Jawed, Inshal

e23089 Background: Sodium–glucose cotransporter-2 (SGLT2) inhibitors are increasingly used for glycemic and cardiovascular benefits; however, concerns persist regarding genitourinary infections, particularly in vulnerable populations such as patients with cancer and diabetes. Real-world data evaluating the safety of SGLT2 inhibitors in this population remain limited. We evaluated the association between SGLT2 inhibitor use and genitourinary infection risk among cancer patients with type 2 diabetes. Methods: We conducted a retrospective cohort study using the TriNetX federated research network. Adult patients (≥18 years) with malignant neoplasms and type 2 diabetes mellitus were identified. Patients were stratified based on exposure to SGLT2 inhibitors and compared with cancer patients with diabetes not receiving SGLT2 inhibitors. Primary outcomes included urinary tract infection (UTI) and cystitis, identified using ICD-10 diagnostic codes. Analyses included unadjusted comparisons, 1:1 propensity score matching (PSM), and a Cox proportional hazards model as a sensitivity analysis to assess time to first UTI within one year following index exposure. Results: A total of 7,485 patients were included (7,137 without SGLT2 inhibitors and 348 with SGLT2 inhibitors). In unadjusted analyses, crude rates of UTI and cystitis were numerically higher in the SGLT2 inhibitor cohort. After 1:1 propensity score matching (312 patients per cohort), baseline characteristics were well balanced. The incidence of UTI was identical between matched cohorts (6.41% vs 6.41%, p = 1.00), with no significant differences observed for cystitis or acute cystitis. In a Cox proportional hazards sensitivity analysis, SGLT2 inhibitor use was associated with a significantly lower hazard of UTI compared with no SGLT2 inhibitor exposure (hazard ratio 0.68, 95% confidence interval 0.52–0.89; p = 0.0048). Conclusions: In this large real-world cohort of cancer patients with diabetes, SGLT2 inhibitor use was not associated with an increased risk of genitourinary infections. Propensity-matched analyses demonstrated no difference in absolute infection risk, while time-to-event analysis suggested a lower hazard of UTI among patients receiving SGLT2 inhibitors. These findings support the genitourinary safety of SGLT2 inhibitors in cancer patients with diabetes and may inform clinical decision-making in this high risk population.

e19562 Background: Multiple myeloma is a chronic blood cancer in which patients often live for many years, yet the risk of death remains ongoing. While survival has improved over time, population-level studies that combine traditional survival analysis, advanced modeling techniques, and future burden projections are limited. Methods: We performed a population-based retrospective study using the Surveillance, Epidemiology, and End Results (SEER) database. Overall survival was evaluated using Kaplan–Meier analysis and Cox proportional hazards regression. Parametric survival modeling was conducted using Weibull regression to better characterize long-term mortality patterns. Machine-learning survival analysis was performed using random survival forests to assess the relative importance of clinical and demographic factors. Annual case counts were analyzed and projected through 2035 using time-series forecasting methods. Results: The study included 8,627 patients with multiple myeloma. Overall survival declined gradually over long-term follow-up, with approximately one-quarter to one-third of patients surviving at extended time points. Female patients experienced better survival than males. Significant survival differences were observed across racial groups, with Asian or Pacific Islander patients demonstrating the most favorable outcomes and American Indian or Alaska Native patients the poorest. In multivariable analyses, age, sex, race, and year of diagnosis were independently associated with survival. Parametric modeling closely mirrored non-parametric survival estimates and supported a time-dependent pattern of mortality. Machine-learning analysis identified year of diagnosis as the strongest predictor of survival, followed by age and race. Forecasting suggested that the burden of multiple myeloma will remain substantial through 2035. Conclusions: Multiple myeloma is associated with long-term survival but persistent mortality risk and ongoing demographic disparities. Combining traditional survival analysis with parametric and machine-learning approaches provides a more complete understanding of outcomes and highlights the sustained future burden of this disease, with important implications for clinical care and healthcare planning.

e18542 Background: Outcomes in adult acute lymphocytic leukemia (ALL) remain heterogeneous and strongly influenced by age. However, population-level survival gradients across older age strata and the future burden of disease in an aging population remain incompletely characterized. We evaluated long-term survival patterns and projected disease burden in adult ALL using national registry data. Methods: We conducted a retrospective cohort study using the Surveillance, Epidemiology, and End Results (SEER) database including adults aged 50–89 years diagnosed with ALL between 2000 and 2022. Overall survival (OS) was estimated using Kaplan–Meier methods and compared across age and racial subgroups. Multivariable Cox proportional hazards regression was performed to identify independent predictors of mortality. Temporal trends in annual case counts were analyzed and projected through 2035 using time-series forecasting methods. Results: A total of 7,298 adult ALL patients were included. OS declined progressively with advancing age, demonstrating clear stepwise separation across age strata. Compared with patients aged 50–54 years, mortality risk increased incrementally across successive age groups, reaching more than fourfold higher risk among patients aged 85–89 years on multivariable analysis. Race-based survival differences were observed on unadjusted analysis; however, these differences were attenuated after adjustment for age and clinical factors. More recent year of diagnosis was independently associated with modest survival improvement, reflecting incremental therapeutic progress. Forecasting analysis projected a continued rise in adult ALL case burden through 2035, with widening uncertainty intervals over time, indicating sustained future healthcare impact. Conclusions: Adult ALL outcomes remain strongly age dependent, with sharply escalating mortality risk among older patients despite gradual therapeutic improvements. Projections indicate a sustained and growing disease burden in the United States. These findings highlight the urgent need for age-adapted treatment strategies, improved inclusion of older adults in clinical trials, and healthcare system preparedness to address the needs of an aging leukemia population.

e16598 Background: Brain metastases occur in a substantial proportion of patients with renal cell carcinoma (RCC) and are associated with poor prognosis. Stereotactic radiosurgery (SRS) is frequently used for intracranial disease control; however, contemporary real-world survival outcomes and the influence of systemic therapy exposure and metastatic burden remain incompletely characterized. Methods: We conducted a retrospective observational study using the TriNetX global federated health research network. Adult patients (≥18 years) with RCC and documented brain metastases who underwent stereotactic radiosurgery between January 2013 and December 2023 were identified. The index date was defined as the date of first SRS. Baseline demographics, comorbidities, and prior systemic therapy exposure including immune checkpoint inhibitors and VEGF-targeted therapies within 6 months before SRS were assessed. Metastatic burden was approximated using the number of distinct extracranial metastatic organ sites (single-organ vs multi-organ involvement). Overall survival (OS) was evaluated using Kaplan–Meier methods. Results: A total of 232 patients with RCC and brain metastases treated with SRS were included. Mean age was 61.2 ± 10.6 years, and 72% were male. Common comorbidities included hypertension (53%), diabetes mellitus (30%), chronic kidney disease (28%), and cerebrovascular disease (26%). Prior to SRS, 78% of patients received systemic therapy, including immune checkpoint inhibitors (49%) and VEGF-targeted therapies (46%). Using organ-site count as a proxy for disease burden, 59% demonstrated single-organ extracranial metastatic involvement. During follow-up, 95 patients (40.9%) experienced all-cause mortality. Median overall survival was 967 days (31.8 months). Estimated long-term survival probability at maximum follow-up was 21.2%. Kaplan–Meier analysis demonstrated early survival attrition followed by prolonged survival in a subset of patients. Patients receiving immunotherapy and those with limited extracranial metastatic burden demonstrated more favorable survival patterns. Conclusions: In this large contemporary real-world cohort of RCC patients with brain metastases treated with stereotactic radiosurgery, median overall survival exceeded 2.5 years, providing important modern survival benchmarks. Favorable outcomes were observed among patients receiving systemic immunotherapy and those with limited metastatic burden, supporting the continued role of SRS within multidisciplinary management strategies for selected patients with metastatic RCC.

e16322 Background: Small intestine neuroendocrine carcinoma (NEC) is a rare, aggressive malignancy comprising less than 0.1% of gastrointestinal cancers. Population-level data remain limited, restricting understanding of long-term survival patterns, demographic disparities, and evolving disease burden. We evaluated survival outcomes, demographic predictors, and incidence trends of small intestine NEC in the United States. Methods: We conducted a retrospective population-based cohort study using SEER Research Data (17 registries, November 2024 submission). Patients diagnosed with malignant small intestine NEC (ICD-O-3 morphology code 9.3.3.1.2) between 2000 and 2022 were identified using SEER*Stat (v9.0.4.2). Variables including age group, sex, race, year of diagnosis, survival time, and vital status were analyzed in R (v4.5.1). Overall survival (OS) was estimated using Kaplan–Meier methods and compared using log-rank testing. Cox proportional hazards models identified independent predictors of OS. Annual case counts were modeled using time-series forecasting to project future incidence. Results: A total of 506 patients were included. Estimated OS was 94.4% (95% CI 92.4–96.4) at 1 year, 88.1% (85.3–91.0) at 3 years, and 82.4% (79.0–85.9) at 5 years, with a subset demonstrating survival beyond 15 years. Increasing age was associated with worse survival (log-rank p = 0.058). Significant racial differences in OS were observed (log-rank p < 0.0001). In multivariable analysis, race remained independently associated with OS. Incidence forecasting projected a modest increase in annual case burden over the next decade. Conclusions: Small intestine NEC demonstrates heterogeneous survival outcomes, significant demographic disparities, and projected growth in disease burden. These findings highlight the need for improved risk stratification, equitable access to care, and integration of molecular and treatment-level data to optimize management of this rare malignancy

e15598 Background: Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape of gastrointestinal (GI) malignancies. Emerging evidence suggests that gut microbiome composition plays a critical role in modulating the efficacy of immunotherapy. Antibiotics, by disrupting intestinal microbial diversity, may attenuate antitumor immune responses and compromise ICI outcomes. We evaluated time-dependent clinical outcomes associated with antibiotic exposure using real-world data. Methods: We conducted a retrospective cohort study using a large federated real-world database (2015-2025). Adults (18–89 years) with gastrointestinal or hepatobiliary malignancies (including colorectal, gastric, esophageal, and liver cancers) treated with ICI, receiving systemic antibiotics, were compared with matched controls without antibiotic exposure. Cohorts were balanced using 1:1 Propensity score matching for demographics, comorbidities, and treatment variables. The primary outcome was all-cause mortality at 30 days of ICI initiation; the secondary outcomes were hospitalization secondary to infectious and organ-related complications, overall survival at 1 and 3 years. Pre-specified subgroup analyses were performed in older adults ( > / = 65 years). Effect estimates were reported as risk ratios( RR), hazard ratios (HR), and absolute risk differences. Survival was analyzed using Kaplan–Meier curves and Cox proportional hazards models. Results: Within 30 days, antibiotic exposure was associated with significantly increased risks of Clostridioides difficile infection (RR 2.39), pneumonia (RR 2.93), acute kidney injury (RR 1.40), acute respiratory failure (RR 2.11), and neutropenia (RR 1.18) (all p < 0.05). Absolute risk differences translated to a number needed to harm (NNH) of approximately 38 for pneumonia, 143 for acute kidney injury, and ~140 for C. difficile infection. One-month mortality was modestly higher in the antibiotic group (5.4% vs 4.5%; HR 1.22; p = 0.014). However, no significant differences in mortality were observed at 6 months, 1 year, or 3 years, and survival curves converged over time. In the subgroup analysis of adults ≥65 years, early adverse event patterns were preserved, while long-term mortality remained unchanged. One-year hospital admission rates did not differ significantly between groups. Conclusions: Antibiotic exposure is associated with substantial early infectious and organ-related harm and a small increase in short-term mortality, without improvement in long-term survival, including among older adults. These findings highlight a critical opportunity for risk-adapted antibiotic stewardship and careful reassessment of empiric antibiotic use. Key words: ICI- Immune checkpoint inhibitors, RR- Risk ratio, HR- Hazard Ratio, NNH- Number Needed to Harm.

11186 Background: Cancer survival is shaped by tumor biology, treatment access, and socioeconomic context, yet population-level quantification of long-term survival disparities related to chemotherapy use and income is limited. We assessed five-year cancer-specific survival across demographic, treatment, and socioeconomic strata in a national registry. Methods: We performed a retrospective, population-based survival analysis using the Surveillance, Epidemiology, and End Results (SEER) database. Cancer-specific survival was evaluated at 12, 24, 36, 48, and 60 months after diagnosis. Outcomes were stratified by sex, race, chemotherapy receipt, and area-level median household income categories. Survival estimates were summarized descriptively and visualized using time-to-event curves. Results: Overall cancer-specific survival declined progressively over five years, from ~84% at 12 months to ~58% at 60 months. Sex differences were minimal, with similar five-year survival among males and females (~57–58%). Racial disparities were substantial: Asian/Pacific Islander patients demonstrated the highest survival across follow-up, while Black and American Indian/Alaska Native patients had lower early survival and persistent gaps at five years. Patients with recorded chemotherapy use had improved survival compared with those without or with unknown chemotherapy status; 12-month survival was ~88% versus ~80%, and five-year survival was ~65% versus ~57%, respectively. A pronounced socioeconomic gradient was observed: individuals in areas with median household income ≥$120,000 had higher five-year survival (~67%), whereas those in areas with income < $40,000 had markedly lower survival (~52%). Conclusions: In this national registry analysis, both chemotherapy utilization and higher socioeconomic status were strongly associated with improved long-term cancer survival, whereas persistent racial and income-related disparities remained evident. These findings highlight ongoing inequities in access to oncologic care and support the need for targeted policy interventions and equity-focused treatment delivery models. Interpretation should account for limitations inherent to observational registry data and potential residual confounding.