Citations

Mayo Clinic

Clear

1908 citation(s) found for "Wu, Henry".

S650 Effects of COVID-19 in Patients With Gastroparesis: An Analysis of Patients in the NIH Gastroparesis Registry
Yates, Katherine P. , McCallum, Richard W. , Koch, Kenneth L. , Sarosiek, Irene , Bulat, Robert, Malik, Zubair , Farrugia, Gianrico , Shulman, Robert J. , Miriel, Laura , Tonascia, James , Hamilton, Frank A., Pasricha, Pankaj J. , Grover, Madhusudan , Parkman, Henry P. , Abell, Thomas L. , Kuo, Braden , Chumpitazi, Bruno P.

American Journal of Gastroenterology | October 18, 2023 | Volume: 118 | Issue: 10S | Pages: S475-S475

10.14309/01.ajg.0000952240.21406.83 Get It

S1485 Semaglutide Outcomes in Non-Alcoholic Fatty Liver Disease: A Multi-Centered Real-World Study
Fansa, Sima , Tama, Elif , Nicolalde, Bryan , Gala, Khushboo, Cifuentes, Lizeth , Rosa, Alan De la , Sacoto, Daniel , Feris, Fauzi , Ghusn, Wissam , Añazco, Diego , Gala, Khushboo , Campos, Alejandro , Acosta, Andrés

American Journal of Gastroenterology | October 18, 2023 | Volume: 118 | Issue: 10S | Pages: S1127-S1128

10.14309/01.ajg.0000955580.73643.8b Get It

Phase II trial of nivolumab and metformin in patients with treatment-refractory microsatellite stable metastatic colorectal cancer
Akce, Mehmet , Rupji, Manali , Kang, Sandra , Khalil, Lana , Ruggieri-Joyce, Amanda, Olson, Brian M. , Shaib, Walid L. , Diab, Maria , El‐Rayes, Bassel F. , Farran, Batoul , Lesinski, Gregory B , El-Rayes, Bassel F , Switchenko, Jeffrey M. , Wu, Christina , Alese, Olatunji B.

Journal for ImmunoTherapy of Cancer | October 18, 2023 | Volume: 11 | Issue: 10 | Pages: e007235

10.1136/jitc-2023-007235 | PMID 37852737 Get It

Background Preclinical studies showed metformin reduces exhaustion of tumor-infiltrating lymphocytes and potentiates programmed cell death protein-1 (PD-1) blockade. We hypothesized that metformin with nivolumab would elicit potent antitumor and immune modulatory activity in metastatic microsatellite stable (MSS) colorectal cancer (CRC). We evaluated this hypothesis in a phase II study. Methods Nivolumab (480 mg) was administered intravenously every 4 weeks while metformin (1000 mg) was given orally, two times per day following a 14-day metformin only lead-in phase. Patients ≥18 years of age, with previously treated, stage IV MSS CRC, and Eastern Cooperative Oncology Group 0–1, having received no prior anti-PD-1 agent were eligible. The primary endpoint was overall response rate with secondary endpoints of overall survival (OS) and progression-free survival (PFS). Correlative studies using paired pretreatment/on-treatment biopsies and peripheral blood evaluated a series of immune biomarkers in the tumor microenvironment and systemic circulation using ChipCytometry and flow cytometry. Results A total of 24 patients were enrolled, 6 patients were replaced per protocol, 18 patients had evaluable disease. Of the 18 evaluable patients, 11/18 (61%) were women and the median age was 58 (IQR 50–67). Two patients had stable disease, but no patients had objective response, hence the study was stopped for futility. Median OS and PFS was 5.2 months (95% CI (3.2 to 11.7)) and 2.3 months (95% CI (1.7 to 2.3)). Most common grade 3/4 toxicities: Anemia (n=2), diarrhea (n=2), and fever (n=2). Metformin alone failed to increase the infiltration of T-cell subsets in the tumor, but combined metformin and nivolumab increased percentages of tumor-infiltrating leukocytes (p=0.031). Dual treatment also increased Tim3+ levels in patient tissues and decreased naïve CD8+T cells (p=0.0475). Conclusions Nivolumab and metformin were well tolerated in patients with MSS CRC but had no evidence of efficacy. Correlative studies did not reveal an appreciable degree of immune modulation from metformin alone, but showed trends in tumorous T-cell infiltration as a result of dual metformin and PD-1 blockade despite progression in a majority of patients.
Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study
Nagaraj, Gayathri , Vinayak, Shaveta , Sun, Tianyi , Kuderer, Nicole M. , Bakouny, Ziad , Balmaceda, Nicole , Bilen, Mehmet Asım , Bindal, Poorva , Blau, Sibel , Bodin, Brianne E, Borno, Hala T. , Castellano, Cecilia A. , Choi, Horyun, Deeken, John F. , Desai, Aakash , Edwin, Natasha, Feldman, Lawrence , Flora, Daniel , Galsky, Matthew D. , Gonzalez, Cyndi J, Grivas, Petros , Gupta, Shilpa , Haynam, Marcy , Heilman, Hannah, Jani, Chinmay , Jhawar, Sachin R, Kaklamani, Virginia , Klein, Elizabeth J. , Koshkin, Vadim S. , Kulkarni, Amit , Kwon, Daniel H. , Lammers, Philip E. , Lathrop, Kate, Lewis, Mark A. , Li, Xuanyi , Lopes, Gilbert de Lima, Makower, Della , Mansoor, Abdul-Hai, Mashru, Sandeep H., McKay, Rana R. , Messing, Ian , Mico, Vasil, Nadkarni, Rajani, Namburi, Swathi, Nguyen, Ryan H, Nonato, Taylor K., O’Connor, Tracey L. , Park, Kyu, Patel, Jaymin , Patel, Kanishka G. , Peppercorn, Jeffrey , Polimera, Hyma , Puc, Matthew , Rao, Yuan James , Reid, Sonya , Riess, Jonathan W. , Rivera, Donna R. , Rose, Suzanne J. , Russ, Atlantis Dawn, Schapira, Lidia , Shah, Pankil , Shanahan, M Kelly, Smits, Melissa, Streckfuss, Mitrianna, Thompson, Michael A, Tolaney, Sara M. , Weissmann, Lisa B., Wilson, Grace, Wulff‐Burchfield, Elizabeth , French, Benjamin , Lustberg, Maryam B. , Accordino, Melissa , Sun, Tianyi , Hwang, Clara , Puc, Matthew M , Mishra, Sanjay , Accordino, Melissa K , Desai, Aakash P , Bakouny, Ziad , Bilen, Mehmet A , Lustberg, Maryam , Khaki, Ali Raza , Aboulafia, David M. , Acoba, Jared David , Awosika, Joy A. , Bao, Ting , Bashir, Babar , Berg, Stephanie , Friese, Christopher R. , Hershman, Dawn L. , Hwang, Clara , Jhawar, Sachin R, Joshi, Monika , Knox, Natalie, Labaki, Chris , Lyman, Gary H , Markham, Merry Jennifer , Nguyen, Ryan H, Panagiotou, Orestis A. , Razavi, Pedram , Robson, Mark E. , Shapiro, Lauren C. , Stover, Daniel G. , Tachiki, Lisa , Wotman, Michael T. , Mishra, Sanjay , Warner, Jeremy L. , Shah, Dimpy P.

eLife | October 17, 2023 | Volume: 12 | Issue: No issue available | Pages: No page available

10.7554/elife.82618 | PMID 37846664 Get It

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 .
Clinical characteristics of infantile hemangiomas with aggressive, persistent, and destructive ulceration
Gautam, Ayushi , Frieden, Ilona J. , Shah, Sonal D. , Witman, Patricia M., Harfmann, Katya , Bradley, Flora , Blei, Francine , Pope, Elena , Alsumait, Anwar, Gupta, Deepti , Covelli, Isabela, Streicher, Jenna L., Cotton, Colleen , Tollefson, Megha M. , Nguyen, Henry, Hunt, Raegan , Buros, Amy, Fernandez Faith, Esteban , Gautam, Ayushi , Buros, Amy, Faith, Esteban Fernández

Pediatric Dermatology | October 17, 2023 | Volume: 40 | Issue: 6 | Pages: 996-1002

10.1111/pde.15444 | PMID 37845188 Get It

AbstractBackground/ObjectivesUlceration is a common complication of infantile hemangioma (IH). Severe, persistent ulceration occurs in a minority of patients. This study aims to characterize the clinical features of IH with aggressive ulceration (AU).MethodsMulticenter retrospective study of clinical features of IH with AU.ResultsThirty‐five patients with AU were identified and included in the study. The majority of AU occurred in segmental IH (23/35, 65%). Segmental IH with AU were large (≥10 cm2; 16/23, 69%, p < .001) with a thin (<3 mm) superficial component (16/23, 69%, p < .001). Localized IH with AU had a thick (>3 mm) superficial component (11/12, 92%, p < .001).All diaper area IH with AU (9/35) were segmental with thin superficial component (100%, p = .02). IH with AU in the head/neck (10/35) were more commonly localized (67%) and mixed (62.5%), while segmental, thick superficial morphology was more common on trunk (9/35) and upper extremities (7/35).ConclusionsIH resulting in AU differ in clinical features by anatomic site. Those in the diaper area are nearly always segmental with thin superficial component, whereas other sites tend to be localized, mixed, with thick superficial component. These distinct phenotypes may prove useful in the clinical setting for physicians to identify patterns of IH ulceration with increased risk of aggressive, persistent ulceration.
The Future Ain’t What It Used to Be…Out With the Old…In With the Better: Antibacterial Resistance Leadership Group Innovations
Patel, Robin , Hamasaki, Toshimitsu , Howard‐Anderson, Jessica , Kinamon, Tori, King, H. A. , Cross, H. R. , Chambers, Henry F. , Fowler, Vance G. , Boucher, Helen W., Group, for the Antibacterial Resistance Leadership, Schooley, Robert T. , Banerjee, Ritu , Souli, Maria , Sund, Zoë, Evans, Beth , Booth, Grant, Estes, Leslie, Greenwood‐Quaintance, Kerryl E. , Parmar, Krupa , Schwager, Nyssa, Wickward, Cathy, Geres, Holly, Dai, Weixiao , He, Yijie, Doernberg, Sarah B. , Satlin, Michael J. , Rouphael, Nadine , Baum, Keri, Raza, Praneeta , Komarow, Lauren , Hopkins, D. E., Zhang, Shanshan , Patel, Robin , Evans, Scott R , Evans, Scott , King, Heather A, Collyar, Deborah , Cross, Heather R, Fowler, Vance G. , Group, for the Antibacterial Resistance Leadership, Tamma, Pranita D. , Evans, Beth, Cunningham, Scott A. , Tillekeratne, L. Gayani , Dodd, Andrew, Hopkins, Deborah, Li, Yixuan , Tsalik, Ephraim L. , Holland, Thomas L

Clinical Infectious Diseases | October 16, 2023 | Volume: 77 | Issue: Supplement_4 | Pages: S321-S330

10.1093/cid/ciad538 | PMID 37843122 Get It

Abstract Clinical research networks conduct important studies that would not otherwise be performed by other entities. In the case of the Antibacterial Resistance Leadership Group (ARLG), such studies include diagnostic studies using master protocols, controlled phage intervention trials, and studies that evaluate treatment strategies or dynamic interventions, such as sequences of empiric and definitive therapies. However, the value of a clinical research network lies not only in the results from these important studies but in the creation of new approaches derived from collaborative thinking, carefully examining and defining the most important research questions for clinical practice, recognizing and addressing common but suboptimal approaches, and anticipating that the standard approaches of today may be insufficient for tomorrow. This results in the development and implementation of new methodologies and tools for the design, conduct, analyses, and reporting of research studies. These new methodologies directly impact the studies conducted within the network and have a broad and long-lasting impact on the field, enhancing the scientific value and efficiency of generations of research studies. This article describes innovations from the ARLG in diagnostic studies, observational studies, and clinical trials evaluating interventions for the prevention and treatment of antibiotic-resistant bacterial infections.
Under the Hood: The Scientific Leadership, Clinical Operations, Statistical and Data Management, and Laboratory Centers of the Antibacterial Resistance Leadership Group
Cross, H. R. , Greenwood‐Quaintance, Kerryl E. , Souli, Maria , Komarow, Lauren , Geres, Holly, Hamasaki, Toshimitsu , Chambers, Henry F. , Fowler, Vance G. , Patel, Robin , Group, for the Antibacterial Resistance Leadership, Patel, Robin , Evans, Scott R , Cross, Heather R, Fowler, Vance G. , Evans, Scott , Group, for the Antibacterial Resistance Leadership

Clinical Infectious Diseases | October 16, 2023 | Volume: 77 | Issue: Supplement_4 | Pages: S288-S294

10.1093/cid/ciad529 | PMID 37843120 Get It

AbstractDeveloping and implementing the scientific agenda of the Antibacterial Resistance Leadership Group (ARLG) by soliciting input and proposals, transforming concepts into clinical trials, conducting those trials, and translating trial data analyses into actionable information for infectious disease clinical practice is the collective role of the Scientific Leadership Center, Clinical Operations Center, Statistical and Data Management Center, and Laboratory Center of the ARLG. These activities include shepherding concept proposal applications through peer review; identifying, qualifying, training, and overseeing clinical trials sites; recommending, developing, performing, and evaluating laboratory assays in support of clinical trials; and designing and performing data collection and statistical analyses. This article describes key components involved in realizing the ARLG scientific agenda through the activities of the ARLG centers.
The Antibacterial Resistance Leadership Group: Scientific Advancements and Future Directions
Chambers, Henry F. , Cross, H. R. , Souli, Maria , Patel, Robin , Fowler, Vance G. , Group, for the Antibacterial Resistance Leadership, Deckard, Nancie , Schuler, Carl, Bunn, Ivra, Zaharoff, Smitha, Sharma, Shrabani, Wickward, Cathy, Waller, Jason, Wilson, Holly, Baum, Keri, Komarow, Lauren , Evans, Beth , Hopkins, D. E., Ge, Lizhao , Giri, Abhigya, Dai, Weixiao , Diao, Guoqing , Fidler, Tamara, Shao, Wanying, Schwager, Nyssa, Mau, Donald, Satlin, Michael J. , Schooley, Robert T. , Sund, Zoë, Booth, Grant, Estes, Leslie, Greenwood‐Quaintance, Kerryl E. , Parmar, Krupa , Doernberg, Sarah B. , Raza, Praneeta , Zeng, Lijuan , Banerjee, Ritu , Abbenante, Erin, Mocka, Elizabeth, King, H. A. , Kinamon, Tori, Boucher, Helen W., Geres, Holly, He, Yijie, Mehigan, Maureen, Ghazaryan, Varduhi , Raterman, Erica L., Samuel, Tamika, Lee, Marina S. , Fowler, Vance G. , Patel, Robin , Evans, Scott R , Cross, Heather R, Evans, Scott , Group, for the Antibacterial Resistance Leadership, Lodise, Thomas P. , Schuler, Carl, Holland, Thomas L , Turner, Nicholas , Wilson, Holly, van Duin, David , Wang, Minggui, Evans, Beth, Hopkins, Deborah, Bonomo, Robert A. , Li, Yixuan , Tamma, Pranita D. , Hamasaki, Toshimitsu , Cunningham, Scott A. , Dodd, Andrew, Tsalik, Ephraim L. , Tillekeratne, L. Gayani , King, Heather, Kinamon, Tori, Howard‐Anderson, Jessica , Nayak, Seema , Samuel, Tamika

Clinical Infectious Diseases | October 16, 2023 | Volume: 77 | Issue: Supplement_4 | Pages: S279-S287

10.1093/cid/ciad475 | PMID 37843121 Get It

AbstractIn this overview, we describe important contributions from the Antibacterial Resistance Leadership Group (ARLG) to patient care, clinical trials design, and mentorship while outlining future priorities. The ARLG research agenda is focused on 3 key areas: gram-positive infections, gram-negative infections, and diagnostics. The ARLG has developed an innovative approach to clinical trials design, the desirability of outcome ranking (DOOR), which uses an ordinal measure of global outcome to assess both benefits and harms. DOOR was initially applied to observational studies to determine optimal dosing of vancomycin for methicillin-resistant Staphylcococcus aureus bacteremia and the efficacy of ceftazidime-avibactam versus colistin for the treatment of carbapenem-resistant Enterobacterales infection. DOOR is being successfully applied to the analysis of interventional trials and, in collaboration with the US Food and Drug Administration (FDA), for use in registrational trials. In the area of diagnostics, the ARLG developed Master Protocol for Evaluating Multiple Infection Diagnostics (MASTERMIND), an innovative design that allows simultaneous testing of multiple diagnostic platforms in a single study. This approach will be used to compare molecular assays for the identification of fluoroquinolone-resistant Neisseria gonorrhoeae (MASTER GC) and to compare rapid diagnostic tests for bloodstream infections. The ARLG has initiated a first-in-kind randomized, double-blind, placebo-controlled trial in participants with cystic fibrosis who are chronically colonized with Pseudomonas aeruginosa to assess the pharmacokinetics and antimicrobial activity of bacteriophage therapy. Finally, an engaged and highly trained workforce is critical for continued and future success against antimicrobial drug resistance. Thus, the ARLG has developed a robust mentoring program targeted to each stage of research training to attract and retain investigators in the field of antimicrobial resistance research.
FIGO statement: Fertility preservation
Henry, Laurie , Berek, Jonathan S. , Díaz, Ivonne, Feldberg, Dov , Niederberger, C. Craig, Ohlander, Samuel , Purandare, Nikhil , Rosenwaks, Zev, Wilailak, Sarikapan , Malhotra, Jaideep , Mocanu, Edgar V. , Niederberger, Craig, Tulandi, Togas , Wasson, Megan

International Journal of Gynecology & Obstetrics | October 12, 2023 | Volume: 163 | Issue: 3 | Pages: 790-794

10.1002/ijgo.15187 | PMID 37807831 Get It

AbstractFertility preservation is a growing field in reproductive medicine that may raise ethical questions. Preservation of fertility must be discussed with the patient if gonadotoxic treatment is required, whether in the case of benign or malignant pathology, or in the management of transgender identity. As a result, surgery or chemotherapy that has fewer adverse impacts on fertility should be proposed if this does not alter the prognosis of the disease. If the risk of infertility persists, then fertility cryopreservation should be proposed for children and adults of reproductive age. Sperm, oocytes, and gonadal tissue can be cryopreserved for many years. FIGO wishes to emphasize the importance of fertility preservation in the medical and surgical management of patients, and the importance of a specialized, multidisciplinary approach.
FRI077 Efficacy Of Anti-obesity Medications Among Breast Cancer Survivors Taking Aromatase Inhibitors
Fansa, Sima , Tama, Elif , Nicolalde, Bryan , D’Andre, Stacy D. , Ghusn, Wissam , Añazco, Diego , Faubion, Stephanie S. , Shufelt, Chrisandra , Acosta, Andrés , Hurtado, Maria D.

Journal of the Endocrine Society | October 5, 2023 | Volume: 7 | Issue: Supplement_1 | Pages: No page available

10.1210/jendso/bvad114.087 Get It

Abstract Disclosure: S. Fansa: None. W. Ghusn: None. E. Tama: None. B. Nicolalde: None. D. Anazco: None. S. D'Andre: None. S. Faubion: None. C. Shufelt: None. A. Acosta: None. M.D. Hurtado: None. Background: Aromatase inhibitors (AIs) block estrogen synthesis and are used as adjuvant treatment for breast cancer. AIs are associated with weight gain that can lead to increased cardiometabolic risk, thereby affecting health and survivorship quality in these patients. The role of anti-obesity medications (AOMs) in patients using AIs has not been studied. We sought to investigate weight loss outcomes to AOMs in patients taking AIs for breast cancer treatment. Methods: This is a matched case-control retrospective cohort study of breast cancer survivors on AI using FDA-approved AOMs (AI/AOM group). We compared their weight loss outcomes with a group of female patients with obesity, without a history of breast cancer or AI use, on AOMs (AOM group). We matched patients by age and body mass index (BMI). Exclusion criteria: AOM initiation prior to AI therapy, ≤3 months of AOM use, history of bariatric surgery, active malignancy, or pregnancy. Primary endpoint: total body weight loss % (TBWL%) at 12 months. Secondary endpoints: TBWL% at 3 and 6 months and % of patients achieving categorical TBWL ≥5%, ≥10% and ≥15% at 12 months. We used Pearson χ2 and unpaired t-test to compare baseline characteristics and outcomes between groups, and univariate analyses to estimate the contribution of variables to TBWL% in the AI/AOM group. We present results as mean ± standard deviation. Results: We included 99 patients: 63 in the AI/AOM group (63.5±10 years, BMI 34.4±7.0 kg/m2) and 36 in the AOM group (60.4±8.7 years, BMI 36.3±6.9 kg/m2). Liraglutide, semaglutide and phentermine were the only AOMs used. There was no difference in the frequency of use of these three AOMs among both groups (p= 0.1). AI/AOM group had a lower TBWL% compared to the AOM group during follow-up: 3.7± 4.3% vs. 5.6 ± 4.1% (p= 0.03) at 3 months, 3.9± 4.3% vs. 9.5± 4.7% (p&lt; 0.0001) at 6 months, and 5.2± 5.3% vs. 10.5± 6.8% (p&lt; 0.0001) at 12 months. Although the AI/AOM group was more likely to use lower doses of AOMs (p= 0.0004), TBWL% differences persisted among groups at 12 months after adjusting for AOM dosing (p&lt; 0.0001). There was no difference in nutritional and behavioral modification sessions among groups (p=0.06 and p=0.9, respectively). At 12 months, the percentage of patients achieving ≥5%, ≥10%, and ≥15% TBWL was greater in the AOM group compared to the AI/AOM group: ≥5% TBWL, 85.7% vs. 50.0% (p&lt; 0.0001); ≥10%, 57.1 vs. 20.0% (p&lt; 0.0001); and ≥15%, 28.6 vs. 5.0% (p&lt; 0.0001); respectively. We found no predictors of TBWL% at 12 months in the AI/AOM group. Conclusion: Weight loss outcomes in breast cancer survivors on AIs taking AOMs are poorer compared to patients without breast cancer history and not taking AIs. Studies are needed to assess the mechanisms behind the different weight loss response to AOMs in women taking AIs, which we hypothesize may relate to AIs’ anti-estrogenic effect on lean and fat mass. Presentation: Friday, June 16, 2023