Thompson, E. Aubrey

Abstract Triple-Negative Breast Cancer (TNBC) presents a significant clinical challenge due to its heterogeneity and lack of targeted treatment options, with chemotherapy and immunotherapy combinations currently serving as the main therapeutic strategy. Efforts to address TNBC heterogeneity have largely focused on classifying intrinsic cancer subtypes based on differential tumor mRNA expression, a strategy that has proven effective in hormone receptor-positive breast cancers but has yet to yield a clinically useful predictor of survival or treatment response in TNBC. We hypothesize that both the intrinsic characteristics of TNBC and the surrounding immune microenvironment influence treatment outcomes and that immune cell infiltration affects TNBC subtype classification and response variability. To explore this hypothesis, we compared the predictive and prognostic capabilities of cancer subtype-based (TNBC-type) gene signatures and immune cell deconvolution methods (CIBERSORT) within the same TNBC datasets. We found that immune cell abundance outperformed TNBC subtype-signatures and multicellular immune cell aggregates showed the highest performance of all. More specifically, aggregate immune cells associated with tertiary lymphoid structures and tumor associated macrophages/monocytes demonstrated statistically significant predictive value. These findings were confirmed in an independent cohort of 67 TNBC patients treated with neoadjuvant chemotherapy. Further, single-cell RNA sequencing analysis revealed that the predictive power of cancer-subtype could be partially explained by immune- and stromal features. Examination of single-cell resolution spatial transcriptomic data confirmed presence of TLS-like, TAM- and cancer-stromal niches within TNBC biopsy samples that were associated with treatment response. Overall, our results highlight that immune cell aggregates, which capture the spatial organization of the TME, outperform cell-type specific gene signatures in predicting TNBC outcomes. Our novel approach provides a robust framework for interpreting spatial relationships in bulk RNA-seq data, offering a pathway for reconciling past data with current advancements in spatial profiling technologies. This work paves the way for future studies to leverage the multi-cellular complexity of TNBC, enhancing diagnostic precision and facilitating the development of therapies that strategically modulate the tumor microenvironment for improved anti-cancer responses.

Background Tumor-infiltrating lymphocytes (TILs) are established determinants of clinical outcomes in breast cancer. 1–6 While stromal TILs (sTILs) are commonly evaluated due to easier scoring and higher interobserver reproducibility, intraepithelial TILs may provide additional insights into anti-tumor immunity. 7 We aimed to comprehensively characterize immunotype-associated cellular landscapes in triple-negative breast cancer (TNBC) and identify features associated with clinical outcomes. Methods 212 TNBC tumors were classified into three immunotypes based on immune infiltrate location and density: immune desert (ID), immune excluded (IE), and immune inflamed (IN). 8 Single-cell spatial transcriptomics was performed on 75 tumors to define the cellular composition and functional states of the tumor microenvironment across immunotypes. Findings were validated and integrated with bulk RNA sequencing data and clinical outcome datasets from FinXX, CALGB-40603, I-SPY 2, and Real-World Clinico-Genomic Data (RWCGD) cohorts. Results Patients with IN tumors had significantly improved outcomes compared with ID tumors. Despite high sTILs, IE tumors showed poor outcomes similar to ID tumors. Single-cell spatial analysis revealed that ID and IE tumors exhibited reduced major histocompatibility complex I/II expression and fewer tumor-resident plasmacytoid dendritic cells (pDCs) compared with IN tumors, which were enriched for interferon-alpha (IFNα) and interferon-gamma (IFNγ) responses. High IFN response scores were associated with favorable outcomes across multiple therapy types in independent datasets. Deconvolution of RWCGD bulk RNA-seq data confirmed that pDC abundance correlated with improved outcomes specifically in hormone receptor–negative subtypes. Conclusions Our study highlights pDCs and IFN signaling as hallmarks of effective anti-tumor immunity in TNBC. Immunotype-based profiling underscores the limited prognostic value of sTILs alone in immune-excluded tumors and supports pDCs and IFN pathways as potential biomarkers for prognosis and therapeutic development in TNBC.

564 Background: HER2+ ILC is rare (~5% of ILC), with limited data on long-term adjuvant trastuzumab outcomes. We investigated late recurrence and immune landscapes of HER2+ ILC vs invasive ductal carcinoma (IDC) in the phase III NCCTG N9831 trial (NCT00005970) and a real-world cohort. Methods: We evaluated 3304 early-stage HER2+ breast cancer patients (pts) enrolled in N9831 (122 ILC, 3182 IDC). Recurrence-free survival (RFS) and overall survival (OS) were estimated (Kaplan-Meier) and compared using multivariable Cox regression adjusting for age, tumor size, grade, hormone receptor (HR), and nodal status. Findings were validated in a real-world cohort of HER2+ pts (Caris Life Sciences CODEai platform). Immune microenvironments were profiled by WTS deconvolution (Quantiseq). Real-world overall survival was calculated from trastuzumab start to last contact. Results: In N9831, ILC pts were older (median 54 vs 49 y), more ER+ (74.6% vs 51.4%), and had more N3 disease (25.4% vs 12.7%) compared to IDC. ILC pts derived a comparable magnitude of benefit from adjuvant trastuzumab compared to the overall population (HR 0.58 vs 0.67). However, long-term outcomes diverged: while the 5-year RFS was similar (77.1% vs 82.7%), ILC pts experienced a steep decline between years 5-15 (77.1% to 57.7%; ~20% decline) vs IDC (82.7% to 72.7%; ~10% decline) after multivariable Cox analysis (Table). In the real-world early/advanced cohort (n=1328; 26 ILC vs 1302 non-ILC [subset IDC n=595]) treated with trastuzumab-based therapy, ILC pts had worse mOS (33.7 vs 68.6 m, HR 2.01, 95%CI 1.00-4.07, p=0.04) compared to non-ILC. However, there was no statistically significant difference when compared specifically to IDC (HR 1.77, 95% CI 0.87-3.61, p=0.11). ILC had: i) numerically lower tumor mutation burden (TMB)-high (4.2% vs 9.5%, p=0.38); ii) higher infiltration of B cells, Tregs, and M2 macrophages (p<0.05); iii) upregulated MHC class II expression (HLA-DOA, p<0.05); and iv) downregulated proliferative and DNA repair pathways (E2F, G2M, MYC; FDR <0.25) compared to non-ILC. Conclusions: HER2+ ILC carries late recurrence risk despite initial trastuzumab benefit. The unique immune landscape (Treg/M2 macrophage enrichment and lower proliferative signatures) distinguishes HER2+ ILC from IDC, highlighting the need for tailored strategies. Long-term RFS and OS in HER2-positive ILC vs IDC (N9831 trial). Population N 5-year% (95% CI) 10-year% (95% CI) 15-year% (95% CI) ILC 122 RFS 77.13% (69.9, 85.1) OS 84.04% (77.7, 90.9) RFS 70.57% (62.7, 79.4) OS 76.0% (68.7, 84.2) RFS 57.67% (44.2, 75.1) OS 65.22% (56.6, 75.2) IDC 3182 RFS 82.71% (81.4, 84.1) OS 90.18% (89.1, 91.2) RFS 77.45% (75.9, 78.9) OS 81.81% (80.4, 83.2) RFS 72.68% (70.77, 74.6) OS 76.68% (75, 78.4)

1591 Background: The 21-gene OncotypeDX (ODX) recurrence score (RS) is the standard for chemotherapy decision-making in HR+/HER2- early breast cancer (EBC), but cost limits accessibility in resource-constrained settings. The Magee equations (MEs) use routine pathology features (Nottingham grade and IHC; ER/PR/HER2/Ki-67) to estimate RS. We performed a meta-analysis to validate MEs performance as a triage tool for ODX testing and a qualitative synthesis to identify sources of discordance, highlighting the transition toward objective digital pathology AI models. Methods: A systematic review identified validation studies comparing MEs with RS in HR+ EBC. Studies with sufficient data to construct a 2X2 contingency table were included; neoadjuvant trials were excluded. Primary outcomes were Negative Predictive Value (NPV) for identifying low-risk cases (RS <26 for the current TAILORx cutoff and RS<31 for the historical cutoff) and ODX test sparing rate (TSR). Data were pooled using random-effects models. Qualitative themes regarding interpretation variability were extracted from study results and discussion sections. Results: Thirteen studies met the inclusion criteria, representing 5396 patients in global cohorts from the USA, Mexico, Colombia, Jordan, France, Belgium, and Canada. For RS >26, Magee <18 achieved pooled NPV of 0.96 (95% CI: 0.94-0.97) and TSR 61% (95% CI:51%-69%). For RS >31, NPV increased to 0.99 (95% CI: 0.97-1.00) and TSR 52% (95% CI: 44%-59%). Pooled diagnostic performance for Magee <18 predicting RS <26 demonstrated 83% sensitivity and 71% specificity (AUC 0.81, LR+:2.53, LR-:0.28). Qualitative analysis of discordance identified: (1) Inter-observer variability: Nottingham mitotic counts and Ki-67 scoring were the primary drivers of score fluctuations. (2) IHC quantification: Variations in H-score calculation and Allred-to-H-score conversion introduced heterogeneity (3) Pre-analytical and biological factors: Inflammation and stromal proliferation occasionally inflated genomic RS; selection of non-representative blocks and intratumor heterogeneity further contributed to discordance (4) Technological solutions: Digital pathology and AI models emerge as solutions to standardize these variables. Conclusions: Magee-based triage provides a safe and cost-effective strategy for HR+ EBC risk stratification, with NPV up to 99% for excluding high-risk disease and sparing up to 61% of ODX testing. These results confirm a robust histopathological signal. Transitioning to objective digital pathomics provides a pathway to reduce manual subjectivity and democratize precision oncology globally. Pooled diagnostic accuracy of Magee equations by cutoff. Magee score and RS cutoff Number of studies Total patients Pooled NPV (95% CI) ODX test sparing rate (95% CI) Magee <18/ RS>26 8 4153 0.96 (0.94-0.97) 61% (51%-69%) Magee <18/ RS>31 5 1243 0.99 (0.97-1.00) 52% (44%-59%)

Pulsed Electric Field (PEF) ablation is a non-thermal cancer treatment that disrupts tumor cell membranes while preserving the immune microenvironment and promoting immunogenic cell death. We present a case of a patient with metastatic hormone receptor-positive, HER2-low breast cancer who achieved a durable clinical response after PEF in combination with an immune checkpoint inhibitor (pembrolizumab). The patient remained off systemic therapy for 14 months without disease progression. Single-cell spatial molecular imaging (SMI) and gene set enrichment analysis (GSEA) were performed to evaluate immune microenvironment changes pre- and post-PEF treatment. Spatial transcriptomics of the tumor cell compartment revealed a post-PEF enrichment of immune-related pathways, including interferon alpha/beta and gamma signaling and MHC class I antigen processing and presentation, alongside increased infiltration of immune cells: CD8+ T cells, plasmablasts, and monocytes within the tumor neighborhood. This hypothesis-generating case suggests PEF’s potential to reshape the tumor-immune microenvironment when combined with immune checkpoint blockade, warranting further studies on its role in combination immunotherapy strategies.

Abstract Background: Most colorectal cancer (CRC) arises from polyps and is mainly prevented by polypectomy. The most important polyps to manage with colonoscopy are those with highest CRC risk- namely, advanced polyps (&gt; 1cm, villous histology or high-grade dysplasia (HGD). Yet, 48% of advanced polyps recur within 1 to 3 years of removal, and up to 5% of advanced polyps under surveillance still progress to CRC. We performed this pilot study to investigate molecular and microenvironment heterogeneities of polyps and how they might impact their clinical behavior. Methods: GeoMx spatial transcriptomics was performed on FFPE tissues from three different polyp outcome phenotypes (POPs) including the polyp that does not recur (POP-NR), that recurs following polypectomy but cured by colonoscopy (POP-R) or the polyp despite polypectomy develops CRC at the polypectomy(ies) site (POP-CRC). Normal colon and polyp with low or HGD from the index polyp were assessed from 6 patients with POP-NR, 9 with POP-R and 12 with POP-CRC with a minimum of 2 follow up colonoscopies at 3-year intervals. Epithelium was identified as PanCK positive, and stroma identified as PanCK negative and positive nuclear staining. Cell type deconvolution was implemented using single-cell adult human intestinal tract catalogue (Elmentaite et al., https://www.gutcellatlas.org/). Differential gene expression (DEG), cell type abundance and functional enrichment analyses was performed using linear mixed effects model, and observations with p-value &lt; 0.05 and log2FC &gt;= |1| are reported. Results: The greatest number of DEGs were identified in stroma of the index POP-CRC compared to POP-NR polyps (n = 17 down and 11 upregulated genes), followed by epithelium of the index POP-CRC vs POP-NR polyps (n = 10 down and one upregulated gene(s)). Between the index POP-CRC and POP-R, epithelium showed downregulation of 7 genes, and upregulation of no genes. In stroma two genes were down and none upregulated. Four genes were downregulated in stroma of the index POP-R vs POP-NR polyp and 3 in epithelium, and one gene was upregulated in stroma and another in epithelium. MZT2B was upregulated in stroma of both the index POP-R (log2FC = 1.09, p-value = 0.0014) and POP-CRC (log2FC = 1.29, p-value = 0.0001) and has been implicated as a prognostic marker associated with worse prognosis in certain cancers. IgM and IgA plasma cells, proximal progenitors, MMP9+ inflammatory macrophages and myofibroblasts were found to be downregulated in epithelium of index POP-CRC and POP-R compared to POP-NR polyps; while microfold cells were downregulated in stroma of index POP-CRC and POP-R compared to POP-NR polyps. Conclusions: The stromal microenvironment and less so, epithelial features present in the index polyp differ based on a polyp’s future clinical behavior. The polyp-immune interaction warrants further study as a potential prevention target against polyp progression. Citation Format: Mrunal Dehankar, Lisa A. Boardman, Daniel O'Brien, E. Aubrey Thompson, Jennifer M. Kachergus, Ji Shi, Alexej Abyzov, Milovan Suvakov, Rondell P. Graham, Chen Wang. Stromal immune composition significantly contributes to adenomatous polyp recurrence or progression to cancer [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 4018.

Abstract Background: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer and remains difficult to treat due to the absence of targeted therapies. While recent advances in immunotherapy, particularly with immune checkpoint inhibitors (ICIs), have transformed the treatment landscape for many cancers, response rates to ICIs remain low for TNBC, largely due to tumor-intrinsic immune evasion mechanisms. Objective: We identify and characterize a novel immune evasion pathway in TNBC driven by deregulation of cancer cell-intrinsic protease-activated receptor 1 (PAR1), a thrombin receptor frequently upregulated in aggressive tumors. Methods and Results: Through integrative bioinformatic analyses, genetic perturbations, xenograft models (immunodeficient and immunocompetent), flow cytometry-based tumor immune profiling, and RNA-seq, we demonstrate that PAR1 activation enhances immune evasion in TNBC. Mechanistically, we show that the paracaspase MALT1 acts as a critical downstream effector of PAR1 signaling and promotes immune escape by driving PD-L1 expression in TNBC cells. Functional assays reveal that genetic depletion of MALT1 or PD-L1 increases TNBC cell susceptibility to T cell-mediated cytotoxicity in vitro and significantly suppresses tumor growth in vivo. Notably, through knock-in and rescue experiments using a catalytically inactive MALT1 mutant, we reveal that MALT1’s scaffolding - rather than protease - function is essential for PD-L1 regulation. Immune cell depletion assays further identify CD4+ T cells, CD8+ T cells, and natural killer (NK) cells as key mediators of the anti-tumor immune response suppressed by the PAR1-MALT1 axis. These findings are supported by human TNBC specimen analyses, where MALT1 expression inversely correlates with T cell activation and positively associates with PD-L1 in PAR1-high, but not PAR1-low, tumors. Conclusion: Our study reveals immune evasion as a novel mechanism of PAR1-driven breast cancer pathogenesis, mediated by a PAR1/MALT1/PD-L1 signaling cascade. These findings bridge a critical gap by positioning MALT1 at the interface between tumor-intrinsic signaling and the immune microenvironment - two areas of CARMA-BCL10-MALT1 (CBM) complex research that have largely evolved in parallel over the years. Importantly, targeting MALT1 may enhance immunotherapy efficacy in TNBC. Given the availability of MALT1 inhibitors in clinical development, our work supports combining MALT1 inhibition with ICIs or other immune-oncology agents as a promising strategy to overcome immune resistance in TNBC. Citation Format: Dong Hu, Prasanna Ekambaram, Zheqi Li, Linda Klei, Maria L. Beecher, Yi Liu, Zongyou Cai, John Little, Jeffrey A. Meridew, Jia-Ying Lee, E. Aubrey Thompson, Tullia C. Bruno, Lidija Covic, Seung-Oe Lim, Anushka Dongre, Heide L. Ford, Mien-Chie Hung, Adrian V. Lee, Steffi Oesterreich, Linda McAllister-Lucas, Peter C. Lucas. A cancer cell-intrinsic PAR1/MALT1/PD-L1 signaling pathway drives immune evasion in triple-negative breast cancer [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 7392.

Abstract Circulating tumor DNA (ctDNA)-based minimal residual disease (MRD) detection is a paradigm shift for risk stratification in early-stage breast cancer (eBC) surveillance. While the prognostic signal is clear, comprehensive synthesis across molecular subtypes remains limited, hindering the translation of prognostic findings into actionable, intervention-guided trials. We conducted a systematic review and meta-analysis following PROSPERO registration (CRD420251122005). Databases including PubMed/MEDLINE, Embase, and Cochrane CENTRAL were searched through September 2025. Studies involving eBC (stage I-III) patients with ctDNA-based MRD detection using validated assays, survival outcomes, and ≥12 months follow-up were included. Random-effects meta-analysis assessed the pooled hazard ratio (HR) for disease recurrence. Subgroup analyses explicitly evaluated molecular subtypes (TNBC, HER2+, HR+/HER2-) based on detection performance and gene mutation profiles. From 1,246 records, 59 studies were included, encompassing 12,847 eBC patients. Meta-analysis demonstrated an extreme prognostic value of disease-free survival from 26 studies with a pooled HR of 9.95 (95% CI: 6.50-15.25, p&lt;0.0001). High heterogeneity was observed (I2=67.2%), largely driven by differences in tumor biology and assay technology. Subtype-specific analysis highlighted distinct shedding rates: TNBC showed the highest baseline detection (80−83.8%) and sensitivity (85−90%). HR+/HER2-showed the lowest baseline detection (14.6−30%). Gene mutation analysis revealed actionability: TP53 predominated in TNBC, while PIK3CA, ESR1, and AKT1 mutations were more frequent in HR+/HER2- disease. Crucially, the time from ctDNA detection to clinical recurrence provided a consistent median lead time of 10.2 months (range 7.5−16months), with cases detected up to 68 months prior. Specificity exceeded 95% across all subtypes. This meta-analysis establishes ctDNA-based MRD detection as a clinically valid biomarker with a nearly 10-fold increased recurrence riskin ctDNA-positive patients. The high heterogeneity underscores the necessity of tailored, subtype-specific surveillance protocols and selection of ultra-sensitive assays. The consistent ∼10-month lead time defines a critical intervention window, providing a clear rationale for ongoing and future randomized clinical trials evaluating ctDNA-guided therapeutic intensification against the distinct molecular profiles observed in each breast cancer subtype. Citation Format: Panuch Eiamprapaporn, Thiti Susiriwatananont, Yaohua Ma, Hataiwan Ratanabunjerdkul, Panchanin Patanayindee, Lucksika Wanichtanom, E. Aubrey Thompson, Saranya Chumsri. Prognostic utility of minimal residual disease detection using circulating tumor DNA in early-stage breast cancer: A systematic review and meta-analysis [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 5380.

Abstract Background: MHC class II molecules are normally restricted to professional antigen-presenting cells. Prior TNBC studies have focused on immune-compartment MHC-II. Using spatial transcriptomics, we recently identified aberrant tumor-cell MHC-II expression. Here, we characterized the immune architecture surrounding HLA-DRA-expressing tumor cells. Methods: High-plex single-cell spatial transcriptomics (CosMxTM SMI) was performed on treatment-naïve TNBC (Mayo TMA, n=65) and two neoadjuvant pembrolizumab cohorts (Mayo n=8; Emory n=4). Spatial neighborhoods were mapped relative to HLA-DRA-high tumor cells. Differential expression and adaptive immune gene-set scores were evaluated. Clinical relevance was assessed using FinXX (n=114), I-SPY2 (n=364), and Caris CODEai (n=3,662). Results: HLA-DRA-high tumor regions showed significant enrichment of adaptive immune subsets within ≤50 μm, including B cells, CD8+ T cells, NK cells, macrophages, and plasmacytoid dendritic cells. In pembrolizumab-treated cohorts, responders exhibited higher proportions of HLA-DRA-high tumor cells and greater numbers of B cells, plasmablasts, CD4+ and CD8+ T cells, and macrophages near tumor cells. Responders’ tumors showed upregulation of antigen-presentation machinery, B-cell/plasma-cell programs, CXCL13, and NOTCH3/DLL1. Across I-SPY2 and FinXX, higher HLA-DRA correlated with pathologic complete response and improved survival. In CODEai TNBC, high HLA-DRA expression correlated with higher CXCL13 (median TPM 7.5 vs. 1.1, q&lt;0.05) and longer overall survival (24.2 vs. 18.5 months, HR 0.77, 95% CI 0.71-0.83, p&lt;0.0001). This association was TNBC-specific. High CXCL13 also predicted improved survival (26.6 vs. 16.5 months, HR 0.64, 95% CI 0.59-0.69, p&lt;0.0001). Conclusions: Tumor-cell HLA-DRA expression defines a highly organized adaptive immune niche enriched with B cells and activated T-cell populations in close proximity. Adaptive immune programs—including enhanced antigen presentation and CXCL13-mediated B-cell/plasma-cell pathways—consistently associate with improved outcomes across TNBC cohorts treated with chemotherapy and immune checkpoint blockade. Aberrant tumor-cell MHC-II expression may contribute to antitumor immunity and warrants further investigation as a potential therapeutic target. Citation Format: Yi Liu, Sachin Kumar Deshmukh, Thiti Susiriwatananont, Panuch Eiamprapaporn, Bogang Wu, Heikki Joensuu, Roberto A. Leon-Ferre, David Zahrieh, Judy C. Boughey, James Newell Ingle, Fergus J. Couch, Sharon Wu, Shipra Gandhi, Maryam Lustberg, George W. Sledge, Matthew P. Goetz, Keith L. Knutson, E Aubrey Thompson, Jodi Carter, Saranya Chumsri. Spatially resolved tumor-cell MHC class II shapes adaptive immunity and therapeutic response in triple-negative breast cancer [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 1200.

Abstract Background: The Breast Cancer Index (BCI) is clinically validated to stratify patients with hormone receptor-positive (HR+), early-stage BC based on the risk of overall (0-10 years [y]) and late (5-10 y) distant recurrence (DR) with N0/N1 lymph node involvement. Validation of BCI in patients with HR+ HER2+ BC has been limited, especially in patients treated with adjuvant trastuzumab-based chemotherapy. The HOXB13 and IL17BR genes constitute the predictive component of BCI and are known to exhibit an ER-dependent correlation pattern with HER2. We evaluated the prognostic performance of BCI in patients with HR+ HER2+ disease enrolled in the NCCTG N9831 (Alliance) trial treated with the combination of chemotherapy and trastuzumab. Methods: All available tumor specimens from patients with HR+ HER2+ N0/N1 BC in arms B (sequential trastuzumab) and C (concurrent trastuzumab) of the trial were included. BCI testing was performed blinded to clinical outcomes. The primary endpoint was distant recurrence-free interval (DRFI). BCI (N0) and BCIN+ (N1) risk groups were calculated based on prespecified cut points. Kaplan-Meier analysis and log-rank testing were used to assess the prognostic significance of BCI/BCIN+ risk groups based on DR. Cox proportional hazard models with and without clinical covariates were used to estimate hazard ratios (HRs), and the associated 95% confidence intervals (CIs). Results: A total of 454 HR+ patients (234 arm B, 220 arm C), including 69 N0 and 385 N1 patients, were analyzed (median age was 47 y, 85% N1, 55% T2, 63% G3). BCIN+ scores were available for 378 of the 385 N1 patients due to missing tumor grade for 7 patients. The median follow-up was 12.7 years. In the overall cohort, BCI/BCIN+ stratified 51 (11%), 24 (5%) and 372 (83%) patients as low-, intermediate- and high-risk with 10-y DRFI rates of 96% (95% CI: 84-99%), 100% (100-100%) and 89% (86-92%), respectively. Since the low and intermediate risk groups had few patients and a similar risk of 10-y DRFI, they are combined into a single low-risk group hereafter. Thus, for overall 10-y DR, 75 (17%) and 372 (83%) of patients were classified by BCI/BCIN+ as low and high risk with 10-y DRFI rates of 97% (95% CI: 89-99%) and 89% (95% CI: 86-92%), respectively (HR=4.50, 95% CI: 1.09-18.61; p = 0.038). BCI/BCIN+ remained statistically significant in the multivariable analysis, adjusting for age, treatment, and nodal status (HR=7.54, 95% CI: 1.34-42.64; p = 0.022). For 69 N0 patients, BCI stratified 54 (78%) and 15 (22%) patients as low and high risk with 10-y DRFI rates of 100% (95% CI, 100-100%) and 77% (95% CI, 44-92%), respectively (p = 0.012). For 378 N1 patients, BCIN+ stratified 21 (6%) and 357 (94%) of patients as low and high risk with 10-y DRFI of 90% (95% CI, 66-97%) and 90% (95% CI, 86-93%), respectively (p = 0.07). Of the 21 patients classified as BCIN+ low-risk, two had BCIN+ scores of 6.75 and 6.73 in close proximity to the cut point (6.93) and experienced DR after 5 years, resulting in the same 10-y DRFI for both BCIN+ low- and high-risk patients. Conclusions: BCI is significantly prognostic for the risk of overall DR (0-10 y) in patients with HR+ HER2+ disease treated with adjuvant trastuzumab-based chemotherapy. Optimization of BCI cut points may further improve prognostic performance in HR+ HER2+. Additional validation in other HR+ HER2+ cohorts treated in the modern setting with anti-HER2-based therapy is warranted, given the small sample size of N0 patients and relatively low DR rate in the late recurrence cohort. In summary, these results provide further evidence of BCI’s utility to support clinical decision-making for adjuvant endocrine therapies for HR+ HER2+ BC. Support: U10CA180821, U10CA180882, U24CA196171, Genentech; Clinicaltrials.gov Id: NCT00005970; https://acknowledgments.alliancefound.org. Citation Format: S. Chumsri, E. Liu, K. Edwards, Y. Wen, Y. Zhang, A. K. Anderson, A. H. Partridge, L. Carey, K. Ballman, E. Perez, K. Treuner, M. Goetz, E. Thompson. Prognostic performance of Breast Cancer Index in patients with early-stage HR+ HER2+ breast cancer (BC) treated with adjuvant trastuzumab: NCCTG N9831 (Alliance) [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 PS3-08-08.