ArticleBreast cancer : basic and clinical research2026
Genes From Epithelial-Mesenchymal Transition Predict Overall Survival Effectively in Breast Cancer: A Novel Risk Model Based on Initial Step of Tumor Metastasis.
Article in Breast cancer : basic and clinical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- MMBCFNet: multi modal hybrid deep learning framework for breast cancer detection using MRI, mammography, and ultrasound images.Journal of ultrasound · 2026Article
- A multi-omics integration of bulk and single-cell transcriptomics identifies and validates a 16-gene epithelial-mesenchymal transition prognostic signature in tongue squamous cell carcinoma.Translational cancer research · 2026Article
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Authors and funding
7 authors.
Funding
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Abstract
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 ( 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.
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Registered trials
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 Socratic graph.