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10520 Background: Therapeutic options for breast cancer (BC) prevention for high-risk women remain limited, and not all eligible patients opt for endocrine therapy due to concerns related to adverse events (AEs). GLP1RAs are widely used for obesity and type 2 diabetes mellitus; their role in BC primary prevention (PP) in high-risk women with obesity has not been evaluated. Methods: Using the TriNetX Global Network (150 million patients, 108 organizations), we analyzed de-identified records of high-risk women aged 18–90 years with a BMI ≥ 30 who had health care encounters between January 1, 2000, and January 1, 2025, identified via ICD-10 codes. High risk was defined as at least one of the following: genetic predisposition to BC, family history of BC, atypical ductal hyperplasia, atypical lobular hyperplasia, lobular carcinoma in situ, or dense breasts. Patients were grouped as having GLP1-RA use or no GLP-1RA use. Patients with a prior history of BC or use of endocrine therapy were excluded. GLP-1RA users were propensity score-matched 1:1 with non-users based on demographics, comorbidities, social determinants of health, lifestyle factors, BMI, HbA1c, and prior breast imaging. Incident BC served as the primary endpoint, with key AEs as secondary measures. Kaplan–Meier analysis and Cox proportional hazards models were utilized to assess outcomes, which were further validated through subgroup and sensitivity analyses. Results: Among 80,480 high-risk women with a BMI ≥ 30, 46,581 were assigned to each cohort. Baseline demographics were balanced between cohorts (mean age: 46 years, 70% White, 21% Black). Median follow-up was 2,790 vs 2,630 days for GLP-1RA users and non-users, respectively. BC incidence was 2.95% in GLP-1RA users (1,164/39,495 cases) vs 3.01% in non-users (1,200/39,057 cases) (3.27 vs. 3.57 cases per 1,000 person-years; HR 0.844; 95% CI, 0.779–0.915). GLP-1RA users exhibited an increased risk of endometrial cancer (HR 1.273; 95% CI, 1.088–1.491) and osteoporosis (HR 1.124; 95% CI, 1.054–1.199). No significant association was observed for venous thromboembolism. Gastrointestinal AEs were significantly higher in the GLP-1RA cohort. Conclusions: GLP-1RA use was associated with a modest reduction in BC incidence among high-risk women with obesity in this real-world study. Prospective randomized trials are needed to validate these associations.

Abstract Introduction: Endocrine therapy (ET) is central to treating hormone receptor-positive breast cancer (BC), but its side effects impact adherence and quality of life, especially in patients with metabolic dysfunction. Sodium-glucose cotransporter-2 (SGLT-2) inhibitors offer cardiometabolic benefits, potentially improving inflammation, glycemic control, and physical well-being. However, data on SGLT-2 use in BC patients is scarce. This study is the first to evaluate the real-world effects of SGLT-2 inhibitors on all-cause mortality and ET tolerability in BC patients. Methodology: We conducted a real-world analysis using the TrinetX database, which includes data from 184 million patients in 156 healthcare organizations, to identify BC patients on ET (letrozole, anastrozole, exemestane, tamoxifen) who received SGLT-2 inhibitors vs. those who did not. Patients were grouped by age (≤50 and ≥51 years as a surrogate for menopausal status. Primary outcome: all-cause mortality from the start of the index event, defined as the first day meeting BC diagnosis and ET use, with or without SGLT-2. Secondary endpoint: ET tolerability. Propensity score matching completed by TriNetX adjusted for confounders. Multivariate analysis yielded odds ratios and risk differences with 95% CI. Results: Among 1,136 BC patients ≤50 years, 568 were assigned to each group (SGLT-2 vs non-SGLT-2). For patients ≥51 years (n=28,600), each group included 14,300. Demographics across cohorts were comparable. No mortality benefit was seen in premenopausal patients. In postmenopausal women, SGLT-2 use reduced all-cause mortality—647/13,676 events (SGLT-2) vs 953/13,517 (non-SGLT-2) [OR: 0.655 (0.591-0.726)]. In premenopausal patients, SGLT-2 reduced endometrial cancer risk [RD: -0.018 (-0.029, -0.007)] but increased diarrhea risk [OR: 2.305 (1.078, 4.930)]. No significant differences were found in hot flashes, PE, DVT, depression, osteoporosis, joint pain, fatigue, nausea/vomiting, abdominal pain, or dizziness. Among postmenopausal patients, SGLT-2 reduced PE [OR: 0.757 (0.605-0.948)] and osteoporosis [OR: 0.877 (0.784-0.981)], but increased risks of depression [OR: 1.153 (1.007-1.319)], nausea/vomiting [OR: 1.120 (1.001-1.253)], diarrhea [OR: 1.193 (1.058-1.345)], and dizziness [OR: 1.234 (1.103-1.380)]. No significant differences were found for hot flashes, DVT, EC, joint pain, fatigue, or abdominal pain. Conclusion: This analysis reveals novel evidence supporting the cardiometabolic potential of SGLT-2 inhibitors in hormone receptor-positive BC, particularly postmenopausal populations. These agents were linked to lower all-cause mortality and improved tolerance of specific ET-related effects. However, certain adverse risks require caution. Future prospective studies are essential to validate their role and safety in oncologic care. Citation Format: C. Jones, J. Michalek, E. Obomanu, Y. Arya, A. Syal, S. Haddad, V. Kaklamani, S. Shaikh. Evaluating all-cause mortality and endocrine therapy tolerability with sodium glucose cotransporter-2 inhibitors in hormone receptor-positive breast cancer: A real-world analysis [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 PS1-05-28.

Abstract Introduction: Endocrine therapy (ET) improves survival in hormone receptor-positive breast cancer (BC) but has side effects that may affect compliance. GLP-1 receptor agonists (GLP-1 RA), used for diabetes and obesity, possess anti-inflammatory properties and may reduce cancer incidence. Their impact on all-cause mortality and ET tolerability remains underexplored. This real-world analysis is the first of its kind to examine the effects of GLP-1 RA on these outcomes. Methods: We used de-identified data across 130 million patients and 108 health systems from the TriNetX database to identify obese women (BMI ≥30) with BC receiving ET. Patients were grouped by GLP-1 RA exposure into age cohorts (≤50 and ≥51 years, as a surrogate for menopause). The primary endpoint was all-cause mortality; the secondary endpoint was ET tolerability. The index event was the first day meeting all criteria: BC and obesity diagnoses, and initiation of ET ± GLP-1 RA. Patients with outcomes before the study window were excluded. Propensity score matching performed by TriNetX adjusted for demographics, diabetes, comorbidities, cancer stage, and prior chemotherapy. Multivariate logistic regression assessed associations (risk ratios [RR], 95% CIs). Results: After matching, 2,574 patients were assigned to the age ≤50 group: Cohort A (GLP-1 RA exposure, n=1,287) and Cohort B (non-exposure, n=1,287). 13,012 patients were in the age ≥51 group: Cohort C (GLP-1 RA exposure, n=6,506) and Cohort D (non-exposure, n=6,506). In the ≤50 group, the mean age at index event was 42.3 ± 5.2, 99.5% female, 68.9% White, 16.9% Black, and a mean BMI of 37 in Cohort A, with similar demographics and BMI in Cohort B. In the ≥51 group, there was a mean age at index event of 61.8 ± 7.7, 99% female, 71.7% White, 17.4% Black, and a mean BMI of 37 in Cohort C with similar demographics and BMI in Cohort D. GLP-1 RA use significantly reduced all-cause mortality in all cohorts. In the age ≤50 group, there were 29/1,242 events in Cohort A and 71/1,258 in Cohort B [RR 0.414 (0.271-0.633)]. In the age ≥51 group, there were 240/6,287 events in Cohort C and 400/6,285 in Cohort D [RR 0.600 (0.513-0.701)]. GLP-1 RA use worsened ET side effects. In the age ≤50 group, GLP-1RA increased the risk of hot flashes [RR: 1.473 (1.235-1.756)], venous thromboembolism (VTE) [RR: 1.439 (1.090-1.902)], nausea/vomiting [RR: 1.460 (1.242-1.717)], abdominal pain [RR: 1.353 (1.184-1.545)], diarrhea [RR: 1.319 (1.096-1.589)], joint pain [RR: 1.382 (1.243-1.536)], and depression [RR:1.634 (1.382-1.932)]. No significant risk was found in endometrial cancer (EC) and osteoporosis. In the age ≥ 51 group, GLP-1 RA use increased hot flashes [RR: 0.1.239 (1.091-1.407)], [RR:0.591 (0.482-0.724)], nausea/vomiting [RR: 1.429 (1.324-1.542)], abdominal pain [RR: 1.310 (1.227—1.399)], diarrhea [RR: 1.446 (1.328-1.575)], joint pain [RR: 1.334 (1.270-1.400)], osteoporosis [RR: 1.110 (1.026-1.201)], and depression [RR: 1.536 (1.413-1.670)]. No significant differences were noted in VTE and EC risk. Conclusion: This real-world analysis demonstrates that GLP-1RA use is associated with a significant reduction in all-cause mortality among obese BC patients undergoing ET. However, GLP-1 RA exposure appears to exacerbate several ET-related adverse effects. Future prospective studies are needed to determine these associations as they may warrant clinical consideration. Citation Format: C. Jones, J. Michalek, E. Obomanu, Y. Arya, A. Syal, S. Haddad, V. Kaklamani, S. Shaikh. Real-world Analysis on the Impact of GLP-1 Receptor Agonists on All-cause Mortality and Endocrine Therapy-Tolerability in Obese Breast Cancer Patients [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 PD8-06.

Abstract Background: TheTAILORx trial established that adjuvant endocrine therapy (ET) is non-inferiorto chemotherapy plus ET (CET) in T1-2N0 HR+/HER2-negative early breast cancer(EBC) with an Oncotype DX (ODX) 21-gene recurrence score (RS) of 11-25, RS 0-10is associated with low distant recurrence (DR) rates with ET alone, and RS26-100 is associated with higher DR rates despite CET. Although ODX isprognostic for 10-year DR, it has limited value for late DR >5 years. Inorder to develop improved DR risk prognostication, we developed multimodal AImodels integrating clinical, molecular, and histopathology features to provideprognostic information for early (<5years), late (>5 years), and overall DR at 15 years using primary tumorsamples and clinical data from volunteers who participated in TAILORx. Methods: DigitizedH&E slides were generated and nucleic acids extracted and sequenced from∼5000 primary tumor samples using Caris MI Tumor Seek-Hybrid, of which 2,808(56%) were used for model training and 5-fold nested cross validation (60/20/20split). Models included single-modality (clinical [C], image [I], molecular [M:ODX genes]), dual-modality (CM, IC), and multimodal (ICM). An expandedmolecular model (M+) model was also derived from expanded molecular inputsderived from whole transcriptome sequencing (WTS) data, including 5 commercialgene signatures (ODX, MammaPrint, Prosigna, EndoPredict, BCI) and 57 high-variancegenes; only EndoPredict, BCI, and ODX gene signatures were retained for model M+.Model-CM+ combined clinical plus expanded molecular features, while ICM/ICM+integrated image, clinical, and (expanded) molecular inputs. Risk scores were dichotomized into high vs. low risk groups usingthresholds chosen to yield risk group proportions closely matching thosedefined by the ODX RS cutoff of 25 for distinguishing high vs. low genomicrisk. Theprimary endpoint was distant recurrence (DR). Prognostic performance wasassessed using truncated concordance index (C-index, 90th percentile of eventtimes), hazard ratios (HRs), and log-rank tests. DNA-level whole exomesequencing (WES) features were also tested but did not provide additionalprognostic information and thus excluded from final models. Results: Theactual ODX continuous RS achieved a C-index of 0.625 for overall DR and 0.743early DR, but no prognostic value for late DR (0.52). Similar results for theC-index were observed for ODX+C for overall DR (0.619), early DR (0.724), andlate DR (0.514). Of all modelsevaluated, model-ICM+ gave the best overall prognostic accuracy for overall DR (C-index0.713; hazard ratio [HR] 3.56 for comparison of high vs. low risk, p<0.001)and late DR (C-index 0.655; HR 2.36, p<0.001), and ranked second for earlyDR (C-index 0.772; HR 6.59, p<0.001) behind the CM+ model (C-index 0.782). Amongsingle-modality models, Model-M+ improved early DR prognostication comparedwith a molecular model including only ODX genes(C-index 0.767 vs 0.744 for M),whereas Model-I was strongest for late DR prognostication (C-index 0.635). Conclusions: Molecularfeatures primarily drove prognostic accuracy for early DR within 5 years,whereas histopathology features strengthened the prognostic accuracy for lateDR after 5 years. Multimodal models captured these complementary signals, withICM+ giving the best overall accuracy for individualized prognostic assessment.Additional validation of the optimized ICM+ model and other models is beingperformed in an intendent validation sample of 2000 TAILORx volunteers, withresults to be presented at the meeting.Supported by the Breast CancerResearch Foundation and the U.S. NIH/NCI U10CA180820 and 5U24CA196172, and theU.S. Postal Service Breast Cancer Stamp Fund. Citation Format: J. A. Sparano, V. Wang, R. J. Gray, D. F. Makower, K. S. Albain, D. F. Hayes, C. E. Geyer, E. C. Dees, M. P. Goetz, J. A. Olson, S. S. Badve, T. J. Saphner, T. J. Whelan, M. Radovich, V. G. Kaklamani, G. W. Sledge. Multimodal artificial intelligence (AI) models integrating image, clinical, and molecular data for predicting early and late breast cancer recurrence in TAILORx [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 GS1-08.

PURPOSE Phosphatidylinositol 3-kinase/AKT-serine threonine kinase/mammalian target of rapamycin (mTOR) pathway abnormalities contribute to endocrine resistance. Everolimus, an mTOR inhibitor, improved progression-free survival in hormone receptor–positive metastatic breast cancer (BC) when combined with endocrine therapy (ET). In this phase III randomized, placebo-controlled trial, we assessed the efficacy of everolimus + ET as adjuvant therapy in high-risk, hormone receptor–positive, human epidermal growth factor receptor 2–negative BC after adjuvant/neoadjuvant chemotherapy. METHODS Patients were randomly assigned 1:1 to physician's choice ET and 1 year of everolimus (10 mg orally once daily) or placebo stratified by risk group. The primary end point was invasive disease-free survival (IDFS) evaluated by a stratified log-rank test with the hazard ratio (HR) estimated by Cox regression. Subset analyses included preplanned evaluation by risk group and exploratory analyses by menopausal status and age. Secondary end points included overall survival (OS) and safety. Everolimus did not improve IDFS/OS when added to ET in patients with early-stage high-risk, hormone receptor–positive BC. RESULTS One thousand and nine hundred thirty-nine patients were randomly assigned with 1,792 eligible for analysis. Overall, no benefit of everolimus was seen for IDFS (HR, 0.94 [95% CI, 0.77 to 1.14]) or OS (HR, 0.97 [95% CI, 0.75 to 1.26]). The assumption of proportional hazards was not met suggesting significant variability in the HR over time since the start of treatment. In an unplanned subgroup analysis among postmenopausal patients (N = 1,221), no difference in IDFS (HR, 1.08 [95% CI, 0.86 to 1.36]) or OS (HR, 1.19 [95% CI, 0.89 to 1.60]) was seen. In premenopausal patients (N = 571), everolimus improved both IDFS (HR, 0.64 [95% CI, 0.44 to 0.94]) and OS (HR, 0.49 [95% CI, 0.28 to 0.86]). Treatment completion rates were lower in the everolimus arm compared with placebo (48% v 73%) with higher grade 3 and 4 adverse events (35% v 7%). CONCLUSION One year of adjuvant everolimus + ET did not improve overall outcomes. Subset analysis suggests mTOR inhibition as a possible target for patients who remain premenopausal after chemotherapy.

Abstract Background: Latin Americans are more likely to be diagnosed with aggressive early-stage breast cancer compared to Non-Hispanic White. Multiple factors may contribute to this, including metabolic factors and ancestry. In a previous study, we identified upregulated immune pathway genes in Luminal B tumors from obese Black patients compared to matched White patients. In this study, we report clinical and transcriptomic profiles of breast tumors from Latin and White patients to enhance understanding of factors contributing to aggressive tumor biology in Latin patients. Methods: We matched 311 Latin and 311 White breast cancer patients enrolled in FLEX by age, T stage, N stage and clinical subtype (ER/PR and HER2 status). FLEX (NCT03053193) is a prospective, observational trial that includes stage I-III breast cancer patients who receive MammaPrint (with or without BluePrint) as standard of care and consent to whole transcriptome and clinical data collection. MammaPrint is a 70-gene risk of distant recurrence signature that classifies patients as Low Risk or High Risk. BluePrint is an 80-gene molecular subtyping signature, categorizes tumors as Luminal-, HER2- or Basal-Type. MammaPrint further groups Luminal into A (Low Risk) and B (High Risk). ImPrint is a 53-gene signature that has been shown to predict the likelihood of achieving pCR with PD1-PDL1 immune checkpoint inhibitors. Statistical analyses on groups were conducted using arsenal R package and p-value < 0.05 was considered significant. Whole transcriptome comparisons were made, using limma R package, between Latin and White patients stratified by BluePrint subtype Luminal and weight categories normal (body-mass-index (BMI) 18.5 to < 25) and obese (BMI ≥30). Significant differentially expressed genes had an adjusted p-value < 0.05. Gene set enrichment analysis (GSEA) was conducted using fgsea R package. Results: Latin patients had significantly higher percentage of type 2 diabetes (23.3% vs 8.5%), BMI obese (49.0% vs 39.4%), BluePrint Basal (14.8% vs 9.3%) and ImPrint Immune Sensitive (12.0% vs 5.1%) compared to matched White patients. When comparing whole transcriptome of tumors from Latin and White patients, only tumors stratified by Luminal B and obesity resulted in differentially expressed genes: Latin patients had higher expression (>2-fold change) of 42 immunoglobulin genes compared to White, with only IGKV6-21 being statistically significant. Additional immune related genes such as IKZF1 and AGER, as well as UTS2 (gene encoding a vasoconstrictor agent and contributor of angiogenesis) were significantly upregulated in Latin patients. Upregulation of immune related pathways such as inflammatory response, interferon alpha/gamma response and downregulation of adipogenesis, oxidative phosphorylation and MYC targets were identified in Latin patients compared to White using GSEA Hallmarks gene sets. Conclusion: There were additional clinical and genomic differences between tumors from Latin and White patients, even when controlling for age, T stage, N stage and clinical subtype. Particularly, there were more type 2 diabetes, BMI obese, BluePrint Basal, and ImPrint Immune Sensitive among Latin patients. In addition, transcriptomic differences between obese Latin and matched White patients were found in Luminal B subgroup that may contribute to the aggressive tumor biology; immunoglobulin genes and immune related pathways were associated with higher expression in Latin patients. This study suggests that biological differences in breast tumors, particularly from obese patients, may result from shared background and reflects the need for inclusion of diverse patient groups in clinical trials. Citation Format: Marcela Mazo-Canola, Virginia Kaklamani, Pooja Advani, Sailaja Kamaraju, Alfredo A. Santillan-Gomez, Robert Maganini, Julie Barone, Sahra Uygun, Lavanya Samraj, William Audeh, Joyce O'Shaughnessy, FLEX Investigators' Group. Racial disparities in breast cancer and effect of obesity: MammaPrint, BluePrint and whole transcriptome analyses of tumors in Latin American patients in FLEX trial [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS18-04.

Background: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. Methods: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity. Results: 1383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32–1.67]); Black patients (aOR 1.74; 95 CI 1.24–2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70–6.79) and Other (aOR 2.97; 95 CI 1.71–5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83–12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63–3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20–2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66–3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89–22.6]). Hispanic ethnicity, timing, and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status. Conclusions: Using one of the largest registries on cancer and COVID-19, we identified patient and BC-related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to non-Hispanic White patients. Funding: This study was partly supported by National Cancer Institute grant number P30 CA068485 to Tianyi Sun, Sanjay Mishra, Benjamin French, Jeremy L Warner; P30-CA046592 to Christopher R Friese; P30 CA023100 for Rana R McKay; P30-CA054174 for Pankil K Shah and Dimpy P Shah; KL2 TR002646 for Pankil Shah and the American Cancer Society and Hope Foundation for Cancer Research (MRSG-16-152-01-CCE) and P30-CA054174 for Dimpy P Shah. REDCap is developed and supported by Vanderbilt Institute for Clinical and Translational Research grant support (UL1 TR000445 from NCATS/NIH). The funding sources had no role in the writing of the manuscript or the decision to submit it for publication. Clinical trial number: CCC19 registry is registered on ClinicalTrials.gov, NCT04354701 .

ImportanceSystematic data on the association between anticancer therapies and thromboembolic events (TEEs) in patients with COVID-19 are lacking.ObjectiveTo assess the association between anticancer therapy exposure within 3 months prior to COVID-19 and TEEs following COVID-19 diagnosis in patients with cancer.Design, Setting, and ParticipantsThis registry-based retrospective cohort study included patients who were hospitalized and had active cancer and laboratory-confirmed SARS-CoV-2 infection. Data were accrued from March 2020 to December 2021 and analyzed from December 2021 to October 2022.ExposureTreatments of interest (TOIs) (endocrine therapy, vascular endothelial growth factor inhibitors/tyrosine kinase inhibitors [VEGFis/TKIs], immunomodulators [IMiDs], immune checkpoint inhibitors [ICIs], chemotherapy) vs reference (no systemic therapy) in 3 months prior to COVID-19.Main Outcomes and MeasuresMain outcomes were (1) venous thromboembolism (VTE) and (2) arterial thromboembolism (ATE). Secondary outcome was severity of COVID-19 (rates of intensive care unit admission, mechanical ventilation, 30-day all-cause mortality following TEEs in TOI vs reference group) at 30-day follow-up.ResultsOf 4988 hospitalized patients with cancer (median [IQR] age, 69 [59-78] years; 2608 [52%] male), 1869 had received 1 or more TOIs. Incidence of VTE was higher in all TOI groups: endocrine therapy, 7%; VEGFis/TKIs, 10%; IMiDs, 8%; ICIs, 12%; and chemotherapy, 10%, compared with patients not receiving systemic therapies (6%). In multivariable log-binomial regression analyses, relative risk of VTE (adjusted risk ratio [aRR], 1.33; 95% CI, 1.04-1.69) but not ATE (aRR, 0.81; 95% CI, 0.56-1.16) was significantly higher in those exposed to all TOIs pooled together vs those with no exposure. Among individual drugs, ICIs were significantly associated with VTE (aRR, 1.45; 95% CI, 1.01-2.07). Also noted were significant associations between VTE and active and progressing cancer (aRR, 1.43; 95% CI, 1.01-2.03), history of VTE (aRR, 3.10; 95% CI, 2.38-4.04), and high-risk site of cancer (aRR, 1.42; 95% CI, 1.14-1.75). Black patients had a higher risk of TEEs (aRR, 1.24; 95% CI, 1.03-1.50) than White patients. Patients with TEEs had high intensive care unit admission (46%) and mechanical ventilation (31%) rates. Relative risk of death in patients with TEEs was higher in those exposed to TOIs vs not (aRR, 1.12; 95% CI, 0.91-1.38) and was significantly associated with poor performance status (aRR, 1.77; 95% CI, 1.30-2.40) and active/progressing cancer (aRR, 1.55; 95% CI, 1.13-2.13).Conclusions and RelevanceIn this cohort study, relative risk of developing VTE was high among patients receiving TOIs and varied by the type of therapy, underlying risk factors, and demographics, such as race and ethnicity. These findings highlight the need for close monitoring and perhaps personalized thromboprophylaxis to prevent morbidity and mortality associated with COVID-19–related thromboembolism in patients with cancer.