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381 citation(s) found for "Weiss, Y".

Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed
Blackwell, Thomas W., Kachuri, Linda , Castaldi, Peter J. , Cho, Michael H. , Christenson, Stephanie A. , Durda, Peter , Gabriel, Stacey , Hersh, Craig P. , Huntsman, Scott , Hwang, S.-J., Joehanes, Roby, Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching‐Ti , Liu, Yongmei , Mak, Angel C. Y. , Manichaikul, Ani , Paik, David T. , Saferali, Aabida , Smith, Joshua D. , Taylor, Kent D. , Wang, Jiongming , Weinstock, Joshua S. , Weiss, Jeffrey, Wheeler, Heather E. , Zhou, Ying , Zoellner, Sebastian, Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R.G. , Ortega, Victor E. , Johnson, Craig , Gan, Weiniu , Abecasis, Gonçalo , Nickerson, Deborah A. , Ardlie, Kristin G., Woodruff, Prescott G. , Bowler, Russell P. , Meyers, Deborah A. , Reiner, Alex, Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S. , Silverman, Edwin K. , Rich, Stephen S., Heard‐Costa, Nancy L. , Tang, Hua, Rotter, Jerome I. , Smith, Albert V. , Aguet, François, Scott, Laura J. , Raffield, Laura M. , Parker, Stephen C.J. , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pankow, James, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric, Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Rich, Stephen S. , Pankow, James S. , Reiner, Alex P. , Aguet, François , Johnson, W. Craig , Ardlie, Kristin , Orchard, Peter , Kachuri, Linda , Castaldi, Peter J , Cho, Michael H , Christenson, Stephanie A , Durda, Peter , Hersh, Craig P , Huntsman, Scott , Hwang, Seungyong , Joehanes, Roby , Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching-Ti , Liu, Yongmei , Mak, Angel C Y , Manichaikul, Ani W , Paik, David T , Smith, Joshua D , Taylor, Kent D , Tracy, Russell P , Wang, Jiongming , Wang, Mingqiang , Weinstock, Joshua S , Weiss, Jeffrey , Wheeler, Heather E , Zhou, Ying , Zöllner, Sebastian , Wu, Joseph C , Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R G , Ortega, Victor E , Johnson, W Craig , Gan, Weiniu , Gupta, Namrata , Ardlie, Kristin , Woodruff, Prescott G , Bowler, Russell P , Reiner, Alexander P , Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S , Silverman, Edwin K , Rich, Stephen S , Heard-Costa, Nancy , Tang, Hua , Rotter, Jerome I , Smith, Albert V , Levy, Daniel , Aguet, François , Scott, Laura J , Raffield, Laura M , Parker, Stephen C J , Pankow, James S , Tracy, Russell P. , Wu, Joseph C. , Larson, Martin G. , Cupples, L. Adrienne , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan , Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric , Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng

Mayo Clinic

Science | July 16, 2026 | Volume: 393 | Issue: 6808 | Pages: No page available

10.1126/science.adx2989 | PMID 42462027 Get It

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood ( n = 6454) and lung ( n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank–derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.
Fast Localized Calibration for Spatial‐Spectral Excitation Without Fly‐Back Gradients
Schär, Michael , Ganji, Sandeep , Ganji, Sandeep K , Schär, Michael , Weiss, Robert G., Hays, Allison G

Mayo Clinic

Magnetic Resonance in Medicine | July 9, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1002/mrm.70508 | PMID 42424098 Get It

ABSTRACT Purpose Standard spatial‐spectral excitation pulses apply a fly‐back gradient between sub‐pulses, limiting, for example, how thin the slices can be (> 4 mm). Without fly‐back gradients, slices can be as thin as 1.7 mm but require a phase calibration for the sub‐pulses with inverted gradients due to system imperfections. Here we propose and test a fast (< 1 s), localized pre‐scan enabling thin‐slice frequency‐selective excitation. Methods The calibration pre‐scan determines the correction phase between even and odd sub‐pulses by measuring the phase difference of two FIDs excited with either the last or second‐to‐last RF sub‐pulse of the spatial‐spectral pulse. Non‐localized and localized versions of the calibration pre‐scan are tested and validated for water‐only excitation in phantoms and the human heart. As an example, breath‐held coronary MR angiography is performed with a spiral multi‐slice sequence employing the proposed pulses with a slice thickness of 1.7 mm. Results The proposed calibration pre‐scan takes 11.1 ms per slice, whether it is localized or not. Localized calibration phases are validated with an image‐based calibration map. Slice profiles are visualized for pulses with different time‐bandwidth products. Fat is suppressed to below 20% and 25% of the surrounding water signal in both phantoms and the human heart, respectively. High‐quality coronary angiograms are demonstrated in all test subjects. Conclusion Spatial‐spectral pulses without fly‐back gradients can be calibrated quickly (up to 90 slices in 1 s), enabling thinner slices, higher excitation angles, or pulses with sharper slice profiles using waveforms with higher time‐bandwidth products.
Development of a Core Outcome Domain Set for Facial Aging
Dirr, McKenzie A. , Ahmed, Areeba, Schlessinger, Daniel I., Lazaro-Camp, Vanessa, Smith, SJ, Gullapalli, Thanvi, Dragovic, Doroteja, Chang, Joycie, Zhang, Elizabeth, Alam, Murad, Group, Facial Aging Core Outcome Domain Set Study, Anvery, Noor , Kang, Bianca Y. , Wong, Clarissa, Iyengar, Sanjana, Yanes, Arianna F. , Cotseones, Jill, Ashchyan, Hovik J. , Patel, P. M., Sheikh, Umar A., Franklin, Matthew , Hanna, Courtney, Chiren, Sarah G., Schmitt, J, Furlan, Karina C., Alexiades, Macrene, Alhusayen, Raed, Alster, Tina S. , Beer, Kenneth, Bertucci, Vince , Bloom, Jason D. , Briceño, César A., Bucay, Vivian, Butterwick, Kimberly J., Hugues, Cartier, Casabona, Gabriela, Connolly, Karen , Cox, Sue Ellen , Darmanescu, Monica, Boulle, Koenraad De , Desai, Shraddha, Donofrio, Lisa, Dover, Jeffrey S., Draelos, Zoe, Eisen, Daniel B. , El-Domyati, Moetaz, El-Garem, Yehia, Fischer, John, Fitzgerald, Rebecca, GALADARI, Hassan, Gladstone, Hayes B., Goldman, Mitchel P., Goodman, Greg J., Hanke, C. William , Humphrey, Shannon, Ibrahim, Sherrif F., Jagdeo, Jared, Karen, Julie, Kauvar, Arielle, Ag, Kibbi, KIM, JENNY, Lacerda, D T D, Lask, G, Lopez, Grace M., Lupo, Mary P. , Mariwalla, Kavita , Matarasso, Seth, Mekokishvili, L, Narins, Rhoda S., Ogilvie, P, Orringer, Jeffrey S. , Osaki, Tammy H. , Ozog, David, Pacheco, Theresa, Polder, Kristel, Rossi, Anthony M, Sadick, Neil, Saedi, Nazanin, Schlessinger, Joel, Sharad, Jaishree , Shenoy, SuchitraM, Sinclair, Rd, Solish, Nowell, Piansay‐Soriano, Miriam Emily , Sulyman, Omotara , Szeimies, Rolf‐Markus , Tanzi, Elizabeth L., Taub, Amy Forman , Taylor, Mark B., Thomas, J. Regan, Torezan, Luis, Tosti, Antonella, Touma, Dany, Almeida, Ada Regina Trindade de , Vedamurthy, Maya , Viana, Giovanni, Waldman, Abigail, Weinkle, Susan, Weiss, Robert, Poon, Emily, Cartee, Todd V. , Sobanko, Joseph F. , Eisen, Daniel B. , Ahmed, Areeba , Schlessinger, Daniel Isaac , Lazaro-Camp, Vanessa J, Christensen, Rachel E. , Ibrahim, Sarah A. , Cotseones, J.K., Umar, Sheikh Ahmad , Furlan, Karina Colossi , Alexiades, Macrene , Alhusayen, Raed , Beer, Kenneth Robert, Briceño, César Augusto , Bucay, Vivian , Casabona, Gabriela , Cotofana, Sebastian , Desai, Shraddha , Dover, Jeffrey S. , Draelos, Zoe Diana , Eisen, Daniel B., El-Domyati, Moetaz M. , El-Garem, Yehia, Fitzgerald, Rebecca, Friedmann, Daniel P. , Galadari, Hassan , Gladstone, Hayes B., Goldman, Mitchel P. , Goodman, Greg , Green, Jeremy B. , Halachmi, Shlomit , Humphrey, Shannon , Jagdeo, Jared R. , Jiang, Shang I. Brian , Kauvar, Arielle N.B. , Kibbi, Abdul‐Ghani , Kim, John V. S., LASK, GARY P., Matarasso, Seth L., Narins, Rhoda S., Ogilvie, Patricia , Osaki, Tammy H. , Pacheco, Theresa , Polder, Kristel D., Saedi, Nazanin, Shenoy, Manjunath , Sinclair, Rod, Solish, Nowell , Torezan, Luís , Tosti, Antonellá , Waldman, Abigail , Weiss, Robert, Maher, Ian A. , Kirkham, Jamie J

Mayo Clinic

JAMA Dermatology | June 17, 2026 | Volume: 162 | Issue: 8 | Pages: 829

10.1001/jamadermatol.2026.1697 | PMID 42307924 Get It

Importance Currently, there are no standardized outcome domains or measures in clinical trials for facial aging. Heterogeneity in outcome domains and measurement instruments across clinical trials creates difficulty in directly comparing interventions, determining superior therapies, and developing high-quality meta-analyses. Objective To develop a core outcome set (COS) of essential domains to be reported in clinical trials evaluating the efficacy of interventions for facial aging. Evidence Review PubMed/Medline, Embase, Cochrane Central Register of Controlled Trials, and CINAHL were searched from September 2005 to September 2015. An updated search of the same databases was performed from September 2015 to February 2026. Studies were included if (1) they were randomized clinical trial or controlled clinical trial in design, (2) they assessed the efficacy or safety of an intervention for facial aging, (3) they were published in English, and (4) they involved human participants. Complementary sources, including patient interviews, were used to capture further relevant outcomes. Two rounds of Delphi surveys, followed by consensus meetings, were used to identify outcome domains considered most important by both patient and physician stakeholders. Findings The final COS consists of 6 outcome domains: (1) overall convenience of treatment; (2) time to return to normal work and social activity; (3) overall assessment of focused area of treatment (at the point in time when treatment is expected to provide peak benefit); (4) duration of treatment effect; (5) severity of persistent local or systemic adverse events, including pigmentary change, skin texture change, delayed healing, scarring, and serious adverse events; and (6) patient satisfaction with treatment. Conclusions and Relevance The 6 outcome domains identified through a Delphi consensus are recommended for reporting in future facial aging trials to ensure that outcomes that matter most to patients and clinicians are measured and that results are comparable across interventions.
SARC041: A phase 3 randomized double-blind study of abemaciclib versus placebo in patients with advanced dedifferentiated liposarcoma.
Riedel, Richard F. , Riedel, Richard F , Dickson, Mark A. , Ballman, Karla V. , Weiss, Mia C. , Attia, Steven , Pollack, Seth M. , Choy, Edwin , Wagner, Andrew J. , Wilky, Breelyn A , Davis, Lara E. , Koff, Andrew, Tap, William D.

Mayo Clinic

Journal of Clinical Oncology | June 3, 2026 | Volume: 44 | Issue: 17_suppl | Pages: No page available

10.1200/jco.2026.44.17_suppl.lba2 Get It

LBA2 Background: Dedifferentiated liposarcoma (DDLS) remains a difficult disease to treat with limited systemic therapy options. Approved drugs offer modest benefit such as trabectedin (median progression-free survival [mPFS] 2.2 months [m]) or eribulin (mPFS 2.0m). The Cyclin-dependent kinase 4 (CDK4) oncogene is ubiquitously amplified in DDLS and is a rational therapeutic target. In single-arm phase 2 studies, treatment with selective CDK4 inhibitors resulted in mPFS 4.2m with palbociclib and mPFS 7.7m with abemaciclib. We hypothesized that treatment with abemaciclib would improve PFS compared to placebo in patients with recurrent or metastatic DDLS. Methods: SARC041 was a phase 3 randomized double-blind study of abemaciclib versus placebo. The study was open at 9 academic medical centers in the USA. Eligible patients (pts) had recurrent or metastatic DDLS (purely well-differentiated liposarcoma excluded), progression of disease by RECIST 1.1 in the 6 months prior to study entry, any number of prior systemic therapies, and adequate organ function and performance status. Pts were stratified by prior lines of therapy (0 vs 1 or more) and randomized 1:1 between abemaciclib 200 mg PO twice a day or matching placebo. Scans were every 6 weeks (every 12 weeks after week 36) and pts with progression of disease on placebo could cross over to open label abemaciclib. The primary endpoint was PFS. The design provided 80% power with two-sided 10% significance level to detect a hazard ratio of 0.6 by log-rank test. Secondary endpoints were overall response rate (ORR), PFS and response rate after crossover, and overall survival (OS). Data cutoff was March 1, 2026. Results: In total, 108 pts were randomized to receive abemaciclib (n = 54) or placebo (n = 54). Demographic/baseline characteristics were generally similar across treatment arms. Abemaciclib demonstrated a statistically significant improvement in PFS at 9.67m vs placebo at 1.52m (hazard ratio [HR] 0.39; 95% confidence interval [CI], 0.25–0.59; p < 0.001). ORR was 9.3% for abemaciclib vs 0% for placebo (p = 0.057). mOS was not reached with abemaciclib vs 25.45m with placebo (HR 0.55; 95% CI, 0.28–1.07; p = 0.077). mPFS after crossover from placebo to abemaciclib was 3.44m (95% CI 2.66, 6.84). ORR after crossover was 4.3% (95% CI 0.53%, 15%). mOS after crossover was 24.03m (95% CI: 11.7, NA). Grade 3 or higher adverse event rates were similar in both arms (p > 0.99). No new safety signals were observed. Conclusions: Abemaciclib demonstrated a statistically significant improvement in PFS vs placebo in pts with dedifferentiated liposarcoma, with an encouraging OS trend. These results support abemaciclib as a new treatment option for dedifferentiated liposarcoma. Clinical trial information: NCT04967521 .
SARC046: A phase II trial of nab-sirolimus in patients with progressing or symptomatic epithelioid hemangioendothelioma.
Wagner, Michael J. , Robinson, Denise, Movva, Sujana , Wilky, Breelyn A., Weiss, Mia C. , Bui, Nam, Overman, Lindsey , Okuno, Scott H. , Bui, Nam Q. , Bui, Nam , Ballman, Karla V. , Robinson, Denise, Coté, Gregory M. , Wilky, Breelyn A , Bui, Nam

Mayo Clinic

Journal of Clinical Oncology | May 28, 2026 | Volume: 44 | Issue: 16_suppl | Pages: No page available

10.1200/jco.2026.44.16_suppl.tps11592 Get It

TPS11592 Background: Epithelioid hemangioendothelioma (EHE) is an ultra-rare vascular sarcoma with about 120 cases diagnosed in the US per year. Although it is commonly considered an indolent disease, in its aggressive form clinical outcomes are poor. Molecularly, EHE is characterized by the presence of oncogenic fusions with HIPPO pathway effectors TAZ or YAP; TAZ-CAMTA1 or YAP-TFE3. YAP/TAZ are modulators of mTORC1 in preclinical models, suggesting that mTOR inhibition may be an effective treatment mechanism for EHE. Nab-sirolimus is albumin bound sirolimus, which achieves higher intratumoral accumulation compared to oral sirolimus and has demonstrated increased antitumor activity in preclinical cancer models compared to the oral mTOR inhibitors sirolimus and everolimus. This is an open label, multi-center, single arm, phase II clinical trial with a two-stage design, testing nab-sirolimus for progressing or symptomatic EHE. The primary objective is to determine ORR of nab-sirolimus in patients with EHE who require systemic treatment. We hypothesize that nab-sirolimus will have significant clinical efficacy for EHE as measured by the primary endpoint of objective response rate, as well as by secondary outcomes including progression free survival benefit over historical controls and by improvement in patient reported outcomes (PROs). If positive, this trial could lead to a new standard of care for treating EHE. Methods: This is a single arm, multi-center, phase 2 study with a two-stage design. Key inclusion criteria include histologically or cytologically confirmed EHE that is either progressing or clinically symptomatic, not a candidate for curative intent surgery, and requires systemic therapy in the opinion of the investigator, radiographically evaluable disease by RECIST v1.1, age ≥18 years, ECOG performance status ≤ 2, and adequate end organ function. With a Simon two-stage optimal design with one sided alpha 0.10, power 90%, assuming a historical control ORR 5% to detect an ORR of 20% (alternative hypothesis), 12 patients will be included in the first stage. If there is ≥ 1 response, an additional 25 patients will be enrolled to a total of 37 patients. ≥ 4 responses are needed for a significant result. The total planned accrual is 41 patients to account for unevaluable patients who may be enrolled, 10% above the required evaluable patients. Planned post hoc subgroup analyses will include outcomes by fusion type and presence of serosal effusions at the time of study enrollment. The trial is registered at clinicaltrials.gov NCT07104331. Clinical trial information: NCT07104331 .
EA1181: Accuracy of pre-surgery MRI to predict pathologic complete response after taxane, trastuzumab, and pertuzumab (THP) in HER2-positive breast cancer.
Tung, NM, Zhao, Fengmin, Partridge, Savannah C., Wright, Jean, Recht, Abram, Weiss, Anna, Tjoe, Judy A., Feldman, Sheldon M. , Smith, Mary Lou , O'Sullivan, Ciara Catherine, Sardesai, Sagar D., Winer, Eric P., Partridge, Ann H., Carey, L, DeMichele, Angela, Tung, Nadine , Zhao, Fengmin , Partridge, Savannah C , Recht, Abram , Weiss, Anna, Tjoe, Judy A., Rocque, Gabrielle B. , O’Sullivan, Ciara C. , Sardesai, Sagar , Badve, Sunil , Winer, Eric P. , Miller, Kathy D. , Partridge, Ann H. , Carey, Lisa A. , Rahbar, Habib , DeMichele, Angela , Wolff, Antonio C.

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 603-603

10.1200/jco.2026.44.16_suppl.603 Get It

603 Background: Accurate prediction of pathologic complete response (pCR) after preoperative therapy for HER2-positive (HER2+) breast cancer can help triage patients to immediate surgery vs additional preoperative therapy. Pre-surgery (i.e., after neoadjuvant therapy) imaging studies may help estimate the likelihood of pCR. In EA1181, patients (pts) with stage II-IIIA HER2+ breast cancer received four cycles of preoperative taxane, trastuzumab, and pertuzumab (THP×4). Pre-surgery imaging was required, though the specific imaging modality was not mandated. Here, we report the accuracy of pre-surgery breast MRI to predict pCR (ypT0/Tis, ypN0). Methods: Among 2,141 pts treated with THPx4, 1,378 had pre-surgery breast MRI and were representative of the overall cohort, although T3 tumors were more common (16% vs 9%). MRI reports were available for 1,351 pts; all reports were centrally reviewed and classified as radiologic complete response (rCR; no residual tumor enhancement and normalization of lymph nodes, if applicable) or radiologic residual disease (rRD). Reports with indeterminate radiologic response were independently reviewed by two study radiologists blinded to pathology outcomes. Among pts with rCR who had pathologic residual disease (pRD), we also assessed the extent of residual disease by residual cancer burden (RCB) score. Among pts with rRD who had a pCR, we determined the proportion who only had residual ductal carcinoma in situ (DCIS). Results: See Table. Conclusions: After neoadjuvant therapy, preoperative MRI accurately predicted pCR in 86% of patients with HER2+/ER− disease and may help identify patients who can proceed directly to surgery. MRI is insufficient to predict pCR for pts with HER2+/ER+ disease, as only 55% with complete response on MRI had a pCR at surgery. A pre-surgery MRI that indicated residual disease was accurate in 80% of pts with HER2+/ER+ disease, but in only 45% of pts with HER2+/ER- cancer. Accurately predicting residual disease after THPx4 allows for consideration of additional therapy that may increase the chance of pCR. Combining imaging like MRI with other biomarkers, such as tissue-based markers or circulating tumor DNA, may improve prediction of pCR and facilitate personalization of treatment decisions in HER2+ breast cancer. All pts with pre-surgery MRI (n=1351)pCR rate overall in this cohort = 47% MRI result Pathology pCR pRD rCR 70.6% (341/483) 29.4%(142/483) 78% had RCB1 rRD 34%(295/868) 21% of 295 had DCIS only 66.01% (573/868) ER- (n=589)*Overall pCR rate in ER- subset = 68% MRI result Pathology pCR pRD rCR 86.1% (205/238) 13.9% (33/238) 85% had RCB1 rRD 55.3% (194/351) 19% of 194 had only DCIS 44.7% (157/351) ER+ (n= 762)*Overall pCR rate in ER+ subset = 31% MRI result Pathology pCR pRD rCR 55.5% (136/245) 44.5% (109/245) 76% had RCB1 rRD 19.5% (101/517) 26% of 101 had only DCIS 80.5% (416/517)
Cohort-level safety and efficacy results for [ 212 Pb]VMT-α-NET in advanced somatostatin receptor subtype 2 (SSTR2+)–expressing neuroendocrine tumors (NETs): Cohorts 1–3.
Halfdanarson, Thorvardur Ragnar, Sukrithan, Vineeth, Mancini, Brandon Robert, Mosallaie, Seyed Ali, Balaraman, Savitha, Sibley, Gregory, Starr, Jason S., Anthony, Lowell , Liao, Chih-Yi, Mehr, Samuel, Weiss, J., Ramirez, Robert A., Iravani, Amir Iravani, Baratto, Lucia, Yang, Wenjing, Hanna, Alaa , Keefe, Stephen Michael, Puhlmann, Markus , Prasad, Vikas, Hálfdánarson, Þorvarður R. , Wahl, Richard L. , Sukrithan, Vineeth , Sibley, Gregory S., Starr, Jason S. , Liao, Chih‐Yi , Mehr, Samuel H., Weiss, Jared, Ramirez, Robert A., Keefe, MD Stephen, Prasad, Vikas

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 4173-4173

10.1200/jco.2026.44.16_suppl.4173 Get It

4173 Background: [ 212 Pb]VMT-α-NET is an alpha-particle radiation-delivering agent targeted to somatostatin receptor type 2 (SSTR2)-expressing tumors. Here, we present safety and efficacy results from the dose-finding phase 1/2a clinical trial (NCT05636618). Methods: This phase 1/2a dose-escalation study uses a Bayesian algorithm to identify an optimal dose of [ 212 Pb]VMT-α-NET for participants with advanced, well-differentiated NETs expressing SSTR2. Eligible participants must have unresectable or metastatic disease, documented radiologic progression following at least one prior systemic treatment, and evidence of SSTR2 expression (Krenning Score ³2) in ≥1 lesion confirmed on an FDA-approved somatostatin receptor PET scan. Patients previously treated with systemic peptide receptor radionuclide therapy (PRRT) are excluded from enrollment. During the dose-finding phase, participants may receive up to four administrations of [ 212 Pb]VMT-α-NET at their assigned dose level, and they are monitored for dose-limiting toxicities (DLTs) for 42 days and safety throughout the study. Efficacy is evaluated by investigators according to RECIST criteria v1.1. Dosimetry is included as a supportive analysis. Results: As of the 10-Dec-2025 data cut-off (DCO), 56 participants had been enrolled across Cohorts 1, 2, and 3 and received at least one dose of [ 212 Pb]VMT-α-NET: 2 participants in Cohort 1 (2.5 mCi), 46 in Cohort 2 (5 mCi), and 8 in Cohort 3 (6 mCi). No dose-limiting toxicities, grade 5 adverse events, treatment-related discontinuations, serious renal events, dysphagia, or clinically meaningful treatment-related myelosuppression were observed. The median follow-up for all treated participants was 40 weeks (range 6–97). Efficacy has been summarized in this abstract for 25 participants (2 in Cohort 1 and 23 in Cohort 2). Nineteen of these 25 participants remained progression-free at the time of the DCO, with a median efficacy follow-up of 49 weeks (range 6–97). In Cohort 2, investigators observed RECIST v1.1 objective responses in 9 of 23 participants (39%), including 8 confirmed responses. Both participants in Cohort 1 continued to exhibit stable disease after two years of follow-up. Updated safety for all participants and updated efficacy for participants with sufficient maturity beyond the 25 summarized here will be presented at the congress. Conclusions: Treatment with [ 212 Pb]VMT-α-NET continues to demonstrate a favorable safety profile across all treated participants (n = 56) and shows signs of sustained efficacy at the 2.5 mCi and 5 mCi dose levels. The therapy has been well-tolerated with no observed dose-limiting toxicities or serious treatment-related adverse outcomes. Based on these encouraging safety and efficacy findings, the study is ongoing, and enrollment into Cohort 3 (6 mCi) remains active. Clinical trial information: NCT05636618 .
Effect of a weight loss intervention (WLI) on quality of life (QOL) and symptoms in women with breast cancer: Results from the Breast Cancer Weight Loss (BWEL) trial.
Ligibel, Jennifer A. , Hershman, Dawn L., Dueck, A. C. , McCall, Linda, Ginos, Brenda, Weiss, Anna, Hahn, Olwen, Spears, Patricia, Paskett, Electra D., Hopkins, Judith O. , Frank, Elizabeth S., Bernstein, Vanessa , Stearns, Vered, White, Julia R., Wadden, Thomas, Winer, Eric P., Carey, L, Partridge, Ann H., Hershman, Dawn L. , Goodwin, Pamela J. , Paskett, Electra D. , Mayer, Erica L. , Stearns, Vered , White, Julia , Wadden, Thomas A., Winer, Eric P. , Carey, Lisa A. , Partridge, Ann H.

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 12010-12010

10.1200/jco.2026.44.16_suppl.12010 Get It

12010 Background: BWEL (Alliance A011401; NCT02750826) is a Phase III trial that randomizes patients (pts) with stage II-III breast cancer and body mass index (BMI) ≥27 kg/m 2 1:1 to a 24-month (mo) lifestyle-based WLI + health education (HE) or HE alone. Here we report prespecified secondary outcomes of the impact of the WLI on patient-reported QOL and symptoms. Methods: The first 540 BWEL pts (randomized between 9/2016 and 7/2017) were included in this substudy that collected PROMIS 29 Profile 2.0 and Global Health scores at enrollment, 6 and 24 mos. Adjusting for baseline scores, mean physical function (predefined substudy primary outcome), global physical and mental health, fatigue and other scores were compared at 6 and 24 mos using analysis of covariance (ANCOVA). P-values <0.05 were considered significant. Positive differences in positive attributes (e.g., physical function) and negative differences in negative attributes (e.g., anxiety) represented better outcomes in the WLI arm. Results: At baseline, median BMI was 32.9 kg/m 2 (26.5 – 69.1), median age was 53 (25 - 78) years; 83.9% of pts were non-Hispanic White, 10.7% were Black and 5.9% were Hispanic. At 6 mos, the WLI (vs HE) arm had significantly better physical function (ANCOVA-based mean difference between arms 1.9 [95% CI 0.8, 3.0]; p<0.001), global physical health (2.0 [95% CI 0.9, 3.0]; p<0.001), global mental health (1.30 [95% CI 0.2, 2.4], p=0.03), social roles and activities (2.3 [95% CI 1.1, 3.6]; p<0.001), and fatigue (-1.7 [95% CI -3.1, -0.4], p=0.01) (Table). Improvements were generally maintained at 24 mos. Similar findings were seen in analyses using longitudinal mixed modeling. Conclusions: The BWEL WLI demonstrated QOL benefits for patients with breast cancer, resulting in significantly better physical function, global physical and mental health, and symptoms. Future analyses will evaluate which populations experienced the most benefit, as well as the relationships among QOL, symptoms, and weight loss. Support: U10CA180821, U10CA180882, UG1CA189823; U10CA180820; U10CA180868; U10CA180863, CCS 707213; U10CA180888; UG1CA189858; https://acknowledgments.alliancefound.org. Clinical trial information: NCT02750826 . Analysis of covariance-adjusted least squares means values at 6-mos adjusted for baseline scores. QOL/Symptom Attributes HE WLI Between arm difference (95% CI)* P value Physical Function 47.1 49.0 1.9 (0.8, 3.0) <0.001 Global Physical Health 46.2 48.1 2.0 (0.9, 3.0) <0.001 Global Mental Health 48.6 49.9 1.3 (0.2, 2.4) 0.03 Social Roles and Activities 52.7 55.0 2.3 (1.1, 3.6) <0.001 Anxiety 50.2 50.0 -0.2 (-1.6, 1.2) 0.77 Depression 47.5 47.5 -0.0 (11.2, 1.2) 0.96 Fatigue 50.6 48.9 -1.7 (-3.1, -0.4) 0.01 Sleep Disturbance 51.0 51.1 0.1 (-0.6, 0.8) 0.80 Pain Interference 51.3 50.3 -1.0 (-2.4, 0.4) 0.15 *Positive differences in positive attributes and negative differences in negative attributes favor WLI arm.
Determinants of Titanium Hardware Exposure Following Cranioplasty: A Case-Control Study
Green, Katerina J. , Dahiya, Rockey , Weiss, Natalie, Chaichana, Kaisorn, Pirgousis, Phillip , Green, Katerina , Weiss, Natalie , Chaichana, Kaisorn L.

Mayo Clinic

Journal of Craniofacial Surgery | May 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1097/scs.0000000000012887 | PMID 42138296 Get It

Objectives: Despite advantages of titanium mesh, hardware exposure affects up to 25% of cases reported in the literature. We aim to identify risk factors associated with titanium mesh exposure following cranioplasty and characterize early wound changes that may signal impending hardware exposure. Methods: A review of 34 patients who underwent titanium mesh cranioplasty between 2015 and 2025 was performed. Seventeen patients with hardware exposure were matched 1:1 with 17 controls. Data on demographics, comorbidities, operative details, and postoperative complications were collected. Statistical analysis included Fisher exact test and t tests, with significance set at P <0.05. Results: Significant risk factors for titanium hardware exposure included a history of metal allergy and reconstruction with advancement flaps. Significant protective factors included patients undergoing postoperative radiation therapy and reconstruction with rotational flaps. Conclusions: Titanium mesh exposure risk increases with metal allergy history, postoperative radiotherapy, and use of advancement flaps for reconstruction. Recognition of early wound changes is crucial for timely intervention. These findings support individualized surgical planning and highlight the need for close postoperative monitoring to reduce complications and improve reconstructive outcomes.