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596 citation(s) found for "Ma, Liang".

Single-Cell RNA Transcriptomics and Multi-omics Analyses Reveal the Clinical Effects of Acupuncture on Methadone Reduction
Fan, Baochao, Zeng, Jingchun , Zou, Yutian , Tao, Chen-Yang , Liang, Jian , Lu, Liming , Lu, Liming , Chen, Yi‐Ming , Tao, Chenyang, Chen, Chen , Zhang, Peiming , Qi, Fangfang , Tang, Hailin

Research | May 27, 2025 | Volume: 8 | Issue: No issue available | Pages: No page available

10.34133/research.0741 | PMID 40556944 Get It

Opioid use disorders (OUDs) pose a substantial global health burden, with methadone maintenance treatment (MMT) widely adopted as an intervention; however, MMT is associated with immunosuppression, metabolic disturbances, and dysbiosis of the gut microbiota. Despite the potential of acupuncture in reducing methadone dosages and opioid addiction, the underlying biological mechanisms remain unclear. Therefore, we aimed to integrate clinical trial data with multi-omics analysis, including single-cell sequencing, transcriptomics, metabolomics, and metagenomics, to evaluate the effects of acupuncture in patients undergoing MMT. We collected peripheral blood mononuclear cells, plasma, and fecal samples from 48 MMT participants in a randomized, placebo-controlled trial. Participants were divided into acupuncture ( n = 25) and sham-acupuncture ( n = 23) groups. After 8 weeks of intervention, 84% of patients in the acupuncture group achieved ≥20% reduction in methadone dosage, compared to 39% in the sham-acupuncture group ( P < 0.01). Our findings revealed that acupuncture may activate the defense response to viruses, with altered immune cell functions in classical monocytes correlating with clinical responses to reduced methadone doses. Acupuncture might ameliorate intestinal microbial disruptions caused by OUD by up-regulating Bilophila and modulating bile acid metabolism. Furthermore, acupuncture up-regulated galectin-9 (LGALS9)-mediated intercellular communication between classical monocytes and other immune subsets. To further validate the mechanistic link between bile acid metabolism and immune regulation, we conducted in vitro experiments using THP-1 monocytes treated with cholic acid. The results showed that bile acid exposure suppressed galectin-9 and IFN-γ expression, while low-dose bile acid (simulating acupuncture effects) partially reversed this effect. These findings support a bile acid–galectin–interferon axis that may be modulated by acupuncture in OUD. Collectively, our results provide clinical and mechanistic evidence supporting acupuncture as a potential adjunct therapy to mitigate the adverse effects of long-term opioid use.
Streamlining Thoracic Radiotherapy Quality assurance: One-Class Classification for Automated OAR Contour Assessment
Zhao, Yihao , Yuan, Cuiyun, Liang, Ying , Li, Yang , Li, Chunxia , Zhao, Man, Hu, Jun , Zhong, Ningze , Liu, Wei , Liu, Chenbin , Liu, Wei

Technology in Cancer Research & Treatment | May 22, 2025 | Volume: 24 | Issue: No issue available | Pages: No page available

10.1177/15330338251345895 | PMID 40400421 Get It

Purpose Automating quality assurance (QA) for contours generated by automatic algorithms is critical in radiotherapy treatment planning. Manual QA is tedious, time-consuming, and prone to subjective experiences. Automatic segmentation reduces physician workload and improves consistency. However, an effective QA process for these automatic contours remains an unmet need in clinical practice. Materials and Methods The patient data used in this study was derived from the AAPM Thoracic Auto-Segmentation Challenge dataset, including left and right lungs, heart, esophagus, and spinal cord. Two groups of organ-at-risk (OAR) were generated. A ResNet-152 network was used as a feature extractor, and a one-class support vector machine (OC-SVM) was employed to classify contours as ‘high’ or ‘low’ quality. To evaluate the generalizability, we generated low-quality contours using translation and resizing techniques and assessed correlations between detection limits and metrics such as volume, Dice similarity coefficient (DSC), 95% Hausdorff distance (HD95), and mean surface distance (MSD). Results The proposed OC-SVM model outperformed binary classifiers n metrics such as balanced accuracy and area under the receiver operating characteristic curve (AUC) . It demonstrated superior performance in detecting various types of contour errors while maintaining high interpretability. Strong correlations were observed between detection limits and contour metrics. Conclusion Our proposed model integrates an attention mechanism with a one-class classification framework to automate QA for OAR delineations. This approach effectively detects diverse types of contour errors with high accuracy, significantly reducing the burden on physicians during radiotherapy planning.
Individual response to lifestyle interventions: a pooled analysis of three long-term weight loss trials
Meir, Anat Yaskolka , Tsaban, Gal , Rinott, Ehud , Schwarzfuchs, Dan , Gepner, Yftach , Shelef, Ilan , Blüher, Matthias , Ceglarek, Uta , Klöting, Nora , Keller, Maria , Qi, Lu , Liang, Liming , Stampfer, Meir J. , Yaskolka Meir, Anat , Shelef, Ilan , Ceglarek, Uta , Isermann, Berend , Kovacs, Peter , Qi, Lu , Shai, Iris , Zelicha, Hila , Rudich, Assaf , Stümvoll, Michael , Kovács, Péter , Wang, Dong D. , Hu, Frank B. , Shai, Iris

European Journal of Preventive Cardiology | May 21, 2025 | Volume: 32 | Issue: 16 | Pages: 1660-1670

10.1093/eurjpc/zwaf308 | PMID 40472282 Get It

Abstract Aims We explored the manifestations of individual weight loss (WL) response to long-term lifestyle interventions on cardiometabolic risk. Methods and results We pooled data from three large long-term lifestyle WL-intervention trials: 24-month DIRECT (ClinicalTrials.gov: NCT00160108; n = 322; 87% adherence), 18-month CENTRAL (ClinicalTrials.gov: NCT01530724; n = 278; 86% adherence), and 18-month DIRECT PLUS (ClinicalTrials.gov: NCT03020186; n = 294; 89% adherence). We analyzed longitudinal changes in cardiometabolic risk markers, including anthropometrics, blood biomarkers, and magnetic-resonance-imaging-assessed fat depots, and measured DNA-methylation, proteomics, and metabolomics. Among trial completers (n = 761, mean age = 50.4 years; 89% men, baseline body-mass-index = 30.1 kg/m2), mean WL was −3.3 kg (−3.5%). We classified participants as Successful-WL (36%) with relative-WL &gt; 5%, WL-Resistant (28%) who did not lose or gained weight, and Moderate-WL (36%) with WL between 0% and 5%. Successful-WL achieved the greatest improvements in multiple health indicators. However, the WL-Resistant also showed some significant improvements, with increased high-density-lipoprotein-cholesterol (HDLc) and decreased leptin and visceral fat (P &lt; 0.05 vs. baseline). Overall, each 1 kg sustained lifestyle-induced WL was associated with improvements in lipid markers and insulin resistance [HDLc (+1.44%), triglycerides (−1.37%), insulin (−2.46%), HOMA-IR (−2.71%), leptin (−2.79%)] and intrahepatic-fat regression (−0.49 absolute-units)] and modest but significant change in systolic and diastolic blood pressures (−0.26% and −0.36%). We identified 12 significant methylation sites that are associated with Successful-WL (FDR &lt; 0.05; AUC = 0.73). Conclusion While only ∼one-third of individuals achieved long-term WL, the Moderate-WL and WL-Resistant individuals could benefit improvements in visceral adiposity and cardiometabolic risk by shifting towards a healthy lifestyle pattern, beyond WL. Site-specific DNA methylation may predict an individual's likelihood of successful WL. Registration NCT00160108, NCT01530724, NCT03020186.
Core GRADE 4: rating certainty of evidence—risk of bias, publication bias, and reasons for rating up certainty
Guyatt, Gordon , Eachempati, Prashanti, Hultcrantz, Monica , Chu, Derek K. , Flórez, Iván D. , Agoritsas, Thomas , Yao, Liang , Vandvik, Per Olav , Brignardello‐Petersen, Romina , Guyatt, Gordon , Chu, Derek K , Wang, Ying , Eachempati, Prashanti , Iorio, Alfonso , Murad, M. Hassan , Hemkens, Lars G. , Montori, Víctor M.

BMJ | May 13, 2025 | Volume: 389 | Issue: No issue available | Pages: e083864

10.1136/bmj-2024-083864 | PMID 40360206 Get It

2024 American College of Rheumatology (ACR) Guideline for the Screening, Treatment, and Management of Lupus Nephritis
Sammaritano, Lisa R. , Askanase, Anca , Bermas, Bonnie L. , Dall’Era, Maria , Duarte‐García, Alí , Hiraki, Linda T. , Rovin, Brad H. , Alvarado, Anthony, Aranow, Cynthia , Broder, Anna , Chowdhary, Vaidehi , Contreras, Gabriel, Felix, Christele, Gibson, Keisha L. , Hersh, Aimee O. , Kalunian, Kenneth , Rollins, Brandi , Smith, Benjamin J. , Thomas, Asha , Timlin, Homa , Ward, Michael D. , Cunha, Joanne S., DeQuattro, Kimberly , Figueroa‐Parra, Gabriel , Greco, Jessica , Cuéllar‐Gutiérrez, María C. , Iyer, Priyanka , Johannemann, Andrew, Jorge, April , Kasturi, S.Psi. Taufik , Khawandi, Jana , Legge, Alexandra , Liang, Kelly V. , Lockwood, Megan M. , Sánchez-Rodríguez, Alain , Turgunbaev, Marat, Williams, Jessica N. , Turner, Amy S. , Aranow, Cynthia , Barnado, April , Brunner, Hermine I , Ferucci, Elizabeth D , Hersh, Aimee O , Smith, Benjamin J , Wallace, Daniel J , Bartels, Christie M , DeQuattro, Kimberly , Figueroa-Parra, Gabriel , Garg, Shivani , Cuéllar-Gutiérrez, María C, Jorge, April , Kasturi, Shanthini , Kawtharany, Hassan , Kirou, Kyriakos A , Lockwood, Megan M , Sanchez-Rodriguez, Alain , Williams, Jessica N , Turner, Amy S , Duarte-García, Alí , Rovin, Brad H , Askanase, Anca , Bermas, Bonnie , Son, Mary Beth F. , Barnado, April , Contreras, Gabriel, Ferucci, Elizabeth D. , Izmirly, Peter , Kamen, Diane L. , Rollins, Brandi, Thomas, Asha, Azzam, Muayad , Bartels, Christie M. , Fava, Andrea , Garg, Shivani , Kawtharany, Hassan , Kirou, Kyriakos A. , Mustafa, Reem A

Arthritis & Rheumatology | May 7, 2025 | Volume: 77 | Issue: 9 | Pages: 1115-1135

10.1002/art.43212 | PMID 40331662 Get It

ObjectiveThe objective is to provide evidence‐based and expert guidance for the screening, treatment, and management of lupus nephritis.MethodsThe Core Team developed clinical questions for screening, treatment, and management of lupus nephritis using the PICO format (population, intervention, comparator, and outcome). Systematic literature reviews were completed for each PICO question, and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess the quality of evidence and to formulate recommendations. The Voting Panel achieved a consensus ≥70% on the direction (for or against) and strength (strong or conditional) of each recommendation.ResultsWe present 28 graded recommendations (7 strong, 21 conditional) and 13 ungraded, consensus‐based good practice statements for the screening and management of lupus nephritis. Our recommendations focus on the unifying principle that lupus nephritis therapy is continuous and ongoing, rather than consisting of discrete induction/initial and maintenance/subsequent therapies. Therapy should include pulse glucocorticoids followed by oral glucocorticoid taper and two additional immunosuppressive agents for 3–5 years for those achieving complete renal response.ConclusionThis guideline provides direction for clinicians regarding screening and treatment decisions for management of lupus nephritis. These recommendations should not be used to limit or deny access to therapies, as treatment decisions may vary due to the unique clinical situation and personal preferences of each individual patient.
Mechanistic classification of isolated severe aortic regurgitation in a contemporary cohort of patients
Unni, Rudy R , Boodhwani, Munir , Jelaidan, Ibrahim , Harnett, David T. , Massalha, Samia , Liang, CF, Prosperi-Porta, Graeme, Glineur, David , Burwash, Ian G. , Chan, Kwan‐Leung , Coutinho, Thais , Fu, Angel , Willner, Nadav , Beauchesne, Luc , Messika-Zeitoun, David , Prosperi‐Porta, Graeme , Messika–Zeitoun, David

European Heart Journal Open | May 2, 2025 | Volume: 5 | Issue: 3 | Pages: No page available

10.1093/ehjopen/oeaf042 | PMID 40370504 Get It

Abstract Aims Aortic regurgitation (AR) arises from leaflet disease and/or dilatation of the functional aortic annulus complex. Understanding the mechanisms of AR informs surgical planning of valve and aorta repair. This study investigates the mechanisms, aetiologies, and outcomes of isolated native severe AR in a consecutive cohort of patients. Methods and results Patients with moderate-to-severe (3+)/severe (4+) native valve AR, identified from our institutional echocardiography database (2014–2018), were included. Exclusions were significant concomitant valve disease, endocarditis, or aortic dissection. AR was classified per the El-Khoury system: Type I (normal leaflet motion: Ia–ascending aorta/sinotubular junction dilatation, Ib–aortic root dilation, Ic–aortic annular dilation), Type II (leaflet prolapse), and Type III (leaflet restriction). Valve anatomy and clinical outcomes, including mortality and surgical intervention, were analyzed. Of 282 patients (77.3% male), 58.5% had multiple AR mechanisms. Type II (leaflet prolapse) was most common (48.6%), followed by Type III (36.2%). Bicuspid aortic valve (BAV) represented 35.5% of the population, with leaflet prolapse observed in 72%. Multiple mechanisms were more frequent in BAV (77% vs. 48%, P &lt; 0.001). After a median follow-up of 4.7 years (available for 97.5% of patients), 158 (57.5%) underwent an intervention with 48.7% having an aortic valve repair or valve-sparing aortic root replacement. Conclusion Although leaflet prolapse (Type II) was the pre-dominant AR mechanism, multiple contributing mechanisms were often present, particularly in BAV patients. Aortic valve repair accounted for nearly half of surgical interventions, underscoring the importance of mechanism identification to optimize repair and avoid valve replacement.
Acalabrutinib Plus Bendamustine-Rituximab in Untreated Mantle Cell Lymphoma
Wang, Michael , Song, Yuqin, Jurczak, Wojciech, Kahl, Brad S. , Chu, Michael P., Kryachok, Iryna, Fogliatto, Laura, Cheah, Chan Y. , Morawska, Marta , Li, Yufu, Patti, Caterina , Forsyth, Cecily , Lesley, Robin, Ramadan, Safaa, Rule, Simon, Dreyling, Martin , investigators, for the ECHO, Cazap, Nicolás, Foncuberta, María Cecilia, Garate, Gonzalo, Gustavo, Jarchum, Pavlovsky, Miguel Arturo , Riveros, Dardo, Baker, Ross, Butler, Jason, Cannell, Paul , Cheah, Chan, Forsyth, Cecily, Giri, Pratyush, Johnston, Amanda, Lee, Denise , Lee, Hui‐Peng, Mapp, Sally, Roncolato, Fernando , Thant, Aung , Walker, Patricia, Doo, Nicole Wong, Demuynck, Hilde, Offner, Fritz , Hende, Vanessa Van, Vergote, Vibeke, Wu, Ka Lung , Chiattone, Carlos, Azevedo, Sergio de, Fogliatto, Laura, Fonseca, Ana, Hamerschlak, Nelson, Lazaretti, Nicolas, Rocha, Vanderson, Salvino, Marco, Santucci, Rodrigo, Schaan, Mariza, Scheliga, Adriana, Vieira, Garles Miller, Berinstein, Neil, Boutin, Mélina , Chu, Michael, Keating, Mary‐Margaret, Schattner, Ariah, Restrepo, Diego Villa, Cen, Xinan, Du, Xin, Feng, Ru, Gao, Sujun, Huang, Haiwen, Ji, Jie, Jin, Jie, Ke, Xiaoyan, Li, Dengju, Li, Fei, Li, Jianyong, Li, Junmin, Li, Yan, Li, Yufu, Li, Zhenyu, Lin, Li'e, Liu, Tingbo, Lv, Fangfang , Shuang, Yuerong, Sun, Lan, Sun, Xiuhua, Wang, Zhao, Wu, Huijing, Xi, Yaming, Xia, Ruixiang, Xue, Hongwei, Yang, Haiyan, Yi, Shuhua, Zhang, Cheng, Zhang, Huilai, Zhang, Mingzhi, Zhang, Qingyuan, Zhao, Xielan, Zhou, Hui, Hajek, Roman, Jindra, Pavel , Mayer, Jiri, Novak, Jan, Abraham, Julie, Bijou, Fontanet, Bouabdallah, Kamal , Cymbalista, Florence, Guilbert, Sophie, Laribi, Kamel, Rodon, Philippe, Decker, Thomas, Dreger, Peter, Dreyling, Martin, Hess, Georg, Lenz, Georg, Stilgenbauer, Stephan, Tummes, Dirk, Anargyrou, Konstantinos , Dimopoulos, Meletios-Athanassios, Kapsali, Eleni, Kyriakou, Despoina, Panayiotidis, Panayiotis, Pappa, Vasiliki , Stavroyianni, Niki, Cheng, Hoi Ching, Kwong, Yok-Lam, Lee, Harold, Ng, Ting Ying, Wong, Raymond, Borbényi, Zita , Illés, Árpád, Lázár, Zsolt, Nagy, Ágnes , Nagy, Zsolt, Schneider, Tamas, Avivi, Irit, Gurion, Ronit, Horowitz, Netanel, Ronson, Aaron, Arcaini, Luca, Boccomini, Carola, Ghia, Paolo, Luminari, Stefano, Plenteda, Caterina, Santoro, Armando, Zilioli, Vittorio Ruggero, Zinzani, Pier Luigi, Choi, Ilseung , Ennishi, Daisuke , Ichikawa, Satoshi, Ishikawa, Takayuki, Izutsu, Koji, Kato, Koji, Maruyama, Dai, Nagai, Hirokazu, Ota, Shuichi, Saito, Toko, Sakai, Rika, Suzuki, Ritsuro, Uoshima, Nobuhiko , Yano, Takahiro, Yoshida, Isao, Eom, Ki-Seong, Kim, Jin Seok, Kim, Seok Jin, Lee, Jung-Hee, Mun, Yeung Chul, Yoon, Sung Soo , Arreguin, Elsa Veronica Avila, Andrade, Adriana Dominguez, Almaguer, David Gómez, Vera, Maria Silvia Rivas, Anaya, Luis Solís, Berkahn, Leanne, Pemberton, Lucy, Simpson, David, Beltrán, Brady, Quintana, Shirely, Revilla, Jose Carlos, Vargas, Ernesto, Grosicki, Sebastian , Hałka, Janusz , Jedrzejczak, Wieslaw, Knopińska-Posłuszny, Wanda, Krzanowski, Jacek, Lech-Maranda, Ewa, Robak, Tadeusz, Rzepecki, Piotr , Wróbel, Tomasz, Borsaru, Gabriela, Ciuleanu, Tudor Eliade, Danaı̈la, Catalin, Lazaroiu, Mihaela, Alexeeva, Julia, Chistyakov, Valeriy, Manikhas, Georgy, Mikhailova, Natalia, Proydakov, Andrey, Volodicheva, Elena , Voloshin, Sergey, Bastos, Mariana, Cordoba, Raul, Codina, José , Gonzalez, Eva Maria, Marin, Ana, Panizo, Carlos, Rodriguez, Guillermo, Salar, Antonio, Sancho, Juan-Manuel, Velo, Jose A, Chiu, Chang-Fang, Hsiao, Liang-Tsai, Kuo, Ching-Yuan, Lin, Tung-Liang, Lysa, Tamila, Maslyak, Zvenyslava, Nogaieva, Larysa, Polenkov, Sergey, Usenko, Ganna, Agajanian, Richie, Anz, Bertrand, Chaudhry, Arvind, Chiu, Alden , Cultrera, Jennifer, D’Olimpio, James, Dunleavy, Kieron, Fanning, Suzanne, Flinn, Ian, Gabrail, Nashat, Gallinson, David, Goldenberg, Alec, Graf, Solomon, Grover, N., Hess, Brian, Hoffman, Marc, Isufi, Iris, Kahl, Brad, Kambhampati, Suman , Kirkel, Dean, Diaz, Guillermo Lazo, Levy, Moshe, Liu, Delong, Mead, Monica , Paludo, Jonas, Patel, Anjan, Peles, Shachar, Persky, Daniel, Portell, Craig, Rosenthal, Allison, Sano, Dahlia , Smith, Sonali , Smith, Stephen, Spurgeon, Stephen, Tache, Jason, Tsai, Michaela, Veltri, Lauren, Wang, Michael, Yimer, Habte, Bach, Quoc Khanh, Đỗ, Huyền Nga, Luu, Hung Vu, Khoa, Trọng, Phạm, Như Hiệp, Panizo, Carlos , Kriachok, Iryna , Kahl, Brad S , Paludo, Jonas , Cheah, Chan Yoon , Morawska, Marta , Sancho, Juan-Manuel , Forsyth, Cecily , Dreyling, Martin , Belada, David , Song, Yuqin , Paludo, Jonas , Fogliatto, Laura , Zhang, Jingyang , Lesley, Robin, Ramadan, Safaa Mahmoud , Garate, Gonzalo, Riveros, Dardo Alberto, Cannell, Paul , Cochrane, Tara , Giri, Pratyush, Mapp, Sally , Doo, Nicole Wong , Demuynck, H, Hende, Vanessa Van, Vergote, Vibeke K. J. , CHIATTONE, CARLOS SÉRGIO , Farias, João Samuel de Holanda , Fonseca, Ana Rita Da , Rocha, Vanderson , Oliveira, José Salvador Rodrigues de , Scheinberg, Phillip , Scheliga, Adriana , Vieira, Garles Miller Matias , Berinstein, Neil Lorne , Shuang, Yuerong , Hájek, Roman , Mayer, Jiřı́ , Bijou, Fontanet , Cymbalista, Florence, Delwail, Vincent , Genet, Philippe , Dreger, Peter , Heß, Georg , Lenz, Georg , Stilgenbauer, Stephan , Kapsali, Eleni , Katodritou, Eirini , Kyriakou, Despoina S, Panayiotidis, Panayiotis G. , Symeonidis, Argiris , Schneider, Tamas J., Avivi, Irit, Gurion, Ronit , Horowitz, Netanel A. , Arcaini, Luca , Boccomini, Carola , Luminari, Stefano , Santoro, Armando, Zilioli, Vittorio Ruggero , Zinzani, Pier Luigi , Fukushima, Kentaro , Izutsu, Koji , Maruyama, Dai , Tatetsu, Hiro , Kim, Sang‐A , Oh, Sung Yong , Arreguin, Elsa Ávila, Gómez‐Almaguer, David , Issa, Samar , Revilla, Jose C., Vargas, Ernesto, Lech-Maranda, Ewa, Robak, Tadeusz , Borsaru, Gabriela, Ciuleanu, Tudor–Eliade , Danaila, Catalin-Doru , Alexeeva, Julia, Briones, Javier , Salar, Antonio , Yuste, Victor Jimenez, Chen, Chien‐Yuan , Kuo, Ching‐Yuan, Anz, Bertrand, Cultrera, Jennifer L. , D’Olimpio, James, Dunleavy, Kieron , Gabrail, Nashat , Gallinson, David, Goldenberg, Alec S., Goy, Andre Henri , Graf, Solomon A. , Hess, Brian, Kirkel, Dean, Portell, Craig A. , Rosenthal, Allison , Stevens, Don, Veltri, Lauren Westfall , Yimer, Habte, Tran, Thanh Tung

Journal of Clinical Oncology | May 1, 2025 | Volume: 43 | Issue: 20 | Pages: 2276-2284

10.1200/jco-25-00690 | PMID 40311141 Get It

PURPOSE The combination of the Bruton tyrosine kinase inhibitor ibrutinib with bendamustine-rituximab for first-line treatment of mantle cell lymphoma (MCL) prolonged progression-free survival (PFS), but without improvement in overall survival (OS), likely because of toxicity. Acalabrutinib was shown to be efficacious and less toxic than ibrutinib in a head-to-head trial in chronic lymphocytic leukemia and therefore might lead to better outcomes in MCL. METHODS Patients 65 years and older with previously untreated MCL received acalabrutinib (100 mg twice daily) or placebo (until disease progression or unacceptable toxicity), plus six cycles of bendamustine (90 mg/m 2 once daily; days 1 and 2) and rituximab (375 mg/m 2 as a single dose; day 1) followed by rituximab maintenance in responding patients for 2 years. Crossover to acalabrutinib at disease progression was permitted. The primary end point was PFS per the independent review committee; overall response rate and OS were secondary end points. RESULTS In total, 598 patients were randomly assigned, with 299 in each arm. At a median follow-up of 49.8 months using the reverse Kaplan-Meier method, the median PFS was 66.4 months in the acalabrutinib arm and 49.6 months in the placebo arm (hazard ratio [HR], 0.73 [95% CI, 0.57 to 0.94]; P = .0160). Benefit was seen across all subgroups, including those with high-risk features. Overall response/complete response rates were 91.0%/66.6% and 88.0%/53.5% in the acalabrutinib and placebo arms, respectively. OS was not significantly different (HR, 0.86 [95% CI, 0.65 to 1.13]; P = .27). Grade 3 or greater adverse events were reported in 88.9% and 88.2% in the acalabrutinib and placebo arms, respectively. CONCLUSION The combination of acalabrutinib with bendamustine-rituximab significantly improved PFS. Clinical benefit of acalabrutinib with bendamustine-rituximab was achieved with manageable toxicity.