McCauley, Bryan M.

Abstract Ovarian endometrioid carcinoma (OEC) is the second most common histotype associated with the most favorable prognosis among ovarian carcinomas. Similar to endometrial carcinoma, OEC exhibit significant molecular diversity. We aimed to develop a practical immunohistochemical (IHC) prognosticator by integrating IHC biomarkers with clinical substage, and surgical outcomes. This multi-institutional study included participants with primary invasive OEC from the Alberta Cancer Registry (AOVT), Mayo Clinic, and Disease of the Ovary and their Evaluation Study (DOVE). Pathology review excluded misclassified high-grade serous and mesonephric carcinomas leaving 422 OEC cases (AOVT N=158; DOVE N=143; Mayo N=121) with available tumor biospecimens who did not receive neoadjuvant treatment. Clinical characteristics included age, stage, grade, residual disease and 5-year survival. Clinical risk group was defined by combining stage and residual disease: Low (FIGO stage IA/IB & no macroscopic disease), Intermediate (stage IC-II& no macroscopic disease), High (stage III/IV or macroscopic disease). Tissue microarrays were stained for TP53, PMS2, MSH6, PGR, and CTNNB1 using IHC and were scored by a single pathologist. Tumors were hierarchically categorized as TP53-abnormal (TP53abn)/PGR-loss, mismatch-repair deficient (MMRd, via PMS2 and MSH6), nuclear-CTNNB1 (nCTNNB1), or no-specific-immunohistochemical-profile (NSIP). Overall survival (OS) at 5 years was compared across clinical risk and biomarker groups using Cox regression, adjusted for age and site to generate hazard ratios (HR), and 5-year survival rates (5-YSR). High clinical risk group was associated with worse 5-year OS compared to low & intermediate risk (p<0.0001). Hierarchical IHC biomarker groups were also associated with 5-year OS, adjusted for age and study site (p<0.0001), with consistently worse survival for combined TP53abn/PGR-loss (n=17, HR=6.07, 95% CI 2.78-13.26), PGR-loss only (n=55, HR=4.17, 95% CI 2.19-7.94), TP53abn only (n=29, HR=2.04, 95% CI 0.85-4.90), and better survival for nuclear-CTNNB1 (n=146, HR=0.22, 95% CI 0.07-0.65) compared to NSIP (n=132). Within the low-risk group, MMRd, nCTNNB1, or NSIP had greater than 97% 5-YSR, while OEC with TP53abn/PGR-loss or PR-loss only had less than 75% 5-YSR. Within the intermediate group, only nCTNNB1 exceeded a 5-YSR of greater than 97%. Within the high-risk group, 5YSR for nCTNNB1 OEC was 90.9%, compared to only 16.7% for TP53abn/PGR-loss. This IHC-based algorithm refines prognosis beyond clinical substage. It identifies low-risk patients with unfavorable prognosis (TP53abn/PGRloss, PGR loss only) who may benefit from adjuvant therapy, and also patients with favorable prognosis within the intermediate group for whom adjuvant therapy could be de-escalated. Further patient selection for chemo vs. hormone therapy in the high-risk group may be improved by biomarkers. Citation Format: Gamaliel Taengwa, Hunter J. Atkinson, Bryan M. McCauley, Sebastian M. Armasu, Chen Wang, Jennifer A. Doherty, Holly R. Harris, Ellen L. Goode, Martin Koebel, Stacey J. Winham. IHC-based prognostic sub-stratification of ovarian endometrioid carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 1184.

Abstract Uptake of tamoxifen is limited to 5-15% of all eligible women due to concerns regarding medication side effects combined with the lack of ability to predict which women will benefit from the therapies. We used a unique retrospective sample of n=92 high-risk women with paired benign biopsies obtained before (PreTam) and during tamoxifen (OnTam) to discover tissue gene expression biomarkers of biologic response, defined as change (Δ) in lobular Ki67. Ki67 was digitally quantified in normal lobules from PreTam and OnTam benign tissue samples and samples with PreTam Ki67 = 0 were excluded. Data were analyzed from 51 women with both PreTam and OnTam Ki67 (median age = 49 years and median BMI = 25.5 kg/m2 at PreTam biopsy). OnTam biopsies were collected a median of 11.5 months after PreTam biopsy (median 6.5 months after starting tamoxifen; dose 20 mg/day in 86%). Median Ki67 significantly decreased overall (Δ Ki67 = -0.29%, p=0.003), but the effect was restricted to women with baseline Ki67 ≥ 0.5% (n=38, Δ Ki67 = -0.78%, p=0.0002); no significant change occurred with baseline Ki67 < 0.5 (Δ Ki67 = 0.19%, p=0.23). Δ Ki67 was inversely proportional to baseline Ki67. RNA-seq was successful for 171 benign tissue samples (including 53 PreTam-OnTam pairs). After edgeR normalization (>14,600 genes), PreTam vs OnTam comparison across 33 pairs with baseline Ki67 ≥ 0.5% yielded 66 differentially expressed genes (fold-change > 2 and p<0.01). At p<0.01, ranked gene set enrichment analysis revealed 27 gene sets enriched for reduced expression with Tam (with top-ranked gene set related to steroid hormone biosynthesis) and 59 gene sets enriched for increased expression with Tam (with top-ranking gene sets related to B cell and T cell receptor signaling, regulation of cell cycle, and other immune-related pathways). To identify predictors of response, we correlated baseline PreTam gene expression with Δ Ki67 in 37 women with available baseline PreTam RNAseq and Δ Ki67 data. Partial correlation analysis (via ‘ppcor’ package, adjusted for library qubit) revealed 73 genes with significant positive correlation (rho > 0.50) and 14 genes with significant negative correlation (rho < -0.50) with Δ Ki67 (p<0.01). At p<0.01, ranked gene set enrichment analysis yielded 67 gene sets enriched with negative correlation (i.e. increased expression associated with a reduction in Ki67), including pathways related to ribosome biogenesis, DNA recombination, and nucleic acid metabolic processes; there were 62 gene sets enriched for positive correlation (i.e. decreased expression associated with a reduction in Ki67), including pathways such as VEGF and ERBB signaling. Our data support (i) baseline Ki67 ≥ 0.5 % and (ii) an 87-gene baseline signature as complementary biomarkers of tamoxifen response. Prospective validation of this combined assay could target tamoxifen to the women most likely to benefit, potentially overcoming a major barrier to chemoprevention uptake. Citation Format: S. J. Winham, C. Wang, Y. Liu, B. M. McCauley, D. J. Tabrizi, D. L. Gehling, J. L. Fischer, L. R. Seymour, M. H. Solanki, M. E. Sherman, K. R. Lohani, T. L. Hoskin, D. C. Radisky, A. C. Degnim. Gene expression signatures of beneficial response to tamoxifen for breast cancer prevention [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 PS3-01-18.

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 Background: The tumor microenvironment (TME) plays a pivotal role in ovarian cancer (OC) progression and prognosis, while also contributing to biological differences between primary and metastatic tumors. This study examines OC TMEs to uncover associations with clinical prognosis and tumor biology by analyzing paired primary and metastatic tumors from the same patients. Methods: This study focused on 57 stage-IIIC/IV OC patients treated at the Mayo Clinic, all of whom underwent surgical debulking and adjuvant therapies. All patients provided informed consent, and the study received IRB approval. A tissue microarray (TMA) was specifically designed and constructed, containing paired primary and metastatic tissue cores from the same patients. 147 tissue cores from the constructed TMA were profiled using a 35-antibody panel, with 17 antibodies for cell phenotyping and 18 for functional state characterization. Profiling was performed using Cell DIVE, a multiplexed imaging solution at the single-cell level developed by Leica Microsystems. After cell segmentations and classifications, detailed spatial niche and regional analyses were performed at the single-cell level. Immune cell populations, as well as their TME distributions, were characterized to conduct prognostic associations and contrast primary and metastasis differences. Results: A total of 1,292,988 total cells (after excluding low-density signals and ambiguous classifications) were analyzed, with a median of 8,033 cells per core. Using spatial neighborhood analysis, 12 distinct spatial niches were identified with specific cell types and/or unique functional states. Among these, a macrophage- and fibroblast-enriched niche at the tumor-stroma interface was associated with improved overall survival (p=0.008). Another rare Treg-enriched niche, along with other immune cells, demonstrated protective effects, particularly in patients with residual macroscopic tumors after debulking surgery (p=0.05), while no significant effects were observed in those without visible residual disease (p=0.8). When comparing primary and metastatic tumors, metastatic lesions exhibited significantly increased tumor mass (p=2e-4) and a notable reduction in helper T cells (p=0.04) in tumor areas, as well as significantly increased fibroblast cells in tumor-stroma interfacing regions (p=0.002), reflecting distinct immunosuppressive and tumor-promoting shifts. Conclusion: This study reveals spatial and cellular differences in primary and metastatic OC TMEs, distribution differences linked to prognosis and surgical outcomes. These findings emphasize the potential of spatially resolved TME profiling to refine adjuvant and neoadjuvant therapeutic strategies. Citation Format: {Authors}. {Abstract title} [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 6266.

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.

Abstract Background: Breast cancer (BC) remains a leading health concern worldwide and is often undetected until it metastasizes, limiting treatment options and worsening prognosis. Early detection of molecular and immune markers in benign breast disease (BBD) could identify women at elevated risk of developing invasive, node-positive BC, enabling targeted surveillance and prevention efforts. Building on this premise, we investigated the immune and molecular landscape of BBD biopsies preceding BC development to enhance risk stratification and inform preventive strategies. Methods: Utilizing the Mayo Clinic BBD cohort, we conducted a case-control study comparing women who developed node-positive BC following their BBD biopsy (cases; n=8) to those who remained cancer-free (controls; n=11), matched on patient age and biopsy date. Differential gene expression was assessed using the NanoString nCounter system to identify differentially expressed genes between cases and controls. We developed a multiplex immunofluorescence (MxIF) approach using the Opal system by Akoya Biosciences for comprehensive marker detection in formalin-fixed, paraffin-embedded (FFPE) tissue samples. Digitized images were segmented for cell phenotyping, and spatial relationships of immune cells were analyzed and compared between cases and controls. Results: Our findings revealed significantly increased expression levels of immunosuppressive genes in the case group, including CD48, CD84, IL-32, and LAIR1. Immunohistochemical analyses showed that controls exhibited higher frequencies of CD68+ (macrophages), CD11c+ (M1 macrophages), and CD206+ (M2 macrophages) cells compared to cases. Notably, controls had a significant increase in CD68+CD11c+ cells, indicative of a pro-inflammatory, antitumorigenic M1 macrophage polarization. Furthermore, our MxIF analyses provided novel insights into spatial biomarker localization, enhancing prognostic accuracy. Conclusions: The decreased numbers of immune cells and increased expression of immunosuppressive genes in BBD biopsies may be associated with an elevated risk of developing axillary node-positive BC. These findings emphasize the importance of dissecting molecular and immune interactions in BBD for risk assessment. Our results have the potential to improve individualized risk stratification, leading to more targeted surveillance and informed screening. This research not only contributes to our understanding of BC pathogenesis but also opens avenues for developing novel preventive strategies, potentially reducing BC incidence and mortality through early intervention. Citation Format: Matilde Rossi, Nicole Cruz-Reyes, Trista Navarro, Melody L. Stallings-Mann, Bryan M. McCauley, Robert A. Vierkant, Stacey J. Winham, Mark E. Sherman, Amy C. Degnim, Derek C. Radisky. Immune and molecular markers in benign breast disease predict risk of node-positive breast cancer [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 1912.

Abstract Background Benign breast disease (BBD) increases breast cancer (BC) risk progressively for women diagnosed with nonproliferative change, proliferative disease without atypia (PDWA), and atypical hyperplasia (AH). Leveraging data from 18 704 women in the Mayo BBD Cohort (1967-2013), we evaluated temporal trends in BBD diagnoses and how they have influenced associated BC risk over 4 decades. Methods BC risk trends associated with BBD were evaluated using standardized incidence ratios (SIRs) and age–period–cohort modeling across 4 eras—premammogram (1967-1981), precore needle biopsy (CNB) (1982-1992), transition to CNB (1993-2001), and CNB era (2002-2013). Results With a median follow-up of 15.8 years, 9.9% of women were diagnosed with BC (invasive and/or DCIS). From the premammogram era to the CNB era, we observed a significant increase in BC risk, rising from an SIR of 1.61 to 1.99. The proportion of proliferative BBD diagnoses (PDWA or AH) increased markedly over time (28.1%-49.7%), as did the proportion of DCIS events (11%-28%; χ2 P < .001). Within specific BBD categories, the risk of invasive BC increased modestly. Conclusions Absolute risk of BC within BBD categories remained stable, but the relative risk of BC after BBD increased over time due to notable increases in higher risk BBD lesions, specifically PDWA and AH. These findings illustrate how evolving screening practices have changed the risk profile of BBD and should inform management strategies for patients with BBD in modern clinical settings.

Abstract Background Most breast biopsies are diagnosed as benign breast disease, with 1.5- to 4-fold increased breast cancer risk. Apart from pathologic diagnoses of atypical hyperplasia, few factors aid in breast cancer risk assessment of these patients. We assessed whether a 313–single nucleotide variation (formerly single-nucleotide polymorphism) polygenic risk score stratifies risk of benign breast disease patients. Methods We pooled data from 5 Breast Cancer Association Consortium case-control studies (mean age = 59.9 years), including 6706 participants with breast cancer and 8488 participants without breast cancer. Using logistic regression, we estimated breast cancer risk associations by self-reported benign breast disease history and strata of polygenic risk score, with median polygenic risk score category among women without benign breast disease as the referent. We assessed interactions and mediation of benign breast disease and polygenic risk score with breast cancer risk. Results Benign breast disease history was associated with increased breast cancer risk (odds ratio [OR] = 1.48, 95% confidence interval [CI] = 1.37 to 1.60; P < .001). Polygenic risk score increased breast cancer risk, irrespective of benign breast disease history (Pinteraction = .48), with minimal evidence of mediation of either factor by the other. Women with benign breast disease and polygenic risk score in the highest tertile had more than twofold increased odds of breast cancer (OR = 2.73, 95% CI = 2.41 to 3.09), and those with benign breast disease and polygenic risk score in the lowest tertile experienced reduced breast cancer risk (OR = 0.79, 95% CI = 0.70 to 0.91) compared with the referent group. Women with benign breast disease and polygenic risk score in the highest decile had a 3.7-fold increase (95% CI = 3.00 to 4.61) compared with those with median polygenic risk score without benign breast disease. Conclusion Breast cancer risks are elevated among women with benign breast disease and increase progressively with polygenic risk score, suggesting that optimal combinations of these factors may improve risk stratification.

Abstract Transcriptome profiling using RNA sequencing (RNA-seq) of bulk formalin-fixed paraffin-embedded (FFPE) tissue blocks is a standard method in biomedical research. However, when used on tissues with diverse cell type compositions, it yields averaged gene expression profiles, complicating biomarker identification due to variations in cell proportions. To address the need for optimized strategies for defining individual cell type compositions from bulk FFPE samples, we constructed single-cell RNA-seq reference data for breast tissue and tested cell type deconvolution methods. Initial simulation experiments showed similar performances across multiple commonly used deconvolution methods. However, the introduction of FFPE artifacts significantly impacted their performances, with a root mean squared error (RMSE) ranging between 0.04 and 0.17. Scaden, a deep learning-based method, consistently outperformed the others, demonstrating robustness against FFPE artifacts. Testing these methods on our 62-sample RNA-seq benign breast disease cohort in which cell type composition was estimated using digital pathology approaches, we found that pre-filtering of the reference data enhanced the accuracy of most methods, realizing up to a 32% reduction in RMSE. To support further research efforts in this domain, we introduce SCdeconR, an R package designed for streamlined cell type deconvolution assessments and downstream analyses.