Genes From Epithelial-Mesenchymal Transition Predict Overall Survival Effectively in Breast Cancer: A Novel Risk Model Based on Initial Step of Tumor Metastasis.

Background: Accumulating evidence has demonstrated that epithelial-mesenchymal transition (EMT) plays a critical role in breast cancer (BRCA) initiation, invasion, metastasis, and prognosis. Objectives: To develop and validate a comprehensive EMT-related gene signature for robust prognosis predictio...

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Publicado en:Breast Cancer: Basic & Clinical Research Vol. 20; pp. 1 - 17
Autores principales: Liang, Wei, Wang, Zi-Ying, Shao, Quan-Feng, Li, Yuan-Yuan, Zhu, Bei, Qin, Xi-Hu, Chen, Wei-Xian
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. 4/4/2026
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: Breast Cancer: Basic & Clinical Research
      issn: 11782234
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      dt: 4/4/2026
      vid: 20
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        10.1177/11782234261433697
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        atl: Genes From Epithelial-Mesenchymal Transition Predict Overall Survival Effectively in Breast Cancer: A Novel Risk Model Based on Initial Step of Tumor Metastasis.
      aug:
        au:
          Liang, Wei
          Wang, Zi-Ying
          Shao, Quan-Feng
          Li, Yuan-Yuan
          Zhu, Bei
          Qin, Xi-Hu
          Chen, Wei-Xian
        affil: Graduate School, Dalian Medical University, Dalian, China
      sug:
        subj:
          Genes, BRCA
          Epithelial-Mesenchymal Transition
          Overall Survival
          Breast Neoplasms Prognosis
          Risk Assessment
          Neoplasm Metastasis
          Human
          Retrospective Design
          Prospective Studies
          Cox Proportional Hazards Model
          Bioinformatics
          RNA
          Wilcoxon Rank Sum Test
          Immunohistochemistry
          Funding Source
      ab: Background: Accumulating evidence has demonstrated that epithelial-mesenchymal transition (EMT) plays a critical role in breast cancer (BRCA) initiation, invasion, metastasis, and prognosis. Objectives: To develop and validate a comprehensive EMT-related gene signature for robust prognosis prediction in BRCA. Design: Retrospective multi-cohort study. Methods: We obtained 1223 BRCA samples from The Cancer Genome Atlas (TCGA) and 1184 EMT-related genes from the dbEMT2.0 public database. Prognostic genes were selected via univariate Cox and LASSO regression analyses to construct a risk score model, which was subsequently validated in independent internal cohort (TCGA) and external cohorts (UCSC and GEO). Finally, a nomogram integrating the risk score with clinical parameters was established. Results: A 15-gene EMT signature was identified and used to stratify patients into high- and low-risk groups. The high-risk group exhibited significantly poorer overall survival in the TCGA cohort (P <.05), a finding consistently validated across 4 independent datasets (all P <.05). The risk score served as an independent prognostic factor (hazard ratio = 2.386, P <.001). The integrative nomogram, incorporating the risk score, age, and N and M stages, demonstrated moderate accuracy for survival prediction (C-index = 0.711). Conclusions: We developed and validated a novel 15-gene EMT signature and a corresponding nomogram, which provide a potential tool for prognostic stratification in BRCA patients.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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