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Manifestations of Structural Racism and Inequities in Cardiovascular Health Across US Neighborhoods
Lawrence, Wayne R. , Williams, Faustine , Dyer, Zachary , Bergeron, Nyahne Q. , Crittendon, Denine R. , Jackson, Sarah S. , McGee‐Avila, Jennifer K. , Pichardo, Catherine M. , Turney, Indira C. , Lawrence, Wayne R , Hong, Hyokyoung G. , Williams, Faustine , Brewer, LaPrincess C. , Chen, Yingxi , Freedman, Neal D. , Haas, Cameron B. , Martz, Connor D. , Ormiston, Cameron K. , Rogers, Charles R. , Santiago-Rodríguez, Eduardo J. , Shariff‐Marco, Salma , Powell‐Wiley, Tiffany M. , Zhang, Wangjian , Shiels, Meredith S.

JAMA Health Forum | October 31, 2025 | Volume: 6 | Issue: 10 | Pages: e253864

10.1001/jamahealthforum.2025.3864 | PMID 41171261 Get It

Importance The prevalence of cardiovascular disease differs substantially across neighborhoods. However, few studies have examined the contribution of neighborhood-level structural racism to inequities in cardiovascular health. Objective To investigate the association between neighborhood-level manifestations of structural racism and the prevalence of cardiovascular clinical and behavioral risk factors and cardiovascular diseases. Design, Setting, and Participants This cross-sectional study consisted of 71 915 US census tracts. The Structural Racism Effect Index (SREI) was appended to the 2020 Centers for Disease Control and Prevention’s PLACES dataset. Race and ethnicity were self-reported and obtained from the 2019 American Community Survey 5-year estimates. Data analysis was conducted from June 2024 to October 2024. Exposure The SREI is a composite score of census tract measures within 9 domains affected by structural racism (built environment, criminal justice, education, employment, housing, income and poverty, social cohesion, transportation, and wealth). The SREI scores were categorized into distribution-based quintiles, where higher quintiles represented greater neighborhood structural racism. Main Outcomes and Measures Neighborhood-level prevalence of cardiovascular clinical (high blood pressure, high cholesterol, obesity, and diabetes) and behavioral (current cigarette smoking and no leisure-time physical activity) risk factors and cardiovascular disease (coronary heart disease and stroke). Multilevel-linear mixed models, adjusting for confounders, were used to estimate adjusted prevalence rate ratios (aPRR). Results Among 71 915 census tracts, neighborhoods in the highest quintiles of structural racism were more likely than neighborhoods in the lowest quintile to be in the southern region (quintile 1, 19.9% vs quintile 5, 56.8%). The proportion of the population that was Black was largest in neighborhoods in the highest quintile of structural racism (quintile 1, 2.2% vs quintile 5, 23.0%). After adjustment, compared with the lowest quintile of structural racism, the highest quintile had significantly higher prevalence rates of cardiovascular clinical risk factors, including high blood pressure (aPRR, 1.37; 95% CI, 1.37-1.38), obesity (aPRR, 1.40; 95% CI, 1.39-1.40), and diabetes (aPRR, 1.80; 95% CI, 1.79-1.81). Similarly, for cardiovascular behavioral risk factors, the highest quintile of structural racism had significantly higher prevalence rates of current cigarette smoking (aPRR, 1.84; 95% CI, 1.83-1.85) and no leisure-time physical activity (aPRR, 1.88; 95% CI, 1.87-1.89). Additionally, for cardiovascular diseases, the highest quintile of structural racism had higher prevalence rates of coronary heart disease (aPRR, 1.80; 95% CI, 1.79-1.82) and stroke (aPRR, 1.99; 95% CI, 1.98-2.00). Conclusions and Relevance In this cross-sectional study, structural racism was associated with inequities in neighborhood cardiovascular health, highlighting opportunities for place-based prevention efforts.
A Prognostic Signature for Lung Adenocarcinoma in Patients Who Have Never Smoked
Wei, Zhao , Zhang, Tongwu , Hua, Xing , Hoang, Phuc H. , Miraftab, Mona , Saha, Monjoy , McElderry, John, Sang, Jian , Lee, Olivia W. , Hartman, Caleb , Sharma, Sunandini , Colón-Matos, Frank J. , Anyaso‐Samuel, Samuel , Hutchinson, Amy , Hicks, Belynda , Rosenbaum, Jennifer, Zhong, Xiaoming , Yang, Yang , Leung, Kin Chung, Wong, Maria Pik , Mańczuk, Marta , Shangina, Oxana , Заридзе, Давид , Milosavljević, Saša , Ognjanovic, Simona , Savić, Milan , Gaborieau, Valérie , Brennan, Paul , Edell, Eric S. , Más, Luís , Chen, Chih‐Yi , Chang, I‐Shou , Hsiung, Chao A. , Liu, Geoffrey , Santamaría, Juan Miguel , Mutreja, Karun , Rothman, Nathaniel , Leduc, Charles , Sholl, Lynette M. , Lan, Qing , Yang, Lixing , Shi, Jianxin , Landi, Maria Teresa , Zhao, Wei , McElderry, John P , Khandekar, Azhar , Sharma, Sunandini , Colón-Matos, Frank J , Anyaso-Samuel, Samuel , Wang, Difei , Jones, Kristine , Hutchinson, Amy , Hicks, Belynda , Rosenbaum, Jennifer , Zhong, Xiaoming , Yang, Yang , Pesatori, Angela C , Consonni, Dario , Christiani, David C. , Leung, Kin Chung , Wong, Maria Pik , Manczuk, Marta , Lissowska, Jolanta , Świątkowska, Beata , Mukeria, Anush , Shangina, Oxana , Zaridze, David , Holcatova, Ivana , Mates, Dana , Milosavljevic, Sasa , Ognjanovic, Simona , Savic, Milan , Kontic, Milica , Gaborieau, Valerie , Brennan, Paul , Arrieta, Oscar , Bossé, Yohan , Schabath, Matthew B , Hofman, Paul , Mas, Luis , Yendamuri, Sai S , Chen, Chih-Yi , Chang, I-Shou , Hsiung, Chao Agnes , Liu, Geoffrey , Martinez Santamaría, Jacobo , Gould Rothberg, Bonnie E , Mutreja, Karun , Lawrence, Scott M. , Rothman, Nathaniel , Alexandrov, Ludmil B , Leduc, Charles , Baine, Marina K , Joubert, Philippe , Sholl, Lynette , Travis, William D , Homer, Robert , Lan, Qing , Chanock, Stephen Jacob , Yang, Lixing , Yang, Soo-Ryum , Shi, Jianxin , Landi, Maria T , Lissowska, Jolanta , Świątkowska, Beata , Holcátová, Ivana , Mateș, Dana , Arrieta, Óscar , Bossé, Yohan , Schabath, Matthew B. , Alexandrov, Ludmil B. , Travis, William D. , Homer, Robert

Cancer Discovery | October 30, 2025 | Volume: 16 | Issue: 3 | Pages: 460-477

10.1158/2159-8290.cd-25-0581 | PMID 41165571 Get It

Abstract Understanding tumor cell dynamics can improve prognosis and treatment but remains limited for lung adenocarcinoma in people who have never smoked (NS-LUAD). With RNA sequencing data from 684 NS-LUAD cases and validation in an independent dataset, we identified three subtypes with distinct phenotypic traits and cell compositions. Additional genomic and histologic data further characterized the subtypes. “Steady,” marked by low proliferation, high alveolar cell fraction, moderate-to-well differentiation, and fewer driver gene alterations, is linked to prolonged survival and low immune evasion. “Proliferative” shows high proliferation markers, TP53 mutations, and gene fusions. “Chaotic,” with high epithelial-to-mesenchymal transition markers, has the worst prognosis, even within stage I tumors. Lacking known molecular or histologic characteristics, this aggressive subtype is solely identified by transcriptomic data. A 60-gene signature recapitulates the classification and predicts survival even within subgroups based on tumor stage or known genomic features, emphasizing its potential for improving early-stage NS-LUAD prognostication in clinical settings. Significance: The transcriptome of 684 NS-LUAD identifies three subtypes with different cellular dynamics and genomic and morphologic features. A 60-gene signature accurately stratifies subjects for mortality risk, even in stage I, offering a potential clinically applicable tool for treatment decision-making in patients with NS-LUAD. See related commentary by Azizi et al., p. 423
(010) UNVEILING THE IMPACT OF BODY MASS INDEX ON OVERALL OUTCOMES OF INFLATABLE PENILE PROSTHESIS PLACEMENT: INSIGHTS FROM AN INTERNATIONAL, MULTI-CENTER INVESTIGATION
Hammad, MAM, Gross, MS, Andrianne, Robert, Burnett, AL, Gross, Kelli, Hatzichristodoulou, G, Lentz, A, Modgil, Vaibhav , Perito, P, Hotaling, JM, Park, SH, Pearce, Ian , Sadeghi‐Nejad, Hossein , Sempels, Maxime, Suarez-Sarmiento, A, Renterghem, Katrien Van, Warner, J, Ziegelmann, Matthew , Hsieh, TC, Karthikeyan, Hridhay, Simhan, Jay , Yafi, FA, collaborators, on behalf of the PUMP (Prosthetic Urology Multi-institutional Partnership), Barham, DW, Hammad, Muhammed , Miller, Jake A. , Chawareb, Elia Abou , Amini, Erfan , Hatzichristodoulou, Georgios , Lentz, A, Osmonov, D, Suarez‐Sarmiento, Alfredo, Azad, Babak Kazemzadeh , Jenkins, Lawrence C. , Jones, James M. , collaborators, on behalf of the PUMP (Prosthetic Urology Multi-institutional Partnership), Barham, DW

The Journal of Sexual Medicine | October 25, 2025 | Volume: 21 | Issue: Supplement_6 | Pages: No page available

10.1093/jsxmed/qdae161.010 Get It

Abstract Introduction Obesity, defined as an elevated Body Mass Index (BMI) >30, is a prevalent public health concern with far-reaching implications for various medical procedures and outcomes. In the context of inflatable penile prosthesis placement (IPP), where patient well-being and surgical success are of paramount importance, the impact of obesity on postoperative and intraoperative complications warrants thorough investigation. Objective Our study aimed to investigate the impact of BMI on both postoperative and intraoperative complications in an international, multi-institutional cohort of patients who underwent IPP placement. Methods We performed a retrospective chart review of 4398 cases. These cases were divided into two distinct groups based on BMI: less than 30 (n = 2260) and greater than or equal to 30 (n = 2138). The study assessed various surgical factors as well as complications, including overall complications, corporal scarring, incontinence, intraoperative complications, proximal perforation, distal perforation, proximal crossover, distal crossover, and urethral injury. Results Our analysis revealed that there were no statistically significant differences in intraoperative or postoperative complications between the two BMI categories. Notably, proximal corporal measurement was significantly higher for >30 BMI group (9.55 +/−2.18) compared to <30 BMI group (9.14 +/−2.19), (p = < 0.001). The incidence rates for overall complications (30.2% vs. 28.7%; p = 0.164), corporal scarring (18.2% vs. 16.7%; p = 0.36), incontinence (3.53% vs. 3.13%; p = 0.076), intraoperative complications (1.94% vs. 1.68%; p = 0.253), and specific complications all exhibited no significant differences. Similarly, post-operative complications, including both non- infectious (6.99% vs. 6.22%; p = 0.215) and infectious (2.61% vs. 1.87%; p = 0.165) complications, did not significantly vary between BMI categories. Conclusions Our findings indicate that BMI does not exert a statistically significant influence on postoperative and intraoperative complications in the context of high-volume prosthetic urology. In the absence of any other differences between patients of differing BMIs, surgeons may need to be mindful of pump tubing length concerns in obese patients. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Coloplast, Clarus Therapeutics, Antares Pharma, Acerus.
Cost-Effectiveness and Evidence Gaps Surrounding PSMA-PET for Recurrent Prostate Cancer Evaluation
Long, Jessica B., Sprenkle, Preston C. , Kim, Isaac Yi , Saperstein, Lawrence, Rabil, Maximilian , Ghaffar, Umar , Karnes, R. Jeffrey , Ma, Xiaomei , Gross, Cary P. , Leapman, Michael S., Kunst, Natalia , Wang, Shi‐Yi

JAMA Network Open | October 24, 2025 | Volume: 8 | Issue: 10 | Pages: e2539250

10.1001/jamanetworkopen.2025.39250 | PMID 41134573 Get It

Importance Prostate-specific membrane antigen positron emission tomography (PSMA-PET), a form of molecular imaging, increases detection of advanced and metastatic prostate cancer, but its potential to increase treatment costs due to increased detection is poorly defined. Objective To estimate lifetime health and cost outcomes and evaluate the cost-effectiveness associated with implementing PSMA-PET in the clinical evaluation of a patient with a biochemical recurrence (BCR) of prostate cancer, with evaluation of sources of uncertainty in the underlying evidence and assessment of the need and focus of additional data collection. Design, Setting, and Participants This economic evaluation developed a decision-analytic model consisting of a decision tree and a Markov model informed by published literature and a study of patients with BCR prostate cancer undergoing PSMA-PET after definitive surgery or radiation therapy at 2 high-volume US academic centers. The analysis was performed between August 1, 2024, and May 1, 2025. Interventions Patients underwent (1) PSMA-PET, (2) PSMA-PET imaging as a reflex test if computed tomography plus bone scan (CTBS) was negative or equivocal (CTBS + PSMA-PET), and (3) CTBS alone. Main Outcomes and Measures Lifetime quality-adjusted life-years (QALYs) and costs, incremental cost-effectiveness ratio (ICER), and value of information estimates were assessed, with 95% uncertainty intervals (UIs). We assumed a willingness-to-pay threshold of $150 000 per QALY. Results The model simulated 1000 patients with BCR (median age, 66 years) and estimated that up-front PSMA-PET is expected to have the highest mean QALYs (7.12 QALYs [95% UI, 6.71-7.51 QALYs]) compared with 6.55 QALYs (95% UI, 6.08-7.03 QALYs) for CTBS; it was also estimated to have higher mean costs ($451 000 [95% UI, $336 000-$577 000]) compared with $351 000 (95% UI, $263 000-$455 000]) for CTBS; consequently, PSMA-PET had mean increments of $99 000 (95% UI, $55 000-153,000) in costs and 0.58 QALYs (95% UI, 0.35-0.82 QALYs) compared with CTBS, leading to an ICER of $172 000 per QALY, which exceeded the assumed $150 000/QALY willingness-to-pay threshold. In patients with lower prostate-specific antigen levels (<2 ng/mL), PSMA had mean increments of $61 000 (95% UI, $21 000-$104 000) in costs and 0.54 QALYs (95% UI, 0.34-0.77 QALYs) compared with CTBS, leading to an ICER of $113 000/QALY, suggesting it had the potential to be cost-effective. Because of high decisional uncertainty, additional information regarding outcomes and diagnostic characteristics may be associated with reduced uncertainty and a gain of 15 747 QALYs. Conclusions and Relevance This study found that PSMA-PET may be associated with improved disease detection but may not be cost-effective due to high treatment costs offsetting moderate improvements in QALYs. Further research is needed to identify patient subsets and clinical scenarios in which molecular imaging provides the greatest value.
OR16-08 Baxdrostat in Patients with Primary Aldosteronism: Results from the SPARK Phase 2 Trial
Ben-Shlomo, Anat , Huang, Wenyu , Sam, Ramin , Lihn, Aina Sætre, Perl, Shira, Tuyishimire, Bonifride, Bancos, Irina , Hamidi, Oksana , Hamrahian, Amir Hekmat , Kirschner, Lawrence S. , Turcu, Adina F. , Mallappa, Ashwini , Brown, Morris Jonathan

Journal of the Endocrine Society | October 23, 2025 | Volume: 9 | Issue: Supplement_1 | Pages: No page available

10.1210/jendso/bvaf149.798 Get It

Abstract Disclosure: I. Bancos: AstraZeneca. A. Ben-Shlomo: AstraZeneca. O. Hamidi: Recordati Rare Diseases, Neurocrine Biosciences, Corcept Therapeutics, Crinetics, Camurus, Xeris. A. Hamrahian: AstraZeneca. W. Huang: None. L.S. Kirschner: Corcept Therapeutics, AstraZeneca, Crinetics, Sparrow Pharma, Spruce Biosciences. R. Sam: AstraZeneca. A.F. Turcu: AstraZeneca. A. Lihn: AstraZeneca. A. Mallappa: AstraZeneca. S. Perl: AstraZeneca. B. Tuyishimire: AstraZeneca. M.J. Brown: GlaxoSmithKline, Pfizer, Inc., Bristol-Myers Squibb, AstraZeneca. Introduction: Mineralocorticoid receptor antagonist (MRA) treatment for primary aldosteronism (PA) has limited efficacy in some patients. Highly selective, competitive aldosterone synthase inhibitors (ASIs) offer an alternative therapeutic approach. SPARK (NCT04605549) was a Phase 2, open-label, multicenter trial of the ASI baxdrostat in patients with PA. Methods: Eligibility entailed: aged ≥18 years; diagnosis of PA; willingness to discontinue MRA up to 4 weeks before baxdrostat initiation; and systolic blood pressure (SBP) rise ≥20 mmHg or SBP ≥160 mmHg after discontinuation of MRA, or SBP ≥150 mmHg for patients with newly diagnosed PA who had not taken MRAs in the past 12 weeks. Patients entered a 12-week treatment period (Part 1) of once daily baxdrostat 2 mg, up-titrated to 4 mg or 8 mg at week (W) 4 or W8, respectively, if there was no significant risk of hypotension. Baxdrostat could be down-titrated to 2 mg or continued at 4 mg as needed. After W12, patients could continue baxdrostat up to W72 (Part 2) with doses at investigators’ discretion. Primary endpoints were safety, tolerability and change from baseline in mean seated SBP at W12. Results: Fifteen patients enrolled and completed Part 1; 14 patients continued to Part 2. Median (range) age was 54 (32, 75) years, 67% of patients were male, 47% were White, and median (range) body mass index was 32.0 (24.4, 41.4) kg/m2. At baseline, plasma renin activity (PRA) was <1 ng/mL/h in 12/15 (80%) patients, and 8/15 (53%) patients had hypokalemia (serum potassium <3.5 mmol/L). Mean (range) baseline SBP was 151.5 (130, 174) mmHg; diastolic BP (DBP) was 90.3 (74, 103) mmHg. At W12, mean (range) SBP change from baseline was –29.5 (–47, –12), –24.4 (–31, –17), and –23.9 (–47, –8) mmHg for patients on baxdrostat 2 mg (n=2), 4 mg (n=5), and 8 mg (n=7), respectively; DBP change was –8.0 (–14, –2), –10.4 (–20, 0), and –11.6 (–25, 7) mmHg, respectively. Overall, 11/15 (73%) patients achieved BP <140/90 mmHg and 6/15 (40%) achieved BP <130/80 mmHg at W12; reduced BP persisted in Part 2. No deaths were reported. Nine out of 15 (60%) patients had a treatment-emergent adverse event (TEAE) during W4–W12 of Part 1 (all mild/moderate), including 1/15 (7%) patient with hyperkalemia; no serious TEAEs were reported. In Part 2, 14/14 (100%) patients had a TEAE (most mild/moderate), including 5/14 (36%) patients with hyperkalemia; one serious TEAE of hyperkalemia was reported. Mean (standard deviation, SD) serum potassium levels increased from 3.9 (0.6) mEq/L at baseline to 4.7 (0.5) mEq/L at W12. Mean (SD) 24-h urine aldosterone excretion at baseline and W12 were 30.3 (17.5) and 3.2 (2.7) µg/day, respectively. At W12, 7/15 (47%) patients had achieved unsuppressed PRA (≥1.0 ng/mL/h). Conclusions: Baxdrostat, an ASI, was well tolerated and led to reduced BP and unsuppressed renin in patients with PA. Inhibiting aldosterone synthase may be an alternative to MRAs for treating PA. Presentation: Sunday, July 13, 2025
Endothelial Cell Loss 1 Year After Successful DMEK in the Diabetes Endothelial Keratoplasty Study
Lass, Jonathan H. , Lass, Jonathan H., Benetz, Beth Ann, Verdier, David D., Szczotka-Flynn, Loretta B., Bauza, Colleen E., Reed, Zachariah W., Greiner, Mark A., Mian, Shahzad I., Patel, Sanjay V., Pramanik, Sudeep, Price, Francis W., Soper, Mark C., Terry, Mark A., Titus, Michael S., Kollman, Craig, Beck, Roy W., Price, Marianne O., Group, Diabetes Endothelial Keratoplasty Study, Gang, Anjulie, Hall, Taylor, Lucas, Katelyn, Lynn, Ashlyn, Cole, Shawna, Phelps, Derek, Baratz, Keith H. , Hardtke, Elainey, Treichel, Emily J., Hood, Christopher , Nallasamy, Nambi , Verkade, Angela , Jones, Kristin, Shapiro, Jeremy N. , Leavy, Lisa, Sinkey, Chris, Tenkman, Lawrence R., Gordon, DJ, Ketcherside, Christopher, Fox, Jenni, Coonfield, Kristy, Vislisel, Jesse M., Sharma, Yogi, Young, Angela M. , Schoenberg, Evan, Kelly, Sharra, Huffman, James, Sears, Melinda, Stone, Merisa, Phillips, Paul, Maloney, Charlene, Jun, Albert S. , Maria, Christina, Boyce, Michelle, Kam, Yong, Crosser, Vicki, Chen, Jessica , Straiko, Michael D., Bauer, Alex, Croasdale, Christopher, Brown, Gayle Waldheim, Veldman, Peter B., Evans, Que, Majmudar, Parag A., Epstein, Rachel , Vaidya, Neal, Rosselson, Marie, Nykaza, Jim, Jurkunas, Ula V., Venkateswaran, Nandini, Cheung, Michael K., Ayres, Brandon D. , Haught, Drew Monteleone, Prasad, Elizabeth, Toti, G, Wier, Jim, Brandsdorfer, Ari, Pape, Denise, Hansen, Mark, Hardten, David R., Reeves, Sherman, Dreyer, Allison, Mack, Megan, Hamill, M. Bowes , Nguyen, Jessica, Koo, Ellen, Stanfield, Ryan, Greenwood, Michael, Ernst, L, Messer, Brooke, Risbrudt, Nick, Stofferahn, Seth, Saville, Alyson, Castaneda, Leslie, Torres, Nidia, Potts, Luke B. , Alexander, Jamie, Rinn, Jennifer, Bokosky, John, Cardenas, Ilina, Murphy, Doreen, Priebe, Kinsey, Sica, Chris, Buckman, Natalie, Ansin, Amy, Clover, Jameson , Pivoney, Charles, Vizzerra, Anthony, Elbanhawy, Lindsey, Mullins, Monica, Statz, Brianne, Fout, Elizabeth, Drury, Donna, Tavolazzi, Trisha, Lass, Jonathan, Lass, Jonathan, Szczotka-Flynn, Loretta, Richards, Leslie, Raghupathy, Sangeetha, Spruill, Rashad, Bauza, Colleen, Kollman, Craig, Garrett, Kaitlyn, Reed, Zachariah, Benetz, Beth Ann, Lê, Jimmy T. , Redford, Maryann , Arafah, Baha M. , Greiner, Mark, Johnson, Paula C, Keeler, D. K., Monnier, Vincent M. , Titus, Michael, Verdier, David, Soper, Mark, Velhuisen, Paul Van, Hawkins, Barbara S., Macsai, Marian S., Patel, Sanjay, Mian, Shahzad, Pramanik, Sudeep, Price, Francis, Terry, Mark, Sell, David, Gabrielson, Deanna, Barton, Glenn, Bear, Andrew, Das, Pravamaya, Dawson, Lauren, Dingess, Ryan, Madere, Mark, Sengupta, Pratim , Wadleigh, Garth, Greiner, Mark A. , Lass, Jonathan H., Benetz, Beth Ann, Verdier, David D., Szczotka-Flynn, Loretta B., Bauza, Colleen E., Reed, Zachariah W., Greiner, Mark A., Mian, Shahzad I., Patel, Sanjay V., Pramanik, Sudeep, Price, Francis W., Soper, Mark C., Terry, Mark A., Titus, Michael S., Kollman, Craig, Price, Marianne O., Group, Diabetes Endothelial Keratoplasty Study, Gang, Anjulie, Hall, Taylor, Lucas, Katelyn, Lynn, Ashlyn, Cole, Shawna, Phelps, Derek, Hood, Christopher, Sáles, Christopher S. , Sinkey, Chris, Gordon, DJ, Ketcherside, Christopher, Fox, Jenni, Young, Angela, Schoenberg, Evan, Kelly, Sharra, Huffman, James, Sears, Melinda, Stone, Merisa, Srikumaran, Divya S. , Daoud, Yassine J. , Eghrari, Allen Omid , Ali, Muhammad , Croasdale, Christopher, Brown, Gayle Waldheim, Epstein, Rachel H. , Vaidya, Neal, Jurkunas, Ula V. , Cheung, Michael, Prasad, Elizabeth, Toti, Gwen, Brandsdorfer, Ari, Pape, Denise, Hansen, Mark, Reeves, Sherman, Dreyer, Allison, Mack, Megan, Nguyen, Jessica, Greenwood, Michael, Messer, Brooke, Saville, Alyson, Omar, Ahmed F. , Castaneda, Leslie, Torres, Nidia, Rinn, Jennifer, Bokosky, John, Cardenas, Ilina, Murphy, Doreen, Priebe, Kinsey, Sica, Chris, Schmidt, Gregory A. , Lass, Jonathan, Lass, Jonathan, Price, Marianne O. , Szczotka-Flynn, Loretta, Richards, Leslie, Bauza, Colleen, Beck, Roy W. , Kollman, Craig, McCarthy, Chris, Garrett, Kaitlyn, Reed, Zachariah, Benetz, Beth Ann, Greiner, Mark, Johnson, Paula, Titus, Michael, Verdier, David, Soper, Mark, Aleppo, Grazia , Bateman-House, Alison , Tu, Elmer Yuchen , Patel, Sanjay, Mian, Shahzad, Pramanik, Sudeep, Price, Francis, Terry, Mark, Sell, David, Gabrielson, Deanna, Barton, Glenn, Bear, Andrew, Das, Pravamaya, Dingess, Ryan, Sengupta, Paromita

JAMA Ophthalmology | October 17, 2025 | Volume: 143 | Issue: 12 | Pages: 1053

10.1001/jamaophthalmol.2025.4261 | PMID 41105099 Get It

Importance The effect of cornea donor diabetes on endothelial cell density (ECD) and morphometry after Descemet membrane endothelial keratoplasty (DMEK) is not known. Objective To determine whether endothelial cell loss (ECL) and morphometric changes 1 year after successful DMEK are related to cornea donor’s diabetes status. Design, Setting, and Participants This was a multicenter, double-masked, randomized clinical trial conducted from February 2022 to July 2024 at 28 US clinical sites (46 surgeons) and 13 eye banks. Included in the trial were the eyes of recipients (some of whom received tissue from donors without diabetes and others who received tissue from donors with diabetes) who underwent successful DMEK, primarily for Fuchs endothelial corneal dystrophy, and had at least 1 analyzable postoperative endothelial image. Intervention DMEK performed with a cornea from a donor without or with diabetes, assigned using a minimization procedure to achieve an approximate 2:1 distribution. Main Outcomes and Measures ECD, ECL, coefficient of variation in cell area (CV), and percentage of hexagonal cells (HEX) at 1 year from eye bank and postoperative specular central endothelial images. Results A total 1274 eyes of 982 recipients (mean [SD] age, 70 [8] years; 569 female [57.9%]; 816 [64.1%] with tissue from donors without diabetes and 458 [35.9%] with tissue from donors with diabetes) were included in the study. Preoperatively, mean (SD) central ECD in tissue from donors without diabetes and with diabetes were 2676 (290) cells/mm 2 and 2671 (286) cells/mm 2 , respectively. At 1 year, mean (SD) ECL was 28.3% (16.1%) and 28.0% (17.0%), in the donor groups without and with diabetes, respectively (adjusted mean difference = −0.4%; 95% CI, −2.3% to 1.4%), resulting in a mean (SD) 1-year ECD of 1927 (498) cells/mm 2 and 1920 (496) cells/mm 2 , respectively (adjusted mean difference = 10 cells/mm 2 ; 95% CI, −36 to 56; P = .95). No difference in ECD at 1 year associated with diabetes severity was noted ( P = .97). Mean (SD) CV did not differ at 1 year between the 2 groups of eyes (31.5% [4.1%] vs 31.4% [4.1%]; adjusted mean difference = −0.4%; 95% CI, −0.9% to 0.1%; P = .51), and mean (SD) HEX did not differ at 1 year between the 2 groups of eyes (57.7% [5.8%] vs 57.2% [5.8%]; adjusted mean difference = 0.1%, 95% CI, −0.8% to 0.9%; P = .33). Conclusions and Relevance This randomized clinical trial found that ECL and morphometry 1 year after DMEK were not affected by cornea donor diabetes status. With comparable 1-year graft success with tissue from donors with and without diabetes demonstrated in this trial, these findings support the use of corneas from donors with diabetes for endothelial keratoplasty procedures. Trial Registration ClinicalTrials.gov Identifier: NCT05134480
Donor Diabetes and 1-Year Descemet Membrane Endothelial Keratoplasty Success Rate
Price, Francis W. , Szczotka‐Flynn, Loretta , Bauza, Colleen , Reed, Zachariah W., Arafah, Baha M. , Greiner, Mark A. , Johnson, Paula, Keeler, Devon B., Pramanik, Sudeep, Soper, Mark, Terry, Mark A., Titus, Michael S. , Verdier, David D. , Kollman, Craig, Lass, Jonathan H. , Lass, Jonathan H., Group, Diabetes Endothelial Keratoplasty Study, Gang, Anjulie, Hall, Taylor, Lynn, A. G., Cole, Shawna, Phelps, Derek, Baratz, Keith H. , Hardtke, Elainey, Treichel, Emily J., Hood, Christopher , Nallasamy, Nambi , Verkade, Angela , Jones, Kristin, Shapiro, Jeremy, Leavy, Lisa, Sinkey, Chris, Tenkman, Lawrence R., Gordon, DJ, Ketcherside, Christopher, Fox, Jenni, Coonfield, Kristy, Vislisel, Jesse M., Sharma, Yogi, Young, Angela M. , Schoenberg, Evan, Kelly, Sharra, Huffman, James L. , Sears, Melinda, Stone, Merisa, Phillips, Paul, Maloney, Charlene, Jun, Albert S. , Maria, Christina, Boyce, Michelle, Kam, Yong, Crosser, Vicki, Chen, Jessica , Straiko, Michael D., Bauer, Alex, Croasdale, Christopher, Brown, Gayle Waldheim, Veldman, Peter B., Evans, Que, Majmudar, Parag A., Epstein, Rachel , Vaidya, N. N., Nykaza, Jim, Venkateswaran, Nandini, Ayres, Brandon D. , Haught, Drew Monteleone, Prasad, Elizabeth, Toti, Gwen, Wier, Jim, Brandsdorfer, Ari, Pape, Denise, Hansen, Mark D., Hardten, David R., Reeves, Sherman W., Dreyer, Allison, Mack, Megan, Hamill, Mark, Nguyen, Jessica , Stanfield, Ryan, Greenwood, Michael , Ernst, Lindsay, Risbrudt, Nick, Saville, Alyson, Castaneda, Leslie, Torres, Nidia, Potts, Luke B. , Alexander, Jamie, Rinn, Jennifer, Bokosky, John, Cardenas, Ilina, Murphy, Doreen, Priebe, Kinsey, Sica, Chris, Buckman, Natalie, Ansin, Amy, Clover, Jameson , Pivoney, Charles, Vizzerra, Anthony, Elbanhawy, Lindsey, Mullins, Monica, Statz, Brianne, Fout, Elizabeth, Drury, Donna, Tavolazzi, Trisha, Lass, Jonathan, Lass, Jonathan, Richards, Leslie, Raghupathy, Sangeetha, Spruill, Rashad, Bauza, Colleen, Beck, Roy, Garrett, Kaitlyn, Reed, Zachariah, Benetz, Beth Ann , Lê, Jimmy T. , Redford, Maryann , Arafah, Baha, Greiner, Mark, Keeler, Devon, Monnier, Vincent M. , Titus, Michael, Verdier, David, Velhuisen, Paul Van, Hawkins, Barbara S., Macsai, Marian S., Patel, Sanjay, Mian, Shahzad I. , Pramanik, Sudeep , Price, Francis, Terry, Mark, Sell, David, Gabrielson, Deanna, Barton, Glenn, Bear, Andrew, Das, Pravamaya, Dawson, Lauren, Dingess, Ryan, Madere, Mark, Wadleigh, Garth, Price, Marianne O. , Mian, Shahzad I. , Patel, Sanjay V. , Pramanik, Sudeep, Titus, Michael S., Beck, Roy W. , Lass, Jonathan H., Group, Diabetes Endothelial Keratoplasty Study, Lynn, Ashlyn, Cole, Shawna, Phelps, Derek, Hardtke, Elainey, Hood, Christopher, Shapiro, Jeremy, Sáles, Christopher S. , Leavy, Lisa, Gordon, DJ, Fox, Jenni, Coonfield, Kristy, Young, Angela, Schoenberg, Evan, Kelly, Sharra, Huffman, James, Sears, Melinda, Stone, Merisa, Srikumaran, Divya S. , Daoud, Yassine J. , Eghrari, Allen Omid , Ali, Muhammad , Crosser, Vicki, Croasdale, Christopher, Brown, Gayle Waldheim, Evans, Que, Epstein, Rachel H. , Nykaza, Jim, Jurkunas, Ula V. , Cheung, Michael, Wier, Jim, Brandsdorfer, Ari, Pape, Denise, Mack, Megan, Hamill, M. Bowes, Nguyen, Jessica, Koo, Ellen H. , Stanfield, Ryan, Risbrudt, Nick, Saville, Alyson, Omar, Ahmed F. , Castaneda, Leslie, Torres, Nidia, Bokosky, John, Cardenas, Ilina, Murphy, Doreen, Priebe, Kinsey, Schmidt, Gregory A. , Elbanhawy, Lindsey, Statz, Brianne, Tavolazzi, Trisha, Lass, Jonathan, Lass, Jonathan, Richards, Leslie, Spruill, Rashad, Bauza, Colleen, Beck, Roy, McCarthy, Chris, Reed, Zachariah, Arafah, Baha, Greiner, Mark, Titus, Michael, Verdier, David, Velhuisen, Paul Van, Aleppo, Grazia , Bateman-House, Alison , Tu, Elmer Yuchen , Patel, Sanjay, Price, Francis, Terry, Mark, Sell, David, Barton, Glenn, Das, Pravamaya, Dingess, Ryan, Madere, Mark, Sengupta, Partha Pratim , Wadleigh, Garth

JAMA Ophthalmology | October 17, 2025 | Volume: 143 | Issue: 12 | Pages: 1043

10.1001/jamaophthalmol.2025.4253 | PMID 41105094 Get It

Importance If the success of Descemet membrane endothelial keratoplasty (DMEK) is not affected by whether the donor has diabetes, then the donor pool should expand. Objective To determine whether the 1-year DMEK success rate is affected by the presence of diabetes in the donor. Design, Setting, and Participants This was a multicenter, double-masked, randomized clinical trial conducted from February 2022 to July 2025 at 28 clinical sites (46 surgeons), with donor corneas provided by 13 eye banks in the US. Included in the study were individuals undergoing low to moderate risk DMEK (95% for Fuchs endothelial corneal dystrophy). Study data were analyzed from April to September 2025. Intervention DMEK performed with a cornea from a donor without or with diabetes, assigned using a minimization procedure (comparable with randomization) to achieve an approximate 2:1 distribution, respectively. Main Outcomes and Measures Graft success at 1 year Results A total of 1097 individuals (1421 study eyes; median [IQR] age, 71 [66-76] years; 631 female [57.5%]) were included in the study. The 1-year cumulative probability of graft success was 96.3% (95% CI, 95.0%-97.5%) among 912 study eyes (64.2%) receiving tissue from donors without diabetes and 97.1% (95% CI, 95.5%-98.4%) among 509 study eyes (35.8%) receiving tissue from donors with diabetes (difference between groups = 0.7 percentage points; 95% CI, −1.2 to 2.6; P = .63). The 1-year cumulative probability of graft success was 96.5% (95% CI, 93.6%-98.9%) in the mild donor diabetes severity subgroup (n = 173) and 97.3% (95% CI, 95.4%-98.8%) in the moderate to severe donor diabetes severity subgroup (n = 336), using a diabetes severity rating scale based on medical history. The rates of primary donor failure, early failure related to surgical complications, and subsequent failure were as follows: 2.5% (23 of 912), 0.7% (6 of 912), and 0.3% (3 of 912), respectively, in recipients of tissue from a donor without diabetes, and 2.6% (13 of 509), 0.4% (2 of 509), and 0%, respectively, among recipients of tissue from a donor with diabetes. There were no failures due to graft rejection. Conclusions and Relevance The 1-year success rate in eyes undergoing DMEK with successfully prepared tissue was very high regardless of donor diabetes status. These results, supported by the separately reported finding that endothelial cell loss and cornea morphometry after 1 year were not affected by donor diabetes status, provide strong support for having no restrictions on the use of tissue from donors with diabetes for DMEK. Trial Registration ClinicalTrials.gov Identifier: NCT05134480
ID2 Suppresses Multiple Myeloma Cell Proliferation by Repressing the Activity of the Transcription Factor TCF3
Fulciniti, Mariateresa , Yao, Yao , Ng, Jessica Fong, Schavgoulidze, Anaïs , Deng, Shuhui , Cui, Jian , Encinas, Jessica , Ladisa, Francesco, Young, Ryan M. , White, Cassandra , Ott, Christopher J., Matulis, Shannon M. , Sperling, Adam S. , Binder, Moritz , Munshi, Nikhil C. , Perini, Tommaso , Fong Ng, Jessica , Schavgoulidze, Anaïs , Deng, Shuhui , Cui, Jian , Encinas Mayoral, Jessica , Ladisa, Francesco , Young, Ryan M , Epstein, Charles , White, Cassandra M , Ott, Christopher J , Gulla, Annamaria , Matulis, Shannon M , Sperling, Adam S , Morelli, Eugenio , Boise, Lawrence H , Binder, Moritz , Szalat, Raphael , Samur, Mehmet K , Anderson, Kenneth C , Munshi, Nikhil C , Epstein, Charles B. , Gullà, Annamaria , Morelli, Eugenio , Boise, Lawrence , Szalat, Raphaël , Samur, Mehmet , Anderson, Kenneth C.

Blood Cancer Discovery | October 17, 2025 | Volume: 7 | Issue: 1 | Pages: 129-141

10.1158/2643-3230.bcd-25-0048 | PMID 41104834 Get It

Abstract Transcription factors and their cofactors are major and selective nononcogene dependencies in multiple myeloma cells. By performing a gain-of-function perturbation screen in human multiple myeloma cell lines, we identified the inhibitor of DNA binding (ID) genes as putative suppressors of multiple myeloma cell fitness. Among them, ID2 was found to be downregulated in multiple myeloma patient cells and acted as a tumor suppressor by directly binding and repressing the basic helix-loop-helix factor TCF3, also known as E2A. Lower ID2 expression in multiple myeloma cells conferred a proliferative advantage by increasing TCF3 activity, leading to a dependency on this transcription factor. In contrast, ID2 overexpression reduced TCF3 binding to DNA, which resulted in cell-cycle arrest and a halt in multiple myeloma cell proliferation. The myeloma bone marrow milieu supported this process by further decreasing the expression of ID2 and enhancing TCF3 activity, partly via IL6, revealing a mechanism by which the tumor microenvironment affects multiple myeloma cell behavior. Significance: Multiple myeloma cells exploit the oncogenic and proliferative potential of TCF3 by downregulating the transcriptional regulator ID2, a process facilitated by the bone marrow microenvironment.
Efficacy of Axillary Block for Surgical Procedures About the Elbow
Schroeder, Lawrence E., Horlocker, Terese T.

Regional Anesthesia: The Journal of Neural Blockade in Obstetrics, Surgery, & Pain Control | October 11, 2025 | Volume: 21 | Issue: Suppl 2 | Pages: 21-21

10.1136/rapm-00115550-199621021-00021 Get It

Evaluating the current neuro-oncology capacity in Sub-Saharan Africa: A questionnaire-based survey
Odukoya, Lateef A , Cheserem, Beverly , Darko, Kwadwo , Ghomsi, Nathalie , Kabare, Gloria , Kamson, David , Eckel‐Passow, Jeanette E. , Jenkins, Robert B. , Decker, Paul A. , Kitange, Gaspar J. , Akinjo, Andrea O , Badmos, Kabir, Yevudza, W Elorm , Edrick, Elias, Katasi, Victoria Mwebe , Magambo, Margreth, Banti, Eyerusalem, Magoha, Michael, Ngaiza, Advera , Higgins, Dominique, Okemwa, Minda, Osei‐Tutu, Lawrence, Petershie, Bernard, Minja, Frank J. , Anunobi, C C , Tiamiyu, Liadi, Gankpé, Gbètoho Fortuné, Kwikima, Ugumba, Heronima, Kashaigili, Schroeder, Kristin, Thierry, Muanza, Davidson, Alan J. , Totimeh, Teddy , Gankpé, Fortuné Gbètoho , Schroeder, Kristin , Zerd, Francis , Odukoya, Lateef A , Cheserem, Beverly , Darko, Kwadwo , Ghomsi, Nathalie C , Kamson, David O , Eckel-Passow, Jeanette E , Jenkins, RB , Akinjo, Andrea O , Badmos, Kabir B , Yevudza, W Elorm , Bankole, Olufemi , Idowu, Olufemi E , Ayanlaja, Abiola Abdulrahman , Karekezi, Claire , Edrick, Elias , Ekhator, Chukwuyem , Huse, Jason T. , Magoha, Michael , Okemwa, Minda , Minja, Frank J , Etame, Arnold B , Kwikima, Ugumba Mussa , Schroeder, Kristin , Muanza, Thierry , Totimeh, Teddy , Balogun, James , Zerd, Francis , Decker, Paul A. , LLEWELLYN, HENRY J. , Idowu, Olufemi Emmanuel , Karekezi, Claire , Lachance, Daniel Honore , Banti, Eyerusalem, Nyalundja, Arsène Daniel , Etame, Arnold B. , Brown, Desmond , Davidson, Alan, Fonkem, Ekokobe

Neuro-Oncology Practice | October 10, 2025 | Volume: 13 | Issue: 3 | Pages: 537-548

10.1093/nop/npaf107 | PMID 42131754 Get It

AbstractAbstract Background Central nervous system (CNS) tumors are a significant cause of morbidity and mortality in Sub-Saharan Africa (SSA). This project aimed to assess and map out the current neuro-oncology capacity in SSA, brain tumor registries, and biobanks. Methods This cross-sectional study utilized an online survey to gather data from healthcare professionals involved in CNS tumor care across SSA through the Society for Neuro-Oncology SSA (SNOSSA). The survey captured information on the availability of neuro-oncology practitioners, neuropathology, molecular diagnostics, cancer registries, and biobanking. Results A total of 145 respondents representing 70 healthcare institutions across 22 countries participated. Of the 70 institutions, specialties included neurosurgery (89%, 62/70), anatomic pathology (74%, 52/70), and medical oncology (71%, 50/70). For radiologic evaluation, 64% (45/70) of responding institutions reported having both CT and MRI. Access to molecular testing through immunohistochemistry or next-generation sequencing was available in 46% (32/70) of responding institutions. Multidisciplinary tumor boards were available for CNS cases in 86% (60/70) of responding institutions. Brain tumor-specific registries were available in 29% (20/70) of responding institutions, and 10% (7/70) maintained brain tumor biorepositories. Conclusion This study demonstrates that SSA has substantial potential in neuro-oncology care practice capacity and facilities. The most significant gaps were in neuropathology and molecular testing, which makes widespread implementation of the WHO 2021 diagnosis challenging. Understanding the prevalence of CNS tumor subtypes in SSA is difficult due to the low number of brain tumor registries and biobanks.