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16258 citation(s) found for "David, C S".

Lymphocyte dynamics after CAR ‐T therapy for non‐Hodgkin lymphoma
Dingli, Sarah , Rothweiler, Paul , Corraes, Andre De Menezes Silva, Atallah‐Yunes, Suheil Albert , Ansell, Stephen M. , Bennani, N Nora, Johnston, Patrick B., Khurana, Arushi , Paludo, Jonas, Bisneto, J. C. Villasboas, Wang, Y, Lin, Yi, Erdman, Arthur G. , Atallah-Yunes, Albert , Durani, Urshila , Wang, Yucai , Erdman, Arthur G , Dingli, David , Corraes, Andre De Menezes Silva , Bennani, N. Nora , Durani, Urshila , Johnston, Patrick B. , Paludo, Jonas , Bisneto, J.C.C. Villasboas, Lin, Yi, Dingli, David

Mayo Clinic

British Journal of Haematology | April 21, 2026 | Volume: 209 | Issue: 1 | Pages: 189-196

10.1111/bjh.70502 | PMID 42011548 Get It

Summary Chimeric antigen receptor T cells directed against CD‐19 are highly effective therapies for various subtypes of B‐cell non‐Hodgkin lymphoma (NHL). We have studied the impact of patient‐specific lymphocyte growth kinetics after lymphoid depletion chemotherapy on both long‐term outcomes and toxicity in patients with diffuse large B‐cell non‐Hodgkin lymphoma (DLBCL). The growth of the lymphocyte populations early after chimeric antigen receptor T‐cell (CAR‐T) therapy is well described by an exponential function and the growth rate of the cells appears to be one of the most critical determinants of overall survival in these patients. The maximum lymphocyte peak and the area under curve for lymphocytes within the first 4 weeks after CAR‐T therapy had no impact on survival. Receiver operator characteristic analysis determined that a replication rate ≥0.3876/day is associated with superior rates of complete response and durable responses. This threshold is associated with higher grades of cytokine release syndrome and the need for tocilizumab. However, patients with this threshold have a median overall survival of 3.04 years compared to 1.035 years for patients with slower lymphocyte replication ( p = 0.0206). The major determinant of depth of response and durability of response to CAR‐T in NHL is the speed of lymphocyte expansion.
Prepregnancy Care and Counseling
Cooper, Kylie , Szymanski, Linda M. , David, Paru S., Allen, Summer V. , Breitkopf, Daniel M. , Cooper, Kylie M

Mayo Clinic

JAMA | April 20, 2026 | Volume: 335 | Issue: 19 | Pages: 1706

10.1001/jama.2026.2888 | PMID 42008245 Get It

Importance Prepregnancy care and counseling optimize maternal health before conception to improve outcomes for mothers and infants. In the US, 66.4% of reproductive-aged women have at least 1 modifiable risk factor for adverse pregnancy outcomes. Observations For all individuals desiring pregnancy, recommended interventions include folic acid supplementation; cessation of tobacco, alcohol, cannabis, and opioids; immunizations against hepatitis B virus, varicella, and rubella; and screening for syphilis and HIV. Folic acid use before pregnancy is associated with reduced fetal neural tube defects (relative risk [RR], 0.67; 95% CI, 0.52-0.87). Maternal tobacco smoking is associated with increased risks of stillbirth (summary RR [sRR], 1.46; 95% CI, 1.38-1.54), neonatal death (sRR, 1.22; 95% CI, 1.14-1.30), and perinatal death (sRR, 1.33; 95% CI, 1.25-1.41). Screening for and treatment of syphilis and HIV prior to and during pregnancy decrease rates of fetal and neonatal infection. Prepregnancy immunizations against hepatitis B virus, varicella, and rubella decrease neonatal infection and mortality. Individuals using tobacco, alcohol, cannabis, and opioids should receive counseling and treatment prior to pregnancy (eg, buprenorphine or methadone for opioid use disorder). For individuals with chronic disease, routine health examinations and contraceptive care in the year before conception can optimize pregnancy timing and are associated with decreased risk of severe maternal morbidity. Compared with planned pregnancies, unintended pregnancies are associated with increased risk of postpartum depression (15.7% vs 9.6%; adjusted odds ratio [aOR], 1.51; 95% CI, 1.40-1.70), preterm birth (9.4% vs 7.7%; aOR, 1.21; 95% CI, 1.12-1.31), and low infant birth weight (7.3% vs 5.2%; aOR, 1.09; 95% CI, 1.02-1.21). Weight loss prior to conception is recommended for individuals with a body mass index of 25 or greater because overweight and obesity are associated with increased risk of gestational diabetes, gestational hypertension, and cesarean delivery. Among patients with pregestational diabetes (type 1 or 2), hemoglobin A 1c of less than 6.5% is associated with a decreased risk of fetal anomaly compared with hemoglobin A 1c of 6.5% or greater. Cardiovascular complications such as hypertension and heart failure occur in 15% of pregnancies and are more common among those with preexisting cardiovascular disease. These patients should receive counseling on maternal and neonatal risk, monitoring, and medication management by specialists in cardiology and maternal fetal medicine. Conclusions and Relevance Prepregnancy counseling and care reduce maternal morbidity and neonatal morbidity and mortality. Primary care–based discussion of reproductive goals, immunizations, screening for infections and substance use, and risk-reducing interventions such as folate supplementation can optimize outcomes in individuals contemplating pregnancy.
A scheduling intervention to increase video visits in family medicine
Matthews, Marc R. , Paul, Margaret M. , Ehman, Katherine M., Capelle, Justin J, Rushlow, David , Pecina, Jennifer , Matthews, Marc R , Paul, Margaret M , Ehman, Katherine M , Rushlow, David R , Pecina, Jennifer L.

Mayo Clinic

Journal of Telemedicine and Telecare | April 20, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1177/1357633x261435252 | PMID 42007804 Get It

Introduction Video visits in primary care have decreased significantly since their surge early in the COVID-19 pandemic. Methods Clinicians including physicians, nurse practitioners, and physician assistants in the Mayo Clinic Department of Family Medicine were invited to dedicate one to two half-days per month exclusively to video visits. Schedules for these half-day sessions remained restricted to video appointments until the day prior. If at least 80% of slots were not filled by then, remaining openings were converted to in-person visits. If the half-day sessions were at least 80% full with video visits, clinicians had the option of performing these sessions remotely. Results Of 155 eligible clinicians, 34 (22%) participated voluntarily in this scheduling intervention. For the participating clinicians, the average video visit rate increased from 6.3% per month preintervention to 11.5% postintervention ( p < 0.001). On a departmental level, the trend line for the percent of outpatient visits via video visit was decreasing by −0.1% per month preintervention. The postintervention slope of the trend line was 0.3% per month ( p < 0.001). The majority (65%) of the time the half-day video visit schedules filled at least 80% and did not require conversion to allow in-person visits allowing clinicians to work remotely if they chose. Conclusion Allowing family medicine clinicians to perform 1–2 half-day schedules dedicated to only video visits increases the percentage of video visit performed per month both for individual clinicians and on a departmental level.
Imaging the later‐life white matter pathologies of repetitive head impacts: A novel pattern revealed through T2 FLAIR MRI
Groh, Jenna R. , Miner, Annalise E., Alshikho, Mohamad J. , Farris, Chad, Cui, Anna, Pettway, Erika, Labonte, Jacob , Mosaheb, Sydney, Tripodis, Yorghos, Adler, Charles H., Balcer, Laura J. , Bernick, Charles, Cantu, Robert C., Dodick, David W., Ashton, Nicholas J., Zetterberg, Henrik, Blennow, Kaj, Peskind, Elaine R. , Nowinski, Christopher, Lenio, Steven, Rabinovici, Gil D., Asken, Breton, Rosen, Howard, Blusztajn, Jan Krzysztof , Budson, Andrew E., Turk, Katherine, Goldstein, Lee, Martin, Brett, Palmisano, Joseph N., Dixon, Diane, Schneider, Greta, Steinberg, Eric G., Su, Yi, Protas, Hillary , Pasternak, Ofer, Bouix, Sylvain, Cummings, Jeffrey L., Reiman, Eric M., Shenton, Martha E., Stern, Robert A., McKee, Ann C., Stein, Thor D., Brickman, Adam M., Mez, Jesse, Alosco, Michael L., Rabinovici, Gil D. , Rabinovici, Gil D , Miner, Annalise E., Farris, Chad W. , Cui, Anna, Pettway, Erika C, Tripodis, Yorghos , Adler, Charles H. , Bernick, Charles , Cantu, Robert C. , Coleman, Michael , Dodick, David W. , Ashton, Nicholas J. , Zetterberg, Henrik , Blennow, Kaj , Ly, Monica T. , Altaras, Caroline , Lenio, Steven , Asken, Breton M. , Cobigo, Yann , Budson, Andrew E. , Turk, Katherine W. , Qiu, Wei Qiao , Palmisano, Joseph , Steinberg, Eric G. , Pasternak, Ofer , Koerte, Inga K , Bouix, Sylvain , Reiman, Eric M. , Shenton, Martha E. , McKee, Ann C. , Stein, Thor D. , Brickman, Adam M. , Mez, Jesse , Alosco, Michael L.

Mayo Clinic

Alzheimer's & Dementia | April 20, 2026 | Volume: 22 | Issue: 4 | Pages: No page available

10.1002/alz.71351 | PMID 42002804 Get It

Abstract INTRODUCTION Repetitive head impacts (RHI) from contact sports may cause a unique pattern of white matter hyperintensities (WMH) on T2‐weighted fluid‐attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI), termed RHI‐associated WMH (RHI‐WMH). These lesions are punctate, circular, and located at the gray–white matter boundary, an area vulnerable to trauma‐related damage. METHODS We investigated the association of RHI with these lesions in two aging cohorts: (1) former American football players versus asymptomatic unexposed men and (2) individuals with RHI from various contact sports versus non‐RHI participants. RHI‐WMH were assessed using visual ratings and a novel automated quantification pipeline. RESULTS Individuals with RHI had greater RHI‐WMH by both detection methods in both cohorts. RHI‐WMH were associated with plasma neurofilament light and p‐tau231, and flortaucipir positron emission tomography (PET) uptake. DISCUSSION RHI‐WMH may represent a new supportive biomarker for the detection of RHI‐related neuropathologies later in life.
Fast Antimicrobial Susceptibility Testing for Gram-Negative Bacteremia
Banerjee, Ritu, Komarow, Lauren , Li, Yixuan, Mau, Donald, Geres, Holly, Greenwood-Quaintance, Kerryl, Adler, Amos , Baliga, S, Chrysos, George , Zarkotou, Olympia , Paul, Mical, Regueiro, Dolores Sousa, Chambers, Henry, Fowler, Vance G., Patel, Robin, Group, Antibacterial Resistance Leadership, Chambers, Henry F. , Cross, Heather, Harris, Anthony D. , Duin, David van, Boucher, Helen W., Huntley, Clayton C., Raterman, Erica L., Samuel, Tamika, Moon, Kyung, Holland, Thomas L., Lodise, Thomas, Shelburne, Samuel A. , Cosgrove, Sara E., Lautenbach, Ebbing , Mehigan, Maureen, Doernberg, Sarah B. , Perdue, Sam, Singh, Tara A. , Wickward, Cathy, Souto, David A., Waller, Jason, Evans, Scott R , Banerjee, Ritu , Dodd, Andrew, Geres, Holly, Greenwood‐Quaintance, Kerryl E. , Baliga, Shrikala , Chowers, Michal , Paul, Mical, Pournaras, Spyros , Fowler, Vance G. , Patel, Robin , Evans, Scott , Hamasaki, Toshimitsu , Pettigrew, Melinda M. , Hanson, Kimberly E. , Doi, Yohei , Holland, Thomas L. , Cosgrove, Sara E. , Paterson, David L.

Mayo Clinic

JAMA | April 18, 2026 | Volume: 335 | Issue: 20 | Pages: 1762

10.1001/jama.2026.5487 | PMID 41999287 Get It

Importance Novel blood culture diagnostics provide rapid antimicrobial susceptibility testing (AST) results for bacteria causing bloodstream infections (BSIs) but have unclear clinical impact. Objective To evaluate clinical outcomes of blood culture testing using a rapid AST method compared with standard AST in patients with BSIs caused by gram-negative bacilli in regions with high prevalence of antimicrobial resistance. Design, Setting, and Participants Open-label randomized clinical trial that enrolled participants from December 2023 to May 2025 (final follow-up, June 18, 2025) at 7 medical centers in Greece (n = 2), India (n = 1), Israel (n = 3), and Spain (n = 1). Hospitalized patients (adults and children) with BSIs caused by gram-negative bacilli were eligible. Statistical analysis was conducted from August 2025 to January 2026. Intervention Patients were randomized to undergo blood culture evaluation using rapid, phenotypic AST directly from positive blood cultures plus standard susceptibility testing (n = 413) vs standard susceptibility testing alone (n = 437). Local antimicrobial stewardship teams reviewed all patients and provided treatment recommendations. Main Outcomes and Measures The primary outcome was a desirability of outcome ranking (DOOR) at day 30, with 3 categories (alive without deleterious events, alive with deleterious events, and death). The difference between rapid and standard testing was summarized as the probability that the DOOR outcomes were more desirable in the rapid testing group. Superiority was concluded if the lower limit of the 95% CI exceeded 50%. Secondary outcomes included 30-day mortality, length of hospitalization, intensive care unit admission, acquisition of hospital-acquired infections, time to effective antibiotic therapy within 3 days, and time to antibiotic escalation or deescalation within 3 days. Results Of the 899 patients randomized, 850 were included in the primary outcome analysis (median [IQR] age, 72 [21] years; 43% female). The probability that DOOR outcomes were more favorable in the rapid testing group was 48.8% (95% CI, 45.3%-52.4%). Median time to effective antibiotic therapy was not different between the groups in the as-randomized population. Median time to antibiotic escalation or deescalation was faster in the rapid testing group by 14 hours (95% CI, 6-22) in the as-randomized population. There were no differences between the groups in other secondary outcomes. In the prespecified subgroup with carbapenem-resistant infections, median time to effective therapy was 9.5 hours in the rapid testing group vs 28 hours in the standard testing group (difference, −18 hours [95% CI, −42 to 6]). Conclusions and Relevance Among patients with gram-negative bacilli BSIs, rapid blood culture AST was not superior to standard testing by DOOR. When considered with other efficacy and safety outcomes, these findings may help inform the use of rapid susceptibility testing in clinical practice. Trial Registration ClinicalTrials.gov Identifier: NCT06174649
Fosmanogepix Treatment for Coccidioidomycosis Under an Expanded Access Program
Cohen, Stuart H. , Allyn, Paul , Rathe, Jennifer , Nanayakkara, Deepa , Hutfles, Gerald, Vijayan, Tara , Smith, Ethan A , Saling, Christopher , Ilges, Dan , Schlamm, Haran T., Thompson, George R. , Rathe, Jennifer , Hutfles, Gerald , Vijayan, Tara , Smith, Ethan A , Ilges, Dan , Thompson, George R , Allyn, Paul R , Chow, Felicia C.

Mayo Clinic

Clinical Infectious Diseases | April 18, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/cid/ciag271 | PMID 42015519 Get It

Abstract Coccidioidomycosis is an invasive fungal infection that can disseminate and cause severe disease. Fosmanogepix (“gepix”), a first-in-class antifungal available via expanded access (NCT06433128), was successful in 8/11 patients (meningitis, 6/8 [75%]; nonmeningeal dissemination, 2/3 [66%]) and was well tolerated for a median treatment duration of 208 days.
Abstract LB390: Genetic risk of prostate cancer: Insights from the Prostate Cancer Sequencing Consortium
Zhang, Yifan , Cheng, Shuyan , Boddicker, Nicholas, Lebo, Matthew , Berry, Alexander S. , Hausler, Ryan , Desai, Heena, Rodriguez, Alex A , Hill, Andrew, Sheng, Xin, Gundell, Susan, Cicek, Mine S., Gignoux, Chris , Garraway, Isla P. , Pasaniuc, Bogdan, Oetjens, Matt, Kibel, Adam S., Kote-Jarai, Zsofia, Couch, Fergus J., Darst, Burcu F., Conti, David V., Haiman, Christopher A., Chen, F Z, Conti, David V. , Conti, David V , Boddicker, Nicholas , Haas, Roni , Dadaev, Tokhir , Desai, Heena , Madduri, Ravi , Sheng, Xin , Lilja, Hans , Melander, Olle , Paşaniuc, Bogdan , Boutros, Paul C. , Oetjens, Matthew T. , Kibel, Adam S. , Klein, Robert J. , Kote‐Jarai, Zsofia , Couch, Fergus J. , Maxwell, Kara N. , Darst, Burcu F. , Haiman, Christopher A.

Mayo Clinic

Cancer Research | April 17, 2026 | Volume: 86 | Issue: 8_Supplement | Pages: LB390-LB390

10.1158/1538-7445.am2026-lb390 Get It

Abstract Inherited susceptibility plays a critical role in prostate cancer (PCa) risk. Using large biobank and case-control datasets, we evaluated the contribution of both common variants and rare germline pathogenic variants (PVs) to overall PCa risk. The Prostate Cancer Exome Sequencing Consortium currently includes 427,388 male participants (51,452 PCa cases and 375,936 controls) with whole-exome sequencing data from ten biobanks and studies: UK Biobank (14,669 cases/195,600 controls), All of Us Research Program (7,577/75,226), African Ancestry Prostate Cancer Consortium (7,176/4,675), Mayo Clinic Biobank (6,031/15,084), Mass General Brigham Biobank (3,393/14,095), Geisinger’s MyCode Community Health Initiative (3,026/15,130), UCLA ATLAS Precision Medicine Biobank (2,850/16,904), Penn Medicine Biobank (2,598/16,255), Colorado Center for Personalized Medicine (2,269/13,399), and Malmo Diet and Cancer (1,863/9,568). Based on self-reported race/ethnicity and estimated genetic ancestry, the cases comprise approximately 79% European, 18% African, and 3% other ancestry populations. Single-variant association analyses tested all variants on chromosomes 1-22 and X with a minor allele count ≥ 5. In gene-based analyses, PVs were defined as rare variants (minor allele frequency [MAF] &lt; 1% in controls) that had either a Variant Effect Predictor (VEP) impact score of “high” or a pathogenic or likely pathogenic ClinVar classification. Associations were estimated using Firth logistic regression, adjusting for age and the top ten genetic principal components. Results from individual studies were combined using fixed-effect meta-analysis. In single-variant association analyses, 496 variants reached genome-wide significance (p&lt;5×10-8; MAF&gt;0.02%). Among these, 458 (92%) variants mapped to previously known risk regions, including three rare PVs in HOXB13 (rs138213197), CHEK2 (rs555607708), and FAM111A (rs533676902). Characterization of the remaining 38 variants is ongoing. Gene-based analyses identified significant associations (p&lt;2.4×10-6) for eight genes: HOXB13 (OR=3.7, 95% CI=3.3-4.2), BRCA2 (OR=2.0, 95% CI=1.7-2.3), CHEK2 (OR=1.6, 95% CI=1.5-1.8), ATM (OR=1.6, 95% CI=1.4-1.9), FAM111A (OR=1.4, 95% CI=1.3-1.5), BIK (OR=1.4, 95% CI=1.2-1.6), SAMHD1 (OR=2.1, 95% CI=1.6-2.7), and SMOC2 (OR=3.2, 95% CI=2.0-5.1). All genes except SMOC2 have been previously implicated in PCa susceptibility. Among cancer predisposition and DNA repair genes, nominal associations were also observed for XRCC2 (OR=1.6, 95% CIs=1.2-2.3) and BRCA1 (OR=1.2, 95% CI=1.0-1.4), whereas the association was not significant for PALB2 (OR=1.2, 95% CI=0.9-1.5). These findings reinforce the role of rare germline PVs, particularly in cancer predisposition and DNA repair genes, in PCa susceptibility. As additional studies are incorporated into the Consortium, we expect this work to provide a more comprehensive characterization of the genetic architecture of PCa. Citation Format: Yifan Zhang, Shuyan Cheng, Nicholas Boddicker, Matthew Lebo, Alexander S. Berry, Roni Haas, Ryan Hausler, Tokhir Dadaev, Heena Desai, Alex A. Rodriguez, Ravi K. Madduri, Andrew Hill, Xin Sheng, Susan M. Gundell, Mine Cicek, Penn Medicine Biobank, Olle Melander, Chris R. Gignoux, Isla P. Garraway, Bogdan Pasaniuc, Paul C. Boutros, Matt Oetjens, Adam S. Kibel, Robert J. Klein, Zsofia Kote-Jarai, Fergus J. Couch, Kara N. Maxwell, Burcu F. Darst, David V. Conti, Christopher A. Haiman, Fei Chen. Genetic risk of prostate cancer: Insights from the Prostate Cancer Sequencing Consortium [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(8_Suppl):Abstract nr LB390.
Abstract LB196: Fluorinated cuban-1-yl biguanides overcome hormone therapy resistance to standard of care fulvestrant, and palbociclib
Guo, Zhijun , Lei, Jianxun, Wells, Christian T., Makovec, Allison M., Yates, Andrew C., Hawse, John R. , McCarra, Joshua, Cao, Qing, Pryzbilla, Michael J., Koniar, Brenda, Norris, Beverly, Florey, Craig M., Schumacher, Robert J., Schwertfeger, Kaylee L., Ambrose, Elizabeth A., Wong, Henry, D'Assoro, Antonino, Goetz, Matthew P., Makovec, Allison , Jayaraman, Swaathi , Cao, Qing , Farrar, Michael A. , Schwertfeger, Kaylee, Ambrose, Elizabeth A. , Georg, Gunda I. , D’Assoro, Antonino B. , Goetz, Matthew P. , Potter, David A.

Mayo Clinic

Cancer Research | April 17, 2026 | Volume: 86 | Issue: 8_Supplement | Pages: LB196-LB196

10.1158/1538-7445.am2026-lb196 Get It

Abstract Introduction: Epoxy fatty acid (EpFA) mechanisms of hormone therapy resistance (HTR) in ER+HER2- breast cancer (BC) are poorly understood. EETs are EpFAs that contribute to BC progression and HTR by promoting oxidative phosphorylation (OXPHOS). However, it remains unclear how EETs contribute to HTR. In this study, two fulvestrant resistant (FR) subclones of the letrozole resistant (LR) MCF-7AC1 line were isolated (termed LR/FR) and were incidentally resistant to the CDKi palbociclib (PR) (termed MCF-7AC1 LR/FR/PR or multiply resistant - MCF-7AC1 MR). These HTR cell lines exhibited CYP3A4 upregulation (2.3- to 4.3-fold) and increased cellular (±)14,15-EET levels, which were suppressed by biguanide treatment (P&lt;0.05). Structure activity studies led to the design of hexyl cuban-1-yl biguanide (HCB) and fluorinated HCB derivatives C5F2-HCB and C6F3-HCB, which inhibited CYP3A4-mediated EET biosynthesis and growth of the HTR lines. HCB fluorination improved pharmacokinetics (PK) and toxicity. Methods: HCB and fluorinated HCBs were tested for impact on EET biosynthesis, OXPHOS, PK, and growth inhibition and reversal of hypoxia in the MCF-7AC1 MR tumor model. Results: Fulvestrant selection for MCF-7AC1 MR cell lines resulted in undetectable cyclin D1 and estrogen receptor (ERα) expression, while cyclin E1, CDK4, CDK6, CYP3A4, and c-MYC were upregulated (P&lt;0.001). MCF-7 MR cells demonstrated 1.8, 1.4, and 1.2- fold higher levels of (±)8,9, (±)11,12, and (±)14,15-EET compared to parental MCF-7 cells (P&lt;0.05). The most potent fluorinated HCB, C6F3-HCB, suppressed cellular levels of (±)8,9-EET, (±)11,12-EET, and (±)14,15-EET by 53-60% (P&lt;0.029). The MCF-7AC1 MR cells were more potently inhibited by HCBs and fluorinated derivatives compared to the MCF-7 cell line. Comparing an MCF-7 MR line vs. MCF-7, HCB exhibited IC50 values of 4.1 vs. 7.0 uM, C5F2-HCB 10 vs. 25 uM, and C6F3-HCB 5.4 vs. 12 uM (P values all &lt;0.05). C5F2-HCB exhibited the best PK and treatment of the MCF-7AC1 MR xenograft model showed reversal of hypoxia (P&lt;0.05) and transient inhibition by C5F2-HCB (P=0.025 at 20 days). P/F also transiently inhibited this model (P=0.006 at 20 days). C5F2-HCB and P/F showed synergy in vitro (CI=0.46) leading to testing of C5F2-HCB/P/F in vivo enabled by acceptable toxicity of the triplet in mice. This combination showed synergy in vivo vs. standard of care palbociclib/fulvestrant by nonparametric statistical tests (Mann Whitney; P=0.0389; Kolmogorov-Smirnov; P=0.0473), providing a pathway for possible clinical development of the combination. Conclusions: MR BC cell lines exhibit upregulation of CYP3A4 and biosynthesis of EETs, indicating a role for EETs in HTR. The C5F2-HCB/P/F exhibits activity against the highly resistant MCF-7 MR xenograft with acceptable toxicity indicating an avenue for clinical development. Citation Format: Zhijun Guo, Jianxun Lei, Christian T. Wells, Allison M. Makovec, Andrew C. Yates, Swaathi Jayaraman, John R. Hawse, Joshua A. McCarra, Qing Cao, Michael J. Pryzbilla, Brenda L. Koniar, Beverly J. Norris, Craig M. Florey, Robert J. Schumacher, Michael A. Farrar, Kaylee L. Schwertfeger, Elizabeth A. Ambrose, Henry Wong, Gunda I. Georg, Antonino D'Assoro, Matthew P. Goetz, David A. Potter. Fluorinated cuban-1-yl biguanides overcome hormone therapy resistance to standard of care fulvestrant, and palbociclib [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(8_Suppl):Abstract nr LB196.
Abstract PL03-03: Real-time multimodal AI enables individualized care in challenging subpopulations
Saria, Suchi, Prasad, Varesh , Beebe-Wang, Nicasia , Zhang, Ellie, Cohen, Neri, Graham, David, Morrison, James, Strand, Jacob, Tallman, Alexandra, Saria, Suchi , Gleber, Conrad D.

Mayo Clinic

Cancer Research | April 17, 2026 | Volume: 86 | Issue: 8_Supplement | Pages: PL03-03-PL03-03

10.1158/1538-7445.am2026-pl03-03 Get It

Abstract Real-time, proactive detection has become a necessity as health systems face converging pressures that legacy tools cannot solve: rising acuity, workforce strain, and persistent quality gaps that erode margins, capacity, and reputation. Clinical decision support has historically lagged because rudimentary rules-based systems drown clinicians in false alerts, eroding trust without reliably changing outcomes at the bedside. Bayesian Health’s real-time clinical intelligence platform was built to close this gap by continuously synthesizing multimodal EHR data (vitals, labs, medications, procedures, and longitudinal history) to learn patient-specific baselines and surface only the most actionable, high-precision signals to care teams. Across diverse health systems, this platform has been used to enable earlier recognition and intervention for a range of high-impact conditions, improving both bedside care and system performance. This talk will focus on concrete, real-world applications of the platform for sepsis, clinical deterioration, and palliative care needs, illustrating how earlier detection and workflow-integrated interventions drive measurable gains in clinical outcomes and margins, and why the value of early, precise detection is amplified in high-risk populations such as oncology patients, whose higher baseline acuity and treatment-related toxicities both elevate their risk of harm and make emerging deterioration harder to recognize. Case Study: Detecting Sepsis within a Oncology Patient Subpopulation. Background: Sepsis remains one of the leading causes of in-hospital mortality, and traditional rules-based alerts have struggled to deliver timely, actionable detection without overwhelming clinicians with false alarms. Oncology patients experience an elevated risk for sepsis and septic shock, and those who experience sepsis are more likely to suffer in-hospital mortality than non-cancer patients with sepsis. Early recognition of sepsis onset is challenging due to the overlap between signs of sepsis and inflammation and tumor- and treatment-related toxicities. We investigated the ability of Bayesian Health’s real-time artificial intelligence-based computational algorithm to perform timely detection of sepsis onset in hospitalized patients with cancer. This algorithm ingests data directly from the electronic health record, such as vital signs, laboratory results, medications, procedures, and patient-specific historical results, processing it in a continuous manner to flag presence of sepsis as early as possible. Methods: Analysis included 7480 adult emergency and inpatient encounters from three tertiary and quaternary academic centers (Cleveland Clinic Main Campus, Sinai Hospital of Baltimore, and Strong Memorial Hospital) and one community hospital (Cleveland Clinic Fairview Hospital) with sufficient data for inclusion (age ≥ 18, presence in an emergency or inpatient care unit, and at least one measurement of a panel of vital signs). Patients with cancer (including subgroups of solid tumor and hematologic malignancy) were identified by current or past recorded diagnoses (ICD-10 codes). All included patient records underwent a multi-tiered retrospective adjudication process. An automated screen labeled records with no evidence of infection or organ dysfunction as non-sepsis, removing them from need for manual review. Two independent physicians then adjudicated a sample of the eliminated records in addition to each remaining record for both presence of sepsis and time of onset, with a third physician reconciling disagreements. Evaluation of the algorithm included all discrete flags generated by the system during a period of time it was not in clinical use and not visible to care teams. Results: In the overall population, 3.1% of all patients and 6.0% of cancer patients were adjudicated to have had sepsis, including zero from a sample of 200 of the records marked as non-sepsis in automated screening. The detection algorithm identified sepsis with high and consistent accuracy across all patients and across cancer patients, including those with solid tumors and with hematologic malignancies (Table). A flag for sepsis occurred in 85.8% of all sepsis patients and 86.1% of cancer patients with sepsis within 4 days of sepsis onset. Sepsis was present in 24.2% of all cancer patients flagged (22.9% of solid tumor patients and 27.9% of hematologic malignancy patients). Compared to patients who were never flagged, all patients who were flagged, whether they had sepsis or not, were more likely to experience in-hospital mortality (7.9% vs 0.3%, p &lt; 0.001) or ICU transfer (38.2% vs 7.9%, p &lt; 0.001). This was also true within oncology patients (in-hospital mortality: 8.8% vs 0.4%, p &lt; 0.001; ICU transfer: 34.7% vs 9.7%, p &lt; 0.001). Implementation of an automated sepsis detection system with high accuracy in populations such as cancer patients, who have elevated risk of poor outcomes following sepsis, provides an opportunity to meaningfully improve timely delivery of care and reduce subsequent morbidity and mortality while minimizing alert fatigue for clinicians. Citation Format: Suchi Saria, Varesh Prasad, Nicasia Beebe-Wang, Ellie Zhang, Neri Cohen, David Graham, Conrad Gleber, James Morrison, Jacob Strand, Alexandra Tallman. Real-time multimodal AI enables individualized care in challenging subpopulations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(8_Suppl):Abstract nr PL03-03.