1
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Liu N, Xie Z, Li H, Wang L. The numerous facets of 1q21 + in multiple myeloma: Pathogenesis, clinicopathological features, prognosis and clinical progress (Review). Oncol Lett 2024; 27:258. [PMID: 38646497 PMCID: PMC11027100 DOI: 10.3892/ol.2024.14391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 03/08/2024] [Indexed: 04/23/2024] Open
Abstract
Multiple myeloma (MM) is a malignant neoplasm characterized by the clonal proliferation of abnormal plasma cells (PCs) in the bone marrow and recurrent cytogenetic abnormalities. The incidence of MM worldwide is on the rise. 1q21+ has been found in ~30-40% of newly diagnosed MM (NDMM) patients.1q21+ is associated with the pathophysiological mechanisms of disease progression and drug resistance in MM. In the present review, the pathogenesis and clinicopathological features of MM patients with 1q21+ were studied, the key data of 1q21+ on the prognosis of MM patients were summarized, and the clinical treatment significance of MM patients with 1q21+ was clarified, in order to provide reference for clinicians to develop treatment strategies targeting 1q21+.
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Affiliation(s)
- Na Liu
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China
| | - Zhanzhi Xie
- Sanofi China Investment Co., Ltd. Shanghai Branch, Shanghai 200000, P.R. China
| | - Hao Li
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China
| | - Luqun Wang
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China
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2
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Liang X, Guo X, Jin H, Shen L, Ding L, Guan X, Kou Y, Wu Y, Guo H. Changes in the intestinal microbiota of multiple myeloma patients living in high‑altitude and cold regions analyzed using 16s rRNA high‑throughput sequencing. Exp Ther Med 2024; 27:269. [PMID: 38756900 PMCID: PMC11097272 DOI: 10.3892/etm.2024.12557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 04/05/2024] [Indexed: 05/18/2024] Open
Abstract
Multiple myeloma (MM) is a plasma cell clonal disease and these plasma cells can survive in the gut. The intestinal microbiota is a complex ecosystem and its dysfunction can release persistent stimulus signals that trigger genetic mutations and clonal evolution in the gut. The present study analyzed the intestinal microbiota in fecal samples of MM patients in high-altitude and cold regions of China using 16s rRNA sequencing and analyzed significantly enriched species at the phylum and genus levels. Although no significant difference in the alpha diversity was observed between the MM and control groups, a significant difference was noted in the beta diversity. A total of 15 significant differential bacteria at the genus level were found between the two groups, among which Bacteroides, Streptococcus, Lactobacillus and Alistipes were significantly enriched in the MM group. The present study also constructed a disease diagnosis model using Random Forest analysis and verified its accuracy using receiver operating characteristic analysis. In addition, using correlation analysis, it demonstrated that the composition of the intestinal microbiota in patients with MM was associated with complement levels. Notably, the present study predicted that the signaling and metabolic pathways of the intestinal microbiota affected MM progression through Kyoto Encyclopedia of Genes and Genomes functional analysis. The present study provides a new approach for the prevention and treatment of MM, in which the intestinal microbiota may become a novel therapeutic target for MM.
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Affiliation(s)
- Xiaofei Liang
- Department of Laboratory Medicine, The First Hospital of Qiqihar, Qiqihar, Heilongjiang 161000, P.R. China
| | - Xuyang Guo
- Department of Laboratory Medicine, The First Hospital of Qiqihar, Qiqihar, Heilongjiang 161000, P.R. China
| | - Huixin Jin
- Department of Laboratory Medicine, The First Hospital of Qiqihar, Qiqihar, Heilongjiang 161000, P.R. China
| | - Lijuan Shen
- Department of Laboratory Medicine, Qiqihar MingZhu Hospital, Qiqihar, Heilongjiang 161000, P.R. China
| | - Ling Ding
- Department of Laboratory Medicine, The First Hospital of Qiqihar, Qiqihar, Heilongjiang 161000, P.R. China
| | - Xin Guan
- Department of Laboratory Medicine, The First Hospital of Qiqihar, Qiqihar, Heilongjiang 161000, P.R. China
| | - Yujie Kou
- Department of Laboratory Medicine, The First Hospital of Qiqihar, Qiqihar, Heilongjiang 161000, P.R. China
| | - Yi Wu
- Department of Laboratory Medicine, The First Hospital of Qiqihar, Qiqihar, Heilongjiang 161000, P.R. China
| | - Haipeng Guo
- Department of Laboratory Medicine, The First Hospital of Qiqihar, Qiqihar, Heilongjiang 161000, P.R. China
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Barbieri E, Martino EA, Rivolti E, Quaresima M, Vigna E, Neri A, Morabito F, Gentile M. Anti-CD38 monoclonal antibodies in multiple myeloma with gain/amplification of chromosome arm 1q: a review of the literature. Expert Opin Biol Ther 2024; 24:365-381. [PMID: 38757726 DOI: 10.1080/14712598.2024.2357382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 05/15/2024] [Indexed: 05/18/2024]
Abstract
INTRODUCTION Gain/amplification of 1q (+1q) represents one of the most prevalent cytogenetic abnormalities (CAs) observed in multiple myeloma (MM). Historical studies predating the advent of anti-CD38 monoclonal antibodies (moAbs) implicated + 1q in poor prognoses, prompting its integration into novel staging systems. However, with the emergence of daratumumab and isatuximab, two pivotal anti-CD38 moAbs, the landscape of MM therapy has undergone a profound transformation. AREAS COVERED This review encompasses a comprehensive analysis of diverse study methodologies, including observational investigations, clinical trials, meta-analyses, and real-world database analyses. By synthesizing these data sources, we aim to provide an overview of the current understanding of + 1q in the context of anti-CD38 moAbs therapies. EXPERT OPINION Despite the paucity of available data, evidence suggests a potential mitigating effect of daratumumab on the adverse prognostic implications of + 1q. However, this benefit seems to diminish in patients harboring ≥ 4 copies or with concurrent high-risk CAs. On the other hand, isatuximab demonstrated promising outcomes in the relapsed-refractory setting for + 1q MM patients. Nevertheless, direct comparison between the two compounds is currently challenging. The current evidence firmly supports the integration of anti-CD38 moAb-based therapies as the standard of care for + 1q patients, pending further elucidation.
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Affiliation(s)
- Emiliano Barbieri
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Elena Rivolti
- Hematology Unit, Azienda Unità Sanitaria Locale-IRCCS, Reggio Emilia, Italy
| | - Micol Quaresima
- Hematology Unit, Azienda Unità Sanitaria Locale-IRCCS, Reggio Emilia, Italy
| | - Ernesto Vigna
- Hematology Unit, Azienda Ospedaliera Annunziata, Cosenza, Italy
| | - Antonino Neri
- Scientific Directorate, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Massimo Gentile
- Hematology Unit, Azienda Ospedaliera Annunziata, Cosenza, Italy
- Department of Pharmacy, Health and Nutritional Science, University of Calabria, Rende, Italy
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4
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Leone P, Malerba E, Prete M, Solimando AG, Croci GA, Ditonno P, Tucci M, Susca N, Derakhshani A, Dufour A, De Re V, Silvestris N, Racanelli V. Immune escape of multiple myeloma cells results from low miR29b and the ensuing epigenetic silencing of proteasome genes. Biomark Res 2024; 12:43. [PMID: 38654298 DOI: 10.1186/s40364-024-00592-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/19/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Activation of CD28 on multiple myeloma (MM) plasma cells, by binding to CD80 and CD86 on dendritic cells, decreases proteasome subunit expression in the tumor cells and thereby helps them evade being killed by CD8+ T cells. Understanding how CD28 activation leads to proteasome subunit downregulation is needed to design new MM therapies. METHODS This study investigates the molecular pathway downstream of CD28 activation, using an in vitro model consisting of myeloma cell lines stimulated with anti-CD28-coated beads. RESULTS We show that CD28 engagement on U266 and RPMI 8226 cells activates the PI3K/AKT pathway, reduces miR29b expression, increases the expression of DNA methyltransferase 3B (DNMT3B, a target of miR29b), and decreases immunoproteasome subunit expression. In vitro transfection of U266 and RPMI 8226 cells with a miR29b mimic downregulates the PI3K/AKT pathway and DNMT3B expression, restores proteasome subunit levels, and promotes myeloma cell killing by bone marrow CD8+ T cells from MM patients. Freshly purified bone marrow plasma cells (CD138+) from MM patients have lower miR29b and higher DNMT3B (mRNA and protein) than do cells from patients with monoclonal gammopathy of undetermined significance. Finally, in MM patients, high DNMT3B levels associate with shorter overall survival. CONCLUSIONS Altogether, this study describes a novel molecular pathway in MM. This pathway starts from CD28 expressed on tumor plasma cells and, through the PI3K-miR29b-DNMT3B axis, leads to epigenetic silencing of immunoproteasome subunits, allowing MM plasma cells to elude immunosurveillance. This discovery has implications for the design of innovative miR29b-based therapies for MM.
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Affiliation(s)
- Patrizia Leone
- Department of Interdisciplinary Medicine, Aldo Moro University of Bari, Bari, Italy
| | - Eleonora Malerba
- Department of Precision and Regenerative Medicine and Ionian Area-(DiMePRe-J), Aldo Moro University of Bari, Bari, Italy
| | - Marcella Prete
- Department of Interdisciplinary Medicine, Aldo Moro University of Bari, Bari, Italy
| | - Antonio Giovanni Solimando
- Department of Precision and Regenerative Medicine and Ionian Area-(DiMePRe-J), Aldo Moro University of Bari, Bari, Italy
| | - Giorgio Alberto Croci
- Division of Pathology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Paolo Ditonno
- Hematology Unit, IRCCS "Giovanni Paolo II", Bari, Italy
| | - Marco Tucci
- Department of Interdisciplinary Medicine, Aldo Moro University of Bari, Bari, Italy
| | - Nicola Susca
- Department of Interdisciplinary Medicine, Aldo Moro University of Bari, Bari, Italy
| | - Afshin Derakhshani
- Department of Microbiology, Immunology, and Infectious Diseases, Calvin, Phoebe and Joan Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
- Department of Microbiology, Immunology, and Infectious Diseases, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Antoine Dufour
- Department of Microbiology, Immunology, and Infectious Diseases, Calvin, Phoebe and Joan Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
- Department of Physiology and Pharmacology, University of Calgary, Calgary, AB, Canada
| | - Valli De Re
- Bio-Proteomics Facility, Department of Translational Research, Centro Di Riferimento Oncologico Di Aviano (CRO) IRCCS, Aviano, PN, Italy
| | - Nicola Silvestris
- Medical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina, Italy
| | - Vito Racanelli
- Centre for Medical Sciences, University of Trento and Internal Medicine Division, Santa Chiara Hospital, Provincial Health Care Agency (APSS), Trento, Italy.
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5
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Murie C, Turkarslan S, Patel A, Coffey DG, Becker PS, Baliga NS. Individualized dynamic risk assessment for multiple myeloma. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.01.24305024. [PMID: 38633807 PMCID: PMC11023676 DOI: 10.1101/2024.04.01.24305024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Background Individualized treatment decisions for patients with multiple myeloma (MM) requires accurate risk stratification that takes into account patient-specific consequences of genetic abnormalities and tumor microenvironment on disease outcome and therapy responsiveness. Methods Previously, SYstems Genetic Network AnaLysis (SYGNAL) of multi-omics tumor profiles from 881 MM patients generated the mmSYGNAL network, which uncovered different causal and mechanistic drivers of genetic programs associated with disease progression across MM subtypes. Here, we have trained a machine learning (ML) algorithm on activities of mmSYGNAL programs within individual patient tumor samples to develop a risk classification scheme for MM that significantly outperformed cytogenetics, International Staging System, and multi-gene biomarker panels in predicting risk of PFS across four independent patient cohorts. Results We demonstrate that, unlike other tests, mmSYGNAL can accurately predict disease progression risk at primary diagnosis, pre- and post-transplant and even after multiple relapses, making it useful for individualized dynamic risk assessment throughout the disease trajectory. Conclusion mmSYGNAL provides improved individualized risk stratification that accounts for a patient's distinct set of genetic abnormalities and can monitor risk longitudinally as each patient's disease characteristics change.
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6
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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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7
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Wang C, Wang W, Wang M, Deng J, Sun C, Hu Y, Luo S. Different evasion strategies in multiple myeloma. Front Immunol 2024; 15:1346211. [PMID: 38464531 PMCID: PMC10920326 DOI: 10.3389/fimmu.2024.1346211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 02/09/2024] [Indexed: 03/12/2024] Open
Abstract
Multiple myeloma is the second most common malignant hematologic malignancy which evolved different strategies for immune escape from the host immune surveillance and drug resistance, including uncontrolled proliferation of malignant plasma cells in the bone marrow, genetic mutations, or deletion of tumor antigens to escape from special targets and so. Therefore, it is a big challenge to efficiently treat multiple myeloma patients. Despite recent applications of immunomodulatory drugs (IMiDS), protease inhibitors (PI), targeted monoclonal antibodies (mAb), and even hematopoietic stem cell transplantation (HSCT), it remains hardly curable. Summarizing the possible evasion strategies can help design specific drugs for multiple myeloma treatment. This review aims to provide an integrative overview of the intrinsic and extrinsic evasion mechanisms as well as recently discovered microbiota utilized by multiple myeloma for immune evasion and drug resistance, hopefully providing a theoretical basis for the rational design of specific immunotherapies or drug combinations to prevent the uncontrolled proliferation of MM, overcome drug resistance and improve patient survival.
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Affiliation(s)
| | | | | | | | | | - Yu Hu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shanshan Luo
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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8
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Thongon N, Ma F, Baran N, Lockyer P, Liu J, Jackson C, Rose A, Furudate K, Wildeman B, Marchesini M, Marchica V, Storti P, Todaro G, Ganan-Gomez I, Adema V, Rodriguez-Sevilla JJ, Qing Y, Ha MJ, Fonseca R, Stein C, Class C, Tan L, Attanasio S, Garcia-Manero G, Giuliani N, Berrios Nolasco D, Santoni A, Cerchione C, Bueso-Ramos C, Konopleva M, Lorenzi P, Takahashi K, Manasanch E, Sammarelli G, Kanagal-Shamanna R, Viale A, Chesi M, Colla S. Targeting DNA2 overcomes metabolic reprogramming in multiple myeloma. Nat Commun 2024; 15:1203. [PMID: 38331987 PMCID: PMC10853245 DOI: 10.1038/s41467-024-45350-8] [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: 07/29/2022] [Accepted: 01/18/2024] [Indexed: 02/10/2024] Open
Abstract
DNA damage resistance is a major barrier to effective DNA-damaging therapy in multiple myeloma (MM). To discover mechanisms through which MM cells overcome DNA damage, we investigate how MM cells become resistant to antisense oligonucleotide (ASO) therapy targeting Interleukin enhancer binding factor 2 (ILF2), a DNA damage regulator that is overexpressed in 70% of MM patients whose disease has progressed after standard therapies have failed. Here, we show that MM cells undergo adaptive metabolic rewiring to restore energy balance and promote survival in response to DNA damage activation. Using a CRISPR/Cas9 screening strategy, we identify the mitochondrial DNA repair protein DNA2, whose loss of function suppresses MM cells' ability to overcome ILF2 ASO-induced DNA damage, as being essential to counteracting oxidative DNA damage. Our study reveals a mechanism of vulnerability of MM cells that have an increased demand for mitochondrial metabolism upon DNA damage activation.
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Affiliation(s)
- Natthakan Thongon
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Feiyang Ma
- Division of Rheumatology, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Natalia Baran
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pamela Lockyer
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jintan Liu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher Jackson
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ashley Rose
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ken Furudate
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bethany Wildeman
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Matteo Marchesini
- IRCCS Instituto Romagnolo per lo Studio dei Tumori (IRST) Dino Amadori, Meldola, Italy
| | | | - Paola Storti
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Giannalisa Todaro
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Irene Ganan-Gomez
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vera Adema
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Yun Qing
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Min Jin Ha
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Caleb Stein
- Department of Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Caleb Class
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Butler University, Indianapolis, IN, USA
| | - Lin Tan
- Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sergio Attanasio
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Nicola Giuliani
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - David Berrios Nolasco
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrea Santoni
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Claudio Cerchione
- IRCCS Instituto Romagnolo per lo Studio dei Tumori (IRST) Dino Amadori, Meldola, Italy
| | - Carlos Bueso-Ramos
- Department of Hemopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Philip Lorenzi
- Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elisabet Manasanch
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Rashmi Kanagal-Shamanna
- Department of Hemopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrea Viale
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marta Chesi
- Department of Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Simona Colla
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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9
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Garcia JB, Storti P, Iannozzi NT, Marchica V, Agnelli L, Toscani D, Franceschi V, Todaro G, Sammarelli G, Notarfranchi L, Scita M, Palma BD, Raimondi V, Lungu O, Pruneri G, Donofrio G, Giuliani N. Identification of PSMB4 and PSMD4 as novel target genes correlated with 1q21 amplification in patients with smoldering myeloma and multiple myeloma. Haematologica 2024; 109:627-631. [PMID: 37608776 PMCID: PMC10828761 DOI: 10.3324/haematol.2023.283200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 08/14/2023] [Indexed: 08/24/2023] Open
Affiliation(s)
| | - Paola Storti
- Department of Medicine and Surgery, University of Parma, Parma
| | | | | | | | - Denise Toscani
- Department of Medicine and Surgery, University of Parma, Parma
| | | | - Giannalisa Todaro
- Hematology and BMT Unit, "Azienda Ospedaliero-Universitaria di Parma", Parma
| | | | | | - Matteo Scita
- Hematology and BMT Unit, "Azienda Ospedaliero-Universitaria di Parma", Parma
| | | | | | - Oxana Lungu
- Department of Medicine and Surgery, University of Parma, Parma
| | | | - Gaetano Donofrio
- Department of Medical-Veterinary Science, University of Parma, Parma
| | - Nicola Giuliani
- Hematology and BMT Unit, "Azienda Ospedaliero-Universitaria di Parma", Parma, Italy; Department of Medicine and Surgery, University of Parma, Parma.
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10
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Zhang H, Hu K, Lu Y, Xu Z, Chen G, Yu D, Gao X, Feng Q, Jia X, Xu L, Zhou J, Wu X, Song D, Zhu H, Li B, Zhu W, Shi J. A novel pterostilbene compound DCZ0825 induces macrophage M1 differentiation and Th1 polarization to exert anti-myeloma and immunomodulatory. Int Immunopharmacol 2024; 127:111446. [PMID: 38157697 DOI: 10.1016/j.intimp.2023.111446] [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: 08/12/2023] [Revised: 12/01/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
Multiple myeloma (MM) is an incurable and recurrent malignancy characterized by abnormal plasma cell proliferation. There is an urgent need to develop effective drugs in MM. DCZ0825 is a small molecule compound derived from pterostilbene with direct anti-myeloma activity and indirect immune-killing effects though reversal of the immunosuppression. DCZ0825 inhibits the activity and proliferation of MM cells causing no significant toxicity to normal cells. Using flow cytometry, this study found that DCZ0825 induced caspase-dependent apoptosis in MM cells and arrested the cell cycle in the G2/M phase by down-regulating CyclinB1, CDK1 and CDC25. Moreover, DCZ0825 up-regulated IRF3 and IRF7 to increase IFN-γ, promoting M2 macrophages to transform into M1 macrophages, releasing the immunosuppression of CD4T cells and stimulated M1 macrophages and Th1 cells to secrete more INF-γ to form immune killing effect on MM cells. Treatment with DCZ0825 resulted in an increased proportion of positive regulatory cells such as CD4T, memory T cells, CD8T, and NK cells, with downregulation of the proportion of negative regulatory cells such as Treg cells and MDSCs. In conclusion, DCZ0825 is a novel compound with both antitumor and immunomodulatory activity.
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Affiliation(s)
- Hui Zhang
- Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Ke Hu
- Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Yumeng Lu
- Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Zhijian Xu
- State Key Laboratory of Drug Research, Drug Discovery and Design Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Gege Chen
- Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Dandan Yu
- Department of Hematology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Xuejie Gao
- Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Qilin Feng
- Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Xinyan Jia
- Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Li Xu
- Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Jinfeng Zhou
- Department of Hematology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Xiaosong Wu
- Department of Hematology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Dongliang Song
- Department of Hematology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Huabin Zhu
- Department of Hematology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Bo Li
- State Key Laboratory of Drug Research, Drug Discovery and Design Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
| | - Weiliang Zhu
- State Key Laboratory of Drug Research, Drug Discovery and Design Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
| | - Jumei Shi
- Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
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11
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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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12
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Khadka S, Balaji S, Kaur J, Solanki D, Kasianchyk M, Chowdhury H, Patel I, Qasim M, Desai M, Maiyani P, Moradiya DV, Lal D, Patel AA, Lekkala M. Disparities in Outcomes of Hospitalizations Due to Multiple Myeloma: A Nationwide Comparison. Cureus 2023; 15:e47319. [PMID: 38022254 PMCID: PMC10656933 DOI: 10.7759/cureus.47319] [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] [Accepted: 10/12/2023] [Indexed: 12/01/2023] Open
Abstract
Background With the advent of novel treatments, there is a declining trend in the multiple myeloma (MM) mortality rate with an increasing hospitalization rate. However, there is limited population-based data on trends and outcomes of hospitalizations due to MM in the United States (US). Methods We analyzed the publicly available Nationwide Inpatient Sample (NIS) from 2007 to 2017 to identify MM hospitalizations. Results Hospitalizations for MM increased from 17,100 (8.71%) in 2007 to 19,490 (9.92%) in 2017. The in-hospital mortality rate declined from 8.4% in 2007 to 4.9% in 2017 (P <0.001) and discharge to facilities decreased from 20.4% in 2007 to 17.4% in 2017 (P <0.001). The odds of in-hospital mortality were higher with increasing age (odds ratio (OR): 1.46; 95% confidence interval (CI): 1.38 -1.54; P <0.0001), pneumonia (OR: 4.18; 95% CI: 3.63 - 4.81, P <0.0001), septicemia (OR: 2.50; 95% CI: 2.22 - 2.82; P <0.0001), renal failure (OR: 1.48; 95% CI: 1.34 -1.64; P <0.0001), uninsured/self-pay insurance status (OR: 2.69; 95% CI: 2.18 - 3.3; P <0.0001), rural hospital (OR: 2.26; 95% CI: 1.88 -2.72; P<0.0001), and urban-non-teaching hospitals (OR: 1.38; 95% CI: 1.23 - 1.56; P <0.0001). Also, increasing age (OR: 1.14; 95% CI: 1.11-1.18, P <0.0001), Black race (OR: 1.12; 95% CI: 1.02-1.23, P <0.0001), and multiple comorbidities were associated with higher disability. Conclusion Hospitalizations for MM continued to increase, whereas in-hospital mortality continued to decrease. Advanced age, sepsis, pneumonia, and renal failure were associated with higher odds of mortality in MM patients.
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Affiliation(s)
- Sushmita Khadka
- Internal Medicine, Guthrie Robert Packer Hospital, Sayre, USA
| | - Swetha Balaji
- Medicine, Scripps Clinic John R. Anderson V Medical Pavilion, San Diego, USA
| | - Japjeet Kaur
- Medicine, Sub-divisional Civil Hospital, Ajnala, IND
| | | | | | | | - Ishani Patel
- Medicine, Houston Medical Center, Warner Robins, USA
| | - Muhammad Qasim
- Internal Medicine, Hospital Corporation of America (HCA) Healthcare/University of South Florida (USF) Morsani College of Medicine Graduate Medical Education (GME) Oak Hill Hospital, Brooksville, USA
| | - Maheshkumar Desai
- Internal Medicine, Hamilton Medical Center, Medical College of Georgia/Augusta University, Dalton, USA
| | - Prakash Maiyani
- Internal Medicine, Gold Coast University Hospital, Southport, AUS
| | | | - Darshan Lal
- Hospital Medicine, Geisinger Commonwealth School of Medicine, Scranton, USA
| | - Achint A Patel
- Internal Medicine, Hospital Corporation of America (HCA) Healthcare/University of South Florida (USF) Morsani College of Medicine Graduate Medical Education (GME) Oak Hill Hospital, Brooksville, USA
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13
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Sheu M, Molina Garcia S, Patel M, Granat L, Williams L, Khouri J, Mossad S, Anwer F, Majeed A. Intravenous immunoglobulin prophylaxis is associated with decreased rate of infection-related hospitalizations in multiple myeloma patients. Hematol Oncol 2023; 41:718-724. [PMID: 37231908 DOI: 10.1002/hon.3185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 04/23/2023] [Accepted: 05/15/2023] [Indexed: 05/27/2023]
Abstract
This study explored the efficacy of intravenous immunoglobulin (IVIG) prophylaxis in reducing infection-related hospitalizations (IRHs) in MM patients. This was a retrospective study of MM patients who received IVIG at Taussig Cancer Center between July 2009 and July 2021. The primary endpoint was rate of IRHs per patient-year on-IVIG versus off-IVIG. 108 patients were included. There was a significant difference in the primary endpoint of rate of IRHs per patient-year on-IVIG versus off-IVIG in the overall study population (0.81 vs. 1.08; Mean Difference [MD], -0.27; 95% Confidence Interval [CI], -0.57 to 0.03; p value [P] = 0.04). The subgroup of patients with a 1-year period of continuous IVIG (49, 45.3%), the subgroup with standard-risk cytogenetics (54, 50.0%) and the subgroup with 2 or more IRHs (67, 62.0%) all showed a significant reduction in IRHs while on-IVIG versus off-IVIG (0.48 vs. 0.78; MD, -0.30; 95% CI, -0.59 to 0.002; p = 0.03) and (0.65 vs. 1.01; MD, -0.36; 95% CI, -0.71 to -0.01; p = 0.02) and (1.04 vs. 1.43; MD, -0.39; 95% CI, -0.82 to 0.05; p = 0.04) respectively. IVIG showed significant benefit in reducing IRHs in the overall population and in multiple subgroups.
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Affiliation(s)
- Michael Sheu
- Cleveland Clinic, Internal Medicine, Cleveland, Ohio, USA
| | | | - Meera Patel
- Cleveland Clinic, Internal Medicine, Cleveland, Ohio, USA
| | - Lauren Granat
- Cleveland Clinic, Internal Medicine, Cleveland, Ohio, USA
| | - Louis Williams
- Cleveland Clinic, Hematology and Medical Oncology, Cleveland, Ohio, USA
| | - Jack Khouri
- Cleveland Clinic, Hematology and Medical Oncology, Cleveland, Ohio, USA
| | - Sherif Mossad
- Cleveland Clinic, Infectious Disease, Cleveland, Ohio, USA
| | - Faiz Anwer
- Cleveland Clinic, Hematology and Medical Oncology, Cleveland, Ohio, USA
| | - Aneela Majeed
- Cleveland Clinic, Infectious Disease, Cleveland, Ohio, USA
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14
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Matsushita M, Kashiwazaki S, Kamiko S, Kobori M, Osada M, Kunieda H, Hirao M, Ichikawa D, Hattori Y. Immunomodulatory Effect of Proteasome Inhibitors via the Induction of Immunogenic Cell Death in Myeloma Cells. Pharmaceuticals (Basel) 2023; 16:1367. [PMID: 37895838 PMCID: PMC10609901 DOI: 10.3390/ph16101367] [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: 08/10/2023] [Revised: 09/08/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
Several anti-cancer drugs are known to have immunomodulatory effects, including immunogenic cell death (ICD) of cancer cells. ICD is a form of apoptosis which is caused by the release of damage-associated molecular patterns (DAMPs), the uptake of cancer antigens by dendritic cells, and the activation of acquired immunity against cancer cells. ICD was originally reported in solid tumors, and there have been few reports on ICD in multiple myeloma (MM). Here, we showed that proteasome inhibitors, including carfilzomib, induce ICD in myeloma cells via an unfolded protein response pathway distinct from that in solid tumors. Additionally, we demonstrated the potential impact of ICD on the survival of patients with myeloma. ICD induced by proteasome inhibitors is expected to improve the prognosis of MM patients not only by its cytotoxic effects, but also by building strong immune memory response against MM cells in combination with other therapies, such as chimeric antigen receptor-T cell therapy.
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Affiliation(s)
- Maiko Matsushita
- Division of Clinical Physiology and Therapeutics, Faculty of Pharmacy, Keio University, Tokyo 105-8512, Japan
| | - Sho Kashiwazaki
- Division of Clinical Physiology and Therapeutics, Faculty of Pharmacy, Keio University, Tokyo 105-8512, Japan
| | - Satoshi Kamiko
- Division of Clinical Physiology and Therapeutics, Faculty of Pharmacy, Keio University, Tokyo 105-8512, Japan
| | - Michio Kobori
- Division of Clinical Physiology and Therapeutics, Faculty of Pharmacy, Keio University, Tokyo 105-8512, Japan
| | - Makoto Osada
- Department of Hematology, Tokyo Saiseikai Central Hospital, Tokyo 108-0073, Japan; (M.O.)
| | - Hisako Kunieda
- Department of Hematology, Tokyo Saiseikai Central Hospital, Tokyo 108-0073, Japan; (M.O.)
| | - Maki Hirao
- Department of Health Science, Faculty of Sports and Health Science, Daito Bunka University, Saitama 355-8501, Japan
| | - Daiju Ichikawa
- Division of Clinical Physiology and Therapeutics, Faculty of Pharmacy, Keio University, Tokyo 105-8512, Japan
| | - Yutaka Hattori
- Division of Clinical Physiology and Therapeutics, Faculty of Pharmacy, Keio University, Tokyo 105-8512, Japan
- Department of Hematology, Tokyo Saiseikai Central Hospital, Tokyo 108-0073, Japan; (M.O.)
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15
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Forster S, Radpour R, Ochsenbein AF. Molecular and immunological mechanisms of clonal evolution in multiple myeloma. Front Immunol 2023; 14:1243997. [PMID: 37744361 PMCID: PMC10516567 DOI: 10.3389/fimmu.2023.1243997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/21/2023] [Indexed: 09/26/2023] Open
Abstract
Multiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of clonal plasma cells in the bone marrow (BM). It is known that early genetic mutations in post-germinal center B/plasma cells are the cause of myelomagenesis. The acquisition of additional chromosomal abnormalities and distinct mutations further promote the outgrowth of malignant plasma cell populations that are resistant to conventional treatments, finally resulting in relapsed and therapy-refractory terminal stages of MM. In addition, myeloma cells are supported by autocrine signaling pathways and the tumor microenvironment (TME), which consists of diverse cell types such as stromal cells, immune cells, and components of the extracellular matrix. The TME provides essential signals and stimuli that induce proliferation and/or prevent apoptosis. In particular, the molecular pathways by which MM cells interact with the TME are crucial for the development of MM. To generate successful therapies and prevent MM recurrence, a thorough understanding of the molecular mechanisms that drive MM progression and therapy resistance is essential. In this review, we summarize key mechanisms that promote myelomagenesis and drive the clonal expansion in the course of MM progression such as autocrine signaling cascades, as well as direct and indirect interactions between the TME and malignant plasma cells. In addition, we highlight drug-resistance mechanisms and emerging therapies that are currently tested in clinical trials to overcome therapy-refractory MM stages.
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Affiliation(s)
- Stefan Forster
- Tumor Immunology, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ramin Radpour
- Tumor Immunology, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adrian F. Ochsenbein
- Tumor Immunology, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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16
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Malek E, Wang GM, Tatsuoka C, Cullen J, Madabhushi A, Driscoll JJ. Machine Learning Approach for Rapid, Accurate Point-of-Care Prediction of M-Spike Values in Multiple Myeloma. JCO Clin Cancer Inform 2023; 7:e2300078. [PMID: 37738540 DOI: 10.1200/cci.23.00078] [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: 05/03/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 09/24/2023] Open
Abstract
PURPOSE The gold standard for monitoring response status in patients with multiple myeloma (MM) is serum and urine protein electrophoresis which quantify M-spike proteins; however, the turnaround time for results is 3-7 days which delays treatment decisions. We hypothesized that machine learning (ML) could integrate readily available clinical and laboratory data to rapidly and accurately predict patient M-spike values. METHODS A retrospective chart review was performed using the deidentified, electronic medical records of 171 patients with MM. RESULTS Random forest (RF) analysis identified the weighted value of each independent variable (N = 43) integrated into the ML algorithm. Pearson and Spearman coefficients indicated that the ML-predicted M-spike values correlated highly with laboratory-measured serum protein electrophoresis values. Feature selected RF modeling revealed that only two variables-the first lagged M-spike and serum total protein-accurately predicted the M-spike. CONCLUSION Taken together, our results demonstrate the feasibility and prognostic potential of ML tools that integrate electronic data to longitudinally monitor disease burden. ML tools support the seamless, secure exchange of patient information to expedite and personalize clinical decision making and overcome geographic, financial, and social barriers that currently limit the access of underserved populations to cancer care specialists so that the benefits of medical progress are not limited to selected groups.
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Affiliation(s)
- Ehsan Malek
- Adult Hematologic Malignancies & Stem Cell Transplant Section, Seidman Cancer Center, University Hospitals Cleveland Medical Center, Cleveland, OH
- University Hospitals Cleveland Medical Center, Cleveland, OH
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
| | - Gi-Ming Wang
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, School of Medicine, Cleveland, OH
| | - Curtis Tatsuoka
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, School of Medicine, Cleveland, OH
- Cancer Epidemiology and Prevention, University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA
| | - Jennifer Cullen
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, School of Medicine, Cleveland, OH
| | - Anant Madabhushi
- Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA
- Atlanta Veterans Administration Medical Center, Atlanta, GA
| | - James J Driscoll
- Adult Hematologic Malignancies & Stem Cell Transplant Section, Seidman Cancer Center, University Hospitals Cleveland Medical Center, Cleveland, OH
- University Hospitals Cleveland Medical Center, Cleveland, OH
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
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17
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Sun Z, Ji J, Li Y, Cui Y, Fan L, Li J, Qu X. Identification of evolutionary mechanisms of myelomatous effusion by single-cell RNA sequencing. Blood Adv 2023; 7:4148-4159. [PMID: 37276129 PMCID: PMC10407129 DOI: 10.1182/bloodadvances.2022009477] [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: 12/13/2022] [Revised: 04/21/2023] [Accepted: 05/23/2023] [Indexed: 06/07/2023] Open
Abstract
Myelomatous effusion (ME) is a rare manifestation of extramedullary multiple myeloma (MM) with limited therapeutic options and poor outcomes. The molecular mechanisms underlying ME are incompletely understood. We profiled transcriptomes of bone marrow, peripheral blood (PB), and pleural effusion/ascites from 3 patients with ME using single-cell RNA sequencing analysis. We found that ME contained a higher percentage of cytotoxic T cells, whereas PB contained a higher proportion of naive T cells. Malignant cells varied within and between sites and patients in their expression of signatures. We identified a gene module highly expressed in intramedullary and extramedullary plasma cell clusters and defined cell clusters expressing this gene set as extramedullary-initiating cells (EMICs). This gene set was associated with increased cellular proliferation, involved in p53 signaling, and related to poor prognosis in MM. The transcriptional regulators E2F1, YY1, and SMAD1 were activated in EMICs. Leukocyte immunoglobulin-like receptor subfamily B4 (LILRB4) was upregulated in extramedullary EMICs. We confirmed that LILRB4 promoted MM cell migration in vitro. This study provided insight into the evolutionary mechanisms of ME and defined EMICs and LILRB4 associated with extramedullary development.
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Affiliation(s)
- Zhengxu Sun
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Jiamei Ji
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Yating Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Yunqi Cui
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Lei Fan
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Jianyong Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Xiaoyan Qu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
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18
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Ismail NH, Mussa A, Al-Khreisat MJ, Mohamed Yusoff S, Husin A, Johan MF. Proteomic Alteration in the Progression of Multiple Myeloma: A Comprehensive Review. Diagnostics (Basel) 2023; 13:2328. [PMID: 37510072 PMCID: PMC10378430 DOI: 10.3390/diagnostics13142328] [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: 05/16/2023] [Revised: 06/18/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
Multiple myeloma (MM) is an incurable hematologic malignancy. Most MM patients are diagnosed at a late stage because the early symptoms of the disease can be uncertain and nonspecific, often resembling other, more common conditions. Additionally, MM patients are commonly associated with rapid relapse and an inevitable refractory phase. MM is characterized by the abnormal proliferation of monoclonal plasma cells in the bone marrow. During the progression of MM, massive genomic alterations occur that target multiple signaling pathways and are accompanied by a multistep process involving differentiation, proliferation, and invasion. Moreover, the transformation of healthy plasma cell biology into genetically heterogeneous MM clones is driven by a variety of post-translational protein modifications (PTMs), which has complicated the discovery of effective treatments. PTMs have been identified as the most promising candidates for biomarker detection, and further research has been recommended to develop promising surrogate markers. Proteomics research has begun in MM, and a comprehensive literature review is available. However, proteomics applications in MM have yet to make significant progress. Exploration of proteomic alterations in MM is worthwhile to improve understanding of the pathophysiology of MM and to search for new treatment targets. Proteomics studies using mass spectrometry (MS) in conjunction with robust bioinformatics tools are an excellent way to learn more about protein changes and modifications during disease progression MM. This article addresses in depth the proteomic changes associated with MM disease transformation.
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Affiliation(s)
- Nor Hayati Ismail
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Ali Mussa
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
- Department of Biology, Faculty of Education, Omdurman Islamic University, Omdurman P.O. Box 382, Sudan
| | - Mutaz Jamal Al-Khreisat
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Shafini Mohamed Yusoff
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Azlan Husin
- Department of Internal Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Muhammad Farid Johan
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
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Zhou P, Li W, Zuo S, Ma R, Yuan X, Zhu Z. Pathogenesis, clinical characteristics and personalized managements of multiple myeloma with chromosome 1 abnormalities. Leuk Lymphoma 2023; 64:1373-1388. [PMID: 37300424 DOI: 10.1080/10428194.2023.2216325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 05/13/2023] [Accepted: 05/15/2023] [Indexed: 06/12/2023]
Abstract
Multiple myeloma (MM) is a biologically heterogeneous malignancy defined by the proliferation of monoclonal plasma cells. Despite the tremendous advancement in MM treatment over the past decades, relapse remains a major problem which is inevitable for most patients. In particular, a partial of patients with early relapse and poor outcomes are classified as a high-risk group. Apart from the clinical stage, genetic aberrations are now recognized as important prognostic factors for identifying high-risk patients. Chromosome 1 abnormalities (C1As), particularly 1q21 gain or amplification, have been identified as common genetic aberrations in patients with MM and are often considered unfavorable prognostic markers for progression-free survival and overall survival. However, more effective therapeutic approaches are still needed to overcome the negative impact of C1As. Therefore, we summarize the prevalence, pathogenesis, clinical significance and present therapeutic condition of C1As in MM, and attempt to conclude the precise and personalized management for patients with C1As.
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Affiliation(s)
- Pan Zhou
- Department of Hematology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, P.R. China
| | - Weiya Li
- Department of Hematology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, P.R. China
| | - Suqiong Zuo
- Department of Hematology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, P.R. China
| | - Rongjun Ma
- Department of Hematology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, P.R. China
| | - Xiaoli Yuan
- Department of Hematology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, P.R. China
| | - Zunmin Zhu
- Department of Hematology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, P.R. China
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20
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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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Dang M, Wang R, Lee HC, Patel KK, Becnel MR, Han G, Thomas SK, Hao D, Chu Y, Weber DM, Lin P, Lutter-Berka Z, Berrios Nolasco DA, Huang M, Bansal H, Song X, Zhang J, Futreal A, Moreno Rueda LY, Symer DE, Green MR, Rojas Hernandez CM, Kroll M, Afshar-Khargan V, Ndacayisaba LJ, Kuhn P, Neelapu SS, Orlowski RZ, Wang L, Manasanch EE. Single cell clonotypic and transcriptional evolution of multiple myeloma precursor disease. Cancer Cell 2023; 41:1032-1047.e4. [PMID: 37311413 PMCID: PMC10317474 DOI: 10.1016/j.ccell.2023.05.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 03/02/2023] [Accepted: 05/09/2023] [Indexed: 06/15/2023]
Abstract
Multiple myeloma remains an incurable disease, and the cellular and molecular evolution from precursor conditions, including monoclonal gammopathy of undetermined significance and smoldering multiple myeloma, is incompletely understood. Here, we combine single-cell RNA and B cell receptor sequencing from fifty-two patients with myeloma precursors in comparison with myeloma and normal donors. Our comprehensive analysis reveals early genomic drivers of malignant transformation, distinct transcriptional features, and divergent clonal expansion in hyperdiploid versus non-hyperdiploid samples. Additionally, we observe intra-patient heterogeneity with potential therapeutic implications and identify distinct patterns of evolution from myeloma precursor disease to myeloma. We also demonstrate distinctive characteristics of the microenvironment associated with specific genomic changes in myeloma cells. These findings add to our knowledge about myeloma precursor disease progression, providing valuable insights into patient risk stratification, biomarker discovery, and possible clinical applications.
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Affiliation(s)
- Minghao Dang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ruiping Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hans C Lee
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Krina K Patel
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Melody R Becnel
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guangchun Han
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sheeba K Thomas
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dapeng Hao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yanshuo Chu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Donna M Weber
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pei Lin
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zuzana Lutter-Berka
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David A Berrios Nolasco
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mei Huang
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hima Bansal
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luz Yurany Moreno Rueda
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David E Symer
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael R Green
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cristhiam M Rojas Hernandez
- Department of Internal Medicine, Section of Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Kroll
- Department of Internal Medicine, Section of Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vahid Afshar-Khargan
- Department of Internal Medicine, Section of Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Peter Kuhn
- University of Southern California, Los Angeles, CA, USA
| | - Sattva S Neelapu
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Elisabet E Manasanch
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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22
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Nau A, Shen Y, Sanchorawala V, Prokaeva T, Morgan GJ. Complete variable domain sequences of monoclonal antibody light chains identified from untargeted RNA sequencing data. Front Immunol 2023; 14:1167235. [PMID: 37143670 PMCID: PMC10151772 DOI: 10.3389/fimmu.2023.1167235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 03/31/2023] [Indexed: 05/06/2023] Open
Abstract
Introduction Monoclonal antibody light chain proteins secreted by clonal plasma cells cause tissue damage due to amyloid deposition and other mechanisms. The unique protein sequence associated with each case contributes to the diversity of clinical features observed in patients. Extensive work has characterized many light chains associated with multiple myeloma, light chain amyloidosis and other disorders, which we have collected in the publicly accessible database, AL-Base. However, light chain sequence diversity makes it difficult to determine the contribution of specific amino acid changes to pathology. Sequences of light chains associated with multiple myeloma provide a useful comparison to study mechanisms of light chain aggregation, but relatively few monoclonal sequences have been determined. Therefore, we sought to identify complete light chain sequences from existing high throughput sequencing data. Methods We developed a computational approach using the MiXCR suite of tools to extract complete rearranged IGVL-IGJL sequences from untargeted RNA sequencing data. This method was applied to whole-transcriptome RNA sequencing data from 766 newly diagnosed patients in the Multiple Myeloma Research Foundation CoMMpass study. Results Monoclonal IGVL-IGJL sequences were defined as those where >50% of assigned IGK or IGL reads from each sample mapped to a unique sequence. Clonal light chain sequences were identified in 705/766 samples from the CoMMpass study. Of these, 685 sequences covered the complete IGVL-IGJL region. The identity of the assigned sequences is consistent with their associated clinical data and with partial sequences previously determined from the same cohort of samples. Sequences have been deposited in AL-Base. Discussion Our method allows routine identification of clonal antibody sequences from RNA sequencing data collected for gene expression studies. The sequences identified represent, to our knowledge, the largest collection of multiple myeloma-associated light chains reported to date. This work substantially increases the number of monoclonal light chains known to be associated with non-amyloid plasma cell disorders and will facilitate studies of light chain pathology.
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Affiliation(s)
- Allison Nau
- Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Yun Shen
- Research Computing Services, Boston University, Boston, MA, United States
| | - Vaishali Sanchorawala
- Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Section of Hematology and Medical Oncology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Tatiana Prokaeva
- Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Gareth J. Morgan
- Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Section of Hematology and Medical Oncology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
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23
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Past, Present, and a Glance into the Future of Multiple Myeloma Treatment. Pharmaceuticals (Basel) 2023; 16:ph16030415. [PMID: 36986514 PMCID: PMC10056051 DOI: 10.3390/ph16030415] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 03/11/2023] Open
Abstract
Multiple myeloma (MM) is a challenging hematological cancer which typically grows in bone marrow. MM accounts for 10% of hematological malignancies and 1.8% of cancers. The recent treatment strategies have significantly improved progression-free survival for MM patients in the last decade; however, a relapse for most MM patients is inevitable. In this review we discuss current treatment, important pathways for proliferation, survival, immune suppression, and resistance that could be targeted for future treatments.
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24
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Larrayoz M, Garcia-Barchino MJ, Celay J, Etxebeste A, Jimenez M, Perez C, Ordoñez R, Cobaleda C, Botta C, Fresquet V, Roa S, Goicoechea I, Maia C, Lasaga M, Chesi M, Bergsagel PL, Larrayoz MJ, Calasanz MJ, Campos-Sanchez E, Martinez-Cano J, Panizo C, Rodriguez-Otero P, Vicent S, Roncador G, Gonzalez P, Takahashi S, Katz SG, Walensky LD, Ruppert SM, Lasater EA, Amann M, Lozano T, Llopiz D, Sarobe P, Lasarte JJ, Planell N, Gomez-Cabrero D, Kudryashova O, Kurilovich A, Revuelta MV, Cerchietti L, Agirre X, San Miguel J, Paiva B, Prosper F, Martinez-Climent JA. Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma. Nat Med 2023; 29:632-645. [PMID: 36928817 PMCID: PMC10033443 DOI: 10.1038/s41591-022-02178-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 12/09/2022] [Indexed: 03/17/2023]
Abstract
The historical lack of preclinical models reflecting the genetic heterogeneity of multiple myeloma (MM) hampers the advance of therapeutic discoveries. To circumvent this limitation, we screened mice engineered to carry eight MM lesions (NF-κB, KRAS, MYC, TP53, BCL2, cyclin D1, MMSET/NSD2 and c-MAF) combinatorially activated in B lymphocytes following T cell-driven immunization. Fifteen genetically diverse models developed bone marrow (BM) tumors fulfilling MM pathogenesis. Integrative analyses of ∼500 mice and ∼1,000 patients revealed a common MAPK-MYC genetic pathway that accelerated time to progression from precursor states across genetically heterogeneous MM. MYC-dependent time to progression conditioned immune evasion mechanisms that remodeled the BM microenvironment differently. Rapid MYC-driven progressors exhibited a high number of activated/exhausted CD8+ T cells with reduced immunosuppressive regulatory T (Treg) cells, while late MYC acquisition in slow progressors was associated with lower CD8+ T cell infiltration and more abundant Treg cells. Single-cell transcriptomics and functional assays defined a high ratio of CD8+ T cells versus Treg cells as a predictor of response to immune checkpoint blockade (ICB). In clinical series, high CD8+ T/Treg cell ratios underlie early progression in untreated smoldering MM, and correlated with early relapse in newly diagnosed patients with MM under Len/Dex therapy. In ICB-refractory MM models, increasing CD8+ T cell cytotoxicity or depleting Treg cells reversed immunotherapy resistance and yielded prolonged MM control. Our experimental models enable the correlation of MM genetic and immunological traits with preclinical therapy responses, which may inform the next-generation immunotherapy trials.
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Affiliation(s)
- Marta Larrayoz
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Maria J Garcia-Barchino
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Jon Celay
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Amaia Etxebeste
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Maddalen Jimenez
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Cristina Perez
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Raquel Ordoñez
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Cesar Cobaleda
- Immune System Development and Function Unit, Centro de Biologia Molecular Severo Ochoa, Consejo Superior de Investigaciones Cientificas/Universidad Autonoma, Madrid, Spain
| | - Cirino Botta
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy
| | - Vicente Fresquet
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Sergio Roa
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Ibai Goicoechea
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Catarina Maia
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Miren Lasaga
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Marta Chesi
- Department of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - P Leif Bergsagel
- Department of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Maria J Larrayoz
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Maria J Calasanz
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Elena Campos-Sanchez
- Immune System Development and Function Unit, Centro de Biologia Molecular Severo Ochoa, Consejo Superior de Investigaciones Cientificas/Universidad Autonoma, Madrid, Spain
| | - Jorge Martinez-Cano
- Immune System Development and Function Unit, Centro de Biologia Molecular Severo Ochoa, Consejo Superior de Investigaciones Cientificas/Universidad Autonoma, Madrid, Spain
| | - Carlos Panizo
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Paula Rodriguez-Otero
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Silvestre Vicent
- Program in Solid Tumors, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBERONC, Pamplona, Spain
| | - Giovanna Roncador
- Monoclonal Antibodies Unit, Biotechnology Program, Spanish National Cancer Research Centre CNIO, Madrid, Spain
| | - Patricia Gonzalez
- Monoclonal Antibodies Unit, Biotechnology Program, Spanish National Cancer Research Centre CNIO, Madrid, Spain
| | - Satoru Takahashi
- Department of Anatomy and Embryology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Samuel G Katz
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Loren D Walensky
- Department of Pediatric Oncology and Program in Cancer Chemical Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Shannon M Ruppert
- Oncology Biomarker Development, Genentech, South San Francisco, CA, USA
| | - Elisabeth A Lasater
- Department of Translational Oncology, Genentech, South San Francisco, CA, USA
| | - Maria Amann
- Roche Innovation Center Zurich, Roche Pharmaceutical Research and Early Development (pRED), Schlieren, Switzerland
| | - Teresa Lozano
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Diana Llopiz
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Pablo Sarobe
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Juan J Lasarte
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Nuria Planell
- Translational Bioinformatics Unit, Navarra-Biomed, Public University of Navarra, IDISNA, Pamplona, Spain
| | - David Gomez-Cabrero
- Translational Bioinformatics Unit, Navarra-Biomed, Public University of Navarra, IDISNA, Pamplona, Spain
- Biological and Environmental Sciences & Engineering Division, King Abdullah University of Science & Technology, Thuwal, Kingdom of Saudi Arabia
| | | | | | - Maria V Revuelta
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Leandro Cerchietti
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Xabier Agirre
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Jesus San Miguel
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Bruno Paiva
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Felipe Prosper
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Jose A Martinez-Climent
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain.
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25
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Maouche N, Srinivasan A, Leary H, Collings F, Tseu B, Vallance GD, Ramasamy K, Kothari J. Daratumumab Monotherapy for Heavily Pre-treated and Refractory Myeloma: Results from a UK Multicentre Real World Cohort. J Oncol Pharm Pract 2023; 29:299-304. [PMID: 34939868 DOI: 10.1177/10781552211067780] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Daratumumab is the first anti-CD38 targeting monoclonal antibody approved as monotherapy in multiply relapsed myeloma patients who progressed following prior treatment with proteasome inhibitors (PIs) and immunomodulatory agents (IMiDs). We present real world data on the efficacy of single agent daratumumab in a cohort of 55 multiply relapsed patients treated in the UK.The median age was 72 years, the majority (96%) received ≥ 3 previous lines of treatment; 54.5% were PI-refractory, 76.4% were IMiD-refractory and 47.2% were double refractory; 20% of patients had high-risk (HR) disease.The overall response rate was 49%. After a median follow up of 9.2 months, the median progression-free survival (PFS) for the total cohort was 5.1 months. Patients who achieved a partial response or better (≥PR) demonstrated a significantly longer PFS compared to those with <PR; 9.8 versus 2.7 months, p < 0.001. Double-refractory patients had an inferior PFS compared to single-refractory patients; 2.7 versus 7.4 months, p = 0.084. High-risk disease was associated with significantly shorter PFS compared to standard-risk (SR); 2.3 versus 6.7 months, p = 0.001. The median overall survival (OS) was 15.9 months. Despite a relatively short PFS seen in the double-refractory and high-risk patients; a favourable median overall survival of 12.9 months was achieved in these groups. Patients who achieved ≥PR, those with a previous objective response to PIs or IMiDs and those with SR disease, all benefited from a significantly longer OS which was not reached. A clear benefit in survival is encouraging in this setting of unmet clinical need and limited treatment options.
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Affiliation(s)
- Nadjoua Maouche
- Department of Pharmacy, 6397Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Anandagopal Srinivasan
- Department of Haematology, 6397Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Heather Leary
- Department of Haematology, 5489Milton Keynes University Hospital NHS Foundation Trust, Milton Keynes, UK
| | - Freya Collings
- Department of Haematology, 7766Great Western Hospitals NHS Foundation Trust, Swindon, UK
| | - Bing Tseu
- Department of Haematology, 1174Buckinghamshire Healthcare NHS Trust, Bucks, UK
| | - Grant D Vallance
- Department of Haematology, 6397Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Karthik Ramasamy
- Department of Haematology, 6397Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Jaimal Kothari
- Department of Haematology, 6397Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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26
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Thongon N, Ma F, Lockyer P, Baran N, Liu J, Jackson C, Rose A, Wildeman B, Marchesini M, Marchica V, Storti P, Giuliani N, Ganan-Gomez I, Adema V, Qing Y, Ha M, Fonseca R, Class C, Tan L, Kanagal-Shamanna R, Nolasco DB, Cerchione C, Montalban-Bravo G, Santoni A, Bueso-Ramos C, Konopleva M, Lorenzi P, Garcia-Manero G, Manasanch E, Viale A, Chesi M, Colla S. Targeting DNA2 Overcomes Metabolic Reprogramming in Multiple Myeloma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.22.529457. [PMID: 36865225 PMCID: PMC9980056 DOI: 10.1101/2023.02.22.529457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
DNA damage resistance is a major barrier to effective DNA-damaging therapy in multiple myeloma (MM). To discover novel mechanisms through which MM cells overcome DNA damage, we investigated how MM cells become resistant to antisense oligonucleotide (ASO) therapy targeting ILF2, a DNA damage regulator that is overexpressed in 70% of MM patients whose disease has progressed after standard therapies have failed. Here, we show that MM cells undergo an adaptive metabolic rewiring and rely on oxidative phosphorylation to restore energy balance and promote survival in response to DNA damage activation. Using a CRISPR/Cas9 screening strategy, we identified the mitochondrial DNA repair protein DNA2, whose loss of function suppresses MM cells' ability to overcome ILF2 ASO-induced DNA damage, as being essential to counteracting oxidative DNA damage and maintaining mitochondrial respiration. Our study revealed a novel vulnerability of MM cells that have an increased demand for mitochondrial metabolism upon DNA damage activation. STATEMENT OF SIGNIFICANCE Metabolic reprogramming is a mechanism through which cancer cells maintain survival and become resistant to DNA-damaging therapy. Here, we show that targeting DNA2 is synthetically lethal in myeloma cells that undergo metabolic adaptation and rely on oxidative phosphorylation to maintain survival after DNA damage activation.
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27
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Beksac M, Akin HY, Cengiz Seval G, Yurdakul Mesutoglu P, Anliacik RG, Anliacik E, Gurman G, Karaagaoglu E, Dalva K. A Novel Hypothesis: Certain KIR/Cognate Ligand Containing Genotypes Differ in Frequency Among Patients With Myeloma and Have an Effect on Age of Disease Onset. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2023; 23:394-400.e1. [PMID: 36918304 DOI: 10.1016/j.clml.2023.02.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/12/2023] [Accepted: 02/16/2023] [Indexed: 02/25/2023]
Abstract
BACKGROUND Natural killer (NK) cells are known to have cytotoxic effects mediated through killer immunoglobulin-like receptors (KIRs) and their cognate ligands. Role of KIRs in myeloma is yet unresolved. PATIENTS AND METHODS KIR genotypes and ligands of 204 newly diagnosed MM patients are compared with 424 healthy subjects. Statistical analysis included t-test, chi-square and binary logistic regression. RESULTS KIR ligands were significantly more (C2C2: 27.5% vs 15.1%; OR 2.128; 95% CI, 1.417-3.196; P < .001) or less (C1C2: 40.2% vs 51.9%; OR 0.623; 95% CI, 0.444-0.874; P = .006) frequent among MM. Co-occurrence of genotype AA with C2C2 was also higher in frequency among MM (OR 2.509; 95% CI, 1.171-5.378; P = .015) likewise cAB1 with C1C2 was less frequent (OR 0.553; 95% CI, 0.333-0.919; P = .021). Genotypes AA with C1C1, cAB1 with C1C2 or C1C2 alone were associated with a delay (median age: 61 [48-73]; P = .044; 62 [31-81]; P = .030 or 59 [31-85]; P = .028), but AA with C2C2 with an earlier age of onset (48 [29-77]; P = .042). In multivariate analysis including R-ISS, light chain, KIR genotype/ligands; ligand C1C2 (P = .02) and genotype AA-C1C1 (P = .037) were independently associated with age of onset ≥60. CONCLUSION C1C2 and C2C2 alone or in combination with KIR genotype (cAB1 and AA, respectively), is observed in less or higher frequency among MM cases and associated with delayed/earlier age of onset, respectively. Genotype AA-C1C1 although in similar frequency between patients and healthy subjects, is also associated with delay. To our knowledge, this is the first study demonstrating an association between KIR and MM onset age, independent from R-ISS or light chain type.
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Affiliation(s)
- Meral Beksac
- Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey.
| | - Hasan Yalim Akin
- Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey
| | | | | | - Rıdvan Goksel Anliacik
- Department of Hematology, Immunogenetics Laboratory, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Ezgi Anliacik
- Department of Hematology, Immunogenetics Laboratory, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Gunhan Gurman
- Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Ergun Karaagaoglu
- Department of Biostatistics, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Klara Dalva
- Department of Hematology, Immunogenetics Laboratory, Ankara University Faculty of Medicine, Ankara, Turkey
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Ohguchi Y, Ohguchi H. DIS3: The Enigmatic Gene in Multiple Myeloma. Int J Mol Sci 2023; 24:ijms24044079. [PMID: 36835493 PMCID: PMC9958658 DOI: 10.3390/ijms24044079] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/01/2023] [Accepted: 02/15/2023] [Indexed: 02/22/2023] Open
Abstract
Recent studies have revealed the genetic aberrations involved in the initiation and progression of various cancers, including multiple myeloma (MM), via next-generation sequencing analysis. Notably, DIS3 mutations have been identified in approximately 10% of patients with MM. Moreover, deletions of the long arm of chromosome 13, that includes DIS3, are present in approximately 40% of patients with MM. Regardless of the high incidence of DIS3 mutations and deletions, their contribution to the pathogenesis of MM has not yet been determined. Herein, we summarize the molecular and physiological functions of DIS3, focusing on hematopoiesis, and discuss the characteristics and potential roles of DIS3 mutations in MM. Recent findings highlight the essential roles of DIS3 in RNA homeostasis and normal hematopoiesis and suggest that the reduced activity of DIS3 may be involved in myelomagenesis by increasing genome instability.
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Affiliation(s)
- Yasuyo Ohguchi
- Division of Disease Epigenetics, Institute of Resource Development and Analysis, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto 860-0811, Japan
| | - Hiroto Ohguchi
- Division of Disease Epigenetics, Institute of Resource Development and Analysis, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto 860-0811, Japan
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The Expression of Serum lncRNA MIR17HG in Patients with Multiple Myeloma and Its Clinical Significance. Eur J Cancer Care (Engl) 2023. [DOI: 10.1155/2023/1728909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Objective. Multiple myeloma (MM) represents a malignant tumor with abnormal proliferation of plasma cells. The current study sought to investigate the changes in serum lncRNA MIR17HG (long noncoding RNA miR-17-92a-1 cluster host gene) levels in MM patients and its values in assessing the accuracy of MM diagnosis and predicting diagnosis. Methods. First, 108MM patients and 85 healthy controls were enrolled as the study subjects. The serum levels of MIR17HG in all subjects were determined by RT-qPCR. MM patients were clinically staged according to the Durie-Salmon (DS) and international staging system (ISS), and the levels of serum MIR17HG were compared among patients at different stages. The correlation of serum MIR17H level with serum creatinine (Scr), lactate dehydrogenase (LDH), and albumin (ALB) was analyzed using the Pearson method. The accuracy of the serum MIR17HG level in identifying MM was evaluated using receiver operating characteristic curves. The progression-free survival (PFS) and overall survival (OS) curves of MM patients were plotted using the Kaplan–Meier method. Results. Serum MIR17HG levels were up-regulated in MM patients and elevated with the development of DS and ISS stages. The serum MIR17HG was positively correlated with Scr and LDH and negatively correlated with ALB in MM patients. Serum MIR17HG level >1.485 could evaluate the accuracy of identifying MM. The PFS and OS were significantly shortened in MM patients with elevated MIR17HG levels. Conclusion. Our findings collectively indicate that the serum MIR17HG can aid the evaluation of accurate MM identification, and a high serum MIR17HG level can predict poor prognosis of patients with MM.
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Lagreca I, Nasillo V, Barozzi P, Castelli I, Basso S, Castellano S, Paolini A, Maccaferri M, Colaci E, Vallerini D, Natali P, Debbia D, Pirotti T, Ottomano AM, Maffei R, Bettelli F, Giusti D, Messerotti A, Gilioli A, Pioli V, Leonardi G, Forghieri F, Bresciani P, Cuoghi A, Morselli M, Manfredini R, Longo G, Candoni A, Marasca R, Potenza L, Tagliafico E, Trenti T, Comoli P, Luppi M, Riva G. Prognostic Relevance of Multi-Antigenic Myeloma-Specific T-Cell Assay in Patients with Monoclonal Gammopathies. Cancers (Basel) 2023; 15:cancers15030972. [PMID: 36765928 PMCID: PMC9913154 DOI: 10.3390/cancers15030972] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/15/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Multiple Myeloma (MM) typically originates from underlying precursor conditions, known as Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM). Validated risk factors, related to the main features of the clonal plasma cells, are employed in the current prognostic models to assess long-term probabilities of progression to MM. In addition, new prognostic immunologic parameters, measuring protective MM-specific T-cell responses, could help to identify patients with shorter time-to-progression. In this report, we described a novel Multi-antigenic Myeloma-specific (MaMs) T-cell assay, based on ELISpot technology, providing simultaneous evaluation of T-cell responses towards ten different MM-associated antigens. When performed during long-term follow-up (mean 28 months) of 33 patients with either MGUS or SMM, such deca-antigenic myeloma-specific immunoassay allowed to significantly distinguish between stable vs. progressive disease (p < 0.001), independently from the Mayo Clinic risk category. Here, we report the first clinical experience showing that a wide (multi-antigen), standardized (irrespective to patients' HLA), MM-specific T-cell assay may routinely be applied, as a promising prognostic tool, during the follow-up of MGUS/SMM patients. Larger studies are needed to improve the antigenic panel and further explore the prognostic value of MaMs test in the risk assessment of patients with monoclonal gammopathies.
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Affiliation(s)
- Ivana Lagreca
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Vincenzo Nasillo
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Patrizia Barozzi
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Ilaria Castelli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Sabrina Basso
- Pediatric Hematology/Oncology Unit and Cell Factory, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, 27100 Pavia, Italy
| | - Sara Castellano
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Ambra Paolini
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Monica Maccaferri
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Elisabetta Colaci
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Daniela Vallerini
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Patrizia Natali
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Daria Debbia
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Tommaso Pirotti
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Anna Maria Ottomano
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Rossana Maffei
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Francesca Bettelli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Davide Giusti
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Andrea Messerotti
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Andrea Gilioli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Valeria Pioli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Giovanna Leonardi
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Fabio Forghieri
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Paola Bresciani
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Angela Cuoghi
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Monica Morselli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Rossella Manfredini
- Centre for Regenerative Medicine “S. Ferrari”, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Giuseppe Longo
- Department of Oncology and Hematology, AOU Modena, 41124 Modena, Italy
| | - Anna Candoni
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Roberto Marasca
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Leonardo Potenza
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Enrico Tagliafico
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Tommaso Trenti
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Patrizia Comoli
- Pediatric Hematology/Oncology Unit and Cell Factory, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, 27100 Pavia, Italy
| | - Mario Luppi
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
- Correspondence: (M.L.); (G.R.); Tel.: +39-059-422-5570 (M.L.); +39-059-422-3025 (G.R.)
| | - Giovanni Riva
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
- Correspondence: (M.L.); (G.R.); Tel.: +39-059-422-5570 (M.L.); +39-059-422-3025 (G.R.)
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Wang J, Zuo Y, Lv C, Zhou M, Wan Y. N6-methyladenosine regulators are potential prognostic biomarkers for multiple myeloma. IUBMB Life 2023; 75:137-148. [PMID: 36177774 PMCID: PMC10115423 DOI: 10.1002/iub.2678] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/12/2022] [Indexed: 02/02/2023]
Abstract
N6-methyladenosine (m6A) regulators play an important role in tumorigenesis; however, their role in multiple myeloma (MM) remains unknown. This study aimed to create an m6A RNA regulators prognostic signature for MM patients. We integrated data from the Multiple Myeloma Research Foundation CoMMpass Study and the Genotype-Tissue Expression database to analyze gene expression profiles of 21 m6A regulators. Consistent clustering analysis was used to identify the clusters of patients with MM having different clinical outcomes. Gene distribution was analyzed using principal component analysis. Next, we generated an mRNA gene signature of m6A regulators using a multivariate logistic regression model with least absolute shrinkage and selection operator. The expressions of m6A regulators, except FMR1, were significantly different in MM samples compared with those in normal samples. The KIAA1429, HNRNPC, FTO, and WTAP expression levels were dramatically downregulated in tumor samples, whereas those of other signatures were remarkably upregulated. Three clusters of patients with MM were identified, and significant differences were found in terms of overall survival (p = .024). A prognostic two-gene signature (KIAA1429 and HNRNPA2B1) was constructed, which had a good prognostic significance using the ROC method (AUC = 0.792). Moreover, the risk score correlated with the infiltration immune cells. In addition, KEGG pathway analysis showed that 16 pathways were dramatically enriched. The m6A signature might be a novel biomarker for predicting the prognosis of patients with MM (p = .002). Our study is the first to explore the potential application value of m6A in MM. These findings may enhance the understanding of the functional organization of m6A in MM and provide new insights into the treatment of MM patients.
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Affiliation(s)
- Jing Wang
- Department of Oncology and Hematology, Yizheng Hospital of Nanjing Drum Tower Hospital Group, Yizheng, People's Republic of China.,Department of Hematology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, People's Republic of China.,The Pq Laboratory of BiomeDx/Rx, Department of Biomedical Engineering, Binghamton University SUNY, Binghamton, New York, USA
| | - Yifan Zuo
- Department of Hematology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, People's Republic of China
| | - Chenglan Lv
- Department of Hematology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, People's Republic of China
| | - Min Zhou
- Department of Hematology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, People's Republic of China
| | - Yuan Wan
- The Pq Laboratory of BiomeDx/Rx, Department of Biomedical Engineering, Binghamton University SUNY, Binghamton, New York, USA
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Marcon C, Simeon V, Deias P, Facchin G, Corso A, Derudas D, Montefusco V, Offidani M, Petrucci MT, Zambello R, Stocchi R, Fanin R, Patriarca F. Experts' consensus on the definition and management of high risk multiple myeloma. Front Oncol 2023; 12:1096852. [PMID: 36755858 PMCID: PMC9899889 DOI: 10.3389/fonc.2022.1096852] [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: 11/12/2022] [Accepted: 12/16/2022] [Indexed: 01/24/2023] Open
Abstract
High risk multiple myeloma (HRMM) at diagnosis is currently recognized according to the Revised International Staging System (R-ISS) which was set up in 2015. Since then, new clinical and biological prognostic factors have been developed, which could implement the definition of High Risk (HR) category. We conducted a survey in order to identify which additional parameters, both clinical and biological, are considered more useful for the clinical practice and to evaluate if the management of Multiple Myeloma (MM) should change on the basis of the risk category. A questionnaire, consisting of 8 statements, was submitted to 6 Italian experts, from the European Myeloma Network (EMN) Research Italy, using the Delphi method. The colleagues were asked to answer each question using a scale between 0 and 100. If a statement did not reach at least 75 out of 100 points from all the participants, it was rephrased on the basis of the proposal of the experts and resubmitted in a second or further round, until a consensus was reached among all. From the first round of the survey a strong consensus was reached regarding the opportunity to revise the R-ISS including chromosome 1 abnormality, TP53 mutation or deletion, circulating plasma cells by next generation flow and extramedullary plasmacytomas. No consensus was reached for the definition of "double hit" MM and for the application in clinical practice of treatment strategies based on the risk category. In the second round of the Delphi questionnaire, "double-hit" MM was recognized by the association of at least two high-risk cytogenetic or molecular abnormalities. Moreover, the experts agreed to reserve an intensified treatment only to specific conditions, such as plasma cell leukaemia or patients with multiple extramedullary plasmacytomas, while they admitted that there are not sufficient real word data in order to modify treatment on the basis of MRD assessment in clinical practice. This survey suggests that the definition of HRMM should be implemented by additional clinical and biological risk factors, that will be useful to guide treatment in the future.
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Affiliation(s)
- Chiara Marcon
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy,*Correspondence: Chiara Marcon,
| | - Valentina Simeon
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy
| | - Paola Deias
- Division of Hematology and Bone Marrow Transplant Center, Department of Medical Science, R. Binaghi Hospital, Cagliari University, Cagliari, Italy
| | - Gabriele Facchin
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy
| | | | - Daniele Derudas
- Division of Hematology and Bone Marrow Transplant Center, A. Businco Cancer Hospital, Cagliari, Italy
| | - Vittorio Montefusco
- Division of Hematology, Azienda Socio Sanitaria Territoriale (ASST) Santi Paolo e Carlo, Milan, Italy
| | - Massimo Offidani
- Clinical Hematology, Azienda Ospedaliera Universitaria (AOU) Ospedali Riuniti di Ancona, Ancona, Italy
| | - Maria Teresa Petrucci
- Division of Hematology, Department of Translational and Precision Medicine, Azienda Ospedaliera Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Renato Zambello
- Clinical Hematology, Azienda Ospedaliera di Padova, Padua, Italy
| | - Raffaella Stocchi
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy
| | - Renato Fanin
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy
| | - Francesca Patriarca
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy
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Implications and prognostic impact of mass spectrometry in patients with newly-diagnosed multiple myeloma. Blood Cancer J 2023; 13:1. [PMID: 36599831 DOI: 10.1038/s41408-022-00772-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/08/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023] Open
Abstract
Mass spectrometry (MS) is a promising tool for monitoring monoclonal protein in plasma cell dyscrasias. We included 480 transplant-eligible newly-diagnosed multiple myeloma (MM) patients from the GMMG-MM5 trial (EudraCT No. 2010-019173-16) and performed a retrospective MS analysis at baseline (480 patients) and at the pre-defined, consecutive time points after induction (444 patients), prior to maintenance (305 patients) and after one year of maintenance (227 patients). We found that MS negativity was significantly associated with improved progression-free survival (PFS) even in patients with complete response (CR) at all investigated follow-up time points. The prognostic impact was independent of established risk factors, such as the revised International Staging System. Combining MS and baseline cytogenetics improved the prediction of outcome: MS-positive patients with high-risk cytogenetics had a dismal PFS of 1.9 years (95% confidence interval [CI]: 1.6-2.3 years) from the start of maintenance. Testing the value of sequential MS prior to and after one year of maintenance, patients converting from MS positivity to negativity had an excellent PFS (median not reached) while patients converting from MS negativity to positivity progressed early (median 0.6 years, 95% CI: 0.3-not reached). Among patients with sustained MS positivity, the baseline high-risk cytogenetic status had a significant impact and defined a group with poor PFS. Combining minimal residual disease (MRD) in the bone marrow and MS allowed the identification of double negative patients with a favorable PFS (median 3.33 years, 95% CI: 3.08-not reached) and no overall survival events. Our study provides strong evidence that MS is superior to conventional response monitoring, highlighting the potential of MS to become a new standard. Our data indicate that MS should be performed sequentially and combined with baseline disease features and MRD to improve its clinical value.Clinical Trials Register: EudraCT No. 2010-019173-16.
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Fend F, Dogan A, Cook JR. Plasma cell neoplasms and related entities-evolution in diagnosis and classification. Virchows Arch 2023; 482:163-177. [PMID: 36414803 PMCID: PMC9852202 DOI: 10.1007/s00428-022-03431-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/11/2022] [Accepted: 10/15/2022] [Indexed: 11/23/2022]
Abstract
Plasma cell neoplasms including multiple myeloma (MM) and related terminally differentiated B-cell neoplasms are characterized by secretion of monoclonal immunoglobulin and stepwise development from a preneoplastic clonal B and/or plasma cell proliferation called monoclonal gammopathy of undetermined significance (MGUS). Diagnosis of these disorders requires integration of clinical, laboratory, and morphological features. While their classification mostly remains unchanged compared to the revised 2016 WHO classification and the 2014 International Myeloma Working Group consensus, some changes in criteria and terminology were proposed in the 2022 International Consensus Classification (ICC) of mature lymphoid neoplasms. MGUS of IgM type is now divided into IgM MGUS of plasma cell type, precursor to the rare IgM MM and characterized by MM-type cytogenetics, lack of clonal B-cells and absence of MYD88 mutation, and IgM MGUS, NOS including the remaining cases. Primary cold agglutinin disease is recognized as a new entity. MM is now formally subdivided into cytogenetic groups, recognizing the importance of genetics for clinical features and prognosis. MM with recurrent genetic abnormalities includes MM with CCND family translocations, MM with MAF family translocations, MM with NSD2 translocation, and MM with hyperdiploidy, with the remaining cases classified as MM, NOS. For diagnosis of localized plasma cell tumors, solitary plasmacytoma of bone, and primary extraosseous plasmacytoma, the importance of excluding minimal bone marrow infiltration by flow cytometry is emphasized. Primary systemic amyloidosis is renamed immunoglobulin light chain amyloidosis (AL), and a localized AL amyloidosis is recognized as a distinct entity. This review summarizes the updates on plasma cell neoplasms and related entities proposed in the 2022 ICC. KEY POINTS: • Lymphoplasmacytic lymphoma can be diagnosed with lymphoplasmacytic aggregates in trephine biopsies < 10% of cellularity and evidence of clonal B-cells and plasma cells. • IgM MGUS is subdivided into a plasma cell type and a not otherwise specified (NOS) type. • Primary cold agglutinin disease is recognized as a new entity. • The term "multiple myeloma" replaces the term "plasma cell myeloma" used in the 2016 WHO classification. • Multiple myeloma is subdivided into 4 mutually exclusive cytogenetic groups and MM NOS. • Minimal bone marrow infiltration detected by flow cytometry is of major prognostic importance for solitary plasmacytoma of bone and to a lesser extent for primary extraosseous plasmacytoma. • Localized IG light chain amyloidosis is recognized as a separate entity, distinct from systemic immunoglobulin light chain (AL) amyloidosis.
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Affiliation(s)
- Falko Fend
- Institute of Pathology and Neuropathology and Comprehensive Cancer Center, Tübingen University Hospital, Tübingen, Germany
| | - Ahmet Dogan
- Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA
| | - James R. Cook
- Department of Clinical Pathology, Cleveland Clinic, Cleveland, OH 44195 USA
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Aksoy O, Lind J, Sunder-Plaßmann V, Vallet S, Podar K. Bone marrow microenvironment- induced regulation of Bcl-2 family members in multiple myeloma (MM): Therapeutic implications. Cytokine 2023; 161:156062. [PMID: 36332463 DOI: 10.1016/j.cyto.2022.156062] [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: 06/01/2022] [Revised: 09/19/2022] [Accepted: 09/30/2022] [Indexed: 11/23/2022]
Abstract
In Multiple Myeloma (MM) the finely tuned homeostasis of the bone marrow (BM) microenvironment is disrupted. Evasion of programmed cell death (apoptosis) represents a hallmark of cancer. Besides genetic aberrations, the supportive and protective MM BM milieu, which is constituted by cytokines and growth factors, intercellular and cell: extracellular matrix (ECM) interactions and exosomes, in particular, plays a key role in the abundance of pro-survival members of the Bcl-2 family (i.e., Mcl-1, Bcl-2, and Bcl-xL) in tumor cells. Moreover, microenvironmental cues have also an impact on stability- regulating post-translational modifications of anti-apoptotic proteins including de/phosphorylation, polyubiquitination; on their intracellular binding affinities, and localization. Advances of our molecular knowledge on the escape of cancer cells from apoptosis have informed the development of a new class of small molecules that mimic the action of BH3-only proteins. Indeed, approaches to directly target anti-apoptotic Bcl-2 family members are among today's most promising therapeutic strategies and BH3-mimetics (i.e., venetoclax) are currently revolutionizing not only the treatment of CLL and AML, but also hold great therapeutic promise in MM. Furthermore, approaches that activate apoptotic pathways indirectly via modification of the tumor microenvironment have already entered clinical practice. The present review article will summarize our up-to-date knowledge on molecular mechanisms by which the MM BM microenvironment, cytokines, and growth factors in particular, mediates tumor cell evasion from apoptosis. Moreover, it will discuss some of the most promising science- derived therapeutic strategies to overcome Bcl-2- mediated tumor cell survival in order to further improve MM patient outcome.
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Affiliation(s)
- Osman Aksoy
- Molecular Oncology and Hematology Unit, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straße 30, 3500 Krems an der Donau, Austria
| | - Judith Lind
- Molecular Oncology and Hematology Unit, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straße 30, 3500 Krems an der Donau, Austria
| | - Vincent Sunder-Plaßmann
- Molecular Oncology and Hematology Unit, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straße 30, 3500 Krems an der Donau, Austria
| | - Sonia Vallet
- Molecular Oncology and Hematology Unit, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straße 30, 3500 Krems an der Donau, Austria; Department of Internal Medicine 2, University Hospital Krems, Mitterweg 10, 3500 Krems an der Donau, Austria
| | - Klaus Podar
- Molecular Oncology and Hematology Unit, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straße 30, 3500 Krems an der Donau, Austria; Department of Internal Medicine 2, University Hospital Krems, Mitterweg 10, 3500 Krems an der Donau, Austria.
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Tavakoli Pirzaman A, Ebrahimi P, Hasanpour AH, Shakeri M, Babajani B, Pourali Ganji Z, Babaei H, Rahmati A, Hosseinzadeh R, Doostmohamadian S, Kazemi S. miRNAs and Multiple Myeloma: Focus on the Pathogenesis, Prognosis, and Drug Resistance. Technol Cancer Res Treat 2023; 22:15330338231202391. [PMID: 37728167 PMCID: PMC10515583 DOI: 10.1177/15330338231202391] [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: 05/08/2023] [Revised: 08/30/2023] [Accepted: 09/04/2023] [Indexed: 09/21/2023] Open
Abstract
Multiple myeloma (MM) produces clonal plasma cells and aberrant monoclonal antibody accumulation in patients' bone marrow (BM). Around 1% of all cancers and 13% of hematological malignancies are caused by MM, making it one of the most common types of cancer. Diagnostic and therapeutic methods for managing MM are currently undergoing extensive research. MicroRNAs (miRNAs) are short noncoding RNAs that reduce or inhibit the translation of their target mRNA after transcription. Because miRNAs play an influential role in how myeloma develops, resources, and becomes resistant to drugs, miRNA signatures may be used to diagnose, do prognosis, and treat the myeloma response. Consequently, researchers have investigated the levels of miRNA in plasma cells from MM patients and developed tools to test whether they directly impacted tumor growth. This review discusses the latest discoveries in miRNA science and their role in the development of MM. We also emphasize the potential applications of miRNAs to diagnose, prognosticate, and treat MM in the future.
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Affiliation(s)
| | - Pouyan Ebrahimi
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | | | - Mahdi Shakeri
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Bahareh Babajani
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Zahra Pourali Ganji
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Hedye Babaei
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Amirhossein Rahmati
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Rezvan Hosseinzadeh
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | | | - Sohrab Kazemi
- Cellular and Molecular Biology Research Center, Health Research Center, Babol University of Medical Sciences, Babol, Iran
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Zhao J, Wang X, Zhu H, Wei S, Zhang H, Ma L, He P. Integrative Analysis of Bulk RNA-Seq and Single-Cell RNA-Seq Unveils Novel Prognostic Biomarkers in Multiple Myeloma. Biomolecules 2022; 12:biom12121855. [PMID: 36551283 PMCID: PMC9776050 DOI: 10.3390/biom12121855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/06/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
Molecular heterogeneity has great significance in the disease biology of multiple myeloma (MM). Thus, the analysis combined single-cell RNA-seq (scRNA-seq) and bulk RNA-seq data were performed to investigate the clonal evolution characteristics and to find novel prognostic targets in MM. The scRNA-seq data were analyzed by the Seurat pipeline and Monocle 2 to identify MM cell branches with different differentiation states. Marker genes in each branch were uploaded to the STRING database to construct the Protein-Protein Interaction (PPI) network, followed by the detection of hub genes by Cytoscape software. Using bulk RNA-seq data, Kaplan-Meier (K-M) survival analysis was then carried out to determine prognostic biomarkers in MM. A total of 342 marker genes in two branches with different differentiation states were identified, and the top 20 marker genes with the highest scores in the network calculated by the MCC algorithm were selected as hub genes in MM. Furthermore, K-M survival analysis revealed that higher NDUFB8, COX6C, NDUFA6, USMG5, and COX5B expression correlated closely with a worse prognosis in MM patients. Moreover, ssGSEA and Pearson analyses showed that their expression had a significant negative correlation with the proportion of Tcm (central memory cell) immune cells. Our findings identified NDUFB8, COX6C, NDUFA6, USMG5, and COX5B as novel prognostic biomarkers in MM, and also revealed the significance of genetic heterogeneity during cell differentiation in MM prognosis.
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Zhu S, Xing C, Zhang G, Peng H, Wang Z. CC1007, a small molecular compound, suppresses multiple myeloma via upregulation of Nur77. Bioorg Chem 2022; 129:106217. [PMID: 36283176 DOI: 10.1016/j.bioorg.2022.106217] [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: 08/11/2022] [Revised: 09/20/2022] [Accepted: 10/16/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Multiple myeloma (MM) is a hematological malignancy of plasma cells characterized by the production of monoclonal immunoglobulin protein. Despite significant advances in the treatment of MM, it remains an incurable disorder owing to its resistance to chemotherapy and refractory nature. Inhibitors of histone deacetylases (HDACIs) have been identified as promising therapeutic drugs for cancer treatment. At present, numerous HDACIs are under study for the treatment of MM in monotherapy or in conjunction with other agents. OBJECTIVES In the present study, we investigated the anti-MM effect of CC1007, which was designed to indirectly inhibit class IIa HDACs by binding to myocyte enhancer factor-2 (MEF2) and blocking the targets regulated by the HDAC-MEF2 complex. DESIGN The effect of CC1007 on human MM cell lines, namely U266 and MM1.S, and CD138+ cells collected from the bone marrow of patients with MM was evaluated. METHODS The cells were subjected to growth-inhibition assay, apoptosis assay, cell cycle analysis, real-time PCR, western blotting, immunofluorescence, co-immunoprecipitation, ChIP assay, and siRNA transfection. Statistical differences were compared using two-tailed t tests or one-way analysis of variance followed by the Bonferroni post hoc test. RESULTS CC1007 inhibited the proliferation of MM cell lines and primary MM cells and induced their apoptosis and cell cycle arrest. Furthermore, CC1007 decreased the expression of MEF2C and HDAC7, thereby disturbing their interaction and promoting the overexpression of Nur77, a target of MEF2C. The overexpression of Nur77 and its translocation from the nucleus to the cytoplasm resulted in its binding to B-cell lymphoma 2 on the mitochondrial surface, thereby inducing the release of cytochrome C and activating the mitochondrial apoptotic pathway. CONCLUSIONS Since CC1007 demonstrates remarkable anti-MM effect on MM cells, it may be a promising drug for the treatment of MM.
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Affiliation(s)
- Shicong Zhu
- Department of Geriatrics, The Second Xiangya Hospital, Central South University, Changsha, China; Institute of Molecular Hematology, Central South University, Changsha, China
| | - Cheng Xing
- Institute of Molecular Hematology, Central South University, Changsha, China; Department of Hematology, The Second Xiangya Hospital, Central South University, Changsha, China; Hunan Engineering Research Center of Cell Immunotherapy for Hematopoietic Malignancies, Changsha, China
| | - Guangsen Zhang
- Institute of Molecular Hematology, Central South University, Changsha, China; Department of Hematology, The Second Xiangya Hospital, Central South University, Changsha, China; Hunan Engineering Research Center of Cell Immunotherapy for Hematopoietic Malignancies, Changsha, China
| | - Hongling Peng
- Institute of Molecular Hematology, Central South University, Changsha, China; Department of Hematology, The Second Xiangya Hospital, Central South University, Changsha, China; Hunan Engineering Research Center of Cell Immunotherapy for Hematopoietic Malignancies, Changsha, China
| | - Zhihua Wang
- Institute of Molecular Hematology, Central South University, Changsha, China; Department of Hematology, The Second Xiangya Hospital, Central South University, Changsha, China; Hunan Engineering Research Center of Cell Immunotherapy for Hematopoietic Malignancies, Changsha, China.
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Dual Negativity of CD56 and CD117 Links to Unfavorable Cytogenetic Abnormalities and Predicts Poor Prognosis in Multiple Myeloma. J Clin Med 2022; 11:jcm11216524. [DOI: 10.3390/jcm11216524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/22/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022] Open
Abstract
The prognostic value of CD56 and CD117 expression on myeloma cells is controversial. This study aims to analyze the correlation of CD56 and CD117 expression with cytogenetic abnormalities and survival. A total of 128 patients with newly diagnosed multiple myeloma (NDMM) were recruited in this single-center retrospective study. Flow cytometry and FISH tests of marrow cells were performed for all of the subjects. The statistical methods included a chi-squared test, univariate and multivariate COX regressions, and a Kaplan-Meier survival curve analysis. Regarding the cytogenetics, the incidence of IgH/FGFR3 translocation was more frequent in patients with a negative CD56 (p = 0.003). CD56 negativity was an independent adverse factor associated with a poor prognosis (p = 0.019) and indicated a shorter overall survival (OS) (p = 0.021). Patients with dual negative CD56 and CD117 trended toward a poorer OS (CD56−CD117− vs. CD56+CD117−, p = 0.011; CD56−CD117− vs. CD56+CD117+, p = 0.013). In conclusion, CD56 is a prognostic marker that independently affects OS and is associated with adverse cytogenetic abnormalities. Patients with a dual negativity of CD56 and CD117 have a worse clinical outcome.
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Fu B, Shao R, Wang H, Chen G, Bai S, Wang H. Integrated assessment of the clinical and biological value of ferroptosis-related genes in multiple myeloma. Cancer Cell Int 2022; 22:326. [PMID: 36274128 PMCID: PMC9588243 DOI: 10.1186/s12935-022-02742-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 10/03/2022] [Indexed: 11/28/2022] Open
Abstract
Background Ferroptosis is an iron-dependent mode of cell death that could be induced by erastin and exert antitumor effects. However, the clinical and biological roles of ferroptosis-related gene (FRG) signature and the therapeutic value of erastin in multiple myeloma (MM) remained unknown. Methods Clinical and gene expression data of MM subjects were extracted from the Gene Expression Omnibus (GEO) public database. Univariable cox analysis was applied to determine FRGs related to survival and the least absolute shrinkage and selection operator (LASSO) regression analysis was used to develop a prognostic model. Prediction accuracy of the model was estimated by receiver operating characteristic (ROC) curves. Functional pathway enrichments and infiltrating immune status were also analyzed. We conducted in vitro experiments to investigate the combination therapy of erastin and doxorubicin. Results 17 FRGs were strongly associated with patient survival and 11 genes were identified to construct the prognostic model. ROC curves indicated great predictive sensitivity and specificity of the model in all cohorts. Patients were divided into low- and high-risk groups by median risk score in each cohort and the survival of the low-risk group was significantly superior than that of the high-risk group. We also observed a close relevance between functional pathways and immune infiltration with risk scores. Moreover, we combined erastin and doxorubicin in our in vitro experiments and found synergetic antitumor effects of the two agents, and the underlying mechanism is the overgeneration of intracellular Reactive Oxygen Species (ROS). Conclusions We demonstrated the important value of ferroptosis in patient prognosis and as a potential antitumor target for MM. Supplementary Information The online version contains supplementary material available at 10.1186/s12935-022-02742-4.
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Campo E, Jaffe ES, Cook JR, Quintanilla-Martinez L, Swerdlow SH, Anderson KC, Brousset P, Cerroni L, de Leval L, Dirnhofer S, Dogan A, Feldman AL, Fend F, Friedberg JW, Gaulard P, Ghia P, Horwitz SM, King RL, Salles G, San-Miguel J, Seymour JF, Treon SP, Vose JM, Zucca E, Advani R, Ansell S, Au WY, Barrionuevo C, Bergsagel L, Chan WC, Cohen JI, d'Amore F, Davies A, Falini B, Ghobrial IM, Goodlad JR, Gribben JG, Hsi ED, Kahl BS, Kim WS, Kumar S, LaCasce AS, Laurent C, Lenz G, Leonard JP, Link MP, Lopez-Guillermo A, Mateos MV, Macintyre E, Melnick AM, Morschhauser F, Nakamura S, Narbaitz M, Pavlovsky A, Pileri SA, Piris M, Pro B, Rajkumar V, Rosen ST, Sander B, Sehn L, Shipp MA, Smith SM, Staudt LM, Thieblemont C, Tousseyn T, Wilson WH, Yoshino T, Zinzani PL, Dreyling M, Scott DW, Winter JN, Zelenetz AD. The International Consensus Classification of Mature Lymphoid Neoplasms: a report from the Clinical Advisory Committee. Blood 2022; 140:1229-1253. [PMID: 35653592 PMCID: PMC9479027 DOI: 10.1182/blood.2022015851] [Citation(s) in RCA: 487] [Impact Index Per Article: 243.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/18/2022] [Indexed: 11/20/2022] Open
Abstract
Since the publication of the Revised European-American Classification of Lymphoid Neoplasms in 1994, subsequent updates of the classification of lymphoid neoplasms have been generated through iterative international efforts to achieve broad consensus among hematopathologists, geneticists, molecular scientists, and clinicians. Significant progress has recently been made in the characterization of malignancies of the immune system, with many new insights provided by genomic studies. They have led to this proposal. We have followed the same process that was successfully used for the third and fourth editions of the World Health Organization Classification of Hematologic Neoplasms. The definition, recommended studies, and criteria for the diagnosis of many entities have been extensively refined. Some categories considered provisional have now been upgraded to definite entities. Terminology for some diseases has been revised to adapt nomenclature to the current knowledge of their biology, but these modifications have been restricted to well-justified situations. Major findings from recent genomic studies have impacted the conceptual framework and diagnostic criteria for many disease entities. These changes will have an impact on optimal clinical management. The conclusions of this work are summarized in this report as the proposed International Consensus Classification of mature lymphoid, histiocytic, and dendritic cell tumors.
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Affiliation(s)
- Elias Campo
- Haematopathology Section, Hospital Clínic of Barcelona, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Centro de Investigación Biomédica en Red de Cancer (CIBERONC), Barcelona, Spain
| | - Elaine S Jaffe
- Hematopathology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - James R Cook
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Steven H Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA
| | | | - Pierre Brousset
- Department of Pathology, Institut Universitaire du Cancer de Toulouse-Oncopole, and Laboratoire d'Excellence Toulouse Cancer, Toulouse, France
| | - Lorenzo Cerroni
- Department of Dermatology, Medical University of Graz, Graz, Austria
| | - Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ahmet Dogan
- Laboratory of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew L Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Falko Fend
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | | | - Philippe Gaulard
- Department of Pathology, University Hospital Henri Mondor, Assistance Publique-Hôpitaux de Paris (AP-HP), Créteil, France
- Mondor Institute for Biomedical Research, INSERM U955, Faculty of Medicine, University of Paris-Est Créteil, Créteil, France
| | - Paolo Ghia
- Strategic Research Program on Chronic Lymphocytic Leukemia, Division of Experimental Oncology, IRCCS Ospedale San Raffaele and Università Vita-Salute San Raffaele, Milan, Italy
| | - Steven M Horwitz
- Lymphoma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Rebecca L King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Gilles Salles
- Lymphoma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jesus San-Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Instituto de Investigación Sanitaria de Navarra, CIBERONC, Pamplona, Spain
| | - John F Seymour
- Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | | | - Julie M Vose
- Division of Hematology-Oncology, Department of Internal Medicine, University of Nebraska Medical Center, University of Nebraska, Omaha, NE
| | - Emanuele Zucca
- Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, and Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Ranjana Advani
- Stanford Cancer Center, Blood and Marrow Transplant Program, Stanford University, Stanford, CA
| | - Stephen Ansell
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Wing-Yan Au
- Blood-Med Clinic, Hong Kong, People's Republic of China
| | - Carlos Barrionuevo
- Department of Pathology, Instituto Nacional de Enfermedades Neoplásicas, Faculty of Medicine, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Phoenix, AZ
| | - Wing C Chan
- Department of Pathology, City of Hope National Medical Center, Duarte, CA
| | - Jeffrey I Cohen
- Medical Virology Section, Laboratory of Infectious Diseases, National Institutes of Health, National Institute of Allergy and Infectious Diseases, Bethesda, MD
| | - Francesco d'Amore
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Andrew Davies
- Cancer Research UK Centre, Centre for Cancer Immunology, Faculty of Medicine, Southampton General Hospital, University of Southampton, Southampton, United Kingdom
| | - Brunangelo Falini
- Institute of Hematology and Center for Hemato-Oncology Research, Hospital of Perugia, University of Perugia , Perugia, Italy
| | - Irene M Ghobrial
- Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Harvard University, Boston, MA
| | - John R Goodlad
- National Health Service Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - John G Gribben
- Department of Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Eric D Hsi
- Department of Pathology, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC
| | - Brad S Kahl
- Oncology Division, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO
| | - Won-Seog Kim
- Hematology and Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Shaji Kumar
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | | | - Camille Laurent
- Department of Pathology, Institut Universitaire du Cancer de Toulouse-Oncopole, and Laboratoire d'Excellence Toulouse Cancer, Toulouse, France
| | - Georg Lenz
- Department of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Muenster, Germany
| | - John P Leonard
- Weill Department of Medicine, Weill Medical College, Cornell University, New York, NY
| | - Michael P Link
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, Stanford University School of Medicine, Stanford University, Stanford, CA
| | - Armando Lopez-Guillermo
- Department of Hematology, Hospital Clínic, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Maria Victoria Mateos
- Department of Hematology, Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Centro de Investigación del Cancer, Universidad de Salamanca, Salamanca, Spain
| | - Elizabeth Macintyre
- Laboratoire d'Onco-Hématologie, AP-HP, Hôpital Necker-Enfants Malades, Université de Paris Cité and Institut Necker-Enfants Malades, Paris, France
| | - Ari M Melnick
- Division of Hematology and Oncology, Weill Medical College, Cornell University, New York, NY
| | - Franck Morschhauser
- Department of Hematology, Centre Hospitalier Universitaire de Lille, University Lille, Lille, France
| | - Shigeo Nakamura
- Department of Pathology and Laboratory Medicine, Nagoya University Hospital, Nagoya, Japan
| | - Marina Narbaitz
- Department of Pathology, Instituto de Investigaciones Hematológicas, Academia Nacional de Medicina and Fundacion para combatir la leucemia (FUNDALEU), Buenos Aires, Argentina
| | - Astrid Pavlovsky
- Fundación para Combatir la Leucemia (FUNDALEU), Centro de Hematología Pavlovsky, Buenos Aires, Argentina
| | - Stefano A Pileri
- Haematopathology Division, IRCCS, Istituto Europeo di Oncologia, Milan, Italy
| | - Miguel Piris
- Jiménez Díaz Foundation University Hospital, Universidad Autónoma de Madrid, Madrid, Spain
| | - Barbara Pro
- Division of Hematology and Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Vincent Rajkumar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Steven T Rosen
- Beckman Research Institute, and Department of Hematology & Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA
| | - Birgitta Sander
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Laurie Sehn
- Centre for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada
| | | | - Sonali M Smith
- Section of Hematology/Oncology, University of Chicago, Chicago, IL
| | - Louis M Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Catherine Thieblemont
- Service Hémato-Oncologie, AP-HP, Hôpital Saint-Louis, Paris, France
- DMU-DHI, Université de Paris-Paris Diderot, Paris, France
| | - Thomas Tousseyn
- Department of Pathology, Universitair Ziekenhuis Leuven Hospitals, Leuven, Belgium
| | - Wyndham H Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Tadashi Yoshino
- Department of Pathology, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Pier-Luigi Zinzani
- Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seragnoli", Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italy
| | - Martin Dreyling
- Department of Medicine III, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - David W Scott
- Centre for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Jane N Winter
- Feinberg School of Medicine, Northwestern University, Chicago, IL; and
| | - Andrew D Zelenetz
- Lymphoma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Medical College, Cornell University, New York, NY
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Yi Z, Ma T, Liu J, Tie W, Li Y, Bai J, Li L, Zhang L. The yin–yang effects of immunity: From monoclonal gammopathy of undetermined significance to multiple myeloma. Front Immunol 2022; 13:925266. [PMID: 35958625 PMCID: PMC9357873 DOI: 10.3389/fimmu.2022.925266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 06/30/2022] [Indexed: 01/10/2023] Open
Abstract
Multiple myeloma (MM) is the third most common malignant neoplasm of the hematological system. It often develops from monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) precursor states. In this process, the immune microenvironment interacts with the MM cells to exert yin and yang effects, promoting tumor progression on the one hand and inhibiting it on the other. Despite significant therapeutic advances, MM remains incurable, and the main reason for this may be related to the complex and variable immune microenvironment. Therefore, it is crucial to investigate the dynamic relationship between the immune microenvironment and tumors, to elucidate the molecular mechanisms of different factors in the microenvironment, and to develop novel therapeutic agents targeting the immune microenvironment of MM. In this paper, we review the latest research progress and describe the dual influences of the immune microenvironment on the development and progression of MM from the perspective of immune cells and molecules.
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Affiliation(s)
- Zhigang Yi
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, China
- Department of Pediatric Orthopedics and Pediatrics Lanzhou University Second Hospital, Lanzhou, China
| | - Tao Ma
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, China
- Department of Hematology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jia Liu
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, China
| | - Wenting Tie
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, China
| | - Yanhong Li
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, China
| | - Jun Bai
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, China
| | - Lijuan Li
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, China
- *Correspondence: Lijuan Li, ; Liansheng Zhang,
| | - Liansheng Zhang
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, China
- *Correspondence: Lijuan Li, ; Liansheng Zhang,
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Neumeister P, Schulz E, Pansy K, Szmyra M, Deutsch AJA. Targeting the Microenvironment for Treating Multiple Myeloma. Int J Mol Sci 2022; 23:ijms23147627. [PMID: 35886976 PMCID: PMC9317002 DOI: 10.3390/ijms23147627] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/28/2022] [Accepted: 07/01/2022] [Indexed: 12/23/2022] Open
Abstract
Multiple myeloma (MM) is a malignant, incurable disease characterized by the expansion of monoclonal terminally differentiated plasma cells in the bone marrow. MM is consistently preceded by an asymptomatic monoclonal gammopathy of undetermined significance, and in the absence of myeloma defining events followed by a stage termed smoldering multiple myeloma (SMM), which finally progresses to active myeloma if signs of organ damage are present. The reciprocal interaction between tumor cells and the tumor microenvironment plays a crucial role in the development of MM and the establishment of a tumor-promoting stroma facilitates tumor growth and myeloma progression. Since myeloma cells depend on signals from the bone marrow microenvironment (BMME) for their survival, therapeutic interventions targeting the BMME are a novel and successful strategy for myeloma care. Here, we describe the complex interplay between myeloma cells and the cellular components of the BMME that is essential for MM development and progression. Finally, we present BMME modifying treatment options such as anti-CD38 based therapies, immunomodulatory drugs (IMiDs), CAR T-cell therapies, bispecific antibodies, and antibody-drug conjugates which have significantly improved the long-term outcome of myeloma patients, and thus represent novel therapeutic standards.
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Affiliation(s)
- Peter Neumeister
- Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036 Graz, Austria; (E.S.); (K.P.); (M.S.); (A.J.D.)
- Correspondence:
| | - Eduard Schulz
- Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036 Graz, Austria; (E.S.); (K.P.); (M.S.); (A.J.D.)
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Katrin Pansy
- Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036 Graz, Austria; (E.S.); (K.P.); (M.S.); (A.J.D.)
| | - Marta Szmyra
- Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036 Graz, Austria; (E.S.); (K.P.); (M.S.); (A.J.D.)
| | - Alexander JA Deutsch
- Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036 Graz, Austria; (E.S.); (K.P.); (M.S.); (A.J.D.)
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Mazzocchetti G, Poletti A, Solli V, Borsi E, Martello M, Vigliotta I, Armuzzi S, Taurisano B, Zamagni E, Cavo M, Terragna C. BoBafit: a copy number clustering tool designed to refit and recalibrate the baseline region of tumors’ profiles. Comput Struct Biotechnol J 2022; 20:3718-3728. [PMID: 35891790 PMCID: PMC9294200 DOI: 10.1016/j.csbj.2022.06.062] [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: 04/21/2022] [Revised: 06/28/2022] [Accepted: 06/28/2022] [Indexed: 11/16/2022] Open
Abstract
Tools generating CN profiles derive the baseline region from samples’ median CN signal. This canonical approach might cause wrongly estimated CN profile in complex karyotypes. CNAs call is crucial for patients’ risk stratification aimed at personalized treatment. BoBafit computes the correct baseline region and the CN profile, taking into account tumor genomic complexity and samples-specific alterations. BoBafit should be implemented within CN analysis pipelines especially for clinical aims.
Human cancer arises from a population of cells that have acquired a wide range of genetic alterations, most of which are targets of therapeutic treatments or are used as prognostic factors for patient’s risk stratification. Among these, copy number alterations (CNAs) are quite frequent. Currently, several molecular biology technologies, such as microarrays, NGS and single-cell approaches are used to define the genomic profile of tumor samples. Output data need to be analyzed with bioinformatic approaches and particularly by employing computational algorithms. Molecular biology tools estimate the baseline region by comparing either the mean probe signals, or the number of reads to the reference genome. However, when tumors display complex karyotypes, this type of approach could fail the baseline region estimation and consequently cause errors in the CNAs call. To overcome this issue, we designed an R-package, BoBafit, able to check and, eventually, to adjust the baseline region, according to both the tumor-specific alterations’ context and the sample-specific clustered genomic lesions. Several databases have been chosen to set up and validate the designed package, thus demonstrating the potential of BoBafit to adjust copy number (CN) data from different tumors and analysis techniques. Relevantly, the analysis highlighted that up to 25% of samples need a baseline region adjustment and a redefinition of CNAs calls, thus causing a change in the prognostic risk classification of the patients. We support the implementation of BoBafit within CN analysis bioinformatics pipelines to ensure a correct patient’s stratification in risk categories, regardless of the tumor type.
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45
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Wu B, Wang F, Wang Y, Deng X, Wu W. CircATIC Contributes to Multiple Myeloma Progression via miR-324-5p-Dependent Regulation of HGF. Biochem Genet 2022; 60:2515-2532. [PMID: 35579772 DOI: 10.1007/s10528-022-10228-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/18/2022] [Indexed: 11/02/2022]
Abstract
Circular RNA (circRNA) 5-aminoimidazole-4-carboxamide ribonucleotide formyltransferase/IMP cyclohydrolase (circATIC; hsa_circ_0058058) was observed to be upregulated in multiple myeloma (MM) by former article. However, the function and exact mechanism of circATIC in MM development remain barely known. CircRNA-microRNA (miRNA)-messenger RNA (mRNA) axis was established through using bioinformatic databases (starbase, Circinteractome, and microT-CDS). Dual-luciferase reporter assay, RNA immunoprecipitation assay, and RNA-pull down assay were utilized to verify the target relationship between microRNA-324-5p (miR-324-5p) and circATIC or hepatocyte growth factor (HGF). CircATIC expression was upregulated in MM patients and cell lines. CircATIC interference notably hampered cell proliferation, migration, invasion, and glycolysis and induced cell apoptosis of MM cells. MiR-324-5p was a target of circATIC. CircATIC silencing-mediated effects in MM cells were largely overturned by the knockdown of miR-324-5p. HGF was a target of miR-324-5p, and circATIC upregulated the expression of HGF partly through sponging miR-324-5p in MM cells. MiR-324-5p suppressed the malignant behaviors of MM cells, which were largely counteracted by the overexpression of HGF in MM cells. CircATIC accelerated the proliferation, migration, invasion, and glycolysis and suppressed the apoptosis of MM cells through mediating miR-324-5p/HGF signaling.
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Affiliation(s)
- Bin Wu
- Department of Orthopedics, ShangRao People's Hospital, Shangrao, China
| | - Fang Wang
- Department of Pharmacology, Jiangxi Medical College, Jiangnan Garden, Shuinan street, Xinzhou District, Shangrao, 334000, Jiangxi, China.
| | - Yuehua Wang
- Department of Orthopedics, ShangRao People's Hospital, Shangrao, China
| | - Xianchao Deng
- Department of Orthopedics, ShangRao People's Hospital, Shangrao, China
| | - Wangwei Wu
- Department of Mathematics, Sun Yat-Sen University, Guangzhou, China
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46
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Tuerxun N, Wang J, Qin YT, Zhao F, Wang H, Qu JH, Uddin MN, Hao JP. Identification of key genes and miRNA-mRNA regulatory networks associated with bone marrow immune microenvironment regulations in multiple myeloma by integrative bioinformatics analysis. Hematology 2022; 27:506-517. [PMID: 35536760 DOI: 10.1080/16078454.2022.2068873] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The deregulation of microRNAs (miRNAs) and genes in the bone marrow microenvironment have been involved with the pathogenesis of multiple myeloma (MM). However, the exploration of miRNA-mRNA regulatory networks in MM remains lacking. We used GSE125363, GSE125361, GSE47552, GSE2658, GSE136324, GSE16558, and GSE13591 datasets for this bioinformatics study. We identified 156 downregulated and 13 upregulated differentially expressed miRNAs (DEmiRs) in MM. The DEmiRs are associated with the enrichment of pathways mainly involved with cancers, cellular signaling, and immune regulations. We identified 112 hub genes associated with five significant clusters in MM. Moreover, we identified 9 upregulated hub genes (such as IGF1, RPS28, UBA52, CDKN1A, and CDKN2A) and 52 downregulated hub genes (such as TP53, PCNA, BRCA1, CCNB1, and MSH2) in MM that is targeted by DEmiRs. The expression of DEmiRs targeted two hub genes (CDKN2A and TP53) are correlated with the survival prognosis of MM patients. Furthermore, the expression level of CDKN2A is correlated with immune signatures, including CD4+ Regulatory T cells, T cell exhaustion, MHC Class I, immune checkpoint genes, macrophages, neutrophils, and TH2 cells in the TME of MM. Finally, we revealed the consistently deregulated expression level of key gene CDKN2A and its co-regulatory DEmiRs, including hsa-mir-192, hsa-mir-10b, hsa-mir-492, and hsa-mir-24 in the independent cohorts of MM. Identifying key genes and miRNA-mRNA regulatory networks may provide new molecular insights into the tumor immune microenvironment in MM.
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Affiliation(s)
- Niluopaer Tuerxun
- Department of Hematology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Jie Wang
- Department of Pharmacy, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.,School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, People's Republic of China
| | - Yu-Ting Qin
- Department of Hematology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Fang Zhao
- Department of Hematology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Huan Wang
- Department of Hematology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Jian-Hua Qu
- Department of Hematology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Md Nazim Uddin
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, People's Republic of China
| | - Jian-Ping Hao
- Department of Hematology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
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47
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Hanamura I. Multiple myeloma with high-risk cytogenetics and its treatment approach. Int J Hematol 2022; 115:762-777. [PMID: 35534749 PMCID: PMC9160142 DOI: 10.1007/s12185-022-03353-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/11/2022] [Accepted: 04/11/2022] [Indexed: 12/13/2022]
Abstract
Despite substantial advances in anti-myeloma treatments, early recurrence and death remain an issue in certain subpopulations. Cytogenetic abnormalities (CAs) are the most widely accepted predictors for poor prognosis in multiple myeloma (MM), such as t(4;14), t(14;16), t(14;20), gain/amp(1q21), del(1p), and del(17p). Co-existing high-risk CAs (HRCAs) tend to be associated with an even worse prognosis. Achievement of sustained minimal residual disease (MRD)-negativity has recently emerged as a surrogate for longer survival, regardless of cytogenetic risk. Information from newer clinical trials suggests that extended intensified treatment can help achieve MRD-negativity in patients with HRCAs, which may lead to improved outcomes. Therapy should be considered to include a 3- or 4-drug induction regimen (PI/IMiD/Dex or PI/IMiD/Dex/anti-CD38 antibody), auto-transplantation, and consolidation/maintenance with lenalidomide ± a PI. Results from ongoing clinical trials for enriched high-risk populations will reveal the precise efficacy of the investigated regimens. Genetic abnormalities of MM cells are intrinsic critical factors determining tumor characteristics, which reflect the natural course and drug sensitivity of the disease. This paper reviews the clinicopathological features of genomic abnormalities related to adverse prognosis, focusing on HRCAs that are the most relevant in clinical practice, and outline current optimal therapeutic approaches for newly diagnosed MM with HRCAs.
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Affiliation(s)
- Ichiro Hanamura
- Division of Hematology, Department of Internal Medicine, Aichi Medical University, 1 Karimata, Yazako, Nagakute, Aichi, 480-1195, Japan.
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48
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Trasanidis N, Katsarou A, Ponnusamy K, Shen YA, Kostopoulos IV, Bergonia B, Keren K, Reema P, Xiao X, Szydlo RM, Sabbattini PMR, Roberts IAG, Auner HW, Naresh KN, Chaidos A, Wang TL, Magnani L, Caputo VS, Karadimitris A. Systems medicine dissection of chr1q-amp reveals a novel PBX1-FOXM1 axis for targeted therapy in multiple myeloma. Blood 2022; 139:1939-1953. [PMID: 35015835 DOI: 10.1182/blood.2021014391] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 12/20/2021] [Indexed: 11/20/2022] Open
Abstract
Understanding the biological and clinical impact of copy number aberrations (CNAs) on the development of precision therapies in cancer remains an unmet challenge. Genetic amplification of chromosome 1q (chr1q-amp) is a major CNA conferring an adverse prognosis in several types of cancer, including in the blood cancer multiple myeloma (MM). Although several genes across chromosome 1 (chr1q) portend high-risk MM disease, the underpinning molecular etiology remains elusive. Here, with reference to the 3-dimensional (3D) chromatin structure, we integrate multi-omics data sets from patients with MM with genetic variables to obtain an associated clinical risk map across chr1q and to identify 103 adverse prognosis genes in chr1q-amp MM. Prominent among these genes, the transcription factor PBX1 is ectopically expressed by genetic amplification and epigenetic activation of its own preserved 3D regulatory domain. By binding to reprogrammed superenhancers, PBX1 directly regulates critical oncogenic pathways and a FOXM1-dependent transcriptional program. Together, PBX1 and FOXM1 activate a proliferative gene signature that predicts adverse prognosis across multiple types of cancer. Notably, pharmacological disruption of the PBX1-FOXM1 axis with existing agents (thiostrepton) and a novel PBX1 small molecule inhibitor (T417) is selectively toxic against chr1q-amp myeloma and solid tumor cells. Overall, our systems medicine approach successfully identifies CNA-driven oncogenic circuitries, links them to clinical phenotypes, and proposes novel CNA-targeted therapy strategies in MM and other types of cancer.
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Affiliation(s)
- Nikolaos Trasanidis
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Alexia Katsarou
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Foundation Trust, London, United Kingdom
| | - Kanagaraju Ponnusamy
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Yao-An Shen
- Department of Pathology
- Department of Oncology
- Department of Gynecology and Obstetrics, and
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pathology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ioannis V Kostopoulos
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
- Department of Biology, School of Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Bien Bergonia
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Keren Keren
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Paudel Reema
- Imperial Experimental Cancer Medicine Centre and Cancer Research UK Imperial Centre, London, United Kingdom
| | - Xiaolin Xiao
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Richard M Szydlo
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Pierangela M R Sabbattini
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Irene A G Roberts
- Department of Paediatrics and Medical Research Council Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, Oxford University, Oxford, United Kingdom
- Oxford Biomedical Research Centre Blood Theme, National Institute for Health Research Oxford Biomedical Centre, Oxford, United Kingdom
| | - Holger W Auner
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Foundation Trust, London, United Kingdom
| | - Kikkeri N Naresh
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Foundation Trust, London, United Kingdom
- Imperial Experimental Cancer Medicine Centre and Cancer Research UK Imperial Centre, London, United Kingdom
| | - Aristeidis Chaidos
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Foundation Trust, London, United Kingdom
| | - Tian-Li Wang
- Department of Pathology
- Department of Oncology
- Department of Gynecology and Obstetrics, and
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Luca Magnani
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom; and
| | - Valentina S Caputo
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
- Cancer Biology and Therapy Laboratory, School of Applied Science, London South Bank University, London, United Kingdom
| | - Anastasios Karadimitris
- Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Foundation Trust, London, United Kingdom
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49
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Hofste Op Bruinink D, Kuiper R, van Duin M, Cupedo T, van der Velden VHJ, Hoogenboezem R, van der Holt B, Beverloo HB, Valent ET, Vermeulen M, Gay F, Broijl A, Avet-Loiseau H, Munshi NC, Musto P, Moreau P, Zweegman S, van de Donk NWCJ, Sonneveld P. Identification of High-Risk Multiple Myeloma With a Plasma Cell Leukemia-Like Transcriptomic Profile. J Clin Oncol 2022; 40:3132-3150. [PMID: 35357885 PMCID: PMC9509081 DOI: 10.1200/jco.21.01217] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Primary plasma cell leukemia (pPCL) is an aggressive subtype of multiple myeloma, which is distinguished from newly diagnosed multiple myeloma (NDMM) on the basis of the presence of ≥ 20% circulating tumor cells (CTCs). A molecular marker for pPCL is currently lacking, which could help identify NDMM patients with high-risk PCL-like disease, despite not having been recognized as such clinically.
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Affiliation(s)
- Davine Hofste Op Bruinink
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.,Department of Immunology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Rowan Kuiper
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.,SkylineDx, Rotterdam, the Netherlands
| | - Mark van Duin
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Tom Cupedo
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | | | - Remco Hoogenboezem
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Bronno van der Holt
- HOVON Data Center, Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - H Berna Beverloo
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | | | - Michael Vermeulen
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Francesca Gay
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Annemiek Broijl
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | | | - Nikhil C Munshi
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Pellegrino Musto
- "Aldo Moro" University School of Medicine, Unit of Hematology and Stem Cell Transplantation, AOUC Policlinico, Bari, Italy
| | - Philippe Moreau
- Hematology Department, University Hospital Hôtel-Dieu, Nantes, France
| | - Sonja Zweegman
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Niels W C J van de Donk
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
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50
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Serizawa K, Tanaka H, Ueda T, Fukui A, Kakutani H, Taniguchi T, Inoue H, Kumode T, Taniguchi Y, Rai S, Hirase C, Morita Y, Espinoza JL, Tatsumi Y, Ashida T, Matsumura I. CD34 + myeloma cells with self-renewal activities are therapy-resistant and persist as MRD in cell cycle quiescence. Int J Hematol 2022; 115:336-349. [PMID: 35133572 DOI: 10.1007/s12185-021-03261-0] [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: 09/20/2021] [Revised: 11/12/2021] [Accepted: 11/12/2021] [Indexed: 01/13/2023]
Abstract
Side population (SP) is known to include therapy-resistant cells in various cancers. Here, we analyzed SP using multiple myeloma (MM) samples. The SP accounted for 2.96% in MM cells from newly diagnosed MM (NDMM). CD34 was expressed in 47.8% of SP cells, but only in 2.11% of bulk MM cells. CD34+ MM cells expressed more immature cell surface markers and a gene signature than CD34- MM cells. CD34+ but not CD34- MM cells possessed clonogenic activities and showed long-term self-renewal activities in xenotransplantation assays. Similarly, whereas 2.20% of MM cells were CD34+ in NDMM (n = 38), this proportion increased to 42.6% in minimal residual disease (MRD) samples (n = 16) (p < 0.001) and to 17.7% in refractory/relapsed MM (RRMM) (n = 30) (p < 0.01). Cell cycle analysis showed that 24.7% of CD34+ MM cells from NDMM were in G0 phase while this proportion was 54.9% in MRD (p < 0.05) and 14.5% in RRMM, reflecting the expansion of MM. Together, CD34+ MM cells with long-term self-renewal activities persist as MRD in cell cycle quiescence or remain as therapy-resistant cells in RRMM, substantiating the necessity of targeting this population to improve clinical outcomes of MM.
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Affiliation(s)
- Kentaro Serizawa
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Hirokazu Tanaka
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan.
| | - Takeshi Ueda
- Department of Biochemistry, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Ayano Fukui
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Hiroaki Kakutani
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Takahide Taniguchi
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Hiroaki Inoue
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Takahiro Kumode
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Yasuhiro Taniguchi
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Shinya Rai
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Chikara Hirase
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Yasuyoshi Morita
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - J Luis Espinoza
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Yoichi Tatsumi
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Takashi Ashida
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
| | - Itaru Matsumura
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, 377-2, Ohno-higashi, Osaka-sayama, Osaka, Japan
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