Background: Male breast cancer (MBC) is a rare malignancy with distinct biological and clinical features compared to its female counterpart. Emerging evidence suggests that a subset of MBCs may exhibit an immunogenic tumor microenvironment; however, the lack of sex-specific data on immune biomarkers has limited the inclusion of male patients in immunotherapy trials. Methods: We performed transcriptomic profiling of 123 MBCs, including 41 with germline pathogenic variants (PVs) in BRCA2 (n = 26), BRCA1 (n = 12), and PALB2 (n = 3). Immune characterization included PD-1 and PD-L1 expression, immune scores, and immune cell infiltration using deconvolution tools. The Tumor Immune Dysfunction and Exclusion (TIDE) algorithm was applied to predict potential response to immune checkpoint inhibitors. Results: A distinct subset of MBCs showed high PD-L1 expression and high immune scores. Immune deconvolution revealed that CD4 + memory resting T cells (24.5%), M2 macrophages (14.4%), and M0 macrophages (13.8%) were the most abundant infiltrating immune populations within the tumor microenvironment. Notably, 37.4% of tumors were predicted to respond to immunotherapy, primarily within the Luminal B subtype. These tumors demonstrated significantly higher PD-1/PD-L1 expression, higher immune scores, and enriched immune cell infiltration, compared to non-responders. Unsupervised clustering identified two transcriptionally distinct molecular subgroups. Cluster 1 was enriched for immune-related pathways and comprised the majority of predicted responders. Immune infiltration patterns varied significantly according to germline mutation status, intrinsic subtype, histological grade, androgen receptor expression, and Ki-67 proliferation index. Conclusions: This study identifies a transcriptionally defined, immunogenic subset of MBCs with potential sensitivity to immune checkpoint inhibitors. These findings highlight the need for sex-specific immune profiling and provide a rationale for incorporating immunotherapy into precision treatment strategies for men with breast cancer.
Transcriptomic deconvolution reveals prognostic immune signatures and immunotherapy-responsive subtypes in male breast cancer / Silvestri, V., Valentini, V., Bucalo, A., Porzio, V., Scafetta, G., Cerbelli, B., Zanna, I., Bianchi, S., Tibiletti, M.G., Carnevali, I., Calistri, D., Arcangeli, V., Zampiga, V., Gasparini, E., Cortesi, L., Giannini, G., Capalbo, C., Fox, S.B., Masala, G., Mezi, S., et al.. - In: BREAST CANCER RESEARCH. - ISSN 1465-542X. - ELETTRONICO. - 28:(2026), pp. 90.111258-90.111265. [10.1186/s13058-026-02236-5]
Transcriptomic deconvolution reveals prognostic immune signatures and immunotherapy-responsive subtypes in male breast cancer
Bianchi, Simonetta;Giannini, Giuseppe;Masala, Giovanna;
2026
Abstract
Background: Male breast cancer (MBC) is a rare malignancy with distinct biological and clinical features compared to its female counterpart. Emerging evidence suggests that a subset of MBCs may exhibit an immunogenic tumor microenvironment; however, the lack of sex-specific data on immune biomarkers has limited the inclusion of male patients in immunotherapy trials. Methods: We performed transcriptomic profiling of 123 MBCs, including 41 with germline pathogenic variants (PVs) in BRCA2 (n = 26), BRCA1 (n = 12), and PALB2 (n = 3). Immune characterization included PD-1 and PD-L1 expression, immune scores, and immune cell infiltration using deconvolution tools. The Tumor Immune Dysfunction and Exclusion (TIDE) algorithm was applied to predict potential response to immune checkpoint inhibitors. Results: A distinct subset of MBCs showed high PD-L1 expression and high immune scores. Immune deconvolution revealed that CD4 + memory resting T cells (24.5%), M2 macrophages (14.4%), and M0 macrophages (13.8%) were the most abundant infiltrating immune populations within the tumor microenvironment. Notably, 37.4% of tumors were predicted to respond to immunotherapy, primarily within the Luminal B subtype. These tumors demonstrated significantly higher PD-1/PD-L1 expression, higher immune scores, and enriched immune cell infiltration, compared to non-responders. Unsupervised clustering identified two transcriptionally distinct molecular subgroups. Cluster 1 was enriched for immune-related pathways and comprised the majority of predicted responders. Immune infiltration patterns varied significantly according to germline mutation status, intrinsic subtype, histological grade, androgen receptor expression, and Ki-67 proliferation index. Conclusions: This study identifies a transcriptionally defined, immunogenic subset of MBCs with potential sensitivity to immune checkpoint inhibitors. These findings highlight the need for sex-specific immune profiling and provide a rationale for incorporating immunotherapy into precision treatment strategies for men with breast cancer.| File | Dimensione | Formato | |
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2026 Silvestri V et al Breast Cancer Research.pdf
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