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Jamil A, Qureshi Z, Siddique R, Altaf F, Akram H, Jamil R, Aslam S, Selene II. Efficacy and Safety of Chimeric Antigen Receptor (CAR)-T Cell Therapy in Patients with Non-Hodgkin Lymphoma: A Systematic Review and Meta-Analysis. Am J Clin Oncol 2025; 48:262-270. [PMID: 39924687 DOI: 10.1097/coc.0000000000001171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2025]
Abstract
OBJECTIVES Non-Hodgkin lymphomas (NHL) are a diverse group of lymphoproliferative malignancies, often more unpredictable than Hodgkin lymphomas, with a higher likelihood of extranodal spread. NHL's resistance to standard chemotherapy has increased, leading to a growing interest in personalized treatments like chimeric antigen receptor T-cell therapies (CAR-TCT). METHODS A literature search was conducted across PubMed, ScienceDirect, Google Scholar, and the Cochrane Library for studies on CAR-TCT in NHL treatment published until July 2024. The outcomes assessed included overall survival (OS), event-free survival (EFS), progression-free survival (PFS), objective response rate (ORR), and adverse events (AEs). Data were pooled using RevMan 5.41 and Comprehensive Meta-analysis 3. RESULTS Out of 532 articles, 8 met the inclusion criteria. CAR-TCT significantly improved OS (HR: 0.79; 95% CI: 0.63-1.00; P =0.05) and PFS (HR: 0.46; 95% CI: 0.36-0.58; P <0.00001) compared with standard chemotherapy. However, EFS was not significantly different (HR: 0.54; 95% CI: 0.26-1.09; P =0.09). About 76.6% of NHL patients responded to CAR-TCT, but the ORR was similar between CAR-TCT and standard therapy (MD: 19.23%; 95% CI: -11.34% to 49.80%; P =0.22). Safety analysis found a grade ≥3 AEs incidence comparable to CAR-TCT and standard care. However, CAR-TCT was associated with higher neutropenia risk but lower thrombocytopenia, anemia, and nausea risks. CONCLUSION CAR-TCT significantly improves OS and PFS in refractory NHL but does not notably impact EFS. While its ORR is comparable to standard chemotherapy, CAR-TCT has a better safety profile, making it a promising treatment option.
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Affiliation(s)
- Abdur Jamil
- Department of Medicine, Samaritan Medical Centre Watertown
| | - Zaheer Qureshi
- Assistant Professor of Medicine, The Frank H. Netter M.D. School of Medicine at Quinnipiac University, Bridgeport, CT
| | | | - Faryal Altaf
- Department of Internal Medicine, Icahn School of Medicine at Mount Sinai/BronxCare Health System, New York, NY
| | | | - Rohma Jamil
- FMH College of Medicine and Dentistry, Lahore, Pakistan
| | - Shehroz Aslam
- Department of Internal Medicine, Core Faculty, Samaritan Medical Center, Watertown
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Alderuccio JP, Alencar AJ, Schatz JH, Kuker RA, Pongas G, Reis IM, Lekakis LJ, Spiegel JY, Sandoval-Sus J, Beitinjaneh A, Stanchina MD, Trabolsi A, Lossos IS, Rosenblatt JD, Lessen DS, Moskowitz CH. Loncastuximab tesirine with rituximab in patients with relapsed or refractory follicular lymphoma: a single-centre, single-arm, phase 2 trial. Lancet Haematol 2025; 12:e23-e34. [PMID: 39662486 DOI: 10.1016/s2352-3026(24)00345-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Revised: 10/25/2024] [Accepted: 10/30/2024] [Indexed: 12/13/2024]
Abstract
BACKGROUND Preliminary data suggest promising activity of loncastuximab tesirine in follicular lymphoma, and synergistic activity between rituximab-induced cytotoxicity and loncastuximab tesirine. In this study, we evaluated loncastuximab tesirine combined with rituximab for second-line and later treatment of follicular lymphoma. METHODS We did a single-arm, investigator-initiated, phase 2 trial at Sylvester Comprehensive Cancer Center in Miami, FL, USA. We recruited patients aged 18 years or older with histologically confirmed relapsed or refractory follicular lymphoma (grade 1-3A) treated with one or more lines of therapy and presenting with progression or relapse of disease within 24 months (POD24) after the first line of treatment, one or more Groupe d'Etude des Lymphomes Folliculaires (GELF) criteria, or second relapse, and with an Eastern Cooperative Oncology Group performance status of 0-2. Intravenous loncastuximab tesirine was administered on day 1 of a 21-day cycle, at 0·15 mg/kg for two cycles, then 0·075 mg/kg thereafter. Intravenous rituximab was administered on day 1 of cycle 1, at 375 mg/m2 for four once-weekly doses, followed by one dose every 8 weeks on cycles 5, 6, and 7. At week 21, patients with a complete response discontinued loncastuximab tesirine and received two more doses of rituximab once every 8 weeks. Patients with a partial response at week 21 continued both agents for 18 more weeks. The primary endpoint was complete response rate at week 12 assessed by the Lugano 2014 classification in patients who had received at least three doses of loncastuximab tesirine. The safety analysis included all patients who received one or more doses of loncastuximab tesirine. The trial is registered with ClinicalTrials.gov, NCT04998669, and is ongoing (open to recruitment); the data cutoff for this analysis was Sept 13, 2024. FINDINGS Between Jan 28, 2022, and June 3, 2024, we enrolled 39 patients (median age 68 years [IQR 58-77]; 21 [54%] male patients and 18 [46%] female patients). All patients presented with one or more GELF criteria (n=36 [92%]) or POD24 after the first line of treatment (n=20 [51%]) at baseline. As of Sept 13, 2024, the median follow-up was 18·2 months (95% CI 12·0-19·3). Week 12 complete response rate was 67% (n=26 of 39). The most common grade 3 or worse treatment-emergent adverse events (TEAEs) were lymphopenia (eight [21%] of 39 patients) and neutropenia (five [13%] patients; one of whom had a serious grade 3 TEAE of febrile neutropenia that was considered to be related to study treatment). Generalised and peripheral oedema was predominantly grade 1-2 and all cases of oedema were treatable with diuretics. Serious TEAEs that were considered to be related to study drugs occurred in four (10%) of 39 patients. No fatal TEAEs occurred. INTERPRETATION Loncastuximab tesirine with rituximab showed clinically meaningful activity in relapsed or refractory follicular lymphoma, and had a manageable safety profile. FUNDING ADC Therapeutics and Sylvester Comprehensive Cancer Center.
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Affiliation(s)
- Juan Pablo Alderuccio
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Alvaro J Alencar
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jonathan H Schatz
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Russ A Kuker
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Georgios Pongas
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Isildinha M Reis
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Lazaros J Lekakis
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jay Y Spiegel
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jose Sandoval-Sus
- Moffitt Malignant Hematology & Cellular Therapy at Memorial Healthcare System, Pembroke Pines, FL, USA
| | - Amer Beitinjaneh
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Michele D Stanchina
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Asaad Trabolsi
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Izidore S Lossos
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Joseph D Rosenblatt
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - David S Lessen
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Craig H Moskowitz
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
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3
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Li Z, Jiang W, Zhou H, Cen H, Zhang M, Lv F, Zhang Q, Sun X, Liu L, Huang Y, Yang H, Gao S, He C, Yang W, Li W, Yu D, Yang Y, Cheng Y, Qian Z, Xiang Y, Guo Q, Xu B, Song Y, Zhang L, Lin L, Shen J, Yan F, Liu H, Zhang D, Wang J, Zhou M, Zhu X, Zhang W, Zhao W, Feng R, Zhang X, Jin J, Zhong M, Zhang M, Wang J, Jing H, Wang Z, Zhao H, Zhu J. Comparison of zuberitamab plus CHOP versus rituximab plus CHOP for the treatment of drug-naïve patients diagnosed with CD20-positive diffuse large B-cell lymphoma: a phase 3 trial. J Immunother Cancer 2024; 12:e008895. [PMID: 39455094 PMCID: PMC11529747 DOI: 10.1136/jitc-2024-008895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND In patients with untreated CD20-positive diffuse large B-cell lymphoma (DLBCL), a phase 3 trial was carried out to evaluate the efficacy and safety of zuberitamab plus CHOP (cyclophosphamide, doxorubicin, vincristine, and prednisone; Hi-CHOP) versus rituximab plus CHOP (R-CHOP) treatment regimens. METHODS In a 2:1 ratio, eligible patients were assigned randomly to receive treatment of six cycles of either 375 mg/m2 zuberitamab or rituximab together with conventional CHOP chemotherapy. The objective response rate (ORR) at C6D50 served as the primary endpoint, and a non-inferiority margin of 10% was established. The secondary endpoints included the complete response (CR) rate at C6D50, duration of response (DOR), progression-free survival (PFS) and event-free survival (EFS) judged by blinded-independent review committee (BIRC), overall survival (OS) and safety outcomes. RESULTS Of the 487 randomized patients, 423 patients including 287 in the Hi-CHOP and 136 in the R-CHOP groups completed the C6D50 assessment. For the full analysis set (FAS) and per-protocol set (PPS), BIRC-assessed ORR at C6D50 for the Hi-CHOP and R-CHOP groups were 83.5% versus 81.4% and 95.3% versus 93.7%, respectively. The non-inferiority was confirmed as the lower limit of the two-sided 95% CI for the intergroup differences of -5.2% and -3.3%; both were >-10% in the FAS and PPS. The BIRC-assessed CR rate of Hi-CHOP was significantly higher in PPS (85.7% vs 77.3%, p=0.038), but comparable in FAS (75.2% vs 67.9%, p=0.092). After a median follow-up of 29.6 months, patients in the Hi-CHOP group had a slight advantage with regard to the DOR (HR 0.74, p=0.173), PFS (HR 0.67, p=0.057), EFS (HR 0.90, p=0.517) and OS (HR 0.60, p=0.059). Patients with the germinal-center B cell-like subtype who received Hi-CHOP exhibited statistically significant improvements in ORR (p=0.034) and CR rate (p=0.038) at C6D50, EFS (p=0.046) and OS (p=0.014). Treatment-emergent adverse event occurrence rates were comparable across groups (all p>0.05). Infusion-related responses occurred more often in the Hi-CHOP group (32.1% vs 19.9%, p=0.006), all of grade 1-3 severity. CONCLUSIONS Zuberitamab (375 mg/m2) plus CHOP was non-inferior to R-CHOP regarding ORR but exhibited a higher CR rate and was well tolerated in CD20-positive, previously untreated Chinese patients with DLBCL. TRIAL REGISTRATION NUMBER Chinese Clinical Trial Registry, ChiCTR2000040602, retrospectively registered.
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Affiliation(s)
- Zhiming Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Wenqi Jiang
- Center of Excellence in Oncology, Guangzhou R&F Hospital, Guangzhou, China
| | - Hui Zhou
- Department of Lymphoma & Hematology, Hunan Cancer Hospital & The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Hong Cen
- Department of Hematology/Oncology and Pediatric Oncology, Guangxi Medical University Affiliated Cancer Hospital, Nanning, China
| | - Mingzhi Zhang
- Department of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fangfang Lv
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Qingyuan Zhang
- Deparment of Mammary and Lymphatic Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Xiuhua Sun
- Department of Medical Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Lihong Liu
- Department of Hematology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yunhong Huang
- Department of Lymphoma, The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China
| | - Haiyan Yang
- Department of Lymphoma Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Sujun Gao
- Department of Hematology, The First Hospital of Jilin University, Changchun, China
| | - Chuan He
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Yang
- Department of Hematology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wenyu Li
- Department of Lymphoma, Guangdong Provincial People's Hospital, Guangdong Academy of Sciences, Guangzhou, China
| | - Ding Yu
- Department of Lymphoma, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Yang
- Department of Lymphoma, Head and Neck Oncology, Fujian Cancer Hospital, Fuzhou, China
| | - Ying Cheng
- Department of Hematology, Jilin Cancer Hospital, Changchun, China
| | - Zhengzi Qian
- Department of Lymphoma, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China
| | - Ying Xiang
- Department of Hematology and Oncology, Chongqing Cancer Hospital, Chongqing, China
| | - Qunyi Guo
- Department of Hematology and Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Bing Xu
- Department of Hematology, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Yuqin Song
- Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Liling Zhang
- Department of Lymphoma, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lie Lin
- Department of Hematology, Hainan General Hospital, Haikou, China
| | - Jianzhen Shen
- Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Feng Yan
- Department of Hematology, Third Affiliated Hospital of Suzhou University, First People's Hospital of Changzhou, Changzhou, China
| | - Huilan Liu
- Department of Hematology, Anhui Provincial Hospital, The First Affiliated Hospital of University of Science and Technology of China, Hefei, China
| | - Donghua Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jishi Wang
- Department of Hematology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Min Zhou
- Department of Medical Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - Xiongpeng Zhu
- Department of Hematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
| | - Weihua Zhang
- Department of Hematology, The First Affiliated Hospital of Shanxi Medical University, Taiyuan, China
| | - Weili Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ru Feng
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaohong Zhang
- Department of Hematology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Jie Jin
- Department of Hematology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Meizuo Zhong
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Mei Zhang
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jingbo Wang
- Department of Hematology, Aerospace Central Hospital, Beijing, China
| | - Hongmei Jing
- Department of Hematology, Peking University Third Hospital, Beijing, China
| | - Zhao Wang
- Department of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hongguo Zhao
- Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jun Zhu
- Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
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4
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Daniele P, Mamolo C, Cappelleri JC, Bell T, Neuhof A, Tremblay G, Musat M, Forsythe A. Overall and complete response rates as potential surrogates for overall survival in relapsed/refractory multiple myeloma. Future Oncol 2023; 19:463-471. [PMID: 37083162 DOI: 10.2217/fon-2022-0932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023] Open
Abstract
Aim: The correlation between response and survival has not been well-studied in relapsed or refractory multiple myeloma (RRMM). Materials & methods: A systematic literature review of Medline, Embase and Cochrane databases (2010-06/2020) and relevant congresses (2018-2020) was performed to identify randomized clinical trials in RRMM reporting median overall survival (mOS), progression-free survival and response endpoints. The relationship between mOS and response endpoints was analyzed using Pearson's product-moment correlation. Results: A total of 81 records for 65 original studies, representing 12,827 patients were included. The correlation was moderate for mOS with overall response rate (Pearson r = 0.79), very good partial response (r = 0.73) and duration of response (r = 0.78); all were statistically significant. In linear regression models, estimated mOS gain was 0.48, 0.47 and 1.94 months per percentage point of overall response rate, very good partial response and complete response, respectively (all p < 0.001). Significance was maintained after adjustment for age, relapsed versus refractory multiple myeloma and study year. The analysis was limited by small sample sizes and inconsistent reporting of study-level covariates. Conclusion: These findings support short-term response-based endpoints as surrogates to survival in RRMM.
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Affiliation(s)
- Patrick Daniele
- Purple Squirrel Economics, a Cytel Company, Montreal, QC H3J 1M1, Canada
| | - Carla Mamolo
- Previously of Pfizer Inc., Groton, CT 06340, USA
| | | | - Timothy Bell
- Previously of Pfizer Inc., New York, NY 10017, USA
| | | | - Gabriel Tremblay
- Purple Squirrel Economics, a Cytel Company, Montreal, QC H3J 1M1, Canada
| | - Mihaela Musat
- Purple Squirrel Economics, a Cytel Company, New York, NY 10010, USA
| | - Anna Forsythe
- Purple Squirrel Economics, a Cytel Company, New York, NY 10010, USA
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5
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Rustand D, van Niekerk J, Rue H, Tournigand C, Rondeau V, Briollais L. Bayesian estimation of two-part joint models for a longitudinal semicontinuous biomarker and a terminal event with INLA: Interests for cancer clinical trial evaluation. Biom J 2023; 65:e2100322. [PMID: 36846925 DOI: 10.1002/bimj.202100322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 12/16/2022] [Accepted: 12/30/2022] [Indexed: 03/01/2023]
Abstract
Two-part joint models for a longitudinal semicontinuous biomarker and a terminal event have been recently introduced based on frequentist estimation. The biomarker distribution is decomposed into a probability of positive value and the expected value among positive values. Shared random effects can represent the association structure between the biomarker and the terminal event. The computational burden increases compared to standard joint models with a single regression model for the biomarker. In this context, the frequentist estimation implemented in the R package frailtypack can be challenging for complex models (i.e., a large number of parameters and dimension of the random effects). As an alternative, we propose a Bayesian estimation of two-part joint models based on the Integrated Nested Laplace Approximation (INLA) algorithm to alleviate the computational burden and fit more complex models. Our simulation studies confirm that INLA provides accurate approximation of posterior estimates and to reduced computation time and variability of estimates compared to frailtypack in the situations considered. We contrast the Bayesian and frequentist approaches in the analysis of two randomized cancer clinical trials (GERCOR and PRIME studies), where INLA has a reduced variability for the association between the biomarker and the risk of event. Moreover, the Bayesian approach was able to characterize subgroups of patients associated with different responses to treatment in the PRIME study. Our study suggests that the Bayesian approach using the INLA algorithm enables to fit complex joint models that might be of interest in a wide range of clinical applications.
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Affiliation(s)
- Denis Rustand
- Biostatistic Team, Bordeaux Population Health Center, ISPED, Centre INSERM U1219, Bordeaux, France.,Statistics Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia
| | - Janet van Niekerk
- Statistics Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia
| | - Håvard Rue
- Statistics Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia
| | | | - Virginie Rondeau
- Biostatistic Team, Bordeaux Population Health Center, ISPED, Centre INSERM U1219, Bordeaux, France
| | - Laurent Briollais
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Dalla Lana School of Public Health (Biostatistics), University of Toronto, Toronto, Ontario, Canada
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6
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Shi Y, Zhang Q, Hong X, Wang Z, Gao Y, Zou L, Cen H, Gui L, Li Y, Feng J, Wang Z, Zhang M, Jin C, Zhang W, Hu J, Zheng C, Zheng Z, Zhang L, Chen S, Huang Y, Tang Y, Gao Y, Hao M, Li X, Chang C, Yang H, Wu H, Shen L, Ke X, Zhang L, Xi Y, Yang L, Xie L, Gai W, Ji Y. Comparison of efficacy and safety of ripertamab (SCT400) versus rituximab (Mabthera ® ) in combination with CHOP in patients with previously untreated CD20-positive diffuse large B-cell lymphoma: A randomized, single-blind, phase III clinical trial. Hematol Oncol 2022; 40:930-940. [PMID: 35858181 DOI: 10.1002/hon.3054] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 07/06/2022] [Accepted: 07/18/2022] [Indexed: 02/05/2023]
Abstract
This study compared the efficacy, safety and immunogenicity of ripertamab (SCT400) and rituximab (Mabthera® ) combined with CHOP as the first-line treatment for Chinese patients with CD20-positive diffuse large B cell lymphoma (DLBCL). This is a randomized, patient-blind, multicenter, active-control, non-inferiority study with parallel design. Patients were randomly (2:1) to receive ripertamab combined with CHOP (S-CHOP) or rituximab (Mabthera® ) combined with CHOP (R-CHOP) for up to 6 cycles. The primary endpoint was the Independent Review Committee (IRC) assessed objective response rate (ORR) in full analysis set (FAS) and the per protocol set (PPS). A total of 364 patients (243 in the S-CHOP and 121 in the R-CHOP groups) were enrolled in this study. In FAS, IRC-assessed ORRs were 93.8% (95% confidence interval (CI) 90.0%, 96.5%) and 94.2% (95% CI: 88.4%, 97.6%) in the S-CHOP and R-CHOP groups (p = 0.9633), respectively. The ORR difference between the two groups -0.4% (95% CI: -5.5%, 4.8%) met the pre-specified non-inferiority margin of -12%. There were no significant differences between the S-CHOP and R-CHOP groups in 1-year progression-free survival rates (81.1% vs. 83.2%, p = 0.8283), 1 year event-free survival rates (56.2% vs. 58.1%, p = 0.8005), and 3-year overall survival rates (81.0% vs. 82.8%, p = 0.7183). The results in PPS were consistent with those in FAS. The rates of treatment-emergent adverse events (TEAEs) and ≥ grade 3 TEAEs were 97.9% and 99.2%, 85.2% and 86.0% in the S-CHOP and R-CHOP groups, respectively in safety set. The percentage of anti-drug antibodies positive patients in the S-CHOP group was numerically lower than the R-CHOP group (10.9% vs. 16.0%). This study demonstrated that S-CHOP was not inferior to R-CHOP in the first-line treatment of Chinese patients with CD20-positive DLBCL in efficacy, safety and immunogenecity. S-CHOP could be an alternative first-line standard treatment regimen for this patient population.
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Affiliation(s)
- Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Qingyuan Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Xiaonan Hong
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zhen Wang
- Department of Oncology, Linyi Cancer Hospital, Linyi, Shandong, China
| | - Yuhuan Gao
- Department of Hematology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Liqun Zou
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hong Cen
- Department of Hematology/Oncology, Guangxi Medical University Affiliated Cancer Hospital, Nanning, Guangxi, China
| | - Lin Gui
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Yufu Li
- Department of Hematology, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Jifeng Feng
- Department of Medical Oncology, Jiangsu Cancer Hospital, Nanjing, Jiangsu, China
| | - Zhao Wang
- Department of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Mingzhi Zhang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Chuan Jin
- Department of Medical Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Weihua Zhang
- Department of Hematology, The First Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jianda Hu
- Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Chengyun Zheng
- Department of Hematology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Zhendong Zheng
- Department of Medical Oncology, General Hospital of Northern Theater Command, Shenyang, Liaoning, China
| | - Liling Zhang
- Department of Lymphoma, Cancer Center, Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shaoshui Chen
- Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China
| | - Yunhong Huang
- Department of Lymphoma, Guizhou Cancer Hospital, The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Yun Tang
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yajie Gao
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Miaowang Hao
- Department of Hematology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Xiaoling Li
- Department of Medical Oncology, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China
| | - Chunkang Chang
- Department of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Haiyan Yang
- Department of Lymphoma, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Hui Wu
- Department of Medical Oncology, Fujian Cancer Hospital, Fuzhou, Fujian, China
| | - Lida Shen
- Department of Medical Oncology, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xiaoyan Ke
- Department of Hematology, Peking University Third Hospital, Beijing, China
| | - Liangming Zhang
- Department of Medical Oncology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, China
| | - Yaming Xi
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Linhua Yang
- Department of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Liangzhi Xie
- Clinical Research Center, Sinocelltech Ltd, Beijing, China
| | - Wenlin Gai
- Clinical Research Center, Sinocelltech Ltd, Beijing, China
| | - Yanan Ji
- Clinical Research Center, Sinocelltech Ltd, Beijing, China
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Murphy P, Glynn D, Dias S, Hodgson R, Claxton L, Beresford L, Cooper K, Tappenden P, Ennis K, Grosso A, Wright K, Cantrell A, Stevenson M, Palmer S. Modelling approaches for histology-independent cancer drugs to inform NICE appraisals: a systematic review and decision-framework. Health Technol Assess 2022; 25:1-228. [PMID: 34990339 DOI: 10.3310/hta25760] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The first histology-independent marketing authorisation in Europe was granted in 2019. This was the first time that a cancer treatment was approved based on a common biomarker rather than the location in the body at which the tumour originated. This research aims to explore the implications for National Institute for Health and Care Excellence appraisals. METHODS Targeted reviews were undertaken to determine the type of evidence that is likely to be available at the point of marketing authorisation and the analyses required to support National Institute for Health and Care Excellence appraisals. Several challenges were identified concerning the design and conduct of trials for histology-independent products, the greater levels of heterogeneity within the licensed population and the use of surrogate end points. We identified approaches to address these challenges by reviewing key statistical literature that focuses on the design and analysis of histology-independent trials and by undertaking a systematic review to evaluate the use of response end points as surrogate outcomes for survival end points. We developed a decision framework to help to inform approval and research policies for histology-independent products. The framework explored the uncertainties and risks associated with different approval policies, including the role of further data collection, pricing schemes and stratified decision-making. RESULTS We found that the potential for heterogeneity in treatment effects, across tumour types or other characteristics, is likely to be a central issue for National Institute for Health and Care Excellence appraisals. Bayesian hierarchical methods may serve as a useful vehicle to assess the level of heterogeneity across tumours and to estimate the pooled treatment effects for each tumour, which can inform whether or not the assumption of homogeneity is reasonable. Our review suggests that response end points may not be reliable surrogates for survival end points. However, a surrogate-based modelling approach, which captures all relevant uncertainty, may be preferable to the use of immature survival data. Several additional sources of heterogeneity were identified as presenting potential challenges to National Institute for Health and Care Excellence appraisal, including the cost of testing, baseline risk, quality of life and routine management costs. We concluded that a range of alternative approaches will be required to address different sources of heterogeneity to support National Institute for Health and Care Excellence appraisals. An exemplar case study was developed to illustrate the nature of the assessments that may be required. CONCLUSIONS Adequately designed and analysed basket studies that assess the homogeneity of outcomes and allow borrowing of information across baskets, where appropriate, are recommended. Where there is evidence of heterogeneity in treatment effects and estimates of cost-effectiveness, consideration should be given to optimised recommendations. Routine presentation of the scale of the consequences of heterogeneity and decision uncertainty may provide an important additional approach to the assessments specified in the current National Institute for Health and Care Excellence methods guide. FURTHER RESEARCH Further exploration of Bayesian hierarchical methods could help to inform decision-makers on whether or not there is sufficient evidence of homogeneity to support pooled analyses. Further research is also required to determine the appropriate basis for apportioning genomic testing costs where there are multiple targets and to address the challenges of uncontrolled Phase II studies, including the role and use of surrogate end points. FUNDING This project was funded by the National Institute for Health Research (NIHR) Evidence Synthesis programme and will be published in full in Health Technology Assessment; Vol. 25, No. 76. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Peter Murphy
- Centre for Reviews and Dissemination, University of York, York, UK
| | - David Glynn
- Centre for Health Economics, University of York, York, UK
| | - Sofia Dias
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Robert Hodgson
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Lindsay Claxton
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Lucy Beresford
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Katy Cooper
- School of Health and Related Research (ScHARR) Technology Assessment Group, University of Sheffield, Sheffield, UK
| | - Paul Tappenden
- School of Health and Related Research (ScHARR) Technology Assessment Group, University of Sheffield, Sheffield, UK
| | - Kate Ennis
- School of Health and Related Research (ScHARR) Technology Assessment Group, University of Sheffield, Sheffield, UK
| | | | - Kath Wright
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Anna Cantrell
- School of Health and Related Research (ScHARR) Technology Assessment Group, University of Sheffield, Sheffield, UK
| | - Matt Stevenson
- School of Health and Related Research (ScHARR) Technology Assessment Group, University of Sheffield, Sheffield, UK
| | - Stephen Palmer
- Centre for Health Economics, University of York, York, UK
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Axicabtagene ciloleucel in relapsed or refractory indolent non-Hodgkin lymphoma (ZUMA-5): a single-arm, multicentre, phase 2 trial. Lancet Oncol 2021; 23:91-103. [PMID: 34895487 DOI: 10.1016/s1470-2045(21)00591-x] [Citation(s) in RCA: 378] [Impact Index Per Article: 94.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Most patients with advanced-stage indolent non-Hodgkin lymphoma have multiple relapses. We assessed axicabtagene ciloleucel autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy in relapsed or refractory indolent non-Hodgkin lymphoma. METHODS ZUMA-5 is a single-arm, multicentre, phase 2 trial being conducted at 15 medical cancer centres in the USA and two medical cancer centres in France. Patients were eligible if they were aged 18 years or older, with histologically confirmed indolent non-Hodgkin lymphoma (follicular lymphoma or marginal zone lymphoma), had relapsed or refractory disease, previously had two or more lines of therapy (including an anti-CD20 monoclonal antibody with an alkylating agent), and an Eastern Cooperative Oncology Group performance score of 0 or 1. Patients underwent leukapheresis and received conditioning chemotherapy (cyclophosphamide at 500 mg/m2 per day and fludarabine at 30 mg/m2 per day on days -5, -4, and -3) followed by a single infusion of axicabtagene ciloleucel (2 × 106 CAR T cells per kg) on day 0. The primary endpoint was overall response rate (complete response and partial response) assessed by an independent review committee per Lugano classification. The primary activity analysis was done after at least 80 treated patients with follicular lymphoma had been followed up for at least 12 months after the first response assessment at week 4 after infusion. The primary analyses were done in the per-protocol population (ie, eligible patients with follicular lymphoma who had 12 months of follow-up after the first response assessment and eligible patients with marginal zone lymphoma who had at least 4 weeks of follow-up after infusion of axicabtagene ciloleucel). Safety analyses were done in patients who received an infusion of axicabtagene ciloleucel. This study is registered with ClinicalTrials.gov, NCT03105336, and is closed to accrual. FINDINGS Between June 20, 2017, and July 16, 2020, 153 patients were enrolled and underwent leukapheresis, and axicabtagene ciloleucel was successfully manufactured for all enrolled patients. As of data cutoff (Sept 14, 2020), 148 patients had received an infusion of axicabtagene ciloleucel (124 [84%] who had follicular lymphoma and 24 [16%] who had marginal zone lymphoma). The median follow-up for the primary analysis was 17·5 months (IQR 14·1-22·6). Among patients who were eligible for the primary analysis (n=104, of whom 84 had follicular lymphoma and 20 had marginal zone lymphoma), 96 (92%; 95% CI 85-97) had an overall response and 77 (74%) had a complete response. The most common grade 3 or worse adverse events were cytopenias (104 [70%] of 148 patients) and infections (26 [18%]). Grade 3 or worse cytokine release syndrome occurred in ten (7%) patients and grade 3 or 4 neurological events occurred in 28 (19%) patients. Serious adverse events (any grade) occurred in 74 (50%) patients. Deaths due to adverse events occurred in four (3%) patients, one of which was deemed to be treatment-related (multisystem organ failure). INTERPRETATION Axicabtagene ciloleucel showed high rates of durable responses and had a manageable safety profile in patients with relapsed or refractory indolent non-Hodgkin lymphoma. FUNDING Kite, a Gilead Company.
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Li Q, Lin J, Liu M, Wu L, Liu Y. Using Surrogate Endpoints in Adaptive Designs with Delayed Treatment Effect. Stat Biopharm Res 2021. [DOI: 10.1080/19466315.2021.1938203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Qing Li
- Takeda Pharmaceuticals, Cambridge, MA
| | | | | | - Liwen Wu
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA
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10
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Cooper K, Tappenden P, Cantrell A, Ennis K. A systematic review of meta-analyses assessing the validity of tumour response endpoints as surrogates for progression-free or overall survival in cancer. Br J Cancer 2020; 123:1686-1696. [PMID: 32913287 PMCID: PMC7687906 DOI: 10.1038/s41416-020-01050-w] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 07/29/2020] [Accepted: 08/18/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Tumour response endpoints, such as overall response rate (ORR) and complete response (CR), are increasingly used in cancer trials. However, the validity of response-based surrogates is unclear. This systematic review summarises meta-analyses assessing the association between response-based outcomes and overall survival (OS), progression-free survival (PFS) or time-to-progression (TTP). METHODS Five databases were searched to March 2019. Meta-analyses reporting correlation or regression between response-based outcomes and OS, PFS or TTP were summarised. RESULTS The systematic review included 63 studies across 20 cancer types, most commonly non-small cell lung cancer (NSCLC), colorectal cancer (CRC) and breast cancer. The strength of association between ORR or CR and either PFS or OS varied widely between and within studies, with no clear pattern by cancer type. The association between ORR and OS appeared weaker and more variable than that between ORR and PFS, both for associations between absolute endpoints and associations between treatment effects. CONCLUSIONS This systematic review suggests that response-based endpoints, such as ORR and CR, may not be reliable surrogates for PFS or OS. Where it is necessary to use tumour response to predict treatment effects on survival outcomes, it is important to fully reflect all statistical uncertainty in the surrogate relationship.
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Affiliation(s)
- Katy Cooper
- ScHARR, University of Sheffield, Sheffield, UK.
| | | | | | - Kate Ennis
- ScHARR, University of Sheffield, Sheffield, UK
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11
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Dai HI, Vugmeyster Y, Mangal N. Characterizing Exposure-Response Relationship for Therapeutic Monoclonal Antibodies in Immuno-Oncology and Beyond: Challenges, Perspectives, and Prospects. Clin Pharmacol Ther 2020; 108:1156-1170. [PMID: 32557643 PMCID: PMC7689749 DOI: 10.1002/cpt.1953] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 05/27/2020] [Indexed: 12/20/2022]
Abstract
Recent data from immuno-oncology clinical studies have shown the exposure-response (E-R) relationship for therapeutic monoclonal antibodies (mAbs) was often confounded by various factors due to the complex interplay of patient characteristics, disease, drug exposure, clearance, and treatment response and presented challenges in characterization and interpretation of E-R analysis. To tackle the challenges, exposure relationships for therapeutic mAbs in immuno-oncology and oncology are reviewed, and a general framework for an integrative understanding of E-R relationship is proposed. In this framework, baseline factors, drug exposure, and treatment response are envisioned to form an interconnected triangle, driving the E-R relationship and underlying three components that compose the apparent relationship: exposure-driven E-R, baseline-driven E-R, and response-driven E-R. Various strategies in data analysis and study design to decouple those components and mitigate the confounding effect are reviewed for their merits and limitations, and a potential roadmap for selection of these strategies is proposed. Specifically, exposure metrics based on a single-dose pharmacokinetic model can be used to mitigate response-driven E-R, while multivariable analysis and/or case control analysis of data obtained from multiple dose levels in a randomized study may be used to account for the baseline-driven E-R. In this context, the importance of collecting data from multiple dose levels, the role of prognostic factors and predictive factors, the potential utility of clearance at baseline and its change over time, and future directions are discussed.
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Affiliation(s)
- Haiqing Isaac Dai
- Clinical Pharmacology/Quantitative Pharmacology/Translational Medicine, EMD Serono (a business of Merck KGaA, Darmstadt, Germany), Billerica, MA, USA
| | - Yulia Vugmeyster
- Clinical Pharmacology/Quantitative Pharmacology/Translational Medicine, EMD Serono (a business of Merck KGaA, Darmstadt, Germany), Billerica, MA, USA
| | - Naveen Mangal
- Clinical Pharmacology/Quantitative Pharmacology/Translational Medicine, EMD Serono (a business of Merck KGaA, Darmstadt, Germany), Billerica, MA, USA
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12
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Pettengell R, Długosz-Danecka M, Andorsky D, Belada D, Georgiev P, Quick D, Singer JW, Singh SB, Pallis A, Egorov A, Salles G. Pixantrone plus rituximab versus gemcitabine plus rituximab in patients with relapsed aggressive B-cell non-Hodgkin lymphoma not eligible for stem cell transplantation: a phase 3, randomized, multicentre trial (PIX306). Br J Haematol 2019; 188:240-248. [PMID: 31879945 DOI: 10.1111/bjh.16255] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 09/23/2019] [Indexed: 12/12/2022]
Abstract
PIX306 was a phase 3, randomised, single-blind, multicentre trial conducted in adult patients with diffuse large B-cell lymphoma (DLBCL) or follicular lymphoma (FL) grade 3 who relapsed after ≥1 rituximab-containing regimen and were not eligible for a stem cell transplant. Patients were randomised 1:1 to pixantrone 50 mg/m2 or gemcitabine 1000 mg/m2 on days 1, 8 and 15 of a 28-day cycle, combined with rituximab 375 mg/m2 on day 1, for up to six cycles. Patients were followed for up to 96 weeks. The primary endpoint was progression-free survival (PFS). Secondary endpoints included overall survival (OS), complete response (CR) rate, overall response rate (ORR) and safety. Overall, 312 patients were randomised (median age 73·0 years). The study did not meet its primary endpoint. Median PFS [95% confidence interval (CI)] was 7·3 months (5·2-8·4) with pixantrone + rituximab (PIX + R) and 6·3 months (4·4-8·1) with gemcitabine + rituximab [GEM + R; hazard ratio (HR): 0·85; 95% CI 0·64-1·14; P = 0·28]. Median OS was 13·3 (10·1-19·8) months with PIX + R and 19·6 (12·4-31·9) months with GEM + R (HR: 1·13; 95% CI 0·83-1·53). ORR was 61·9% and 43·9% respectively and CR rate 35·5% and 21·7%. The incidence of adverse events, including cardiac events, was not statistically significant different between PIX + R and GEM + R.
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Affiliation(s)
| | | | - David Andorsky
- Rocky Mountain Cancer Centers, US Oncology Research, Boulder, CO, USA
| | - David Belada
- Clinical Haematology, 4th Department of Internal Medicine, Charles University, Hospital and Faculty of Medicine, Hradec Králové, Czech Republic
| | - Pencho Georgiev
- Clinic of Oncology and Haematology, University Multiprofile Hospital for Active Treatment "Sveti Georgi" and Medical University, Plovdiv, Bulgaria
| | - Donald Quick
- Joe Arrington Cancer Research Treatment Center, Lubbock, TX, USA
| | - Jack W Singer
- CTI Biopharma, Seattle, WA, USA.,Elson S. Floyd School of Medicine, Washington State University, WA, USA
| | - Simran B Singh
- CTI Biopharma, Seattle, WA, USA.,Elson S. Floyd School of Medicine, Washington State University, WA, USA
| | | | - Anton Egorov
- Institut de Recherches Internationales Servier, Suresnes, France
| | - Gilles Salles
- Haematology Department, Hospices Civils de Lyon, Université Claude Bernard Lyon-1, Pierre-Bénite, France
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14
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Chen Y, Mei X, Gan D, Wu Z, Cao Y, Lin M, Zhang N, Yang T, Chen Y, Hu J. Integration of bioinformatics and experiments to identify TP53 as a potential target in Emodin inhibiting diffuse large B cell lymphoma. Biomed Pharmacother 2018; 107:226-233. [PMID: 30096626 DOI: 10.1016/j.biopha.2018.07.168] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Revised: 07/26/2018] [Accepted: 07/31/2018] [Indexed: 12/15/2022] Open
Abstract
Non-Hodgkin's Lymphoma (NHL) is a group of lymphoid malignancies with unsatisfactory treatment effect in some aggressive subtypes, including diffuse large B cell lymphoma (DLBCL). Emodin is an anthraquinone with potent anti-cancer activities. However, the molecular mechanism of Emodin repressing aggressive NHL remains to be revealed in detail. This study delineated the active mechanism of Emodin action in aggressive NHL by using bioinformatics analysis and in vitro assay. 4 Emodin's primary direct protein targets (DPT) were identified and the DPTs-associated proteins/genes were predicted. Those Emodin-related proteins/genes were subject to enrich Emodin-associated pathways, from which 3 significantly NHL-related signal pathways were refined identified. Advanced integrated analysis exhibited TP53 and PI3K as the significant molecule and pathway by which Emodin may function in NHL. To verify those bioinformatics findings, effects of Emodin and E35, a novel derivative of emodin were investigated on DLBCL cell lines SU-DHL4. Emodin and E35 suppressed proliferation and induced apoptosis of SU-DHL4 cells in a time- and dose-dependent manner. Emodin and E35 declined TP53 protein expression and decreased phosphorylation of PI3K/AKT protein in a dose-dependent manner. All of above showed that combined bioinformatics analysis with experiments offered a novel approach for outlining the mechanisms of Emodin action in DLBCL with convenience and integrity.
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Affiliation(s)
- Yanxin Chen
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China
| | - Xuqiao Mei
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China
| | - Donghui Gan
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China
| | - Zhengjun Wu
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China
| | - Yanqin Cao
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China
| | - Minhui Lin
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China
| | - Na Zhang
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China
| | - Ting Yang
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China
| | - Yingyu Chen
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China.
| | - Jianda Hu
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, Fujian, China.
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15
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Mangal N, Salem AH, Menon RM, Freise KJ. Use of depth of response to predict progression-free survival in relapsed or refractory multiple myeloma: Evaluation of results from 102 clinical trials. Hematol Oncol 2018; 36:547-553. [PMID: 29672885 DOI: 10.1002/hon.2514] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 03/21/2018] [Accepted: 03/22/2018] [Indexed: 11/07/2022]
Abstract
Progression-free survival (PFS) is the standard endpoint for demonstration of clinical effectiveness of novel therapies in relapsed or refractory multiple myeloma (RRMM). However, the long evaluation times for PFS limits its usefulness in the development of new therapies. Therefore, the objective of this analysis was to determine the relationship between response rates and median PFS in RRMM. A database was systematically developed from 268 identified RRMM trials reported from 1999 to 2016. Evaluated covariates for the relationship between response rates and PFS included age, sex, drug class(es), and number of drug classes. One-hundred two (102) trials involving 136 cohorts were included in the meta-analysis, representing 13 322 patients in total. Regression analysis using response rates and median PFS indicated that the correlation between very good partial response (VGPR) or better and median PFS was higher (R2 = 0.63) than the separately analyzed correlations between clinical benefit, overall response, or complete response rate and median PFS (R2 = 0.47 - 0.52). Subsequent covariate analysis revealed that treatment with an immunomodulatory imide drug (IMiD) further improved the relationship (R2 = 0.69), with a longer median PFS at a given VGPR or better rate when at least 1 drug treatment was an IMiD. Number of drug classes was not found to alter this relationship. In conclusion, VGPR or better rate can be used to predict the median PFS, with adjustment for the additional PFS provided by an IMiD.
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Affiliation(s)
- Naveen Mangal
- Center for Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, FL, USA
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16
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Abstract
BACKGROUND Non-Hodgkin lymphoma (NHL) is a group of lymphoproliferative malignancies with varying treatment responses and progression-free survival (PFS) times. The objective of this study was to quantify the effect of treatment and patient-population characteristics on PFS in patients with NHL. METHODS A database was developed from 513 NHL clinical trials reported from 1993 to 2015. Summary-level PFS was obtained from 112 of these trials, which included 155 cohorts and 11,824 patients. Characteristics evaluated for their impact on PFS included cohort treatment, percentage of patients with each NHL subtype, percentage of patients with different numbers of prior treatments, percentage of subjects previously administered rituximab, performance status, disease stage, median age, and sex distribution. RESULTS Rituximab, bendamustine, CHOP (cyclophosphamide, doxorubicin, vincristine, and prednisone combination)/CHOP-like, and other nonchemotherapy drugs, aside from bortezomib, prolonged median PFS time 2 to 4-fold. Follicular lymphoma patients had 60% longer median PFS time than mantle cell lymphoma (MCL) patients, while diffuse large B-cell lymphoma patients had a median PFS time that was 25% of MCL patients. Patients who received ≤1 prior treatment had median PFS times > 10-fold longer than patients who received ≥2 prior treatments. The final model predicted the hazard ratio in 75% of the studies within 25% of the observed value and the observed median PFS time of 92% of the studies fell within the predicted 90% confidence intervals. CONCLUSIONS The developed PFS model predicts the median PFS time and hazard ratio for specific populations and treatment combinations quantitatively and can potentially be extended to link short-term and long-term clinical outcomes.
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Affiliation(s)
- Mengyao Li
- AbbVie Inc., North Chicago, IL
- Current address: Merck and Co., Rahway, NJ
| | | | - Ahmed Hamed Salem
- AbbVie Inc., North Chicago, IL
- Department of Clinical Pharmacy, Ain-Shams University, Cairo, Egypt
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