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Spiliopoulou P, Kaur P, Hammett T, Di Conza G, Lahn M. Targeting T regulatory (T reg) cells in immunotherapy-resistant cancers. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2024; 7:2. [PMID: 38318526 PMCID: PMC10838381 DOI: 10.20517/cdr.2023.46] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 12/11/2023] [Accepted: 01/09/2024] [Indexed: 02/07/2024]
Abstract
Primary or secondary (i.e., acquired) resistance is a common occurrence in cancer patients and is often associated with high numbers of T regulatory (Treg) cells (CD4+CD25+FOXP3+). The approval of ipilimumab and the development of similar pharmacological agents targeting cell surface proteins on Treg cells demonstrates that such intervention may overcome resistance in cancer patients. Hence, the clinical development and subsequent approval of Cytotoxic T Lymphocyte Antigen-4 (CTLA-4) targeting agents can serve as a prototype for similar agents. Such new agents aspire to be highly specific and have a reduced toxicity profile while increasing effector T cell function or effector T/T regulatory (Teff/Treg) ratio. While clinical development with large molecules has shown the greatest advancement, small molecule inhibitors that target immunomodulation are increasingly entering early clinical investigation. These new small molecule inhibitors often target specific intracellular signaling pathways [e.g., phosphoinositide-3-kinase delta (PI3K-δ)] that play an important role in regulating the function of Treg cells. This review will summarize the lessons currently applied to develop novel clinical agents that target Treg cells.
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Affiliation(s)
- Pavlina Spiliopoulou
- Department of Drug Development Program, Phase I Unit, Beatson West of Scotland Cancer Center, Glasgow G12 0YN, UK
- School of Cancer Sciences, University of Glasgow, Glasgow G61 1BD, UK
| | - Paramjit Kaur
- Department of Oncology Clinical Development, iOnctura SA, Geneva 1202, Switzerland
| | - Tracey Hammett
- Department of Oncology Clinical Development, iOnctura SA, Geneva 1202, Switzerland
| | - Giusy Di Conza
- Department of Oncology Clinical Development, iOnctura SA, Geneva 1202, Switzerland
| | - Michael Lahn
- Department of Oncology Clinical Development, iOnctura SA, Geneva 1202, Switzerland
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2
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Zhao M, Wang L, Wang X, He J, Yu K, Li D. Non-neoplastic cells as prognostic biomarkers in diffuse large B-cell lymphoma: A system review and meta-analysis. TUMORI JOURNAL 2024:3008916231221636. [PMID: 38183180 DOI: 10.1177/03008916231221636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2024]
Abstract
The microenvironment of diffuse large B-cell lymphoma (DLBCL) is composed of various components, including immune cells and immune checkpoints, some of which have been correlated with the prognosis of DLBCL, but their results remain controversial. Therefore, we conducted a systematic review and meta-analysis to investigate the association between the microenvironment and prognosis in DLBCL. We searched PubMed, Web of Science, and EMBASE for relevant articles between 2001 and 2022. Twenty-five studies involving 4495 patients with DLBCL were included in the analysis. This meta-analysis confirmed that high densities of Foxp3+Tregs and PD-1+T cells are good indicators for overall survival (OS) in DLBCL, while high densities of programmed cell death protein ligand1(PD-L1)-positive expression cells and T-cell immunoglobulin-and mucin domain-3-containing molecule 3 (TIM-3)-positive expression tumor-infiltrating cells (TILs) play a contrary role in OS. Additionally, higher numbers of T-cell intracytoplasmic antigen-1(TIA-1)-positive expression T cells imply better OS and progression-free survival (PFS), while high numbers of lymphocyte activation gene(LAG)-positive expression TILs predict bad OS and PFS. Various non-tumoral cells in the microenvironment play important roles in the prognosis of DLBCL.
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Affiliation(s)
- Min Zhao
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Pathology, Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center of Chongqing Medical University, Chongqing, China
| | - Lixing Wang
- Department of Pathology, Chongqing Medical University, Chongqing, China
| | - Xingyu Wang
- Department of Pathology, Chongqing Medical University, Chongqing, China
| | - Juan He
- Department of Pathology, Chongqing Medical University, Chongqing, China
| | - Kuai Yu
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center of Chongqing Medical University, Chongqing, China
- Department of Pathology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Dan Li
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Pathology, Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center of Chongqing Medical University, Chongqing, China
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Yadav M, Uikey BN, Rathore SS, Gupta P, Kashyap D, Kumar C, Shukla D, Vijayamahantesh, Chandel AS, Ahirwar B, Singh AK, Suman SS, Priyadarshi A, Amit A. Role of cytokine in malignant T-cell metabolism and subsequent alternation in T-cell tumor microenvironment. Front Oncol 2023; 13:1235711. [PMID: 37746258 PMCID: PMC10513393 DOI: 10.3389/fonc.2023.1235711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 08/14/2023] [Indexed: 09/26/2023] Open
Abstract
T cells are an important component of adaptive immunity and T-cell-derived lymphomas are very complex due to many functional sub-types and functional elasticity of T-cells. As with other tumors, tissues specific factors are crucial in the development of T-cell lymphomas. In addition to neoplastic cells, T- cell lymphomas consist of a tumor micro-environment composed of normal cells and stroma. Numerous studies established the qualitative and quantitative differences between the tumor microenvironment and normal cell surroundings. Interaction between the various component of the tumor microenvironment is crucial since tumor cells can change the microenvironment and vice versa. In normal T-cell development, T-cells must respond to various stimulants deferentially and during these courses of adaptation. T-cells undergo various metabolic alterations. From the stage of quiescence to attention of fully active form T-cells undergoes various stage in terms of metabolic activity. Predominantly quiescent T-cells have ATP-generating metabolism while during the proliferative stage, their metabolism tilted towards the growth-promoting pathways. In addition to this, a functionally different subset of T-cells requires to activate the different metabolic pathways, and consequently, this regulation of the metabolic pathway control activation and function of T-cells. So, it is obvious that dynamic, and well-regulated metabolic pathways are important for the normal functioning of T-cells and their interaction with the microenvironment. There are various cell signaling mechanisms of metabolism are involved in this regulation and more and more studies have suggested the involvement of additional signaling in the development of the overall metabolic phenotype of T cells. These important signaling mediators include cytokines and hormones. The impact and role of these mediators especially the cytokines on the interplay between T-cell metabolism and the interaction of T-cells with their micro-environments in the context of T-cells lymphomas are discussed in this review article.
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Affiliation(s)
- Megha Yadav
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Blessi N. Uikey
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | | | - Priyanka Gupta
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Diksha Kashyap
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Chanchal Kumar
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Dhananjay Shukla
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Vijayamahantesh
- Department of Immunology and Microbiology, University of Missouri, Columbia, SC, United States
| | - Arvind Singh Chandel
- Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Bunkyo, Japan
| | - Bharti Ahirwar
- Department of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | | | - Shashi Shekhar Suman
- Department of Zoology, Udayana Charya (UR) College, Lalit Narayan Mithila University, Darbhanga, India
| | - Amit Priyadarshi
- Department of Zoology, Veer Kunwar Singh University, Arrah, India
| | - Ajay Amit
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
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Lu G, Jin S, Lin S, Gong Y, Zhang L, Yang J, Mou W, Du J. Update on histone deacetylase inhibitors in peripheral T-cell lymphoma (PTCL). Clin Epigenetics 2023; 15:124. [PMID: 37533111 PMCID: PMC10398948 DOI: 10.1186/s13148-023-01531-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/05/2023] [Indexed: 08/04/2023] Open
Abstract
Peripheral T-cell lymphomas (PTCLs) are a group of highly aggressive malignancies with generally poor prognoses, and the first-line chemotherapy of PTCL has limited efficacy. Currently, several novel targeted agents, including histone deacetylase inhibitors (HDACis), have been investigated to improve the therapeutic outcome of PTCLs. Several HDACis, such as romidepsin, belinostat, and chidamide, have demonstrated favorable clinical efficacy and safety in PTCLs. More novel HDACis and new combination therapies are undergoing preclinical or clinical trials. Mutation analysis based on next-generation sequencing may advance our understanding of the correlation between epigenetic mutation profiles and relevant targeted therapies. Multitargeted HDACis and HDACi-based prodrugs hold promising futures and offer further directions for drug design.
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Affiliation(s)
- Guang Lu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
- Department of Hematology, Shengli Oilfield Central Hospital, Dongying, 257034, Shandong, People's Republic of China
| | - Shikai Jin
- Department of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China
| | - Suwen Lin
- Clinical Research Institute, Shenzhen Peking University - The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036, Guangdong, People's Republic of China
| | - Yuping Gong
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
| | - Liwen Zhang
- Department of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China
| | - Jingwen Yang
- Department of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China
| | - Weiwei Mou
- Department of Pediatrics, Shengli Oilfield Central Hospital, Dongying, 257034, Shandong, People's Republic of China.
| | - Jun Du
- Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, People's Republic of China.
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Zhang C, Wang L, Xu C, Xu H, Wu Y. Resistance mechanisms of immune checkpoint inhibition in lymphoma: Focusing on the tumor microenvironment. Front Pharmacol 2023; 14:1079924. [PMID: 36959853 PMCID: PMC10027765 DOI: 10.3389/fphar.2023.1079924] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 02/24/2023] [Indexed: 03/09/2023] Open
Abstract
Immune checkpoint inhibitors (ICIs) have revolutionized the therapeutic strategies of multiple types of malignancies including lymphoma. However, efficiency of ICIs varies dramatically among different lymphoma subtypes, and durable response can only be achieved in a minority of patients, thus requiring unveiling the underlying mechanisms of ICI resistance to optimize the individualized regimens and improve the treatment outcomes. Recently, accumulating evidence has identified potential prognostic factors for ICI therapy, including tumor mutation burden and tumor microenvironment (TME). Given the distinction between solid tumors and hematological malignancies in terms of TME, we here review the clinical updates of ICIs for lymphoma, and focus on the underlying mechanisms for resistance induced by TME, which play important roles in lymphoma and remarkably influence its sensitivity to ICIs. Particularly, we highlight the value of multiple cell populations (e.g., tumor infiltrating lymphocytes, M2 tumor-associated macrophages, and myeloid-derived suppressor cells) and metabolites (e.g., indoleamine 2, 3-dioxygenase and adenosine) in the TME as prognostic biomarkers for ICI response, and also underline additional potential targets in immunotherapy, such as EZH2, LAG-3, TIM-3, adenosine, and PI3Kδ/γ.
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Affiliation(s)
- Chunlan Zhang
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Leiming Wang
- Shenzhen Bay Laboratory, Center for transnational medicine, Shenzhen, China
| | - Caigang Xu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Heng Xu
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Department of Laboratory Medicine, Research Center of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Heng Xu, ; Yu Wu,
| | - Yu Wu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Heng Xu, ; Yu Wu,
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Bai Y, He T, Zhang L, Liu Q, Yang J, Zhao Z, Yang K, Zhang M. Prognostic value of FOXP3 + regulatory T cells in patients with diffuse large B-cell lymphoma: a systematic review and meta-analysis. BMJ Open 2022; 12:e060659. [PMID: 36691128 PMCID: PMC9454056 DOI: 10.1136/bmjopen-2021-060659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 07/12/2022] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVES We aimed to comprehensively evaluate the relationship between forkhead box P3 (FOXP3+) regulatory T cell (Treg) expression and diffuse large B-cell lymphoma (DLBCL) prognosis and to explore the sources of heterogeneity of the results. DESIGN Systematic review and meta-analysis. DATA SOURCES We searched the Cochrane Library, PubMed, Embase and Web of Science databases up to 5 December 2021. ELIGIBILITY CRITERIA We included studies that analysed the prognostic significance of FOXP3+ Tregs in DLBCL. We included studies reported in Chinese or English that reported HRs and related 95% CIs for prognosis. DATA EXTRACTION AND SYNTHESIS We extracted data from eligible studies. HRs and 95% CIs were used to assess the prognostic value. RESULTS Fourteen eligible studies were identified. FOXP3+ Treg expression was not associated with overall survival (OS) (HR=0.72, 95% CI 0.45 to 1.16) or progression-free survival (HR=0.86, 95% CI 0.54 to 1.38). The three approaches used to measure FOXP3+ Treg expression (pinteraction<0.001) may be the source of the heterogeneity of the results. Subgroup analysis found that a higher expression of FOXP3+ Tregs was associated with better OS in all populations and in Asians when FOXP3+ Treg expression was measured by the number of positive cells (HR=0.36 (95% CI 0.22 to 0.58) in the former, HR=0.33 (95% CI 0.20 to 0.55) in the latter) or the percentage of positive cells (HR=0.49 (95% CI 0.27 to 0.89) in the former, HR=0.38 (95% CI 0.21 to 0.70) in the latter). However, when measured by the score, inverse results were found (HR=1.56, 95% CI 1.01 to 2.42). CONCLUSIONS Approaches to measuring FOXP3+ Treg expression might be the major source of heterogeneity in studies of the prognostic significance of FOXP3+ Tregs in DLBCL. FOXP3+ Treg expression might be used to predict the prognosis of patients with DLBCL when FOXP3+ Treg expression is calculated by the number or the percentage of positive cells, especially in Asian populations.
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Affiliation(s)
- Yuping Bai
- School of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, China
| | - Tingting He
- School of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, China
| | - Liyan Zhang
- Department of Pathology, Hebei Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Cangzhou, China
| | - Qianqian Liu
- School of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, China
| | - Jing Yang
- School of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, China
| | - Ziru Zhao
- School of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, China
| | - Kehu Yang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Min Zhang
- Department of Pathology, Gansu Provincial Hospital, Lanzhou, China
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Maharaj K, Uriepero A, Sahakian E, Pinilla-Ibarz J. Regulatory T cells (Tregs) in lymphoid malignancies and the impact of novel therapies. Front Immunol 2022; 13:943354. [PMID: 35979372 PMCID: PMC9376239 DOI: 10.3389/fimmu.2022.943354] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/11/2022] [Indexed: 11/30/2022] Open
Abstract
Regulatory T cells (Tregs) are responsible for maintaining immune homeostasis by controlling immune responses. They can be characterized by concomitant expression of FoxP3, CD25 and inhibitory receptors such as PD-1 and CTLA-4. Tregs are key players in preventing autoimmunity and are dysregulated in cancer, where they facilitate tumor immune escape. B-cell lymphoid malignancies are a group of diseases with heterogenous molecular characteristics and clinical course. Treg levels are increased in patients with B-cell lymphoid malignancies and correlate with clinical outcomes. In this review, we discuss studies investigating Treg immunobiology in B-cell lymphoid malignancies, focusing on clinical correlations, mechanisms of accumulation, phenotype, and function. Overarching trends suggest that Tregs can be induced directly by tumor cells and recruited to the tumor microenvironment where they suppress antitumor immunity to facilitate disease progression. Further, we highlight studies showing that Tregs can be modulated by novel therapeutic agents such as immune checkpoint blockade and targeted therapies. Treg disruption by novel therapeutics may beneficially restore immune competence but has been associated with occurrence of adverse events. Strategies to achieve balance between these two outcomes will be paramount in the future to improve therapeutic efficacy and safety.
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Affiliation(s)
- Kamira Maharaj
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States
| | - Angimar Uriepero
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States
| | - Eva Sahakian
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States
| | - Javier Pinilla-Ibarz
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States
- *Correspondence: Javier Pinilla-Ibarz,
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Li HN, Wang RC, Chen CH, Chen JP, Yang SF, Chen SW, Chuang SS. Distinctive patterns of marrow involvement by classic Hodgkin lymphoma are clues for diagnosis and subtyping. Virchows Arch 2022; 480:899-907. [PMID: 35122497 DOI: 10.1007/s00428-022-03273-z] [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: 09/09/2021] [Revised: 12/23/2021] [Accepted: 12/30/2021] [Indexed: 11/24/2022]
Abstract
Classic Hodgkin lymphoma (CHL) is a lymphoid neoplasm deriving from B cells in a rich inflammatory background. There are four histological subtypes with different epidemiological features. Bone marrow involvement by CHL is infrequent, and subtyping CHL from the bone marrow is not suggested as there might be discordant histopathology between the primary tumors and bone marrow specimens. In this study, we aimed to identify the histopathological features of bone marrow involved by CHL and tried to correlate these features with their subtypes. Among the 23 recruited cases, the frequencies of mixed cellularity (MC; 48%, 11/23) and nodular sclerosis (NS; 44%, 10/23) were similar. There were two patterns of marrow involvement: pattern A (fibrous), space-occupying lesions with alternating hypo- and hypercellular areas against a fibrotic background with dilated sinusoids and pattern B (histiocyte-rich), ill-defined granuloma-like lesions in which histiocytes merged with normal hematopoietic and inflammatory cells. Pattern A was more frequent in patients with CHL-NS than CHL-MC (100% vs. 18.2%; p < 0.001). Diagnostic Hodgkin cells and Reed-Sternberg (HRS) cells were identified in all cases, while HRS variant lacunar cells were occasionally discovered, particularly in the CHL-NS subtype (NS 100% vs. MC 9%; p < 0.001). The frequency of EBV association was higher in MC (64%) than that in NS (36%) subtype, but not statistically significant. Of the two patterns of marrow involvement, pattern A was more commonly associated with the NS subtype and less frequently associated with EBV. Recognizing the patterns of marrow involvement is important for diagnosis and may contribute to the subtyping of CHL.
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Affiliation(s)
- Hsin-Ni Li
- Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.,Department of Nursing, National Taichung University of Science and Technology, Taichung, Taiwan
| | - Ren Ching Wang
- Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.,Department of Nursing, Hung Kuang University, Taichung, Taiwan
| | - Chuan-Han Chen
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Jun-Peng Chen
- Biostatistics Task Force, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Sheau-Fang Yang
- Department of Pathology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Pathology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Shang-Wen Chen
- Division of Hemato-Oncology, Department of Internal Medicine, Lioying Chi-Mei Hospital, Tainan, Taiwan
| | - Shih-Sung Chuang
- Department of Pathology, Chi-Mei Medical Center, 901 Chung-Hwa Road, Yong-Kang District, Tainan, 71004, Taiwan.
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Sumransub N, Cao Q, Wangen R, Brunstein C, Miller JS, Bachanova V. High Proliferating Regulatory T cells Post-transplant are Associated with Poor Survival in Lymphoma Patients Treated with Autologous Hematopoietic Stem Cell Transplantation. Transplant Cell Ther 2022; 28:184.e1-184.e8. [DOI: 10.1016/j.jtct.2022.01.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 01/11/2022] [Accepted: 01/17/2022] [Indexed: 01/02/2023]
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10
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Mu S, Shi D, Ai L, Fan F, Peng F, Sun C, Hu Y. International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma. Front Immunol 2021; 12:732006. [PMID: 34745101 PMCID: PMC8569825 DOI: 10.3389/fimmu.2021.732006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 09/30/2021] [Indexed: 11/22/2022] Open
Abstract
Background The International Prognostic Index (IPI) is widely used to discriminate the prognosis of patients with diffuse large B-cell lymphoma (DLBCL). However, there is a significant need to identify novel valuable biomarkers in the context of targeted therapy, such as immune checkpoint blockade (ICB). Methods Gene expression data and clinical DLBCL information were obtained from The Cancer Genome Atlas and Gene Expression Omnibus datasets. A total of 371 immune-related genes in DLBCL patients associated with different IPI risk groups were identified by weighted gene co-expression network analysis, and eight genes were selected to construct an IPI-based immune prognostic model (IPI-IPM). Subsequently, we analyzed the somatic mutation and transcription profiles of the IPI-IPM subgroups as well as the potential clinical response to immune checkpoint blockade (ICB) in IPI-IPM subgroups. Results The IPI-IPM was constructed based on the expression of CMBL, TLCD3B, SYNDIG1, ESM1, EPHA3, HUNK, PTX3, and IL12A, where high-risk patients had worse overall survival than low-risk patients, consistent with the results in the independent validation cohorts. The comprehensive results showed that high IPI-IPM risk scores were correlated with immune-related signaling pathways, high KMT2D and CD79B mutation rates, and upregulation of inhibitory immune checkpoints, including PD-L1, BTLA, and SIGLEC7, indicating a greater potential response to ICB therapy. Conclusion The IPI-IPM has independent prognostic significance for DLBCL patients, which provides an immunological perspective to elucidate the mechanisms of tumor progression and sheds light on the development of immunotherapy for DLBCL.
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Affiliation(s)
- Shidai Mu
- Institution of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Deyao Shi
- Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lisha Ai
- Institution of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fengjuan Fan
- Institution of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Peng
- Institution of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunyan Sun
- Institution of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Hu
- Institution of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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11
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Yu H, Fu D, Xu PP, Cheng S, Wang L, Zhang YZ, Zhao WL. Implication of immune cell signature of tumor microenvironment in diffuse large B-cell lymphoma. Hematol Oncol 2021; 39:616-624. [PMID: 34331367 DOI: 10.1002/hon.2905] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 07/08/2021] [Accepted: 07/13/2021] [Indexed: 01/26/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a genetically heterogeneous disease with complex tumor microenvironment (TME) alterations. However, immune cell signatures of TME and their prognostic value remain unclear in DLBCL. We aimed to identify high-risk DLBCL with specific immune cell signatures in TME. Clinical and gene expression data of DLBCL patients were obtained from previously reported retrospective datasets in Gene Expression Omnibus (GSE108466 and GSE5378616 ) and a multi-center prospective clinical trial NHL001 (NCT01852435). Patients treated with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) regimen (n = 159) from GSE10846 were referred as training cohort for CHOP regimen, while patients treated with rituximab-CHOP (R-CHOP) regimen (n = 192) from GSE10846 as training cohort for R-CHOP regimen. Patients from NHL001 (n = 68) and GSE53786 (n = 57) were referred as validation cohorts for R-CHOP regimen. CIBERSORT was applied to estimate the relative proportions of 22 subtype of immune cells. We established a prognostic model for model for R-CHOP regimen included Age, performance status, lactate dehydrogenase, T cells follicular helper and macrophages M0, defining a low-risk group with 2-years OS of 92.9% and a high-risk group with 2-years OS of 52.5% (HR 6.57 [3.27-13.18], p < 0.0001). Immune cell signatures could be used as prognostic markers and provided further insights for individualized immunotherapeutic strategies in DLBCL.
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Affiliation(s)
- Hao Yu
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
| | - Di Fu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng-Peng Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun-Zeng Zhang
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
| | - Wei-Li Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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12
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Ma SY, Tian XP, Cai J, Su N, Fang Y, Zhang YC, Wang JN, Peter Gale R, Cai QQ. A prognostic immune risk score for diffuse large B-cell lymphoma. Br J Haematol 2021; 194:111-119. [PMID: 33942291 DOI: 10.1111/bjh.17478] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/17/2021] [Accepted: 03/22/2021] [Indexed: 11/28/2022]
Abstract
We constructed a prognostic score for persons with diffuse large B-cell lymphoma (DLBCL) based on infiltrating immune cells. Data of 956 consecutive subjects were retrieved from the Gene Expression Omnibus database and assigned to training (GSE10846, n = 305) or validation (GSE87371 n = 206 and GSE117556 n = 445 combined) cohorts. Proportions of non-lymphoma cells in the sample were inferred using the ESTIMATE algorithm. An immune risk score was constructed comprised of eight types of non-lymphoma immune cells calculated using the CIBERSORT algorithm. Five-year survival of subjects with an immune risk score ≤ 0·45 in the training cohort was better than that of subjects with a score > 0·45 (hazard ratio [HR] = 3·99; 95% confidence interval [CI] = 2·74, 5·82; P < 0·001). HR in the validation cohort was HR = 2·17 (1·47, 3·21; P < 0·001). Enrichment analyses indicated correlations with genes controlling immune-related biological processes and pathways. A nomogram comprised of the immune risk score and most covariates including age, lactate dehydrogenase concentration (LDH), lymphoma-type (germinal centre B cell [GCB] versus non-GCB), Eastern Cooperative Oncology Group performance status (ECOG-PS) and rituximab therapy had a C-statistic of 0·76 compared with C-statistics of 0·69 and 0·69 for the International Prognostic Index (IPI) and Revised International Prognostic Index (R-IPI). These data indicate the immune risk score is an accurate, independent survival predictor in persons with DLBCL.
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Affiliation(s)
- Shu-Yun Ma
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Xiao-Peng Tian
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Jun Cai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Ning Su
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Yu Fang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Yu-Chen Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Jin-Ni Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Robert Peter Gale
- Department of Immunology and Inflammation, Centre of Haematology, Imperial College London, London, UK
| | - Qing-Qing Cai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
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