ArticleAdvances in therapy2023
An EMT-Related Gene Signature to Predict the Prognosis of Triple-Negative Breast Cancer.
Article in Advances in therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 12 citations in OpenAlex.
- Multi-omic Profiling of Recurrence Risk Across Breast Cancer Subtypes.medRxiv : the preprint server for health sciences · 2026Article
- Rewiring miR-22/SNAI1 via CRISPR-based edge editing destabilizes the epithelial phenotype.NPJ systems biology and applications · 2026Article
- EMT and cell cycle control invadopodia and metastasis in breast cancer via Filip1L.Research square · 2026Article
- Mechanism by which Icariin suppresses pulmonary metastasis in triple-negative breast cancer through downregulation of the SPDL1/JAK2/STAT3 signaling pathway.Cancer cell international · 2026Article
- TMEPAI Confers Paclitaxel Resistance in Triple-Negative Breast Cancer Cells by Promoting AKT Phosphorylation and Its Downstream Cascade.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Development of predictive models for the prognosis of triple-negative breast cancer using multiple transcriptomic analyses.PloS one · 2026Article
- Transcriptomic-Driven Drug Repurposing Reveals SP600125 as a Promising Drug Candidate for the Treatment of Glial-Mesenchymal Transition in Glioblastoma.International journal of molecular sciences · 2025Article
- The association between periostin and tumor microenvironment: a promising cancer prognostic biomarker and therapeutic target to combat tumor progression and chemoresistance.Cancer cell international · 2025Review
- Article
- Synergistic Effects of Mistletoe Lectin and Cisplatin on Triple-Negative Breast Cancer Cells: Insights from 2D and 3D In Vitro Models.International journal of molecular sciences · 2025Article
- Current Status of Breast Cancer Immunotherapy and Prognosis-Related Markers.Breast cancer (Dove Medical Press) · 2025Review
- A Review on Integrating Breast Cancer Clinical Data: A Unified Platform Perspective.Current treatment options in oncology · 2025Review
- Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEpithelial-mesenchymal transition (EMT) is an important biological process in tumor invasion and metastasis, and thus a potential indicator of the progression and drug resistance of breast cancer. This study comprehensively analyzed EMT-related genes in triple-negative breast cancer (TNBC) to develop an EMT-related prognostic gene signature.
methodsWith the application of The Cancer Genome Atlas (TCGA) database, Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), and the Genotype-Tissue Expression (GTEx) database, we identified EMT-related signature genes (EMGs) by Cox univariate regression and LASSO regression analysis. Risk scores were calculated and used to divide patients with TNBC into high-risk group and low-risk groups by the median value. Kaplan-Meier (K-M) and receiver operating characteristic (ROC) curve analyses were applied for model validation. Independent prognostic predictors were used to develop nomograms. Then, we assessed the risk model in terms of the immune microenvironment, genetic alteration and DNA methylation effects on prognosis, the probability of response to immunotherapy and chemotherapy, and small molecule drugs predicted by The Connectivity Map (Cmap) database.
resultsThirteen EMT-related genes with independent prognostic value were identified and used to stratify the patients with TNBC into high- and low-risk groups. The survival analysis revealed that patients in the high-risk group had significantly poorer overall survival than patients in the low-risk group. Populations of immune cells, including CD4 memory resting T cells, CD4 memory activated T cells, and activated dendritic cells, significantly differed between the high- and low-risk groups. Moreover, some therapeutic drugs to which the high-risk group might show sensitivity were identified.
conclusionsOur research identified the significant impact of EMGs on prognosis in TNBC, providing new strategies for personalizing TNBC treatment and improving clinical outcomes.
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