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Yonghao O, Yongyang W, Siqing Y, Chengchao F, Lihua C, xin L, Shuju T. Establishment of Prognosis Nomogram for Primary Splenic Diffuse Large B Cell Lymphoma: A Study Based on SEER Database. Indian J Hematol Blood Transfus 2024; 40:220-230. [PMID: 38708154 PMCID: PMC11065835 DOI: 10.1007/s12288-023-01706-6] [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: 12/06/2022] [Accepted: 10/04/2023] [Indexed: 05/07/2024] Open
Abstract
Despite being the most common primary tumor of the spleen, in the past, few studies have predicted the prognosis of primary spleen diffuse large B cell lymphoma. This study aimed to establish a nomogram prediction model of overall survival in primary DLBCL of the spleen. We screened out 347 patients with primary splenic DLBCL from surveillance, epidemiology, and end results database. According to the Cox regression results (age, Ann Arbor Stage, splenectomy and chemotherapy was the independent risk factor for primary splenic DLBCL), the nomogram was constructed. We evaluated the predictive ability of nomogram with C-Index (training cohort: 0.719 [0.669-0.769]; validation cohort: 0.711 [0.641-0.781]) and 3-year/5-year receiver operating characteristic area under curve (3-year/5-year ROCAUC, training cohort: 0.731/0.742; validation cohort: 0.721/0.742). Calibratioin plot shows that our predicted values fluctuate around the actual value, indicating good agreement with nomogram. The decision curve analysis (DCA) results showed that our nomogram could benefit more than Ann Arbor Stage for predicts the prognosis of the primary splenic DLBCL. The Kaplan-Meier and landmark analysis showed that a great discrimination between high-risk group and low-risk group (P < 0.05) and indicating that our nomogram has the good ability to identify high-risk patients. In this study, a nomogram prediction model for primary spleen DLBCL was established, which has good ability of prediction and generalization. It can help clinicians carry out individualized treatment measures.
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Affiliation(s)
- Ouyang Yonghao
- Nanchang University, 461 Bayi Avenue, Nanchang, 330006 Jiangxi China
| | - Wei Yongyang
- Nanchang University, 461 Bayi Avenue, Nanchang, 330006 Jiangxi China
| | - Yi Siqing
- Nanchang University, 461 Bayi Avenue, Nanchang, 330006 Jiangxi China
| | - Fu Chengchao
- Nanchang University, 461 Bayi Avenue, Nanchang, 330006 Jiangxi China
| | - Chu Lihua
- Jinggangshan University, Ji’an, 3343000 China
| | - Liu xin
- Gannan Medical University, Ganzhou, 341000 China
| | - Tu Shuju
- Nanchang University, 461 Bayi Avenue, Nanchang, 330006 Jiangxi China
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Liu MK, Cheng LL, Yi HM, He Y, Li X, Fu D, Dai YT, Fang H, Cheng S, Xu PP, Qian Y, Feng Y, Liu Q, Wang L, Zhao WL. Enhanced lipid metabolism confers the immunosuppressive tumor microenvironment in CD5-positive non-MYC/BCL2 double expressor lymphoma. Front Oncol 2022; 12:885011. [PMID: 36276140 PMCID: PMC9583025 DOI: 10.3389/fonc.2022.885011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Lymphoma cells expressing CD5 (CD5+) confer inferior outcome of diffuse large B-cell lymphoma (DLBCL), especially in non–MYC/BCL2 double expressor (non-DE) patients. In tumor microenvironment, CD5+ non-DE tumor revealed increased proportion of immunosuppressive M2 macrophages and enhanced pathways related to macrophage activation and migration. In accordance to M2 activation, lipid metabolism was upregulated, including fatty acid uptake and fatty acid oxidation, which supplied energy for M2 macrophage polarization and activation. Meanwhile, CD36 expression was upregulated and strongly correlated to the proportion of M2 macrophages in CD5+ non-DE DLBCL. In vitro, a DLBCL cell line (LY10) overexpressing CD5 significantly increased M2 proportion in comparison with control when cocultured with peripheral blood mononuclear cells (PBMCs). The addition of metformin significantly decreased the M2 proportion and the CD36 expression level in the coculture systems, indicating that metformin could target altered lipid metabolism and decrease M2 macrophages in DLBCL, especially in CD5+ non-DE lymphoma. In conclusion, enhanced lipid metabolism and M2 macrophage activation contributed to the immunosuppressive tumor microenvironment and could be potential therapeutic targets in CD5+ non-DE DLBCL.
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Affiliation(s)
- Meng-Ke Liu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li-Li Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong-Mei Yi
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang He
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Fu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu-Ting Dai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai Fang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng-Peng Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Qian
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Feng
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Qian Liu
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Li Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Laboratory of Molecular Pathology, Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Shanghai, China
- *Correspondence: Wei-Li Zhao, ; Li Wang,
| | - Wei-Li Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Laboratory of Molecular Pathology, Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Shanghai, China
- *Correspondence: Wei-Li Zhao, ; Li Wang,
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Ma D, Ma Y, Ma Y, Liu J, Gu Y, Liu N, Xiang C, Liu H, Sang W. Molecular subtyping of CD5+ diffuse large B-cell lymphoma based on DNA-targeted sequencing and Lymph2Cx. Front Oncol 2022; 12:941347. [PMID: 36081566 PMCID: PMC9445310 DOI: 10.3389/fonc.2022.941347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCD5-positive diffuse large B-cell lymphoma (CD5+ DLBCL) showed poor prognosis in the rituximab era, with limited research on its genetic characteristics and cell of origin (COO). We aimed to demonstrate the molecular characteristics of CD5+ DLBCL and to discover potential prognostic factors.MethodsWe included 24 cases of CD5+ DLBCL and 23 CD5-negative (CD5-) counterparts and collected their clinicopathological features. Targeted DNA sequencing of 475 lymphoma-related genes was performed, and all cases were assigned to distinct genetic subtypes using the LymphGen tool. The COO was determined by the Lymph2Cx assay. The Kaplan–Meier method and Cox proportional hazards model were applied to identify the possible prognostic factors.ResultsCompared with their CD5- counterparts, patients with CD5+ DLBCL tended to have a worse prognosis and a higher incidence of MYD88L265P and CD79B double mutation (MCD) subtype (54.17%, P = 0.005) and activated B cell-like (ABC) subtype (62.5%, P = 00017), as determined by next-generation sequencing and Lymph2Cx, respectively. Moreover, PIM1, MYD88, and KMT2D mutations were detected more frequently in CD5+ DLBCL cases (P < 0.05). According to multivariate analysis, MYC/BCL2 double expression and ABC subtype were correlated with unfavorable overall survival (OS). High mRNA expression of SERPINA9 and MME showed a significant correlation with a better OS, and high expression of MME showed a significant correlation with better progression-free survival in CD5+ DLBCL.ConclusionThe genetic profile of CD5+ DLBCL is characterized by PIM1, MYD88, and KMT2D mutations, with a higher incidence of MCD and ABC subtypes. MYC/BCL2 double expression, ABC subtype, and mRNA expression of SERPINA9 and MME are independently predictive of the prognosis of CD5+ DLBCL.
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Affiliation(s)
- Dongshen Ma
- Department of Pathology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yuhan Ma
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yuanyuan Ma
- Department of Pathology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jia Liu
- Department of Pathology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Ying Gu
- Department of Pathology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Nian Liu
- Department of Pathology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Chenxi Xiang
- Department of Pathology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Hui Liu
- Department of Pathology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Pathology, Xuzhou Medical University, Xuzhou, China
- *Correspondence: Hui Liu, ; Wei Sang,
| | - Wei Sang
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, China
- *Correspondence: Hui Liu, ; Wei Sang,
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Ma S, Zhang B, Lu T, Li D, Li T, Shen Z, He C, Wang Y, Li B, Zhang H, Gu W, Wang C, Ye J, Zhu T, Miao Y, Wang L, Huang S, Liu Q, Sang W. Value of the prognostic nutritional index (PNI) in patients with newly diagnosed, CD5-positive diffuse large B-cell lymphoma: A multicenter retrospective study of the Huaihai Lymphoma Working Group. Cancer 2022; 128:3487-3494. [PMID: 35932292 DOI: 10.1002/cncr.34405] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/15/2022] [Accepted: 05/28/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND CD5-positive diffuse large B-cell lymphoma (DLBCL) is a clinically rare subtype of DLBCL with aggressive clinical manifestations and a poor prognosis. It has been demonstrated that the prognostic nutritional index (PNI), an indicator of nutritional status and systemic inflammation, is a significant prognostic factor for several types of lymphoma. The objective of this multicenter retrospective study was to explore the prognostic value of the PNI in patients with CD5-positive DLBCL. METHODS In total, 207 patients with CD5-positive DLBCL were recruited from 11 centers of the Huaihai Lymphoma Working Group. Maximally selected rank statistics analysis was used to identify optimal cutoff points for the PNI. A Cox proportional hazards model was used for univariable and multivariable analyses. Kaplan-Meier curves were used to calculate survival rates and draw survival curves, and the log-rank test was used to compare differences between groups. RESULTS The median age at diagnosis was 61 years, and the 5-year overall survival rate was 47.5%. According to the maximally selected rank statistics analysis, a score of 49.7 was the optimal cutoff point for the PNI. Subgroup analysis showed that the PNI could re-stratify patients in BCL-2-negative, MYC-negative, high-intermediate-risk and high-risk International Prognostic Index, BCL-6-positive and BCL-6-negative, high Ki-67 score (≥0.9), Ann Arbor stage III/IV, Eastern Cooperative Oncology Group performance status ≥2, and germinal center B subgroups. Multivariable analysis revealed that PNI, age, Eastern Cooperative Oncology Group performance status, albumin level, and red blood cell count were independent prognostic factors for CD5-positive DLBCL. CONCLUSIONS The PNI was a significant prognostic indicator for CD5-positive DLBCL and was able to re-stratify the prognosis for clinicopathologic subgroups of patients with CD5-positive DLBCL.
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Affiliation(s)
- Sha Ma
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Bingpei Zhang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Tianyi Lu
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Dashan Li
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Tianci Li
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ziyuan Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Chenlu He
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ying Wang
- Department of Personnel, Suqian First Hospital, Suqian, Jiangsu, China
| | - Bingzong Li
- Department of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Hao Zhang
- Department of Hematology, The Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Weiying Gu
- Department of Hematology, The First People's Hospital of Changzhou, Changzhou, Jiangsu, China
| | - Chunling Wang
- Department of Hematology, Huai'an First People's Hospital, Huai'an Jiangsu, China
| | - Jingjing Ye
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Taigang Zhu
- Department of Hematology, The General Hospital of Wanbei Coal-Electric Group, Suzhou, Anhui, China
| | - Yuqing Miao
- Department of Hematology, Yancheng First People's Hospital, Yancheng, Jiangsu, China
| | - Ling Wang
- Department of Hematology, Taian Central Hospital, Taian, Shandong, China
| | - Shuiping Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.,Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Qinhua Liu
- Department of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Wei Sang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
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