Citations

3109 Background: Poly(ADP-ribose) glycohydrolase (PARG) is an enzyme that catalyzes the removal of poly-ADP-ribose (PAR) chains from proteins during DNA damage repair. PARG inhibition leads to selective cell death in tumors with underlying replication fork defects, including BRCAm tumors, through a mechanism distinct from PARP inhibition. ETX-19477 is an oral, potent, and selective PARG inhibitor that shows robust preclinical activity in mouse models of ovarian, breast, and gastric cancers. Methods: ERADIC8 is an open-label, multicenter, Phase 1/2 study, consisting of two parts, dose escalation and dose expansion. A Bayesian Optimal Interval Design was used to enroll patients (pts) into dose escalation cohorts, with enrichment for pts with BRCAm high grade serous ovarian (HGSOC) and breast cancers. The primary objective is to assess safety/tolerability of ETX-19477 and define the maximum tolerated dose (MTD) and recommended Phase 2 dose(s). Secondary and exploratory objectives include pharmacokinetics, pharmacodynamics, and preliminary anti-tumor activity per RECIST v1.1. ETX-19477 is given orally once or twice daily in 21-day cycles. Results: As of Jan 6 2026, 45 pts were enrolled into the study across 11 dose levels (range: 80-750 mg QD, 190-350 mg BID). Tumor types included ovarian (n=24, BRCAm: 18), breast (n=8, BRCAm: 7), endometrial (n=6, BRCAm: 0), colorectal (CRC, n=3, BRCAm: 1), and other (n=4, BRCAm: 0) cancers. Treatment-related AEs (TRAEs; any grade) occurring in >20% of pts were nausea (53%), vomiting (38%), and fatigue (24%). The only Gr3 TRAE occurring in >5% of pts was neutropenia (16%). There was one Gr4 TRAE of neutropenia in 1 pt (2%) and no Gr5 TRAEs. ETX-19477 exposure is dose proportional, and the BID regimen achieves >85% PARG inhibition throughout the dosing interval in a blood-based PAR accumulation pharmacodynamic assay. As of the data cutoff, dose escalation is ongoing at 350 mg BID (MTD has not been defined) and dose expansion is ongoing at 200-300 mg BID. Among BRCAm, HGSOC pts enrolled at BID dose levels, there were 7 evaluable pts with a median of 4 prior lines of therapy (range 2–11): 2 pts achieved a partial response (PR, 29%) and 3 pts achieved stable disease (SD, 43%). Both pts with PRs were platinum-resistant and received prior PARP inhibitor treatment. 1 pt with BRCAm CRC remains on active therapy (250 mg BID) with SD for 7 months. Conclusions: ETX-19477 was well tolerated and showed anti-tumor activity in heavily pretreated pts with BRCAm, platinum-resistant HGSOC during dose escalation. These findings provide the first clinical proof-of-concept of PARG inhibition in HGSOC. ETX-19477 is being further evaluated in the dose expansion phase of the study. Clinical trial information: NCT06395519 .

2646 Background: Immune checkpoint inhibitors (ICIs) have transformed the management of many advanced cancers but identifying patients who are likely or unlikely to benefit from ICI treatment remains a critical challenge. Biomarkers, such as PD-L1, mismatch repair deficiency, and tumor mutational burden, capture only static, unidimensional features of the complex tumor microenvironment, and therefore inadequately predict response to immunotherapy in patients. In contrast, live tumor fragments (LTFs) preserve the full complexity of the tumor microenvironment and enable functional ex vivo assessments of ICI activity. Previous efforts have had limited clinical applicability because they required larger resection specimens often collected at a single academic center. Here, the predictive capability of an ex vivo platform using core needle and forceps biopsies from multiple clinical sites was assessed and compared to approved biomarkers. Methods: Patients with eligible solid tumors (where ICI has an indication, including renal, non-small cell lung, bladder, colorectal, and triple-negative breast cancer, and others) were enrolled in ongoing, prospective observational trials (NCT05478538, NCT05520099, NCT06349642). Biopsies were cut into LTFs, encapsulated in hydrogel, and treated sequentially with IgG antibody followed by ICI (αPD-[L]1 with or without αCTLA-4). Cytokine production was assessed by a multiplexed bead-based immunoassay at multiple time points during ex vivo treatment. Using receiver operating characteristic and precision recall analyses, we identified 9 predictive cytokines (including IFN-γ, granzyme B, and CXCL9/10), which were used to develop the Elephas score (ELP-score) to assess cytokine response to ex vivo ICI treatment. Results: Of 167 eligible patient specimens, 85% (n = 142) passed quality control metrics and 130 were used for model development. Hierarchical clustering of cytokine production revealed that 27% (n = 35) of patient specimens exhibited a cytokine response to ICI. In a validation set of 20 tumors, collected from patients who were subsequently treated with ICI, ELP-score positivity correctly identified 9 of 11 patients (82%) who had an objective response (PR/CR) to ICI, including 2 patients who were negative for FDA-approved standard-of-care ICI biomarkers. Furthermore, 5 of 5 patients (100%) with clinical progressive disease were correctly characterized as ELP-score negative. Conclusions: Using routine biopsy specimens, the ex vivo live tumor platform accurately identifies patients with clinical response to ICI therapy, including those incorrectly identified by conventional biomarkers. Ongoing efforts will test these findings in an additional validation set. If confirmed, the ex vivo LTF platform could enable the identification of patients likely to benefit from ICI therapy. Clinical trial information: NCT05478538 , NCT05520099 , NCT06349642 .

12122 Background: Aromatase Inhibitors (AI) have become the standard of care to reduce breast cancer recurrence in hormone receptor-positive (HR+) breast cancer patients. AIs have been shown to be effective in reducing the risk of breast cancer recurrence by 47%. However, up to 52% of patients prematurely discontinue their use due to AI-associated musculoskeletal pain symptoms called Aromatase Inhibitor-associated musculoskeletal pain syndrome (AIMSS). No effective treatment exists to treat AIMSS. The present study examined the effectiveness of a multicomponent pain treatment program in reducing symptoms of AIMSS with the goal of improving adherence to AI medication. Methods: This trial enrolled breast cancer survivors with AIMSS in an intensive multicomponent pain treatment program. Pain, impact on functioning, fatigue, and mood were assessed with the Brief Pain Inventory, Center for Epidemiologic Studies of Depression- Revised Questionnaire, Pain Catastrophizing Scale, Symptom Impact Questionnaire Revised, and Fatigue Questionnaire at baseline, 3-month, 6-month, 9-month, and 12-month intervals. Adherence to AI medication was obtained from patients’ self-reports. The treatment program consisted of a two-day structured intervention focused on Cognitive-Behavioral skills to address strategies to improve pain control, fatigue, sleep disturbance, and stress while educating patients on the efficacy of Aromatase Inhibitors in prolonging cancer-free survival. Results: A total of 73 patients were enrolled, with a median age of 63 years (range 31-79). Participants were primarily white, married, and highly educated. The measures showed elevated levels of pain, fatigue, and psychological distress at baseline with decrements in self-reported levels of functioning. Significant improvements across all measures were observed at the 3-month follow-up after participation in the multicomponent pain treatment program. Significant improvements in painrelated outcomes were observed at 3 months (WPI Δ −1.6; SS Δ −4.0; both p < 0.001), with sustained reductions in symptom severity through 6-month, 9-month, and 12-month follow-up. Self-report of AI medication adherence at one year showed that 77.9% of patients were still taking their prescribed medication. Conclusions: Patients with AIMSS experienced substantial emotional distress, pain, fatigue, and functional impairment at baseline. Following the intervention, significant improvements were observed across pain, physical functioning, fatigue, and psychological distress, with benefits sustained at one year. Importantly, the intervention was associated with high long-term adherence at one-year follow-up, highlighting its potential to improve both quality of life and treatment persistence.

1024 Background: Invasive lobular carcinoma (ILC) is a distinct breast cancer (BC) subtype with dissemination patterns differing from invasive breast carcinoma of no special type (IBC-NST). While genomic differences between ILC and IBC-NST have been described, the extent to which molecular and immune profiles vary by metastatic organ and histology is poorly characterized. Methods: We conducted a retrospective analysis to evaluate organ- and histology-specific molecular features of metastatic BC (mBC). Patients with metastatic IBC-NST or pure ILC underwent NGS (592, NextSeq; WES/WTS, NovaSeq; Caris Life Sciences). Tumor mutational burden (high ≥10 mut/Mb), PD-L1 expression (22C3), and immune cell fractions (RNAseq deconvolution, quanTIseq) were assessed. Analyses were restricted to sites with ≥10 biopsies per histology. Comparisons used chi-square or Mann–Whitney U tests with multiple testing correction (q < 0.05). Results: A total of 2645 mBC biopsies (605 ILC; 2040 IBC-NST) were analyzed (Table). In ILC, ERBB2 mut frequency differed by metastatic site (q<0.01), with higher prevalence in liver (32.7%) and lower in gastrointestinal (GI) lesions (3.7%). In IBC-NST, ESR1 and GATA3 mut and FGFR1 amplification were enriched in liver metastases, whereas PD-L1 expression was highest in skin (20.7%) and lowest in liver (5.0%). No organ-specific differences were observed for PIK3CA, AKT, PTEN, BRCA1/2 or RB1 . Across metastatic sites, both ILC and IBC-NST showed differences in B cells, macrophages (M1/M2), neutrophils, NK cells, dendritic cells, CD8+ T cells, and Tregs (all q < 0.05); CD4+ T-cell differences were observed only in IBC-NST (q = 0.002). In organ-specific ILC vs IBC-NST comparisons, CDH1 mut were more frequent in ILC across sites, along with higher PIK3CA mut in skin (ILC 51.3% vs IBC-NST 34.4%) and higher ERBB2 mut in liver (32.7% vs 3.3%), whereas a higher TP53 mut frequency was observed in IBC-NST in skin (28.5% vs 52.3%) and lymph nodes (LND) (23.5% vs 55.5%) (all q < 0.01). Conclusions: mBC exhibits marked organ-specific molecular and immune heterogeneity that differs by histology. These findings support histology- and site-aware interpretation of metastatic biopsies and may inform biomarker assessment and treatment decisions in advanced disease. BC-NST ILC Skin LND Bone Breast Liver Perit. CNS q-value Skin LND Bone Breast GI Liver GYN Perit. CNS q-value N (specimens) 785 401 109 361 220 15 44 - 172 84 62 56 56 54 43 37 11 - ERBB2 mut (%) 3.2 3.1 3.2 2.3 3.3 7.1 2.5 1.0 7.1 7.4 16.4 15.4 3.7 32.7 2.4 5.7 11.1 <0.01 ESR1 mut (%) 9.4 5.2 8.3 16.0 28.2 7.1 2.4 0.0 7.8 7.2 8.9 9.8 16.7 26.0 4.9 20.0 0.0 0.9 FGFR1 amp (%) 10.1 6.6 5.6 12.8 16.5 0.0 9.7 0.02 4.4 3.4 6.7 6.1 2.4 5.6 7.7 18.5 0.0 1.0 IHC-PD-L1 (%) 20.7 - 5.3 16.0 5.0 11.1 10.3 0.02 8.9 - 5.0 5.7 6.1 0.0 0.0 0.0 14.3 1.0 TMB-High (%) 10.7 10.1 8.8 8.8 8.5 14.3 21.4 0.8 27.6 11.0 19.6 28.0 11.3 19.6 9.8 32.4 22.2 0.8 Perit: peritoneum; CNS: central nervous system; GYN: genital tract.

Abstract Background: Patients with residual invasive disease after neoadjuvant chemotherapy (NAC) for HER2-positive breast cancer remain at high risk for recurrence even with standard adjuvant trastuzumab emtansine (T-DM1). H2NVAC, a multi-epitope HER2 peptide vaccine, has previously demonstrated the ability to elicit robust and durable immune responses. Here, we assessed the safety and early immunogenicity of H2NVAC in combination with T-DM1 in this high-risk population. Methods: Patients with stage II-III HER2-positive breast cancer and residual invasive disease following NAC and HER2-directed therapy received standard adjuvant T-DM1 alongside six priming doses of H2NVAC administered every 3 weeks. The primary endpoint was the occurrence of dose-limiting toxicity (DLT) within 21 days of the first vaccination, with adverse events graded per CTCAE v5.0. Immunogenicity assessments included HER2-specific T-cell responses measured by IFNγ ELISpot and HER-specific serum antibodies measured by ELISA at baseline and 30 days after the sixth priming dose. Results: 20 patients were enrolled. H2NVAC plus T-DM1 was well tolerated with no DLTs observed. All treatment-emergent AEs were grade 1-2, with fatigue (grade 1 60%, grade 2 5%), peripheral sensory neuropathy (grade 1 35%, grade 2 10%), elevated alkaline phosphatase (grade 1 40%), nausea (grade 1 35%, grade 2 5%), arthralgia (grade 1 30%), and injection-site reactions (grade 1 50%) being most common. Robust vaccine-specific T-cell responses by ELISpot were observed in 94% of evaluable patients, who mounted HER2-specific T-cell responses at 30 days after the sixth priming dose, with a mean 197-fold increase over baseline. Further CYTOF analysis showed a significant decrease in exhausted T-cell phenotypes, with reduced LAG3 and TIM3 expression on both CD4+ and CD8+ T cells. For antibody responses by ELISA, 26% of patients developed HER2 protein-specific antibody responses at this time point. There was no significant increase in antibodies to H2NVAC peptides or to unrelated tumor antigens (p53, IGFBP2, TERT, myoglobin) at 30 days after the sixth vaccine. Ongoing correlative analyses will assess the evolution of immune responses at later time points following completion of T-DM1 therapy. Conclusions: Concurrent administration of H2NVAC with T-DM1 was safe and did not increase toxicity beyond single-agent T-DM1. To our knowledge, this is the first study to demonstrate that a cancer vaccine can be delivered concurrently with an antibody-drug conjugate without increasing adverse effects while still eliciting robust T-cell responses. Ongoing analyses will further define the kinetics and durability of vaccine-induced antibody and T-cell responses at later time points, as well as evaluate the efficacy of H2NVAC in reducing recurrence risk in the randomized phase 2 trial. Citation Format: Saranya Chumsri, Sharmila Giri, Andy J. Ness, David W. Hillman, Nadine Norton, Davitte Cogen, Brian M. Necela, Aziza Nassar, Donald W. Northfelt, Pooja Advani, Rohit Rao, Alvaro Mareno-Aspitia, Brenda Ernst, Kathryn J. Ruddy, Matthew P. Goetz, Keith L. Knutson. Safety, tolerability, and early immune responses in the safety run-in of an HER2 multi-epitope vaccine combined with T-DM1 in residual HER2-positive 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 6715.

Abstract Annual breast cancer screening is a critical piece of women’s health. While mammography remains the gold standard, increased breast density leads to decreased sensitivity, underscoring the need for more sensitive and accessible screening methods. Liquid-based biopsies for early breast cancer detection are emerging but currently remain out of reach for clinical use. Recent data on nucleotide assessment from plasma in breast cancer have been mixed with 87% sensitivity for late-stage disease (stage 3-4) but only 20% sensitivity for early-stage disease (stage 0-2). Proteomics is an exciting area for early cancer screening where improvements in sample preparation and equipment have enabled major advances in early cancer detection. This is particularly true for a deep proteome assay as proteins can be identified which are 8-9 orders of magnitude less abundant than the most common plasma proteins. This study evaluates the presence of breast cancer using label-free shotgun mass spectrometry-based proteomics on less than 1 ml of plasma from 1,259 women classified as either healthy or newly diagnosed treatment naïve breast cancer patients with a focus on early-stage disease. We trained using a cohort of 845 women, comprising of 466 healthy and 379 with breast cancer and validated on 397 women (195 healthy and 202 breast cancer) using a protein-based machine learning classifier to distinguish these groups. All plasma samples were processed in a blinded manner coupled with semi-quantitative, label-free mass spectrometry (MS)-based analysis. The median number of proteins detected per patient across breast cancer and healthy individuals was 7,064 and 7,054, respectively. The validation performance achieved 92.3% specificity for healthy controls and an overall sensitivity of 92.6% with an AUC of 0.975 (95% CI: 0.961-0.987) for breast cancer patients. Sensitivity broken down by clinical stage (0-IV), molecular subtypes (HR+/HER2+, HR-/HER2+, HR+/HER2-, and HR-/HER2-) and pathological subtypes (LCIS, DCIS, ILC, and IDC) were ≥85% and indistinguishable across all stages and subtypes. Gene set enrichment analyses (GSEA) identified pathways including epithelial-to-mesenchymal transition (EMT) and PI3K-AKT signaling as enriched in the breast cancer samples, highlighting that our test can identify cancer-related proteins in early-stage patients. Overall, we have developed a highly sensitive blood-based assay that utilizes deep proteomic profiling to identify distinctive cancer specific signatures in women who are undergoing screening for breast cancer. This work enables us to develop a protein-based classifier from plasma for early detection of breast cancer and enhances screening strategies for women with dense breasts who are at average or high-risk based on family history, specific genetic mutations such as BRCA1/2, race, or other factors. Citation Format: Alec Horrmann, Yash Travadi, Jacob Carey, Kevin Mallery, Ella Boytim, Grant Schaap, Carissa Rungkittikhun, Kaylee Kamalanathan, Nathaniel R. Bristow, Catalina Galeano-Garces, Adam Groth, Alexa R. Hesch, Pooja Advani, Justin Hwang, Badrinath R. Konety, Justin M. Drake. Deep plasma proteomics for early-stage breast cancer detection [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 4073.

Abstract Background: Accurate staging is essential for treatment selection, prognosis assessment, and trial eligibility. While prior studies attempted automating pathological (p) staging, few address clinical (c) staging and no studies have compared LLM-derived staging with clinician staging during clinical visit and retrospective cancer registry staging. Methods: We developed a multi-agent framework using Gemini-2.0-Flash-001 and GPT-5 to (1) identify reports (2) extract key data, and (3) apply AJCC 8th edition staging criteria. LLM staging was compared with clinician documentation and registry staging in breast cancer patients. Clinician-registry agreement served as the reference standard. Two independent breast oncologists reviewed discordant cases. Results: We analyzed 122 randomly selected breast cancer patients across all three Mayo Clinic sites from 2018 - 2023. LLM performance matched or exceeded human inter-rater agreement for pathological staging (95-99.2% vs. 95-98.4%). Clinical staging was more challenging, with LLM concordance of 73-77.9% for cT and 87-89.3% for cN versus 87.8% and 91.0% clinician-registry agreement. Among 89 patients with clinician-registry concordance, LLM concordance was 98.9% for pT/pN, 79.8% for cT, and 91.0% for cN. Experts favored LLM staging in 27.8% (5/18) of cT and 25.0% (2/8) of cN discordances. Error analysis revealed LLM challenges in handling non-mass enhancements (6 cases), selecting radiologic measurements (2 cases), identifying discrete masses (2 cases), and miscellaneous (3 cases). Conclusion: LLMs achieved human-level performance for pathological staging (98%), supporting human-in-the-loop deployment. For clinical staging (79.8% cT, 91.0% cN), future work must enhance multimodal reasoning and integrate physical examination data. Prospective validation is needed to assess real-world impact. With targeted refinements and oversight, automated staging can transform registry workflows while augmenting clinical decision-making. Citation Format: Arshad Mohammed, Umair Ayub, Pooja Advani, Shakeela W. Bahadur, Amye J. Tevaarwerk, Tufia C. Haddad, Elisabeth I. Heath, Brenda J. Ernst, Ben Zhou, Cui Tao, Sara J. Holton, Karthik V. Giridhar, Irbaz B. Riaz. Automating clinical and pathological staging for breast cancer patients [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 2744.

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 &gt; 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 &gt; 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 &gt;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&gt; 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&gt;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 Introduction: An Our Practice Advisory (OPA), formerly known as Best Practice Advisory (BPA), is an electronic health record (EHR) tool. OPAs identify key parameters to alert providers of potential interventions that could enhance quality of care. Such functionality is increasingly relevant given the rapid pace of new drug approvals. Within the Mayo Clinic system, we previously identified that amongst Mayo Clinic patients (pts) meeting the MonarchE criteria, 28% of pts did not undergo a documented discussion with their provider regarding the role of adjuvant abemaciclib (Premji, SABCS 2024). Further, a Flatiron study identified that only 40% of eligible pts received abemaciclib (Sandoval, Miami Breast 2025). To address this practice gap, in 2024 we began to implement EHR clinical decision support by creating an OPA trigger for pts eligible for an adjuvant CDK 4/6 inhibitor (CDK 4/6i). Here we report on ‘action taken’ versus not for the OPA and the most common reasons for re-prompts. Methods: The Mayo Breast Disease Group designed an OPA including pts who are within 14 months of a clinical or pathologic diagnosis of high-risk early-stage breast cancer. We leveraged structured data captured in the Epic staging forms (Epic Systems) to identify pts with clinical or pathologic T-stage, N-stage, grade, ± Ki-67/ multigene signature to identify ER+/HER2- pts eligible for adjuvant ribociclib or abemaciclib based on FDA approvals. The OPA was triggered by a patient encounter in oncology when endocrine therapy (but not CDK4/6i) was on the active medication list resulting in a hard stop. The OPA gathered limited details about whether adjuvant CDK4/6 inhibitors were discussed and whether the provider followed a link that resulted in prescribing one—considered an indicator of action taken. In this IRB-exempt quality improvement project, we describe the responses captured in the OPA trigger utilizing Epic tools. Results: The OPA went live on 1/10/2025. Over a 5-month period post OPA initiation, we identified 517 OPA alerts among 332 unique pts. Their median age was 62.5 years, and the majority were female (97%). The median time to resolve the OPA was 17.5 seconds (range 2-567 seconds). 12.6% (65/517) of the time there was ‘action taken’ by selecting the hyperlink to potentially start a treatment plan. Providers selected the following OPA pre-set responses: ‘re-prompt in one month’ 248 (48%), ‘patient not a candidate for therapy’ 48 (9%), ‘patient declines’ 69 (13%), ‘outside oncologist will prescribe’ 36 (7%), ‘not discussed’ 44 (9%), and unknown 72 (14%). The most common free text comments among the 517 OPA alerts (summarized) included: ‘revisit in future’ 108 (21%), ‘too early’ 65 (13%), ‘patient declines’ 66 (13%), ‘outside oncologist will start’ 31 (6%), ‘not a candidate’ 26 (5%), and ‘co-morbidities’ 18 (3%). Erroneous OPA prompting occurred in 14 (3%) who previously failed a CDK4/6i due to toxicity and in 18 (3%) for pts currently on a CDK4/6i. 30 (6%) OPA comments noted that they discussed or started therapy that day. Conclusion: The OPA offered clinical decision support and ensured that clinicians considered prescribing CDK 4/6i in all pts identified as eligible, and captured deferrals. Refinements are needed to ensure appropriate timing of OPA and minimize erroneous firing. The OPA remains active and captures the reason for deferral of adjuvant CDK 4/6i prescription. This data pairs real world decision making to better understand clinically meaningful application of improved invasive disease-free survival (iDFS). Citation Format: S. Premji, P. Advani, S. Chumsri, L. Mina, J. Taraba, J. Carroll, J. Hoppenworth, E. Cathcart-Rake, T. Haddad, B. Rudder, G. Choong, D. Idossa, C. O’Sullivan, S. Yadav, K. Ruddy, P. Peethambaram, T. Hobday, M. Goetz, R. Rao, B. Ernst, F. Batalini, R. Leon-Ferre, A. Tevaarwerk, K. Giridhar. Implementing an Our Practice Advisory (OPA) to provide clinical decision support for adjuvant CDK4/6 inhibitors in early-stage hormone receptor positive breast cancer: The Mayo Clinic Experience [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 PS5-11-10.

Abstract Background: Aurora kinase A (AURKA) plays an integral role in the mitotic cell cycle, regulating spindle assembly, centrosome function, chromosome alignment, and mitotic entry. In addition to its mitotic role, activated AURKA has been shown to induce epithelial-mesenchymal transition reprogramming and contribute to endocrine resistance in ER+ breast cancer (BC) models. Amplification/overexpression of AURKA is linked to poor prognosis across multiple tumor types, including ER+/HER2- BC. Alisertib is a selective, reversible, ATP-competitive AURKA inhibitor that has been shown to disrupt spindle formation, leading to mitotic defects and cell death. In xenografts, the potent inhibition of AURKA by alisertib led to antitumor activity across a variety of tumor types. Preliminary clinical data with alisertib have shown significant antitumor activity and a manageable safety profile in patients with various cancers, including ER+/HER2- BC. This study aims to better characterize the role of alisertib in patients with BC to provide a rationale for future clinical studies. Methods: Three studies evaluating alisertib in patients with ER+/HER2- MBC have been completed, including a phase I study of alisertib + fulvestrant (Haddad 2018), a phase II alisertib monotherapy study (Melichar 2015), and a phase II study of alisertib ± fulvestrant (TBCRC 041; Haddad 2023). Descriptive summary statistics were utilized for patient characteristics, as well as clinical safety and efficacy data. Results: A total of 126 patients were enrolled and evaluable in the 3 clinical studies, as per Table 1. All patients had MBC and received prior endocrine therapy and chemotherapy. All patients in TBCRC 041 also received a prior CDK4/6 inhibitor (CDK 4/6i). In these heavily pretreated patients, tumor objective response rates (ORR) were ∼20%, and 6-month clinical benefit rates (CBRs) were 29-78%. The most common grade 3/4 adverse events (AEs) across studies were hematologic AEs (neutropenia, leukopenia, and anemia), and fatigue. In TBCRC 041, ctDNA- and tumor-derived RNA-Seq-based biomarker assessments are ongoing to investigate associations with clinical benefit from alisertib alone or combined with fulvestrant. Conclusions: Alisertib has shown efficacy and safety across multiple clinical studies in patients with ER+/HER2- MBC and could provide a novel option for treating those who have progressed on endocrine therapy and a CDK 4/6i. These findings provide a strong rationale for further development of alisertib in this patient population. The ongoing phase II ALISCA-Breast1 study (NCT06369285) is investigating the optimal dose of alisertib in combination with standard endocrine therapies in this setting. Citation Format: T. C. Haddad, K. McCann, P. Advani. The Aurora Kinase A Inhibitor Alisertib Alone or in Combination with Endocrine Therapy for Patients with Estrogen Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative (ER+/HER2-) Metastatic Breast Cancer (MBC) [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 PS1-10-03.