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3309 citation(s) found for "Do, Alexander".

Delayed graft function and long-term outcomes after deceased donor kidney transplantation: insights from mate-kidney analysis
Valencia, Oscar A. Garcia, Alrifai, Ahmed, Mahgoub, Mohammed, Mour, Girish, Smith, Byron, Bentall, Andrew J., Issa, Naim , Riad, Samy, Garcia Valencia, Oscar A, Alrifai, Ahmed Zeen Alabedeen, Mahgoub, Mohammed Y, Issa, Naim S, Cortez, Alexander R. , Valencia, Oscar A. Garcia , Mour, Girish , Bentall, Andrew , Jadlowiec, Caroline C. , Amer, Hatem , Riad, Samy

Mayo Clinic

Transplant International | June 16, 2026 | Volume: 39 | Issue: No issue available | Pages: No page available

10.3389/ti.2026.16526 | PMID 42382229 Get It

Delayed graft function (DGF) is a frequent complication after deceased donor kidney transplantation, yet its long-term impact remains understudied. Heterogeneous populations, short follow-up, and inadequate control of donor-related factors have limited prior studies. Using the Scientific Registry of Transplant Recipients (2005–2024), we evaluated the association between DGF and long-term graft outcomes, including a mate-kidney (same donor, discordant DGF status) analysis to isolate its independent effect. We identified 103,678 dialysis-dependent deceased donor kidney recipients maintained on tacrolimus and mycophenolate. Mixed-effects Cox models, adjusted for donor, recipient, immunologic, and procurement factors. DGF occurred in 30.1% of recipients and was associated with increased death-censored graft failure (HR 1.40; 95% CI 1.33–1.47) and overall graft failure (HR 1.27; 95% CI 1.23–1.31). DGF recipients had higher rejection rates at 6 (6.0% vs. 4.7%) and 12 months (8.9% vs. 7.3%), longer hospital stay, and higher 1-year rehospitalization. In the mate-kidney analysis (6,818 donors), DGF remained strongly associated with death-censored graft failure (HR 1.58; 95% CI 1.39–1.80) and overall graft failure (HR 1.35; 95% CI 1.25–1.46), confirming the independent effect of DGF. DGF is a strong predictor of adverse long-term outcomes irrespective of rejection and warrants targeted prevention strategies and intensified follow-up.
NCCN Guidelines® Insights: Acute Myeloid Leukemia, Version 3.2026
Patel, Anand , Patel, Anand , Pollyea, Daniel Aaron , Altman, Jessica K. , Assi, Rita, Bachiashvili, Kimo, Bhatt, Vijaya Raj , Fathi, Amir T. , Fedorov, Kateryna, Foran, James M. , Gojo, Ivana , Goldberg, Aaron, Hall, Aric C. , Jonas, Brian A., Levine, Matthew R., Mangan, James, Mannis, Gabriel N. , Marcucci, Guido , Mims, Alice S , Moriarty, Kelsey, Ali, Moaath Mustafa, Neff, Jadee , Nejati, Reza , Olin, Rebecca L. , Patel, Anand, Percival, Mary‐Elizabeth M. , Perl, Alexander E. , Pettit, Kristen, Rao, Dinesh S. , Ravandi‐Kashani, Farhad, Schwabkey, Zaker, Shallis, Rory, Stahl, Maximilian, Stone, Richard M. , Thota, Swapna, Uy, Geoffrey L., Walker, Alison, Wang, Eunice, Awotiwon, Ajibola, Roth, Sydney L., Stehman, Katie

Mayo Clinic

Journal of the National Comprehensive Cancer Network | June 15, 2026 | Volume: 24 | Issue: 6 | Pages: 222-229

10.6004/jnccn.2026.0028 | PMID 42297017 Get It

Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy characterized by the clonal expansion of myeloid blasts in the peripheral blood, bone marrow, and/or other tissues. It is the most common form of acute leukemia among adults and accounts for the largest number of annual deaths from leukemias in the United States. 1 The NCCN Guidelines Panel for AML convenes annually to update recommendations for the diagnosis and treatment of AML in adults. These recommendations are based on a review of recently published clinical trials that have led to significant improvements in treatment or have yielded new information regarding biologic factors that may have prognostic importance. These NCCN Guidelines Insights summarize the panel’s most recent recommendations regarding the monitoring and management of measurable (minimal) residual disease.
Tailored Atrial Pacing: Another Therapeutic Tool for Fontan Failure?
Eynde, Jef Van den , Bruaene, Alexander Van De , Reddy, Yogesh N.V. , Miranda, William R. , Van den Eynde, Jef , Van De Bruaene, Alexander , Nishimura, Rick

Mayo Clinic

Circulation: Heart Failure | June 15, 2026 | Volume: 19 | Issue: 8 | Pages: No page available

10.1161/circheartfailure.126.014628 | PMID 42290372 Get It

Genomic Features Do Not Account for Differences in Multiple Myeloma Risk by Ancestry
Maclachlan, Kylee , Papadimitriou, Marios , Blaney, Patrick , Baughn, Linda B. , Shekarkhand, Tala , Poos, Alexandra M. , Ziccheddu, Bachisio , Tang, Hongwei , Yan, Huihuang , Diamond, Benjamin , Zhang, Yanming , Cimera, Robert , Hultcrantz, Malin , Mailankody, Sham , Hassoun, Hani , Tan, Carlyn , Brown, Elizabeth , Winterkorn, Lara , Steinsnyder, Zoe , Vaksman, Zalman , Korde, Neha , Weinhold, Niels , Maclachlan, Kylee , Tang, Hongwei , Dogan, Ahmet , Gagler, Dylan , Boyle, Eileen M , Hultcrantz, Malin , Mailankody, Sham , Hassoun, Hani , Shah, Urvi A , Tan, Carlyn R , Brown, Elizabeth E , Winterkorn, Lara , Chu, Timothy , Steinsnyder, Zoe , Vaksman, Zalman , Davies, Faith E , Korde, Neha , Landgren, C Ola , Raab, Marc S , Lesokhin, Alexander M , Robine, Nicolas , Weinhold, Niels , Usmani, Saad , Maura, Francesco , Morgan, Gareth J , Baughn, Linda B , Diamond, Benjamin T , Blaney, Patrick , Poos, Alexandra M. , Doǧan, Ahmet , Boyle, Eileen M. , Shah, Urvi A. , Davies, Faith E. , Landgren, Ola , Raab, Marc S. , Lesokhin, Alexander M. , Usmani, Saad Z. , Maura, Francesco , Morgan, Gareth J.

Mayo Clinic

Blood Cancer Discovery | June 12, 2026 | Volume: No volume available | Issue: No issue available | Pages: OF1-OF17

10.1158/2643-3230.bcd-25-0259 | PMID 42284538 Get It

Abstract Studies have reported conflicting findings regarding the contribution of germline variants or somatic genomic drivers to racial disparities in multiple myeloma. To comprehensively investigate somatic drivers in relation to inherited genetics in multiple myeloma, we combined newly sequenced whole-genome sequencing data with publicly available datasets (total n = 1,286). Overall, we did not identify germline or somatic genomic differences that explain the different risk of developing multiple myeloma between patients with genetic similarity to African (AFR) or European (EUR) reference populations. A difference in the detectability and timing of APOBEC-associated and germinal center mutational activity was observed. Integrating epidemiologic data and mutational signature-based temporal estimates, we challenge the assumption that individuals in the AFR group develop multiple myeloma at a younger age. Finally, we demonstrate that, with equal access to efficacious therapies, patients in the AFR and EUR groups have equivalent clinical outcomes. Significance: Multiple myeloma is reported to occur at higher rates in individuals who self-identify as non-Hispanic Black. In this large dataset, genomic drivers occur at the same rate among ancestry groups, except for APOBEC mutagenesis. With equivalent therapy, clinical outcomes did not differ for patients grouped by genetic ancestry similarity.
Vascular Phenotyping in Parkinson’s Disease: Diabetes Mellitus Operationalizes a Microvascular Metabolic Syndrome Cluster Across PPMI Diagnostic Cohorts
Belnavis, Alexander , Chiu, Shannon , Chen, Kewei, Thorpe, Roland J. , Ofori, Edward , Initiative, the Frontotemporal Lobar Degeneration Neuroimaging, Chiu, Shannon Y

Mayo Clinic

No container title available | June 12, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.06.09.26355285 | PMID 42326795 Get It

Abstract Background Diabetes mellitus elevates Parkinson’s disease (PD) risk, via hypothesized cerebrovascular mediation. Whether the diabetes/prediabetes vascular-risk phenotype concentrates in cardiometabolic risk or macrovascular events across prodromal and clinically diagnosed PD remains unresolved. Objectives To quantify the vascular-risk burden associated with diabetes/prediabetes across the PPMI diagnostic cohorts to test whether this association differs by cohort. Methods Cross-sectional analysis of 413 PPMI participants (76 healthy controls, 145 prodromal PD, 192 clinically diagnosed PD) examined diabetes/prediabetes (n = 73) and seven vascular risk factors. The Vascular Burden Score (0 to 7) was a priori partitioned into microvascular and macrovascular sub-scores. Modified Poisson regression estimated adjusted prevalence ratios (aPR), adjusted for age, sex, and body mass index. A cohort-by-diabetes interaction tested cross-cohort consistency. Sensitivity analyses incorporated nigral diffusion tensor imaging (PD-risk biomarker) and FreeSurfer white matter hypointensity volume (cerebrovascular marker). Results Diabetes/prediabetes elevated Vascular Burden Score (β = 0.53, 95% CI 0.29 to 0.77, p < 0.001) versus non-diabetic participants, with a non-significant cohort-by-diabetes interaction (F = 0.29, p = 0.747). Three microvascular factors survived false discovery rate correction: obesity (aPR 2.28), hypertension (aPR 1.60), and hyperlipidemia (aPR 1.45). Macrovascular events showed no diabetic amplification (β = −0.06, p = 0.25). In the imaging-phenotyped subset, Vascular Burden Score components contributed classifier variance distinct from nigral microstructure. Conclusions Diabetes/prediabetes operationalize a microvascular cluster stable across prodromal and idiopathic PD. Cardiometabolic phenotyping may complement established PD-risk biomarkers (dopamine transporter SPECT, nigral diffusion), pending longitudinal validation linking vascular phenotype to dopaminergic markers.
Prediction of immunotherapy response using live tumor fragments from routine clinical biopsies
Braun, David, Dana, Nicholas, Hernan, Hilary R., Scribano, Christina, Johnson, Christin , Vedder, Lindsey, Euw, Erika von , Zweng, Julie, Wargowski, Ellen, Sunil, Aishwarya , Sharma, D, Routh, Josh, Rexroad, Katherine, McDonnell, Payton , Jergens, Victor, Costa, Catarina, Zuniga, Richard, Patel, Paras M., Martin, Robert C.G., Majeed, Umair, Mukhopadhyay, Debabrata, Lou, Yanyan, Kokabi, Nima, Jakub, James W., Hays, David, Godwin, Andrew K., Giffi, Victoria, Gelbard, Alexander, Friedl, Andreas, Duimstra, Emma Kate, Dronca, Roxana S., Chen, Ruqin, Chalfin, Heather, Broome, Barbara , Babiker, Hani M., Chandra, Tarun, Caenepeel, Sean, Hrycyniak, Laura , Sood, Chetan , Ramos, Hilario, Patel, Premal , Advani, Pooja, Gierman, Hinco J., Taube, Janis, Braun, David , Sahni, Shalini, Scribano, Christina M. , Wargowski, Ellen , Zuniga, Richard, Toia, Giuseppe V. , Martin, Robert C.G. , Majeed, Umair , Mukhopadhyay, Debabrata , Lou, Yanyan , Kokabi, Nima , Jakub, James W. , Godwin, Andrew K. , Gelbard, Alexander , Friedl, Andreas , Dronca, Roxana , Chen, Ruqin, Chalfin, Heather J., Babiker, Hani M. , Caenepeel, Sean , Ramos, Hilario J. , Patel, Premal, Advani, Pooja , Gierman, Hinco J. , Taube, Janis M

Mayo Clinic

No container title available | June 11, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.06.05.26354635 Get It

Summary Functional ex vivo assays using live tumor tissues have demonstrated strong predictive accuracy for response to immune checkpoint inhibitors (ICIs) but are not scalable, requiring manual processing of large resections collected at academic centers. Here, an ex vivo live tumor fragment (LTF) platform was developed using standard-of-care biopsies from 228 patients with suspected malignancy collected across prospective, multicenter observational trials and biobanks. Hierarchical clustering of ICI-mediated changes in cytokine production identified two groups: responders and nonresponders. A binary classifier (elive index) using 8 cytokines achieved an AUC of 0.99 for cluster prediction. elive index correctly predicted clinical benefit in 93% (26/28) of patients ( P = 3.2x10 -5 ) and accurately identified 83% (10/12) of objective responders. Critically, elive responders were identified among biomarker-negative patients, highlighting the platform as a scalable approach that complements existing companion diagnostics and expands the population of patients identified to benefit from ICI therapy.
Trajectories of brain structure and function in young adult carriers of genetic frontotemporal dementia variants
So, Isis , Staffaroni, Adam M. , Coleman, Kristy , Bouzigues, Arabella , Ferry‐Bolder, Eve , Cullen, Eva , Russell, Lucy L. , Foster, Phoebe H. , Farley, Sophie , Thompson, Alexander, Ber, Isabelle Le , Körtvelyessy, Péter , Schroeter, M., Uzelac, Željko , Kruger, Johanna S. W. , Langheinrich, Tobias , Ducharme, Simon , Santana, Isabel J., Tartaglia, Carmela, Mendonca, Alexandre de, Morenoizco, Fermin, Brushaber, Danielle, Considine, Ciaran , Faber, Kelley, Fagan, Anne, Fields, Julie, Foroud, Tatiana, Forsberg, Leah K. , Geschwind, Daniel, Heuer, Hilary W. , Huang, Eric, Kantarci, Kejal, Kolander, Tyler , Lago, Argentina Lario , Lavigne, Shannon B., Mester, Carly , Molden, Joie, Petrucelli, Leonard , Rademakers, Rosa , Ramos, Eilana, Rankin, Katherine P., Rascovsky, Katya, Rhoads, Kristoffer , Weintraub, Sandra, Wong, Bonnie, Boxer, Adam L. , Rosen, Howard J. , Lee, Suzee E. , Lombardi, Jolina , Staffaroni, Adam M , Coleman, Kristy K L , Bouzigues, Arabella , Ferry-Bolder, Eve , Cullen, Eva , Russell, Lucy L , Foster, Phoebe H , Farley, Sophie , Convery, Rhian , Van Swieten, John C , Jiskoot, Lize C , Seelaar, Harro , Galimberti, Daniela , Vandenberghe, Rik , Laforce, Robert , Bruffaerts, Rose , Bertoux, Maxime , Lebouvier, Thibaud , Solje, Eino , Xiong, Chengjie , di Fede, Giuseppe , Le Ber, Isabelle , Migliaccio, Raffaella Lara , Körtvélyessy, Peter , Logroscino, Giancarlo , Otto, Markus , Uzelac, Zeljko , Illán-Gala, Ignacio , Krüger, Johanna , Nacmias, Benedetta , Gerhard, Alexander , Langheinrich, Tobias , Ducharme, Simon , Masellis, Mario , Rowe, James B , Graff, Caroline , Synofzik, Matthis , Borroni, Barbara , Sánchez-Valle, Raquel , Considine, Ciaran M , Forsberg, Leah K , Gendron, Tania F , Heuer, Hilary W , Huang, Eric , Kolander, Tyler , Mester, Carly , Petrucelli, Leonard , Rademakers, Rosa , Vandebergh, Marijne , Boeve, Brad , Boxer, Adam , Rosen, Howard J , Lee, Suzee E , Rohrer, Jonathan D , Finger, Elizabeth C. , Lombardi, Jolina , Swieten, John C. van , Jiskoot, Lize C. , Seelaar, Harro , Galimberti, Daniela , Vandenberghe, Rik , Laforce, Robert , Lebouvier, Thibaud , Xiong, Chengjie , Thompson, Alexander G. , Logroscino, Giancarlo , Otto, Markus , Illán‐Gala, Ignacio , Nacmias, Benedetta , Tartaglia, Carmela M., de Mendonça, Alexandre , Rowe, James B. , Graff, Caroline , Moreno, Fermín , Synofzik, Matthis , Borroni, Barbara , Sánchez‐Valle, Raquel , Brushaber, Danielle , Fagan, Anne M. , Gendron, Tania F. , Geschwind, Daniel, Kantarci, Kejal , Ramos, Eliana Marisa , Rankin, Katherine P. , Vandebergh, Marijne , Weıntraub, Sandra , Boeve, Bradley F. , Rohrer, Jonathan D.

Mayo Clinic

No container title available | June 11, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.06.08.26355165 | PMID 42326777 Get It

ABSTRACT Background and Objectives Converging evidence hints at neurodevelopmental effects in genetic frontotemporal degeneration (FTD). In cross-sectional studies, for some genes, young adult FTD variant carriers show differences in brain volumes and cognition compared to familial non-carriers. However, longitudinal trajectories may more sensitively capture FTD-related neurodevelopmental vs. neurodegenerative changes than cross-sectional approaches. This study examined longitudinal trajectories of brain volumes, executive function, and plasma biomarkers in young adult carriers compared to familial non-carriers, as measures of neurodevelopmental and neurodegenerative outcomes of FTD-causing variants. Methods This longitudinal cohort study comprised participants, aged 18-30 years, from the FTD Prevention Initiative across Europe, Canada, and the USA. Genetic groups included C9orf72 (47%), MAPT (30%), and GRN (23%). Linear mixed-effects models were computed to assess longitudinal outcomes across age between groups, controlling for sex, scanner (for brain volumes), and education (for executive function); random effects accounted for between-subject variability nested within family membership. Results Variant carriers ( n =147) and familial non-carriers ( n =113) did not differ in age (mean±SD, 25.9±3.2 years), sex (53% female), or number of visits (2.1±1.7). Young adult C9orf72 repeat expansion carriers exhibited smaller thalamic volumes than non-carriers at the reference age of 26 years ( b =-982.8mm 3 , SE=317.0, p= 0.0046, f 2 =0.32), with relatively stable trajectories across ages 18-30 (i.e., no change over time). Trajectories of rostral anterior cingulate volumes differed in C9orf72 carriers and non-carriers across age, where carriers showed relatively stable trajectories and non-carriers showed age-appropriate declines ( b =64.4mm 3 , SE=29.9, p= 0.035, f 2 =0.07). For MAPT and GRN , there were little to no differences in total brain, cortical, or subcortical volumes between groups and over time. No longitudinal differences were observed between carriers and non-carriers in executive function, or plasma NfL or GFAP for any genetic group. Discussion C9orf72 repeat expansions were linked to smaller average thalamic volumes and stable trajectories between ages 18 to 30, supporting potential neurodevelopmental origins. The modest evidence supporting an absence of difference in neurodegenerative biomarkers and executive function suggests minimal early neurodegeneration and functional preservation in young adulthood.