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...
| Publicado en: | Breast Cancer: Basic & Clinical Research Vol. 20; pp. 1 - 17 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
4/4/2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192767443&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192767443 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11782234 B078 jtl: Breast Cancer: Basic & Clinical Research issn: 11782234 maglogo: Y pubinfo: dt: 4/4/2026 vid: 20 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 192767443 192767443 192767443 10.1177/11782234261433697 192767443 ppf: 1 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: 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 refInfo: holdings: @attributes: islocal: N |
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