1
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Rees MJ, Kumar S. High-risk multiple myeloma: Redefining genetic, clinical, and functional high-risk disease in the era of molecular medicine and immunotherapy. Am J Hematol 2024; 99:1560-1575. [PMID: 38613829 DOI: 10.1002/ajh.27327] [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: 03/06/2024] [Revised: 03/22/2024] [Accepted: 04/02/2024] [Indexed: 04/15/2024]
Abstract
Multiple myeloma (MM) exhibits significant heterogeneity in its presentation, genetics, and treatment response. Despite therapeutic advances, some patients continue to relapse early (ER, <18-months) and rapidly cycle through therapies. Myriad prognostic factors have been identified and incorporated into risk stratification models; however, these produce discordant, often three-tiered outputs that fail to identify many patients destined for ER. Treatment strategies are increasingly focused on disease biology and trials enriched for high-risk (HR)MM, but consensus on the minimum required testing and a succinct, specific, and clinically meaningful definition for HRMM remains elusive. We review the risk-factors, definitions, and future directions for HRMM.
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Affiliation(s)
- Matthew J Rees
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | - Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
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2
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Kaiser M, Pratt G, Bygrave C, Bowles K, Stern S, Jenner M. Diagnosis and initial treatment of transplant-eligible high-risk myeloma patients: A British Society for Haematology/UK Myeloma Society Good Practice Paper. Br J Haematol 2024. [PMID: 38952046 DOI: 10.1111/bjh.19623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 06/20/2024] [Indexed: 07/03/2024]
Abstract
This Good Practice Paper provides recommendations for the diagnosis and initial management of transplant-eligible high-risk myeloma patients. It describes recent updates to the genetic diagnostics of high-risk myeloma and provides recommendations for treatment on the basis of recent prospective clinical trial evidence.
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Affiliation(s)
- Martin Kaiser
- Department of Haematology, The Royal Marsden Hospital, London, UK
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Guy Pratt
- Department of Haematology, Queen Elizabeth Hospital, University of Birmingham, Birmingham, UK
| | - Ceri Bygrave
- Department of Haematology, University Hospital of Wales, Cardiff, UK
| | - Kristian Bowles
- Department of Haematology, Norfolk and Norwich University Hospital, Norwich, UK
| | - Simon Stern
- Department of Haematology, Epsom and St Helier University Hospitals NHS Trust, Carshalton, UK
| | - Matthew Jenner
- Department of Haematology, University Hospital Southampton, Southampton, UK
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3
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Rees MJ, D'Agostino M, Leypoldt LB, Kumar S, Weisel KC, Gay F. Navigating High-Risk and Ultrahigh-Risk Multiple Myeloma: Challenges and Emerging Strategies. Am Soc Clin Oncol Educ Book 2024; 44:e433520. [PMID: 38772002 DOI: 10.1200/edbk_433520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2024]
Abstract
Despite significant improvement in the outcomes of patients with newly diagnosed multiple myeloma (NDMM) with novel therapies, there is still an underserved high-risk (HR) population that experiences early disease progression and death. With the median survival crossing 10 years, we defined ultrahigh-risk (uHR)MM as MM leading to death within 24-36 months of diagnosis and HRMM as MM leading to death within 36-60 months. Several features have emerged as markers of uHRMM: the co-occurrence of two or more high-risk cytogenetic abnormalities, extramedullary disease, plasma cell leukemia and a high-risk gene expression profiling signature. The heterogeneous risk definition across trials, the few trials available designed for HR patients, and the small HR subgroups in all-comers trials make it difficult to generate recommendations with high levels of evidence. Nevertheless, regardless of treatment administered, several studies consistently showed that achieving and maintaining measurable residual disease negativity is now considered the main factor able to mitigate the adverse prognosis related to baseline features. For fit patients with HR transplant-eligible (TE) NDMM, quadruplet induction/consolidation treatment with anti-CD38 monoclonal antibodies, immunomodulatory agents, proteasome inhibitors and dexamethasone, and autologous stem-cell transplant and maintenance with, if available, at least a doublet combination could be considered the option of choice. For non-TE NDMM, considering the recent data generated and carefully reviewing those upcoming, quadruplet treatment consisting of anti-CD38 monoclonal antibodies, immunomodulatory agents, proteasome inhibitors, and dexamethasone should also be considered. Future trials integrating BCMA-directed novel generation immunotherapies hold great potential for further advancing the treatment landscape in all NDMM patients with HR disease.
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Affiliation(s)
| | - Mattia D'Agostino
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, AOU Città della Salute e della Scienza, University of Torino, Torino, Italy
| | - Lisa B Leypoldt
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN
| | - Katja C Weisel
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Francesca Gay
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, AOU Città della Salute e della Scienza, University of Torino, Torino, Italy
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4
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Chen X, Varma G, Davies F, Morgan G. Approach to High-Risk Multiple Myeloma. Hematol Oncol Clin North Am 2024; 38:497-510. [PMID: 38195306 DOI: 10.1016/j.hoc.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Improving the outcome of high-risk myeloma (HRMM) is a key therapeutic aim for the next decade. To achieve this aim, it is necessary to understand in detail the genetic drivers underlying this clinical behavior and to target its biology therapeutically. Advances have already been made, with a focus on consensus guidance and the application of novel immunotherapeutic approaches. Cases of HRMM are likely to have impaired prognosis even with novel strategies. However, if disease eradication and minimal disease states are achieved, then cure may be possible.
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Affiliation(s)
- Xiaoyi Chen
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA
| | - Gaurav Varma
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA
| | - Faith Davies
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA
| | - Gareth Morgan
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA.
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Goldman-Mazur S, Visram A, Rajkumar SV, Kapoor P, Dispenzieri A, Lacy MQ, Gertz MA, Buadi FK, Hayman SR, Dingli D, Kourelis T, Gonsalves W, Warsame R, Muchtar E, Leung N, Kyle RA, Kumar SK. Predictors and Impact of Timing of Disease Progression Following Primary Therapy in Multiple Myeloma. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2024; 24:e104-e111.e1. [PMID: 38135634 DOI: 10.1016/j.clml.2023.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 11/23/2023] [Indexed: 12/24/2023]
Abstract
In multiple myeloma (MM) significant variation in progression-free survival (PFS) and overall survival (OS) is observed. We examined the outcomes of 1557 MM patients stratified into short (<2 years), medium (between 2 and 5 years) and long (>5 years) PFS. Short PFS occurred in 758 patients (48.7%), medium in 561 patients (36.2%), and long in 238 patients (15.3%). Median post-progression PFS was 9.2 months (95% CI: 8.1-11.0) in the short PFS and 33.1 months (95% CI: 29.0-42.1; P < .001) in the long PFS group. Median post-progression OS was 26.6 months (95% CI: 23.9-29.8) in the short PFS and 87.8 months (95% CI: 71.3- NR; P < .001) in the long PFS. Worse survival in the short PFS was irrespective of high risk (HR) fluorescence in situ hybridization (FISH) features, defined as deletion 17p and/or translocation t(4;14), t(14;16), t(14;20). In a multivariable analysis short PFS was associated with HR FISH, extramedullary plasmacytoma, plasma cell labeling index ≥2% at diagnosis, nonimmunoglobulin G isotype, treatment without autologous stem cell transplantation and achieving less than very good partial remission. In conclusion, the duration of the PFS significantly influences survival, regardless of HR cytogenetic features. Therefore, it should be considered an important parameter for risk stratification in patients experiencing a relapse.
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Affiliation(s)
| | - Alissa Visram
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN; Division of Hematology, Ottawa Hospital Research Institute, Ontario, Canada
| | | | - Prashant Kapoor
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN
| | | | - Martha Q Lacy
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN
| | - Morie A Gertz
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN
| | - Francis K Buadi
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN
| | | | - David Dingli
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN
| | | | | | - Rahma Warsame
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN
| | - Eli Muchtar
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN
| | - Nelson Leung
- Division of Nephrology, Mayo Clinic Rochester, Rochester, MN
| | - Robert A Kyle
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN
| | - Shaji K Kumar
- Division of Hematology, Mayo Clinic Rochester, Rochester, MN.
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Yan W, Xu J, Fan H, Li L, Cui J, Du C, Deng S, Sui W, Xu Y, Hao M, Anderson KC, Zou D, Qiu L, An G. Early relapse within 18 months is a powerful dynamic predictor for prognosis and could revise static risk distribution in multiple myeloma. Cancer 2024; 130:421-432. [PMID: 37846845 DOI: 10.1002/cncr.35056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/04/2023] [Accepted: 09/11/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND The duration of response to treatment is a major prognostic factor, and early relapse (ER) strongly predicts inferior survival in multiple myeloma (MM). However, the definitions of ER in MM vary from study to study and how to dynamically integrate risk distribution is still unsolved. METHODS This study evaluated these ER definitions and further investigated the underlying relationship with static risk distribution in 629 newly diagnosed MM (NDMM) patients from the National Longitudinal Cohort of Hematological Diseases in China (NCT04645199). RESULTS These data indicated that early relapse within 18 months (ER18) after initial treatment was the best time point for identifying early progression and dynamic high-risk in MM. The ER18 population (114 of 587, 19.4%) presented with more aggressive biologic features and the inferior response to treatment compared to a reference cohort (p < .001), with a significantly short median overall survival (OS) of 28.9 months. Multivariate analyses confirmed the most significant prognostic value of ER18 on OS in the context of International Staging System stage, elevated lactate dehydrogenase, thrombocytopenia, cytogenetic abnormalities, and treatment (hazard ratio, 4.467; p < .001). The authors also described the specific transitions from static risk profile to dynamic risk distribution and then constructed a mixed-risk-pattern to identify four novel populations with distinct survival (p < .001). Additionally, the authors proposed a second-state model that predicts dynamic risk changes, enabling a complementary role to the Revised International Staging System model in facilitating individualized systematic treatment. CONCLUSIONS Collectively, this study concludes that ER18 is a simple and dynamic prognostic predictor in MM. In addition to static risk assessment, dynamic risk plays an important role in survival prediction.
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Affiliation(s)
- Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Huishou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jian Cui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Kenneth C Anderson
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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Gay F. A rational approach to functional high-risk myeloma. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2023; 2023:433-442. [PMID: 38066896 PMCID: PMC10727111 DOI: 10.1182/hematology.2023000443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Multiple myeloma is a clinically and biologically highly heterogeneous disease, as the overall survival can vary from more than a decade in patients with standard risk disease treated with intensive chemotherapy to 2-3 years in patients with high-risk features. The current staging systems, which rely on baseline biological risk factors to stratify patients into groups with differing risks of progression or death, are sometimes suboptimal tools for identifying high-risk patients. This is particularly evident when considering the so-called functional high-risk patients-patients who do not necessarily display baseline high-risk features but typically show a suboptimal response to induction therapy or relapse early after treatment initiation: the survival of these patients is particularly poor even in the context of newer therapies. The prompt identification, as well as a consistent definition, of this subset of patients, as well as their management, currently represents an unmet medical need. In this review we explore the main characteristics of functional high-risk patients, the available known risk factors and scoring systems, and the possible management.
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Affiliation(s)
- Francesca Gay
- Division of Hematology 1, Clinical Trial Unit, AOU Città della Salute e della Scienza, Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
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Fan H, Yan W, Li L, Xu J, Liu J, Xu Y, Sui W, Deng S, Du C, Yi S, Zou D, Qiu L, An G. The prognostic utility of dynamic risk stratification at disease progression in patients with multiple myeloma. Hematology 2023; 28:2182156. [PMID: 36815749 DOI: 10.1080/16078454.2023.2182156] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
OBJECTIVES There may be a shift in risk stratification at progression compared to that at diagnosis in patients with multiple myeloma (MM). We aimed to evaluate whether re-staging and stage migration is of prognostic impact. METHODS Real-world data from the National Longitudinal Cohort of Hematologic Diseases-multiple myeloma were collected; 263 consecutive patients demonstrating disease progression were finally included. Staging at diagnosis and re-staging at progression were performed using the International Staging System (ISS) and Revised International Staging System (RISS). RESULTS Based on ISS re-staging, the median post-progression survival (mPPS) of patients with stage I, II, and III was 44.2, 21.7, and 11.6 months, respectively (P < 0.0001). Based on RISS re-staging, the mPPS of patients with stage I, II, and III was 50.3, 22.2, and 11.4 months, respectively (P < 0.0001). The mPPS in patients with improved, maintained, and deteriorated ISS stage migration from diagnosis was 33.6, 20.9, and 16 months, respectively (P = 0.0051) and that with improved, maintained, and deteriorated RISS stage migration was 48.4, 23.1, and 13.9 months, respectively (P < 0.001). Compared to patients with maintained or improved disease stage, those with deteriorated ISS/RISS migration showed significantly higher incidence of Del(17P) at progression and worse PPS. Multivariate analyses indicated both re-staging and stage migration by ISS/RISS at progression were independent predictors for PPS. CONCLUSIONS We demonstrated that ISS/RISS re-staging showed superior prognostic utility over ISS/RISS staging in predicting PPS. Patients with deteriorated stage migration or maintained advanced stage at progression may need more individualized treatment.
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Affiliation(s)
- Huihsou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Department of Hematology, The Affiliated Hospital of Qingdao University, Shandong, China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Jiahui Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
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9
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Banerjee R, Cicero KI, Lee SS, Cowan AJ. Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling. Front Oncol 2023; 13:1240966. [PMID: 37849816 PMCID: PMC10577204 DOI: 10.3389/fonc.2023.1240966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/18/2023] [Indexed: 10/19/2023] Open
Abstract
Traditional prognostic models for newly diagnosed patients with multiple myeloma (MM), including International Staging System criteria and number of high-risk chromosomal abnormalities, are based on disease characteristics at diagnosis. However, the identification of patients at risk of more rapidly progressive MM is inherently a dynamic assessment. In a subset of patients with MM, adverse disease biology only becomes evident after the failure of first-line therapy. We define this entity as functional high-risk MM (FHRMM), encompassing relapse within 18 months of treatment initiation and/or within 12 months of frontline autologous stem cell transplantation. FHRMM is not adequately captured by traditional prognostic models, and there is a need for better understanding of mechanisms or risk factors for early relapse or progression. In this review, we explore potential definitions of FHRMM before delving into its underlying drivers based on genetic, transcriptomic, and immune cell profiling studies. Emerging data suggest that specific features of both myeloma cells and immune cells can enable the FHRMM phenotype. We conclude our review by discussing ongoing and future studies that seek to identify and intervene upon patients with FHRMM preemptively.
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Affiliation(s)
- Rahul Banerjee
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA, United States
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Kara I. Cicero
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA, United States
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Sarah S. Lee
- Division of Myeloma, Department of Hematology & Hematopoietic Cell Transplantation, City of Hope, CA, United States
| | - Andrew J. Cowan
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA, United States
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
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10
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Kaiser MF, Hall A, Walker K, Sherborne A, De Tute RM, Newnham N, Roberts S, Ingleson E, Bowles K, Garg M, Lokare A, Messiou C, Houlston RS, Jackson G, Cook G, Pratt G, Owen RG, Drayson MT, Brown SR, Jenner MW. Daratumumab, Cyclophosphamide, Bortezomib, Lenalidomide, and Dexamethasone as Induction and Extended Consolidation Improves Outcome in Ultra-High-Risk Multiple Myeloma. J Clin Oncol 2023; 41:3945-3955. [PMID: 37315268 DOI: 10.1200/jco.22.02567] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 04/05/2023] [Accepted: 05/02/2023] [Indexed: 06/16/2023] Open
Abstract
PURPOSE The multicenter OPTIMUM (MUKnine) phase II trial investigated daratumumab, low-dose cyclophosphamide, lenalidomide, bortezomib, and dexamethasone (Dara-CVRd) before and after autologous stem-cell transplant (ASCT) in newly diagnosed patients with molecularly defined ultra-high-risk (UHiR) multiple myeloma (NDMM) or plasma cell leukemia (PCL). To provide clinical context, progression-free survival (PFS) and overall survival (OS) were referenced to contemporaneous outcomes seen in patients with UHiR NDMM treated in the recent Myeloma XI (MyeXI) trial. METHODS Transplant-eligible all-comers NDMM patients were profiled for UHiR disease, defined by presence of ≥2 genetic risk markers t(4;14)/t(14;16)/t(14;20), del(1p), gain(1q), and del(17p), and/or SKY92 gene expression risk signature. Patients with UHiR MM/PCL were offered treatment with Dara-CVRd induction, V-augmented ASCT, extended Dara-VR(d) consolidation, and Dara-R maintenance. UHiR patients treated in MyeXI with carfilzomib, lenalidomide, dexamethasone, and cyclophosphamide, or lenalidomide, dexamethasone, and cyclophosphamide, ASCT, and R maintenance or observation were identified by mirrored molecular screening. OPTIMUM PFS at 18 months (PFS18m) was compared against MyeXI using a Bayesian framework, and patients were followed up to the end of consolidation for PFS and OS. RESULTS Of 412 screened NDMM OPTIMUM patients, 103 were identified as UHiR or PCL and subsequently treated on trial with Dara-CVRd; 117 MyeXI patients identified as UHiR formed the external comparator arm, with comparable clinical and molecular characteristics to OPTIMUM. Comparison of PFS18m per Bayesian framework resulted in a 99.5% chance of OPTIMUM being superior to MyeXI. At 30 months' follow-up, PFS was 77% for OPTIMUM versus 39.8% for MyeXI, and OS 83.5% versus 73.5%, respectively. Extended post-ASCT Dara-VRd consolidation therapy was highly deliverable, with limited toxicity. CONCLUSION Our results suggest that Dara-CVRd induction and extended post-ASCT Dara-VRd consolidation markedly improve PFS for UHiR NDMM patients over conventional management, supporting further evaluation of this strategy.
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Affiliation(s)
- Martin F Kaiser
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Andrew Hall
- Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Katrina Walker
- Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Amy Sherborne
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Ruth M De Tute
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
| | - Nicola Newnham
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Sadie Roberts
- Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Emma Ingleson
- Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Kristian Bowles
- Department of Haematology, Norfolk and Norwich University Hospitals NHS Trust, Norwich, United Kingdom
| | - Mamta Garg
- Department of Haematology, Leicester Royal Infirmary, Leicester, United Kingdom
| | - Anand Lokare
- Department of Haematology, Birmingham Heartlands, Birmingham, United Kingdom
| | - Christina Messiou
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Graham Jackson
- Department of Haematology, Newcastle University, Newcastle, United Kingdom
| | - Gordon Cook
- Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
- Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
| | - Guy Pratt
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Roger G Owen
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
| | - Mark T Drayson
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Sarah R Brown
- Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Matthew W Jenner
- Department of Haematology, University Hospital Southampton, Southampton, United Kingdom
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11
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Beksac M, Iacobelli S, Koster L, Cornelissen J, Griskevicius L, Rabin NK, Stoppa AM, Meijer E, Mear JB, Zeerleder S, Mayer J, Fenk R, Fegueux N, Chevallier P, Konirova E, Snowden JA, Engelhardt M, Orchard K, Hulin C, Schaap N, Sossa C, Elmaagacli A, McLornan DP, Hayden PJ, Schönland S, Yakoub-Agha I. An early post-transplant relapse prediction score in multiple myeloma: a large cohort study from the chronic malignancies working party of EBMT. Bone Marrow Transplant 2023; 58:916-923. [PMID: 37160942 DOI: 10.1038/s41409-023-01999-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 04/17/2023] [Accepted: 04/21/2023] [Indexed: 05/11/2023]
Abstract
Early relapse (ER) following Autologous Hematopoietic Cell Transplantation (AHCT) confers a poor prognosis. We therefore developed a novel scoring system to predict ER. A total of 14,367 AHCT-1 patients were transplanted between 2014 and 2019, and were conditioned with Melphalan 200 mg/m2 (Mel200) (n = 7228; 2014-2017) (training cohort); Mel200 (n = 5616; 2018-2019) or Mel140 (n = 1523; 2018-2019) (validation cohorts). PFS-12 and the Cumulative Incidence of Relapse at 12 months were 84.1% and 14.7% (training Mel200), 87.2% and 11.6% (validation Mel200), and 80.3% and 16.9% (validation Mel140), respectively. The points in the risk score were: 0, 1,2 for ISS stages I, II, and III; Disease status: 0 (CR/VGPR); 1 (PR); 2 (SD/MR); 4 (Relapse/Progression); and 1 for Karnofsky ≤ 70. The distribution of scores: 0 (24%), 1 (33.9%), 2 (29.6 %), 3 (9.5%), and ≥4 (2.7%). The score separated PFS-12, with the lowest risk group (n = 1752) having a PFS-12 of 91.7% and the highest risk group (n = 195) 57.1%. This also applied in cytogenetically high-risk patients. If the pre-score baseline risks are 15% (standard risk) and 25% (high-risk), a score of ≥4 confers calculated risks of 38% and 54%, respectively. This novel EBMT ER score, therefore, allows for the identification of five discrete prognostic groups.
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Affiliation(s)
| | | | - Linda Koster
- European Society for Blood and Marrow Transplantation Leiden Study Unit, Leiden, the Netherlands
| | - Jan Cornelissen
- Erasmus University Medical Center-Daniel Den Hoed, Rotterdam, the Netherlands
| | | | - Neil K Rabin
- University College London Hospitals NHS Foundation Trust, London, UK
| | | | - Ellen Meijer
- VU University Medical Center, Amsterdam, the Netherlands
| | | | | | - Jiri Mayer
- University Hospital Brno, Brno, Czech Republic
| | - Roland Fenk
- University Hospital Duesseldorf, Dusseldorf, Germany
| | | | | | | | | | | | - Kim Orchard
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | | | - Nicolaas Schaap
- Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands
| | - Claudia Sossa
- Clinica FOSCAL, Floridablanca, Santander, Colombia
- Universidad Autónoma de Bucaramanga - UNAB, Bucaramanga, Santander, Colombia
| | | | | | - Patrick J Hayden
- Department of Haematology, School of Medicine, Trinity College Dublin, Dublin, Ireland
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12
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Dima D, Ullah F, Mazzoni S, Williams L, Faiman B, Kurkowski A, Chaulagain C, Raza S, Samaras C, Valent J, Khouri J, Anwer F. Management of Relapsed-Refractory Multiple Myeloma in the Era of Advanced Therapies: Evidence-Based Recommendations for Routine Clinical Practice. Cancers (Basel) 2023; 15:2160. [PMID: 37046821 PMCID: PMC10093129 DOI: 10.3390/cancers15072160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/27/2023] [Accepted: 03/29/2023] [Indexed: 04/14/2023] Open
Abstract
Multiple myeloma (MM) is the second most common hematologic malignancy in adults worldwide. Over the past few years, major therapeutic advances have improved progression-free and overall survival, as well as quality of life. Despite this recent progress, MM remains incurable in the vast majority of cases. Patients eventually relapse and become refractory to multiple drug classes, making long-term management challenging. In this review, we will focus on the treatment paradigm of relapsed/refractory MM (RRMM) in the era of advanced therapies emphasizing the available novel modalities that have recently been incorporated into routine practice, such as chimeric antigen receptor T-cell therapy, bispecific antibodies, and other promising approaches. We will also discuss major factors that influence the selection of appropriate drug combinations or cellular therapies, such as relapse characteristics, and other disease and patient related parameters. Our goal is to provide insight into the currently available and experimental therapies for RRMM in an effort to guide the therapeutic decision-making process.
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Affiliation(s)
- Danai Dima
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
| | - Fauzia Ullah
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
| | - Sandra Mazzoni
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
| | - Louis Williams
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
| | - Beth Faiman
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
| | - Austin Kurkowski
- Department of Pharmacy, Cleveland Clinic Foundation, Cleveland, OH 44195, USA
| | - Chakra Chaulagain
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Maroone Cancer Center, Weston, FL 33331, USA
| | - Shahzad Raza
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
| | - Christy Samaras
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
| | - Jason Valent
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
| | - Jack Khouri
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
| | - Faiz Anwer
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH 44106, USA
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13
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Wang YT, Chu B, Zhou TG, Lu MQ, Shi L, Gao S, Fang LJ, Xiang QQ, Zhao X, Wang MZ, Sun K, Bao L. Clinical and genomic characterization of Chinese patients with functional high-risk multiple myeloma: A real-world validation study. Front Oncol 2023; 13:1110693. [PMID: 36969050 PMCID: PMC10036342 DOI: 10.3389/fonc.2023.1110693] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/16/2023] [Indexed: 03/12/2023] Open
Abstract
ObjectivePrecise risk stratification is increasingly essential in the management of multiple myeloma (MM) as some standard-risk (SR) patients still exhibit similar poor outcomes as genetically high-risk (GHR) patients in the era of novel agents. It has recently been demonstrated that functional high-risk (FHR) patients, those with suboptimal response to first-line induction therapy or early relapse within 12 months, have identifiable molecular characteristics from the SR group in the CoMMpass dataset. However, these findings lack practical validation in the real world.MethodsMM cells purified by CD138 microbeads from newly diagnosed MM (NDMM) patients received fluorescence in situ hybridization and sequencing with a 92-gene Panel. Cytogenetic abnormalities defined GHR patients with t(4;14) or t(14;16) or complete loss of functional P53 or 1q21 gain and International Staging System (ISS) stage 3. SR group was patients who did not fulfill any criteria for GHR or FHR.ResultsThere were 145 patients with NDMM, 78 in the SR group, 56 in the GHR group, and 11 in the FHR group. In the FHR group, eight patients were suboptimal responses to induction therapy, and three relapsed within 12 months. We found that male patients, patients with extra-medullary plasmacytoma (EMD), circulating clonal plasma cells (CPC) ≥0.05%, and P53 mono-allelic inactivation were significantly higher in the FHR group compared to the SR group. After a median follow-up of 21.0 months, the median progression-free survival (PFS) and overall survival (OS) were 5.0 months, 19.1 months and 36.6 months in the FHR, GHR, and SR groups, respectively. Compared to the SR group, FHR patients had a higher frequency of mutations in MKI67, ERN1, and EML4. GO analysis showed that mutations in FHR were enriched for oxidative stress, chromosomal segregation, and hypoxia tolerance.ConclusionThe FHR found in the SR NDMM patient group has unique clinical features, including being male, with EMD and CPC, and genetic characteristics of mutations affecting oxidative stress, chromosome segregation, and hypoxia tolerance. In contrast to previous reports, our data suggested that patients with P53 mono-allelic inactivation should be classified in the GHR group rather than the FHR group.
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Affiliation(s)
- Yu-tong Wang
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Bin Chu
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Tian-guan Zhou
- Department of Hematology, Baise people’s Hospital, Baise, China
| | - Min-qiu Lu
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Lei Shi
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Shan Gao
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Li-juan Fang
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Qiu-qing Xiang
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Xin- Zhao
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Meng-zhen Wang
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Kai Sun
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
| | - Li Bao
- Department of Hematology, Beijing JiShuiTan Hospital, The Fourth Clinical Medical College of Peking University, Beijing, China
- *Correspondence: Li Bao,
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14
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Li S, Zhang E, Cai Z. Liquid biopsy by analysis of circulating myeloma cells and cell-free nucleic acids: a novel noninvasive approach of disease evaluation in multiple myeloma. Biomark Res 2023; 11:27. [PMID: 36890597 PMCID: PMC9997021 DOI: 10.1186/s40364-023-00469-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/26/2023] [Indexed: 03/10/2023] Open
Abstract
Multiple myeloma (MM) is an incurable hematological cancer with high spatial- and temporal-heterogeneity. Invasive single-point bone marrow sampling cannot capture the tumor heterogeneity and is difficult to repeat for serial assessments. Liquid biopsy is a technique for identifying and analyzing circulating MM cells and cell products produced by tumors and released into the circulation, allowing for the minimally invasive and comprehensive detection of disease burden and molecular alterations in MM and monitoring treatment response and disease progression. Furthermore, liquid biopsy can provide complementary information to conventional detection approaches and improve their prognostic values. This article reviewed the technologies and applications of liquid biopsy in MM.
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Affiliation(s)
- Shuchan Li
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qingchun Road, Hangzhou, Zhejiang, China.,Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Enfan Zhang
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qingchun Road, Hangzhou, Zhejiang, China.,Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhen Cai
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qingchun Road, Hangzhou, Zhejiang, China. .,Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang, China.
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15
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Slade M, Fiala M, Kelley S, Crees ZD, Schroeder MA, Stockerl-Goldstein K, Vij R. Evaluation of the Simplified Score to Predict Early Relapse in Multiple Myeloma (S-ERMM) in the MMRF CoMMpass study. Leuk Res 2023; 127:107037. [PMID: 36801522 DOI: 10.1016/j.leukres.2023.107037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/20/2023] [Accepted: 02/09/2023] [Indexed: 02/13/2023]
Abstract
BACKGROUND Zaccaria and colleagues recently proposed a new risk score to identify patients at high risk for relapse within 18 months of diagnosis (ER18), the Score for Early Relapse in Multiple Myeloma (S-ERMM). We performed external validation of the S-ERMM using data from the CoMMpass study. PATIENTS AND METHODS Clinical data was obtained from the CoMMpass study. Patients were assigned S-ERMM risk scores and risk categories by the three iterations of the International Staging System (ISS): ISS, R-ISS and R2-ISS. Patients with missing data or early mortality in remission were excluded. Our primary endpoint was the relative predictive ability of the S-ERMM versus other risk scores for ER18 as assessed by area-under-the-curve (AUC). RESULTS 476 patients had adequate data to assign all four risk scores. 65%, 25% and 10% were low, intermediate and high risk by S-ERMM. 17% experienced ER18. All four risk scores stratified patients by risk for ER18. S-ERMM (AUC: 0.59 [95% CI 0.53-0.65]) was similar to R-ISS (0.63 [95% CI 0.58-0.69]) and statistically inferior to ISS (0.68 [95% CI 0.62-0.75]) and R2-ISS (0.66 [95% CI 0.61-0.72]) for prediction of ER18. Sensitivity analyses were performed and did not significantly impact results. CONCLUSION The S-ERMM risk score is not superior to existing risk stratification systems for predicting early relapse in NDMM and further studies are needed to identify the optimal approach.
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Affiliation(s)
- Michael Slade
- Washington University School of Medicine, St. Louis, MO, USA.
| | - Mark Fiala
- Washington University School of Medicine, St. Louis, MO, USA
| | - Sarah Kelley
- Washington University School of Medicine, St. Louis, MO, USA
| | - Zachary D Crees
- Washington University School of Medicine, St. Louis, MO, USA
| | | | | | - Ravi Vij
- Washington University School of Medicine, St. Louis, MO, USA
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16
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Panopoulou A, Easdale S, Ethell M, Nicholson E, Potter M, Giotas A, Woods H, Thornton T, Pawlyn C, Boyd KD, Kaiser MF. Impact of Ultra High-risk Genetics on Real-world Outcomes of Transplant-eligible Multiple Myeloma Patients. Hemasphere 2023; 7:e831. [PMID: 36751511 PMCID: PMC9894354 DOI: 10.1097/hs9.0000000000000831] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 12/19/2022] [Indexed: 01/28/2023] Open
Abstract
Refined prediction of early relapse following standard-of-care (SoC) autologous stem cell transplant (ASCT) in newly diagnosed multiple myeloma (NDMM) could inform real-world risk-stratified post-ASCT strategies. We investigated the impact of double hit genetics (≥2 adverse markers: t(4;14), t(14;16), t(14;20), gain(1q), del(17p)) on outcome in 139 NDMM patients who underwent SoC ASCT between January 2014 and October 2019 at our center. Double hit genetics were associated with a significantly shortened progression-free survival (hazard ratio [HR] = 4.27, P < 0.001) and overall survival (HR = 4.01, P = 0.03), and characterized most early relapses. Our results support the real-world utility of extended genetic profiling for improved risk prediction in NDMM.
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Affiliation(s)
- Aikaterini Panopoulou
- Myeloma Molecular Therapy Group, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Sandra Easdale
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Mark Ethell
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Emma Nicholson
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Mike Potter
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Asterios Giotas
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Helena Woods
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Tracy Thornton
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Charlotte Pawlyn
- Myeloma Molecular Therapy Group, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Kevin D. Boyd
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Martin F. Kaiser
- Myeloma Molecular Therapy Group, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
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17
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Davies FE, Pawlyn C, Usmani SZ, San-Miguel JF, Einsele H, Boyle EM, Corre J, Auclair D, Cho HJ, Lonial S, Sonneveld P, Stewart AK, Bergsagel PL, Kaiser MF, Weisel K, Keats JJ, Mikhael JR, Morgan KE, Ghobrial IM, Orlowski RZ, Landgren CO, Gay F, Caers J, Chng WJ, Chari A, Walker BA, Kumar SK, Costa LJ, Anderson KC, Morgan GJ. Perspectives on the Risk-Stratified Treatment of Multiple Myeloma. Blood Cancer Discov 2022; 3:273-284. [PMID: 35653112 PMCID: PMC9894570 DOI: 10.1158/2643-3230.bcd-21-0205] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The multiple myeloma treatment landscape has changed dramatically. This change, paralleled by an increase in scientific knowledge, has resulted in significant improvement in survival. However, heterogeneity remains in clinical outcomes, with a proportion of patients not benefiting from current approaches and continuing to have a poor prognosis. A significant proportion of the variability in outcome can be predicted on the basis of clinical and biochemical parameters and tumor-acquired genetic variants, allowing for risk stratification and a more personalized approach to therapy. This article discusses the principles that can enable the rational and effective development of therapeutic approaches for high-risk multiple myeloma.
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Affiliation(s)
| | - Charlotte Pawlyn
- Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom
- The Royal Marsden Hospital, Department of Haematology, London, United Kingdom
| | - Saad Z. Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Hermann Einsele
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | | | - Jill Corre
- Unité de Génomique du Myélome, Institut Universitaire du Cancer, Toulouse France. Institut National de la Santé et de la Recherche Médicale, Paris, France
| | - Daniel Auclair
- The Multiple Myeloma Research Foundation, Norwalk, Connecticut
| | - Hearn Jay Cho
- The Multiple Myeloma Research Foundation, Norwalk, Connecticut
- Multiple Myeloma Center of Excellence, Icahn School of Medicine at Mt. Sinai, New York, New York
| | - Sagar Lonial
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Pieter Sonneveld
- Erasmus MC Cancer Institute, Department of Hematology, Rotterdam, the Netherlands
| | - A. Keith Stewart
- University Health Network and the Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | | | - Martin F. Kaiser
- The Royal Marsden Hospital, Department of Haematology, London, United Kingdom
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Katja Weisel
- Department of Oncology, Hematology and Bone Marrow Transplantation with Section of Pneumology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jonathan J. Keats
- Integrated Cancer Genomics, Translational Genomics Research Institute, Phoenix, Arizona
| | - Joseph R. Mikhael
- Translational Genomics Research Institute, City of Hope Cancer Center, Phoenix, Arizona
| | | | - Irene M. Ghobrial
- Department of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Robert Z. Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - C. Ola Landgren
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Francesca Gay
- Division of Hematology, University of Torino, Torino, Italy
| | - Joseph Caers
- Department of Hematology, Centre Hospitalier Universitaire (CHU) de Liège, Liège, Belgium
| | - Wee Joo Chng
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University, Indianapolis, Indiana
- Department of Hematology, Mayo Clinic, Rochester, Minnesota
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Ajai Chari
- Multiple Myeloma Center of Excellence, Icahn School of Medicine at Mt. Sinai, New York, New York
| | - Brian A. Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University, Indianapolis, Indiana
| | - Shaji K. Kumar
- Department of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Luciano J. Costa
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Kenneth C. Anderson
- Department of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
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18
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Bertamini L, Oliva S, Rota-Scalabrini D, Paris L, Morè S, Corradini P, Ledda A, Gentile M, De Sabbata G, Pietrantuono G, Pascarella A, Tosi P, Curci P, Gilestro M, Capra A, Galieni P, Pisani F, Annibali O, Monaco F, Liberati AM, Palmieri S, Luppi M, Zambello R, Fazio F, Belotti A, Tacchetti P, Musto P, Boccadoro M, Gay F. High Levels of Circulating Tumor Plasma Cells as a Key Hallmark of Aggressive Disease in Transplant-Eligible Patients With Newly Diagnosed Multiple Myeloma. J Clin Oncol 2022; 40:3120-3131. [PMID: 35666982 DOI: 10.1200/jco.21.01393] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
PURPOSE High levels of circulating tumor plasma cells (CTC-high) in patients with multiple myeloma are a marker of aggressive disease. We aimed to confirm the prognostic impact and identify a possible cutoff value of CTC-high for the prediction of progression-free survival (PFS) and overall survival (OS), in the context of concomitant risk features and minimal residual disease (MRD) achievement. METHODS CTC were analyzed at diagnosis with two-tube single-platform flow cytometry (sensitivity 4 × 10-5) in patients enrolled in the multicenter randomized FORTE clinical trial (ClinicalTrials.gov identifier: NCT02203643). MRD was assessed by second-generation multiparameter flow cytometry (sensitivity 10-5). We tested different cutoff values in series of multivariate (MV) Cox proportional hazards regression analyses on PFS outcome and selected the value that maximized the Harrell's C-statistic. We analyzed the impact of CTC on PFS and OS in a MV analysis including baseline features and MRD negativity. RESULTS CTC analysis was performed in 401 patients; the median follow-up was 50 months (interquartile range, 45-54 months). There was a modest correlation between the percentage of CTC and bone marrow plasma cells (r = 0.38). We identified an optimal CTC cutoff of 0.07% (approximately 5 cells/µL, C-index 0.64). In MV analysis, CTC-high versus CTC-low patients had significantly shorter PFS (hazard ratio, 2.61; 95% CI, 1.49 to 2.97, P < .001; 4-year PFS 38% v 69%) and OS (hazard ratio, 2.61; 95% CI, 1.49 to 4.56; P < .001; 4-year OS 68% v 92%). The CTC levels, but not the bone marrow plasma cell levels, affected the outcome. The only factor that reduced the negative impact of CTC-high was the achievement of MRD negativity (interaction P = .039). CONCLUSION In multiple myeloma, increasing levels of CTC above an optimal cutoff represent an easy-to-assess, robust, and independent high-risk factor. The achievement of MRD negativity is the most important factor that modulates their negative prognostic impact.
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Affiliation(s)
- Luca Bertamini
- 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
| | - Stefania Oliva
- 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
| | - Delia Rota-Scalabrini
- Multidisciplinary Oncology Outpatient Clinic, Candiolo Cancer Institute, FPO - IRCCS, Torino, Italy
| | - Laura Paris
- Division of Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Sonia Morè
- Clinica di Ematologia, AOU Ospedali Riuniti di Ancona, Ancona, Italy
| | - Paolo Corradini
- Hematology and Bone Marrow Transplant Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, University of Milan, Milan, Italy
| | - Antonio Ledda
- Ematologia/CTMO, Ospedale "A. Businco," Cagliari, Italy
| | | | - Giovanni De Sabbata
- Ematologia, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy
| | - Giuseppe Pietrantuono
- Hematology and Stem Cell Transplantation Unit, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | | | | | - Paola Curci
- Unit of Hematology and Stem Cell Transplantation, AOUC Policlinico, Bari, Italy
| | - Milena Gilestro
- 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
| | - Andrea Capra
- 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
| | - Piero Galieni
- UOC Ematologia e Terapia cellulare, Ospedale C. e G. Mazzoni, Ascoli Piceno, Italy
| | - Francesco Pisani
- Hematology and Stem Cell Transplant Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Ombretta Annibali
- Unit of Hematology, Stem Cell Transplantation, University Campus Bio-Medico, Rome, Italy
| | - Federico Monaco
- SC Ematologia, Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | - Anna Marina Liberati
- Università degli Studi di Perugia, Azienda Ospedaliera Santa Maria, Terni, Italy
| | | | - Mario Luppi
- Dipartimento di Scienze Mediche e Chirurgiche Materno Infantili e dell'Adulto, UNIMORE, UOC Ematologia, Azienda Ospedaliero-Universitaria di Modena, Modena, Italy
| | - Renato Zambello
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padova University School of Medicine, Padova, Italy
| | - Francesca Fazio
- Hematology, Department of Translational and Precision Medicine, Azienda Ospedaliera Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Angelo Belotti
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Paola Tacchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli," Bologna, Italy
| | - Pellegrino Musto
- Unit of Hematology and Stem Cell Transplantation, AOUC Policlinico, Bari, Italy.,Department of Emergency and Organ Transplantation, "Aldo Moro" University School of Medicine, Bari, Italy
| | - Mario Boccadoro
- 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
| | - Francesca Gay
- 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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19
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Cerchione C, Usmani SZ, Stewart AK, Kaiser M, Rasche L, Kortüm M, Mateos MV, Spencer A, Sonneveld P, Anderson KC. Gene Expression Profiling in Multiple Myeloma: Redefining the Paradigm of Risk-Adapted Treatment. Front Oncol 2022; 12:820768. [PMID: 35211412 PMCID: PMC8861274 DOI: 10.3389/fonc.2022.820768] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/14/2022] [Indexed: 12/31/2022] Open
Abstract
Multiple myeloma is a blood cancer characterized by clonal proliferation of plasma cells in the bone marrow. In recent years, several new drugs have been added to the therapeutic landscape of multiple myeloma, which have contributed to increased survival rates. However, while the use of therapeutics has evolved, there is still a group of high-risk patients who do not benefit from current treatment strategies. Risk stratification and risk-adapted treatment are crucial to identify the group of patients with urgent need for novel therapies. Gene expression profiling has been introduced as a tool for risk stratification in multiple myeloma based on the genetic make-up of myeloma cells. In this review we discuss the challenge of defining the high-risk multiple myeloma patient. We focus on the standardized analysis of myeloma cancer cells by gene expression profiling and describe how gene expression profiling provides additional insights for optimal risk-adapted treatment of patients suffering from multiple myeloma.
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Affiliation(s)
- Claudio Cerchione
- Hematology Unit, IRCCS Istituto Scientifico Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Saad Z. Usmani
- Division of Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - A. Keith Stewart
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, London, United Kingdom
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Leo Rasche
- Department of Internal Medicine II, University Hospital of Würzburg, Würzburg, Germany
| | - Martin Kortüm
- Department of Internal Medicine II, University Hospital of Würzburg, Würzburg, Germany
| | | | - Andrew Spencer
- Malignant Haematology and Stem Cell Transplantation Service, Alfred Hospital-Monash University, Melbourne, Australia
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute Rotterdam, Rotterdam, Netherlands
| | - Kenneth C. Anderson
- Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
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20
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Yan ZL, Wang YW, Chang YJ. Cellular Immunotherapies for Multiple Myeloma: Current Status, Challenges, and Future Directions. Oncol Ther 2022; 10:85-103. [PMID: 35103936 PMCID: PMC9098731 DOI: 10.1007/s40487-022-00186-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 01/20/2022] [Indexed: 11/25/2022] Open
Abstract
Multiple myeloma (MM) remains incurable due to relapse, although the use of proteasome inhibitors, immunomodulatory drugs, CD38-targeting antibodies, and autologous stem cell transplantation (auto-SCT) significantly improve the clinical outcomes of patients with newly diagnosed MM. In recent years, the introduction of chimeric antigen receptor T-cell (CAR T-cell) therapy has brought hope to patients with refractory and relapsed MM. The graft-versus-myeloma effect of allogeneic SCT provides the possibility for curing a subset of MM patients. In this review, we summarize the recent advances and challenges of cellular immunotherapies for MM, focusing on auto-SCT, allogeneic SCT, and CAR T-cell approaches. We also discuss future directions, and propose a specific algorithm for cellular therapies for MM and probability of minimal residual disease-directed therapy.
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Affiliation(s)
- Zhi-Ling Yan
- Deparment of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yue-Wen Wang
- Peking University People's Hospital & Peking University Institute of Hematology, No 11 Xizhimen South Street, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
- Collaborative Innovation Center of Hematology, Peking University, Beijing, People's Republic of China
| | - Ying-Jun Chang
- Peking University People's Hospital & Peking University Institute of Hematology, No 11 Xizhimen South Street, Beijing, 100044, China.
- National Clinical Research Center for Hematologic Disease, Beijing, China.
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China.
- Collaborative Innovation Center of Hematology, Peking University, Beijing, People's Republic of China.
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21
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How I Treat High-risk Multiple Myeloma. Blood 2021; 139:2889-2903. [PMID: 34727187 DOI: 10.1182/blood.2020008733] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 10/26/2021] [Indexed: 11/20/2022] Open
Abstract
Survival of multiple myeloma (MM) has significantly improved over the last decade; however, a composed group of patients (15-20%), named high-risk (HR) MM, still experience reduced survival. Both tumor biology and suboptimal/absent responses to therapy may underlie HR definition and a clear uniform identification of risk factors is crucial for a proper management of these patients. In biologic-HRMM, MRD negativity attainment and sustain, inside and outside BM, should be the primary goal and therapy should be adapted in patients with frailty to reduce toxicity and improve quality of life. MM treatment has traditionally been tailored on age and more recently frailty or comorbidities, but very rarely on the biology of the disease, mainly because of the lack of a clear benefit derived from a specific drug/combination, inhomogeneity in HR definition and lack of data coming from prospective, properly designed clinical trials. Some attempts have been successfully made recently in this direction. In this review, we are discussing the current different definitions of HR and the need for a consensus, the results of available trials in HR patients and the way through risk-adapted treatment strategies. For this purpose, we are proposing several clinical cases of difficult-to-treat patients throughout different treatment phases.
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22
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Mai EK, Schmitt T, Radujkovic A, König L, Goldschmidt H, Ho AD, Luft T, Müller-Tidow C, Dreger P, Hegenbart U, Schönland SO. Submyeloablative total body irradiation-based conditioning and allogeneic stem cell transplantation in high-risk myeloma with early progression after up-front autologous transplantation. Br J Haematol 2021; 196:244-248. [PMID: 34431093 DOI: 10.1111/bjh.17779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Elias K Mai
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Thomas Schmitt
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Aleksandar Radujkovic
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Laila König
- Department of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.,National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
| | - Anthony D Ho
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Thomas Luft
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Carsten Müller-Tidow
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Peter Dreger
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Ute Hegenbart
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Stefan O Schönland
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
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23
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Zaccaria GM, Bertamini L, Petrucci MT, Offidani M, Corradini P, Capra A, Romano A, Liberati AM, Mannina D, de Fabritiis P, Cascavilla N, Ruggeri M, Mina R, Patriarca F, Benevolo G, Belotti A, Gaidano G, Nagler A, Hájek R, Spencer A, Sonneveld P, Musto P, Boccadoro M, Gay F. Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients. Clin Cancer Res 2021; 27:3695-3703. [PMID: 33926915 DOI: 10.1158/1078-0432.ccr-21-0134] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/12/2021] [Accepted: 04/26/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE Despite the improvement of therapeutic regimens, several patients with multiple myeloma (MM) still experience early relapse (ER). This subset of patients currently represents an unmet medical need. EXPERIMENTAL DESIGN We pooled data from seven European multicenter phase II/III clinical trials enrolling 2,190 patients with newly diagnosed MM from 2003 to 2017. Baseline patient evaluation included 14 clinically relevant features. Patients with complete data (n = 1,218) were split into training (n = 844) and validation sets (n = 374). In the training set, a univariate analysis and a multivariate logistic regression model on ER within 18 months (ER18) were made. The most accurate model was selected on the validation set. We also developed a dynamic version of the score by including response to treatment. RESULTS The Simplified Early Relapse in Multiple Myeloma (S-ERMM) score was modeled on six features weighted by a score: 5 points for high lactate dehydrogenase or t(4;14); 3 for del17p, abnormal albumin, or bone marrow plasma cells >60%; and 2 for λ free light chain. The S-ERMM identified three patient groups with different risks of ER18: Intermediate (Int) versus Low (OR = 2.39, P < 0.001) and High versus Low (OR = 5.59, P < 0.001). S-ERMM High/Int patients had significantly shorter overall survival (High vs. Low: HR = 3.24, P < 0.001; Int vs. Low: HR = 1.86, P < 0.001) and progression-free survival-2 (High vs. Low: HR = 2.89, P < 0.001; Int vs. Low: HR = 1.76, P < 0.001) than S-ERMM Low. The Dynamic S-ERMM (DS-ERMM) modulated the prognostic power of the S-ERMM. CONCLUSIONS On the basis of simple, widely available baseline features, the S-ERMM and DS-ERMM properly identified patients with different risks of ER and survival outcomes.
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Affiliation(s)
- Gian Maria Zaccaria
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.,Hematology and Cell Therapy Unit, IRCCS Istituto Tumori 'Giovanni Paolo II,' Bari, Italy
| | - Luca Bertamini
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Maria Teresa Petrucci
- Hematology, Department of Translational and Precision Medicine, Azienda Ospedaliera Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Massimo Offidani
- Clinica di Ematologia, AOU Ospedali Riuniti di Ancona, Ancona, Italy
| | - Paolo Corradini
- Divisione di Ematologia, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano; Università degli Studi di Milano, Milano, Italy
| | - Andrea Capra
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Alessandra Romano
- Department of General Surgery and Medical-Surgical Specialties, Haematology Section, University of Catania, Catania, Italy
| | - Anna Marina Liberati
- Università degli Studi di Perugia, Azienda Ospedaliera Santa Maria, Terni, Italy
| | - Donato Mannina
- Division of Hematology, Azienda Ospedaliera Papardo, Messina, Italy
| | - Paolo de Fabritiis
- Hematology, St. Eugenio Hospital ASL Roma 2, Tor Vergata University, Rome, Italy
| | - Nicola Cascavilla
- Ematologia, Ospedale "Casa Sollievo della Sofferenza" IRCCS, San Giovanni Rotondo, Italy
| | - Marina Ruggeri
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Roberto Mina
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Francesca Patriarca
- Clinica Ematologica e Unità di Terapie Cellulari, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Dipartimento di Area Medica (DAME), Università di Udine, Udine, Italy
| | - Giulia Benevolo
- SC Hematology, AO Città della Salute e della Scienza, Turin, Italy
| | - Angelo Belotti
- Hematology Division, ASST Spedali Civili Brescia, Brescia, Italy
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Arnon Nagler
- Hematology Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Roman Hájek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic.,Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | | | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Pellegrino Musto
- Department of Emergency and Organ Transplantation, "Aldo Moro" University School of Medicine, Bari, Italy.,Unit of Hematology and Stem Cell Transplantation, AOUC Policlinico, Bari, Italy
| | - Mario Boccadoro
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Francesca Gay
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.
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24
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Pulmonary Lymphangitic Spread of Multiple Myeloma as Early Relapse after Autologous Stem Cell Transplantation. Case Rep Hematol 2021; 2021:5590975. [PMID: 33884207 PMCID: PMC8041536 DOI: 10.1155/2021/5590975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/23/2021] [Accepted: 03/26/2021] [Indexed: 11/19/2022] Open
Abstract
Clinical relapses early after autologous stem cell transplantation portrays an inferior clinical outcome. Early relapse in this setting with extramedullary disease (EMD) of lung involvement in multiple myeloma is rare. To our knowledge, this is the first reported case of lymphangitic spread of myeloma with pulmonary parenchymal and pleural involvement occurring at first relapse.
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25
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Kumar SK, Callander NS, Adekola K, Anderson L, Baljevic M, Campagnaro E, Castillo JJ, Chandler JC, Costello C, Efebera Y, Faiman M, Garfall A, Godby K, Hillengass J, Holmberg L, Htut M, Huff CA, Kang Y, Hultcrantz M, Larson S, Liedtke M, Martin T, Omel J, Shain K, Sborov D, Stockerl-Goldstein K, Weber D, Keller J, Kumar R. Multiple Myeloma, Version 3.2021, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 2020; 18:1685-1717. [PMID: 33285522 DOI: 10.6004/jnccn.2020.0057] [Citation(s) in RCA: 117] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Multiple myeloma is a malignant neoplasm of plasma cells that accumulate in bone marrow, leading to bone destruction and marrow failure. This manuscript discusses the management of patients with solitary plasmacytoma, smoldering multiple myeloma, and newly diagnosed multiple myeloma.
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Affiliation(s)
| | | | - Kehinde Adekola
- 3Robert H. Lurie Comprehensive Cancer of Center Northwestern University
| | | | | | | | - Jorge J Castillo
- 7Dana-Farber/Brigham and Women's Cancer Center
- Massachusetts General Hospital Cancer Center
| | - Jason C Chandler
- 8St. Jude Children's Research Hospital/The University of Tennessee Health Science Center
| | | | - Yvonne Efebera
- 10The Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute
| | - Matthew Faiman
- 11Case Comprehensive Cancer Center/University Hospitals Seidman Cancer Center and Cleveland Clinic Taussig Cancer Institute
| | - Alfred Garfall
- 12Abramson Cancer Center at the University of Pennsylvania
| | | | | | - Leona Holmberg
- 15Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance
| | - Myo Htut
- 16City of Hope National Medical Center
| | - Carol Ann Huff
- 17The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins
| | | | | | | | | | - Thomas Martin
- 22UCSF Helen Diller Family Comprehensive Cancer Center
| | | | | | | | | | - Donna Weber
- 27The University of Texas MD Anderson Cancer Center; and
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26
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Beksac M, Savani BN. Prognostic scoring system after transplantation in myeloma: predicting early relapse. Br J Haematol 2020; 191:323-324. [PMID: 32712969 DOI: 10.1111/bjh.16986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 06/30/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Meral Beksac
- Department of Hematology, Ankara University, Ankara, Turkey
| | - Bipin N Savani
- Division of Hematology and Oncology, Vanderbilt University Medical Center, Nashville, TN, USA
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