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

Abstract Background: Accumulating evidence has revealed that epithelial-mesenchymal transition (EMT) plays a crucial role in tumor progression and the immune microenvironment, which further results in a high rate of recurrence and metastasis. The EMT immune signaling pathway provides a great perspective for designing personalized therapies. Methods: In this study, 1223 RNA-seq samples were obtained from the TCGA-BRCA dataset. A total of 381 EMT-related differentially expressed genes were analyzed and combined with clinical parameters, and the matrix was divided into training and testing cohorts at a ratio of 7:3. The training cohort was used to develop an EMT signature, including GKN2, FZD2, NDRG2, SCUBE2, ALX4, CCL19, SDC1, EZR, CPEB1, and HRG genes, and the accuracy of this signature was validated by testing and GSE158309 cohorts. Results: A risk score model and clinical parameters were used to establish a nomogram for predicting prognosis. The C-index (0.719), calibration curves, and model comparison with four previous studies demonstrated the reliability of the EMT signature, the biological phenotypes of which were tested for functional enrichment, immune infiltration, and tumor mutation. Additionally, patients' responses to immunotherapy and chemotherapy were assessed. Our results showed that the low-risk group had higher immune infiltration, tumor mutational burden, microsatellite instability levels, immune checkpoint inhibitor expression, tumor immune dysfunction and exclusion scores, and immunophenoscores, which could predict patient sensitivity to immunotherapy. Moreover, low-risk patients exhibit better sensitivity to chemotherapy. Conclusion: This novel EMT signature offers excellent potential for predicting the prognosis, tumor immune heterogeneity, and therapeutic responses in breast cancer. Citation Format: W. Chen, X. Qin, X. Xu, X. Lang, G. Xie, W. Liang. Recognition of immunogenomic signature and prognostic value of the subtype of epithelial-mesenchymal transition in breast cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS4-02-14.

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Journal
Clinical Cancer Research
Published
2026-02-17
DOI
https://doi.org/10.1158/1557-3265.sabcs25-ps4-02-14
Primary Topic
Mechanisms of cancer metastasis
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article
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article

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

Gang Xie, W. Chen, X. Lang, X. Qin et al.
Clinical Cancer Research
Mechanisms of cancer metastasis
article

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

Gang Xie, W. Chen, X. Lang, X. Qin, W. Liang, X. Xu
article en

Abstract

Abstract Background: Accumulating evidence has revealed that epithelial-mesenchymal transition (EMT) plays a crucial role in tumor progression and the immune microenvironment, which further results in a high rate of recurrence and metastasis. The EMT immune signaling pathway provides a great perspective for designing personalized therapies. Methods: In this study, 1223 RNA-seq samples were obtained from the TCGA-BRCA dataset. A total of 381 EMT-related differentially expressed genes were analyzed and combined with clinical parameters, and the matrix was divided into training and testing cohorts at a ratio of 7:3. The training cohort was used to develop an EMT signature, including GKN2, FZD2, NDRG2, SCUBE2, ALX4, CCL19, SDC1, EZR, CPEB1, and HRG genes, and the accuracy of this signature was validated by testing and GSE158309 cohorts. Results: A risk score model and clinical parameters were used to establish a nomogram for predicting prognosis. The C-index (0.719), calibration curves, and model comparison with four previous studies demonstrated the reliability of the EMT signature, the biological phenotypes of which were tested for functional enrichment, immune infiltration, and tumor mutation. Additionally, patients' responses to immunotherapy and chemotherapy were assessed. Our results showed that the low-risk group had higher immune infiltration, tumor mutational burden, microsatellite instability levels, immune checkpoint inhibitor expression, tumor immune dysfunction and exclusion scores, and immunophenoscores, which could predict patient sensitivity to immunotherapy. Moreover, low-risk patients exhibit better sensitivity to chemotherapy. Conclusion: This novel EMT signature offers excellent potential for predicting the prognosis, tumor immune heterogeneity, and therapeutic responses in breast cancer. Citation Format: W. Chen, X. Qin, X. Xu, X. Lang, G. Xie, W. Liang. Recognition of immunogenomic signature and prognostic value of the subtype of epithelial-mesenchymal transition in breast cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS4-02-14.

Clinical Cancer ResearchVol. 32(4_Supplement)
Union Hospital (HK), Northern Jiangsu People's Hospital (CN), Chuxiong Normal University (CN), Changzhou No.2 People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 53%
Mechanisms of cancer metastasis
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