served as an independent prognostic factor. Risk stratification revealed distinct immune microenvironment and mutation landscapes between subgroups, with risk scores strongly correlating with immune checkpoint expression. The signature exhibited robust prognostic performance, with AUC values for 3-, 5-, and 7-year overall survival ranging from 0.65-0.69 in TCGA and 0.57-0.77 in independent GEO cohorts. Protein-protein interaction analysis identified ACSL1 as a key hub gene, and functional validation confirmed that ACSL1 knockdown suppressed BC cell proliferation and migration. Our findings establish this novel nine-gene butyrate metabolism-specific signature as a promising prognostic biomarker and potential therapeutic target for BC, providing a metabolism-focused perspective for personalized BC management.

Indexed as

Biomarkers, TumorBreast NeoplasmsButyratesImmunotherapyCoenzyme A LigasesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisTranscriptomeTumor MicroenvironmentACSL1 protein, humanBiomarkers, TumorButyratesCoenzyme A Ligasesbreast cancerbutyrate metabolismprognostic signaturerisk scoretumor immune microenvironment

Identifiers

PMID41888914
PMCPMC13140982

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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.