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4201 citation(s) found for "Chen, C".

The Coronal Plane Alignment of the Knee Classification
Grant, Samuel , Graaf, Victor A. van de , Pagnano, Mark W. , Bellemans, Johan , MacDessi, Samuel J. , van de Graaf, Victor A , Pagnano, Mark W , Bellemans, Johan , Macdessi, Samuel , Chen, Dar‐Ren

Mayo Clinic

JBJS Open Access | October 22, 2025 | Volume: 10 | Issue: 4 | Pages: No page available

10.2106/jbjs.oa.25.00165 | PMID 41112702 Get It

Abstract » The coronal plane alignment of the knee (CPAK) classification is a practical and straightforward framework to define a patient’s constitutional coronal knee limb alignment and joint line obliquity. » Patients are assigned to one of nine phenotypes using two straightforward calculations; the arithmetic hip-knee-ankle angle (aHKA) and the arithmetic joint line obliquity (aJLO). » CPAK allows clear understanding of the geographical and gender variations in knee alignment, as well as the differing outcomes of knee reconstructive surgery, based on phenotype. » CPAK enables surgeons to tailor their alignment strategy to best fit a patient’s constitutional phenotype and avoid the drawbacks of a “one-size fits all” approach.
Standalone Endovascular Embolization versus Stereotactic Radiosurgery in the Treatment of Arteriovenous Malformations in Eloquent Brain
Musmar, Basel , Abdalrazeq, Hammam , Adeeb, Nimer , Salim, Hamza , Roy, Joanna M. , Aslan, Assala , Tjoumakaris, Stavropoula I., Ogilvy, Christopher S. , Başkaya, Mustafa K. , Kondziolka, Douglas, Sheehan, Jason P. , Riina, Howard A. , Abushehab, Abdallah, Naamani, Kareem El, Ironside, Natasha , Gummadi, Sanjeev, Ataoglu, Cagdas , Muram, Sandeep , Sconzo, Daniel , Rezai, Arwin, Alwakaa, Omar , Park, Min S. , Hanalıoğlu, Şahin , Erginoğlu, Ufuk , Sen, Rajeev , Burkhardt, Jan‐Karl , Starke, Robert M. , Sekhar, Laligam N., Altschul, David , Haranhalli, Neil , McAvoy, Malia , Zeineddine, Hussein A. , Atallah, Elias , Rosenwasser, Robert H. , Stapleton, Christopher J. , Koch, Matthew J. , Srinivasan, Visish M. , Bulsara, Ketan R., Kim, Louis J. , Pukenas, Bryan, Smith, Edward R. , Alaraj, Ali , Patel, Aman B. , Notarianni, Christina , Lawton, Michael, Guthikonda, Bharat , Salim, Hamza , Riina, Howard , Dmytriw, Adam A , Gummadi, Sanjeev , Ataoglu, Cagdas , Essibayi, Muhammed Amir , Keles, Abdullah , Muram, Sandeep , Alwakaa, Omar , Mantziaris, Georgios , Park, Min S , Hanalioglu, Sahin , Erginoglu, Ufuk , Pöppe, Johannes , Griessenauer, Christoph J , Starke, Robert M , Levitt, Michael R , Altschul, David J , Haranhalli, Neil , Zeineddine, Hussein A , Atallah, Elias , Stapleton, Christopher , Koch, Matthew J , Srinivasan, Visish M , Chen, Peng R , Blackburn, Spiros , Bulsara, Ketan , Choudhri, Omar , Pukenas, Bryan , Smith, Edward , Alaraj, Ali , Patel, Aman B , Notarianni, Christina , Jabbour, Pascal , Musmar, Basel , Ogilvy, Christopher S , Tjoumakaris, Stavropoula , Kandregula, Sandeep , Dmytriw, Adam A. , Naamani, Kareem El , Abdelsalam, Ahmed , Kumbhare, Deepak , Essibayi, Muhammed Amir , Keleş, Abdullah , Tos, Salem M , Mantziaris, Georgios , Sen, Rajeev D., Griessenauer, Christoph J. , Sekhar, Laligam N. , Levitt, Michael R. , Abla, Adib A. , Gooch, Michael Reid , Kim, Louis J. , Choudhri, Omar , Pukenas, Bryan , Mosimann, Pascal J , Aziz‐Sultan, Mohammad Ali , Savardekar, Amey Rajan , Cuellar, Hugo , Morcos, Jacques J. , Jabbour, Pascal

Mayo Clinic

Radiology | October 21, 2025 | Volume: 317 | Issue: 1 | Pages: No page available

10.1148/radiol.250329 | PMID 41117652 Get It

Stereotactic radiosurgery was associated with a higher obliteration rate compared with embolization in patients with eloquent brain arteriovenous malformations, whereas there was no evidence of a difference in functional outcomes or complications after adjustment.
The chromatin regulator HELLS mediates SSB repair and responses to DNA alkylation damage
Joseph, Joyous T. , Wright, Christine, Shibata, Etsuko, Khan, Asad Ullah , Neidigk, Jason S Romero, Chen, Bo-Ruei , Tufail, Saba, Mujawar, Aaiyas , Decker, Olivia, Kadali, Krishna Reethika, Imtiaz, Azait, Jones, Brianna A, Zhang, Yanfeng , Gradilone, Sergio A. , Lewis, Zachary , Sen, Arko , Dutta, Anindya , Czaja, Wioletta , Dutta, Anindya , Czaja, Wioletta , Gradilone, Sergio A , Peixoto, Estanislao , Li, Yong , Neidigk, Jason Romero , Imtiaz, Azait, Jones, Brianna A, Lewis, Zachary , Contreras-Galindo, Rafael

Mayo Clinic

Nucleic Acids Research | October 21, 2025 | Volume: 53 | Issue: 22 | Pages: No page available

10.1093/nar/gkaf1201 | PMID 41297801 Get It

Abstract The SNF2 family chromatin remodeler HELLS has emerged as an important regulator of cell proliferation, genome stability, and several cancer pathways. Significant upregulation of HELLS has been reported in 33 human cancer types. While HELLS has been implicated in DNA damage response, its function in DNA repair is poorly understood. Here, we report a new regulatory link between HELLS and single-strand break (SSB) repair in cellular responses to DNA alkylation damage. We found that loss of HELLS impairs SSB repair and selectively sensitizes cells to DNA alkylating agents and PARP inhibitors (PARPi). Our data reveal non-epistatic interactions between HELLS and PARP1 and suggest that HELLS functionally compensates for PARP1 deficiency in promoting cell survival in response to DNA alkylation damage. Furthermore, we found that HELLS is co-expressed with PARP1 in cancer cells, and its loss is synthetic lethal with homologous recombination deficiency (HRD). This work unveils new functions of HELLS in modulating SSB repair and responses to clinically relevant DNA alkylation damage, thus offering new insights into the potential therapeutic value of targeting HELLS in cancer.
Enhanced Contrast-Free in vivo 3D Ultrasound Microvessel Imaging using Hadamard Multipulse Diverging Wave Transmission and Denoising with a 32×32 Matrix array
Zhang, Jingke , Huang, Lijie , Yin, Jingyi , Chen, Shigao , Zhang, Jingke , Lok, U‐Wai , Huang, Chengwu , DeRuiter, Ryan M.

Mayo Clinic

2025 IEEE International Ultrasonics Symposium (IUS) | October 20, 2025 | Volume: No volume available | Issue: No issue available | Pages: 1-4

10.1109/ius62464.2025.11201304 Get It

Acute Leukemias of Ambiguous Lineage With RUNX1 Mutations Show Similar Prognosis Compared to Acute Myeloid Leukemia With RUNX1 Mutations: A Study From the Bone Ma
Kirtek, Timothy , Chen, Weina , Harris, Jaryse , Bagg, Adam , Foucar, Kathryn , Tam, Wayne , Orazi, Attilio , Hasserjian, Robert P. , Wang, Sa A. , Ng, David P. , Reichard, Kaaren K. , Symes, Emily , Zhang, Xinmin , Weinberg, Olga K. , Kirtek, Timothy J , Wang, Sa A , Ng, David P , Shi, Min , Zhang, Xinmin , Arber, Daniel A , Orazi, Attilio , Hsi, Eric D. , George, Tracy I. , Arber, Daniel A.

Mayo Clinic

American Journal of Hematology | October 18, 2025 | Volume: 101 | Issue: 1 | Pages: 70-78

10.1002/ajh.70116 | PMID 41108621 Get It

ABSTRACT The World Health Organization (WHO) 5th Edition and International Consensus Classification (ICC) have continued to delineate more genetically defined acute leukemias. Both recognize genetic aberrations associated with myelodysplastic syndromes/neoplasms (MDS) as defining MDS‐related AML (AML‐MR). Mutations in RUNX1 are included in this category in the ICC, but not WHO. The current classifications are unclear on how acute leukemias with ambiguous lineage (ALAL), including those of mixed lineage (MPAL) and those without a defined lineage (AUL), should be categorized in the presence of such mutations. Our multi‐institutional study aims to determine the significance of RUNX1 mutation in ALAL compared to de novo AML. Newly diagnosed MPAL, AUL, and AML with RUNX1 mutations were collected. ALAL with MDS‐related cytogenetics, BCR::ABL1 , KMT2A rearrangements, or ZNF384 or BCL11b abnormalities were excluded. We analyzed 17 cases of ALAL and 71 cases of AML that met inclusion criteria. ALAL‐ RUNX1 and AML‐ RUNX1 showed overlapping mutational landscapes with frequent comutations in MDS‐associated genes. No ALAL‐ RUNX1 or AML‐ RUNX1 cases showed concomitant TP53 mutation. ALAL‐ RUNX1 had more bone marrow blasts and more karyotypic abnormalities; however, neither impacted survival, nor did RUNX1 variant allele frequency (VAF). Survival analysis revealed similarly poor outcomes between them. AML‐directed therapies and allogeneic hematopoietic stem cell transplant trended toward improved survival in ALAL‐ RUNX1; however, it did not reach significance. Our results suggest ALAL‐ RUNX1 is associated with younger age, higher blasts, and more karyotypic abnormalities, but has similar clinical and genetic features and outcomes to AML‐ RUNX1 . Our findings suggest, like other MR mutations, RUNX1 ‐mutated ALALs should be included within AML‐MR.
Association between Serum Glycerol-3-Phosphate and Fibroblast Growth Factor-23 in Nondiabetic Patients on Hemodialysis
Wilson, Scott , Zaslow, Shari J. , Sozio, Stephen M. , Jaar, Bernard G. , Perwad, Farzana , Estrella, Michelle M. , Martin, Aline , Parekh, Rulan S. , Chen, Wei , Wilson, Scott M , Zaslow, Shari, Robinson-Cohen, Cassiane , Estrella, Michelle M , Martin, Aline , Parekh, Rulan S , Chen, Wei

Mayo Clinic

Clinical Journal of the American Society of Nephrology | October 17, 2025 | Volume: 21 | Issue: 2 | Pages: 211-220

10.2215/cjn.0000000871 | PMID 41105473 Get It

Key Points Serum glycerol-3-phosphate (G3P) levels were significantly associated with higher fibroblast growth factor 23 levels in ESKD. Pathway and mediation analyses identified the pentose phosphate pathway as the top mediator of the relationship between serum G3P and fibroblast growth factor 23. The role of G3P in ESKD provides new insights into potential therapeutic targets for CKD-mineral and bone disorder. Background Fibroblast growth factor 23 (FGF23) is a key regulator of mineral metabolism that is independently associated with mortality in patients with ESKD. Glycerol-3-phosphate (G3P), a byproduct of glycolysis that can be derived from injured kidneys, stimulates FGF23 production. We aimed to determine if serum G3P is associated with FGF23 levels in patients with ESKD and identify potential molecular pathways that mediate their relationship. Methods We conducted a cross-sectional study of 99 nondiabetic patients with ESKD on hemodialysis. We used linear regression to examine the association between G3P terciles and log-transformed C-terminal FGF23 levels, adjusting for demographics, coronary artery disease, serum calcium, phosphorus, and parathyroid hormone. Mann–Whitney U tests compared 247 serum metabolite levels between the first and third FGF23 terciles; significant metabolites ( P < 0.01) were selected for pathway enrichment analyses. Top pathway scores were used in mediation analyses. Results The median age of participants was 54 years (interquartile range [IQR], 44–63), 38% were women, 71% self-identified as Black, and 27% had coronary artery disease. The median FGF23 level was 777 (interquartile range, 222–1310) RU/ml. In adjusted analyses, compared with participants with the lowest G3P tercile, those with the highest G3P tercile had a 95% higher FGF23 level (95% Confidence Interval, 6% to 260%; P = 0.04). Of the 27 metabolites significantly associated with FGF23 levels, pathway enrichment analysis identified the pentose phosphate pathway as the top hit (impact score=0.33, false discovery rate-adjusted P value = 0.01). The pentose phosphate pathway mediated the relationship between G3P and FGF23, resulting in a 62% change in the β coefficient. Conclusions In nondiabetic patients with ESKD on hemodialysis, serum G3P positively correlated with serum C-terminal FGF23, and this relationship was mediated by the pentose phosphate pathway. Exploring the pentose phosphate pathway could yield critical mechanistic insights into the regulation of FGF23, enhancing our understanding of its broader biologic functions.
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

Mayo Clinic

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

Mayo Clinic

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
Deep learning in CT image reconstruction and processing: techniques, performance evaluation, radiation dose, and future perspective
Yu, Lifeng , Chen, Guang‐Hong , Kachelrieß, Marc , Zeng, Rongping , Zhou, Zhongxing , Yu, Lifeng , Fletcher, Joel G. , Jiang, Lu

Mayo Clinic

British Journal of Radiology | October 16, 2025 | Volume: 98 | Issue: 1175 | Pages: 1775-1787

10.1093/bjr/tqaf260 | PMID 41099810 Get It

Abstract This article provides an overview of deep-learning–based techniques in CT image reconstruction and processing (referred to as “DLR”), covering technical implementations, performance evaluation, radiation dose reduction, and future perspectives. DLR methods can be categorized into projection-space, projection-to-image-space, image-space, and various hybrid techniques, with applications such as noise reduction, artefact correction, and spatial resolution enhancement. Performance evaluations include phantom-based studies, patient image-based studies, and virtual imaging trials. These evaluation studies demonstrated that DLR can effectively reduce image noise while preserving an image texture like in traditional filtered-backprojection (FBP) images, although the extent of radiation dose reduction varies widely depending on the study and the specific diagnostic task. Challenges remain in low-contrast lesion detection and characterization, where dose reduction may still be less than 50% compared to traditional reconstruction methods. Additionally, the potential for DLR methods to generate false structures or “hallucinations,” especially at low radiation doses, emphasizes the need for effective monitoring and mitigation strategies from both technical and clinical perspectives. Quantitative, accurate, and efficient evaluation techniques, such as virtual image trial-based methods, can be explored to help optimize these algorithms for reducing radiation dose and enhancing diagnostic performance.
Investigation of DNA Damage Response Genes Validates the Role of DNA Repair in Pediatric Cancer Risk and Identifies SMARCAL1 as a Novel Osteosarcoma Predisposition Gene
Oak, Ninad , Chen, Wenan , Blake, Alise K. , Harrison, Lynn , O’Brien, Martha A., Previti, Christopher , Balasubramanian, Gnanaprakash, Hirsch, Steffen , Penkert, Judith , Jones, Barbara C. , Schramm, Kathrin , Nathrath, Michaela , Witt, Olaf , Li, Jiaming , Ness, Kirsten K. , Kratz, Christian P. , Armstrong, Greg , Autry, Robert J. , Nichols, Kim E. , Armstrong, Gregory T. , Blake, Alise , Hirsch, Steffen , Penkert, Judith , Jones, Barbara C , Nathrath, Michaela , Pajtler, Kristian W , Jones, David T W , Witt, Olaf , Dirksen, Uta , Li, Jiaming , Sapkota, Yadav , Ness, Kirsten K , Guenther, Lillian M , Kratz, Christian , Wang, Zhaoming , Hudson, Melissa M , Wu, Gang , Nichols, Kim E , Sharma, Richa , O'Brien, Martha, Maaß, Kendra K. , Pajtler, Kristian W. , Jones, David , Sapkota, Yadav , Pfister, Stefan M. , Wang, Zhaoming , Hudson, Melissa M. , Wu, Gang , Sharma, Richa

Mayo Clinic

Journal of Clinical Oncology | October 9, 2025 | Volume: 43 | Issue: 36 | Pages: 3833-3843

10.1200/jco-25-01114 | PMID 41066719 Get It

PURPOSE Recent studies reveal that 5%-18% of children with cancer harbor pathogenic variants in known cancer-predisposing genes. However, DNA damage repair (DDR) genes, which are frequently somatically altered in pediatric tumors, have not been systematically examined as a source of novel cancer-predisposing signals. METHODS To address this gap, we interrogated 189 DDR genes for presence of germline predisposing variants (PV) among 5,993 childhood cancer cases and 14,477 adult noncancer controls (discovery cohort). PV were determined using a tiered approach incorporating ClinVar annotations, InterVar classification, and in silico tools (REVEL, CADD, and MetaSVM). Using logistic and firth regression, we identified genes with PV statistically enriched in the germline of children with tumors and replicated findings among 1,497 additional childhood cancer cases across three independent cohorts. RESULTS Analysis across all cases with cancer revealed enrichment of TP53 PV. Cancer-specific analyses confirmed known associations including germline TP53 PV in adrenocortical carcinoma, high-grade glioma (HGG), and medulloblastoma (MB), PMS2 in HGG and non-Hodgkin lymphoma (NHL), MLH1 in HGG, BRCA2 in NHL, and BARD1 in neuroblastoma. In addition, four novel associations were uncovered, including BRCA1 in ependymoma, SPIDR in HGG, SMC5 in MB, and SMARCAL1 in osteosarcoma (OS). Importantly, the SMARCAL1 :OS association was significant in the discovery (6/230, 2.6%, false discovery rate [FDR] logistic = 0.0189) as well as all three replication cohorts (Childhood Cancer Survivor Study: 8/275, 2.9%; P Fisher < .0001; Cancer Predisposition Syndrome-German Childhood Cancer Registry: 4/135, 3%, P Fisher = .002; Individualized Therapy for Relapsed Malignancies in Childhood: 4/217, 1.8%, P Fisher = .012). The remaining wild-type SMARCAL1 allele was deleted in three of four OS tumors with available data. CONCLUSION Our study confirms the relevance DDR genetic variation in pediatric cancer risk and establishes SMARCAL1 as a novel OS predisposing gene, providing insights into tumor biology and creating opportunities to optimize care for patients with this challenging tumor.