1
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Mouhieddine TH. How to Identify and Manage High-Risk Smoldering Multiple Myeloma. Curr Oncol Rep 2024:10.1007/s11912-024-01596-5. [PMID: 39177708 DOI: 10.1007/s11912-024-01596-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2024] [Indexed: 08/24/2024]
Abstract
PURPOSE OF REVIEW It elucidates advancements in identifying and managing high-risk smoldering multiple myeloma (SMM), moving from observation strategies to intervention approaches. It highlights the significance of differentiating high-risk SMM from its less aggressive counterparts to prevent progression to multiple myeloma (MM). RECENT FINDINGS Recent developments have improved SMM risk-stratification, integrating clinical, molecular and biological markers to identify high-risk individuals accurately. The advent of dynamic risk models that incorporate disease evolution and the application of novel diagnostic technologies are enhancing the understanding of SMM. Clinical trials exploring low to high intensity interventions, have shown promise in delaying MM onset and improving patient prognosis. There is a significant change in high-risk SMM management, leaning towards early intervention and precision medicine. The focus now is on refining these approaches, exploring new treatments, and proving the sustained benefits of early interventions to ultimately improve SMM patient care and outcomes.
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Affiliation(s)
- Tarek H Mouhieddine
- Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, 1 Gustave L. Levy Place, Box 1079, New York, NY, 10029, USA.
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2
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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 PMCID: PMC11331727 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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3
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Paiva B, Calasanz MJ. RASping myeloma genomics. Blood 2024; 144:129-131. [PMID: 38990540 DOI: 10.1182/blood.2024024869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2024] Open
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4
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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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5
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Corre J. Blood, the hidden side of myeloma? Blood 2024; 143:2344-2345. [PMID: 38842860 DOI: 10.1182/blood.2024024414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024] Open
Affiliation(s)
- Jill Corre
- Institut Universitaire du Cancer de Toulouse Oncopole
- Centre de Recherches en Cancérologie de Toulouse
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6
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Resnati M, Pennacchio S, Viviani L, Perini T, Materozzi M, Orfanelli U, Bordini J, Molteni R, Nuvolone M, Da Vià M, Lazzaroni F, Bolli N, Cenci S, Milan E. TENT5C/FAM46C modulation in vivo reveals a trade-off between antibody secretion and tumor growth in multiple myeloma. Haematologica 2024; 109:1966-1972. [PMID: 38385303 PMCID: PMC11141651 DOI: 10.3324/haematol.2023.284299] [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: 09/18/2023] [Accepted: 02/13/2024] [Indexed: 02/23/2024] Open
Abstract
Not available.
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Affiliation(s)
- Massimo Resnati
- Age Related Diseases Unit, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano
| | - Sara Pennacchio
- Age Related Diseases Unit, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano
| | - Lisa Viviani
- Age Related Diseases Unit, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano
| | - Tommaso Perini
- Age Related Diseases Unit, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano, Italy; Hematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milano
| | - Maria Materozzi
- Age Related Diseases Unit, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano
| | - Ugo Orfanelli
- Age Related Diseases Unit, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano
| | - Jessica Bordini
- B-cell Neoplasia Unit, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, Milano
| | - Raffaella Molteni
- Age Related Diseases Unit, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano
| | - Mario Nuvolone
- Department of Molecular Medicine, University of Pavia, Pavia, Italy; Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia
| | - Matteo Da Vià
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano
| | - Francesca Lazzaroni
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano
| | - Niccolò Bolli
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy; Università degli Studi di Milano, Milano. Italy
| | - Simone Cenci
- Age Related Diseases Unit, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano, Italy; University Vita-Salute San Raffaele, Milano
| | - Enrico Milan
- Age Related Diseases Unit, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano, Italy; University Vita-Salute San Raffaele, Milano.
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7
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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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8
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Medina-Herrera A, Vazquez I, Cuenca I, Rosa-Rosa JM, Ariceta B, Jimenez C, Fernandez-Mercado M, Larrayoz MJ, Gutierrez NC, Fernandez-Guijarro M, Gonzalez-Calle V, Rodriguez-Otero P, Oriol A, Rosiñol L, Alegre A, Escalante F, De La Rubia J, Teruel AI, De Arriba F, Hernandez MT, Lopez-Jimenez J, Ocio EM, Puig N, Paiva B, Lahuerta JJ, Bladé J, San Miguel JF, Mateos MV, Martinez-Lopez J, Calasanz MJ, Garcia-Sanz R. The genomic profiling of high-risk smoldering myeloma patients treated with an intensive strategy unveils potential markers of resistance and progression. Blood Cancer J 2024; 14:74. [PMID: 38684670 PMCID: PMC11059156 DOI: 10.1038/s41408-024-01053-3] [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: 11/09/2023] [Revised: 04/09/2024] [Accepted: 04/12/2024] [Indexed: 05/02/2024] Open
Abstract
Smoldering multiple myeloma (SMM) precedes multiple myeloma (MM). The risk of progression of SMM patients is not uniform, thus different progression-risk models have been developed, although they are mainly based on clinical parameters. Recently, genomic predictors of progression have been defined for untreated SMM. However, the usefulness of such markers in the context of clinical trials evaluating upfront treatment in high-risk SMM (HR SMM) has not been explored yet, precluding the identification of baseline genomic alterations leading to drug resistance. For this reason, we carried out next-generation sequencing and fluorescent in-situ hybridization studies on 57 HR and ultra-high risk (UHR) SMM patients treated in the phase II GEM-CESAR clinical trial (NCT02415413). DIS3, FAM46C, and FGFR3 mutations, as well as t(4;14) and 1q alterations, were enriched in HR SMM. TRAF3 mutations were specifically associated with UHR SMM but identified cases with improved outcomes. Importantly, novel potential predictors of treatment resistance were identified: NRAS mutations and the co-occurrence of t(4;14) plus FGFR3 mutations were associated with an increased risk of biological progression. In conclusion, we have carried out for the first time a molecular characterization of HR SMM patients treated with an intensive regimen, identifying genomic predictors of poor outcomes in this setting.
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Affiliation(s)
- A Medina-Herrera
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - I Vazquez
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - I Cuenca
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - J M Rosa-Rosa
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - B Ariceta
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - C Jimenez
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain.
| | - M Fernandez-Mercado
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - M J Larrayoz
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - N C Gutierrez
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - M Fernandez-Guijarro
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - V Gonzalez-Calle
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - P Rodriguez-Otero
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - A Oriol
- Institut Català d'Oncologia (ICO), Institut d'Investigació Josep Carreras, Hospital Germans Trias i Pujol, Barcelona, Spain
| | - L Rosiñol
- Amyloidosis and Myeloma Unit, Department of Hematology, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - A Alegre
- Hematology Department, Hospital Universitario Quirónsalud and Hospital Universitario de La Princesa, Madrid, Spain
| | - F Escalante
- Department of Hematology, Hospital Universitario de León, León, Spain
| | - J De La Rubia
- Hematology Department, University Hospital La Fe, Universidad Católica "San Vicente Mártir", CIBERONC, Valencia, Spain
| | - A I Teruel
- Hematology, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - F De Arriba
- Hospital Morales Meseguer, IMIB-Pascual Parrilla, Universidad de Murcia, Murcia, Spain
| | - M T Hernandez
- Hospital Universitario de Canarias, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - J Lopez-Jimenez
- Hematology and Hemotherapy Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - E M Ocio
- Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Universidad de Cantabria, Santander, Spain
| | - N Puig
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - B Paiva
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - J J Lahuerta
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - J Bladé
- Amyloidosis and Myeloma Unit, Department of Hematology, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - J F San Miguel
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - M V Mateos
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - J Martinez-Lopez
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - M J Calasanz
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - R Garcia-Sanz
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
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9
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Nadeem O, Aranha MP, Redd R, Timonian M, Magidson S, Lightbody ED, Alberge JB, Bertamini L, Dutta AK, El-Khoury H, Bustoros M, Laubach JP, Bianchi G, O'Donnell E, Wu T, Tsuji J, Anderson K, Getz G, Trippa L, Richardson PG, Sklavenitis-Pistofidis R, Ghobrial IM. Long-Term Follow-Up Defines the Population That Benefits from Early Interception in a High-Risk Smoldering Multiple Myeloma Clinical Trial Using the Combination of Ixazomib, Lenalidomide, and Dexamethasone. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.19.24306082. [PMID: 38699307 PMCID: PMC11064995 DOI: 10.1101/2024.04.19.24306082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Background Early therapeutic intervention in high-risk SMM (HR-SMM) has demonstrated benefit in previous studies of lenalidomide with or without dexamethasone. Triplets and quadruplet studies have been examined in this same population. However, to date, none of these studies examined the impact of depth of response on long-term outcomes of participants treated with lenalidomide-based therapy, and whether the use of the 20/2/20 model or the addition of genomic alterations can further define the population that would benefit the most from early therapeutic intervention. Here, we present the results of the phase II study of the combination of ixazomib, lenalidomide, and dexamethasone in patients with HR-SMM with long-term follow-up and baseline single-cell tumor and immune sequencing that help refine the population to be treated for early intervention studies. Methods This is a phase II trial of ixazomib, lenalidomide, and dexamethasone (IRD) in HR-SMM. Patients received 9 cycles of induction therapy with ixazomib 4mg on days 1, 8, and 15; lenalidomide 25mg on days 1-21; and dexamethasone 40mg on days 1, 8, 15, and 22. The induction phase was followed by maintenance with ixazomib 4mg on days 1, 8, and 15; and lenalidomide 15mg d1-21 for 15 cycles for 24 months of treatment. The primary endpoint was progression-free survival after 2 years of therapy. Secondary endpoints included depth of response, biochemical progression, and correlative studies included single-cell RNA sequencing and/or whole-genome sequencing of the tumor and single-cell sequencing of immune cells at baseline. Results Fifty-five patients, with a median age of 64, were enrolled in the study. The overall response rate was 93%, with 31% of patients achieving a complete response and 45% achieving a very good partial response or better. The most common grade 3 or greater treatment-related hematologic toxicities were neutropenia (16 patients; 29%), leukopenia (10 patients; 18%), lymphocytopenia (8 patients; 15%), and thrombocytopenia (4 patients; 7%). Non-hematologic grade 3 or greater toxicities included hypophosphatemia (7 patients; 13%), rash (5 patients; 9%), and hypokalemia (4 patients; 7%). After a median follow-up of 50 months, the median progression-free survival (PFS) was 48.6 months (95% CI: 39.9 - not reached; NR) and median overall survival has not been reached. Patients achieving VGPR or better had a significantly better progression-free survival (p<0.001) compared to those who did not achieve VGPR (median PFS 58.2 months vs. 31.3 months). Biochemical progression preceded or was concurrent with the development of SLiM-CRAB criteria in eight patients during follow-up, indicating that biochemical progression is a meaningful endpoint that correlates with the development of end-organ damage. High-risk 20/2/20 participants had the worst PFS compared to low- and intermediate-risk participants. The use of whole genome or single-cell sequencing of tumor cells identified high-risk aberrations that were not identified by FISH alone and aided in the identification of participants at risk of progression. scRNA-seq analysis revealed a positive correlation between MHC class I expression and response to proteasome inhibition and at the same time a decreased proportion of GZMB+ T cells within the clonally expanded CD8+ T cell population correlated with suboptimal response. Conclusions Ixazomib, lenalidomide and dexamethasone in HR-SMM demonstrates significant clinical activity with an overall favorable safety profile. Achievement of VGPR or greater led to significant improvement in time to progression, suggesting that achieving deep response is beneficial in HR-SMM. Biochemical progression correlates with end-organ damage. Patients with high-risk FISH and lack of deep response had poor outcomes. ClinicalTrials.gov identifier: ( NCT02916771 ).
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10
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Tausch E, López C, Stilgenbauer S, Siebert R. Genetic alterations in chronic lymphocytic leukemia and plasma cell neoplasms - a practical guide to WHO HAEM5. MED GENET-BERLIN 2024; 36:47-57. [PMID: 38835970 PMCID: PMC11006374 DOI: 10.1515/medgen-2024-2006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours (WHO-HAEM5) provides a revised classification of lymphoid malignancies including chronic lymphocytic leukemia (CLL) and plasma cell myeloma/multiple myeloma (PCM/MM). For both diseases the descriptions of precursor states such as monoclonal B-cell lymphocytosis and monoclonal gammopathy of uncertain significance (MGUS) have been updated including a better risk stratification model. New insights on mutational landscapes and branching evolutionary pattern were embedded as diagnostic and prognostic factors, accompanied by a revised structure for the chapter of plasma cell neoplasms. Thus, the WHO-HAEM5 leads to practical improvements of biological and clinical relevance for pathologists, clinicians, geneticists and scientists in the field of lymphoid malignancies. The present review gives an overview on the landscape of genetic alterations in CLL and plasma cell neoplasms with a focus on their impact on classification and treatment.
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Affiliation(s)
- Eugen Tausch
- Ulm University Division of CLL, Department of Internal Medicine 3 Ulm Germany
| | - Cristina López
- Institut d'Investigacions Biomèdiques August Phi i Sunyer (IDIBAPS) Barcelona Spain
| | | | - Reiner Siebert
- Ulm University and Ulm University Medical Center Institute of Human Genetics Ulm Germany
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11
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Lecat C, Boyle EM, Hughes D, Lee L, Smith D, Bygrave C, Ramasamy K, Yong K. Challenges in designing and running smouldering myeloma interventional clinical trials. EJHAEM 2024; 5:418-420. [PMID: 38633110 PMCID: PMC11020121 DOI: 10.1002/jha2.880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/01/2024] [Accepted: 03/04/2024] [Indexed: 04/19/2024]
Affiliation(s)
| | | | - Daniel Hughes
- Department of HaematologyUCL Cancer InstituteLondonUK
| | - Lydia Lee
- Department of HaematologyUCL Cancer InstituteLondonUK
| | - Dean Smith
- Department of Clinical HaematologyNottingham University Hospitals NHS TrustNottinghamUK
| | - Ceri Bygrave
- Department of HaematologyUniversity Hospital of WalesCardiffUK
| | - Karthik Ramasamy
- Oxford Translational Myeloma Centre, NDORMSUniversity of OxfordOxfordUK
| | - Kwee Yong
- Department of HaematologyUCL Cancer InstituteLondonUK
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12
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Maura F, Bergsagel PL. Molecular Pathogenesis of Multiple Myeloma: Clinical Implications. Hematol Oncol Clin North Am 2024; 38:267-279. [PMID: 38199896 DOI: 10.1016/j.hoc.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
Multiple myeloma is a malignancy of bone-marrow-localized, isotype-switched plasma cells that secrete a monoclonal immunoglobulin and cause hyperCalcemia, Anemia, Renal failure, and lytic Bone disease. It is preceded, often for decades, by a relatively stable monoclonal gammopathy lacking these clinical and malignant features. Both conditions are characterized by the presence of types of immunoglobulin heavy gene translocations that dysregulate a cyclin D family gene on 11q13 (CCND1), 6p21 (CCND3), or 12q11 (CCND2), a maf family gene on 16q23 (MAF), 20q11 (MAFB), or 8q24 (MAFA), or NSD2/FGFR3 on 4p16, or the presence of hyperdiploidy. Subsequent loss of function of tumor suppressor genes and mutations activating MYC, RAS, NFkB, and cell cycle pathways are associated with the progression to malignant disease.
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Affiliation(s)
- Francesco Maura
- University of Miami, 1120 Northwest 14th Street, Miami, FL 33136, USA.
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13
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Miglierina E, Ordanoska D, Le Noir S, Laffleur B. RNA processing mechanisms contribute to genome organization and stability in B cells. Oncogene 2024; 43:615-623. [PMID: 38287115 PMCID: PMC10890934 DOI: 10.1038/s41388-024-02952-2] [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: 08/29/2023] [Revised: 01/15/2024] [Accepted: 01/18/2024] [Indexed: 01/31/2024]
Abstract
RNA processing includes post-transcriptional mechanisms controlling RNA quality and quantity to ensure cellular homeostasis. Noncoding (nc) RNAs that are regulated by these dynamic processes may themselves fulfill effector and/or regulatory functions, and recent studies demonstrated the critical role of RNAs in organizing both chromatin and genome architectures. Furthermore, RNAs can threaten genome integrity when accumulating as DNA:RNA hybrids, but could also facilitate DNA repair depending on the molecular context. Therefore, by qualitatively and quantitatively fine-tuning RNAs, RNA processing contributes directly or indirectly to chromatin states, genome organization, and genome stability. B lymphocytes represent a unique model to study these interconnected mechanisms as they express ncRNAs transcribed from key specific sequences before undergoing physiological genetic remodeling processes, including V(D)J recombination, somatic hypermutation, and class switch recombination. RNA processing actors ensure the regulation and degradation of these ncRNAs for efficient DNA repair and immunoglobulin gene remodeling while failure leads to B cell development alterations, aberrant DNA repair, and pathological translocations. This review highlights how RNA processing mechanisms contribute to genome architecture and stability, with emphasis on their critical roles during B cell development, enabling physiological DNA remodeling while preventing lymphomagenesis.
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Affiliation(s)
- Emma Miglierina
- University of Rennes, Inserm, EFS Bretagne, CHU Rennes, UMR, 1236, Rennes, France
| | - Delfina Ordanoska
- University of Rennes, Inserm, EFS Bretagne, CHU Rennes, UMR, 1236, Rennes, France
| | - Sandrine Le Noir
- UMR CNRS 7276, Inserm 1262, Université de Limoges: Contrôle de la Réponse Immune B et des Lymphoproliférations, Team 2, B-NATION: B cell Nuclear Architecture, Immunoglobulin genes and Oncogenes, Limoges, France
| | - Brice Laffleur
- University of Rennes, Inserm, EFS Bretagne, CHU Rennes, UMR, 1236, Rennes, France.
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Zhou R, Guo J, Feng X, Zhou W. Mechanisms of the role of proto-oncogene activation in promoting malignant transformation of mature B cells. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2024; 49:113-121. [PMID: 38615172 PMCID: PMC11017026 DOI: 10.11817/j.issn.1672-7347.2024.230304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Indexed: 04/15/2024]
Abstract
Malignant tumors continue to pose a significant threat to human life and safety and their development is primarily due to the activation of proto-oncogenes and the inactivation of suppressor genes. Among these, the activation of proto-oncogenes possesses greater potential to drive the malignant transformation of cells. Targeting oncogenes involved in the malignant transformation of tumor cells has provided a novel approach for the development of current antitumor drugs. Several preclinical and clinical studies have revealed that the development pathway of B cells, and the malignant transformation of mature B cells into tumors have been regulated by oncogenes and their metabolites. Therefore, summarizing the key oncogenes involved in the process of malignant transformation of mature B cells and elucidating the mechanisms of action in tumor development hold significant importance for the clinical treatment of malignant tumors.
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Affiliation(s)
- Ruiqi Zhou
- Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410078.
| | - Jiaojiao Guo
- Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008
| | - Xiangling Feng
- Xiangya School of Public Health, Central South University, Changsha 410006, China
| | - Wen Zhou
- Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410078.
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15
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Liu E, Sudha P, Becker N, Jaouadi O, Suvannasankha A, Lee K, Abonour R, Abu Zaid M, Walker BA. Identifying novel mechanisms of biallelic TP53 loss refines poor outcome for patients with multiple myeloma. Blood Cancer J 2023; 13:144. [PMID: 37696786 PMCID: PMC10495448 DOI: 10.1038/s41408-023-00919-2] [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: 06/13/2023] [Revised: 08/27/2023] [Accepted: 08/30/2023] [Indexed: 09/13/2023] Open
Abstract
Biallelic TP53 inactivation is the most important high-risk factor associated with poor survival in multiple myeloma. Classical biallelic TP53 inactivation has been defined as simultaneous mutation and copy number loss in most studies; however, numerous studies have demonstrated that other factors could lead to the inactivation of TP53. Here, we hypothesized that novel biallelic TP53 inactivated samples existed in the multiple myeloma population. A random forest regression model that exploited an expression signature of 16 differentially expressed genes between classical biallelic TP53 and TP53 wild-type samples was subsequently established and used to identify novel biallelic TP53 samples from monoallelic TP53 groups. The model reflected high accuracy and robust performance in newly diagnosed relapsed and refractory populations. Patient survival of classical and novel biallelic TP53 samples was consistently much worse than those with mono-allelic or wild-type TP53 status. We also demonstrated that some predicted biallelic TP53 samples simultaneously had copy number loss and aberrant splicing, resulting in overexpression of high-risk transcript variants, leading to biallelic inactivation. We discovered that splice site mutation and overexpression of the splicing factor MED18 were reasons for aberrant splicing. Taken together, our study unveiled the complex transcriptome of TP53, some of which might benefit future studies targeting abnormal TP53.
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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
| | - Parvathi Sudha
- 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
| | - Oumaima Jaouadi
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology and Oncology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Attaya Suvannasankha
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology and Oncology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Kelvin Lee
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology and Oncology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Rafat Abonour
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology and Oncology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Mohammad Abu Zaid
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology and Oncology, School of Medicine, Indiana University, Indianapolis, IN, 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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Suzuki K, Yano S. Treatment Strategy for Ultra-High-Risk Multiple Myelomas with Chromosomal Aberrations Considering Minimal Residual Disease Status and Bone Marrow Microenvironment. Cancers (Basel) 2023; 15:cancers15092418. [PMID: 37173885 PMCID: PMC10177433 DOI: 10.3390/cancers15092418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/12/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
Despite the development of anti-myeloma therapeutics, such as proteasome inhibitors, immunomodulatory drugs, anti-CD38 monoclonal antibodies, and autologous stem cell transplantation (ASCT), multiple myeloma remains incurable. A trial treatment combining four drugs-daratumumab, carfilzomib, lenalidomide, and dexamethasone-followed by ASCT frequently results in minimal residual disease (MRD) negativity and prevents progressive disease in patients with standard- and high-risk cytogenetics; however, it is insufficient to overcome the poor outcomes in patients with ultra-high-risk chromosomal aberration (UHRCA). In fact, MRD status in autografts can predict clinical outcomes after ASCT. Therefore, the current treatment strategy might be insufficient to overcome the negative impact of UHRCA in patients with MRD positivity after the four-drug induction therapy. High-risk myeloma cells lead to poor clinical outcomes not only by aggressive myeloma behavior but also via the generation of a poor bone marrow microenvironment. Meanwhile, the immune microenvironment effectively suppresses myeloma cells with a low frequency of high-risk cytogenetic abnormalities in early-stage myeloma compared to late-stage myeloma. Therefore, early intervention might be key to improving clinical outcomes in myeloma patients. The purpose of this review is to improve clinical outcomes in patients with UHRCA by considering MRD assessment results and improvement of the microenvironment.
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Affiliation(s)
- Kazuhito Suzuki
- Division of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo 105-0003, Japan
| | - Shingo Yano
- Division of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo 105-0003, Japan
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Papadimitriou MA, Soureas K, Papanota AM, Tsiakanikas P, Adamopoulos PG, Ntanasis-Stathopoulos I, Malandrakis P, Gavriatopoulou M, Sideris DC, Kastritis E, Avgeris M, Dimopoulos MA, Terpos E, Scorilas A. miRNA-seq identification and clinical validation of CD138+ and circulating miR-25 in treatment response of multiple myeloma. J Transl Med 2023; 21:245. [PMID: 37024879 PMCID: PMC10080848 DOI: 10.1186/s12967-023-04034-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/03/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND Despite significant advancements in multiple myeloma (MM) therapy, the highly heterogenous treatment response hinders reliable prognosis and tailored therapeutics. Herein, we have studied the clinical utility of miRNAs in ameliorating patients' management. METHODS miRNA-seq was performed in bone marrow CD138+ plasma cells (PCs) of 24 MM and smoldering MM (sMM) patients to analyze miRNAs profile. CD138+ and circulating miR-25 levels were quantified using in house RT-qPCR assays in our screening MM/sMM cohort (CD138+ plasma cells n = 167; subcohort of MM peripheral plasma samples n = 69). Two external datasets (Kryukov et al. cohort n = 149; MMRF CoMMpass study n = 760) served as institutional-independent validation cohorts. Patients' mortality and disease progression were assessed as clinical endpoints. Internal validation was performed by bootstrap analysis. Clinical benefit was estimated by decision curve analysis. RESULTS miRNA-seq highlighted miR-25 of CD138+ plasma cells to be upregulated in MM vs. sMM, R-ISS II/III vs. R-ISS I, and in progressed compared to progression-free patients. The analysis of our screening cohort highlighted that CD138+ miR-25 levels were correlated with short-term progression (HR = 2.729; p = 0.009) and poor survival (HR = 4.581; p = 0.004) of the patients; which was confirmed by Kryukov et al. cohort (HR = 1.878; p = 0.005) and MMRF CoMMpass study (HR = 1.414; p = 0.039) validation cohorts. Moreover, multivariate miR-25-fitted models contributed to superior risk-stratification and clinical benefit in MM prognostication. Finally, elevated miR-25 circulating levels were correlated with poor survival of MM patients (HR = 5.435; p = 0.021), serving as a potent non-invasive molecular prognostic tool. CONCLUSIONS Our study identified miR-25 overexpression as a powerful independent predictor of poor treatment outcome and post-treatment progression, aiding towards modern non-invasive disease prognosis and personalized treatment decisions.
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Affiliation(s)
- Maria-Alexandra Papadimitriou
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Athens, Greece
| | - Konstantinos Soureas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, 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
| | - Aristea-Maria Papanota
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, "Alexandra" General Hospital, 80 Vas. Sofias Ave., 11528, Athens, Greece
| | - Panagiotis Tsiakanikas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Athens, Greece
| | - Panagiotis G Adamopoulos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Athens, Greece
| | - Ioannis Ntanasis-Stathopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, "Alexandra" General Hospital, 80 Vas. Sofias Ave., 11528, Athens, Greece
| | - Panagiotis Malandrakis
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, "Alexandra" General Hospital, 80 Vas. Sofias Ave., 11528, Athens, Greece
| | - Maria Gavriatopoulou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, "Alexandra" General Hospital, 80 Vas. Sofias Ave., 11528, Athens, Greece
| | - Diamantis C Sideris
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Athens, Greece
| | - Efstathios Kastritis
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, "Alexandra" General Hospital, 80 Vas. Sofias Ave., 11528, Athens, Greece
| | - Margaritis Avgeris
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, 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
| | - Meletios-Athanasios Dimopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, "Alexandra" General Hospital, 80 Vas. Sofias Ave., 11528, Athens, Greece
| | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, "Alexandra" General Hospital, 80 Vas. Sofias Ave., 11528, Athens, Greece.
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Athens, Greece.
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Burgos L, Tamariz-Amador LE, Puig N, Cedena MT, Guerrero C, Jelínek T, Johnson S, Milani P, Cordon L, Perez JJ, Lasa M, Termini R, Oriol A, Hernandez MT, Palomera L, Martinez-Martinez R, de la Rubia J, de Arriba F, Rios R, Gonzalez ME, Gironella M, Cabañas V, Casanova M, Krsnik I, Perez-Montaña A, González-Calle V, Rodriguez-Otero P, Maisnar V, Hajek R, Van Rhee F, Jimenez-Zepeda V, Palladini G, Merlini G, Orfao A, de la Cruz J, Martinez-Lopez J, Lahuerta JJ, Rosiñol L, Blade J, Mateos MV, San-Miguel JF, Paiva B. Definition and Clinical Significance of the Monoclonal Gammopathy of Undetermined Significance-Like Phenotype in Patients With Monoclonal Gammopathies. J Clin Oncol 2023; 41:3019-3031. [PMID: 36930848 DOI: 10.1200/jco.22.01916] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
PURPOSE The existence of patients with multiple myeloma (MM) and light-chain (AL) amyloidosis who present with a monoclonal gammopathy of undetermined significance (MGUS)-like phenotype has been hypothesized, but methods to identify this subgroup are not standardized and its clinical significance is not properly validated. PATIENTS AND METHODS An algorithm to identify patients having MGUS-like phenotype was developed on the basis of the percentages of total bone marrow (BM) plasma cells (PC) and of clonal PC within the BM PC compartment, determined at diagnosis using flow cytometry in 548 patients with MGUS and 2,011 patients with active MM. The clinical significance of the algorithm was tested and validated in 488 patients with smoldering MM, 3,870 patients with active MM and 211 patients with AL amyloidosis. RESULTS Patients with smoldering MM with MGUS-like phenotype showed significantly lower rates of disease progression (4.5% and 0% at 2 years in two independent series). There were no statistically significant differences in time to progression between treatment versus observation in these patients. In active newly diagnosed MM, MGUS-like phenotype retained independent prognostic value in multivariate analyses of progression-free survival (PFS; hazard ratio [HR], 0.49; P = .001) and overall survival (OS; HR, 0.56; P = .039), together with International Staging System, lactate dehydrogenase, cytogenetic risk, transplant eligibility, and complete remission status. Transplant-eligible patients with active MM with MGUS-like phenotype showed PFS and OS rates at 5 years of 79% and 96%, respectively. In this subgroup, there were no differences in PFS and OS according to complete remission and measurable residual disease status. Application of the algorithm in two independent series of patients with AL predicted for different survival. CONCLUSION We developed an open-access algorithm for the identification of MGUS-like patients with distinct clinical outcomes. This phenotypic classification could become part of the diagnostic workup of MM and AL amyloidosis.
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Affiliation(s)
- Leire Burgos
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Luis-Esteban Tamariz-Amador
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Noemi Puig
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Maria-Teresa Cedena
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Camila Guerrero
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Tomas Jelínek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Sarah Johnson
- Myeloma Center/Division of Hematology Oncology/Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Paolo Milani
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | - Jose J Perez
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Marta Lasa
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Rosalinda Termini
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Albert Oriol
- Institut Català d'Oncologia and Institut Josep Carreras, Hospital Germans Trias i Pujol, Barcelona, Spain
| | | | - Luis Palomera
- Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | | | | | - Felipe de Arriba
- Hospital Morales Meseguer, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
| | - Rafael Rios
- Hospital Universitario Puerta de Hierro, Hospital, Madrid, Spain
| | | | - Mercedes Gironella
- Department of Hematology, University Hospital Vall d'Hebron, Barcelona, Spain
| | - Valentin Cabañas
- Hospital Clínico Universitario Virgen de la Arrixaca. IMIB-Arrixaca. University of Murcia, Murcia, Spain
| | - Maria Casanova
- Hematology Department, Hospital Costa del Sol Marbella, Marbella, Spain
| | - Isabel Krsnik
- Hospital Universitario Puerta de Hierro, Hospital, Madrid, Spain
| | | | - Verónica González-Calle
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Paula Rodriguez-Otero
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Vladimir Maisnar
- 4th Department of Medicine-Haematology, Charles University Hospital, Hradec Králové, Czech Republic
| | - Roman Hajek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Fritz Van Rhee
- Myeloma Center/Division of Hematology Oncology/Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Victor Jimenez-Zepeda
- Tom Baker Cancer Center, Department of Hematology, University of Calgary, Calgary, AB, Canada
| | - Giovanni Palladini
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Giampaolo Merlini
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Alberto Orfao
- Hospital Universitario de Salamanca (HUSAL), IBSAL, Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service, University of Salamanca, CIBERONC, Salamanca, Spain
| | - Javier de la Cruz
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Joaquin Martinez-Lopez
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Juan-Jose Lahuerta
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Laura Rosiñol
- Amyloidosis and Myeloma Unit. Department of Hematology. Hospital Clínic de Barcelona. IDIBAPS., Barcelona, Spain
| | - Joan Blade
- Amyloidosis and Myeloma Unit. Department of Hematology. Hospital Clínic de Barcelona. IDIBAPS., Barcelona, Spain
| | - Maria-Victoria Mateos
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Jesus F San-Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Bruno Paiva
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
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19
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Larrayoz M, Garcia-Barchino MJ, Celay J, Etxebeste A, Jimenez M, Perez C, Ordoñez R, Cobaleda C, Botta C, Fresquet V, Roa S, Goicoechea I, Maia C, Lasaga M, Chesi M, Bergsagel PL, Larrayoz MJ, Calasanz MJ, Campos-Sanchez E, Martinez-Cano J, Panizo C, Rodriguez-Otero P, Vicent S, Roncador G, Gonzalez P, Takahashi S, Katz SG, Walensky LD, Ruppert SM, Lasater EA, Amann M, Lozano T, Llopiz D, Sarobe P, Lasarte JJ, Planell N, Gomez-Cabrero D, Kudryashova O, Kurilovich A, Revuelta MV, Cerchietti L, Agirre X, San Miguel J, Paiva B, Prosper F, Martinez-Climent JA. Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma. Nat Med 2023; 29:632-645. [PMID: 36928817 PMCID: PMC10033443 DOI: 10.1038/s41591-022-02178-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 12/09/2022] [Indexed: 03/17/2023]
Abstract
The historical lack of preclinical models reflecting the genetic heterogeneity of multiple myeloma (MM) hampers the advance of therapeutic discoveries. To circumvent this limitation, we screened mice engineered to carry eight MM lesions (NF-κB, KRAS, MYC, TP53, BCL2, cyclin D1, MMSET/NSD2 and c-MAF) combinatorially activated in B lymphocytes following T cell-driven immunization. Fifteen genetically diverse models developed bone marrow (BM) tumors fulfilling MM pathogenesis. Integrative analyses of ∼500 mice and ∼1,000 patients revealed a common MAPK-MYC genetic pathway that accelerated time to progression from precursor states across genetically heterogeneous MM. MYC-dependent time to progression conditioned immune evasion mechanisms that remodeled the BM microenvironment differently. Rapid MYC-driven progressors exhibited a high number of activated/exhausted CD8+ T cells with reduced immunosuppressive regulatory T (Treg) cells, while late MYC acquisition in slow progressors was associated with lower CD8+ T cell infiltration and more abundant Treg cells. Single-cell transcriptomics and functional assays defined a high ratio of CD8+ T cells versus Treg cells as a predictor of response to immune checkpoint blockade (ICB). In clinical series, high CD8+ T/Treg cell ratios underlie early progression in untreated smoldering MM, and correlated with early relapse in newly diagnosed patients with MM under Len/Dex therapy. In ICB-refractory MM models, increasing CD8+ T cell cytotoxicity or depleting Treg cells reversed immunotherapy resistance and yielded prolonged MM control. Our experimental models enable the correlation of MM genetic and immunological traits with preclinical therapy responses, which may inform the next-generation immunotherapy trials.
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Affiliation(s)
- Marta Larrayoz
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Maria J Garcia-Barchino
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Jon Celay
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Amaia Etxebeste
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Maddalen Jimenez
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Cristina Perez
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Raquel Ordoñez
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Cesar Cobaleda
- Immune System Development and Function Unit, Centro de Biologia Molecular Severo Ochoa, Consejo Superior de Investigaciones Cientificas/Universidad Autonoma, Madrid, Spain
| | - Cirino Botta
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy
| | - Vicente Fresquet
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Sergio Roa
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Ibai Goicoechea
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Catarina Maia
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Miren Lasaga
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Marta Chesi
- Department of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - P Leif Bergsagel
- Department of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Maria J Larrayoz
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Maria J Calasanz
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Elena Campos-Sanchez
- Immune System Development and Function Unit, Centro de Biologia Molecular Severo Ochoa, Consejo Superior de Investigaciones Cientificas/Universidad Autonoma, Madrid, Spain
| | - Jorge Martinez-Cano
- Immune System Development and Function Unit, Centro de Biologia Molecular Severo Ochoa, Consejo Superior de Investigaciones Cientificas/Universidad Autonoma, Madrid, Spain
| | - Carlos Panizo
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Paula Rodriguez-Otero
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Silvestre Vicent
- Program in Solid Tumors, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBERONC, Pamplona, Spain
| | - Giovanna Roncador
- Monoclonal Antibodies Unit, Biotechnology Program, Spanish National Cancer Research Centre CNIO, Madrid, Spain
| | - Patricia Gonzalez
- Monoclonal Antibodies Unit, Biotechnology Program, Spanish National Cancer Research Centre CNIO, Madrid, Spain
| | - Satoru Takahashi
- Department of Anatomy and Embryology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Samuel G Katz
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Loren D Walensky
- Department of Pediatric Oncology and Program in Cancer Chemical Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Shannon M Ruppert
- Oncology Biomarker Development, Genentech, South San Francisco, CA, USA
| | - Elisabeth A Lasater
- Department of Translational Oncology, Genentech, South San Francisco, CA, USA
| | - Maria Amann
- Roche Innovation Center Zurich, Roche Pharmaceutical Research and Early Development (pRED), Schlieren, Switzerland
| | - Teresa Lozano
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Diana Llopiz
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Pablo Sarobe
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Juan J Lasarte
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Nuria Planell
- Translational Bioinformatics Unit, Navarra-Biomed, Public University of Navarra, IDISNA, Pamplona, Spain
| | - David Gomez-Cabrero
- Translational Bioinformatics Unit, Navarra-Biomed, Public University of Navarra, IDISNA, Pamplona, Spain
- Biological and Environmental Sciences & Engineering Division, King Abdullah University of Science & Technology, Thuwal, Kingdom of Saudi Arabia
| | | | | | - Maria V Revuelta
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Leandro Cerchietti
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Xabier Agirre
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Jesus San Miguel
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Bruno Paiva
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Felipe Prosper
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Jose A Martinez-Climent
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain.
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20
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The PANGEA model: catching the drift from precursor conditions to myeloma in individual patients. Lancet Haematol 2023; 10:e162-e163. [PMID: 36858673 DOI: 10.1016/s2352-3026(23)00009-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/05/2023] [Accepted: 01/09/2023] [Indexed: 03/03/2023]
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21
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Falini B, Martino G, Lazzi S. A comparison of the International Consensus and 5th World Health Organization classifications of mature B-cell lymphomas. Leukemia 2023; 37:18-34. [PMID: 36460764 PMCID: PMC9883170 DOI: 10.1038/s41375-022-01764-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 12/03/2022]
Abstract
Several editions of the World Health Organization (WHO) classifications of lympho-hemopoietic neoplasms in 2001, 2008 and 2017 served as the international standard for diagnosis. Since the 4th WHO edition, here referred as WHO-HAEM4, significant clinico-pathological, immunophenotypic and molecular advances have been made in the field of lymphomas, contributing to refining diagnostic criteria of several diseases, to upgrade entities previously defined as provisional and to identify new entities. This process has resulted in two recent classifying proposals of lymphoid neoplasms, the International Consensus Classification (ICC) and the 5th edition of the WHO classification (WHO-HAEM5). In this paper, we review and compare the two classifications in terms of diagnostic criteria and entity definition, with focus on mature B-cell neoplasms. The main aim is to provide a tool to facilitate the work of pathologists, hematologists and researchers involved in the diagnosis and treatment of lymphomas.
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Affiliation(s)
- Brunangelo Falini
- Institute of Hematology and CREO, University of Perugia, Perugia, Italy.
| | - Giovanni Martino
- Institute of Hematology and CREO, University of Perugia, Perugia, Italy
| | - Stefano Lazzi
- Institute of Pathology, Department of Medical Biotechnology, University of Siena, Siena, Italy
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22
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Zhao J, Wang X, Zhu H, Wei S, Zhang H, Ma L, He P. Integrative Analysis of Bulk RNA-Seq and Single-Cell RNA-Seq Unveils Novel Prognostic Biomarkers in Multiple Myeloma. Biomolecules 2022; 12:biom12121855. [PMID: 36551283 PMCID: PMC9776050 DOI: 10.3390/biom12121855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/06/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
Molecular heterogeneity has great significance in the disease biology of multiple myeloma (MM). Thus, the analysis combined single-cell RNA-seq (scRNA-seq) and bulk RNA-seq data were performed to investigate the clonal evolution characteristics and to find novel prognostic targets in MM. The scRNA-seq data were analyzed by the Seurat pipeline and Monocle 2 to identify MM cell branches with different differentiation states. Marker genes in each branch were uploaded to the STRING database to construct the Protein-Protein Interaction (PPI) network, followed by the detection of hub genes by Cytoscape software. Using bulk RNA-seq data, Kaplan-Meier (K-M) survival analysis was then carried out to determine prognostic biomarkers in MM. A total of 342 marker genes in two branches with different differentiation states were identified, and the top 20 marker genes with the highest scores in the network calculated by the MCC algorithm were selected as hub genes in MM. Furthermore, K-M survival analysis revealed that higher NDUFB8, COX6C, NDUFA6, USMG5, and COX5B expression correlated closely with a worse prognosis in MM patients. Moreover, ssGSEA and Pearson analyses showed that their expression had a significant negative correlation with the proportion of Tcm (central memory cell) immune cells. Our findings identified NDUFB8, COX6C, NDUFA6, USMG5, and COX5B as novel prognostic biomarkers in MM, and also revealed the significance of genetic heterogeneity during cell differentiation in MM prognosis.
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23
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Thorsteinsdottir S. The consultant's guide to smoldering multiple myeloma. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2022; 2022:551-559. [PMID: 36485144 PMCID: PMC9821526 DOI: 10.1182/hematology.2022000355] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Smoldering multiple myeloma (SMM) is an asymptomatic precursor condition to multiple myeloma (MM). The prevalence of SMM is 0.5% in persons over 40 years old; it is higher in men than women and increases with age. When SMM is diagnosed, a thorough diagnostic workup is necessary to exclude myeloma-defining events and stratify patients according to risk of progression to MM. While close monitoring for progression remains the best management for most patients with SMM, in this article, we discuss if treatment initiation before myeloma-defining events occur might be relevant in selected high-risk cases. Two randomized clinical trials have shown a clinical benefit of initiating treatment at the SMM stage, whereof 1 showed an overall survival benefit for those receiving treatment. We discuss various risk stratification models in SMM, important treatment trials, and ongoing trials. Finally, we present how to approach the clinical management of patients with SMM.
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Affiliation(s)
- Sigrun Thorsteinsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
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24
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Al‐Kuraishy HM, Al‐Gareeb AI, Mohammed AA, Alexiou A, Papadakis M, Batiha GE. The potential link between Covid-19 and multiple myeloma: A new saga. Immun Inflamm Dis 2022; 10:e701. [PMID: 36444620 PMCID: PMC9673426 DOI: 10.1002/iid3.701] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/26/2022] [Accepted: 08/29/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Covid-19 is considered a primary respiratory disease-causing viral pneumonia and, in severe cases, leads to acute lung injury and acute respiratory distress syndrome (ARDS). In addition, though, extra-pulmonary manifestations of Covid-19 have been shown. Furthermore, severe acute respiratory distress syndrome coronavirus type 2 (SARS-CoV-2) infection may coexist with several malignancies, including multiple myeloma (MM). METHODS This critical literature review aimed to find the potential association between SARS-CoV-2 infection and MM in Covid-19 patients with underlying MM. Narrative literature and databases search revealed that ARDS is developed in both MM and Covid-19 due to hypercalcemia and proteasome dysfunction. RESULTS Notably, the expression of angiogenic factors and glutamine deficiency could link Covid-19 severity and MM in the pathogenesis of cardiovascular complications. MM and Covid-19 share thrombosis as a typical complication; unlike thrombosis in Covid-19, which reflects disease severity, thrombosis does not reflect disease severity in MM. In both conditions, thromboprophylaxis is essential to prevent pulmonary thrombosis and other thromboembolic disorders. Moreover, Covid-19 may exacerbate the development of acute kidney injury and neurological complications in MM patients. CONCLUSION These findings highlighted that MM patients might be a risk group for Covid-19 severity due to underlying immunosuppression and most of those patients need specific management in the Covid-19 era.
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Affiliation(s)
- Hayder M. Al‐Kuraishy
- Department of Clinical Pharmacology and Medicine, College of MedicineALmustansiriyia UniversityBaghdadIraq
| | - Ali I. Al‐Gareeb
- Department of Clinical Pharmacology and Medicine, College of MedicineALmustansiriyia UniversityBaghdadIraq
| | - Ali A Mohammed
- The Chest Clinic, Barts Health NHS TrustWhipps Cross University HospitalLondonUK
| | - Athanasios Alexiou
- Department of Science and EngineeringNovel Global Community Educational FoundationHebershamAustralia
- AFNP MedWienAustria
| | - Marios Papadakis
- Department of Surgery II, University Hospital Witten‐HerdeckeUniversity of Witten‐HerdeckeWuppertalGermany
| | - Gaber El‐Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary MedicineDamanhour UniversityDamanhourEgypt
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25
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de Leval L, Alizadeh AA, Bergsagel PL, Campo E, Davies A, Dogan A, Fitzgibbon J, Horwitz SM, Melnick AM, Morice WG, Morin RD, Nadel B, Pileri SA, Rosenquist R, Rossi D, Salaverria I, Steidl C, Treon SP, Zelenetz AD, Advani RH, Allen CE, Ansell SM, Chan WC, Cook JR, Cook LB, d’Amore F, Dirnhofer S, Dreyling M, Dunleavy K, Feldman AL, Fend F, Gaulard P, Ghia P, Gribben JG, Hermine O, Hodson DJ, Hsi ED, Inghirami G, Jaffe ES, Karube K, Kataoka K, Klapper W, Kim WS, King RL, Ko YH, LaCasce AS, Lenz G, Martin-Subero JI, Piris MA, Pittaluga S, Pasqualucci L, Quintanilla-Martinez L, Rodig SJ, Rosenwald A, Salles GA, San-Miguel J, Savage KJ, Sehn LH, Semenzato G, Staudt LM, Swerdlow SH, Tam CS, Trotman J, Vose JM, Weigert O, Wilson WH, Winter JN, Wu CJ, Zinzani PL, Zucca E, Bagg A, Scott DW. Genomic profiling for clinical decision making in lymphoid neoplasms. Blood 2022; 140:2193-2227. [PMID: 36001803 PMCID: PMC9837456 DOI: 10.1182/blood.2022015854] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/15/2022] [Indexed: 01/28/2023] Open
Abstract
With the introduction of large-scale molecular profiling methods and high-throughput sequencing technologies, the genomic features of most lymphoid neoplasms have been characterized at an unprecedented scale. Although the principles for the classification and diagnosis of these disorders, founded on a multidimensional definition of disease entities, have been consolidated over the past 25 years, novel genomic data have markedly enhanced our understanding of lymphomagenesis and enriched the description of disease entities at the molecular level. Yet, the current diagnosis of lymphoid tumors is largely based on morphological assessment and immunophenotyping, with only few entities being defined by genomic criteria. This paper, which accompanies the International Consensus Classification of mature lymphoid neoplasms, will address how established assays and newly developed technologies for molecular testing already complement clinical diagnoses and provide a novel lens on disease classification. More specifically, their contributions to diagnosis refinement, risk stratification, and therapy prediction will be considered for the main categories of lymphoid neoplasms. The potential of whole-genome sequencing, circulating tumor DNA analyses, single-cell analyses, and epigenetic profiling will be discussed because these will likely become important future tools for implementing precision medicine approaches in clinical decision making for patients with lymphoid malignancies.
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Affiliation(s)
- Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Ash A. Alizadeh
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
- Stanford Cancer Institute, Stanford University, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA
| | - P. Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Phoenix, AZ
| | - Elias Campo
- Haematopathology Section, Hospital Clínic, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Andrew Davies
- Centre for Cancer Immunology, University of Southampton, Southampton, United Kingdom
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jude Fitzgibbon
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Steven M. Horwitz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - William G. Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Ryan D. Morin
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Bertrand Nadel
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France
| | - Stefano A. Pileri
- Haematopathology Division, IRCCS, Istituto Europeo di Oncologia, IEO, Milan, Italy
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Solna, Sweden
| | - Davide Rossi
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | | | - Andrew D. Zelenetz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Ranjana H. Advani
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
| | - Carl E. Allen
- Division of Pediatric Hematology-Oncology, Baylor College of Medicine, Houston, TX
| | | | - Wing C. Chan
- Department of Pathology, City of Hope National Medical Center, Duarte, CA
| | - James R. Cook
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Lucy B. Cook
- Centre for Haematology, Imperial College London, London, United Kingdom
| | - Francesco d’Amore
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Kieron Dunleavy
- Division of Hematology and Oncology, Georgetown Lombardi Comprehensive Cancer Centre, Georgetown University Hospital, Washington, DC
| | - Andrew L. Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Falko Fend
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Philippe Gaulard
- Department of Pathology, University Hospital Henri Mondor, AP-HP, Créteil, France
- Faculty of Medicine, IMRB, INSERM U955, University of Paris-Est Créteil, Créteil, France
| | - Paolo Ghia
- Università Vita-Salute San Raffaele and IRCCS Ospedale San Raffaele, Milan, Italy
| | - John G. Gribben
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Olivier Hermine
- Service D’hématologie, Hôpital Universitaire Necker, Université René Descartes, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Daniel J. Hodson
- Wellcome MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Eric D. Hsi
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Giorgio Inghirami
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Elaine S. Jaffe
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Kennosuke Karube
- Department of Pathology and Laboratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keisuke Kataoka
- Division of Molecular Oncology, National Cancer Center Research Institute, Toyko, Japan
- Division of Hematology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Wolfram Klapper
- Hematopathology Section and Lymph Node Registry, Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Won Seog Kim
- Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea
| | - Rebecca L. King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Young H. Ko
- Department of Pathology, Cheju Halla General Hospital, Jeju, Korea
| | | | - Georg Lenz
- Department of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Muenster, Germany
| | - José I. Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Miguel A. Piris
- Department of Pathology, Jiménez Díaz Foundation University Hospital, CIBERONC, Madrid, Spain
| | - Stefania Pittaluga
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Laura Pasqualucci
- Institute for Cancer Genetics, Columbia University, New York, NY
- Department of Pathology & Cell Biology, Columbia University, New York, NY
- The Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Scott J. Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | | | - Gilles A. Salles
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jesus San-Miguel
- Clínica Universidad de Navarra, Navarra, Cancer Center of University of Navarra, Cima Universidad de NavarraI, Instituto de Investigacion Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Céncer, Pamplona, Spain
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Laurie H. Sehn
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Gianpietro Semenzato
- Department of Medicine, University of Padua and Veneto Institute of Molecular Medicine, Padova, Italy
| | - Louis M. Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Steven H. Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Judith Trotman
- Haematology Department, Concord Repatriation General Hospital, Sydney, Australia
| | - Julie M. Vose
- Department of Internal Medicine, Division of Hematology-Oncology, University of Nebraska Medical Center, Omaha, NE
| | - Oliver Weigert
- Department of Medicine III, LMU Hospital, Munich, Germany
| | - Wyndham H. Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jane N. Winter
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Pier L. Zinzani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna Istitudo di Ematologia “Seràgnoli” and Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale Università di Bologna, Bologna, Italy
| | - Emanuele Zucca
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
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Sklavenitis-Pistofidis R, Aranha MP, Redd RA, Baginska J, Haradhvala NJ, Hallisey M, Dutta AK, Savell A, Varmeh S, Heilpern-Mallory D, Ujwary S, Zavidij O, Aguet F, Su NK, Lightbody ED, Bustoros M, Tahri S, Mouhieddine TH, Wu T, Flechon L, Anand S, Rosenblatt JM, Zonder J, Vredenburgh JJ, Boruchov A, Bhutani M, Usmani SZ, Matous J, Yee AJ, Jakubowiak A, Laubach J, Manier S, Nadeem O, Richardson P, Badros AZ, Mateos MV, Trippa L, Getz G, Ghobrial IM. Immune biomarkers of response to immunotherapy in patients with high-risk smoldering myeloma. Cancer Cell 2022; 40:1358-1373.e8. [PMID: 36379208 PMCID: PMC10019228 DOI: 10.1016/j.ccell.2022.10.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 08/03/2022] [Accepted: 10/18/2022] [Indexed: 11/15/2022]
Abstract
Patients with smoldering multiple myeloma (SMM) are observed until progression, but early treatment may improve outcomes. We conducted a phase II trial of elotuzumab, lenalidomide, and dexamethasone (EloLenDex) in patients with high-risk SMM and performed single-cell RNA and T cell receptor (TCR) sequencing on 149 bone marrow (BM) and peripheral blood (PB) samples from patients and healthy donors (HDs). We find that early treatment with EloLenDex is safe and effective and provide a comprehensive characterization of alterations in immune cell composition and TCR repertoire diversity in patients. We show that the similarity of a patient's immune cell composition to that of HDs may have prognostic relevance at diagnosis and after treatment and that the abundance of granzyme K (GZMK)+ CD8+ effector memory T (TEM) cells may be associated with treatment response. Last, we uncover similarities between immune alterations observed in the BM and PB, suggesting that PB-based immune profiling may have diagnostic and prognostic utility.
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Affiliation(s)
- Romanos Sklavenitis-Pistofidis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Michelle P Aranha
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Robert A Redd
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Joanna Baginska
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Nicholas J Haradhvala
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA 02138, USA
| | - Margaret Hallisey
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Ankit K Dutta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alexandra Savell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Shohreh Varmeh
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniel Heilpern-Mallory
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sylvia Ujwary
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Oksana Zavidij
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Francois Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Nang K Su
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Elizabeth D Lightbody
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Mark Bustoros
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sabrin Tahri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tarek H Mouhieddine
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ting Wu
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Lea Flechon
- INSERM UMRS1277, CNRS UMR9020, Lille University, 59000 Lille, France
| | - Shankara Anand
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Jeffrey Zonder
- Barbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA
| | | | - Adam Boruchov
- St. Francis Hospital and Cancer Center, Hartford, CT 06105, USA
| | | | | | | | - Andrew J Yee
- Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA
| | | | - Jacob Laubach
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Salomon Manier
- INSERM UMRS1277, CNRS UMR9020, Lille University, 59000 Lille, France; Department of Hematology, CHU Lille, Lille University, 59000 Lille, France
| | - Omar Nadeem
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Paul Richardson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Ashraf Z Badros
- University of Maryland Marlene and Stewart Greenebaum Cancer Center, Baltimore, MD 21201, USA
| | - Maria-Victoria Mateos
- University Hospital of Salamanca - Instituto de Investigación Biomédica de Salamanca, 37007 Salamanca, Spain
| | - Lorenzo Trippa
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Gad Getz
- Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA; Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA.
| | - Irene M Ghobrial
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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27
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Termini R, Žihala D, Terpos E, Perez-Montaña A, Jelínek T, Raab M, Weinhold N, Mai EK, Grab AL, Corre J, Vergez F, Sacco A, Chiarini M, Giustini V, Tucci A, Rodriguez S, Moreno C, Perez C, Maia C, Martín-Sánchez E, Guerrero C, Botta C, Garces JJ, Lopez A, Tamariz-Amador LE, Prosper F, Bargay J, Cabezudo ME, Ocio EM, Hájek R, Martinez-Lopez J, Solano F, Iglesias R, Paiva A, Geraldes C, Vitoria H, Gomez C, De Arriba F, Ludwig H, Garcia-Guiñon A, Casanova M, Alegre A, Cabañas V, Sirvent M, Oriol A, de la Rubia J, Hernández-Rivas JÁ, Palomera L, Sarasa M, Rios P, Puig N, Mateos MV, Flores-Montero J, Orfao A, Goldschmidt H, Avet-Loiseau H, Roccaro AM, San-Miguel JF, Paiva B. Circulating Tumor and Immune Cells for Minimally Invasive Risk Stratification of Smoldering Multiple Myeloma. Clin Cancer Res 2022; 28:4771-4781. [PMID: 36074126 DOI: 10.1158/1078-0432.ccr-22-1594] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 07/01/2022] [Accepted: 09/06/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE Early intervention in smoldering multiple myeloma (SMM) requires optimal risk stratification to avoid under- and overtreatment. We hypothesized that replacing bone marrow (BM) plasma cells (PC) for circulating tumor cells (CTC), and adding immune biomarkers in peripheral blood (PB) for the identification of patients at risk of progression due to lost immune surveillance, could improve the International Myeloma Working Group 20/2/20 model. EXPERIMENTAL DESIGN We report the outcomes of 150 patients with SMM enrolled in the iMMunocell study, in which serial assessment of tumor and immune cells in PB was performed every 6 months for a period of 3 years since enrollment. RESULTS Patients with >0.015% versus ≤0.015% CTCs at baseline had a median time-to-progression of 17 months versus not reached (HR, 4.9; P < 0.001). Presence of >20% BM PCs had no prognostic value in a multivariate analysis that included serum free light-chain ratio >20, >2 g/dL M-protein, and >0.015% CTCs. The 20/2/20 and 20/2/0.015 models yielded similar risk stratification (C-index of 0.76 and 0.78). The combination of the 20/2/0.015 model with an immune risk score based on the percentages of SLAN+ and SLAN- nonclassical monocytes, CD69+HLADR+ cytotoxic NK cells, and CD4+CXCR3+ stem central memory T cells, allowed patient' stratification into low, intermediate-low, intermediate-high, and high-risk disease with 0%, 20%, 39%, and 73% rates of progression at 2 years. CONCLUSIONS This study showed that CTCs outperform BM PCs for assessing tumor burden. Additional analysis in larger series are needed to define a consensus cutoff of CTCs for minimally invasive stratification of SMM.
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Affiliation(s)
- Rosalinda Termini
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - David Žihala
- Department of Hematooncology, University Hospital Ostrava and University of Ostrava, Ostrava, Czech Republic
| | - Evangelos Terpos
- National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | | | - Tomáš Jelínek
- Department of Hematooncology, University Hospital Ostrava and University of Ostrava, Ostrava, Czech Republic
| | - Marc Raab
- Heidelberg University Clinic Hospital, Department of Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Niels Weinhold
- Heidelberg University Clinic Hospital, Department of Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Elias K Mai
- Heidelberg University Clinic Hospital, Department of Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Anna Luise Grab
- Heidelberg University Clinic Hospital, Department of Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Jill Corre
- Centre de Recherche en Cancérologie de Toulouse, Unité 1037, INSERM, Toulouse, France
| | - Francois Vergez
- Centre de Recherche en Cancérologie de Toulouse, Unité 1037, INSERM, Toulouse, France
| | | | | | | | | | - Sara Rodriguez
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Cristina Moreno
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Cristina Perez
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Catarina Maia
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Esperanza Martín-Sánchez
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Camilla Guerrero
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Cirino Botta
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy
| | - Juan-Jose Garces
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Aitziber Lopez
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | | | - Felipe Prosper
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Joan Bargay
- Hospital Sont LLatzer, Palma de Mallorca, Spain
| | | | - Enrique M Ocio
- Hospital Universitario Marqués de Valdecilla (IDIVAL), Universidad de Cantabria, Santander, Spain
| | - Roman Hájek
- Department of Hematooncology, University Hospital Ostrava and University of Ostrava, Ostrava, Czech Republic
| | | | | | | | - Artur Paiva
- Flow Cytometry Unit (UGOC), Department of Clinical Pathology, Centro Hospitalare Universitário de Coimbra (CHUC), Coimbra, Portugal
| | - Catarina Geraldes
- Flow Cytometry Unit (UGOC), Department of Clinical Pathology, Centro Hospitalare Universitário de Coimbra (CHUC), Coimbra, Portugal
| | - Helena Vitoria
- Centro Hospitalare Universitário de Coimbra (CHUC), Coimbra, Portugal
| | | | - Felipe De Arriba
- Hospital Morales Meseguer, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
| | - Heinz Ludwig
- Wilhelminen Cancer Research Institute, Clinic Ottakring, Vienna, Austria
| | | | | | | | - Valentin Cabañas
- Hospital Virgen de la Arrixaca de Murcia, IMIB Arrixaca, Universidad de Murcia, Murcia, Spain
| | | | - Albert Oriol
- Institut Català d'Oncologia Institut Josep Carreras, Badalona, Spain
| | - Javier de la Rubia
- University Hospital de La Fe, School of Medicine and Dentistry, Catholic University of Valencia, CIBERONC CB16/12/00284, Valencia, Spain
| | | | - Luis Palomera
- Hospital Clinico Universitario Lozano Blesa, Zaragoza, Spain
| | | | - Pablo Rios
- Hospital Nuestra Señora de la Candelara, Santa Cruz de Tenerife, Spain
| | - Noemi Puig
- Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca (IBSAL), University of Salamanca, Salamanca, Spain
| | - Maria-Victoria Mateos
- Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca (IBSAL), University of Salamanca, Salamanca, Spain
| | - Juan Flores-Montero
- Translational and Clinical Research Program, Centro de Investigación del Cancer (IBMCC-USAL, CSIC), Department of Medicine, Cytometry Service, Instituto de Investigación Biosanitaria de Salamanca (IBSAL) and CIBER-ONC (number CB16/12/00400), University of Salamanca, Salamanca, Spain
| | - Alberto Orfao
- Translational and Clinical Research Program, Centro de Investigación del Cancer (IBMCC-USAL, CSIC), Department of Medicine, Cytometry Service, Instituto de Investigación Biosanitaria de Salamanca (IBSAL) and CIBER-ONC (number CB16/12/00400), University of Salamanca, Salamanca, Spain
| | - Hartmut Goldschmidt
- Heidelberg University Clinic Hospital, Department of Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Hervé Avet-Loiseau
- Centre de Recherche en Cancérologie de Toulouse, Unité 1037, INSERM, Toulouse, France
| | | | - Jesus F San-Miguel
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Bruno Paiva
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CCUN, CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
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Mejia Saldarriaga M, Darwiche W, Jayabalan D, Monge J, Rosenbaum C, Pearse RN, Niesvizky R, Bustoros M. Advances in the molecular characterization of multiple myeloma and mechanism of therapeutic resistance. Front Oncol 2022; 12:1020011. [PMID: 36387095 PMCID: PMC9646612 DOI: 10.3389/fonc.2022.1020011] [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: 08/15/2022] [Accepted: 10/07/2022] [Indexed: 11/25/2022] Open
Abstract
Recent insight in the genomic landscape of newly diagnosed multiple myeloma (NDMM) and its precursor conditions, monoclonal gammopathy of uncertain significance (MGUS), and smoldering myeloma have allowed the identification of patients with precursor conditions with a high risk of progression. These cases with "progressor" MGUS/SMM have a higher average mutation burden, have higher rates of mutations in specific genes such as MAPK, DNA repair, MYC, DIS3, and are enriched for specific mutational signatures when compared to non-progressors and are comparable to those found in NDMM. The highly preserved clonal heterogeneity seen upon progression of SMM, combined with the importance of these early variables, suggests that the identification of progressors based on these findings could complement and enhance the currently available clinical models based on tumor burden. Mechanisms leading to relapse/refractory multiple myeloma (RRMM) are of clinical interest given worse overall survival in this population. An Increased mutational burden is seen in patients with RRMM when compared to NDMM, however, there is evidence of branching evolution with many of these mutations being present at the subclonal level. Likewise, alterations in proteins associated with proteosome inhibitor and immunomodulatory drugs activity could partially explain clinical resistance to these agents. Evidence of chromosomal events leading to copy number changes is seen, with the presence of TP53 deletion, mutation, or a combination of both being present in many cases. Additional chromosomal events such as 1q gain and amplification may also interact and lead to resistance.
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Affiliation(s)
| | | | | | | | | | | | | | - Mark Bustoros
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
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29
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Kaur G, Jena L, Gupta R, Farswan A, Gupta A, Sriram K. Correlation of changes in subclonal architecture with progression in the MMRF CoMMpass study. Transl Oncol 2022; 23:101472. [PMID: 35777247 PMCID: PMC9253848 DOI: 10.1016/j.tranon.2022.101472] [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: 09/11/2021] [Revised: 06/03/2022] [Accepted: 06/20/2022] [Indexed: 11/28/2022] Open
Abstract
Multiple myeloma (MM) is a heterogeneous plasma cell proliferative disorder that arises from its premalignant precursor stages through a complex cascade of interactions between clonal mutations and co-evolving microenvironment. The temporo-spatial evolutionary trajectories of MM are established early during myelomatogenesis in precursor stages and retained in MM. Such molecular events impact subsequent disease progression and clinical outcomes. Identification of clonal sweeps of actionable gene targets in MM could reveal potential vulnerabilities that may exist in early stages and thus potentiate prognostication and customization of early therapeutic interventions. We have evaluated clonal evolution at multiple time points in 76 MM patients enrolled in the MMRF CoMMpass study. The major findings of this study are (a) MM progresses predominantly through branching evolution, (b) there is a heterogeneous spectrum of mutational landscapes that include unique actionable gene targets at diagnosis compared to progression, (c) unique clonal gains/ losses of mutant driver genes can be identified in patients with different cytogenetic aberrations, (d) there is a significant correlation between co-occurring oncogenic mutations/ co-occurring subclones e.g., with mutated TP53+SYNE1, NRAS+MAGI3, and anticorrelative dependencies between FAT3+FCGBP gene pairs. Such co-trajectories may synchronize molecular events of drug response, myelomatogenesis and warrant future studies to explore their potential for early prognostication and development of risk stratified personalized therapies in MM.
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Affiliation(s)
- Gurvinder Kaur
- Laboratory Oncology Unit, Dr. B. R.A. IRCH, AIIMS, New Delhi
| | - Lingaraja Jena
- Laboratory Oncology Unit, Dr. B. R.A. IRCH, AIIMS, New Delhi
| | - Ritu Gupta
- Laboratory Oncology Unit, Dr. B. R.A. IRCH, AIIMS, New Delhi.
| | - Akanksha Farswan
- SBILab, Department of Electronics and Communication Engineering, IIIT, Delhi
| | - Anubha Gupta
- SBILab, Department of Electronics and Communication Engineering, IIIT, Delhi.
| | - K Sriram
- Department of Computational Biology & Centre for Computational Biology, IIIT, Delhi
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30
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Rasche L, Schinke C, Maura F, Bauer MA, Ashby C, Deshpande S, Poos AM, Zangari M, Thanendrarajan S, Davies FE, Walker BA, Barlogie B, Landgren O, Morgan GJ, van Rhee F, Weinhold N. The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states. Nat Commun 2022; 13:4517. [PMID: 35922426 PMCID: PMC9349320 DOI: 10.1038/s41467-022-32145-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 07/19/2022] [Indexed: 11/18/2022] Open
Abstract
Deciphering Multiple Myeloma evolution in the whole bone marrow is key to inform curative strategies. Here, we perform spatial-longitudinal whole-exome sequencing, including 140 samples collected from 24 Multiple Myeloma patients during up to 14 years. Applying imaging-guided sampling we observe three evolutionary patterns, including relapse driven by a single-cell expansion, competing/co-existing sub-clones, and unique sub-clones at distinct locations. While we do not find the unique relapse sub-clone in the baseline focal lesion(s), we show a close phylogenetic relationship between baseline focal lesions and relapse disease, highlighting focal lesions as hotspots of tumor evolution. In patients with ≥3 focal lesions on positron-emission-tomography at diagnosis, relapse is driven by multiple distinct sub-clones, whereas in other patients, a single-cell expansion is typically seen (p < 0.01). Notably, we observe resistant sub-clones that can be hidden over years, suggesting that a prerequisite for curative therapies would be to overcome not only tumor heterogeneity but also dormancy.
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Affiliation(s)
- 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
| | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Francesco Maura
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Michael A Bauer
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Cody Ashby
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Shayu Deshpande
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Alexandra M Poos
- Department of Internal Medicine V, University Hospital of Heidelberg, Heidelberg, Germany
| | - Maurizio Zangari
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Faith E Davies
- Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Brian A Walker
- Division of Hematology Oncology, Indiana University, Indianapolis, IN, USA
| | - Bart Barlogie
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Ola Landgren
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Gareth J Morgan
- Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Frits van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Niels Weinhold
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
- Department of Internal Medicine V, University Hospital of Heidelberg, Heidelberg, Germany.
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31
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Sklavenitis-Pistofidis R, Getz G, Ghobrial I, Papaioannou M. Multiple Myeloma With Amplification of Chr1q: Therapeutic Opportunity and Challenges. Front Oncol 2022; 12:961421. [PMID: 35912171 PMCID: PMC9331166 DOI: 10.3389/fonc.2022.961421] [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: 06/04/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Multiple myeloma (MM) is an incurable plasma cell malignancy with a heterogeneous genetic background. Each MM subtype may have its own therapeutic vulnerabilities, and tailored therapy could improve outcomes. However, the cumulative frequency of druggable targets across patients is very low, which has precluded the widespread adoption of precision therapy for patients with MM. Amplification of the long arm of chromosome 1 (Amp1q) is one of the most frequent genetic alterations observed in patients with MM, and its presence predicts inferior outcomes in the era of proteasome inhibitors and immunomodulatory agents. Therefore, establishing precision medicine for MM patients with Amp1q stands to benefit a large portion of patients who are otherwise at higher risk of relapse. In this article, we review the prevalence and clinical significance of Amp1q in patients with MM, its pathogenesis and therapeutic vulnerabilities, and discuss the opportunities and challenges for Amp1q-targeted therapy.
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Affiliation(s)
- Romanos Sklavenitis-Pistofidis
- Harvard Medical School, Boston, MA, United States
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, United States
- Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Gad Getz
- Harvard Medical School, Boston, MA, United States
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, United States
- Department of Pathology, Massachusetts General Hospital, Boston, MA, United States
| | - Irene Ghobrial
- Harvard Medical School, Boston, MA, United States
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, United States
| | - Maria Papaioannou
- Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Hematology Unit, 1st Internal Medicine Department, AHEPA University Hospital, Thessaloniki, Greece
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32
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Sudha P, Ahsan A, Ashby C, Kausar T, Khera A, Kazeroun MH, Hsu CC, Wang L, Fitzsimons E, Salminen O, Blaney P, Czader M, Williams J, Abu Zaid MI, Ansari-Pour N, Yong KL, van Rhee F, Pierceall WE, Morgan GJ, Flynt E, Gooding S, Abonour R, Ramasamy K, Thakurta A, Walker BA. Myeloma Genome Project Panel is a Comprehensive Targeted Genomics Panel for Molecular Profiling of Patients with Multiple Myeloma. Clin Cancer Res 2022; 28:2854-2864. [PMID: 35522533 PMCID: PMC9250632 DOI: 10.1158/1078-0432.ccr-21-3695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 01/11/2022] [Accepted: 05/03/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE We designed a comprehensive multiple myeloma targeted sequencing panel to identify common genomic abnormalities in a single assay and validated it against known standards. EXPERIMENTAL DESIGN The panel comprised 228 genes/exons for mutations, 6 regions for translocations, and 56 regions for copy number abnormalities (CNA). Toward panel validation, targeted sequencing was conducted on 233 patient samples and further validated using clinical FISH (translocations), multiplex ligation probe analysis (MLPA; CNAs), whole-genome sequencing (WGS; CNAs, mutations, translocations), or droplet digital PCR (ddPCR) of known standards (mutations). RESULTS Canonical immunoglobulin heavy chain translocations were detected in 43.2% of patients by sequencing, and aligned with FISH except for 1 patient. CNAs determined by sequencing and MLPA for 22 regions were comparable in 103 samples and concordance between platforms was R2 = 0.969. Variant allele frequency (VAF) for 74 mutations were compared between sequencing and ddPCR with concordance of R2 = 0.9849. CONCLUSIONS In summary, we have developed a targeted sequencing panel that is as robust or superior to FISH and WGS. This molecular panel is cost-effective, comprehensive, clinically actionable, and can be routinely deployed to assist risk stratification at diagnosis or posttreatment to guide sequencing of therapies.
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Affiliation(s)
- Parvathi Sudha
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Aarif Ahsan
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Cody Ashby
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Tasneem Kausar
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Akhil Khera
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Mohammad H. Kazeroun
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Chih-Chao Hsu
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Lin Wang
- Department of Pathology and Laboratory Research, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | | | - Outi Salminen
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Patrick Blaney
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York
| | - Magdalena Czader
- Department of Pathology and Laboratory Research, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Jonathan Williams
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Mohammad I. Abu Zaid
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Naser Ansari-Pour
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Kwee L. Yong
- Cancer Institute, University College London, London, United Kingdom
| | - Frits van Rhee
- Myeloma Center, Winthrop P. Rockefeller Cancer institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | | | - Gareth J. Morgan
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York
| | - Erin Flynt
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Sarah Gooding
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
- Oxford Center for Translational Myeloma Research, University of Oxford, Oxford, United Kingdom
| | - Rafat Abonour
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Karthik Ramasamy
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
- Oxford Center for Translational Myeloma Research, University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Anjan Thakurta
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
- Oxford Center for Translational Myeloma Research, University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Brian A. Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
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33
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The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms. Leukemia 2022; 36:1720-1748. [PMID: 35732829 PMCID: PMC9214472 DOI: 10.1038/s41375-022-01620-2] [Citation(s) in RCA: 1211] [Impact Index Per Article: 605.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 05/17/2022] [Accepted: 05/26/2022] [Indexed: 02/05/2023]
Abstract
We herein present an overview of the upcoming 5th edition of the World Health Organization Classification of Haematolymphoid Tumours focussing on lymphoid neoplasms. Myeloid and histiocytic neoplasms will be presented in a separate accompanying article. Besides listing the entities of the classification, we highlight and explain changes from the revised 4th edition. These include reorganization of entities by a hierarchical system as is adopted throughout the 5th edition of the WHO classification of tumours of all organ systems, modification of nomenclature for some entities, revision of diagnostic criteria or subtypes, deletion of certain entities, and introduction of new entities, as well as inclusion of tumour-like lesions, mesenchymal lesions specific to lymph node and spleen, and germline predisposition syndromes associated with the lymphoid neoplasms.
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34
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Bustoros M, Anand S, Sklavenitis-Pistofidis R, Redd R, Boyle EM, Zhitomirsky B, Dunford AJ, Tai YT, Chavda SJ, Boehner C, Neuse CJ, Rahmat M, Dutta A, Casneuf T, Verona R, Kastritis E, Trippa L, Stewart C, Walker BA, Davies FE, Dimopoulos MA, Bergsagel PL, Yong K, Morgan GJ, Aguet F, Getz G, Ghobrial IM. Genetic subtypes of smoldering multiple myeloma are associated with distinct pathogenic phenotypes and clinical outcomes. Nat Commun 2022; 13:3449. [PMID: 35705541 PMCID: PMC9200804 DOI: 10.1038/s41467-022-30694-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 05/13/2022] [Indexed: 12/12/2022] Open
Abstract
Smoldering multiple myeloma (SMM) is a precursor condition of multiple myeloma (MM) with significant heterogeneity in disease progression. Existing clinical models of progression risk do not fully capture this heterogeneity. Here we integrate 42 genetic alterations from 214 SMM patients using unsupervised binary matrix factorization (BMF) clustering and identify six distinct genetic subtypes. These subtypes are differentially associated with established MM-related RNA signatures, oncogenic and immune transcriptional profiles, and evolving clinical biomarkers. Three genetic subtypes are associated with increased risk of progression to active MM in both the primary and validation cohorts, indicating they can be used to better predict high and low-risk patients within the currently used clinical risk stratification models.
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Affiliation(s)
- Mark Bustoros
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
- Division of Hematology & Medical Oncology, Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Shankara Anand
- Broad Institute of MIT & Harvard, Cambridge, MA, USA
- Boston University School of Medicine, Boston, MA, USA
| | | | - Robert Redd
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Eileen M Boyle
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | | | | | - Yu-Tzu Tai
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
| | - Selina J Chavda
- Division of Hematology, University College London, London, UK
| | - Cody Boehner
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
| | - Carl Jannes Neuse
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
- University of Münster Medical School, Münster, Germany
| | - Mahshid Rahmat
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
| | - Ankit Dutta
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
| | | | - Raluca Verona
- Janssen Research and Development, Spring House, PA, USA
| | - Efstathis Kastritis
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Lorenzo Trippa
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Chip Stewart
- Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - Brian A Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University, Indianapolis, IN, USA
| | - Faith E Davies
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | | | | | - Kwee Yong
- Division of Hematology, University College London, London, UK
| | - Gareth J Morgan
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | | | - Gad Getz
- Broad Institute of MIT & Harvard, Cambridge, MA, USA.
- Department of Pathology, Massachusetts General Hospital Cancer Center, Boston, MA, USA.
| | - Irene M Ghobrial
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA.
- Broad Institute of MIT & Harvard, Cambridge, MA, USA.
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35
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Jiang Q, Mao H, He G, Mao X. Targeting the oncogenic transcription factor c-Maf for the treatment of multiple myeloma. Cancer Lett 2022; 543:215791. [PMID: 35700821 DOI: 10.1016/j.canlet.2022.215791] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/07/2022] [Accepted: 06/09/2022] [Indexed: 11/28/2022]
Abstract
Multiple myeloma (MM) is a hematologic malignancy derived from clonal expansion of plasma cells within the bone marrow and it may progress to the extramedullary region in late stage of the disease course. c-Maf, an oncogenic zipper leucine transcription factor, is overexpressed in more than 50% MM cell lines and primary species in association with chromosomal translocation, aberrant signaling transduction and modulation of stability. By triggering the transcription of critical genes including CCND2, ITGB7, CCR1, ARK5, c-Maf promotes MM progress, proliferation, survival and chemoresistance. Notably, c-Maf is usually expressed at the embryonic stage to promote cell differentiation but less expressed in healthy adult cells. c-Maf has long been proposed as a promising therapeutic target of MM and a panel of small molecule compounds have been identified to downregulate c-Maf and display potent anti-myeloma activities. In the current article, we take a concise summary on the advances in c-Maf biology, pathophysiology, and targeted drug discovery in the potential treatment of MM.
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Affiliation(s)
- Qiuyun Jiang
- Department of Orthopaedics, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, PR China; Guangdong Institute of Cardiovascular Diseases, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, PR China; Key Laboratory of Protein Modifications and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 511436, PR China
| | - Hongwu Mao
- Department of Orthopaedics, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, PR China
| | - Guisong He
- Department of Orthopaedics, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, PR China.
| | - Xinliang Mao
- Guangdong Institute of Cardiovascular Diseases, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, PR China; Key Laboratory of Protein Modifications and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 511436, PR China.
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36
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Yang P, Qu Y, Wang M, Chu B, Chen W, Zheng Y, Niu T, Qian Z. Pathogenesis and treatment of multiple myeloma. MedComm (Beijing) 2022; 3:e146. [PMID: 35665368 PMCID: PMC9162151 DOI: 10.1002/mco2.146] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 04/27/2022] [Accepted: 04/27/2022] [Indexed: 02/05/2023] Open
Abstract
Multiple myeloma (MM) is the second‐ranking malignancy in hematological tumors. The pathogenesis of MM is complex with high heterogeneity, and the development of the disease is a multistep process. Chromosomal translocations, aneuploidy, genetic mutations, and epigenetic aberrations are essential in disease initiation and progression. The correlation between MM cells and the bone marrow microenvironment is associated with the survival, progression, migration, and drug resistance of MM cells. In recent decades, there has been a significant change in the paradigm for the management of MM. With the development of proteasome inhibitors, immunomodulatory drugs, monoclonal antibodies, chimeric antigen receptor T‐cell therapies, and novel agents, the survival of MM patients has been significantly improved. In addition, nanotechnology acts as both a nanocarrier and a treatment tool for MM. The properties and responsive conditions of nanomedicine can be tailored to reach different goals. Nanomedicine with a precise targeting property has offered great potential for drug delivery and assisted in tumor immunotherapy. In this review, we summarize the pathogenesis and current treatment options of MM, then overview recent advances in nanomedicine‐based systems, aiming to provide more insights into the treatment of MM.
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Affiliation(s)
- Peipei Yang
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
| | - Ying Qu
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
| | - Mengyao Wang
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
| | - Bingyang Chu
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
| | - Wen Chen
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
| | - Yuhuan Zheng
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
| | - Ting Niu
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
| | - Zhiyong Qian
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
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37
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The Leading Role of the Immune Microenvironment in Multiple Myeloma: A New Target with a Great Prognostic and Clinical Value. J Clin Med 2022; 11:jcm11092513. [PMID: 35566637 PMCID: PMC9105926 DOI: 10.3390/jcm11092513] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/26/2022] [Accepted: 04/28/2022] [Indexed: 02/04/2023] Open
Abstract
Multiple myeloma (MM) is a plasma cell (PC) malignancy whose development flourishes in the bone marrow microenvironment (BMME). The BMME components’ immunoediting may foster MM progression by favoring initial immunotolerance and subsequent tumor cell escape from immune surveillance. In this dynamic process, immune effector cells are silenced and become progressively anergic, thus contributing to explaining the mechanisms of drug resistance in unresponsive and relapsed MM patients. Besides traditional treatments, several new strategies seek to re-establish the immunological balance in the BMME, especially in already-treated MM patients, by targeting key components of the immunoediting process. Immune checkpoints, such as CXCR4, T cell immunoreceptor with immunoglobulin and ITIM domains (TIGIT), PD-1, and CTLA-4, have been identified as common immunotolerance steps for immunotherapy. B-cell maturation antigen (BCMA), expressed on MMPCs, is a target for CAR-T cell therapy, antibody-(Ab) drug conjugates (ADCs), and bispecific mAbs. Approved anti-CD38 (daratumumab, isatuximab), anti-VLA4 (natalizumab), and anti-SLAMF7 (elotuzumab) mAbs interfere with immunoediting pathways. New experimental drugs currently being evaluated (CD137 blockers, MSC-derived microvesicle blockers, CSF-1/CSF-1R system blockers, and Th17/IL-17/IL-17R blockers) or already approved (denosumab and bisphosphonates) may help slow down immune escape and disease progression. Thus, the identification of deregulated mechanisms may identify novel immunotherapeutic approaches to improve MM patients’ outcomes.
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38
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Liang Y, Huang W, Wang S, Su W, Situ Q, He L. Synthesis of a novel nitrogen mustard–conjugated bis-terpyridine ruthenium(II) complex as a potent anticancer agent that induces cell cycle arrest and apoptosis. JOURNAL OF CHEMICAL RESEARCH 2022. [DOI: 10.1177/17475198221085482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A fairly small-sized aryl nitrogen mustard–conjugated terpyridine is synthesized in only two steps as a ligand to chelate with RuCl3 to afford a [Ru(tpy-CM)2]Cl2 complex. This complex exhibits prominent antiproliferative activity toward several tumor cells. Further studies conclusively show that the complex suppresses human renal clear cell carcinoma cells (786-O cells) by inducing G1 phase cell cycle arrest and apoptosis. This work provides a synthetic and therapeutic model for nitrogen mustard-containing metal complexes.
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Affiliation(s)
- Yuanwei Liang
- Department of Chemistry, Guangdong Ocean University, Zhanjiang, P.R. of China
| | - Weiting Huang
- Department of Chemistry, Guangdong Ocean University, Zhanjiang, P.R. of China
| | - Siqi Wang
- Department of Chemistry, Guangdong Ocean University, Zhanjiang, P.R. of China
| | - Weiming Su
- College of Food Science and Technology, Guangdong Ocean University, Zhanjiang, P.R. of China
- Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, Guangdong Ocean University, Zhanjiang, P.R. of China
- Guangdong Engineering Research Center of Seafood, Guangdong Ocean University, Zhanjiang, P.R. of China
| | - Qianyi Situ
- Department of Chemistry, Guangdong Ocean University, Zhanjiang, P.R. of China
| | - Luxin He
- Department of Chemistry, Guangdong Ocean University, Zhanjiang, P.R. of China
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39
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Bonello F, Cani L, D'Agostino M. Risk Stratification Before and During Treatment in Newly Diagnosed Multiple Myeloma: From Clinical Trials to the Real-World Setting. Front Oncol 2022; 12:830922. [PMID: 35356221 PMCID: PMC8959380 DOI: 10.3389/fonc.2022.830922] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/08/2022] [Indexed: 12/22/2022] Open
Abstract
Multiple Myeloma (MM) is a hematologic malignancy characterized by a wide clinical and biological heterogeneity leading to different patient outcomes. Various prognostic tools to stratify newly diagnosed (ND)MM patients into different risk groups have been proposed. At baseline, the standard-of-care prognostic score is the Revised International Staging System (R-ISS), which stratifies patients according to widely available serum markers (i.e., albumin, β 2-microglobulin, lactate dehydrogenase) and high-risk cytogenetic abnormalities detected by fluorescence in situ hybridization. Though this score clearly identifies a low-risk and a high-risk population, the majority of patients are categorized as at “intermediate risk”. Although new prognostic factors identified through molecular assays (e.g., gene expression profiling, next-generation sequencing) are now available and may improve risk stratification, the majority of them need specialized centers and bioinformatic expertise that may preclude their broad application in the real-world setting. In the last years, new tools to monitor response and measurable residual disease (MRD) with very high sensitivity after the start of treatment have been developed. MRD analyses both inside and outside the bone marrow have a strong prognostic impact, and the achievement of MRD negativity may counterbalance the high-risk behavior identified at baseline. All these techniques have been developed in clinical trials. However, their efficient application in real-world clinical practice and their potential role to guide treatment-decision making are still open issues. This mini review will cover currently known prognostic factors identified before and during first-line treatment, with a particular focus on their potential applications in real-world clinical practice.
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Affiliation(s)
- Francesca Bonello
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Lorenzo Cani
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Mattia D'Agostino
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
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Oben B, Cosemans C, Geerdens E, Linsen L, Vanhees K, Maes B, Theunissen K, Cruys B, Lionetti M, Arijs I, Bolli N, Froyen G, Rummens JL. The Dynamics of Nucleotide Variants in the Progression from Low-Intermediate Myeloma Precursor Conditions to Multiple Myeloma: Studying Serial Samples with a Targeted Sequencing Approach. Cancers (Basel) 2022; 14:cancers14041035. [PMID: 35205782 PMCID: PMC8870380 DOI: 10.3390/cancers14041035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/28/2022] [Accepted: 02/16/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Multiple myeloma (MM), characterized by the expansion of plasma cells in the bone marrow, is the second most common hematological malignancy. This incurable cancer is consistently preceded by non-malignant asymptomatic precursor conditions known as monoclonal gammopathy of undetermined significance (MGUS) and/or smoldering multiple myeloma (SMM). These pre-stages are relatively frequent, but only a select percentage of them will progress to MM. However, it is still not possible to individually predict when and which patients will develop MM. Therefore, this study aimed to investigate the mutational profile in the progression in serial bone marrow samples with a custom targeted sequencing panel, designed to detect variants in myeloma-related genes. Remarkably, almost all variants identified in the MM samples were also already present in the pre-stages, sometimes even many years before the progression. These results provide new important insights into the molecular mechanisms of the precursor conditions and progression to MM. Abstract Multiple myeloma (MM), or Kahler’s disease, is an incurable plasma cell (PC) cancer in the bone marrow (BM). This malignancy is preceded by one or more asymptomatic precursor conditions, monoclonal gammopathy of undetermined significance (MGUS) and/or smoldering multiple myeloma (SMM). The molecular mechanisms and exact cause of this progression are still not completely understood. In this study, the mutational profile underlying the progression from low–intermediate risk myeloma precursor conditions to MM was studied in serial BM smears. A custom capture-based sequencing platform was developed, including 81 myeloma-related genes. The clonal evolution of single nucleotide variants and short insertions and deletions was studied in serial BM smears from 21 progressed precursor patients with a median time of progression of six years. From the 21 patients, four patients had no variation in one of the 81 studied genes. Interestingly, in 16 of the 17 other patients, at least one variant present in MM was also detected in its precursor BM, even years before progression. Here, the variants were present in the pre-stage at a median of 62 months before progression to MM. Studying these paired BM samples contributes to the knowledge of the evolutionary genetic landscape and provides additional insight into the mutational behavior of mutant clones over time throughout progression.
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Affiliation(s)
- Bénedith Oben
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Correspondence:
| | - Charlotte Cosemans
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Centre for Environmental Sciences, Hasselt University, 3590 Diepenbeek, Belgium
| | - Ellen Geerdens
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Loes Linsen
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Activity Center Biobanking, University Hospitals Leuven, 3000 Leuven, Belgium
- University Biobank Limburg (UBiLim), Clinical Biobank, Jessa Hospital, 3500 Hasselt, Belgium
| | - Kimberly Vanhees
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- University Biobank Limburg (UBiLim), Clinical Biobank, Jessa Hospital, 3500 Hasselt, Belgium
| | - Brigitte Maes
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Koen Theunissen
- Department Hematology, Jessa Hospital, 3500 Hasselt, Belgium;
| | - Bert Cruys
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Marta Lionetti
- Department Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (M.L.); (N.B.)
| | - Ingrid Arijs
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Laboratory for Translational Genetics, Department Human Genetics, University of Leuven, 3000 Leuven, Belgium
- Belgian Inflammatory Bowel Disease Research and Development (BIRD), 1930 Zaventem, Belgium
| | - Niccolò Bolli
- Department Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (M.L.); (N.B.)
- Unità Operativa Complessa di Ematologia, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Guy Froyen
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Jean-Luc Rummens
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- University Biobank Limburg (UBiLim), Clinical Biobank, Jessa Hospital, 3500 Hasselt, Belgium
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Chojnacka M, Diamond B, Landgren O, Maura F. Defining genomic events involved in the evolutionary trajectories of myeloma and its precursor conditions. Semin Oncol 2022; 49:11-18. [PMID: 35168813 PMCID: PMC9149131 DOI: 10.1053/j.seminoncol.2022.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 01/08/2022] [Indexed: 02/03/2023]
Abstract
All patients with a diagnosis of multiple myeloma (MM) have a preceding, asymptomatic expansion of clonal plasma cells, clinically recognized as monoclonal gammopathy of undetermined significance or smoldering multiple myeloma (SMM). While most patients with monoclonal gammopathy of undetermined significance have a very small rate of progression, SMM is a widely heterogeneous condition where a fraction of patients will progress to symptomatic MM rather quickly, while others will experience an indolent clinical course. The differentiation between progressive and stable precursor condition thus represents one of the most important unmet clinical needs in the MM community. The ability to identify patients at high-risk of progression before major clonal expansion and onset of end-organ damage would enable strategies for early prevention and perhaps more effective intervention. All proposed criteria to predict the progression of myeloma precursor conditions are built around indirect markers of disease burden and, therefore, are generally able to accurately identify only a small fraction of patients in whom progression to MM is already occurring. Leveraging whole genome and exome sequencing, it has been shown that patients with stable myeloma precursor conditions are characterized by either absence or lower prevalence of distinct genomic events that are detectable in progressive precursor condition years before the progression. In this review, we discuss evolving genomic concepts and tools; and their ability to differentiate myeloma precursor conditions into two distinct entities: one benign (monoclonal gammopathy of benign significance) and another malignant (asymptomatic multiple myeloma).
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Affiliation(s)
- Monika Chojnacka
- Myeloma Service, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Benjamin Diamond
- Myeloma Service, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Ola Landgren
- Myeloma Service, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Francesco Maura
- Myeloma Service, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
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Vendramini E, Bomben R, Pozzo F, Bittolo T, Tissino E, Gattei V, Zucchetto A. KRAS and RAS-MAPK Pathway Deregulation in Mature B Cell Lymphoproliferative Disorders. Cancers (Basel) 2022; 14:666. [PMID: 35158933 PMCID: PMC8833570 DOI: 10.3390/cancers14030666] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/24/2022] [Accepted: 01/26/2022] [Indexed: 02/04/2023] Open
Abstract
KRAS mutations account for the most frequent mutations in human cancers, and are generally correlated with disease aggressiveness, poor prognosis, and poor response to therapies. KRAS is required for adult hematopoiesis and plays a key role in B cell development and mature B cell proliferation and survival, proved to be critical for B cell receptor-induced ERK pathway activation. In mature B cell neoplasms, commonly seen in adults, KRAS and RAS-MAPK pathway aberrations occur in a relevant fraction of patients, reaching high recurrence in some specific subtypes like multiple myeloma and hairy cell leukemia. As inhibitors targeting the RAS-MAPK pathway are being developed and improved, it is of outmost importance to precisely identify all subgroups of patients that could potentially benefit from their use. Herein, we review the role of KRAS and RAS-MAPK signaling in malignant hematopoiesis, focusing on mature B cell lymphoproliferative disorders. We discuss KRAS and RAS-MAPK pathway aberrations describing type, incidence, mutual exclusion with other genetic abnormalities, and association with prognosis. We review the current therapeutic strategies applied in mature B cell neoplasms to counteract RAS-MAPK signaling in pre-clinical and clinical studies, including most promising combination therapies. We finally present an overview of genetically engineered mouse models bearing KRAS and RAS-MAPK pathway aberrations in the hematopoietic compartment, which are valuable tools in the understanding of cancer biology and etiology.
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Affiliation(s)
- Elena Vendramini
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, Italy; (R.B.); (F.P.); (T.B.); (E.T.); (V.G.); (A.Z.)
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miRNA-seq and clinical evaluation in multiple myeloma: miR-181a overexpression predicts short-term disease progression and poor post-treatment outcome. Br J Cancer 2022; 126:79-90. [PMID: 34718359 PMCID: PMC8727627 DOI: 10.1038/s41416-021-01602-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/10/2021] [Accepted: 10/12/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Despite significant advances in multiple myeloma (MM) therapy, disease relapse and treatment resistance remain major obstacles in clinical management. Herein, we have studied the clinical utility of miRNAs in improving patients' risk-stratification and prognosis. METHODS miRNA-seq was performed in CD138+ plasma cells of MM, smoldering multiple myeloma (sMM) and monoclonal gammopathy of undetermined significance (MGUS) patients. The screening MM cohort consisted of 138 patients. miRNA levels of CD138+ plasma cells were quantified by RT-qPCR following 3'-end RNA polyadenylation. Disease progression and patients' death were used as clinical end-point events. Internal validation was conducted by bootstrap analysis. Clinical net benefit on disease prognosis was assessed by decision curve analysis. Kruykov et al. 2016 served as validation cohort (n = 151). RESULTS miRNA-seq highlighted miR-181a to be upregulated in MM vs. sMM/MGUS, and R-ISS III vs. I patients. Screening and validation cohorts confirmed the significantly higher risk for short-term progression and worse survival of the patients overexpressing miR-181a. Multivariate models integrating miR-181a with disease established markers led to superior risk-stratification and clinical benefit for MM prognosis. CONCLUSIONS CD138+ overexpression of miR-181a was strongly correlated with inferior disease outcome and contributed to superior prediction of MM patients early progression, supporting personalised prognosis and treatment decisions.
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Visram A, Cook J, Warsame R. Smoldering multiple myeloma: evolving diagnostic criteria and treatment strategies. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2021; 2021:673-681. [PMID: 34889380 PMCID: PMC8791169 DOI: 10.1182/hematology.2021000304] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The adage for smoldering myeloma (SMM) has been to observe without treatment, until criteria for active multiple myeloma were satisfied. Definitions and risk stratification models have become more sophisticated, with prognostication tailored to include high-risk cytogenetics as per the most recent International Myeloma Working Group 2020 risk model. Moreover, progress in defining genomic evolution and changes in the bone marrow microenvironment through the monoclonal continuum have given insight into the complexities underlying the different patterns of progression observed in SMM. Given recent data showing improved progression-free survival with early intervention in high-risk SMM, the current dilemma is focused on how these patients should be treated. This case-based article maps the significant advancements made in the diagnosis and risk stratification of SMM. Data from landmark clinical trials will also be discussed, and ongoing trials are summarized. Ultimately, we outline our approach to SMM and hope to impart to the reader a sound concept of the current clinical management of SMM.
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Affiliation(s)
- Alissa Visram
- Division of Hematology, The Ottawa Hospital, Ottawa, ON, Canada
- Division of Hematology, Mayo Clinic, Rochester, MN
| | - Joselle Cook
- Division of Hematology, The Ottawa Hospital, Ottawa, ON, Canada
| | - Rahma Warsame
- Division of Hematology, The Ottawa Hospital, Ottawa, ON, Canada
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Aksenova AY, Zhuk AS, Lada AG, Zotova IV, Stepchenkova EI, Kostroma II, Gritsaev SV, Pavlov YI. Genome Instability in Multiple Myeloma: Facts and Factors. Cancers (Basel) 2021; 13:5949. [PMID: 34885058 PMCID: PMC8656811 DOI: 10.3390/cancers13235949] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/20/2021] [Accepted: 11/22/2021] [Indexed: 02/06/2023] Open
Abstract
Multiple myeloma (MM) is a malignant neoplasm of terminally differentiated immunoglobulin-producing B lymphocytes called plasma cells. MM is the second most common hematologic malignancy, and it poses a heavy economic and social burden because it remains incurable and confers a profound disability to patients. Despite current progress in MM treatment, the disease invariably recurs, even after the transplantation of autologous hematopoietic stem cells (ASCT). Biological processes leading to a pathological myeloma clone and the mechanisms of further evolution of the disease are far from complete understanding. Genetically, MM is a complex disease that demonstrates a high level of heterogeneity. Myeloma genomes carry numerous genetic changes, including structural genome variations and chromosomal gains and losses, and these changes occur in combinations with point mutations affecting various cellular pathways, including genome maintenance. MM genome instability in its extreme is manifested in mutation kataegis and complex genomic rearrangements: chromothripsis, templated insertions, and chromoplexy. Chemotherapeutic agents used to treat MM add another level of complexity because many of them exacerbate genome instability. Genome abnormalities are driver events and deciphering their mechanisms will help understand the causes of MM and play a pivotal role in developing new therapies.
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Affiliation(s)
- Anna Y. Aksenova
- Laboratory of Amyloid Biology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Anna S. Zhuk
- International Laboratory “Computer Technologies”, ITMO University, 197101 St. Petersburg, Russia;
| | - Artem G. Lada
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA;
| | - Irina V. Zotova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Elena I. Stepchenkova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Ivan I. Kostroma
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Sergey V. Gritsaev
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Youri I. Pavlov
- Eppley Institute for Research in Cancer, Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
- Departments of Biochemistry and Molecular Biology, Microbiology and Pathology, Genetics Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
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Heider M, Nickel K, Högner M, Bassermann F. Multiple Myeloma: Molecular Pathogenesis and Disease Evolution. Oncol Res Treat 2021; 44:672-681. [PMID: 34749378 DOI: 10.1159/000520312] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/12/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Multiple myeloma is the second most common hematologic malignancy, which to date remains incurable despite advances in treatment strategies including the use of novel substances such as proteasome inhibitors, immunomodulatory drugs, and monoclonal antibodies. SUMMARY The bone marrow-based disease is preceded by the 2 sequential premalignant conditions: monoclonal gammo-pathy of undetermined significance and smoldering myeloma. Plasma cell leukemia and extramedullary disease occur, when malignant clones lose their dependency on the bone marrow. Key genetic features of these plasma cell dyscrasias include chromosomal aberrations such as translocations and hyperdiploidy, which occur during error-prone physiologic processes in B-cell development. Next-generation sequencing studies have identified mutations in major oncogenic pathways and tumor suppressors, which contribute to the pathogenesis of multiple myeloma and have revealed insights into the clonal evolution of the disease, particularly along different lines of therapy. More recently, the importance of epigenetic alterations and the role of the bone marrow microenvironment, including immune and osteogenic cells, have become evident. Key Messages: We herein review the current knowledge of the pathogenesis of multiple myeloma, which is crucial for the development of novel targeted therapeutic strategies. These can contribute to the endeavor to make multiple myeloma a curable disease.
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Affiliation(s)
- Michael Heider
- 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
| | - Katharina Nickel
- Department of Medicine III, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Marion Högner
- Department of Medicine III, Klinikum rechts der Isar, Technical University of Munich, Munich, 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
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Croucher DC, Richards LM, Tsofack SP, Waller D, Li Z, Wei EN, Huang XF, Chesi M, Bergsagel PL, Sebag M, Pugh TJ, Trudel S. Longitudinal single-cell analysis of a myeloma mouse model identifies subclonal molecular programs associated with progression. Nat Commun 2021; 12:6322. [PMID: 34732728 PMCID: PMC8566524 DOI: 10.1038/s41467-021-26598-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 10/12/2021] [Indexed: 12/16/2022] Open
Abstract
Molecular programs that underlie precursor progression in multiple myeloma are incompletely understood. Here, we report a disease spectrum-spanning, single-cell analysis of the Vκ*MYC myeloma mouse model. Using samples obtained from mice with serologically undetectable disease, we identify malignant cells as early as 30 weeks of age and show that these tumours contain subclonal copy number variations that persist throughout progression. We detect intratumoural heterogeneity driven by transcriptional variability during active disease and show that subclonal expression programs are enriched at different times throughout early disease. We then show how one subclonal program related to GCN2 stress response is progressively activated during progression in myeloma patients. Finally, we use chemical and genetic perturbation of GCN2 in vitro to support this pathway as a therapeutic target in myeloma. These findings therefore present a model of precursor progression in Vκ*MYC mice, nominate an adaptive mechanism important for myeloma survival, and highlight the need for single-cell analyses to understand the biological underpinnings of disease progression.
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Affiliation(s)
- Danielle C Croucher
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Laura M Richards
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Serges P Tsofack
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Daniel Waller
- Department of Medicine, McGill University, Montréal, QC, Canada
| | - Zhihua Li
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Ellen Nong Wei
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Xian Fang Huang
- Department of Medicine, McGill University, Montréal, QC, Canada
| | - Marta Chesi
- Division of Hematology/Oncology, Mayo Clinic, Scottsdale, AZ, USA
| | - P Leif Bergsagel
- Division of Hematology/Oncology, Mayo Clinic, Scottsdale, AZ, USA
| | - Michael Sebag
- Department of Medicine, McGill University, Montréal, QC, Canada
| | - Trevor J Pugh
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
- Ontario Institute for Cancer Research, Toronto, ON, Canada.
| | - Suzanne Trudel
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
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Musto P, Engelhardt M, Caers J, Bolli N, Kaiser M, Van de Donk N, Terpos E, Broijl A, De Larrea CF, Gay F, Goldschmidt H, Hajek R, Vangsted AJ, Zamagni E, Zweegman S, Cavo M, Dimopoulos M, Einsele H, Ludwig H, Barosi G, Boccadoro M, Mateos MV, Sonneveld P, Miguel JS. 2021 European Myeloma Network review and consensus statement on smoldering multiple myeloma: how to distinguish (and manage) Dr. Jekyll and Mr. Hyde. Haematologica 2021; 106:2799-2812. [PMID: 34261295 PMCID: PMC8561280 DOI: 10.3324/haematol.2021.278519] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 06/15/2021] [Indexed: 11/09/2022] Open
Abstract
According to the updated International Myeloma Working Group criteria, smoldering multiple myeloma (SMM) is an asymptomatic plasma cell disorder characterized by an M-component >3 g/dL, bone marrow plasma cell infiltration >10% and <60%, and absence of any myeloma-defining event. Active multiple myeloma is preceded by SMM, with a median time to progression of approximately 5 years. Cases of SMM range from the extremes of "monoclonal gammopathy of undetermined significance-like", in which patients never progress during their lifetimes, to "early multiple myeloma", in which transformation into symptomatic disease, based on genomic evolution, may be rapid and devastating. Such a "split personality" makes the prognosis and management of individual patients challenging, particularly with regard to the identification and possible early treatment of high-risk SMM. Outside of clinical trials, the conventional approach to SMM generally remains close observation until progression to active multiple myeloma. However, two prospective, randomized trials have recently demonstrated a significant clinical benefit in terms of time to progression, and of overall survival in one of the two studies, for some patients with higher-risk SMM treated with lenalidomide ± dexamethasone, raising the question of whether such an approach should be considered a new standard of care. In this paper, experts from the European Myeloma Network describe current biological and clinical knowledge on SMM, focusing on novel insights into its molecular pathogenesis, new prognostic scoring systems proposed to identify SMM patients at higher risk of early transformation, and updated results of completed or ongoing clinical trials. Finally, some practical recommendations for the real-life management of these patients, based on Delphi consensus methodology, are provided.
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Affiliation(s)
- Pellegrino Musto
- "Aldo Moro" University School of Medicine, Unit of Hematology and Stem Cell Transplantation, AOUC Policlinico, Bari.
| | - Monika Engelhardt
- Department of Medicine I, Medical Center - University of Freiburg, Freiburg, Faculty of Medicine, University of Freiburg
| | - Jo Caers
- Department of Clinical Hematology, CHU of Liège, Liège, Belgium; Laboratory of Hematology, GIGA-I3, University of Liège, Liège
| | - Niccolo' Bolli
- Division of Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy; Department of Oncology and Onco-Hematology, University of Milan, Milano
| | - Martin Kaiser
- The Institute of Cancer Research, Division of Molecular Pathology, London, UK; The Royal Marsden Hospital, Department of Haematology, London
| | - Niels Van de Donk
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Hematology, Cancer Center Amsterdam, Amsterdam
| | - Evangelos Terpos
- Stem Cell Transplantation Unit, Plasma Cell Dyscrasias Unit, Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens
| | - Annemiek Broijl
- Erasmus MC Cancer Institute and Erasmus University of Rotterdam, Rotterdam
| | - Carlos Fernández De Larrea
- Amyloidosis and Myeloma Unit, Department of Hematology, Hospital Clínic, IDIBAPS, University of Barcelona, Barcelona
| | - Francesca Gay
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Torino
| | - Hartmut Goldschmidt
- University Hospital Heidelberg Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg
| | - Roman Hajek
- Department of Hemato-oncology, University Hospital Ostrava and Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | | | - Elena Zamagni
- Seràgnoli Institute of Hematology, Bologna University School of Medicine, Bologna
| | - Sonja Zweegman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Hematology, Cancer Center Amsterdam, Amsterdam
| | - Michele Cavo
- Seràgnoli Institute of Hematology, Bologna University School of Medicine, Bologna
| | - Meletios Dimopoulos
- National and Kapodistrian University of Athens, School of Medicine, Department of Clinical Therapeutics, Athens
| | - Hermann Einsele
- University Hospital Würzburg, Internal Medicine II, Würzburg
| | - Heinz Ludwig
- Wilhelminen Cancer Research Institute, 1st Department of Medicine, Center for Oncology, Hematology and Palliative Care, Wilhelminenspital, Vienna
| | | | - Mario Boccadoro
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Torino
| | | | - Pieter Sonneveld
- Erasmus MC Cancer Institute and Erasmus University of Rotterdam, Rotterdam
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From Bench to Bedside: The Evolution of Genomics and Its Implications for the Current and Future Management of Multiple Myeloma. ACTA ACUST UNITED AC 2021; 27:213-221. [PMID: 34549910 DOI: 10.1097/ppo.0000000000000523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
ABSTRACT The summation of 20 years of biological studies and the comprehensive analysis of more than 1000 multiple myeloma genomes with data linked to clinical outcome has enabled an increased understanding of the pathogenesis of multiple myeloma in the context of normal plasma cell biology. This novel data have facilitated the identification of prognostic markers and targets suitable for therapeutic manipulation. The challenge moving forward is to translate this genetic and biological information into the clinic to improve patient care. This review discusses the key data required to achieve this and provides a framework within which to explore the use of response-adapted, biologically targeted, molecularly targeted, and risk-stratified therapeutic approaches to improve the management of patients with multiple myeloma.
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Kazandjian D, Hill E, Dew A, Morrison C, Roswarski J, Korde N, Emanuel M, Petrosyan A, Bhutani M, Calvo KR, Dulau-Florea A, Kwok M, Lee MJ, Lee S, Lindenberg L, Mailankody S, Manasanch E, Maric I, Mena E, Patel N, Tageja N, Trepel JB, Turkbey B, Wang HW, Wang W, Yuan C, Zhang Y, Braylan R, Choyke P, Stetler-Stevenson M, Steinberg SM, Figg WD, Roschewski M, Landgren O. Carfilzomib, Lenalidomide, and Dexamethasone Followed by Lenalidomide Maintenance for Prevention of Symptomatic Multiple Myeloma in Patients With High-risk Smoldering Myeloma: A Phase 2 Nonrandomized Controlled Trial. JAMA Oncol 2021; 7:1678-1685. [PMID: 34529025 DOI: 10.1001/jamaoncol.2021.3971] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance High-risk smoldering myeloma has a 5-year risk of progression to symptomatic multiple myeloma of approximately 75%. Treatment with lenalidomide decreases the risk of progression; however, novel triplet regimens are superior, and earlier disease may be more treatment sensitive. Objective To evaluate the use of carfilzomib, lenalidomide, and dexamethasone (KRd) with lenalidomide maintenance therapy as early intervention in high-risk smoldering myeloma and to determine the rates of minimal residual disease (MRD)-negative complete response (CR). Design, Setting, and Participants In this single-arm, single-center, phase 2 nonrandomized controlled trial, responses were evaluated at every cycle during KRd treatment and every 3 cycles subsequently. Bone marrow biopsies and imaging were performed by cycle 8 and then annually. The study enrolled patients from May 29, 2012, to July 23, 2020, at the National Institutes of Health Clinical Center, a highly specialized tertiary cancer center. Patient key eligibility criteria included a diagnosis of high-risk smoldering myeloma based on the Mayo Clinic, Spanish, and/or Rajkumar, Mateos, and Landgren criteria. Interventions Patients received eight 4-week cycles of intravenous carfilzomib 36 mg/m2 (first 2 doses, 20 mg/m2), dexamethasone (20 mg, cycles 1-4; 10 mg, cycles 5-8 twice weekly), and lenalidomide 25 mg (days 1-21) followed by twenty-four 28-day cycles of maintenance lenalidomide 10 mg (days 1-21). Stem cell harvest and storage were optional. Main Outcomes and Measures The primary outcome was the MRD-negative CR rate. Key secondary outcomes included duration of MRD-negative CR and progression to multiple myeloma. Results A total of 54 patients (median age, 59 years [range, 40-79 years]; 30 men [55.6%]; and 2 Asian [3.7%], 15 Black [27.8%], 1 Hispanic [1.9%], and 36 White [66.7%] patients) were enrolled, with a median potential follow-up time of 31.9 months (range, 6.7-102.9 months). The MRD-negative CR rate was 70.4% (95% CI, 56.4%-82.0%), with a median sustained duration of 5.5 years (95% CI, 3.7 years to not estimable). The 8-year probability of being free from progression to multiple myeloma was 91.2% (95% CI, 67.4%-97.9%), and no deaths occurred. Nonhematologic grade 3 adverse events occurred in 21 patients (38.9%) and included thromboembolism, rash, and lung infection, with no grade 4 events. Conclusions and Relevance Results of this phase 2 nonrandomized controlled trial suggest that treatment of high-risk smoldering myeloma with novel triplet regimens, such as KRd and lenalidomide maintenance therapy, may alter the natural history of smoldering myeloma by significantly delaying development of end-organ disease. Randomized clinical trials are needed to confirm this favorable benefit-to-risk profile. Trial Registration ClinicalTrials.gov Identifier: NCT01572480.
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Affiliation(s)
- Dickran Kazandjian
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Multiple Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Elizabeth Hill
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Alexander Dew
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Hematology-Oncology Department, John P. Murtha Cancer Center, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Candis Morrison
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Joseph Roswarski
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Hematology-Oncology Department, John P. Murtha Cancer Center, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Neha Korde
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael Emanuel
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Ani Petrosyan
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Manisha Bhutani
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Levine Cancer Institute, Charlotte, North Carolina
| | - Katherine R Calvo
- Hematology Service, Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland
| | - Alina Dulau-Florea
- Hematology Service, Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland
| | - Mary Kwok
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Division of Hematology, University of Washington, Seattle
| | - Min-Jung Lee
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sunmin Lee
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Liza Lindenberg
- Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sham Mailankody
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Elisabet Manasanch
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Department of Lymphoma and Myeloma, MD Anderson Cancer Center, Houston, Texas
| | - Irina Maric
- Hematology Service, Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland
| | - Esther Mena
- Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Nisha Patel
- Hematology Service, Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland
| | - Nishant Tageja
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Jane B Trepel
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Baris Turkbey
- Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Hao-Wei Wang
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Weixin Wang
- Hematology Service, Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland
| | - Constance Yuan
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Yong Zhang
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Raul Braylan
- Hematology Service, Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland
| | - Peter Choyke
- Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Maryalice Stetler-Stevenson
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Seth M Steinberg
- Biostatistics & Data Management Section, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - William D Figg
- Molecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Mark Roschewski
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Ola Landgren
- Multiple Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Multiple Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
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