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6052 citation(s) found for "Vu, Peter".

Abstract A018: Identifying potential cell-surface targets for therapeutic treatment of DICER1 -related cancers
McNally, Brenya, Mallinger, Paige, Huntsman, David, FCCMG, Zhang, Joyce , Fraire, Claudette R. , Schoettler, Peter J., Schultz, Kris Ann P. , Chen, Kenneth S., Wang, Yemin , Schoettler, P.J.

Mayo Clinic

Cancer Research | July 18, 2026 | Volume: 86 | Issue: 14_Supplement | Pages: A018-A018

10.1158/1538-7445.rareca26-a018 Get It

Abstract INTRODUCTION: Pleuropulmonary blastoma (PPB) and Sertoli-Leydig cell tumor (SLCT) are DICER1-related tumors for which novel therapies are urgently needed. A subset of Wilms tumors are also associated with germline or somatic variants in DICER1. Current therapies include cytotoxic chemotherapy, radiation, and surgery, but there are limited options for patients with recurrent disease. Antibody-Drug Conjugates (ADC) have emerged as promising therapies for several solid tumors. Aberrantly expressed cell surface proteins, including Preferentially Expressed Antigen in Melanoma (PRAME), represent potential targets for immunotherapeutic treatments like CAR-T cell and antibody-based therapies in malignant cancers, including DICER1-associated tumors. METHODS: Individuals diagnosed with PPB, SLCT, and Wilms tumor who enrolled in the International PPB/DICER1 Registry, International OTST Registry, and/or UT Southwestern Pediatric Hematology-Oncology Biorepository were selected for analysis. We analyzed ten PPB samples (four PDX, six primary tumor), four SLCT samples (all primary tumor), and 54 Wilms tumor samples (4 PDX, 50 primary tumor). DICER1 hotspot variants were verified in all 14 PPB and SLCT samples, while none of the Wilms tumor samples we analyzed exhibited DICER1 hotspot variants. Mapped and normalized whole-transcriptome sequencing reads were used to examine expression of 73 targets of antibody- or cell-based therapies that are clinically approved or under clinical investigation on clinicaltrials.gov. Genes with a median expression exceeding 2.5 transcripts per million (TPM) were considered expressed in a given tumor type; this threshold was selected to be permissive in identifying potential targets for further evaluation. RESULTS: Of the 73 genes of interest, 21 targetable cell-surface genes met a median expression threshold of 2.5 TPM in at least one tumor type: 11 genes in PPB, 16 in SLCT, and 14 in Wilms. Seven genes (FN1, PRAME, MCAM, CD248, IL11RA, CD276 (B7-H3), and MRC2) were expressed at this level in all three tumor types. Additional genes were expressed above this level in only two of the tumor types; PDGFRA in PPB and SLCT; GPC2 and TYRO3 in SLCT and Wilms tumor; and CSPG4, ERBB2, FZD10 in PPB and Wilms tumor. Six genes were exclusively expressed in SLCT (AXL, GPNMB, PROM1, KDR, ITGA6, FGFR4), and two were unique to Wilms tumor (GPC1, ULBP3). Of these, PRAME was previously reported as frequently expressed in DICER1-associated tumors; little has been reported about the remaining potential targets. CONCLUSION: PPB, SLCT, and Wilms tumor express several potential immunotherapy targets by RNA-seq. Expression of these potential targets should be investigated by immunostaining in a wider panel of tumors. Further study on the potential for ADCs or CAR-T cell therapies to treat DICER1-related conditions is needed. Citation Format: Brenya McNally, BS, Paige H.R. Mallinger, MS, David Huntsman, MD, FRCPC, FCCMG, Yemin Wang, PhD, Joyce Zhang, PhD, Claudette R. Fraire, PhD, Peter J. Schoettler, MD, Kris Ann P. Schultz, MD, Kenneth S. Chen, MD. Identifying potential cell-surface targets for therapeutic treatment of DICER1-related cancers [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Breaking Barriers in the Fight against Rare Cancers; 2026 Jul 18-20; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2026;86(14_Suppl):Abstract nr A018.
Unintentional Weight Loss Does Not Predict Poor Outcomes in Zenker Diverticulum
Allen, Jacqueline , Belafsky, Peter C., deSilva, Brad W. , Dhar, Shumon I. , Ekbom, Dale C. , Friedman, Aaron D. , Fritz, Mark A. , Gardner, Glendon M., Johnson, Christopher, Kasperbauer, Jan L. , Kim, Brandon , Kuhn, Maggie A. , Madden, Lyndsay L., Matrka, Laura , Piraka, Cyrus, Ramaswamy, Apoorva, Rosen, Clark A. , Sibley, Haley , Wright, Carter, Yang, Z. Mike, Young, VyVy N. , Postma, Gregory, Howell, Rebecca J. , Allen, Jacqui , Amin, Milan R , Bayan, Semirra L. , deSilva, Brad , Dhar, Shumon I , Ekbom, Dale , Fritz, Mark , Kasperbauer, Jan , Krekeler, Brittany N , Kuhn, Maggie , Ma, Yue , Matrka, Laura , Mayerhoff, Ross , Rosen, Clark , Sibley, Haley C , Tabangin, Meredith , Young, Vyvy , Howell, Rebecca , Schuman, Ari D. , Altaye, Mekibib , Belafsky, Peter C. , Gardner, Glendon M., Guardiani, Elizabeth , Madden, Lyndsay L. , Mayerhoff, Ross , Piraka, Cyrus , Ramaswamy, Apoorva Tewari , Tabangin, Meredith E. , Postma, Gregory

Mayo Clinic

The Laryngoscope | July 18, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1002/lary.70734 | PMID 42470432 Get It

ABSTRACT Objective Weight loss is frequently considered a cardinal presenting symptom for patients with Zenker diverticulum (ZD). We hypothesized that weight loss in patients with cricopharyngeal muscle dysfunction (CPMD), with or without diverticula, was associated with the length of symptoms and size of diverticulum. Methods Prospective, multicenter observational study of CPMD patients with and without diverticula reporting unintentional weight loss (+WL) or no weight loss (−WL) prior to enrollment in the Prospective Outcomes of Cricopharyngeal Hypertonicity (POuCH) database. Complications and symptom response using a patient reported outcome measure, the Eating Assessment Tool (EAT‐10), were compared. Results Of 427 patients, 101 (23.6%) were +WL. Median weight loss was 14 pounds (interquartile range [IQR] 10–25). +WL cohort had a mean age of 71.5 (standard deviation [SD] 11.5) vs. 67.9 in −WL (SD 11.6, p = 0.007). Mean preoperative EAT‐10 score was 24.7 in +WL (SD 9.7) and 14.8 in −WL (SD 8.8, p < 0.0001). Higher preoperative weight loss was associated with higher preoperative EAT‐10 ( p < 0.0001, Spearman's ρ = 0.43). Size of diverticulum was associated with WL ( p = 0.003), but weight loss was highest in both large diverticula and CP bars. Duration of symptoms was not associated with weight loss ( p = 0.30). Postoperative complications in +WL and −WL patients were similar ( p = 0.78). Conclusion Unintentional weight loss is common with ZD. Patients with worse dysphagia are more likely to have more weight loss. Weight loss does not increase with the size of the diverticulum or length of symptoms. Surgery has a similar safety profile with greater improvement in dysphagia in patients reporting weight loss. Level of Evidence 3.
Clarifying risk-factor associations with quantitative breast tumor features: a pooled analysis of 24 studies
Adams, Daniel , Hurson, Amber N. , Ahearn, Thomas U, Andrulis, Irene L, Antoniou, Antonis C, Auvinen, Päivi, Bane, Anita, González, Amy Berrington de , Bodelon, Clara, Bolla, Manjeet K. , Borrero, Maria , Brenner, Hermann, Brock, Ian W., Camp, Nicola J. , Cessna, Melissa H., Chanock, Stephen J, Chenevix-Trench, G, Copson, ER, Fh, Couch, Devilee, P, Easton, Douglas F, Eccles, Diana, Figueroa, Jonine D, Glendon, Gord, Hamann, U, Hartman, Mikael, Heemskerk-Gerritsen, Bernadette A M, Hodge, James M, Holleczek, Bernd, Hollestelle, A M, Mj, Hooning, Investigators, kConFab, Amor, David, Andrews, Lesley , Antill, Y , Rl, Balleine, Beesley, Jonathan, Bennett, Ian, Bogwitz, Michael, Bodek, Simon, Botes, Leon, Brennan, Meagan, Brown, Melissa, Buckley, Michael, Caldon, Liz, Campbell, Ian, Chakrabarti, Anannya , Chauhan, Deepa, Chauhan, Manisha, Christian, Alice, Cohen, Paul, Colley, Alison, Cui, James, Courtney, Eliza, Cummings, Margaret, Delatycki, Martin, Dickson, Rebecca, Dixon, Joanne, Duijf, Pascal, Edwards, Stacey, Farshid, Gelareh , Fellows, AM, Fenton, Georgina, Field, Michael, Flanagan, James, Fong, Peter, Forrest, Laura, Fox, Stephen, French, Juliet , Friedlander, Michael, Gattas, Mike, George, Peter, Greening, Sian, Harris, Marion, Harraka, Philip, Hayward, Nick, Hoskins, Cass , Hunt, Clare, James, Paul, Jenkins, Mark, Kidd, Alexa, Koehler, Jessica, Kollias, J, Lakhani, Sunil, Lawrence, Mitchell, Lee, Jason , Li, Shuai, Lindeman, Geoff, Lippey, Jocelyn, Lipton, Lara, Loi, Sherene, Mann, Graham, Marsh, Deborah, McLachlan, Sue Anne, Reed, Amy McCart, Milne, Roger, Nightingale, Sophie , O’Connell, Shona, O’Sullivan, Sarah, Reilly, Robert O', Ortega, David Gallego, Pachter, Nick, Pang, Jia-Min, Pathak, Gargi, Patterson, Briony, Phillips, Kelly, Pieper, Ellen, Ramus, Susan, Rickard, Edwina, Ragunathan, Abi, Robinson, Bridget, Skandarajah, Anita, Salisbury, Elizabeth, Saunders, Christobel, Saunus, Jodi, Scott, Rodney, Scott, Clare, Sexton, Adrienne, Shaw, Joanne, Shelling, Andrew, Srinivasa, Shweta , Simpson, Peter, Mc, Southey, Spurdle, Amanda, Taylor, Jessica, Taylor, Renea, Thorne, Heather, Trainer, A H, Tucker, Kathy , Visvader, Jane, Walker, Logan, Williams, Rachael, Winship, I, Young, Mary Ann, Zaheed, Milita , Investigators, S On Behalf Of The Chlovis Study, Tan, Veronique Kiak Mien , Lim, Geok Hoon, Tan, Ern Yu , Tan, Su-Ming, Iau, Philip Tsau Choong , Jakubowska, A, Jones, Michael E. , Jones, Louise , Jones, Brandt, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske , Lawrence, Scott, Li, J M, Lubiński, J, Mannermaa, Arto, Manoochehri, Mehdi, Martens, John W M, Mesker, Wilma E, Muhammad, Noor , Obi, Nadia, Olson, Janet E, Patel, Alpa V, Prajzendanc, Karolina , Ruddy, Kathryn J, Safizadeh, Fatemeh , Schöttker, Ben, Tengström, Maria , Le, Teras, Timmermans, M, Tollenaar, RA, Vachon, Celine M, Wang, Q, Yang, Xiaohong R, Zamora, M Pilar, Chang-Claude, Jenny, Schmidt, M K, Pharoah, Paul D P, Abubakar, Mustapha, Eccles, Diana , Ahearn, Thomas U. , Eccles, Diana , Jones, Michael E , Jones, J. Louise , Berrington de Gonzalez, Amy , Antoniou, Antonis C. , Bane, Anita, Behrens, Sabine , Białkowska, Katarzyna , Bodelón, Clara , Brenner, Hermann , Broeks, Annegien , Chanock, Stephen Jacob , Chenevix‐Trench, Georgia , Copson, Ellen , Couch, Fergus J, Cox, Angela , Cross, Simon S. , Devilee, Peter , Dunning, Alison M. , Easton, Douglas F. , Figueroa, Jonine D. , Glendon, Gord, González‐Neira, Anna , Hartikainen, Jaana M. , Hartman, Mikael , Heemskerk‐Gerritsen, Bernadette A. M. , Ho, Peh Joo , Hodge, James M. , Holleczek, Bernd , Hollestelle, Antoinette , Hooning, Maartje J. , Investigators, kConFab, Balleine, Rosemary L. , Bennett, Ian, Bogwitz, Michael R. , Bodek, Simon , Botes, Leon P., Buckley, Michael , Cohen, Paul A. , Crook, Ashley , Courtney, Eliza , Dawson, Sarah‐Jane , DeFazio, Anna , Delatycki, Martin B. , Duijf, Pascal H. G. , Fellows, Andrew, Fenton, Georgina L. , Flanagan, James M. , Forrest, Laura Elenor , Friedländer, Michael , Harraka, Philip A. , Kidd, Alexa, Kollias, James, Lakhani, Sunil R. , Lawrence, Mitchell, Lindeman, Geoffrey J. , Lippey, Jocelyn , Loi, Sherene , Reed, Amy E. McCart , Milne, Roger L , Gallego‐Ortega, David , Pathak, Gargi, Pearn, Amy , Robinson, Bridget A. , Skandarajah, Anita Rohini , Salisbury, Elizabeth, Saunders, Christobel , Saunus, Jodi M. , Savas, Peter Stephen , Sexton, Adrienne , Shelling, Andrew Neil , Simpson, Peter, Spurdle, Amanda B. , Visvader, Jane E. , Williams, Rachael, Tan, Bien‐Keem , Lim, Geok Hoon , Kaaks, Rudolf , Lawrence, Scott M. , Lissowska, Jolanta , Mannermaa, Arto , Manoochehri, Mehdi, Mesker, Wilma E. , Mulligan, Anna Marie , Obi, Nadia , Olson, Janet E. , Osório, Ana , Ottewell, Penelope Dawn , Patel, Alpa V , Pita, Guillermo , Rashid, Muhammad Usman , Ruddy, Kathryn J. , Schöttker, Ben , Seibold, Petra , Tapper, William , Teras, Lauren R , Timmermans, Mieke, Vachon, Celine M. , Wesseling, Jelle , Yadav, Siddhartha , Chang‐Claude, Jenny , Schmidt, Marjanka K. , Abubakar, Mustapha , García‐Closas, Montserrat

Mayo Clinic

JNCI: Journal of the National Cancer Institute | July 18, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/jnci/djag244 | PMID 42498670 Get It

Abstract Background Breast cancer is etiologically heterogeneous, but which risk factors differ in their associations across tumor subtypes remains unclear. We conducted a large, pooled analysis to evaluate independent, dose-response associations between breast cancer risk factors and quantitative tumor features. Methods Analyses of 15,731 invasive breast cancers from 24 studies evaluated associations (p-trend) between reproductive and hormonal factors, body mass index (BMI), alcohol, smoking, and family history in relation to quantitative immunohistochemistry measures on tissue microarrays (ER, PR, HER2, KI67, TP53) and tumor grade. Analyses in a subset of 10 population-based studies estimated subtype-specific odds ratios (ORs) comparing cases to controls. A Bayesian False Discovery Probability (BFDP) &lt;0.2 was used to identify associations with strong statistical evidence. Results Nulliparity and later age at menopause were associated with higher ER-positivity (p-trend=0.021 and 0.001, respectively), with corresponding OR[ER+] (95% CI) = 1.49 (1.16-1.90) for nulliparous vs. parous and 1.07 (1.03-1.11) per 5 years. Current combined menopausal hormone therapy (MHT) use was associated with lower grade (p-trend&lt;0.001), with OR [grade1] = 3.37 (2.69-4.21) for current vs. never users. Higher BMI was associated with lower ER-positivity and higher grade in premenopausal women (p-trend&lt;0.001 and &lt;0.001), with OR[ER+] = 0.80 (0.74-0.87) and OR[grade1] = 0.75 (0.63-0.88) per 5 units, and with higher PR-positivity and higher grade in postmenopausal women (p-trend&lt;0.001 and &lt;0.001), with OR[PR+] = 1.08 (1.03-1.14) and OR[grade 3] = 1.10 (1.04-1.17) per 5 units. Conclusion This pooled analysis of 15,731 cases showed that nulliparity, age at menopause, MHT, and BMI have independent, dose-response associations with ER, PR, and grade, clarifying patterns of etiologic heterogeneity. Associations with HER2, KI67 and TP53, or other risk factors did not meet our threshold for strong evidence.
Influence of Enhanced Administrative Case‐Finding Strategies on Prevalence of Hypertensive Disorders of Pregnancy in Ontario: A Population‐Based Descriptive Study
Johnston, Amy , Petrcich, William, Smith, Graeme N. , Tanuseputro, Peter , Lee, Douglas S. , Coutinho, Thais , Edwards, Jodi D , Smith, Graeme N , Tanuseputro, Peter , Petrcich, William, Edwards, Jodi D.

Mayo Clinic

Journal of the American Heart Association | July 17, 2026 | Volume: 15 | Issue: 14 | Pages: No page available

10.1161/jaha.125.046265 | PMID 42466508 Get It

Background Hypertensive disorders of pregnancy (HDP) are a leading global cause of maternal and fetal morbidity/mortality. Most estimates of HDP occurrence are reported for composite exposures of HDP or preeclampsia alone, with limited disaggregation by obstetrical subgroup (eg, multi‐fetal deliveries). Consequently, our understanding of HDP prevalence and temporal trends remains limited, and methods for identifying specific diagnoses in administrative data remain underexamined. This population‐based descriptive study assessed how enhanced administrative case‐finding definitions influence prevalence estimates of HDP in pregnancy and postpartum. Methods Included were individuals aged ≥18 years discharged from an Ontario hospital following their first obstetrical delivery between April 1, 2002, and December 31, 2017. We calculated overall and annual prevalence estimates and assessed temporal trends for any HDP and major subtypes by case‐finding definitions, stratified by plurality (singleton versus multi‐fetal deliveries). Results Most subjects had a singleton first delivery (n=781 258; 98%); however, HDP was 2.2 to 2.4 times more prevalent in multi‐fetal deliveries. When pre‐pregnancy hypertension was considered during case‐finding, HDP prevalence increased from 193.6 to 207.6 per 1000 multi‐fetal deliveries and from 79.9 to 92.6 per 1000 singleton deliveries. Gestational hypertension was the most common diagnosis in both populations but was nearly twice as common in those who delivered a multiple gestation (94.4–100.0 versus 49.7–53.4 per 1000 deliveries). Prevalence trends differed by coding strategy and plurality. Conclusions Although informative, data from discharge abstracts alone are insufficient for HDP surveillance, particularly for chronic hypertension in pregnancy. Validation studies should assess the accuracy of our case‐finding definitions against suitable reference standards.
Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed
Blackwell, Thomas W., Kachuri, Linda , Castaldi, Peter J. , Cho, Michael H. , Christenson, Stephanie A. , Durda, Peter , Gabriel, Stacey , Hersh, Craig P. , Huntsman, Scott , Hwang, S.-J., Joehanes, Roby, Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching‐Ti , Liu, Yongmei , Mak, Angel C. Y. , Manichaikul, Ani , Paik, David T. , Saferali, Aabida , Smith, Joshua D. , Taylor, Kent D. , Wang, Jiongming , Weinstock, Joshua S. , Weiss, Jeffrey, Wheeler, Heather E. , Zhou, Ying , Zoellner, Sebastian, Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R.G. , Ortega, Victor E. , Johnson, Craig , Gan, Weiniu , Abecasis, Gonçalo , Nickerson, Deborah A. , Ardlie, Kristin G., Woodruff, Prescott G. , Bowler, Russell P. , Meyers, Deborah A. , Reiner, Alex, Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S. , Silverman, Edwin K. , Rich, Stephen S., Heard‐Costa, Nancy L. , Tang, Hua, Rotter, Jerome I. , Smith, Albert V. , Aguet, François, Scott, Laura J. , Raffield, Laura M. , Parker, Stephen C.J. , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pankow, James, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric, Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Rich, Stephen S. , Pankow, James S. , Reiner, Alex P. , Aguet, François , Johnson, W. Craig , Ardlie, Kristin , Orchard, Peter , Kachuri, Linda , Castaldi, Peter J , Cho, Michael H , Christenson, Stephanie A , Durda, Peter , Hersh, Craig P , Huntsman, Scott , Hwang, Seungyong , Joehanes, Roby , Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching-Ti , Liu, Yongmei , Mak, Angel C Y , Manichaikul, Ani W , Paik, David T , Smith, Joshua D , Taylor, Kent D , Tracy, Russell P , Wang, Jiongming , Wang, Mingqiang , Weinstock, Joshua S , Weiss, Jeffrey , Wheeler, Heather E , Zhou, Ying , Zöllner, Sebastian , Wu, Joseph C , Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R G , Ortega, Victor E , Johnson, W Craig , Gan, Weiniu , Gupta, Namrata , Ardlie, Kristin , Woodruff, Prescott G , Bowler, Russell P , Reiner, Alexander P , Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S , Silverman, Edwin K , Rich, Stephen S , Heard-Costa, Nancy , Tang, Hua , Rotter, Jerome I , Smith, Albert V , Levy, Daniel , Aguet, François , Scott, Laura J , Raffield, Laura M , Parker, Stephen C J , Pankow, James S , Tracy, Russell P. , Wu, Joseph C. , Larson, Martin G. , Cupples, L. Adrienne , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan , Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric , Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng

Mayo Clinic

Science | July 16, 2026 | Volume: 393 | Issue: 6808 | Pages: No page available

10.1126/science.adx2989 | PMID 42462027 Get It

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood ( n = 6454) and lung ( n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank–derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.
PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups
Levi, Hagai, Wang, Qin, Bolla, Manjeet K. , Dennis, Joe, Andrulis, Irene L., Antonenkova, Natalia, Au, Chun Hang, Freeman, Laura E. Beane, Bermisheva, Marina, Bodelon, Clara, Bojesen, Stig E., Brenner, Hermann, Brock, Ian W., Brüning, Thomas, Byers, Helen, Camp, Nicola J., Castelao, Jose E., Choi, Ji-Yeob, Chung, Wendy K., Collaborators, NBCS, Colonna, Sarah, Couch, Fergus J., Daly, Mary B., Devilee, Peter, Dörk, Thilo, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Faw, Kierstin, García-Closas, Montserrat, Haiman, Christopher A., Hamann, Ute, Hartman, Mikael, Hooning, Maartje J., Hoppe, Reiner , Howell, Sacha J., Investigators, ABCTB, Investigators, SGBCC, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Jernström, Helena, Joseph, Vijai, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K., Kiprijanovska, Sanja , Koutros, Stella, Kristensen, Vessela N., Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Nicole L. , Marchand, Loic Le, Li, Shuai, Li, Jingmei, Lophatananon, Artitaya, Mannermaa, Arto, Matsuo, Keitaro, Maxwell, Whitney, Muir, Kenneth, Nevelsteen, Ines, Obi, Nadia, O’Brien, Katie M., Ofit, Kenneth, Ottewell, Penelope D., Patel, Alpa V., Plaseska-Karanfilska, Dijana, Prajzendanc, Karolina , Ramachandran, Dhanya, Rashid, Muhammad U., Saloustros, Emmanouil, Sandler, Dale P., Schöttker, Ben, Simard, Jacques, Southey, Melissa C., Stone, Jennifer, Teras, Lauren R., Truong, Thérèse, Weinberg, Clarice R., Yamaji, Taiki , Zheng, Wei, Easton, Douglas F., Elkon, Ran , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W. , Li, Shuai , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W , Li, Shuai , Levi, Hagai , Au, Chun , Augustinsson, Annelie , Freeman, Laura E. Beane , Behrens, Sabine , Bermisheva, Marina , Bodelón, Clara , Bogdanova, Natalia , Brenner, Hermann , Brock, Ian W., Brüning, Thomas , Byers, Helen, Camp, Nicola J. , Castelao, Jose E. , Choi, Ji-Yeob , Chung, Wendy K. , Colonna, Sarah V. , Couch, Fergus J. , Czene, Kamila , Daly, Mary B., Devilee, Peter , Dörk, Thilo, Evans, D. Gareth , Fasching, Peter A., Faw, Kierstin, Gago-Domínguez, Manuela , García‐Closas, Montserrat , Haiman, Christopher A. , Hartman, Mikael , Ho, Vikki , Ho, Peh Joo , Hooning, Maartje J. , Investigators, S On Behalf Of The Chlovis Study, Iwasaki, Motoki , Jakubowska, Anna, Jernström, Helena , Joseph, Vijai, Kaaks, Rudolf , Хуснутдинова, Э. К. , Koutros, Stella , Kristensen, Vessela N., Kwong, Ava , Marchand, Loı̈c Le , Li, Jingmei, Lophatananon, Artitaya , Mannermaa, Arto , Nevelsteen, Ines , Obi, Nadia , O’Brien, Katie M. , Ottewell, Penelope Dawn , Peterlongo, Paolo , Plaseska‐Karanfilska, Dijana , Radice, Paolo , Ramachandran, Dhanya , Romero, Atocha , Saloustros, Emmanouil , Sandler, Dale P. , Schöttker, Ben , Simard, Jacques , Southey, Melissa C. , Sugier, Pierre‐Emmanuel , Taylor, Jack A. , Teras, Lauren R. , Truong, Thérèse , Weinberg, Clarice R. , Yadav, Siddhartha , Dunning, Alison M. , Mavaddat, Nasim , Easton, Douglas F. , Michailidou, Kyriaki , Shamir, Ron

Mayo Clinic

No container title available | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.12.26357860 | PMID 42523604 Get It

Abstract Polygenic risk scores (PRSs), which quantify inherited susceptibility to complex traits and diseases, have emerged as valuable tools for risk stratification and precision medicine. Despite their promise, PRS developed on European cohorts often demonstrate substantially reduced predictive accuracy in non-European populations, due to differences in genetic architecture. The disproportionate representation of European ancestry cohorts in genome-wide association studies (GWAS) leads to inequitable deployment of PRS technologies across diverse populations. Here, we introduce PRANA (Polygenic Risk Adaptation via Neural-network Architecture), a deep learning framework that adapts an existing PRS developed on one population to other ancestries. Unlike methods that require large-scale GWAS in the target population, PRANA leverages pre-trained PRS models derived from European cohorts and adapts them using modestly sized cohorts from the target population. We evaluated PRANA on seven complex traits in South Asian, East Asian and Ashkenazi Jewish populations, as well as in selected smaller East Asian subpopulations where the scarcity of training data poses a particular challenge. PRANA mostly improved predictive performance of the baseline PRS models by 5%-20% in terms of effect size (β) and Nagelkerke’s R², and, in most cases, outperformed existing cross-ancestry multi-PRS approaches. These results highlight PRANA as a scalable and practical strategy to reduce disparities in genomic risk prediction and advance the equitable application of PRS in diverse populations.
Anatomy Curriculum and Teaching Insights From Medical Students in the United Kingdom: A National Survey
Kiew, Cheuk Ying Kyleen , Shah, Anuska , Mahmood, Ameen, Rehman, Umar , Fareed, Fay Fathima Imtiaz, Chhatwal, Karanjot, Arab, Sammy, Sarwar, Mohammad Sohaib, Pafitanis, Georgios, Brennan, Peter A., Collaborators, UKPRC, Hadjiandreou, Michalis , Kiew, Cheuk Ying Kyleen , Mahmood, Ameen R. , Rehman, Umar , Fareed, Fay Fathima Imtiaz , Chhatwal, Karanjot , Arab, Sammy , Sarwar, Mohammad Sohaib , Pafitanis, Georgios , Brennan, Peter A

Mayo Clinic

Clinical Anatomy | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1002/ca.70185 | PMID 42452997 Get It

ABSTRACT Undergraduate anatomy teaching in the UK has been progressively compressed, with reduced contact time and variable integration across medical programs. We examined final‐year medical students' perceptions of anatomy teaching, focusing on total contact hours, longitudinal continuity, and exposure to traditional and emerging teaching modalities. A national cross‐sectional survey was distributed to final‐year students across 40 UK medical schools between December 2024 and February 2025. Satisfaction with anatomy teaching, perceived importance of anatomy for future practice, contact hours, continuity across program years, and exposure to specific teaching modalities and technologies were assessed. Comparative analyses used non‐parametric tests and ANOVA with post hoc testing where appropriate. 628 students responded. Dissatisfaction was greatest for teaching quantity and continuity, whereas breadth, depth, and quality were rated more favourably. Students receiving more than 200 h of anatomy teaching reported significantly higher satisfaction than those receiving fewer than 200 h ( p < 0.001). Satisfaction also varied by continuity pattern, with teaching delivered continuously over three or more years associated with higher satisfaction than shorter or non‐continuous models ( p < 0.01). Cadaveric dissection was the most preferred modality, but higher satisfaction was associated with exposure to selected adjuncts, particularly 3D imaging software and 3D printed models (both p < 0.001); VR/AR showed no significant association. Perceived importance of anatomy differed by intended specialty, with students interested in surgery rating anatomy as most important ( p < 0.0001). Student dissatisfaction with UK undergraduate anatomy teaching appears to stem less from content coverage than from insufficient teaching time and poor longitudinal integration. Anatomy should be protected as a multi‐year component of the curriculum, complemented by selectively integrated adjunctive tools rather than indiscriminate technology adoption.
Minor stroke, major stakes: impact of procedure duration on thrombectomy outcomes in minor stroke
Kasem, Rahim Abo, Baba, Bachar El, Ma, Tianwen, Zelmanovich, Rebecca, Pabaney, Aqueel, Khelo, Roy Raheb, Giraudo, Francesca, Chandler, Katherine, Elawady, Sameh Samir, Chalhoub, Reda, Levitt, Michael R., Mascitelli, Justin, Cawley, Charles Michael, Akbik, Feras, Chisango, Zvipo, Wolfe, Stacey Quintero, Kim, Joon-Tae, Jabbour, Pascal, Yoshimura, Shinichi, Maier, Ilko, Ogilvy, Christopher S., Ezzeldin, Mohamad, Psychogios, Marios-Nikos, Siddiqui, Fazeel, Navia, Pedro, Goyal, Nitin, Arthur, Adam S., Romano, Daniele G., Fragata, Isabel, Daglioglu, Ergun, Altschul, David, Park, Min S., Crosa, Roberto, Brinjikji, Waleed, Moss, Mark, Dye, Justin, Alaraj, Ali, Kan, Peter, Limaye, Kaustubh, Mokin, Maxim, Starke, Robert M., Spiotta, Alejandro M., Grossberg, Jonathan A , Alawieh, Ali M., Kasem, Rahim Abo , Baba, Bachar El , Ma, Tianwen , Zelmanovich, Rebecca , Pabaney, Aqueel, Khelo, Roy Raheb , Giraudo, Francesca, Chacón-Aponte, Ariana Alejandra , Chandler, Katherine , Elawady, Sameh Samir , Howard, Brian M , Levitt, Michael R. , Grandhi, Ramesh , Mascitelli, Justin R , Cawley, Charles Michael, Akbik, Feras , Chisango, Zvipo Mutsa , Wolfe, Stacey Q , Kim, Joon‐Tae , Jabbour, Pascal , Maier, Ilko , Ogilvy, Christopher S. , Ezzeldin, Mohamad , Psychogios, Marios‐Nikos , Navía, Pedro , Goyal, Nitin , Arthur, Adam S., Romano, Daniele Giuseppe , Fragata, Isabel , Dağlıoğlu, Ergün , Altschul, David , Crosa, Roberto , Brinjikji, Waleed , Moss, Mark, Dye, Justin , Alaraj, Ali , Limaye, Kaustubh , Mokin, Maxim , Starke, Robert M. , Spiotta, Alejandro M , Alawieh, Ali

Mayo Clinic

Journal of Neurosurgery | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: 1-12

10.3171/2026.2.jns252558 | PMID 42468039 Get It

OBJECTIVE Endovascular thrombectomy (EVT) for acute large-vessel occlusion stroke is well established, yet its role in patients presenting with minor stroke symptoms (National Institutes of Health Stroke Scale [NIHSS] score < 6) remains unclear. Prior studies have not accounted for intraprocedural factors that may influence outcomes in this subgroup. METHODS The authors analyzed 5693 patients from the STAR (Stroke and Thrombectomy and Aneurysm Registry), including 398 with low NIHSS scores, to evaluate the association between procedure time (PT) and outcomes. Among patients with low NIHSS scores, propensity score matching was used to compare outcomes between those with PT ≤ 35 versus > 35 minutes, a cutoff defined using receiver operating characteristic curve analysis. The authors performed a meta-analysis of studies reporting best medical management (BMM) outcomes in patients with low NIHSS scores. To compare these with EVT-treated patients, a matched BMM comparator cohort using stratification on pooled baseline characteristics was constructed. Outcomes included 90-day functional independence (modified Rankin Scale [mRS] scores 0–2), intracranial hemorrhage, and mortality. RESULTS PT had a stronger negative effect on outcomes in patients with low NIHSS scores compared with those with high scores, with a steeper decline in functional independence per minute of PT (slope: –0.45% vs –0.21%; p = 0.03 for interaction). Among patients with low scores, PT ≤ 35 minutes was associated with higher 90-day functional independence compared with the propensity score–matching cohort with PT > 35 minutes (82.6% vs 59.0%, p < 0.001). When benchmarked against BMM (75.2% mRS scores 0–2), patients undergoing EVT within 35 minutes had superior outcomes (85.1%, p = 0.047). In contrast, EVT with PT > 35 minutes resulted in worse outcomes than BMM (mRS scores 0–2: 59.8%, p = 0.008). The number needed to treat for PT ≤ 35 minutes was 10, whereas PT > 35 minutes yielded a number needed to harm of 6. CONCLUSIONS PT critically modulates the benefit of EVT in minor stroke. While efficient EVT yields better outcomes than BMM, prolonged procedures are associated with harm. These findings may explain prior inconsistent evidence on EVT in patients with low NIHSS scores and underscore the need to individualize procedural thresholds in this population.
MAGIC Composite Score Predicts Outcomes of Second-Line Therapy for Acute GVHD
Sebastian, Tara, Weber, Daniela, Etra, Aaron M., Vasova, Ingrid, Ayuk, Francis, Choe, Hannah K., DeFilipp, Zachariah, Quagliarella, Francesco, Bedirian, Karni, Diniz, Marcio Augusto, Aguayo-Hiraldo, Paibel, Bader, Peter, Baez, Janna, Chanswangphuwana, Chantiya, Eng, Gilbert, Francke, Thomas, Hexner, Elizabeth O., Katsivelos, Nikolaos, Kitko, Carrie L., Kraus, Sabrina, Louloudis, Ioannis E., Morales, George, Nakamura, Ryotaro, Olson, Timothy S., Qayed, Muna, Reddy, Pavan, Reshef, Ran, Schechter, Tal, Wang, Tingyu, Wolf, Matthias, Young, Rachel, Zeiser, Robert, Hogan, William J., Levine, John E., Ferrara, James L.M., Sebastian, Tara M. , Weber, Daniela , Etra, Aaron , Vášová, Ingrid, Ayuk, Francis , Choe, Hannah , DeFilipp, Zachariah , Quagliarella, Francesco , Bedirian, Karni, Aguayo‐Hiraldo, Paibel , Bader, Peter , Baez, Janna , Chanswangphuwana, Chantiya , Eng, Gilbert, Francke, Thomas, Hexner, Elizabeth O. , Katsivelos, Nikolaos , Kitko, Carrie L. , Kraus, Sabrina , Morales, George , Nakamura, Ryotaro , Olson, Timothy S. , Qayed, Muna , Reddy, Pavan, Reshef, Ran , Schechter, Tal , Wölfl, Matthias , Young, Rachel , Zeiser, Robert , Hogan, William J. , Levine, John E. , Ferrara, James L.M.

Mayo Clinic

No container title available | July 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.09.26357664 | PMID 42523406 Get It

ABSTRACT Approximately 30% of patients with acute graft-versus-host disease (GVHD) develop steroid-refractory disease and have very poor outcomes. Ruxolitinib has become the standard of care for steroid-refractory acute GVHD, but it is unclear which patients derive benefit. The MAGIC Composite Score (MCS), an algorithm that combines clinical symptoms and biomarkers, has been validated to predict outcomes at the start of primary GVHD treatment. Here, we evaluated its performance at the initiation of second-line treatment in 278 patients. MCS stratified patients into three risk groups (MCS1-3), with the majority (88%) classified as intermediate or high risk. Increasing MCS score was associated with progressively higher 1-year non-relapse mortality (NRM) rates (16%, 41%, and 73%; p<0.001), lower 1-year survival (77%, 56%, and 24%; p<0.001), and lower complete response (CR) rates at day 28 (47%, 38%, and 20%, respectively; p<0.01). The area under the receiver operating characteristic curve (AUROC) for 1-year NRM was significantly higher with MCS compared to clinical symptoms alone (0.70 vs. 0.63; p=0.023). Among patients treated with ruxolitinib, higher MCS similarly predicted higher NRM and lower survival and CR rates. Patients classified as MCS2/3 had poor outcomes despite ruxolitinib, underscoring the need for novel therapies in this patient population. In conclusion the MCS is an accurate predictor of outcomes for patients who require second-line treatment and may be of use as an eligibility criterion for future clinical trials in this high-risk population. Key Points MAGIC Composite Scores that integrate clinical symptoms and biomarker scores predict outcomes of second-line therapy for acute GVHD more accurately than clinical symptoms alone. MCS identifies patients with high NRM despite treatment with ruxolitinib.
Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)
Byram, K, Mann, Heřman , Hammond, Danielle, Chowdhury, Onima , Savic, Sinisa , Kirino, Yohei , Heiblig, Maël , Comont, Thibault , Mékinian, A. , Patnaik, Mrinal M., Weeks, Lachelle D., Ho, Gary , Al‐Hakim, Adam , Goldberg, Scott, Grayson, Peter C. , Patel, Bhavisha , Buckley, Sarah A., Harder, Bryan G., Garcha, Raman, Beck, David B. , Mann, H. , Hammond, Danielle , Byram, Kevin W , Hammond, Danielle , Gurnari, Carmelo , Heiblig, Mael , Comont, Thibault , Mékinian, Arsène , Weeks, Lachelle Dawn , Ho, Gary , Al-Hakim, Adam , Ferrada, Marcela A , Georgin-Lavialle, Sophie , Grayson, Peter C , Groarke, Emma M , Sullivan, Megan M , Buckley, Sarah A , Harder, Bryan G , Garcha, Raman , Beck, David B , Koster, Matthew J , Kirino, Yohei , Savic, Sinisa , Gurnari, Carmelo , Patnaik, Mrinal M. , Weeks, Lachelle D. , Ferrada, Marcela A. , Georgin‐Lavialle, Sophie , Sullivan, Megan M. , Harder, Bryan , Koster, Matthew J.

Mayo Clinic

Arthritis Care & Research | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1002/acr.80117 | PMID 42439317 Get It

Objective Vacuoles, E1 enzyme, X‐linked, autoinflammatory, somatic syndrome (VEXAS) syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures. A VEXAS‐specific disease activity index (DAI) is an essential tool for reliably capturing changes in disease activity over time, thereby supporting clinical research and informing patient care in this emerging disease. This study aimed to develop a comprehensive DAI to assess disease‐related inflammation across affected organ systems in patients with VEXAS syndrome. Methods Inflammatory manifestations of VEXAS were previously identified through a systematic literature review and expert input. A multinational expert advisory committee developed the VEXAS‐DAI using modified Delphi methodology until consensus (defined as ≥75% concurrence) was reached. Item grading was adapted from the Common Terminology Criteria for Adverse Events. Scoring criteria were developed based on 158 test cases using the Physician Global Assessment of Inflammation. Results Consensus on the VEXAS‐DAI was achieved after four Delphi rounds. The index assesses inflammatory activity at the time of evaluation across 12 domains: inflammatory rash, chondritis, periorbital, ophthalmologic, joint, pulmonary, cardiovascular, genitourinary, neurologic, oral and gastrointestinal, renal, and constitutional symptoms. The total score ranges from 0 to 40. Conclusion The VEXAS‐DAI is a novel instrument designed to quantify active inflammation over time in patients with VEXAS. Prospective validation within a clinical trial setting is ongoing. image