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4201 citation(s) found for "Chen, C".

NCCN Guidelines® Insights: Breast Cancer, Version 5.2025
Gradishar, William J. , Moran, Meena S. , Abraham, Jame , Aft, Rebecca , Allison, Kimberly H. , Anderson, Bethany , Bailey, Janet E., Burstein, Harold J. , Chen, Nan , Chew, Helen K. , Dang, Chau T. , Jankowitz, Rachel C. , Javid, Sara H. , Leitch, A. Marilyn , Lyons, Janice A., McCloskey, Susie, McShane, Melissa , Patel, Sameer A. , Santa‐Maria, Cesar A. , Schneider, Bryan P. , Smith, Mary Lou , Stringer-Reasor, Erica , Telli, Melinda L. , Wei, Mei , Wisinski, Kari B. , Yellala, Amulya, Schonfeld, Ryan, Kumar, Rashmi , Telli, Melinda L , Abramson, Vandana G. , Agnese, Doreen Marie , Elias, Anthony , Giordano, Sharon H. , Goetz, Matthew P. , Krishnamurthy, Jairam , Mortimer, Joanne , Rosenberger, Laura H. , Rugo, Hope S. , Santa-Maria, Cesar Augusto , Soliman, Hatem Hussein , Yeung, Kay T. , Young, Jessica S.

Mayo Clinic

Journal of the National Comprehensive Cancer Network | November 10, 2025 | Volume: 23 | Issue: 11 | Pages: 426-436

10.6004/jnccn.2025.0053 | PMID 41213254 Get It

The treatment landscape of invasive early-stage and metastatic breast cancer is evolving constantly. These NCCN Guidelines Insights focus on recent updates included in the most recent version (version 5.2025) of the NCCN Guidelines for Breast Cancer specific to workup, locoregional therapy, surveillance, and systemic neoadjuvant/adjuvant therapy recommendations for invasive, nonmetastatic breast cancer.
Whole-Exome Sequencing-Based Linkage Analysis of Multiple Myeloma (MM) and Monoclonal Gammopathy of Undetermined Significance (MGUS) Pedigrees
Camp, Nicola J. , Wei, Xiaomu , Earle, Angel, Norman, Aaron D. , Sinnwell, Jason P. , Demangel, Delphine , Griffin, R. L. , McKay, James , Offit, Kenneth , Vijai, Joseph , Chen, Siwei , O’Brien, Daniel , Klein, Robert J. , Kumar, Shaji, Lipkin, Steven M. , Vachon, Celine M. , Waller, Rosalie G. , Clay-Gilmour, Alyssa I, Camp, Nicola J , Norman, Aaron D , Sinnwell, Jason P , Griffin, Rosalie , Offit, Kenneth , Joseph, Vijai , Rajkumar, Vincent, Klein, Robert , Lipkin, Steve , Waller, Rosalie G , Clay‐Gilmour, Alyssa , Dumontet, Charles , Rajkumar, S. Vincent , Kumar, Shaji , Vachon, Celine M.

Mayo Clinic

Cancers | November 10, 2025 | Volume: 17 | Issue: 22 | Pages: 3611

10.3390/cancers17223611 | PMID 41300981 Get It

Background/Objectives: Family history is a known risk factor for multiple myeloma (MM) and its precursor condition, monoclonal gammopathy of undetermined significance (MGUS). Previous genome-wide association studies (GWASs) have identified 35 common loci associated with MM risk and 21 associated with MGUS. The objective of this study was to identify less common and rare genetic loci predisposing to MM/MGUS through whole-exome sequencing (WES)-based linkage analysis. Methods:Multipoint linkage analysis was conducted using the Multipoint Engine for Rapid Likelihood Inference (MERLIN) with the Lander–Green algorithm on germline WES data from 79 pedigrees with 2 or more affected relatives (120 MM, 86 MGUS, and 21 unaffected). Genome-wide linkage was evaluated using 12,946 independent single-nucleotide variants (linkage disequilibrium r2 < 0.05). Results: Significant linkage was observed at chromosome 6q22.33–q24.2 by the non-parametric model (logarithm-of-odds (LOD) = 3.3) and suggestive linkage by the dominant parametric model (heterogeneity LOD (HLOD) = 2.5). Fourteen rare variants within this region were prioritized using family-specific partial LOD scores and in silico functional prediction tools. Nine of these variants, REPS1, THEMIS, TAAR6, AHI1, VNN1, VNN3, MTFR2/FAM54A, LAMA2, and PHACTR2, overlapped immune-regulatory regions in blood cell lines and were not previously identified in GWASs. Conclusions: This study demonstrates the utility of applying a linkage analysis framework to familial WES data for identifying genomic regions and candidate genes that may contribute to MM/MGUS predisposition. These findings provide new insight into the inherited risk and etiology of familial MM and MGUS.
The validation of histological criteria from the IAIH‐PG to distinguish AIH from drug‐induced liver injury
Ma, Zikun , Wang, Li , Liu, Jimin , Saxena, Romil , Chen, Zongming , Zhang, Xuchen , Wang, Hanlin, Vij, Mukul , Komuta, Mina , Soon, Gwyneth Shook Ting , Zheng, Wei , Zhang, Jiping , Wang, Bin , Zhao, Xinyan , Soon, Gwyneth S T , Li, Min , Yang, Yongfeng , Zhao, Xinyan , Chen, Zongming Eric , Saxena, Romil , Zhang, Jiping

Mayo Clinic

Histopathology | November 10, 2025 | Volume: 88 | Issue: 3 | Pages: 636-647

10.1111/his.70027 | PMID 41207798 Get It

Background and aims To validate the applicability of the new histological criteria for autoimmune hepatitis (AIH) proposed by the International AIH Pathology Group (IAIH‐PG) among Chinese patients with AIH and drug‐induced liver injury (DILI). Methods The gold standard for diagnosis relied on clinical response: discontinuing treatment without relapse supported DILI, while relapse or ongoing immunosuppressive treatment confirmed AIH. This two‐centre retrospective cohort study included inpatients with DILI or AIH from January 2002 to March 2023. Cases that underwent liver biopsy were selected according to inclusion and exclusion criteria. The diagnostic performance of the criteria was assessed by an area under the receiver operating characteristic curve (AUROC). Results Out of 69 patients: AIH (41, 59%) and DILI (28, 41%). The accuracy, sensitivity and specificity of the new histological criteria for likely and possible AIH were 70%, 98% and 29%, respectively, with an AUROC of 0.8236 [95% confidence interval (CI): 0.7533–0.8938]. For likely AIH, the accuracy, sensitivity and specificity were 73%, 61% and 89%, respectively, with an AUROC of 0.9177 [95% CI: 0.8757–0.9596]. Moreover, for possible AIH, significant differences were found in serum alanine aminotransferase levels [178.4 (87.0, 435.0) versus 536.5 (206.9, 930.4) U/L] and antinuclear antibody (ANA) ≥1:160 [10 (67%) versus 1 (6%)], as well as in lobular lymphoplasmacytic infiltrate [15 (100%) versus 12 (71%)] and more than mild inflammation [13 (87%)versus 6 (35%)] between AIH and DILI (all P values were <0.05). Conclusion The new histological criteria exhibit good diagnostic efficacy in distinguishing AIH from DILI in China, with high AUROC. Key discriminators include low aminotransferase, ANA ≥1:160, lobular lymphoplasmacytic infiltrate and more than mild inflammation, which may further improve diagnostic accuracy for AIH.
Left ventricular filling pressure by artificial intelligence-enabled electrocardiogram, echocardiography, and cardiac catheterization
Tsaban, Gal , Miranda, William R. , Kane, G C, Chen, H H, Deshmukh, A J, ASIRVATHAM, SAMUEL, Gulati, R, Friedman, Paul A. , Oh, J K, Kane, Garvan C. , Lee, E, López-Jiménez, Francisco , Asirvatham, Samuel J. , Noseworthy, Peter A. , Attia, Zachi I.

Mayo Clinic

European Heart Journal | November 8, 2025 | Volume: 46 | Issue: Supplement_1 | Pages: No page available

10.1093/eurheartj/ehaf784.1052 Get It

Abstract Background Elevated left ventricular filling pressure (LVFP) is associated with an increased risk of heart failure and mortality. Pulmonary artery wedge pressure (PAWP) is considered the gold standard for assessing LVFP. Recently, we validated an artificial intelligence-enabled electrocardiogram (AI-ECG) to assess LV diastolic function (LVDF) and LVFP. Herein, we compare AI-ECG with PAWP in predicting long-term mortality. Methods We included adults who had comprehensive echocardiography with available ECG within 14-days and right-heart-catheterization (RHC) within 30-days of echocardiography. Elevated-LVFP was defined as PAWP&gt;15 mmHg by RHC, grades 2-3 LVDF by echocardiography, or as adjudicated by the AI-ECG algorithm. Prognosis by AI-ECG was compared to that by echocardiography and PAWP. Results Among 4,168 patients (median age 64 years, 47.7% female), 1,841 had normal-LVFP, and 2,327 had elevated-LVFP by RHC. Echocardiography classified 1,502 patients as normal-LVFP, 1,643 as elevated-LVFP, and 1,023 as indeterminate-LVFP. AI-ECG demonstrated an area-under-the-curve of 0.879 (95%-confidence-interval 0.867-0.891) for predicting elevated-LVFP as determined by echocardiography and 0.742 (95%-confidence-interval 0.724-0.759) for predicting elevated-LVFP as determined by RHC. Over a median follow-up of 7.7 years, 2,735 (34.4%) patients died. In multivariable models, elevated-LVFP by any modality was associated with an increased risk of death (AI-ECG: adjusted-hazard-ratio 1.80, 95% confidence-interval 1.55-2.09; echocardiography: adjusted-hazard-ratio 1.74, 95% confidence-interval 1.51-2.02; PAWP: adjusted-hazard-ratio 1.26, 95% confidence-interval 1.11-1.43). AI-ECG-derived LVFP provided incremental prognostic discrimination compared to echocardiography- or RHC-derived LVFP. Conclusions AI-ECG-derived LVFP offers an accessible, affordable, and noninvasive alternative for detecting elevated LVFP, with potential independent prognostic value beyond traditional echocardiographic and invasive assessments.Survival across LVFP concordance
Different diabetes types and pancreatic ductal adenocarcinoma: a Mendelian randomization and pathway/gene-set analysis
Zhang, Ting , Mohindroo, Chirayu , Wang, Xiaoyu , Dutta, Diptavo , Liu, Jia , Katta, Shilpa, Li, Shengchao A. , Wang, Jiahui , Antwi, Samuel O. , Bracci, Paige M. , Du, Mengmeng, Gallinger, Steven , Goodman, Phyllis J. , Katzke, Verena, Patel, Alpa V. , Visvanathan, Kala , Andreotti, Gabriella , Brennan, Paul , Buring, Julie E. , Chanock, Stephen J., Chen, Yu , Giovannucci, Edward L. , Haiman, Christopher A. , Hassan, Manal M. , Holly, Elizabeth A., Jones, Miranda R. , Kraft, Peter, Kurtz, Robert C. , Ng, Kimmie , Oberg, Ann L. , Peters, Ulrike , Rabe, Kari G. , Rothman, Nathaniel , Sesso, Howard D. , Yuan, Chen, Wolpin, Brian M. , Yu, Kai , Stolzenberg‐Solomon, Rachael Z. , Mohindroo, Chirayu , Wang, Xiaoyu , Dutta, Diptavo , Liu, Jia , Li, Shengchao A , Antwi, Samuel O , Arslan, Alan A , Beane Freeman, Laura E , Canzian, Federico , Du, Mengmeng , Goodman, Phyllis J , Katzke, Verena , Kooperberg, Charles , Marchand, Loïc Le , Neale, Rachel E , Perdomo, Sandra , Shu, Xiao-Ou , Visvanathan, Kala , Van Den Eeden, Stephen K , White, Emily E. , Zheng, Wei , Albanes, Demetrius , Andreotti, Gabriella , Brennan, Paul , Buring, Julie E , Chanock, Stephen Jacob , Chen, Yu , Darst, Burcu F , Ferrari, Pietro , Giovannucci, Edward L , Goggins, Michael G , Haiman, Christopher A , Hassan, Manal M , Hung, Rayjean J , Jones, Miranda R , Kraft, Peter , Malats, Nuria , Moore, Steven C , Ng, Kimmie , Oberg, Ann L , Orlow, Irene , Peters, Ulrike , Porta, Miquel , Chaffee, Kari G. , Sánchez, Maria-Jose , Sesso, Howard D , Southey, Melissa C , Um, Caroline Y , Yarmolinsky, James , Yu, Herbert , Yuan, Chen , Zhong, Jun , Wolpin, Brian M , Risch, Harvey A , Amundadottir, Laufey , Klein, Alison P , Yu, Kai , Zhang, Haoyu , Stolzenberg-Solomon, Rachael , Zhang, Ting , Hua, Xing , Arslan, Alan A. , Freeman, Laura E. Beane , Canzian, Federico , Kooperberg, Charles , Marchand, Loı̈c Le , Neale, Rachel Ε. , Zheng, Wei , Albanes, Demetrius , Bamlet, William R. , Darst, Burcu F. , Goggins, Michael , Hung, Rayjean J. , Malats, Núria , Moore, Steven C. , Orlow, Irene , Porta, Miquel , Sánchez, María‐José , Silverman, Debra T. , Southey, Melissa C. , Um, Caroline Y. , Yu, Kai , Risch, Harvey A. , Ámundadóttir, Laufey T. , Klein, Alison P.

Mayo Clinic

JNCI: Journal of the National Cancer Institute | November 8, 2025 | Volume: 118 | Issue: 3 | Pages: 437-447

10.1093/jnci/djaf308 | PMID 41206949 Get It

Abstract Background The associations between different types of diabetes, characterized by distinct pathophysiology and genetic architecture, and pancreatic ductal adenocarcinoma (PDAC) risk are not understood. Methods We investigated associations of genetic susceptibility to type 2 diabetes (T2D), 8 T2D mechanistic clusters, type 1 diabetes (T1D), and maturity-onset diabetes of the young (MODY) with PDAC risk. We used genome-wide association study (GWAS) summary-level statistics for T2D (242 283 cases, 1 569 734 controls), T1D (18 942 cases, 501 638 controls), and PDAC (10 244 cases and 360 535 controls) in individuals of European ancestry. Results Two-sample Mendelian randomization (MR) using the Robust Adjusted Profile Score (MR-RAPS) method indicated that genetically predicted T2D was associated with PDAC risk (OR = 1.10; 95% CI = 1.05 to 1.15), particularly the T2D obesity (OR = 1.28; 95% CI = 1.15 to 1.42) and lipodystrophy (OR = 1.25; 95% CI = 1.03 to 1.51) clusters. No association was observed for T1D with PDAC risk (OR = 1.01; 95% CI = 0.99 to 1.02). Pathway/gene-set analysis using the summary-based Adaptive Rank Truncated Product (sARTP) method revealed a significant association between the MODY gene-sets and PDAC risk (P = 1.5 × 10−8), which remained after excluding 20 known PDAC GWAS loci (P = 7.6 × 10−4). HNF1A, FOXA3, and HNF4A were the top contributing genes after excluding the previously identified GWAS loci regions. Conclusions Our results from this genetic association study support that T2D, particularly the obesity and lipodystrophy mechanistic clusters, and MODY genomic susceptibility regions play a role in the etiology of PDAC.
Pathogenic PF4/Polyvinylsulfonate ELISA-negative Antibodies in HIT
Kanack, Adam J. , Splinter, Noah P., Mauch, Emily, Gil, Morayma Reyes , Jasra, Sakshi , Goodwin, Andrew , Smock, Kristi J. , Ahmad, Hadiyah, Ashrani, Aneel A. , Robinson, Nathaniel L. , Jones, Curtis G., Pechauer, Shannon M., yttre, erin , Aster, Richard H. , Kohlhagen, Mindy , Leger, Rachel, Murray, David, Zhou, Lu , Wang, Demin , Wen, Renren , Pruthi, Rajiv K. , Padmanabhan, Anand , Mauch, Emily E, Tefera, Leben, Kohlhagen, Mindy C, Leger, Rachel R, Wang, Demin , Tefera, Leben T. , Ahmad, Hadiyah, Casanegra, Ana I. , Jones, Curtis G., Chen, Dong

Mayo Clinic

No container title available | November 6, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1101/2025.10.29.25338884 | PMID 41282766 Get It

ABSTRACT BACKGROUND Platelet factor 4-polyanion enzyme-linked immunosorbent assays (ELISAs) are considered highly sensitive for diagnosing heparin-induced thrombocytopenia (HIT), such that current practice guidelines recommend use of ELISA-negative results to exclude HIT. Once HIT is ruled out, alternative, non-heparin-based anticoagulant treatments are ceased, and heparin reintroduction frequently occurs. METHODS Antigen-based and PF4-dependent functional testing were used to study PF4/polyvinyl sulfonate ELISA-negative platelet-activating antibodies in HIT-suspected patients and mice immunized with PF4/heparin. RESULTS Three patients with clinical presentations consistent with HIT tested negative in an ELISA using PF4-polyvinylsulfonate (PF4/PVS), an antigenic target very commonly used for HIT antibody detection. All three patients demonstrated PF4-dependent platelet activation in functional testing that was sensitive to blockade of platelet FcγRIIa receptors and inhibited by high concentrations of heparin, consistent with pathogenic HIT antibodies. Functional testing-based screening of 500 ELISA-negative patients identified three patients whose sera activated platelets in a PF4- and FcγRIIa-dependent manner, and had clinical histories consistent with HIT. Five of the six ELISA-negative HIT patients were re-exposed to heparin, which precipitated a decrease in platelet counts in all re-exposed patients, and one patient developed a new thrombus. To advance the study of ELISA-negative HIT antibodies, mice were immunized with PF4/heparin, and functional and antigenic assays were simultaneously used to successfully identify an ELISA-negative, PF4-dependent platelet-activating murine monoclonal antibody that recapitulated the serological characteristics of ELISA-negative HIT patients. CONCLUSIONS Recognition of ELISA-negative HIT is critical to avoid harm due to the cessation of alternative anticoagulation therapy and re-exposure of these patients to heparin.
Shape analysis of the amygdala, hippocampus and thalamus in former American football players
John, Omar , Wickham, Alana, Jung, Leonard , Mirmajlesi, Anya S, Stearns, J. W. , Breedlove, Katherine M. , Billah, Tashrif , Pasternak, Ofer , Chamaria, Arushi , Bernick, Charles , Balcer, Laura J. , Rushmore, R. Jarrett , Alosco, Michael L. , Lin, Alexander , Cummings, Jeffrey L., Reiman, Eric M. , Arciniega, Hector , Su, Yi, Chen, Kewei, Protas, Hillary, Boker, Connie, Alosco, Michael L, Au, Rhoda, Cantu, Robert C, Farrer, Lindsay, Helm, Robert, Katz, Douglas I, Kowall, Neil, Mez, Jesse, Mercier, Gustavo, Otis, James, Weller, Jason, Simkin, Irene, Andino, Alondra, Conneely, Shannon, Diamond, Courtney, Fagle, Tessa, Haller, Olivia, Hunt, Tennyson, Gullotti, Nicole, Mariani, Megan, Mayville, Brian, McLaughlin, Kathleen , Nanna, Mary, Platt, Taylor, Rice, Fiona, Sestak, Madison, Annis, Douglas S. , Dixon, Diane, Finney, Carolyn, Gallagher, Kerrin, Hartlage, Kaitlin , Martin, Brett, Palmisano, Joseph , Pine, Brittany, Fitzsimmons, Jennifer, Pasternak, Ofer, Arcinieago, Hector, Coello, Eduardo , Coleman, Michael J. , Jung, Leonhard, Liao, Huijun, Loy, Maria, Rizzoni, Elizabeth, Schultz, Vivian , Silva, Annelise, Vessey, Brynn, Banks, Sarah J. , Ritter, Aaron, Cruz, Raelynn de la, Durant, Jan, Golceker, Morgan, Harmon, Nicolette, Kaylegian, Kaeson, Long, Rachelle, Nance, Christin, Sandoval, Priscilla, Serrano, Andrew, Falk, Bryce W., Duffy, Amy, Howard, Marci, Montague, Michelle , Osgood, Thomas, Babcock, Debra, Marmar, Charles R. , Hasanaj, Lisena, Serrano, Liliana , Al-Kharafi, Alhassan, George, Allan , Martin, Sammie, Runge, William, Peskind, Elaine R. , Colasurdo, Elizabeth A. , Marcus, Daniel S., Gurney, Jenny , Greenwald, Richard M., Johnson, Keith A, Jung, Leonard B , Stearns, Jared , Breedlove, Katherine , Tripodis, Yorghos , Adler, C H , Alosco, Michael L , Koerte, Inga K , Arciniega, Hector , Kim, Nicholas , Daneshvar, Daniel H. , Coleman, Michael , Tripodis, Yorghos , Adler, Charles H. , Stern, Robert A. , Shenton, Martha E. , Bouix, Sylvain , Su, Yi, Chen, Kewei, Alosco, Michael L., Au, Rhoda, Cantu, Robert C. , Mez, Jesse, Weller, Jason , Simkin, Irene, Fagle, Tessa, Pulukuri, Surya Vamsi , McClean, Michael D , Annis, Douglas, Chaisson, Christine E. , Finney, Carolyn, Lü, Jun , Ojo, Emmanuel, Ramachandran, Janani , Bonke, Elena M. , Wiegand, Tim L. T. , Miller, Jason Rafe , Sabbagh, Marwan Noel , II, Robert W. Turner , Marek, Kenneth , Dodick, David W. , Geda, Yonas E. , Wethe, Jennifer V. , Falk, Bryce, Montague, Michelle, Bellgowan, Patrick S.F. , Barr, William , Goldberg, Judith D. , Wısnıewskı, Thomas , Kirov, Ivan I. , Lui, Yvonne W. , George, Allan, Riley, Edward P. , Cummings, Jeffrey L. , Johnson, Keith A.

Mayo Clinic

Brain Communications | November 6, 2025 | Volume: 7 | Issue: 6 | Pages: No page available

10.1093/braincomms/fcaf440 | PMID 41277896 Get It

Abstract Repetitive head impacts are common in contact and collision sports and are linked to structural brain changes and an elevated risk of neurodegenerative diseases such as Chronic Traumatic Encephalopathy. Identifying early in vivo structural markers remains challenging. Although diagnosis currently requires post-mortem confirmation, clinical symptoms, including cognitive impairment and behavioural changes, are reflected in the diagnosis of Traumatic Encephalopathy Syndrome. These symptoms align with dysfunction in key brain regions—amygdala, hippocampus and thalamus—which support memory, emotion and behaviour and commonly show tau pathology in Chronic Traumatic Encephalopathy. This study uses shape analysis to examine structural differences in these regions between former American football players and unexposed asymptomatic controls and evaluates the influence of age, head impact exposure and clinical diagnosis on brain structure. We analyzed brain morphology in former American football players (n = 163) and unexposed, asymptomatic controls (n = 53). Structural segmentation was performed with FreeSurfer 7.1, and the shape analysis pipeline was used to generate subregional reconstructions. Vertex-level morphometry, based on the logarithm of the Jacobian determinant and radial distance, quantified local surface area dilation and thickness. Group differences were examined with covariate-adjusted linear regression models contrasting football players and controls, as well as participants with and without a Traumatic Encephalopathy Syndrome diagnosis. Partial correlations examined the influence of age, age of first football exposure and cumulative head impact index metrics, including frequency, linear acceleration and rotational force. Models were adjusted accordingly for age, body mass index, education, race, imaging site, apolipoprotein ϵ4 status and total intracranial volume. Former football players exhibited bilateral surface area contractions in the hippocampus and amygdala, along with reduced amygdala thickness, compared to controls. Older age was associated with widespread surface contractions and thinning across all regions, except for preserved thickness in the left hippocampus. An earlier age of first exposure to football correlated with surface contractions in the thalamus and left hippocampus. Greater cumulative linear acceleration was linked to bilateral hippocampal surface contractions and reduced thickness in the left thalamus, while greater rotational force exposure was associated with hippocampal thinning. No significant structural differences were found between players with and without a diagnosis of Traumatic Encephalopathy Syndrome. These findings extend volume-based research by revealing localized alterations in surface area dilation and thickness and emphasize the roles of age and repetitive head impact exposure in long-term brain changes.
Semaglutide and diabetic retinopathy: an OHDSI network study
Cai, Cindy X. , Hribar, Michelle R. , Wang, Sophia Y. , Swaminathan, Swarup S. , Flowers, Alexis , Brown, Eric N. , Chen, John J. , Chen, Aiyin , Alshammari, Thamir , Falconer, Thomas , Martin, Benjamin , Westlund, Erik , Mathioudakis, Nestoras , Fan, Ruochong, Stocking, Jacqueline C. , Humes, Izabelle, McCoy, David , Adibuzzaman, Mohammad, Areaux, Raymond G. , Brash, James T., Morgan‐Cooper, Hannah, Desai, Priya , Rustam, Zainab, Zhu, Gu , Swerdel, Joel N. , Suchard, Marc A. , Ryan, Patrick , Cai, Cindy Xinji , Barkmeier, Andrew, Stocking, Jacqueline C , Chen, John J , Mathioudakis, Nestoras N , Nishimura, Akihiko, Baxter, Sally L. , Goetz, Kerry , Toy, Brian C. , Barkmeier, Andrew J. , Xu, Benjamin Yixing , Leng, Theodore , Boland, Michael V. , Bu, Fan , Martin, Benjamin, Zhang, Linying , Fan, Ruochong, Wilcox, Adam B , Lai, Albert M. , Xie, Yangyiran , Lee, Lok Hin , Dorr, David A , Weiskopf, Nicole G. , Desai, Priya, Tran, Diep D. , Rustam, Zainab, Sena, Anthony G. , Nagy, Paul G. , Schuemie, Martijn J. , Hripcsak, George

Mayo Clinic

BMJ Open Diabetes Research & Care | November 5, 2025 | Volume: 13 | Issue: 6 | Pages: e005424

10.1136/bmjdrc-2025-005424 | PMID 41192935 Get It

Introduction Semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA) used to treat type 2 diabetes mellitus (T2D), has potential associations with higher rates of diabetic retinopathy (DR) complications including proliferative DR (PDR) and diabetic macular edema (DME). The purpose of this study was to determine whether an association exists between semaglutide and PDR and treatment-requiring DR/DME. Research design and methods This was a retrospective cohort study of 14 databases (six administrative claims and eight electronic health records) in the Observational Health Data Sciences and Informatics Evidence Network. Adults with T2D on semaglutide, other GLP-1RA (dulaglutide, exenatide), or non-GLP-1RA medications (empagliflozin, sitagliptin, glipizide) from 1 December 2017 to 31 December 2023 were included. The association between semaglutide and PDR or treatment-requiring DR/DME was assessed using an active-comparator cohort design comparing new users of semaglutide as second-line T2D treatment to those on other GLP-1RAs and non-GLP-1RAs. Propensity score-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs). Network-wide HR estimates were generated using a random-effects meta-analysis. Results The study included 810 390 new semaglutide users for T2D. PDR risk for semaglutide was similar to dulaglutide (HR 0.81, 95% CI 0.42 to 1.54, p=0.51), empagliflozin (HR 0.83, 95% CI 0.53 to 1.30, p=0.41) and sitagliptin (HR 0.83, 95% CI 0.45 to 1.55, p=0.57) but was lower than glipizide (HR 0.59, 95% CI 0.39 to 0.88, p=0.01). The risk for treatment-requiring DR/DME for semaglutide was similar to empagliflozin (HR 0.66, 95% CI 0.43 to 1.02, p=0.06) but lower than dulaglutide (HR 0.53, 95% CI 0.31 to 0.91, p=0.02), sitagliptin (HR 0.46, 95% CI 0.26 to 0.81, p=0.008) and glipizide (HR 0.55, 95% CI 0.33 to 0.91, p=0.02). Conclusions and relevance We did not identify increased risk for either PDR or treatment-requiring DR/DME comparing semaglutide with other GLP-1RAs or non-GLP-1RAs. Patients with T2D should still undergo close eye care follow-up, particularly when initiating new antihyperglycemic medications.
603 SUPRAME: a phase 3 trial evaluating IMA203 PRAME-directed TCR T-cell therapy vs investigator’s choice in previously treated advanced cutaneous melanoma
Moser, Justin, Amaria, Rodabe N, Warner, Allison Betof, Chmielowski, Bartosz, Fecher, Leslie A, Chandrasekaran, Sanjay, Chen, Ruqin, Cowey, Charles L, Daniels, Gregory A, Daud, Adil, Dimitrova, Maya, Dudek, Arkadiusz Z, Haugh, Alexandra, Hernandez-Aya, Leonel, Hu-Lieskovan, Siwen, Hurwitz, Michael E, Isaacs, James M, Karapetyan, Lilit, Lee, Sylvia, Mammen, Joshua MV, Mckean, Meredith, Mitchell, Tara C, Moschos, Stergios J, Naqash, Abdul Rafeh, Olson, Daniel J, Olszanski, Anthony J, Patel, Sapna P, Poklepovic, Andrew S, Robert, Caroline, Schadendorf, Dirk, Seedor, Rino S, Seetharam, Mahesh, Smithy, James W, Solomon, Benjamin M, Taylor, Matthew H, Terhune, Julia H, Viray, Hollis A, Whitman, Eric D, Wu, Richard, Xing, Yan, Krishna, Delfi, Mayer-Mokler, Andrea, Pankov, Dmitry, Britten, Cedrik M, Luke, Jason J, Moser, Justin, Amaria, Rodabe N, Warner, Allison Betof, Chmielowski, Bartosz, Fecher, Leslie A, Chandrasekaran, Sanjay, Chen, Ruqin, Cowey, Charles L, Daniels, Gregory A, Daud, Adil, Dimitrova, Maya, Dudek, Arkadiusz Z, Haugh, Alexandra, Hernandez-Aya, Leonel, Hu-Lieskovan, Siwen, Hurwitz, Michael E, Isaacs, James M, Karapetyan, Lilit, Lee, Sylvia, Mammen, Joshua MV, Mckean, Meredith, Mitchell, Tara C, Moschos, Stergios J, Naqash, Abdul Rafeh, Olson, Daniel J, Olszanski, Anthony J, Patel, Sapna P, Poklepovic, Andrew S, Robert, Caroline , Schadendorf, Dirk, Seedor, Rino S, Seetharam, Mahesh, Smithy, James W, Solomon, Benjamin M, Taylor, Matthew H, Terhune, Julia H, Viray, Hollis A, Whitman, Eric D, Wu, Richard, Xing, Yan, Krishna, Delfi, Mayer-Mokler, Andrea, Pankov, Dmitry, Britten, Cedrik M, Luke, Jason J

Mayo Clinic

Regular and Young Investigator Award Abstracts | November 5, 2025 | Volume: No volume available | Issue: No issue available | Pages: A687-A687

10.1136/jitc-2025-sitc2025.0603 Get It

844 Immune cell profile changes in patients treated with tarlatamab for extensive-stage small cell lung cancer in real world practice
Ma, Audrey, Corraes, Andre De Menezes Silva , Wu, Chen , Shao, Zuoyi , Regan, Kevin M., Karam, Dhauna , Potter, Ashley , Al‐Ajmi, Abdullah, Mina, Syeda A. , Taylor, Skyler, Parikh, Kaushal , Shanshal, Mohamed , Luce, A., Schwecke, Anna, Lin, Yi , Leventakos, Konstantinos , Taylor, Skyler J, Hazim, Antonious , Dimou, Anastasios , Molina, Julian, Mansfield, Aaron S. , Smith, Katherine E.

Mayo Clinic

Regular and Young Investigator Award Abstracts | November 5, 2025 | Volume: No volume available | Issue: No issue available | Pages: A953-A954

10.1136/jitc-2025-sitc2025.0844 Get It