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920 citation(s) found for "Yu, Cheng".

Risankizumab for Ulcerative Colitis
Louis, Edouard, Panaccione, Remo, Biedermann, Luc , Colombel, Jean–Frédéric, D’Haens, Geert , Hisamatsu, Tadakazu , Siegmund, Britta , Boland, Brigid S. , Melmed, Gil , Armuzzi, Alessandro , Levine, Phillip, Kalabic, Jasmina , Cheng, Ling, Shu, Lei , Duan, W. Rachel, Pivorunas, Valerie , González, Yuri Sánchez , D’Cunha, Ronilda , Neimark, Ezequiel, Wallace, Kori, Ferrante, Marc , Group, INSPIRE and COMMAND Study, Balderramo, Domingo , Goncalves, Silvina A., Lasa, Juan, Novillo, Abel, Ruffinengo, Orlando, Heeren, Sonja, Reinisch, Walter , Baert, Filip , Colard, A, Ferrante, Marc, Franchimont, Denis , Rahier, Jean‐François , Francesconi, Carlos Fernando de Magalhães , Stanchev, Desislav , Atkinson, Kenneth, Beaton, Melanie, Greenbloom, Susan, Lachance, Jean-Rene, Lim, Allen, Samson, Jean-Michel, Shulman, Scott, Siffledeen, Jesse, Alfaro, Ignacio , Valenzuela, Carlos , Walsen, Gustavo, An, Ping , Cao, Qian , Chen, Yan , Gao, Xiang , Hou, Xiaohua , Hu, Naizhong, Liu, Mei , Lungen, LU, Ran, Zhihua, Tang, Tongyu , Yang, Shaoqi , Zhan, Qiang , Zhang, Guoxin , Zhang, Xiaolan , Zhong, Jie , Zou, Xiaoping, Álvarez, Eligio, Ricaurte, Juan, Borzan, Vladimir , Puljiz, Željko , Svoboda, Pavel , Ulbrych, Jan, Vaňásek, Tomáš , Ali, Ezzat, Salem, Osama , Sawah, Hisham, Altwegg, Romain , Flamant, Mathurin, Hébuterne, Xavier , Deppe, Herbert, Klaus, Jochen , Kucharzik, Torsten , Mertens, Jessica, Mroß, Michael, Reindl, Wolfgang , Schiefke, Ingolf, Schreiber, Stefan, Sturm, Andreas , Bamias, Georgios, Manolakopoulos, Spilios , Mantzaris, Gerassimos J. , Tzouvala, Maria , Viazis, N. , Avni‐Biron, Irit , Goldin, Eran , Katz, Lior H. , Lahat-Zok, Adi, Segal, Arik, Colecchia, Antonio , Cosintino, R. , Geccherle, Andrea, Monteleone, Giovanni , Privitera, Antonino Carlo , Vangeli, Marcello, Abe, Yasuhiko , Aoyama, Nobuo , Endo, Yutaka , Esaki, Motohiro, Fujii, Toshimitsu , Fukuda, Katsuyuki , Hirai, Fumihito , Hisanaga, Yasuhiro, Horiki, Noriyuki , Iguchi, Mikitaka , Ishiguro, Yoh , Ito, Hiroaki , Kamikozuru, Koji , Kato, Jun , Kawanishi, Teruki, Kobayashi, Taku , Kuge, Hiroyuki , Masuda, Tomoyuki, Matsuoka, Katsuyoshi , Matsushima, Kayoko , Matsushima, Masashi, Motoya, Satoshi , Nakai, Katsuhiko, Nakajima, Koichi, Nakamura, Masanao, Nishida, Atsushi , Nishikawa, Takahiro , Nishimata, Nobuaki, Ochiai, Toshiaki, Ohmiya, Naoki , Ohnishi, Yoshifumi , Oka, Shiro , Ozeki, Keiji , Saito, Daisuke, Saruta, Masayuki, Sasaki, Makoto, Shimizu, Masahito , Sujino, Tomohisa , Takatori, Hajime , Takatsu, Noritaka , Tokito, Satoki, Endo, Toshiyuki, Toyokawa, Tatsuya , Uenoyama, Yoshito , Yamamoto, Takatsugu, Yasuda, Hiroshi , Yokoyama, Kaoru , Jonaitis, Laimas, Kazėnaitė, Edita, Te, Lourdes Lol-be Pinzon, Lutgens, Maurice, Brooker, James, Griffiths, Ben, Inns, Stephen , Schultz, Michael, Eszyk, Jerzy, Kleczkowski, D, Kopoń, Adam, Petryka, Robert, Romańczyk, Tomasz , Rydzewska-Wyszkowska, Grażyna , Sikorski, Piotr, Talarek, Michał, Ministro, Paula , Tavares, Helena, Diculescu, Mihai-Mircea, Goldiș, Adrian , Agafina, Alina, Edin, Anton, Gerasimova, Evgenia, Gettueva, Maryana, Кашников, В. Н. , Pirmagomedov, Albert , Rafalskiy, Vladimir , Шарапова, К. М., Varganova, Daria L , Grgov, Saša, Svorcan, Petar , Tarabar, Dino, Ling, Khoon Lin , Baláž, Jozef, Ďurina, J, Greguš, Miloš, Laclav, Martin , Deetlefs, Eduan, Peter, Jonny , Rajabally, Muhammad, Rosa, Jennifer, Zyl, JI van, Wright, John , Jang, Byung Ik , Kang, Sang-Bum, Kim, Duk-Hwan , Kim, Tae Oh , Kim, Young-Ho , Song, Geun Am , Laria, Luisa Castro, Piudo, Ana Echarri, Ramirez, Vincent Hernandez, Martín‐Arranz, María Dolores , Trastoy, Pilar Varela, Mendoza, M Vera, Lördal, Mikael, Chang, Chung-Hsin, Kuo, Chia-Jung , Lin, Ching‐Pin , Tu, Chia–Hung, Erzın, Yusuf , Soykan, İrfan , Kravchenko, Tetiana , Tsarynna, Nataliia, Vyshyvanyuk, Vira , Cummings, Fraser , Kapur, Kapil , Kaser, Arthur , Kent, Alexandra , Parkes, Gareth, Patel, Kamal , Steel, Alan , Aberra, Faten , Aguilar, Humberto , Al‐Bawardy, Badr , Barnes, Matthew D., Beck, Kendall , Berkelhammer, Charles , Bullock, Jeff, Chiplunker, Adeeti , Dalal, Robin, Dalal, Sushila , Delgado, Belkis, DiGiovanna, Michael P., Duvall, George, Freedland, Curtis, Friedenberg, Keith, Gaidos, Jill , Ginsburg, Philip, Hassanein, Tarek , Higgins, Peter , Hou, Jason K. , Huilgol, Vivek, Inamdar, Nikhil, Kapur, Saurabh, Kerman, David H., Levine, Henry, Lodhia, Nilesh, Mayoral, Jaime L., McNeil, Donald, Mushahwar, Andria M., Ojeas, Harry, Patel, Bhaktasharan, Phillips, Raymond E. , Pouzar, Joe, Sarles, H, Schock, Joel, Sedghi, Shahriar , Shah, Nirav V. , Stokesberry, David, Su, Le‐Chu, Verma, Dharmendra, Weber, John T. , Younes, Ziad , Zisman, Timothy L. , Melmed, Gil Y , Kobayashi, Taku , Siegmund, Britta , Schreiber, Stefan , Bossuyt, Peter , Parkes, Gareth, Peyrin‐Biroulet, Laurent , Wu, Kaichun , Chen, Su , Atreya, Raja Narayana , Loftus, Edward V. , Group, INSPIRE and COMMAND Study, Reinisch, Walter , Dewit, Olivier , Franchimont, Denis , Kaiser, Roberto Luiz , Parra, Rogério Serafim , Sassaki, Lígia Yukie , Пенчев, Пламен , Bessissow, Talat , Lachance, Jean-René, Panaccione, Remo , Walsen, Gustavo, Chen, Youxiang , Li, Yan , Liu, Fei , Wang, Xin , Zhan, Qiang, Zhang, Hu , Zhang, Jie , Ricaurte, Juan, Krznarić, Željko , Bortlík, Martin , Svoboda, Pavel, Kjeldsen, Jens , Munck, Lars Kristian , Poulsen, Anja, Waked, Imam A. , Fumery, Mathurin , Laharie, David , Roblin, Xavier , Tréton, Xavier , Deppe, Herbert, Hasselblatt, Peter , Kandulski, Arne , Krause, Thomas , Naumann, Axel, Schreiber, Stefan , Schubert, Stefan, Κoutroubakis, Ioannis E. , Ardizzone, Sandro , Cicala, Michele , Gasbarrini, Antonio , Giannini, Edoardo Giovanni , Gionchetti, Paolo , Luzza, Francesco , Saibeni, Simone , Abe, Yasuhiko, Asonuma, Kunio , Hisanaga, Yasuhiro, Ishigami, Keisuke, Kakuta, Yoichi , Maemoto, Atsuo , Nakajima, Koichi, Nishida, Atsushi, Sasaki, Makoto, Sugimoto, Ken , Suzuki, Takayoshi , Takedatsu, Hidetoshi , Takeuchi, Ken, Tanaka, Hiroki , Tokito, Satoki, Yamamoto, Takayuki , Derovs, Aleksejs , Puķītis, Aldis , Jonaitis, Laimas Virginijus , Gearry, Richard B. , Griffiths, Ben, Kierkuś, Jarosław , Reguła, Jarosław , Cerqueira, Rute Maria , Goncalves, Tiago, Lopes, Susana , Portela, Francisco , Seicean, Andrada , Gerasimova, Evgenia, Sharapova, Ksenia, Smolyarchuk, Е. А. , Jovanović, Igor , Balaz, Jozef, Drobne, David , Wright, John, Cheon, Jae Hee , Kim, Jee Hyun , Lee, Jong Hun , Lee, Kang‐Moon , Park, Dong Il , Argüelles‐Arias, Federico , Piudo, Ana Echarri, García‐López, Santiago , Ramirez, V Hernández, Misselwitz, Benjamin , Chou, Jen‐Wei , Tu, Chia‐Hung , Alkım, Hüseyin , Kravchenko, Tetiana, Ahmad, Tariq, Parkes, Gareth, Speight, Richard, Ananthakrishnan, Ashwin N. , Barnes, Matthew, Bullock, Jeff, DiGiovanna, Michael, Hong, John D. , Huilgol, V.R., Phillips, Raymond, Siddiqui, Junaid, Swaminath, Arun C. , Weber, John, Matsuoka, K

JAMA | July 22, 2024 | Volume: 332 | Issue: 11 | Pages: 881

10.1001/jama.2024.12414 | PMID 39037800 Get It

Importance The clinical effects of risankizumab (a monoclonal antibody that selectively targets the p19 subunit of IL-23) for the treatment of ulcerative colitis are unknown. Objective To evaluate the efficacy and safety of risankizumab when administered as an induction and a maintenance therapy for patients with ulcerative colitis. Design, Setting, and Participants Two phase 3 randomized clinical trials were conducted. The induction trial was conducted at 261 clinical centers (in 41 countries) and enrolled 977 patients from November 5, 2020, to August 4, 2022 (final follow-up on May 16, 2023). The maintenance trial was conducted at 238 clinical centers (in 37 countries) and enrolled 754 patients from August 28, 2018, to March 30, 2022 (final follow-up on April 11, 2023). Eligible patients had moderately to severely active ulcerative colitis; a history of intolerance or inadequate response to 1 or more conventional therapies, advanced therapies, or both types of therapies; and no prior exposure to risankizumab. Interventions For the induction trial, patients were randomized 2:1 to receive 1200 mg of risankizumab or placebo administered intravenously at weeks 0, 4, and 8. For the maintenance trial, patients with a clinical response (determined using the adapted Mayo score) after intravenous treatment with risankizumab were randomized 1:1:1 to receive subcutaneous treatment with 180 mg or 360 mg of risankizumab or placebo (no longer receiving risankizumab) every 8 weeks for 52 weeks. Main Outcomes and Measures The primary outcome was clinical remission (stool frequency score ≤1 and not greater than baseline, rectal bleeding score of 0, and endoscopic subscore ≤1 without friability) at week 12 for the induction trial and at week 52 for the maintenance trial. Results Among the 975 patients analyzed in the induction trial (aged 42.1 [SD, 13.8] years; 586/973 [60.1%] were male; and 677 [69.6%] were White), the clinical remission rates at week 12 were 132/650 (20.3%) for 1200 mg of risankizumab and 20/325 (6.2%) for placebo (adjusted between-group difference, 14.0% [95% CI, 10.0%-18.0%], P < .001). Among the 548 patients analyzed in the maintenance trial (aged 40.9 [SD, 14.0] years; 313 [57.1%] were male; and 407 [74.3%] were White), the clinical remission rates at week 52 were 72/179 (40.2%) for 180 mg of risankizumab, 70/186 (37.6%) for 360 mg of risankizumab, and 46/183 (25.1%) for placebo (adjusted between-group difference for 180 mg of risankizumab vs placebo, 16.3% [97.5% CI, 6.1%-26.6%], P < .001; adjusted between-group difference for 360 mg of risankizumab vs placebo, 14.2% [97.5% CI, 4.0%-24.5%], P = .002). No new safety risks were detected in the treatment groups. Conclusion and Relevance Compared with placebo, risankizumab improved clinical remission rates in an induction trial and in a maintenance trial for patients with moderately to severely active ulcerative colitis. Further study is needed to identify benefits beyond the 52-week follow-up. Trial Registration ClinicalTrials.gov Identifiers: NCT03398148 and NCT03398135
Association between renin‐angiotensin antagonism and COVID‐19–related mortality in patients with essential hypertension: A single center, retrospective cohort study
Kamalumpundi, Vijayvardhan , Kawasaki, Shuntaro, Cheng, Linhai , Meyers, Erin , Shams, Elham , Ofori, Ologibe, Eddin, Assim Saad , Correia, Marcelo , Meyers, Erin E , Eddin, Assim , Correia, Marcelo L G

The Journal of Clinical Hypertension | July 14, 2024 | Volume: 26 | Issue: 9 | Pages: 1039-1044

10.1111/jch.14869 | PMID 39003579 Get It

AbstractThere is conflicting evidence in select mouse models and humans that suggest angiotensin‐converting enzyme 2 expression is increased due to treatment with angiotensin converting enzyme inhibitors and angiotensin receptor blockers (ACEI/ARBs). Given the wide range of conditions that these medications treat, further evaluation is necessary to determine safety in the context of COVID‐19. We sought to determine the association between use of ACEI/ARBs and COVID‐19 severity in patients with essential hypertension. We included 714 patients with essential hypertension diagnosed with COVID‐19 and admitted to University of Iowa Healthcare from March 1, 2020 to June 29, 2021. Severity of COVID‐19 infection was assessed based on mortality, length of stay in hospital, intensive care unit admission, and use of supplemental oxygen, invasive ventilation, and vasopressors. Multivariable logistic and linear regression analyses were used for binary and continuous outcomes, respectively. Prior exposure to ACEI/ARBs before admission was significantly associated with lower mortality (OR: 0.454, p = .015), shorter length of stay in hospital (p < .001), and decreased adjusted odds of intensive care admission (OR: 0.719; p < .042). The present results suggest that patients with essential hypertension hospitalized with COVID‐19 who had a prescription for ACEI/ARBs prior to admission exhibited less severe COVID‐19 and lower in‐hospital mortality.
STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability
Chen, Jinghong , Zhu, Lingxuan , Zeng, Dongqiang , Qi, Chang , Tang, Bufu , Shi, Wenjie , Guo, Shipeng, Sun, Xu , Ngo, Trunghieu, Pu, Zhongji , He, Yongbin, Wu, Haiyang , Cheungpasitporn, Wisit, Huang, Haojie , Wang, Shixiang , Cabannes, Loïc, Ren, Gerald Sng Gui , Ali, Stephen R , Cheng, Quan, Miao, Kai , Mou, Weiming , Lin, Anqi , Zeng, Dongqiang, Liu, Zaoqu , Jiang, Aimin , Shi, Wenjie, Kahlert, Ulf D. , Zhou, Jian‐Guo , Lu, Xiaofan , Jia, Baolei , Jeon, Che Ok , Gu, Shuqin , Cheungpasitporn, Wisit , Mao, Weipu , Chen, Xin , Cabannes, Loïc, Whitaker, Iain Stuart , Cheng, Quan, Yuan, Shuofeng , Luo, Peng

iMetaOmics | July 2, 2024 | Volume: 1 | Issue: 1 | Pages: No page available

10.1002/imo2.7 | PMID 41675544 Get It

Abstract Generative artificial intelligence (AI) holds immense potential for medical applications, but the lack of a comprehensive evaluation framework and methodological deficiencies in existing studies hinder its effective implementation. Standardized assessment guidelines are crucial for ensuring reliable and consistent evaluation of generative AI in healthcare. Our objective is to develop robust, standardized guidelines tailored for evaluating generative AI performance in medical contexts. Through a rigorous literature review utilizing the Web of Sciences, Cochrane Library, PubMed, and Google Scholar, we focused on research testing generative AI capabilities in medicine. Our multidisciplinary team of experts conducted discussion sessions to develop a comprehensive 32‐item checklist. This checklist encompasses critical evaluation aspects of generative AI in medical applications, addressing key dimensions such as question collection, querying methodologies, and assessment techniques. The checklist and its broader assessment framework provide a holistic evaluation of AI systems, delineating a clear pathway from question gathering to result assessment. It guides researchers through potential challenges and pitfalls, enhancing research quality and reporting and aiding the evolution of generative AI in medicine and life sciences. Our framework furnishes a standardized, systematic approach for testing generative AI's applicability in medicine. For a concise checklist, please refer to Table S or visit GenAIMed.org .
The IDH paradox: Meta-analysis of alkylating chemotherapy in IDH -wild type and -mutant lower grade gliomas
Roy, Soumyajit , Brown, Paul D. , DeStephano, David, Canoll, Peter , Qureshi, Summer S., Gallito, Matthew, Sisti, Michael B. , Bruce, Jeffrey N. , Horowitz, David P. , Kachnic, Lisa A. , Neugut, Alfred I. , Cheng, Simon K. , Wang, Tony J. C. , Kinslow, Connor J , Bruce, Jeffrey N , Wang, Tony J C , IWAMOTO, FABIO MASSAITI , Gallito, Matthew, Yu, James B. , Mehta, Minesh P.

Neuro-Oncology | June 28, 2024 | Volume: 26 | Issue: 10 | Pages: 1839-1849

10.1093/neuonc/noae102 | PMID 38943513 Get It

Abstract Background IDH-wild type (-wt) status is a prerequisite for the diagnosis of glioblastoma (GBM); however, IDH-wt gliomas with low-grade or anaplastic morphology have historically been excluded from GBM trials and may represent a distinct prognostic entity. While alkylating agent chemotherapy improves overall survival (OS) and progression-free survival (PFS) for IDH-wt GBM and also IDH-mutant gliomas, irrespective of grade, the benefit for IDH-wt diffuse histologic lower-grade gliomas is unclear. Methods We performed a meta-analysis of randomized clinical trials for World Health Organization (WHO) grades 2–3 gliomas (2009 to present) to determine the effect of alkylating chemotherapy on IDH-wt and -mutant gliomas using a random-effects model with inverse-variance pooling. Results We identified 6 trials with 1204 patients (430 IDH-wt, 774 IDH-mutant) that evaluated alkylating chemoradiotherapy versus radiotherapy alone, allowing us to perform an analysis focused on the value of adding alkylating chemotherapy to radiotherapy. For patients with IDH-wt tumors, alkylating chemotherapy added to radiotherapy was associated with improved PFS (HR:0.77 [95% CI: 0.62–0.97], P = .03) but not OS (HR:0.87 [95% CI: 0.64–1.18], P = .17). For patients with IDH-mutant tumors, alkylating chemotherapy added to radiotherapy improved both OS (HR:0.52 [95% CI: 0.42–0.64], P &lt; .001) and PFS (HR = 0.47 [95% CI: 0.39–0.57], P &lt; .001) compared to radiotherapy alone. The magnitude of benefit was similar for IDH-mutant gliomas with or without 1p19q-codeletion. Conclusions Alkylating chemotherapy reduces mortality by 48% and progression by 53% for patients with IDH-mutant gliomas. Optimal management of IDH-wt diffuse histologic lower-grade gliomas remains to be determined, as there is little evidence supporting an OS benefit from alkylating chemotherapy.
Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes
Harmon, Stephanie A. , Naqvi, Syed Arsalan Ahmed , Cheng, Liang , Riaz, Irbaz Bin , Cheng, Liang , Chen, Zhijun

American Society of Clinical Oncology Educational Book | June 27, 2024 | Volume: 44 | Issue: 3 | Pages: No page available

10.1200/edbk_438516 | PMID 38935882 Get It

The landscape of prostate cancer care has rapidly evolved. We have transitioned from the use of conventional imaging, radical surgeries, and single-agent androgen deprivation therapy to an era of advanced imaging, precision diagnostics, genomics, and targeted treatment options. Concurrently, the emergence of large language models (LLMs) has dramatically transformed the paradigm for artificial intelligence (AI). This convergence of advancements in prostate cancer management and AI provides a compelling rationale to comprehensively review the current state of AI applications in prostate cancer care. Here, we review the advancements in AI-driven applications across the continuum of the journey of a patient with prostate cancer from early interception to survivorship care. We subsequently discuss the role of AI in prostate cancer drug discovery, clinical trials, and clinical practice guidelines. In the localized disease setting, deep learning models demonstrated impressive performance in detecting and grading prostate cancer using imaging and pathology data. For biochemically recurrent diseases, machine learning approaches are being tested for improved risk stratification and treatment decisions. In advanced prostate cancer, deep learning can potentially improve prognostication and assist in clinical decision making. Furthermore, LLMs are poised to revolutionize information summarization and extraction, clinical trial design and operations, drug development, evidence synthesis, and clinical practice guidelines. Synergistic integration of multimodal data integration and human-AI integration are emerging as a key strategy to unlock the full potential of AI in prostate cancer care.
Adjuvant Trastuzumab Emtansine Versus Paclitaxel Plus Trastuzumab for Stage I Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer: 5-Year Results and Correlative Analyses From ATEMPT
Tarantino, Paolo , Tayob, Nabihah , Villacampa, Guillermo , Dang, Chau T. , Isakoff, Steven J. , Valero, Vicente , Faggen, Meredith, Mulvey, Therese M. , Bose, Ron , Weckstein, Douglas, Reeder‐Hayes, Katherine E. , Ramaswamy, Bhuvaneswari , Zuckerman, Dan Sayam , Hart, Lowell L., Gadi, Vijayakrishna K. , Constantine, Michael, Cheng, Kit , Garrett, Audrey Merrill, Albain, Kathy S. , DeFusco, Patricia, Ardman, Blair, Nanda, Rita , Jankowitz, Rachel C. , Rimawi, Mothaffar F. , Pohlmann, Paula R. , Poznak, Catherine Van , Forero‐Torres, Andres , Liu, Minetta C. , Ruddy, Kathryn J. , Waks, Adrienne G., DeMeo, Michelle K. , Burstein, Harold J. , Dell’Orto, Patrizia , Russo, Leila, Krause, Emma , Newhouse, Daniel , Schneider, Bryan P. , Krop, Ian E. , Tolaney, Sara M. , Curigliano, Giuseppe , Hui, Winnie W. , Kirkup, Christian , Viale, Giuseppe , Prat, Aleix , Isakoff, Steven J , Mulvey, Therese Marie , Bose, Ron , Wolff, Antonio C , Reeder-Hayes, Katherine , Rugo, Hope S , Zuckerman, Dan , Gadi, Vijayakrishna K , Cheng, Kit , Marcom, Paul Kelly , Albain, Kathy , Tung, Nadine , Nanda, Rita , Jankowitz, Rachel C , Rimawi, Mothaffar , Abramson, Vandana G , Van Poznak, Catherine , Forero-Torres, Andres , Liu, Minetta , Ruddy, Kathryn J , Burstein, Harold J , Partridge, Ann H , Krause, Emma , Kurt, Busem Binboğa , Mittendorf, EA , Schneider, Bryan , Prat, Aleix , Winer, Eric , Krop, Ian E , Tolaney, Sara , Prat, Aleix , Curigliano, Giuseppe , Pohlmann, Paula , Yardley, Denise Aysel , Wolff, Antonio C. , Rugo, Hope S. , Tung, Nadine , Abramson, Vandana G. , Waks, Adrienne G. , Partridge, Ann H. , Winer, Eric P. , Barroso‐Sousa, Romualdo , DiLullo, Molly K. , Zheng, Yue

Journal of Clinical Oncology | June 27, 2024 | Volume: 42 | Issue: 31 | Pages: 3652-3665

10.1200/jco.23.02170 | PMID 38935923 Get It

PURPOSE Long-term outcomes of patients with stage I human epidermal growth factor receptor 2 (HER2)–positive breast cancer receiving adjuvant trastuzumab emtansine (T-DM1) remain undefined, and prognostic predictors represent an unmet need. METHODS In the ATEMPT phase II trial, patients with stage I centrally confirmed HER2-positive breast cancer were randomly assigned 3:1 to adjuvant T-DM1 for 1 year or paclitaxel plus trastuzumab (TH). Coprimary objectives were to compare the incidence of clinically relevant toxicities between arms and to evaluate invasive disease-free survival (iDFS) with T-DM1. Correlative analyses included the HER2DX genomic tool, multiomic evaluations of HER2 heterogeneity, and predictors of thrombocytopenia. RESULTS After a median follow-up of 5.8 years, 11 iDFS events were observed in the T-DM1 arm, consistent with a 5-year iDFS of 97.0% (95% CI, 95.2 to 98.7). At 5 years, the recurrence-free interval (RFI) was 98.3% (95% CI, 97.0 to 99.7), the overall survival was 97.8% (95% CI, 96.3 to 99.3), and the breast cancer-specific survival was 99.4% (95% CI, 98.6 to 100). Comparable iDFS was observed with T-DM1 irrespective of tumor size, hormone receptor status, centrally determined HER2 immunohistochemical score, and receipt of T-DM1 for more or less than 6 months. Although ATEMPT was not powered for this end point, the 5-year iDFS in the TH arm was 91.1%. Among patients with sufficient tissue for HER2DX testing (n = 187), 5-year outcomes significantly differed according to HER2DX risk score, with better RFI (98.1% v 81.8%, hazard ratio [HR], 0.10, P = .01) and iDFS (96.3% v 81.8%, HR, 0.20, P = .047) among patients with HER2DX low-risk versus high-risk tumors, respectively. CONCLUSION Adjuvant T-DM1 for 1 year leads to outstanding long-term outcomes for patients with stage I HER2-positive breast cancer. A high HER2DX risk score predicted a higher risk of recurrence in ATEMPT.
Datopotamab deruxtecan (Dato-DXd) plus pembrolizumab (pembro) with or without platinum chemotherapy (Pt-CT) as first-line (1L) therapy for advanced non-small cell lung cancer (aNSCLC): Subgroup analysis from TROPION-Lung02.
Levy, Benjamin , Paz‐Ares, Luis , Herbert, Scott M., Yang, Tsung‐Ying , Lou, Yanyan , Zenke, Yoshitaka , Dómine, Manuel , Leventakos, Konstantinos , Horiike, Atsushi , Lin, Daisy, Jia, Xiaoyu , Basak, Priyanka , Goto, Yasushi , Su, Wu‐Chou , Tolcher, Anthony W. , Cortinovis, Diego Luigi , Felip, Enriqueta , Calvo, Emiliano , Pan, Edward , Basak, Priyanka, Chisamore, Michael Jon

Journal of Clinical Oncology | June 26, 2024 | Volume: 42 | Issue: 16_suppl | Pages: 8617-8617

10.1200/jco.2024.42.16_suppl.8617 Get It

8617 Background: Dato-DXd is an antibody-drug conjugate (ADC) composed of an anti-TROP2 monoclonal antibody linked to a potent topoisomerase I inhibitor payload. We report updated findings from TROPION-Lung02 (NCT04526691) evaluating Dato-DXd plus pembro with or without Pt-CT as 1L therapy for aNSCLC. Methods: Patients (Pts) received Dato-DXd (4 or 6 mg/kg) plus pembro 200 mg alone (doublet) or with Pt-CT (triplet; cisplatin 75 mg/m2 or carboplatin AUC 5) Q3W across 6 cohorts. Pts in the expansion stage were primarily treatment (tx)-naïve. PD-L1 expression was evaluated by tumor proportion score (TPS < 50% or ≥50%) using immunohistochemistry (22C3 assay). The primary objectives were safety and tolerability, with efficacy a secondary objective. Results: 96 pts were treated with doublet (n = 42) or triplet (n = 54) therapy in the 1L setting. At data cutoff (Oct 31, 2023), 45% and 20% of pts receiving doublet or triplet tx were ongoing. Median age was 66 years in both subgroups. Median treatment durations were 6.6 and 5.8 months. Across doublet and triplet tx, the most common any-grade (Gr) treatment-emergent adverse events (TEAEs) were stomatitis (57%, 33%) and nausea (40%, 46%), mainly Gr 1–2. Gr ≥3 TEAEs were seen in 57% and 76% of pts; serious TEAEs in 38% and 44%. TEAEs associated with Dato-DXd discontinuation occurred in 29% and 39% of pts receiving doublet or triplet tx. TEAEs associated with death were seen in 2% and 9%, none considered related to study drug. Efficacy outcomes, including ORR and preliminary PFS, in the 1L setting overall and by PD-L1 status are summarized in the Table. Conclusions: As 1L therapy for aNSCLC, Dato-DXd plus pembro with or without Pt-CT continues to demonstrate durable antitumor activity. Efficacy was observed regardless of PD-L1 expression. Tolerability of the combinations was as expected based on known profiles of the individual agents, with no new safety signals observed. To date, this is the largest dataset reported for any ADC combined with an anti-PD-1/L1 agent in the 1L setting for aNSCLC. Clinical trial information: NCT04526691 . [Table: see text]
Somatic epimutations cap genetic determinism in the human diploid chromatin epigenome
Vollger, Mitchell R. , Swanson, Elliott , Neph, Shane , Dubocanin, Danilo, Ho, Ching‐Huang , Cheng, Y. H. Hank, Ranchalis, Jane , Munson, Katherine M. , Sedeño-Cortés, Adriana E. , Mudeppa, Devaraja G., Fondrie, William E. , Bohaczuk, Stephanie C. , Dippel, Maxwell A., Mao, Yizi , Parmalee, Nancy L. , Garcia, Gage H. , Meyer, Jeffrey G., Cicek, Mine S., Witten, Daniela , Ray, John , Swanson, Elliott G , Neph, Shane J , Ranchalis, Jane , Munson, Katherine M , Ho, Ching-Huang , Sedeño-Cortés, Adriana E , Fondrie, William E , Bohaczuk, Stephanie C , Mao, Yizi , Mallory, Benjamin J , Harvey, William T , Kwon, Younjun , Garcia, Gage H , Hoekzema, Kendra , Cicek, Mine , Eichler, Evan E , Noble, William S , Bennett, James T , Ray, John P , Stergachis, Andrew B , Dubocanin, Danilo, Cheng, Y. H. Hank, Mudeppa, Devaraja G., Dippel, Maxwell A.

No container title available | June 16, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1101/2024.06.14.599122 | PMID 40501892 Get It

Diploid human cells contain two non-identical genomes, and differences in their regulation underlie human development and disease. We present Fiber-seq Inferred Regulatory Elements (FIRE) and show that FIRE provides a more comprehensive and quantitative snapshot of the accessible chromatin landscape across the 6 Gbp diploid human genome, overcoming previously unrecognized biases in existing regulatory element catalogs. FIRE enables comprehensive detection of haplotype-selective chromatin accessibility (HSCA), exposing novel imprinted elements lacking underlying parent-of-origin CpG methylation differences, and gene regulatory modules that permit genes to escape X chromosome inactivation. We uncover that the human leukocyte antigen (HLA) locus harbors the most HSCA in immune cells, where we resolve specific transcription factor (TF) binding events disrupted by disease-associated variants. Finally, we demonstrate that the regulatory landscape of a cell is littered with autosomal somatic chromatin epimutations that are propagated by clonal expansions to create mitotically stable and non-genetically deterministic chromatin alterations.
Functional Outcomes After Transanal Total Mesorectal Excision (taTME) for Rectal Cancer
Donovan, Katherine , Lee, Katherine C. , Ricardo, Alison, Berger, Natalie , Bonaccorso, Antoinette, Alavi, Karim, Zaghiyan, Karen , Pigazzi, Alessio , Sands, Dana R., deBeche-Adams, Teresa , Chadi, Sami A. , McLemore, Elisabeth C. , Marks, John H. , Maykel, Justin A. , Shawki, Sherief , Albert, Matthew R. , Whiteford, Mark H., Cheng, Fu-Yuan , Wexner, Steven D. , Sylla, Patricia , Wexner, Steven D , Steele, Scott R.

Annals of Surgery | June 13, 2024 | Volume: 280 | Issue: 3 | Pages: 363-373

10.1097/sla.0000000000006374 | PMID 38869440 Get It

Objective: To investigate fecal incontinence and defecatory, urinary, and sexual functional outcomes after transanal total mesorectal excision (taTME). Background: Proctectomy for rectal cancer may result in alterations in defecatory, urinary, and sexual function that persist beyond 12 months. The recent multicenter phase II taTME trial demonstrated the safety of taTME in patients with stage I to III tumors. Methods: Prospectively registered self-reported questionnaires were collected from 100 taTME patients. Fecal continence [Fecal Incontinence Quality of Life (FIQL), Wexner], defecatory function [Colorectal Functional Outcome (COREFO)], urinary function (International Prostate Symptom Score), and sexual function (Female Sexual Function Index-female, International Index of Erectile Function-male) were assessed preoperatively (PQ), 3 to 4 months postileostomy closure (FQ1), and 12 to 18 months post-taTME [postoperative questionnaire 2 (FQ2)]. Results: Among 83 patients who responded at all 3 time points, FIQL, Wexner, and COREFO significantly worsened postileostomy closure. Between FQ1 and FQ2, FIQL lifestyle and coping, Wexner, and COREFO incontinence, social impact, frequency, and need for medication significantly improved, while FIQL depression and embarrassment did not change. International Prostate Symptom Score did not change relative to preoperative scores. For females, Female Sexual Function Index declined for desire, orgasm, and satisfaction between PQ and FQ1, and did not improve between FQ1 and FQ2. In males, International Index of Erectile Function declined with no change between FQ1 and FQ2. Conclusions: Although taTME resulted in initial decline in defecatory function and fecal continence, most functional domains improved by 12 months after ileostomy closure, without returning to preoperative status. Urinary function was preserved while sexual function declined without improvement by 18 months post-taTME. Our results address patient expectations and inform shared decision-making regarding taTME.
Single‐extracellular vesicle (EV) analyses validate the use of L1 Cell Adhesion Molecule (L1CAM) as a reliable biomarker of neuron‐derived EVs
Nogueras‐Ortiz, Carlos , Eren, Erden , Yao, Pamela J. , Calzada, Elizabeth , Dunn, Christopher J. , Volpert, Olga V. , Delgado‐Peraza, Francheska , Lyashkov, Alexey E., Vreones, Michael , Cheng, Lesley , You, Yang , Eitan, Erez , Goetzl, Edward J. , Kapogiannis, Dimitrios , Nogueras-Ortiz, Carlos J , Volpert, Olga , Vreones, Michael , Hill, Andrew F , Ikezu, Tsuneya , Yang, You , Dunn, Christopher, Mustapić, Maja , Rubio, Francisco Javier , Hill, Andrew F. , Ikezu, Tsuneya

Journal of Extracellular Vesicles | June 13, 2024 | Volume: 13 | Issue: 6 | Pages: No page available

10.1002/jev2.12459 | PMID 38868956 Get It

Abstract Isolation of neuron‐derived extracellular vesicles (NDEVs) with L1 Cell Adhesion Molecule (L1CAM)‐specific antibodies has been widely used to identify blood biomarkers of CNS disorders. However, full methodological validation requires demonstration of L1CAM in individual NDEVs and lower levels or absence of L1CAM in individual EVs from other cells. Here, we used multiple single‐EV techniques to establish the neuronal origin and determine the abundance of L1CAM‐positive EVs in human blood. L1CAM epitopes of the ectodomain are shown to be co‐expressed on single‐EVs with the neuronal proteins β‐III‐tubulin, GAP43, and VAMP2, the levels of which increase in parallel with the enrichment of L1CAM‐positive EVs. Levels of L1CAM‐positive EVs carrying the neuronal proteins VAMP2 and β‐III‐tubulin range from 30% to 63%, in contrast to 0.8%–3.9% of L1CAM‐negative EVs. Plasma fluid‐phase L1CAM does not bind to single‐EVs. Our findings support the use of L1CAM as a target for isolating plasma NDEVs and leveraging their cargo to identify biomarkers reflecting neuronal function.