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Cui J, Li X, Deng S, Du C, Fan H, Yan W, Xu J, Li X, Yu T, Zhang S, Lv R, Sui W, Hao M, Du X, Xu Y, Yi S, Zou D, Cheng T, Qiu L, Gao X, An G. Identification of Therapy-Induced Clonal Evolution and Resistance Pathways in Minimal Residual Clones in Multiple Myeloma through Single-Cell Sequencing. Clin Cancer Res 2024; 30:3919-3936. [PMID: 38900040 DOI: 10.1158/1078-0432.ccr-24-0545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/16/2024] [Accepted: 06/17/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE In multiple myeloma (MM), therapy-induced clonal evolution is associated with treatment resistance and is one of the most important hindrances toward a cure for MM. To further understand the molecular mechanisms controlling the clonal evolution of MM, we applied single-cell RNA sequencing (scRNA-seq) to paired diagnostic and posttreatment bone marrow (BM) samples. EXPERIMENTAL DESIGN scRNA-seq was performed on 38 BM samples from patients with monoclonal gammopathy of undetermined significance (n = 1), MM patients at diagnosis (n = 19), MM posttreatment (n = 17), and one healthy donor (HD). The single-cell transcriptome data of malignant plasma cells (PC) and the surrounding immune microenvironment were analyzed. RESULTS Profiling by scRNA-seq data revealed three primary trajectories of transcriptional evolution after treatment: clonal elimination in patients with undetectable minimal residual disease (MRD-) and clonal stabilization and clonal selection in detectable MRD (MRD+) patients. We noted a metabolic shift toward fatty acid oxidation in cycling-resistant PCs, whereas selective PCs favored the NF-κB pathway. Intriguingly, when comparing the genetic and transcriptional dynamics, we found a significant correlation between genetic and nongenetic factors in driving the clonal evolution. Furthermore, we identified variations in cellular interactions between malignant PCs and the tumor microenvironment. Selective PCs showed the most robust cellular interactions with the tumor microenvironment. CONCLUSIONS These data suggest that MM cells could rapidly adapt to induction treatment through transcriptional adaptation, metabolic adaptation, and specialized immune evasion. Targeting therapy-induced resistance mechanisms may help to avert refractory disease in MM.
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Affiliation(s)
- Jian Cui
- 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 Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiaoyun Li
- 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 Science & 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 & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Chenxing Du
- 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 Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Huishou Fan
- Department of Hematology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Wenqiang Yan
- 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 Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jingyu 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 Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiaoqing Li
- Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Tengteng 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 Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuaishuai Zhang
- 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 Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Rui Lv
- 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 Science & 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 & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, 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 Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xin Du
- Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 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 Science & 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 & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Tao Cheng
- 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 Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, 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 & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
- Institute of Multiple Myeloma, Beijing GoBroad Boren Hospital, Beijing, China
| | - Xin Gao
- 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 Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, 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 & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
- Institute of Multiple Myeloma, Beijing GoBroad Boren Hospital, Beijing, China
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Liu S, Gao Y, Feng X, Xu Y, Hu M, Fei H, Zheng H, Huang J, Li T, Zhao C, Sun L. A novel study on CXXC5: unraveling its regulatory mechanisms in hematopoietic stem cell biology through proteomics and gene editing. Genes Genomics 2024:10.1007/s13258-024-01540-8. [PMID: 39150611 DOI: 10.1007/s13258-024-01540-8] [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: 03/05/2024] [Accepted: 06/05/2024] [Indexed: 08/17/2024]
Abstract
BACKGROUND This study investigates the role of CXXC5 in the self-renewal and differentiation of hematopoietic stem cells (HSCs) within the bone marrow microenvironment, utilizing advanced methodologies such as single-cell RNA sequencing (scRNA-seq), CRISPR-Cas9, and proteomic analysis. METHODS We employed flow cytometry to isolate HSCs from bone marrow samples, followed by scRNA-seq analysis using the 10x Genomics platform to examine cell clustering and CXXC5 expression patterns. CRISPR-Cas9 and lentiviral vectors facilitated the knockout and overexpression of CXXC5 in HSCs. The impact on HSCs was assessed through qRT-PCR, Western blot, CCK-8, CFU, and LTC-IC assays, alongside flow cytometry to measure apoptosis and cell proportions. A mouse model was also used to evaluate the effects of CXXC5 manipulation on HSC engraftment and survival rates. RESULTS Our findings highlight the diversity of cell clustering and the significant role of CXXC5 in HSC regulation. Knockout experiments showed reduced proliferation and accelerated differentiation, whereas overexpression led to enhanced proliferation and delayed differentiation. Proteomic analysis identified key biological processes influenced by CXXC5, including cell proliferation, differentiation, and apoptosis. In vivo results demonstrated that CXXC5 silencing impaired HSC engraftment in a bone marrow transplantation model. CONCLUSION CXXC5 is crucial for the regulation of HSC self-renewal and differentiation in the bone marrow microenvironment. Its manipulation presents a novel approach for enhancing HSC function and provides a potential therapeutic target for hematological diseases.
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Affiliation(s)
- Shanshan Liu
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, Shinan District, Qingdao, Shandong Province, China
| | - Yan Gao
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, Shinan District, Qingdao, Shandong Province, China
| | - Xianqi Feng
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, Shinan District, Qingdao, Shandong Province, China
| | - Yujie Xu
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, Shinan District, Qingdao, Shandong Province, China
| | - Minghui Hu
- Clinical Lab, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Hairong Fei
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, Shinan District, Qingdao, Shandong Province, China
| | - Hongying Zheng
- Clinical Lab, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Junxia Huang
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, Shinan District, Qingdao, Shandong Province, China
| | - Tianlan Li
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, Shinan District, Qingdao, Shandong Province, China
| | - Chunting Zhao
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, Shinan District, Qingdao, Shandong Province, China.
| | - Lingjie Sun
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, Shinan District, Qingdao, Shandong Province, China.
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Lim JJ, Vining KH, Mooney DJ, Blencowe BJ. Matrix stiffness-dependent regulation of immunomodulatory genes in human MSCs is associated with the lncRNA CYTOR. Proc Natl Acad Sci U S A 2024; 121:e2404146121. [PMID: 39074278 PMCID: PMC11317610 DOI: 10.1073/pnas.2404146121] [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: 02/29/2024] [Accepted: 06/17/2024] [Indexed: 07/31/2024] Open
Abstract
Cell-matrix interactions in 3D environments significantly differ from those in 2D cultures. As such, mechanisms of mechanotransduction in 2D cultures are not necessarily applicable to cell-encapsulating hydrogels that resemble features of tissue architecture. Accordingly, the characterization of molecular pathways in 3D matrices is expected to uncover insights into how cells respond to their mechanical environment in physiological contexts, and potentially also inform hydrogel-based strategies in cell therapies. In this study, a bone marrow-mimetic hydrogel was employed to systematically investigate the stiffness-responsive transcriptome of mesenchymal stromal cells. High matrix rigidity impeded integrin-collagen adhesion, resulting in changes in cell morphology characterized by a contractile network of actin proximal to the cell membrane. This resulted in a suppression of extracellular matrix-regulatory genes involved in the remodeling of collagen fibrils, as well as the upregulation of secreted immunomodulatory factors. Moreover, an investigation of long noncoding RNAs revealed that the cytoskeleton regulator RNA (CYTOR) contributes to these 3D stiffness-driven changes in gene expression. Knockdown of CYTOR using antisense oligonucleotides enhanced the expression of numerous mechanoresponsive cytokines and chemokines to levels exceeding those achievable by modulating matrix stiffness alone. Taken together, our findings further our understanding of mechanisms of mechanotransduction that are distinct from canonical mechanotransductive pathways observed in 2D cultures.
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Affiliation(s)
- Justin J. Lim
- Donnelly Centre, University of Toronto, Toronto, ONM5S3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ONM5S1A8, Canada
| | - Kyle H. Vining
- Department of Preventative and Restorative Sciences, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA19104
- Department of Materials Science and Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA19104
| | - David J. Mooney
- Department of Bioengineering, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA02138
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Benjamin J. Blencowe
- Donnelly Centre, University of Toronto, Toronto, ONM5S3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ONM5S1A8, Canada
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4
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Pereira AL, Galli S, Nombela‐Arrieta C. Bone marrow niches for hematopoietic stem cells. Hemasphere 2024; 8:e133. [PMID: 39086665 PMCID: PMC11289431 DOI: 10.1002/hem3.133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/05/2024] [Accepted: 05/06/2024] [Indexed: 08/02/2024] Open
Abstract
Hematopoietic stem cells (HSCs) are the cornerstone of the hematopoietic system. HSCs sustain the continuous generation of mature blood derivatives while self-renewing to preserve a relatively constant pool of progenitors throughout life. Yet, long-term maintenance of functional HSCs exclusively takes place in association with their native tissue microenvironment of the bone marrow (BM). HSCs have been long proposed to reside in fixed and identifiable anatomical units found in the complex BM tissue landscape, which control their identity and fate in a deterministic manner. In the last decades, tremendous progress has been made in the dissection of the cellular and molecular fabric of the BM, the structural organization governing tissue function, and the plethora of interactions established by HSCs. Nonetheless, a holistic model of the mechanisms controlling HSC regulation in their niche is lacking to date. Here, we provide an overview of our current understanding of BM anatomy, HSC localization, and crosstalk within local cellular neighborhoods in murine and human tissues, and highlight fundamental open questions on how HSCs functionally integrate in the BM microenvironment.
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Affiliation(s)
- Ana Luísa Pereira
- Department of Medical Oncology and HematologyUniversity Hospital and University of ZurichZurichSwitzerland
| | - Serena Galli
- Department of Medical Oncology and HematologyUniversity Hospital and University of ZurichZurichSwitzerland
| | - César Nombela‐Arrieta
- Department of Medical Oncology and HematologyUniversity Hospital and University of ZurichZurichSwitzerland
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5
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Lu K, Wang W, Liu Y, Xie C, Liu J, Xing L. Advancements in microenvironment-based therapies: transforming the landscape of multiple myeloma treatment. Front Oncol 2024; 14:1413494. [PMID: 39087026 PMCID: PMC11288838 DOI: 10.3389/fonc.2024.1413494] [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: 04/07/2024] [Accepted: 06/20/2024] [Indexed: 08/02/2024] Open
Abstract
Multiple myeloma (MM) is the most prevalent malignant monoclonal disease of plasma cells. There is mounting evidence that interactions with the bone marrow (BM) niche are essential for the differentiation, proliferation, survival, migration, and treatment resistance of myeloma cells. For this reason, gaining a deeper comprehension of how BM microenvironment compartments interact with myeloma cells may inspire new therapeutic ideas that enhance patient outcomes. This review will concentrate on the most recent findings regarding the mechanisms of interaction between microenvironment and MM and highlight research on treatment targeting the BM niche.
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Affiliation(s)
- Ke Lu
- Department of Lymphoma, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Wen Wang
- Department of Lymphoma, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yuntong Liu
- Jerome Lipper Multiple Myeloma Center, LeBow Institute for Myeloma Therapeutics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States
| | - Chao Xie
- Department of Respiratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Jiye Liu
- Jerome Lipper Multiple Myeloma Center, LeBow Institute for Myeloma Therapeutics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States
| | - Lijie Xing
- Department of Lymphoma, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Key Laboratory of Biopharmaceuticals, Postdoctoral Scientific Research Workstation, Shandong Academy of Pharmaceutical Science, Jinan, Shandong, China
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Nakashima T, Kagoya Y. Current progress of CAR-T-cell therapy for patients with multiple myeloma. Int J Hematol 2024; 120:15-22. [PMID: 38777913 DOI: 10.1007/s12185-024-03794-0] [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: 02/03/2024] [Revised: 05/11/2024] [Accepted: 05/16/2024] [Indexed: 05/25/2024]
Abstract
Currently available chimeric antigen receptor (CAR)-engineered T-cell therapies targeting B-cell maturation antigen (BCMA), namely, idecabtagene vicleucel and ciltacabtagene autoleucel, have shown marked efficacy against relapsed and refractory multiple myeloma. However, further improvement in CAR-T-cell function is warranted as most patients treated with these products eventually relapse due to various mechanisms such as antigen loss and T-cell dysfunction or disappearance. Strategies for improving CAR-T-cell function include targeting of dual antigens, enhancing cell longevity through genetic modification, and eliminating the immunosuppressive tumor microenvironment. Serious side effects can also occur after CAR-T-cell infusions. Although understanding of the molecular pathogenesis of cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome is growing, the unique movement disorder caused by BCMA-targeted therapy is less understood, and its molecular mechanisms must be further elucidated to establish better management strategies. In this article, we will review the current status of BCMA-targeting CAR-T-cell therapy. We will also highlight progress in the development of CAR-T cells targeting other antigens, as well as universal allogeneic CAR-T cells and bispecific antibodies.
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Affiliation(s)
- Takahiro Nakashima
- Division of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Yuki Kagoya
- Division of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
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Bhowmick K, von Suskil M, Al-Odat OS, Elbezanti WO, Jonnalagadda SC, Budak-Alpdogan T, Pandey MK. Pathways to therapy resistance: The sheltering effect of the bone marrow microenvironment to multiple myeloma cells. Heliyon 2024; 10:e33091. [PMID: 39021902 PMCID: PMC11252793 DOI: 10.1016/j.heliyon.2024.e33091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 05/30/2024] [Accepted: 06/13/2024] [Indexed: 07/20/2024] Open
Abstract
Multiple Myeloma (MM) is a malignant expansion of plasma cells in the bone marrow (BM), resulting in a disease characterized by symptoms of end organ damage from light chain secretion, crowding of the BM, and bone lesions. Although the past two decades have been characterized by numerous novel therapies emerging, the disease remains incurable due to intrinsic or acquired drug resistance. A major player in MM's drug resistance arises from its intimate relationship with the BM microenvironment (BMME). Through stress-inducing conditions, soluble messengers, and physical adhesion to BM elements, the BMME activates numerous pathways in the myeloma cell. This not only propagates myeloma progression through survival and growth signals, but also specific mechanisms to circumvent therapeutic actions. In this review, we provide an overview of the BMME, the role of individual components in MM survival, and various therapy-specific resistance mechanisms reported in the literature.
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Affiliation(s)
- Kuntal Bhowmick
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Max von Suskil
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Omar S. Al-Odat
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Weam Othman Elbezanti
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA
- Department of Hematology, MD Anderson Cancer Center at Cooper, Cooper University Health Care, Camden, NJ, USA
| | - Subash C. Jonnalagadda
- Department of Chemistry and Biochemistry, College of Science and Mathematics, Rowan University, Glassboro, NJ, USA
| | - Tulin Budak-Alpdogan
- Department of Hematology, MD Anderson Cancer Center at Cooper, Cooper University Health Care, Camden, NJ, USA
| | - Manoj K. Pandey
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA
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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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9
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Feng D, Wang Z, Cao S, Xu H, Li S. Identification of lipid metabolism-related gene signature in the bone marrow microenvironment of multiple myelomas through deep analysis of transcriptomic data. Clin Exp Med 2024; 24:136. [PMID: 38916672 PMCID: PMC11199273 DOI: 10.1007/s10238-024-01398-w] [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: 04/15/2024] [Accepted: 06/10/2024] [Indexed: 06/26/2024]
Abstract
Dysregulated lipid metabolism in the bone marrow microenvironment (BMM) plays a vital role in multiple myeloma (MM) development, progression, and drug resistance. However, the exact mechanism by which lipid metabolism impacts the BMM, promotes tumorigenesis, and triggers drug resistance remains to be fully elucidated.By analyzing the bulk sequencing and single-cell sequencing data of MM patients, we identified lipid metabolism-related genes differential expression significantly associated with MM prognosis, referred to as LMRPgenes. Using a cohort of ten machine learning algorithms and 117 combinations, LMRPgenes predictive models were constructed. Further exploration of the effects of the model risk score (RS) on the survival status, immune status of patients with BMM, and response to immunotherapy was conducted. The study also facilitated the identification of personalized therapeutic strategies targeting specified risk categories within patient cohorts.Analysis of the scRNA-seq data revealed increased lipid metabolism-related gene enrichment scores (LMESs) in erythroblasts and progenitor, malignant, and Tprolif cells but decreased LMESs in lymphocytes. LMESs were also strongly correlated with most of the 50 hallmark pathways within these cell populations. An elevated malignant cell ratio and reduced lymphocytes were observed in the high LMES group. Moreover, the LMRPgenes predictive model, consisting of 14 genes, showed great predictive power. The risk score emerged as an independent indicator of poor outcomes. Inverse relationships between the RS and immune status were noted, and a high RS was associated with impaired immunotherapy responses. Drug sensitivity assays indicated the effectiveness of bortezomib, buparlisib, dinaciclib, staurosporine, rapamycin, and MST-312 in the high-RS group, suggesting their potential for treating patients with high-RS values and poor response to immunotherapy. Ultimately, upon verification via qRT-PCR, we observed a significant upregulation of ACBD6 in NDMM group compared to the control group.Our research enhances the knowledge base regarding the association between lipid metabolism-related genes (LMRGs) and the BMM in MM patients, offering substantive insights into the mechanistic effects of the BMM mediated by LMRGs.
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Affiliation(s)
- Dan Feng
- Department of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Liaoning, Dalian, 116011, China
| | - Zhen Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Liaoning, Dalian, 116011, China
| | - Shengji Cao
- Department of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Liaoning, Dalian, 116011, China
| | - Hui Xu
- Department of Clinical Laboratory, Harbin Medical University Cancer Hospital, Harbin, 150000, Heilongjiang, China
| | - Shijun Li
- Department of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Liaoning, Dalian, 116011, China.
- College of Laboratory Medicine, Dalian Medical University, Liaoning, Dalian, 116044, China.
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10
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Stone AP, Rand E, Thornes G, Kay AG, Barnes AL, Hitchcock IS, Genever PG. Extracellular matrices of stromal cell subtypes regulate phenotype and contribute to the stromal microenvironment in vivo. Stem Cell Res Ther 2024; 15:178. [PMID: 38886845 PMCID: PMC11184721 DOI: 10.1186/s13287-024-03786-1] [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: 10/02/2023] [Accepted: 06/09/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Bone marrow stromal cells (BMSCs) are highly heterogeneous, which may reflect their diverse biological functions, including tissue maintenance, haematopoietic support and immune control. The current understanding of the mechanisms that drive the onset and resolution of heterogeneity, and how BMSCs influence other cells in their environment is limited. Here, we determined how the secretome and importantly the extracellular matrix of BMSCs can influence cellular phenotype. METHODS We used two immortalised clonal BMSC lines isolated from the same heterogeneous culture as model stromal subtypes with distinct phenotypic traits; a multipotent stem-cell-like stromal line (Y201) and a nullipotent non-stem cell stromal line (Y202), isolated from the same donor BMSC pool. Label-free quantitative phase imaging was used to track cell morphology and migration of the BMSC lines over 96 h in colony-forming assays. We quantified the secreted factors of each cell line by mass spectrometry and confirmed presence of proteins in human bone marrow by immunofluorescence. RESULTS Transfer of secreted signals from a stem cell to a non-stem cell resulted in a change in morphology and enhanced migration to more closely match stem cell-like features. Mass spectrometry analysis revealed a significant enrichment of extracellular matrix (ECM) proteins in the Y201 stem cell secretome compared to Y202 stromal cells. We confirmed that Y201 produced a more robust ECM in culture compared to Y202. Growth of Y202 on ECM produced by Y201 or Y202 restored migration and fibroblastic morphology, suggesting that it is the deficiency of ECM production that contributes to its phenotype. The proteins periostin and aggrecan, were detected at 71- and 104-fold higher levels in the Y201 versus Y202 secretome and were subsequently identified by immunofluorescence at rare sites on the endosteal surfaces of mouse and human bone, underlying CD271-positive stromal cells. These proteins may represent key non-cellular components of the microenvironment for bona-fide stem cells important for cell maintenance and phenotype in vivo. CONCLUSIONS We identified plasticity in BMSC morphology and migratory characteristics that can be modified through secreted proteins, particularly from multipotent stem cells. Overall, we demonstrate the importance of specific ECM proteins in co-ordination of cellular phenotype and highlight how non-cellular components of the BMSC microenvironment may provide insights into cell population heterogeneity and the role of BMSCs in health and disease.
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Affiliation(s)
- Andrew P Stone
- Department of Biology, York Biomedical Research Institute, University of York, York, UK.
- Brandeis University, Waltham, MA, USA.
| | - Emma Rand
- Department of Biology, York Biomedical Research Institute, University of York, York, UK
| | - Gabriel Thornes
- Department of Biology, York Biomedical Research Institute, University of York, York, UK
| | - Alasdair G Kay
- Department of Biology, York Biomedical Research Institute, University of York, York, UK
| | - Amanda L Barnes
- Department of Biology, York Biomedical Research Institute, University of York, York, UK
| | - Ian S Hitchcock
- Department of Biology, York Biomedical Research Institute, University of York, York, UK
| | - Paul G Genever
- Department of Biology, York Biomedical Research Institute, University of York, York, UK
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11
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Bandyopadhyay S, Duffy MP, Ahn KJ, Sussman JH, Pang M, Smith D, Duncan G, Zhang I, Huang J, Lin Y, Xiong B, Imtiaz T, Chen CH, Thadi A, Chen C, Xu J, Reichart M, Martinez Z, Diorio C, Chen C, Pillai V, Snaith O, Oldridge D, Bhattacharyya S, Maillard I, Carroll M, Nelson C, Qin L, Tan K. Mapping the cellular biogeography of human bone marrow niches using single-cell transcriptomics and proteomic imaging. Cell 2024; 187:3120-3140.e29. [PMID: 38714197 PMCID: PMC11162340 DOI: 10.1016/j.cell.2024.04.013] [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: 07/03/2023] [Revised: 02/02/2024] [Accepted: 04/12/2024] [Indexed: 05/09/2024]
Abstract
Non-hematopoietic cells are essential contributors to hematopoiesis. However, heterogeneity and spatial organization of these cells in human bone marrow remain largely uncharacterized. We used single-cell RNA sequencing (scRNA-seq) to profile 29,325 non-hematopoietic cells and discovered nine transcriptionally distinct subtypes. We simultaneously profiled 53,417 hematopoietic cells and predicted their interactions with non-hematopoietic subsets. We employed co-detection by indexing (CODEX) to spatially profile over 1.2 million cells. We integrated scRNA-seq and CODEX data to link predicted cellular signaling with spatial proximity. Our analysis revealed a hyperoxygenated arterio-endosteal neighborhood for early myelopoiesis, and an adipocytic localization for early hematopoietic stem and progenitor cells (HSPCs). We used our CODEX atlas to annotate new images and uncovered mesenchymal stromal cell (MSC) expansion and spatial neighborhoods co-enriched for leukemic blasts and MSCs in acute myeloid leukemia (AML) patient samples. This spatially resolved, multiomic atlas of human bone marrow provides a reference for investigation of cellular interactions that drive hematopoiesis.
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Affiliation(s)
- Shovik Bandyopadhyay
- Cellular and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael P Duffy
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kyung Jin Ahn
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jonathan H Sussman
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Minxing Pang
- Applied Mathematics & Computational Science Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - David Smith
- Center for Single Cell Biology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Gwendolyn Duncan
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Iris Zhang
- Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Jeffrey Huang
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Yulieh Lin
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara Xiong
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tamjid Imtiaz
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Chia-Hui Chen
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Anusha Thadi
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Changya Chen
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jason Xu
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Melissa Reichart
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zachary Martinez
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Caroline Diorio
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chider Chen
- Department of Oral and Maxillofacial Surgery/Pharmacology, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Vinodh Pillai
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Oraine Snaith
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Derek Oldridge
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Siddharth Bhattacharyya
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ivan Maillard
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Martin Carroll
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Charles Nelson
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ling Qin
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Kai Tan
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Single Cell Biology, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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12
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Kunutsor SK, Kaminsky LA, Lehoczki A, Laukkanen JA. Unraveling the link between cardiorespiratory fitness and cancer: a state-of-the-art review. GeroScience 2024:10.1007/s11357-024-01222-z. [PMID: 38831183 DOI: 10.1007/s11357-024-01222-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: 05/09/2024] [Accepted: 05/24/2024] [Indexed: 06/05/2024] Open
Abstract
Cardiorespiratory fitness (CRF) not only reflects an individual's capacity to perform physical activities but also encapsulates broader effects on the basic biology of aging. This review aims to summarize the evidence on the influence of CRF on overall and site-specific cancer risks. It delves into the biological mechanisms through which CRF may exert its effects, explores the clinical implications of these findings, identifies gaps in the current evidence base, and suggests directions for future research. The synthesis of findings reveals that higher CRF levels (general threshold of > 7 METs) are consistently associated with a reduced risk of a range of cancers, including head and neck, lung, breast, gastrointestinal, particularly pancreatic and colorectal, bladder, overall cancer incidence and mortality, and potentially stomach and liver, bile duct, and gall bladder cancers. These inverse associations between CRF and cancer risk do not generally differ across age groups, sex, race, or adiposity, suggesting a universal protective effect of CRF. Nonetheless, evidence linking CRF with skin, mouth and pharynx, kidney, and endometrial cancers is limited and inconclusive. Conversely, higher CRF levels may be potentially linked to an increased risk of prostate cancer and hematological malignancies, such as leukemia and myeloma, although the evidence is still not conclusive. CRF appears to play a significant role in reducing the risk of several cancers through various biological mechanisms, including inflammation reduction, immune system enhancement, hormonal regulation, and metabolic improvements. Overall, enhancing CRF through regular physical activity offers a vital, accessible strategy for reducing cancer risk and extending the health span. Future research should aim to fill the existing evidence gaps regarding specific cancers and elucidate the detailed dose-response relationships between CRF levels and cancer risk. Studies are also needed to elucidate the causal relationships and mechanistic pathways linking CRF to cancer outcomes.
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Affiliation(s)
- Setor K Kunutsor
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, LE5 4WP, UK.
| | - Leonard A Kaminsky
- Clinical Exercise Physiology, College of Health, Ball State University, Muncie, IN, USA
| | - Andrea Lehoczki
- Department of Public Health, Semmelweis University, Budapest, Hungary
- Doctoral College, Health Sciences Program, Semmelweis University, Budapest, Hungary
- Department of Haematology and Stem Cell Transplantation, National Institute for Haematology and Infectious Diseases, South Pest Central Hospital, 1097, Budapest, Hungary
| | - Jari A Laukkanen
- Institute of Clinical Medicine, Department of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Wellbeing Services County of Central Finland, Jyväskylä, Finland
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13
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Zhu Y, Liu J, Wang B. Identification of biomarkers in multiple myeloma: A comprehensive study combining microarray analysis and Mendelian randomization. J Cell Mol Med 2024; 28:e18504. [PMID: 38923838 PMCID: PMC11200096 DOI: 10.1111/jcmm.18504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 06/07/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Despite remarkable advancements in the treatment of multiple myeloma (MM), relapse remains a challenge. However, the mechanisms underlying this disease remain unclear. This study aimed to identify potential biomarkers that could open new avenues for MM treatment. Microarray data and clinical characteristics of patients with MM were obtained from the Gene Expression Omnibus database. Differential expression analysis and protein-protein interaction (PPI) network construction were used to identify hub genes associated with MM. Predictive performance was further assessed using receiver operating characteristic curves and nomogram construction. Functional enrichment analysis was conducted to investigate possible mechanisms. Mendelian randomization (MR) was used to evaluate the causal relationship between the crucial gene and MM risk. Topological analysis of the PPI network revealed five hub genes associated with MM, with myeloperoxidase (MPO) being the key gene owing to its highest degree and area under the curve values. MPO showed significant differences between patients with MM and controls across all datasets. Functional enrichment analysis revealed a strong association between MPO and immune-related pathways in MM. MR analysis confirmed a causal relationship between MPO and the risk of MM. By integrating microarray analysis and MR, we successfully identified and validated MPO as a promising biomarker for MM that is potentially implicated in MM pathogenesis and progression through immune-related pathways.
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Affiliation(s)
- Yidong Zhu
- Department of Traditional Chinese Medicine, Shanghai Tenth People's Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Jun Liu
- Department of Traditional Chinese Medicine, Shanghai Tenth People's Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Bo Wang
- Department of Endocrinology, Yangpu Hospital, School of MedicineTongji UniversityShanghaiChina
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14
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Gulla A, Fulciniti M. Mesenchymal stem cells: paving the way for myeloma onset? Blood Adv 2024; 8:2573-2574. [PMID: 38805218 PMCID: PMC11220371 DOI: 10.1182/bloodadvances.2024012705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024] Open
Affiliation(s)
- Annamaria Gulla
- Candiolo Cancer Institute, Fondazione del Piemonte per l'Oncologia-IRCCS, Candiolo, Italy
| | - Mariateresa Fulciniti
- Department of Medical Oncology, Jerome Lipper Multiple Myeloma Disease Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
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15
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Dhodapkar MV. Immune status and selection of patients for immunotherapy in myeloma: a proposal. Blood Adv 2024; 8:2424-2432. [PMID: 38564776 PMCID: PMC11112605 DOI: 10.1182/bloodadvances.2023011242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/12/2024] [Accepted: 03/21/2024] [Indexed: 04/04/2024] Open
Abstract
ABSTRACT Newer immune-based approaches based on recruitment and redirection of endogenous and/or synthetic immunity such as chimeric antigen receptor T cells or bispecific antibodies are transforming the clinical management of multiple myeloma (MM). Contributions of the immune system to the antitumor effects of myeloma therapies are also increasingly appreciated. Clinical malignancy in MM originates in the setting of systemic immune alterations that begin early in myelomagenesis and regional changes in immunity affected by spatial contexture. Preexisting and therapy-induced changes in immune cells correlate with outcomes in patients with MM including after immune therapies. Here, we discuss insights from and limitations of available data about immune status and outcomes after immune therapies in patients with MM. Preexisting variation in systemic and/or regional immunity is emerging as a major determinant of the efficacy of current immune therapies as well as vaccines. However, MM is a multifocal malignancy. As with solid tumors, integrating spatial aspects of the tumor and consideration of immune targets with the biology of immune cells may be critical to optimizing the application of immune therapy, including T-cell redirection, in MM. We propose 5 distinct spatial immune types of MM that may provide an initial framework for the optimal application of specific immune therapies in MM: immune depleted, immune permissive, immune excluded, immune suppressed, and immune resistant. Such considerations may also help optimize rational patient selection for emerging immune therapies to improve outcomes.
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Affiliation(s)
- Madhav V. Dhodapkar
- Department of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, GA
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16
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Cerezo-Wallis D, Ballesteros I. The enduring neutrophil-stroma dance of multiple myeloma. Nat Immunol 2024; 25:731-732. [PMID: 38600357 DOI: 10.1038/s41590-024-01810-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Affiliation(s)
- Daniela Cerezo-Wallis
- Vascular Biology and Therapeutics Program and Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
| | - Iván Ballesteros
- Cardiovascular regeneration program, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain.
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17
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de Jong MME, Fokkema C, Papazian N, Czeti Á, Appelman MK, Vermeulen M, van Heusden T, Hoogenboezem RM, van Beek G, Tahri S, Sanders MA, van de Woestijne PC, Gay F, Moreau P, Büttner-Herold M, Bruns H, van Duin M, Broijl A, Sonneveld P, Cupedo T. An IL-1β-driven neutrophil-stromal cell axis fosters a BAFF-rich protumor microenvironment in individuals with multiple myeloma. Nat Immunol 2024; 25:820-833. [PMID: 38600356 DOI: 10.1038/s41590-024-01808-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 03/11/2024] [Indexed: 04/12/2024]
Abstract
Human bone marrow permanently harbors high numbers of neutrophils, and a tumor-supportive bias of these cells could significantly impact bone marrow-confined malignancies. In individuals with multiple myeloma, the bone marrow is characterized by inflammatory stromal cells with the potential to influence neutrophils. We investigated myeloma-associated alterations in human marrow neutrophils and the impact of stromal inflammation on neutrophil function. Mature neutrophils in myeloma marrow are activated and tumor supportive and transcribe increased levels of IL1B and myeloma cell survival factor TNFSF13B (BAFF). Interactions with inflammatory stromal cells induce neutrophil activation, including BAFF secretion, in a STAT3-dependent manner, and once activated, neutrophils gain the ability to reciprocally induce stromal activation. After first-line myeloid-depleting antimyeloma treatment, human bone marrow retains residual stromal inflammation, and newly formed neutrophils are reactivated. Combined, we identify a neutrophil-stromal cell feed-forward loop driving tumor-supportive inflammation that persists after treatment and warrants novel strategies to target both stromal and immune microenvironments in multiple myeloma.
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Affiliation(s)
- Madelon M E de Jong
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Cathelijne Fokkema
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Natalie Papazian
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Ágnes Czeti
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Marjolein K Appelman
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Michael Vermeulen
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Teddie van Heusden
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Remco M Hoogenboezem
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Gregory van Beek
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Sabrin Tahri
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Mathijs A Sanders
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | | | - Francesca Gay
- Clinical Trial Unit, Division of Hematology, Azienda Ospedaliero Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Philippe Moreau
- Department of Hematology, Nantes University Hospital Hotel-Dieu, Nantes, France
| | - Maike Büttner-Herold
- Department of Internal Medicine 5, Hematology and Oncology, Friedrich Alexander University Erlangen-Nuremberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Heiko Bruns
- Department of Internal Medicine 5, Hematology and Oncology, Friedrich Alexander University Erlangen-Nuremberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Mark van Duin
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Annemiek Broijl
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Pieter Sonneveld
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands.
| | - Tom Cupedo
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands.
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18
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Schinke C, Rasche L, Raab MS, Weinhold N. Impact of Clonal Heterogeneity in Multiple Myeloma. Hematol Oncol Clin North Am 2024; 38:461-476. [PMID: 38195308 DOI: 10.1016/j.hoc.2023.12.012] [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] [Indexed: 01/11/2024]
Abstract
Multiple myeloma is characterized by a highly heterogeneous disease distribution within the bone marrow-containing skeletal system. In this review, we introduce the molecular mechanisms underlying clonal heterogeneity and the spatio-temporal evolution of myeloma. We discuss the clinical impact of clonal heterogeneity, which is thought to be one of the biggest obstacles to overcome therapy resistance and to achieve cure.
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Affiliation(s)
- Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Leo Rasche
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany; Mildred Scheel Early Career Center (MSNZ), University Hospital of Würzburg, Würzburg, Germany
| | - Marc S Raab
- Department of Internal Medicine V, Heidelberg University Clinic Hospital, Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, Heidelberg University Clinic Hospital, Heidelberg, Germany.
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19
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Dhodapkar MV. Immune-Pathogenesis of Myeloma. Hematol Oncol Clin North Am 2024; 38:281-291. [PMID: 38195307 DOI: 10.1016/j.hoc.2023.12.011] [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] [Indexed: 01/11/2024]
Abstract
This research indicates that monoclonal gammopathy of undetermined significance (MGUS) and myeloma may stem from chronic immune activation and inflammation, causing immune dysfunction and spatial immune exclusion. As the conditions progress, a shift toward myeloma involves ongoing immune impairment, affecting both innate and adaptive immunity. Intriguingly, even in advanced myeloma stages, susceptibility to immune effector cells persists. This insight highlights the intricate interplay between immune responses and the development of these conditions, paving the way for potential therapeutic interventions targeting immune modulation in the management of MGUS and myeloma.
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Affiliation(s)
- Madhav V Dhodapkar
- Department of Hematology/Medical Oncology, Emory University, Winship Cancer Institute, 1365 Clifton Road, Atlanta, GA 30332, USA.
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20
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Du MT, Bergsagel PL, Chesi M. Immunocompetent Mouse Models of Multiple Myeloma: Therapeutic Implications. Hematol Oncol Clin North Am 2024; 38:533-546. [PMID: 38233233 PMCID: PMC10942746 DOI: 10.1016/j.hoc.2023.12.014] [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: 01/19/2024]
Abstract
Immunocompetent mouse models of multiple myeloma (MM) are particularly needed in the era of T cell redirected therapy to understand drivers of sensitivity and resistance, optimize responses, and prevent toxicities. Three mouse models have been extensively characterized: the Balb/c plasmacytomas, the 5TMM, and the Vk*MYC. In the last year, additional models have been generated, which, for the first time, capture primary MM initiating events, like MMSET/NSD2 or cyclin D1 dysregulation. However, the long latency needed for tumor development and the lack of transplantable lines limit their utilization. Future studies should focus on modeling hyperdiploid MM.
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Affiliation(s)
- Megan Tien Du
- Department of Medicine, Mayo Clinic, 13400 East Shea Boulevard, MCCRB 3-040, Scottsdale, AZ 85259, USA
| | - Peter Leif Bergsagel
- Department of Medicine, Mayo Clinic, 13400 East Shea Boulevard, MCCRB 3-040, Scottsdale, AZ 85259, USA
| | - Marta Chesi
- Department of Medicine, Mayo Clinic, 13400 East Shea Boulevard, MCCRB 3-040, Scottsdale, AZ 85259, USA.
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21
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Chen X, Varma G, Davies F, Morgan G. Approach to High-Risk Multiple Myeloma. Hematol Oncol Clin North Am 2024; 38:497-510. [PMID: 38195306 DOI: 10.1016/j.hoc.2023.12.008] [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] [Indexed: 01/11/2024]
Abstract
Improving the outcome of high-risk myeloma (HRMM) is a key therapeutic aim for the next decade. To achieve this aim, it is necessary to understand in detail the genetic drivers underlying this clinical behavior and to target its biology therapeutically. Advances have already been made, with a focus on consensus guidance and the application of novel immunotherapeutic approaches. Cases of HRMM are likely to have impaired prognosis even with novel strategies. However, if disease eradication and minimal disease states are achieved, then cure may be possible.
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Affiliation(s)
- Xiaoyi Chen
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA
| | - Gaurav Varma
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA
| | - Faith Davies
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA
| | - Gareth Morgan
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA.
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22
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Bandyopadhyay S, Duffy M, Ahn KJ, Pang M, Smith D, Duncan G, Sussman J, Zhang I, Huang J, Lin Y, Xiong B, Imtiaz T, Chen CH, Thadi A, Chen C, Xu J, Reichart M, Pillai V, Snaith O, Oldridge D, Bhattacharyya S, Maillard I, Carroll M, Nelson C, Qin L, Tan K. Mapping the Cellular Biogeography of Human Bone Marrow Niches Using Single-Cell Transcriptomics and Proteomic Imaging. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.14.585083. [PMID: 38559168 PMCID: PMC10979999 DOI: 10.1101/2024.03.14.585083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The bone marrow is the organ responsible for blood production. Diverse non-hematopoietic cells contribute essentially to hematopoiesis. However, these cells and their spatial organization remain largely uncharacterized as they have been technically challenging to study in humans. Here, we used fresh femoral head samples and performed single-cell RNA sequencing (scRNA-Seq) to profile 29,325 enriched non-hematopoietic bone marrow cells and discover nine transcriptionally distinct subtypes. We next employed CO-detection by inDEXing (CODEX) multiplexed imaging of 18 individuals, including both healthy and acute myeloid leukemia (AML) samples, to spatially profile over one million single cells with a novel 53-antibody panel. We discovered a relatively hyperoxygenated arterio-endosteal niche for early myelopoiesis, and an adipocytic, but not endosteal or perivascular, niche for early hematopoietic stem and progenitor cells. We used our atlas to predict cell type labels in new bone marrow images and used these predictions to uncover mesenchymal stromal cell (MSC) expansion and leukemic blast/MSC-enriched spatial neighborhoods in AML patient samples. Our work represents the first comprehensive, spatially-resolved multiomic atlas of human bone marrow and will serve as a reference for future investigation of cellular interactions that drive hematopoiesis.
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Affiliation(s)
- Shovik Bandyopadhyay
- Cellular and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Michael Duffy
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kyung Jin Ahn
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Minxing Pang
- Applied Mathematics & Computational Science Graduate Group, University of Pennsylvania, Philadelphia, PA
| | - David Smith
- Center for Single Cell Biology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Gwendolyn Duncan
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA
| | - Jonathan Sussman
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Iris Zhang
- Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA
| | - Jeffrey Huang
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA
| | - Yulieh Lin
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Barbara Xiong
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Tamjid Imtiaz
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA
| | - Chia-Hui Chen
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Anusha Thadi
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Changya Chen
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Jason Xu
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Melissa Reichart
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Vinodh Pillai
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Oraine Snaith
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Derek Oldridge
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Siddharth Bhattacharyya
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ivan Maillard
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Martin Carroll
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Charles Nelson
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ling Qin
- Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kai Tan
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA
- Center for Single Cell Biology, Children's Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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23
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de Jong MME, Chen L, Raaijmakers MHGP, Cupedo T. Bone marrow inflammation in haematological malignancies. Nat Rev Immunol 2024:10.1038/s41577-024-01003-x. [PMID: 38491073 DOI: 10.1038/s41577-024-01003-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/07/2024] [Indexed: 03/18/2024]
Abstract
Tissue inflammation is a hallmark of tumour microenvironments. In the bone marrow, tumour-associated inflammation impacts normal niches for haematopoietic progenitor cells and mature immune cells and supports the outgrowth and survival of malignant cells residing in these niche compartments. This Review provides an overview of our current understanding of inflammatory changes in the bone marrow microenvironment of myeloid and lymphoid malignancies, using acute myeloid leukaemia and multiple myeloma as examples and highlights unique and shared features of inflammation in niches for progenitor cells and plasma cells. Importantly, inflammation exerts profoundly different effects on normal bone marrow niches in these malignancies, and we provide context for possible drivers of these divergent effects. We explore the role of tumour cells in inflammatory changes, as well as the role of cellular constituents of normal bone marrow niches, including myeloid cells and stromal cells. Integrating knowledge of disease-specific dynamics of malignancy-associated bone marrow inflammation will provide a necessary framework for future targeting of these processes to improve patient outcome.
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Affiliation(s)
- Madelon M E de Jong
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Lanpeng Chen
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | | | - Tom Cupedo
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
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24
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Mertens TF, Liebheit AT, Ehl J, Köhler R, Rakhymzhan A, Woehler A, Katthän L, Ebel G, Liublin W, Kasapi A, Triantafyllopoulou A, Schulz TJ, Niesner RA, Hauser AE. MarShie: a clearing protocol for 3D analysis of single cells throughout the bone marrow at subcellular resolution. Nat Commun 2024; 15:1764. [PMID: 38409121 PMCID: PMC10897183 DOI: 10.1038/s41467-024-45827-6] [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: 03/06/2023] [Accepted: 02/01/2024] [Indexed: 02/28/2024] Open
Abstract
Analyzing immune cell interactions in the bone marrow is vital for understanding hematopoiesis and bone homeostasis. Three-dimensional analysis of the complete, intact bone marrow within the cortex of whole long bones remains a challenge, especially at subcellular resolution. We present a method that stabilizes the marrow and provides subcellular resolution of fluorescent signals throughout the murine femur, enabling identification and spatial characterization of hematopoietic and stromal cell subsets. By combining a pre-processing algorithm for stripe artifact removal with a machine-learning approach, we demonstrate reliable cell segmentation down to the deepest bone marrow regions. This reveals age-related changes in the marrow. It highlights the interaction between CX3CR1+ cells and the vascular system in homeostasis, in contrast to other myeloid cell types, and reveals their spatial characteristics after injury. The broad applicability of this method will contribute to a better understanding of bone marrow biology.
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Affiliation(s)
- Till Fabian Mertens
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Alina Tabea Liebheit
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
- Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Johanna Ehl
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Ralf Köhler
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Asylkhan Rakhymzhan
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Andrew Woehler
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, 10115, Berlin, Germany
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, 20147, USA
| | - Lukas Katthän
- Miltenyi Biotec B.V. and Co. Bertha-von-Suttner-Straße 5, 37085, Göttingen, Germany
| | - Gernot Ebel
- Miltenyi Biotec B.V. and Co. Bertha-von-Suttner-Straße 5, 37085, Göttingen, Germany
| | - Wjatscheslaw Liublin
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Ana Kasapi
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Innate Immunity in Rheumatic Diseases, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Antigoni Triantafyllopoulou
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Innate Immunity in Rheumatic Diseases, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Tim Julius Schulz
- Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition (DIfE) Potsdam-Rehbruecke, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), 85764, Munich-Neuherberg, Germany
| | - Raluca Aura Niesner
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
- Dynamic and Functional in vivo Imaging, Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Anja Erika Hauser
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany.
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany.
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25
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Verbruggen SW, Freeman CL, Freeman FE. Utilizing 3D Models to Unravel the Dynamics of Myeloma Plasma Cells' Escape from the Bone Marrow Microenvironment. Cancers (Basel) 2024; 16:889. [PMID: 38473251 DOI: 10.3390/cancers16050889] [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: 01/25/2024] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 03/14/2024] Open
Abstract
Recent therapeutic advancements have markedly increased the survival rates of individuals with multiple myeloma (MM), doubling survival compared to pre-2000 estimates. This progress, driven by highly effective novel agents, suggests a growing population of MM survivors exceeding the 10-year mark post-diagnosis. However, contemporary clinical observations indicate potential trends toward more aggressive relapse phenotypes, characterized by extramedullary disease and dominant proliferative clones, despite these highly effective treatments. To build upon these advances, it is crucial to develop models of MM evolution, particularly focusing on understanding the biological mechanisms behind its development outside the bone marrow. This comprehensive understanding is essential to devising innovative treatment strategies. This review emphasizes the role of 3D models, specifically addressing the bone marrow microenvironment and development of extramedullary sites. It explores the current state-of-the-art in MM modelling, highlighting challenges in replicating the disease's complexity. Recognizing the unique demand for accurate models, the discussion underscores the potential impact of these advanced 3D models on understanding and combating this heterogeneous and still incurable disease.
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Affiliation(s)
- Stefaan W Verbruggen
- Digital Environment Research Institute, Queen Mary University of London, London E1 4NS, UK
- Center for Predictive In Vitro Models, School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK
- INSIGNEO Institute for In Silico Medicine, University of Sheffield, Sheffield S1 3JD, UK
| | - Ciara L Freeman
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Fiona E Freeman
- School of Mechanical and Materials Engineering, Engineering and Materials Science Centre, University College Dublin, D04 V1W8 Dublin, Ireland
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, D04 V1W8 Dublin, Ireland
- Trinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College Dublin, D02 PN40 Dublin, Ireland
- Department of Mechanical Manufacturing, and Biomedical Engineering, School of Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland
- Advanced Materials and Bioengineering Research Centre (AMBER), Royal College of Surgeons in Ireland and Trinity College Dublin, D02 YN77 Dublin, Ireland
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26
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Yan S, Guo Y, Lin L, Zhang W. Breaks for Precision Medicine in Cancer: Development and Prospects of Spatiotemporal Transcriptomics. Cancer Biother Radiopharm 2024; 39:35-45. [PMID: 38181185 DOI: 10.1089/cbr.2023.0116] [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] [Indexed: 01/07/2024] Open
Abstract
With the development of the social economy and the deepening understanding of cancer, cancer has become a significant cause of death, threatening human health. Although researchers have made rapid progress in cancer treatment strategies in recent years, the overall survival of cancer patients is still not optimistic. Therefore, it is essential to reveal the spatial pattern of gene expression, spatial heterogeneity of cell populations, microenvironment interactions, and other aspects of cancer. Spatiotemporal transcriptomics can help analyze the mechanism of cancer occurrence and development, greatly help precise cancer treatment, and improve clinical prognosis. Here, we review the integration strategies of single-cell RNA sequencing and spatial transcriptomics data, summarize the recent advances in spatiotemporal transcriptomics in cancer studies, and discuss the combined application of spatial multiomics, which provides new directions and strategies for the precise treatment and clinical prognosis of cancer.
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Affiliation(s)
- Shiqi Yan
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China
| | - Yilin Guo
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China
| | - Lizhong Lin
- Department of Clinical Laboratory, The First People's Hospital of Changde City, Changde, Hunan, People's Republic of China
| | - Wenling Zhang
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China
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27
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Cui J, Lv R, Yu T, Yan W, Xu J, Fan H, Li L, Liu Y, Du C, Deng S, Sui W, Xu Y, Yi S, Zou D, Qiu L, An G. Minor clone of del(17p) provides a reservoir for relapse in multiple myeloma. Haematologica 2024; 109:591-603. [PMID: 37534514 PMCID: PMC10828782 DOI: 10.3324/haematol.2023.283533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 07/27/2023] [Indexed: 08/04/2023] Open
Abstract
The deletion of chromosome 17p (del(17p)) is considered a crucial prognostic factor at the time of diagnosis in patients with multiple myeloma (MM). However, the impact of del(17p) on survival at different clonal sizes at relapse, as well as the patterns of clonal evolution between diagnosis and relapse and their prognostic value, has not been well described. To address these issues, we analyzed the interphase fluorescence in situ hybridization (iFISH) results of 995 newly diagnosed MM (NDMM) patients and 293 patients with MM at their first relapse. Among these patients, 197 had paired iFISH data at diagnosis and first relapse. Our analysis of paired iFISH revealed that a minor clone of del(17p) at relapse but not at diagnosis was associated with poor prognosis in MM (hazard ratio for median overall survival 1.64 vs. 1.44). Fifty-six and 12 patients developed one or more new cytogenetic abnormalities at relapse, mainly del(17p) and gain/amp(1q), respectively. We classified the patients into six groups based on the change patterns in the clonal size of del(17p) between the two time points. Patients who did not have del(17p) during follow-up showed the best outcomes, whereas those who acquired del(17p) during their disease course, experienced compromised survival (median overall survival: 61.3 vs. 49.4 months; hazard ratio =1.64; 95% confidence interval: 1.06-2.56; P<0.05). In conclusion, our data confirmed the adverse impact of a minor clone of del(17p) at relapse and highlighted the importance of designing optimal therapeutic strategies to eliminate high-risk cytogenetic abnormalities (clinicaltrials gov. identifier: NCT04645199).
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Affiliation(s)
- Jian Cui
- 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Rui 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Tengteng 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China; LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Wenqiang Yan
- 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Jingyu 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Huishou Fan
- 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Lingna Li
- 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Yuntong 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Chenxing Du
- 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Dehui Zou
- 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600.
| | - 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 Science and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600.
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28
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Zhao Q, Li F, Li J, Xia Y, Wang J, Chen L. An inflammatory response-related gene signature can predict the prognosis and impact the immune infiltration of multiple myeloma. Clin Exp Med 2024; 24:16. [PMID: 38280104 PMCID: PMC10821848 DOI: 10.1007/s10238-023-01277-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 11/25/2023] [Indexed: 01/29/2024]
Abstract
Multiple myeloma (MM) is a highly heterogeneous and incurable disease. Inflammation plays a vital role in cancer genesis and progression. However, the relationship between inflammatory response-related genes (IRRGs) and the prognosis of MM patients remains unknown. We constructed a IRRGs prognosis model by least absolute shrinkage and selection operator regression analysis. Moreover, clinical multivariate regression was performed to identify clinical implications. Gene set enrichment analysis was implemented to conduct its biological properties. CIBERSORT deconvolution algorithm was utilized to calculate the immune cell infiltration in different risk groups. The flow cytometry was utilized to perform protein expression of prognostic gene. A Six-IRRGs (VCAM1, RGS1, KIT, CD81, BLNK, and BIRC3) prognostic risk model was successfully constructed and validated. The risk model was an independent predictor for overall survival. Enrichment analysis revealed autophagy and PI3K-Akt signaling pathways were enriched in the high-risk group. Furthermore, we found CD81 widely impacted on the infiltration of immune cells, especially on monocytes and macrophages2. At last, the role of CD81 in MM was confirmed to be an adverse prognostic factor in clinical. Our study explores the potential application value of IRRGs in MM. These findings may provide new insights into the treatment for MM patients.
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Affiliation(s)
- Qian Zhao
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China
- Department of Hematology, Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China
| | - Feng Li
- Department of Hematology, Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China
| | - Jing Li
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China
| | - Yuan Xia
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China
| | - Jing Wang
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China
| | - Lijuan Chen
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
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29
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Gong L, Qiu L, Hao M. Novel Insights into the Initiation, Evolution, and Progression of Multiple Myeloma by Multi-Omics Investigation. Cancers (Basel) 2024; 16:498. [PMID: 38339250 PMCID: PMC10854875 DOI: 10.3390/cancers16030498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/08/2024] [Accepted: 01/15/2024] [Indexed: 02/12/2024] Open
Abstract
The evolutionary history of multiple myeloma (MM) includes malignant transformation, followed by progression to pre-malignant stages and overt malignancy, ultimately leading to more aggressive and resistant forms. Over the past decade, large effort has been made to identify the potential therapeutic targets in MM. However, MM remains largely incurable. Most patients experience multiple relapses and inevitably become refractory to treatment. Tumor-initiating cell populations are the postulated population, leading to the recurrent relapses in many hematological malignancies. Clonal evolution of tumor cells in MM has been identified along with the disease progression. As a consequence of different responses to the treatment of heterogeneous MM cell clones, the more aggressive populations survive and evolve. In addition, the tumor microenvironment is a complex ecosystem which plays multifaceted roles in supporting tumor cell evolution. Emerging multi-omics research at single-cell resolution permits an integrative and comprehensive profiling of the tumor cells and microenvironment, deepening the understanding of biological features of MM. In this review, we intend to discuss the novel insights into tumor cell initiation, clonal evolution, drug resistance, and tumor microenvironment in MM, as revealed by emerging multi-omics investigations. These data suggest a promising strategy to unravel the pivotal mechanisms of MM progression and enable the improvement in treatment, both holistically and precisely.
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Affiliation(s)
- 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, No. 288 Nanjing Road, Tianjin 300020, China;
- Tianjin Institutes of Health Science, 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, No. 288 Nanjing Road, Tianjin 300020, China;
- Tianjin Institutes of Health Science, Tianjin 300020, 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, No. 288 Nanjing Road, Tianjin 300020, China;
- Tianjin Institutes of Health Science, Tianjin 300020, China
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30
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Li X, Wang Y, Yang Q, Song L, Kang L, Hu Z, Wang Z. Microarray-Based CD38 Peptide Probe Screening for Multiple Myeloma Imaging. Mol Pharm 2024; 21:245-254. [PMID: 38096423 DOI: 10.1021/acs.molpharmaceut.3c00808] [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] [Indexed: 01/02/2024]
Abstract
Assessing CD38 expression in vivo has become a significant element in multiple myeloma (MM) therapy, as it can be used to detect lesions and forecast the effectiveness of treatment. Accurate diagnosis requires a multifunctional, high-throughput probe screening platform to develop molecular probes for tumor-targeted multimodal imaging and treatment. Here, we investigated a microarray chip-based strategy for high-throughput screening of peptide probes for CD38. We obtained two new target peptides, CA-1 and CA-2, from a 105 peptide library with a dissociation constant (KD) of 10-7 M. The specificity and affinity of the target peptides were confirmed at the molecular and cellular levels. Peptide probes were labeled with indocyanine green (ICG) dye and 68Ga-DOTA, which were injected into a CD38-positive Ramos tumor-bearing mouse via its tail vein, and small animal fluorescence and positron emission tomography (PET) imaging showed that the peptide probes could show specific enrichment in the tumor tissue. Our study shows that a microchip-based screening of peptide probes can be used as a promising imaging tool for MM diagnosis.
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Affiliation(s)
- Xuejie Li
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350122, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Yuanzhuo Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Qi Yang
- Department of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China
| | - Lele Song
- Department of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China
| | - Lei Kang
- Department of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China
| | - Zhiyuan Hu
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350122, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- School of Nanoscience and Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, China
| | - Zihua Wang
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350122, China
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31
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Xu L, Wu S. New diagnostic strategy for multiple myeloma: A review. Medicine (Baltimore) 2023; 102:e36660. [PMID: 38206744 PMCID: PMC10754592 DOI: 10.1097/md.0000000000036660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 11/22/2023] [Indexed: 01/13/2024] Open
Abstract
Multiple myeloma (MM) is the second most prevalent hematological malignancy and is distinguished by the aberrant proliferation of monoclonal plasma cells inside the bone marrow and production of M-protein. This condition frequently results in bone deterioration, acute kidney damage, anemia, and hypercalcemia. However, the clinical manifestations and accompanying symptoms of MM vary and may change as the condition evolves. Therefore, diagnosis of MM is difficult. At present, the confirmation of MM diagnosis necessitates the use of bone marrow biopsy, a procedure that is both invasive and challenging for assessing dynamic alterations in the disease. The integration of laboratory testing technologies with imaging technology has the potential to enhance the diagnostic effectiveness and provide a thorough evaluation of disease progression and prognosis in patients with MM. All the examination methods have advantages and disadvantages. Therefore, diagnosis is determined by the application of clinical characteristics, serological tests, and imaging investigations.
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Affiliation(s)
- Ligong Xu
- Department of Radiology, The First Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Shuang Wu
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
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32
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Laurenzana I, De Luca L, Zoppoli P, Calice G, Sgambato A, Carella AM, Caivano A, Trino S. DNA methylation of hematopoietic stem/progenitor cells from donor peripheral blood to patient bone marrow: implications for allogeneic hematopoietic stem cell transplantation. Clin Exp Med 2023; 23:4493-4510. [PMID: 37029309 PMCID: PMC10725404 DOI: 10.1007/s10238-023-01053-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/20/2023] [Indexed: 04/09/2023]
Abstract
Allogeneic hematopoietic stem cell transplantation (AHSCT) is a life-saving treatment for selected hematological malignancies. So far, it remains unclear whether transplanted hematopoietic stem/progenitor cells (HSPCs) undergo epigenetic changes upon engraftment in recipient bone marrow (BM) after AHSCT and whether these changes might be useful in the transplant diagnostics. The purpose of this study was to characterize the whole genome methylation profile of HSPCs following AHSCT. Moreover, the relationship between the observed methylation signature and patient outcome was analyzed. Mobilized peripheral blood (mPB)-HSPCs from seven donors and BM-HSPCs longitudinally collected from transplanted patients with hematological malignancies up to one year from AHSCT (a total of twenty-eight samples) were analyzed using DNA methylation based-arrays. The obtained data showed that DNA methylation of mPB-HSPCs differs between young and adult donors and changes following HSPC engraftment in the BM of recipient patients. Looking at methylation in promoter regions, at 30 days post-AHSCT, BM-HSPCs showed a higher number of differentially methylated genes (DMGs) compared to those of mPB-HSPCs, with a prevalent hyper-methylation. These changes were maintained during all the analyzed time points, and methylation became like the donors after one year from transplant. Functional analysis of these DMGs showed an enrichment in cell adhesion, differentiation and cytokine (interleukin-2, -5 and -7) production and signaling pathways. Of note, DNA methylation analysis allowed to identify a potential "cancer/graft methylation signature" of transplant failure. It was evident in the latest available post-transplant BM-HSPC sample (at 160 days) and surprisingly already in early phase (at 30 days) in patients whose transplant was doomed to fail. Overall, the analysis of HSPC methylation profile could offer useful prognostic information to potentially assess engraftment success and predict graft failure in AHSCT.
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Affiliation(s)
- Ilaria Laurenzana
- Laboratory of Preclinical and Translational Research, Centro di Riferimento Oncologico della Basilicata (IRCCS CROB), Rionero in Vulture, Italy
| | - Luciana De Luca
- Unit of Clinical Pathology, Centro di Riferimento Oncologico della Basilicata (IRCCS CROB), Rionero in Vulture, Italy
| | - Pietro Zoppoli
- Laboratory of Preclinical and Translational Research, Centro di Riferimento Oncologico della Basilicata (IRCCS CROB), Rionero in Vulture, Italy.
- Department of Molecular Medicine and Health Biotechnology, Università di Napoli Federico II, 80131, Naples, Italy.
| | - Giovanni Calice
- Laboratory of Preclinical and Translational Research, Centro di Riferimento Oncologico della Basilicata (IRCCS CROB), Rionero in Vulture, Italy
| | - Alessandro Sgambato
- Scientific Direction, Centro di Riferimento Oncologico della Basilicata (IRCCS CROB), Rionero in Vulture, Italy
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Angelo Michele Carella
- Department of Hematology and Stem Cell Transplant Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Antonella Caivano
- Unit of Clinical Pathology, Centro di Riferimento Oncologico della Basilicata (IRCCS CROB), Rionero in Vulture, Italy.
| | - Stefania Trino
- Laboratory of Preclinical and Translational Research, Centro di Riferimento Oncologico della Basilicata (IRCCS CROB), Rionero in Vulture, Italy
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Sylvestre M, Barbier N, Sibut V, Nayar S, Monvoisin C, Leonard S, Saint-Vanne J, Martin A, Guirriec M, Latour M, Jouan F, Baulande S, Bohec M, Verdière L, Mechta-Grigoriou F, Mourcin F, Bertheuil N, Barone F, Tarte K, Roulois D. KDM6B drives epigenetic reprogramming associated with lymphoid stromal cell early commitment and immune properties. SCIENCE ADVANCES 2023; 9:eadh2708. [PMID: 38019914 PMCID: PMC10686565 DOI: 10.1126/sciadv.adh2708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023]
Abstract
Mature lymphoid stromal cells (LSCs) are key organizers of immune responses within secondary lymphoid organs. Similarly, inflammation-driven tertiary lymphoid structures depend on immunofibroblasts producing lymphoid cytokines and chemokines. Recent studies have explored the origin and heterogeneity of LSC/immunofibroblasts, yet the molecular and epigenetic mechanisms involved in their commitment are still unknown. This study explored the transcriptomic and epigenetic reprogramming underlying LSC/immunofibroblast commitment. We identified the induction of lysine demethylase 6B (KDM6B) as the primary epigenetic driver of early immunofibroblast differentiation. In addition, we observed an enrichment for KDM6B gene signature in murine inflammatory fibroblasts and pathogenic stroma of patients with autoimmune diseases. Last, KDM6B was required for the acquisition of LSC/immunofibroblast functional properties, including the up-regulation of CCL2 and the resulting recruitment of monocytes. Overall, our results reveal epigenetic mechanisms that participate in the early commitment and immune properties of immunofibroblasts and support the use of epigenetic modifiers as fibroblast-targeting strategies in chronic inflammation.
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Affiliation(s)
- Marvin Sylvestre
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
| | - Nicolas Barbier
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
| | - Vonick Sibut
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
| | - Saba Nayar
- Centre for Translational inflammation Research, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham Research Laboratories, Queen Elizabeth Hospital, Birmingham, UK
| | - Céline Monvoisin
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
| | - Simon Leonard
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
- LabEx IGO “Immunotherapy, Graft, Oncology”, F-35043 Nantes, France
| | - Julien Saint-Vanne
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
- SITI, Pôle Biologie, CHU Rennes, F-35033 Rennes, France
| | - Ansie Martin
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
| | - Marion Guirriec
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
| | - Maëlle Latour
- SITI, Pôle Biologie, CHU Rennes, F-35033 Rennes, France
| | - Florence Jouan
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
| | - Sylvain Baulande
- Institut Curie Genomics of Excellence (ICGex) Platform, Institut Curie Research Center, PSL Research University, F-75005 Paris, France
| | - Mylène Bohec
- Institut Curie Genomics of Excellence (ICGex) Platform, Institut Curie Research Center, PSL Research University, F-75005 Paris, France
| | - Léa Verdière
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
| | - Fatima Mechta-Grigoriou
- Stress and Cancer Laboratory, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Institut Curie, INSERM, U830, PSL Research University, 26, rue d’Ulm, F-75005 Paris, France
| | - Frédéric Mourcin
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
| | - Nicolas Bertheuil
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
- Department of Plastic Surgery, CHU Rennes, F-35033 Rennes, France
| | | | - Karin Tarte
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
- SITI, Pôle Biologie, CHU Rennes, F-35033 Rennes, France
| | - David Roulois
- Honeycomb team, Equipe Labellisée par la Ligue Nationale Contre le Cancer, Univ Rennes, INSERM, EFS, UMR S1236, Rennes, France
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Giallongo S, Duminuco A, Dulcamare I, Zuppelli T, La Spina E, Scandura G, Santisi A, Romano A, Di Raimondo F, Tibullo D, Palumbo GA, Giallongo C. Engagement of Mesenchymal Stromal Cells in the Remodeling of the Bone Marrow Microenvironment in Hematological Cancers. Biomolecules 2023; 13:1701. [PMID: 38136573 PMCID: PMC10741414 DOI: 10.3390/biom13121701] [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: 10/30/2023] [Revised: 11/17/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023] Open
Abstract
Mesenchymal stromal cells (MSCs) are a subset of heterogeneous, non-hematopoietic fibroblast-like cells which play important roles in tissue repair, inflammation, and immune modulation. MSCs residing in the bone marrow microenvironment (BMME) functionally interact with hematopoietic stem progenitor cells regulating hematopoiesis. However, MSCs have also emerged in recent years as key regulators of the tumor microenvironment. Indeed, they are now considered active players in the pathophysiology of hematologic malignancies rather than passive bystanders in the hematopoietic microenvironment. Once a malignant event occurs, the BMME acquires cellular, molecular, and epigenetic abnormalities affecting tumor growth and progression. In this context, MSC behavior is affected by signals coming from cancer cells. Furthermore, it has been shown that stromal cells themselves play a major role in several hematological malignancies' pathogenesis. This bidirectional crosstalk creates a functional tumor niche unit wherein tumor cells acquire a selective advantage over their normal counterparts and are protected from drug treatment. It is therefore of critical importance to unveil the underlying mechanisms which activate a protumor phenotype of MSCs for defining the unmasked vulnerabilities of hematological cancer cells which could be pharmacologically exploited to disrupt tumor/MSC coupling. The present review focuses on the current knowledge about MSC dysfunction mechanisms in the BMME of hematological cancers, sustaining tumor growth, immune escape, and cancer progression.
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Affiliation(s)
- Sebastiano Giallongo
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95123 Catania, Italy; (S.G.); (G.A.P.); (C.G.)
| | - Andrea Duminuco
- Division of Hematology, AOU Policlinico, 95123 Catania, Italy; (A.D.); (A.S.)
| | - Ilaria Dulcamare
- Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy;
| | - Tatiana Zuppelli
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (T.Z.); (E.L.S.)
| | - Enrico La Spina
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (T.Z.); (E.L.S.)
| | - Grazia Scandura
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy; (G.S.); (A.R.); (F.D.R.)
| | - Annalisa Santisi
- Division of Hematology, AOU Policlinico, 95123 Catania, Italy; (A.D.); (A.S.)
| | - Alessandra Romano
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy; (G.S.); (A.R.); (F.D.R.)
| | - Francesco Di Raimondo
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy; (G.S.); (A.R.); (F.D.R.)
| | - Daniele Tibullo
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (T.Z.); (E.L.S.)
| | - Giuseppe A. Palumbo
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95123 Catania, Italy; (S.G.); (G.A.P.); (C.G.)
| | - Cesarina Giallongo
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95123 Catania, Italy; (S.G.); (G.A.P.); (C.G.)
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Williams CMD, Noll JE, Bradey AL, Duggan J, Wilczek VJ, Masavuli MG, Grubor‐Bauk B, Panagopoulos RA, Hewett DR, Mrozik KM, Zannettino ACW, Vandyke K, Panagopoulos V. Myeloperoxidase creates a permissive microenvironmental niche for the progression of multiple myeloma. Br J Haematol 2023; 203:614-624. [PMID: 37699574 PMCID: PMC10952523 DOI: 10.1111/bjh.19102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/07/2023] [Accepted: 08/30/2023] [Indexed: 09/14/2023]
Abstract
Expression of myeloperoxidase (MPO), a key inflammatory enzyme restricted to myeloid cells, is negatively associated with the development of solid tumours. Activated myeloid cell populations are increased in multiple myeloma (MM); however, the functional consequences of myeloid-derived MPO within the myeloma microenvironment are unknown. Here, the role of MPO in MM pathogenesis was investigated, and the capacity for pharmacological inhibition of MPO to impede MM progression was evaluated. In the 5TGM1-KaLwRij mouse model of myeloma, the early stages of tumour development were associated with an increase in CD11b+ myeloid cell populations and an increase in Mpo expression within the bone marrow (BM). Interestingly, MM tumour cell homing was increased towards sites of elevated myeloid cell numbers and MPO activity within the BM. Mechanistically, MPO induced the expression of key MM growth factors, resulting in tumour cell proliferation and suppressed cytotoxic T-cell activity. Notably, tumour growth studies in mice treated with a small-molecule irreversible inhibitor of MPO (4-ABAH) demonstrated a significant reduction in overall MM tumour burden. Taken together, our data demonstrate that MPO contributes to MM tumour growth, and that MPO-specific inhibitors may provide a new therapeutic strategy to limit MM disease progression.
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Affiliation(s)
- Connor M. D. Williams
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Jacqueline E. Noll
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Alanah L. Bradey
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Jvaughn Duggan
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Vicki J. Wilczek
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Makutiro G. Masavuli
- Viral Immunology Group, Discipline of Surgery, Basil Hetzel Institute for Translational Health ResearchUniversity of AdelaideAdelaideAustralia
| | - Branka Grubor‐Bauk
- Viral Immunology Group, Discipline of Surgery, Basil Hetzel Institute for Translational Health ResearchUniversity of AdelaideAdelaideAustralia
| | - Romana A. Panagopoulos
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
- Breast Cancer Research Unit, Discipline of Surgery, Basil Hetzel Institute for Translational Health ResearchUniversity of AdelaideAdelaideAustralia
| | - Duncan R. Hewett
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Krzysztof M. Mrozik
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Andrew C. W. Zannettino
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Kate Vandyke
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Vasilios Panagopoulos
- Myeloma Research Laboratory, Faculty of Health and Medical Sciences, School of BiomedicineUniversity of AdelaideAdelaideAustralia
- Solid Tumour Program, Precision Cancer Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
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36
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Zhu Y, Chang S, Liu J, Wang B. Identification of a novel cuproptosis-related gene signature for multiple myeloma diagnosis. Immun Inflamm Dis 2023; 11:e1058. [PMID: 38018590 PMCID: PMC10629272 DOI: 10.1002/iid3.1058] [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: 04/07/2023] [Revised: 08/19/2023] [Accepted: 10/11/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Multiple myeloma (MM) ranks second among the most prevalent hematological malignancies. Recent studies have unearthed the promise of cuproptosis as a novel therapeutic intervention for cancer. However, no research has unveiled the particular roles of cuproptosis-related genes (CRGs) in the prediction of MM diagnosis. METHODS Microarray data and clinical characteristics of MM patients were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed gene analysis, least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE) algorithms were applied to identify potential signature genes for MM diagnosis. Predictive performance was further assessed by receiver operating characteristic (ROC) curves, nomogram analysis, and external data sets. Functional enrichment analysis was performed to elucidate the involved mechanisms. Finally, the expression of the identified genes was validated by quantitative real-time polymerase chain reaction (qRT-PCR) in MM cell samples. RESULTS The optimal gene signature was identified using LASSO and SVM-RFE algorithms based on the differentially expressed CRGs: ATP7A, FDX1, PDHA1, PDHB, MTF1, CDKN2A, and DLST. Our gene signature-based nomogram revealed a high degree of accuracy in predicting MM diagnosis. ROC curves showed the signature had dependable predictive ability across all data sets, with area under the curve values exceeding 0.80. Additionally, functional enrichment analysis suggested significant associations between the signature genes and immune-related pathways. The expression of the genes was validated in MM cells, indicating the robustness of these findings. CONCLUSION We discovered and validated a novel CRG signature with strong predictive capability for diagnosing MM, potentially implicated in MM pathogenesis and progression through immune-related pathways.
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Affiliation(s)
- Yidong Zhu
- Department of Traditional Chinese Medicine, Shanghai Tenth People's HospitalTongji University School of MedicineShanghaiChina
| | - Shuaikang Chang
- Department of Hematology, Shanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Jun Liu
- Department of Traditional Chinese Medicine, Shanghai Tenth People's HospitalTongji University School of MedicineShanghaiChina
| | - Bo Wang
- Department of Endocrinology, Yangpu HospitalTongji University School of MedicineShanghaiChina
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Wang L, Yi W, Ma L, Lecea E, Hazlehurst LA, Adjeroh DA, Hu G. Inflammatory Bone Marrow Mesenchymal Stem Cells in Multiple Myeloma: Transcriptional Signature and In Vitro Modeling. Cancers (Basel) 2023; 15:5148. [PMID: 37958322 PMCID: PMC10650304 DOI: 10.3390/cancers15215148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/06/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
Bone marrow mesenchymal stem cells (BM MSCs) play a tumor-supportive role in promoting drug resistance and disease relapse in multiple myeloma (MM). Recent studies have discovered a sub-population of MSCs, known as inflammatory MSCs (iMSCs), exclusive to the MM BM microenvironment and implicated in drug resistance. Through a sophisticated analysis of public expression data from unexpanded BM MSCs, we uncovered a positive association between iMSC signature expression and minimal residual disease. While in vitro expansion generally results in the loss of the iMSC signature, our meta-analysis of additional public expression data demonstrated that cytokine stimulation, including IL1-β and TNF-α, as well as immune cells such as neutrophils, macrophages, and MM cells, can reactivate the signature expression of iMSCs to varying extents. These findings underscore the importance and potential utility of cytokine stimulation in mimicking the gene expression signature of early passage of iMSCs for functional characterizations of their tumor-supportive roles in MM.
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Affiliation(s)
- Lei Wang
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
| | - Weijun Yi
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
- Lane Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA;
| | - Li Ma
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
| | - Emily Lecea
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
| | - Lori A. Hazlehurst
- WVU Cancer Institute, West Virginia University, Morgantown, WV 26506, USA;
- Department of Pharmaceutical Sciences, School of Pharmacy, West Virginia University, Morganton, WV 26506, USA
| | - Donald A. Adjeroh
- Lane Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA;
| | - Gangqing Hu
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
- WVU Cancer Institute, West Virginia University, Morgantown, WV 26506, USA;
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Sun L, Yao Y. Mesenchymal stem/stromal cells- a principal element for tumour microenvironment heterogeneity. Front Immunol 2023; 14:1274379. [PMID: 37885883 PMCID: PMC10599013 DOI: 10.3389/fimmu.2023.1274379] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 09/28/2023] [Indexed: 10/28/2023] Open
Abstract
The heterogeneity of the tumor microenvironment (TME) is a major obstacle in cancer treatment, making most therapeutic interventions palliative rather than curative. Previous studies have suggested that the reason for the low efficacy of immunotherapy and the relapse of the original responders over time may be due to the complex network of mesenchymal stem/stromal cells (MSCs), a population of multipotent progenitor cells existing in a variety of tissues. Cancer-associated MSCs (CA-MSCs) have already been isolated from various types of tumors and are characterized by their vigorous pro-tumorigenic functions. Although the roles of CA-MSCs from different sources vary widely, their origins are still poorly understood. Current evidence suggests that when local resident or distally recruited MSCs interact with tumor cells and other components in the TME, "naïve" MSCs undergo genetic and functional changes to form CA-MSCs. In this review, we mainly focus on the multiple roles of CA-MSCs derived from different sources, which may help in elucidating the formation and function of the entire TME, as well as discover innovative targets for anti-cancer therapies.
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Affiliation(s)
| | - Yongliang Yao
- Department of Clinical Laboratory, Kunshan First People’s Hospital, Affiliated to Jiangsu University, Kunshan, China
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Wang J, Peng Z, Guo J, Wang Y, Wang S, Jiang H, Wang M, Xie Y, Li X, Hu M, Xie Y, Cheng H, Li T, Jia L, Song J, Wang Y, Hou J, Liu Z. CXCL10 Recruitment of γδ T Cells into the Hypoxic Bone Marrow Environment Leads to IL17 Expression and Multiple Myeloma Progression. Cancer Immunol Res 2023; 11:1384-1399. [PMID: 37586075 DOI: 10.1158/2326-6066.cir-23-0088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/16/2023] [Accepted: 08/15/2023] [Indexed: 08/18/2023]
Abstract
In multiple myeloma (MM), bone marrow stromal cells (BMSC) shape a unique niche within the bone marrow, promoting T-cell dysfunction and driving MM progression; however, the precise underlying mechanisms remain elusive. Here, we show that BMSC-mediated reprogramming of MM cells led to heightened production of CXCL10. CXCL10 orchestrated the recruitment of γδ T cells into the bone marrow, and this was observed in both the Vk*MYC and 5TGM1 mouse models of MM, as well as in patients experiencing refractory or relapsed MM. Furthermore, the dysfunctional γδ T cells in the MM bone marrow niche exhibited increased PD-1 expression and IL17 production. In the Vk*MYC mouse model, MM-associated bone lesions and mortality were markedly alleviated in Tcrd-/- mice, and MM disease progression could be rescued in these mice upon transplantation of γδ T cells expanded from wild-type mice, but not from Il17-/- mice. Mechanistically, the hypoxic microenvironment prevailing in the MM bone marrow niche stimulated the expression of steroid receptor coactivator 3 (SRC-3) in γδ T cells, which in turn interacted with the transcriptional factor RORγt, promoting Il17 transcription. Pharmacologic inhibition of SRC-3 utilizing SI-2 effectively suppressed Il17A expression in γδ T cells, leading to alleviation of MM progression in the murine models and enhancing the anti-multiple myeloma efficacy of bortezomib. Our results illuminated the bone marrow microenvironment's involvement in provoking γδ T-cell dysfunction throughout MM progression and suggest SRC-3 inhibition as a promising strategy to enhance the effectiveness of immunotherapies targeting γδ T cells.
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Affiliation(s)
- Jingya Wang
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Ziyi Peng
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Jing Guo
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Yixuan Wang
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Sheng Wang
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Hongmei Jiang
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Mengqi Wang
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Ying Xie
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Xin Li
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Meilin Hu
- Tianjin Medical University School of Stomatology, Heping, Tianjin, China
| | - Yangyang Xie
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Hao Cheng
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Tiantian Li
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Linchuang Jia
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
| | - Jia Song
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yafei Wang
- Department of Hematology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Jian Hou
- Department of Hematology, Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhiqiang Liu
- State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Cellular Homeostasis and Human Diseases, Department of Physiology and Pathophysiology, School of Basic Medical Science, Tianjin Medical University, Heping, Tianjin, China
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Mehdi SJ, Ghatak K, Ling W, Johnson SK, Epstein J, Nookaew I, Zangari M, Schinke C, Thanendrarajan S, van Rhee F, Yaccoby S. Growth and dormancy control of myeloma cells by mesenchymal stem cells. Leuk Res 2023; 133:107355. [PMID: 37499483 DOI: 10.1016/j.leukres.2023.107355] [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: 06/08/2023] [Revised: 07/07/2023] [Accepted: 07/11/2023] [Indexed: 07/29/2023]
Abstract
Bone marrow mesenchymal stem cells (MSCs) may have contrasting impacts on the progression of multiple myeloma (MM). Priming normal MSCs, by culturing them with MM cells, mimics the MSC-induced MM growth. We studied the contrasting effects of conditioned medium (CM) from unprimed or primed MSCs on growth of MM cells from newly diagnosed cases. We elucidated potential molecular pathways using global gene expression profiling and focused on the role of the mTOR2 component, RICTOR, as a novel mediator of dormancy in MM. Primed MSCs CM consistently increased proportions of proliferating cells and supported MM growth in 3-day (n = 20) and 10-day (n = 12) cultures, effects that were partially mediated through the IGF1 axis. In contrast, unprimed MSCs CM inhibited growth of MM cells in cases mainly from stages I/II MM. The genes most overexpressed in MM cells treated with primed MSCs CM were associated with cell cycle, DNA-damage repair, and proliferation; genes most overexpressed in MM cells treated with unprimed MSCs CM were associated with dormancy pathways including RICTOR (mTOR2 pathway), CXCR4, and BCL2. RICTOR protein level was induced by unprimed MSCs CM and was lower in KI67+ proliferating MM cells treated with primed MSCs CM. RICTOR was underexpressed in clinical relapse samples compared with baseline samples of the same patients. Inhibiting RICTOR expression in primary MM cells promoted their growth, and enforced expression of RICTOR in MM cell lines inhibited their growth. Our findings suggest that, after prolonged interactions with MM cells, bone marrow MSCs shift from MM-repressive to MM-permissive. AVAILABILITY OF DATA AND MATERIALS: Our institutional GEP data of MM cells from newly diagnosed patients used to show RICTOR expression have been deposited at Gene Expression Omnibus (GEO: GSE2658, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE2658).
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Affiliation(s)
- Syed J Mehdi
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Kalyan Ghatak
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Wen Ling
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Sarah K Johnson
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Joshua Epstein
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Intawat Nookaew
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Maurizio Zangari
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Carolina Schinke
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Sharmilan Thanendrarajan
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Frits van Rhee
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Shmuel Yaccoby
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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Du J, Gu XR, Yu XX, Cao YJ, Hou J. Essential procedures of single-cell RNA sequencing in multiple myeloma and its translational value. BLOOD SCIENCE 2023; 5:221-236. [PMID: 37941914 PMCID: PMC10629747 DOI: 10.1097/bs9.0000000000000172] [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: 05/17/2023] [Accepted: 09/18/2023] [Indexed: 11/10/2023] Open
Abstract
Multiple myeloma (MM) is a malignant neoplasm characterized by clonal proliferation of abnormal plasma cells. In many countries, it ranks as the second most prevalent malignant neoplasm of the hematopoietic system. Although treatment methods for MM have been continuously improved and the survival of patients has been dramatically prolonged, MM remains an incurable disease with a high probability of recurrence. As such, there are still many challenges to be addressed. One promising approach is single-cell RNA sequencing (scRNA-seq), which can elucidate the transcriptome heterogeneity of individual cells and reveal previously unknown cell types or states in complex tissues. In this review, we outlined the experimental workflow of scRNA-seq in MM, listed some commonly used scRNA-seq platforms and analytical tools. In addition, with the advent of scRNA-seq, many studies have made new progress in the key molecular mechanisms during MM clonal evolution, cell interactions and molecular regulation in the microenvironment, and drug resistance mechanisms in target therapy. We summarized the main findings and sequencing platforms for applying scRNA-seq to MM research and proposed broad directions for targeted therapies based on these findings.
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Affiliation(s)
- Jun Du
- Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Xiao-Ran Gu
- School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China
| | - Xiao-Xiao Yu
- School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China
| | - Yang-Jia Cao
- Department of Hematology, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shanxi 710000, China
| | - Jian Hou
- Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
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42
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Bräunig S, Karmhag I, Li H, Enoksson J, Hultquist A, Scheding S. Three-dimensional spatial mapping of the human hematopoietic microenvironment in healthy and diseased bone marrow. Cytometry A 2023; 103:763-776. [PMID: 37421296 DOI: 10.1002/cyto.a.24775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 06/23/2023] [Accepted: 07/01/2023] [Indexed: 07/10/2023]
Abstract
The bone marrow hematopoietic microenvironment (HME) plays a pivotal role in regulating normal and diseased hematopoiesis. However, the spatial organization of the human HME has not been thoroughly investigated yet. Therefore, we developed a three-dimensional (3D) immunofluorescence model to analyze changes in the cellular architecture in control and diseased bone marrows (BMs). BM biopsies from patients with myeloproliferative neoplasms (MPNs) were stained sequentially for CD31, CD34, CD45, and CD271 with repetitive bleaching steps to realize five color images with DAPI as a nuclear stain. Hematopoietically normal age-matched BM biopsies served as controls. Twelve subsequent slides per sample were stacked to create three-dimensional bone marrow reconstructions with the imaging program Arivis Visions 4D. Iso-surfaces for niche cells and structures were created and exported as mesh objects for spatial distribution analysis in the 3D creation suite Blender. We recapitulated the bone marrow architecture using this approach and produced comprehensive 3D models of endosteal and perivascular BM niches. MPN bone marrows displayed apparent differences compared to the controls, especially concerning CD271 staining density, megakaryocyte (MK) morphology, and distribution. Furthermore, measurements of the spatial relationships of MKs and hematopoietic stem and progenitor cells with vessels and bone structures in their corresponding niche environments revealed the most pronounced differences in the vascular nice in polycythemia vera. Taken together, using a repetitive staining and bleaching approach allowed us to establish a 5-color analysis of human BM biopsies, which is difficult to achieve with conventional staining approaches. Based on this, we generated 3D BM models which recapitulated key pathological features and, importantly, allowed us to define the spatial relationships between different bone marrow cell types. We, therefore, believe that our method can provide new and valuable insights into bone marrow cellular interaction research.
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Affiliation(s)
- Sandro Bräunig
- Division of Molecular Hematology and Stem Cell Center, Lund University, Lund, Sweden
| | - Isak Karmhag
- Division of Molecular Hematology and Stem Cell Center, Lund University, Lund, Sweden
| | - Hongzhe Li
- Division of Molecular Hematology and Stem Cell Center, Lund University, Lund, Sweden
| | - Jens Enoksson
- Department of Pathology, Skane University Hospital, Lund University, Lund, Sweden
| | - Anne Hultquist
- Department of Pathology, Skane University Hospital, Lund University, Lund, Sweden
| | - Stefan Scheding
- Division of Molecular Hematology and Stem Cell Center, Lund University, Lund, Sweden
- Department of Hematology, Skane University Hospital, Lund, Sweden
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Ling W, Johnson SK, Mehdi SJ, Alapat DV, Bauer M, Zangari M, Schinke C, Thanendrarajan S, van Rhee F, Yaccoby S. EDNRA-Expressing Mesenchymal Cells Are Expanded in Myeloma Interstitial Bone Marrow and Associated with Disease Progression. Cancers (Basel) 2023; 15:4519. [PMID: 37760488 PMCID: PMC10526862 DOI: 10.3390/cancers15184519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/30/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
Multiple myeloma (MM) induces dysfunctional bone marrow (BM) mesenchymal cells and neoangiogenesis. Pericytes and smooth muscle cells (SMCs) could detach from vessels and become cancer-associated fibroblasts. We found that the pericyte and SMC marker endothelin receptor type A (EDNRA) is overexpressed in whole MM bone biopsies; we sought to characterize its expression. EDNRA expression gradually increased with disease progression. High-risk MM patients had higher EDNRA expression than low-risk MM patients and EDNRA expression was highest in focal lesions. High EDNRA expression was associated with high expression of pericyte markers (e.g., RGS5, POSTN, and CD146) and the angiogenic marker FLT1. A single-cell analysis of unexpanded BM mesenchymal cells detected EDNRA expression in a subset of cells that coexpressed mesenchymal cell markers and had higher expression of proliferation genes. Immunohistochemistry revealed that the number of EDNRA+ cells in the interstitial BM increased as MM progressed; EDNRA+ cells were prevalent in areas near the MM focal growth. EDNRA+ cells were detached from CD34+ angiogenic cells and coexpressed RGS5 and periostin. Therefore, they likely originated from pericytes or SMCs. These findings identify a novel microenvironmental biomarker in MM and suggest that the presence of detached EDNRA+ cells indicates disrupted vasculature and increased angiogenesis.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Shmuel Yaccoby
- Myeloma Center, Department of Internal Medicine, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock 72205, AR, USA; (W.L.); (S.K.J.); (S.J.M.); (D.V.A.); (M.B.); (M.Z.); (C.S.); (S.T.); (F.v.R.)
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44
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Chen L, Pronk E, van Dijk C, Bian Y, Feyen J, van Tienhoven T, Yildirim M, Pisterzi P, de Jong MM, Bastidas A, Hoogenboezem RM, Wevers C, Bindels EM, Löwenberg B, Cupedo T, Sanders MA, Raaijmakers MH. A Single-Cell Taxonomy Predicts Inflammatory Niche Remodeling to Drive Tissue Failure and Outcome in Human AML. Blood Cancer Discov 2023; 4:394-417. [PMID: 37470778 PMCID: PMC10472197 DOI: 10.1158/2643-3230.bcd-23-0043] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/09/2023] [Accepted: 07/14/2023] [Indexed: 07/21/2023] Open
Abstract
Cancer initiation is orchestrated by an interplay between tumor-initiating cells and their stromal/immune environment. Here, by adapted single-cell RNA sequencing, we decipher the predicted signaling between tissue-resident hematopoietic stem/progenitor cells (HSPC) and their neoplastic counterparts with their native niches in the human bone marrow. LEPR+ stromal cells are identified as central regulators of hematopoiesis through predicted interactions with all cells in the marrow. Inflammatory niche remodeling and the resulting deprivation of critical HSPC regulatory factors are predicted to repress high-output hematopoietic stem cell subsets in NPM1-mutated acute myeloid leukemia (AML), with relative resistance of clonal cells. Stromal gene signatures reflective of niche remodeling are associated with reduced relapse rates and favorable outcomes after chemotherapy across all genetic risk categories. Elucidation of the intercellular signaling defining human AML, thus, predicts that inflammatory remodeling of stem cell niches drives tissue repression and clonal selection but may pose a vulnerability for relapse-initiating cells in the context of chemotherapeutic treatment. SIGNIFICANCE Tumor-promoting inflammation is considered an enabling characteristic of tumorigenesis, but mechanisms remain incompletely understood. By deciphering the predicted signaling between tissue-resident stem cells and their neoplastic counterparts with their environment, we identify inflammatory remodeling of stromal niches as a determinant of normal tissue repression and clinical outcomes in human AML. See related commentary by Lisi-Vega and Méndez-Ferrer, p. 349. This article is featured in Selected Articles from This Issue, p. 337.
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Affiliation(s)
- Lanpeng Chen
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Eline Pronk
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Claire van Dijk
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Yujie Bian
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Jacqueline Feyen
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Tim van Tienhoven
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Meltem Yildirim
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Paola Pisterzi
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Madelon M.E. de Jong
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Alejandro Bastidas
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | | | - Chiel Wevers
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Eric M. Bindels
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Bob Löwenberg
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Tom Cupedo
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Mathijs A. Sanders
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
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Zhu G, Jin L, Shen W, Zhao M, Liu N. Intratumor microbiota: Occult participants in the microenvironment of multiple myeloma. Biochim Biophys Acta Rev Cancer 2023; 1878:188959. [PMID: 37488050 DOI: 10.1016/j.bbcan.2023.188959] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/07/2023] [Accepted: 07/20/2023] [Indexed: 07/26/2023]
Abstract
More recently, microbiota was detected in several tumorous tissues including multiple myeloma (MM), but the roles of which is still under-studied as paucity of research on tumor biology. Moreover, we also detected the presence of microbiota in the bone marrow of patients with MM by 2bRAD-M sequencing technology, which is an incurable hematological malignancy characterized by accumulation of abnormal plasma cells in the bone marrow. However, the roles of intratumor microbiota in tumor disease remains poorly understood. In this review, we critically reviewed recent literature about microbiota in the tumorigenesis and progression of MM. Importantly, we proposed that the emergence of microbiota in the microenvironment of multiple myeloma may be attributed to microbial dysbiosis and impaired intestinal barrier, due to the increased prevalence of MM in patients with obesity and diabetes, of which the characteristic phenotype is gut microbial dysbiosis and impaired intestinal barrier. When the intestinal barrier is damaged, dysbiotic microbiota and their metabolites, as well as dysregulated immune cells, may participate in the reshaping of the local immune microenvironment, and play pivotal roles in the tumorigenesis and development of multiple myeloma, probably by migrating to the bone marrow microenvironment from intestine. We also discuss the emerging microbiological manipulation strategies to improve long-term outcomes of MM, as well as the prospective of the state-of-the-art techniques to advance our knowledge about the biological implication in the microbiome in MM.
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Affiliation(s)
- Gengjun Zhu
- Central Laboratory, The Second Hospital of Jilin University, Changchun, China
| | - Lifang Jin
- Department of Oncology and Hematology, The Second Hospital of Jilin University, Changchun, China
| | - Weizhang Shen
- Department of Oncology and Hematology, The Second Hospital of Jilin University, Changchun, China
| | - Meng Zhao
- Department of Oncology and Hematology, The Second Hospital of Jilin University, Changchun, China
| | - Ning Liu
- Central Laboratory, The Second Hospital of Jilin University, Changchun, China; Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, China.
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Xie C, Zhong L, Luo J, Luo J, Wu Y, Zheng S, Jiang L, Zhang J, Shi Y. Identification of mutation gene prognostic biomarker in multiple myeloma through gene panel exome sequencing and transcriptome analysis in Chinese population. Comput Biol Med 2023; 163:107224. [PMID: 37406588 DOI: 10.1016/j.compbiomed.2023.107224] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/06/2023] [Accepted: 06/30/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND The 5-year survival rate of multiple myeloma (MM) in China is less than 40%, with considerable individual heterogeneity. Gene mutations are important predictive biomarkers that influence MM treatment decision. The aim of our study was to uncover the clinical significance of mutated genes in MM in the Chinese population. METHODS Targeted exon panel sequencing was performed of 400 genes to detect the gene mutation status in plasma cells from 50 patients with MM. DAVID was used to explore the functions and pathways of mutated genes. Detection of mutant gene expression, prognosis and immune cell infiltration with GSE6477. GEO2R was utilized to identify differentially expressed genes (DEGs). Kaplan-Meier and CIBERSORT were applied to compare survival distributions and evaluate the gene expression associated with immune cell infiltration, respectively. RESULTS Mutations of 337 genes were identified in MM. The mutation types included SNP, INS, and DEL, but the dominant mutation type was SNP. Function and pathway analysis of mutant genes were performed to elucidate DNA modifications. We identified a total number of 660 downregulated and 587 upregulated genes from the GSE6477 dataset. Thirty-three common genes were present in both the mutant genes and DEGs. The functions and pathways of the mutated genes were enriched in myeloid cell differentiation, regulation of hemopoiesis, etc. Moreover, we found that the low expression of BCL6, BIRC3, HLA-DQA1, and VCAN was correlated with poor prognosis in MM. CONCLUSIONS The mutations and low expression of BCL6, BIRC3, HLA-DQA1, and VCAN were correlated with poor prognosis and immune cell infiltration in MM. This study is the first to reveal the spectrum of mutations in the Chinese population by the use of an NGS panel.
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Affiliation(s)
- Chunbao Xie
- Department of Laboratory Medicine and Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Ling Zhong
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Center for Medical Genetics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Jiangrong Luo
- Department of Anesthesiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Ji Luo
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Yingmiao Wu
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Shuai Zheng
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Lingxi Jiang
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Center for Medical Genetics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Health Management Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
| | - Jianbo Zhang
- Department of Laboratory Medicine and Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
| | - Yi Shi
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Center for Medical Genetics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Health Management Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
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47
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John L, Poos AM, Brobeil A, Schinke C, Huhn S, Prokoph N, Lutz R, Wagner B, Zangari M, Tirier SM, Mallm JP, Schumacher S, Vonficht D, Solé-Boldo L, Quick S, Steiger S, Przybilla MJ, Bauer K, Baumann A, Hemmer S, Rehnitz C, Lückerath C, Sachpekidis C, Mechtersheimer G, Haberkorn U, Dimitrakopoulou-Strauss A, Reichert P, Barlogie B, Müller-Tidow C, Goldschmidt H, Hillengass J, Rasche L, Haas SF, van Rhee F, Rippe K, Raab MS, Sauer S, Weinhold N. Resolving the spatial architecture of myeloma and its microenvironment at the single-cell level. Nat Commun 2023; 14:5011. [PMID: 37591845 PMCID: PMC10435504 DOI: 10.1038/s41467-023-40584-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 08/02/2023] [Indexed: 08/19/2023] Open
Abstract
In multiple myeloma spatial differences in the subclonal architecture, molecular signatures and composition of the microenvironment remain poorly characterized. To address this shortcoming, we perform multi-region sequencing on paired random bone marrow and focal lesion samples from 17 newly diagnosed patients. Using single-cell RNA- and ATAC-seq we find a median of 6 tumor subclones per patient and unique subclones in focal lesions. Genetically identical subclones display different levels of spatial transcriptional plasticity, including nearly identical profiles and pronounced heterogeneity at different sites, which can include differential expression of immunotherapy targets, such as CD20 and CD38. Macrophages are significantly depleted in the microenvironment of focal lesions. We observe proportional changes in the T-cell repertoire but no site-specific expansion of T-cell clones in intramedullary lesions. In conclusion, our results demonstrate the relevance of considering spatial heterogeneity in multiple myeloma with potential implications for models of cell-cell interactions and disease progression.
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Affiliation(s)
- Lukas John
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alexandra M Poos
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alexander Brobeil
- Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Stefanie Huhn
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Nina Prokoph
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Raphael Lutz
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
- Division of Stem Cells and Cancer, German Cancer Research Center (DKFZ) and DKFZ-ZMBH Alliance, Heidelberg, Germany
| | - Barbara Wagner
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Maurizio Zangari
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Stephan M Tirier
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Jan-Philipp Mallm
- Single Cell Open Lab, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Sabrina Schumacher
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Dominik Vonficht
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
- Division of Stem Cells and Cancer, German Cancer Research Center (DKFZ) and DKFZ-ZMBH Alliance, Heidelberg, Germany
| | - Llorenç Solé-Boldo
- Institute of Health (BIH) at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Department of Hematology, Oncology and Tumor Immunology, Charité University Medicine, Berlin, Germany
| | - Sabine Quick
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Simon Steiger
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Moritz J Przybilla
- Division Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Katharina Bauer
- Single Cell Open Lab, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Anja Baumann
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefan Hemmer
- Department of Orthopedic Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Christoph Rehnitz
- Department of Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Christian Lückerath
- Department of Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Christos Sachpekidis
- Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Uwe Haberkorn
- Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Antonia Dimitrakopoulou-Strauss
- Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Philipp Reichert
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Bart Barlogie
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Carsten Müller-Tidow
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Jens Hillengass
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Leo Rasche
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
- Mildred Scheel Early Career Center (MSNZ), University Hospital of Würzburg, Würzburg, Germany
| | - Simon F Haas
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
- Institute of Health (BIH) at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Department of Hematology, Oncology and Tumor Immunology, Charité University Medicine, Berlin, Germany
| | - Frits van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Karsten Rippe
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Marc S Raab
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sandra Sauer
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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48
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Solimando AG, Krebs M, Desantis V, Marziliano D, Caradonna IC, Morizio A, Argentiero A, Shahini E, Bittrich M. Breaking through Multiple Myeloma: A Paradigm for a Comprehensive Tumor Ecosystem Targeting. Biomedicines 2023; 11:2087. [PMID: 37509726 PMCID: PMC10377041 DOI: 10.3390/biomedicines11072087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/29/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
Multiple myeloma (MM) is a cancerous condition characterized by the proliferation of plasma cells within the hematopoietic marrow, resulting in multiple osteolytic lesions. MM patients typically experience bone pain, kidney damage, fatigue due to anemia, and infections. Historically, MM was an incurable disease with a life expectancy of around three years after diagnosis. However, over the past two decades, the development of novel therapeutics has significantly improved patient outcomes, including response to treatment, remission duration, quality of life, and overall survival. These advancements include thalidomide and its derivatives, lenalidomide and pomalidomide, which exhibit diverse mechanisms of action against the plasma cell clone. Additionally, proteasome inhibitors such as bortezomib, ixazomib, and carfilzomib disrupt protein degradation, proving specifically toxic to cancerous plasma cells. Recent advancements also involve monoclonal antibodies targeting surface antigens, such as elotuzumab (anti-CS1) and daratumumab (anti-CD38), bispecific t-cell engagers such as teclistamab (anti-BCMA/CD3) and Chimeric antigen receptor T (CAR-T)-based strategies, with a growing focus on drugs that exhibit increasingly targeted action against neoplastic plasma cells and relevant effects on the tumor microenvironment.
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Affiliation(s)
- Antonio G Solimando
- Unit of Internal Medicine and Clinical Oncology "G. Baccelli", Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro Medical School, 70124 Bari, Italy
| | - Markus Krebs
- Comprehensive Cancer Center Mainfranken, University Hospital Würzburg, 97080 Würzburg, Germany
- Department of Urology and Pediatric Urology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Vanessa Desantis
- Department of Precision and Regenerative Medicine and Ionian Area, Pharmacology Section, University of Bari Aldo Moro Medical School, 70124 Bari, Italy
| | - Donatello Marziliano
- Unit of Internal Medicine and Clinical Oncology "G. Baccelli", Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro Medical School, 70124 Bari, Italy
| | - Ingrid Catalina Caradonna
- Department of Precision and Regenerative Medicine and Ionian Area, Pharmacology Section, University of Bari Aldo Moro Medical School, 70124 Bari, Italy
| | - Arcangelo Morizio
- Orthopedics and Traumatology Unit ASL BA-Ospedale della Murgia "Fabio Perinei", 70022 Altamura, Italy
| | | | - Endrit Shahini
- Gastroenterology Unit, National Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy
| | - Max Bittrich
- Department of Internal Medicine II, University Hospital Würzburg, 97080 Würzburg, Germany
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49
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Lejeune M, Köse MC, Jassin M, Gou MJ, Herbet A, Duray E, Cobraiville G, Foguenne J, Boquet D, Gothot A, Beguin Y, Fillet M, Caers J. Integrative Analysis of Proteomics and Transcriptomics Reveals Endothelin Receptor B as Novel Single Target and Identifies New Combinatorial Targets for Multiple Myeloma. Hemasphere 2023; 7:e901. [PMID: 37359190 PMCID: PMC10289631 DOI: 10.1097/hs9.0000000000000901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 04/25/2023] [Indexed: 06/28/2023] Open
Abstract
Despite the recent introduction of next-generation immunotherapeutic agents, multiple myeloma (MM) remains incurable. New strategies targeting MM-specific antigens may result in a more effective therapy by preventing antigen escape, clonal evolution, and tumor resistance. In this work, we adapted an algorithm that integrates proteomic and transcriptomic results of myeloma cells to identify new antigens and possible antigen combinations. We performed cell surface proteomics on 6 myeloma cell lines based and combined these results with gene expression studies. Our algorithm identified 209 overexpressed surface proteins from which 23 proteins could be selected for combinatorial pairing. Flow cytometry analysis of 20 primary samples confirmed the expression of FCRL5, BCMA, and ICAM2 in all samples and IL6R, endothelin receptor B (ETB), and SLCO5A1 in >60% of myeloma cases. Analyzing possible combinations, we found 6 combinatorial pairs that can target myeloma cells and avoid toxicity on other organs. In addition, our studies identified ETB as a tumor-associated antigen that is overexpressed on myeloma cells. This antigen can be targeted with a new monoclonal antibody RB49 that recognizes an epitope located in a region that becomes highly accessible after activation of ETB by its ligand. In conclusion, our algorithm identified several candidate antigens that can be used for either single-antigen targeting approaches or for combinatorial targeting in new immunotherapeutic approaches in MM.
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Affiliation(s)
- Margaux Lejeune
- Laboratory of Hematology, GIGA I3, University of Liège, Belgium
| | - Murat Cem Köse
- Laboratory of Hematology, GIGA I3, University of Liège, Belgium
| | - Mégane Jassin
- Laboratory of Hematology, GIGA I3, University of Liège, Belgium
| | - Marie-Jia Gou
- Laboratory for the Analysis of Medicines, Center for Interdisciplinary Research on Medicines (CIRM), University of Liège, Belgium
| | - Amaury Herbet
- Université Paris-Saclay, CEA, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Gif-sur-Yvette, France
| | - Elodie Duray
- Laboratory of Hematology, GIGA I3, University of Liège, Belgium
| | - Gaël Cobraiville
- Laboratory for the Analysis of Medicines, Center for Interdisciplinary Research on Medicines (CIRM), University of Liège, Belgium
| | - Jacques Foguenne
- Department of Hematobiology and Immunohematology, CHU de Liège, Belgium
| | - Didier Boquet
- Université Paris-Saclay, CEA, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Gif-sur-Yvette, France
| | - André Gothot
- Department of Hematobiology and Immunohematology, CHU de Liège, Belgium
| | - Yves Beguin
- Laboratory of Hematology, GIGA I3, University of Liège, Belgium
- Department of Hematology, CHU de Liège, Belgium
| | - Marianne Fillet
- Laboratory for the Analysis of Medicines, Center for Interdisciplinary Research on Medicines (CIRM), University of Liège, Belgium
| | - Jo Caers
- Laboratory of Hematology, GIGA I3, University of Liège, Belgium
- Department of Hematology, CHU de Liège, Belgium
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50
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Tóth T, Alizadeh H, Polgár B, Csalódi R, Reglődi D, Tamás A. Diagnostic and Prognostic Value of PACAP in Multiple Myeloma. Int J Mol Sci 2023; 24:10801. [PMID: 37445974 DOI: 10.3390/ijms241310801] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/21/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Pituitary adenylate cyclase-activating polypeptide (PACAP) is a multifunctional neuropeptide with well-known anti-inflammatory, antioxidant, antitumor, and immunomodulatory effects. PACAP regulates the production of various proinflammatory factors and may influence the complex cytokine network of the bone marrow microenvironment altered by plasma cells, affecting the progression of multiple myeloma (MM) and the development of end-organ damage. The aim of our study was to investigate the changes in PACAP-38 levels in patients with MM to explore its value as a potential biomarker in this disease. We compared the plasma PACAP-38 levels of MM patients with healthy individuals by ELISA method and examined its relationship with various MM-related clinical and laboratory parameters. Lower PACAP-38 levels were measured in MM patients compared with the healthy controls, however, this difference vanished if the patient achieved any response better than partial response. In addition, lower peptide levels were found in elderly patients. Significantly higher PACAP-38 levels were seen in patients with lower stage, lower plasma cell infiltration in bone marrow, lower markers of tumor burden in serum, lower total urinary and Bence-Jones protein levels, and in patients after lenalidomide therapy. Higher PACAP-38 levels in newly diagnosed MM patients predicted longer survival and a higher probability of complete response to treatment. Our findings confirm the hypothesis that PACAP plays an important role in the pathomechanism of MM. Furthermore, our results suggest that PACAP might be used as a valuable, non-invasive, complementary biomarker in diagnosis, and may be utilized for prognosis prediction and response monitoring.
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Affiliation(s)
- Tünde Tóth
- Department of Anatomy, ELKH-PTE PACAP Research Team, Centre for Neuroscience, Medical School, University of Pécs, 7624 Pécs, Hungary
| | - Hussain Alizadeh
- 1st Department of Medicine, Division of Hematology, Medical School, University of Pécs, 7624 Pécs, Hungary
| | - Beáta Polgár
- Department of Medical Microbiology and Immunology, Medical School, University of Pécs, 7624 Pécs, Hungary
| | - Renáta Csalódi
- Department of Hematology, Balassa János Hospital of Tolna County, 7100 Szekszárd, Hungary
| | - Dóra Reglődi
- Department of Anatomy, ELKH-PTE PACAP Research Team, Centre for Neuroscience, Medical School, University of Pécs, 7624 Pécs, Hungary
| | - Andrea Tamás
- Department of Anatomy, ELKH-PTE PACAP Research Team, Centre for Neuroscience, Medical School, University of Pécs, 7624 Pécs, Hungary
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