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Kikuchi T, Tsukada N, Kunisada K, Matsumoto C, Nomura-Yogo M, Oda Y, Sato K, Takei T, Ogura M, Abe Y, Suzuki K, Hosoya O, Ishida T. Prognostic impact of 1q abnormality on outcomes in patients with newly diagnosed multiple myeloma treated with daratumumab, lenalidomide and dexamethasone in a real-world clinical setting. Ann Hematol 2024:10.1007/s00277-024-05835-4. [PMID: 38839622 DOI: 10.1007/s00277-024-05835-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 06/04/2024] [Indexed: 06/07/2024]
Affiliation(s)
- Taku Kikuchi
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan.
| | - Nobuhiro Tsukada
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
| | - Kodai Kunisada
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
| | - Chiaki Matsumoto
- Department of Pharmacy, Japanese Red Cross Medical Center, Tokyo, Japan
| | - Moe Nomura-Yogo
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
| | - Yuki Oda
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
| | - Kota Sato
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
| | - Tomomi Takei
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
| | - Mizuki Ogura
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
| | - Yu Abe
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
| | - Kenshi Suzuki
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
| | - Osamu Hosoya
- Department of Pharmacy, Japanese Red Cross Medical Center, Tokyo, Japan
| | - Tadao Ishida
- Department of Hematology, Japanese Red Cross Medical Center, 4-chōme-1-22 Hiroo, Shibuya-ku, Tokyo, 150-8935, Japan
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Lipof JJ, Abdallah N, Lipe B. Personalized Treatment of Multiple Myeloma in Frail Patients. Curr Oncol Rep 2024:10.1007/s11912-024-01545-2. [PMID: 38761302 DOI: 10.1007/s11912-024-01545-2] [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: 05/07/2024] [Indexed: 05/20/2024]
Abstract
PURPOSE OF REVIEW As the treatment landscape for multiple myeloma (MM) continues to expand at a rapid pace, management of older adults and frail patients becomes increasingly challenging. As these patients have traditionally been underrepresented on clinical trials, there is limited guidance on the optimal approach to frail patients with newly diagnosed multiple myeloma (NDMM) or relapsed and refractory multiple myeloma (RRMM). RECENT FINDINGS Frailty is an independent predictor of tolerability and response to antineoplastic treatment. Stringent eligibility criteria have often excluded these patients, but recently some large trials have included frailty sub-analyses to help guide management. In general, triplet regimens are preferred to doublet regimens in this population and enrollment on a clinical trial should be prioritized when possible. In this review, we summarize the MM frailty scoring tools that have been developed to identify and assess this vulnerable population. We present the clinical trials over the past decade that have enrolled frail patients and/or have included subgroup analyses to help elucidate the response and tolerability of different regimens in this underrepresented group. We provide practical advice regarding assessment and management of frail patients NDMM and RRMM.
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Affiliation(s)
- Jodi J Lipof
- Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center, Wilmot Cancer Institute, Rochester, NY, USA
| | - Nadine Abdallah
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Brea Lipe
- Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center, Wilmot Cancer Institute, Rochester, NY, USA.
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Firestone RS, McAvoy D, Shekarkhand T, Serrano E, Hamadeh I, Wang A, Zhu M, Qin WG, Patel D, Tan CR, Hultcrantz M, Mailankody S, Hassoun H, Shah US, Korde N, Maclachlan KH, Landau HJ, Scordo M, Shah GL, Lahoud OB, Giralt S, Murata K, Hosszu KK, Chung DJ, Lesokhin AM, Usmani SZ. CD8 effector T cells enhance teclistamab response in BCMA-exposed and -naïve multiple myeloma. Blood Adv 2024; 8:1600-1611. [PMID: 37878808 PMCID: PMC10987849 DOI: 10.1182/bloodadvances.2023011225] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/02/2023] [Accepted: 10/05/2023] [Indexed: 10/27/2023] Open
Abstract
ABSTRACT Teclistamab, a B-cell maturation antigen (BCMA)- and CD3-targeting bispecific antibody, is an effective novel treatment for relapsed/refractory multiple myeloma (R/RMM), but efficacy in patients exposed to BCMA-directed therapies and mechanisms of resistance have yet to be fully delineated. We conducted a real-world retrospective study of commercial teclistamab, capturing both clinical outcomes and immune correlates of treatment response in a cohort of patients (n = 52) with advanced R/RMM. Teclistamab was highly effective with an overall response rate (ORR) of 64%, including an ORR of 50% for patients with prior anti-BCMA therapy. Pretreatment plasma cell BCMA expression levels had no bearing on response. However, comprehensive pretreatment immune profiling identified that effector CD8+ T-cell populations were associated with response to therapy and a regulatory T-cell population associated with nonresponse, indicating a contribution of immune status in outcomes with potential utility as a biomarker signature to guide patient management.
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Affiliation(s)
- Ross S. Firestone
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Devin McAvoy
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Tala Shekarkhand
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Edith Serrano
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Issam Hamadeh
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alice Wang
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Menglei Zhu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Wei Ge Qin
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Dhwani Patel
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Carlyn R. Tan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sham Mailankody
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Hani Hassoun
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Urvi S. Shah
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Neha Korde
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kylee H. Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Heather J. Landau
- Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Michael Scordo
- Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Gunjan L. Shah
- Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Oscar B. Lahoud
- Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sergio Giralt
- Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kazunori Murata
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kinga K. Hosszu
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David J. Chung
- Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alexander M. Lesokhin
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Saad Z. Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
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Zhang T, Lin Z, Zheng Z, Wang Q, Zhou S, Zhang B, Zheng D, Chen Z, Zheng S, Zhang Y, Lin X, Dong R, Chen J, Qian H, Hu X, Zhuang Y, Zhang Q, Jin Z, Jiang S, Ma Y. Prognostic significance of β2-microglobulin decline index in multiple myeloma. Front Oncol 2024; 14:1322680. [PMID: 38562177 PMCID: PMC10982376 DOI: 10.3389/fonc.2024.1322680] [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: 10/16/2023] [Accepted: 03/07/2024] [Indexed: 04/04/2024] Open
Abstract
Purpose To assess the prognostic significance of β2-microglobulin decline index (β2M DI) in multiple myeloma (MM). Methods 150 MM patients diagnosed with MM were enrolled in this study. Cox proportional hazards model was used to analyze the uni- and multivariate prognosis in training cohort (n=105). A new combined prognostic model containing β2M DI was built up based on the data in training cohort. The validation group was used to verify the model. Results β2M DI showed significant correlation with prognosis in both uni- and multivariate analyses and had a good correlation with complete response (CR) rate and deep remission rate. The ROC and calibration curves in validation cohort (n=45) indicated a good predictive performance of the new model. Based on the median risk score of the training group, we classified patients into high- and low- risk groups. In both training and validation groups, patients in the low-risk group had longer overall survival (OS) time than that in the high-risk group (p<0.05). Conclusion β2M DI is a good predictive index for predicting treatment response and survival time in MM patients. The prognostic model added with β2M DI showed a better correlation with OS.
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Affiliation(s)
- Tianyu Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Department of Neurology, The First People’s Hospital of Fuyang District, Hangzhou, Zhejiang, China
| | - Zhili Lin
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ziwei Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Quanqiang Wang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shujuan Zhou
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Bingxin Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Dong Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zixing Chen
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Sisi Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yu Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xuanru Lin
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Rujiao Dong
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jingjing Chen
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Honglan Qian
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xudong Hu
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yan Zhuang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qianying Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhouxiang Jin
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Songfu Jiang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yongyong Ma
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- The First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province, Wenzhou, Zhejiang, China
- The First Affiliated Hospital of Wenzhou Medical University, Zhejiang Engineering Research Center for Hospital Emergency and Process Digitization, Wenzhou, Zhejiang, China
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5
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Murugappan MN, King-Kallimanis BL, Bhatnagar V, Kanapuru B, Farley JF, Seifert RD, Stenehjem DD, Chen TY, Horodniceanu EG, Kluetz PG. Patient-reported frailty phenotype (PRFP) vs. International Myeloma Working Group frailty index (IMWG FI) proxy: A comparison between two approaches to measuring frailty. J Geriatr Oncol 2024; 15:101681. [PMID: 38104480 DOI: 10.1016/j.jgo.2023.101681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 11/02/2023] [Accepted: 11/30/2023] [Indexed: 12/19/2023]
Abstract
INTRODUCTION Frailty assessments may help to identify patients at highest risk for treatment-related toxicity, early treatment discontinuation due to toxicity, and death in Multiple Myeloma. We aimed to compare the patient-reported frailty phenotype (PRFP) and a modified version of the International Myeloma Working Group frailty index (IMWG FI) in terms of their strengths, limitations, and classification of frailty in a cohort of patients with relapsed/refractory multiple myeloma (RRMM). MATERIALS AND METHODS Data were pooled from six RRMM Phase 3 randomized clinical trials submitted to the Food and Drug Administration for regulatory review between 2010 and 2021. Patients were classified as fit, intermediate fit/pre-frail, or frail using both PRFP and the IMWG FI proxy. Agreement between the two approaches in classification of patient frailty was assessed using weighted Cohen's kappa. A contingency table and Venn diagram were generated to analyze overlap in categorization of patient frailty across the different severity groups. Descriptive statistics were used to summarize and compare the clinical and demographic characteristics of patients categorized as frail by PRFP vs. IMWG FI proxy. RESULTS Of the 2,750 patients included in this analysis, IMWG FI proxy classified 16.4% (452) patients as frail, 28.1% (772) as intermediate fit/pre-frail, and 55.5% (1,526) as fit. Meanwhile, PRFP classified 21.7% (597) of patients as frail, 24.5% (675) as intermediate fit/pre-frail, and 53.8% (1478) as fit. Fair agreement was observed between PRFP and IMWG FI proxy (weighted Cohen's Kappa = 0.34 [0.31-0.37]). On average, patients who were categorized as frail by IMWG FI proxy were older and had higher Charlson Comorbidity Index scores than patients classified as frail by PRFP. In contrast, patients who were classified as frail by PRFP had worse EORTC QLQ-C30 Physical Functioning subscale summary scores as compared to patients in the IMWG FI proxy frail group (median score of 40 vs. 47 out of 100). DISCUSSION Our analysis found fair concordance between IMWG FI proxy and PRFP. This demonstrates that while both frailty models measure the same underlying construct, the variables that constitute each approach may result in differing frailty categorizations for the same patient. Further prospective studies are needed to establish and compare the predictive and prognostic abilities of the different frailty indices in MM.
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Affiliation(s)
- Meena N Murugappan
- ORISE Fellow, Office of Oncologic Diseases, Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (U.S. FDA), Silver Spring, MD, USA; Department of Pharmaceutical Care and Health Systems, University of Minnesota - College of Pharmacy, Minneapolis, MN, USA.
| | | | - Vishal Bhatnagar
- Oncology Center for Excellence U.S. Food and Drug Administration (U.S. FDA), Silver Spring, MD, USA
| | - Bindu Kanapuru
- Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (U.S. FDA), Silver Spring, MD, USA
| | - Joel F Farley
- Department of Pharmaceutical Care and Health Systems, University of Minnesota - College of Pharmacy, Minneapolis, MN, USA
| | - Randall D Seifert
- Department of Pharmaceutical Care and Health Systems, University of Minnesota - College of Pharmacy, Minneapolis, MN, USA
| | - David D Stenehjem
- Department of Pharmacy Practice and Pharmaceutical Sciences, University of Minnesota - College of Pharmacy, Minneapolis, MN, USA
| | - Ting-Yu Chen
- ORISE Fellow, Office of Oncologic Diseases, Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (U.S. FDA), Silver Spring, MD, USA
| | - Erica G Horodniceanu
- Oncology Center for Excellence U.S. Food and Drug Administration (U.S. FDA), Silver Spring, MD, USA
| | - Paul G Kluetz
- Oncology Center for Excellence U.S. Food and Drug Administration (U.S. FDA), Silver Spring, MD, USA
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Puła A, Robak T, Dróżdż I, Stawiski K, Rycerz A, Misiewicz M, Robak P. Circulating serum microRNAs as biomarkers of drug resistance in multiple myeloma patients treated with bortezomib-based regimens - pilot study. Leuk Lymphoma 2024; 65:257-264. [PMID: 37948578 DOI: 10.1080/10428194.2023.2278431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/28/2023] [Indexed: 11/12/2023]
Abstract
Despite advances in multiple myeloma (MM) treatment, drug resistance remains a clinical challenge. We aimed to develop a prognostic model for bortezomib resistance based on miRNA expression profiling. The study included 40 previously untreated MM patients receiving bortezomib-based regimens (20 treatment-sensitive, 20 resistant). Pretreatment venous blood samples were analyzed for miRNA expression. Differential expression analysis revealed upregulated miR-27b-3p (FC 1.45, p = 0.017) and let-7b-5p (FC 1.44, p = 0.025) in the resistant group. Univariate analysis identified let-7b-5p (OR 3.17, 95%CI: 1.19-11.4, p = 0.04) and miR-27b-3p (OR 4.73, 95%CI: 1.4-26.6, p = 0.036) as risk factors for resistance. The final multivariate model included miR-27b-3p (OR 23.1, 95% CI: 2.8-452, p = 0.015), let-7b-5p (OR 4.38, 95% CI: 1.28-22.2, p = 0.038), and miR-103a-3p (OR 15.3, 95% CI: 1.33-351, p = 0.049). These miRNAs may serve as biomarkers of treatment response in MM. However, external validation is necessary to confirm the clinical utility of our model.
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Affiliation(s)
- Anna Puła
- Department of Hematology, Medical University of Lodz, Lodz, Poland
- Department of Hematooncology, Copernicus Memorial Hospital, Lodz, Poland
| | - Tadeusz Robak
- Department of Hematology, Medical University of Lodz, Lodz, Poland
- Department of General Hematology, Copernicus Memorial Hospital, Lodz, Poland
| | - Izabela Dróżdż
- Department of Clinical Genetics, Medical University of Lodz, Lodz, Poland
| | - Konrad Stawiski
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | - Aleksander Rycerz
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | | | - Paweł Robak
- Department of Hematology, Medical University of Lodz, Lodz, Poland
- Department of Hematooncology, Copernicus Memorial Hospital, Lodz, Poland
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Facon T, Leleu X, Manier S. How I treat multiple myeloma in geriatric patients. Blood 2024; 143:224-232. [PMID: 36693134 PMCID: PMC10808246 DOI: 10.1182/blood.2022017635] [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: 10/27/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 01/26/2023] Open
Abstract
ABSTRACT Multiple myeloma (MM) is primarily a disease of older patients. Until recently, geriatric aspects in the context of MM have been poorly investigated. Treatment outcomes for geriatric patients with MM are often compromised by comorbidities and an enhanced susceptibility to adverse events from therapy. Assessment of patient frailty has become more frequent and will be useful in the context of significant and continuous advances in therapy. The recent emergence of immunotherapy with CD38 monoclonal antibodies and upcoming immunooncology drugs, such as bispecific antibodies, will lead to additional therapeutic progress. The applicability of these new molecules to older and frail patients is a key clinical question. Here, we present 2 patient cases derived from clinical practice. We review current frailty scores and standards of care for older, newly diagnosed patients with MM, including frail subgroups, and discuss ways to tailor treatment, as well as treatment perspectives in this population.
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Affiliation(s)
- Thierry Facon
- Department of Hematology, University of Lille, Centre Hospitalier Universitaire Lille, Lille, France
| | - Xavier Leleu
- Department of Hematology, University of Poitiers, Centre Hospitalier Universitaire Poitiers, Poitiers, France
| | - Salomon Manier
- Department of Hematology, University of Lille, Centre Hospitalier Universitaire Lille, Lille, France
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8
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Du C, Li L, Fan H, Mao X, Liu J, Xu Y, Sui W, Deng S, Li C, Zhao J, Yi S, Hao M, Zou D, Zhao Y, Qiu L, An G. The age-dependent changes in risk weights of the prognostic factors for multiple myeloma. Hematology 2023; 28:2258686. [PMID: 37724573 DOI: 10.1080/16078454.2023.2258686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 09/10/2023] [Indexed: 09/21/2023] Open
Abstract
OBJECTIVE Multiple myeloma is a highly heterogenous plasma cell malignancy, commonly seen in older patients. Age is one of the important prognostic factors. However, nearly all the prognostic staging systems are based on clinical trials, where patients were relatively fit and young. It is unknown how the presence of biochemical or cytogenetic prognostic factors and their risk weights changes with older age. To further investigate this question, we retrospectively analyzed the data from a consecutive cohort of patients treated with either bortezomib or thalidomide-based therapy. METHODS This retrospective study was carried out on a cohort of 1125 newly diagnosed multiple myeloma patients, from January 2008 to December 2019. Patients received bortezomib or thalidomide-based induction and maintenance therapy. Patients accepted hematopoietic stem cell transplantation if eligible. Statistical analysis was conducted by Stata/MP 16.0 and SPSS 26.0. RESULTS With age increasing, the proportion of patients with ISS 3, performance status score ≥2, and the incidence rate of gain(1q) significantly increased. We also found that ISS became less important in older patients. However, cytogenetic abnormalities exerted a consistently adverse impact on survival, both in young and old patients. Older patients had an inferior outcome than their young counterparts. All patients in our cohort benefitted more from bortezomib than thalidomide-based induction therapy, except for patients ≥71 years old. CONCLUSIONS ISS may lose prognostic value in patients ≥71 years old. Older patients had an inferior outcome and needed more effective and less toxic treatment.Plain Language SummaryMultiple myeloma is a type of blood cancer commonly seen in older people. To treat this disease, genetic abnormality, the poor physical status of patients and the abundance of tumor cells are the main difficulties. We often draw these conclusions from clinical trials. However, clinical trials always enrolled relatively younger patients, so the presence and significance of these factors may vary from clinical trials to the real world. We conducted the study to find out the real risk in both young and old patients. We found that older patients were more likely to have anemia, poor nutritional status and renal function. We also found older patients had more risk of relapse, progression or death than young patients. Frail physical status is the key obstacle to treating older patients, and tumor burden no longer impacts the outcome of these people. Bortezomib is a powerful drug to treat this disease, but patients ≥71 years old had less benefit than younger ones. More studies should focus on older or frail patients as these patients need more effective and less toxic treatment.
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Affiliation(s)
- 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
| | - 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
| | - Huishou 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
| | - Xuehan Mao
- 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
| | - 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
| | - 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
| | - 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
| | - 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
| | - Chengwen 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
| | - Jiawei Zhao
- 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
| | - 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
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 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
| | - Yaozhong Zhao
- 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
| | - 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
| | - 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
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9
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Khadka S, Balaji S, Kaur J, Solanki D, Kasianchyk M, Chowdhury H, Patel I, Qasim M, Desai M, Maiyani P, Moradiya DV, Lal D, Patel AA, Lekkala M. Disparities in Outcomes of Hospitalizations Due to Multiple Myeloma: A Nationwide Comparison. Cureus 2023; 15:e47319. [PMID: 38022254 PMCID: PMC10656933 DOI: 10.7759/cureus.47319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2023] [Indexed: 12/01/2023] Open
Abstract
Background With the advent of novel treatments, there is a declining trend in the multiple myeloma (MM) mortality rate with an increasing hospitalization rate. However, there is limited population-based data on trends and outcomes of hospitalizations due to MM in the United States (US). Methods We analyzed the publicly available Nationwide Inpatient Sample (NIS) from 2007 to 2017 to identify MM hospitalizations. Results Hospitalizations for MM increased from 17,100 (8.71%) in 2007 to 19,490 (9.92%) in 2017. The in-hospital mortality rate declined from 8.4% in 2007 to 4.9% in 2017 (P <0.001) and discharge to facilities decreased from 20.4% in 2007 to 17.4% in 2017 (P <0.001). The odds of in-hospital mortality were higher with increasing age (odds ratio (OR): 1.46; 95% confidence interval (CI): 1.38 -1.54; P <0.0001), pneumonia (OR: 4.18; 95% CI: 3.63 - 4.81, P <0.0001), septicemia (OR: 2.50; 95% CI: 2.22 - 2.82; P <0.0001), renal failure (OR: 1.48; 95% CI: 1.34 -1.64; P <0.0001), uninsured/self-pay insurance status (OR: 2.69; 95% CI: 2.18 - 3.3; P <0.0001), rural hospital (OR: 2.26; 95% CI: 1.88 -2.72; P<0.0001), and urban-non-teaching hospitals (OR: 1.38; 95% CI: 1.23 - 1.56; P <0.0001). Also, increasing age (OR: 1.14; 95% CI: 1.11-1.18, P <0.0001), Black race (OR: 1.12; 95% CI: 1.02-1.23, P <0.0001), and multiple comorbidities were associated with higher disability. Conclusion Hospitalizations for MM continued to increase, whereas in-hospital mortality continued to decrease. Advanced age, sepsis, pneumonia, and renal failure were associated with higher odds of mortality in MM patients.
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Affiliation(s)
- Sushmita Khadka
- Internal Medicine, Guthrie Robert Packer Hospital, Sayre, USA
| | - Swetha Balaji
- Medicine, Scripps Clinic John R. Anderson V Medical Pavilion, San Diego, USA
| | - Japjeet Kaur
- Medicine, Sub-divisional Civil Hospital, Ajnala, IND
| | | | | | | | - Ishani Patel
- Medicine, Houston Medical Center, Warner Robins, USA
| | - Muhammad Qasim
- Internal Medicine, Hospital Corporation of America (HCA) Healthcare/University of South Florida (USF) Morsani College of Medicine Graduate Medical Education (GME) Oak Hill Hospital, Brooksville, USA
| | - Maheshkumar Desai
- Internal Medicine, Hamilton Medical Center, Medical College of Georgia/Augusta University, Dalton, USA
| | - Prakash Maiyani
- Internal Medicine, Gold Coast University Hospital, Southport, AUS
| | | | - Darshan Lal
- Hospital Medicine, Geisinger Commonwealth School of Medicine, Scranton, USA
| | - Achint A Patel
- Internal Medicine, Hospital Corporation of America (HCA) Healthcare/University of South Florida (USF) Morsani College of Medicine Graduate Medical Education (GME) Oak Hill Hospital, Brooksville, USA
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10
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Osada N, Kikuchi J, Iha H, Yasui H, Ikeda S, Takahashi N, Furukawa Y. c-FOS is an integral component of the IKZF1 transactivator complex and mediates lenalidomide resistance in multiple myeloma. Clin Transl Med 2023; 13:e1364. [PMID: 37581569 PMCID: PMC10426395 DOI: 10.1002/ctm2.1364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 07/28/2023] [Accepted: 08/06/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND The immunomodulatory drug lenalidomide, which is now widely used for the treatment of multiple myeloma (MM), exerts pharmacological action through the ubiquitin-dependent degradation of IKZF1 and subsequent down-regulation of interferon regulatory factor 4 (IRF4), a critical factor for the survival of MM cells. IKZF1 acts principally as a tumour suppressor via transcriptional repression of oncogenes in normal lymphoid lineages. In contrast, IKZF1 activates IRF4 and other oncogenes in MM cells, suggesting the involvement of unknown co-factors in switching the IKZF1 complex from a transcriptional repressor to an activator. The transactivating components of the IKZF1 complex might promote lenalidomide resistance by residing on regulatory regions of the IRF4 gene to maintain its transcription after IKZF1 degradation. METHODS To identify unknown components of the IKZF1 complex, we analyzed the genome-wide binding of IKZF1 in MM cells using chromatin immunoprecipitation-sequencing (ChIP-seq) and screened for the co-occupancy of IKZF1 with other DNA-binding factors on the myeloma genome using the ChIP-Atlas platform. RESULTS We found that c-FOS, a member of the activator protein-1 (AP-1) family, is an integral component of the IKZF1 complex and is primarily responsible for the activator function of the complex in MM cells. The genome-wide screening revealed the co-occupancy of c-FOS with IKZF1 on the regulatory regions of IKZF1-target genes, including IRF4 and SLAMF7, in MM cells but not normal bone marrow progenitors, pre-B cells or mature T-lymphocytes. c-FOS and IKZF1 bound to the same consensus sequence as the IKZF1 complex through direct protein-protein interactions. The complex also includes c-JUN and IKZF3 but not IRF4. Treatment of MM cells with short-hairpin RNA against FOS or a selective AP-1 inhibitor significantly enhanced the anti-MM activity of lenalidomide in vitro and in two murine MM models. Furthermore, an AP-1 inhibitor mitigated the lenalidomide resistance of MM cells. CONCLUSIONS C-FOS determines lenalidomide sensitivity and mediates drug resistance in MM cells as a co-factor of IKZF1 and thus, could be a novel therapeutic target for further improvement of the prognosis of MM patients.
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Affiliation(s)
- Naoki Osada
- Division of Stem Cell RegulationCenter for Molecular MedicineJichi Medical UniversityTochigiJapan
| | - Jiro Kikuchi
- Division of Stem Cell RegulationCenter for Molecular MedicineJichi Medical UniversityTochigiJapan
| | - Hidekatsu Iha
- Division of PathophysiologyThe Research Center for GLOBAL and LOCAL Infectious Diseases (RCGLID)Oita UniversityOitaJapan
| | - Hiroshi Yasui
- Division of Hematology and Oncology, Department of Internal MedicineSt. Marianna University School of MedicineKanagawaJapan
- Project Division of Innovative Diagnostics Technology Platform, The Institute of Medical ScienceThe University of TokyoTokyoJapan
| | - Sho Ikeda
- Department of HematologyNephrology and RheumatologyAkita University Graduate School of MedicineAkitaJapan
| | - Naoto Takahashi
- Department of HematologyNephrology and RheumatologyAkita University Graduate School of MedicineAkitaJapan
| | - Yusuke Furukawa
- Division of Stem Cell RegulationCenter for Molecular MedicineJichi Medical UniversityTochigiJapan
- Center for Medical EducationTeikyo University of ScienceTokyoJapan
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11
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Larocca A, Cani L, Bertuglia G, Bruno B, Bringhen S. New Strategies for the Treatment of Older Myeloma Patients. Cancers (Basel) 2023; 15:2693. [PMID: 37345030 DOI: 10.3390/cancers15102693] [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: 03/29/2023] [Revised: 05/04/2023] [Accepted: 05/06/2023] [Indexed: 06/23/2023] Open
Abstract
Multiple myeloma (MM) mostly affects older patients, who represent a highly heterogeneous population. In the last few years, the introduction of novel agents led to a significant improvement in the outcome of MM patients. Nonetheless, this positive trend is less likely to occur in all older patients due to comorbidities/disabilities and major susceptibility to toxic events. Furthermore, older patients with major comorbidities are usually excluded or underrepresented in most registrational clinical trials. In this context, physicians have called for greater caution in the management of the disease. Several scores allow for the identification of frail and unfit patients and establish the possibility of tailoring therapy, reducing toxicity. This review explores the available tools for the assessment of frailty and what has been done to improve the discriminative power of the available scores. Thereafter, it describes the main therapeutic strategies for the management of transplant-ineligible (NTE) newly diagnosed (ND) MM patients and relapsed/refractory (RR) MM patients, in order to better guide physicians in choosing treatment options and to suggest possible strategies for more frail patients.
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Affiliation(s)
- Alessandra Larocca
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Department of Oncology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Lorenzo Cani
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Department of Oncology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Giuseppe Bertuglia
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Department of Oncology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Benedetto Bruno
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Sara Bringhen
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Department of Oncology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
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12
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Herbst F, Dickman PW, Moberg L, Högberg T, Borgfeldt C. Increased incidence and improved survival in endometrial cancer in Sweden 1960-2014: a population-based registry survey. BMC Cancer 2023; 23:276. [PMID: 36973669 PMCID: PMC10045609 DOI: 10.1186/s12885-023-10746-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 03/16/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND An investigation of trends of incidence and net survival (NS) for endometrial cancer in Sweden. METHODS Morphologically verified endometrial carcinoma diagnosed 1960 to 2014 were collected from the nation-wide Swedish Cancer Registry. Endometrial cancer patients were assessed with regards to time trends for incidence and 54,825 cases remained for survival analyses. Cases diagnosed 1995 to 2014 were categorized according to detailed morphology and from 2005 to 2014 FIGO stage was also categorized. RESULTS There was a trend of increasing incidence of endometrial carcinoma for women above 55 years of age. NS was improved at 5- and 10-year follow-up. The 5-year net survival in 2010-2014 was 86%. The most prominent improvement in NS was found in the elderly women above 75 years of age. CONCLUSIONS This study observed increased incidence of endometrial cancer in Sweden from 1960 to 2014. The progress in diagnostics and treatment, seem to have improved the net survival, especially in elderly women.
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Affiliation(s)
- Filip Herbst
- Department of Obstetrics and Gynecology, Skåne University Hospital Lund, Lund University, Klinikgatan 12, 221 85, Lund, Sweden.
| | - Paul W Dickman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Louise Moberg
- Department of Obstetrics and Gynecology, Skåne University Hospital Lund, Lund University, Klinikgatan 12, 221 85, Lund, Sweden
| | - Thomas Högberg
- Department of Cancer Epidemiology, Skåne University Hospital Lund, Lund University, Lund, Sweden
| | - Christer Borgfeldt
- Department of Obstetrics and Gynecology, Skåne University Hospital Lund, Lund University, Klinikgatan 12, 221 85, Lund, Sweden
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13
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Carmichael J, Seymour F, McIlroy G, Tayabali S, Amerikanou R, Feyler S, Popat R, Pratt G, Parrish C, Ashcroft AJ, Jackson GH, Cook G. Delayed diagnosis resulting in increased disease burden in multiple myeloma: the legacy of the COVID-19 pandemic. Blood Cancer J 2023; 13:38. [PMID: 36922489 PMCID: PMC10015143 DOI: 10.1038/s41408-023-00795-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/11/2023] [Accepted: 01/30/2023] [Indexed: 03/17/2023] Open
Abstract
The COVID-19 pandemic has had global healthcare impacts, including high mortality from SARS-CoV-2 infection in cancer patients; individuals with multiple myeloma (MM) are especially susceptible to poor outcomes. However, even for MM patients who avoided severe infection, the ramifications of the pandemic have been considerable. The consequences of necessary socio-geographical behavior adaptation, including prolonged shielding and interruptions in delivery of non-pandemic medical services are yet to be fully understood. Using a real-world dataset of 323 consecutive newly diagnosed MM patients in England, we investigated the impact of the COVID-19 pandemic on routes to myeloma diagnosis, disease stage at presentation and relevant clinical outcomes. We demonstrate increasing MM presentations via emergency services and increased rates of bony and extra-medullary disease. Differences were seen in choice of induction therapy and the proportion of eligible patients undertaking autologous stem cell transplantation. Whilst survival was statistically inferior for emergency presentations, significant survival differences have yet to be demonstrated for the entire cohort diagnosed during the pandemic, making extended follow-up critical in this group. This dataset highlights wide-ranging issues facing MM patients consequent of the COVID-19 pandemic, with full impacts for clinicians and policy-makers yet to be elucidated.
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Affiliation(s)
- Jonathan Carmichael
- Leeds Institute of Clinical Trial research & Leeds Cancer Centre, University of Leeds, Leeds, UK
- NIHR Medtech & In Vitro Diagnostics Cooperative (Leeds), Leeds, UK
- Dept of Haematology, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, UK
| | - Frances Seymour
- Dept of Haematology, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, UK
| | - Graham McIlroy
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Sarrah Tayabali
- Dept of Haematology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Rosie Amerikanou
- Dept of Haematology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Sylvia Feyler
- Dept of Haematology, Calderdale & Huddersfield Foundation Trust, Huddersfield, UK
| | - Rakesh Popat
- Dept of Haematology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Guy Pratt
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Christopher Parrish
- Leeds Institute of Clinical Trial research & Leeds Cancer Centre, University of Leeds, Leeds, UK
- Dept of Haematology, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, UK
| | - A John Ashcroft
- Dept of Haematology, Pinderfields Hospital, Mid Yorkshire NHS Trust, Wakefield, UK
| | - Graham H Jackson
- Department of Haematology, Newcastle University, Newcastle, UK
- College of Myeloma (UK), London, UK
| | - Gordon Cook
- Leeds Institute of Clinical Trial research & Leeds Cancer Centre, University of Leeds, Leeds, UK.
- NIHR Medtech & In Vitro Diagnostics Cooperative (Leeds), Leeds, UK.
- Dept of Haematology, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, UK.
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14
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Bringhen S, Pour L, Benjamin R, Grosicki S, Min CK, de Farias DLC, Vorog A, Labotka RJ, Wang B, Cherepanov D, Cain LE, Manne S, Rajkumar SV, Dimopoulos MA. Ixazomib Versus Placebo as Post-Induction Maintenance Therapy in Newly Diagnosed Multiple Myeloma Patients: An Analysis by Age and Frailty Status of the TOURMALINE-MM4 Study. CLINICAL LYMPHOMA MYELOMA AND LEUKEMIA 2023:S2152-2650(23)00093-9. [PMID: 37149398 DOI: 10.1016/j.clml.2023.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 02/28/2023] [Accepted: 03/14/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND The TOURMALINE-MM4 trial demonstrated a significant and clinically meaningful progression-free survival (PFS) benefit with ixazomib versus placebo as postinduction maintenance in nontransplant, newly-diagnosed multiple myeloma patients, with a manageable and well-tolerated toxicity profile. MATERIALS AND METHODS In this subgroup analysis, efficacy and safety were assessed by age (< 65, 65-74, and ≥ 75 years) and frailty status (fit, intermediate-fit, and frail). RESULTS In this analysis, PFS benefit with ixazomib versus placebo was seen across age subgroups, including patients aged < 65 years (hazard ratio [HR], 0.576; 95% confidence interval [CI], 0.299-1.108; P = .095), 65-74 years (HR, 0.615; 95% CI, 0.467-0.810; P < .001), and ≥ 75 years (HR, 0.740; 95% CI, 0.537-1.019; P = .064). PFS benefit was also seen across frailty subgroups, including fit (HR, 0.530; 95% CI, 0.387-0.727; P < .001), intermediate-fit (HR, 0.746; 95% CI, 0.526-1.058; P = .098), and frail (HR, 0.733; 95% CI, 0.481-1.117; P = .147) patients. With ixazomib versus placebo, rates of grade ≥ 3 treatment-emergent adverse events (TEAEs; 28-44% vs. 10-36%), serious TEAEs (15-29% vs. 3-29%), and discontinuation due to TEAEs (7-19% vs. 5-11%) were higher or similar across age and frailty subgroups, and generally somewhat higher in older age groups and intermediate-fit/frail patients in both arms. Treatment with ixazomib versus placebo did not adversely affect patient-reported quality-of-life scores across age and frailty status subgroups. CONCLUSION Ixazomib is a feasible and effective maintenance option for prolonging PFS across this heterogeneous patient population.
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15
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Nie C, Lee H, Tay J, Duggan P, McCulloch S, Neri P, Bahlis NJ, Jimenez-Zepeda VH. Real-world Outcomes With Cumulative Bortezomib Dose and Efficacy in the Treatment of Transplant-ineligible Multiple Myeloma With Cyclophosphamide, Bortezomib, and Dexamethasone. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2023; 23:104-111. [PMID: 36396582 DOI: 10.1016/j.clml.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/06/2022] [Accepted: 10/17/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Higher cumulative dose of bortezomib, a key component of Multiple Myeloma (MM) treatment regimens, has been shown to improve outcomes in MM patients, but must be balanced with toxicities including peripheral neuropathy. In this study, we studied the effect of cumulative bortezomib dose on survival, depth of response, and discontinuation rate in transplant ineligible MM patients. PATIENTS AND METHODS Data from 70 patients treated with Cyclophsophamide, Bortezomib, and Dexamethasone (CyBorD) in a single Canadian center were grouped according to above vs below median cumulative bortezomib dose and analyzed for progression-free survival (PFS), overall survival (OS), depth of response, and discontinuation rate. RESULTS There was a trend for lower discontinuation rate (45.7% vs. 68.6%, P = .052) and significantly lower rate of neuropathy-related discontinuation (5.7% vs. 22.9%, P = .035) in patients who received higher than 43.1 mg/m² of bortezomib. The higher-dose group showed a trend for higher rate of complete response (14.3% vs. 5.7%, P = .225) and significantly higher rate of very good partial response or better (77.1% vs. 51.4%, P = .024). There was significantly longer PFS (24.3 vs. 9.1 months, P = .012) and a trend for longer OS (22.4 vs. 61.3 months, P = .061) in the higher-dose group. In landmark analysis after 180 days, PFS (23.5 vs. 24.3 months, P = .941) and OS were similar in both groups. CONCLUSION Higher cumulative bortezomib dose showed a lower rate of discontinuation, longer survival, and deeper response. Determining risk of treatment intolerance remains important for treatment.
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Affiliation(s)
- Chunpeng Nie
- Tom Baker Cancer Center, Department of Medical Oncology and Hematology, Calgary, Alberta, Canada
| | - Holly Lee
- Tom Baker Cancer Center, Department of Medical Oncology and Hematology, Calgary, Alberta, Canada
| | - Jason Tay
- Tom Baker Cancer Center, Department of Medical Oncology and Hematology, Calgary, Alberta, Canada; Charbonneau Cancer Research Institute, Calgary, Alberta, Canada
| | - Peter Duggan
- Tom Baker Cancer Center, Department of Medical Oncology and Hematology, Calgary, Alberta, Canada
| | - Sylvia McCulloch
- Tom Baker Cancer Center, Department of Medical Oncology and Hematology, Calgary, Alberta, Canada
| | - Paola Neri
- Tom Baker Cancer Center, Department of Medical Oncology and Hematology, Calgary, Alberta, Canada; Charbonneau Cancer Research Institute, Calgary, Alberta, Canada
| | - Nizar J Bahlis
- Tom Baker Cancer Center, Department of Medical Oncology and Hematology, Calgary, Alberta, Canada; Charbonneau Cancer Research Institute, Calgary, Alberta, Canada
| | - Victor H Jimenez-Zepeda
- Tom Baker Cancer Center, Department of Medical Oncology and Hematology, Calgary, Alberta, Canada; Charbonneau Cancer Research Institute, Calgary, Alberta, Canada.
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16
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Bao L, Liu A, Chu B, Wang Q, Dong Y, Lu M, Shi L, Gao S, Wang Y, Wang L, Chen W, Zhuang J. Front-line treatment efficacy and clinical outcomes of elderly patients with multiple myeloma in a real-world setting: A multicenter retrospective study in China. Cancer Med 2022; 12:3101-3111. [PMID: 36271592 PMCID: PMC9939119 DOI: 10.1002/cam4.5234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/12/2022] [Accepted: 08/23/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND The use of proteasome inhibitors (PIs), new immune modulators (IMiDs), and other new drugs, as well as high-dose chemotherapy combined with autologous stem cell transplantation has considerably improved the survival of young patients with multiple myeloma (MM). However, the improvement in survival among elderly patients remains insufficient. Optimal treatment recommendation models for elderly patients with MM have not been developed especially there are quite few study in the real world. METHODS We retrospectively analyzed the treatment patterns and outcomes of 328 Chinese patients (≥65 years) with MM in a real-world setting. Patients were divided into three groups according to induction regimens. RESULTS The median age of the cohort was 70 (65-86) years. The patients were divided into group 1 (PIs based regimens, n = 218), group 2 (IMiDs based regimens, n = 48) and group 3 (PIs + IMiDs, n = 62). Induction regimens in group 3 produced higher overall response rate than group 1 and 2 (85.42% vs. 71.08% vs. 66.67%, p = 0.016). The median follow-up of the cohort was 30 (interquartile range [IQR] 18-36) months. For the entire cohort median progression-free survival (PFS) was 26 (IQR 12.00-42.89) months and overall survival (OS) was 60 (IQR 40.00-67.20) months. The PFS were not significantly different among the three groups (28 months vs. 18 months vs. 26 months, p = 0.182). So were the OS (60 months vs. 59 months vs. not reached, p = 0.067). Multivariate analysis revealed that age >70 year, frailty status (Geriatric vulnerability score), induction efficacy < partial remission, and no maintenance treatment were independent poor prognostic factors for OS. CONCLUSION Front-line induction regimens combining PIs and IMiDs developed more deep response than single PI or IMiD based regimens. Maintenance treatment can further improve the clinical outcome in elderly MM patients in real-world setting.
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Affiliation(s)
- Li Bao
- Department of HematologyBeijing Jishuitan HospitalBeijingChina
| | - Ai‐Jun Liu
- Department of HematologyBeijing Chaoyang HospitalBeijingChina
| | - Bin Chu
- Department of HematologyBeijing Jishuitan HospitalBeijingChina
| | - Qian Wang
- Department of HematologyPeking University First HospitalBeijingChina
| | - Yu‐Jun Dong
- Department of HematologyPeking University First HospitalBeijingChina
| | - Min‐Qiu Lu
- Department of HematologyBeijing Jishuitan HospitalBeijingChina
| | - Lei Shi
- Department of HematologyBeijing Jishuitan HospitalBeijingChina
| | - Shan Gao
- Department of HematologyBeijing Jishuitan HospitalBeijingChina
| | - Yu‐Tong Wang
- Department of HematologyBeijing Jishuitan HospitalBeijingChina
| | - Li‐Fang Wang
- Department of Epidemiology and StatisticsBeijing Jishuitan HospitalBeijingChina
| | - Wen‐Ming Chen
- Department of HematologyBeijing Chaoyang HospitalBeijingChina
| | - Jun‐Ling Zhuang
- Department of HematologyPeking Union Medical College HospitalBeijingChina
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17
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Seymour F, Carmichael J, Taylor C, Parrish C, Cook G. Immune senescence in multiple myeloma-a role for mitochondrial dysfunction? Leukemia 2022; 36:2368-2373. [PMID: 35879358 DOI: 10.1038/s41375-022-01653-7] [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: 03/13/2022] [Revised: 07/02/2022] [Accepted: 07/11/2022] [Indexed: 11/09/2022]
Abstract
Age-related immune dysfunction is primarily mediated by immunosenescence which results in ineffective clearance of infective pathogens, poor vaccine responses and increased susceptibility to multi-morbidities. Immunosenescence-related immunometabolic abnormalities are associated with accelerated aging, an inflammatory immune response (inflammaging) and ultimately frailty syndromes. In addition, several conditions can accelerate the development of immunosenescence, including cancer. This is a bi-directional interaction since inflammaging may create a permissive environment for tumour development. Multiple myeloma (MM) is a mature B-cell malignancy that presents in the older population. MM exemplifies the interaction of age- (Host Response Biology; HRB) and disease-related immunological dysfunction, contributing to the development of a frailty syndrome which impairs the therapeutic impact of recent advances in treatment strategies. Understanding the mechanisms by which accelerated immunological aging is induced and the ways in which a tumour such as MM influences this process is key to overcoming therapeutic barriers. A link between cellular mitochondrial dysfunction and the acquisition of an abnormal immune phenotype has recently been described and has widespread physiological consequence beyond the impact on the immune system. Here we outline our current understanding of normal immune aging, describe the mechanism of immunometabolic dysfunction in accelerating this process, and propose the role these processes are playing in the pathogenesis of MM.
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Affiliation(s)
- Frances Seymour
- Department of Haematology, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, UK.
| | - Jonathan Carmichael
- Department of Haematology, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, UK
- NIHR (Leeds) Medtech & In vitro Diagnostic Cooperative, Leeds, UK
| | - Claire Taylor
- Experimental Haematology, Leeds Institute of Medical Research, University of Leeds UK, Leeds, UK
| | - Christopher Parrish
- Department of Haematology, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, UK
- Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trial Research, University of Leeds UK, Leeds, UK
| | - Gordon Cook
- Department of Haematology, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, UK
- NIHR (Leeds) Medtech & In vitro Diagnostic Cooperative, Leeds, UK
- Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trial Research, University of Leeds UK, Leeds, UK
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18
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Radzevičius M, Dirsė V, Klimienė I, Matuzevičienė R, Kučinskienė ZA, Pečeliūnas V. Multiple Myeloma Immunophenotype Related to Chromosomal Abnormalities Used in Risk Assessment. Diagnostics (Basel) 2022; 12:diagnostics12092049. [PMID: 36140450 PMCID: PMC9498268 DOI: 10.3390/diagnostics12092049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 08/02/2022] [Accepted: 08/22/2022] [Indexed: 11/25/2022] Open
Abstract
(1) Background: At diagnosis, multiplemyeloma risk estimation includes disease burden, end-organ damage, and biomarkers, with increasing emphasis on genetic abnormalities. Multicolor flow cytometry (MFC) is not always considered in risk estimation. We demonstrate associations found between genetic abnormalities and antigen expression of plasma cells measured by MFC. (2) Methods: Single nucleotide polymorphism microarray (SNP-A) karyotyping as well as MFC using standardized next-generation flow (NGF) panels and instrument settings were performed from bone marrow aspirates at the time of diagnosis. (3) Results: We uncovered specific immunophenotype features related to different genetic risk factors. Specifically, we found higher malignant/normal plasma cell ratio and lower expression of CD27, CD38, CD45, CD56, CD117 and CD138 in higher-risk genetic groups or risk categories.
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Affiliation(s)
- Mantas Radzevičius
- Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
- Correspondence: ; Tel.: +370-656-87976
| | - Vaidas Dirsė
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, 08661 Vilnius, Lithuania
| | - Indrė Klimienė
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, 08661 Vilnius, Lithuania
| | - Rėda Matuzevičienė
- Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
- Center of Laboratory Medicine, Vilnius University Hospital Santaros Klinikos, 08661 Vilnius, Lithuania
| | - Zita Aušrelė Kučinskienė
- Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
| | - Valdas Pečeliūnas
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, 08661 Vilnius, Lithuania
- Clinic of Internal Diseases, Family Medicine and Oncology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
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19
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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: 23] [Impact Index Per Article: 11.5] [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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20
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Coulson AB, Royle KL, Pawlyn C, Cairns DA, Hockaday A, Bird J, Bowcock S, Kaiser M, de Tute R, Rabin N, Boyd K, Jones J, Parrish C, Gardner H, Meads D, Dawkins B, Olivier C, Henderson R, Best P, Owen R, Jenner M, Kishore B, Drayson M, Jackson G, Cook G. Frailty-adjusted therapy in Transplant Non- Eligible patient s with newly diagno sed Multiple Myeloma (FiTNEss (UK-MRA Myeloma XIV Trial)): a study protocol for a randomised phase III trial. BMJ Open 2022; 12:e056147. [PMID: 35654466 PMCID: PMC9163533 DOI: 10.1136/bmjopen-2021-056147] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 03/24/2022] [Indexed: 01/15/2023] Open
Abstract
INTRODUCTION Multiple myeloma is a bone marrow cancer, which predominantly affects older people. The incidence is increasing in an ageing population.Over the last 10 years, patient outcomes have improved. However, this is less apparent in older, less fit patients, who are ineligible for stem cell transplant. Research is required in this patient group, taking into account frailty and aiming to improve: treatment tolerability, clinical outcomes and quality of life. METHODS AND ANALYSIS Frailty-adjusted therapy in Transplant Non-Eligible patients with newly diagnosed Multiple Myeloma is a national, phase III, multicentre, randomised controlled trial comparing standard (reactive) and frailty-adjusted (adaptive) induction therapy delivery with ixazomib, lenalidomide and dexamethasone (IRD), and to compare maintenance lenalidomide to lenalidomide+ixazomib, in patients with newly diagnosed multiple myeloma not suitable for stem cell transplant. Overall, 740 participants will be registered into the trial to allow 720 and 478 to be randomised at induction and maintenance, respectively.All participants will receive IRD induction with the dosing strategy randomised (1:1) at trial entry. Patients randomised to the standard, reactive arm will commence at the full dose followed by toxicity dependent reactive modifications. Patients randomised to the adaptive arm will commence at a dose level determined by their International Myeloma Working Group frailty score. Following 12 cycles of induction treatment, participants alive and progression free will undergo a second (double-blind) randomisation on a 1:1 basis to maintenance treatment with lenalidomide+placebo versus lenalidomide+ixazomib until disease progression or intolerance. ETHICS AND DISSEMINATION Ethical approval has been obtained from the North East-Tyne & Wear South Research Ethics Committee (19/NE/0125) and capacity and capability confirmed by local research and development departments for each participating centre prior to opening to recruitment. Participants are required to provide written informed consent prior to trial registration. Trial results will be disseminated by conference presentations and peer-reviewed publications. TRIAL REGISTRATION NUMBER ISRCTN17973108, NCT03720041.
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Affiliation(s)
- Amy Beth Coulson
- Leeds Institute of Clinical Trials Research, University of Leeds Clinical Trials Research Unit, Leeds, West Yorkshire, UK
| | - Kara-Louise Royle
- Leeds Institute of Clinical Trials Research, University of Leeds Clinical Trials Research Unit, Leeds, West Yorkshire, UK
| | | | - David A Cairns
- Leeds Institute of Clinical Trials Research, University of Leeds Clinical Trials Research Unit, Leeds, West Yorkshire, UK
| | - Anna Hockaday
- Leeds Institute of Clinical Trials Research, University of Leeds Clinical Trials Research Unit, Leeds, West Yorkshire, UK
| | - Jennifer Bird
- Department of Haematology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Stella Bowcock
- Department of Haematology, Kings College Hospital NHS Foundation Trust, Princess Royal Hospital, Hull, UK
| | - Martin Kaiser
- Institute of Cancer Research, London, UK
- The Department of Haemato-oncology, Royal Marsden Hospital NHS Trust, London, UK
| | - Ruth de Tute
- Haematology Malignancy Diagnostic Service (HMDS), St James's University Hospital, Leeds, West Yorkshire, UK
| | - Neil Rabin
- Department of Haematology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Kevin Boyd
- The Department of Haemato-oncology, Royal Marsden Hospital NHS Trust, London, UK
| | - John Jones
- King's College Hospital, London, UK
- Brighton and Sussex Medical School, Brighton, UK
| | | | - Hayley Gardner
- Department of Haematology and Stem Cell Transplantation, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - David Meads
- Academic Unit of Health Economics, University of Leeds, Leeds Institute of Health Sciences, Leeds, West Yorkshire, UK
| | - Bryony Dawkins
- Academic Unit of Health Economics, University of Leeds, Leeds Institute of Health Sciences, Leeds, West Yorkshire, UK
| | - Catherine Olivier
- Leeds Institute of Clinical Trials Research, University of Leeds Clinical Trials Research Unit, Leeds, West Yorkshire, UK
| | - Rowena Henderson
- Leeds Institute of Clinical Trials Research, University of Leeds Clinical Trials Research Unit, Leeds, West Yorkshire, UK
| | - Phillip Best
- Leeds Institute of Clinical Trials Research, University of Leeds Clinical Trials Research Unit, Leeds, West Yorkshire, UK
| | - Roger Owen
- Haematology Malignancy Diagnostic Service (HMDS), St James's University Hospital, Leeds, West Yorkshire, UK
| | | | - Bhuvan Kishore
- Department of Haematology and Stem Cell Transplantation, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Mark Drayson
- Institute of Immunology and Immunotherapy, Department of Haematology, University of Birmingham, Birmingham, UK
| | - Graham Jackson
- Department of Haematology, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK
| | - Gordon Cook
- Leeds Institute of Clinical Trials Research, University of Leeds Clinical Trials Research Unit, Leeds, West Yorkshire, UK
- Leeds Cancer Centre, St James's University Hospital, Leeds, West Yorkshire, UK
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21
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Grant SJ, Joshi G, Lipe B. SOHO State of the Art Updates and Next Questions: Treatment of Older, Vulnerable Adults with Multiple Myeloma. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2022; 22:279-286. [PMID: 34879993 PMCID: PMC9050878 DOI: 10.1016/j.clml.2021.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 10/27/2021] [Accepted: 11/03/2021] [Indexed: 05/03/2023]
Abstract
Multiple myeloma is primarily a disease of the elderly, and optimal treatments must weigh the risks of toxicity with the benefits of therapy. Frailty scales have been developed to aid treatment-decision making for older adults with MM. This review provides a framework for incorporating frailty scales into clinical care and highlights how patient-aligned priorities for care can influence the management of older or more vulnerable adults with newly diagnosed multiple myeloma newly diagnosed multiple myeloma. We review the currently available systemic therapies for managing older or more vulnerable adults with newly diagnosed multiple myeloma otherwise considered ineligible for autologous stem cell transplantation.
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Affiliation(s)
- Shakira J Grant
- Department of Medicine, Division of Hematology, The University of North Carolina at Chapel Hill, Chapel Hill, NC; Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Girija Joshi
- Department of Medicine, Division of Hematology, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Brea Lipe
- Department of Medicine, Division of Hematology-Oncology, University of Rochester, Rochester, NY.
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22
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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: 2] [Impact Index Per Article: 1.0] [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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23
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Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection. Cancers (Basel) 2022; 14:cancers14030606. [PMID: 35158874 PMCID: PMC8833500 DOI: 10.3390/cancers14030606] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/20/2022] [Accepted: 01/24/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary Multiple myeloma is a malignant neoplasm of plasma cells with complex pathogenesis. With major progresses in multiple myeloma research, it is essential that we reconsider our methods for diagnosing and monitoring multiple myeloma disease. This fact needs the integration of serology, histology, radiology, and genetic data; therefore, multiple myeloma study has generated massive quantities of granular high-dimensional data exceeding human understanding. With improved computational techniques, artificial intelligence tools for data processing and analysis are becoming more and more relevant. Artificial intelligence represents a wide set of algorithms for which machine learning and deep learning are presently among the most impactful. This review focuses on artificial intelligence applications in multiple myeloma research, first illustrating machine learning and deep learning procedures and workflow, followed by how these algorithms are used for multiple myeloma diagnosis, prognosis, bone lesions identification, and evaluation of response to the treatment. Abstract Artificial intelligence has recently modified the panorama of oncology investigation thanks to the use of machine learning algorithms and deep learning strategies. Machine learning is a branch of artificial intelligence that involves algorithms that analyse information, learn from that information, and then employ their discoveries to make abreast choice, while deep learning is a field of machine learning basically represented by algorithms inspired by the organization and function of the brain, named artificial neural networks. In this review, we examine the possibility of the artificial intelligence applications in multiple myeloma evaluation, and we report the most significant experimentations with respect to the machine and deep learning procedures in the relevant field. Multiple myeloma is one of the most common haematological malignancies in the world, and among them, it is one of the most difficult ones to cure due to the high occurrence of relapse and chemoresistance. Machine learning- and deep learning-based studies are expected to be among the future strategies to challenge this negative-prognosis tumour via the detection of new markers for their prompt discovery and therapy selection and by a better evaluation of its relapse and survival.
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24
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Lecouvet FE, Vekemans MC, Van Den Berghe T, Verstraete K, Kirchgesner T, Acid S, Malghem J, Wuts J, Hillengass J, Vandecaveye V, Jamar F, Gheysens O, Vande Berg BC. Imaging of treatment response and minimal residual disease in multiple myeloma: state of the art WB-MRI and PET/CT. Skeletal Radiol 2022; 51:59-80. [PMID: 34363522 PMCID: PMC8626399 DOI: 10.1007/s00256-021-03841-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 05/28/2021] [Accepted: 06/06/2021] [Indexed: 02/02/2023]
Abstract
Bone imaging has been intimately associated with the diagnosis and staging of multiple myeloma (MM) for more than 5 decades, as the presence of bone lesions indicates advanced disease and dictates treatment initiation. The methods used have been evolving, and the historical radiographic skeletal survey has been replaced by whole body CT, whole body MRI (WB-MRI) and [18F]FDG-PET/CT for the detection of bone marrow lesions and less frequent extramedullary plasmacytomas.Beyond diagnosis, imaging methods are expected to provide the clinician with evaluation of the response to treatment. Imaging techniques are consistently challenged as treatments become more and more efficient, inducing profound response, with more subtle residual disease. WB-MRI and FDG-PET/CT are the methods of choice to address these challenges, being able to assess disease progression or response and to detect "minimal" residual disease, providing key prognostic information and guiding necessary change of treatment.This paper provides an up-to-date overview of the WB-MRI and PET/CT techniques, their observations in responsive and progressive disease and their role and limitations in capturing minimal residual disease. It reviews trials assessing these techniques for response evaluation, points out the limited comparisons between both methods and highlights their complementarity with most recent molecular methods (next-generation flow cytometry, next-generation sequencing) to detect minimal residual disease. It underlines the important role of PET/MRI technology as a research tool to compare the effectiveness and complementarity of both methods to address the key clinical questions.
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Affiliation(s)
- Frederic E. Lecouvet
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
| | - Marie-Christiane Vekemans
- Haematology Unit, Cliniques Universitaires Saint-Luc, Institut de Recherche Expérimentale et Clinique (IREC), 1200 Brussels, Belgium
| | - Thomas Van Den Berghe
- Radiology Department, Universiteit Ghent, Sint-Pietersnieuwstraat 33, 9000 Gent, Belgium
| | - Koenraad Verstraete
- Radiology Department, Universiteit Ghent, Sint-Pietersnieuwstraat 33, 9000 Gent, Belgium
| | - Thomas Kirchgesner
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
| | - Souad Acid
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
| | - Jacques Malghem
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
| | - Joris Wuts
- Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Avenue du Laerbeek 101, 1090 Jette, Belgium
| | - Jens Hillengass
- Departement of Medicine, Myeloma Unit, Park Comprehensive Cancer Center, Buffalo, NY USA
| | - Vincent Vandecaveye
- Radiology Department, Katholieke Univesiteit Leuven, Oude Markt, 13, 3000 Leuven, Belgium
| | - François Jamar
- Nuclear Medicine Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, 1200 Brussels, Belgium
| | - Olivier Gheysens
- Nuclear Medicine Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, 1200 Brussels, Belgium
| | - Bruno C. Vande Berg
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
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25
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Grant SJ, Freeman CL, Rosko AE. Treatment of older adult or frail patients with multiple myeloma. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2021; 2021:46-54. [PMID: 34889397 PMCID: PMC8791156 DOI: 10.1182/hematology.2021000231] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Older adults with multiple myeloma (MM) are a growing population, and personalizing treatment based on disease and health status is imperative. Similar to MM staging systems that provide disease-related prognostic information, myeloma-specific frailty tools can better identify subgroups at greatest risk for treatment-related toxicity and early treatment discontinuation, as well as predict overall survival. Several myeloma-specific validated tools are well studied. Although these fitness/frailty scores have shaped our understanding of the heterogeneity among older adults with myeloma, the application of such scores in treatment decision making (ie, transplant considerations, relapse) is an unmet need. Here we outline how to incorporate frailty assessments in the evaluation of older adults with MM in the clinical setting with consideration of other factors such as patient preferences, treatment risks/benefits, life expectancy, and disease biology.
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Affiliation(s)
- Shakira J Grant
- Department of Medicine, Division of Hematology, The University of North Carolina at Chapel Hill, Chapel Hill, NC; Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Ciara L Freeman
- Division of Medical Oncology, University of British Columbia, Vancouver, BC, Canada
| | - Ashley E Rosko
- Division of Hematology, The Ohio State University, Columbus, OH
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26
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Shang Y, Jin Y, Liu H, Ding L, Tong X, Tu H, Zang L, Lin C, Hu J, Zhou F. Evaluation of prognostic staging systems of multiple myeloma in the era of novel agents. Hematol Oncol 2021; 40:212-222. [PMID: 34860428 DOI: 10.1002/hon.2955] [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: 10/09/2021] [Revised: 11/07/2021] [Accepted: 11/30/2021] [Indexed: 11/08/2022]
Abstract
This study aimed to evaluate the existing staging systems for multiple myeloma (MM) in the real world. From January 2010 to June 2019, we retrospectively analyzed 859 newly diagnosed MM patients from two institutions. Clinical data including laboratory findings, imaging examinations and staging system were obtained by reviewing medical records. Survival distributions were estimated using the Kaplan-Meier curve analysis, and Cox proportional hazards model were used to identified risk factors. The overall survival (OS) of eligible patients was 61.0 months. The Revised International Staging System (R-ISS) had a larger receiver operating characteristic curve area (0.603) than both the International Staging System (0.573) and the Durie Salmon staging system (0.567). In the group receiving immunomodulatory agents-based regimens, the median OS was 92.0 months in R-ISS I, 63.0 months in R-ISS II and 18.0 months in R-ISS III (p < 0.0001). In the group receiving proteasome inhibitors-based regimens, the median OS was 102.0 months in R-ISS I, 63.0 months in R-ISS II and 22.0 months in R-ISS III (p < 0.0001). In different subgroups grouped according to age, hemoglobin (HGB), creatinine, and Ca, R-ISS also had a good stratification effect. Patients in R-ISS II, which accounted for 69.9% of all patients, were further analyzed. Univariate and multivariate Cox analyses revealed that age >65 years (p = 0.001), HGB < 100 g/L (p < 0.001), elevated LDH (p = 0.001), and Ca (p = 0.010) were independent predictors of worse prognosis within R-ISS II. To conclusion, R-ISS remains a valuable staging system in the real world of the novel drug era. However, patients classified as R-ISS II still have great heterogeneity.
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Affiliation(s)
- Yufeng Shang
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yanxia Jin
- Hubei Key Laboratory of Edible Wild Plants Conservation and Utilization, Hubei Normal University, Huangshi, Hubei, China
| | - Hailing Liu
- Department of Clinical Hematology, Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Lu Ding
- Scientific Research Office, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xiqin Tong
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Honglei Tu
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Longkai Zang
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Chenyao Lin
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jinsong Hu
- Department of Cell Biology and Genetics, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
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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: 21] [Impact Index Per Article: 7.0] [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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Binder M, Nandakumar B, Rajkumar SV, Kapoor P, Buadi FK, Dingli D, Lacy MQ, Gertz MA, Hayman SR, Leung N, Fonder A, Hobbs M, Hwa YL, Muchtar E, Warsame R, Kourelis TV, Gonsalves WI, Russell S, Lin Y, Siddiqui M, Kyle RA, Dispenzieri A, Kumar SK. Mortality trends in multiple myeloma after the introduction of novel therapies in the United States. Leukemia 2021; 36:801-808. [PMID: 34702976 DOI: 10.1038/s41375-021-01453-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/12/2021] [Accepted: 10/14/2021] [Indexed: 11/09/2022]
Abstract
Advances in the understanding of disease biology, drug development, and supportive care have led to improved outcomes in multiple myeloma. Given that these improvements have been reported in clinical trial and referral center populations, questions remain about the generalizability of this observation to patients treated in the community. Contrasting the overall survival experience of 3783 patients seen at Mayo Clinic and 57,654 patients followed in the Surveillance, Epidemiology, and End Results Program (SEER) between 2004 and 2018, we observed different mortality trends across patient populations and subgroups. Early mortality decreased and estimated 5-year overall survival increased over time in both patient populations. Excess mortality (compared to the general population) declined over time in Mayo Clinic patients and remained largely unchanged in SEER patients. Improvements over time were primarily observed in patients with favorable disease characteristics and older patients with multiple myeloma remain a vulnerable population with significant excess mortality compared to the United States general population. Patients with unfavorable disease characteristics have derived disproportionately less benefit from recent advances in the field. Future efforts need to focus on the development of safe and effective therapies for these patients and on increasing timely access to specialized care for patients in the community.
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Affiliation(s)
- Moritz Binder
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - David Dingli
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Martha Q Lacy
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Morie A Gertz
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - Nelson Leung
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Amie Fonder
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Miriam Hobbs
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Yi Lisa Hwa
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Eli Muchtar
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Rahma Warsame
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Yi Lin
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - Robert A Kyle
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - Shaji K Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
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Hemminki K, Försti A, Houlston R, Sud A. Epidemiology, genetics and treatment of multiple myeloma and precursor diseases. Int J Cancer 2021; 149:1980-1996. [PMID: 34398972 DOI: 10.1002/ijc.33762] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/20/2021] [Accepted: 07/26/2021] [Indexed: 12/17/2022]
Abstract
Multiple myeloma (MM) is a hematological malignancy caused by the clonal expansion of plasma cells. The incidence of MM worldwide is increasing with greater than 140 000 people being diagnosed with MM per year. Whereas 5-year survival after a diagnosis of MM has improved from 28% in 1975 to 56% in 2012, the disease remains essentially incurable. In this review, we summarize our current understanding of MM including its epidemiology, genetics and biology. We will also provide an overview of MM management that has led to improvements in survival, including recent changes to diagnosis and therapies. Areas of unmet need include the management of patients with high-risk MM, those with reduced performance status and those refractory to standard therapies. Ongoing research into the biology and early detection of MM as well as the development of novel therapies, such as immunotherapies, has the potential to influence MM practice in the future.
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Affiliation(s)
- Kari Hemminki
- Biomedical Center, Faculty of Medicine, Charles University in Pilsen, Pilsen, Czech Republic.,Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Asta Försti
- Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany.,Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.,The Department of Haemato-Oncology, The Royal Marsden Hospital NHS Foundation Trust, London, UK
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Auner HW, Gavriatopoulou M, Delimpasi S, Simonova M, Spicka I, Pour L, Dimopoulos MA, Kriachok I, Pylypenko H, Leleu X, Doronin V, Usenko G, Hajek R, Benjamin R, Dolai TK, Sinha DK, Venner CP, Garg M, Stevens DA, Quach H, Jagannath S, Moreau P, Levy M, Badros A, Anderson LD, Bahlis NJ, Facon T, Mateos MV, Cavo M, Chai Y, Arazy M, Shah J, Shacham S, Kauffman MG, Richardson PG, Grosicki S. Effect of age and frailty on the efficacy and tolerability of once-weekly selinexor, bortezomib, and dexamethasone in previously treated multiple myeloma. Am J Hematol 2021; 96:708-718. [PMID: 33755235 DOI: 10.1002/ajh.26172] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 03/16/2021] [Accepted: 03/22/2021] [Indexed: 12/11/2022]
Abstract
Elderly and frail patients with multiple myeloma (MM) are more vulnerable to the toxicity of combination therapies, often resulting in treatment modifications and suboptimal outcomes. The phase 3 BOSTON study showed that once-weekly selinexor and bortezomib with low-dose dexamethasone (XVd) improved PFS and ORR compared with standard twice-weekly bortezomib and moderate-dose dexamethasone (Vd) in patients with previously treated MM. This is a retrospective subgroup analysis of the multicenter, prospective, randomized BOSTON trial. Post hoc analyses were performed to compare XVd versus Vd safety and efficacy according to age and frailty status (<65 and ≥65 years, nonfrail and frail). Patients ≥65 years with XVd had higher ORR (OR 1.77, p = .024), ≥VGPR (OR, 1.68, p = .027), PFS (HR 0.55, p = .002), and improved OS (HR 0.63, p = .030), compared with Vd. In frail patients, XVd was associated with a trend towards better PFS (HR 0.69, p = .08) and OS (HR 0.62, p = .062). Significant improvements were also observed in patients <65 (ORR and TTNT) and nonfrail patients (PFS, ORR, ≥VGPR, and TTNT). Patients treated with XVd had a lower incidence of grade ≥ 2 peripheral neuropathy in ≥65 year-old (22% vs. 37%; p = .0060) and frail patients (15% vs. 44%; p = .0002). Grade ≥3 TEAEs were not observed more often in older compared to younger patients, nor in frail compared to nonfrail patients. XVd is safe and effective in patients <65 and ≥65 and in nonfrail and frail patients with previously treated MM.
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Affiliation(s)
- Holger W. Auner
- The Hugh and Josseline Langmuir Centre for Myeloma Research Imperial College London London UK
| | - Maria Gavriatopoulou
- Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens Athens Greece
| | | | - Maryana Simonova
- Institute of Blood Pathology & Transfusion Medicine of National Academy of Medical Sciences of Ukraine Lviv Ukraine
| | - Ivan Spicka
- Charles University and General Hospital Prague Czech Republic
| | - Ludek Pour
- University Hospital Brno Brno Czech Republic
| | | | | | - Halyna Pylypenko
- Department of Hematology Cherkassy Regional Oncological Center Cherkassy Ukraine
| | - Xavier Leleu
- Department of Hematology CHU la Miletrie and Inserm CIC 1402 Poitiers France
| | - Vadim Doronin
- City Clinical Hospital #40 Moscow Russian Federation
| | - Ganna Usenko
- City Clinical Hospital No. 4 of Dnipro City Council Dnipro Ukraine
| | - Roman Hajek
- Department of Hemato‐oncology University Hospital Ostrava, University of Ostrava Ostrava Czech Republic
| | | | | | - Dinesh Kumar Sinha
- State Cancer Institute, Indira Gandhi Institute of Medical Sciences Patna India
| | | | - Mamta Garg
- University Hospitals of Leicester NHS Trust Leicester UK
| | | | - Hang Quach
- University of Melbourne, St. Vincent's Hospital Melbourne Victoria Australia
| | - Sundar Jagannath
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai New York New York USA
| | | | - Moshe Levy
- Baylor University Medical Center Dallas Texas USA
| | - Ashraf Badros
- University of Maryland, Greenebaum Comprehensive Cancer Center Baltimore Maryland USA
| | - Larry D. Anderson
- Simmons Comprehensive Cancer Center, UT Southwestern Medical Center Dallas Texas USA
| | - Nizar J. Bahlis
- University of Calgary, Charbonneau Cancer Research Institute Calgary Alberta Canada
| | - Thierry Facon
- CHU Lille Service des Maladies du Sang F‐59000 Lille France
| | | | - Michele Cavo
- Seràgnoli Institute of Hematology, Bologna University School of Medicine Bologna Italy
| | - Yi Chai
- Karyopharm Therapeutics Inc. Newton Massachusetts USA
| | - Melina Arazy
- Karyopharm Therapeutics Inc. Newton Massachusetts USA
| | - Jatin Shah
- Karyopharm Therapeutics Inc. Newton Massachusetts USA
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Role of 1q21 in Multiple Myeloma: From Pathogenesis to Possible Therapeutic Targets. Cells 2021; 10:cells10061360. [PMID: 34205916 PMCID: PMC8227721 DOI: 10.3390/cells10061360] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 05/23/2021] [Accepted: 05/28/2021] [Indexed: 12/26/2022] Open
Abstract
Multiple myeloma (MM) is characterized by an accumulation of malignant plasma cells (PCs) in the bone marrow (BM). The amplification of 1q21 is one of the most common cytogenetic abnormalities occurring in around 40% of de novo patients and 70% of relapsed/refractory MM. Patients with this unfavorable cytogenetic abnormality are considered to be high risk with a poor response to standard therapies. The gene(s) driving amplification of the 1q21 amplicon has not been fully studied. A number of clear candidates are under investigation, and some of them (IL6R, ILF2, MCL-1, CKS1B and BCL9) have been recently proposed to be potential drivers of this region. However, much remains to be learned about the biology of the genes driving the disease progression in MM patients with 1q21 amp. Understanding the mechanisms of these genes is important for the development of effective targeted therapeutic approaches to treat these patients for whom effective therapies are currently lacking. In this paper, we review the current knowledge about the pathological features, the mechanism of 1q21 amplification, and the signal pathway of the most relevant candidate genes that have been suggested as possible therapeutic targets for the 1q21 amplicon.
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[Analysis of the clinical characteristics and prognosis of 36 cases of newly diagnosed multiple myeloma patients with bone marrow monoclonal plasma cell ratio of less than 10]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2021; 42:295-301. [PMID: 33979973 PMCID: PMC8120119 DOI: 10.3760/cma.j.issn.0253-2727.2021.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
目的 提高对骨髓单克隆浆细胞比例小于10%的新诊断多发性骨髓瘤(NDMM)患者的认识。 方法 回顾性总结2009年1月至2017年12月北京协和医院36例骨髓浆细胞比例小于10%的NDMM患者的临床特点、实验室检查、治疗反应和预后情况,选择同期诊断的72例骨髓浆细胞比例≥10%的NDMM患者作为对照组,两组患者年龄和性别匹配。 结果 ①在818例NDMM患者中,骨髓浆细胞比例小于10%的患者36例(4.4%),其中国际分期系统(ISS)Ⅲ期11例(30.6%),显著低于对照组患者[45例(62.5%)](P=0.002)。与对照组相比,骨髓浆细胞比例小于10%的患者合并髓外病变比例更高(33.3%对5.6%,P<0.001),血清M蛋白中位值更低[1.04(0~50.10)g/L对4.50(0~63.10)g/L,P=0.016],24 h尿轻链定量中位值更低(510 mg对2800 mg,P=0.023)。②骨髓浆细胞比例小于10%患者与对照组患者一线治疗后中位无进展生存(PFS)时间分别为26.4个月和19.9个月(HR=1.703,95%CI 0.167~0.233,P=0.002),总生存(OS)时间分别为65.8个月和46.2个月(HR=2.626,95%CI 0.439~0.541,P=0.058)。③按照M蛋白水平将研究组分为低肿瘤负荷组和高肿瘤负荷组,中位OS时间分别为66.4个月和24.0个月(HR=2.349,95%CI 0.603~0.696,P=0.046),中位PFS时间分别为33.1个月和15.5个月(HR=1.806,95%CI 0.121~0.399,P=0.077)。硼替佐米治疗对患者的生存结局无影响。 结论 骨髓浆细胞比例小于10%的NDMM患者疾病分期较早,肿瘤负荷较低,尽管合并髓外病变比例更高,一线疗效以及总体预后优于骨髓浆细胞比例≥10%的患者。
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Risk factors in multiple myeloma: is it time for a revision? Blood 2021; 137:16-19. [PMID: 33024991 DOI: 10.1182/blood.2019004309] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 09/11/2020] [Indexed: 12/22/2022] Open
Abstract
Although therapeutic strategies have been adapted to age and comorbidities for a long time, almost all multiple myeloma (MM) patients currently receive similar treatment, whatever their disease risk category. However, high-risk MM patients still constitute an unmet medical need and should benefit from the most efficient drug combinations. Herein, we review and discuss how to optimally define risk and why a revision of the current definition is urgently needed.
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Yan W, Shi H, He T, Chen J, Wang C, Liao A, Yang W, Wang H. Employment of Artificial Intelligence Based on Routine Laboratory Results for the Early Diagnosis of Multiple Myeloma. Front Oncol 2021; 11:608191. [PMID: 33854961 PMCID: PMC8039367 DOI: 10.3389/fonc.2021.608191] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 03/08/2021] [Indexed: 12/26/2022] Open
Abstract
Objective In order to enhance the detection rate of multiple myeloma and execute an early and more precise disease management, an artificial intelligence assistant diagnosis system is developed. Methods 4,187 routine blood and biochemical examination records were collected from Shengjing Hospital affiliated to China Medical University from January 2010 to January 2020, which include 1,741 records of multiple myeloma (MM) and 2,446 records of non-myeloma (infectious diseases, rheumatic immune system diseases, hepatic diseases and renal diseases). The data set was split into training and test subsets with the ratio of 4:1 while connecting hemoglobin, serum creatinine, serum calcium, immunoglobulin (A, G and M), albumin, total protein, and the ratio of albumin to globulin data. An early assistant diagnostic model of MM was established by Gradient Boosting Decision Tree (GBDT), Support Vector Machine (SVM), Deep Neural Networks (DNN), and Random Forest (RF). Out team calculated the precision and recall of the system. The performance of the diagnostic model was evaluated by using the receiver operating characteristic (ROC) curve. Results By designing the features properly, the typical machine learning algorithms SVM, DNN, RF and GBDT all performed well. GBDT had the highest precision (92.9%), recall (90.0%) and F1 score (0.915) for the myeloma group. The maximized area under the ROC (AUROC) was calculated, and the results of GBDT (AUC: 0.975; 95% confidence interval (CI): 0.963–0.986) outperformed that of SVM, DNN and RF. Conclusion The model established by artificial intelligence derived from routine laboratory results can accurately diagnose MM, which can boost the rate of early diagnosis.
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Affiliation(s)
- Wei Yan
- Haematology Department of Shengjing Hospital, China Medical University, Shenyang, China
| | - Hua Shi
- Haematology Department of Shengjing Hospital, China Medical University, Shenyang, China
| | - Tao He
- Neusoft Research Institute, Northeastern University, Shenyang, China
| | - Jian Chen
- Neusoft Research Institute, Northeastern University, Shenyang, China
| | - Chen Wang
- Neusoft Research Institute, Northeastern University, Shenyang, China
| | - Aijun Liao
- Haematology Department of Shengjing Hospital, China Medical University, Shenyang, China
| | - Wei Yang
- Haematology Department of Shengjing Hospital, China Medical University, Shenyang, China
| | - Huihan Wang
- Haematology Department of Shengjing Hospital, China Medical University, Shenyang, China
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Oral ixazomib, lenalidomide, and dexamethasone for transplant-ineligible patients with newly diagnosed multiple myeloma. Blood 2021; 137:3616-3628. [PMID: 33763699 PMCID: PMC8462404 DOI: 10.1182/blood.2020008787] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 02/05/2021] [Indexed: 01/14/2023] Open
Abstract
Addition of ixazomib to Rd in nontransplant NDMM patients resulted in a nonstatistically significant increase in PFS (HR, 0.830; P = .073). Ixazomib-Rd is a feasible and tolerable all-oral triplet regimen in this setting, with a well-characterized and manageable safety profile.
Continuous lenalidomide-dexamethasone (Rd)-based regimens are among the standards of care in transplant-ineligible newly diagnosed multiple myeloma (NDMM) patients. The oral proteasome inhibitor ixazomib is suitable for continuous dosing, with predictable, manageable toxicities. In the double-blind, placebo-controlled TOURMALINE-MM2 trial, transplant-ineligible NDMM patients were randomized to ixazomib 4 mg (n = 351) or placebo (n = 354) plus Rd. After 18 cycles, dexamethasone was discontinued and treatment was continued using reduced-dose ixazomib (3 mg) and lenalidomide (10 mg) until progression/toxicity. The primary endpoint was progression-free survival (PFS). Median PFS was 35.3 vs 21.8 months with ixazomib-Rd vs placebo-Rd, respectively (hazard ratio [HR], 0.830; 95% confidence interval, 0.676-1.018; P = .073; median follow-up, 53.3 and 55.8 months). Complete (26% vs 14%; odds ratio [OR], 2.10; P < .001) and ≥ very good partial response (63% vs 48%; OR, 1.87; P < .001) rates were higher with ixazomib-Rd vs placebo-Rd. In a prespecified high-risk cytogenetics subgroup, median PFS was 23.8 vs 18.0 months (HR, 0.690; P = .019). Overall, treatment-emergent adverse events (TEAEs) were mostly grade 1/2. With ixazomib-Rd vs placebo-Rd, 88% vs 81% of patients experienced grade ≥3 TEAEs, 66% vs 62% serious TEAEs, and 35% vs 27% TEAEs resulting in regimen discontinuation; 8% vs 6% died on study. Addition of ixazomib to Rd was tolerable with no new safety signals and led to a clinically meaningful PFS benefit of 13.5 months. Ixazomib-Rd is a feasible option for certain patients who can benefit from an all-oral triplet combination. This trial was registered at www.clinicaltrials.gov as #NCT01850524.
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36
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Richter J, Ramasamy K, Rasche L, Bladé J, Zweegman S, Davies F, Dimopoulos M. Management of patients with difficult-to-treat multiple myeloma. Future Oncol 2021; 17:2089-2105. [PMID: 33706558 DOI: 10.2217/fon-2020-1280] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Newer treatments for multiple myeloma (MM) have improved response rates and survival for many patients. However, MM remains challenging to treat due to the propensity for multiple relapses, cumulative and emergent toxicities from prior therapies and increasing genomic complexity that arises due to clonal evolution. In particular, patients with relapsed/refractory MM often require increased complexity of treatment, yet still experience poorer outcomes compared with patients who are newly diagnosed. Additionally, several patient subgroups, including those with extramedullary disease and patients who are frail and/or have multiple comorbidities, have an unfavorable prognosis and remain undertreated. This review (based on an Updates-in-Hematology session at the 25th European Hematology Association Annual Congress 2020) discusses the management of these difficult-to-treat patients with MM.
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Affiliation(s)
- Joshua Richter
- Icahn School of Medicine at Mount Sinai Tisch Cancer Institute, NY 10029, USA
| | - Karthik Ramasamy
- Department of Clinical Haematology, Oxford University Hospitals, NHS Foundation Trust, Oxford, OX3 9DU, UK
| | - Leo Rasche
- Department of Internal Medicine II, University Hospital of Würzburg, Würzburg, 97080, Germany
| | - Joan Bladé
- Department of Hematology, Hospital Clinic, Institut de Investigacions Biomediques August Pi I Sunyer (IDIBAPS), Barcelona, 08036, Spain
| | - Sonja Zweegman
- Department of Haematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, 1081 HV, The Netherlands
| | - Faith Davies
- Perlmutter Cancer Center, NYU Langone Health, NY 10016, USA
| | - Meletios Dimopoulos
- Department of Clinical Therapeutics, Hematology & Medical Oncology, National & Kapodistrian University of Athens, School of Medicine, Athens, 157 72, Greece
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Jackson GH, Pawlyn C, Cairns DA, Striha A, Collett C, Waterhouse A, Jones JR, Wilson J, Taylor C, Kishore B, Garg M, Williams CD, Karunanithi K, Lindsay J, Jenner MW, Cook G, Russell NH, Drayson MT, Kaiser MF, Owen RG, Gregory WM, Davies FE, Morgan GJ. Optimising the value of immunomodulatory drugs during induction and maintenance in transplant ineligible patients with newly diagnosed multiple myeloma: results from Myeloma XI, a multicentre, open-label, randomised, Phase III trial. Br J Haematol 2021; 192:853-868. [PMID: 32656799 DOI: 10.1111/bjh.16945] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 06/13/2020] [Indexed: 11/28/2022]
Abstract
Second-generation immunomodulatory agents, such as lenalidomide, have a more favourable side-effect profile than the first-generation thalidomide, but their optimum combination and duration for patients with newly diagnosed transplant-ineligible myeloma (ND-TNE-MM) has not been defined. The most appropriate delivery and dosing regimens of these therapies for patients at advanced age and frailty status is also unclear. The Myeloma XI study compared cyclophosphamide, thalidomide and dexamethasone (CTDa) to cyclophosphamide, lenalidomide and dexamethasone (CRDa) as induction therapy, followed by a maintenance randomisation between ongoing therapy with lenalidomide or observation for patients with ND-TNE-MM. CRDa deepened response but did not improve progression-free (PFS) or overall survival (OS) compared to CTDa. However, analysis by age group highlighted significant differences in tolerability in older, frailer patients that may have limited treatment delivery and impacted outcome. Deeper responses and PFS and OS benefits with CRDa over CTDs were seen in patients aged ≤70 years, with an increase in toxicity and discontinuation observed in older patients. Our results highlight the importance of considering age and frailty in the approach to therapy for patients with ND-TNE-MM, highlighting the need for prospective validation of frailty adapted therapy approaches, which may improve outcomes by tailoring treatment to the individual.
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Affiliation(s)
- Graham H Jackson
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - Charlotte Pawlyn
- The Institute of Cancer Research, London, UK
- The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - David A Cairns
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Alina Striha
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Corinne Collett
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Anna Waterhouse
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - John R Jones
- Kings College Hospital NHS Foundation Trust, London, UK
| | - Jamie Wilson
- Western Sussex Hospitals NHS Foundation Trust, Chichester, UK
| | | | - Bhuvan Kishore
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Mamta Garg
- Leicester Royal Infirmary, Leicester, UK
| | - Cathy D Williams
- Centre for Clinical Haematology, Nottingham University Hospital, Nottingham, UK
| | | | - Jindriska Lindsay
- E1ast Kent Hospitals University NHS Foundation Trust, Canterbury, UK
| | - Matthew W Jenner
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Gordon Cook
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
- Leeds Cancer Centre, University of Leeds, Leeds, UK
| | - Nigel H Russell
- Centre for Clinical Haematology, Nottingham University Hospital, Nottingham, UK
| | - Mark T Drayson
- Clinical Immunology Service, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Martin F Kaiser
- The Institute of Cancer Research, London, UK
- The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Roger G Owen
- Haematological Malignancy Diagnostic Service (HMDS), St James's University Hospital, Leeds, UK
| | - Walter M Gregory
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Faith E Davies
- Perlmutter Cancer Center, NY Langone Health, New York, NY, USA
| | - Gareth J Morgan
- Perlmutter Cancer Center, NY Langone Health, New York, NY, USA
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Caro J, Al Hadidi S, Usmani S, Yee AJ, Raje N, Davies FE. How to Treat High-Risk Myeloma at Diagnosis and Relapse. Am Soc Clin Oncol Educ Book 2021; 41:291-309. [PMID: 34010042 DOI: 10.1200/edbk_320105] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Survival in multiple myeloma has improved greatly during the past 2 decades, but this change has primarily benefited patients who have standard-risk disease. Patients with high-risk disease remain a challenge to diagnose and treat. To improve their clinical outcomes, it is imperative to develop tools to readily identify them and to provide them with the most effective available treatments. The most widely used stratification system, the revised International Staging System, incorporates serum β-2 microglobulin, albumin, lactate dehydrogenase, and high-risk chromosomal abnormalities [del(17p), t(4;14), and t(14;16)]. Recent updates have included mutational status and chromosome 1q abnormalities. Plasma cell leukemia, extramedullary disease, circulating plasma cells, renal failure, and frailty are also associated with poor outcome. The treatment approach for a newly diagnosed patient with high-risk multiple myeloma should include induction therapy, autologous stem cell transplantation if appropriate, and maintenance therapy. Triplet therapy with a proteasome inhibitor, immunomodulatory drug, and steroid, with or without an anti-CD38 antibody, should be considered for induction, along with a proteasome inhibitor and/or immunomodulatory drug for maintenance. Aiming for a deep and sustained response is important. Similar principles apply at relapse, with close monitoring of response, especially extramedullary disease and active management of side effects, so that patients can continue therapy and benefit from treatment. Immune-based therapies, including autologous CAR T-cell-based therapies and bispecific antibodies, show promising activity in relapsed disease and are being actively explored in earlier disease settings. As the prognosis for high-risk disease remains poor, the future goal for this patient group is to develop specific clinical trials to explore novel approaches and therapies efficiently.
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Affiliation(s)
- Jessica Caro
- Perlmutter Cancer Center, NYU Langone Health, New York, NY
| | - Samer Al Hadidi
- Department of Hematology and Oncology, Baylor College of Medicine, Houston, TX
| | - Saad Usmani
- Department of Hematologic Oncology and Blood Disorders, Levine Cancer Institute/Atrium Health, Charlotte, NC
| | - Andrew J Yee
- Center for Multiple Myeloma, Massachusetts General Hospital, Boston, MA
| | - Noopur Raje
- Center for Multiple Myeloma, Massachusetts General Hospital, Boston, MA
| | - Faith E Davies
- Perlmutter Cancer Center, NYU Langone Health, New York, NY
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Kaweme NM, Changwe GJ, Zhou F. Approaches and Challenges in the Management of Multiple Myeloma in the Very Old: Future Treatment Prospects. Front Med (Lausanne) 2021; 8:612696. [PMID: 33718400 PMCID: PMC7947319 DOI: 10.3389/fmed.2021.612696] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 02/03/2021] [Indexed: 12/14/2022] Open
Abstract
The increasing incidence of geriatric patients with multiple myeloma has elevated concerns in clinical practice. While the introduction of novel therapeutic agents has substantially improved outcomes in younger patients with myeloma, poorer outcomes remain in older patients. Managing older patients requires a multidisciplinary team approach to consider factors that may influence both treatment selection and outcomes. Aging is associated with remodeling of vital organs, physiological downregulations of basal metabolism, susceptibility to multiple comorbidities with ultimate frailty, thereby contributing to the underrepresentation and exclusion of very old patients from clinical trials. Therefore, timely confirmation of a precise diagnosis is crucial for prompt initiation of treatment if the desired outcome is to be achieved. Adequate and judicious assessment using comprehensive geriatric assessment tools minimizes toxicities and treatment discontinuation. Initiating treatment with combinational therapy requires knowledge of indications and anticipated outcomes, as well as individualized therapy with appropriate dose-adjustment. Individualized therapy based on good clinical acumen and best practices obverts unwanted polypharmacy, preventing iatrogenic harm. This review will therefore address the approaches and challenges faced in managing myeloma in geriatric patients aged 80 years and older, highlighting recommended therapeutic strategies and future prospective regimens.
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Affiliation(s)
| | | | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital, Wuhan University, Wuhan, China
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Abstract
Multiple myeloma is the second most common haematological malignancy in high-income countries, and typically starts as asymptomatic precursor conditions-either monoclonal gammopathy of undetermined significance or smouldering multiple myeloma-in which initiating genetic abnormalities, such as hyperdiploidy and translocations involving the immunoglobulin heavy chain, are already present. The introduction of immunomodulatory drugs, proteasome inhibitors, and CD38-targeting antibodies has extended survival, but ultimately the majority of patients will die from their disease, and some from treatment-related complications. Disease progression and subsequent relapses are characterised by subclonal evolution and increasingly resistant disease. Patients with multiple myeloma usually have hypercalcaemia, renal failure, anaemia, or osteolytic bone lesions-and a detailed diagnostic investigation is needed to differentiate between symptomatic multiple myeloma that requires treatment, and precursor states. Risk stratification using both patient-specific (eg, performance status) and disease-specific (eg, presence of high-risk cytogenetic abnormalities) is important for prognosis and to define the best treatment strategy. Current research strategies include the use of minimal residual disease assays to guide therapy, refining immunotherapeutic approaches, and intercepting disease early in smouldering multiple myeloma.
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Affiliation(s)
- Niels W C J van de Donk
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Hematology, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Charlotte Pawlyn
- The Institute of Cancer Research, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Kwee L Yong
- University College London Cancer Institute, London, UK.
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Pawlyn C. High-risk myeloma: a challenge to define and to determine the optimal treatment. Lancet Haematol 2021; 8:e4-e6. [PMID: 33357481 DOI: 10.1016/s2352-3026(20)30361-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 11/22/2022]
Affiliation(s)
- Charlotte Pawlyn
- The Institue of Cancer Research, London, UK; The Royal Marsen Hospital NHS Foundation Trust, London, UK.
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Bonello F, Grasso M, D’Agostino M, Celeghini I, Castellino A, Boccadoro M, Bringhen S. The Role of Monoclonal Antibodies in the First-Line Treatment of Transplant-Ineligible Patients with Newly Diagnosed Multiple Myeloma. Pharmaceuticals (Basel) 2020; 14:20. [PMID: 33383757 PMCID: PMC7823261 DOI: 10.3390/ph14010020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/21/2020] [Accepted: 12/24/2020] [Indexed: 12/16/2022] Open
Abstract
Elderly transplant-ineligible (NTE) patients represent the majority of patients affected by multiple myeloma (MM). Elderly patients are a highly heterogeneous population, with large variability in health and functional status. Thus, choosing their optimal treatment is challenging. A wide range of first-line treatments is available, and novel-agent combinations, including monoclonal antibodies (mAbs), have recently entered clinical practice. The combination of the anti-CD38 mAb daratumumab with bortezomib, melphalan and prednisone (Dara-VMP) or lenalidomide and dexamethasone (Dara-Rd) demonstrated impressive advantages in terms of progression-free survival and minimal residual disease negativity, as compared to VMP and Rd, without safety concerns. Another anti-CD38 mAb, isatuximab, is showing encouraging results, and new isatuximab-based combinations might enter clinical practice in the future. Nevertheless, available data come from clinical trials with selected patient populations and, to date, the manageability of these regimens in real-life patients or in frail patients remains unknown. Frailty-tailored treatments, including mAbs, are under evaluation in preliminary studies. In this review, we analyze recently approved mAb-based treatments for NTE newly diagnosed MM patients and new combinations under evaluation, focusing on the efficacy and safety of these regimens and on open issues regarding the choice of therapy for elderly patients.
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Affiliation(s)
- Francesca Bonello
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Mariella Grasso
- S.C. Ematologia, Azienda Ospedaliera Santa Croce-Carle, 88900 Cuneo, Italy
| | - Mattia D’Agostino
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Ivana Celeghini
- S.C. Ematologia, Azienda Ospedaliera Santa Croce-Carle, 88900 Cuneo, Italy
| | - Alessia Castellino
- S.C. Ematologia, Azienda Ospedaliera Santa Croce-Carle, 88900 Cuneo, Italy
| | - Mario Boccadoro
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Sara Bringhen
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
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Grant SJ, Mian HS, Giri S, Boutin M, Dottorini L, Neuendorff NR, Krok-Schoen JL, Nikita N, Rosko AE, Wildes TM, Zweegman S. Transplant-ineligible newly diagnosed multiple myeloma: Current and future approaches to clinical care: A Young International Society of Geriatric Oncology Review Paper. J Geriatr Oncol 2020; 12:499-507. [PMID: 33342724 DOI: 10.1016/j.jgo.2020.12.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 12/02/2020] [Accepted: 12/02/2020] [Indexed: 12/29/2022]
Abstract
Multiple myeloma is the second most common hematological malignancy in the USA and Europe. Despite improvements in the 5-year and overall survival rates over the past decade, older adults (aged ≥65 years) with multiple myeloma continue to experience disproportionately worse outcomes than their younger counterparts. These differences in outcomes arise from the increased prevalence of vulnerabilities such as medical comorbidities and frailty seen with advancing age that can influence treatment-delivery and tolerance and impact survival. In general, geriatric assessments can help identify those patients more likely to benefit from enhanced toxicity risk-prediction and aid treatment decision-making. Despite the observed benefits of geriatric assessments and other screening frailty tools, provider and systems-level barriers continue to influence the overall perception of the feasibility of geriatric assessments in clinical practice settings. Clinical trials are underway evaluating the efficacy and safety of various multiple myeloma therapies in less fit/frail older adults, with a minority examining fitness-based/risk-adapted approaches. Thus, significant gaps exist in knowing which myeloma therapies are most appropriate for older and more vulnerable adults with multiple myeloma. The purpose of this Review is to discuss how geriatric assessments can be used to guide the management of transplant-ineligible patients; and to highlight frontline therapies for standard-risk and high-risk cytogenetic abnormalities [i.e., t(4;14), t(14;16), and del(17p)] associated with multiple myeloma. We also discuss the current shortcomings of the existing clinical approaches to care and highlight ongoing clinical trials evaluating newer fitness-based approaches to managing transplant-ineligible patients.
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Affiliation(s)
- Shakira J Grant
- Division of Hematology-Oncology, University of Washington-Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Hira S Mian
- Department of Oncology, McMaster University, Ontario, Canada
| | - Smith Giri
- Division of Hematology-Oncology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Melina Boutin
- Department of Hemato-Oncology, Université of Sherbrooke, Québec, Canada
| | - Lorenzo Dottorini
- Oncology Unit, Medical Sciences Department, ASST Bergamo Est, Alzano Lombardo, Bergamo, Italy
| | - Nina R Neuendorff
- Department of Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany
| | - Jessica L Krok-Schoen
- School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Nikita Nikita
- Department of Medical Oncology, Sidney Kimmel Cancer Center at Jefferson, Sidney Kimmel Medical College, Philadelphia, PA, USA
| | - Ashley E Rosko
- Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA
| | - Tanya M Wildes
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Sonja Zweegman
- Department of Hematology, Amsterdam UMC, VU University Amsterdam, Cancer Center Amsterdam, Amsterdam, Netherlands
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Locher M, Steurer M, Jukic E, Keller MA, Fresser F, Ruepp C, Wöll E, Verdorfer I, Gastl G, Willenbacher W, Weger R, Nachbaur D, Wolf D, Gunsilius E, Zschocke J, Steiner N. The prognostic value of additional copies of 1q21 in multiple myeloma depends on the primary genetic event. Am J Hematol 2020; 95:1562-1571. [PMID: 32936982 PMCID: PMC7756645 DOI: 10.1002/ajh.25994] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 09/02/2020] [Accepted: 09/04/2020] [Indexed: 12/19/2022]
Abstract
Hyperdiploidy (HRD) and specific immunoglobulin heavy locus (IGH) translocations are primary chromosomal abnormalities (CA) in multiple myeloma (MM). In this retrospective study of 794 MM patients we aimed to investigate clinical features and common CA including gain(1q) in separate subgroups defined by primary CA. In the entire group, we confirmed that gain(1q) was associated with short time to next treatment and adverse overall survival (OS). The impact was worse for four or more copies of 1q21 as compared to three copies. However, in a subgroup of patients with clonal gain(11q) and without known primary IGH translocations (CG11q), already three copies of 1q21 were associated with a poor outcome; in the absence of gain(1q), patients in this subgroup had a remarkably long median OS of more than nine years. These cases were associated with HRD, coexpression of CD56 and CD117, male gender, and IgG subtype. In non‐CG11q patients, four or more copies of 1q21 (but not three copies) had a significant adverse impact on outcome. Several associations with CA and clinical findings were observed for the defined subgroups. As an example, we found a predominance of early tetraploidy, plasma cell leukemia, and female gender in the t(14;16) subgroup. Our results underscore the importance of subgrouping in MM.
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Affiliation(s)
- Maurus Locher
- Institute of Human Genetics Medical University of Innsbruck Innsbruck Austria
| | - Michael Steurer
- Department of Internal Medicine V Medical University of Innsbruck Innsbruck Austria
| | - Emina Jukic
- Institute of Human Genetics Medical University of Innsbruck Innsbruck Austria
| | - Markus A. Keller
- Institute of Human Genetics Medical University of Innsbruck Innsbruck Austria
| | - Friedrich Fresser
- Institute of Human Genetics Medical University of Innsbruck Innsbruck Austria
| | - Carmen Ruepp
- Department of Internal Medicine St. Vinzenz Krankenhaus Betriebs GmbH Zams Austria
| | - Ewald Wöll
- Department of Internal Medicine St. Vinzenz Krankenhaus Betriebs GmbH Zams Austria
| | - Irmgard Verdorfer
- Institute of Human Genetics Medical University of Innsbruck Innsbruck Austria
| | - Günther Gastl
- Department of Internal Medicine V Medical University of Innsbruck Innsbruck Austria
| | - Wolfgang Willenbacher
- Department of Internal Medicine V Medical University of Innsbruck Innsbruck Austria
- ONCOTYROL ‐ Center for Personalized Cancer Medicine Innsbruck Austria
| | - Roman Weger
- ONCOTYROL ‐ Center for Personalized Cancer Medicine Innsbruck Austria
| | - David Nachbaur
- Department of Internal Medicine V Medical University of Innsbruck Innsbruck Austria
| | - Dominik Wolf
- Department of Internal Medicine V Medical University of Innsbruck Innsbruck Austria
- Medical Clinic 3, Oncology, Hematology, Immuno‐Oncology and Rheumatology University Hospital Bonn Bonn Germany
| | - Eberhard Gunsilius
- Department of Internal Medicine V Medical University of Innsbruck Innsbruck Austria
| | - Johannes Zschocke
- Institute of Human Genetics Medical University of Innsbruck Innsbruck Austria
| | - Normann Steiner
- Department of Internal Medicine V Medical University of Innsbruck Innsbruck Austria
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Risk and Response-Adapted Treatment in Multiple Myeloma. Cancers (Basel) 2020; 12:cancers12123497. [PMID: 33255368 PMCID: PMC7760158 DOI: 10.3390/cancers12123497] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/19/2020] [Accepted: 11/22/2020] [Indexed: 12/28/2022] Open
Abstract
Simple Summary Therapeutic strategies in multiple myeloma have been adapted only to age and comorbidities for a long time. Given the currently available therapeutic and technologic arsenal, the time may have come to refine this adaptation. First, high-risk patients should benefit from the most intensive and efficient combinations from diagnosis. Here, we review these different strategies and how to define and identify high-risk myeloma patients in current clinical practice. In addition, the advent of technologies detecting minimal residual disease gives us this opportunity to define the quality of response to treatment with an unpreceded sensitivity and adapt treatment accordingly. Finally, even if molecular targeting is still nascent in myeloma, some molecular features are interesting to detect at relapse to determine optimal salvage treatments. Abstract Myeloma therapeutic strategies have been adapted to patients’ age and comorbidities for a long time. However, although cytogenetics and clinical presentations (plasmablastic cytology; extramedullary disease) are major prognostic factors, until recently, all patients received the same treatment whatever their initial risk. No strong evidence allows us to use a personalized treatment according to one cytogenetic abnormality in newly diagnosed myeloma. Retrospective studies showed a benefit of a double autologous transplant in high-risk cytogenetics according to the International Myeloma Working Group definition (t(4;14), t(14;16) or del(17p)). Moreover, this definition has to be updated since other independent abnormalities, namely gain 1q, del(1p32), and trisomies 5 or 21, as well as TP53 mutations, are also prognostic. Another very strong predictive tool is the response to treatment assessed by the evaluation of minimal residual disease (MRD). We are convinced that the time has come to use it to adapt the strategy to a dynamic risk. Many trials are ongoing to answer many questions: when and how should we adapt the therapy, its intensity and duration. Nevertheless, we also have to take into account the clinical outcome for one patient, especially adverse events affecting his or her quality of life and his or her preferences for continuous/fixed duration treatment.
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Diagnostic and Therapeutic Challenges in the Management of Intermediate and Frail Elderly Multiple Myeloma Patients. Cancers (Basel) 2020; 12:cancers12113106. [PMID: 33114320 PMCID: PMC7690866 DOI: 10.3390/cancers12113106] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/20/2020] [Accepted: 10/21/2020] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Choosing the optimal therapy for elderly patients with multiple myeloma (MM) poses a difficult challenge for clinicians. Older patients are an extremely heterogeneous population, they are underrepresented in clinical trials, and data on octogenarians have been mainly limited to real-life settings. Treatment options for intermediate and frail patients might include dose-adapted combinations and less toxic combinations based on novel agents. Moreover, the discriminative power of the International Myeloma Working Group (IMWG) frailty score in detecting frailty and vulnerability could be improved by combining together aging-related factors (performance status, comorbidities, functional status) with disease-related factors (International Staging System stage, cytogenetic risk). Objective parameters could improve the reproducibility of this score and limit the subjectivity determined by patient-reported questionnaires on functional evaluations. Efforts are ongoing to simplify the IMWG frailty score and expand its use in real-life clinical practice. Abstract Multiple myeloma (MM) mostly affects elderly patients, which represent a highly heterogeneous population. Indeed, comorbidities, frailty status and functional reserve may vary considerably among patients with similar chronological age. For this reason, the choice of treatment goals and intensity is particularly challenging in elderly patients, and it requires a multidimensional evaluation of the patients and the disease. In recent years, different tools to detect patient frailty have been developed, and the International Myeloma Working Group frailty score currently represents the gold standard. It identifies intermediate-fit and frail patients requiring gentler treatment approaches compared to fit patients, aiming to preserve quality of life and prevent toxicities. This subset of patients is underrepresented in clinical trials, and studies exploring frailty-adapted approaches are scarce, making the choice of therapy extremely challenging. Treatment options for intermediate-fit and frail patients might include dose-adapted combinations, doublets, and less toxic combinations based on novel agents. This review analyzes the available tools for the assessment of frailty and possible strategies to improve the discriminative power of the scores and expand their use in real-life and clinical trial settings. Moreover, it addresses the main therapeutic challenges in the management of intermediate-fit and frail MM patients at diagnosis and at relapse.
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Mian HS, Seow H, Wildes TM, Kouroukis CT, Pond GR, Sivapathasundaram B, Sussman J. Disparities in treatment patterns and outcomes among younger and older adults with newly diagnosed multiple myeloma: A population-based study. J Geriatr Oncol 2020; 12:508-514. [PMID: 33109484 DOI: 10.1016/j.jgo.2020.10.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 10/13/2020] [Accepted: 10/16/2020] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Multiple myeloma, a cancer of older adults, has seen significant improvement in therapeutic options over the past two decades. Uncovering disparities in treatment patterns and outcomes is imperative in order to ensure older adults, who are underrepresented in clinical trials, are benefitting from these advances. METHODS Adults with newly diagnosed multiple myeloma (NDMM) were identified using linked provincial administrative databases between 2007 and 2017 in Ontario, Canada. Trends in rate of no treatment, novel drug and autologous stem cell transplant (ASCT) usage was evaluated within one year following diagnosis along with the associated early mortality (<12 months) for the aforementioned cohorts among younger (≤65 years) and older adults (>65 years) with NDMM. RESULTS A total of 8841 adults with NDMM were identified. Rates of no treatment decreased in both age groups during the study period; however still remain considerably high among older patients (from 34.9% in 2007 to 27.4% in 2017) with high associated early mortality in the older untreated group (54.1% 1 yr mortality over study period). Despite increased usage of novel drugs in both age groups, early mortality decreased among younger patients utilizing novel drugs (16.1% to 5.6%) but remained high and stagnant in older patients using novel drugs (18.2% 1 yr mortality over study period). ASCT utilization increased in both age groups during the study period with decreasing early mortality among older patients undergoing ASCT (from 26.3% in 2007 to 1.1% in 2017). CONCLUSION While several improvements have been made, rates of no treatment and early mortality among patients not treated and those started on novel drugs remains a concern in older adults with NDMM.
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Affiliation(s)
- Hira S Mian
- Juravinski Cancer Center, Department of Oncology, McMaster University, Hamilton, ON, Canada.
| | - Hsien Seow
- Juravinski Cancer Center, Department of Oncology, McMaster University, Hamilton, ON, Canada
| | - Tanya M Wildes
- Washington University School of Medicine, St. Louis, MO, United States of America
| | - C Tom Kouroukis
- Juravinski Cancer Center, Department of Oncology, McMaster University, Hamilton, ON, Canada
| | - Gregory R Pond
- Juravinski Cancer Center, Department of Oncology, McMaster University, Hamilton, ON, Canada
| | | | - Jonathan Sussman
- Juravinski Cancer Center, Department of Oncology, McMaster University, Hamilton, ON, Canada
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Balitsky AK, Karkar A, McCurdy A, Rochwerg B, Mian HS. Maintenance therapy in transplant ineligible adults with newly-diagnosed multiple myeloma: A systematic review and meta-analysis. Eur J Haematol 2020; 105:626-634. [PMID: 32710492 DOI: 10.1111/ejh.13496] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/15/2020] [Accepted: 07/20/2020] [Indexed: 01/20/2023]
Abstract
BACKGROUND The role of maintenance therapy in transplant ineligible multiple myeloma (MM) patients following a period of fixed duration induction therapy remains unclear. OBJECTIVES We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) examining maintenance therapy compared to observation. METHODS We conducted a comprehensive search including MEDLINE, Embase, and the Cochrane database up to February 28, 2020, for RCTs comparing maintenance therapy to observation in newly diagnosed transplant ineligible MM patients. Two authors independently screened studies for eligibility, extracted data, and assessed risk of bias. We performed meta-analyses using a random-effects model and assessed certainty using GRADE methodology. MAIN RESULTS We included five RCTs with a total of 1139 patients. Patients receiving maintenance therapy had improved progression-free survival (PFS) compared to observation (Hazard ratio [HR] 0.48, 95% confidence interval [CI] 0.38 to 0.62, high certainty); however, there was no difference in overall survival (HR 0.96, 95% CI 0.76-1.2, moderate certainty). Adverse events were higher in the maintenance group compared to observation (very low to moderate certainty). CONCLUSION Maintenance therapy increases PFS in transplant ineligible MM patients following a fixed period of induction therapy; however, this must be weighed against the increased risk of adverse events.
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Affiliation(s)
- Amaris K Balitsky
- Division of Malignant Hematology, Department of Oncology, Juravinski Cancer Centre, McMaster University, Hamilton, ON, Canada
| | - Aram Karkar
- Division of Internal Medicine, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Arleigh McCurdy
- Division of Hematology, Department of Medicine, The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
| | - Bram Rochwerg
- Division of Critical Care, Department of Medicine, McMaster University, Hamilton, ON, Canada.,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Hira S Mian
- Division of Malignant Hematology, Department of Oncology, Juravinski Cancer Centre, McMaster University, Hamilton, ON, Canada
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Fotiou D, Ntanasis-Stathopoulos I, Gavriatopoulou M, Dimopoulos MA. Multiple myeloma: Current and future management in the aging population. Maturitas 2020; 138:8-13. [DOI: 10.1016/j.maturitas.2020.04.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 04/20/2020] [Accepted: 04/24/2020] [Indexed: 12/11/2022]
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Defining the vulnerable patient with myeloma-a frailty position paper of the European Myeloma Network. Leukemia 2020; 34:2285-2294. [PMID: 32555295 DOI: 10.1038/s41375-020-0918-6] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 06/04/2020] [Accepted: 06/08/2020] [Indexed: 12/20/2022]
Abstract
As the treatment landscape continues to evolve towards the application of precision medicine in multiple myeloma (MM), there is a clear need to identify those patients who are at risk of not achieving the maximum benefit whilst exposed to the highest level of toxicity. This group of patients, defined as frail, is an unmet clinical need. However, how we define such a vulnerable group of patients with MM remains to be clarified. An integral aspect of this is to define the physiological age and capacity of patients with MM to deal with the burden of their disease and it's treatment. Such assessments may include not only functional and clinical assessments but also laboratory-based biomarkers of frailty, aging and senescent cellular burden. A need to develop, test and validate clinical screening scores before their adoption into clinical practice is mandated. This position paper from the European Myeloma Network aims to review what is known about defining frailty in MM, and how we can advance this knowledge for the design of clinical trials and ultimately how we deliver treatment in the clinic.
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