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Morris BA, Merfeld EC, Burr AR, Bradley KA, Fletcher CD. Combining Obinutuzumab With Radiation for Refractory DLBCL: Retrospective Safety and Efficacy Analysis. Adv Radiat Oncol 2024; 9:101524. [PMID: 38799107 PMCID: PMC11127189 DOI: 10.1016/j.adro.2024.101524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 04/19/2024] [Indexed: 05/29/2024] Open
Abstract
Purpose Approximately 30% of patients with diffuse large B cell lymphoma (DLBCL) will develop relapsed or treatment-refractory disease after primary chemotherapy. Patients unable to undergo aggressive chemotherapy and stem cell transplant or chimeric antigen receptor T-cell (CAR T-cell) therapy have limited treatment options. Here, we investigated the safety and efficacy of combining obinutuzumab with cytoreductive radiation to all areas of disease in patients with relapsed DLBCL. Methods and Materials A retrospective review of patients with treatment refractory DLBCL was performed. All patients were treated with external beam radiation to all sites of refractory disease with concurrent and adjuvant obinutuzumab. Toxicities were evaluated based on Common Terminology Criteria for Adverse Events v5.0 criteria. Kaplan-Meier analysis was used to calculate progression-free survival and overall survival. Results Between 2016 and 2022, 7 patients with refractory DLBCL were treated with concurrent radiation and obinutuzumab. No grade 3 or greater treatment-related toxicity was observed. Four of the 7 patients had a complete response at the radiated site on first postradiation imaging. The median progression-free survival and overall survival were 30 months. Conclusions In this small cohort of treatment-refractory patients with DLBCL, the combination of radiation and obinutuzumab was well tolerated without excessive treatment-related toxicity. The combination resulted in durable disease control with a prolonged overall survival without additional treatment in a subset of patients.
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Affiliation(s)
- Brett A. Morris
- Department of Human Oncology, Department of Internal Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Emily C. Merfeld
- Department of Human Oncology, Department of Internal Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Adam R. Burr
- Department of Human Oncology, Department of Internal Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Kristin A. Bradley
- Department of Human Oncology, Department of Internal Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Christopher D. Fletcher
- Division of Hematology and Oncology, Department of Internal Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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Wan M, Zhang W, Huang H, Fang X, Chen Y, Tian Y, Yao Y, Weng H, Chen Z, Yu L, Tian Y, Huang H, Li X, Hong H, Lin T. Development and validation of a novel prognostic nomogram for advanced diffuse large B cell lymphoma. Clin Exp Med 2024; 24:64. [PMID: 38554186 PMCID: PMC10981611 DOI: 10.1007/s10238-024-01326-y] [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] [Received: 11/08/2023] [Accepted: 03/07/2024] [Indexed: 04/01/2024]
Abstract
Advanced diffuse large B cell lymphoma (DLBCL) is a common malignant tumor with aggressive clinical features and poor prognosis. At present, there is lack of effective prognostic tool for patients with advanced (stage III/IV) DLBCL. The aim of this study is to identify prognostic indicators that affect survival and response and establish the first survival prediction nomogram for advanced DLBCL. A total of 402 patients with advanced DLBCL were enrolled in this study. COX multivariate analysis was used to obtain independent prognostic factors. The independent prognostic factors were included in the nomogram, and the nomogram to predict the performance of the model was established by R rms package, C-index (consistency index), AUC curve and calibration curve. The training and validation cohorts included 281 and 121 patients. In the training cohort, multivariate analysis showed that Ki-67 (70% (high expression) vs ≤ 70% (low expression), p < 0.001), LDH (lactate dehydrogenase) (elevated vs normal, p = 0.05), FER (ferritin) (elevated vs normal, p < 0.001), and β2-microglobulin (elevated vs normal, p < 0.001) were independent predictors and the nomogram was constructed. The nomogram showed that there was a significant difference in OS among the low-risk, intermediate-risk and high-risk groups, with 5-year survival rates of 81.6%, 44% and 6%, respectively. The C-index of the nomogram in the training group was 0.76. The internal validation of the training group showed good consistency. In the internal validation cohort of the training group, the AUC was 0.828, and similar results were obtained in the validation group, with a C-index of 0.74 and an AUC of 0.803. The proposed nomogram provided a valuable individualized risk assessment of OS in advanced DLBCL patients.
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Affiliation(s)
- Mengdi Wan
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan Province, China
| | - Wei Zhang
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan Province, China
| | - He Huang
- Department of Medical Oncology, State Key Laboratory of Oncology in Southern China and Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng, Road East, Guangzhou, 510060, Guangdong, China
| | - Xiaojie Fang
- Department of Medical Oncology, State Key Laboratory of Oncology in Southern China and Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng, Road East, Guangzhou, 510060, Guangdong, China
| | - Yungchang Chen
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan Province, China
| | - Ying Tian
- Department of Medical Oncology, State Key Laboratory of Oncology in Southern China and Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng, Road East, Guangzhou, 510060, Guangdong, China
| | - Yuyi Yao
- Department of Medical Oncology, State Key Laboratory of Oncology in Southern China and Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng, Road East, Guangzhou, 510060, Guangdong, China
| | - Huawei Weng
- Department of Medical Oncology, State Key Laboratory of Oncology in Southern China and Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng, Road East, Guangzhou, 510060, Guangdong, China
| | - Zegeng Chen
- Department of Medical Oncology, State Key Laboratory of Oncology in Southern China and Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng, Road East, Guangzhou, 510060, Guangdong, China
| | - Le Yu
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan Province, China
| | - Yuke Tian
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan Province, China
| | - Huageng Huang
- Department of Medical Oncology, State Key Laboratory of Oncology in Southern China and Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng, Road East, Guangzhou, 510060, Guangdong, China
| | - Xudong Li
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan Province, China
| | - Huangming Hong
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan Province, China.
| | - Tongyu Lin
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan Province, China.
- Department of Medical Oncology, State Key Laboratory of Oncology in Southern China and Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng, Road East, Guangzhou, 510060, Guangdong, China.
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Zhao M, Wang L, Wang X, He J, Yu K, Li D. Non-neoplastic cells as prognostic biomarkers in diffuse large B-cell lymphoma: A system review and meta-analysis. TUMORI JOURNAL 2024:3008916231221636. [PMID: 38183180 DOI: 10.1177/03008916231221636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2024]
Abstract
The microenvironment of diffuse large B-cell lymphoma (DLBCL) is composed of various components, including immune cells and immune checkpoints, some of which have been correlated with the prognosis of DLBCL, but their results remain controversial. Therefore, we conducted a systematic review and meta-analysis to investigate the association between the microenvironment and prognosis in DLBCL. We searched PubMed, Web of Science, and EMBASE for relevant articles between 2001 and 2022. Twenty-five studies involving 4495 patients with DLBCL were included in the analysis. This meta-analysis confirmed that high densities of Foxp3+Tregs and PD-1+T cells are good indicators for overall survival (OS) in DLBCL, while high densities of programmed cell death protein ligand1(PD-L1)-positive expression cells and T-cell immunoglobulin-and mucin domain-3-containing molecule 3 (TIM-3)-positive expression tumor-infiltrating cells (TILs) play a contrary role in OS. Additionally, higher numbers of T-cell intracytoplasmic antigen-1(TIA-1)-positive expression T cells imply better OS and progression-free survival (PFS), while high numbers of lymphocyte activation gene(LAG)-positive expression TILs predict bad OS and PFS. Various non-tumoral cells in the microenvironment play important roles in the prognosis of DLBCL.
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Affiliation(s)
- Min Zhao
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Pathology, Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center of Chongqing Medical University, Chongqing, China
| | - Lixing Wang
- Department of Pathology, Chongqing Medical University, Chongqing, China
| | - Xingyu Wang
- Department of Pathology, Chongqing Medical University, Chongqing, China
| | - Juan He
- Department of Pathology, Chongqing Medical University, Chongqing, China
| | - Kuai Yu
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center of Chongqing Medical University, Chongqing, China
- Department of Pathology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Dan Li
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Pathology, Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center of Chongqing Medical University, Chongqing, China
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Chen H, Wang J, Zhang C, Ding P, Tian S, Chen J, Ji G, Wu T. Sphingosine 1-phosphate receptor, a new therapeutic direction in different diseases. Biomed Pharmacother 2022; 153:113341. [PMID: 35785704 DOI: 10.1016/j.biopha.2022.113341] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/22/2022] [Accepted: 06/24/2022] [Indexed: 12/01/2022] Open
Abstract
Sphingosine 1-phosphate receptor (S1PR), as a kind of G protein-coupled receptor, has five subtypes, including S1PR1, S1PR2, S1PR3, S1PR4, and S1PR5. Sphingosine 1-phosphate receptor (S1P) and S1PR regulate the trafficking of neutrophils and some cells, which has great effects on immune systems, lung tissue, and liver tissue. Presently, many related reports have proved that S1PR has a strong effect on the migration of lymphocytes, tumor cells, neutrophils, and many other cells via the regulation of signals, pathways, and enzymes. In this way, S1PR can regulate the relative response of the organism. Thus, S1PR has become a possible target for the treatment of autoimmune diseases, pulmonary disease, liver disease, and cancer. In this review, we mainly focus on the research of the S1PR for the new therapeutic directions of different diseases and is expected to assist support in the clinic and drug use.
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Affiliation(s)
- Hongyu Chen
- Minhang Hospital, Fudan University, Shanghai 201199, China; Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Junmin Wang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Caiyun Zhang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Peilun Ding
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Shuxia Tian
- Minhang Hospital, Fudan University, Shanghai 201199, China
| | - Junming Chen
- Minhang Hospital, Fudan University, Shanghai 201199, China.
| | - Guang Ji
- Institute of Digestive Disease, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
| | - Tao Wu
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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