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Khan O, Prakash S, Chung A, Wong SW, Kennedy VE. Monoclonal Gammopathy of Anemic Significance? Resolution of Pure Red Cell Aplasia With Daratumumab-Based Therapy. Am J Med 2024; 137:589-591. [PMID: 38401677 DOI: 10.1016/j.amjmed.2024.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/06/2024] [Accepted: 02/10/2024] [Indexed: 02/26/2024]
Affiliation(s)
- Omar Khan
- Department of Laboratory Medicine, University of California San Francisco Medical Center, San Francisco
| | - Sonam Prakash
- Department of Laboratory Medicine, University of California San Francisco Medical Center, San Francisco
| | - Alfred Chung
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco Medical Center, San Francisco
| | - Sandy W Wong
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco Medical Center, San Francisco
| | - Vanessa E Kennedy
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco Medical Center, San Francisco.
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Malard F, Neri P, Bahlis NJ, Terpos E, Moukalled N, Hungria VTM, Manier S, Mohty M. Multiple myeloma. Nat Rev Dis Primers 2024; 10:45. [PMID: 38937492 DOI: 10.1038/s41572-024-00529-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 06/29/2024]
Abstract
Multiple myeloma (MM) is a haematological lymphoid malignancy involving tumoural plasma cells and is usually characterized by the presence of a monoclonal immunoglobulin protein. MM is the second most common haematological malignancy, with an increasing global incidence. It remains incurable because most patients relapse or become refractory to treatments. MM is a genetically complex disease with high heterogeneity that develops as a multistep process, involving acquisition of genetic alterations in the tumour cells and changes in the bone marrow microenvironment. Symptomatic MM is diagnosed using the International Myeloma Working Group criteria as a bone marrow infiltration of ≥10% clonal plasma cells, and the presence of at least one myeloma-defining event, either standard CRAB features (hypercalcaemia, renal failure, anaemia and/or lytic bone lesions) or biomarkers of imminent organ damage. Younger and fit patients are considered eligible for transplant. They receive an induction, followed by consolidation with high-dose melphalan and autologous haematopoietic cell transplantation, and maintenance therapy. In older adults (ineligible for transplant), the combination of daratumumab, lenalidomide and dexamethasone is the preferred option. If relapse occurs and requires further therapy, the choice of therapy will be based on previous treatment and response and now includes immunotherapies, such as bi-specific monoclonal antibodies and chimeric antigen receptor T cell therapy.
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Affiliation(s)
- Florent Malard
- Sorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France.
| | - Paola Neri
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Nizar J Bahlis
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Evangelos Terpos
- Department of Clinical Therapeutics, Alexandra General Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Nour Moukalled
- Bone Marrow Transplantation Program, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | | | - Salomon Manier
- Department of Hematology, Lille University Hospital and INSERM UMR-S1277 and CNRS UMR9020, Lille, France
| | - Mohamad Mohty
- Sorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France.
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Liu JP, Xu ZY, Wu Y, Shi XJ, Shi M, Li M, Du XR, Yao XC. Which factors are associated with adverse prognosis in multiple myeloma patients after surgery? - preliminary establishment and validation of the nomogram. World J Surg Oncol 2024; 22:168. [PMID: 38918829 PMCID: PMC11202362 DOI: 10.1186/s12957-024-03453-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 06/16/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND To investigate the prognosis of patients with Multiple Myeloma (MM) after surgery, analyze the risk factors leading to adverse postoperative outcomes, and establish a nomogram. METHODS Clinical data from 154 patients with MM who underwent surgery at our institution between 2007 and 2019 were retrospectively analyzed. Assessing and comparing patients' pain levels, quality of life, and functional status before and after surgery (P < 0.05) were considered statistically significant. The Kaplan-Meier survival curve was used to estimate the median survival time. Adverse postoperative outcomes were defined as worsened symptoms, lesion recurrence, complication grade ≥ 2, or a postoperative survival period < 1 year. Logistic regression analysis was used to determine the prognostic factors. Based on the logistic regression results, a nomogram predictive model was developed and calibrated. RESULTS Postoperative pain was significantly alleviated in patients with MM, and there were significant improvements in the quality of life and functional status (P < 0.05). The median postoperative survival was 41 months. Forty-nine patients (31.8%) experienced adverse postoperative outcomes. Multivariate logistic regression analysis identified patient age, duration of MM, International Staging System, preoperative Karnofsky Performance Status, and Hb < 90 g/L as independent factors influencing patient prognosis. Based on these results, a nomogram was constructed, with a C-index of 0.812. The calibration curve demonstrated similarity between the predicted and actual survival curves. Decision curve analysis favored the predictive value of the model at high-risk thresholds from 10% to-69%. CONCLUSION This study developed a nomogram risk prediction model to assist in providing quantifiable assessment indicators for preoperative evaluation of surgical risk.
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Affiliation(s)
- Jun-Peng Liu
- Department of Orthopaedic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Zi-Yu Xu
- Department of Orthopaedic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Yue Wu
- Department of Orthopaedic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Xiang-Jun Shi
- Department of Rheumatology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Ming Shi
- Department of Orthopaedic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Meng Li
- Department of Orthopaedic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Xin-Ru Du
- Department of Orthopaedic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
| | - Xing-Chen Yao
- Department of Orthopaedic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
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Giannakoulas A, Nikolaidis M, Amoutzias GD, Giannakoulas N. A comparative analysis of transcriptomics of newly diagnosed multiple myeloma: exploring drug repurposing. Front Oncol 2024; 14:1390105. [PMID: 38690165 PMCID: PMC11058662 DOI: 10.3389/fonc.2024.1390105] [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: 02/22/2024] [Accepted: 04/01/2024] [Indexed: 05/02/2024] Open
Abstract
Multiple myeloma (MM) is an incurable malignant plasma cell disorder characterized by the infiltration of clonal plasma cells in the bone marrow compartment. Gene Expression Profiling (GEP) has emerged as a powerful investigation tool in modern myeloma research enabling the dissection of the molecular background of MM and allowing the identification of gene products that could potentially serve as targets for therapeutic intervention. In this study we investigated shared transcriptomic abnormalities across newly diagnosed multiple myeloma (NDMM) patient cohorts. In total, publicly available transcriptomic data of 7 studies from CD138+ cells from 281 NDMM patients and 44 healthy individuals were integrated and analyzed. Overall, we identified 28 genes that were consistently differentially expressed (DE) between NDMM patients and healthy donors (HD) across various studies. Of those, 9 genes were over/under-expressed in more than 75% of NDMM patients. In addition, we identified 4 genes (MT1F, PURPL, LINC01239 and LINC01480) that were not previously considered to participate in MM pathogenesis. Meanwhile, by mining three drug databases (ChEMBL, IUPHAR/BPS and DrugBank) we identified 31 FDA-approved and 144 experimental drugs that target 8 of these 28 over/under-expressed MM genes. Taken together, our study offers new insights in MM pathogenesis and importantly, it reveals potential new treatment options that need to be further investigated in future studies.
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Affiliation(s)
- Angelos Giannakoulas
- Department of Hematology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - Marios Nikolaidis
- Bioinformatics Laboratory, Department of Biochemistry & Biotechnology, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - Grigorios D. Amoutzias
- Bioinformatics Laboratory, Department of Biochemistry & Biotechnology, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - Nikolaos Giannakoulas
- Department of Hematology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
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Du J, Lin Z, Fu XH, Gu XR, Lu G, Hou J. Research progress of the chemokine/chemokine receptor axes in the oncobiology of multiple myeloma (MM). Cell Commun Signal 2024; 22:177. [PMID: 38475811 PMCID: PMC10935833 DOI: 10.1186/s12964-024-01544-7] [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: 08/29/2023] [Accepted: 02/25/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND The incidence of multiple myeloma (MM), a type of blood cancer affecting monoclonal plasma cells, is rising. Although new drugs and therapies have improved patient outcomes, MM remains incurable. Recent studies have highlighted the crucial role of the chemokine network in MM's pathological mechanism. Gaining a better understanding of this network and creating an overview of chemokines in MM could aid in identifying potential biomarkers and developing new therapeutic strategies and targets. PURPOSE To summarize the complicated role of chemokines in MM, discuss their potential as biomarkers, and introduce several treatments based on chemokines. METHODS Pubmed, Web of Science, ICTRP, and Clinical Trials were searched for articles and research related to chemokines. Publications published within the last 5 years are selected. RESULTS Malignant cells can utilize chemokines, including CCL2, CCL3, CCL5, CXCL7, CXCL8, CXCL12, and CXCL13 to evade apoptosis triggered by immune cells or medication, escape from bone marrow and escalate bone lesions. Other chemokines, including CXCL4, CCL19, and CXCL10, may aid in recruiting immune cells, increasing their cytotoxicity against cancer cells, and inducing apoptosis of malignant cells. CONCLUSION Utilizing anti-tumor chemokines or blocking pro-tumor chemokines may provide new therapeutic strategies for managing MM. Inspired by developed CXCR4 antagonists, including plerixafor, ulocuplumab, and motixafortide, more small molecular antagonists or antibodies for pro-tumor chemokine ligands and their receptors can be developed and used in clinical practice. Along with inhibiting pro-tumor chemokines, studies suggest combining chemokines with chimeric antigen receptor (CAR)-T therapy is promising and efficient.
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Affiliation(s)
- Jun Du
- Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Zheng Lin
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xue-Hang Fu
- Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Xiao-Ran Gu
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Guang Lu
- Department of Hematology, Shengli Oilfield Central Hospital, Dongying, 257099, China.
| | - Jian Hou
- Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
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Czerwińska-Ledwig O, Jurczyszyn A, Piotrowska A, Pilch W, Antosiewicz J, Żychowska M. The Effect of a Six-Week Nordic Walking Training Cycle on Oxidative Damage of Macromolecules and Iron Metabolism in Older Patients with Multiple Myeloma in Remission-Randomized Clinical Trial. Int J Mol Sci 2023; 24:15358. [PMID: 37895038 PMCID: PMC10607094 DOI: 10.3390/ijms242015358] [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: 07/15/2023] [Revised: 09/17/2023] [Accepted: 10/07/2023] [Indexed: 10/29/2023] Open
Abstract
Multiple myeloma (MM) is an incurable hematologic malignancy originating from clonal plasma cell proliferation within the bone marrow, predominantly affecting older individuals. While anemia serves as a diagnostic criterion for MM, it often ameliorates upon achieving disease remission. Iron metabolism parameters have emerged as potential prognostic indicators in MM. Notably, physical exercise has been established to influence iron metabolism. This study aimed to assess alterations in serum iron, ferritin, and transferrin concentrations, as well as leukocyte gene expression, in MM patients undergoing a six-week cycle of Nordic walking training. Thirty patients divided into an exercise group (NW, n = 15, mean age 63.1 ± 8.4 years) and a control group (CG, n = 15, mean age: 63.5 ± 3.6 years) completed the study protocol. Blood samples were collected at baseline, after three and six weeks of training, and after nine weeks. Serum ferritin, transferrin, and iron concentrations were measured, along with the leukocyte expression of genes. Additionally, serum oxidative damage marker levels were determined. Following the Nordic walking training cycle, a declining trend in serum ferritin concentrations was observed. Intracellular mRNA levels of genes associated with iron metabolism were positively influenced by the training regimen, indicating the potential impact of this physical activity on gene expression and ferritin concentrations. Although positive trends were noted, extended training periods might be requisite for significant changes. To conclude, moderate-intensity exercise induces favorable shifts in the analyzed parameters among MM patients, potentially influencing disease progression. Consequently, Nordic walking training is a safe recommendation for MM patients, though sustained training beyond six weeks could be necessary for notable effects on iron metabolism factors.
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Affiliation(s)
- Olga Czerwińska-Ledwig
- Department of Chemistry and Biochemistry, Institute of Basics Sciences, Faculty of Physiotherapy, University of Physical Education, 31-571 Kraków, Poland; (O.C.-L.); (A.P.); (W.P.)
| | - Artur Jurczyszyn
- Plasma Cell Dyscrasia Center, Department of Hematology, Faculty of Medicine, Jagiellonian University Medical College, 31-501 Krakow, Poland;
| | - Anna Piotrowska
- Department of Chemistry and Biochemistry, Institute of Basics Sciences, Faculty of Physiotherapy, University of Physical Education, 31-571 Kraków, Poland; (O.C.-L.); (A.P.); (W.P.)
| | - Wanda Pilch
- Department of Chemistry and Biochemistry, Institute of Basics Sciences, Faculty of Physiotherapy, University of Physical Education, 31-571 Kraków, Poland; (O.C.-L.); (A.P.); (W.P.)
| | - Jędrzej Antosiewicz
- Department of Bioenergetics and Exercise Physiology, Medical University of Gdansk, 80-210 Gdansk, Poland
| | - Małgorzata Żychowska
- Department of Biological Foundations of Physical Culture, Faculty of Health Science and Physical Culture, Kazimierz Wielki University, 85-091 Bydgoszcz, Poland;
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Staskiewicz A, Wong E, Tucker M, Farhin R, Park J, Saade R, Alkhazali T, Dang T, Wang X. Cytotoxic and Apoptotic Effects of Pinostilbene and Bortezomib Combination Treatment on Human Multiple Myeloma Cells. Int J Mol Sci 2023; 24:12590. [PMID: 37628771 PMCID: PMC10454535 DOI: 10.3390/ijms241612590] [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: 03/20/2023] [Revised: 08/01/2023] [Accepted: 08/06/2023] [Indexed: 08/27/2023] Open
Abstract
Multiple myeloma (MM) is a cancer of plasma cells in the bone marrow characterized by bone lesions, hypercalcemia, anemia, and renal failure. Bortezomib (BTZ), a common treatment for MM, is a proteasome inhibitor that induces apoptosis in MM cells. However, high doses of BTZ can be very toxic, signifying a need for a synergistic drug combination to improve treatment efficacy. Resveratrol (RES), a phenolic compound found in grapes, has been shown to inhibit MM cell growth. We sought to identify a synergistic combination of BTZ with a RES derivative and analyze the effects on reducing viability and inducing apoptosis in human MM cells. BTZ as well as RES and its derivatives pinostilbene (PIN) and piceatannol (PIC) decreased MM cell viability in a dose- and time-dependent manner and increased expression of cleaved proapoptotic proteins poly(ADP-ribose) polymerase 1 (PARP1) and caspase-3 in a dose-dependent manner. The combination of 5 nM BTZ and 5 μM PIN was identified to have synergistic cytotoxic effects in MM RPMI 8226 cells. MM RPMI 8226 cells treated with this combination for 24 h showed increased cleaved PARP1 and caspase-3 expression and higher percentages of apoptotic cells versus cells treated with the individual compounds alone. The treatment also showed increased apoptosis induction in MM RPMI 8226 cells co-cultured with human bone marrow stromal HS-5 cells in a Transwell model used to mimic the bone marrow microenvironment. Expression of oxidative stress defense proteins (catalase, thioredoxin, and superoxide dismutase) in RPMI 8226 cells were reduced after 24 h treatment, and cytotoxic effects of the treatment were ameliorated by antioxidant N-acetylcysteine (NAC), suggesting the treatment impacts antioxidant levels in RPMI 8226 cells. Our results suggest that this combination of BTZ and PIN decreases MM cell viability synergistically by inducing apoptosis and oxidative stress in MM cells.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Xinyu Wang
- Department of Pharmaceutical Sciences, College of Pharmacy, Philadelphia College of Osteopathic Medicine–Georgia Campus, Suwanee, GA 30024, USA; (A.S.)
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Wang Q, Poole RA, Opyrchal M. Understanding and targeting erythroid progenitor cells for effective cancer therapy. Curr Opin Hematol 2023; 30:137-143. [PMID: 37052294 PMCID: PMC10242517 DOI: 10.1097/moh.0000000000000762] [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] [Indexed: 04/14/2023]
Abstract
PURPOSE OF REVIEW It is well described that tumor-directed aberrant myelopoiesis contributes to the generation of various myeloid populations with tumor-promoting properties. A growing number of recent studies have revealed the importance of the previously unappreciated roles of erythroid progenitor cells (EPCs) in the context of cancer, bringing the updated concept that altered erythropoiesis also facilitates tumor growth and progression. Better characterization of EPCs may provide attractive therapeutic opportunities. RECENT FINDINGS EPCs represent a heterogeneous population. They exhibit crucial pro-tumor activities by secreting growth factors and modulating the immune response. Cancers induce potent EPC expansion and suppress their differentiation. Recent single-cell transcriptome and lineage tracking analyses have provided novel insight that tumor-induced EPCs are able to be transdifferentiated into immunosuppressive myeloid cells to limit T-cell function and immunotherapy. Therapeutic strategies targeting key factors of EPC-driven immunosuppression, reducing the amount of EPCs, and promoting EPC differentiation and maturation have been extensively investigated. SUMMARY This review summarizes the current state of knowledge as to the fascinating biology of EPCs, highlights mechanisms by which they exert the tumor promoting activities, as well as the perspectives on future directions and strategies to target these cells for potential therapeutic benefit.
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Affiliation(s)
- Qingfei Wang
- Division of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, USA
| | - Rylee A. Poole
- Division of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, USA
| | - Mateusz Opyrchal
- Division of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, USA
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Fang T, Sun H, Sun X, He Y, Tang P, Gong L, Yu Z, Liu L, Xie S, Wang T, Xu Z, Yi S, An G, Xu Y, Zhu G, Qiu L, Hao M. Exosome miRNAs profiling in serum and prognostic evaluation in patients with multiple myeloma. BLOOD SCIENCE 2023; 5:196-208. [PMID: 37546707 PMCID: PMC10400059 DOI: 10.1097/bs9.0000000000000160] [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: 12/14/2022] [Accepted: 04/18/2023] [Indexed: 08/08/2023] Open
Abstract
MicroRNAs (MiRNAs) carried by exosomes play pivotal roles in the crosstalk between cell components in the tumor microenvironment. Our study aimed at identifying the expression profile of exosomal miRNAs (exo-miRNAs) in the serum of multiple myeloma (MM) patients and investigating the regulation networks and their potential functions by integrated bioinformatics analysis. Exosomes in serum from 19 newly diagnosed MM patients and 9 healthy donors were isolated and the miRNA profile was investigated by small RNA sequencing. Differential expression of exo-miRNAs was calculated and target genes of miRNAs were predicted. CytoHubba was applied to identify the hub miRNAs and core target genes. The LASSO Cox regression model was used to develop the prognostic model, and the ESTIMATE immune score was calculated to investigate the correlation between the model and immune status in MM patients. The top six hub differentially expressed serum exo-miRNAs were identified. 513 target genes of the six hub exo-miRNAs were confirmed to be differentially expressed in MM cells in the Zhan Myeloma microarray dataset. Functional enrichment analysis indicated that these target genes were mainly involved in mRNA splicing, cellular response to stress, and deubiquitination. 13 core exo-miRNA target genes were applied to create a novel prognostic signature to provide risk stratification for MM patients, which is associated with the immune microenvironment of MM patients. Our study comprehensively investigated the exo-miRNA profiles in MM patients. A novel prognostic signature was constructed to facilitate the risk stratification of MM patients with distinct outcomes.
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Affiliation(s)
- Teng Fang
- 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 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Hao Sun
- 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 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Xiyue Sun
- 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 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yi He
- 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 300020, China
| | - Peixia Tang
- Hematology Department, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fuzhou 350001, China
| | - Lixin Gong
- 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 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Zhen Yu
- 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 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Lanting Liu
- 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 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Shiyi Xie
- 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 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Tingyu 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 300020, China
| | - Zhenshu Xu
- Hematology Department, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fuzhou 350001, China
| | - Shuhua Yi
- 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 300020, China
| | - Gang An
- 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 300020, China
| | - Yan Xu
- 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 300020, China
| | - Guoqing Zhu
- 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 300020, China
| | - Lugui Qiu
- 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 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
- Gobroad Healthcare Group, Beijing 100072, China
| | - Mu Hao
- 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 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
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10
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Lee NYS, Li M, Ang KS, Chen J. Establishing a human bone marrow single cell reference atlas to study ageing and diseases. Front Immunol 2023; 14:1127879. [PMID: 37006302 PMCID: PMC10050687 DOI: 10.3389/fimmu.2023.1127879] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/20/2023] [Indexed: 03/17/2023] Open
Abstract
IntroductionAgeing in the human bone marrow is associated with immune function decline that results in the elderly being vulnerable to illnesses. A comprehensive healthy bone marrow consensus atlas can serve as a reference to study the immunological changes associated with ageing, and to identify and study abnormal cell states.MethodsWe collected publicly available single cell transcriptomic data of 145 healthy samples encompassing a wide spectrum of ages ranging from 2 to 84 years old to construct our human bone marrow atlas. The final atlas has 673,750 cells and 54 annotated cell types.ResultsWe first characterised the changes in cell population sizes with respect to age and the corresponding changes in gene expression and pathways. Overall, we found significant age-associated changes in the lymphoid lineage cells. The naïve CD8+ T cell population showed significant shrinkage with ageing while the effector/memory CD4+ T cells increased in proportion. We also found an age-correlated decline in the common lymphoid progenitor population, in line with the commonly observed myeloid skew in haematopoiesis among the elderly. We then employed our cell type-specific ageing gene signatures to develop a machine learning model that predicts the biological age of bone marrow samples, which we then applied to healthy individuals and those with blood diseases. Finally, we demonstrated how to identify abnormal cell states by mapping disease samples onto the atlas. We accurately identified abnormal plasma cells and erythroblasts in multiple myeloma samples, and abnormal cells in acute myeloid leukaemia samples.DiscussionThe bone marrow is the site of haematopoiesis, a highly important bodily process. We believe that our healthy bone marrow atlas is a valuable reference for studying bone marrow processes and bone marrow-related diseases. It can be mined for novel discoveries, as well as serve as a reference scaffold for mapping samples to identify and investigate abnormal cells.
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Affiliation(s)
- Nicole Yee Shin Lee
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Mengwei Li
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kok Siong Ang
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jinmiao Chen
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Immunology Translational Research Program, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
- *Correspondence: Jinmiao Chen,
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11
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Xu Y, Mao X, Que Y, Xu M, Li C, Almeida VDF, Wang D, Li C. The exploration of B cell maturation antigen expression in plasma cell dyscrasias beyond multiple myeloma. BMC Cancer 2023; 23:123. [PMID: 36750969 PMCID: PMC9903528 DOI: 10.1186/s12885-023-10591-1] [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: 10/15/2022] [Accepted: 01/30/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND B cell maturation antigen (BCMA) targeted immunotherapies have demonstrated remarkable clinical efficacy in multiple myeloma (MM). Here, we evaluated the BCMA expression in MM and other plasma cell dyscrasias (PCDs), hoping to provide a potential treatment strategy for the relapsed/refractory PCDs besides MM. METHODS From January 2018 to August 2021, 377 patients with PCDs were enrolled in this study, including 334 MM, 21 systemic light chain amyloidosis (AL), 5 POEMS syndrome, 14 monoclonal gammopathy of undetermined significance (MGUS), and three monoclonal gammopathy of renal significance (MGRS). The membrane-bound BCMA expression measured by multiparameter flow cytometry was defined by BCMA positivity rate and the mean fluorescence intensity (MFI). RESULTS The patients with MM had a median BCMA positive rate of 88.55% (range, 0.2% - 99.9%) and median BCMA MFI of 1281 (range, 109 - 48586). While the median BCMA positive rate in other PCDs was 55.8% (6.2% -98.9%), and the median BCMA MFI was 553 (182- 5930). BCMA expression level was negatively associated with hemoglobin concentration in multivariate analysis in terms of BCMA positive rate and MFI. CONCLUSIONS In conclusion, BCMA has the potential to be a therapeutic target for other PCDs besides MM.
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Affiliation(s)
- Yanjie Xu
- grid.412793.a0000 0004 1799 5032Department of Hematology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, 1095 Jie-Fang Avenue, Wuhan, Hubei 430030 P. R. China
| | - Xia Mao
- grid.412793.a0000 0004 1799 5032Department of Hematology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, 1095 Jie-Fang Avenue, Wuhan, Hubei 430030 P. R. China ,Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, 430030 Hubei China
| | - Yimei Que
- grid.412793.a0000 0004 1799 5032Department of Hematology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, 1095 Jie-Fang Avenue, Wuhan, Hubei 430030 P. R. China
| | - Menglei Xu
- grid.412793.a0000 0004 1799 5032Department of Hematology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, 1095 Jie-Fang Avenue, Wuhan, Hubei 430030 P. R. China
| | - Chunhui Li
- grid.412793.a0000 0004 1799 5032Department of Hematology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, 1095 Jie-Fang Avenue, Wuhan, Hubei 430030 P. R. China
| | | | - Di Wang
- Department of Hematology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, 1095 Jie-Fang Avenue, Wuhan, Hubei, 430030, P. R. China. .,Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, 430030, Hubei, China.
| | - Chunrui Li
- Department of Hematology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, 1095 Jie-Fang Avenue, Wuhan, Hubei, 430030, P. R. China. .,Immunotherapy Research Center for Hematologic Diseases of Hubei Province, Wuhan, 430030, Hubei, China.
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12
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Rahman M, Keegan A, Mateus J, Kim C. Real-world assessment of the treatment patterns and outcomes among patients with multiple myeloma across different risk stratification criteria in the United States: a retrospective cohort study. Leuk Lymphoma 2023; 64:388-397. [PMID: 36371167 DOI: 10.1080/10428194.2022.2140283] [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: 11/15/2022]
Abstract
This study evaluated prognostic performance of International Staging System (ISS), revised ISS, and chromosomal abnormalities (CA) in newly diagnosed multiple myeloma patients to describe treatment patterns (cohort 1; n = 1979) and survival outcomes (cohort 2; n = 1382). In both cohorts, ∼18%, 41%, and 37% of patients were high-risk according to the R-ISS, ISS, and high-risk CA criteria, respectively. Across all risk stratification criteria, 60% of patients received triplets. In cohort 2, the median modified progression-free survival decreased with each increasing risk stage (23.5, 12.1, and 8.8 months in R-ISS I, II, and III, respectively, and 16.0, 12.7, and 10.4 months in ISS I, II, and III). Similar trends were observed in the proportions of two-year overall survival. In conclusion, R-ISS has greater discriminatory power than ISS or high-risk CA alone and can be implemented in a real-world setting. Accordingly, a more risk-adapted approach can be feasible, with a greater population-level impact.
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13
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Pilcher W, Thomas BE, Bhasin SS, Jayasinghe RG, Yao L, Gonzalez-Kozlova E, Dasari S, Kim-Schulze S, Rahman A, Patton J, Fiala M, Cheloni G, Kourelis T, Dhodapkar MV, Vij R, Mehr S, Hamilton M, Cho HJ, Auclair D, Avigan DE, Kumar SK, Gnjatic S, Ding L, Bhasin M. Cross center single-cell RNA sequencing study of the immune microenvironment in rapid progressing multiple myeloma. NPJ Genom Med 2023; 8:3. [PMID: 36702834 PMCID: PMC9879959 DOI: 10.1038/s41525-022-00340-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 11/18/2022] [Indexed: 01/27/2023] Open
Abstract
Despite advancements in understanding the pathophysiology of Multiple Myeloma (MM), the cause of rapid progressing disease in a subset of patients is still unclear. MM's progression is facilitated by complex interactions with the surrounding bone marrow (BM) cells, forming a microenvironment that supports tumor growth and drug resistance. Understanding the immune microenvironment is key to identifying factors that promote rapid progression of MM. To accomplish this, we performed a multi-center single-cell RNA sequencing (scRNA-seq) study on 102,207 cells from 48 CD138- BM samples collected at the time of disease diagnosis from 18 patients with either rapid progressing (progression-free survival (PFS) < 18 months) or non-progressing (PFS > 4 years) disease. Comparative analysis of data from three centers demonstrated similar transcriptome profiles and cell type distributions, indicating subtle technical variation in scRNA-seq, opening avenues for an expanded multicenter trial. Rapid progressors depicted significantly higher enrichment of GZMK+ and TIGIT+ exhausted CD8+ T-cells (P = 0.022) along with decreased expression of cytolytic markers (PRF1, GZMB, GNLY). We also observed a significantly higher enrichment of M2 tolerogenic macrophages in rapid progressors and activation of pro-proliferative signaling pathways, such as BAFF, CCL, and IL16. On the other hand, non-progressive patients depicted higher enrichment for immature B Cells (i.e., Pre/Pro B cells), with elevated expression for markers of B cell development (IGLL1, SOX4, DNTT). This multi-center study identifies the enrichment of various pro-tumorigenic cell populations and pathways in those with rapid progressing disease and further validates the robustness of scRNA-seq data generated at different study centers.
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Affiliation(s)
- William Pilcher
- Aflac Cancer and Blood Disorders Center, Atlanta, GA, USA
- Coulter Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
| | - Beena E Thomas
- Aflac Cancer and Blood Disorders Center, Atlanta, GA, USA
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | - Swati S Bhasin
- Aflac Cancer and Blood Disorders Center, Atlanta, GA, USA
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | - Reyka G Jayasinghe
- Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA
| | - Lijun Yao
- Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA
| | - Edgar Gonzalez-Kozlova
- Human Immune Monitoring Center, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Surendra Dasari
- Division of Biomedical Statistics & Informatics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adeeb Rahman
- Human Immune Monitoring Center, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Mark Fiala
- Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA
| | - Giulia Cheloni
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Madhav V Dhodapkar
- Department of Hematology/Medical Oncology Emory University School of Medicine, Atlanta, GA, USA
- Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Ravi Vij
- Washington University School of Medicine, St Louis, MO, USA
| | - Shaadi Mehr
- Multiple Myeloma Research Foundation (MMRF), Norwalk, CT, USA
| | - Mark Hamilton
- Multiple Myeloma Research Foundation (MMRF), Norwalk, CT, USA
| | - Hearn Jay Cho
- Human Immune Monitoring Center, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
- Multiple Myeloma Research Foundation (MMRF), Norwalk, CT, USA
| | - Daniel Auclair
- Multiple Myeloma Research Foundation (MMRF), Norwalk, CT, USA
| | - David E Avigan
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Shaji K Kumar
- Mayo Clinic Rochester, Division of Hematology, Rochester, MN, USA
| | - Sacha Gnjatic
- Human Immune Monitoring Center, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Li Ding
- Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA
| | - Manoj Bhasin
- Aflac Cancer and Blood Disorders Center, Atlanta, GA, USA.
- Coulter Department of Biomedical Engineering, Emory University, Atlanta, GA, USA.
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA.
- Winship Cancer Institute, Emory University, Atlanta, GA, USA.
- Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA.
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14
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Lv J, Sun H, Gong L, Wei X, He Y, Yu Z, Liu L, Yi S, Sui W, Xu Y, Deng S, An G, Yao Z, Qiu L, Hao M. Aberrant metabolic processes promote the immunosuppressive microenvironment in multiple myeloma. Front Immunol 2022; 13:1077768. [PMID: 36532059 PMCID: PMC9748558 DOI: 10.3389/fimmu.2022.1077768] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 11/14/2022] [Indexed: 12/05/2022] Open
Abstract
Introduction Multiple myeloma (MM) is still an incurable plasma cell malignancy. The efficacy of immunotherapy on MM remains unsatisfactory, and the underlying molecular mechanisms still are not fully understood. Methods In this study, we delineated the dynamic features of immune cell in MM bone marrow (BM) along with elevated tumor cell infiltration by single-cell RNA sequencing (scRNA-seq), and investigated the underlying mechanisms on dysfunction of immune cells associated with myelomagenesis. Results We found that immune cells were activated in those patients with low infiltration of tumor cells, meanwhile suppressed with elevated infiltration of MM cells, which facilitated MM escaping from immune surveillance. Besides PD-1, abnormal expression of PIM kinases, KLRB1 and KLRC1 were involved in the defect of immune cells in MM patients. Importantly, we found aberrant metabolic processes were associated with the immunosuppressive microenvironment in MM patients. Disordered amino acid metabolism promoted the dysfunction of cytotoxicity CD8 T cells as well as lipid metabolism disorder was associated with the dysregulation of NK and DCs in MM. As metabolic checkpoints, PIM kinases would be potential effective strategies for MM immunotherapy. Discussion In summary, redressing the disordered metabolism should be the key points to get promising effects in immune-based therapies.
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Affiliation(s)
- Junqiang Lv
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China,Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), Department of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Hao Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Lixin Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Xiaojing Wei
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Yi He
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Zhen Yu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China,Tianjin Institutes of Health Science, Tianjin, China
| | - Lanting Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China,Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China,Tianjin Institutes of Health Science, Tianjin, China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China,Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China,Tianjin Institutes of Health Science, Tianjin, China
| | - Zhi Yao
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), Department of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China,Tianjin Institutes of Health Science, Tianjin, China,*Correspondence: Mu Hao, ; Lugui Qiu,
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China,Tianjin Institutes of Health Science, Tianjin, China,*Correspondence: Mu Hao, ; Lugui Qiu,
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15
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A Rare Case of Acute Hemolytic Anemia in a Patient with Newly Diagnosed Multiple Myeloma: Maintaining a Fine Balance between Occam's Razor and Hickam's Dictum. Indian J Med Paediatr Oncol 2022. [DOI: 10.1055/s-0042-1753500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
AbstractAnemia is a common feature in multiple myeloma and is multifactorial. A 52-year-old lady was admitted to our hospital with complaints of fatigue, exertional dyspnea, paresthesia, and a recent-onset confusion state. Fundus examination revealed features of hyperviscosity. The patient received 2 units of packed red blood cell transfusion (PRBC) before the present hospital admission. Laboratory investigations revealed severe anemia and thrombocytopenia. The M-protein was 5.8 g/dL. Bone marrow showed sheets of plasma cells. Immunofixation electrophoresis confirmed the presence of an IgAλ band. FISH was positive for IgH-FGFR3 fusion. The investigations confirmed multiple myeloma R-ISS stage III. The patient was immediately started on CyBorD chemotherapy regimen. The patient had indirect hyperbilirubinemia and symptomatic anemia. Initial testing of the patient's sample showed blood grouping discrepancy with DCT, ICT, and auto control positive. The symptomatic anemia persisted requiring PRC transfusions. Further antibody study revealed the presence of anti-Jka antibody—a warm IgG antibody and cold antibody. Subsequently, the patient received Jka antigen-negative B-positive compatible PRBC transfusions and the hemoglobin normalized. Our patient had transfusion-associated alloimmunization along with hyperviscosity. The timely recognition and early institution of plasmapheresis and myeloma-directed therapy along with transfusion of compatible Jka antigen-negative PRBC lead to rapid improvement.
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16
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Yu Z, Wei X, Liu L, Sun H, Fang T, Wang L, Li Y, Sui W, Wang K, He Y, Zhao Y, Huang W, An G, Meng F, Huang C, Yu T, Anderson KC, Cheng T, Qiu L, Hao M. Indirubin-3'-monoxime acts as proteasome inhibitor: Therapeutic application in multiple myeloma. EBioMedicine 2022; 78:103950. [PMID: 35344764 PMCID: PMC8958548 DOI: 10.1016/j.ebiom.2022.103950] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 02/26/2022] [Accepted: 03/07/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Multiple myeloma (MM) is still an incurable malignancy of plasma cells. Proteasome inhibitors (PIs) work as the backbone agent and have greatly improved the outcome in majority of newly diagnosed patients with myeloma. However, drug resistance remains the major obstacle causing treatment failure in clinical practice. Here, we investigated the effects of Indirubin-3'-monoxime (I3MO), one of the derivatives of Indirubin, in the treatment of MM. METHODS MM patient primary samples and human cell lines were examined. I3MO effects on myeloma treatment and the underling molecular mechanisms were investigated via in vivo and in vitro study. FINDINGS Our results demonstrated the anti-MM activity of I3MO in both drug- sensitive and -resistance MM cells. I3MO sensitizes MM cells to bortezomib-induced apoptosis. Mechanistically, I3MO acts as a multifaceted regulator of cell death, which induced DNA damage, cell cycle arrest, and abrogates NF-κB activation. I3MO efficiently down-regulated USP7 expression, promoted NEK2 degradation, and suppressed NF-κB signaling in MM. Our study reported that I3MO directly bound with and caused the down-regulation of PA28γ (PSME3), and PA200 (PSME4), the proteasome activators. Knockdown of PSME3 or PSME4 caused the inhibition of proteasome capacity and the overload of paraprotein, which sensitizes MM cells to bortezomib-mediated growth arrest. Clinical data demonstrated that PSME3 and PSME4 are over-expressed in relapsed/refractory MM (RRMM) and associated with inferior outcome. INTERPRETATION Altogether, our study indicates that I3MO is agent triggering proteasome inhibition and represents a promising therapeutic strategy to improve patient outcome in MM. FUNDINGS A full list of funding can be found in the acknowledgements.
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Affiliation(s)
- Zhen Yu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Xiaojing Wei
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Lanting Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Hao Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Teng Fang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Lu Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Ying Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Kefei Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Yi He
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Yaozhong Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Wenyang Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Fancui Meng
- Tianjin Key Laboratory of Molecular Design and Drug Discovery, Tianjin Institute of Pharmaceutical Research, Tianjin 300301, PR China; State Key Laboratory of Drug Delivery Technology and Pharmacokinetics, Tianjin Institute of Pharmaceutical Research, Tianjin 300301, PR China
| | - Changjiang Huang
- Tianjin Key Laboratory of Molecular Design and Drug Discovery, Tianjin Institute of Pharmaceutical Research, Tianjin 300301, PR China; State Key Laboratory of Drug Delivery Technology and Pharmacokinetics, Tianjin Institute of Pharmaceutical Research, Tianjin 300301, PR China
| | - Tengteng Yu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Kenneth C Anderson
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China.
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Hai he Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China.
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17
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Gilchrist A, Echeverria SL. Targeting Chemokine Receptor CCR1 as a Potential Therapeutic Approach for Multiple Myeloma. Front Endocrinol (Lausanne) 2022; 13:846310. [PMID: 35399952 PMCID: PMC8991687 DOI: 10.3389/fendo.2022.846310] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 02/08/2022] [Indexed: 02/01/2023] Open
Abstract
Multiple myeloma is an incurable plasma B-cell malignancy with 5-year survival rates approximately 10-30% lower than other hematologic cancers. Treatment options include combination chemotherapy followed by autologous stem cell transplantation. However, not all patients are eligible for autologous stem cell transplantation, and current pharmacological agents are limited in their ability to reduce tumor burden and extend multiple myeloma remission times. The "chemokine network" is comprised of chemokines and their cognate receptors, and is a critical component of the normal bone microenvironment as well as the tumor microenvironment of multiple myeloma. Antagonists targeting chemokine-receptor 1 (CCR1) may provide a novel approach for treating multiple myeloma. In vitro CCR1 antagonists display a high degree of specificity, and in some cases signaling bias. In vivo studies have shown they can reduce tumor burden, minimize osteolytic bone damage, deter metastasis, and limit disease progression in multiple myeloma models. While multiple CCR1 antagonists have entered the drug pipeline, none have entered clinical trials for treatment of multiple myeloma. This review will discuss whether current CCR1 antagonists are a viable treatment option for multiple myeloma, and studies aimed at identifying which CCR1 antagonist(s) are most appropriate for this disease.
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Affiliation(s)
- Annette Gilchrist
- College of Pharmacy-Downers Grove, Department of Pharmaceutical Sciences, Midwestern University, Downers Grove, IL, United States
- *Correspondence: Annette Gilchrist,
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18
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Grzywa TM, Sosnowska A, Rydzynska Z, Lazniewski M, Plewczynski D, Klicka K, Malecka-Gieldowska M, Rodziewicz-Lurzynska A, Ciepiela O, Justyniarska M, Pomper P, Grzybowski MM, Blaszczyk R, Wegrzynowicz M, Tomaszewska A, Basak G, Golab J, Nowis D. Potent but transient immunosuppression of T-cells is a general feature of CD71 + erythroid cells. Commun Biol 2021; 4:1384. [PMID: 34893694 PMCID: PMC8664950 DOI: 10.1038/s42003-021-02914-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 11/23/2021] [Indexed: 02/08/2023] Open
Abstract
CD71+ erythroid cells (CECs) have been recently recognized in both neonates and cancer patients as potent immunoregulatory cells. Here, we show that in mice early-stage CECs expand in anemia, have high levels of arginase 2 (ARG2) and reactive oxygen species (ROS). In the spleens of anemic mice, CECs expansion-induced L-arginine depletion suppresses T-cell responses. In humans with anemia, CECs expand and express ARG1 and ARG2 that suppress T-cells IFN-γ production. Moreover, bone marrow CECs from healthy human donors suppress T-cells proliferation. CECs differentiated from peripheral blood mononuclear cells potently suppress T-cell activation, proliferation, and IFN-γ production in an ARG- and ROS-dependent manner. These effects are the most prominent for early-stage CECs (CD71highCD235adim cells). The suppressive properties disappear during erythroid differentiation as more differentiated CECs and mature erythrocytes lack significant immunoregulatory properties. Our studies provide a novel insight into the role of CECs in the immune response regulation.
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Affiliation(s)
- Tomasz M Grzywa
- Department of Immunology, Medical University of Warsaw, Warsaw, Poland
- Doctoral School of the Medical University of Warsaw, Warsaw, Poland
- Laboratory of Experimental Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Anna Sosnowska
- Department of Immunology, Medical University of Warsaw, Warsaw, Poland
- Postgraduate School of Molecular Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Zuzanna Rydzynska
- Department of Immunology, Medical University of Warsaw, Warsaw, Poland
- Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, Lodz, Poland
| | - Michal Lazniewski
- Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Warsaw, Poland
- Centre for Advanced Materials and Technologies, Warsaw University of Technology, Warsaw, Poland
| | - Dariusz Plewczynski
- Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Warsaw, Poland
- Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
| | - Klaudia Klicka
- Doctoral School of the Medical University of Warsaw, Warsaw, Poland
- Department of Methodology, Medical University of Warsaw, Warsaw, Poland
| | | | | | - Olga Ciepiela
- Department of Laboratory Medicine, Medical University of Warsaw, Warsaw, Poland
| | | | | | | | | | - Michal Wegrzynowicz
- Laboratory of Molecular Basis of Neurodegeneration, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | - Agnieszka Tomaszewska
- Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Grzegorz Basak
- Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Jakub Golab
- Department of Immunology, Medical University of Warsaw, Warsaw, Poland.
- Centre of Preclinical Research, Medical University of Warsaw, Warsaw, Poland.
| | - Dominika Nowis
- Department of Immunology, Medical University of Warsaw, Warsaw, Poland.
- Laboratory of Experimental Medicine, Medical University of Warsaw, Warsaw, Poland.
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Management of Adverse Events and Supportive Therapy in Relapsed/Refractory Multiple Myeloma. Cancers (Basel) 2021; 13:cancers13194978. [PMID: 34638462 PMCID: PMC8508369 DOI: 10.3390/cancers13194978] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 09/29/2021] [Accepted: 09/30/2021] [Indexed: 02/01/2023] Open
Abstract
Simple Summary Multiple myeloma (MM) patients with relapsing and/or refractory (RR) disease are exposed for a prolonged time to multiple drugs, which increase the risk of toxicity. In addition to tumor response, preserving the quality of life represents an important goal for this patient population. Therefore, supportive therapy plays a pivotal role in their treatment by limiting disease- and drug-related complications. The aim of this review is to outline current standards and future strategies to prevent and treat renal insufficiency, anemia, bone disease, and infection, including COVID-19, in RRMM patients. In addition, the incidence and treatment of side effects of novel anti-MM agents will be discussed. Abstract Relapsed/refractory (RR) multiple myeloma (MM) patients are a fragile population because of prolonged drug exposure and advanced age. Preserving a good quality of life is of high priority for these patients and the treatment of disease- and treatment-related complications plays a key role in their management. By preventing and limiting MM-induced complications, supportive care improves patients’ outcome. Erythropoietin-stimulating agents and bisphosphonates are well-established supportive strategies, yet novel agents are under investigation, such as anabolic bone agents and activin receptor-like kinase (ALK) inhibitors. The recent dramatic changes in the treatment landscape of MM pose an additional challenge for the routine care of RRMM patients. Multidrug combinations in first and later lines increase the risk for long-lasting toxicities, including adverse cardiovascular and neurological events. Moreover, recently approved first-in-class drugs have unique side-effect profiles, such as ocular toxicity of belantamab mafodotin or gastrointestinal toxicity of selinexor. This review discusses current standards in supportive treatment of RRMM patients, including recommendations in light of the recent SARS-CoV-19 pandemic, and critically looks at the incidence and management of side effects of standard as well as next generation anti-MM agents.
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Cheng Q, Zhao F, Zhang B, Zhang Y, Cai L, Qiao B, Hu Y, Sun C. Prognostic nomogram incorporating cytokines for overall survival in patients with newly diagnosed multiple myeloma. Int Immunopharmacol 2021; 99:108016. [PMID: 34385029 DOI: 10.1016/j.intimp.2021.108016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 07/20/2021] [Accepted: 07/21/2021] [Indexed: 02/01/2023]
Abstract
OBJECTIVE The purpose of this study was to explore the relationship between pretreatment cytokine status and overall survival and establish a prognostic nomogram incorporating cytokines in newly diagnosed multiple myeloma (NDMM) patients. METHODS A total of 121 patients with NDMM from the Wuhan Union Hospital were included in our study. Patient serum levels of cytokines, including macrophage inflammatory protein 1 alpha (MIP-1α), migration inhibitory factor (MIF), tumor necrosis factor-α (TNF-α), vascular endothelial growth factor-α (VEGF-α), monocyte chemoattractant protein-1 (MCP-1) and soluble interleukins IL-17A, IL-6, IL-21 and IL-10 were assessed before treatment. Based on the results of the multivariate Cox proportional hazards model, we developed a prognostic nomogram. We used the concordance index (C-index) and a calibration curve to measure the predictive performance of the nomogram. RESULTS Three important variables (lactate dehydrogenase, MIP-1α and creatinine) were incorporated in the nomogram using multivariate Cox analysis. The 3-year overall survival (OS) rate and progression-free survival (PFS) rate were 83.8% and 21.8% in the low-risk group of the nomogram and 17.4% and 8.4% in the high-risk group, respectively. The C-index of the nomogram for OS prediction was 0.80 (95% CI: 0.68-0.92), showing superiority over the predictive power of the Durie-Salmon staging system (C-index = 0.58; 95% CI: 0.49-0.67), International Staging System (C-index = 0.70; 95% CI: 0.61-0.79) and Revised-International Staging System (C-index = 0.71; 95% CI: 0.63-0.80). The calibration curve showed that the nomogram accurately predicted the 1-year, 2-year and 3-year OS of NDMM patients. CONCLUSION The established nomogram provides accurate and individualized OS risk estimation for NDMM patients.
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Affiliation(s)
- Qianwen Cheng
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Fei Zhao
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Bo Zhang
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Yuyang Zhang
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Li Cai
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Bing Qiao
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Yu Hu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China; Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
| | - Chunyan Sun
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China; Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
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21
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Grzywa TM, Nowis D, Golab J. The role of CD71 + erythroid cells in the regulation of the immune response. Pharmacol Ther 2021; 228:107927. [PMID: 34171326 DOI: 10.1016/j.pharmthera.2021.107927] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 05/13/2021] [Accepted: 05/18/2021] [Indexed: 02/07/2023]
Abstract
Complex regulation of the immune response is necessary to support effective defense of an organism against hostile invaders and to maintain tolerance to harmless microorganisms and autoantigens. Recent studies revealed previously unappreciated roles of CD71+ erythroid cells (CECs) in regulation of the immune response. CECs physiologically reside in the bone marrow where erythropoiesis takes place. Under stress conditions, CECs are enriched in some organs outside of the bone marrow as a result of extramedullary erythropoiesis. However, the role of CECs goes well beyond the production of erythrocytes. In neonates, increased numbers of CECs contribute to their vulnerability to infectious diseases. On the other side, neonatal CECs suppress activation of immune cells in response to abrupt colonization with commensal microorganisms after delivery. CECs are also enriched in the peripheral blood of pregnant women as well as in the placenta and are responsible for the regulation of feto-maternal tolerance. In patients with cancer, anemia leads to increased frequency of CECs in the peripheral blood contributing to diminished antiviral and antibacterial immunity, as well as to accelerated cancer progression. Moreover, recent studies revealed the role of CECs in HIV and SARS-CoV-2 infections. CECs use a full arsenal of mechanisms to regulate immune response. These cells suppress proinflammatory responses of myeloid cells and T-cell proliferation by the depletion of ʟ-arginine by arginase. Moreover, CECs produce reactive oxygen species to decrease T-cell proliferation. CECs also secrete cytokines, including transforming growth factor β (TGF-β), which promotes T-cell differentiation into regulatory T-cells. Here, we comprehensively describe the role of CECs in orchestrating immune response and indicate some therapeutic approaches that might be used to regulate their effector functions in the treatment of human conditions.
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Affiliation(s)
- Tomasz M Grzywa
- Department of Immunology, Medical University of Warsaw, Nielubowicza 5 Street, 02-097 Warsaw, Poland; Doctoral School, Medical University of Warsaw, Zwirki and Wigury 61 Street, 02-091 Warsaw, Poland; Laboratory of Experimental Medicine, Medical University of Warsaw, Nielubowicza 5 Street, 02-097 Warsaw, Poland.
| | - Dominika Nowis
- Department of Immunology, Medical University of Warsaw, Nielubowicza 5 Street, 02-097 Warsaw, Poland; Laboratory of Experimental Medicine, Medical University of Warsaw, Nielubowicza 5 Street, 02-097 Warsaw, Poland.
| | - Jakub Golab
- Department of Immunology, Medical University of Warsaw, Nielubowicza 5 Street, 02-097 Warsaw, Poland; Centre of Preclinical Research, Medical University of Warsaw, Banacha 1b Street, 02-097 Warsaw, Poland.
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Grzywa TM, Justyniarska M, Nowis D, Golab J. Tumor Immune Evasion Induced by Dysregulation of Erythroid Progenitor Cells Development. Cancers (Basel) 2021; 13:870. [PMID: 33669537 PMCID: PMC7922079 DOI: 10.3390/cancers13040870] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/13/2021] [Accepted: 02/15/2021] [Indexed: 02/06/2023] Open
Abstract
Cancer cells harness normal cells to facilitate tumor growth and metastasis. Within this complex network of interactions, the establishment and maintenance of immune evasion mechanisms are crucial for cancer progression. The escape from the immune surveillance results from multiple independent mechanisms. Recent studies revealed that besides well-described myeloid-derived suppressor cells (MDSCs), tumor-associated macrophages (TAMs) or regulatory T-cells (Tregs), erythroid progenitor cells (EPCs) play an important role in the regulation of immune response and tumor progression. EPCs are immature erythroid cells that differentiate into oxygen-transporting red blood cells. They expand in the extramedullary sites, including the spleen, as well as infiltrate tumors. EPCs in cancer produce reactive oxygen species (ROS), transforming growth factor β (TGF-β), interleukin-10 (IL-10) and express programmed death-ligand 1 (PD-L1) and potently suppress T-cells. Thus, EPCs regulate antitumor, antiviral, and antimicrobial immunity, leading to immune suppression. Moreover, EPCs promote tumor growth by the secretion of growth factors, including artemin. The expansion of EPCs in cancer is an effect of the dysregulation of erythropoiesis, leading to the differentiation arrest and enrichment of early-stage EPCs. Therefore, anemia treatment, targeting ineffective erythropoiesis, and the promotion of EPC differentiation are promising strategies to reduce cancer-induced immunosuppression and the tumor-promoting effects of EPCs.
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Affiliation(s)
- Tomasz M. Grzywa
- Department of Immunology, Medical University of Warsaw, 02-097 Warsaw, Poland; (T.M.G.); (M.J.)
- Doctoral School, Medical University of Warsaw, 02-091 Warsaw, Poland
- Laboratory of Experimental Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Magdalena Justyniarska
- Department of Immunology, Medical University of Warsaw, 02-097 Warsaw, Poland; (T.M.G.); (M.J.)
| | - Dominika Nowis
- Laboratory of Experimental Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Jakub Golab
- Department of Immunology, Medical University of Warsaw, 02-097 Warsaw, Poland; (T.M.G.); (M.J.)
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