Degnim, Amy C.

Breast cancer incidence rises with age and peaks across the menopausal transition, yet why some postmenopausal lobules persist, and why that persistence predicts cancer risk, remains unresolved. Incomplete age-related lobular involution is one of the strongest tissue-level predictors of subsequent breast cancer, but it is still commonly viewed as passive failure of hormonally driven regression. This Review proposes a different framework: persistent lobules are maintained by an active reserve niche that outlasts its reproductive function. By integrating breast epidemiology, mammary stromal biology, cellular senescence, immune surveillance, and comparative reserve systems in skeletal muscle, hematopoiesis, and postmenopausal endometrium, we argue that menopause is a biological control point at which tissue fate diverges. Efficient clearance of senescent cells permits lobular regression to complete, whereas impaired immune surveillance may allow inflammatory paracrine signaling, macrophage reprogramming, and immune evasion to create a self-sustaining senescent-immune niche lock. This framework explains why persistent lobules are biologically active, shifts attention from epithelial quantity to microenvironmental state, and identifies the perimenopausal window as a promising interval for biomarker-guided risk stratification and prevention.

Breast cancer incidence rises with age and peaks across the menopausal transition, yet why some postmenopausal lobules persist, and why that persistence predicts cancer risk, remains unresolved. Incomplete age-related lobular involution is one of the strongest tissue-level predictors of subsequent breast cancer, but it is still commonly viewed as passive failure of hormonally driven regression. This Review proposes a different framework: persistent lobules are maintained by an active reserve niche that outlasts its reproductive function. By integrating breast epidemiology, mammary stromal biology, cellular senescence, immune surveillance, and comparative reserve systems in skeletal muscle, hematopoiesis, and postmenopausal endometrium, we argue that menopause is a biological control point at which tissue fate diverges. Efficient clearance of senescent cells permits lobular regression to complete, whereas impaired immune surveillance may allow inflammatory paracrine signaling, macrophage reprogramming, and immune evasion to create a self-sustaining senescent-immune niche lock. This framework explains why persistent lobules are biologically active, shifts attention from epithelial quantity to microenvironmental state, and identifies the perimenopausal window as a promising interval for biomarker-guided risk stratification and prevention.

Abstract Objective To evaluate the clinical value of breast MRI in radiation-associated angiosarcoma of the breast (RAASB) for assessing disease extent at diagnosis and after neoadjuvant therapy compared with clinical examination and surgical pathology. Methods This IRB-approved retrospective study included 25 patients with breast MRIs between1995 and 2020. MRI estimated disease extent was compared to clinical exam and surgical pathology. MRI findings were evaluated for additional disease and impact on clinical management. Agreement between MRI and clinical assessment of disease was evaluated using Cohen’s kappa statistic. Results Baseline MRI demonstrated moderate agreement with clinical disease extent (Cohen’s κ = 0.44; 95% CI, 0.14-0.75). Thirteen of 24 (54%) of MRIs reflected clinical exam, 4/24 (17%) MRIs underestimated disease, and 5/24 (21%) MRIs overestimated disease. Baseline MRI changed surgical management in 4/24 (17%). In 8 patients who proceeded directly to surgery, MRI reflected pathology in 6/8 (75%). In 10 patients with post-neoadjuvant MRI, 4/10 (40%) pathology and MRI extent were similar, 5/10 (50%) MRI overestimated disease, and 1/10 (10%) MRI underestimated disease. Conclusion MRI has clinical value in assessing RAASB with the potential for significantly altering surgical management. In this small cohort, post-neoadjuvant MRI demonstrated limited additional clinical value. Larger studies are needed to define the optimal role and timing of post-neoadjuvant MRI. Advances in knowledge Baseline MRI detected additional disease not identified on initial clinical exam in 5/24 (21%) and changed surgical management in 4/24 (17%). Although baseline MRI demonstrated moderate agreement with clinical examination, post-neoadjuvant MRI frequently overestimated residual disease when compared with final pathology.

ABSTRACT The normal adult male breast has not been characterized at single-cell resolution, leaving the cellular basis of male breast cancer (MBC) biology undefined. Here we present an integrated single-cell RNA sequencing atlas of the adult human breast comprising 174,471 cells from 17 donors (3 male, 14 female), including 18,117 male-derived cells. This revealed that the male breast retains all three epithelial populations, basal (BC), luminal progenitor (LP), and luminal committed cells (LC), but with an increase in LC at the expense of BC and LP across all three male donors. Male LC were distinguished from female by elevated ESR1 and PGR mRNA, enrichment of RNA processing and ribosome biogenesis programs, reduced inflammatory cytokine and growth factor signaling, elevated estradiol gene set enrichment scores, and higher inferred activity of developmental patterning transcription factors. This pattern was observed across differential expression, gene ontology, ligand profiling, and regulon-based analyses, and was not restricted to sex chromosome-linked gene expression. This is consistent with the near-universal estrogen receptor (ER) positivity that characterizes MBC clinically. This atlas provides the first cellular and transcriptional reference for the normal male breast and a resource for investigating sex differences in mammary biology, germline susceptibility variant interpretation, and modeling breast malignancies.

Abstract Background: Endocrine therapy (ET) with aromatase inhibitors (AIs) plus ovarian function suppression (OFS) is a standard endocrine strategy for premenopausal women with ER+/HER2- breast cancer. However, poor tolerability to AI+OFS limits its use, leaving tamoxifen as the only alternative. Prospective studies demonstrated that premenopausal women treated with neoadjuvant ET whose tumors exhibit Ki-67 ≤ 10% following 4 weeks of therapy achieve 5-year distant disease-free survival > 96%. Problematically, only 41% of patients reach this threshold with tamoxifen compared to 78% with AI+OFS (Nitz JCO 2022). (Z)-endoxifen (ENDX) is a potent selective estrogen receptor modulator that dually targets ERα and PKCβ1. At plasma concentrations of 3-5 ng/mL, it inhibits ERα; at ≥ 500 ng/mL, it targets PKCβ1, leading to AKT suppression. The EVANGELINE trial aims to examine endocrine sensitivity in terms of Week 4 Ki-67 in premenopausal women whose baseline Ki-67 > 10%, and objective response rate after 24 weeks of ENDX + goserelin in premenopausal women with baseline Ki-67≤ 10%. Methods: EVANGELINE (NCT05607004) is a multicenter, open-label, Phase 2 study comprised of three parts. Eligible patients are premenopausal women with Stage IIA/IIB ER+/HER2- breast cancer. • Part 1 (PK Run-in): assessed 40mg vs 80mg ENDX (+/- OFS) in 22 patients. • Part 2: patients with baseline Ki-67 >10% were randomized to 40 mg ENDX + goserelin or exemestane + goserelin for 6 months with the primary objective being 4-week ESD rate. Patients with a baseline Ki-67 ≤10% were assigned to a single-arm cohort of 40 mg ENDX monotherapy (no OFS) to evaluate the 24-week endocrine sensitivity disease rate. • Part 3 (replaces Part 2): all patients are treated with ENDX 40mg daily + goserelin every 28 days. A two stage Phase II design was chosen to assess outcomes as follows: Part 3a: Up to 45 patients with baseline Ki-67> 10% to assess Week 4 Ki-67≤ 10% rate is at least 65%. If 9 or more of these patients have a Week 4 Ki-67>10%, enrollment will be stopped due to futility. Otherwise, enrollment will continue. Part 3b: Up to 20 patients enrolled with baseline Ki-67≤ 10% to assess Week 24 objective response rate. Ki-67 levels are determined by central laboratory and images are centrally reviewed. Secondary objectives include safety, tolerability, surgical outcomes, and biomarker analysis using paired biopsies (baseline, week 4) and surgical specimens. Results: The PK run-in (completed Fall 2024) enrolled 22 patients and assessed ENDX doses (40 mg daily vs 80 mg daily (+/-OFS)). The Week 4 Ki-67 ≤ 10% rate with ENDX was 86% and did not differ according to dose. Early safety, PK, efficacy and compliance data supported the selection of 40 mg ENDX daily as the optimal dose. Enrollment in Part 2 began in May 2025. Part 3 will replace Part 2 with simplification of the trial design. Conclusions: EVANGELINE is the first trial to evaluate (Z)-endoxifen + OFS as neoadjuvant therapy in premenopausal ER+/HER2- breast cancer. By targeting both ER and PKC pathways, ENDX may offer a well-tolerated alternative to AI-based regimens and expand endocrine therapy options for this population. Clinical Trial Registration: NCT05607004 Citation Format: M. P. Goetz, V. J. Suman, C. Lopez, H. Erickson, L. Beaulieu, S. S. Hammer, L. Mina, R. Leon-Ferre, K. N. Hunt, M. Piltin, A. Degnim, J. N. Ingle, J. C. Boughey, B. A. Sarah, J. M. Reid, M. Schellenberg, J. R. Hawse, P. Advani, K. Giridhar, F. Batalini, D. Flora, J. M. Jones, N. A. Bagegni, J. Jakub, V. Abramson, V. Dabak, W. J. Irvin, E. Sima, K. Seema, S. C. Quay. A Phase 2 Trial of (Z)-endoxifen + Goserelin as Neoadjuvant Treatment for Premenopausal Women with ER+, HER2-, Breast Cancer (EVANGELINE) [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 PS5-12-16.

Abstract Background: Artificial intelligence (AI) algorithms based on deep learning approaches show promise in improving breast cancer (BC) detection on mammography and may also improve prediction of future BC risk compared with clinical risk prediction models. Historical clinical risk prediction models underperform among women with BBD; however, AI models for BC detection on mammography have not been tested among women at elevated BC risk due to benign breast disease (BBD). We evaluated if an AI cancer detection algorithm can aid BC risk prediction among women with BBD. Methods: We examined women without a prior BC who had an initial BBD biopsy at Mayo Clinic, Rochester, between 2002 and 2013. Incident BC occurring after BBD was identified using the Mayo Tumor Registry and supplemented by follow-up questionnaires. Only women with a full field digital mammogram at least 2 years prior to BC diagnosis were eligible. A breast pathologist evaluated BBD according to increasing severity, as non-proliferative (NP), proliferative disease without atypia (PDWA) or atypical hyperplasia (AH). AI malignancy scores derived from the Transpara detection algorithm (1-10) and volumetric percent density (VPD) from Volpara (per one standard deviation, SD) were assessed from mammograms close to BBD diagnosis. Cox proportional hazards regression models were applied to estimate hazard ratios (HRs) with 95% Confidence Intervals (CIs), adjusted for age and BMI. C-statistics were estimated to assess the contribution of each factor to BC risk prediction. Likelihood ratio tests (LRTs) and bootstrapping methods were used to compare model performance with the addition of AI malignancy score. Results: The BBD cohort with mammography consisted of 3,125 women followed for a median 12.9 years, with 250 incident BC. Of these, 221 BC occurred at least two years after the mammogram and were used in analyses. As expected, increased BC risk was associated with BBD severity [for AH HR=3.18 (95%CI: 2.04, 4.95) and for PDWA HR=1.59 (95%CI: 1.17, 2.14) compared to NP] and with higher VPD [HR=1.24 per SD (95% CI: 1.05, 1.45)] (Table ). The AI-malignancy score alone was also associated with BC risk [HR=1.16 per 1 unit score (95%CI: 1.09,1.23)] and showed similar discriminatory accuracy [C-statistic=0.626 (95%CI: 0.586, 0.665)] as the model with BBD severity and VPD combined [C-statistic=0.627, (95%CI: 0.585, 0.669)] (Table ). In models with BBD severity and VPD, the AI-malignancy score was an independent risk factor for BC [HR=1.14 (95%CI: 1.07, 1.21); PLRT<0.001] but only achieved a marginally significant improvement in discriminatory accuracy [C-statistic=0.651 (0.609, 0.693), ΔC-statistic=0.024 (95% CI: 0.000, 0.047)]. Conclusion: In this preliminary study, an AI BC detection algorithm achieved similar performance in predicting future BC risk compared to established risk factors. Citation Format: C. M. Vachon, S. Winham, M. Jensen, D. Hursh, L. Pacheco-Spann, A. Norman, J. Fischer, S. Schrup, L. Seymour, D. Gehling, S. Nyante, M. Troester, N. Karssemeijer, R. Vierkant, D. Radisky, C. Scott, S. I. Maimone, A. Degnim, M. Sherman. An AI algorithm for breast cancer detection improves future BC risk prediction among women with benign breast disease [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 PD4-02.

Background: Discovering risk biomarkers in small benign breast disease (BBD) biopsies is constrained by scarce tissue and microanatomic heterogeneity of terminal duct lobular units (TDLUs). We tested whether tissue-sparing tissue microarray (TMA)–based Digital Spatial Profiling (DSP) can deliver reproducible, biologically coherent protein measurements across benign lobules and breast cancers (BCs), and how well DSP aligns with standard immunoassays. Methods: We performed a pilot using tissues from the Mayo Clinic BBD cohort using TMAs representing four contexts: terminal duct lobular units (TDLUs) from BBD biopsies preceding BC and matched BBD-controls, subsequent BCs, and BC-associated TDLUs. We profiled 79 proteins by DSP (37 retained after QC) and benchmarked against chromogenic IHC and OPAL immunofluorescence. Reproducibility was evaluated using intraclass correlation coefficients (ICCs), cross-platform agreement (weighted kappa), marker correlations, and mixed-effects models with false-discovery-rate (FDR) control. Results: We analyzed 368 BBD-TDLU cores (88 cases; 88 controls), 204 BC cores and 110 BC-associated TDLU cores. ICCs were highest in BC tissues, and lower in BC-associated TDLUs and BBD-TDLUs. Agreement was slight–to-fair in TDLUs but moderate (ER/PR) to substantial (BCL2) in BC. DSP recapitulated expected immunologic correlations (CD45 with T-cell, B-cell, and macrophage markers) and tissue-type gradients (BC > BC-associated TDLUs > BBD-TDLUs). Exploratory case–control differences in BBD-TDLUs did not persist after FDR control. Conclusions: TMA-based DSP is feasible in archival breast tissues and yields biologically coherent, cross-platform-benchmarked profiles that are particularly robust in BC, while conserving scarce TDLUS and clarifying current limits of single-marker risk stratification from benign lobules. These data provide a foundation for refined sampling and expanded panels in future TDLU-focused studies.

Abstract Background: Endocrine therapy (ET) with aromatase inhibitors (AI) plus ovarian function suppression (OFS) is standard for premenopausal women with ER+/HER2- breast cancer. However, many premenopausal women are intolerant of AI + OFS, leaving tamoxifen (with or without OFS) as their only option. Extensive studies have demonstrated that premenopausal women treated with neoadjuvant ET whose tumors exhibit Ki-67 ≤ 10% following 4 weeks of therapy (defined as endocrine sensitive disease (ESD)) achieve 5-year distant disease-free survival > 96%. Problematically, only 41% of patients reach this ESD threshold with tamoxifen compared to 78% with AI+OFS (Nitz JCO 2022). (Z)-endoxifen (ENDX) is a potent selective estrogen receptor modulator (SERM) that inhibits ERα at plasma concentrations of 3-5 ng/ml and dually targets PKCβ1, a suspected oncogene in breast tumors, at concentrations ≥ 500 ng/ml. We therefore developed the EVANGELINE study (NCT05607004) is an open label, randomized neoadjuvant phase II study that includes a pharmacokinetic (PK) Run-in, aiming to evaluate whether ENDX +/- goserelin is non-inferior to exemestane plus goserelin with respect to ESD rate. Following the completed PK run-in portion of the study, where 40mg/day or 80mg/day ENDX were assessed, the 40 mg/day dose was selected for further evaluation in the second part of the trial. The second part is comprised of a randomized treatment cohort, for patients with a Ki-67% >10% at preregistration randomized to either 40mg (Z)-endoxifen + goserelin or exemestane + goserelin neoadjuvant treatment and a Single Arm Treatment Cohort for patients who have a Ki-67 ≤ 10% at pre-registration assigned to 40mg/day (Z)-endoxifen monotherapy neoadjuvant treatment. Methods: To investigate ENDX further in premenopausal women, a multicenter study in the United States, was designed(EVANGELINE; NCT05607004). This phase 2, open-label, randomized, neoadjuvant trial includes a PK run-in phase designed to assess whether the 4-week ESD rate with (Z)-endoxifen + goserelin is non-inferior to that of exemestane + goserelin in premenopausal women with Stage IIA or IIB ER+/HER2- breast cancer with diagnostic Ki67 > 10%. Additionally, a single arm Phase 2, open-label neoadjuvant Cohort was designed to assess the 4-week ESD rate with ENDX monotherapy in premenopausal women with Stage IIA or IIB ER+/HER2- BC with diagnostic Ki67 ≤10%. Subjects will undergo neoadjuvant treatment for six months before receiving surgical treatment in the involved breast. This study will additionally assess safety, tolerability, response rates, surgical outcomes, and monitor disease progression. Comprehensive biomarker evaluations will be conducted using paired tumor biopsies and blood samples collected at baseline and week four, as well as 6 month surgical specimens. Enrollment in the PK run-in phase (n-22) was completed in Fall 2024 with the second portion of the trial slated to begin early in 2025. Citation Format: Matthew P. Goetz, Vera J. Suman, Claudia Lopez, Hayley Erickson, Lonnissa Nguyen, Sandra S. Hammer, Lida Mina, Pooja Advani, Roberto Leon-Ferre, Karthik Giridhar, Felipe Batalini, Daniel Flora, Jason M. Jones, Nusayba A. Bagegni, Katie N. Hunt, Mara Piltin, Amy Degnim, James N. Ingle, Judy C. Boughey, Sarah A. Buhrow, Joel M. Reid, Matthew Schellenberg, John R. Hawse, Steven C. Quay. A randomized phase 2 non-inferiority trial of (Z)-endoxifen + goserelin and exemestane + goserelin as neoadjuvant treatment for premenopausal women with ER+/HER2- breast cancer (EVANGELINE) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr CT237.

Abstract Introduction: Pseudoangiomatous stromal hyperplasia (PASH) is a benign breast lesion characterized by stromal myofibroblast accumulation. While most women with PASH do not develop breast cancer, a subset eventually does, often in the same breast where PASH was originally diagnosed, even after surgical removal of the lesion. This pattern suggests the presence of a field effect, where alterations in the PASH microenvironment extend beyond the lesion itself, potentially influencing neighboring breast tissue. This study aims to identify specific fibroblasts within PASH-containing tissues that may create a microenvironment conducive to cancer initiation. Methods: We conducted a retrospective analysis of formalin-fixed, paraffin-embedded breast tissue samples from women diagnosed with PASH, comparing those who later developed breast cancer (cases) to those who remained cancer-free (controls). Using transcriptional profiling with NanoString IO360/BC360 panels, multiplex immunofluorescence (MxIF), and spatial transcriptomics via NanoString CosMX SMI, we investigated molecular and histopathological differences. We focused on the expression of fibroblast activation markers (ITGB1, PDGFRβ) and their spatial relationships with proliferating epithelial cells, as well as changes in extracellular matrix (ECM) composition and stiffness. Results: Transcriptional profiling revealed significant upregulation of proliferation-associated genes in epithelial cells from cases. MxIF showed higher Ki-67 levels in epithelial cells from cases, with proliferating cells forming clustered regions. Activated fibroblasts expressing ITGB1 and PDGFRβ were markedly increased in cases and were located closer to proliferating epithelial cells. Spatial transcriptomics uncovered gene expression changes in fibroblasts indicative of an activated phenotype, and in epithelial cells, consistent with responses to increased tissue stiffness and mechanotransduction signaling. Polarized light imaging with picrosirius red staining revealed enhanced collagen cross-linking and thick fibril formation in cases, indicating greater ECM stiffness. Conclusions: Our findings suggest that a subset of activated fibroblasts in benign breast tissue creates a pro-tumorigenic microenvironment through ECM remodeling and increased tissue stiffness, promoting epithelial proliferation and potentially driving cancer development. The spatial proximity of these fibroblasts to proliferating epithelial cells underscores their possible role in early carcinogenesis. This study introduces the novel concept of cancer-predisposing fibroblasts in benign breast tissue, providing new insights into microenvironmental changes that precede cancer and offering potential targets for early detection and intervention. Citation Format: Nicole Cruz-Reyes, Pria Westerman, Matilde Rossi, Camila Pacheco Erak, Melody Stallings Mann, Bryan McCauley, Robert Vierkant, Stacey Winham, Mark Sherman, Amy Degnim, Derek Radisky. Activated fibroblasts in benign breast tissue are associated with subsequent breast cancer development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2083.

Abstract Introduction: Fibroadenoma is the most common type of benign breast lesion and is not traditionally considered an indicator of increased breast cancer risk. This study aimed to identify biomarkers within fibroadenoma associated with subsequent breast cancer development using patient samples from the Mayo Clinic Benign Breast Disease (BBD) cohort. Methods: We analyzed formalin-fixed paraffin-embedded (FFPE) breast biopsy samples from patients diagnosed with non-proliferative fibroadenoma who either developed breast cancer later (n=10) or remained cancer-free (n=5). NanoString RNA profiling identified differentially expressed genes in fibroblasts associated with subsequent cancer development. Immunohistochemistry was first done to compare overall expression of PI16 in this cohort. Opal multiplex immunofluorescence staining (mIF) was then performed to evaluate the expression of PI16 in fibroblasts (Vim+PanCK-) and assess immune cell infiltration (CD45+) in different tissue compartments. Fibroblasts were identified by vimentin positivity (Vim+), and epithelial cells were marked by pan-cytokeratin positivity (PanCK+). Results: Compared to patients who remained cancer-free, those who developed breast cancer showed significantly increased expression of PI16 in fibroblasts (PI16+Vim+PanCK-, 3.25-fold increase, p=0.0011). Additionally, the number of immune cells (CD45+) was significantly decreased (0.52-fold, p=0.03) in the fibroadenoma lesions of patients who later developed cancer. Conclusions: Our findings suggest that elevated expression of PI16 in fibroblasts within fibroadenoma may serve as potential biomarkers for predicting breast cancer risk for women with fibroadenoma. PI16 encodes Peptidase Inhibitor 16, which is implicated in modulating fibroblast activity and extracellular matrix remodeling—processes that can contribute to a tumor-supportive microenvironment. Elevated levels of this protein in fibroblasts suggest an altered microenvironment that may foster tumor initiation and progression. The decreased immune cell infiltration further implies an immunosuppressive microenvironment that may facilitate cancer progression. As these markers can be detected in FFPE samples, our results could lead to the development of a readily applicable clinical test to identify fibroadenoma patients at increased risk for breast cancer, enabling earlier intervention and surveillance. Citation Format: Pria Westerman, Nicole Cruz-Reyes, Camila Pacheco Erak, Robert Vierkant, Bryan McCauley, Stacey Winham, Mark Sherman, Amy Degnim, Derek Radisky. Elevated PI16 expression in fibroadenoma fibroblasts is associated with subsequent breast cancer development. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2077.