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Martinez-Lopez J, Lopez-Muñoz N, Chari A, Dorado S, Barrio S, Arora S, Kumar A, Chung A, Martin T, Wolf J. Measurable residual disease (MRD) dynamics in multiple myeloma and the influence of clonal diversity analyzed by artificial intelligence. Blood Cancer J 2024; 14:131. [PMID: 39112458 PMCID: PMC11306767 DOI: 10.1038/s41408-024-01102-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 07/08/2024] [Accepted: 07/11/2024] [Indexed: 08/10/2024] Open
Abstract
Minimal residual disease (MRD) assessment is a known surrogate marker for survival in multiple myeloma (MM). Here, we present a single institution's experience assessing MRD by NGS of Ig genes and the long-term impact of depth of response as well as clonal diversity on the clinical outcome of a large population of MM patients; 482 MM patients at the University of California, San Francisco (UCSF) diagnosed from 2008 to 2020 were analyzed retrospectively. MRD assessment was performed by NGS. PFS curves were plotted by the Kaplan-Meier method. In the newly diagnosed group, 119 of 304, achieved MRD negativity at the level of 10-6 at least once. These patients had a prolonged PFS versus patients who were persistently MRD positive at different levels (p > 0.0001). In the relapsed disease group, 64 of 178 achieved MRD negativity at 10-6, and PFS was prolonged versus patients who remained MRD positive (p = 0.03). Three categories of MRD dynamics were defined by artificial intelligence: (A) patients with ≥3 consistently MRD negative samples, (B) patients with continuously declining but detectable clones, and (C) patients with either increasing or a stable number of clones. Groups A and B had a more prolonged PFS than group C (p < 10-7). Patients who were MRD positive and had not yet relapsed had a higher clonal diversity than those patients who were MRD positive and had relapsed. MRD dynamics can accurately predict disease evolution and drive clinical decision-making. Clonal Diversity could complement MRD assessment in the prediction of outcomes in MM.
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Affiliation(s)
- J Martinez-Lopez
- Hematology Department, Hospital 12 de Octubre, Complutense University, CNIO, Madrid, Spain.
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
| | - N Lopez-Muñoz
- Hematology Department, Hospital 12 de Octubre, Complutense University, CNIO, Madrid, Spain
| | - A Chari
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - S Dorado
- Medical Department, Altum Sequencing, Madrid, Spain
| | - S Barrio
- Hematology Department, Hospital 12 de Octubre, Complutense University, CNIO, Madrid, Spain
| | - S Arora
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - A Kumar
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - A Chung
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - T Martin
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - J Wolf
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
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Yan W, Shi L, Xu J, Li L, Cui J, Liu Y, Zhou J, Du C, Yu T, Zhang S, Lv R, Sui W, Deng S, Li X, Du X, Xu Y, Zou D, Qiu L, Hao M, An G. Clinical implications of residual normal plasma cells within bone marrow across various disease stages in multiple myeloma. Leukemia 2024:10.1038/s41375-024-02366-9. [PMID: 39095502 DOI: 10.1038/s41375-024-02366-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Revised: 07/22/2024] [Accepted: 07/25/2024] [Indexed: 08/04/2024]
Abstract
Residual normal plasma cells (NPCs), which compete with tumor plasma cells, play an important role in multiple myeloma. However, large-scale cohort studies investigating residual NPCs, especially at the minimal residual disease (MRD) phase, are currently lacking. In this study, we conducted a comprehensive investigation into the clinical significance of residual NPCs throughout the entire disease course in 1363 myeloma patients from the NICHE cohort (NCT04645199). Our results revealed that myeloma patients with high baseline NPCs ratio (≥5%) exhibited distinct indolent features, characterized by lower tumor burden, reduced frequencies of cytopenia, immunoparesis, and high-risk cytogenetics. Importantly, high residual NPCs ratio at diagnosis or relapse was independently associated with favorable survival. High absolute percentages of NPCs at undetectable MRD were related with superior clinical benefit and immune reconstitution. At MRD-positive phases, grouping based on NPCs ratio (<50%, 50-90%, ≥90%) demonstrated better risk stratification compared to residual tumor log levels. Based on the time-dependent NPCs ratio trend, we developed a dynamic MRD model that classifies patients into three groups with diverse longitudinal trends, leading to distinct prognoses. Collectively, residual NPCs serves not only as a valuable complementary biomarker for risk stratification but also provides valuable insights on reclassifications and kinetics of MRD.
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Affiliation(s)
- Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lihui Shi
- 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, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jian Cui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yuntong Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jieqiong Zhou
- 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, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Tengteng Yu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shuaishuai Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Rui Lv
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, 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, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Xiaoqing Li
- Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xin Du
- Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 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, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
- Beijing GoBroad Boren Hospital, Beijing, 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, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
- Beijing GoBroad Boren Hospital, Beijing, China.
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Meseha M, Hoffman J, Kazandjian D, Landgren O, Diamond B. Minimal Residual Disease-Adapted Therapy in Multiple Myeloma: Current Evidence and Opinions. Curr Oncol Rep 2024; 26:679-690. [PMID: 38676789 PMCID: PMC11169024 DOI: 10.1007/s11912-024-01537-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/13/2024] [Indexed: 04/29/2024]
Abstract
PURPOSE OF REVIEW Multiple myeloma (MM) is a biologically heterogeneous malignancy with relatively uniform treatment paradigms. This review aims to assess the growing role of Minimal Residual Disease (MRD) assessment in facilitating response-adapted therapeutic decision making to individualize therapy in MM. RECENT FINDINGS MRD has been repeatedly demonstrated to provide strong prognostic information, superseding traditional IMWG response criteria. The use of MRD to modulate therapy remains controversial. Here, we review the existing landscape of MRD-adapted trial designs in both induction/consolidation and maintenance settings, including recent data from influential studies and retrospective analyses. We navigate existing data, leverage the increased resolution of longitudinal MRD assessments, and comment on trials in progress to explain our current utilization of MRD in the clinic. MRD transcends traditional response assessments by providing a window into disease-treatment interaction over time. As a strong patient-level surrogate, MRD has limited current use in individualizing treatment, but is poised to comprehensively shape treatment strategies at many key points in a patient's MM course.
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Affiliation(s)
- Mina Meseha
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA
| | - James Hoffman
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA
| | - Dickran Kazandjian
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA
| | - Ola Landgren
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA
| | - Benjamin Diamond
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA.
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Papadimitriou M, Ahn S, Diamond B, Lee H, McIntyre J, Truger M, Durante M, Ziccheddu B, Landgren O, Rasche L, Bahlis NJ, Neri P, Maura F. Timing antigenic escape in multiple myeloma treated with T-cell redirecting immunotherapies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.22.595383. [PMID: 38826396 PMCID: PMC11142165 DOI: 10.1101/2024.05.22.595383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Recent data highlight genomic events driving antigen escape as a recurring cause of chimeric antigen receptor T-cell (CAR-T) and bispecific T-cell engager (TCE) resistance in multiple myeloma (MM). Yet, it remains unclear if these events, leading to clonal dominance at progression, result from acquisition under treatment selection or selection of pre-existing undetectable clones. This differentiation gains importance as these immunotherapies progress to earlier lines of treatment, prompting the need for innovative diagnostic testing to detect these events early on. By reconstructing phylogenetic trees and exploring chemotherapy mutational signatures as temporal barcodes in 11 relapsed refractory MM patients with available whole genome sequencing data before and after CART/TCE treatment, we demonstrated that somatic antigen escape mechanisms for BCMA- and GPRC5D-targeting therapies are acquired post-diagnosis, likely during CART/TCE treatment. Longitudinal tracking of these mutations using digital PCR in 4 patients consistently showed that genomic events promoting antigen escape were not detectable during the initial months of therapy but began to emerge nearly 1 year post therapy initiation. This finding reduces the necessity for a diagnostic panel to identify these events before CART/TCE. Instead, it underscores the importance of surveillance and identifying patients at higher risk of acquiring these events.
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Affiliation(s)
- Marios Papadimitriou
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Sungwoo Ahn
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Alberta, Canada
| | - Benjamin Diamond
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Holly Lee
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Alberta, Canada
| | - John McIntyre
- Precision Oncology Hub Laboratory, Tom Baker Cancer Centre, Calgary, Alberta, Canada
| | | | - Michael Durante
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Bachisio Ziccheddu
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Ola Landgren
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Leo Rasche
- Department of Internal Medicine, University Hospital of Wu rzburg, Wu rzburg, Germany
| | - Nizar J. Bahlis
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Alberta, Canada
| | - Paola Neri
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Alberta, Canada
| | - Francesco Maura
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
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5
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Pasvolsky O, Wang Z, Milton DR, Tanner MR, Bashir Q, Srour S, Saini N, Lin P, Ramdial J, Nieto Y, Tang G, Kebriaei P, Aljawai Y, Khan HN, Lee HC, Ye C, Patel KK, Thomas SK, Orlowski RZ, Shpall EJ, Champlin RE, Qazilbash MH. Multiple myeloma patients with a long remission after autologous hematopoietic stem cell transplantation. Blood Cancer J 2024; 14:82. [PMID: 38760362 PMCID: PMC11101444 DOI: 10.1038/s41408-024-01062-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/23/2024] [Accepted: 04/25/2024] [Indexed: 05/19/2024] Open
Abstract
Autologous stem cell transplantation (autoHCT) is considered standard of care for newly diagnosed multiple myeloma (MM). Although most patients eventually progress after autoHCT, a small proportion achieve a durable response. In this retrospective study we included 1576 patients, 244 (15%) of whom were long-term responders (LTR), defined as having a progression-free survival (PFS) of ≥8 years after transplant. Patients in the LTR group were younger than the non-LTR group (median age 58.4 vs. 59.5 years; p = 0.012), less likely to have high-risk cytogenetics (4% vs. 14%; p < 0.001), more often had <50% bone marrow plasma cells (67% vs. 58%; p = 0.018) and R-ISS stage I disease (43% vs. 34%). More patients in the LTR group received post-transplant maintenance (63% vs. 52%; p = 0.002). Patients in the LTR group had higher rates of complete response (CR) at day100 (41% vs. 27%; p < 0.001) and at best post-transplant response (70% vs. 37%; p < 0.001), compared to the non-LTR group. Patients in the LTR groups had a median PFS of 169.3 months and the median overall survival (OS) had not been reached. The leading cause of death in the LTR was disease progression. In conclusion, 15% of patients in the cohort were LTR after upfront autoHCT, with distinct characteristics and a median PFS of more than 14 years.
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Affiliation(s)
- Oren Pasvolsky
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zhongya Wang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Denái R Milton
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mark R Tanner
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Qaiser Bashir
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Samer Srour
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Neeraj Saini
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul Lin
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeremy Ramdial
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yago Nieto
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guilin Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Partow Kebriaei
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yosra Aljawai
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hina N Khan
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Hematology/Oncology, McGovern Medical School, The University of Texas, Health Sciences Center at Houston, Houston, TX, USA
| | - Hans C Lee
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christine Ye
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Krina K Patel
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sheeba K Thomas
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert Z Orlowski
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elizabeth J Shpall
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Richard E Champlin
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Muzaffar H Qazilbash
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Pasvolsky O, Pasyar S, Bassett RL, Khan HN, Tanner MR, Bashir Q, Srour S, Saini N, Lin P, Ramdial J, Nieto Y, Lee HC, Patel KK, Kebriaei P, Thomas SK, Weber DM, Orlowski RZ, Shpall EJ, Champlin RE, Qazilbash MH. Impact of pretransplant minimal residual disease in patients with multiple myeloma and a very good partial response or better receiving autologous hematopoietic stem cell transplantation. Cancer 2024; 130:1663-1672. [PMID: 38127583 PMCID: PMC11009063 DOI: 10.1002/cncr.35171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/20/2023] [Accepted: 10/13/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The prognostic significance of minimal residual disease (MRD) status before autologous hematopoietic stem cell transplantation (autoHCT) in patients with multiple myeloma (MM) has not been clearly elucidated. METHODS Retrospective single-center study of adult MM patients who achieved ≥very good partial response (VGPR) after induction therapy from 2015 to 2021 received upfront autoHCT and had available pretransplant MRD status by next-generation flow cytometry. The cohort was divided into pretransplant MRD-negative (MRDneg) and MRD-positive (MRDpos) groups. RESULTS A total of 733 patients were included in our analysis; 425 were MRDneg and 308 MRDpos at autoHCT. In the MRDpos group, more patients had high-risk cytogenetic abnormalities (48% vs. 38%, respectively; p = .025), whereas fewer patients achieved ≥CR before autoHCT (14% vs. 40%; p < .001). At day 100 after autoHCT, 37% of the MRDpos versus 71% of the MRDneg achieved ≥CR, and at best posttransplant response 65% versus 88% achieved ≥CR, respectively. After a median follow-up of 27.6 months (range, 0.7-82.3), the median PFS was significantly shorter for patients in the MRDpos group compared to the MRDneg group: 48.2 months (95% confidence interval [CI], 0.3-80.5) versus 80.1 months (95% CI, 0.5-80.1), respectively (p < .001). There was no significant difference in overall survival between the two groups (p = .41). Pretransplant MRDpos status was predictive of shorter PFS in multivariate analysis (hazard ratio, 1.80; 95% CI, 1.31-2.46; p < .001). The impact of pretransplant MRD status was retained in most of the examined subgroups. CONCLUSIONS In patients achieving ≥VGPR to induction, pretransplant MRDpos status was associated with a lower CR rate after autoHCT and a shorter PFS.
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Affiliation(s)
- Oren Pasvolsky
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Institute of Hematology, Davidoff Cancer Center, Rabin Medical Center, Petah-Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sarah Pasyar
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Roland L. Bassett
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hina N. Khan
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Hematology/Oncology, McGovern Medical School, The University of Texas Health Sciences Center at Houston, Houston, Texas
| | - Mark R. Tanner
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Qaiser Bashir
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Samer Srour
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Neeraj Saini
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Paul Lin
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeremy Ramdial
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yago Nieto
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hans C. Lee
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Krina K. Patel
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Partow Kebriaei
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sheeba K. Thomas
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Donna M. Weber
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Robert Z. Orlowski
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Elizabeth J. Shpall
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Richard E. Champlin
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Muzaffar H. Qazilbash
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
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7
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Derman BA, Fonseca R. Measurable Residual Disease and Decision-Making in Multiple Myeloma. Hematol Oncol Clin North Am 2024; 38:477-495. [PMID: 38184470 DOI: 10.1016/j.hoc.2023.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2024]
Abstract
Measurable (minimal) residual disease (MRD) has already proven to be one of the most important prognostic factors in multiple myeloma (MM). Each improvement in the depth of MRD testing has led to superior discrimination of outcomes, and sustained MRD negativity seems to be paramount to durable responses. Peripheral blood assays to assess for MRD are still under investigation but hold promise as complementary tools to bone marrow MRD assays such as next-generation sequencing and flow cytometry. Herein, the authors explore the evidence and potential benefits and drawbacks of MRD-adapted clinical decision-making in MM.
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Affiliation(s)
- Benjamin A Derman
- Section of Hematology/Oncology, University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637, USA.
| | - Rafael Fonseca
- Division of Hematology and Medical Oncology, Mayo Clinic in Arizona, 13400 East Shea Boulevard, MCCRB 3-001, Phoenix, AZ 85259, USA
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8
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Fan H, Wang B, Shi L, Pan N, Yan W, Xu J, Gong L, Li L, Liu Y, Du C, Cui J, Zhu G, Deng S, Sui W, Xu Y, Yi S, Hao M, Zou D, Chen X, Qiu L, An G. Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM). Clin Cancer Res 2024; 30:1131-1142. [PMID: 38170583 PMCID: PMC10940853 DOI: 10.1158/1078-0432.ccr-23-2767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/10/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024]
Abstract
PURPOSE We investigated both the clinical utilities and the prognostic impacts of the clonotypic peptide mass spectrometry (MS)-EasyM, a blood-based minimal residual disease (MRD) monitoring protocol in multiple myeloma. EXPERIMENTAL DESIGN A total of 447 sequential serum samples from 56 patients with multiple myeloma were analyzed using EasyM. Patient-specific M-protein peptides were sequenced from diagnostic samples; sequential samples were quantified by EasyM to monitor the M-protein. The performance of EasyM was compared with serum immunofixation electrophoresis (IFE), bone marrow multiparameter flow cytometry (MFC), and next-generation flow cytometry (NGF) detection. The optimal balance of EasyM sensitivity/specificity versus NGF (10-5 sensitivity) was determined and the prognostic impact of MS-MRD status was investigated. RESULTS Of the 447 serum samples detected and measured by EasyM, 397, 126, and 92 had time-matching results for comparison with serum IFE, MFC-MRD, and NGF-MRD, respectively. Using a dotp >0.9 as the MS-MRD positive, sensitivity was 99.6% versus IFE and 100.0% versus MFC and NGF. Using an MS negative cutoff informed by ROC analysis (<1.86% of that at diagnosis), EasyM sensitivity remained high versus IFE (88.3%), MFC (85.1%), and NGF (93.2%), whereas specificity increased to 90.4%, 55.8%, and 93.2%, respectively. In the multivariate analysis, older diagnostic age was an independent predictor for progression-free survival [PFS; high risk (HR), 3.15; 1.26-7.86], the best MS-MRD status (MS-MRD negative) was independent predictor for both PFS (HR, 0.25; 0.12-0.52) and overall survival (HR, 0.16; 0.06-0.40). CONCLUSIONS EasyM is a highly sensitive and minimal invasive method of MRD monitoring in multiple myeloma; MS-MRD had significant predictive ability for survival outcomes.
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Affiliation(s)
- Huishou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Bing Wang
- Shanghai Kuaixu Biotechnology Co., Ltd., Shanghai, China
| | - Lihui Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Ni Pan
- Shanghai Kuaixu Biotechnology Co., Ltd., Shanghai, China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lixin Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yuntong Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jian Cui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiequn Chen
- Department of Hematology, Affiliated Hospital of Northwest University, Institute of Hematology, Northwest University, Xian, Shaanxi, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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9
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Suzuki K, Gunji T, Kawashima M, Uryu H, Nagao R, Momoki M, Yokoyama H, Ishii H, Tanoue S, Saito T, Nishiwaki K, Yano S. Contribution of post-transplantation therapy to sustained MRD negativity in multiple myeloma: a retrospective analysis. Int J Hematol 2024; 119:39-49. [PMID: 38103160 DOI: 10.1007/s12185-023-03682-z] [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: 07/25/2023] [Revised: 11/07/2023] [Accepted: 11/16/2023] [Indexed: 12/17/2023]
Abstract
Post-transplantation therapy is commonly performed in patients with myeloma and can prolong progression-free survival (PFS). However, whether post-transplantation therapy contributes to achieving and continuing MRD-negativity remains controversial. This retrospective analysis aimed to evaluate the clinical impact of post-transplantation therapy, including tandem autologous stem cell transplantation (ASCT), in myeloma patients. The subjects were 79 patients (median age: 62 years) who received induction therapy, including bortezomib and/or lenalidomide, of whom 58 underwent post-transplantation therapy. At the median follow-up time of 50 months, the 4-year PFS rate was significantly higher in patients who underwent post-transplantation therapy than those who did not (60.6% vs. 28.6%, P = 0.012). Multivariate analysis revealed post-transplantation therapy to be a significant prognostic factor for long PFS. Tandem ASCT followed by consolidation and/or maintenance therapies improved PFS and OS. The minimal residual disease (MRD)-negative rate was significantly higher in patients who underwent post-transplantation therapy than those who did not (50.9% vs. 16.7%, P = 0.006). Post-transplantation therapy contributed to sustained MRD-negativity, which predicted long PFS and overall survival. Patients frequently discontinued post-transplantation therapy due to adverse events within 4 months. In conclusion, post-transplantation therapy improved PFS and contributed to sustained MRD-negativity in myeloma patients.
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Affiliation(s)
- Kazuhito Suzuki
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan.
| | - Tadahiro Gunji
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University Daisan Hospital, Komoe, Japan
| | - Masaharu Kawashima
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
| | - Hideki Uryu
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University Daisan Hospital, Komoe, Japan
| | - Riku Nagao
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University Kashiwa Hospital, Kashiwa, Japan
| | - Mamiko Momoki
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University Kashiwa Hospital, Kashiwa, Japan
| | - Hiroki Yokoyama
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
| | - Hiroto Ishii
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University Kashiwa Hospital, Kashiwa, Japan
| | - Susumu Tanoue
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
| | - Takeshi Saito
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
| | - Kaichi Nishiwaki
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University Kashiwa Hospital, Kashiwa, Japan
| | - Shingo Yano
- Division of Clinical Oncology/Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-0003, Japan
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10
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Fan H, Yan W, Li L, Xu J, Liu J, Xu Y, Sui W, Deng S, Du C, Yi S, Zou D, Qiu L, An G. The prognostic utility of dynamic risk stratification at disease progression in patients with multiple myeloma. Hematology 2023; 28:2182156. [PMID: 36815749 DOI: 10.1080/16078454.2023.2182156] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
OBJECTIVES There may be a shift in risk stratification at progression compared to that at diagnosis in patients with multiple myeloma (MM). We aimed to evaluate whether re-staging and stage migration is of prognostic impact. METHODS Real-world data from the National Longitudinal Cohort of Hematologic Diseases-multiple myeloma were collected; 263 consecutive patients demonstrating disease progression were finally included. Staging at diagnosis and re-staging at progression were performed using the International Staging System (ISS) and Revised International Staging System (RISS). RESULTS Based on ISS re-staging, the median post-progression survival (mPPS) of patients with stage I, II, and III was 44.2, 21.7, and 11.6 months, respectively (P < 0.0001). Based on RISS re-staging, the mPPS of patients with stage I, II, and III was 50.3, 22.2, and 11.4 months, respectively (P < 0.0001). The mPPS in patients with improved, maintained, and deteriorated ISS stage migration from diagnosis was 33.6, 20.9, and 16 months, respectively (P = 0.0051) and that with improved, maintained, and deteriorated RISS stage migration was 48.4, 23.1, and 13.9 months, respectively (P < 0.001). Compared to patients with maintained or improved disease stage, those with deteriorated ISS/RISS migration showed significantly higher incidence of Del(17P) at progression and worse PPS. Multivariate analyses indicated both re-staging and stage migration by ISS/RISS at progression were independent predictors for PPS. CONCLUSIONS We demonstrated that ISS/RISS re-staging showed superior prognostic utility over ISS/RISS staging in predicting PPS. Patients with deteriorated stage migration or maintained advanced stage at progression may need more individualized treatment.
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Affiliation(s)
- Huihsou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Department of Hematology, The Affiliated Hospital of Qingdao University, Shandong, China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Jiahui Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
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11
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Maura F, Boyle EM, Coffey D, Maclachlan K, Gagler D, Diamond B, Ghamlouch H, Blaney P, Ziccheddu B, Cirrincione A, Chojnacka M, Wang Y, Siegel A, Hoffman JE, Kazandjian D, Hassoun H, Guzman E, Mailankody S, Shah UA, Tan C, Hultcrantz M, Scordo M, Shah GL, Landau H, Chung DJ, Giralt S, Zhang Y, Arbini A, Gao Q, Roshal M, Dogan A, Lesokhin AM, Davies FE, Usmani SZ, Korde N, Morgan GJ, Landgren O. Genomic and immune signatures predict clinical outcome in newly diagnosed multiple myeloma treated with immunotherapy regimens. NATURE CANCER 2023; 4:1660-1674. [PMID: 37945755 DOI: 10.1038/s43018-023-00657-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 09/20/2023] [Indexed: 11/12/2023]
Abstract
Despite improving outcomes, 40% of patients with newly diagnosed multiple myeloma treated with regimens containing daratumumab, a CD38-targeted monoclonal antibody, progress prematurely. By integrating tumor whole-genome and microenvironment single-cell RNA sequencing from upfront phase 2 trials using carfilzomib, lenalidomide and dexamethasone with daratumumab ( NCT03290950 ), we show how distinct genomic drivers including high APOBEC mutational activity, IKZF3 and RPL5 deletions and 8q gain affect clinical outcomes. Furthermore, evaluation of paired bone marrow profiles, taken before and after eight cycles of carfilzomib, lenalidomide and dexamethasone with daratumumab, shows that numbers of natural killer cells before treatment, high T cell receptor diversity before treatment, the disappearance of sustained immune activation (that is, B cells and T cells) and monocyte expansion over time are all predictive of sustained minimal residual disease negativity. Overall, this study provides strong evidence of a complex interplay between tumor cells and the immune microenvironment that is predictive of clinical outcome and depth of treatment response in patients with newly diagnosed multiple myeloma treated with highly effective combinations containing anti-CD38 antibodies.
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Affiliation(s)
- Francesco Maura
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
| | - Eileen M Boyle
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - David Coffey
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Kylee Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Dylan Gagler
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Benjamin Diamond
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Hussein Ghamlouch
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Patrick Blaney
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Bachisio Ziccheddu
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Anthony Cirrincione
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Monika Chojnacka
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Yubao Wang
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Ariel Siegel
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - James E Hoffman
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Dickran Kazandjian
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Hani Hassoun
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Emily Guzman
- Genome Technology Center, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Sham Mailankody
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Urvi A Shah
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Carlyn Tan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Michael Scordo
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gunjan L Shah
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heather Landau
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David J Chung
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sergio Giralt
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yanming Zhang
- Cytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Arnaldo Arbini
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Qi Gao
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mikhail Roshal
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmet Dogan
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexander M Lesokhin
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Faith E Davies
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Saad Z Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Neha Korde
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Gareth J Morgan
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA.
| | - Ola Landgren
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
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12
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Zweegman S, van de Donk NWJC. Maintain maintenance in multiple myeloma? Blood 2023; 142:1501-1502. [PMID: 37917081 DOI: 10.1182/blood.2023021781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023] Open
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13
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Bar N, Firestone RS, Usmani SZ. Aiming for the cure in myeloma: Putting our best foot forward. Blood Rev 2023; 62:101116. [PMID: 37596172 DOI: 10.1016/j.blre.2023.101116] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 07/12/2023] [Accepted: 07/13/2023] [Indexed: 08/20/2023]
Abstract
Frontline therapy for multiple myeloma (MM) is evolving to include novel combinations that can achieve unprecedented deep response rates. Several treatment strategies exist, varying in induction regimen composition, use of transplant and or consolidation and maintenance. In this sea of different treatment permutations, the overarching theme is the powerful prognostic factors of disease risk and achievement of minimal residual disease (MRD) negativity. MM has significant inter-patient variability that requires treatment to be individualized. Risk-adapted and response-adapted strategies which are increasingly being explored to define the extent and duration of therapy, and eventually aim for functional curability. In addition, with T-cell redirection therapies rapidly revolutionizing myeloma treatments, the current standard of care for myeloma will change. This review analyzes the current relevant literature in upfront therapy for fit myeloma patients and provides suggestions for treatment approach while novel clinical trials are maturing.
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Affiliation(s)
- Noffar Bar
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine University, New Haven, CT, USA.
| | - Ross S Firestone
- Multiple Myeloma Service, Department of medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Saad Z Usmani
- Multiple Myeloma Service, Department of medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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14
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Costa LJ, Chhabra S, Medvedova E, Dholaria BR, Schmidt TM, Godby KN, Silbermann R, Dhakal B, Bal S, Giri S, D'Souza A, Hall AC, Hardwick P, Omel J, Cornell RF, Hari P, Callander NS. Minimal residual disease response-adapted therapy in newly diagnosed multiple myeloma (MASTER): final report of the multicentre, single-arm, phase 2 trial. Lancet Haematol 2023; 10:e890-e901. [PMID: 37776872 PMCID: PMC10836587 DOI: 10.1016/s2352-3026(23)00236-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/22/2023] [Accepted: 07/27/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND For patients with newly diagnosed multiple myeloma, reaching minimal residual disease (MRD) negativity after treatment is associated with improved outcomes; however, the use of MRD to modulate therapy remains elusive. We present the final analysis of the MASTER trial of daratumumab, carfilzomib, lenalidomide, and dexamethasone (Dara-KRd) therapy in patients with newly diagnosed multiple myeloma, in which MRD status is used to modulate treatment duration and cessation. METHODS MASTER was a multicentre, single-arm, phase 2 trial conducted in five academic medical centres in the USA. Eligible participants were 18 years or older with newly diagnosed multiple myeloma (measurable by serum or urine protein electrophoresis or serum free light chains), a life expectancy of at least 12 months, and an Eastern Cooperative Oncology Group performance status of 0-2, and had received no previous treatment for multiple myeloma except up to one cycle of therapy containing bortezomib, cyclophosphamide, and dexamethasone. The study was enriched for participants with high-risk chromosome abnormalities (HRCAs). During the induction phase, participants received four 28-day cycles of Dara-KRd, each comprising daratumumab (16 mg/kg intravenously on days 1, 8, 15, and 22), carfilzomib (56 mg/m2 intravenously on days 1, 8, and 15), lenalidomide (25 mg orally on days 1-21), and dexamethasone (40 mg orally or intravenously on days 1, 8, 15, and 22); induction was followed by autologous haematopoietic stem-cell transplantation and up to two phases of consolidation with Dara-KRd. We assessed MRD by next-generation sequencing after or during each phase. The primary endpoint was reaching MRD negativity (<10-5). Participants who reached MRD negativity after or during two consecutive phases stopped treatment and began observation with MRD surveillance (MRD-SURE); participants who did not reach two consecutive MRD-negative results received maintenance lenalidomide. Secondary endpoints included progression-free survival and cumulative incidence of progression. All analyses were conducted in the intention-to-treat population. This trial is registered with ClinicalTrials.gov, NCT03224507, and is complete. FINDINGS Between Mar 21, 2018, and Oct 23, 2020, 123 participants were recruited to the study, of whom 70 (57%) were men, 53 (43%) were women, 94 (76%) were non-Hispanic White, 25 (20%) were non-Hispanic Black, and four (3%) were of another race or ethnicity. The median age of participants was 61 years (IQR 55-68), and 24 (20%) were aged 70 years or older. The median duration of follow up was 42·2 months (IQR 34·5-46·0). Of the 123 participants, 53 (43%) had no HRCAs, 46 (37%) had one HRCA, and 24 (20%) had two or more HRCAs. For 118 (96%) of 123 participants, MRD was evaluable by next-generation sequencing; the remaining five had an absence of sufficiently unique clonogenic sequences to enable tracking by the assay. Of these 118 participants, 96 (81%, 95% CI 73-88) reached MRD of less than 10-5 (comprising 39 [78%, 64-88] of 50 participants with no HRCAs, 38 [86%, 73-95] of 44 participants with one HRCA, and 19 [79%, 58-93] of 24 participants with two or more HRCAs) and 84 (71%, 62-79) reached MRD-SURE and treatment cessation. 36-month progression-free survival among all 123 participants was 88% (95% CI 78-95) for participants with no HRCAs, 79% (67-88) for those with one HRCA, and 50% (30-70) for those with two or more HRCAs. For the 84 participants reaching MRD-SURE, the 24-month cumulative incidence of progression from cessation of therapy was 9% (95% CI 1-19) for participants with no HRCAs, 9% (1-18) for those with one HRCA, and 47% (23-72) for those with two or more HRCAs. 61 participants (comprising 52% of 118 MRD-evaluable participants and 73% of 84 participants who reached MRD-SURE) remain free of therapy and MRD-negative as of Feb 7, 2023. The most common grade 3-4 adverse events were neutropenia (43 patients, 35%), lymphopenia (28 patients, 23%), and hypertension (13 patients, 11%). Three treatment-emergent deaths were recorded: two sudden deaths and one due to viral infection, none of which were judged to be treatment-related. INTERPRETATION This approach provided positive outcomes and a pathway for treatment cessation in most patients with newly diagnosed multiple myeloma. Outcomes for patients with ultra-high-risk multiple myeloma, defined as those with two or more HRCAs, remain unsatisfactory, and these patients should be prioritised for trials with early introduction of therapies with novel mechanisms of action. FUNDING Amgen and Janssen Pharmaceuticals.
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Affiliation(s)
- Luciano J Costa
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Saurabh Chhabra
- Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Eva Medvedova
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Bhagirathbhai R Dholaria
- Division of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Timothy M Schmidt
- Division of Hematology, Oncology and Palliative Care, Department of Medicine, University of Wisc onsin, Madison, WI, USA
| | - Kelly N Godby
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rebecca Silbermann
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Binod Dhakal
- Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Susan Bal
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Smith Giri
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Anita D'Souza
- Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Aric C Hall
- Division of Hematology, Oncology and Palliative Care, Department of Medicine, University of Wisc onsin, Madison, WI, USA
| | - Pamela Hardwick
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - James Omel
- Academic Consortium to Overcome Multiple Myeloma through Innovative Trials (COMMIT), Omaha, NE, USA
| | - Robert F Cornell
- Division of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Parameswaran Hari
- Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Natalie S Callander
- Division of Hematology, Oncology and Palliative Care, Department of Medicine, University of Wisc onsin, Madison, WI, USA
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15
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Xu J, Yan W, Fan H, Liu J, Li L, Du C, Deng S, Sui W, Xu Y, Qiu L, An G. Impact of residual tumor cells in the stem cell collection on multiple myeloma patients receiving autologous stem cell transplantation. Ann Hematol 2023; 102:3195-3204. [PMID: 37679605 PMCID: PMC10567849 DOI: 10.1007/s00277-023-05427-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 08/24/2023] [Indexed: 09/09/2023]
Abstract
Autologous stem cell transplantation (ASCT) is the standard therapy for patients with transplant-eligible multiple myeloma (TEMM). However, the ideal depth of response required before ASCT and the impact of residual tumor cells in the stem cell collection (SCC) on survival remains unclear. Here we collected data of 89 patients with TEMM undergoing ASCT and analyzed the minimal residual disease of SCC (cMRD) and bone marrow (BM) (mMRD) before transplantation. Before ASCT, 31.5% and 76.4% of patients achieved MRD negativity in BM and SCC, respectively. Tumor cells were less in SCC samples than that in BM samples. Neoplastic cells in SCC could be observed in patients with different responses after induction therapy, and there were no significant differences in the percentage and level of cMRD among these subgroups (P > 0.05). No correlation was found between the cMRD status and the response patients achieved after ASCT (P > 0.05). The median follow-up was 26.8 months. mMRD negativity before ASCT was associated with longer PFS (55.9 vs. 27.1 months; P = 0.009) but not OS (not reached vs. 58.9 months; P = 0.115). Patients with different cMRD statuses before ASCT experienced similar PFS (40.5 vs. 76.4 months for negativity vs. positivity; P = 0.685) and OS (not reached vs. 58.8 months for negativity vs. positivity; P = 0.889). These results suggested that detectable cMRD does not significantly predict the inferior post-ASCT response or shorter survival, and patients are eligible to undergo ASCT upon achieving partial response.
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Affiliation(s)
- Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, 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, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, 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, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, 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, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
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16
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Banerjee R, Cicero KI, Lee SS, Cowan AJ. Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling. Front Oncol 2023; 13:1240966. [PMID: 37849816 PMCID: PMC10577204 DOI: 10.3389/fonc.2023.1240966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/18/2023] [Indexed: 10/19/2023] Open
Abstract
Traditional prognostic models for newly diagnosed patients with multiple myeloma (MM), including International Staging System criteria and number of high-risk chromosomal abnormalities, are based on disease characteristics at diagnosis. However, the identification of patients at risk of more rapidly progressive MM is inherently a dynamic assessment. In a subset of patients with MM, adverse disease biology only becomes evident after the failure of first-line therapy. We define this entity as functional high-risk MM (FHRMM), encompassing relapse within 18 months of treatment initiation and/or within 12 months of frontline autologous stem cell transplantation. FHRMM is not adequately captured by traditional prognostic models, and there is a need for better understanding of mechanisms or risk factors for early relapse or progression. In this review, we explore potential definitions of FHRMM before delving into its underlying drivers based on genetic, transcriptomic, and immune cell profiling studies. Emerging data suggest that specific features of both myeloma cells and immune cells can enable the FHRMM phenotype. We conclude our review by discussing ongoing and future studies that seek to identify and intervene upon patients with FHRMM preemptively.
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Affiliation(s)
- Rahul Banerjee
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA, United States
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Kara I. Cicero
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA, United States
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Sarah S. Lee
- Division of Myeloma, Department of Hematology & Hematopoietic Cell Transplantation, City of Hope, CA, United States
| | - Andrew J. Cowan
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA, United States
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
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17
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Pasvolsky O, Milton DR, Masood A, Sami SS, Tanner MR, Bashir Q, Srour S, Saini N, Lin P, Ramdial J, Nieto Y, Saeed A, Lee HC, Patel KK, Kebriaei P, Thomas SK, Weber DM, Orlowski RZ, Shpall EJ, Champlin RE, Qazilbash MH. Single-agent lenalidomide maintenance after upfront autologous stem cell transplant for newly diagnosed multiple myeloma: The MD Anderson experience. Am J Hematol 2023; 98:1571-1578. [PMID: 37461327 PMCID: PMC10530277 DOI: 10.1002/ajh.27029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/14/2023] [Accepted: 07/02/2023] [Indexed: 08/20/2023]
Abstract
The optimal duration of lenalidomide (Len) maintenance for patients with multiple myeloma (MM) after autologous stem cell transplantation (autoHCT) is unknown. We conducted a retrospective single-center analysis of adult MM patients that received upfront autoHCT between 2005 and 2021, followed by single-agent Len maintenance. A total of 1167 patients were included with a median age of 61.4 (range 25.4-82.3) years, and high-risk chromosomal abnormalities in 19%. Median duration of maintenance was 22.3 (range 0.03-139.6) months. After a median follow-up of 47.9 (range 2.9-171.7) months, median PFS and OS for the entire cohort were 56.6 (95% CI 48.2-61.4) months and 111.3 (95% CI 101.7-121.5) months, respectively. In MVA, high-risk cytogenetics was associated with a worse PFS (HR 1.91) and OS (HR 1.73) (p < .001 for both). Use of KRD induction and achievement of MRD-negative ≥ VGPR before autoHCT were associated with an improved PFS (HR 0.53 and HR 0.57, respectively; p < .001 for both). Longer maintenance duration, even with a 5-year cutoff, was associated with superior PFS and OS (HR 0.17 and 0.12, respectively; p < .001 for both). A total of 106 patients (9%) developed a second primary malignancy (SPM), mostly solid tumors (39%) and myeloid malignancies (30%). Longer maintenance duration was associated with a higher risk of SPM, reaching statistical significance after >2 years (odds ratio 2.25; p < .001). In conclusion, outcomes with Len maintenance were comparable to those reported in large clinical trials. Longer duration of maintenance, even beyond 5 years, was associated with improved survival.
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Affiliation(s)
- Oren Pasvolsky
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Institute of Hematology, Davidoff Cancer Center, Rabin Medical Center, Petah-Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Denái R. Milton
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Adeel Masood
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sophiya S. Sami
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mark R. Tanner
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Qaiser Bashir
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Samer Srour
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Neeraj Saini
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Paul Lin
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeremy Ramdial
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yago Nieto
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Arsalan Saeed
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hans C. Lee
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Krina K. Patel
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Partow Kebriaei
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sheeba K. Thomas
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Donna M. Weber
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Robert Z. Orlowski
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Elizabeth J. Shpall
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Richard E. Champlin
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Muzaffar H. Qazilbash
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
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18
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Benjamin CL, Desai S, Pereira D, Beitinjaneh A, Jimenez A, Goodman M, Lekakis L, Spiegel J, Komanduri KV, Wang TP. Cryopreservation and storage patterns of hematopoietic progenitor stem cells for multiple myeloma. Transfus Apher Sci 2023; 62:103731. [PMID: 37236900 PMCID: PMC10657907 DOI: 10.1016/j.transci.2023.103731] [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: 03/05/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023]
Abstract
Autologous hematopoietic stem cell transplantation (HCT) has been a standard of care treatment for eligible patients with newly diagnosed multiple myeloma (MM). Guidelines generally recommend hematopoietic progenitor cell (HPC) harvest for two potential HCT. There is a paucity of data reporting use of such collections in the era of novel approved therapies. In this single-center retrospective study, our goal was to determine the HPC utilization rate and costs associated with leukocytapheresis, collection, storage, and disposal to guide future HPC collection planning. We included 613 patients with MM who underwent HPC collection over a nine-year period. The patients were separated into four groups based on HPC utilization: 1) patients who never proceeded to HCT, or Harvest and Hold (14.8 %), 2) patients who proceeded to one HCT with banked HPC remaining (76.8 %), 3) patients who proceeded to one HCT without HPC remaining (5.1 %), and 4) patients who proceeded to two HCTs (3.3 %). After collection, 73.9 % of patients underwent HCT within 30 days. Of patients with banked HPC, defined as not undergoing HCT within 30 days of leukocytapheresis, the overall utilization rate was 14.9 %. At 2- and 5-years post HPC collection, utilization rate was 10.4 % and 11.5 %, respectively. In conclusion, our results suggest very low utilization of stored HPC, raising into question the current HPC collection targets. Given advances in MM therapy, as well as significant costs associated with harvest and storage, collection for unplanned future use warrants reconsideration. As a result of our analysis, our institution has reduced our HPC collection targets.
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Affiliation(s)
- Cara L Benjamin
- Division of Transplantation and Cellular Therapy, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Shreena Desai
- Department of Medicine, University of Miami Miller School of Medicine/Jackson Memorial Hospital, Miami, FL, USA
| | - Denise Pereira
- Division of Transplantation and Cellular Therapy, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Amer Beitinjaneh
- Division of Transplantation and Cellular Therapy, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Antonio Jimenez
- Division of Transplantation and Cellular Therapy, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Mark Goodman
- Division of Transplantation and Cellular Therapy, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Lazaros Lekakis
- Division of Transplantation and Cellular Therapy, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jay Spiegel
- Division of Transplantation and Cellular Therapy, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Krishna V Komanduri
- Department of Medicine, Division of Hematology Oncology, University of California San Francisco, USA
| | - Trent P Wang
- Division of Transplantation and Cellular Therapy, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
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19
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Coffey DG, Maura F, Gonzalez-Kozlova E, Diaz-Mejia JJ, Luo P, Zhang Y, Xu Y, Warren EH, Dawson T, Lee B, Xie H, Smith E, Ciardiello A, Cho HJ, Rahman A, Kim-Schulze S, Diamond B, Lesokhin A, Kazandjian D, Pugh TJ, Green DJ, Gnjatic S, Landgren O. Immunophenotypic correlates of sustained MRD negativity in patients with multiple myeloma. Nat Commun 2023; 14:5335. [PMID: 37660077 PMCID: PMC10475030 DOI: 10.1038/s41467-023-40966-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 08/18/2023] [Indexed: 09/04/2023] Open
Abstract
The role of the immune microenvironment in maintaining disease remission in patients with multiple myeloma (MM) is not well understood. In this study, we comprehensively profile the immune system in patients with newly diagnosed MM receiving continuous lenalidomide maintenance therapy with the aim of discovering correlates of long-term treatment response. Leveraging single-cell RNA sequencing and T cell receptor β sequencing of the peripheral blood and CyTOF mass cytometry of the bone marrow, we longitudinally characterize the immune landscape in 23 patients before and one year after lenalidomide exposure. We compare patients achieving sustained minimal residual disease (MRD) negativity to patients who never achieved or were unable to maintain MRD negativity. We observe that the composition of the immune microenvironment in both the blood and the marrow varied substantially according to both MRD negative status and history of autologous stem cell transplant, supporting the hypothesis that the immune microenvironment influences the depth and duration of treatment response.
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Affiliation(s)
- David G Coffey
- Division of Myeloma, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Francesco Maura
- Division of Myeloma, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | | | - J Javier Diaz-Mejia
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Ping Luo
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Yong Zhang
- Office of Oncologic Diseases, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Yuexin Xu
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Edus H Warren
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Travis Dawson
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian Lee
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hui Xie
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eric Smith
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amanda Ciardiello
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hearn J Cho
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Multiple Myeloma Research Foundation, Norwalk, USA
| | - Adeeb Rahman
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Benjamin Diamond
- Division of Myeloma, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Alexander Lesokhin
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dickran Kazandjian
- Division of Myeloma, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Trevor J Pugh
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Damian J Green
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sacha Gnjatic
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ola Landgren
- Division of Myeloma, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
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20
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Liu J, Yan W, Fan H, Xu J, Li L, Du C, Mao X, Yan Y, Xu Y, Sui W, Deng S, Yi S, Anderson KC, Qiu L, Zou D, An G. Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment. CANCER RESEARCH COMMUNICATIONS 2023; 3:1770-1780. [PMID: 37680953 PMCID: PMC10481879 DOI: 10.1158/2767-9764.crc-23-0185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/10/2023] [Accepted: 08/11/2023] [Indexed: 09/09/2023]
Abstract
Attaining undetectable minimal residual disease (MRD) is the current therapeutic goal for multiple myeloma. But there is a current lack of data regarding the clinical benefit of autologous stem cell transplantation (ASCT) for patients with myeloma achieving early MRD-negative status after induction treatment, in addition to the interaction of longitudinal MRD status with ASCT. The current study included 407 patients with transplant-eligible multiple myeloma with available MRD status from the National Longitudinal Cohort of Hematological Diseases in China (NCT04645199), of whom 147 (34.4%) achieved early undetectable MRD and 182 (44.7%) received ASCT. Early MRD-negative status was associated with a lower risk of disease progression [HR = 0.447; 95% confidence interval (CI), 0.333-0.600; P < 0.001] and death (HR = 0.473; 95% CI, 0.320-0.700; P < 0.001). Of note, patients who achieved undetectable MRD early still benefitted from ASCT, with a remarkable improvement in the median MRD-negative duration (33.5-58.0 months, P < 0.001), progression-free survival (PFS; 46.0-88.3 months, P < 0.001), and overall survival (OS; 76.4 months to not reached, P = 0.003). These clinical benefits were more pronounced in patients with aggressive features (high-risk cytogenetic abnormalities or high tumor burden) compared with standard-risk patients. Similar results were observed in patients with detectable MRD after induction treatment. In addition, we identified four MRD-status transformation patterns following ASCT, which were strongly correlated with diverse survival outcomes (P < 0.001). Our study revealed the enhanced clinical significance of ASCT in patients with transplant-eligible myeloma, regardless of early MRD status, particularly for high-risk patients. Subsequent prospective trials are essential to validate these observations. Significance Achieving and maintaining undetectable MRD is the current treatment goal for multiple myeloma. Our results emphasized the remarkable clinical benefit of ASCT on MRD-negative duration, PFS, and OS in patients with multiple myeloma regardless of early MRD status. These favorable impacts were more evident in patients with aggressive features. Importantly, dynamic MRD monitoring among ASCT could facilitate personalized stratification of therapeutic approaches.
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Affiliation(s)
- 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fujian Medical University Union Hospital, Fuzhou, P.R. China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Yuting Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Kenneth C. Anderson
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. 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, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
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21
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Landgren O, Kazandjian D. MRD and Plasma Cell Dynamics after CAR T-cell Therapy in Myeloma. Blood Cancer Discov 2023; 4:346-348. [PMID: 37655402 PMCID: PMC10472185 DOI: 10.1158/2643-3230.bcd-23-0134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023] Open
Abstract
SUMMARY In this issue, Paiva and colleagues characterize the dynamics of minimal residual disease (MRD) and clinical responses during chimeric antigen receptor (CAR) T-cell therapy of relapsed/refractory multiple myeloma. Although both correlate with prolonged progression-free survival, MRD is reached faster in the bone marrow than complete response in peripheral blood; consequently, the study addresses the need for future guidelines to explore new MRD-negative definitions that are independent of the monoclonal (M) protein to overcome this limitation, particularly in clinical trials using early depth of response as an endpoint. See related article by Paiva et al., p. 365 (1).
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Affiliation(s)
- Ola Landgren
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Dickran Kazandjian
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
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22
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Roshal M, Gao Q. Flow Cytometry in Diagnosis, Prognostication, and Monitoring of Multiple Myeloma and Related Disorders. Clin Lab Med 2023; 43:363-375. [PMID: 37481317 DOI: 10.1016/j.cll.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
Flow cytometry plays a critical role in the diagnosis, prognostication, therapy response evaluation, and clinical management of plasma cell neoplasms. The review summarizes how flow cytometry is used in the initial evaluation to distinguish primary and secondary clonal plasma cell populations from each other and from reactive plasma cells. We further illustrate the kinds of prognostic information the assessment can provide at diagnosis and disease follow-up of primary plasma cell neoplasms. Technical requirements for MRD assays and their use in therapy efficacy assessment and clinical decision-making in multi-myeloma are discussed.
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Affiliation(s)
- Mikhail Roshal
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center.
| | - Qi Gao
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center
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23
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Ramasamy K, Avet-Loiseau H, Hveding Blimark C, Delforge M, Gay F, Manier S, Martinez-Lopez J, Mateos MV, Mohty M, van de Donk NW, Weisel K. Measurable Residual Disease Testing in Multiple Myeloma Routine Clinical Practice: A Modified Delphi Study. Hemasphere 2023; 7:e942. [PMID: 37663672 PMCID: PMC10470794 DOI: 10.1097/hs9.0000000000000942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 07/18/2023] [Indexed: 09/05/2023] Open
Abstract
We used a modified Delphi approach to establish areas of consensus and nonconsensus regarding the utility of determining measurable residual disease (MRD) to assess multiple myeloma (MM) treatment response, which may inform disease management and design of future clinical trials. This modified Delphi study incorporated 2 iterative rounds of surveys to evaluate the opinions of an expert panel of 61 practicing hematological oncologists from across 14 countries in Europe concerning the use of MRD testing in MM management. Survey 1 assessed experts' opinions on MRD testing in different clinical situations and associated challenges. Survey 2 focused on the lack of consensus areas identified in survey 1. Consensus to an individual question was defined a priori as 75% agreement or disagreement by the panel. From the 2 rounds of surveys, the experts reached consensus agreement that MRD testing should be performed in newly diagnosed or relapsed patients who achieved complete response (CR) or better after transplantation. In transplant-ineligible patients, experts recommended MRD testing in those who are ≤70 years old and in CR. If a patient was previously positive on positron-emission tomography and computed tomography (PET/CT), both MRD and PET/CT should be assessed at CR. MRD testing should be performed ≤6 months after transplantation and every 6-12 months in continuously treated patients in CR. There was no consensus on making treatment decisions based on MRD status. MRD testing is an important component of clinical management in MM. Additional data will further clarify the role of MRD in guiding treatment decisions.
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Affiliation(s)
- Karthik Ramasamy
- Oxford University Hospitals NHS Foundation Trust, Radcliffe Department of Medicine, Oxford University, Oxford, United Kingdom
| | - Hervé Avet-Loiseau
- University Institute of Cancer Toulouse, University Hospital of Toulouse, Toulouse, France
| | | | | | | | | | | | - Maria Victoria Mateos
- University Hospital of Salamanca, Salamanca Biomedical Research Institute (IBSAL), CIC, Ciberonc, Salamanca, Spain
| | - Mohamad Mohty
- Hospital Saint-Antoine, Sorbonne University, INSERM UMRs 938, Paris, France
| | | | - Katja Weisel
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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24
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Medina-Herrera A, Sarasquete ME, Jiménez C, Puig N, García-Sanz R. Minimal Residual Disease in Multiple Myeloma: Past, Present, and Future. Cancers (Basel) 2023; 15:3687. [PMID: 37509348 PMCID: PMC10377959 DOI: 10.3390/cancers15143687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
Responses to treatment have improved over the last decades for patients with multiple myeloma. This is a consequence of the introduction of new drugs that have been successfully combined in different clinical contexts: newly diagnosed, transplant-eligible or ineligible patients, as well as in the relapsed/refractory setting. However, a great proportion of patients continue to relapse, even those achieving complete response, which underlines the need for updated response criteria. In 2014, the international myeloma working group established new levels of response, prompting the evaluation of minimal residual disease (MRD) for those patients already in complete or stringent complete response as defined by conventional serological assessments: the absence of tumor plasma cells in 100,000 total cells or more define molecular and immunophenotypic responses by next-generation sequencing and flow cytometry, respectively. In this review, we describe all the potential methods that may be used for MRD detection based on the evidence found in the literature, paying special attention to their advantages and pitfalls from a critical perspective.
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Affiliation(s)
- Alejandro Medina-Herrera
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - María Eugenia Sarasquete
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Cristina Jiménez
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Noemí Puig
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Ramón García-Sanz
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
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25
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Dimopoulos MA, Merlini G, Bridoux F, Leung N, Mikhael J, Harrison SJ, Kastritis E, Garderet L, Gozzetti A, van de Donk NWCJ, Weisel KC, Badros AZ, Beksac M, Hillengass J, Mohty M, Ho PJ, Ntanasis-Stathopoulos I, Mateos MV, Richardson P, Blade J, Moreau P, San-Miguel J, Munshi N, Rajkumar SV, Durie BGM, Ludwig H, Terpos E. Management of multiple myeloma-related renal impairment: recommendations from the International Myeloma Working Group. Lancet Oncol 2023; 24:e293-e311. [PMID: 37414019 DOI: 10.1016/s1470-2045(23)00223-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/02/2023] [Accepted: 05/05/2023] [Indexed: 07/08/2023]
Abstract
Here, the International Myeloma Working Group (IMWG) updates its clinical practice recommendations for the management of multiple myeloma-related renal impairment on the basis of data published until Dec 31, 2022. All patients with multiple myeloma and renal impairment should have serum creatinine, estimated glomerular filtration rate, and free light chains (FLCs) measurements together with 24-h urine total protein, electrophoresis, and immunofixation. If non-selective proteinuria (mainly albuminuria) or involved serum FLCs value less than 500 mg/L is detected, then a renal biopsy is needed. The IMWG criteria for the definition of renal response should be used. Supportive care and high-dose dexamethasone are required for all patients with myeloma-induced renal impairment. Mechanical approaches do not increase overall survival. Bortezomib-based regimens are the cornerstone of the management of patients with multiple myeloma and renal impairment at diagnosis. New quadruplet and triplet combinations, including proteasome inhibitors, immunomodulatory drugs, and anti-CD38 monoclonal antibodies, improve renal and survival outcomes in both newly diagnosed patients and those with relapsed or refractory disease. Conjugated antibodies, chimeric antigen receptor T-cells, and T-cell engagers are well tolerated and effective in patients with moderate renal impairment.
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Affiliation(s)
- Meletios A Dimopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Giampaolo Merlini
- Amyloidosis Research and Treatment Center, IRCCS Policlinico San Matteo and University of Pavia, Pavia, Italy
| | - Frank Bridoux
- Department of Nephrology, Centre Hospitalier Universitaire, Université de Poitiers, Poitiers, France
| | - Nelson Leung
- Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Joseph Mikhael
- Translational Genomics Research Institute, City of Hope Cancer Center, Phoenix, AZ, USA
| | - Simon J Harrison
- Peter MacCallum Cancer Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Efstathios Kastritis
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | | | - Alessandro Gozzetti
- Department of Hematology, University of Siena, Policlinico S Maria alle Scotte, Siena, Italy
| | - Niels W C J van de Donk
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Katja C Weisel
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ashraf Z Badros
- Department of Medicine, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Meral Beksac
- Department of Hematology, Ankara University School of Medicine, Ankara, Turkey
| | | | - Mohamad Mohty
- Department of Hematology, Hôpital Saint-Antoine, Sorbonne University and INSERM UMRs 938, Paris, France
| | - P Joy Ho
- Institute of Haematology, Royal Prince Alfred Hospital, University of Sydney, Sydney, NSW, Australia
| | - Ioannis Ntanasis-Stathopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | | | - Paul Richardson
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Joan Blade
- Department of Hematology, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - Philippe Moreau
- Department of Hematology, University Hospital of Nantes, Nantes, France
| | - Jesus San-Miguel
- Cancer Center Clinica Universidad de Navarra, CCUN, Centro de Investigación Médica Aplicada, Instituto de Investigación Sanitaria de Navarra, Centro de Investigación Biomédica en Red Cáncer, Pamplona, Spain
| | - Nikhil Munshi
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - Brian G M Durie
- Department of Hematology/Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Heinz Ludwig
- Wilhelminen Cancer Research Institute, First Department of Medicine, Clinic Ottakring, Vienna, Austria
| | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece.
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26
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Oliva S, Genuardi E, Paris L, D'Agostino M, Rogers J, Rota-Scalabrini D, Jacob AP, Patriarca F, Luppi M, Bertazzoni P, Velluti C, Capra A, Saraci E, Rossi M, Allegra A, Mina R, Gentile M, Kirsch IR, Belotti A, Cavo M, Bruno B, Musto P, Boccadoro M, Zamagni E, Gay F. Prospective evaluation of minimal residual disease in the phase II FORTE trial: a head-to-head comparison between multiparameter flow cytometry and next-generation sequencing. EClinicalMedicine 2023; 60:102016. [PMID: 37396800 PMCID: PMC10314153 DOI: 10.1016/j.eclinm.2023.102016] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/03/2023] [Accepted: 05/08/2023] [Indexed: 07/04/2023] Open
Abstract
Background Limited data are available on the concordance between multiparameter flow cytometry (MFC) and next-generation sequencing (NGS) for minimal residual disease (MRD) detection in a large trial for multiple myeloma (MM) patients. Methods MRD was explored in the FORTE trial for transplant-eligible MM patients randomised to three carfilzomib-based induction-intensification-consolidation treatments and carfilzomib-lenalidomide (KR) vs R maintenance. MRD was assessed by 8-colour 2nd-generation flow cytometry in patients with ≥very good partial response before maintenance. NGS was performed in case of suspected complete response (CR) in a correlative subanalysis. Biological/prognostic concordance between MFC and NGS, conversion to MRD negativity during maintenance, and 1-year/2-year sustained MRD negativity were explored. Findings Between September 28, 2015 and December 22, 2021, 2020 samples were available for MFC and 728 for the simultaneous MFC/NGS correlation in the "suspected CR population". Median follow-up was 62 months. Biological agreement was 87% at the 10-5 and 83% at the 10-6 cut-offs. A remarkable prognostic concordance was observed: hazard ratios in MFC-MRD and NGS-MRD-negative vs -positive patients were 0.29 and 0.27 for progression-free survival (PFS) and 0.35 and 0.31 for overall survival, respectively (p < 0.05). During maintenance, 4-year PFS was 91% and 97% in 1-year sustained MFC-MRD-negative and NGS-MRD-negative patients (10-5), respectively, and 99% and 97% in 2-year sustained MFC-MRD-negative and NGS-MRD-negative patients, regardless of treatment received. The conversion rate from pre-maintenance MRD positivity to negativity during maintenance was significantly higher with KR vs R both by MFC (46% vs 30%, p = 0.046) and NGS (56% vs 30%, p = 0.046). Interpretation The significant biological/clinical concordance between MFC and NGS at the same sensitivity suggests their possible use in the evaluation of one of the currently strongest predictors of outcome. Funding Amgen, Celgene/Bristol Myers Squibb, Multiple Myeloma Research Foundation.
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Affiliation(s)
- Stefania Oliva
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Elisa Genuardi
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Laura Paris
- Division of Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Mattia D'Agostino
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Jennifer Rogers
- Multiple Myeloma Research Foundation (MMRF), Norwalk, CT, USA
| | - Delia Rota-Scalabrini
- Multidisciplinary Oncology Outpatient Clinic, Candiolo Cancer Institute, FPO - IRCCS, Torino, Italy
| | | | - Francesca Patriarca
- Hematologic Clinic and Transplant Center, University Hospital of Central Friuli, DAME, University of Udine, Udine, Italy
| | - Mario Luppi
- Dipartimento di Scienze Mediche e Chirurgiche Materno Infantili e dell'Adulto, UNIMORE, UOC Ematologia, Azienda Ospedaliero-Universitaria di Modena, Modena, Italy
| | | | - Cristina Velluti
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Andrea Capra
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Elona Saraci
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Marco Rossi
- SOC Ematologia, Department of Oncology/Hematology, Azienda Ospedaliera Pugliese-Ciaccio and Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Alessandro Allegra
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Messina, Italy
| | - Roberto Mina
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | | | | | - Angelo Belotti
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Michele Cavo
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Benedetto Bruno
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Pellegrino Musto
- Department of Precision and Regenerative Medicine and Ionian Area, “Aldo Moro” University School of Medicine, Bari, Italy
- Hematology and Stem Cell Transplantation Unit, AOU Consorziale Policlinico, Bari, Italy
| | - Mario Boccadoro
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Francesca Gay
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
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27
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Morè S, Corvatta L, Manieri VM, Olivieri A, Offidani M. Current Main Topics in Multiple Myeloma. Cancers (Basel) 2023; 15:2203. [PMID: 37190132 PMCID: PMC10136770 DOI: 10.3390/cancers15082203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/05/2023] [Accepted: 04/06/2023] [Indexed: 05/17/2023] Open
Abstract
Multiple Myeloma (MM) remains a difficult to treat disease mainly due to its biological heterogeneity, of which we are more and more knowledgeable thanks to the development of increasingly sensitive molecular methods that allow us to build better prognostication models. The biological diversity translates into a wide range of clinical outcomes from long-lasting remission in some patients to very early relapse in others. In NDMM transplant eligible (TE) patients, the incorporation of mAb as daratumumab in the induction regimens, followed by autologous stem cell transplantation (ASCT) and consolidation/maintenance therapy, has led to a significant improvement of PFS and OS.; however, this outcome remains poor in ultra-high risk MM or in those who did not achieve a minimal residual disease (MRD) negativity. Several trials are exploring cytogenetic risk-adapted and MRD-driven therapies in these patients. Similarly, quadruplets-containing daratumumab, particularly when administered as continuous therapies, have improved outcome of patients not eligible for autologous transplant (NTE). Patients who become refractory to conventional therapies have noticeably poor outcomes, making their treatment a difficult challenge in need of novel strategies. In this review, we will focus on the main points regarding risk stratification, treatment and monitoring of MM, highlighting the most recent evidence that could modify the management of this still incurable disease.
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Affiliation(s)
- Sonia Morè
- Clinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy
| | - Laura Corvatta
- Unità Operativa Complessa di Medicina, Ospedale Profili, 60044 Fabriano, Italy
| | | | - Attilio Olivieri
- Clinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy
| | - Massimo Offidani
- Clinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy
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Lenalidomide Maintenance and Measurable Residual Disease in a Real-World Multiple Myeloma Transplanted Population Receiving Different Treatment Strategies Guided by Access to Novel Drugs in Brazil. Cancers (Basel) 2023; 15:cancers15051605. [PMID: 36900396 PMCID: PMC10000507 DOI: 10.3390/cancers15051605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/08/2023] Open
Abstract
Despite recent advances in multiple myeloma (MM), the incorporation of novel agents and measurable residual disease (MRD) monitoring in low-income countries remains a challenge. Although lenalidomide maintenance (M-Len) after autologous stem cell transplantation (ASCT) has been associated with improved outcomes and MRD has refined the prognosis of complete response (CR) cases, until now, there have been no data on the benefits of these approaches in Latin America. Here, we evaluate the benefits of M-Len and MRD using next-generation flow cytometry (NGF-MRD) at Day + 100 post-ASCT (n = 53). After ASCT, responses were evaluated based on the International Myeloma Working Group criteria and NGF-MRD. MRD was positive in 60% of patients with a median progression-free survival (PFS) of 31 months vs. not reached (NR) for MRD-negative cases (p = 0.05). The patients who received M-Len continuously had a significantly better PFS and overall survival (OS) than those without M-Len (median PFS: NR vs. 29 months, p = 0.007), with progression in 11% vs. 54% of cases after a median follow-up of 34 months, respectively. In a multivariate analysis, MRD status and M-Len therapy emerged as independent predictors of PFS (median PFS of M-Len/MRD- vs. no M-Len/MRD+ of NR vs. 35 months, respectively; p = 0.01). In summary, M-Len was associated with improved survival outcomes in our real-world MM cohort in Brazil, with MRD emerging as a useful reproducible tool to identify patients at an earlier risk of relapse. The inequity in drug access remains a hurdle in countries with financial constraints, with a negative impact on MM survival.
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Paiva B, Manrique I, Dimopoulos MA, Gay F, Min CK, Zweegman S, Špička I, Teipel R, Mateos MV, Giuliani N, Cavo M, Hopkins CR, Fu W, Suryanarayan K, Vorog A, Li C, Wang B, Estevam J, Labotka R, Dash AB. MRD dynamics during maintenance for improved prognostication of 1280 patients with myeloma in the TOURMALINE-MM3 and -MM4 trials. Blood 2023; 141:579-591. [PMID: 36130300 PMCID: PMC10651778 DOI: 10.1182/blood.2022016782] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 09/01/2022] [Accepted: 09/03/2022] [Indexed: 11/20/2022] Open
Abstract
Measurable residual disease (MRD) evaluation may help to guide treatment duration in multiple myeloma (MM). Paradoxically, limited longitudinal data exist on MRD during maintenance. We investigated the prognostic value of MRD dynamics in 1280 transplant-eligible and -ineligible patients from the TOURMALINE-MM3 and -MM4 randomized placebo-controlled phase 3 studies of 2-year ixazomib maintenance. MRD status at randomization showed independent prognostic value (median progression-free survival [PFS], 38.6 vs 15.6 months in MRD- vs MRD+ patients; HR, 0.47). However, MRD dynamics during maintenance provided more detailed risk stratification. A 14-month landmark analysis showed prolonged PFS in patients converting from MRD+ to MRD- status vs those with persistent MRD+ status (76.8% vs 27.6% 2-year PFS rates). Prolonged PFS was observed in patients with sustained MRD- status vs those converting from MRD- to MRD+ status (75.0% vs 34.2% 2-year PFS rates). Similar results were observed at a 28-month landmark analysis. Ixazomib maintenance vs placebo improved PFS in patients who were MRD+ at randomization (median, 18.8 vs 11.6 months; HR, 0.65) or at the 14-month landmark (median, 16.8 vs 10.6 months; HR, 0.65); no difference was observed in patients who were MRD-. This is the largest MM population undergoing yearly MRD evaluation during maintenance reported to date. We demonstrate the limited prognostic value of a single-time point MRD evaluation, because MRD dynamics over time substantially impact PFS risk. These findings support MRD- status as a relevant end point during maintenance and confirm the increased progression risk in patients converting to MRD+ from MRD- status. These trials were registered at www.clinicaltrials.gov as #NCT02181413 and #NCT02312258.
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Affiliation(s)
- Bruno Paiva
- Clinica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), CIBERONC (CB16/12/00369), Pamplona, Spain
| | - Irene Manrique
- Clinica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), CIBERONC (CB16/12/00369), Pamplona, Spain
| | - Meletios A. Dimopoulos
- Hematology and Medical Oncology, Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Francesca Gay
- Department of Oncology and Hematology, Azienda Ospedaliero-Universitaria City of Health and Science of Turin, Turin, Italy
| | - Chang-Ki Min
- Department of Internal Medicine, Seoul St Mary’s Hospital, Catholic University of Korea, Seoul, South Korea
| | - Sonja Zweegman
- Department of Hematology, Amsterdam University Medical Center, VU University Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Ivan Špička
- Department of Hematology, Charles University, Prague, Czech Republic
| | - Raphael Teipel
- Medizinische Klinik und Poliklinik I, Universitätsklinikum TU Dresden, Dresden, Germany
| | | | - Nicola Giuliani
- Myeloma Unit, Department of Clinical and Experimental Medicine, University of Parma, and Ematologia e CTMO, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Michele Cavo
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli,” Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italy
| | | | - Weijun Fu
- Department of Hematology, Shanghai Changzheng Hospital, Shanghai, China
- Department of Hematology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | | | | | - Cong Li
- Takeda Development Center Americas, Lexington, MA
| | - Bingxia Wang
- Takeda Development Center Americas, Lexington, MA
| | - Jose Estevam
- Takeda Development Center Americas, Lexington, MA
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Offidani M, Morè S, Corvatta L. Maintenance therapy in multiple myeloma: Two is not always better than one. Br J Haematol 2022; 201:181-182. [PMID: 36541138 DOI: 10.1111/bjh.18614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022]
Abstract
In multiple myeloma (MM) long-term therapy aims to control disease and delay progression for as long as possible. In this issue Jenner et al. failed to demonstrate a benefit of maintenance with lenalidomide plus vorinostat compared with lenalidomide in both transplant eligible (TE) and ineligible (NTE) patients enrolled in the Myeloma XI trial. Commentary on: Jenner et al. The addition of vorinostat to lenalidomide maintenance for patients with newly diagnosed multiple myeloma of all ages: results from 'Myeloma XI', a multicentre, open-label, randomised, phase III trial. Br J Haematol. 2023;201:276-288.
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Affiliation(s)
- Massimo Offidani
- Clinica di Ematologia Azienda Ospedaliero Universitaria Ospedali Riuniti di Ancona Ancona Italy
| | - Sonia Morè
- Clinica di Ematologia Azienda Ospedaliero Universitaria Ospedali Riuniti di Ancona Ancona Italy
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31
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Schmidt TM. High or low? Assessing disease risk in multiple myeloma. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2022; 2022:349-355. [PMID: 36485159 PMCID: PMC9820796 DOI: 10.1182/hematology.2022000347] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Based upon the development of highly effective therapies such as immunomodulatory drugs, proteasome inhibitors, and monoclonal antibodies that target plasma cell biology, a dramatic improvement in overall survival has been observed for most patients with multiple myeloma (MM) over the past 2 decades. Although it is now commonplace for many patients with myeloma to live in excess of 10 years after diagnosis, unfortunately a large subset of patients continues to experience an aggressive disease course marked by substantial morbidity and early mortality. Many clinical biomarkers and staging systems in use today can help with prognostication, but accurate risk assessment can be difficult due to the presence of many different biomarkers with variable prognostic value. Furthermore, with the implementation of novel therapies and unprecedented rates of deep and durable responses, it is becoming apparent that risk assessment is best envisioned as a dynamic process that requires ongoing reevaluation. As risk and response-adapted approaches are becoming more commonplace, it is essential that clinicians understand the biological and prognostic implications of clinical, genomic, and response-based biomarkers in order to promote management strategies that will help improve both survival and quality of life for patients across the risk spectrum.
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Affiliation(s)
- Timothy Martin Schmidt
- Correspondence Timothy Martin Schmidt, University of Wisconsin, 600 Highland Avenue, K6/544 Clinical Sciences Center, MC5669, Madison, WI 53792; e-mail:
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32
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MRD in multiple myeloma: does CR really matter? Blood 2022; 140:2423-2428. [PMID: 35560160 DOI: 10.1182/blood.2022016170] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/11/2022] [Accepted: 04/26/2022] [Indexed: 01/01/2023] Open
Abstract
Multiple myeloma embodies the paradigm of the deeper the response, the longer the survival. However, results are conflicting regarding achievement of complete remission (CR) and minimal residual disease (MRD) negativity; some patients with persistent M protein have undetectable MRD. We reviewed the frequency of this discordance and outcomes of these patients. We spotlight possible explanations for and consequences of conflicting response criteria and suggest that MRD be assessed in patients achieving very good partial response or better in clinical trials.
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33
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Shah UA, Maclachlan KH, Derkach A, Salcedo M, Barnett K, Caple J, Blaslov J, Tran L, Ciardiello A, Burge M, Shekarkhand T, Adintori P, Cross J, Pianko MJ, Hosszu K, McAvoy D, Mailankody S, Korde N, Hultcrantz M, Hassoun H, Tan CR, Lu SX, Patel D, Diamond B, Shah G, Scordo M, Lahoud O, Chung DJ, Landau H, Usmani SZ, Giralt S, Taur Y, Landgren CO, Block G, Block T, Peled JU, van den Brink MRM, Lesokhin AM. Sustained Minimal Residual Disease Negativity in Multiple Myeloma is Associated with Stool Butyrate and Healthier Plant-Based Diets. Clin Cancer Res 2022; 28:5149-5155. [PMID: 36170461 PMCID: PMC9722533 DOI: 10.1158/1078-0432.ccr-22-0723] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/23/2022] [Accepted: 09/26/2022] [Indexed: 01/29/2023]
Abstract
PURPOSE Sustained minimal residual disease (MRD) negativity is associated with long-term survival in multiple myeloma. The gut microbiome is affected by diet, and in turn can modulate host immunity, for example through production of short-chain fatty acids including butyrate. We hypothesized that dietary factors affect the microbiome (abundance of butyrate-producing bacteria or stool butyrate concentration) and may be associated with multiple myeloma outcomes. EXPERIMENTAL DESIGN We examined the relationship of dietary factors (via a food frequency questionnaire), stool metabolites (via gas chromatography-mass spectrometry), and the stool microbiome (via 16S sequencing - α-diversity and relative abundance of butyrate-producing bacteria) with sustained MRD negativity (via flow cytometry at two timepoints 1 year apart) in myeloma patients on lenalidomide maintenance. The Healthy Eating Index 2015 score and flavonoid nutrient values were calculated from the food frequency questionnaire. The Wilcoxon rank sum test was used to evaluate associations with two-sided P < 0.05 considered significant. RESULTS At 3 months, higher stool butyrate concentration (P = 0.037), butyrate producers (P = 0.025), and α-diversity (P = 0.0035) were associated with sustained MRD negativity. Healthier dietary proteins, (from seafood and plants), correlated with butyrate at 3 months (P = 0.009) and sustained MRD negativity (P = 0.05). Consumption of dietary flavonoids, plant nutrients with antioxidant effects, correlated with stool butyrate concentration (anthocyanidins P = 0.01, flavones P = 0.01, and flavanols P = 0.02). CONCLUSIONS This is the first study to demonstrate an association between a plant-based dietary pattern, stool butyrate production, and sustained MRD negativity in multiple myeloma, providing rationale to evaluate a prospective dietary intervention.
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Affiliation(s)
- Urvi A. Shah
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Kylee H. Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Andriy Derkach
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Meghan Salcedo
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kelly Barnett
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Julia Caple
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jenna Blaslov
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Linh Tran
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Amanda Ciardiello
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Miranda Burge
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Tala Shekarkhand
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Peter Adintori
- Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Justin Cross
- Donald B. and Catherine C. Marron Cancer Metabolism Center, Sloan Kettering Institute, New York, NY
| | | | - Kinga Hosszu
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Devin McAvoy
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sham Mailankody
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Neha Korde
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Hani Hassoun
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Carlyn R. Tan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Sydney X. Lu
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Palo Alto, CA
| | - Dhwani Patel
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Benjamin Diamond
- Myeloma Program, Department of Medicine, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL
| | - Gunjan Shah
- Department of Medicine, Weill Cornell Medical College, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Michael Scordo
- Department of Medicine, Weill Cornell Medical College, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Oscar Lahoud
- Department of Medicine, Weill Cornell Medical College, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David J. Chung
- Department of Medicine, Weill Cornell Medical College, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Heather Landau
- Department of Medicine, Weill Cornell Medical College, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Saad Z. Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Sergio Giralt
- Department of Medicine, Weill Cornell Medical College, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ying Taur
- Infectious Diseases, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - C. Ola Landgren
- Myeloma Program, Department of Medicine, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL
| | | | | | - Jonathan U. Peled
- Department of Medicine, Weill Cornell Medical College, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Marcel RM van den Brink
- Department of Medicine, Weill Cornell Medical College, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alexander M. Lesokhin
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, New York
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Cai Z, Liu Y, Tang B, Wu Z, Wang Z, Lin R, Xu X, Huang Z, Ou J, Li X, Liu X, Liu Q, Zhou H. Dynamics of minimal residual disease defines a novel risk-classification and the role of allo-HSCT in adult Ph-negative B-cell acute lymphoblastic leukemia. Leuk Lymphoma 2022; 63:3181-3190. [PMID: 36098226 DOI: 10.1080/10428194.2022.2115841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The prognosis of minimal residual disease (MRD) in acute lymphoblastic leukemia (ALL) patients is well established. However, the implementation of dynamic MRD for risk classification and decision-making for allogeneic hematopoietic stem cell transplantation (allo-HSCT) remains vague. In this study, we collected multiparameter flow cytometry (MFC)-MRD data of Ph-negative B-ALL patients (n = 134) from the Precision-Classification-Directed-Target-Total-Therapy-ALL-2016 (PDT-ALL-2016) cohort and stratified it into high-(HR), medium-(MR), and standard-risk (SR) groups. With a median of 3.65 years follow-up (95% CI: 3.037-4.263), 3-year OS rate was 51.8 ± 8.3% in HR, compared with MR 61.5 ± 10.8% (p = 0.472), and SR 73.3 ± 5.9% (p = 0.006). Multivariate analysis shows that integrated dynamic MRD is an independent factor for overall survival. Compared to pediatric-inspired chemotherapy, allo-HSCT significantly improves the survival of the HR cohort (p < 0.001), but not in MR and SR. Finally, our study suggests that integrated dynamic MRD defines a novel risk-classification criteria and highlights the benefits of allo-HSCT in adult patients with Ph-negative ALL.
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Affiliation(s)
- Zihong Cai
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yiqian Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Bingqing Tang
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhengwei Wu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhixiang Wang
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ren Lin
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiuli Xu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zicong Huang
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiawang Ou
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaofang Li
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaoli Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qifa Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hongsheng Zhou
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
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35
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Bal S, Schmidt TM, Costa LJ, Callander NS. Clinical implications of measurable residual disease assessment in multiple myeloma in the era of quadruplet therapy. Leuk Lymphoma 2022; 63:3288-3298. [PMID: 36170061 DOI: 10.1080/10428194.2022.2123231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Multiple myeloma is a complex hematological malignancy with substantial heterogeneity in its clinical manifestations, biological processes, and patient outcomes. Although many biomarkers with have been identified to assist with disease monitoring and prognostication, predictive markers that inform treatment decisions remain elusive. As treatments become more effective, assays for measurable residual disease (MRD) below the level of detection of traditional assays have emerged as an essential component of disease assessment with powerful prognostic value for dynamic risk assessment. As its role as a potentially predictive biomarker continues to evolve, it is increasingly clear that MRD assessment has substantial clinical utility in the evaluation of patients with myeloma. In this review, we will summarize the evidence supporting the role of MRD as a prognostic biomarker and highlight the current clinical implications and future applications of MRD assessment in multiple myeloma.
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Affiliation(s)
- Susan Bal
- Division of Hematology and Medical Oncology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Timothy M Schmidt
- Division of Hematology, Medical Oncology and Palliative Care, University of Wisconsin, Madison, WI, USA
| | - Luciano J Costa
- Division of Hematology and Medical Oncology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Natalie S Callander
- Division of Hematology, Medical Oncology and Palliative Care, University of Wisconsin, Madison, WI, USA
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36
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Dao A, McDonald MM, Savage PB, Little DG, Schindeler A. Preventing osteolytic lesions and osteomyelitis in multiple myeloma. J Bone Oncol 2022; 37:100460. [DOI: 10.1016/j.jbo.2022.100460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 10/16/2022] [Accepted: 10/27/2022] [Indexed: 11/05/2022] Open
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37
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de Tute RM, Pawlyn C, Cairns DA, Davies FE, Menzies T, Rawstron A, Jones JR, Hockaday A, Henderson R, Cook G, Drayson MT, Jenner MW, Kaiser MF, Gregory WM, Morgan GJ, Jackson GH, Owen RG. Minimal Residual Disease After Autologous Stem-Cell Transplant for Patients With Myeloma: Prognostic Significance and the Impact of Lenalidomide Maintenance and Molecular Risk. J Clin Oncol 2022; 40:2889-2900. [PMID: 35377708 DOI: 10.1200/jco.21.02228] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 01/14/2022] [Accepted: 02/08/2022] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Minimal residual disease (MRD) can predict outcomes in patients with multiple myeloma, but limited data are available on the prognostic impact of MRD when assessed at serial time points in the context of maintenance therapy after autologous stem-cell transplant (ASCT) and the interaction between MRD and molecular risk. METHODS Data from a large phase III trial (Myeloma XI) were examined to determine the relationship between MRD status, progression-free survival (PFS), and overall survival (OS) in post-ASCT patients randomly assigned to lenalidomide maintenance or no maintenance at 3 months after ASCT. MRD status was assessed by flow cytometry (median sensitivity 0.004%) before maintenance random assignment (ASCT + 3) and 6 months later (ASCT + 9). RESULTS At ASCT + 3, 475 of 750 (63.3%) patients were MRD-negative and 275 (36.7%) were MRD-positive. MRD-negative status was associated with improved PFS (hazard ratio [HR] = 0.47; 95% CI, 0.37 to 0.58 P < .001) and OS (HR = 0.59; 95% CI, 0.40 to 0.85; P = .0046). At ASCT + 9, 214 of 326 (65.6%) were MRD-negative and 112 (34.4%) were MRD-positive. MRD-negative status was associated with improved PFS (HR = 0.20; 95% CI, 0.13 to 0.31; P < .0001) and OS (HR = 0.33; 95% CI, 0.15 to 0.75; P = .0077). The findings were very similar when restricted to patients with complete response/near complete response. Sustained MRD negativity from ASCT + 3 to ASCT + 9 or the conversion to MRD negativity by ASCT + 9 was associated with the longest PFS/OS. Patients randomly assigned to lenalidomide maintenance were more likely to convert from being MRD-positive before maintenance random assignment to MRD-negative 6 months later (lenalidomide 30%, observation 17%). High-risk molecular features had an adverse effect on PFS and OS even for those patients achieving MRD-negative status. On multivariable analysis of MRD status, maintenance therapy and molecular risk maintained prognostic impact at both ASCT + 3 and ASCT + 9. CONCLUSION In patients with multiple myeloma, MRD status at both ASCT + 3 and ASCT + 9 is a powerful predictor of PFS and OS.
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Affiliation(s)
- Ruth M de Tute
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
| | - Charlotte Pawlyn
- The Institute of Cancer Research, London, United Kingdom
- The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - David A Cairns
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Faith E Davies
- Perlmutter Cancer Center, NYU Langone Health, New York, NY
| | - Tom Menzies
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Andy Rawstron
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
| | - John R Jones
- Eastbourne District General Hospital, Eastbourne, United Kingdom
- Brighton and Sussex Medical School, University of Sussex, Sussex, United Kingdom
- Kings College Hospital, NHS Foundation Trust, London, United Kingdom
| | - Anna Hockaday
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Rowena Henderson
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Gordon Cook
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
- Kings College Hospital, NHS Foundation Trust, London, United Kingdom
| | - Mark T Drayson
- Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
| | - Matthew W Jenner
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Martin F Kaiser
- The Institute of Cancer Research, London, United Kingdom
- The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Walter M Gregory
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | | | - Graham H Jackson
- University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Roger G Owen
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
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38
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Landgren O, Kazandjian D. Modern Myeloma Therapy + Sustained Minimal Residual Disease-Negative = (Functional) Cure! J Clin Oncol 2022; 40:2863-2866. [PMID: 35772041 PMCID: PMC9426854 DOI: 10.1200/jco.22.00622] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/10/2022] [Accepted: 05/07/2022] [Indexed: 11/20/2022] Open
Affiliation(s)
- Ola Landgren
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Dickran Kazandjian
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
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39
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Davies FE, Pawlyn C, Usmani SZ, San-Miguel JF, Einsele H, Boyle EM, Corre J, Auclair D, Cho HJ, Lonial S, Sonneveld P, Stewart AK, Bergsagel PL, Kaiser MF, Weisel K, Keats JJ, Mikhael JR, Morgan KE, Ghobrial IM, Orlowski RZ, Landgren CO, Gay F, Caers J, Chng WJ, Chari A, Walker BA, Kumar SK, Costa LJ, Anderson KC, Morgan GJ. Perspectives on the Risk-Stratified Treatment of Multiple Myeloma. Blood Cancer Discov 2022; 3:273-284. [PMID: 35653112 PMCID: PMC9894570 DOI: 10.1158/2643-3230.bcd-21-0205] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The multiple myeloma treatment landscape has changed dramatically. This change, paralleled by an increase in scientific knowledge, has resulted in significant improvement in survival. However, heterogeneity remains in clinical outcomes, with a proportion of patients not benefiting from current approaches and continuing to have a poor prognosis. A significant proportion of the variability in outcome can be predicted on the basis of clinical and biochemical parameters and tumor-acquired genetic variants, allowing for risk stratification and a more personalized approach to therapy. This article discusses the principles that can enable the rational and effective development of therapeutic approaches for high-risk multiple myeloma.
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Affiliation(s)
| | - Charlotte Pawlyn
- Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom
- The Royal Marsden Hospital, Department of Haematology, London, United Kingdom
| | - Saad Z. Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Hermann Einsele
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | | | - Jill Corre
- Unité de Génomique du Myélome, Institut Universitaire du Cancer, Toulouse France. Institut National de la Santé et de la Recherche Médicale, Paris, France
| | - Daniel Auclair
- The Multiple Myeloma Research Foundation, Norwalk, Connecticut
| | - Hearn Jay Cho
- The Multiple Myeloma Research Foundation, Norwalk, Connecticut
- Multiple Myeloma Center of Excellence, Icahn School of Medicine at Mt. Sinai, New York, New York
| | - Sagar Lonial
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Pieter Sonneveld
- Erasmus MC Cancer Institute, Department of Hematology, Rotterdam, the Netherlands
| | - A. Keith Stewart
- University Health Network and the Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | | | - Martin F. Kaiser
- The Royal Marsden Hospital, Department of Haematology, London, United Kingdom
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Katja Weisel
- Department of Oncology, Hematology and Bone Marrow Transplantation with Section of Pneumology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jonathan J. Keats
- Integrated Cancer Genomics, Translational Genomics Research Institute, Phoenix, Arizona
| | - Joseph R. Mikhael
- Translational Genomics Research Institute, City of Hope Cancer Center, Phoenix, Arizona
| | | | - Irene M. Ghobrial
- Department of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Robert Z. Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - C. Ola Landgren
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Francesca Gay
- Division of Hematology, University of Torino, Torino, Italy
| | - Joseph Caers
- Department of Hematology, Centre Hospitalier Universitaire (CHU) de Liège, Liège, Belgium
| | - Wee Joo Chng
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University, Indianapolis, Indiana
- Department of Hematology, Mayo Clinic, Rochester, Minnesota
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Ajai Chari
- Multiple Myeloma Center of Excellence, Icahn School of Medicine at Mt. Sinai, New York, New York
| | - Brian A. Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University, Indianapolis, Indiana
| | - Shaji K. Kumar
- Department of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Luciano J. Costa
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Kenneth C. Anderson
- Department of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
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40
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Mateos MV, Nooka AK, Larson SM. Moving Toward a Cure for Myeloma. Am Soc Clin Oncol Educ Book 2022; 42:1-12. [PMID: 35623025 DOI: 10.1200/edbk_349603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Historically, multiple myeloma has been considered an incurable disease, mainly because of its recurrence after transient control. However, the landscape of multiple myeloma therapeutics has significantly changed over the last 2 decades, with disease remissions lasting much longer. The advent of modern-day induction regimens, usage of high-dose melphalan followed by autologous stem cell transplantation, and well-tolerated maintenance regimens has resulted in deeper and durable responses, with less frequent disease recurrences, and patients are living much longer. Moreover, the conventional testing for response assessments in multiple myeloma was developed at least 60 years earlier, and there was a clear need for more sensitive diagnostics to test measurable residual disease at deeper levels. Next-generation sequencing and next-generation flow cytometry are highly sensitive techniques that were refined over the last decade and have a sensitivity of 10-5 to 10-6 (1 cell per 100,000/1 million). More recently, immunotherapy strategies-including the cellular therapies-have allowed us to expand our ability to achieve and maintain measurable residual disease negativity even in the refractory setting. These advances have brought us much closer to a cure for multiple myeloma; clearly, it has become more realistically achievable, challenging the dogma of multiple myeloma as an incurable disease.
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Affiliation(s)
- María-Victoria Mateos
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Instituto de Biología Molecular y Celular del Cáncer (Universidad de Salamanca-Consejo Superior de Investigaciones Científicas), CIBERONC, Salamanca, Spain
| | - Ajay K Nooka
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA
| | - Sarah M Larson
- Department of Medicine, Division of Hematology-Oncology, David Geffen School of Medicine at UCLA, Los Angeles, CA.,Jonsson Comprehensive Cancer Center, David Geffen School of Medicine at UCLA, Los Angeles, CA
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41
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Cho H, Shin S, Chung H, Jang JE, Kim YR, Cheong JW, Min YH, Lee ST, Choi JR, Kim JS. Real-world data on prognostic value of measurable residual disease assessment by fragment analysis or next-generation sequencing in multiple myeloma. Br J Haematol 2022; 198:503-514. [PMID: 35505579 DOI: 10.1111/bjh.18211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/07/2022] [Accepted: 04/09/2022] [Indexed: 01/12/2023]
Abstract
Measurable residual disease (MRD) negativity is a strong prognostic indicator in multiple myeloma (MM). However, the optimal use of MRD in daily clinical practice has been hampered by the limited feasibility of MRD testing. Therefore, we examined the clinical relevance of commercially available MRD modalities based on clonality assays by fragment analysis with IdentiClone® (n = 73 patients) and next-generation sequencing (NGS) with LymphoTrack® (n = 116 patients) in newly diagnosed patients with MM who received autologous stem cell transplantation (ASCT). MRD was assessed at the end of induction (pre-ASCT) and/or at 100 days after ASCT (post-ASCT). MRD could not predict survival when assessed by fragment analysis. However, NGS-based MRD negativity at pre- or post-ASCT was beneficial in terms of progression-free and overall survival. Moreover, NGS-based MRD negativity was independently associated with improved progression-free and overall survival, and MRD-positive patients both pre- and post-ASCT had worst outcome. Indeed, initial adverse prognostic features by high-risk cytogenetics could be mitigated upon achieving MRD negativity by NGS. We demonstrate the feasibility and clinical benefit of achieving MRD negativity by commercially available clonality-based MRD assays in MM and support incorporating NGS, but not fragment analysis, to tailor therapeutic strategies in real-world practice.
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Affiliation(s)
- Hyunsoo Cho
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Haerim Chung
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji Eun Jang
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yu Ri Kim
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - June-Won Cheong
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yoo Hong Min
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Seok Kim
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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42
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Morè S, Corvatta L, Manieri VM, Saraceni F, Scortechini I, Mancini G, Fiorentini A, Olivieri A, Offidani M. Autologous Stem Cell Transplantation in Multiple Myeloma: Where Are We and Where Do We Want to Go? Cells 2022; 11:606. [PMID: 35203257 PMCID: PMC8870632 DOI: 10.3390/cells11040606] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/04/2022] [Accepted: 02/07/2022] [Indexed: 12/22/2022] Open
Abstract
The introduction of high-dose therapy in the 1990s as well as the development of drugs such as thalidomide, lenalidomide, and bortezomib in the 2000s led to an impressive improvement in outcome of patients with multiple myeloma (MM) eligible for autologous stem cell transplantation (ASCT). Clinical trials conducted in the first ten years of the twenty-first century established as standard therapy for these patients a therapeutic approach including induction, single or double ASCT, consolidation, and maintenance therapy. More recently, incorporating second-generation proteasome inhibitors carfilzomib and monoclonal antibody daratumumab into each phase of treatment significantly improved the efficacy of ASCT in terms of measurable residual disease (MRD) negativity, Progression Free Survival (PFS), and Overall Survival (OS). The availability of techniques such as multiparameter flow cytometry (MFC) and next-generation sequencing (NGS) for MRD assessment allowed the design of MRD-based response-adjusted trials that will define, in particular, the role of consolidation and maintenance therapies. In this review, we will provide an overview of the most recent evidence and the future prospects of ASCT in MM patients.
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Affiliation(s)
- Sonia Morè
- Clinica di Ematologia, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, 60126 Torrette, Italy; (S.M.); (V.M.M.); (F.S.); (I.S.); (G.M.); (A.F.); (A.O.)
| | - Laura Corvatta
- U.O.C. Medicina, Ospedale Engles Profili, 60044 Fabriano, Italy;
| | - Valentina Maria Manieri
- Clinica di Ematologia, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, 60126 Torrette, Italy; (S.M.); (V.M.M.); (F.S.); (I.S.); (G.M.); (A.F.); (A.O.)
| | - Francesco Saraceni
- Clinica di Ematologia, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, 60126 Torrette, Italy; (S.M.); (V.M.M.); (F.S.); (I.S.); (G.M.); (A.F.); (A.O.)
| | - Ilaria Scortechini
- Clinica di Ematologia, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, 60126 Torrette, Italy; (S.M.); (V.M.M.); (F.S.); (I.S.); (G.M.); (A.F.); (A.O.)
| | - Giorgia Mancini
- Clinica di Ematologia, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, 60126 Torrette, Italy; (S.M.); (V.M.M.); (F.S.); (I.S.); (G.M.); (A.F.); (A.O.)
| | - Alessandro Fiorentini
- Clinica di Ematologia, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, 60126 Torrette, Italy; (S.M.); (V.M.M.); (F.S.); (I.S.); (G.M.); (A.F.); (A.O.)
| | - Attilio Olivieri
- Clinica di Ematologia, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, 60126 Torrette, Italy; (S.M.); (V.M.M.); (F.S.); (I.S.); (G.M.); (A.F.); (A.O.)
| | - Massimo Offidani
- Clinica di Ematologia, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, 60126 Torrette, Italy; (S.M.); (V.M.M.); (F.S.); (I.S.); (G.M.); (A.F.); (A.O.)
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43
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Yan ZL, Wang YW, Chang YJ. Cellular Immunotherapies for Multiple Myeloma: Current Status, Challenges, and Future Directions. Oncol Ther 2022; 10:85-103. [PMID: 35103936 PMCID: PMC9098731 DOI: 10.1007/s40487-022-00186-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 01/20/2022] [Indexed: 11/25/2022] Open
Abstract
Multiple myeloma (MM) remains incurable due to relapse, although the use of proteasome inhibitors, immunomodulatory drugs, CD38-targeting antibodies, and autologous stem cell transplantation (auto-SCT) significantly improve the clinical outcomes of patients with newly diagnosed MM. In recent years, the introduction of chimeric antigen receptor T-cell (CAR T-cell) therapy has brought hope to patients with refractory and relapsed MM. The graft-versus-myeloma effect of allogeneic SCT provides the possibility for curing a subset of MM patients. In this review, we summarize the recent advances and challenges of cellular immunotherapies for MM, focusing on auto-SCT, allogeneic SCT, and CAR T-cell approaches. We also discuss future directions, and propose a specific algorithm for cellular therapies for MM and probability of minimal residual disease-directed therapy.
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Affiliation(s)
- Zhi-Ling Yan
- Deparment of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yue-Wen Wang
- Peking University People's Hospital & Peking University Institute of Hematology, No 11 Xizhimen South Street, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
- Collaborative Innovation Center of Hematology, Peking University, Beijing, People's Republic of China
| | - Ying-Jun Chang
- Peking University People's Hospital & Peking University Institute of Hematology, No 11 Xizhimen South Street, Beijing, 100044, China.
- National Clinical Research Center for Hematologic Disease, Beijing, China.
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China.
- Collaborative Innovation Center of Hematology, Peking University, Beijing, People's Republic of China.
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44
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Charalampous C, Kourelis T. Minimal Residual Disease Assessment in Multiple Myeloma Patients: Minimal Disease With Maximal Implications. Front Oncol 2022; 11:801851. [PMID: 35155198 PMCID: PMC8825476 DOI: 10.3389/fonc.2021.801851] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/29/2021] [Indexed: 11/21/2022] Open
Abstract
Multiple Myeloma (MM), the second most common hematologic malignancy, has been the target of many therapeutic advances over the past two decades. The introduction of novel agents, such as proteasome inhibitors, immunomodulatory drugs, and monoclonal antibodies, along with autologous hematopoietic stem cell transplantation (ASCT) in the current standard of care, has increased the median survival of myeloma patients significantly. Nevertheless, a curative treatment option continues to elude us, and MM remains an incurable disease, with patients relapsing even after achieving deep conventionally defined responses, underscoring the need for the development of sensitive methods that will allow for proper identification and management of the patients with a higher probability of relapse. Accurate detection of Minimal Residual Disease (MRD) from a bone marrow biopsy represents a relatively new approach of evaluating response to treatment with data showing clear benefit from obtaining MRD(-) status at any point of the disease course. As life expectancy for patients with MM continues to increase and deep responses are starting to become the norm, establishing and refining the role of MRD in the disease course is more relevant than ever. This review examines the different methods used to detect MRD and discusses future considerations regarding the implementation in day-to-day clinical practice and as a prospective primary endpoint for clinical trials.
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45
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Kesireddy M, Holstein SA. The era of lenalidomide maintenance therapy in multiple myeloma: settings for achieving best outcomes. Expert Rev Clin Pharmacol 2022; 15:19-31. [DOI: 10.1080/17512433.2022.2032656] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Meghana Kesireddy
- Division of Oncology and Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Sarah A. Holstein
- Division of Oncology and Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
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46
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Guerrero C, Puig N, Cedena MT, Goicoechea I, Perez C, Garces JJ, Botta C, Calasanz MJ, Gutierrez NC, Martin-Ramos ML, Oriol A, Rios R, Hernandez MT, Martinez-Martinez R, Bargay J, de Arriba F, Palomera L, Gonzalez-Rodriguez AP, Mosquera-Orgueira A, Gonzalez-Perez MS, Martinez-Lopez J, Lahuerta JJ, Rosiñol L, Blade J, Mateos MV, San Miguel JF, Paiva B. A machine learning model based on tumor and immune biomarkers to predict undetectable MRD and survival outcomes in multiple myeloma. Clin Cancer Res 2022; 28:2598-2609. [DOI: 10.1158/1078-0432.ccr-21-3430] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/07/2021] [Accepted: 01/19/2022] [Indexed: 11/16/2022]
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47
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Yee AJ, Raje N. Minimal residual disease in multiple myeloma: why, when, where. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2021; 2021:37-45. [PMID: 34889430 PMCID: PMC8791109 DOI: 10.1182/hematology.2021000230] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Improvements in multiple myeloma therapy have led to deeper responses that are beyond the limit of detection by historical immunohistochemistry and conventional flow cytometry in bone marrow samples. In parallel, more sensitive techniques for assessing minimal residual disease (MRD) through next-generation flow cytometry and sequencing have been developed and are now routinely available. Deep responses when measured by these assays correspond with improved outcomes and survival. We review the data supporting MRD testing as well as its limitations and how it may fit in with current and future clinical practice.
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Affiliation(s)
- Andrew J Yee
- Center for Multiple Myeloma, Massachusetts General Hospital Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Noopur Raje
- Center for Multiple Myeloma, Massachusetts General Hospital Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
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48
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Clinical implications of loss of bone marrow minimal residual disease negativity in multiple myeloma. Blood Adv 2021; 6:808-817. [PMID: 34807986 PMCID: PMC8945288 DOI: 10.1182/bloodadvances.2021005822] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/11/2021] [Indexed: 11/20/2022] Open
Abstract
MRD conversion occurs in 39% of MRD− MM patients and reliably predicts future relapse. MRD conversion within 10 years of diagnosis confers an inferior overall survival and progress-free survival.
Multiple myeloma (MM) patients frequently attain a bone marrow (BM) minimal residual disease (MRD) negativity status in response to treatment. We identified 568 patients who achieved BM MRD negativity following autologous stem cell transplantation (ASCT) and maintenance combination therapy with an immunomodulatory agent and a proteasome inhibitor. BM MRD was evaluated by next-generation flow cytometry (sensitivity of 10−5 cells) at 3- to 6-month intervals. With a median follow-up of 9.9 years from diagnosis (range, 0.4-30.9), 61% of patients maintained MRD negativity, whereas 39% experienced MRD conversion at a median of 6.3 years (range, 1.4-25). The highest risk of MRD conversion occurred within the first 5 years after treatment and was observed more often in patients with abnormal metaphase cytogenetic abnormalities (95% vs 84%; P = .001). MRD conversion was associated with a high risk of relapse and preceded it by a median of 1.0 years (range, 0-4.9). However, 27% of MRD conversion-positive patients had not yet experienced a clinical relapse, with a median follow-up of 9.3 years (range, 2.2-21.2). Landmark analyses using time from ASCT revealed patients with MRD conversion during the first 3 years had an inferior overall and progression-free survival compared with patients with sustained MRD negativity. MRD conversion correctly predicted relapse in 70%, demonstrating the utility of serial BM MRD assessment to complement standard laboratory and imaging to make informed salvage therapy decisions.
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49
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Suzuki K, Nishiwaki K, Yano S. Treatment Strategy for Multiple Myeloma to Improve Immunological Environment and Maintain MRD Negativity. Cancers (Basel) 2021; 13:4867. [PMID: 34638353 PMCID: PMC8508145 DOI: 10.3390/cancers13194867] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 09/21/2021] [Accepted: 09/24/2021] [Indexed: 02/06/2023] Open
Abstract
Improving the immunological environment and eradicating minimal residual disease (MRD) are the two main treatment goals for long-term survival in patients with multiple myeloma (MM). Immunomodulatory drugs (IMiDs), monoclonal antibody drugs (MoAbs), and autologous grafts for autologous stem cell transplantation (ASCT) can improve the immunological microenvironment. ASCT, MoAbs, and proteasome inhibitors (PIs) may be important for the achievement of MRD negativity. An improved immunological environment may be useful for maintaining MRD negativity, although the specific treatment for persistent MRD negativity is unknown. However, whether the ongoing treatment should be continued or changed if the MRD status remains positive is controversial. In this case, genetic, immunophenotypic, and clinical analysis of residual myeloma cells may be necessary to select the effective treatment for the residual myeloma cells. The purpose of this review is to discuss the MM treatment strategy to "cure MM" based on currently available therapies, including IMiDs, PIs, MoAbs, and ASCT, and expected immunotherapies, such as chimeric antigen receptor T cell (CAR-T) therapy, via improvement of the immunological environment and maintenance of MRD negativity.
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Affiliation(s)
- Kazuhito Suzuki
- Department of Internal Medicine, Division of Clinical Oncology and Hematology, The Jikei University Kashiwa Hospital, Tokyo 277-8567, Japan;
- Department of Internal Medicine, Division of Clinical Oncology and Hematology, The Jikei University School of Medicine, Tokyo 105-8461, Japan;
| | - Kaichi Nishiwaki
- Department of Internal Medicine, Division of Clinical Oncology and Hematology, The Jikei University Kashiwa Hospital, Tokyo 277-8567, Japan;
- Department of Internal Medicine, Division of Clinical Oncology and Hematology, The Jikei University School of Medicine, Tokyo 105-8461, Japan;
| | - Shingo Yano
- Department of Internal Medicine, Division of Clinical Oncology and Hematology, The Jikei University School of Medicine, Tokyo 105-8461, Japan;
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50
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Requirements for operational cure in multiple myeloma. Blood 2021; 138:1406-1411. [PMID: 34324647 DOI: 10.1182/blood.2021012854] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 07/26/2021] [Indexed: 11/20/2022] Open
Abstract
Multiple myeloma is usually considered as an incurable disease. However, with the therapeutic improvement observed in the last few years, achievement of an "operational" cure is increasingly becoming a realistic goal. The advent of novel agents, with or without high-dose chemotherapy and autologous transplantation, uncovered a correlation between the depth of response to treatment and the outcome. Of note, minimal residual disease (MRD) negativity is increasingly shown to be associated with improved progression-free survival (PFS), and MRD status is becoming a well-established and strong prognostic factor. Here, we discuss the impact of MRD negativity on PFS and long-term disease control, as a surrogate for a potential cure in a significant proportion of patients. The MRD value and impact should be examined by focusing on different parameters: (i) sensitivity or lower limit of detection level (method used); (ii) timing of assessment and sustainability (iii) type and duration of treatment; (iv) initial prognostic factors (most importantly, cytogenetics) and (v) patient age. Currently, the highest probability of an operational cure is in younger patients receiving the most active drugs, in combination with autologous transplantation followed by maintenance therapy. Older patients are also likely to achieve operational cure, especially if they are treated upfront with an anti-CD38 antibody-based therapy, but also with novel immunotherapies in future protocols. The incorporation of MRD as a surrogate endpoint in clinical trials, would allow the shortening of these, leading to more personalised management, and achievement of long-term cure.
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