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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

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) <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<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<0.001 and <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<0.001 and <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.
Role of Communication Skills Training in Enhancing Medical Education and Care for Disorders of Gut‐Brain Interaction
Petrik, Megan , FOX, J, Singh, Manavjot , Mitsuhashi, Shuji , Wang, Xiao Jing , Fox, Jean, Simonetto, Douglas A , Wang, Xiao Jing , Simonetto, Douglas A.

Neurogastroenterology & Motility | July 18, 2026 | Volume: 38 | Issue: 7 | Pages: No page available

10.1111/nmo.70400 | PMID 42470228 Get It

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.

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.
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

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.
Plasma Phosphorylated Tau 217 in Participants at Risk for Chronic Traumatic Encephalopathy
Miner, A, Zetterberg, Henrik, Blennow, Kaj, Groh, Jenna R., Singh, Alpana, Dieckhoff, Kari, Tripodis, Yorghos, Adler, Charles H., Balcer, Laura J. , Bernick, C L, Peskind, Elaine, Asken, Breton M., Tanner, Jeremy A., Rabinovici, Gil D., Banks, Sarah J., Barr, William B., Wethe, Jennifer V., Cantu, Robert C., Dodick, David W., Mez, Jesse, Palmisano, J, Martin, Brett, Stein, Thor D., McKee, Ann C., Cummings, Jeffrey L., Shenton, Martha E., Reiman, E Bieto, Rc, Stern, Ashton, Nicholas J., Alosco, Michael L., Chen, Kewei, Protas, Hillary, Su, Yi, Boker, Connie, Au, Rhoda, Farrer, Lindsay, Helm, Robert, Kowall, Neil, Mercier, Gustavo, Otis, James, Weller, Jason, Bragg, Tahlia, Simkin, Irene, Trujillo-Rodriguez, Diana, Amerongen, Suzan van , Andino, Alondra, Conneely, Shannon, Diamond, Courtney, Fagle, Tessa, Haller, Olivia, Hunt, Tennyson, Gullotti, Nicole, Kossow, Bailey, Kugelmass, Carrie, Mariani, Megan, Mayville, Brian, McLaughlin, Kathleen, Nanna, Mary, DiPopolo, Marty, Platt, Taylor, Rice, Fiona, Sestak, Madison, McClean, Michael, Annis, Douglas, Chaisson, Christine, Dixon, Diane, Finney, Carolyn, Gallagher, Kerrin, Hartlage, Kaitlin , Lu, Jun, Ojo, E O, Pine, Brittany, Ramachandran, Janani, Baucom, Zachary, Tuz‐Zahra, Fatima , Yhang, Eukyung , Bouix, Sylvain, Fitzsimmons, Jennifer, Lin, Alexander P., Koerte, Inga K., Pasternak, Ofer, Arciniega, Hector , Billah, Tashrif , Bonke, Elena, Breedlove, Katherine M. , Carrington, Holly, Coello, Eduardo , Coleman, Michael J., John, Omar , Jung, Leonard, Liao, Huijun, Loy, Maria, Rizzoni, Elizabeth, Schulz, V. D., Silva, Annelise, Vessey, Brynn, Wiegand, Tim L.T, Miller, Jason, Ritter, Aaron , Sabbagh, Marwan, Cruz, Raelynn de la, Durant, Jan, Golceker, Morgan, Harmon, Nicolette, Kaylegian, Jaeson, Long, Rachelle, Nance, Christine, Sandoval, Priscilla, Staples, Miranda, Clark, Emma F., Serrano, Andrew, Geda, Yonas, Duffy, Amy, Falk, Bryce, Howard, Marci, Montague, Michelle , Osgood, Thomas, Babcock, Debra, Bellgowan, Patrick, GOLDBERG, JUDITH, Joseph, Binu , Kirov, Ivan, Lui, Yvonne, Marmar, Charles, Wisniewski, T R, Al-Kharafi, Alhassan, George, Allan, Hasanaj, Lisena, Martin, Sammie, Riley, Edward, Runge, William, Serrano, Liliana , Iliff, Jeffrey, Li, Gail, Janssen, D, Meabon, James, Piantino, Juan, Schindler, Abigail, Thomas, Ronald, Colasurdo, Elizabeth , Shofer, Jane, Marcus, Daniel S., Gurney, Jenny , Greenwald, Richard, Johnson, Keith A., Singh, Alpana , Singh, Alpana , Miner, Annalise E., Zetterberg, Henrik , Blennow, Kaj , Groh, Jenna R. , Singh, Alpana, Tripodis, Yorghos , Adler, Charles H. , Bernick, Charles , Peskind, Elaine R. , Asken, Breton M. , Rabinovici, Gil D. , Banks, Sarah J. , Barr, William , Wethe, Jennifer V. , Cantu, Robert C. , Dodick, David W. , Mez, Jesse , Stein, Thor D. , McKee, Ann C. , Cummings, Jeffrey L. , Shenton, Martha E. , Reiman, Eric M. , Ashton, Nicholas J. , Alosco, Michael L. , Protas, Hillary , Au, Rhoda, Weller, Jason , Trujillo‐Rodriguez, Diana , Fagle, Tessa, Mariani, Megan, McLaughlin, Kathleen , Pulukuri, Surya Vamsi , Sestak, Madison, McClean, Michael D , Annis, Douglas, Finney, Carolyn, Lu, Jun, Pine, Brittany, Ramachandran, Janani , Baucom, Zachary, Bouix, Sylvain , Koerte, Inga K , Pasternak, Ofer , Bonke, Elena M. , Carrington, Holly , Coleman, Michael J. , Liao, Huijun, Schulz, Vivian, Wiegand, Tim L. T. , II, Robert W. Turner , Marek, Kenneth , Geda, Yonas E. , Howard, Marci, Montague, Michelle, Babcock, Debra, Bellgowan, Patrick S.F. , Kirov, Ivan, George, Allan, Meabon, James S. , Piantino, Juan , Thomas, Ronald G. , Colasurdo, Elizabeth A. , Shofer, Jane, Marcus, Daniel S., Johnson, Keith A.

JAMA Network Open | July 13, 2026 | Volume: 9 | Issue: 7 | Pages: e2622966

10.1001/jamanetworkopen.2026.22966 | PMID 42440317 Get It

Importance In vivo biomarkers for detecting neuropathologies from repetitive head impacts (RHI), including chronic traumatic encephalopathy (CTE), are needed. Objective To evaluate the utility of plasma phosphorylated tau 217 (p-tau217), assess its performance as a beta-amyloid (Aβ) biomarker in participants with RHI exposure at risk for CTE, and explore concordance with CTE neuropathology in a postmortem subsample. Design, Setting, and Participants This longitudinal, multicenter, case-control study used data from the Diagnostics, Imaging, and Genetics Network for the Objective Study and Evaluation of CTE (DIAGNOSE CTE) Research Project, collected from September 2016 to October 2023. Participants were former American football players (case participants) and asymptomatic men unexposed to RHI (control participants). A subsample had available neuropathologic data. Exposures RHI, traumatic encephalopathy syndrome (TES) diagnoses, and levels of CTE certainty. Main Outcomes and Measures Plasma p-tau217 (classified as positive [≥0.63 pg/mL], intermediate [0.40-0.62 pg/mL], and negative [<0.40 pg/mL]), Aβ–positron emission tomography (PET; 18 F-florbetapir; with Aβ-positive defined as a standardized uptake value ratio [SUVR] ≥1.10), and tau-PET ( 18 F-flortaucipir). TES diagnoses were assigned by multidisciplinary consensus conference. Analyses of postmortem brains controlled for age, race, and APOE ε4 status. Results Among 231 participants (mean [SD] age, 57.75 [8.25] years), 177 were former football players (117 professional and 60 college) and 54 were unexposed participants. Former football players had higher baseline mean (SD) p-tau217 concentrations than unexposed participants (0.35 [0.26] pg/mL vs 0.27 [0.14] pg/mL; P = .008), although this was driven by a higher proportion of Aβ-PET–positive participants among former players. Plasma p-tau217 increased over time across the sample (B = 0.207 [95% CI, 0.117-0.298]; P < .001), with no significant time × exposure group interactions. Among football players, p-tau217 showed no time × group interactions with TES diagnosis, TES-CTE certainty, or RHI metrics. Higher p-tau217 concentration correlated with higher global Aβ-PET SUVR (B = 0.058 [95% CI, 0.053-3.501; P = .01), with a few discordant cases (5 participants were p-tau217–negative and Aβ-PET–positive; 7 participants were p-tau217–positive and Aβ-PET–negative). P-tau217 had similar areas under the curve for projecting Aβ-PET positivity as cerebrospinal fluid (CSF) p-tau181/Aβ42 and CSF Aβ40/42 measures (p-tau217: AUC, 0.88 [95% CI, 0.80-0.96]; CSF p-tau181/Aβ42: AUC, 0.89 [95% CI, 0.79-1.00]; CSF Aβ40/42: AUC, 0.85 [95% CI, 0.72-0.98]). Among 9 brain donors, 6 had CTE (stages II-IV; none with Alzheimer disease). Seven had negative or intermediate p-tau217, concordant with Aβ-PET. Two p-tau217 outliers with stage III CTE had normal concentrations upon additional testing. Conclusions and Relevance The findings of this study suggest that plasma p-tau217 concentration is unlikely to be useful for the detection of CTE, but it does show utility for ruling out Aβ pathology in participants at risk for CTE.
Software engineers develop better clinical applications than physicists with coding skills
Moseley, D , Park, Yang Kyun, Wang, Dongxu, Moseley, Douglas

Journal of Applied Clinical Medical Physics | July 8, 2026 | Volume: 27 | Issue: 7 | Pages: No page available

10.1002/acm2.70687 | PMID 42415268 Get It

Patient-Centered Approach to Surgical Prevention of Ovarian Cancer
Lu, Karen H., Chisholm, Gary B. , Peterson, C., Roche, Kara Long , Bakkum-Gamez, Jamie, Feltmate, Colleen, Kim, Sarah, Hagemann, Andrea R. , Carter, Jeanne , Hickey, Martha, Crase, Jamie , Gavin, K, Polinsky, Deborah , D'Andrea, AD, Lu, Karen H. , Norquist, Barbara M. , Bakkum‐Gamez, Jamie N. , Romero, Iris L. , Feltmate, Colleen M. , Levine, Douglas A. , Hickey, Martha , Gavin, Kathleen , D’Andrea, Alan D. , Nebgen, Denise R. , Swisher, Elizabeth M.

JAMA Network Open | July 7, 2026 | Volume: 9 | Issue: 7 | Pages: e2622026

10.1001/jamanetworkopen.2026.22026 | PMID 42412428 Get It

Importance Risk-reducing salpingo-oophorectomy (RRSO) is an effective option to prevent ovarian cancer in high-risk individuals, but adverse effects from premature menopause are a barrier to uptake. Interval salpingectomy with delayed oophorectomy (ISDO) may be an effective alternative. Objective To evaluate the association of ISDO vs RRSO and sexual function and menopausal symptoms. Design, Setting, and Participants This prospective, multicenter, nonrandomized (patient preference) clinical trial was performed among Women Choosing Surgical Prevention participants with a pathogenic or likely pathogenic germline variant conferring an increased risk for ovarian cancer. Patients from 9 US centers were enrolled from June 2, 2016, to October 28, 2020; chose ISDO or RRSO; and were followed up for 24 months. The analysis was performed on November 13, 2024. Interventions Participant-selected RRSO or ISDO. Main Outcomes and Measures Changes in sexual function and menopausal symptoms from baseline to 6, 12, and 24 months. Inverse probability weighting was applied to achieve covariate balance across groups. Results The analytic sample included 334 female participants (mean [95% CI] age at consent, 39.2 [38.7-.9.7] years) who underwent RRSO (n = 165) or ISDO (n = 169) and completed 6-month questionnaires. Significantly more participants experienced clinically meaningful worsening of sexual function at 6 months compared with baseline after RRSO vs ISDO (33.1% [39 of 118] vs 16.8% [17 of 101], respectively; odds ratio, 2.00 [95% CI, 1.20-3.35]) and at 12 months (39.2% [38 of 97] vs 18.3% [17 of 93], respectively; odds ratio, 1.69 [95% CI, 1.09-2.63]). This finding was no longer significant at 24 months. When restricted to the RRSO group who took hormone replacement therapy, there was no significant worsening of total sexual function scores or menopausal symptoms compared with baseline. No interval ovarian cancers were reported. Conclusions and Relevance This nonrandomized clinical trial comparing RRSO with ISDO found that ISDO was less likely to impair sexual function, which addresses an important barrier to surgical prevention in high-risk patients in premenopause. After RRSO, use of hormone replacement therapy mitigated menopausal symptoms and prevented decline in sexual function. More information is needed about the safety of ISDO. Trial Registration ClinicalTrials.gov Identifier: NCT02760849
Real-World Outcomes with BCMA- and GPRC5D-Targeting Bispecific Antibodies in Plasma Cell Leukemia
Gaballa, Mahmoud R. , Julian, Kelley , Afrough, Aimaz , Hansen, Doris K. , Goel, Utkarsh , Corraes, Andre De Menezes Silva, Dima, Danai , Rana, Masooma , Hosoya, Hitomi , Mikkilineni, Lekha , Fogel, Lindsay , Raza, Shahzad, Zanwar, Saurabh , Sannareddy, Aishwarya, Borogovac, Azra , Green, Kimberly M , Biran, Noa, Shune, Leyla, Ouchveridze, Evguenia, DeJarnette, Shaun, Ferreri, Christopher J, Richards, Tiffany, Bal, Susan , Ye, Jing Christine, Shain, Kenneth H. , Harada, Ken , Avila, Gabriel De, Voorhees, Peter, Khouri, Jack , Sidana, Surbhi , Lin, Yi, Patel, Krina K. , Sborov, Douglas W. , Gaballa, Mahmoud , De Menezes Silva Corraes, Andre , Banerjee, Rahul , Zanwar, Saurabh S , Borogovac, Azra , Davis, James A , Green, Kimberly , Zolotov, Eli , Herr, Megan M. , Abid, Muhammad Bilal , Bal, Susan , Ali, Hossam M , Kaur, Gurbakhash , Shain, Kenneth H , Castaneda Puglianini, Omar , Hassan, Hamza , Anderson, Larry D , Khouri, Jack , Sidana, Surbhi , Portuguese, Andrew J , Janakiram, Murali , Lee, Hans C , Patel, Krina , Sborov, Douglas W , Dima, Danai , Hosoya, Hitomi , Rana, Masooma S , Julian, Kelley L , Hansen, Doris K , Corraes, Andre De Menezes Silva , Raza, Shahzad , Banerjee, Rahul , Pasvolsky, Oren , Sannareddy, Aishwarya , Davis, James A. , Biran, Noa , Zolotov, Eli , Shune, Leyla , Atrash, Shebli , Ferreri, Christopher J. , Richards, Tiffany, Abid, Muhammad Bilal , Ali, Hossam M. , Ye, Jing Christine, Richard, Shambavi , Kaur, Gurbakhash , Puglianini, Omar Castañeda , Rossi, Adriana , Hassan, Hamza , Anderson, Larry D. , Voorhees, Peter M. , Portuguese, Andrew J. , Janakiram, Murali , Lee, Hans C. , Grajales‐Cruz, Ariel

Blood Advances | July 2, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1182/bloodadvances.2026020826 | PMID 42392158 Get It

Patients with plasma cell leukemia (PCL) are generally excluded from pivotal T-cell redirecting bispecific antibody (BsAb) trials. We evaluated real-world outcomes in a multicenter retrospective study of 122 patients with primary or secondary PCL across 15 academic centers, categorized as 'active' (≥5% circulating plasma cells within 30 days of BsAb initiation) or 'historical'. In a heavily pretreated population, patients received teclistamab (37%), elranatamab (11%), talquetamab as a line of therapy (Tal LOT, 42%), or talquetamab as bridging therapy to CAR-T (Tal Bridge, 11%). Cytokine release syndrome (CRS) was grade 1-2 in 56% and grade 3-4 in 4%, whereas neurotoxicity was grade 1-2 in 16% and grade 3-4 in 5%. Among 110 evaluable patients, the overall response rate (ORR) was 55%, including 61% with Tal LOT, 58% with Tal Bridge, 46% with elranatamab, and 33% with teclistamab. With a median follow-up of 8.3 months, talquetamab demonstrated superior survival. Tal LOT showed a median progression-free survival (mPFS) of 5.5 months and a median overall survival (mOS) of 11.5 months, and both were unreached in the Tal Bridge cohort. In contrast, teclistamab and elranatamab showed a mPFS of 1.2 and 1.6 months and mOS of 8.1 and 3.6 months, respectively (P=0.007, P=0.023). In active PCL, Tal LOT achieved mPFS/mOS of 6.9/12.2 months versus 0.7/1.4 months with teclistamab and 1.0/3.1 months with elranatamab, respectively (P<0.001, P=0.002). Multivariable analysis associated active PCL with worse survival and Tal LOT with improved outcomes. BsAbs were safe in PCL, with talquetamab showing superior outcomes compared with BCMA-directed BsAbs.
Expert Clinical Consensus on Body Surface Gastric Mapping Phenotypes for Gastroduodenal Disorders: ‘Auckland Classification’ v1.0
Varghese, Chris , Dachs, Nicky , Schamberg, Gabriel , Abell, Thomas, Al‐Haddad, Mohammad, Angeli, Timothy R. , Ayubi, Homira , Bashashati, Mohammad , Bulat, Robert, Calder, Stefan, Cederwall, Christopher Brian, Chang, Bianca W. , Cheng, Leo K. , Clarke, John, Daker, Charlotte , Du, Peng, Erickson, Jon, Eriksson, Sven, Fikree, Asma , Foong, Daphne , Fox, Mark, Goenka, Mahesh, Haidry, R, Holtman, Gerald, Hobson, Anthony , Koloski, Natasha, Kuo, Braden, Law, Mikaela, Levinthal, D., Liu, Joy , Mathur, Prateek , Moshiree, Baharak, Ngo, Catherine, Nguyen, Linda, Oblizajek, Nicholas R. , Parkman, Henry P., Podboy, Alexander, Rezaie, Ali, Simmonds, Sam , Sivakumar, Jonathan , Sirimongkolkasem, Jarongkorn , Sonu, Irene, Stocker, Abigail, Sujka, Joseph, Tack, Jan, Weinstein, Douglas, Windsor, John, Zarate‐Lopez, Natalia, Andrews, Christopher N., O'Grady, Greg, Clarke, John O. , Angeli-Gordon, Timothy R , Chang, Bianca , Cheng, Leo K , Daker, Charlotte , Ghoshal, Uday C , Hasler, W L , Ho, Vincent , Keszthelyi, Daniel , Khalsa, Sahib S , Liu, Joy J , Neshatian, Leila , Oblizajek, Nicholas R , Pandanaboyana, Sanjay , Sharma, Amol , Wang, Xiao Jing , Xu, William , Varghese, Chris , Clarke, J , Schamberg, Gabriel , Al‐Haddad, Mohammad , Ayazi, Shahin , Bulat, Robert, Calder, Stefan , Cederwall, Chris, Du, Peng , Erickson, Jonathan C. , Ghoshal, Uday C. , Hasler, William L. , Hayee, Bu , Ho, Vincent , Huang, I‐Hsuan , Khalsa, Sahib S. , Kuo, Braden , Kunkel, David C. , Law, Mikaela , Levinthal, David J. , Moshiree, Baharak , Neshatian, Leila , Parkman, Henry P. , Podboy, Alexander , Rezaie, Ali , Sonu, Irene S. , Stocker, Abigail, Sujka, Joseph , Tack, Jan , Verdonk, Charles , Wang, Xiao Jing , Wongjarupong, Nicha , Xu, William , Andrews, Christopher N. , Gharibans, Armen A.

Neurogastroenterology & Motility | July 1, 2026 | Volume: 38 | Issue: 7 | Pages: No page available

10.1111/nmo.70377 | PMID 42381563 Get It

ABSTRACT Introduction Chronic gastroduodenal disorders remain challenging to manage, and new diagnostic approaches are needed to better delineate underlying causes and guide therapeutic decisions. Body Surface Gastric Mapping (BSGM) technologies combine high‐resolution gastric myoelectrical activity measurements with symptom and psychological profiling to provide mechanistic insights into gastric motor and sensory dysfunction. An International Working Group convened to derive the first consensus classification of BSGM phenotypes (the “Auckland Classification”). Methods A Technical Group conducted a systematic literature and clinical database review to identify objective test biomarkers and candidate disease mechanisms. Evidence was synthesized across 50 studies (primarily in gastroparesis, chronic nausea and vomiting, and functional dyspepsia), and BSGM phenotypes were mapped to existing treatment guidelines. Subsequently, iterative review and development of consensus was performed by a Consensus Group composed of international clinical experts familiar with BSGM. Eleven statements underlying the classification were then derived and circulated as a final survey to establish agreement. Results Six BSGM phenotypes were endorsed: three defined by myoelectrical abnormalities (Dysrhythmic, High Frequency, and Low Meal Response) and three by characteristic symptom associations (Sensorimotor, Continuous, and Delayed Onset Symptoms). Published studies plausibly linked these phenotypes to mechanisms including interstitial cell of Cajal depletion, vagal impairment, hypomotility, visceral hypersensitivity, gut‐brain dysregulation, and small bowel dysfunction. Phenotypes were also mapped to existing mechanism‐based treatment guidelines. Ten out of the eleven statements had > 80% agreement. Conclusions The Auckland Classification, derived by international consensus, presents a structured framework for BSGM‐defined patient phenotypes. Evidence and mechanism‐based treatment options are suggested for each phenotype to provide a foundation for research, further validation, and a pathway for integrating BSGM into clinical care.
Supra-papillary versus trans-papillary stenting for malignant biliary obstruction: an updated meta-analysis of randomized trials
Antunes, Vanio, Correa, Tulio L., Milioli, Natália Junkes , Baraldo, Stefano , Mohan, Babu P., Adler, Douglas G., Martins, Otavio Cosendey, Martins, Otávio Cosendey , Antunes, Vânio , Mesquita, Cynthia Florêncio de , Fernandes, Matheus Vanzin , Mohan, Babu P. , Adler, Douglas G.

Scandinavian Journal of Gastroenterology | June 30, 2026 | Volume: No volume available | Issue: No issue available | Pages: 1-4

10.1080/00365521.2026.2694745 | PMID 42374839 Get It