Tahir, Haris Bin

e20139 Background: Extensive-stage small cell lung cancer (ES-SCLC) frequently presents with brain metastases, affecting approximately 20% of the patients at diagnosis. The prognostic impact of baseline brain metastases on survival outcomes in patients treated with contemporary chemo-immunotherapy remains unclear, creating uncertainty in first-line treatment selection for this high-risk population. We conducted a systematic review and meta-analysis to evaluate the impact of baseline brain metastases on treatment outcomes in ES-SCLC. Methods: This PRISMA-compliant systematic review and meta-analysis was prospectively registered in PROSPERO. PubMed, Embase, Cochrane CENTRAL, and ClinicalTrials.gov were systematically searched from database inception through January 2026 to identify randomized controlled trials evaluating PD-1/PD-L1-based chemo-immunotherapy versus platinum-etoposide chemotherapy in adults with ES-SCLC. Two reviewers independently screened studies and extracted data, with discrepancies resolved by consensus. Hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS) were pooled separately for patients with baseline brain metastases (BM+) and without brain metastases (BM−) using random-effects models with Hartung–Knapp adjustment. Analyses were performed using R. Prespecified subgroup analyses were conducted based on follow-up duration and immunotherapy regimen. Results: Twelve randomized controlled trials were included. Among patients with baseline brain metastases (BM+), pooled OS from seven studies did not show a significant survival benefit (HR 0.84, 95% CI 0.66–1.08, I² = 0.0%, P = 0.145), nor did pooled PFS from five studies (HR 1.03, 95% CI 0.60–1.79, I² = 0.0%). Subgroup analyses revealed no significant heterogeneity. In contrast, among patients without baseline brain metastases (BM−), pooled OS from nine studies demonstrated a significant survival benefit (HR 0.72, 95% CI 0.69–0.76, I² = 0.0%, P < 0.001), with corresponding improvement in PFS (HR 0.70, 95% CI 0.60–0.82, I² = 0.0%). These findings indicate a differential treatment effect according to baseline brain metastasis status. Conclusions: First-line chemo-immunotherapy does not apprear to confer a significant survival benefit in ES-SCLC patients with baseline brain metastases, reflecting a differential treatment effect by brain metastasis status. These findings suggest that baseline brain metastases should be considered in treatment selection and future clinical trial design and highlight the need for optimized systemic strategies for this high-risk population.

e16502 Background: Accurate postoperative risk stratification in localized clear-cell renal cell carcinoma (ccRCC) informs prognosis, surveillance intensity, and eligibility for adjuvant systemic therapy. Although validated prognostic models (Leibovich 2018, SSIGN, and UISS) exist, they are inconsistently applied in routine practice due to workflow and documentation barriers. Using AI assisted tools within the electronic medical record (EMR) may enable rapid, standardized risk assessment and improve clinical use. Methods: We retrospectively analyzed 92 patients with localized ccRCC undergoing radical nephrectomy and postoperative oncology evaluation (December 2021–September 2025) across three Mayo Clinic sites. Pathology reports and oncology notes were extracted via structured SQL queries. Clinical and pathologic variables were parsed using a zero-shot GPT-4o pipeline. Gold-standard prognostic risk classification and adjuvant therapy eligibility were established by an expert oncology clinician using validated prognostic calculators and KEYNOTE-564 eligibility criteria. AI-generated outputs and novice manual abstraction by two first-year fellows were compared against expert assessment using accuracy, precision, recall, and F1 score. Leibovich and SSIGN were evaluated as three-class models (low/intermediate/high), and UISS as binary risk stratification (high vs non-high). Results: Among 92 patients with localized ccRCC (median age 64 years [range 41–78]), AI-generated outputs demonstrated near-perfect agreement with expert assessment for KEYNOTE-564 adjuvant immunotherapy eligibility (accuracy 97%, precision 100%, recall 97%, F1 score 98%). For three-class prognostic stratification, AI achieved perfect agreement for Leibovich disease-free survival risk (accuracy, precision, recall, and F1 all 100%), outperforming novice abstraction. For SSIGN, AI demonstrated strong multi-class performance (accuracy 91%, precision 91%, recall 93%, F1 score 92%), compared with novice abstraction (accuracy 92%, F1 score 90%). For binary UISS risk stratification, AI achieved 81% accuracy, precision 74%, recall 100%, and F1 score 85% showing a tendency towards false positives. Conclusions: This study demonstrates AI can use existing prognostic and systemic therapy eligibility to accurately risk stratify and identify patients eligible for adjuvant systemic immunotherapy post nephrectomy. For our next steps, we plan to develop a multimodal AI platform integrating pathologic, radiologic, and clinical data to improve prognostication for outcomes and predictive capabilities for patients who would benefit from adjuvant systemic therapy for more personalized medicine.

e13121 Background: Triple-negative breast cancer (TNBC) lacks reliable prognostic biomarkers beyond standard clinical staging, limiting individualized risk stratification and treatment planning. The neutrophil-to-lymphocyte ratio (NLR), a readily available marker of systemic inflammation, has been proposed as a prognostic indicator in TNBC; however, existing evidence remains inconsistent. We performed an updated systematic review and meta-analysis to evaluate the prognostic value of pretreatment NLR in the contemporary treatment era. Methods: PubMed, Embase, Cochrane CENTRAL, and ClinicalTrials.gov were systematically searched from database inception through January 1, 2026, for randomized and observational studies reporting associations between pretreatment NLR and survival outcomes in TNBC. Two reviewers independently screened studies and extracted data with discrepancies resolved by consensus. Outcomes included overall survival (OS), disease-free survival (DFS), and progression-free survival (PFS). Hazard ratios (HRs) were pooled using random-effects models. Risk of bias was assessed using ROBINS-I tool. Prespecified subgroup and sensitivity analyses were performed based on NLR cut-off values, follow-up duration, geographic region, and risk of bias. Results: Twenty-three retrospective studies comprising 4,731 patients with TNBC were included. On multivariate analysis, elevated pretreatment NLR was independently associated with poorer OS (HR 2.21, 95% CI: 1.56–3.13) and DFS (HR 1.97, 95% CI: 1.65–2.37. Similar associations were observed on univariate analysis (OS: HR 1.70, 95% CI: 1.07–2.72; DFS: HR 1.84, 95% CI: 1.14–2.98). No statistically significant or consistent association was observed between NLR and PFS. Associations between high NLR and adverse OS and DFS remained robust across prespecified subgroup and sensitivity analyses, representing the largest contemporary synthesis of multivariable-adjusted outcomes in TNBC. Key pooled outcome associations are summarized in Table 1. Conclusions: Elevated pretreatment NLR is independently associated with worse OS and DFS in patients with TNBC, supporting its potential role as a low-cost tool for clinical risk stratification and treatment planning. Given its availability from routine blood tests, NLR may assist in identifying high-risk patients who could benefit from intensified surveillance or therapeutic strategies. Prospective validation in the modern chemo-immunotherapy era is warranted. Summary of pooled associations between pretreatment NLR and survival outcomes in TNBC. Outcome Studies (n) Interpretation Overall survival 14 Worse survival Disease-free survival 15 Worse survival Progression-free survival 3 Inconclusive

145 Background: Multiple trials have demonstrated addition of androgen-receptor pathway inhibitors (ARPIs) improve survival in patients with metastatic prostate cancer but there is a need to quantify cardiovascular toxicity. Understanding the nature and extent of ARPI-associated cardiovascular adverse events across disease states and toxicity grades is critical to inform treatment decisions and long-term patient safety. Methods: MEDLINE, and EMBASE were systematically searched from database inception through August 30, 2025, for phase III randomized controlled trials evaluating abiraterone, enzalutamide, apalutamide, darolutamide, orteronel in metastatic prostate cancer. Trials were included if they reported CVS toxicity. Meta-analysis using a random-effects model was performed to assess the difference of all-cause and treatment-emergent cardiovascular adverse events between ARPI+ADT and ADT alone. Summary effects were expressed as relative risk (RR) with associated 95% confidence intervals. Results: A total of 21 trials (45 references) with 25,576 patients (mCSPC: 12,537, mCRPC: 13,039) were included in this meta-analysis. Compared to ADT alone, ARPI+ADT significantly increased the risk of all cause, all grade hypertension in both mCSPC (RR 1.60, 1.22–2.10) and mCRPC (RR 1.61, 1.20–2.16) as well as grade ≥ 3 hypertension (RR 1.71, 1.17–2.48) in mCRPC setting. There was an increased risk of all-cause, all grade acute coronary syndrome (RR 2.21, 1.09–4.49) and AV nodal disease (RR 2.53, 1.18–5.43) with ARPI+ADT compared to ADT alone in mCSPC setting. There was increased risk of all cause, all grade, any cardiac events (RR 1.30, 1.10–1.54) as well as grade ≥ 3 any cardiac events (RR 1.70, 1.20–2.42) in mCRPC setting. Risk of all cause, all grade hot flashes (RR 1.47, 1.16–1.85) was also significantly increased with ARPI+ADT when compared to ADT alone. In terms of treatment-emergent adverse effects, a significant increase was observed only for pulmonary embolism with ARPI+ADT when compared to ADT alone (RR 1.66, 1.06–2.60) in mCRPC setting. Conclusions: Current evidence indicates potentially increased risk of hypertension, venous thromboembolic, and ischemic cardiac events with ARPI therapy in metastatic prostate cancer. Proactive CV risk assessment, particularly in patients with preexisting comorbidities or prolonged ARPI exposure, may optimize outcomes and minimize treatment interruptions. All cause adverse events. Adverse Event Disease State All Grade Grade ≥3 Any Cardiac Event mCSPC 0.81 (0.37–1.76) 0.88 (0.16–4.64) mCRPC 1.30 (1.10–1.54) 1.70 (1.20–2.42) Hypertension mCSPC 1.60 (1.22–2.10) 1.43 (0.82–2.52) mCRPC 1.61 (1.20–2.16) 1.71 (1.17–2.48) ACS mCSPC 2.21 (1.09–4.49) 1.77 (0.86–3.61) mCRPC – – Hot Flashes mCSPC – – mCRPC 1.47 (1.16–1.85) 1.46 (0.21–9.97)

Abstract Background Valvular heart disease (VHD) and atrial fibrillation (AF) frequently coexist, presenting complex clinical challenges despite advances in diagnostics and therapeutics. Together, they contribute substantially to cardiovascular mortality. However, epidemiological patterns vary across demographics and regions Methods Mortality data from 1999–2023 were obtained from the CDC WONDER database. Deaths attributed to VHD (ICD-10: I30-I52) with co-diagnosed AF (ICD-10: I48) among adults ≥ 45 were included. Age-adjusted mortality rates (AAMRs) per 1,000,000 population were calculated. Autoregressive integrated moving average (ARIMA) models were used to project mortality trends through 2035. Results From 1999 to 2023, there were 172,511 VHD and Afib-related deaths in adults ≥ 45. AAMRs increased until 2021, followed by a slight decline to 8.86. The overall AAPC for VHD with AF was 4.01%. AAMR increase was consistent across all age groups, highest seen in 65 + individuals. Males had consistently higher AAMRs than females. AAPC for males was 4.44% and for females 3.52%. Non- Hispanic White had the highest AAMR (10.56 in 2021), followed by Hispanics (4.19). Regionally, the West had the highest AAMR (11.27), followed by Mid-West (9.94). Non-metropolitan areas had higher AAMR 8.96 compared to metropolitan areas (AAMR: 7.59). Most VHD related deaths were reported in inpatient settings (n = 396,451) and 12% involved co-diagnosed AF. Conclusion Mortality associated with VHD and AF in the U.S population aged ≥ 45 has shown a concerning increase. Predictive models indicate this trend may persist, highlighting the need for early detection, equitable healthcare access and public health interventions tailored to high-risk populations.