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Lazzaroni F, Matera A, Marella A, Maeda A, Castellano G, Marchetti A, Fabris S, Pioggia S, Silvestris I, Ronchetti D, Lonati S, Fabbiano G, Traini V, Taiana E, Porretti L, Colombo F, De Magistris C, Scopetti M, Barbieri M, Pettine L, Torricelli F, Neri A, Passamonti F, Lionetti M, Da Vià MC, Bolli N. Inference of genomic lesions from single-cell RNA-seq in myeloma improves functional intraclonal and interclonal analysis. Blood Adv 2024; 8:3972-3984. [PMID: 38830132 DOI: 10.1182/bloodadvances.2023012409] [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: 12/13/2023] [Revised: 04/30/2024] [Accepted: 05/23/2024] [Indexed: 06/05/2024] Open
Abstract
ABSTRACT Smoldering multiple myeloma (SMM) is an asymptomatic plasma cell (PC) neoplasm that may evolve with variable frequency into multiple myeloma (MM). SMM is initiated by chromosomal translocations involving the immunoglobulin heavy-chain locus or by hyperdiploidy and evolves through acquisition of additional genetic lesions. In this scenario, we aimed at establishing a reliable analysis pipeline to infer genomic lesions from transcriptomic analysis, by combining single-cell RNA sequencing (scRNA-seq) with B-cell receptor sequencing and copy number abnormality (CNA) analysis to identify clonal PCs at the genetic level along their specific transcriptional landscape. We profiled 20 465 bone marrow PCs derived from 5 patients with SMM/MM and unbiasedly identified clonal and polyclonal PCs. Hyperdiploidy, t(11;14), and t(6;14) were identified at the scRNA level by analysis of chimeric reads. Subclone functional analysis was improved by combining transcriptome with CNA analysis. As examples, we illustrate the different functional properties of a light-chain escape subclone in SMM and of different B-cell and PC subclones in a patient affected by Wäldenstrom macroglobulinemia and SMM. Overall, our data provide a proof of principle for inference of clinically relevant genotypic data from scRNA-seq, which in turn will refine functional annotation of the clonal architecture of PC dyscrasias.
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Affiliation(s)
- Francesca Lazzaroni
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Antonio Matera
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Alessio Marella
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Akihiro Maeda
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giancarlo Castellano
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Alfredo Marchetti
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Sonia Fabris
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Stefania Pioggia
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Ilaria Silvestris
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Domenica Ronchetti
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Silvia Lonati
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Giuseppina Fabbiano
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Valentina Traini
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Elisa Taiana
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Laura Porretti
- Flow Cytometry Laboratory, Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Federico Colombo
- Flow Cytometry Laboratory, Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Claudio De Magistris
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Margherita Scopetti
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Marzia Barbieri
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Loredana Pettine
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Federica Torricelli
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Antonino Neri
- Scientific Directorate, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Francesco Passamonti
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Marta Lionetti
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Matteo Claudio Da Vià
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Niccolò Bolli
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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2
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Yıldırım Akdeniz G, Timuçin AC. Structure based computational RNA design towards MafA transcriptional repressor implicated in multiple myeloma. J Mol Graph Model 2024; 132:108839. [PMID: 39096645 DOI: 10.1016/j.jmgm.2024.108839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 07/24/2024] [Accepted: 07/29/2024] [Indexed: 08/05/2024]
Abstract
Multiple myeloma is recognized as the second most common hematological cancer. MafA transcriptional repressor is an established mediator of myelomagenesis. While there are multitude of drugs available for targeting various effectors in multiple myeloma, current literature lacks a candidate RNA based MafA modulator. Thus, using the structure of MafA homodimer-consensus target DNA, a computational effort was implemented to design a novel RNA based chemical modulator against MafA. First, available MafA-consensus DNA structure was employed to generate an RNA library. This library was further subjected to global docking to select the most plausible RNA candidates, preferring to bind DNA binding region of MafA. Following global docking, MD-ready complexes that were prepared via local docking program, were subjected to 500 ns of MD simulations. First, each of these MD simulations were analyzed for relative binding free energy through MM-PBSA method, which pointed towards a strong RNA based MafA binder, RNA1. Second, through a detailed MD analysis, RNA1 was shown to prefer binding to a single monomer of the dimeric DNA binding domain of MafA using higher number of hydrophobic interactions compared with positive control MafA-DNA complex. At the final phase, a principal component analyses was conducted, which led us to identify the actual interaction region of RNA1 and MafA monomer. Overall, to our knowledge, this is the first computational study that presents an RNA molecule capable of potentially targeting MafA protein. Furthermore, limitations of our study together with possible future implications of RNA1 in multiple myeloma were also discussed.
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Affiliation(s)
- Güneş Yıldırım Akdeniz
- Department of Molecular Biology, Genetics and Bioengineering, Faculty of Engineering and Natural Sciences, Sabancı University, 34956, Tuzla, İstanbul, Turkey.
| | - Ahmet Can Timuçin
- Department of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Acıbadem Mehmet Ali Aydınlar University, 34752, Ataşehir, İstanbul, Turkey.
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3
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Ng BD, Rajagopalan A, Kousa AI, Fischman JS, Chen S, Massa A, Elias HK, Manuele D, Galiano M, Lemarquis AL, Boardman AP, DeWolf S, Pierce J, Bogen B, James SE, van den Brink MRM. IL-18-secreting multiantigen targeting CAR T cells eliminate antigen-low myeloma in an immunocompetent mouse model. Blood 2024; 144:171-186. [PMID: 38579288 PMCID: PMC11302468 DOI: 10.1182/blood.2023022293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 04/07/2024] Open
Abstract
ABSTRACT Multiple myeloma is a plasma cell malignancy that is currently incurable with conventional therapies. Following the success of CD19-targeted chimeric antigen receptor (CAR) T cells in leukemia and lymphoma, CAR T cells targeting B-cell maturation antigen (BCMA) more recently demonstrated impressive activity in relapsed and refractory myeloma patients. However, BCMA-directed therapy can fail due to weak expression of BCMA on myeloma cells, suggesting that novel approaches to better address this antigen-low disease may improve patient outcomes. We hypothesized that engineered secretion of the proinflammatory cytokine interleukin-18 (IL-18) and multiantigen targeting could improve CAR T-cell activity against BCMA-low myeloma. In a syngeneic murine model of myeloma, CAR T cells targeting the myeloma-associated antigens BCMA and B-cell activating factor receptor (BAFF-R) failed to eliminate myeloma when these antigens were weakly expressed, whereas IL-18-secreting CAR T cells targeting these antigens promoted myeloma clearance. IL-18-secreting CAR T cells developed an effector-like T-cell phenotype, promoted interferon-gamma production, reprogrammed the myeloma bone marrow microenvironment through type-I/II interferon signaling, and activated macrophages to mediate antimyeloma activity. Simultaneous targeting of weakly-expressed BCMA and BAFF-R with dual-CAR T cells enhanced T-cell:target-cell avidity, increased overall CAR signal strength, and stimulated antimyeloma activity. Dual-antigen targeting augmented CAR T-cell secretion of engineered IL-18 and facilitated elimination of larger myeloma burdens in vivo. Our results demonstrate that combination of engineered IL-18 secretion and multiantigen targeting can eliminate myeloma with weak antigen expression through distinct mechanisms.
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Affiliation(s)
- Brandon D. Ng
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Pharmacology, Weill Cornell Medicine, New York, NY
| | - Adhithi Rajagopalan
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Anastasia I. Kousa
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Jacob S. Fischman
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- Immunology Graduate Group, University of Pennsylvania, Philadelphia, PA
| | - Sophia Chen
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alyssa Massa
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Harold K. Elias
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Dylan Manuele
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Michael Galiano
- Molecular Cytology Core, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andri L. Lemarquis
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alexander P. Boardman
- Lymphoma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Susan DeWolf
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jonah Pierce
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Immunology and Microbial Pathogenesis, Weill Cornell Medicine, New York, NY
| | | | - Scott E. James
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
- Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Marcel R. M. van den Brink
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- City of Hope Comprehensive Cancer Center, Duarte, CA
- Department of Immunology and Microbial Pathogenesis, Weill Cornell Medicine, New York, NY
- Department of Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
- Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center, New York, NY
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4
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Bolomsky A, Ceribelli M, Scheich S, Rinaldi K, Huang DW, Chakraborty P, Pham L, Wright GW, Hsiao T, Morris V, Choi J, Phelan JD, Holewinski RJ, Andresson T, Wisniewski J, Riley D, Pittaluga S, Hill E, Thomas CJ, Muppidi J, Young RM. IRF4 requires ARID1A to establish plasma cell identity in multiple myeloma. Cancer Cell 2024; 42:1185-1201.e14. [PMID: 38906156 PMCID: PMC11233249 DOI: 10.1016/j.ccell.2024.05.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/03/2024] [Accepted: 05/30/2024] [Indexed: 06/23/2024]
Abstract
Multiple myeloma (MM) is an incurable plasma cell malignancy that exploits transcriptional networks driven by IRF4. We employ a multi-omics approach to discover IRF4 vulnerabilities, integrating functional genomics screening, spatial proteomics, and global chromatin mapping. ARID1A, a member of the SWI/SNF chromatin remodeling complex, is required for IRF4 expression and functionally associates with IRF4 protein on chromatin. Deleting Arid1a in activated murine B cells disrupts IRF4-dependent transcriptional networks and blocks plasma cell differentiation. Targeting SWI/SNF activity leads to rapid loss of IRF4-target gene expression and quenches global amplification of oncogenic gene expression by MYC, resulting in profound toxicity to MM cells. Notably, MM patients with aggressive disease bear the signature of SWI/SNF activity, and SMARCA2/4 inhibitors remain effective in immunomodulatory drug (IMiD)-resistant MM cells. Moreover, combinations of SWI/SNF and MEK inhibitors demonstrate synergistic toxicity to MM cells, providing a promising strategy for relapsed/refractory disease.
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Affiliation(s)
- Arnold Bolomsky
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michele Ceribelli
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20892, USA
| | - Sebastian Scheich
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Kristina Rinaldi
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Da Wei Huang
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Papiya Chakraborty
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lisette Pham
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - George W Wright
- Biometric Research Branch, DCTD, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Tony Hsiao
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Vivian Morris
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jaewoo Choi
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - James D Phelan
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ronald J Holewinski
- Protein Mass Spectrometry Group, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21701, USA
| | - Thorkell Andresson
- Protein Mass Spectrometry Group, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21701, USA
| | - Jan Wisniewski
- Experimental Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Deanna Riley
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Stefania Pittaluga
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Elizabeth Hill
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Craig J Thomas
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20892, USA
| | - Jagan Muppidi
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ryan M Young
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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5
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Ho PJ, Moore E, Wellard C, Quach H, Blacklock H, Harrrison SJ, MacDonald EJ, McQuilten ZK, Wood EM, Mollee P, Spencer A. The impact of biomarkers of malignancy (IMWG SLiM criteria) in myeloma in a real-world population: Clinical characteristics, therapy and outcomes from the Australian and New Zealand Myeloma and Related Diseases Registry (ANZ MRDR). Br J Haematol 2024. [PMID: 38965706 DOI: 10.1111/bjh.19624] [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: 03/29/2024] [Accepted: 06/20/2024] [Indexed: 07/06/2024]
Abstract
A decade after International Myeloma Working Group (IMWG) biomarkers (SLiM criteria) were introduced, this real-world study examined their impact on diagnosis, therapy and outcomes in myeloma. Using the ANZ MRDR, 3489 newly diagnosed patients from 2013 to 2023, comprising 3232 diagnosed by CRAB ('CRAB patients', including 1758 who also satisfied ≥1 SLiM criteria) and 257 by SLiM ('SLiM patients') criteria were analysed. CRAB patients had higher R-ISS and lower performance status, with no difference in cytogenetic risk. SLiM patients had improved progression-free survival (PFS, 37.5 vs. 32.2 months, hazard ratio [HR] 1.31 [1.08-1.59], p = 0.003), overall survival (80.9 vs. 73.2 months, HR 1.64 [1.26-2.13], p < 0.001) and PFS2 (54.6 vs. 40.3 months, HR 1.51 [1.22-1.86], p < 0.001) compared with CRAB patients, partially explained by earlier diagnosis, with no differential impact between the plasma cell and light-chain criteria on PFS. However, 34% of CRAB patients did not manifest SLiM characteristics, raising the possibility that SLiM features are associated with different biological behaviours contributing to a better prognosis, for example, improved PFS2 in SLiM patients suggested less disease resistance at first relapse. These data support earlier initiation of therapy by SLiM. The superior survival outcomes of SLiM versus CRAB patients highlight the importance of defining these subgroups when interpreting therapeutic outcomes at induction and first relapse.
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Affiliation(s)
- P Joy Ho
- Institute of Haematology, Royal Prince Alfred Hospital and University of Sydney, Sydney, Australia
| | - Elizabeth Moore
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Cameron Wellard
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Hang Quach
- St. Vincent's Hospital, Melbourne and University of Melbourne, Melbourne, Australia
| | | | - Simon J Harrrison
- Clinical Haematology, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | | | - Zoe K McQuilten
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Erica M Wood
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Peter Mollee
- Princess Alexandra Hospital and University of Queensland, Brisbane, Australia
| | - Andrew Spencer
- Department of Haematology, The Alfred Hospital and Monash University, Melbourne, Australia
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6
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Katodritou E, Dalampira D, Delimpasi S, Ntanasis-Stathopoulos I, Karaolidou F, Gkioka AI, Labropoulou V, Spanoudakis E, Triantafyllou T, Kotsopoulou M, Michalis E, Vadikolia C, Papadopoulou T, Sevastoudi A, Michael M, Daiou A, Pentidou A, Kostopoulos I, Palaska V, Gavriatopoulou M, Kyrtsonis MC, Verrou E, Kastritis E, Dimopoulos MA, Terpos E. Central nervous system multiple myeloma: A real-world multi-institutional study of the Greek Myeloma Study Group. Am J Hematol 2024. [PMID: 38953456 DOI: 10.1002/ajh.27425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 06/03/2024] [Accepted: 06/14/2024] [Indexed: 07/04/2024]
Abstract
Central nervous system (CNS) involvement is a rare and aggressive complication of multiple myeloma (MM). We identified 54/4352 MM patients (1.2%), who developed CNS-MM between 2000 and 2022. A matched-control group of MM patients without CNS-MM was used for comparisons. Median age was 63 years. Median time to CNS-MM was 28 months; 6/54 experienced CNS-MM at MM diagnosis. Abnormal lactate dehydrogenase (LDH), high-risk cytogenetics, and extramedullary involvement (EMI), that is, soft tissue plasmacytomas and/or plasma cell leukemia (PCL), were more frequent in CNS-MM versus controls (p < .05); 13/54 had PCL at CNS-MM. The majority had leptomeningeal infiltration (LMI) (66%); 26% had CNS-MM without systemic myeloma; EMI was the strongest predictor for CNS-MM (OR: 6.3). Median overall survival (OS) of CNS-MM patients versus controls was 43 months (95% CI: 32-54) versus 60 months (95% CI: 38-82) (p < .001); treatment of CNS-MM included mainly bortezomib/thalidomide/chemotherapy whereas 20% received novel drugs/immunotherapy combinations; 28 patients underwent cerebrospinal fluid infusions; EMI was the strongest negative predictor for post CNS-MM OS (p = .005; HR: 2.9). Treatment after 2016 predicted significantly for OS (p = .002; HR: 0.27). Median post CNS-MM OS was 4 months (95% CI: 2.6-5.4); in patients treated after 2016 median OS was 12 months. In conclusion, we have demonstrated in this large real-world series that survival of CNS-MM remains poor; however, there is a positive impact of treatment after 2016, related to the efficacy of modern anti-myeloma therapy; EMI significantly increases the probability to develop CNS-MM and the risk of post CNS-MM death, indicating a potential need for CNS prophylaxis for those patients.
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Affiliation(s)
- Eirini Katodritou
- Department of Hematology, Theagenio Cancer Hospital, Thessaloniki, Greece
| | - Dimitra Dalampira
- Department of Hematology, Theagenio Cancer Hospital, Thessaloniki, Greece
| | - Sosana Delimpasi
- Department of Hematology and Bone Marrow Transplantation Unit, Evangelismos Hospital, Athens, Greece
| | | | - Fryni Karaolidou
- Department of Hematology and Bone Marrow Transplantation Unit, Evangelismos Hospital, Athens, Greece
| | - Annita-Ioanna Gkioka
- First Department of Propaedeutic Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Vasiliki Labropoulou
- Department of Internal Medicine, Division of Hematology, University of Patras Medical School, Patras, Greece
| | - Emmanouil Spanoudakis
- Department of Hematology, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | | | | | - Eyrydiki Michalis
- Department of Hematology, "G. Gennimatas" General Hospital, Athens, Greece
| | | | | | | | - Michael Michael
- Hematology Department, Bank of Cyprus Oncology Center, Nicosia, Cyprus
| | - Aikaterini Daiou
- Department of Hematology, Theagenio Cancer Hospital, Thessaloniki, Greece
| | - Aikaterini Pentidou
- Department of Hematology, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Ioannis Kostopoulos
- Department of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Vasiliki Palaska
- Department of Hematology, Theagenio Cancer Hospital, Thessaloniki, Greece
| | - Maria Gavriatopoulou
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Marie-Christine Kyrtsonis
- First Department of Propaedeutic Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Evgenia Verrou
- Department of Hematology, Theagenio Cancer Hospital, Thessaloniki, Greece
| | - Efstathios Kastritis
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Evangelos Terpos
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
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7
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Haertle L, Munawar U, Hernández HNC, Arroyo-Barea A, Heckel T, Cuenca I, Martin L, Höschle C, Müller N, Vogt C, Bischler T, Del Campo PL, Han S, Buenache N, Zhou X, Bassermann F, Waldschmidt J, Steinbrunn T, Rasche L, Stühmer T, Martinez-Lopez J, Martin Kortüm K, Barrio S. Clonal competition assays identify fitness signatures in cancer progression and resistance in multiple myeloma. Hemasphere 2024; 8:e110. [PMID: 38993727 PMCID: PMC11237348 DOI: 10.1002/hem3.110] [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: 11/19/2023] [Revised: 04/15/2024] [Accepted: 05/09/2024] [Indexed: 07/13/2024] Open
Abstract
Multiple myeloma (MM) is a genetically heterogeneous disease and the management of relapses is one of the biggest clinical challenges. TP53 alterations are established high-risk markers and are included in the current disease staging criteria. KRAS is the most frequently mutated gene affecting around 20% of MM patients. Applying Clonal Competition Assays (CCA) by co-culturing color-labeled genetically modified cell models, we recently showed that mono- and biallelic alterations in TP53 transmit a fitness advantage to the cells. Here, we report a similar dynamic for two mutations in KRAS (G12A and A146T), providing a biological rationale for the high frequency of KRAS and TP53 alterations at MM relapse. Resistance mutations, on the other hand, did not endow MM cells with a general fitness advantage but rather presented a disadvantage compared to the wild-type. CUL4B KO and IKZF1 A152T transmit resistance against immunomodulatory agents, PSMB5 A20T to proteasome inhibition. However, MM cells harboring such lesions only outcompete the culture in the presence of the respective drug. To better prevent the selection of clones with the potential of inducing relapse, these results argue in favor of treatment-free breaks or a switch of the drug class given as maintenance therapy. In summary, the fitness benefit of TP53 and KRAS mutations was not treatment-related, unlike patient-derived drug resistance alterations that may only induce an advantage under treatment. CCAs are suitable models for the study of clonal evolution and competitive (dis)advantages conveyed by a specific genetic lesion of interest, and their dependence on external factors such as the treatment.
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Affiliation(s)
- Larissa Haertle
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
- Department of Hematology Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center (CNIO), Complutense University Madrid Madrid Spain
- Department of Medicine III, Klinikum rechts der Isar Technical University of Munich Munich Germany
| | - Umair Munawar
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
| | - Hipólito N C Hernández
- Department of Hematology Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center (CNIO), Complutense University Madrid Madrid Spain
| | - Andres Arroyo-Barea
- Department of Hematology Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center (CNIO), Complutense University Madrid Madrid Spain
- Department of Biochemistry and Molecular Biology, Pharmacy School Complutense University Madrid Madrid Spain
| | - Tobias Heckel
- Core Unit Systems Medicine University of Würzburg Würzburg Germany
| | - Isabel Cuenca
- Department of Hematology Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center (CNIO), Complutense University Madrid Madrid Spain
| | - Lucia Martin
- Department of Hematology Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center (CNIO), Complutense University Madrid Madrid Spain
| | - Carlotta Höschle
- TranslaTUM, Center for Translational Cancer Research Technical University of Munich Munich Germany
| | - Nicole Müller
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
| | - Cornelia Vogt
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
| | | | - Paula L Del Campo
- Department of Hematology Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center (CNIO), Complutense University Madrid Madrid Spain
| | - Seungbin Han
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
| | - Natalia Buenache
- Department of Hematology Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center (CNIO), Complutense University Madrid Madrid Spain
| | - Xiang Zhou
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
| | - Florian Bassermann
- Department of Medicine III, Klinikum rechts der Isar Technical University of Munich Munich Germany
- TranslaTUM, Center for Translational Cancer Research Technical University of Munich Munich Germany
| | - Johannes Waldschmidt
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
| | - Torsten Steinbrunn
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
- Department of Medical Oncology Dana-Farber Cancer Institute, Harvard Medical School Boston Massachusetts USA
| | - Leo Rasche
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
| | - Thorsten Stühmer
- Comprehensive Cancer Center Mainfranken University Hospital Würzburg Würzburg Germany
| | - Joaquin Martinez-Lopez
- Department of Hematology Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center (CNIO), Complutense University Madrid Madrid Spain
| | - K Martin Kortüm
- Department of Internal Medicine II University Hospital Würzburg Würzburg Germany
| | - Santiago Barrio
- Department of Hematology Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center (CNIO), Complutense University Madrid Madrid Spain
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8
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Ronchetti D, Traini V, Silvestris I, Fabbiano G, Passamonti F, Bolli N, Taiana E. The pleiotropic nature of NONO, a master regulator of essential biological pathways in cancers. Cancer Gene Ther 2024; 31:984-994. [PMID: 38493226 PMCID: PMC11257950 DOI: 10.1038/s41417-024-00763-x] [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: 01/10/2024] [Revised: 03/05/2024] [Accepted: 03/07/2024] [Indexed: 03/18/2024]
Abstract
NONO is a member of the Drosophila behavior/human splicing (DBHS) family of proteins. NONO is a multifunctional protein that acts as a "molecular scaffold" to carry out versatile biological activities in many aspects of gene regulation, cell proliferation, apoptosis, migration, DNA damage repair, and maintaining cellular circadian rhythm coupled to the cell cycle. Besides these physiological activities, emerging evidence strongly indicates that NONO-altered expression levels promote tumorigenesis. In addition, NONO can undergo various post-transcriptional or post-translational modifications, including alternative splicing, phosphorylation, methylation, and acetylation, whose impact on cancer remains largely to be elucidated. Overall, altered NONO expression and/or activities are a common feature in cancer. This review provides an integrated scenario of the current understanding of the molecular mechanisms and the biological processes affected by NONO in different tumor contexts, suggesting that a better elucidation of the pleiotropic functions of NONO in physiology and tumorigenesis will make it a potential therapeutic target in cancer. In this respect, due to the complex landscape of NONO activities and interactions, we highlight caveats that must be considered during experimental planning and data interpretation of NONO studies.
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Affiliation(s)
- Domenica Ronchetti
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Valentina Traini
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Ilaria Silvestris
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Giuseppina Fabbiano
- Hematology, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Francesco Passamonti
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Hematology, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Niccolò Bolli
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Hematology, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Elisa Taiana
- Hematology, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.
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9
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Malamos P, Papanikolaou C, Gavriatopoulou M, Dimopoulos MA, Terpos E, Souliotis VL. The Interplay between the DNA Damage Response (DDR) Network and the Mitogen-Activated Protein Kinase (MAPK) Signaling Pathway in Multiple Myeloma. Int J Mol Sci 2024; 25:6991. [PMID: 39000097 PMCID: PMC11241508 DOI: 10.3390/ijms25136991] [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: 05/11/2024] [Revised: 06/18/2024] [Accepted: 06/24/2024] [Indexed: 07/16/2024] Open
Abstract
The DNA damage response (DDR) network and the mitogen-activated protein kinase (MAPK) signaling pathway are crucial mechanisms for the survival of all living beings. An accumulating body of evidence suggests that there is crosstalk between these two systems, thus favoring the appropriate functioning of multi-cellular organisms. On the other hand, aberrations within these mechanisms are thought to play a vital role in the onset and progression of several diseases, including cancer, as well as in the emergence of drug resistance. Here, we provide an overview of the current knowledge regarding alterations in the DDR machinery and the MAPK signaling pathway as well as abnormalities in the DDR/MAPK functional crosstalk in multiple myeloma, the second most common hematologic malignancy. We also present the latest advances in the development of anti-myeloma drugs targeting crucial DDR- and MAPK-associated molecular components. These data could potentially be exploited to discover new therapeutic targets and effective biomarkers as well as for the design of novel clinical trials. Interestingly, they might provide a new approach to increase the efficacy of anti-myeloma therapy by combining drugs targeting the DDR network and the MAPK signaling pathway.
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Affiliation(s)
- Panagiotis Malamos
- Institute of Chemical Biology, National Hellenic Research Foundation, 116 35 Athens, Greece; (P.M.); (C.P.)
| | - Christina Papanikolaou
- Institute of Chemical Biology, National Hellenic Research Foundation, 116 35 Athens, Greece; (P.M.); (C.P.)
| | - Maria Gavriatopoulou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 115 28 Athens, Greece; (M.G.); (M.A.D.); (E.T.)
| | - Meletios A. Dimopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 115 28 Athens, Greece; (M.G.); (M.A.D.); (E.T.)
| | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 115 28 Athens, Greece; (M.G.); (M.A.D.); (E.T.)
| | - Vassilis L. Souliotis
- Institute of Chemical Biology, National Hellenic Research Foundation, 116 35 Athens, Greece; (P.M.); (C.P.)
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10
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Heredia-Guerrero SC, Evers M, Keppler S, Schwarzfischer M, Fuhr V, Rauert-Wunderlich H, Krügl A, Nedeva T, Grieb T, Pickert J, Koch H, Steinbrunn T, Bayrhof OJ, Bargou RC, Rosenwald A, Stühmer T, Leich E. Functional Investigation of IGF1R Mutations in Multiple Myeloma. Cancers (Basel) 2024; 16:2139. [PMID: 38893258 PMCID: PMC11171363 DOI: 10.3390/cancers16112139] [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: 04/24/2024] [Revised: 05/22/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
High expression of the receptor tyrosine kinase (RTK) insulin-like growth factor-1 receptor (IGF1R) and RTK mutations are associated with high-risk/worse prognosis in multiple myeloma (MM). Combining the pIGF1R/pINSR inhibitor linsitinib with the proteasome inhibitor (PI) bortezomib seemed promising in a clinical trial, but IGF1R expression was not associated with therapy response. Because the oncogenic impact of IGF1R mutations is so far unknown, we investigated the functional impact of IGF1R mutations on survival signaling, viability/proliferation and survival response to therapy. We transfected four human myeloma cell lines (HMCLs) with IGF1RWT, IGF1RD1146N and IGF1RN1129S (Sleeping Beauty), generated CRISPR-Cas9 IGF1R knockouts in the HMCLs U-266 (IGF1RWT) and L-363 (IGF1RD1146N) and tested the anti-MM activity of linsitinib alone and in combination with the second-generation PI carfilzomib in seven HMCLs. IGF1R knockout entailed reduced proliferation. Upon IGF1R overexpression, survival signaling was moderately increased in all HCMLs and slightly affected by IGF1RN1129S in one HMCL, whereby the viability remained unaffected. Expression of IGF1RD1146N reduced pIGF1R-Y1135, especially under serum reduction, but did not impact downstream signaling. Linsitinib and carfilzomib showed enhanced anti-myeloma activity in six out of seven HMCL irrespective of the IGF1R mutation status. In conclusion, IGF1R mutations can impact IGF1R activation and/or downstream signaling, and a combination of linsitinib with carfilzomib might be a suitable therapeutic approach for MM patients potentially responsive to IGF1R blockade.
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Affiliation(s)
| | - Marietheres Evers
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Sarah Keppler
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Marlene Schwarzfischer
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Viktoria Fuhr
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Hilka Rauert-Wunderlich
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Anne Krügl
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Theodora Nedeva
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Tina Grieb
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Julia Pickert
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Hanna Koch
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Torsten Steinbrunn
- Department of Internal Medicine II, University Hospital Würzburg, 97080 Würzburg, Germany;
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Otto-Jonas Bayrhof
- Comprehensive Cancer Center Mainfranken, University Hospital Würzburg, 97080 Würzburg, Germany (R.C.B.); (T.S.)
| | - Ralf Christian Bargou
- Comprehensive Cancer Center Mainfranken, University Hospital Würzburg, 97080 Würzburg, Germany (R.C.B.); (T.S.)
| | - Andreas Rosenwald
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
| | - Thorsten Stühmer
- Comprehensive Cancer Center Mainfranken, University Hospital Würzburg, 97080 Würzburg, Germany (R.C.B.); (T.S.)
| | - Ellen Leich
- Institute of Pathology, University of Würzburg, 97080 Würzburg, Germany (M.E.); (H.R.-W.); (A.K.); (T.N.); (T.G.); (A.R.)
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11
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Cui J, Liu Y, Lv R, Yan W, Xu J, Li L, Du C, Yu T, Zhang S, Deng S, Sui W, Hao M, Yi S, Zou D, Qiu L, Xu Y, An G. Fluorescence in situ hybridization reveals the evolutionary biology of minor clone of gain/amp(1q) in multiple myeloma. Leukemia 2024; 38:1299-1306. [PMID: 38609496 PMCID: PMC11147758 DOI: 10.1038/s41375-024-02237-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 03/21/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024]
Abstract
Growing evidence suggests that gain or amplification [gain/amp(1q)] accumulates during disease progression of multiple myeloma (MM). Previous investigations have indicated that small gain/amp(1q) subclones present at the time of diagnosis may evolve into dominant clones upon MM relapse. However, the influence of a minor clone of gain/amp(1q) on MM survival, as well as the correlation between different clonal sizes of gain/amp(1q) and the chromosomal instability (CIN) of MM, remains poorly understood. In this study, we analyzed fluorescence in situ hybridization (FISH) results of 998 newly diagnosed MM (NDMM) patients. 513 patients were detected with gain/amp(1q) at diagnosis. Among these 513 patients, 55 had a minor clone (≤20%) of gain/amp(1q). Patients with a minor clone of gain/amp(1q) displayed similar survival outcomes compared to those without gain/amp(1q). Further analysis demonstrated patients with a minor clone of gain/amp(1q) exhibited a clonal architecture similar to those without gain/amp(1q). Lastly, our results showed a significant increase in the clonal size of the minor clone of gain/amp(1q), frequently observed in MM. These findings suggested that a minor clone of gain/amp(1q) might represent an earlier stage in the pathogenesis of gain/amp(1q) and propose a "two-step" process in the clonal size changes of gain/amp(1q) in MM.
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Affiliation(s)
- Jian Cui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yuntong Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Rui Lv
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Tengteng Yu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shuaishuai Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
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12
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Pilcher WC, Yao L, Gonzalez-Kozlova E, Pita-Juarez Y, Karagkouni D, Acharya CR, Michaud ME, Hamilton M, Nanda S, Song Y, Sato K, Wang JT, Satpathy S, Ma Y, Schulman J, D'Souza D, Jayasinghe RG, Cheloni G, Bakhtiari M, Pabustan N, Nie K, Foltz JA, Saldarriaga I, Alaaeldin R, Lepisto E, Chen R, Fiala MA, Thomas BE, Cook A, Dos Santos JV, Chiang IL, Figueiredo I, Fortier J, Slade M, Oh ST, Rettig MP, Anderson E, Li Y, Dasari S, Strausbauch MA, Simon VA, Rahman AH, Chen Z, Lagana A, DiPersio JF, Rosenblatt J, Kim-Schulze S, Dhodapkar MV, Lonial S, Kumar S, Bhasin SS, Kourelis T, Vij R, Avigan D, Cho HJ, Mulligan G, Ding L, Gnjatic S, Vlachos IS, Bhasin M. A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.593193. [PMID: 38798338 PMCID: PMC11118283 DOI: 10.1101/2024.05.15.593193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Multiple Myeloma (MM) remains incurable despite advances in treatment options. Although tumor subtypes and specific DNA abnormalities are linked to worse prognosis, the impact of immune dysfunction on disease emergence and/or treatment sensitivity remains unclear. We established a harmonized consortium to generate an Immune Atlas of MM aimed at informing disease etiology, risk stratification, and potential therapeutic strategies. We generated a transcriptome profile of 1,149,344 single cells from the bone marrow of 263 newly diagnosed patients enrolled in the CoMMpass study and characterized immune and hematopoietic cell populations. Associating cell abundances and gene expression with disease progression revealed the presence of a proinflammatory immune senescence-associated secretory phenotype in rapidly progressing patients. Furthermore, signaling analyses suggested active intercellular communication involving APRIL-BCMA, potentially promoting tumor growth and survival. Finally, we demonstrate that integrating immune cell levels with genetic information can significantly improve patient stratification.
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Affiliation(s)
- William C. Pilcher
- Coultier Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Lijun Yao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Edgar Gonzalez-Kozlova
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yered Pita-Juarez
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dimitra Karagkouni
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Marina E Michaud
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Shivani Nanda
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yizhe Song
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Kazuhito Sato
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Julia T. Wang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Sarthak Satpathy
- Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA
| | - Yuling Ma
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Darwin D'Souza
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Reyka G. Jayasinghe
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Giulia Cheloni
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Mojtaba Bakhtiari
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Kai Nie
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jennifer A. Foltz
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Rania Alaaeldin
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Rachel Chen
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark A. Fiala
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Beena E Thomas
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Junia Vieira Dos Santos
- Tisch Cancer Institute, Department of Immunology and Immunotherapy, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - I-ling Chiang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Igor Figueiredo
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julie Fortier
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael Slade
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen T. Oh
- Division of Hematology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- Immunomonitoring Laboratory, Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael P. Rettig
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Ying Li
- Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Adeeb H Rahman
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zhihong Chen
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alessandro Lagana
- Tisch Cancer Institute, Department of Immunology and Immunotherapy, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John F. DiPersio
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Jacalyn Rosenblatt
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center & Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Madhav V Dhodapkar
- Department of Hematology Oncology, Emory School of Medicine, Atlanta, GA, USA
- Winship Cancer Institute, Emory School of Medicine, Atlanta, GA, USA
| | - Sagar Lonial
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta
| | | | - Swati S Bhasin
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Ravi Vij
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
| | - David Avigan
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center & Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | | | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Sacha Gnjatic
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ioannis S Vlachos
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Spatial Technologies Unit, Harvard Medical School Initiative for RNA Medicine, Boston, MA, USA
- Cancer Center & Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA
| | - Manoj Bhasin
- Coultier Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
- Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA
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13
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Testa U, Leone G, Pelosi E, Castelli G, De Stefano V. Is It Possible to Predict Tumor Progression Through Genomic Characterization of Monoclonal Gammopathy and Smoldering Multiple Myeloma? Mediterr J Hematol Infect Dis 2024; 16:e2024044. [PMID: 38882455 PMCID: PMC11178066 DOI: 10.4084/mjhid.2024.044] [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: 03/20/2024] [Accepted: 04/16/2024] [Indexed: 06/18/2024] Open
Abstract
The study of monoclonal serum proteins has led to the generation of two major theories: one proposing that individuals who had monoclonal proteins without any symptoms or evidence of end-organ damage have a benign condition, the other one suggesting that some individuals with asymptomatic monoclonal proteins may progress to multiple myeloma and thus are affected by a monoclonal gammopathy of undetermined significance (MGUS). Longitudinal studies of subjects with MGUS have supported the second theory. Subsequent studies have characterized and defined the existence of another precursor of multiple myeloma, smoldering multiple myeloma (SMM), intermediate between MGUS and multiple myeloma. Primary molecular events, chromosome translocations, and chromosome number alterations resulting in hyperploidy, required for multiple myeloma development, are already observed in myeloma precursors. MGUS and SMM are heterogeneous conditions with the presence of tumors with distinct pathogenic phenotypes and clinical outcomes. The identification of MGUS and SMM patients with a molecularly defined high risk of progression to MM offers the unique opportunity of early intervention with a therapeutic approach on a low tumor burden.
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Affiliation(s)
- Ugo Testa
- Istituto Superiore di Sanità, Roma, Italy
| | - Giuseppe Leone
- Section of Hematology, Department of Radiological and Hematological Sciences, Catholic University, Rome, Italy
| | | | | | - Valerio De Stefano
- Section of Hematology, Department of Radiological and Hematological Sciences, Catholic University, Rome, Italy
- Department of Laboratory and Hematological Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
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14
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Soureas K, Papadimitriou MA, Malandrakis P, Papanota AM, Adamopoulos PG, Ntanasis-Stathopoulos I, Liacos CI, Gavriatopoulou M, Sideris DC, Kastritis E, Dimopoulos MA, Scorilas A, Terpos E, Avgeris M. Small RNA-seq and clinical evaluation of tRNA-derived fragments in multiple myeloma: Loss of mitochondrial i-tRF HisGTG results in patients' poor treatment outcome. Br J Haematol 2024; 204:1790-1800. [PMID: 38414235 DOI: 10.1111/bjh.19332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 01/21/2024] [Accepted: 01/25/2024] [Indexed: 02/29/2024]
Abstract
Despite the substantial progress in multiple myeloma (MM) therapy nowadays, treatment resistance and disease relapse remain major clinical hindrances. Herein, we have investigated tRNA-derived fragment (tRF) profiles in MM and precursor stages (smoldering MM/sMM; monoclonal gammopathy of undetermined significance/MGUS), aiming to unveil potential MM-related tRFs in ameliorating MM prognosis and risk stratification. Small RNA-seq was performed to profile tRFs in bone marrow CD138+ plasma cells, revealing the significant deregulation of the mitochondrial internal tRFHisGTG (mt-i-tRFHisGTG) in MM versus sMM/MGUS. The screening cohort of the study consisted of 147 MM patients, and mt-i-tRFHisGTG levels were quantified by RT-qPCR. Disease progression was assessed as clinical end-point for survival analysis, while internal validation was performed by bootstrap and decision curve analyses. Screening cohort analysis highlighted the potent association of reduced mt-i-tRFHisGTG levels with patients' bone disease (p = 0.010), osteolysis (p = 0.023) and with significantly higher risk for short-term disease progression following first-line chemotherapy, independently of patients' clinical data (HR = 1.954; p = 0.036). Additionally, mt-i-tRFHisGTG-fitted multivariate models led to superior risk stratification of MM patients' treatment outcome and prognosis compared to disease-established markers. Notably, our study highlighted mt-i-tRFHisGTG loss as a powerful independent indicator of post-treatment progression of MM patients, leading to superior risk stratification of patients' treatment outcome.
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Affiliation(s)
- Konstantinos Soureas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
- Laboratory of Clinical Biochemistry-Molecular Diagnostics, Second Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, "P. & A. Kyriakou" Children's Hospital, Athens, Greece
| | - Maria-Alexandra Papadimitriou
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Malandrakis
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Aristea-Maria Papanota
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Panagiotis G Adamopoulos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Ntanasis-Stathopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Christine-Ivy Liacos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Maria Gavriatopoulou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Diamantis C Sideris
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstathios Kastritis
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Meletios-Athanasios Dimopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Margaritis Avgeris
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
- Laboratory of Clinical Biochemistry-Molecular Diagnostics, Second Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, "P. & A. Kyriakou" Children's Hospital, Athens, Greece
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15
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Roders N, Nakid-Cordero C, Raineri F, Fayon M, Abecassis A, Choisy C, Nelson E, Maillard C, Garrick D, Talbot A, Fermand JP, Arnulf B, Bories JC. Dual Chimeric Antigen Receptor T Cells Targeting CD38 and SLAMF7 with Independent Signaling Demonstrate Preclinical Efficacy and Safety in Multiple Myeloma. Cancer Immunol Res 2024; 12:478-490. [PMID: 38289260 DOI: 10.1158/2326-6066.cir-23-0839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/29/2023] [Accepted: 01/26/2024] [Indexed: 04/04/2024]
Abstract
Chimeric antigen receptor (CAR) T-cell therapy for multiple myeloma targeting B-cell maturation antigen (BCMA) induces high overall response rates. However, relapse still occurs and novel strategies for targeting multiple myeloma cells using CAR T-cell therapy are needed. SLAMF7 (also known as CS1) and CD38 on tumor plasma cells represent potential alternative targets for CAR T-cell therapy in multiple myeloma, but their expression on activated T cells and other hematopoietic cells raises concerns about the efficacy and safety of such treatments. Here, we used CRISPR/Cas9 deletion of the CD38 gene in T cells and developed DCAR, a double CAR system targeting CD38 and CS1 through activation and costimulation receptors, respectively. Inactivation of CD38 enhanced the anti-multiple myeloma activity of DCAR T in vitro. Edited DCAR T cells showed strong in vitro and in vivo responses specifically against target cells expressing both CD38 and CS1. Furthermore, we provide evidence that, unlike anti-CD38 CAR T-cell therapy, which elicited a rapid immune reaction against hematopoietic cells in a humanized mouse model, DCAR T cells showed no signs of toxicity. Thus, DCAR T cells could provide a safe and efficient alternative to anti-BCMA CAR T-cell therapy to treat patients with multiple myeloma.
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Affiliation(s)
- Nathalie Roders
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
| | - Cecilia Nakid-Cordero
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
| | - Fabio Raineri
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
| | - Maxime Fayon
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
| | - Audrey Abecassis
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
| | - Caroline Choisy
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
| | - Elisabeth Nelson
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
| | | | - David Garrick
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
| | - Alexis Talbot
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
- Immuno-Hematology, Saint-Louis Hospital, Paris, France
| | - Jean-Paul Fermand
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
- Immuno-Hematology, Saint-Louis Hospital, Paris, France
| | - Bertrand Arnulf
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
- Immuno-Hematology, Saint-Louis Hospital, Paris, France
| | - Jean-Christophe Bories
- INSERM, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis, Université de Paris-Cité, Paris, France
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16
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Schinke C, Rasche L, Raab MS, Weinhold N. Impact of Clonal Heterogeneity in Multiple Myeloma. Hematol Oncol Clin North Am 2024; 38:461-476. [PMID: 38195308 DOI: 10.1016/j.hoc.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Multiple myeloma is characterized by a highly heterogeneous disease distribution within the bone marrow-containing skeletal system. In this review, we introduce the molecular mechanisms underlying clonal heterogeneity and the spatio-temporal evolution of myeloma. We discuss the clinical impact of clonal heterogeneity, which is thought to be one of the biggest obstacles to overcome therapy resistance and to achieve cure.
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Affiliation(s)
- Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Leo Rasche
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany; Mildred Scheel Early Career Center (MSNZ), University Hospital of Würzburg, Würzburg, Germany
| | - Marc S Raab
- Department of Internal Medicine V, Heidelberg University Clinic Hospital, Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, Heidelberg University Clinic Hospital, Heidelberg, Germany.
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17
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Givi JP, Williams N, Hass R, Tacker DH, Goswami A, Randall C. Educational Case: Multiple myeloma. Acad Pathol 2024; 11:100117. [PMID: 38616952 PMCID: PMC11015094 DOI: 10.1016/j.acpath.2024.100117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 02/04/2024] [Accepted: 02/19/2024] [Indexed: 04/16/2024] Open
Affiliation(s)
- Jerome P. Givi
- Department of Pathology, Anatomy, Laboratory Medicine, West Virginia University, Morgantown, WV, USA
| | | | - Rotem Hass
- West Virginia University School of Medicine, USA
| | - Danyel H. Tacker
- Department of Pathology, Anatomy, Laboratory Medicine, West Virginia University, Morgantown, WV, USA
| | - Aarti Goswami
- Department of Pathology, Anatomy, Laboratory Medicine, West Virginia University, Morgantown, WV, USA
| | - Cara Randall
- Department of Pathology, Anatomy, Laboratory Medicine, West Virginia University, Morgantown, WV, USA
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18
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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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19
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Bors A, Kozma A, Tomán Á, Őrfi Z, Kondor N, Tasnády S, Vályi-Nagy I, Reményi P, Mikala G, Andrikovics H. IGH::NSD2 Fusion Gene Transcript as Measurable Residual Disease Marker in Multiple Myeloma. Cancers (Basel) 2024; 16:283. [PMID: 38254774 PMCID: PMC10813871 DOI: 10.3390/cancers16020283] [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: 11/30/2023] [Revised: 12/28/2023] [Accepted: 01/03/2024] [Indexed: 01/24/2024] Open
Abstract
Multiple myeloma (MM) is the second most common hematological malignancy. Approximately 15% of MM patients are affected by the t(4;14) translocation resulting in the IGH::NSD2 fusion transcript. Breakage occurs in three major breakpoint regions within the NSD2 gene (MB4-1, MB4-2, and MB4-3), where MB4-1 leads to the production of full-length protein, while truncated proteins are expressed in the other two cases. Measurable residual disease (MRD) has been conclusively established as a crucial prognostic factor in MM. The IGH::NSD2 fusion transcript can serve as a sensitive MRD marker. Using bone marrow (BM) and peripheral blood (PB) samples from 111 patients, we developed a highly sensitive quantitative real-time PCR (qPCR) and digital PCR (dPCR) system capable of detecting fusion mRNAs with a sensitivity of up to 1:100,000. PB samples exhibited sensitivity three orders of magnitude lower compared to BM samples. Patients with an MB4-2 breakpoint demonstrated significantly reduced overall survival (p = 0.003). Our novel method offers a simple and sensitive means for detecting MRD in a substantial proportion of MM patients. Monitoring may be carried out even from PB samples. The literature lacks consensus regarding survival outcomes among patients with different NSD2 breakpoints. Our data align with previous findings indicating that patients with the MB4-2 breakpoint type tend to exhibit unfavorable overall survival.
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Affiliation(s)
- András Bors
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (A.K.); (Á.T.); (Z.Ő.); (H.A.)
| | - András Kozma
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (A.K.); (Á.T.); (Z.Ő.); (H.A.)
| | - Ágnes Tomán
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (A.K.); (Á.T.); (Z.Ő.); (H.A.)
| | - Zoltán Őrfi
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (A.K.); (Á.T.); (Z.Ő.); (H.A.)
| | - Nóra Kondor
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (A.K.); (Á.T.); (Z.Ő.); (H.A.)
| | - Szabolcs Tasnády
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (S.T.); (I.V.-N.); (P.R.); (G.M.)
| | - István Vályi-Nagy
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (S.T.); (I.V.-N.); (P.R.); (G.M.)
| | - Péter Reményi
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (S.T.); (I.V.-N.); (P.R.); (G.M.)
| | - Gábor Mikala
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (S.T.); (I.V.-N.); (P.R.); (G.M.)
| | - Hajnalka Andrikovics
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest-National Institute of Hematology and Infectious Disease, H-1097 Budapest, Hungary; (A.K.); (Á.T.); (Z.Ő.); (H.A.)
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20
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Bouchnita A, Volpert V. Phenotype-structured model of intra-clonal heterogeneity and drug resistance in multiple myeloma. J Theor Biol 2024; 576:111652. [PMID: 37952610 DOI: 10.1016/j.jtbi.2023.111652] [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: 07/24/2023] [Revised: 09/26/2023] [Accepted: 10/22/2023] [Indexed: 11/14/2023]
Abstract
Multiple myeloma (MM) is a genetically complex hematological cancer characterized by the abnormal proliferation of malignant plasma cells in the bone marrow. This disease progresses from a premalignant condition known as monoclonal gammopathy of unknown significance (MGUS) through sequential genetic alterations involving various genes. These genetic changes contribute to the uncontrolled growth of multiple clones of plasma cells. In this study, we present a phenotype-structured model that captures the intra-clonal heterogeneity and drug resistance in multiple myeloma (MM). The model accurately reproduces the branching evolutionary pattern observed in MM progression, aligning with a previously developed multiscale model. Numerical simulations reveal that higher mutation rates enhance tumor phenotype diversity, while access to growth factors accelerates tumor evolution and increases its final size. Interestingly, the model suggests that further increasing growth factor access primarily amplifies tumor size rather than altering clonal dynamics. Additionally, the model emphasizes that higher mutation frequencies and growth factor availability elevate the chances of drug resistance and relapse. It indicates that the timing of the treatment could trajectory of tumor evolution and clonal emergence in the case of branching evolutionary pattern. Given its low computational cost, our model is well-suited for quantitative studies on MM clonal heterogeneity and its interaction with chemotherapeutic treatments.
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Affiliation(s)
- Anass Bouchnita
- Department of Mathematical Sciences, The University of Texas at El Paso, El Paso, 79968, TX, United States.
| | - Vitaly Volpert
- Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1, 69622 Villeurbanne, France; Peoples Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, 117198 Moscow, Russian Federation
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21
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Nylund P, Garrido-Zabala B, Kalushkova A, Wiklund HJ. The complex nature of lncRNA-mediated chromatin dynamics in multiple myeloma. Front Oncol 2023; 13:1303677. [PMID: 38148842 PMCID: PMC10750364 DOI: 10.3389/fonc.2023.1303677] [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: 09/28/2023] [Accepted: 11/27/2023] [Indexed: 12/28/2023] Open
Abstract
Extensive genome-wide sequencing efforts have unveiled the intricate regulatory potential of long non-protein coding RNAs (lncRNAs) within the domain of haematological malignancies. Notably, lncRNAs have been found to directly modulate chromatin architecture, thereby impacting gene expression and disease progression by interacting with DNA, RNA, and proteins in a tissue- or condition-specific manner. Furthermore, recent studies have highlighted the intricate epigenetic control of lncRNAs in cancer. Consequently, this provides a rationale to explore the possibility of therapeutically targeting lncRNAs themselves or the epigenetic mechanisms that govern their activity. Within the scope of this review, we will assess the current state of knowledge regarding the epigenetic regulation of lncRNAs and how, in turn, lncRNAs contribute to chromatin remodelling in the context of multiple myeloma.
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Affiliation(s)
| | | | | | - Helena Jernberg Wiklund
- Science for Life Laboratory, Department of Immunology, Genetic and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
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22
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Simhal AK, Maclachlan KH, Elkin R, Zhu J, Norton L, Deasy JO, Oh JH, Usmani SZ, Tannenbaum A. Gene interaction network analysis in multiple myeloma detects complex immune dysregulation associated with shorter survival. Blood Cancer J 2023; 13:175. [PMID: 38030619 PMCID: PMC10687027 DOI: 10.1038/s41408-023-00935-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 10/11/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
The plasma cell cancer multiple myeloma (MM) varies significantly in genomic characteristics, response to therapy, and long-term prognosis. To investigate global interactions in MM, we combined a known protein interaction network with a large clinically annotated MM dataset. We hypothesized that an unbiased network analysis method based on large-scale similarities in gene expression, copy number aberration, and protein interactions may provide novel biological insights. Applying a novel measure of network robustness, Ollivier-Ricci Curvature, we examined patterns in the RNA-Seq gene expression and CNA data and how they relate to clinical outcomes. Hierarchical clustering using ORC differentiated high-risk subtypes with low progression free survival. Differential gene expression analysis defined 118 genes with significantly aberrant expression. These genes, while not previously associated with MM, were associated with DNA repair, apoptosis, and the immune system. Univariate analysis identified 8/118 to be prognostic genes; all associated with the immune system. A network topology analysis identified both hub and bridge genes which connect known genes of biological significance of MM. Taken together, gene interaction network analysis in MM uses a novel method of global assessment to demonstrate complex immune dysregulation associated with shorter survival.
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Affiliation(s)
- Anish K Simhal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kylee H Maclachlan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Rena Elkin
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jiening Zhu
- Department of Applied Mathematics & Statistics, Stony Brook University, Stony Brook, NY, USA
| | - Larry Norton
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Saad Z Usmani
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Allen Tannenbaum
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Departments of Computer Science and Applied Mathematics & Statistics, Stony Brook University, Stony Brook, NY, USA.
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23
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Poos AM, Prokoph N, Przybilla MJ, Mallm JP, Steiger S, Seufert I, John L, Tirier SM, Bauer K, Baumann A, Rohleder J, Munawar U, Rasche L, Kortüm KM, Giesen N, Reichert P, Huhn S, Müller-Tidow C, Goldschmidt H, Stegle O, Raab MS, Rippe K, Weinhold N. Resolving therapy resistance mechanisms in multiple myeloma by multiomics subclone analysis. Blood 2023; 142:1633-1646. [PMID: 37390336 PMCID: PMC10733835 DOI: 10.1182/blood.2023019758] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/17/2023] [Accepted: 06/12/2023] [Indexed: 07/02/2023] Open
Abstract
Intratumor heterogeneity as a clinical challenge becomes most evident after several treatment lines, when multidrug-resistant subclones accumulate. To address this challenge, the characterization of resistance mechanisms at the subclonal level is key to identify common vulnerabilities. In this study, we integrate whole-genome sequencing, single-cell (sc) transcriptomics (scRNA sequencing), and chromatin accessibility (scATAC sequencing) together with mitochondrial DNA mutations to define subclonal architecture and evolution for longitudinal samples from 15 patients with relapsed or refractory multiple myeloma. We assess transcriptomic and epigenomic changes to resolve the multifactorial nature of therapy resistance and relate it to the parallel occurrence of different mechanisms: (1) preexisting epigenetic profiles of subclones associated with survival advantages, (2) converging phenotypic adaptation of genetically distinct subclones, and (3) subclone-specific interactions of myeloma and bone marrow microenvironment cells. Our study showcases how an integrative multiomics analysis can be applied to track and characterize distinct multidrug-resistant subclones over time for the identification of molecular targets against them.
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Affiliation(s)
- Alexandra M. Poos
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Nina Prokoph
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Moritz J. Przybilla
- Division Computational Genomics and Systems Genetics, German Cancer Research Center, Heidelberg, Germany
- Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom
| | - Jan-Philipp Mallm
- Single Cell Open Lab, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Simon Steiger
- Division of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Isabelle Seufert
- Division of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Lukas John
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Stephan M. Tirier
- Division of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Katharina Bauer
- Single Cell Open Lab, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Anja Baumann
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Jennifer Rohleder
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Umair Munawar
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
| | - Leo Rasche
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
- Mildred Scheel Early Career Center, University Hospital of Würzburg, Würzburg, Germany
| | - K. Martin Kortüm
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
| | - Nicola Giesen
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Philipp Reichert
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Stefanie Huhn
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Carsten Müller-Tidow
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, Heidelberg, Germany
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, GMMG-Study Group at University Hospital Heidelberg, Heidelberg, Germany
| | - Oliver Stegle
- Division Computational Genomics and Systems Genetics, German Cancer Research Center, Heidelberg, Germany
- Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Marc S. Raab
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Karsten Rippe
- Division of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
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24
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Sharma NS, Choudhary B. Good Cop, Bad Cop: Profiling the Immune Landscape in Multiple Myeloma. Biomolecules 2023; 13:1629. [PMID: 38002311 PMCID: PMC10669790 DOI: 10.3390/biom13111629] [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: 09/29/2023] [Revised: 10/26/2023] [Accepted: 10/29/2023] [Indexed: 11/26/2023] Open
Abstract
Multiple myeloma (MM) is a dyscrasia of plasma cells (PCs) characterized by abnormal immunoglobulin (Ig) production. The disease remains incurable due to a multitude of mutations and structural abnormalities in MM cells, coupled with a favorable microenvironment and immune suppression that eventually contribute to the development of drug resistance. The bone marrow microenvironment (BMME) is composed of a cellular component comprising stromal cells, endothelial cells, osteoclasts, osteoblasts, and immune cells, and a non-cellular component made of the extracellular matrix (ECM) and the liquid milieu, which contains cytokines, growth factors, and chemokines. The bone marrow stromal cells (BMSCs) are involved in the adhesion of MM cells, promote the growth, proliferation, invasion, and drug resistance of MM cells, and are also crucial in angiogenesis and the formation of lytic bone lesions. Classical immunophenotyping in combination with advanced immune profiling using single-cell sequencing technologies has enabled immune cell-specific gene expression analysis in MM to further elucidate the roles of specific immune cell fractions from peripheral blood and bone marrow (BM) in myelomagenesis and progression, immune evasion and exhaustion mechanisms, and development of drug resistance and relapse. The review describes the role of BMME components in MM development and ongoing clinical trials using immunotherapeutic approaches.
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Affiliation(s)
- Niyati Seshagiri Sharma
- Institute of Bioinformatics and Applied Biotechnology (IBAB), Electronic City, Bengaluru 560100, India
- Manipal Academy of Higher Education (MAHE), Manipal 576104, India
| | - Bibha Choudhary
- Institute of Bioinformatics and Applied Biotechnology (IBAB), Electronic City, Bengaluru 560100, India
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25
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Hui H, Fuller KA, Eresta Jaya L, Konishi Y, Ng TF, Frodsham R, Speight G, Yamada K, Clarke SE, Erber WN. IGH cytogenetic abnormalities can be detected in multiple myeloma by imaging flow cytometry. J Clin Pathol 2023; 76:763-769. [PMID: 36113967 DOI: 10.1136/jcp-2022-208230] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 08/12/2022] [Indexed: 11/04/2022]
Abstract
AIMS Cytogenetic abnormalities involving the IGH gene are seen in up to 55% of patients with multiple myeloma. Current testing is performed manually by fluorescence in situ hybridisation (FISH) on purified plasma cells. We aimed to assess whether an automated imaging flow cytometric method that uses immunophenotypic cell identification, and does not require cell isolation, can identify IGH abnormalities. METHODS Aspirated bone marrow from 10 patients with multiple myeloma were studied. Plasma cells were identified by CD38 and CD138 coexpression and assessed with FISH probes for numerical or structural abnormalities of IGH. Thousands of cells were acquired on an imaging flow cytometer and numerical data and digital images were analysed. RESULTS Up to 30 000 cells were acquired and IGH chromosomal abnormalities were detected in 5 of the 10 marrow samples. FISH signal patterns seen included fused IGH signals for IGH/FGFR3 and IGH/MYEOV, indicating t(4;14) and t(11;14), respectively. In addition, three IGH signals were identified, indicating trisomy 14 or translocation with an alternate chromosome. The lowest limit of detection of an IGH abnormality was in 0.05% of all cells. CONCLUSIONS This automated high-throughput immuno-flowFISH method was able to identify translocations and trisomy involving the IGH gene in plasma cells in multiple myeloma. Thousands of cells were analysed and without prior cell isolation. The inclusion of positive plasma cell identification based on immunophenotype led to a lowest detection level of 0.05% marrow cells. This imaging flow cytometric FISH method offers the prospect of increased precision of detection of critical genetic lesions involving IGH and other chromosomal defects in multiple myeloma.
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Affiliation(s)
- Henry Hui
- School of Biomedical Sciences, The University of Western Australia, WA Australia
| | - Kathy A Fuller
- School of Biomedical Sciences, The University of Western Australia, WA Australia
| | | | | | - Teng Fong Ng
- School of Biomedical Sciences, The University of Western Australia, WA Australia
| | | | | | | | - Sarah E Clarke
- School of Biomedical Sciences, The University of Western Australia, WA Australia
- PathWest Laboratory Medicine, Nedlands, WA, Australia
| | - Wendy N Erber
- School of Biomedical Sciences, The University of Western Australia, WA Australia
- PathWest Laboratory Medicine, Nedlands, WA, Australia
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26
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Jia Y, Liu R, Shi L, Feng Y, Zhang L, Guo N, He A, Kong G. Integrative analysis of the prognostic value and immune microenvironment of mitophagy-related signature for multiple myeloma. BMC Cancer 2023; 23:859. [PMID: 37700273 PMCID: PMC10496355 DOI: 10.1186/s12885-023-11371-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 09/04/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND Multiple myeloma (MM) is a fatal malignant tumor in hematology. Mitophagy plays vital roles in the pathogenesis and drug sensitivity of MM. METHODS We acquired transcriptomic expression data and clinical index of MM patients from NCI public database, and 36 genes involved in mitophagy from the gene set enrichment analysis (GSEA) database. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was conducted to construct a risk score prognostic model. Kaplan-Meier survival analysis and receiver operation characteristic curves (ROC) were conducted to identify the efficiency of prognosis and diagnosis. ESTIMATE algorithm and immune-related single-sample gene set enrichment analysis (ssGSEA) was performed to uncover the level of immune infiltration. QRT-PCR was performed to verify gene expression in clinical samples of MM patients. The sensitivity to chemotherapy drugs was evaluated upon the database of the genomics of drug sensitivity in cancer (GDSC). RESULTS Fifty mitophagy-related genes were differently expressed in two independent cohorts. Ten out of these genes were identified to be related to MM overall survival (OS) rate. A prognostic risk signature model was built upon on these genes: VDAC1, PINK1, VPS13C, ATG13, and HUWE1, which predicted the survival of MM accurately and stably both in training and validation cohorts. MM patients suffered more adverse prognosis showed more higher risk core. In addition, the risk score was considered as an independent prognostic element for OS of MM patients by multivariate cox regression analysis. Functional pathway enrichment analysis of differentially expressed genes (DEGs) based on risk score showed terms of cell cycle, immune response, mTOR pathway, and MYC targets were obviously enriched. Furthermore, MM patients with higher risk score were observed lower immune scores and lower immune infiltration levels. The results of qRT-PCR verified VDAC1, PINK1, and HUWE1 were dysregulated in new diagnosed MM patients. Finally, further analysis indicated MM patients showed more susceptive to bortezomib, lenalidomide and rapamycin in high-risk group. CONCLUSION Our research provided a neoteric prognostic model of MM based on mitophagy genes. The immune infiltration level based on risk score paved a better understanding of the participation of mitophagy in MM.
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Affiliation(s)
- Yachun Jia
- National and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
| | - Rui Liu
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
| | - Luyi Shi
- Precision Medical Institute, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
| | - Yuandong Feng
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
| | - Linlin Zhang
- National and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
- Precision Medical Institute, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
| | - Ni Guo
- National and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
| | - Aili He
- National and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China.
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China.
| | - Guangyao Kong
- National and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China.
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China.
- Precision Medical Institute, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, PR China.
- Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Xi'an, Shaanxi, PR China.
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27
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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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28
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Tanveer N, Hussein S, Pingili S, Makkena VK, Jaramillo AP, Awosusi BL, Ayyub J, Dabhi KN, Gohil NV, Hamid P. Multiple Myeloma and the Role of Bisphosphonates in Its Management. Cureus 2023; 15:e45270. [PMID: 37846237 PMCID: PMC10576843 DOI: 10.7759/cureus.45270] [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: 06/11/2023] [Accepted: 09/14/2023] [Indexed: 10/18/2023] Open
Abstract
An aberrant growth of plasma cells in the bone marrow characterizes the hematological neoplasm known as multiple myeloma, which is typically accompanied by increased bone pain and skeletal-related events such as pathological fractures and/or spinal cord compression. Changes in the bone marrow microenvironment brought on by increased osteoclastic activity and/or decreased osteoblastic activity as a result of myeloma bone disease have a detrimental effect on quality of life. Bone-modifying medications such as bisphosphonates or denosumab are used to treat myeloma bone disease. These substances can lessen bone pain and the chance of pathological fracture, but they do not stimulate the growth of new bone or heal already damaged bone. In order to conduct this study, we searched the PubMed, Google Scholar, and Cochrane databases for complete free papers published in English and studied people over the previous five years, starting in 2018. The search covered randomized clinical trials (RCT), observational studies, meta-analyses, systemic reviews, and conventional reviews. Twenty-five publications are picked after using quality evaluation techniques to determine the type of study. These papers' full-text articles are investigated, examined, and tallied. We spoke about the various treatments for bone damage in multiple myeloma. It was discovered that bisphosphonates lessen the frequency and severity of bone problems. However, we are unsure of their contribution to survival. Although these medicines enhance life quality, it is unknown if they also increase overall survival. The focus of this study is on several kinds of bone-modifying drugs, their processes of action, the point at which therapy is started, how long it lasts, and any possible mortality advantages.
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Affiliation(s)
- Nida Tanveer
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Sally Hussein
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Shravya Pingili
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
- Medicine, Kakatiya Medical College, Hyderabad, IND
| | - Vijaya Krishna Makkena
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
- MBBS, Osmania Medical College, Hyderabad, IND
| | - Arturo P Jaramillo
- General Practice, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Babatope L Awosusi
- Pathology and Laboratory Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Javaria Ayyub
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Karan Nareshbhai Dabhi
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Namra V Gohil
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
- Internal Medicine, Medical College Baroda, Vadodara, IND
| | - Pousette Hamid
- Neurology, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
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29
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Rizq O, Mimura N, Oshima M, Momose S, Takayama N, Itokawa N, Koide S, Shibamiya A, Miyamoto-Nagai Y, Rizk M, Nakajima-Takagi Y, Aoyama K, Wang C, Saraya A, Ito R, Seimiya M, Watanabe M, Yamasaki S, Shibata T, Yamaguchi K, Furukawa Y, Chiba T, Sakaida E, Nakaseko C, Tamaru JI, Tai YT, Anderson KC, Honda H, Iwama A. UTX inactivation in germinal center B cells promotes the development of multiple myeloma with extramedullary disease. Leukemia 2023; 37:1895-1907. [PMID: 37198323 PMCID: PMC10457198 DOI: 10.1038/s41375-023-01928-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 05/01/2023] [Accepted: 05/04/2023] [Indexed: 05/19/2023]
Abstract
UTX/KDM6A, a histone H3K27 demethylase and a key component of the COMPASS complex, is frequently lost or mutated in cancer; however, its tumor suppressor function remains largely uncharacterized in multiple myeloma (MM). Here, we show that the conditional deletion of the X-linked Utx in germinal center (GC) derived cells collaborates with the activating BrafV600E mutation and promotes induction of lethal GC/post-GC B cell malignancies with MM-like plasma cell neoplasms being the most frequent. Mice that developed MM-like neoplasms showed expansion of clonal plasma cells in the bone marrow and extramedullary organs, serum M proteins, and anemia. Add-back of either wild-type UTX or a series of mutants revealed that cIDR domain, that forms phase-separated liquid condensates, is largely responsible for the catalytic activity-independent tumor suppressor function of UTX in MM cells. Utx loss in concert with BrafV600E only slightly induced MM-like profiles of transcriptome, chromatin accessibility, and H3K27 acetylation, however, it allowed plasma cells to gradually undergo full transformation through activation of transcriptional networks specific to MM that induce high levels of Myc expression. Our results reveal a tumor suppressor function of UTX in MM and implicate its insufficiency in the transcriptional reprogramming of plasma cells in the pathogenesis of MM.
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Affiliation(s)
- Ola Rizq
- Division of Stem Cell and Molecular Medicine, Center for Stem Cell Biology and Regenerative Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Cellular and Molecular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Department of Hematology, Chiba University Hospital, Chiba, Japan
- Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Naoya Mimura
- Department of Hematology, Chiba University Hospital, Chiba, Japan.
- Department of Transfusion Medicine and Cell Therapy, Chiba University Hospital, Chiba, Japan.
| | - Motohiko Oshima
- Division of Stem Cell and Molecular Medicine, Center for Stem Cell Biology and Regenerative Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Cellular and Molecular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Shuji Momose
- Department of Pathology, Saitama Medical Center, Saitama Medical University, Kawagoe, Japan
| | - Naoya Takayama
- Department of Regenerative Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Naoki Itokawa
- Division of Stem Cell and Molecular Medicine, Center for Stem Cell Biology and Regenerative Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Shuhei Koide
- Division of Stem Cell and Molecular Medicine, Center for Stem Cell Biology and Regenerative Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Asuka Shibamiya
- Department of Hematology, Chiba University Hospital, Chiba, Japan
| | | | - Mohamed Rizk
- Division of Stem Cell and Molecular Medicine, Center for Stem Cell Biology and Regenerative Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Cellular and Molecular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yaeko Nakajima-Takagi
- Division of Stem Cell and Molecular Medicine, Center for Stem Cell Biology and Regenerative Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Cellular and Molecular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Kazumasa Aoyama
- Division of Stem Cell and Molecular Medicine, Center for Stem Cell Biology and Regenerative Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Cellular and Molecular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Changshan Wang
- Department of Cellular and Molecular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Atsunori Saraya
- Department of Cellular and Molecular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Ryoji Ito
- Central Institute for Experimental Animals, Kanagawa, Japan
| | - Masanori Seimiya
- Department of Medical Technology and Sciences, School of Health Sciences at Narita, International University of Health and Welfare, Narita, Japan
| | - Mariko Watanabe
- Department of Clinical Laboratory, Chiba University Hospital, Chiba, Japan
| | - Satoshi Yamasaki
- Laboratory of Molecular Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tatsuhiro Shibata
- Laboratory of Molecular Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kiyoshi Yamaguchi
- Division of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tetsuhiro Chiba
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Emiko Sakaida
- Department of Hematology, Chiba University Hospital, Chiba, Japan
- Department of Transfusion Medicine and Cell Therapy, Chiba University Hospital, Chiba, Japan
| | - Chiaki Nakaseko
- Department of Hematology, International University of Health and Welfare, Narita, Japan
| | - Jun-Ichi Tamaru
- Department of Pathology, Saitama Medical Center, Saitama Medical University, Kawagoe, Japan
| | - Yu-Tzu Tai
- Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Kenneth C Anderson
- Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Hiroaki Honda
- Field of Human Disease Models, Major in Advanced Life Sciences and Medicine, Institute of Laboratory Animals, Tokyo Women's Medical University, Tokyo, Japan
| | - Atsushi Iwama
- Division of Stem Cell and Molecular Medicine, Center for Stem Cell Biology and Regenerative Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
- Department of Cellular and Molecular Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
- Laboratoty of Cellular and Molecular Chemistry, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
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30
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John L, Poos AM, Brobeil A, Schinke C, Huhn S, Prokoph N, Lutz R, Wagner B, Zangari M, Tirier SM, Mallm JP, Schumacher S, Vonficht D, Solé-Boldo L, Quick S, Steiger S, Przybilla MJ, Bauer K, Baumann A, Hemmer S, Rehnitz C, Lückerath C, Sachpekidis C, Mechtersheimer G, Haberkorn U, Dimitrakopoulou-Strauss A, Reichert P, Barlogie B, Müller-Tidow C, Goldschmidt H, Hillengass J, Rasche L, Haas SF, van Rhee F, Rippe K, Raab MS, Sauer S, Weinhold N. Resolving the spatial architecture of myeloma and its microenvironment at the single-cell level. Nat Commun 2023; 14:5011. [PMID: 37591845 PMCID: PMC10435504 DOI: 10.1038/s41467-023-40584-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 08/02/2023] [Indexed: 08/19/2023] Open
Abstract
In multiple myeloma spatial differences in the subclonal architecture, molecular signatures and composition of the microenvironment remain poorly characterized. To address this shortcoming, we perform multi-region sequencing on paired random bone marrow and focal lesion samples from 17 newly diagnosed patients. Using single-cell RNA- and ATAC-seq we find a median of 6 tumor subclones per patient and unique subclones in focal lesions. Genetically identical subclones display different levels of spatial transcriptional plasticity, including nearly identical profiles and pronounced heterogeneity at different sites, which can include differential expression of immunotherapy targets, such as CD20 and CD38. Macrophages are significantly depleted in the microenvironment of focal lesions. We observe proportional changes in the T-cell repertoire but no site-specific expansion of T-cell clones in intramedullary lesions. In conclusion, our results demonstrate the relevance of considering spatial heterogeneity in multiple myeloma with potential implications for models of cell-cell interactions and disease progression.
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Affiliation(s)
- Lukas John
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alexandra M Poos
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alexander Brobeil
- Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Stefanie Huhn
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Nina Prokoph
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Raphael Lutz
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
- Division of Stem Cells and Cancer, German Cancer Research Center (DKFZ) and DKFZ-ZMBH Alliance, Heidelberg, Germany
| | - Barbara Wagner
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Maurizio Zangari
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Stephan M Tirier
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Jan-Philipp Mallm
- Single Cell Open Lab, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Sabrina Schumacher
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Dominik Vonficht
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
- Division of Stem Cells and Cancer, German Cancer Research Center (DKFZ) and DKFZ-ZMBH Alliance, Heidelberg, Germany
| | - Llorenç Solé-Boldo
- Institute of Health (BIH) at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Department of Hematology, Oncology and Tumor Immunology, Charité University Medicine, Berlin, Germany
| | - Sabine Quick
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Simon Steiger
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Moritz J Przybilla
- Division Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Katharina Bauer
- Single Cell Open Lab, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Anja Baumann
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefan Hemmer
- Department of Orthopedic Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Christoph Rehnitz
- Department of Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Christian Lückerath
- Department of Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Christos Sachpekidis
- Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Uwe Haberkorn
- Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Antonia Dimitrakopoulou-Strauss
- Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Philipp Reichert
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Bart Barlogie
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Carsten Müller-Tidow
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Jens Hillengass
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Leo Rasche
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
- Mildred Scheel Early Career Center (MSNZ), University Hospital of Würzburg, Würzburg, Germany
| | - Simon F Haas
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
- Institute of Health (BIH) at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Department of Hematology, Oncology and Tumor Immunology, Charité University Medicine, Berlin, Germany
| | - Frits van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Karsten Rippe
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and BioQuant, Heidelberg, Germany
| | - Marc S Raab
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sandra Sauer
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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31
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Ishibashi M, Takahashi M, Yamaya T, Imai Y. Current and Future PET Imaging for Multiple Myeloma. Life (Basel) 2023; 13:1701. [PMID: 37629558 PMCID: PMC10455506 DOI: 10.3390/life13081701] [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: 06/07/2023] [Revised: 07/26/2023] [Accepted: 08/05/2023] [Indexed: 08/27/2023] Open
Abstract
Positron emission tomography (PET) is an imaging modality used for the noninvasive assessment of tumor staging and response to therapy. PET with 18F labeled fluorodeoxyglucose (18F-FDG PET) is widely used to assess the active and inactive lesions in patients with multiple myeloma (MM). Despite the availability of 18F-FDG PET for the management of MM, PET imaging is less sensitive than next-generation flow cytometry and sequencing. Therefore, the novel PET radiotracers 64Cu-LLP2A, 68Ga-pentixafor, and 89Zr-daratumumab have been developed to target the cell surface antigens of MM cells. Furthermore, recent studies attempted to visualize the tumor-infiltrating lymphocytes using PET imaging in patients with cancer to investigate their prognostic effect; however, these studies have not yet been performed in MM patients. This review summarizes the recent studies on PET with 18F-FDG and novel radiotracers for the detection of MM and the resulting preclinical research using MM mouse models and clinical studies. Novel PET technologies may be useful for developing therapeutic strategies for MM in the future.
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Affiliation(s)
- Mariko Ishibashi
- Department of Microbiology and Immunology, Nippon Medical School, Tokyo 113-8602, Japan;
| | - Miwako Takahashi
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; (M.T.); (T.Y.)
| | - Taiga Yamaya
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; (M.T.); (T.Y.)
| | - Yoichi Imai
- Department of Hematology and Oncology, Dokkyo Medical University, Tochigi 321-0293, Japan
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32
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Rodríguez‐García Y, Martínez‐Moreno M, Alonso L, Sánchez‐Vencells A, Arranz A, Dagà‐Millán R, Sevilla‐Movilla S, Valeri A, Martínez‐López J, Teixidó J. Regulation of miRNA expression by α4β1 integrin-dependent multiple myeloma cell adhesion. EJHAEM 2023; 4:631-638. [PMID: 37601846 PMCID: PMC10435698 DOI: 10.1002/jha2.756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 07/07/2023] [Indexed: 08/22/2023]
Abstract
The α4β1 integrin regulates the trafficking of multiple myeloma (MM) cells and contributes to MM disease progression. MicroRNAs (miRNAs) can have both tumor suppressor and oncogenic roles and thus are key controllers of tumor evolution, and have been associated with different phases of MM pathogenesis. Using small RNAseq analysis, we show here that α4β1-dependent MM cell adhesion regulates the expression of forty different miRNAs, therefore expanding our current view of the α4β1 involvement in MM cell biology. Specific upregulation of miR-324-5p and miR-331-3p in cells attached to α4β1 ligands was confirmed upon silencing the α4 integrin subunit, and their increased levels found to be dependent on Erk1/2- and PI3K-Akt-, but not Src-dependent signaling. Enhanced miR-324-5p expression upon α4β1-mediated MM cell adhesion aimed the hedgehog (Hh) component SMO, revealing that the miR-324-5p-SMO module represents a α4β1-regulated pathway that could control Hh-dependent cellular responses in myeloma. Our results open new therapy research avenues around the α4β1 contribution to MM progression that deserve to be investigated.
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Affiliation(s)
- Yaiza Rodríguez‐García
- Department of Molecular BiomedicineCentro de Investigaciones Biológicas Margarita Salas (CSIC)MadridSpain
| | - Mónica Martínez‐Moreno
- Department of Molecular BiomedicineCentro de Investigaciones Biológicas Margarita Salas (CSIC)MadridSpain
| | - Lola Alonso
- Genetic and Molecular Epidemiology GroupSpanish National Cancer Research Centre and CIBERONCMadridSpain
| | - Anna Sánchez‐Vencells
- Department of Molecular BiomedicineCentro de Investigaciones Biológicas Margarita Salas (CSIC)MadridSpain
| | - Alicia Arranz
- Department of Molecular BiomedicineCentro de Investigaciones Biológicas Margarita Salas (CSIC)MadridSpain
| | - Roger Dagà‐Millán
- Department of Molecular BiomedicineCentro de Investigaciones Biológicas Margarita Salas (CSIC)MadridSpain
| | - Silvia Sevilla‐Movilla
- Department of Molecular BiomedicineCentro de Investigaciones Biológicas Margarita Salas (CSIC)MadridSpain
| | - Antonio Valeri
- Department of Translational HematologyCNIO‐ISCIII, CIBERONCHospital Universitario 12 de Octubre, imas12Universidad ComplutenseMadridSpain
| | - Joaquin Martínez‐López
- Department of Translational HematologyCNIO‐ISCIII, CIBERONCHospital Universitario 12 de Octubre, imas12Universidad ComplutenseMadridSpain
| | - Joaquin Teixidó
- Department of Molecular BiomedicineCentro de Investigaciones Biológicas Margarita Salas (CSIC)MadridSpain
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33
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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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34
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Aljabban J, Syed S, Syed S, Rohr M, Mukhtar M, Aljabban H, Cottini F, Mohammed M, Hughes T, Gonzalez T, Panahiazr M, Hadley D, Benson D. Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data. Heliyon 2023; 9:e17298. [PMID: 37539132 PMCID: PMC10394915 DOI: 10.1016/j.heliyon.2023.e17298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 08/05/2023] Open
Abstract
The etiology of monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM) is still obscure as are the processes that enable the progression of MGUS to MM. Understanding the unique vs. shared transcriptomes can potentially elucidate why individuals develop one or the other. Furthermore, highlighting key pathways and genes involved in the pathogenesis of MM or the development of MGUS to MM may allow the discovery of novel drug targets and therapies. We employed STARGEO platform to perform three separate meta-analysis to compare MGUS and MM transcriptomes. For these analyses we tagged (1) 101 MGUS patient plasma cells from bone marrow samples and 64 plasma cells from healthy controls (2) 383 MM patient CD138+ cells from bone marrow and the 101 MGUS samples in the first analysis as controls (3) 517 MM patient peripheral blood samples and 97 peripheral blood samples from healthy controls. We then utilized Ingenuity Pathway Analysis (IPA) to analyze the unique genomic signatures within and across these samples. Our study identified genes that may have unique roles in MGUS (GADD45RA and COMMD3), but also newly identified signaling pathways (EIF2, JAK/STAT, and MYC) and gene activity (NRG3, RBFOX2, and PARP15) in MGUS that have previously been shown to be involved in MM suggesting a spectrum of molecular overlap. On the other hand, genes such as DUSP4, RN14, LAMP5, differentially upregulated in MM, may be seen as tipping the scales from benignity to malignancy and could serve as drug targets or novel biomarkers for risk of progression. Furthermore, our analysis of MM identified newly associated gene/pathway activity such as inhibition of Wnt-signaling and defective B cell development. Finally, IPA analysis, suggests the multifactorial, oncogenic qualities of IFNγ signaling in MM may be a unifying pathway for these diverse mechanisms and prompts the need for further studies.
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Affiliation(s)
- Jihad Aljabban
- University of Wisconsin Hospital and Clinics, Department of Medicine, United States
| | - Sharjeel Syed
- University of Chicago Medical Center, Department of Medicine, United States
| | - Saad Syed
- Northwestern Memorial Hospital, Department of Medicine, United States
| | - Michael Rohr
- University of Central Florida College of Medicine, United States
| | - Mohamed Mukhtar
- Michigan State University College of Human Medicine, United States
| | | | - Francesca Cottini
- Ohio State University Wexner Medical Center, United States
- James Cancer Hospital Solove Research Institute, United States
| | | | - Tiffany Hughes
- Ohio State University Wexner Medical Center, United States
| | | | - Maryam Panahiazr
- University of California San Francisco, Department of Surgery, United States
| | - Dexter Hadley
- University of Central Florida College of Medicine, United States
- University of Central Florida, Chief of the Department of Artificial Intelligence, United States
| | - Don Benson
- Ohio State University Wexner Medical Center, United States
- James Cancer Hospital Solove Research Institute, United States
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35
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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: 8] [Impact Index Per Article: 8.0] [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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36
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Zeng T, Jiang S, Wang Y, Sun G, Cao J, Hu D, Wang G, Liang X, Ding J, Du J. Identification and validation of a cellular senescence-related lncRNA signature for prognostic prediction in patients with multiple myeloma. Cell Cycle 2023; 22:1434-1449. [PMID: 37227248 PMCID: PMC10281485 DOI: 10.1080/15384101.2023.2213926] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/01/2023] [Accepted: 04/21/2023] [Indexed: 05/26/2023] Open
Abstract
Multiple myeloma (MM) is the second most common hematologic malignancy, which primarily occurs in the elderly. Cellular senescence is considered to be closely associated with the occurrence and progression of malignant tumors including MM, and lncRNA can mediate the process of cellular senescence by regulating key signaling pathways such as p53/p21 and p16/RB. However, the role of cellular senescence related lncRNAs (CSRLs) in MM development has never been reported. Herein, we identified 11 CSRLs (AC004918.5, AC103858.1, AC245100.4, ACBD3-AS1, AL441992.2, ATP2A1-AS1, CCDC18-AS1, LINC00996, TMEM161B-AS1, RP11-706O15.1, and SMURF2P1) to build the CSRLs risk model, which was confirmed to be highly associated with overall survival (OS) of MM patients. We further demonstrated the strong prognostic value of the risk model in MM patients receiving different regimens, especially for those with three-drug combination of bortezomib, lenalidomide, and dexamethasone (VRd) as first-line therapy. Not only that, our risk model also excels in predicting the OS of MM patients at 1, 2, and 3 years. In order to verify the function of these CSRLs in MM, we selected the lncRNA ATP2A1-AS1 which presented the largest expression difference between high-risk groups and low-risk groups for subsequent analysis and validation. Finally, we found that down-regulation of ATP2A1-AS1 can promote cellular senescence in MM cell lines. In conclusion, the CSRLs risk model established in present study provides a novel and more accurate method for predicting MM patients' prognosis and identifies a new target for MM therapeutic intervention.
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Affiliation(s)
- Tanlun Zeng
- Clinical Cancer Institute, Center for Translational Medicine, Naval Medical University, Shanghai, China
| | - Sihan Jiang
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Yichuan Wang
- Clinical Cancer Institute, Center for Translational Medicine, Naval Medical University, Shanghai, China
| | - Guanqun Sun
- Clinical Cancer Institute, Center for Translational Medicine, Naval Medical University, Shanghai, China
| | - Jinjin Cao
- Clinical Cancer Institute, Center for Translational Medicine, Naval Medical University, Shanghai, China
| | - Dingtao Hu
- Clinical Cancer Institute, Center for Translational Medicine, Naval Medical University, Shanghai, China
| | - Guang Wang
- Clinical Cancer Institute, Center for Translational Medicine, Naval Medical University, Shanghai, China
| | - Xijun Liang
- Clinical Cancer Institute, Center for Translational Medicine, Naval Medical University, Shanghai, China
| | - Jin Ding
- Clinical Cancer Institute, Center for Translational Medicine, Naval Medical University, Shanghai, China
| | - Juan Du
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China
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37
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Yu X, Ruan W, Lin F, Qian W, Zou Y, Liu Y, Su R, Niu Q, Ruan Q, Lin W, Zhu Z, Zhang H, Yang C. Digital microfluidics-based digital counting of single-cell copy number variation (dd-scCNV Seq). Proc Natl Acad Sci U S A 2023; 120:e2221934120. [PMID: 37155890 PMCID: PMC10193948 DOI: 10.1073/pnas.2221934120] [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: 12/27/2022] [Accepted: 04/08/2023] [Indexed: 05/10/2023] Open
Abstract
Single-cell copy number variations (CNVs), major dynamic changes in humans, result in differential levels of gene expression and account for adaptive traits or underlying disease. Single-cell sequencing is needed to reveal these CNVs but has been hindered by single-cell whole-genome amplification (scWGA) bias, leading to inaccurate gene copy number counting. In addition, most of the current scWGA methods are labor intensive, time-consuming, and expensive with limited wide application. Here, we report a unique single-cell whole-genome library preparation approach based on digital microfluidics for digital counting of single-cell Copy Number Variation (dd-scCNV Seq). dd-scCNV Seq directly fragments the original single-cell DNA and uses these fragments as templates for amplification. These reduplicative fragments can be filtered computationally to generate the original partitioned unique identified fragments, thereby enabling digital counting of copy number variation. dd-scCNV Seq showed an increase in uniformity in the single-molecule data, leading to more accurate CNV patterns compared to other methods with low-depth sequencing. Benefiting from digital microfluidics, dd-scCNV Seq allows automated liquid handling, precise single-cell isolation, and high-efficiency and low-cost genome library preparation. dd-scCNV Seq will accelerate biological discovery by enabling accurate profiling of copy number variations at single-cell resolution.
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Affiliation(s)
- Xiyuan Yu
- Key Laboratory of Spectrochemical Analysis and Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen361005, China
| | - Weidong Ruan
- Key Laboratory of Spectrochemical Analysis and Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen361005, China
| | - Fanghe Lin
- Key Laboratory of Spectrochemical Analysis and Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen361005, China
| | - Weizhou Qian
- Key Laboratory of Spectrochemical Analysis and Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen361005, China
| | - Yuan Zou
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing400016, China
| | - Yilong Liu
- Key Laboratory of Spectrochemical Analysis and Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen361005, China
| | - Rui Su
- Department of Hematology, The First Affiliated Hospital of Xiamen University, Xiamen361005, China
| | - Qi Niu
- Key Laboratory of Spectrochemical Analysis and Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen361005, China
| | - Qingyu Ruan
- Key Laboratory of Spectrochemical Analysis and Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen361005, China
| | - Wei Lin
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province, Xiamen361005, China
| | - Zhi Zhu
- Key Laboratory of Spectrochemical Analysis and Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen361005, China
| | - Huimin Zhang
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province, Xiamen361005, China
| | - Chaoyong Yang
- Key Laboratory of Spectrochemical Analysis and Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province, Xiamen361005, China
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38
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Escrivá-Fernández J, Cueto-Ureña C, Solana-Orts A, Lledó E, Ballester-Lurbe B, Poch E. A CRISPR interference strategy for gene expression silencing in multiple myeloma cell lines. J Biol Eng 2023; 17:34. [PMID: 37143063 PMCID: PMC10161638 DOI: 10.1186/s13036-023-00347-7] [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: 01/13/2022] [Accepted: 04/03/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND Multiple myeloma (MM) is the second most common hematologic neoplasm which is characterized by proliferation and infiltration of plasmatic cells in the bone marrow. Currently, MM is considered incurable due to resistance to treatment. The CRISPR/Cas9 system has emerged as a powerful tool for understanding the role of different genetic alterations in the pathogenesis of hematologic malignancies in both cell lines and mouse models. Despite current advances of gene editing tools, the use of CRISPR/Cas9 technology for gene editing of MM have not so far been extended. In this work, we want to repress Rnd3 expression, an atypical Rho GTPase involved in several cellular processes, in MM cell lines using a CRISPR interference strategy. RESULTS We have designed different guide RNAs and cloning them into a lentiviral plasmid, which contains all the machinery necessary for developing the CRISPR interference strategy. We co-transfected the HEK 293T cells with this lentiviral plasmid and 3rd generation lentiviral envelope and packaging plasmids to produce lentiviral particles. The lentiviral particles were used to transduce two different multiple myeloma cell lines, RPMI 8226 and JJN3, and downregulate Rnd3 expression. Additionally, the impact of Rnd3 expression absence was analyzed by a transcriptomic analysis consisting of 3' UTR RNA sequencing. The Rnd3 knock-down cells showed a different transcriptomic profile in comparison to control cells. CONCLUSIONS We have developed a CRISPR interference strategy to generate stable Rnd3 knockdown MM cell lines by lentiviral transduction. We have evaluated this strategy in two MM cell lines, and we have demonstrated that Rnd3 silencing works both at transcriptional and protein level. Therefore, we propose CRISPR interference strategy as an alternative tool to silence gene expression in MM cell lines. Furthermore, Rnd3 silencing produces changes in the cellular transcriptomic profile.
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Affiliation(s)
- Josep Escrivá-Fernández
- Department of Biomedical Sciences, School of Health Sciences, Universidad Cardenal Herrera-CEU, CEU Universities, Alfara del Patriarca, E-46115, Valencia, Spain
| | - Cristina Cueto-Ureña
- Department of Biomedical Sciences, School of Health Sciences, Universidad Cardenal Herrera-CEU, CEU Universities, Alfara del Patriarca, E-46115, Valencia, Spain
- Experimental and Clinical Physiopathology Research Group CTS-1039, Department of Health Sciences, School of Health Sciences, University of Jaén, E-23071, Jaén, Spain
| | - Amalia Solana-Orts
- Department of Biomedical Sciences, School of Health Sciences, Universidad Cardenal Herrera-CEU, CEU Universities, Alfara del Patriarca, E-46115, Valencia, Spain
| | - Elisa Lledó
- Department of Biomedical Sciences, School of Health Sciences, Universidad Cardenal Herrera-CEU, CEU Universities, Alfara del Patriarca, E-46115, Valencia, Spain
| | - Begoña Ballester-Lurbe
- Department of Biomedical Sciences, School of Health Sciences, Universidad Cardenal Herrera-CEU, CEU Universities, Alfara del Patriarca, E-46115, Valencia, Spain.
- Department of Biomedical Sciences. School of Health Sciences, Universidad Cardenal Herrera-CEU, C/ Ramón y Cajal s/n, E-46115 Alfara del Patriarca, Valencia, Spain.
| | - Enric Poch
- Department of Biomedical Sciences, School of Health Sciences, Universidad Cardenal Herrera-CEU, CEU Universities, Alfara del Patriarca, E-46115, Valencia, Spain.
- Department of Biomedical Sciences. School of Health Sciences, Universidad Cardenal Herrera-CEU, C/ Ramón y Cajal s/n, E-46115 Alfara del Patriarca, Valencia, Spain.
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Gagelmann N, Eikema DJ, Koster L, Netelenbos T, McDonald A, Stoppa AM, Fenk R, Anagnostopoulos A, van Gorkom G, Deconinck E, Bulabois CE, Delforge M, Bunjes D, Arcese W, Reményi P, Itälä-Remes M, Thurner L, Bolaman AZ, Nabil Y, Lund J, Labussière-Wallet H, Hayden PJ, Beksac M, Schönland S, Yakoub-Agha I. Impact of newly diagnosed extramedullary myeloma on outcome after first autograft followed by maintenance: A CMWP-EBMT study. Eur J Haematol 2023. [PMID: 37082839 DOI: 10.1111/ejh.13981] [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: 02/13/2023] [Revised: 04/11/2023] [Accepted: 04/12/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND No adequate data exist on the impact of multiple myeloma (MM) with extramedullary disease (EMD) after autograft and maintenance therapy. METHODS We identified 808 patients with newly diagnosed MM who received first autograft, of whom 107 had EMD (83 paraskeletal and 24 organ involvement), and who had been reported to the EBMT registry December 2018. Distribution according to type of involvement was similar between the treatment groups (p = .69). For EMD, 46 (40%) received thalidomide, 59 (51%) lenalidomide, and 11 (10%) bortezomib. RESULTS The median follow-up from maintenance start was 44 months. Three-year progression-free survival (PFS) was 52% (48%-57%) for no EMD, 56% (44%-69%) for paraskeletal involvement, and 45% (22%-68%) for organ involvement (p = .146). Early PFS (within first year) appeared to be significantly worse for organ involvement (hazard ratio, 3.40), while no significant influence was found after first year from maintenance start. Three-year overall survival (OS) was 81% (77%-84%), 88% (80%-96%), and 68% (47%-89%; p = .064), respectively. With thalidomide as reference, lenalidomide was significantly associated with better PFS and OS, whereas bortezomib appeared to improve outcome specifically in EMD. CONCLUSION Lenalidomide maintenance is standard of care for MM without EMD, whereas extramedullary organ involvement remains a significant risk factor for worse outcome, especially for early events after maintenance start.
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Affiliation(s)
- Nico Gagelmann
- Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dirk-Jan Eikema
- Department of Statistics, Leiden University Medical Centre, Leiden, The Netherlands
| | | | | | - Andrew McDonald
- Alberts Cellular Therapy, Pretoria East Hospital, Pretoria, South Africa
| | | | - Roland Fenk
- Department of Hematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | | | - Gwendolyn van Gorkom
- Department of Internal Medicine, Division of Hematology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Eric Deconinck
- Clinical Hematology, Besançon University Hospital, Besançon, France
| | - Claude-Eric Bulabois
- Service d'Hematologie, CHU Grenoble Alpes-Universite Grenoble Alpes, Grenoble, France
| | | | - Donald Bunjes
- Department of Internal Medicine III, Bone Marrow Transplantation Unit, University Hospital of Ulm, Ulm, Germany
| | - William Arcese
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Péter Reményi
- St. István and St. László Hospital of Budapest, Budapest, Hungary
| | - Maija Itälä-Remes
- Turku University Hospital, Stem Cell Transplantation Unit, Turku, Finland
| | - Lorenz Thurner
- Department of Oncology, Hematology, Rheumatology and Clinical Immunology, Saarland University Medical Center, Homburg, Germany
| | - Ali Zahit Bolaman
- Internal Medicine, Division of Hematology, Adnan Menderes University, Aydin, Turkey
| | - Yafour Nabil
- Établissement hospitalier et universitaire, Service d'hématologie et de thérapie cellulaire, Université d'Oran 1, Ahmed Ben Bella, faculté de médecine, Oran, Algeria
| | - Johan Lund
- Department of Cellular Therapy and Allogeneic Stem Cell Transplantation, Karolinska Institute & University Hospital, Stockholm, Sweden
| | | | - Patrick J Hayden
- Department of Haematology, St. James's Hospital, Dublin, Ireland
| | | | - Stefan Schönland
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Heidelberg, Germany
| | - Ibrahim Yakoub-Agha
- INSERM U1286, Centre Hospitalier Universitaire de Lille LIRIC, Lille, France
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40
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Jerbi A, Turki O, Hachicha H, Kallel Sarbeji F, Feki S, Mejdoub S, Kammoun K, Ben Hmida M, Elloumi M, Masmoudi H. The presence of two light chain bands on immunofixation is associated with poor outcomes in newly diagnosed multiple myeloma patients. Ann Hematol 2023; 102:1459-1466. [PMID: 37060464 DOI: 10.1007/s00277-023-05221-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/10/2023] [Indexed: 04/16/2023]
Abstract
We aimed to describe the clinical and biological characteristics and the prognosis of patients presenting with an additional light chain (LC) band along with a complete monoclonal protein on immunofixation (IF).An 8-year descriptive study was conducted to assess all cases with confirmed monoclonal gammopathies (MG). We studied those with an entire M-protein with 2 bands of LC of the same isotype based on the results of IF. Data were collected from patients' files.Among 548 cases of MG, we found 32 cases (5.8%) with an additional LC band. We included 28 patients (5%) with a confirmed diagnosis of multiple myeloma (MM). The m/f ratio was 2.5 with a median age of 63 years [32-80 years]. All MM patients had anemia, 16 (57%) had renal failure, 14 (50%) had lytic lesions, 9 (32%) received hemodialysis, and 7 (25%) had hypercalcemia. The free-kappa-lambda ratio was abnormal in all cases: median = 0.07 [0.002-58.57]. The mean overall survival (OS) was 22 months ± 38.76.Fifteen MM patients (48%) received chemotherapy, and 7 (22%) autologous stem cell transplants (SCT). Patients who received SCT had an OS higher than those who received other treatments (p = 0.038). OS was low in patients with high β2microglobulin levels (rho = -0.791; p = 0.001), and abnormally low free-kappa-lambda ratio (rho = -0.852;p = 0.04).The presence of an additional LC band with a complete monoclonal protein seems to identify newly diagnosed MM patients with poor outcomes and frequent renal impairment.
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Affiliation(s)
- Ameni Jerbi
- Immunology Department, Habib Bourguiba University Hospital, University of Sfax, 3000, Sfax, Tunisia.
| | - Omar Turki
- Immunology Department, Habib Bourguiba University Hospital, University of Sfax, 3000, Sfax, Tunisia
| | - Hend Hachicha
- Immunology Department, Habib Bourguiba University Hospital, University of Sfax, 3000, Sfax, Tunisia
| | - Faten Kallel Sarbeji
- Hematology Department, Hedi Chaker University Hospital, University of Sfax, 3000, Sfax, Tunisia
| | - Sawsan Feki
- Immunology Department, Habib Bourguiba University Hospital, University of Sfax, 3000, Sfax, Tunisia
| | - Sabrina Mejdoub
- Immunology Department, Habib Bourguiba University Hospital, University of Sfax, 3000, Sfax, Tunisia
| | - Khaoula Kammoun
- Nephrology Department, Hedi Chaker University Hospital, University of Sfax, 3000, Sfax, Tunisia
| | - Mohamed Ben Hmida
- Nephrology Department, Hedi Chaker University Hospital, University of Sfax, 3000, Sfax, Tunisia
| | - Moez Elloumi
- Hematology Department, Hedi Chaker University Hospital, University of Sfax, 3000, Sfax, Tunisia
| | - Hatem Masmoudi
- Immunology Department, Habib Bourguiba University Hospital, University of Sfax, 3000, Sfax, Tunisia
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Lannes R, Samur M, Perrot A, Mazzotti C, Divoux M, Cazaubiel T, Leleu X, Schavgoulidze A, Chretien ML, Manier S, Adiko D, Orsini-Piocelle F, Lifermann F, Brechignac S, Gastaud L, Bouscary D, Macro M, Cleynen A, Mohty M, Munshi N, Corre J, Avet-Loiseau H. In Multiple Myeloma, High-Risk Secondary Genetic Events Observed at Relapse Are Present From Diagnosis in Tiny, Undetectable Subclonal Populations. J Clin Oncol 2023; 41:1695-1702. [PMID: 36343306 PMCID: PMC10043564 DOI: 10.1200/jco.21.01987] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 06/22/2022] [Accepted: 09/22/2022] [Indexed: 11/09/2022] Open
Abstract
PURPOSE Multiple myeloma (MM) is characterized by copy number abnormalities (CNAs), some of which influence patient outcomes and are sometimes observed only at relapse(s), suggesting their acquisition during tumor evolution. However, the presence of micro-subclones may be missed in bulk analyses. Here, we use single-cell genomics to determine how often these high-risk events are missed at diagnosis and selected at relapse. MATERIALS AND METHODS We analyzed 81 patients with plasma cell dyscrasias using single-cell CNA sequencing. Sixty-six patients were selected at diagnosis, nine at first relapse, and six in presymptomatic stages. A total of 956 newly diagnosed patients with MM and patients with first relapse MM have been identified retrospectively with required cytogenetic data to evaluate enrichment of CNA risk events and survival impact. RESULTS A total of 52,176 MM cells were analyzed. Seventy-four patients (91%) had 2-16 subclones. Among these patients, 28.7% had a subclone with high-risk features (del(17p), del(1p32), and 1q gain) at diagnosis. In a patient with a subclonal 1q gain at diagnosis, we analyzed the diagnosis, postinduction, and first relapse samples, which showed a rise of the high-risk 1q gain subclone (16%, 70%, and 92%, respectively). In our clinical database, we found that the 1q gain frequency increased from 30.2% at diagnosis to 43.6% at relapse (odds ratio, 1.78; 95% CI, 1.58 to 2.00). We subsequently performed survival analyses, which showed that the progression-free and overall survival curves were superimposable between patients who had the 1q gain from diagnosis and those who seemingly acquired it at relapse. This strongly suggests that many patients had 1q gains at diagnosis in microclones that were missed by bulk analyses. CONCLUSION These data suggest that identifying these scarce aggressive cells may necessitate more aggressive treatment as early as diagnosis to prevent them from becoming the dominant clone.
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Affiliation(s)
- Romain Lannes
- Myeloma Oncogenesis Lab, IUC-Oncopole, Toulouse, France
- CRCT, INSERM U1037, Toulouse, France
| | - Mehmet Samur
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Aurore Perrot
- CRCT, INSERM U1037, Toulouse, France
- Hematology Department, IUC-Oncopole, Toulouse, France
| | - Celine Mazzotti
- Myeloma Oncogenesis Lab, IUC-Oncopole, Toulouse, France
- CRCT, INSERM U1037, Toulouse, France
| | - Marion Divoux
- Hematology Department, University Hospital, Nancy, France
| | | | - Xavier Leleu
- Hematology Department, University Hospital, Poitiers, France
| | - Anaïs Schavgoulidze
- Myeloma Oncogenesis Lab, IUC-Oncopole, Toulouse, France
- CRCT, INSERM U1037, Toulouse, France
| | | | - Salomon Manier
- Hematology Department, University Hospital, Lille, France
| | - Didier Adiko
- Hematology Department, General Hospital, Libourne, France
| | | | | | | | | | - Didier Bouscary
- Hematology Department, Cochin University Hospital, Paris, France
| | - Margaret Macro
- Hematology Department, University Hospital, Caen, France
| | - Alice Cleynen
- Institut Montpellierain Alexander Grothendieck, CNRS, Montpellier University, Montpellier, France
| | - Mohamad Mohty
- Hematology Department, Saint-Antoine University Hospital, Paris, France
| | - Nikhil Munshi
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Jill Corre
- Myeloma Oncogenesis Lab, IUC-Oncopole, Toulouse, France
- CRCT, INSERM U1037, Toulouse, France
| | - Hervé Avet-Loiseau
- Myeloma Oncogenesis Lab, IUC-Oncopole, Toulouse, France
- CRCT, INSERM U1037, Toulouse, France
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42
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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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Locher M, Jukic E, Vogi V, Keller MA, Kröll T, Schwendinger S, Oberhuber K, Verdorfer I, Mühlegger BE, Witsch-Baumgartner M, Nachbaur D, Willenbacher W, Gunsilius E, Wolf D, Zschocke J, Steiner N. Amp(1q) and tetraploidy are commonly acquired chromosomal abnormalities in relapsed multiple myeloma. Eur J Haematol 2023; 110:296-304. [PMID: 36433728 PMCID: PMC10107198 DOI: 10.1111/ejh.13905] [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: 08/20/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 11/28/2022]
Abstract
Long-term disease control in multiple myeloma (MM) is typically an unmet medical need, and most patients experience multiple relapses. Fluorescence in situ hybridization (FISH) is the standard technique to detect chromosomal abnormalities (CAs), which are important to estimate the prognosis of MM and the allocation of risk adapted therapies. In advanced stages, the importance of CAs needs further investigation. From 148 MM patients, two or more paired samples, at least one of which was collected at relapse, were analyzed by FISH. Using targeted next-generation sequencing, we molecularly investigated samples harboring relapse-associated CAs. Sixty-one percent of the patients showed a change in the cytogenetic profile during the disease course, including 10% who acquired high-risk cytogenetics. Amp(1q) (≥4 copies of 1q21), driven by an additional increase in copy number in patients who already had 3 copies of 1q21, was the most common acquired CA with 16% affected patients. Tetraploidy, found in 10% of the samples collected at the last time-point, was unstable over the course of the disease and was associated with TP53 lesions. Our results indicate that cytogenetic progression is common in relapsed patients. The relatively high frequency of amp(1q) suggests an active role for this CA in disease progression.
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Affiliation(s)
- Maurus Locher
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Emina Jukic
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Verena Vogi
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Markus A Keller
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Teresa Kröll
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Simon Schwendinger
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Klaus Oberhuber
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Irmgard Verdorfer
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Beatrix E Mühlegger
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | | | - David Nachbaur
- Internal Medicine V (Hematology & Oncology), Medical University of Innsbruck, Innsbruck, Austria
| | - Wolfgang Willenbacher
- Internal Medicine V (Hematology & Oncology), Medical University of Innsbruck, Innsbruck, Austria.,syndena GmbH, connect to cure, Innsbruck, Austria
| | - Eberhard Gunsilius
- Internal Medicine V (Hematology & Oncology), Medical University of Innsbruck, Innsbruck, Austria
| | - Dominik Wolf
- Internal Medicine V (Hematology & Oncology), Medical University of Innsbruck, Innsbruck, Austria.,Medical Clinic 3, Oncology, Hematology, Immunoncology and Rheumatology, University Hospital Bonn, Bonn, Germany
| | - Johannes Zschocke
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Normann Steiner
- Internal Medicine V (Hematology & Oncology), Medical University of Innsbruck, Innsbruck, Austria
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44
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Yu X, Wang J, Gong W, Ma A, Shen Y, Zhang C, Liu X, Cai L, Liu J, Wang GG, Jin J. Dissecting and targeting noncanonical functions of EZH2 in multiple myeloma via an EZH2 degrader. Oncogene 2023; 42:994-1009. [PMID: 36747009 PMCID: PMC10040430 DOI: 10.1038/s41388-023-02618-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/25/2023] [Accepted: 01/30/2023] [Indexed: 02/08/2023]
Abstract
Multiple myeloma (MM) is the second most common hematological malignancy with poor prognosis. Enhancer of zeste homolog 2 (EZH2) is the enzymatic subunit of polycomb repressive complex 2 (PRC2), which catalyzes trimethylation of histone H3 lysine 27 (H3K27me3) for transcriptional repression. EZH2 have been implicated in numerous hematological malignancies, including MM. However, noncanonical functions of EZH2 in MM tumorigenesis are not well understood. Here, we uncovered a noncanonical function of EZH2 in MM malignancy. In addition to the PRC2-mediated and H3K27me3-dependent canonical function, EZH2 interacts with cMyc and co-localizes with gene activation-related markers, promoting MM tumorigenesis in a PRC2- and H3K27me3-independent manner. Both canonical EZH2-PRC2 and noncanonical EZH2-cMyc complexes can be effectively depleted in MM cells by MS177, an EZH2 degrader we reported previously, leading to profound activation of EZH2-PRC2-associated genes and simultaneous suppression of EZH2-cMyc oncogenic nodes. The MS177-induced degradation of both canonical EZH2-PRC2 and noncanonical EZH2-cMyc complexes also reactivated immune response genes in MM cells. Phenotypically, targeting of EZH2's both canonical and noncanonical functions by MS177 effectively suppressed the proliferation of MM cells both in vitro and in vivo. Collectively, this study uncovers a new noncanonical function of EZH2 in MM tumorigenesis and provides a novel therapeutic strategy, pharmacological degradation of EZH2, for treating EZH2-dependent MM.
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Affiliation(s)
- Xufen Yu
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Jun Wang
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Weida Gong
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Anqi Ma
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Yudao Shen
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Chengwei Zhang
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Xijuan Liu
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Ling Cai
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Jing Liu
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Gang Greg Wang
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
| | - Jian Jin
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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Mithraprabhu S, Reynolds J, Turner R, Quach H, Horvath N, Kerridge I, Kalff A, Bergin K, Hocking J, Yuen F, Khong T, Durie BM, Spencer A. Circulating tumour DNA analysis predicts relapse and improves risk stratification in primary refractory multiple myeloma. Blood Cancer J 2023; 13:25. [PMID: 36781844 PMCID: PMC9925790 DOI: 10.1038/s41408-023-00796-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/15/2023] Open
Affiliation(s)
- Sridurga Mithraprabhu
- Australian Centre for Blood Diseases, Alfred Health-Monash University, Melbourne, VIC, Australia. .,Department of Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia.
| | - John Reynolds
- Australian Centre for Blood Diseases, Alfred Health-Monash University, Melbourne, VIC, Australia.,Department of Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia
| | - Rose Turner
- Department of Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia
| | - Hang Quach
- St.Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia
| | | | - Ian Kerridge
- Royal North Shore Hospital, Sydney, NSW, Australia
| | - Anna Kalff
- Department of Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia
| | - Krystal Bergin
- Australian Centre for Blood Diseases, Alfred Health-Monash University, Melbourne, VIC, Australia.,Department of Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia
| | - Jay Hocking
- Department of Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia
| | - Flora Yuen
- Department of Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia
| | - Tiffany Khong
- Australian Centre for Blood Diseases, Alfred Health-Monash University, Melbourne, VIC, Australia.,Department of Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia
| | - Brian M Durie
- Cedars-Sinai Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Andrew Spencer
- Australian Centre for Blood Diseases, Alfred Health-Monash University, Melbourne, VIC, Australia. .,Department of Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia.
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46
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Laganà A. The genome of IMiD-refractory myeloma. Blood 2023; 141:560-561. [PMID: 36757732 DOI: 10.1182/blood.2022018461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023] Open
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47
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Roy Choudhury S, Byrum SD, Alkam D, Ashby C, Zhan F, Tackett AJ, Van Rhee F. Expression of integrin β-7 is epigenetically enhanced in multiple myeloma subgroups with high-risk cytogenetics. Clin Epigenetics 2023; 15:18. [PMID: 36737807 PMCID: PMC9898982 DOI: 10.1186/s13148-023-01433-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 01/21/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Oncogenic overexpression of integrin-β7 (ITGB7) in cases of high-risk multiple myeloma (MM) was reported to promote enhanced interactions between neoplastic plasma-B cells and stromal cells to develop cell-adhesion mediated drug resistance. METHODS Expression profiles of adhesion related genes were analyzed in a cohort of MM patients containing major IgH translocations or hyperdiploidies (HY), diagnosed at the premalignant monoclonal gammopathy of undetermined significance (MGUS; n = 103), smoldering multiple myeloma; (SMM; n = 190) or MM (MM; n = 53) stage. Differential expression was integrated with loci-specific alterations in DNA-methylation and chromatin marks in MM patients. A CRISPR-based targeted induction of DNA-methylation at the ITGB7 super-enhancer (SE) in MM.1S cells was employed to intersect the impact of cis-regulatory elements on ITGB7 expression. RESULTS ITGB7 was significantly (p < 0.05) upregulated in patients with t(14;16) and t(14;20) subgroups in all MGUS, SMM and MM stages, but sporadically upregulated in t(4;14) subgroup at the MM stage. We demonstrate a predetermined enhancer state on ITGB7 in primary-B cells that is maintained under bivalent chromatin, which undergoes a process of chromatin-state alterations and develops into an active enhancer in cases of the t(4;14) subgroup or SE in cases of the t(14;16) subgroup. We also demonstrate that while targeted induction of DNA-methylation at the ITGB7-SE further upregulated the gene, inhibition of ITGB7-SE-associated transcription factor bromodomain-4 downregulated expression of the gene. CONCLUSIONS Our findings suggest an epigenetic regulation of oncogenic overexpression of ITGB7 in MM cells, which could be critical in MM progression and an attractive therapeutic target.
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Affiliation(s)
- Samrat Roy Choudhury
- Pediatric Hematology-Oncology, Arkansas Children's Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR, 72202, USA.
| | - Stephanie D Byrum
- Pediatric Hematology-Oncology, Arkansas Children's Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR, 72202, USA
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Duah Alkam
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Cody Ashby
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Fenghuang Zhan
- Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Alan J Tackett
- Pediatric Hematology-Oncology, Arkansas Children's Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR, 72202, USA
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Frits Van Rhee
- Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
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48
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Laforest R, Ghai A, Fraum TJ, Oyama R, Frye J, Kaemmerer H, Gaehle G, Voller T, Mpoy C, Rogers BE, Fiala M, Shoghi KI, Achilefu S, Rettig M, Vij R, DiPersio JF, Schwarz S, Shokeen M, Dehdashti F. First-in-Humans Evaluation of Safety and Dosimetry of 64Cu-LLP2A for PET Imaging. J Nucl Med 2023; 64:320-328. [PMID: 36008121 PMCID: PMC9902845 DOI: 10.2967/jnumed.122.264349] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 08/11/2022] [Accepted: 08/11/2022] [Indexed: 02/04/2023] Open
Abstract
There remains an unmet need for molecularly targeted imaging agents for multiple myeloma (MM). The integrin very late antigen 4 (VLA4), is differentially expressed in malignant MM cells and in pathogenic inflammatory microenvironmental cells. [64Cu]Cu-CB-TE1A1P-LLP2A (64Cu-LLP2A) is a VLA4-targeted, high-affinity radiopharmaceutical with promising utility for managing patients diagnosed with MM. Here, we evaluated the safety and human radiation dosimetry of 64Cu-LLP2A for potential use in MM patients. Methods: A single-dose [natCu]Cu-LLP2A (Cu-LLP2A) tolerability and toxicity study was performed on CD-1 (Hsd:ICR) male and female mice. 64Cu-LLP2A was synthesized in accordance with good-manufacturing-practice-compliant procedures. Three MM patients and six healthy participants underwent 64Cu-LLP2A-PET/CT or PET/MRI at up to 3 time points to help determine tracer biodistribution, pharmacokinetics, and radiation dosimetry. Time-activity curves were plotted for each participant. Mean organ-absorbed doses and effective doses were calculated using the OLINDA software. Tracer bioactivity was evaluated via cell-binding assays, and metabolites from human blood samples were analyzed with analytic radio-high-performance liquid chromatography. When feasible, VLA4 expression was evaluated in the biopsy tissues using 14-color flow cytometry. Results: A 150-fold mass excess of the desired imaging dose was tolerated well in male and female CD-1 mice (no observed adverse effect level). Time-activity curves from human imaging data showed rapid tracer clearance from blood via the kidneys and bladder. The effective dose of 64Cu-LLP2A in humans was 0.036 ± 0.006 mSv/MBq, and the spleen had the highest organ uptake, 0.142 ± 0.034 mSv/MBq. Among all tissues, the red marrow demonstrated the highest residence time. Image quality analysis supports an early imaging time (4-5 h after injection of the radiotracer) as optimal. Cell studies showed statistically significant blocking for the tracer produced for all human studies (82.42% ± 13.47%). Blood metabolism studies confirmed a stable product peak (>90%) up to 1 h after injection of the radiopharmaceutical. No clinical or laboratory adverse events related to 64Cu-LLP2A were observed in the human participants. Conclusion: 64Cu-LLP2A exhibited a favorable dosimetry and safety profile for use in humans.
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Affiliation(s)
- Richard Laforest
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Anchal Ghai
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Tyler J Fraum
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Reiko Oyama
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Jennifer Frye
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Helen Kaemmerer
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Greg Gaehle
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Tom Voller
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Cedric Mpoy
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Buck E Rogers
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Mark Fiala
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri; and
| | - Kooresh I Shoghi
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | - Samuel Achilefu
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Michael Rettig
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri; and
| | - Ravi Vij
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri; and
| | - John F DiPersio
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri; and
| | - Sally Schwarz
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Monica Shokeen
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri;
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | - Farrokh Dehdashti
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri;
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
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49
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Chen M, Wan Y, Li X, Xiang J, Chen X, Jiang J, Han X, Zhong L, Xiao F, Liu J, Huang H, Li H, Liu J, Hou J. Dynamic single-cell RNA-seq analysis reveals distinct tumor program associated with microenvironmental remodeling and drug sensitivity in multiple myeloma. Cell Biosci 2023; 13:19. [PMID: 36717896 PMCID: PMC9887807 DOI: 10.1186/s13578-023-00971-2] [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: 09/06/2022] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Multiple myeloma (MM) is a hematological malignancy characterized by clonal proliferation of malignant plasma cells. Despite extensive research, molecular mechanisms in MM that drive drug sensitivity and clinic outcome remain elusive. RESULTS Single-cell RNA sequencing was applied to study tumor heterogeneity and molecular dynamics in 10 MM individuals before and after 2 cycles of bortezomib-cyclophosphamide-dexamethasone (VCD) treatment, with 3 healthy volunteers as controls. We identified that unfolded protein response and metabolic-related program were decreased, whereas stress-associated and immune reactive programs were increased after 2 cycles of VCD treatment. Interestingly, low expression of the immune reactive program by tumor cells was associated with unfavorable drug response and poor survival in MM, which probably due to downregulation of MHC class I mediated antigen presentation and immune surveillance, and upregulation of markers related to immune escape. Furthermore, combined with immune cells profiling, we uncovered a link between tumor intrinsic immune reactive program and immunosuppressive phenotype in microenvironment, evidenced by exhausted states and expression of checkpoint molecules and suppressive genes in T cells, NK cells and monocytes. Notably, expression of YBX1 was associated with downregulation of immune activation signaling in myeloma and reduced immune cells infiltration, thereby contributed to poor prognosis. CONCLUSIONS We dissected the tumor and immune reprogramming in MM during targeted therapy at the single-cell resolution, and identified a tumor program that integrated tumoral signaling and changes in immune microenvironment, which provided insights into understanding drug sensitivity in MM.
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Affiliation(s)
- Mengping Chen
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Yike Wan
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Xin Li
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Jing Xiang
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Xiaotong Chen
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Jinxing Jiang
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Xiaofeng Han
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Lu Zhong
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Fei Xiao
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Jia Liu
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Honghui Huang
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Hua Li
- grid.16821.3c0000 0004 0368 8293Bio-ID Center, Shanghai Jiao Tong University School of Biomedical Engineering, Shanghai, 200240 China
| | - Junling Liu
- grid.16821.3c0000 0004 0368 8293Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Jian Hou
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
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50
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Liu E, Becker N, Sudha P, Dong C, Liu Y, Keats J, Morgan G, Walker BA. Alternative splicing in multiple myeloma is associated with the non-homologous end joining pathway. Blood Cancer J 2023; 13:16. [PMID: 36670103 PMCID: PMC9859791 DOI: 10.1038/s41408-023-00783-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 12/27/2022] [Accepted: 01/05/2023] [Indexed: 01/21/2023] Open
Abstract
Alternative splicing plays a pivotal role in tumorigenesis and proliferation. However, its pattern and pathogenic role has not been systematically analyzed in multiple myeloma or its subtypes. Alternative splicing profiles for 598 newly diagnosed myeloma patients with comprehensive genomic annotation identified primary translocations, 1q amplification, and DIS3 events to have more differentially spliced events than those without. Splicing levels were correlated with expression of splicing factors. Moreover, the non-homologous end joining pathway was an independent factor that was highly associated with splicing frequency as well as an increased number of structural variants. We therefore identify an axis of high-risk disease encompassing expression of the non-homologous end joining pathway, increase structural variants, and increased alternative splicing that are linked together. This indicates a joint pathogenic role for DNA damage response and alternative RNA processing in myeloma.
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Affiliation(s)
- Enze Liu
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology and Oncology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Nathan Becker
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology and Oncology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Parvathi Sudha
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology and Oncology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Chuanpeng Dong
- Center for Computational Biology and Bioinformatics, School of Medicine, Indiana University, Indianapolis, IN, USA
- Department of Genetics, School of Medicine, Yale University, New Haven, CT, USA
| | - Yunlong Liu
- Center for Computational Biology and Bioinformatics, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Jonathan Keats
- Translational Genomics Research Institute (TGen), Integrated Cancer Genomics Division, Phoenix, AZ, USA
| | - Gareth Morgan
- NYU Langone Medical Center, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Brian A Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology and Oncology, School of Medicine, Indiana University, Indianapolis, IN, USA.
- Center for Computational Biology and Bioinformatics, School of Medicine, Indiana University, Indianapolis, IN, USA.
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