Ma, Yaohua

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%)

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.