Evidence map›Paper›PMID 41947199›Full record

ArticleBreast cancer research : BCR2026

Transcriptomic deconvolution reveals prognostic immune signatures and immunotherapy-responsive subtypes in male breast cancer.

Valentina Silvestri, Virginia Valentini, Agostino Bucalo, Virginia Porzio, Giorgia Scafetta, Bruna Cerbelli, Ines Zanna, Simonetta Bianchi, Maria Grazia Tibiletti, Ileana Carnevali and 12 more

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

22 authors.

Valentina SilvestriDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Virginia ValentiniDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Agostino BucaloDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Virginia PorzioDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Giorgia ScafettaTranslational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Bruna CerbelliDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Ines ZannaCancer Risk Factors and Lifestyle Epidemiology Unit, Institute for cancer research, prevention and clinical network (ISPRO), Florence, Italy.
Simonetta BianchiDepartment of Health Sciences, Division of Pathological Anatomy, University of Florence, Florence, Italy.
Maria Grazia TibilettiHereditary Cancer Research Center, University of Insubria, Varese, Italy.
Ileana CarnevaliSSD Laboratorio Specialistico Genetica Medica Citogenetica e Genetica Molecolare, ASST Settelaghi Varese, Varese, Italy.
Daniele CalistriIstituto Romagnolo per lo Studio dei Tumori "Dino Amadori" IRCCS, Meldola, Italy.
Valentina ArcangeliIstituto Romagnolo per lo Studio dei Tumori "Dino Amadori" IRCCS, Meldola, Italy.
Valentina ZampigaIstituto Romagnolo per lo Studio dei Tumori "Dino Amadori" IRCCS, Meldola, Italy.
Elisa GaspariniMedical Oncology, AUSL- IRCCS Reggio Emilia, Reggio Emilia, Italy.
Laura CortesiMedical Oncology, AUSL- IRCCS Reggio Emilia, Reggio Emilia, Italy.
Giuseppe GianniniDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Carlo CapalboDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy.
Stephen B FoxDepartment of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Giovanna MasalaClinical Epidemiology Unit, Institute for cancer research, prevention and clinical network (ISPRO), Florence, Italy.
Silvia MeziDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Giulia d'AmatiDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Laura OttiniDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy. laura.ottini@uniroma1.it.

Funding

Fondazione AIRC per la ricerca sul cancro ETS IG-28775Ministero dell'Università e della Ricerca Dipartimenti di Eccellenza - L. 232/2016
6 · The paper itself

Abstract

backgroundMale 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.

methodsWe 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.

resultsA 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.

conclusionsThis 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.

Indexed as

Biomarkers, TumorBreast Neoplasms, MaleTranscriptomeAgedB7-H1 AntigenBRCA1 ProteinBRCA2 ProteinGene Expression ProfilingGerm-Line MutationHumansImmune Checkpoint InhibitorsImmunotherapyLymphocytes, Tumor-InfiltratingMaleMiddle AgedPrognosisB7-H1 AntigenBiomarkers, TumorBRCA1 ProteinBRCA2 ProteinBRCA2 protein, humanCD274 protein, humanImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorBRCA1/BRCA2Germline mutationsImmune cell infiltrationImmunotherapyMale breast cancerMolecular biomarkersMolecular subtypesPD-1/PD-L1Precision oncologyTranscriptomics

Identifiers

PMID41947199
PMCPMC13173792

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