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February 19, 2026Clinical Cancer Research

Abstract PS4-02-14: Recognition of immunogenomic signature and prognostic value of the subtype of epithelial-mesenchymal transition in breast cancer

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Authors

WCW. ChenChangzhou No.2 People's HospitalXQX. QinChangzhou No.2 People's HospitalXXX. XuNorthern Jiangsu People's Hospital

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Implication

Identifies an EMT signature predicting prognosis in breast cancer, suggesting new treatment approaches.

Key Points

  • This research aims to establish an immunogenomic signature related to epithelial-mesenchymal transition in breast cancer for predicting patient outcomes.
  • Analyzed 1223 RNA-seq samples from the TCGA-BRCA dataset.
  • Identified 381 differentially expressed EMT-related genes.
  • Developed an EMT signature using a training cohort and validated it with testing cohorts.
  • Created a nomogram incorporating risk scores and clinical parameters for prognosis prediction.
  • Achieved a C-index of 0.719 indicating good predictive accuracy.
  • Low-risk patients showed higher immune infiltration and tumor mutational burden.
  • Identified that low-risk patients were more sensitive to immunotherapy and chemotherapy.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/6996a8b5ecb39a600b3efb86https://doi.org/10.1158/1557-3265.sabcs25-ps4-02-14
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Abstract PS4-02-13: Genes from epithelial-mesenchymal transition predict overall survival effectively in breast cancer: anovel risk model based on initial step of tumor metastasis2026
  2. 2Abstract PS2-10-18: Epithelial-mesenchymal transition (EMT) Signature Score of a Bulk Tumor May Not Reflect the EMT of Malignant Epithelial Cells2026
  3. 3Abstract PS4-02-24: Identifying Prognostic Epithelial-Mesenchymal Transition and Tumor Stem Cell Markers in Breast Cancer Subtypes2026
  4. 4Genes From Epithelial-Mesenchymal Transition Predict Overall Survival Effectively in Breast Cancer: A Novel Risk Model Based on Initial Step of Tumor Metastasis2026
  5. 5Identification of epithelial-mesenchymal transition prognostic signature associated with prognosis, tumor microenvironment, and therapeutic effect in prostate cancer2025 · 1 citations