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Liang Y, Chang J, Gao Y, Zhang L, Chen X, Zheng C, Sun Y, Zhang X, Guo C, Zhang Y. Development of a novel prognostic nomogram for AIDS-associated diffuse large B-cell lymphoma: a retrospective study from northern China. Clin Exp Med 2025; 25:62. [PMID: 39964648 PMCID: PMC11835908 DOI: 10.1007/s10238-025-01586-2] [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] [Received: 09/06/2024] [Accepted: 02/03/2025] [Indexed: 02/21/2025]
Abstract
Despite advancements in antiretroviral therapy, AIDS-related diffuse large B-cell lymphoma (AR-DLBCL) remains a major cause of morbidity and mortality. Compared to non-HIV-infected individuals, AR-DLBCL presents with considerable disease heterogeneity, which impairs the accuracy of current prognostic tools. This study aims to develop a novel prognostic model to enhance risk assessment for AR-DLBCL. We retrospectively analyzed 90 AR-DLBCL cases using univariate and multivariate analyses to identify clinical factors affecting overall survival (OS) and progression-free survival (PFS). A nomogram was created based on independent OS risk factors. The cohort had a median age of 43 years (range: 22-75), with 96.5% male patients. The median follow-up was 30 months (range: 1-139), with 5-year OS and PFS rates of 60.7% and 58.7%, respectively. Key prognostic factors for OS included decreased absolute lymphocyte count (p = 0.002), extranodal involvement (p = 0.005), reduced hemoglobin (Hb) levels (p = 0.004), Epstein-Barr virus (EBV) infection (p = 0.005), and elevated lactate dehydrogenase (LDH) levels (p = 0.018). The nomogram demonstrated robust predictive performance, with a 5-year receiver operating characteristic curve area under the curve of 0.949. Its C-index of 0.849 surpassed the International Prognostic Index (IPI) and age-adjusted IPI (aaIPI), which had C-index of 0.708 and 0.693, respectively. Additionally, the nomogram identified significant OS differences among low risk, intermediate-low risk, intermediate-high risk, and high-risk groups, with 5-year survival rates of 100%, 88%, 56%, and 8%, respectively. The model offers a personalized risk assessment for AR-DLBCL patients, facilitating precise prognosis prediction and informing individualized treatment strategies.
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Affiliation(s)
- Ying Liang
- Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Jing Chang
- Department of Pathology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Yuxue Gao
- Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Ling Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xue Chen
- Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Caopei Zheng
- Department of Respiratory and Critical Care Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Yuqing Sun
- Department of Respiratory and Critical Care Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xiuqun Zhang
- Department of Hematology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Caiping Guo
- Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
| | - Yulin Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, China.
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Sun Z, Yang T, Ding C, Shi Y, Cheng L, Jia Q, Tao W. Clinical scoring systems, molecular subtypes and baseline [ 18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma. Cancer Imaging 2024; 24:168. [PMID: 39696503 DOI: 10.1186/s40644-024-00810-8] [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: 02/26/2024] [Accepted: 11/28/2024] [Indexed: 12/20/2024] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a highly heterogeneous hematological malignancy resulting in a range of outcomes, and the early prediction of these outcomes has important implications for patient management. Clinical scoring systems provide the most commonly used prognostic evaluation criteria, and the value of genetic testing has also been confirmed by in-depth research on molecular typing. [18F]-fluorodeoxyglucose positron emission tomography / computed tomography ([18F]FDG PET/CT) is an invaluable tool for predicting DLBCL progression. Conventional baseline image-based parameters and machine learning models have been used in prognostic FDG PET/CT studies of DLBCL; however, numerous studies have shown that combinations of baseline clinical scoring systems, molecular subtypes, and parameters and models based on baseline FDG PET/CT image may provide better predictions of patient outcomes and aid clinical decision-making in patients with DLBCL.
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Affiliation(s)
- Zhuxu Sun
- Department of Nuclear Medicine, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China
| | - Tianshuo Yang
- Department of Nuclear Medicine, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China
| | - Chongyang Ding
- Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuye Shi
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China
| | - Luyi Cheng
- Department of Nuclear Medicine, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China
| | - Qingshen Jia
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy, Tianjin Central Hospital of Gynecology Obstetrics, Tianjin Key Laboratory of Human Development and Reproductive Regulation, Nankai University, Tianjin, China
| | - Weijing Tao
- Department of Nuclear Medicine, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
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Liu J, Gao F, Zhang T, Wang J, Li Z, Liu L, Zhou H, Zhang X, Sun X, Zhang W, Xu B, Su L, Wen S, Tao R, Bai O, Zou L, Li L, Qiu L, Qian Z, Zhou S, Song Y, Zhang Q, Wang X, Zhang H. Time to lymphoma treatment within 24 months in 'watch and wait' follicular lymphoma is associated with inferior outcomes: A multicentre analysis. Br J Haematol 2024; 205:1815-1824. [PMID: 39327747 DOI: 10.1111/bjh.19770] [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] [Received: 05/10/2024] [Accepted: 09/04/2024] [Indexed: 09/28/2024]
Abstract
Some 'watch and wait' (W&W) FL patients suffer from rapid progression in a short term. Herein, we sought to identify these patients and also develop a risk score to screen them at diagnosis. Between 2008 and 2022, a total of 411 FL patients managed by the W&W strategy from 16 cancer centres were retrospectively enrolled in this study, and their time to lymphoma treatment (TLT) and progression-free survival (PFS) were evaluated. Thirty-five percent of W&W FL patients experienced TLT within 24 months (TLT24) after diagnosis. Their 5-year PFS rate was significantly lower than those without treatment at 24 months (62.3% vs. 89.5%). In multivariable analysis, five factors were identified as independent predictors of TLT24: stages III-IV, β2 microglobulin ≥3 mg/L, lymphocyte-to-monocyte ratio <3.8, bone marrow involvement and spleen enlargement (above umbilical line). Their AUCs for TLT24 were 0.76 (95% CI, 0.70-0.82) in the training cohort and 0.76 (95% CI, 0.67-0.85) in the validation cohort respectively. Risk groups were also associated with PFS (p < 0.001). In FL patients initially managed by W&W, TLT24 was associated with poor outcomes. This multivariable model helps screening for predicting TLT24, which may be useful to identify candidates for early interventional treatment.
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Affiliation(s)
- Jing Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, State key Laboratory of Druggability Evaluation and Systematic Translational Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
- Department of Hematology, Cangzhou Central Hospital, Cangzhou, China
| | - Fenghua Gao
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, State key Laboratory of Druggability Evaluation and Systematic Translational Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
- Department of Hematology, Peking University Third Hospital, Beijing, China
| | - Tingting Zhang
- Cancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
| | - Jiesong Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, State key Laboratory of Druggability Evaluation and Systematic Translational Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
- Department of Lymphoma and Head and Neck Oncology, College of Clinical Medicine for Oncology, Fujian Medical University, Fuzhou, China
| | - Zhiming Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Lihong Liu
- Department of Hematology, The Fourth Hospital of Hebei Medical University (Hebei Tumor Hospital), Shijiazhuang, China
| | - Hui Zhou
- Department of Lymphoma and Hematology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Xudong Zhang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiuhua Sun
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Wei Zhang
- Department of Hematology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Bing Xu
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, China
| | - Liping Su
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Shujuan Wen
- Department of Lymphoma, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, Xinjiang, China
| | - Rong Tao
- Department of Lymphoma, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ou Bai
- Department of Hematology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Liqun Zou
- Department of Medical Oncology, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
| | - Lanfang Li
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, State key Laboratory of Druggability Evaluation and Systematic Translational Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Lihua Qiu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, State key Laboratory of Druggability Evaluation and Systematic Translational Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Zhengzi Qian
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, State key Laboratory of Druggability Evaluation and Systematic Translational Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Shiyong Zhou
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, State key Laboratory of Druggability Evaluation and Systematic Translational Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Yuqin Song
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
| | - Qingyuan Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Heilongjiang Cancer Prevention and Treatment Institute, Harbin, Heilongjiang Province, China
| | - Xianhuo Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, State key Laboratory of Druggability Evaluation and Systematic Translational Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Huilai Zhang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, State key Laboratory of Druggability Evaluation and Systematic Translational Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
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Shi X, Wu C, Deng W, Wu J. Prognostic value of lactate dehydrogenase to absolute lymphocyte count ratio and albumin to fibrinogen ratio in diffuse large B-cell lymphoma. Medicine (Baltimore) 2024; 103:e39097. [PMID: 39058821 PMCID: PMC11272371 DOI: 10.1097/md.0000000000039097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
With the continuous improvement of treatment strategy, the prognostic value of international prognostic index (IPI) alone is limited for diffuse large B-cell lymphoma (DLBCL). Our study aims to explore the effect of lactate dehydrogenase (LDH)to absolute lymphocyte count (ALC) ratio (LAR) and albumin to fibrinogen ratio (AFR) on the prognosis of patients with DLBCL. The venous blood LDH, ALC, albumin and fibrinogen within 1 week before the first chemotherapy in 74 DLBCL patients were collected to calculate the LAR and AFR values. The impact of LAR and AFR on the progression-free survival (PFS) of patients with DLBCL was studied by the survival analysis. The area under the receiver operating characteristic curve (AUC) and concordance index (C-index) were used to analyze the predictive efficiency of each model for the PFS of DLBCL patients. Cox univariate analysis suggested that elevated LAR (P < .001) and decreased AFR (P < .001) were risk factors for PFS in DLBCL patients. Multivariate analysis revealed that LAR (P < .001) and AFR (P = .004) were 2 independent prognostic parameters. The AUC values of IPI, AFR + IPI, LAR + IPI and AFR + LAR + IPI to predict the PFS of DLBCL patients were 0.806 (95%CI 0.707-0.905, P < .001), 0.839 (95%CI 0.747-0.932, P < .001), 0.851 (95%CI 0.764-0.938, P < .001), and 0.869 (95%CI 0.787-0.952, P < .001), respectively. The C-index values of above 4 models were 0.802 (95%CI 0.629-0.975, P < .001), 0.842 (95% CI 0.735-0.949, P < .001), 0.846 (95%CI 0.716-0.976, P < .001), and 0.864 (95%CI 0.781-0.941, P < .001), respectively. The results suggest that both LAR and AFR are independent prognostic factors for PFS in DLBCL patients. Furthermore, their combination with IPI has better predictive efficiency for the prognosis of DLBCL patients.
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Affiliation(s)
- Xuebing Shi
- Department of Thoracic Medical Oncology, Tongling People’s Hospital, Tongling, Anhui Province, P.R. China
| | - Changping Wu
- Department of Medical Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, P.R. China
| | - Wenxia Deng
- Department of Thoracic Medical Oncology, Tongling People’s Hospital, Tongling, Anhui Province, P.R. China
| | - Jing Wu
- Department of Thoracic Medical Oncology, Tongling People’s Hospital, Tongling, Anhui Province, P.R. China
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Jelicic J, Juul‐Jensen K, Bukumiric Z, Runason Simonsen M, Roost Clausen M, Ludvigsen Al‐Mashhadi A, Schou Pedersen R, Bjørn Poulsen C, Ortved Gang A, Brown P, El‐Galaly TC, Larsen TS. Revisiting beta-2 microglobulin as a prognostic marker in diffuse large B-cell lymphoma. Cancer Med 2024; 13:e7239. [PMID: 38888359 PMCID: PMC11184650 DOI: 10.1002/cam4.7239] [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: 01/12/2024] [Revised: 04/20/2024] [Accepted: 04/23/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Several clinical prognostic models for diffuse large B-cell lymphoma (DLBCL) have been proposed, including the most commonly used International Prognostic Index (IPI), the National Comprehensive Cancer Network IPI (NCCN-IPI), and models incorporating beta-2 microglobulin (β2M). However, the role of β2M in DLBCL patients is not fully understood. METHODS We identified 6075 patients with newly diagnosed DLBCL treated with immunochemotherapy registered in the Danish Lymphoma Registry. RESULTS A total of 3232 patients had data available to calculate risk scores from each of the nine considered risk models for DLBCL, including a model developed from our population. Three of four models with β2M and NCCN-IPI performed better than the International Prognostic Indexes (IPI, age-adjusted IPI, and revised IPI). Five-year overall survival for high- and low-risk patients were 43.6% and 86.4% for IPI and 34.9% and 96.2% for NCCN-IPI. In univariate analysis, higher levels of β2M were associated with inferior survival, higher tumor burden (advanced clinical stage and bulky disease), previous malignancy and increased age, and creatinine levels. Furthermore, we developed a model (β2M-NCCN-IPI) by adding β2M to NCCN-IPI (c-index 0.708) with improved discriminatory ability compared to NCCN-IPI (c-index 0.698, p < 0.05) and 5-year OS of 33.1%, 56.2%, 82.4%, and 96.4% in the high, high-intermediate, low-intermediate and low-risk group, respectively. CONCLUSION International Prognostic Indices, except for NCCN-IPI, fail to accurately discriminate risk groups in the rituximab era. β2M, a readily available marker, could improve the discriminatory performance of NCCN-IPI and should be re-evaluated in the development setting of future models for DLBCL.
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MESH Headings
- Humans
- Lymphoma, Large B-Cell, Diffuse/drug therapy
- Lymphoma, Large B-Cell, Diffuse/mortality
- Lymphoma, Large B-Cell, Diffuse/diagnosis
- Lymphoma, Large B-Cell, Diffuse/blood
- beta 2-Microglobulin/blood
- Male
- Female
- Prognosis
- Middle Aged
- Aged
- Biomarkers, Tumor/blood
- Adult
- Aged, 80 and over
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Young Adult
- Denmark/epidemiology
- Adolescent
- Neoplasm Staging
- Registries
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Affiliation(s)
- Jelena Jelicic
- Department of HematologyOdense University HospitalOdenseDenmark
| | | | - Zoran Bukumiric
- Faculty of MedicineInstitute for Medical Statistics and Informatics, University of BelgradeBelgradeSerbia
| | - Mikkel Runason Simonsen
- Department of Hematology, Clinical Cancer Research CenterAalborg University HospitalAalborgDenmark
| | | | - Ahmed Ludvigsen Al‐Mashhadi
- Department of Hematology, Clinical Cancer Research CenterAalborg University HospitalAalborgDenmark
- Department of HematologyAarhus University HospitalAarhusDenmark
| | | | - Christian Bjørn Poulsen
- Department of HematologyZealand University HospitalRoskildeDenmark
- Department of Clinical MedicineUniversity of CopenhagenKobenhavnDenmark
| | - Anne Ortved Gang
- Department of Clinical MedicineUniversity of CopenhagenKobenhavnDenmark
- Department of HematologyCopenhagen University Hospital, RigshospitaletCopenhagenDenmark
| | - Peter Brown
- Department of Clinical MedicineUniversity of CopenhagenKobenhavnDenmark
- Department of HematologyCopenhagen University Hospital, RigshospitaletCopenhagenDenmark
| | - Tarec Christoffer El‐Galaly
- Department of HematologyOdense University HospitalOdenseDenmark
- Department of Hematology, Clinical Cancer Research CenterAalborg University HospitalAalborgDenmark
| | - Thomas Stauffer Larsen
- Department of HematologyOdense University HospitalOdenseDenmark
- Department of Clinical ResearchUniversity of Southern DenmarkOdenseDenmark
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Yamasaki S. Appropriate Treatment Intensity for Diffuse Large B-Cell Lymphoma in the Older Population: A Review of the Literature. Hematol Rep 2024; 16:317-330. [PMID: 38921180 PMCID: PMC11204029 DOI: 10.3390/hematolrep16020032] [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] [Received: 03/29/2024] [Revised: 05/13/2024] [Accepted: 05/22/2024] [Indexed: 06/27/2024] Open
Abstract
Most patients with diffuse large B-cell lymphoma (DLBCL) are >65 years of age, with the number of patients expected to increase in the coming years. A comprehensive geriatric assessment that carefully evaluates fitness status and comorbidities is essential for selecting the appropriate treatment intensity. Although generally healthy patients or those <80 years of age may benefit from standard immunochemotherapy, unfit/frail patients or patients >80 years old may require reduced-intensity chemotherapy or less-toxic drugs. Some new drugs are currently being tested as single or combined agents for first-line treatment, aiming to improve the outcomes of conventional chemotherapy. This review systematically collates and discusses the outcomes associated with the use of immunochemotherapy in older patients with DLBCL, as well as considering the impact of full-dose immunochemotherapy on quality of life in older and frail patients, summarizing the rationale for reduced dosing in the older population, and presenting recommendations for selecting patients likely to benefit from reduced dosing. If preliminary efficacy and safety data are confirmed in future clinical trials, non-chemotherapy-based immunotherapy approaches could become an alternative potentially curative option in frail patients and those >80 years of age with DLBCL.
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Affiliation(s)
- Satoshi Yamasaki
- Department of Hematology, St. Mary’s Hospital, 422 Tsubukuhonmachi, Kurume 830-8543, Japan; ; Tel.: +81-942-35-3322; Fax: +81-9442-34-3115
- Department of Internal Medicine, Kyushu University Beppu Hospital, Beppu 874-0838, Japan
- Department of Hematology and Clinical Research Institute, National Hospital Organization Kyushu Medical Center, Fukuoka 810-0065, Japan
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Chen J, Wu Y, Zhao H, Ruan G, Qin S. Ratio of hemoglobin to red cell distribution width: an inflammatory predictor of survival in AIDS-related DLBCL. Front Immunol 2024; 15:1354325. [PMID: 38426083 PMCID: PMC10901994 DOI: 10.3389/fimmu.2024.1354325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 01/30/2024] [Indexed: 03/02/2024] Open
Abstract
Background Despite the introduction of combined antiretroviral therapy, AIDS-related diffuse large B-cell lymphoma (AR-DLBCL) remains a prominent cancer among individuals living with HIV with a suboptimal prognosis. Identifying independent prognostic markers could improve risk stratification. Methods In this multicenter retrospective cohort study spanning years 2011 to 2019, 153 eligible patients with AR-DLBCL were examined. Overall survival (OS) factors were analyzed using Kaplan-Meier curves, and univariate and multivariate Cox proportional hazards models. The discriminatory ability of the risk score was evaluated by examining the area under the receiver operating characteristic curve. Results The study included 153 patients with a median age of 47 years (interquartile range [IQR] 39-58), 83.7% of whom were men. The median follow-up was 12.0 months (95% confidence interval [CI], 8.5-15.5), with an OS rate of 35.9%. Among the potential inflammatory markers examined, only the ratio of hemoglobin (g/dL) to red cell distribution width (%) (Hb/RDW) emerged as an independent prognostic parameter for OS in the training (hazard ratios [HR] = 2.645, 95% CI = 1.267-5.522, P = 0.010) and validation cohorts (HR = 2.645, 95% CI = 1.267-5.522, P = 0.010). A lower Hb/RDW ratio was strongly correlated with adverse clinical factors, including advanced Ann Arbor stage, increased extranodal sites, reduced CD4 count, elevated lactate dehydrogenase levels, poorer Eastern Cooperative Oncology Group performance status (ECOG PS), and a higher International Prognostic Index (IPI) score. The addition of the Hb/RDW ratio to the IPI produced a highly discriminatory prognostic composite score, termed Hb/RDW-IPI. Conclusion We identified a cost-effective and readily available inflammatory biomarker, the Hb/RDW ratio, as an independent predictor of outcomes in patients with AR-DLBCL. Its integration into the IPI score partially improves prognostic accuracy.
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Affiliation(s)
- Juanjuan Chen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Guangdong Institute of Hepatology, Guangzhou, China
| | - Yihua Wu
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Guangdong Institute of Hepatology, Guangzhou, China
| | - Han Zhao
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Provincial Clinical Research Center for Viral Hepatitis, Guangdong Institute of Hepatology, Guangzhou, China
- Infectious Diseases Center, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Guangjing Ruan
- Guangxi AIDS Clinical Treatment Center, The Fourth People’s Hospital of Nanning, Nanning, China
| | - Shanfang Qin
- Guangxi AIDS Diagnosis and Treatment Quality Control Center, Chest Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, China
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8
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Wu W, Zhao L, Wang Y, Chen P, Yuan X, Miao L, Zhu Y, Mao J, Cai Z, Ji Y, Wang L, Jia T. Prognostic value of the peripheral blood lymphocyte/monocyte ratio combined with 18F-FDG PET/CT in patients with diffuse large B-cell lymphoma. Curr Probl Cancer 2024; 48:101066. [PMID: 38364336 DOI: 10.1016/j.currproblcancer.2024.101066] [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: 07/26/2023] [Revised: 12/18/2023] [Accepted: 01/30/2024] [Indexed: 02/18/2024]
Abstract
OBJECTIVE To explore the prognostic value of the peripheral blood lymphocyte/monocyte ratio (LMR) combined with 18F-FDG PET/CT for diffuse large B-cell lymphoma (DLBCL). METHODS The clinical data of 203 patients with primary DLBCL who were hospitalized to the First People's Hospital of Lianyungang between January 2017 and December 2022 were retrospectively analyzed. Before and after three courses of treatment, PET/CT was performed on forty DLBCL patients. The subject operating characteristic (ROC) curve has been employed to determine the most effective LMR cutoff points. According to the criteria for assessing the efficacy of Lugano lymphoma, the PET/CT findings after 3 courses of treatment were specified as complete remission (CR), partial remission (PR), stable disease (SD) and disease progression (PD). The CR group, PR+SD group, and PD group were the three groups created from the four outcomes. Results were analyzed using the Cox proportional risk model, the Kaplan-Meier method (K-M), and the log-rank test. RESULTS An optimal cutoff point of 3.00 for the LMR in 203 patients was determined by the SPSS 26 software ROC curve. When LMR≥3.00, the 1-year, 3-year, and 5-year OS (Overall Survival) rates are 98%, 88%, and 64% respectively, and the PFS (Progression-free Survival) rates are 90%, 75%, and 56% respectively. When LMR <3.00, the 1-year, 3-year, and 5-year OS rates are 96%, 72%, and 28% respectively, and the PFS rates are 83%, 60%, and 28% respectively. A lower LMR was substantially related with shorter OS, and PFS, according to a K-M survival analysis (P<0.005). LMR<3.00 was an independent predictor of OS, based on a multifactorial Cox analysis (P=0.037). K-M survival analysis of the 18F-FDG PET/CT results of 40 patients revealed that both OS and PFS were statistically significant (P<0.001). Patients were separated into 3 groups combining LMR and 18F-FDG PET/CT: PET/CT CR patients with LMR≥3.00, PET/CT PD patients with LMR<3.00, and others. The Kaplan-Meier analysis revealed that there were significant differences in OS and PFS for each of the three groups (P<0.001). ROC curves showed that the area under the curve (AUC) of the combined testing of the two was 0.735, and the combined testing of the two was better compared to testing alone (PET/CT AUC=0.535, LMR AUC=0.567). This indicates that combining both PET/CT and LMR is a favorable prediction for DLBCL. CONCLUSION A decreased LMR at initial diagnosis suggests an unfavorable prognosis for DLBCL patients; For patients with DLBCL, combining 18F-FDG PET/CT and the LMR has a better predictive value.
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Affiliation(s)
- Wenke Wu
- Jinzhou Medical University, Jinzhou, Liaoning 121001, China; Department of Hematology, Postgraduate Training Base of the Lian Yungang First People's Hospital of Jinzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Lidong Zhao
- Department of Hematology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Ying Wang
- Department of Hematology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Peng Chen
- Department of Nuclear Medicine, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Xiaoshuai Yuan
- Department of Nuclear Medicine, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Lei Miao
- Department of Hematology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Yuanxin Zhu
- Department of Hematology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Jianping Mao
- Department of Hematology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Zhimei Cai
- Department of Hematology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Yajun Ji
- Department of Oncology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Lei Wang
- Department of Oncology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China
| | - Tao Jia
- Department of Hematology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222000, China.
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9
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Vassilakopoulos TP, Arapaki M, Diamantopoulos PT, Liaskas A, Panitsas F, Siakantaris MP, Dimou M, Kokoris SI, Sachanas S, Belia M, Chatzidimitriou C, Konstantinou EA, Asimakopoulos JV, Petevi K, Boutsikas G, Kanellopoulos A, Piperidou A, Lefaki ME, Georgopoulou A, Kopsaftopoulou A, Zerzi K, Drandakis I, Dimopoulou MN, Kyrtsonis MC, Tsaftaridis P, Plata E, Variamis E, Tsourouflis G, Kontopidou FN, Konstantopoulos K, Pangalis GA, Panayiotidis P, Angelopoulou MK. Prognostic Impact of Serum β 2-Microglobulin Levels in Hodgkin Lymphoma Treated with ABVD or Equivalent Regimens: A Comprehensive Analysis of 915 Patients. Cancers (Basel) 2024; 16:238. [PMID: 38254729 PMCID: PMC10813286 DOI: 10.3390/cancers16020238] [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: 12/04/2023] [Revised: 12/26/2023] [Accepted: 12/29/2023] [Indexed: 01/24/2024] Open
Abstract
The significance of serum beta-2 microglobulin (sβ2m) in Hodgkin lymphoma (HL) is controversial. We analyzed 915 patients with HL, who were treated with ABVD or equivalent regimens with or without radiotherapy. Sβ2m levels were measured by a radioimmunoassay (upper normal limit 2.4 mg/L). Sequential cutoffs (1.8-3.0 by 0.1 mg/L increments, 3.5 and 4.0 mg/L) were tested along with ROC analysis. The median sβ2m levels were 2.20 mg/L and were elevated (>2.4 mg/L) in 383/915 patients (41.9%). Higher sβ2m was associated with inferior freedom from progression (FFP) at all tested cutoffs. The best cutoff was 2.0 mg/L (10-year FFP 83% vs. 70%, p = 0.001), which performed better than the 2.4 mg/L cutoff ("normal versus high"). In multivariate analysis, sβ2m > 2.0 mg/L was an independent adverse prognostic factor in the whole patient population. In multivariate overall survival analysis, sβ2m levels were predictive at 2.0 mg/L cutoff in the whole patient population and in advanced stages. Similarly, sβ2m > 2.0 mg/L independently predicted inferior HL-specific survival in the whole patient population. Our data suggest that higher sβ2m is an independent predictor of outcome in HL but the optimal cutoff lies within the normal limits (i.e., at 2.0 mg/L) in this predominantly young patient population, performing much better than a "normal versus high" cutoff set at 2.4 mg/L.
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Affiliation(s)
- Theodoros P. Vassilakopoulos
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Maria Arapaki
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Panagiotis T. Diamantopoulos
- First Department of Internal Medicine, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (P.T.D.)
| | - Athanasios Liaskas
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Fotios Panitsas
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Marina P. Siakantaris
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Maria Dimou
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Styliani I. Kokoris
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Sotirios Sachanas
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Marina Belia
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Chrysovalantou Chatzidimitriou
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Elianna A. Konstantinou
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - John V. Asimakopoulos
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Kyriaki Petevi
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - George Boutsikas
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Alexandros Kanellopoulos
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Alexia Piperidou
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Maria-Ekaterini Lefaki
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Angeliki Georgopoulou
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Anastasia Kopsaftopoulou
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Kalliopi Zerzi
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Ioannis Drandakis
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Maria N. Dimopoulou
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Marie-Christine Kyrtsonis
- First Department of Internal Medicine Propedeutic, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece
| | - Panayiotis Tsaftaridis
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Eleni Plata
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Eleni Variamis
- First Department of Internal Medicine, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (P.T.D.)
| | - Gerassimos Tsourouflis
- Second Department of Surgery Propedeutic, National and Kapodistrian University of Athens, Laikon General Hospital, 11527Athens, Greece
| | - Flora N. Kontopidou
- Second Department of Internal Medicine, National and Kapodistrian University of Athens, Ippokration General Hospital, 11527 Athens, Greece;
| | - Kostas Konstantopoulos
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Gerassimos A. Pangalis
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Panayiotis Panayiotidis
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
| | - Maria K. Angelopoulou
- Department of Haematology and Bone Marrow Transplantation, National and Kapodistrian University of Athens, School of Medicine, Laikon General Hospital, 17 Ag. Thoma Str., 11527 Athens, Greece; (M.A.); (M.D.); (M.B.); (C.C.); (E.A.K.); (J.V.A.); (A.K.); (P.T.); (M.K.A.)
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Zhong Q, Chen H, Chen D, Qin Y, He X, Yang Y, Yang J, Liu P, Zhou S, Yang S, Zhou Y, Tang L, Chen C, Shi Y. Development and validation of a novel risk stratification model and a survival rate calculator for diffuse large B-cell lymphoma in the rituximab era: a multi-institutional cohort study. Ann Hematol 2024; 103:211-226. [PMID: 37861735 DOI: 10.1007/s00277-023-05491-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 09/30/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND This study aimed to develop and validate a novel risk stratification model and a web-based survival rate calculator to improve discriminative and predictive accuracy for diffuse large B-cell lymphoma (DLBCL) in the rituximab era. METHODS We retrospectively collected pre-treatment data from 873 primary DLBCL patients who received R-CHOP-based immunochemotherapy regimens at the Cancer Hospital, Chinese Academy of Medical Sciences, from January 1, 2005, to December 31, 2018. An independent cohort of 175 DLBCL patients from Fujian Cancer Hospital was used for external validation. FINDINGS Age, ECOG PS, number of extranodal sites, Ann Arbor stage, bulky disease, and LDH levels were screened to develop the nomogram and web-based survival rate calculator. The C-index of the nomogram in the training, internal validation, and external validation cohorts was 0.761, 0.758, and 0.768, respectively. The risk stratification model generated based on the nomogram effectively stratified patients into three distinct risk groups. K-M survival curves demonstrated that the novel risk stratification model exhibited a superior level of predictive accuracy compared to IPI, R-IPI, and NCCN-IPI both in training and two validation cohorts. Additionally, the area under the curve (AUC) value of the novel model (0.763) for predicting 5-year overall survival rates was higher than those of IPI (0.749), R-IPI (0.725), and NCCN-IPI (0.727) in the training cohort. Similar results were observed in both internal and external validation cohort. CONCLUSIONS In conclusion, we have successfully developed and validated a novel risk stratification model and a web-based survival rate calculator that demonstrated superior discriminative and predictive accuracy compared to IPI, R-IPI, and NCCN-IPI in the rituximab era.
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Affiliation(s)
- Qiaofeng Zhong
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fujian Provincial Key Laboratory of Translational Cancer Medicine, 420 Fuma Road, Fuzhou, 350014, China
- Interdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou, China
| | - Haizhu Chen
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Daoguang Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 420 Fuma Road, Fuzhou, 350014, China
| | - Yan Qin
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Xiaohui He
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yu Yang
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 420 Fuma Road, Fuzhou, 350014, China
| | - Jianliang Yang
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Peng Liu
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Shengyu Zhou
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Sheng Yang
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yu Zhou
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Le Tang
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Chuanben Chen
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 420 Fuma Road, Fuzhou, 350014, China.
| | - 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
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11
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Rahchamani M, Sedghi M, Hakimi A, Nejatianfar M, Javaheri T, Tavakoli R, Ahmadi R, Makarem M, Azmi‐Naei N, Zahmatkesh Sangani S, Kamandi N, Soleimanian A, Shavaleh R, Foogerdi M, Rahmani K. Prognostic value of red blood cell distribution width and D-Dimer in diffuse large B-cell lymphoma: Systematic review and meta-analysis. Cancer Rep (Hoboken) 2024; 7:e1936. [PMID: 37997648 PMCID: PMC10809198 DOI: 10.1002/cnr2.1936] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/29/2023] [Accepted: 11/12/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND The significant role of red blood cell distribution width (RDW) and D-Dimer as prognostic factors in patients with some blood malignancies has been reported recently. AIM We designed and performed a meta-analysis to investigate the prognostic roles of RDW and D-Dimer in subjects with diffuse large B-cell lymphoma (DLBCL). MATERIALS AND METHODS We systematically reviewed PubMed-Medline, SCOPUS, EMBASE, Web of Science Core Collection, and Google Scholar up to the present to look for publications on prognostic effects of RDW and D-Dimer in DLBCL patients. For investigation of the associations between RDW and D-Dimer with the overall survival (OS) and progression-free survival (PFS) of the DLBCL cases, hazard ratio (HR) with 95% confidence intervals (CIs) was used. RESULTS We included 13 eligible studies in the present meta-analysis. The results of pooled analysis showed that increased levels of RDW was related to poor OS (HR = 2.01, 95% CI: 1.62-2.48, p value <.01, I2 = 0%) and poor PFS (HR = 1.52, 95% CI: 1.24-1.85, p value <.01, I2 = 16%) among the DLBCL patients. Similarly, a significant relationship was found between increased D-Dimer and poor OS (HR = 2.30, 95% CI: 1.03-5.14, p value <.05, I2 = 95%) of the DLBCL patients as well. In addition, there was no significant heterogeneity in OS (p value H = 0.65) and PFS (p value H = 0.31) related to RDW among studies included in the meta-analysis. CONCLUSION Our finding clearly confirmed that elevated RDW levels and D-Dimer were associated with adverse OS and PFS in DLBCL.
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Affiliation(s)
- Maryam Rahchamani
- Department of Internal Medicine, Faculty of MedicineTehran University of Medical SciencesTehranIran
| | - Mohammad Sedghi
- Molecular and Cellular Biology, Department of Biology, Yadegar‐e‐Imam Khomeini (RAH) Shahr‐e‐Ray BranchIslamic Azad UniversityTehranIran
| | - Ali Hakimi
- Department of Clinical BiochemistryMashhad University of Medical SciencesMashhadIran
| | - Mahdi Nejatianfar
- Department of Research and DevelopmentOrganic Chemistry Hila Pharmaceutical CoMashhadIran
| | - Tohid Javaheri
- Department of Genetics, Young Research and Elites ClubIslamic Azad University, Mashhad BranchMashhadIran
| | - Reza Tavakoli
- Department of RadiologyArak University of Medical SciencesArakIran
| | - Ramtin Ahmadi
- Cellular and MolecularIslamic Azad University of MashhadMashhadIran
| | - Mansoureh Makarem
- Health Vice‐ChancellorTorbat‐e Jam Faculty of Medical SciencesTorbat‐e JamIran
| | - Nazanin Azmi‐Naei
- Department of Epidemiology, School of Public HealthShahroud University of Medical SciencesShahroudIran
| | | | - Neda Kamandi
- Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | | | - Rasoul Shavaleh
- Department of Epidemiology, School of Public HealthIran University of Medical SciencesTehranIran
| | - Molood Foogerdi
- Department of Emergency Medicine, Faculty of MedicineBirgand University of Medical SciencesBirjandIran
| | - Kazem Rahmani
- Department of Epidemiology, School of Public HealthIran University of Medical SciencesTehranIran
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12
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Peng X, Yu S, Kou Y, Dang J, Wu P, Yao Y, Shen J, Liu Y, Wang X, Cheng Z. Prediction nomogram based on 18F-FDG PET/CT and clinical parameters for patients with diffuse large B-cell lymphoma. Ann Hematol 2023; 102:3115-3124. [PMID: 37400729 DOI: 10.1007/s00277-023-05336-w] [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] [Received: 09/23/2022] [Accepted: 06/20/2023] [Indexed: 07/05/2023]
Abstract
The objective of this study was to develop a nomogram including parameters assessed by 18F-FDG PET/CT and clinical parameters for patients with diffuse large B-cell lymphoma (DLBCL) to predict progression-free survival (PFS). A total of 181 patients with pathologically diagnosed DLBCL at Sichuan Cancer Hospital and Institute from March 2015 to December 2020 were enrolled in this retrospective study. The area under the receiver operating characteristic (ROC) curve (AUC) was used to calculate the optimal cutoff values of the semiquantitative parameters (SUVmax, TLG, MTV, and Dmax) for PFS. A nomogram was constructed according to multivariate Cox proportional hazards regression. The predictive and discriminatory capacities of the nomogram were then measured using the concordance index (C-index), calibration plots, and Kaplan-Meier curves. The predictive and discriminatory capacities of the nomogram and the International Prognostic Index of the National Comprehensive Cancer Network (NCCN-IPI) were compared via the C-index and AUC. Multivariate analysis demonstrated that male gender and pretreatment Ann Arbor stage III-IV, non-GCB, elevated lactate dehydrogenase (LDH), number of extranodal organ involvement (Neo)>1, MTV≥152.8 cm3, and Dmax ≥53.9 cm were associated with unfavorable PFS (all p<0.05). The nomogram, including gender, Ann Arbor stage, pathology type, Neo, LDH levels, MTV, and Dmax, showed good prediction accuracy, with a C-index of 0.760 (95% CI: 0.727-0.793), which was higher than that of NCCN-IPI (0.710; 95% CI: 0.669-751). The calibration plots for 2-year demonstrated good consistency between the predicted and observed probabilities for survival time. We established a nomogram including MTV, Dmax, and several clinical parameters to predict the PFS of patients with DLBCL, and the nomogram showed better predictability and higher accuracy than NCCN-IPI.
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Affiliation(s)
- Xiaojuan Peng
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
- North Sichuan Medical College, Nanchong, China
| | - Sisi Yu
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Ying Kou
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Jun Dang
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
- North Sichuan Medical College, Nanchong, China
| | - Ping Wu
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Yutang Yao
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Jiaqi Shen
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Yongli Liu
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaoxiong Wang
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhuzhong Cheng
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
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13
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Chen NC, Chang H, Kao HW, Ou CW, Kuo MC, Wang PN, Lin TL, Wu JH, Hung YS, Su YJ, Ong YC, Shih HJ. Beta2-microglobulin is a valuable marker and identifies a poor-prognosis subgroup among intermediate-risk patients with diffuse large B cell lymphoma. Clin Exp Med 2023; 23:3759-3766. [PMID: 37086332 DOI: 10.1007/s10238-023-01061-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/29/2023] [Indexed: 04/23/2023]
Abstract
Prognosis of diffuse large B cell lymphoma (DLBCL) can be predicted by various factors. The most widely used tool for prediction is the international prognostic index (IPI). β2-microglobulin is a tumor marker commonly used in hematological malignancies. β2-microglobulin is well correlated with outcome of DLBCL. It has been used as an adjunctive tool in some scoring systems for prognostication of DLBCL. In this study, we collected data of patients with diagnosis of DLBCL between 2015 and 2019 in our institute. For each patient, IPI was calculated according to published literature. At diagnosis, serum levels of β2-microglobulin were measured in the clinical laboratory and the results were retrieved from medical records. A total of 516 patients (269 male and 247 female) were enrolled for retrospective analysis. The median age was 64 (range 22-96). The median follow-up period was 32.2 months. The median level of β2-microglobulin was 2319 μg/L (normal range < 2366 μg/L in the clinical laboratory). Level of β2-microglobulin was significantly different between survivors and patients who succumbed to the disease. β2-microglobulin level was correlated with tumor stage, extranodal involvement, B symptoms and IPI, suggesting that it may be a good surrogate marker for disease severity and outcome prediction. We selected the intermediate-risk patients for further analysis. Patients with intermediate-risk IPI and high β2-microglobulin levels have overall survival comparable to patients with high-risk IPI, suggesting an important role of β2-microglobulin in subdivision of DLBCL patients. In conclusion, β2-microglobulin levels correlated with outcome of DLBCL. It may be used independently as a prognostic factor. Subdivision of patients with intermediate-risk IPI may identify a group of high-risk patients, which can be helpful in refining plans of treatment and follow-up.
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Affiliation(s)
- Ning-Chun Chen
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Hung Chang
- School of Medicine, Chang Gung University, Taoyuan, Taiwan.
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan.
- Center of Hemophilia and Coagulation Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan.
| | - Hsiao-Wen Kao
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Che-Wei Ou
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Ming-Chung Kuo
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Po-Nan Wang
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Tung-Liang Lin
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Jin-Hou Wu
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Yu-Shin Hung
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Yi-Jiun Su
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Yuen-Chin Ong
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
| | - Hsuan-Jen Shih
- Division of Hematology-Oncology, Chang Gung Memorial Hospital, 5 Fu-Shing Street, Kweishan, Taoyuan, 333, Taiwan
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14
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Huguet M, Navarro JT, Moltó J, Ribera JM, Tapia G. Diffuse Large B-Cell Lymphoma in the HIV Setting. Cancers (Basel) 2023; 15:3191. [PMID: 37370801 DOI: 10.3390/cancers15123191] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/11/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Despite the widespread use of combined antiretroviral therapy (cART) and the subsequent decrease in AIDS-defining cancers, HIV-related lymphomas remain a leading cause of morbidity and mortality in people with HIV (PWH). Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma (NHL) subtype in PWH. This lymphoma is a heterogeneous disease including morphological variants and molecular subtypes according to the cell of origin or the mutation profile. In the pre-cART era, treatment with standard-dose chemotherapy induced high rates of toxicity and outcomes were very poor. The introduction of cART and the incorporation of infection prophylaxis allowed the use of conventional intensive chemotherapy regimens used in the general population, such as R-CHOP or R-EPOCH. The use of cART during chemotherapy treatment was initially controversial due to the potential risk of adverse drug-drug interactions. However, the availability of current cART regimens with less potential to cause drug interactions and evidence that cART improves survival rates in NHL strongly support the use of cART in PWH with DLBCL. Consequently, interdisciplinary collaboration between HIV specialists and hemato-oncologists for the management of potential interactions and overlapping toxicities between antiretroviral and antineoplastic drugs is crucial for the optimal treatment of PWH with NHL.
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Affiliation(s)
- Maria Huguet
- Department of Hematology, Institut Català d'Oncologia, Germans Trias i Pujol University Hospital, Universitat Autònoma de Barcelona, Ctra. de Canyet, S/N, 08916 Badalona, Spain
- Josep Carreras Leukaemia Research Institute, 08916 Badalona, Spain
| | - José-Tomás Navarro
- Department of Hematology, Institut Català d'Oncologia, Germans Trias i Pujol University Hospital, Universitat Autònoma de Barcelona, Ctra. de Canyet, S/N, 08916 Badalona, Spain
- Josep Carreras Leukaemia Research Institute, 08916 Badalona, Spain
| | - José Moltó
- Fundació Lluita Contra les Infeccions, Infectious Diseases Department, Germans Trias i Pujol University Hospital, Ctra. de Canyet, S/N, 08916 Badalona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), 28029 Madrid, Spain
| | - Josep-Maria Ribera
- Department of Hematology, Institut Català d'Oncologia, Germans Trias i Pujol University Hospital, Universitat Autònoma de Barcelona, Ctra. de Canyet, S/N, 08916 Badalona, Spain
- Josep Carreras Leukaemia Research Institute, 08916 Badalona, Spain
| | - Gustavo Tapia
- Department of Pathology, Germans Trias i Pujol University Hospital, Universitat Autònoma de Barcelona, Ctra. de Canyet, S/N, 08916 Badalona, Spain
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15
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Chen J, Wu Y, Kang Z, Qin S, Ruan G, Zhao H, Tao X, Xie Z, Peng J. A promising prognostic model for predicting survival of patients with HIV-related diffuse large B-cell lymphoma in the cART era. Cancer Med 2023. [PMID: 37081761 DOI: 10.1002/cam4.5957] [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] [Received: 01/28/2023] [Revised: 03/25/2023] [Accepted: 04/01/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND Optimization of risk stratification is important for facilitating prognoses and therapeutic decisions regarding diffuse large B-cell lymphoma (DLBCL). However, a simple and applicable prognostic tool is lacking for individuals with human immunodeficiency virus (HIV)-related DLBCL in the era of combined antiretroviral therapy (cART). METHODS This retrospective multicenter observational study included 147 HIV-related DLBCL patients with histologically confirmed DLBCL from 2013 to 2020. The total group was divided into training (n = 78) and validation (n = 69) cohorts to derive the best prognostic score. Clinicopathological and characteristic biomarkers correlated with clinical outcomes were analyzed. RESULTS Age, Ann Arbor stage, lactate dehydrogenase (LDH) ratio, bulky disease, and red blood cell distribution width (RDW) ratio retained robust independent correlations with overall survival (OS) in multivariate analysis. A new and practical prognostic model was generated and externally validated, classifying patients into three categories with significantly different survival rates. Moreover, the new index outperformed the International Prognostic Index (IPI) score (area under the curve values of 0.94 vs. 0.81 in the training cohort and 0.85 vs. 0.74 in the validation cohort, C-indices of 0.80 vs. 0.70 in the training cohort and 0.74 vs. 0.70 in the validation cohort, and integrated discrimination improvement values of 0.203 in the training cohort and 0.175 in the validation cohort) and was better at defining intermediate- and high-risk groups. The calibration curves performed satisfactorily for predicting 3-year OS in the training and validation cohorts. CONCLUSIONS We developed and validated a simple and feasible prognostic model for patients with HIV-related DLBCL that had more discriminative and predictive accuracy than the IPI score for risk stratification and individualized treatment in the cART era.
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Affiliation(s)
- Juanjuan Chen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yihua Wu
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zixin Kang
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shanfang Qin
- Guangxi AIDS Diagnosis and Treatment Quality Control Center, Longtan Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, China
| | - Guangjing Ruan
- Guangxi AIDS Clinical Treatment Center, The Fourth People's Hospital of Nanning, Nanning, China
| | - Han Zhao
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Infectious Diseases Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xin Tao
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhiman Xie
- Guangxi AIDS Clinical Treatment Center, The Fourth People's Hospital of Nanning, Nanning, China
| | - Jie Peng
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
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16
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Wu Z, Wang C, Lyu Y, Lin Z, Lu M, Wang S, Wang B, Yang N, Li Y, Wang J, Duan X, Zhang N, Gao J, Zhang Y, Hao M, Wang Z, Gao G, Liang R. A novel inflammation-related prognostic model for predicting the overall survival of primary central nervous system lymphoma: A real-world data analysis. Front Oncol 2023; 13:1104425. [PMID: 37056341 PMCID: PMC10086228 DOI: 10.3389/fonc.2023.1104425] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
BackgroundPrimary central nervous system lymphoma (PCNSL) is a type of extranodal non-Hodgkin lymphoma. Although there are widely used prognostic scores, their accuracy and practicality are insufficient. Thus, a novel prognostic prediction model was developed for risk stratification of PCNSL patients in our research.MethodsWe retrospectively collected 122 patients with PCNSL from two medical centers in China from January 2010 to June 2022. Among them, 72 patients were used as the development cohort to construct a new model, and 50 patients were used for the validation. Then, by using univariate and multivariate Cox regression analsis and Lasso analysis, the Xijing model was developed and composed of four variables, including lesion number, β2-microglobulin (β2-MG), systemic inflammation response index (SIRI) and Karnofsky performance status (KPS). Finally, we evaluated the Xijing model through internal and external validation.ResultsCompared with the original prognostic scores, the Xijing model has an overall improvement in predicting the prognosis of PCNSL according to the time-dependent area under the curve (AUC), Harrell’s concordance index (C-index), decision curve analysis (DCA), integrated discrimination improvement (IDI) and continuous net reclassification index (NRI). For overall survival (OS) and progression-free survival (PFS), the Xijing model can divide PCNSL patients into three groups, and shows more accurate stratification ability. In addition, the Xijing model can still stratify and predict prognosis similarly better in the elderly with PCNSL and subgroups received high-dose methotrexate (HD-MTX) or Bruton’s tyrosine kinase inhibitors (BTKi). Finally, external validation confirmed the above results.ConclusionsIntegrating four prognostic factors, including imaging findings, tumor burden, systemic inflammation response index, and comprehensive physical condition, we provided a novel prognostic model for PCNSL based on real-world data and evaluated its predictive capacity.
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Affiliation(s)
- Zhentian Wu
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Chenyi Wang
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Yao Lyu
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Zheshen Lin
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Ming Lu
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Shixiong Wang
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Bingxuan Wang
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Na Yang
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Yeye Li
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Jianhong Wang
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Xiaohui Duan
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Na Zhang
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Jing Gao
- Department of Hematology, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Yuan Zhang
- Department of Respiratory, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Miaowang Hao
- Department of Hematology, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Zhe Wang
- Department of Pathology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Guangxun Gao
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Rong Liang
- Department of Hematology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
- *Correspondence: Rong Liang,
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17
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Liang X, Hu R, Li Q, Wang C, Liu Y. Prognostic factors for diffuse large B-cell lymphoma: clinical and biological factors in the rituximab era. Exp Hematol 2023:S0301-472X(23)00071-1. [PMID: 36933759 DOI: 10.1016/j.exphem.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 03/10/2023] [Accepted: 03/10/2023] [Indexed: 03/18/2023]
Affiliation(s)
- Xiping Liang
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China
| | - Renzhi Hu
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China
| | - Qiying Li
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China
| | - Chaoyu Wang
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China
| | - Yao Liu
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China.
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18
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Shang CY, Wu JZ, Ren YM, Liang JH, Yin H, Xia Y, Wang L, Li JY, Li Y, Xu W. Prognostic significance of absolute monocyte count and lymphocyte to monocyte ratio in mucosa-associated lymphoid tissue (MALT) lymphoma. Ann Hematol 2023; 102:359-367. [PMID: 36624225 DOI: 10.1007/s00277-023-05098-5] [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: 07/12/2022] [Accepted: 01/02/2023] [Indexed: 01/11/2023]
Abstract
To investigate the prognostic significance of peripheral blood absolute monocyte count (AMC) and lymphocyte to monocyte ratio (LMR) in mucosa-associated lymphoid tissue (MALT) lymphoma, we retrospectively analyzed 316 newly diagnosed patients with MALT lymphoma. The best cut-off value of AMC was 0.6 × 109/L and LMR was 1.8 by x-tile according to progression-free survival (PFS). Multivariate analysis showed that MALT-IPI (p < 0.001), Eastern Cooperative Oncology Group performance status (ECOG PS) (p = 0.010), and LMR (p = 0.003) have independent prognostic significance for PFS, MALT-International Prognostic Index (MALT-IPI) (p = 0.018), β2-microglobulin (β2-MG) (p = 0.015), and LMR (p = 0.029) predicted poor overall survival (OS). Receiver-operator characteristic (ROC) curves were used to compare the prognostic prediction capability of MALT-IPI and MALT-IPI-M (MALT-IPI combined with LMR); area under the curves (AUCs) for MALT-IPI-M were larger than that for MALT-IPI both PFS (0.682 vs 0.654) and OS (0.804 vs 0.788). Our results indicated that that low level LMR at diagnosis was associated with inferior prognosis. The new prognostic index, MALT-IPI-M, enabled the risk stratification capability for MALT lymphoma survival.
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Affiliation(s)
- Chun-Yu Shang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Jia-Zhu Wu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Yi-Min Ren
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Jin-Hua Liang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Hua Yin
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Yi Xia
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Li Wang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Jian-Yong Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Yue Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China. .,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China. .,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
| | - Wei Xu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China. .,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China. .,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
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19
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Pretreatment C-reactive protein-to-albumin ratio predicts clinical outcomes in patients with peripheral T-cell lymphoma. Int J Hematol 2023; 117:216-224. [PMID: 36520352 DOI: 10.1007/s12185-022-03474-x] [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: 07/04/2022] [Revised: 10/07/2022] [Accepted: 10/11/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE Peripheral T-cell lymphoma (PTCL) is an aggressive and heterogenous T-cell lymphoid malignancy. The prognostic value of C-reactive protein-to-albumin ratio (CAR) has never been assessed in PTCL. MATERIALS AND METHODS This study retrospectively reviewed the medical records of 76 patients diagnosed with various subtypes of PTCL. A CAR cutoff value of 0.794 was determined, and clinical outcomes, including response rate, overall survival (OS), and progression-free survival (PFS), were compared between the high (> 0.794) and low (≤ 0.794) CAR groups. RESULTS After induction therapy, complete response was achieved in 8 (32.0%) and 39 patients (76.5%) in the high and low CAR groups, respectively. During the median follow-up of 57.5 months, the high CAR group had significantly worse 5-year PFS and 5-year OS rates. Even with adjustment for the International Prognostic Index (≥ 3), Prognostic Index for PTCL-unspecified (≥ 3), and T cell score (≥ 2), high CAR remained a significant prognostic factor for PFS (hazard ratio [HR]: 4.01, 95% confidence interval [CI] 2.04-7.86, p < 0.001) and OS (HR: 2.97, 95% CI: 1.33-6.64, p = 0.008). CONCLUSION CAR may play a complementary role in predicting prognosis in patients with PTCL, considering its simplicity, objectivity, and easy accessibility.
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20
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Smith K, Thakker M, Kondo M, Marabti EE, Fried H, Hosseini H, Levine R. Necrotic herpes simplex lymphadenitis imitating Richter's transformation in a patient with chronic lymphocytic leukemia - A case report. IDCases 2022; 31:e01659. [PMID: 36589767 PMCID: PMC9795510 DOI: 10.1016/j.idcr.2022.e01659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 12/02/2022] [Accepted: 12/03/2022] [Indexed: 12/12/2022] Open
Abstract
Richter Transformation (RT) is the phenomenon of progression from Chronic Lymphocytic Leukemia (CLL) into an aggressive Large-Cell Lymphoma and is typically characterized by diffuse lymphadenopathy combined with the classical "B symptoms". While rare, other causes of sudden onset diffuse lymphadenopathy in patients with CLL can occur; one of the rarest being necrotic herpes simplex lymphadenitis. We report a case that presented similarly to Richter Transformation including PET-CT scan findings consistent with RT but was histologically proven to be necrotic herpes simplex lymphadenitis. We identified less than 20 reported cases of this phenomenon in English language literature. Our patient was successfully treated with appropriate antiviral therapy due to timely recognition of the correct disease process. Our case reinforces the importance of maintaining diagnostic suspicion when approaching sudden onset lymphadenitis in this patient population.
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Affiliation(s)
- Kolton Smith
- Department of Internal Medicine, Lenox Hill Hospital, NY 10075, United States,Correspondence to: Department of Internal Medicine, Lenox Hill Hospital, 100 E. 77th Street, NY 10028, United States.
| | - Malvi Thakker
- Department of Hematology and Oncology, Lenox Hill Hospital, NY 10075, United States
| | - Maiko Kondo
- Department of Infectious Diseases, Lenox Hill Hospital, NY 10075, United States
| | - Ettaib El Marabti
- Department of Internal Medicine, Lenox Hill Hospital, NY 10075, United States
| | - Hayley Fried
- Department of Internal Medicine, Lenox Hill Hospital, NY 10075, United States
| | - Hossein Hosseini
- Department of Pathology, Lenox Hill Hospital, NY 10075, United States
| | - Randy Levine
- Department of Hematology and Oncology, Lenox Hill Hospital, NY 10075, United States
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21
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Li D, Li S, Xia Z, Cao J, Zhang J, Chen B, Zhang X, Zhu W, Fang J, Liu Q, Hua W. Prognostic significance of pretreatment red blood cell distribution width in primary diffuse large B-cell lymphoma of the central nervous system for 3P medical approaches in multiple cohorts. EPMA J 2022; 13:499-517. [PMID: 36061828 PMCID: PMC9437163 DOI: 10.1007/s13167-022-00290-5] [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: 04/28/2022] [Accepted: 07/04/2022] [Indexed: 12/08/2022]
Abstract
Background/aims Predicting the clinical outcomes of primary diffuse large B-cell lymphoma of the central nervous system (PCNS-DLBCL) to methotrexate-based combination immunochemotherapy treatment in advance and therefore administering the tailored treatment to the individual is consistent with the principle of predictive, preventive, and personalized medicine (PPPM/3PM). The red blood cell distribution width (RDW) has been reported to be associated with the clinical outcomes of multiple cancer. However, its prognostic role in PCNS-DLBCL is yet to be evaluated. Therefore, we aimed to effectively stratify PCNS-DLBCL patients with different prognosis in advance and early identify the patients who were appropriate to methotrexate-based combination immunochemotherapy based on the pretreatment level of RDW and a clinical prognostic model. Methods A prospective-retrospective, multi-cohort study was conducted from 2010 to 2020. We evaluated RDW in 179 patients (retrospective discovery cohorts of Huashan Center and Renji Center and prospective validation cohort of Cancer Center) with PCNS-DLBCL treated with methotrexate-based combination immunochemotherapy. A generalized additive model with locally estimated scatterplot smoothing was used to identify the relationship between pretreatment RDW levels and clinical outcomes. The high vs low risk of RDW combined with MSKCC score was determined by a minimal P-value approach. The clinical outcomes in different groups were then investigated. Results The pretreatment RDW showed a U-shaped relationship with the risk of overall survival (OS, P = 0.047). The low RDW (< 12.6) and high RDW (> 13.4) groups showed significantly worse OS (P < 0.05) and progression-free survival (PFS; P < 0.05) than the median group (13.4 > RDW > 12.6) in the discovery and validation cohort, respectively. RDW could predict the clinical outcomes successfully. In the discovery cohort, RDW achieved the area under the receiver operating characteristic curve (AUC) of 0.9206 in predicting the clinical outcomes, and the predictive value (AUC = 0.7177) of RDW was verified in the validation cohort. In addition, RDW combined with MSKCC predictive model can distinguish clinical outcomes with the AUC of 0.8348 for OS and 0.8125 for PFS. Compared with the RDW and MSKCC prognosis variables, the RDW combined with MSKCC scores better identified a subgroup of patients with favorable long-term survival in the validation cohort (P < 0.001). RDW combined MSKCC score remained to be independently associated with clinical outcomes by multivariable analysis. Conclusions Based on the pretreatment RDW and MSKCC scores, a novel predictive tool was established to stratify PCNS-DLBCL patients with different prognosis effectively. The predictive model developed accordingly is promising to judge the response of PCNS-DLBCL to methotrexate-based combination immunochemotherapy treatment. Thus, hematologists and oncologists could tailor and adjust therapeutic modalities by monitoring RDW in a prospective rather than the reactive manner, which could save medical expenditures and is a key concept in 3PM. In brief, RDW combined with MSKCC model could serve as an important tool for predicting the response to different treatment and the clinical outcomes for PCNS-DLBCL, which could conform with the principles of predictive, preventive, and personalized medicine. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-022-00290-5.
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Affiliation(s)
- Danhui Li
- Department of Pathology, Renji Hospital, School of Medicine, Shanghai JiaoTong University, No. 160 PuJian Road, Shanghai, 200127 China
| | - Shengjie Li
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
- Department of Clinical Laboratory, EENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032 China
| | - Zuguang Xia
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032 China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032 China
| | - Jiazhen Cao
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032 China
- Department of Clinical Laboratory, Fudan University Shanghai Cancer Center, Shanghai, 200032 China
| | - Jinsen Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
| | - Bobin Chen
- Department of Hematology, Huashan Hospital, Fudan University, Shanghai, 200040 China
| | - Xin Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
| | - Wei Zhu
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
| | - Jianchen Fang
- Department of Pathology, Renji Hospital, School of Medicine, Shanghai JiaoTong University, No. 160 PuJian Road, Shanghai, 200127 China
| | - Qiang Liu
- Department of Pathology, Renji Hospital, School of Medicine, Shanghai JiaoTong University, No. 160 PuJian Road, Shanghai, 200127 China
| | - Wei Hua
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
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22
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Chen J, Liu X, Qin S, Ruan G, Lu A, Zhang J, Wu Y, Xie Z, Peng J. A Novel Prognostic Score Including the CD4/CD8 for AIDS-Related Lymphoma. Front Cell Infect Microbiol 2022; 12:919446. [PMID: 35873145 PMCID: PMC9299417 DOI: 10.3389/fcimb.2022.919446] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/08/2022] [Indexed: 11/13/2022] Open
Abstract
Background A simple and clinically applicable prognostic scoring system for AIDS-related lymphoma (ARL) in the era of combination antiretroviral therapy (cART) is needed to better stratify patients' risks and to assist in the decision-making of therapeutic strategies. Methods We conducted a retrospective multicenter cohort study in 138 primary ARL patients over an 8-year period from 2013 to 2020. Survival curves were estimated using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazard models were performed to identify the association between patient-, lymphoma-, and HIV-specific variables with progression-free survival (PFS) and overall survival (OS). The incremental prognostic value of novel inflammatory biomarkers in the International Prognostic Index (IPI) was evaluated by comparing the receiver operating characteristic (ROC) curves, the concordance index (C-index), and the integrated Brier score (IBS). Results The median age was 49.14 ± 14.20 (range 18-79) years, 81.9% were men, and the median follow-up was 44.94 (95% CI = 37.05-52.84) months. The 3-year OS and PFS were 39.4% (95% CI = 16.3-21.2) and 38.7% (95% CI = 14.5-19.7), respectively. We found that age, extranodal sites, bulky mass, CD4 T-cell counts, CD4/CD8 ratio, and hypoalbuminemia were associated with OS (all P < 0.05) at both univariate and multivariate analyses. Of the new inflammatory markers, only the CD4/CD8 ratio was an independent prognostic parameter of OS and PFS. A lower CD4/CD8 ratio was strongly associated with adverse clinical factors, including older age, advanced Ann Arbor stage, more extranodal sites, elevated erythrocyte sedimentation rate, prior history of HIV, higher red cell distribution width ratio, hypoproteinemia, and emaciation. When the CD4/CD8 ratio was added to the IPI, the composite HIV-IPI score showed significantly better discrimination than IPI alone [AUC (95% CI): HIV-IPI, 0.83 (0.77-0.89) vs. IPI, 0.72 (0.70-0.85)]. The HIV-IPI model provided good predictive performance [C-index (95% CI): HIV-IPI, 0.82 (0.81-0.83) vs. IPI, 0.75 (0.73-0.77), P < 0.001] and a satisfactory calibration function. Conclusions The CD4/CD8 ratio, an inexpensive and readily available marker, is a powerful independent prognostic parameter in patients with ARL. Furthermore, when the CD4/CD8 ratio is used in combination with IPI, it increases prognostic ability. The useful prediction of expected outcomes in ARL can inform treatment decisions.
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Affiliation(s)
- Juanjuan Chen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xuewu Liu
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shanfang Qin
- Guangxi AIDS Diagnosis and Treatment Quality Control Center, Longtan Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, China
| | - Guangjing Ruan
- Guangxi AIDS Clinical Treatment Center, The Fourth People's Hospital of Nanning, Nanning, China
| | - Aili Lu
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jinxin Zhang
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yihua Wu
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhiman Xie
- Guangxi AIDS Clinical Treatment Center, The Fourth People's Hospital of Nanning, Nanning, China
| | - Jie Peng
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
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23
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Chen H, Zhong Q, Zhou Y, Qin Y, Yang J, Liu P, He X, Zhou S, Zhang C, Gui L, Yang S, Zhou L, Shi Y. Enhancement of the International prognostic index with β2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era. BMC Cancer 2022; 22:583. [PMID: 35624433 PMCID: PMC9137167 DOI: 10.1186/s12885-022-09693-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 05/23/2022] [Indexed: 11/23/2022] Open
Abstract
Background This study aimed to propose a new user-friendly, cost effective and robust risk model to facilitate risk stratification for diffuse large B-cell lymphoma (DLBCL) treated with frontline R-CHOP regimens. Methods Data on 998 patients with de novo DLBCL diagnosed between Jan 1st, 2005 and Dec 31st, 2018 at our center, who received frontline R-CHOP or R-CHOP-like regimens, were retrospectively collected. Patients were randomly divided into the training cohort (n = 701) and the validation cohort (n = 297). A new prognostic model for overall survival (OS) was built based on the training cohort. The performance of the new model was compared with International prognostic index (IPI), revised IPI (R-IPI) and National Comprehensive Cancer Network (NCCN)-IPI (NCCN-IPI). The new model was validated in the validation cohort. Results The multivariate analysis of the training cohort showed that the IPI, β2-microglobulin, platelet count and red blood cell distribution width were independent factors for OS, which were incorporated into the new prognostic model. Patients were stratified into low risk, low-intermediate risk, high-intermediate risk, high risk and very high risk groups, with distinct survival outcomes. The new model achieved good C-indexes for 5-year OS prediction of 0.750 (95%CI 0.719–0.781) and 0.733 (95%CI 0.682–0.784) in the training and validation cohorts, respectively, and displayed well-fitted calibration curves. The C-index and the time-dependent ROC analysis demonstrated better performance of the new model than the IPI, R-IPI and NCCN-IPI in both training and validation cohorts. The integrated Brier score for predicting 5-year OS of the new model was lower than that of the IPI, R-IPI and NCCN-IPI in both cohorts, and decision curve analysis also showed a higher net benefit, indicating the superiority of the new model over the conventional models. Conclusion The new prognostic model might be a useful predictive tool for DLBCL treated with R-CHOP regimens. Further external validation is warranted. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09693-z.
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Affiliation(s)
- Haizhu Chen
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Qiaofeng Zhong
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yu Zhou
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yan Qin
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Jianliang Yang
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Peng Liu
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Xiaohui He
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Shengyu Zhou
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Changgong Zhang
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Sheng Yang
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Liqiang Zhou
- 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - 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, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
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24
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Lv H, Fei Y, Li W, Wang Y, Wang J, He J, Liu X, Li L, Qiu L, Qian Z, Zhou S, Meng B, Zhai Q, Ren X, Zou D, Cai Q, Wang X, Zhang H. A Novel Clinical Immune‐Related Prognostic Model Predicts the Overall Survival of Mantle Cell Lymphoma. Hematol Oncol 2022; 40:343-355. [PMID: 35368100 DOI: 10.1002/hon.2994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 02/24/2022] [Accepted: 03/03/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Huijuan Lv
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
- Department of Medical Oncology The Fourth People’s Hospital of Jinan Jinan Shandong250031 China
| | - Yue Fei
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
| | - Wei Li
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
| | - Yi Wang
- State Key Laboratory of Experimental Hematology National Clinical Research Center for Blood Diseases Haihe Laboratory of Cell Ecosystem Institute of Hematology & Blood Diseases Hospital Chinese Academy of Medical Sciences & Peking Union Medical College Tianjin China
| | - Jinni Wang
- State Key Laboratory of Oncology in South China Collaborative Innovation Center of Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou PR China
| | - Jin He
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
| | - Xianming Liu
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
| | - Lanfang Li
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
| | - Lihua Qiu
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
| | - Zhengzi Qian
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
| | - Shiyong Zhou
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
| | - Bin Meng
- Department of Pathology Tianjin Medical University Cancer Institute and Hospital Tianjin300060 China
| | - Qiongli Zhai
- Department of Pathology Tianjin Medical University Cancer Institute and Hospital Tianjin300060 China
| | - Xiubao Ren
- Department of Immunology/Biotherapy Tianjin Medical University Cancer Institute and Hospital Tianjin300060 China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology National Clinical Research Center for Blood Diseases Haihe Laboratory of Cell Ecosystem Institute of Hematology & Blood Diseases Hospital Chinese Academy of Medical Sciences & Peking Union Medical College Tianjin China
| | - Qingqing Cai
- State Key Laboratory of Oncology in South China Collaborative Innovation Center of Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou PR China
| | - Xianhuo Wang
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
| | - Huilai Zhang
- Departments of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer Sino‐US Center for Lymphoma and Leukemia Research Tianjin300060 China
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25
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Liu R, Cheng Q, Kang L, Wang E, Li Y, Zhang J, Xiao H, Zhang Y, Chu L, Chen X, Zhang C, Tan J, Xu N, Li M, Yu L, Li X. CD19 or CD20 CAR T-cell Therapy Demonstrates Durable Antitumor Efficacy in Patients with CNS Lymphoma. Hum Gene Ther 2022; 33:318-329. [PMID: 35152726 DOI: 10.1089/hum.2021.249] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Affiliation(s)
- Rui Liu
- Central South University Third Xiangya Hospital, 504354, Department of Hematology, Changsha, China
| | - Qian Cheng
- Central South University Third Xiangya Hospital, 504354, Department of Hematology, Changsha, Hunan, China
| | - Liqing Kang
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Shanghai, China
| | - Erhua Wang
- Central South University Third Xiangya Hospital, 504354, Department of Hematology, Changsha, Hunan, China
| | - Ying Li
- Central South University Third Xiangya Hospital, 504354, Department of Hematology, Changsha, Hunan, China
| | - Jian Zhang
- Central South University Third Xiangya Hospital, 504354, Department of Hematology, Changsha, Hunan, China
| | - Han Xiao
- Central South University Third Xiangya Hospital, 504354, Department of Hematology, Changsha, Hunan, China
| | - Yi Zhang
- Central South University Third Xiangya Hospital, 504354, Department of Gastrointestinal Surgery, Changsha, Hunan, China
| | - Ling Chu
- Central South University Third Xiangya Hospital, 504354, Department of Pathology, Changsha, Hunan, China
| | - Xin Chen
- Central South University Third Xiangya Hospital, 504354, Department of Hematology, Changsha, Hunan, China
| | - Chang Zhang
- Central South University Third Xiangya Hospital, 504354, Department of Hematology, Changsha, Hunan, China
| | - Jingwen Tan
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Shanghai, China
- East China Normal University School of Chemistry and Molecular Engineering, 539566, Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai, China
| | - Nan Xu
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Shanghai, China
- East China Normal University School of Chemistry and Molecular Engineering, 539566, Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai, China
| | - Minghao Li
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Shanghai, China
- East China Normal University School of Chemistry and Molecular Engineering, 539566, Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai, China
| | - Lei Yu
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Shanghai, China
- East China Normal University School of Chemistry and Molecular Engineering, 539566, Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai, China
| | - Xin Li
- Central South University Third Xiangya Hospital, 504354, Department of Hematology, Changsha, Hunan, China
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26
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Shimizu N, Ngayama D, Watanabe Y, Yamaguchi T, Nakamura S, Ohira M, Saiki A, Onda H, Yamaoka S, Abe K, Nakaseko C, Tatsuno I. Rituximab, cyclophosphamide, doxorubicin, vincristine and prednisolone therapy increases carotid intima-media thickness and plaque score with von Willebrand factor activity elevation in patients with malignant lymphoma. J Chemother 2021; 34:258-263. [PMID: 34661507 DOI: 10.1080/1120009x.2021.1988202] [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: 10/20/2022]
Abstract
An increased risk for atherosclerosis has been noted in cancer survivors; however, studies that focus on the risk of atherosclerosis in patients treated with chemotherapy are scarce. Therefore, we evaluated 32 patients who received rituximab, cyclophosphamide, doxorubicin, vincristine and prednisolone (R-CHOP) therapy for B-cell malignant lymphoma by analysing the changes in atherosclerosis. Just before each treatment course, plasma levels of von Willebrand Factor (vWF) activity were evaluated, and carotid ultrasonography was performed at baseline and after the final treatment. Throughout the follow-up period, plasma vWF levels showed significantly transient increased by approximately 20%-40%. Both mean carotid intima-media thickness (IMT) and plaque score (PS) significantly increased during the 36.6 ± 26.0 weeks of observation (mean IMT: 0.724 ± 0.118 to 0.767 ± 0.129 mm; PS: 4.31 ± 3.53 to 4.87 ± 3.88, P < 0.001). Our study suggests that R-CHOP therapy promotes atherosclerosis.
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Affiliation(s)
- Naomi Shimizu
- Department of Hematology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Daiji Ngayama
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Yasuhiro Watanabe
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Takashi Yamaguchi
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Shoko Nakamura
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Masahiro Ohira
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Atsuhito Saiki
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Hiroki Onda
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Shuhei Yamaoka
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Kazuki Abe
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
| | - Chiaki Nakaseko
- Department of Hematology, International University of Health and Welfare School of Medicine, Chiba, Japan
| | - Ichiro Tatsuno
- Center for Diabetes, Metabolism and Endocrinology, Toho University Medical Center Sakura Hospital, Chiba, Japan
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Yang H, Xu Y, Li Z, Yan L, Wang J, Liao P. The Clinical Implication of Dynamic Hematological Parameters in COVID-19: A Retrospective Study in Chongqing, China. Int J Gen Med 2021; 14:4073-4080. [PMID: 34354369 PMCID: PMC8331199 DOI: 10.2147/ijgm.s321292] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 07/20/2021] [Indexed: 12/22/2022] Open
Abstract
Purpose To analyze the clinical characteristics of patients with coronavirus disease 19 (COVID-19) in Chongqing, and identify the potential hematological markers for reference. Patients and Methods 78 COVID-19-infected patients in Chongqing were recruited and divided into the non-severe and the severe group. The clinical characteristics and hematological features of the patients of the two groups were compared. Receiver-operating characteristic curves (ROC) were calculated to evaluate the diagnostic performance of potential markers, and the dynamic changes of blood routine analyzing items were compared between the non-severe and severe groups. Results 78 patients (median age of 45 years, 41 females and 37 males) were enrolled. The patients in the severe group exhibited significantly lower lymphocyte (P<0.05) but higher neutrophil to lymphocyte ratio (NLR) (P<0.05) than the patients in the non-severe group. The highest area under the ROC curve (AUC) was lymphocyte (0.74). The patients in the severe group had a lower level of lymphocyte during hospitalization (P<0.01) and lymphocyte-monocyte ratio (LMR) in the progressive and convalescent phases (P<0.05) than the patients in the non-severe group. However, the level of neutrophil of the patients in the severe group was higher in the progressive phase (P<0.05), and so was NLR in the acute, progressive, and convalescent-phase (P<0.05). Conclusion Infected with COVID-19 changed the levels of lymphocyte, neutrophil, LMR, and NLR in the blood, and these analyzing items were significantly different between the non-severe and severe groups. Furthermore, the dynamic changes of lymphocyte and NLR levels may help discriminate the severe group from the non-severe group.
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Affiliation(s)
- Huan Yang
- School of Clinical Medicine, Southwest Medical University, Luzhou, People's Republic of China.,Department of Clinical Laboratory, Chongqing General Hospital, Chonging, People's Republic of China
| | - Yuan Xu
- Department of Clinical Laboratory, Chongqing General Hospital, Chonging, People's Republic of China
| | - Zhijie Li
- Department of Clinical Laboratory, Chongqing General Hospital, Chonging, People's Republic of China
| | - Ling Yan
- Department of Clinical Laboratory, Chongqing General Hospital, Chonging, People's Republic of China
| | - Jing Wang
- Department of Clinical Laboratory, Chongqing Public Health Medical Center, Chonging, People's Republic of China
| | - Pu Liao
- School of Clinical Medicine, Southwest Medical University, Luzhou, People's Republic of China.,Department of Clinical Laboratory, Chongqing General Hospital, Chonging, People's Republic of China
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28
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Yamasaki S, Matsushima T, Minami M, Kadowaki M, Takase K, Iwasaki H. Clinical impact of comprehensive geriatric assessment in patients aged 80 years and older with diffuse large B-cell lymphoma receiving rituximab-mini-CHOP: a single-institute retrospective study. Eur Geriatr Med 2021; 13:195-201. [PMID: 34254266 DOI: 10.1007/s41999-021-00539-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 07/05/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE Comprehensive geriatric assessment (CGA) has been used to help identify elderly patients with diffuse large B-cell lymphoma (DLBCL) who were suitable for rituximab combined with CHOP therapy (cyclophosphamide, Adriamycin, vincristine, and prednisolone), but there are few reports of CGA for elderly patients with DLBCL who received R-mini-CHOP. METHODS We retrospectively analyzed the risk factors for outcomes among 142 patients aged 80 years and older (≤ 85 years, n = 102; > 85 years, n = 40) with DLBCL who received R-mini-CHOP at 4-week intervals at our institute between 2008 and 2019. We performed a comparison between CGA and treatment outcomes. RESULTS There were significant differences in progression-free survival between patients with international prognostic index (IPI) scores of > 3 and ≤ 3 at diagnosis and in overall survival between patients with instrumental activities of daily living (IADL) scores of ≥ 5 and IADL < 5 before the initial treatment and patients aged ≤ 85 years and > 85 years. CONCLUSION Strategies that carefully select elderly patients aged 80 years and older with DLBCL using CGA may help to identify individuals suitable for novel therapies.
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Affiliation(s)
- Satoshi Yamasaki
- Department of Hematology and Clinical Research Institute, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan. .,Department of Internal Medicine, Kyushu University Beppu Hospital, 4546 Tsurumihara, Tsurumi, Beppu, Oita, 874-0838, Japan.
| | - Takumi Matsushima
- Department of Hematology and Clinical Research Institute, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Mariko Minami
- Department of Hematology and Clinical Research Institute, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Masanori Kadowaki
- Department of Hematology and Clinical Research Institute, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Ken Takase
- Department of Hematology and Clinical Research Institute, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Hiromi Iwasaki
- Department of Hematology and Clinical Research Institute, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
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29
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Zeng J, Zhang X, Jia L, Wu Y, Tian Y, Zhang Y. Pretreatment lymphocyte-to-monocyte ratios predict AIDS-related diffuse large B-cell lymphoma overall survival. J Med Virol 2021; 93:3907-3914. [PMID: 33155687 DOI: 10.1002/jmv.26655] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/30/2020] [Accepted: 11/01/2020] [Indexed: 12/14/2022]
Abstract
The lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR) have been reported to be useful for predicting the prognosis of various malignancies, including diffuse large B-cell lymphoma (DLBCL). However, little is known about the role of LMR and PLR in the prognosis of DLBCL patients with human immunodeficiency virus (HIV) infection. We retrospectively evaluated the prognostic value of the LMR and PLR in patients with newly diagnosed AIDS-related diffuse large B-cell lymphoma (AR-DLBCL) who were treated with CHOP-like chemotherapy at a single institution. In 33 AR-DLBCL patients, the median follow-up period was 32 months (range: 7-85 months), with an estimated 2-year overall survival (OS) rate of 79.9%. The univariate analysis confirmed the LMR ≤ 2.74 (p = .015), PLR ≥ 337.7 (p = .019), and moderate anemia (p = .045) were associated with inferior survival. The independent significant association between low LMR and poor OS in the multivariate analysis was identified (HR: 0.033, 95% CI: 0.001-0.853, p = .040). However, PLR (p = .459) and moderate anemia (p = .102) did not retain an independent significance in the multivariate analysis. Moreover, compared with the high-LMR group, patients with low-LMR more frequently had B symptoms (p = .010) and lower CD4+T cell count (p < .001). The pretreatment LMR may be an effective prognostic factor for predicting OS in patients with AR-DLBCL.
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Affiliation(s)
- Jing Zeng
- Department of Infectious Diseases, Beijing You An Hospital, Beijing Institute of Hepatology, Capital Medical University, Beijing, China
| | - Xiuqun Zhang
- Department of Hematology, Nanjing Medical University Affiliated Nanjing First Hospital, Nanjing, Jiangsu, China
| | - Lin Jia
- Department of Infectious Diseases, Beijing You An Hospital, Beijing Institute of Hepatology, Capital Medical University, Beijing, China
| | - Yongfeng Wu
- Department of Infectious Diseases, Beijing You An Hospital, Beijing Institute of Hepatology, Capital Medical University, Beijing, China
| | - Yakun Tian
- Department of Infectious Diseases, Beijing You An Hospital, Beijing Institute of Hepatology, Capital Medical University, Beijing, China
| | - Yulin Zhang
- Department of Infectious Diseases, Beijing You An Hospital, Beijing Institute of Hepatology, Capital Medical University, Beijing, China
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30
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Mahe K, Couturaud F, Kerspern H, Chauveau A, Ianotto JC. Evaluation of beta-2 microglobulin, erythropoietin and tobacco use in polycythemic cases. Int J Hematol 2021; 114:222-227. [PMID: 34021850 DOI: 10.1007/s12185-021-03164-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/07/2021] [Accepted: 05/12/2021] [Indexed: 01/04/2023]
Abstract
In the 2016 WHO classification, hemoglobin and hematocrit thresholds for diagnosing polycythemia vera (PV) have been lowered, increasing the number of consultations for polycythemia investigations. In PV, beta-2 microglobulin (B2m) levels are reportedly increased, whereas erythropoietin (EPO) levels are usually low. Most secondary polycythemia cases (SP) are caused by tobacco use. We decided to analyze the relevance of these three parameters in all patients seen for polycythemia investigations to help differentiate PV from SP cases. A cohort of 257 patients (123 PV; 134 SP) was identified. The median B2m level was higher for PV patients (3.16 vs 1.98 mg/l, p < 0.0001). Increased B2m levels were observed in 83.7% of PV patients (11.9% in SP). The median EPO level was lower in PV patients (4.4 vs 12.3 UI/l, p < 0.0001). Tobacco was used by 42.8% of SP patients (8% in PV, p < 0.0001). Increased B2m, low EPO and no tobacco exposure was predictive of PV (specificity and positive predictive value = 100%). Normal B2m, normal EPO and tobacco exposure was predictive of SP (positive predictive value = 100%). These simple and inexpensive parameters could be used to rapidly differentiate PV from SP cases, before prescribing time-consuming JAK2 V617F mutation analysis by specialists.
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Affiliation(s)
- Kristell Mahe
- Hématologie Clinique, CH Cornouaille, Quimper, France
| | - Francis Couturaud
- Département de Médecine Interne Et de Pneumologie, CHRU de Brest, Brest, France.,EA3878 GETBO, Groupe D'Etude de La Thrombose en Bretagne Occidentale, Brest, France
| | | | - Aurélie Chauveau
- Laboratoire D'Hématologie, CHRU de Brest, Brest, France.,FIM, France Intergroupe Des Syndromes Myéloprolifératifs, Paris, France
| | - Jean-Christophe Ianotto
- EA3878 GETBO, Groupe D'Etude de La Thrombose en Bretagne Occidentale, Brest, France. .,FIM, France Intergroupe Des Syndromes Myéloprolifératifs, Paris, France. .,Hématologie Clinique, Institut de Cancéro-Hématologie, CHRU de Brest, Brest, France.
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31
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Luo Q, Yang C, Fu C, Wu W, Wei Y, Zou L. Prognostic Role of Blood Markers in Primary Central Nervous System Lymphoma Patients Treated With High-Dose Methotrexate-Based Therapy. Front Oncol 2021; 11:639644. [PMID: 33996552 PMCID: PMC8117413 DOI: 10.3389/fonc.2021.639644] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 02/15/2021] [Indexed: 02/05/2023] Open
Abstract
Purpose: Primary central nervous system lymphoma (PCNSL) is a rare type of extra-nodal non-Hodgkin lymphoma, but the prognostic value of blood parameters indicating systemic inflammation and nutritional status remains unknown. We aim to explore the prognostic role of blood parameters in PCNSL. Methods: All PCNSL patients diagnosed at West China Hospital between February 2011 and February 2020 were retrospectively screened. For patients who were initially treated with high-dose methotrexate (HD-MTX)-based therapy, clinical data were collected. Survival analyses were performed using the Kaplan–Meier method and multivariable Cox proportional regression. The accuracies of different multivariate models were assessed by Harrell's C statistical analysis (C-index). Results: Sixty patients were included. Median overall survival (OS) was 4.8 ± 3.7 years, and median progression-free survival (PFS) was 1.9 ± 1.3 years. In the multivariate analysis, hemoglobin (Hb) (HR 3.940, p = 0.013), neutrophil–lymphocyte ratio (NLR) (HR 10.548, p = 0.034), and total bilirubin (TBIL) (HR 3.429, p = 0.004) had independent prognostic values for PFS, while lymphocyte–monocyte ratio (LMR) (HR 6.195, p = 0.039), systemic immune-inflammation index (SII) (HR 5.144, p = 0.012), and TBIL (HR 3.892, p = 0.009) were independently related to OS. The C-index of the Memorial Sloan-Kettering Cancer Center (MSKCC) score increased from 0.57 to 0.72 when SII and TBIL were combined. Conclusions: Our study indicated that pretreatment Hb, NLR, SII, LMR, and TBIL were convenient prognostic factors in PCNSL. Adding SII and TBIL to the MSKCC score can better predict the survival of PCNSL based on HD-MTX regimens.
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Affiliation(s)
- Qian Luo
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Chunli Yang
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Chunxi Fu
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Wanchun Wu
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Wei
- Department of Central Medical Transportation, West China Hospital, Sichuan University, Chengdu, China
| | - Liqun Zou
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
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32
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Gao F, Hu J, Zhang J, Xu Y. Prognostic Value of Peripheral Blood Lymphocyte/monocyte Ratio in Lymphoma. J Cancer 2021; 12:3407-3417. [PMID: 33995619 PMCID: PMC8120176 DOI: 10.7150/jca.50552] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Accepted: 03/28/2021] [Indexed: 11/17/2022] Open
Abstract
Objective: Lymphocyte monocyte ratio (LMR) has been considered as a prognostic factor in patients with lymphoma, which focused on diffuse large B-cell lymphoma (DLBCL) and Hodgkin lymphoma (HL). Recently, many relevant clinical studies have been published with inconsistent results. To gain a more comprehensive view of the prognostic value of LMR, we conducted a meta-analysis on the significance of peripheral LMR in all subtypes of lymphoma. Methods: PubMed, PMC, Web of Science, Embase, and Cochrane Library were searched for relevant articles to conduct a meta-analysis. Hazard ratio (HR) and its 95% confidence interval (CI) of OS and PFS were extracted and pooled on stata12.1. Results: In the meta-analysis, forty studies were eligible and a total of 10446 patients were included. Low LMR was associated with an inferior OS (HR=2.45, 95%CI 1.95-3.08) and PFS (HR=2.36, 95%CI 1.94-2.88). In the analysis of lymphoma subtypes, similar results were seen in HL, NHL, and its subtypes including DLBCL, NK/T cell lymphoma, and follicular lymphoma. In addition, low LMR was related with higher LDH (OR=2.26, 95%CI 1.66-3.09), advanced tumor staging (OR=0.41, 95%CI 0.36-0.46), IPI score (OR=0.40, 95%CI 0.33-0.48), but not with bone marrow involvement (OR=1.24, 95%CI 0.85-1.81) or pathological subtype (OR=0.69, 95%CI 0.41-1.16). Conclusion: Low LMR in peripheral blood indicates poor prognosis in patients with lymphoma. As a simple clinical indicator, peripheral blood LMR combined with existing prognostic factors can improve the accuracy of lymphoma prognosis assessment.
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Affiliation(s)
- Feiqiong Gao
- Department of Hematology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Jianlai Hu
- Department of Prosthodontics, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Jiawei Zhang
- Department of Hematology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Yang Xu
- Department of Hematology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China.,Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
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Shen H, Jiang L, Nie L, Fan X, Xu Y, Yin L, Xu L, Xia J, Li Z, Zhu F, Xu K. Prognostic Analysis of Patients with Primary Extranodal Lymphoma: A Retrospective Study. Cancer Manag Res 2021; 13:2171-2180. [PMID: 33688260 PMCID: PMC7936719 DOI: 10.2147/cmar.s299745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 02/17/2021] [Indexed: 11/23/2022] Open
Abstract
Background Originating from extranodal organs or tissues, primary extranodal lymphoma (PENL) acts in different primary sites with diverse clinical performances and PENL has remarkable geographical differences and lacks the relevant reports in each region. Patients and Methods Two hundred and twenty PENL patients were enrolled, and the relevant clinical and laboratory indicators were analyzed. In addition, statistical methods were applied to analyze the effects of different factors on overall survival (OS) and progression-free survival (PFS) of patients. Results The three most frequent primary sites of PENL are the digestive system, head and neck, and central nervous system. The patients were classified into groups based on their risk status, resulting in low-risk, medium-low-risk, medium-high-risk, and high-risk, and their respective 3-year OS values were calculated, which showed that 121 patients (55%) were in the low-risk group and 3-year OS was 85.2% (25.9% medium-low-risk, 3-year OS 66.6%; 15% medium-high-risk, 3-year OS 61.9%; 4.09% high risk, 3-year OS 45.7%). A multivariate analysis of the Cox regression demonstrated that serum beta 2-microglobulin (β2-MG) and lactate dehydrogenase (LDH) were independent prognostic factors for OS and PFS, respectively. Both the performance status and pathological subtypes were independent prognostic factors for OS and PFS. Conclusion The correlated independent risk factors such as β2-MG, LDH, performance status, and pathological subtypes, were helpful for effectively determining the prognosis of PENL patients and guiding treatment.
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Affiliation(s)
- Hanying Shen
- Blood Disease Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China
| | - Lingling Jiang
- Blood Disease Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China
| | - Linlin Nie
- Blood Disease Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China
| | - Xiaohui Fan
- Blood Disease Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China
| | - Yanqiu Xu
- Blood Disease Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China
| | - Lingling Yin
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, People's Republic of China
| | - Linyan Xu
- Blood Disease Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.,Key Laboratory of Bone Marrow Stem Cell, Xuzhou, Jiangsu, 221000, People's Republic of China
| | - Jieyun Xia
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, People's Republic of China
| | - Zhenyu Li
- Blood Disease Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.,Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, People's Republic of China.,Key Laboratory of Bone Marrow Stem Cell, Xuzhou, Jiangsu, 221000, People's Republic of China
| | - Feng Zhu
- Blood Disease Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.,Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, People's Republic of China.,Key Laboratory of Bone Marrow Stem Cell, Xuzhou, Jiangsu, 221000, People's Republic of China
| | - Kailin Xu
- Blood Disease Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.,Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, People's Republic of China.,Key Laboratory of Bone Marrow Stem Cell, Xuzhou, Jiangsu, 221000, People's Republic of China
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34
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Li L, Bu X, Wu B, Zhang S, Jin K, Xia L, Sun C. Combined Diagnostic Significance of Preoperative Serum β2-Microglobulin and Routine Blood Test in Patients with High-grade Glioma and Solitary Brain Metastasis. Cancer Manag Res 2020; 12:11735-11742. [PMID: 33235502 PMCID: PMC7680092 DOI: 10.2147/cmar.s268990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 10/12/2020] [Indexed: 11/25/2022] Open
Abstract
Background High-grade glioma (HGG) and solitary brain metastasis (sBM) patients show similar symptoms in clinical practice, and accurately differential diagnosis directly affects the management and prognosis of patients. The aim of this study was to distinguish two entities by preoperative serum β2-microglobulin (β2-m) and routine blood test-associated inflammatory indexes including, white blood cell (WBC), neutrophils, lymphocytes, monocytes, and platelets count, red cell distribution width (RDW), platelet distribution width (PDW), neutrophil/lymphocyte ratio (NLR) and monocyte/lymphocyte ratio (MLR). Patients and Methods A retrospective analysis was performed in the Cancer Hospital of the University of Chinese Academy of Sciences from January 2015 to December 2019, including 127 patients of newly pathologically diagnosed with HGG and 174 patients with sBM. Clinical information including age, gender, pathological diagnosis, preoperative serum β2-m and routine blood tests were collected, and NLR and MLR were calculated. The diagnostic significance of these markers for HGG and sBM was assessed by receiver operating characteristic (ROC) curves. Results The patients with sBM had significantly higher values of preoperative age, β2-m, NLR and MLR as well as lower lymphocytes count than patients with HGG. Besides, the area under the curve (AUC) in differentiating HGG from sBM was 0.625 (95%CI: 0.561–0.689) for age, 0.655 (0.594–0.717) for β2-m, 0.634 (0.571–0.698) for NLR and 0.622 (0.559–0.686) for MLR, and the combination of Age+β2-m+NLR+MLR showed the best diagnostic performance with AUC of 0.731 (0.675–0.788) and 0.048*Age+0.001*β2-m+0.201*NLR+0.594*MLR>5.813 could indicate sBM rather than HGG. Conclusion The Age+β2-m+NLR+MLR combination was revealed as an inexpensive and noninvasive biomarker for differentiating between HGG and sBM before surgery.
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Affiliation(s)
- Liwen Li
- Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People's Republic of China
| | - Xiaomin Bu
- Department of Clinical Laboratory, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People's Republic of China
| | - Bin Wu
- Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People's Republic of China
| | - Shuyuan Zhang
- Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People's Republic of China
| | - Kai Jin
- Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People's Republic of China
| | - Liang Xia
- Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People's Republic of China
| | - Caixing Sun
- Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People's Republic of China
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Herraez I, Bento L, Del Campo R, Sas A, Ramos R, Ibarra J, Mestre F, Alemany R, Bargay J, Sampol A, Gutierrez A. Prognostic Role of the Red Blood Cell Distribution Width (RDW) in Hodgkin Lymphoma. Cancers (Basel) 2020; 12:cancers12113262. [PMID: 33158258 PMCID: PMC7694294 DOI: 10.3390/cancers12113262] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 10/22/2020] [Accepted: 11/01/2020] [Indexed: 02/08/2023] Open
Abstract
The red blood cell distribution width (RDW) is a parameter available from an automated blood count, which measures the degree of heterogeneity of erythrocyte volume and increases in inflammatory conditions. The prognostic role of RDW has been described in different types of cancers. Hodgkin lymphoma (HL) is a hematological malignancy, known to have a proinflammatory background. We aim to study the prognostic role of RDW in HL. We retrospectively analyzed 264 patients with HL from two hospitals in the Balearic Islands between 1990 and 2018. Higher levels of RDW were independently related to anemia, B-symptoms, and low albumin. In age ≥45 years, the presence of lymphopenia and higher RDW were independently associated with worse event-free survival (EFS) and overall survival (OS). Long-term incidence of secondary malignancies was significantly higher in patients with higher RDW, particularly lung cancer. In conclusion, we report for the first time that RDW is a simple, cheap, and easily available prognostic factor in HL that identifies a group with worse EFS, OS, and a higher potential incidence of secondary malignancies. RDW seems to be related to most adverse prognostic factors in HL, making RDW an excellent candidate to be included in prognostic scores for HL.
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Affiliation(s)
- Ines Herraez
- Department of Hematology, Son Llatzer University Hospital, 07198 Palma de Mallorca, Spain; (I.H.); (R.D.C.); (J.B.)
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
- Department of Hematology, Son Espases University Hospital, 07120 Palma de Mallorca, Spain; (L.B.); (A.S.); (A.S.)
| | - Leyre Bento
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
- Department of Hematology, Son Espases University Hospital, 07120 Palma de Mallorca, Spain; (L.B.); (A.S.); (A.S.)
| | - Raquel Del Campo
- Department of Hematology, Son Llatzer University Hospital, 07198 Palma de Mallorca, Spain; (I.H.); (R.D.C.); (J.B.)
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
| | - Adriana Sas
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
- Department of Hematology, Son Espases University Hospital, 07120 Palma de Mallorca, Spain; (L.B.); (A.S.); (A.S.)
| | - Rafael Ramos
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
- Department of Pathology, Son Espases University Hospital, 07120 Palma de Mallorca, Spain;
| | - Javier Ibarra
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
- Department of Pathology, Son Llatzer University Hospital, 07198 Palma de Mallorca, Spain;
| | - Francesc Mestre
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
- Department of Radiotherapy, Son Espases University Hospital, 07120 Palma de Mallorca, Spain;
| | - Regina Alemany
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
- Department of Biology, University of Balearic Islands, 07122 Palma de Mallorca, Spain;
| | - Joan Bargay
- Department of Hematology, Son Llatzer University Hospital, 07198 Palma de Mallorca, Spain; (I.H.); (R.D.C.); (J.B.)
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
| | - Antonia Sampol
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
- Department of Hematology, Son Espases University Hospital, 07120 Palma de Mallorca, Spain; (L.B.); (A.S.); (A.S.)
| | - Antonio Gutierrez
- Health Research Institute of the Balearic Islands (IdISBa-IUNICS), 07120 Palma de Mallorca, Spain
- Department of Hematology, Son Espases University Hospital, 07120 Palma de Mallorca, Spain; (L.B.); (A.S.); (A.S.)
- Correspondence: ; Tel.: +34-(8)-7120-5000 (ext. 65115)
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Mozas P, Rivero A, Rivas-Delgado A, Nadeu F, Clot G, Correa JG, Castillo C, Bataller A, Baumann T, Giné E, Delgado J, Villamor N, Campo E, Pérez-Galán P, Magnano L, López-Guillermo A. A low lymphocyte-to-monocyte ratio is an independent predictor of poorer survival and higher risk of histological transformation in follicular lymphoma. Leuk Lymphoma 2020; 62:104-111. [PMID: 32954916 DOI: 10.1080/10428194.2020.1821010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
The lymphocyte-to-monocyte ratio (LMR) is a prognostic factor in different neoplasms, but its potential importance in follicular lymphoma (FL) is not well defined. We studied 384 FL patients for which the LMR was available at diagnosis. Baseline features and outcomes were compared between patients with an LMR ≤/>2.5. The 76 patients (20%) who had an LMR ≤2.5 were older and had a higher tumor burden. A low LMR was predictive of a lower 10-y progression-free survival (32 vs. 55%, p = .001) and overall survival (35 vs. 78%, p < .0001; HR = 2.3, p = .003 in a 6-element multivariable model). A low LMR was also an independent risk factor for histological transformation (11 vs. 6% at 10 years, p = .01). Likewise, patients with a low LMR had a higher rate of second malignancies. The potential utility of this widely available parameter and its contribution to well-established prognostic scores need to be explored in independent, prospective series.
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Affiliation(s)
- Pablo Mozas
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Andrea Rivero
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain
| | | | - Ferran Nadeu
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Guillem Clot
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | | | - Carlos Castillo
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Alex Bataller
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Tycho Baumann
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Eva Giné
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Julio Delgado
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Neus Villamor
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.,Hematopathology Unit, Department of Pathology, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Elías Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.,Hematopathology Unit, Department of Pathology, Hospital Clínic de Barcelona, Barcelona, Spain.,Universitat de Barcelona, Barcelona, Spain
| | - Patricia Pérez-Galán
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Laura Magnano
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Armando López-Guillermo
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.,Universitat de Barcelona, Barcelona, Spain
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37
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Pang Y, Shao H, Yang Z, Fan L, Liu W, Shi J, Wang Y, Han Y, Yang L. The (Neutrophils + Monocyte)/Lymphocyte Ratio Is an Independent Prognostic Factor for Progression-Free Survival in Newly Diagnosed Multiple Myeloma Patients Treated With BCD Regimen. Front Oncol 2020; 10:1617. [PMID: 32984029 PMCID: PMC7492571 DOI: 10.3389/fonc.2020.01617] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Accepted: 07/27/2020] [Indexed: 12/17/2022] Open
Abstract
Objective Bortezomib is one of the important drugs that have made breakthrough progress in multiple myeloma (MM) in the past 10 years. However, the heterogeneity of its efficacy makes it difficult to predict the risk of disease progression. The purpose of this study is to determine the prognostic significance of the (neutrophils + monocytes)/lymphocytes ratio (NMLR) in newly diagnosed MM patients who received BCD regimen therapy in terms of progression-free survival (PFS). Methods A total of 150 patients who fulfilled the International Myeloma Working Group (IMWG) criteria were enrolled in the study retrospectively. The prognostic value of NMLR was evaluated by 150 patients with MM who were treated with BCD (bortezomib + cyclophosphamide + dexamethasone) regimen therapy. NMLR was calculated by the ratio of (neutrophils + monocyte) to lymphocytes. According to receiver operating characteristic curves, the cutoff value was 1.90. The patients were divided into high NMLR group (H-NMLR, NMLR ≥1.90) and low NMLR group (L-NMLR, NMLR <1.90). The clinical characteristics, treatment responses and PFS of the two groups were analyzed. Results The median age of the patients was 61 years. Fifty-five (36.67%) patients showed lower NMLR at initial diagnosis. Although NMLR was unable to discriminate prognosis in ISS stage I/II patients, interestingly, the addition of NMLR to the ISS further defined prognosis particularly in stage III. Low-NMLR group who achieved early immune reconstruction significantly higher than that of the high-NMLR group (P < 0.001). NMLR value was 1.98 ± 1.02 for the patients who achieved early immune reconstruction, which was 3.26 ± 2.52 for the patients without immune reconstruction (P < 0.05). Compared with the H-NMLR group, the levels of β2-microglobulin, serum creatinine and calcium were lower, and the very good partial response or better (≥VGPR) ratio was higher in L-NMLR group. The L-NMLR group experienced a superior median PFS compared with the H-NMLR group (24.0 versus 15.5 months; P < 0.001). In addition, several other prognostic factors of PFS were estimated, including the high-risk cytogenetics, β2-microglobulin and the depth of treatment response 3 months after treatment with BCD regimen. Moreover, NMLR was an independent predictor of PFS including non-high risk cytogenetics (0.587; P = 0.031). Conclusion In patients with newly diagnosed MM undergoing BCD regimen, the NMLR <1.90 was an independent prognostic factor for PFS as well as early immune reconstruction and lower disease burden.
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Affiliation(s)
- Yanbin Pang
- Department of Hematology, Affiliated Hospital of Hebei University, Baoding, China.,Department of Hematology-Oncology, General Hospital of Shenzhen University, Shenzhen, China
| | - Hong Shao
- Department of Hematology, Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ziheng Yang
- Medical College, Medical Department of Hebei University, Baoding, China
| | - Lixia Fan
- Department of Hematology, Affiliated Hospital of Hebei University, Baoding, China
| | - Wenwen Liu
- Central Laboratory, Affiliated Hospital of Hebei University, Baoding, China
| | - Jianhong Shi
- Central Laboratory, Affiliated Hospital of Hebei University, Baoding, China
| | - Yuqing Wang
- Department of Cell Morphology, Affiliated Hospital of Hebei University, Baoding, China
| | - Ying Han
- Department of Hematology, Affiliated Hospital of Hebei University, Baoding, China
| | - Lin Yang
- Department of Hematology, Second Hospital of Hebei Medical University, Shijiazhuang, China
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