Evidence map›Paper›PMID 42084806›Full record

ArticleDiscover oncology2026

SMARCA4 mutations drive metastatic progression and predict poor survival in breast cancer based on a real-world cohort study.

Yanfang Yang, Yaoyang Guo, Mingyu Zhu, Ziyi Dong, Siqi Jiang, Xinyi Wen, Zhansheng Jiang

Abstract read
In one paragraph

Article in Discover oncology, 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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yanfang Yang *Second Department of Breast Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Yaoyang Guo *Department of Integrative Oncology, Tianjin Medical University Cancer Institute and Hospital, NationalClinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin' s ClinicalResearch Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China.
Mingyu ZhuDepartment of Integrative Oncology, Tianjin Medical University Cancer Institute and Hospital, NationalClinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin' s ClinicalResearch Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China.
Ziyi DongDepartment of Integrative Oncology, Tianjin Medical University Cancer Institute and Hospital, NationalClinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin' s ClinicalResearch Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China.
Siqi JiangThe Second People's Hospital of Hunan Province, Brain Hospital of Hunan Province, Hunan, China.
Xinyi WenDepartment of Integrative Oncology, Tianjin Medical University Cancer Institute and Hospital, NationalClinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin' s ClinicalResearch Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China.
Zhansheng JiangDepartment of Integrative Oncology, Tianjin Medical University Cancer Institute and Hospital, NationalClinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin' s ClinicalResearch Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China. zhjiang@tmu.edu.cn.

Funding

Joint Funds of the Natural Science Foundation of Tianjin No. 25JCLZJC00700National Health Commission of the People's Republic of China, Medical and Health Science and Technology Development Research Center WKZX2024CX103106National Natural Science Foundation of China 82274607Tianjin Key Medical Discipline Construction Project TJYXZDXK-3-003A
6 · The paper itself

Abstract

To investigate the incidence, clinicopathological characteristics, and prognostic impact of SMARCA4 mutations in breast cancer, we conducted a retrospective cohort study using the MSK-CHORD database, enrolling 4,032 patients categorized into SMARCA4 mutant (1.22%, 49/4032) and wild-type groups. We analyzed overall survival (OS) via the Kaplan-Meier method and log-rank test, performed subgroup analyses by HER2/hormone receptor (HR) status, and explored associations with tumor mutational burden (TMB), microsatellite instability (MSI), and co-mutations. Results showed the mutant group had significantly higher rates of bone (75.5% vs. 55.3%, p = 0.005) and lymph node metastasis (81.6% vs. 60.9%, p = 0.003), shorter OS (p = 0.0087), and attenuated prognostic advantages of HER2-positive (p = 0.25) and HR-positive (p = 0.72) status. Additionally, the mutant group exhibited higher TMB (p < 0.05), poorer prognosis in high-MSI patients (p = 0.04), and frequent co-mutations in TP53 and PIK3CA. SMARCA4 mutation is an independent adverse prognostic factor in breast cancer (HR = 1.6, p = 0.02), linked to enhanced metastasis, altered HER2/HR prognostic value, and genomic instability, with potential as a prognostic biomarker.

Indexed as

Breast cancerGene mutationPrognosisReal-world studySMARCA4

Identifiers

PMID42084806
PMCPMC13212835

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