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1586 citation(s) found for "Yu, Wei".

A framework for using DNA methylation-based modelling for the clinical management of cranial meningioma
Landry, Alexander , Wang, Justin Z. , Patil, Vikas, Ajisebutu, Andrew, Gui, Chloe , Yefet, Leeor, Mamatjan, Yasin , Wei, Qingxia , Singh, Olivia, Mansouri, Sheila , Ehret, Felix , Capper, David , Cohen-Gadol, Aaron A, Behling, Felix , Sloan, Andrew E. , Chambless, Lola B. , Makarenko, Serge , Yip, Stephen , Tsang, Derek S. , Gao, Andrew , Aldape, Kenneth , Nassiri, Farshad , Zadeh, Gelareh , Santarius, Thomas , Selman, Warren R., Couce, Marta , Wen, Patrick Y. , Walbert, Tobias , Felicella, Michelle M. , Brodie, Chaya , Snyder, James P., Saladino, Andrea , Schichor, Christian , Tonn, Jörg‐Christian, Goldbrunner, Roland , Timmer, Marco , Schimdt, Nils Ole, Jenkinson, Michael D. , Millward, Christopher P. , Islim, Abdurrahman I. , Fl, Behling, Santacroce, Antonio , Schittenhelm, Jens , Raleigh, David R. , Butowski, Nicholas , Westphal, Manfred , Lamszus, Katrin , Mawrin, Christian , Kurz, Sylvia C. , Zada, Gabriel , Yip, Stephen, Zherebitskiy, Viktor, Hnenny, Luke, Dunn, Ian F. , Moliterno, Jennifer , McDermott, Michael , Vogelbaum, Michael A. , Aldape, Kenneth, Alkividias, Tzannis, Short, Susan , Bos, Eelke M. , Dincer, Alper , Paßlack, Peter, Ehret, Felix, Lopez, Clara, Arvaniti, Christina , Benjamin, Carolina , Jackson, Christina , Jeyaretna, Sanjeeva, Scartoni, Daniele , Amelio, Dante , Ivanidze, Jana , Kien, Duong Trung, Millareschavez, Miguel, AlThgafi, Malak, LeRhun, Emilie, Smee, Robert, Muirhead, William , Molina, Eric Suero, Julius, Vitowanu, Chen, J., Mrugała, Maciej M. , Castro, Ana Valeria , Mamatjan, Yasin , Capper, David , Tatagiba, Marcos , Barnholtz-Sloan, Jill S , Yip, Stephen , Aldape, Kenneth , Zadeh, Gelareh , Short, Susan C , Yefet, Leeor S. , Ellenbogen, Yosef , Liu, Jeff , Singh, Olivia , Tabatabai, Ghazaleh , Tatagiba, Marcos , Barnholtz‐Sloan, Jill S. , Mansouri, Alireza , Brastianos, Priscilla K. , Shih, Helen A. , Bi, Wenya Linda , Huang, Raymond Y. , Wen, Patrick Yung , Lee, Ian , Malta, Tathiane Maistro , Castro, Ana Valéria , Noushmehr, Houtan , DiMeco, Francesco , Pollo, Bianca , Kaufmann, Timothy J. , Lachance, Daniel Honore , Giannini, Caterina , Galanis, Evanthia , Raghunathan, Aditya , Hanemann, C. Oliver , Au, Karolyn , Galldiks, Norbert , Herold‐Mende, Christel C. , Sahm, Felix , Jungk, Christine , Jungwirth, Gerhard , Deimling, Andreas von , Drummond, Katharine Jann , Morokoff, Andrew P. , Renovanz, Mirjam , Fougère, Christian la , Perry, Arie , Ricklefs, Franz , Horbinski, Craig , Ng, Ho‐Keung , Snuderl, Matija , Sulman, Erik P. , Cohen‐Gadol, Aaron , Javadpour, Mohsen , Fountain, Daniel Mark , Mathiesen, Tiit Illimar , Pathmanaban, Omar Nathan , Boutros, Paul C. , Fountas, Konstantinos N. , Walsh, Kyle M. , Carvalho, Bruno , Maas, Sybren L. N. , Deng, Maximilian Y. , Mehta, Minesh P. , Odia, Yazmín , Everson, Richard G. , Balogun, James , Calabrese, Evan , Karschnia, Philipp , Teske, Nico , Fariselli, Laura , Greve, Tobias , Ivan, Michael E , Palmer, Joshua D. , Ostrom, Quinn T. , Youngblood, Mark W. , Emerson, Sam, Weller, Michael , Martínez-Pérez, Rafael , Mukherjee, Raj, Cervio, Andrés , Turner, Clinton P. , Chen, Jiawei, Karmur, Brij S. , Neth, Bryan J.

Neuro-Oncology | November 15, 2025 | Volume: 28 | Issue: 2 | Pages: 430-439

10.1093/neuonc/noaf237 | PMID 41259653 Get It

Abstract Background DNA methylation profiling can be used to robustly predict postsurgical outcomes and response to radiotherapy (RT) for meningioma patients. To allow for seamless integration of these complementary models into clinical practice, a practical framework is needed. Methods We leveraged a cohort of nearly 2000 surgically-treated meningiomas with DNA methylation profiling and clinical outcomes data. Existing methylation-based prediction models were dichotomized to yield four risk groups: low and high recurrent risk, each with RT sensitive and resistant subgroups. Risk groups were correlated with progression-free survival in the context of existing biomarkers including extent of resection and WHO grade. Results We first demonstrated that all risk groups benefit from gross total resection. All “high-risk, RT sensitive” tumors (n = 306, 15.7%) also benefited from adjuvant RT: after GTR, median PFS increased from 4.68 (4.13-9.48) years to not reached (P = .003); after subtotal resection (STR), from 2.12 (1.59-3.02) to 4.09 (3.41-not reached) years (P = .004). “Low-risk, RT sensitive cases” (n = 1207, 61.8%) also benefited from RT after STR (median PFS 7.39 (6.66-12.8) vs. 16.53 (10.35-not reached) years, P = .03), suggesting that RT be considered in these patients. Neither “low-risk RT resistant” (n = 84, 4.3%) nor “high-risk RT resistant” (n = 356, 18.2%) cases benefited from RT, and the latter group was associated with universally poor outcomes. Conclusions We identify methylation-defined risk groups of meningioma for which additional benefit is gained from adjuvant RT, leading to a clinical decision-making framework for straightforward integration of molecular models into clinical practice.
Hepatocellular adenomas with high-risk molecular alterations undetected by “high-risk” β-catenin and/or glutamine synthetase staining patterns
Gosnell, Hailey L. , Roberts, Daniel , Zhang, Xuefeng , Azzato, Elizabeth M. , Jacubowski, Maureen A, Toro, Paula , Corredor, Germán , Cheng, Yu‐Wei , Caldéraro, Julien , Kakar, Sanjay , Allende, Daniela , Cheng, Yu-Wei , Dermawan, Josephine K. , Graham, Rondell P. , Kakar, Sanjay

Am J Clin Pathol | November 14, 2025 | Volume: 164 | Issue: 6 | Pages: 908-916

10.1093/ajcp/aqaf115 | PMID 41236436 Get It

Abstract Objective β-Catenin–mutated hepatocellular adenomas (HCAs) carry an increased malignant transformation risk and are screened by interpreting glutamine synthetase (GS) and β-catenin by immunohistochemistry (IHC). Our study aims to assess GS and β-catenin interpretation guidelines for applicability and reproducibility in predicting high-risk HCA and other relevant molecular alterations. Methods Hematoxylin and eosin (H&E), β-catenin, GS, and CD34 stains from 75 HCAs were interpreted by three pathologists using Method A (GS interpretation: negative, perivenular patchy, map-like, diffuse, and indeterminate) and Method B criteria (similar GS interpretation scheme based on a recent publication, with and without CD34 expression patterns). Ease of application and interpretation confidence level were assessed. High-risk IHC was defined as nuclear β-catenin and/or diffuse homogeneous GS. Molecular testing was performed on a subset of HCAs and controls. Results There were 57 resections and 18 biopsy specimens examined. Methods A and B (GS only) were rated as easy to apply, with high interpretation confidence (≥90% using both methods). Consensus rate was comparable in biopsy specimens (100% for both methods) and resections (88% for Method A, 93% for Method B). While the same cases were stratified into high-risk GS categories using both systems, clinically significant genetic alterations (TERT promoter, EGFR, MTOR, and TP53) were identified in 25% of cases stratified as not high risk by IHC. Conclusions Both methods have a similar ease of application and level of interpretation confidence, and they also detected β-catenin mutations as expected. Other relevant molecular alterations associated with risk of neoplastic progression and/or bleeding were detected in 25% of HCAs with the non-high-risk IHC phenotype, suggesting the value of molecular testing in this subset.
TMOD-26. EGFRvIII overexpression and loss of mouse specific CDKN2A in glial cells leads to spontaneous gliomagenesis in a novel mouse model
Singh, Olivia, Li, Mira , Ali, Hafsah, Wei, Qingxia , Patil, Vikas , Aldape, Kenneth , Gao, Andrew , Zadeh, Gelareh , Singh, Olivia , Voisin, Mathew , Karimi, Shirin , Wilson, Mark, Agnihotri, Sameer

Neuro-Oncology | November 11, 2025 | Volume: 27 | Issue: Supplement_5 | Pages: v479-v479

10.1093/neuonc/noaf201.1900 Get It

Abstract A new mouse model for the classical subtype of human glioblastoma (GBM) has been bred using Cre-mediated EGFRvIII overexpression and homozygous p19-ARF deletion, the mouse homolog of human p14ARF/CDKN2A, in GFAP expressing cells. Transgenic mice develop intraparenchymal and/or leptomeningeal brain lesions with some spinal cord invasion as early as 1 month old and 95% of mice die by 6 months due to hydrocephalus and/or paralysis. Mice with high grade tumors have worse survival and similar features to human classical GBM such as necrosis, high levels of mitosis and infiltration of tumor cells into normal brain. Immunohistochemical analysis confirms EGFRvIII overexpression and p19-ARF loss in Cre-expressing cells, along with patchy positive GFAP and high proliferation by Ki67. Bulk RNA sequencing reveals GEC3 tumors cluster closely with human classical GBM and have significant upregulation of downstream markers in the JAK/STAT and P13K/AKT pathways. Adherent and neurosphere primary culture of dissociated tumors indicate that tumor cells maintain EGFRvIII expression in culture and generate xenograft tumors by 3 weeks after intracranial injections into NODSCID mice. Xenograft tumors are reminiscent of the primary tumor, with similar histopathological features and immunohistochemical staining. Our spontaneous glioma model is a powerful tool for future studies focused on the role of the immune microenvironment on glioma recurrence and resistance.
CTNI-08. WSD0922-FU THERAPY IN PATIENTS WITH EGFR MUTANT GLIOBLASTOMA – UPDATES FROM THE DOSE EXPANSION COHORTS OF A FIRST-IN-HUMAN PHASE 1 CLINICAL TRIAL (MC1914)
Kizilbash, Sani H. , Jaeckle, Kurt A. , Mrugala, Maciej , Allred, Jacob B., Steinert, Kimberly O., Reid, Joel R., Lammers, Anita, Erdmann, Abby, Casini, Angela , Venegas, S Sáchez-Gey, Woolard, Theresa McCabe, Moriarty, Cheryl, Zhong, Wei , Uhm, Joon H. , Campian, Jian , Ruff, Michael W. , Neth, Bryan J. , Caron, Samantha, Rosenfeld, Steven S. , Porter, Alyx B. , Adjei, Alex A. , Neth, Byran J. , Kizilbash, Sani H , Sherman, Wendy , Safgren, Stephanie L. , Erdmann, Abby, He, Lihong , Venegas, Selena, Zhong, Wei, Maqbool, Muhammad Asad , Sener, Uğur , Galanis, Evanthia , Ensign, Shannon P. Fortin , Burns, Terry C. , Parney, Ian F. , Raghunathan, Aditya , Vaubel, Rachael A. , Giannini, Caterina , Sarkaria, Jann N.

Neuro-Oncology | November 11, 2025 | Volume: 27 | Issue: Supplement_5 | Pages: v126-v126

10.1093/neuonc/noaf201.0505 Get It

Abstract WSD0922-Fu is an oral, CNS-penetrant, small molecule EGFR inhibitor which potently inhibits EGFR aberrations specific to non-small cell lung cancer (NSCLC) and glioblastoma (GBM). MC1914 (NCT04197934) is a first-in-human phase 1 trial in patients with EGFR aberrant recurrent GBM and NSCLC. After determining the maximum tolerated dose, adults with recurrent GBM were treated in two expansion cohorts: (a) non-surgical cohort (6/12 patients thus far): EGFRvIII mutation, first recurrence; food-effect study included (b) surgical cohort (6/6 patients), any EGFR mutation, any recurrence; window-of-opportunity study (WOO) included. Among these 12 patients, median age = 60 years; 50% female; 58% ECOG 0). All patients received prior radiation and temozolomide. After the WOO or food-effect study, patients were dosed at 120 mg BID (5 days on, 2 days off), and escalated to 160 mg BID (5 days on, 2 days off) based on tolerability. Common adverse events (>40%) are comparable to other EGFR inhibitors (acneiform rash, diarrhea, fatigue, xerosis, pruritis). Treatment-related grade 3+ adverse events were limited to lymphopenia (n = 1). WSD0922-Fu exposure in the fed state exceeded the fasted state (median plasma Cmax and AUC0-24h are 1.6x and 1.3x, respectively) with a delayed Tmax (6.0 vs 1.8 hours). For the WOO, time between last dose administered to tumor collection ranged between 4 - 13.5 hours. Median tumor WSD0922-Fu concentration was 0.76 µg/g; estimated median unbound tumor concentration was 24.9 ng/g and within expectations for pharmacodynamic effect. Median brain/plasma ratio = 0.59; median unbound brain/unbound plasma = 0.88. Enrollment to the non-surgical cohort is ongoing, so formal efficacy data remain immature. However, examples of clinical efficacy will be shown along with data on recurrence patterns. Phase 2 clinical trial development is in progress.
A new classification for heterotopic ossification following periacetabular osteotomy with and without concomitant hip arthroscopy
Tai, Ta-Wei, Restrepo, Diego J., Perez, Sergio F. Guarin , Gonzalez-Bravo, Adrian E. , Hapa, Onur , Sierra, Rafael J. , Restrepo, Diego J. , Guarin Perez, Sergio F , Restrepo, Diego J. , Tai, Ta-Wei, Restrepo, Diego J.

Bone & Joint Open | November 11, 2025 | Volume: 6 | Issue: 11 | Pages: 1436-1445

10.1302/2633-1462.611.bjo-2025-0222.r1 | PMID 41213296 Get It

Aims Heterotopic ossification (HO) is a recognized complication following periacetabular osteotomy (PAO), but its patterns, incidence, and clinical relevance remain poorly defined. The commonly used Brooker classification, developed for total hip arthroplasty, is not fully applicable to HO after PAO. This study aimed to propose a new classification system specific to HO after PAO, evaluate its clinical relevance, and report the cumulative probabilities of radiological and symptomatic HO. Methods This retrospective study included 643 patients who underwent PAO between January 2006 and July 2024. A total of 308 patients (47.9%) had concomitant arthroscopic procedures. Radiographs were analyzed to identify HO using both the Brooker classification and a newly developed system. The cumulative probabilities of radiological and symptomatic HO were calculated using Kaplan-Meier analysis. Difference of variables between patients with and without HO was analyzed. Receiver operating characteristic (ROC) curve analysis was used to compare the predictive performance of the two classification systems. Results The cumulative probabilities of radiological and symptomatic HO at five years post-PAO were 30.4% and 3.8%, respectively. The probabilities were 41.9% in males and 29.2% in females. Four patients (2.8%) required surgical excision of HO, all classified as type 3 or 4 under the new system. The ROC analysis demonstrated superior predictive performance for the new classification system (AUC = 0.928) compared to the Brooker classification (AUC = 0.697; p = 0.007). No significant differences were found between the patients with and without HO in terms of age, sex, concomitant arthroscopic procedures, or receiving prophylaxis in addition to low-dose aspirin. Conclusion This study highlighted the cumulative probabilities of HO following PAO and introduced a new classification system that improved clinical relevance and predictive accuracy. These findings have provided insights into the incidence and management of HO after PAO, and laid the groundwork for standardized reporting and future research. Cite this article: Bone Jt Open 2025;6(11):1436–1445.
Evaluation of Interventions for Cognitive Symptoms in Long COVID
Koltai, Deborah, Laskowitz, Daniel T. , Wisnivesky, Juan P., Federman, Alex D. , Silverstein, Adam M. , Lokhnygina, Yuliya, Haddad, Michelle M., Mahncke, Henry W. , Vleet, Tom Van, Huang, Rong , Cox, Wendy C., Terry, Diana, Karwowski, Jeannie, McCray, Netia, Lin, Jenny , Singh, Upinder , Geng, Linda N. , Reece, Rebecca , Moy, James N., Arvanitakis, Zoe , Parthasarathy, Sairam , Patterson, Thomas F., Gupta, Aditi , Parsonnet, Jeffrey, Kiriakopoulos, Elaine T. , Mullington, Janet , Jolley, Sarah E. , Shah, Nirav S. , Morimoto, Sarah Shizuko , Lee‐Iannotti, Joyce , Isache, Carmen, Frontera, Jennifer , O’Steen, Ashley, James, Melissa, Harper, Barrie, Zimmerman, Kanecia O. , Lawler, Andrew , Johnson, Brandon M. , Pitsch, Chloe E. , Feuerriegel, Elen , McKeehan, Jeffrey, Molden, Joie, Reid, Kayleigh M., Dowling, Sarah , Wodushek, Thomas, Canton, Diara, Turut, Dilara, Sheppard, Ethan , Scott‐Sutherland, Jennifer, Shaughnessy, Lynn, Beck, Michelle L. , Heisey, Sabrina, Katragadda, Vaishanvi, Yusuff, Amidat, Perlack, Amy, Merisme, Christie, Krause, David, Schulte, Duncan, Dupre, Fabiola, Sanchez, Gina A. Montealegre , Asupoto, Olanike, Simmons, Quinneil, Schroeder, Ryan W. , Timlin, Shannon, Devis, Ycar, Carter, Della, Caceres, Leomaris Caba, Rodríguez, Miguel Grande, Alvarez, Zariya , Yakubov, Amin , Engelson, Celia, Reyes, Michael, Youkhana, Alvin, Jennings, Cheryl , Naquiallah, Dina, Behun, Dylan , Stephen, Ellen, Timm, Emily , Bilimoria, Farrah, Li, Grace , Stricker, Thomas, Michelle, Kang, Minnie, Suarez, Rebeca Tojo, Carmona, Tania, Ramírez, Ana, Kadubek, Grace, Baker, Aileen, Romo-Serna, Andrea, Predki, Barbara, Leman, Cindy, Panhans, Cristina, Roth, Genevieve E., Rudraraju, Gowrisree , Miller, Hannah , DeLisa, Julie A., Williams, Kat, Woodson, Kimberly S., Jennette, Kyle J. , Villanueva, Laura, Norwick, Maria, Martínez, M. T., Rowley, Matt, Carrithers, Michael D. , Pliskin, Neil H. , Pérez, Nicolás , Durkin, Nicole M., Maniar, Nikita, Beety, Rachel, Daspgupta, Raktima, Ramchandran, Ramaswamy, Jaramillo, R., Hasek, Sharon, Macías, S Aguirre, Schuh, Tina , Ialacci, Sarah, Bailey, Christopher , Labbato, Danielle, Hautmann, Amanda , Smith, Beth, Nath, Dia, Meyer, Jessica , DiFrancesco, Kathryn, Pettinato, Kimberly, Curtis, Lynette, Daher, Joviane , Koberssy, Ziad , Mavar, Caleb, Andrefsky, John, Merheb, Alexander, Hernandez, Carla, Baissary, Jhony , Atieh, Ornina , Pereira, Carol, Carpenter, Deborah, Raynor, Jennifer , Brunton, Kristine, Podgoreanu, Andreea, Bunch, P. C., O’Brien, Sean M. , Dickey, Sheila, McNulty, Steven E., Gajjar, Varsha, Neale, Alec C. , Cohen, Cari, Geary, Elizabeth, Campanella, Franco, Anderson, Kirsten, Prestige, Laura, Guidotti-Breting, Leslie, Biewer, Megan, Morton, Melissa , Mathenia, Nicholas, Adeyemi, Oluwadamilola A. , Hengst, Samanike, Ning, Wei , Vanderloo, Adam, Caplan, Amanda, Chen, July, Acree, Mary Ellen , Nakhate, Mukund, Dan, Zaw Nu, Pk, Switzer, Aryal, Shambhu , Sanchez, Jessica, Sims, Luke, Ferdinand, Rebecca , Mammadova, Mehriban, Grimes, Carolyn Z. , Vidales, Elizabeth, Pham, Hau , Nielsen, Laura, Keller, Maryjane, Uruba, Syeda, Hernandez, Maria, Patel, Bela , Umana-Sanchez, Virginia, Pak, Chong, Gainer, Jeffery, BURR, R, Trapuzzano, Ashleigh, Celso, Brian G. , Bienkowski, Grace, Bowman, Jennifer, Verdecia, Jorge , Zerwekh, Kathryn, Serrano, Liliana , Marotz, Meghan, Propp, Piper, Sarig, Yonatan , Murphy, Annie, Comfort, Brandon, Torres, Iri, Klein, Jeffrey A. , Walker, John, Moore, John J., Tempest-Browning, Lisa, Arain, Mudassar, Kemp, Pamela, Sullivan, Samantha, Way, Sonja, Chevalier, Jessica, Sykes, Carly, Kruck, Carrie L., Sackett, L. W., Bang, Claire, Hynes, Mary, Gallagher, Torrey L., Childers-Kakos, Margaret, Zia, Ahmad, South, AP, Oravets, Anne, Ferreyra, Carolyn, Glaze, Chad, Villanueva, Daphne-Dominique , Blystone, Erica, Pritchard, Jane, Alyward, Laura, Cooper, Melissa, Chidester, Michelle, Alderson, R. Matt , Clark, Renee D., Hodder, Sally , Sarwari, Arif R, Juskowich, Joy, Welch, Shelly, Civil, Alyssa, Bendl, Ashley, Dicker, Elisa, Hanson, Hannah, Viola, Heather, Morinigo, Janice, Pantaleon, Karisma, Marcon, Kathryn, Stone, Kimberly, Stewart, Kiwan, Evo-Ortega, Lorraine, McVeety, Megan, Guliyeva, Sabina , Watson, Eric , Pehel, Shayna, Ko, Tim, Caropolo, Leah, Kocas, H. Deniz , O’Donnell, Andrew, Saperia, Corey , Thai, Daniel, Pathak, Divya , Keller, Jennifer M. , Olszewski, Kelly, Clinton, Kimberly, Cherian, Kirsten , Dutton, L M, Elepano, Ma, Mohapatra, Sukanya , Chen, Ting , Wroolie, Tonita, Leang, Zenita, Shashidhar, Sumana, Nguyen, T L, Ravisankar, Ashwath, Weiden, Brycie, Bolliger, Dawn, Glesne, Heather, Dixon, Jennifer , Chebrolu, Praneeth, Gazali, Zarine, Hurst, Whitney, Fry, Avery, Murthy, Ganesh, Grischo, Garrett, Erickson, Heidi L. , Gomez, Isaias, Copeland, Jacquelynn, Galaz, Judy, Autry, Lynn, DiLise-Russo, Marjorie, Marshell, Nikki, Borwege, Sabine, Vadovicky, Sheila, Marsh, Stephanie, Hartley, William, Murtagh, Linda, Kennedy, Anna, Meltzer-Christensen, Annie, Stringham, Caitlyn, Gaskin, Ella, Judd, Melissa, Côté, Sarah , Mahasenan, Shreya, Bjorklund, Todd, Farner, Cheryl E., Taylor, Barbara S. , Soileau, Bridgette, Cote, Cyrena , Hromas, Gabrielle A., Scholler, Irma, Longoria, Lisa, Heard, Patricia, Jones, Johnnie, Tragus, Robin , Harris, Maya, Pinones, Alexis, Anderson, Alyssa , Hastings, Gabrielyd, Courtright, jessica, Jayakumar, Madhumita, Fischer, M, Solis, Pamela, Harteloo, Alex, Elias-Warren, Anna, Nguyen, Daniel , McDonald, Dylan , Rau, Holly , Mernaugh, Jean, Pagulayan, Kathleen F. , Watanabe, Kino, Huden, Kristen, Peabody, Laurel, Mei, Tiffany, Ogunwuyi, Catherine, Cobbina, Esther, Sankar, Ian, Nguyen, Lisa , Fromm, N., Arnold, R. Douglas, Ogu, Stephanie, Yuan, Ying , Ibrahim, Homam , Szum, Izabella, Patel, Jignesh, Sultan, Sonia, Jazayeri, Yasmin, Anderson, Betty Lise, Muñoz, Isabel , Rhys, Logan, Vane, Ryan, Kim, Jessica , Diaz, Leticia M., Yee, Nathan, Gruhn, Robert, Browngoetz, Sarah, Johnson, Elisha, Chand, Arista , Bottrill, Kenneth , Henderson, Kymberly, Johnson, DeArmond, Richard C., Hughes, Trina, Silverstein, A , Silverstein, Adam P , Frontera, Jennifer , Geng, Linda N. , Knopman, David S. , Becker, Jacqueline , Charvet, Leigh , Pilloni, Giuseppina , Huang, Rong, Cox, Wendy, Karwowski, Jeannie, McComsey, Grace A. , Chu, Helen Y. , Ostrosky‐Zeichner, Luis , Fong, Tamara G. , Killgore, William D. S. , Dwyer, Brigid C. , Stringer, William W. , Krishnan, Jerry A , James, Melissa, Johnson, Brandon, Erlandson, Kristine M. , Dowling, Sarah, Hauser, Kristine , Doyle, Michael, Beck, Michelle, Tran, Anh, Altaras, Caroline , Sanchez, Gina, Krengel, Maxine , Ly, Monica T. , Asupoto, Olanike, Schroeder, Ryan, Rodriguez, Miguel, González, David Andrés , Torres, Jimena, García, Maria Luisa , Carrera, Laura, Rutherford, Melissa, Perez, Nicolas, Jaramillo, Ruthie, Smith, Beth, Walkup, Kevin, Scott, Sarah , Mavar, Caleb B., Carpenter, Deborah, Bunch, Pyper, Brown, Richard, Escobar, Carolina, Campanella, Franco, Mathenia, Nicholas, Glickman, Michael S. , Sims, Luke A., Pham, Hoai Phuang, Lopez, John, Hernandez, Maria, Lin, Matthew Junda , Gainer, Jeffery, Brown, Gina , Klein, Jeffrey, Reed, Jessica, Walker, John, Sackett, Lisa, Kaden, Sarah J. , Childers-Kakos, Margaret G, South, Amy, Blystone, Erica, Cooper, Melissa, Alderson, Rachael, Clark, Renee, Bardes, James M. , Hanson, Hannah, Loizos, Maria , Caropolo, Leah J., Fernandez, Luis, Keller, Jennifer, Lin, Rebecca, Brown, Daniel, Dixon, Jennifer, James, Michelle, Kala, Mrinalini , Smith, Ryan S. , Mahasenan, Shreya, Johnson, Hillary, Anderson, Alyssa, Hernandez, Jessica, Sullivan, Michael, Nguyen, Helen , Logue, Jennifer, Mei, Tiffany, Arnold, Rowan, Szum, Izabella , Hatlen, Timothy J. , Anderson, Betty, Munoz, Isabel, Wright, Matthew, Diaz, Leticia, DeCato, Thomas W. , Ortiz, Ernesto, Hildebrand, Lindsey L. , DeArmond, Richard

JAMA Neurology | November 10, 2025 | Volume: 83 | Issue: 1 | Pages: 49

10.1001/jamaneurol.2025.4415 | PMID 41212544 Get It

Importance Treatment for cognitive dysfunction due to postacute sequelae of long COVID (ie, symptoms of fatigue, malaise, weakness, confusion that persist beyond 12 weeks after an initial COVID infection) remains a significant unmet need. Objective To test evidence-based rehabilitation strategies for improving cognitive symptoms in persons with long COVID. Design, Setting, and Participants This was a 5-arm, multicenter, randomized clinical trial of 3 remotely delivered interventions conducted between August 17, 2023, and June 10, 2024. The study took place at 22 trial sites and included the screening of individuals with cognitive long COVID. Interventions Participants were randomized to 1 of 5 arms: adaptive computerized cognitive training (BrainHQ [Posit Science]), cognitive-behavioral rehabilitation involving both group and individual counseling sessions (PASC-Cognitive Recovery [PASC-CoRE]) paired with BrainHQ, and transcranial direct current stimulation (tDCS) paired with BrainHQ. Two comparator arms were included as follows: unstructured computer puzzles and games (active comparator) and sham tDCS paired with BrainHQ. The interventions occurred 5 times per week over 10 weeks. Main Outcomes and Measures Cognitive and behavioral in-person assessments were performed at baseline, midintervention, at the end of intervention, and 3 months after the end of the intervention. The primary outcome measure was the modified Everyday Cognition Scale 2 (ECog2) completed at the end of the intervention compared to the baseline visit based on participant self-report looking back over the prior 7 days. Results A total of 378 individuals were screened, from which there were 328 participants (median [IQR] age, 48.0 [37.0-58.0] years; 241 female [73.5%]; race: 15 Asian [4.6%], 47 Black [14.3%], and 235 White [71.6%]; ethnicity: 52 Hispanic [15.9%]). None of the 3 active interventions demonstrated benefits on the modified ECog2 in the intention-to-treat population by the end of the intervention period. The adjusted differences in mean change were 0.0 (95% CI, −0.2 to 0.2) for BrainHQ vs active comparator, 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs active comparator, 0.0 (95% CI, −0.2 to 0.2) for tDCS-active + BrainHQ vs tDCS-sham + BrainHQ, and 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs BrainHQ alone. Secondary participant-reported outcomes and neuropsychological tests showed no differential benefits for any treatment arm. All 5 arms demonstrated some improvements over time on the modified ECog2 and on secondary outcomes. There were no serious adverse events attributable to the interventions. Conclusions and Relevance This phase 2 randomized clinical trial failed to demonstrate differential benefits for online cognitive training, a structured cognitive rehabilitation program, and tDCS for cognitive long COVID. Trial Registration ClinicalTrials.gov Identifier: NCT05965739 .
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.

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.

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.
Differences Between Cystatin C- and Creatinine-Based eGFR and the Risk of Postoperative Complications and Mortality
Pu, Wei-yi, Wang, Yiwei, Larson, Nicholas B., Lieske, John C., Zhou, Leting, Pu, Wei-yi, Wang, Yiwei, Larson, Nicholas B., Lieske, John C., Zhou, Leting

Journal of the American Society of Nephrology | November 10, 2025 | Volume: 36 | Issue: 10S | Pages: No page available

10.1681/asn.2025bqw9xg7e Get It