1
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Cui QQ, Li ZH, Ma YP. MRD dynamics during maintenance therapy in 259 patients with nontransplant eligible multiple myeloma. Leuk Lymphoma 2024:1-8. [PMID: 38814179 DOI: 10.1080/10428194.2024.2358857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Accepted: 05/19/2024] [Indexed: 05/31/2024]
Abstract
This study explored the impact of different maintenance therapies on survival outcomes in patients with multiple myeloma (MM), focusing on changes in minimal residual disease (MRD) during maintenance. Conducted at a single center, this retrospective study included 259 newly diagnosed MM patients who did not undergo autologous stem cell transplantation (ASCT). The results indicated that patients receiving lenalidomide as maintenance therapy showed significantly better progression-free survival (PFS) and overall survival (OS) compared to those treated with bortezomib or no maintenance therapy. However, bortezomib proved more effective in high-risk MM cases. Patients who were MRD-negative prior to starting maintenance therapy had a better prognosis than MRD-positive patients. Notably, lenalidomide was the most effective regimen irrespective of MRD status. Patients maintaining or achieving MRD-negativity within the first year of lenalidomide treatment exhibited improved prognoses, confirming lenalidomide as the optimal maintenance choice.
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Affiliation(s)
- Qian-Qian Cui
- Master's Degree Student, Shanxi Medical University, Jinzhong, China
| | - Zhi-Hua Li
- Sinopharm Tongmei General Hospital, Datong, China
| | - Yan-Ping Ma
- Second Hospital of Shanxi Medical University, Taiyuan, China
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2
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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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3
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Liu Z, Shen H, Han M, Zhao X, Liu H, Ding K, Song J, Fu R. Immune profiles to predict bortezomib-based treatment response for multiple myeloma patients. Int Immunopharmacol 2024; 130:111640. [PMID: 38377849 DOI: 10.1016/j.intimp.2024.111640] [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: 11/10/2023] [Revised: 01/30/2024] [Accepted: 01/30/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND To evaluate the distribution of bone marrow immune cell subsets and their correlation with treatment efficacy in patients with multiple myeloma (MM). METHODS We analyzed the bone marrow lymphocyte subsets of 186 newly diagnosed MM patients at diagnosis and their correlation with clinical characteristics. In our study, eight-color flow cytometry, a method commonly used to detect plasma cell phenotypes, was used to analyze seven bone marrow immune cell groups by change gate-strategy. RESULTS First, for all the 7 immune cell groups, the percentage of immature B cells was significantly lower in stage III patients than in stage I patients, while the trend was reversed in memory B cells in both the International Staging System(p = 0.004) and Revised International Staging System(p = 0.018). Second, the percentage of naïve B cells were significantly lower in patients with severe anemia, while the percentage of memory B cells had reversed trend. The percentage of immature B cells were lower in patients with Cr ≥ 2 mg/dL than in patients with Cr < 2 mg/dL. Then we followed the treatment efficacy of 152 patients who received four cycles of induction therapy (bortezomib + dexamethasone or bortezomib + lenalidomide + dexamethasone) and analyzed the relationship between bone marrow lymphocyte subsets at the initial stage and treatment response datasets. We found that both the percentage of B cells(p<0.001) and immature B(p = 0.002) were increased in patients who achieved very good partial remission(VGPR) after four cycles of induction therapy. The ROC results indicated the combination of the multiple immune subgroups had predictive values (AUC = 0.802, p<0.001) in the treatment effect after four cycles of induction therapy. CONCLUSIONS Overall, these results suggest that the analysis of lymphocyte subsets along with plasma cell immunophenotyping could be a potential index for determining the prognosis of MM patients.
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Affiliation(s)
- Zhaoyun Liu
- Department of Hematology, Tianjin Medical University General Hospital, 154 Anshan Street, Heping District, Tianjin 300052, PR China; Tianjin Key Laboratory of Bone Marrow Failure and Malignant Hemopoietic Clone Control, Tianjin 300052 P. R. China.
| | - Hongli Shen
- Department of Hematology, Tianjin Medical University General Hospital, 154 Anshan Street, Heping District, Tianjin 300052, PR China; Tianjin Key Laboratory of Bone Marrow Failure and Malignant Hemopoietic Clone Control, Tianjin 300052 P. R. China
| | - Mei Han
- Department of Hematology, Tianjin Medical University General Hospital, 154 Anshan Street, Heping District, Tianjin 300052, PR China; Tianjin Key Laboratory of Bone Marrow Failure and Malignant Hemopoietic Clone Control, Tianjin 300052 P. R. China
| | - Xianghong Zhao
- Department of Hematology, Tianjin Medical University General Hospital, 154 Anshan Street, Heping District, Tianjin 300052, PR China; Tianjin Key Laboratory of Bone Marrow Failure and Malignant Hemopoietic Clone Control, Tianjin 300052 P. R. China
| | - Hui Liu
- Department of Hematology, Tianjin Medical University General Hospital, 154 Anshan Street, Heping District, Tianjin 300052, PR China; Tianjin Key Laboratory of Bone Marrow Failure and Malignant Hemopoietic Clone Control, Tianjin 300052 P. R. China
| | - Kai Ding
- Department of Hematology, Tianjin Medical University General Hospital, 154 Anshan Street, Heping District, Tianjin 300052, PR China; Tianjin Key Laboratory of Bone Marrow Failure and Malignant Hemopoietic Clone Control, Tianjin 300052 P. R. China
| | - Jia Song
- Department of Hematology, Tianjin Medical University General Hospital, 154 Anshan Street, Heping District, Tianjin 300052, PR China; Tianjin Key Laboratory of Bone Marrow Failure and Malignant Hemopoietic Clone Control, Tianjin 300052 P. R. China
| | - Rong Fu
- Department of Hematology, Tianjin Medical University General Hospital, 154 Anshan Street, Heping District, Tianjin 300052, PR China; Tianjin Key Laboratory of Bone Marrow Failure and Malignant Hemopoietic Clone Control, Tianjin 300052 P. R. China.
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4
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Óskarsson JÞ, Rögnvaldsson S, Thorsteinsdottir S, Aspelund T, Gunnarsson SB, Hákonardóttir GK, Sigurðardóttir GÁ, Þórðardóttir ÁR, Gíslason GK, Ólafsson A, Sigurðsson JK, Eyþórsson E, Jónsson Á, Viðarsson B, Önundarson PT, Agnarsson BA, Pálmason R, Sigurðardóttir M, Þorsteinsdóttir I, Ólafsson Í, Harding S, Flores-Montero J, Orfao A, Durie BGM, Love TJ, Kristinsson SY. Determining hemodilution in diagnostic bone marrow aspirated samples in plasma cell disorders by next-generation flow cytometry: Proposal for a bone marrow quality index. Blood Cancer J 2023; 13:177. [PMID: 38040702 PMCID: PMC10692231 DOI: 10.1038/s41408-023-00951-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023] Open
Abstract
Hemodilution of bone marrow (BM) aspirates is a limitation of multiparameter flow cytometry (MFC) in plasma cell disorders. There is a need for a validated approach for assessing sample quality and the distribution of non-plasma cell BM populations by MFC could provide a solution. We evaluated BM-associated cell populations, assessed by next-generation flow cytometry (NGF) and white blood cell (WBC) count in 351 BM aspirated samples from 219 participants with plasma cell disorders in the Iceland Screens, Treats, or Prevents MM study (iStopMM), as markers of hemodilution by their discriminatory ability between first and (generally more hemodiluted) second pull BM aspirated samples. The most discriminating markers were used to derive a novel BM quality index (BMQI). Nucleated red blood cells and myeloid precursors provided the greatest discriminatory ability between first vs second pull samples (area under the curve (AUC): 0.87 and 0.85, respectively), significantly better than B cell precursors (AUC = 0.64; p < 0.001), mast cells (AUC = 0.65; p < 0.001), and the BM WBC count (AUC = 0.77; p < 0.05). We generated a novel BMQI that is intrinsic to current NGF protocols, for evaluating quality of diagnostic BM samples and suggest the use of a BMQI scoring system for interpreting results and guiding appropriate actions.
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Affiliation(s)
| | - Sæmundur Rögnvaldsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
| | - Sigrun Thorsteinsdottir
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
| | - Thor Aspelund
- Public Health Sciences, University of Iceland, Reykjavík, Iceland
| | | | | | | | | | | | - Andri Ólafsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | | | | | | | | | | | | | - Róbert Pálmason
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | | | | | | | | | - Juan Flores-Montero
- Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service (NUCLEUS), University of Salamanca; Biomedical Research Institute of Salamanca (IBSAL) and CIBERONC, Salamanca, Spain
| | - Alberto Orfao
- Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service (NUCLEUS), University of Salamanca; Biomedical Research Institute of Salamanca (IBSAL) and CIBERONC, Salamanca, Spain
| | - Brian G M Durie
- Cedars-Sinai Samuel Oschin Cancer Center, Los Angeles, CA, USA
| | - Thorvardur Jon Love
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
| | - Sigurdur Yngvi Kristinsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali University Hospital, Reykjavík, Iceland
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5
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Botta C, Perez C, Larrayoz M, Puig N, Cedena MT, Termini R, Goicoechea I, Rodriguez S, Zabaleta A, Lopez A, Sarvide S, Blanco L, Papetti DM, Nobile MS, Besozzi D, Gentile M, Correale P, Siragusa S, Oriol A, González-Garcia ME, Sureda A, de Arriba F, Rios Tamayo R, Moraleda JM, Gironella M, Hernandez MT, Bargay J, Palomera L, Pérez-Montaña A, Goldschmidt H, Avet-Loiseau H, Roccaro A, Orfao A, Martinez-Lopez J, Rosiñol L, Lahuerta JJ, Blade J, Mateos MV, San-Miguel JF, Martinez Climent JA, Paiva B. Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance. Nat Commun 2023; 14:5825. [PMID: 37730678 PMCID: PMC10511411 DOI: 10.1038/s41467-023-41562-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 09/07/2023] [Indexed: 09/22/2023] Open
Abstract
Tumor recognition by T cells is essential for antitumor immunity. A comprehensive characterization of T cell diversity may be key to understanding the success of immunomodulatory drugs and failure of PD-1 blockade in tumors such as multiple myeloma (MM). Here, we use single-cell RNA and T cell receptor sequencing to characterize bone marrow T cells from healthy adults (n = 4) and patients with precursor (n = 8) and full-blown MM (n = 10). Large T cell clones from patients with MM expressed multiple immune checkpoints, suggesting a potentially dysfunctional phenotype. Dual targeting of PD-1 + LAG3 or PD-1 + TIGIT partially restored their function in mice with MM. We identify phenotypic hallmarks of large intratumoral T cell clones, and demonstrate that the CD27- and CD27+ T cell ratio, measured by flow cytometry, may serve as a surrogate of clonal T cell expansions and an independent prognostic factor in 543 patients with MM treated with lenalidomide-based treatment combinations.
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Grants
- This work was supported by grants from the Instituto de Salud Carlos III/Subdireccion General de Investigacion Sanitaria and co-financed by FEDER funds (CB16/12/00233, CB16/12/00369, PI17/01243, PI19/00818 and PI20/00048), and together with Fundación Científica de la Asociación Española Contra el Cáncer (FCAECC) for iMMunocell Transcan-2 (AC17/00101), FCAECC Predoctoral Grant Junta Provincial Navarra, the Cancer Research UK (C355/A26819), FCAECC and Italian Association for Cancer Research (AIRC) under the Accelerator Award Program (EDITOR), 2017 Multiple Myeloma Research Foundation Immunotherapy Networks of Excellence, Black Swan Research Initiative of the International Myeloma Foundation, European Hematology Association nonclinical advanced research grant (3680644), European Research Council 2015 Starting Grant (MYELOMANEXT grant 680200), the Cancer Research Innovation in Science Cancer Foundation (PR_EX_2020-02), the Leukemia Lymphoma Society, unrestricted grants from Bristol-Myers Squibb/Celgene and Takeda, Roche imCORE program (NAV-4 and NAV-15), Fondazione Regionale per la Ricerca Biomedica (Regione Lombardia) (Project ID 065 JTC 2016), ERA-NET TRANSCAN-2, and by My First AIRC Grant 2020 (n. 24534, 2021/2026), and by the Riney Family Multiple Myeloma Research Program Fund.
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Affiliation(s)
- Cirino Botta
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy.
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain.
| | - Cristina Perez
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Marta Larrayoz
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Noemi Puig
- Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca (IBSAL), Centro de Investigación del Cancer (IBMCC-USAL, CSIC), CIBER-ONC number CB16/12/00233, Salamanca, Spain
| | - Maria-Teresa Cedena
- Hospital Universitario 12 de Octubre, CIBER-ONC number CB16/12/00369, Madrid, Spain
| | - Rosalinda Termini
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Ibai Goicoechea
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Sara Rodriguez
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Aintzane Zabaleta
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Aitziber Lopez
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Sarai Sarvide
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Laura Blanco
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Daniele M Papetti
- Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy
| | - Marco S Nobile
- Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Venice, Italy
- Bicocca Bioinformatics, Biostatistics and Bioimaging Centre-B4, Milan, Italy
| | - Daniela Besozzi
- Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy
- Bicocca Bioinformatics, Biostatistics and Bioimaging Centre-B4, Milan, Italy
| | - Massimo Gentile
- Department of Oncohematology, "Annunziata" Hospital, Cosenza, Italy
| | - Pierpaolo Correale
- Medical Oncology Unit, Great Metropolitan Hospital "Riuniti" of Reggio Calabria, Reggio Calabria, Italy
| | - Sergio Siragusa
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy
| | - Albert Oriol
- Institut Català d'Oncologia i Institut Josep Carreras, Badalona, Spain
| | | | - Anna Sureda
- Institut Català d'Oncologia-Hospitalet, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Felipe de Arriba
- Hospital Morales Meseguer, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
| | | | - Jose-Maria Moraleda
- Hospital Morales Meseguer, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
| | | | | | - Joan Bargay
- Hospital Son Llatzer, Palma de Mallorca, Spain
| | | | | | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | | | - Aldo Roccaro
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, BS, Italy
| | - Alberto Orfao
- Cancer Research Center (IBMCC-CSIC/USAL-IBSAL), CIBER-ONC number CB16/12/00400, Salamanca, Spain
- Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Salamanca, Spain
| | | | | | - Juan-José Lahuerta
- Hospital Universitario 12 de Octubre, CIBER-ONC number CB16/12/00369, Madrid, Spain
| | - Joan Blade
- Hospital Clínic IDIBAPS, Barcelona, Spain
| | - Maria-Victoria Mateos
- Hospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca (IBSAL), Centro de Investigación del Cancer (IBMCC-USAL, CSIC), CIBER-ONC number CB16/12/00233, Salamanca, Spain
| | - Jesús F San-Miguel
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Jose-Angel Martinez Climent
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain
| | - Bruno Paiva
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), CCUN, Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC numbers CB16/12/00369, CB16/12/00489, Pamplona, Spain.
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6
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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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7
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Luoma S, Sergeev P, Javarappa KK, Öhman TJ, Varjosalo M, Säily M, Anttila P, Sankelo M, Partanen A, Nihtinen A, Heckman CA, Silvennoinen R. Deep Immune Profiling of Multiple Myeloma at Diagnosis and under Lenalidomide Maintenance Therapy. Cancers (Basel) 2023; 15:cancers15092604. [PMID: 37174069 PMCID: PMC10177338 DOI: 10.3390/cancers15092604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/26/2023] [Accepted: 05/01/2023] [Indexed: 05/15/2023] Open
Abstract
The bone marrow microenvironment interacts with malignant cells and regulates cancer survival and immune evasion in multiple myeloma (MM). We investigated the immune profiles of longitudinal bone marrow samples from patients with newly diagnosed MM (n = 18) using cytometry by time-of-flight. The results before and during treatment were compared between patients with good (GR, n = 11) and bad (BR, n = 7) responses to lenalidomide/bortezomib/dexamethasone-based treatment. Before treatment, the GR group had a lower tumor cell burden and a higher number of T cells with a phenotype shifted toward CD8+ T cells expressing markers attributed to cytotoxicity (CD45RA and CD57), a higher abundance of CD8+ terminal effector cells, and a lower abundance of CD8+ naïve T cells. On natural killer (NK) cells, increased expression of CD56 (NCAM), CD57, and CD16 was seen at baseline in the GR group, indicating their maturation and cytotoxic potential. During lenalidomide-based treatment, the GR patients showed an increase in effector memory CD4+ and CD8+ T-cell subsets. These findings support distinct immune patterns in different clinical contexts, suggesting that deep immune profiling could be used for treatment guidance and warrants further exploration.
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Affiliation(s)
- Sini Luoma
- Department of Hematology, Comprehensive Cancer Center, Helsinki University Hospital and University of Helsinki, 00290 Helsinki, Finland
| | - Philipp Sergeev
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, 00290 Helsinki, Finland
| | - Komal Kumar Javarappa
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, 00290 Helsinki, Finland
| | - Tiina J Öhman
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland
| | - Markku Varjosalo
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland
| | - Marjaana Säily
- Hematology-Oncology Unit, Oulu University Hospital, 90220 Oulu, Finland
| | - Pekka Anttila
- Department of Hematology, Comprehensive Cancer Center, Helsinki University Hospital and University of Helsinki, 00290 Helsinki, Finland
| | - Marja Sankelo
- Hematology Unit, Department of Internal Medicine, Tampere University Hospital, 33520 Tampere, Finland
| | - Anu Partanen
- Department of Medicine, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Anne Nihtinen
- Department of Internal Medicine, North Carelia Central Hospital, 80210 Joensuu, Finland
| | - Caroline A Heckman
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, 00290 Helsinki, Finland
| | - Raija Silvennoinen
- Department of Hematology, Comprehensive Cancer Center, Helsinki University Hospital and University of Helsinki, 00290 Helsinki, Finland
- Department of Medicine, Kuopio University Hospital, 70210 Kuopio, Finland
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8
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Suzuki K, Yano S. Treatment Strategy for Ultra-High-Risk Multiple Myelomas with Chromosomal Aberrations Considering Minimal Residual Disease Status and Bone Marrow Microenvironment. Cancers (Basel) 2023; 15:cancers15092418. [PMID: 37173885 PMCID: PMC10177433 DOI: 10.3390/cancers15092418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/12/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
Despite the development of anti-myeloma therapeutics, such as proteasome inhibitors, immunomodulatory drugs, anti-CD38 monoclonal antibodies, and autologous stem cell transplantation (ASCT), multiple myeloma remains incurable. A trial treatment combining four drugs-daratumumab, carfilzomib, lenalidomide, and dexamethasone-followed by ASCT frequently results in minimal residual disease (MRD) negativity and prevents progressive disease in patients with standard- and high-risk cytogenetics; however, it is insufficient to overcome the poor outcomes in patients with ultra-high-risk chromosomal aberration (UHRCA). In fact, MRD status in autografts can predict clinical outcomes after ASCT. Therefore, the current treatment strategy might be insufficient to overcome the negative impact of UHRCA in patients with MRD positivity after the four-drug induction therapy. High-risk myeloma cells lead to poor clinical outcomes not only by aggressive myeloma behavior but also via the generation of a poor bone marrow microenvironment. Meanwhile, the immune microenvironment effectively suppresses myeloma cells with a low frequency of high-risk cytogenetic abnormalities in early-stage myeloma compared to late-stage myeloma. Therefore, early intervention might be key to improving clinical outcomes in myeloma patients. The purpose of this review is to improve clinical outcomes in patients with UHRCA by considering MRD assessment results and improvement of the microenvironment.
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Affiliation(s)
- Kazuhito Suzuki
- Division of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo 105-0003, Japan
| | - Shingo Yano
- Division of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo 105-0003, Japan
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9
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Cordone I, Amodeo R, Bellesi S, Bottan F, Buccisano F, De Propris MS, Masi S, Panichi V, Scerpa MC, Annibali O, Bongarzoni V, Caravita di Toritto T, Coppetelli U, Cupelli L, de Fabritiis P, Franceschini L, Garzia M, Fiorini A, Laverde G, Mengarelli A, Za T, Petrucci MT. Consensus for Flow Cytometry Clinical Report on Multiple Myeloma: A Multicenter Harmonization Process Merging Laboratory Experience and Clinical Needs. Cancers (Basel) 2023; 15:cancers15072060. [PMID: 37046720 PMCID: PMC10093543 DOI: 10.3390/cancers15072060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/14/2023] [Accepted: 03/14/2023] [Indexed: 04/03/2023] Open
Abstract
Flow cytometry is a highly sensitive and specific approach for discriminating between normal and clonal plasma cells in multiple myeloma. Uniform response criteria after treatment have been established by the International Myeloma Working Group and the EuroFlow Group; however, the way in which flow cytometry data are reported has suffered from no collaborative or multicentre efforts. This study, involving 8 expert laboratories and 12 clinical hematology units of the Lazio region in Italy, aims to produce a uniform and shared report among the various Centres. From the pre-analytical phase to sample processing, data acquisition, analysis, and evaluation of the potential limitations and pitfalls of the entire process, the study reaches a final conclusion shared by laboratories and clinicians according to the most updated principles and recommendations. The aim was to identify the necessary data to be included in the clinical report by using multiple-choice questionnaires at every single stage of the process. An agreement of more than 75% of the laboratories was considered mandatory for the data to be included in the report. By ensuring the operational autonomy of each laboratory, this study provides a clear report that limits subjective interpretations and highlights possible bias in the process, better supporting clinical decision-making.
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Affiliation(s)
- Iole Cordone
- Department of Research, Advanced Diagnostic and Technological Innovation, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
- Correspondence: ; Tel.: +39-065-266-5110
| | - Rachele Amodeo
- Clinical Pathology and Biochemistry Unit, Sant’Andrea University Hospital, 00189 Rome, Italy
| | - Silvia Bellesi
- Department of Diagnostic Imaging, Oncological Radiotherapy and Haematology, IRCCS Foundation A. Gemelli University Hospital, 00168 Rome, Italy
| | - Fiorella Bottan
- Clinical Pathology Unit, San Giovanni Addolorata Hospital, 00184 Rome, Italy
| | - Francesco Buccisano
- Haematology and Stem Cell Transplant Unit, Department of Biomedicine and Prevention, University of Rome ‘Tor Vergata’, 00133 Rome, Italy
| | - Maria Stefania De Propris
- Immunophenotype Laboratory, Department of Translational and Precision Medicine, ‘Sapienza’ University, 00185 Rome, Italy
| | - Serena Masi
- Department of Research, Advanced Diagnostic and Technological Innovation, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
| | - Valentina Panichi
- Microbiology and Virology Unit, Department of Oncology and Haematology, Belcolle Central Hospital, 01100 Viterbo, Italy
| | - Maria Cristina Scerpa
- Haematology and Stem Cell Unit, Santa Maria Goretti Hospital, ASL Latina, 04100 Latina, Italy
| | - Ombretta Annibali
- Haematology and Stem Cell Transplant Unit, Campus Bio-Medico University, 00128 Rome, Italy
| | - Velia Bongarzoni
- Haematology Unit, San Giovanni Addolorata Hospital, 00184 Rome, Italy
| | | | - Ugo Coppetelli
- Haematology and Stem Cell Unit, Santa Maria Goretti Hospital, ASL Latina, 04100 Latina, Italy
| | - Luca Cupelli
- Haematology Unit, Sant’Eugenio Hospital, ASL Roma 2, 00144 Rome, Italy
| | | | - Luca Franceschini
- Haematology and Stem Cell Transplant Unit, Department of Biomedicine and Prevention, University of Rome ‘Tor Vergata’, 00133 Rome, Italy
| | - Mariagrazia Garzia
- Haematology and Stem Cell Transplant Unit, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Alessia Fiorini
- Department of Oncology and Haematology, Belcolle Central Hospital, 01100 Viterbo, Italy
| | - Giacinto Laverde
- Haematology Unit, Sant’Andrea University Hospital, 00189 Rome, Italy
| | - Andrea Mengarelli
- Department of Research and Clinical Oncology, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
| | - Tommaso Za
- Department of Diagnostic Imaging, Oncological Radiotherapy and Haematology, IRCCS Foundation A. Gemelli University Hospital, 00168 Rome, Italy
| | - Maria Teresa Petrucci
- Haematology Unit, Department of Translational and Precision Medicine, ‘Sapienza’ University, 00185 Rome, Italy
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10
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Burgos L, Tamariz-Amador LE, Puig N, Cedena MT, Guerrero C, Jelínek T, Johnson S, Milani P, Cordon L, Perez JJ, Lasa M, Termini R, Oriol A, Hernandez MT, Palomera L, Martinez-Martinez R, de la Rubia J, de Arriba F, Rios R, Gonzalez ME, Gironella M, Cabañas V, Casanova M, Krsnik I, Perez-Montaña A, González-Calle V, Rodriguez-Otero P, Maisnar V, Hajek R, Van Rhee F, Jimenez-Zepeda V, Palladini G, Merlini G, Orfao A, de la Cruz J, Martinez-Lopez J, Lahuerta JJ, Rosiñol L, Blade J, Mateos MV, San-Miguel JF, Paiva B. Definition and Clinical Significance of the Monoclonal Gammopathy of Undetermined Significance-Like Phenotype in Patients With Monoclonal Gammopathies. J Clin Oncol 2023; 41:3019-3031. [PMID: 36930848 DOI: 10.1200/jco.22.01916] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
PURPOSE The existence of patients with multiple myeloma (MM) and light-chain (AL) amyloidosis who present with a monoclonal gammopathy of undetermined significance (MGUS)-like phenotype has been hypothesized, but methods to identify this subgroup are not standardized and its clinical significance is not properly validated. PATIENTS AND METHODS An algorithm to identify patients having MGUS-like phenotype was developed on the basis of the percentages of total bone marrow (BM) plasma cells (PC) and of clonal PC within the BM PC compartment, determined at diagnosis using flow cytometry in 548 patients with MGUS and 2,011 patients with active MM. The clinical significance of the algorithm was tested and validated in 488 patients with smoldering MM, 3,870 patients with active MM and 211 patients with AL amyloidosis. RESULTS Patients with smoldering MM with MGUS-like phenotype showed significantly lower rates of disease progression (4.5% and 0% at 2 years in two independent series). There were no statistically significant differences in time to progression between treatment versus observation in these patients. In active newly diagnosed MM, MGUS-like phenotype retained independent prognostic value in multivariate analyses of progression-free survival (PFS; hazard ratio [HR], 0.49; P = .001) and overall survival (OS; HR, 0.56; P = .039), together with International Staging System, lactate dehydrogenase, cytogenetic risk, transplant eligibility, and complete remission status. Transplant-eligible patients with active MM with MGUS-like phenotype showed PFS and OS rates at 5 years of 79% and 96%, respectively. In this subgroup, there were no differences in PFS and OS according to complete remission and measurable residual disease status. Application of the algorithm in two independent series of patients with AL predicted for different survival. CONCLUSION We developed an open-access algorithm for the identification of MGUS-like patients with distinct clinical outcomes. This phenotypic classification could become part of the diagnostic workup of MM and AL amyloidosis.
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Affiliation(s)
- Leire Burgos
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Luis-Esteban Tamariz-Amador
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Noemi Puig
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Maria-Teresa Cedena
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Camila Guerrero
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Tomas Jelínek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Sarah Johnson
- Myeloma Center/Division of Hematology Oncology/Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Paolo Milani
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | - Jose J Perez
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Marta Lasa
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Rosalinda Termini
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Albert Oriol
- Institut Català d'Oncologia and Institut Josep Carreras, Hospital Germans Trias i Pujol, Barcelona, Spain
| | | | - Luis Palomera
- Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | | | | | - Felipe de Arriba
- Hospital Morales Meseguer, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
| | - Rafael Rios
- Hospital Universitario Puerta de Hierro, Hospital, Madrid, Spain
| | | | - Mercedes Gironella
- Department of Hematology, University Hospital Vall d'Hebron, Barcelona, Spain
| | - Valentin Cabañas
- Hospital Clínico Universitario Virgen de la Arrixaca. IMIB-Arrixaca. University of Murcia, Murcia, Spain
| | - Maria Casanova
- Hematology Department, Hospital Costa del Sol Marbella, Marbella, Spain
| | - Isabel Krsnik
- Hospital Universitario Puerta de Hierro, Hospital, Madrid, Spain
| | | | - Verónica González-Calle
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Paula Rodriguez-Otero
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Vladimir Maisnar
- 4th Department of Medicine-Haematology, Charles University Hospital, Hradec Králové, Czech Republic
| | - Roman Hajek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Fritz Van Rhee
- Myeloma Center/Division of Hematology Oncology/Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Victor Jimenez-Zepeda
- Tom Baker Cancer Center, Department of Hematology, University of Calgary, Calgary, AB, Canada
| | - Giovanni Palladini
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Giampaolo Merlini
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Alberto Orfao
- Hospital Universitario de Salamanca (HUSAL), IBSAL, Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service, University of Salamanca, CIBERONC, Salamanca, Spain
| | - Javier de la Cruz
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Joaquin Martinez-Lopez
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Juan-Jose Lahuerta
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Laura Rosiñol
- Amyloidosis and Myeloma Unit. Department of Hematology. Hospital Clínic de Barcelona. IDIBAPS., Barcelona, Spain
| | - Joan Blade
- Amyloidosis and Myeloma Unit. Department of Hematology. Hospital Clínic de Barcelona. IDIBAPS., Barcelona, Spain
| | - Maria-Victoria Mateos
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Jesus F San-Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Bruno Paiva
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
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11
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Ficek J, Kalaitzaki E, Yuan SS, Tosolini A, Du L, Kremer BE, Davy K, Zhou H, Chen TT. Association of Minimal Residual Disease Negativity Rates With Progression Free Survival in Frontline Therapy Trials for Newly Diagnosed Multiple Myeloma: A Meta-analysis. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2023; 23:e213-e221. [PMID: 36907767 DOI: 10.1016/j.clml.2023.02.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 02/13/2023] [Accepted: 02/16/2023] [Indexed: 02/25/2023]
Abstract
Current frontline therapies for newly diagnosed multiple myeloma patients have significantly prolonged progression-free survival (PFS). This has led to interest in minimal residual disease negativity (MRDng) as an efficacy-response biomarker and possible surrogate endpoint. A meta-analysis was conducted to explore the surrogacy of MRD for PFS and quantify the relationship between MRDng rates and PFS at the trial level. A systematic search was conducted on phase II and III trials reporting MRDng rates along with median PFS (mPFS) or PFS hazard ratios (HR). Weighted linear regressions were conducted relating mPFS to MRDng rates, and relating PFS HRs to either odds ratios (OR) or rate differences (RD) for MRDng in comparative trials. A total of 14 trials were available for the mPFS analysis. log(MRDng rate) was moderately associated with log (mPFS), with a slope of β = 0.37 (95% CI, 0.26-0.48) and R2 = 0.62. A total of 13 trials were available for the PFS HR analysis. Treatment effects on MRDng rates were correlated with the corresponding effects on PFS: log (PFS HR) and log (MRDng OR) had a moderate association with β = -0.36 (95% CI, -0.56 to -0.17) and R2 = 0.53 (95% CI, 0.21-0.77); log (PFS HR) and the MRDng RD had a stronger association with slope β = -0.03 (95% CI, -0.04 to -0.02) and R2 = 0.67 (95% CI, 0.31 to 0.86). MRDng rates moderately associate with PFS outcomes. MRDng RDs are more strongly associated with HRs than MRDng ORs, with evidence suggestive of potential surrogacy.
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Affiliation(s)
| | | | | | | | - Ling Du
- Oncology Experimental Medicine Unit, GSK, Waltham, MA
| | | | | | - Helen Zhou
- Oncology Statistics, GSK, Collegeville, PA
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12
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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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13
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Carfilzomib induction, consolidation, and maintenance with or without autologous stem-cell transplantation in patients with newly diagnosed multiple myeloma: pre-planned cytogenetic subgroup analysis of the randomised, phase 2 FORTE trial. Lancet Oncol 2023; 24:64-76. [PMID: 36528035 DOI: 10.1016/s1470-2045(22)00693-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 10/21/2022] [Accepted: 11/03/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND Patients with newly diagnosed multiple myeloma and high-risk cytogenetic abnormalities (HRCA) represent an unmet medical need. In the FORTE trial, lenalidomide and dexamethasone plus carfilzomib (KRd) induction resulted in a higher proportion of patients with at least a very good partial response as compared with carfilzomib, cyclophosphamide, and dexamethasone (KCd), and carfilzomib plus lenalidomide maintenance prolonged progression-free survival compared with lenalidomide maintenance. In this prespecified analysis of the FORTE trial, we described the outcomes of enrolled patients according to their cytogenetic risk. METHODS The UNITO-MM-01/FORTE was a randomised, open-label, phase 2 trial done at 42 Italian academic and community practice centres, which enrolled transplant-eligible patients with newly diagnosed multiple myeloma aged 18-65 years. Eligible patients had newly diagnosed multiple myeloma based on standard International Myeloma Working Group criteria, a Karnofsky performance status of at least 60%, and had not received any previous treatment with anti-myeloma therapy. At enrolment, patients were stratified according to International Staging System stage (I vs II/III) and age (<60 years vs 60-65 years) and randomly assigned (1:1:1) to KRd plus autologous stem-cell transplantation (ASCT; four 28-day induction cycles with KRd, melphalan at 200 mg/m2 and ASCT [MEL200-ASCT], followed by four 28-day KRd consolidation cycles), 12 28-day KRd cycles, or KCd plus ASCT (four 28-day induction cycles with KCd, MEL200-ASCT, and four 28-day KCd consolidation cycles), using a web-based system (block randomisation, block size of 12). Carfilzomib was administered at 20 mg/m2 on days 1 and 2 of cycle 1, followed by 36 mg/m2 intravenously administered on days 8, 9, 15, and 16 of cycle 1, and then 36 mg/m2 intravenously administered for all subsequent doses on days 1, 2, 8, 9, 15, 16; lenalidomide 25 mg was administered orally on days 1-21; cyclophosphamide 300 mg/m2 was administered orally on days 1, 8, and 15; and dexamethasone 20 mg was administered orally or intravenously on days 1, 2, 8, 9, 15, 16, 22, and 23. After the consolidation phase, patients were stratified according to induction-consolidation treatment and randomly assigned (1:1; block size of 8) to maintenance treatment with carfilzomib plus lenalidomide or lenalidomide alone. Carfilzomib 36 mg/m2 was administered intravenously on days 1-2 and days 15-16, every 28 days for up to 2 years, and lenalidomide 10 mg was administered orally on days 1-21 every 28 days until progression or intolerance in both groups. The primary endpoints were the proportion of patients with at least a very good partial response after induction with KRd versus KCd and progression-free survival with carfilzomib plus lenalidomide versus lenalidomide alone as maintenance treatment. In this preplanned analysis, we included patients enrolled in the FORTE trial with complete cytogenetic data on del(17p), t(4;14), t(14;16), del(1p), gain(1q) (3 copies), and amp(1q) (≥4 copies) assessed by fluorescence in-situ hybridisation analysis on CD138-positive sorted cells. We assessed progression-free survival, overall survival, minimal residual disease negativity, and 1-year sustained minimal residual disease negativity according to the presence of zero, one, and two or more HRCA across treatment groups. The FORTE trial is ongoing, and registered with ClinicalTrials.gov, NCT02203643. FINDINGS Between Feb 23, 2015, and April 5, 2017, 477 patients were enrolled, of whom 396 (83%) had complete cytogenetic data and were analysed (176 [44%] of whom were women and 220 [56%] were men). The median follow-up from first randomisation was 51 months (IQR 46-56). 4-year progression-free survival was 71% (95% CI 64-78) in patients with zero HRCA, 60% (95% CI 52-69) in patients with one HRCA, and 39% (95% CI 30-50) in patients with two or more HRCA. Compared with patients with zero HRCA, the risk of progression or death was similar in patients with one HRCA (hazard ratio [HR] 1·33 [95% CI 0·90-1·97]; p=0·15) and higher in patients with two or more HRCA (HR 2·56 [95% CI 1·74-3·75]); p<0·0001) across the induction-intensification-consolidation groups. Moreover, the risk of progression or death was also higher in patients with two or more HRCA versus those with one HRCA (HR 1·92 [95% CI 1·34-2·76]; p=0·0004). 4-year overall survival from the first randomisation was 94% (95% CI 91-98) in patients with zero HRCA, 83% (95% CI 76-90) in patients with one HRCA, and 63% (95% CI 54-74) in patients with two or more HRCA. Compared with patients with zero HRCA, the risk of death was significantly higher in patients with one HRCA (HR 2·55 [95% CI 1·22-5·36]; p=0·013) and two or more HRCA (HR 6·53 [95% CI 3·24-13·18]; p<0·0001). Patients with two or more HRCA also had a significantly higher risk of death than those with one HRCA (HR 2·56 [95% CI 1·53-4·28]; p=0·0004). The rates of 1-year sustained minimal residual disease negativity were similar in patients with zero HRCA (53 [35%] of 153] and with one HRCA (57 [41%] of 138) and were lower in patients with two or more HRCA (25 [24%] of 105). The median duration of follow-up from second randomisation was 37 months (IQR 33-42). 3-year progression-free survival from the second randomisation was 80% (95% CI 74-88) in patients with zero HRCA, 68% (95% CI 59-78) in patients with one HRCA, and 53% (95% CI 42-67) in patients with two or more HRCA. The risk of progression or death was higher in patients with one HRCA (HR 1·68 [95% CI 1·01-2·80]; p=0·048) and two or more HRCA (2·74 [95% CI 1·60-4·69], p=0·0003) than in patients with zero HRCA. INTERPRETATION This preplanned analysis of the FORTE trial showed that carfilzomib-based induction-intensification-consolidation regimens are effective strategies in patients with standard risk (zero HRCA) and high-risk (one HRCA) myeloma, resulting in similar rates of progression-free survival and 1-year sustained minimal residual disease negativity. Despite promising progression-free survival, patients with ultra-high-risk disease (those with 2 or more HRCA) still have an increased risk of progression and death and therefore represent an unmet medical need. FUNDING Amgen and Celgene/Bristol Myers Squibb.
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Bertuglia G, Cani L, Larocca A, Gay F, D’Agostino M. Normalization of the Immunological Microenvironment and Sustained Minimal Residual Disease Negativity: Do We Need Both for Long-Term Control of Multiple Myeloma? Int J Mol Sci 2022; 23:15879. [PMID: 36555520 PMCID: PMC9781462 DOI: 10.3390/ijms232415879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/02/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
Over the past two decades, the treatment landscape for multiple myeloma (MM) has progressed significantly, with the introduction of several new drug classes that have greatly improved patient outcomes. At present, it is well known how the bone marrow (BM) microenvironment (ME) exerts an immunosuppressive action leading to an exhaustion of the immune system cells and promoting the proliferation and sustenance of tumor plasma cells. Therefore, having drugs that can reconstitute a healthy BM ME can improve results in MM patients. Recent findings clearly demonstrated that achieving minimal residual disease (MRD) negativity and sustaining MRD negativity over time play a pivotal prognostic role. However, despite the achievement of MRD negativity, patients may still relapse. The understanding of immunologic changes in the BM ME during treatment, complemented by a deeper knowledge of plasma cell genomics and biology, will be critical to develop future therapies to sustain MRD negativity over time and possibly achieve an operational cure. In this review, we focus on the components of the BM ME and their role in MM, on the prognostic significance of MRD negativity and, finally, on the relative contribution of tumor plasma cell biology and BM ME to long-term disease control.
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Affiliation(s)
- Giuseppe Bertuglia
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Lorenzo Cani
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Alessandra Larocca
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Francesca Gay
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Mattia D’Agostino
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, 10126 Torino, Italy
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15
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Ho M, Kourelis T. The burden of myeloma: novel approaches to disease assessment. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2022; 2022:356-362. [PMID: 36485143 PMCID: PMC9820131 DOI: 10.1182/hematology.2022000348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Novel therapies in multiple myeloma (MM) have increased the rates of conventional complete remission (CR) in patients. However, patients in CR can have highly heterogeneous outcomes. Novel and more sensitive methods of assessing residual disease burden after therapy will help prognosticate this group better and, ideally, allow individualized therapy adjustments based on response depth in the future. Here, we review novel bone marrow, peripheral blood, and imaging methods for assessing myeloma burden and discuss the opportunities and limitations of incorporating these in everyday clinical practice.
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Affiliation(s)
- Matthew Ho
- Department of Internal Medicine, Division of Hematology, Mayo Clinic, Rochester, MN
| | - Taxiarchis Kourelis
- Department of Internal Medicine, Division of Hematology, Mayo Clinic, Rochester, MN
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16
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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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17
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Pessach I, Spyropoulos T, Lamprianidou E, Kotsianidis I. MRD Monitoring by Multiparametric Flow Cytometry in AML: Is It Time to Incorporate Immune Parameters? Cancers (Basel) 2022; 14:cancers14174294. [PMID: 36077826 PMCID: PMC9454571 DOI: 10.3390/cancers14174294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 08/27/2022] [Accepted: 08/29/2022] [Indexed: 12/02/2022] Open
Abstract
Simple Summary Measurable residual disease (MRD) is emerging as an important prognostic and predictive biomarker in acute myeloid leukemia (AML). However, its use is currently hampered by the disparity and lack of harmonization between the available MRD methodologies. In addition, the current assessment of MRD in AML focuses only on the quantification of the residual leukemic burden, without addressing the parallel alterations of the antineoplastic immune response that can critically affect the course and outcome of AML, often despite MRD persistence. Incorporating parameters of immune competence provides more consistency with the biological concept of MRD and may lead to higher accuracy. Multiparameter flow cytometry (MFC) is a highly efficacious and sensitive technology for the thorough and synchronous investigation of the kinetics of both antitumor immunity and the leukemic clone. MFC-based MRD provides the platform for the development of a composite leukemia- and immune-based biomarker which can outcompete the current MRD assessment. Abstract Acute myeloid leukemia (AML) is a heterogeneous group of clonal myeloid disorders characterized by intrinsic molecular variability. Pretreatment cytogenetic and mutational profiles only partially inform prognosis in AML, whereas relapse is driven by residual leukemic clones and mere morphological evaluation is insensitive for relapse prediction. Measurable residual disease (MRD), an independent post-diagnostic prognosticator, has recently been introduced by the European Leukemia Net as a new outcome definition. However, MRD techniques are not yet standardized, thus precluding its use as a surrogate endpoint for survival in clinical trials and MRD-guided strategies in real-life clinical practice. AML resistance and relapse involve a complex interplay between clonal and immune cells, which facilitates the evasion of the leukemic clone and which is not taken into account when merely quantifying the residual leukemia. Multiparameter flow cytometry (MFC) offers the possibility of capturing an overall picture of the above interactions at the single cell level and can simultaneously assess the competence of anticancer immune response and the levels of residual clonal cells. In this review, we focus on the current status of MFC-based MRD in diverse AML treatment settings and introduce a novel perspective of combined immune and leukemia cell profiling for MRD assessment in AML.
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Affiliation(s)
- Ilias Pessach
- Department of Hematology, Athens Medical Center, 11634 Athens, Greece
| | - Theodoros Spyropoulos
- Department of Hematology, University Hospital of Alexandroupolis, Democritus University of Thrace, 69100 Alexandroupolis, Greece
| | - Eleftheria Lamprianidou
- Department of Hematology, University Hospital of Alexandroupolis, Democritus University of Thrace, 69100 Alexandroupolis, Greece
| | - Ioannis Kotsianidis
- Department of Hematology, University Hospital of Alexandroupolis, Democritus University of Thrace, 69100 Alexandroupolis, Greece
- Correspondence: or ; Tel.: +30-25-5103-0320; Fax: +30-25-5107-6154
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18
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Tamariz-Amador LE, Rodríguez-Otero P, Jiménez-Ubieto A, Rosiñol L, Oriol A, Ríos R, Sureda A, Blanchard MJ, Hernández MT, Cabañas Perianes V, Jarque I, Bargay J, Gironella M, De Arriba F, Palomera L, Gonzalez-Montes Y, Martí JM, Krsnik I, Arguiñano JM, González ME, Casado LF, González-Rodriguez AP, López-Anglada L, Puig N, Cedena MT, Paiva B, Mateos MV, San-Miguel J, Lahuerta JJ, Bladé J, Trocóniz IF. Prognostic Value of Serum Paraprotein Response Kinetics in Patients With Newly Diagnosed Multiple Myeloma. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2022; 22:e844-e852. [PMID: 35688793 DOI: 10.1016/j.clml.2022.04.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 04/26/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Response kinetics is a well-established prognostic marker in acute lymphoblastic leukemia. The situation is not clear in multiple myeloma (MM) despite having a biomarker for response monitoring (monoclonal component [MC]). MATERIALS AND METHODS We developed a mathematical model to assess the prognostic value of serum MC response kinetics during 6 induction cycles, in 373 NDMM transplanted patients treated in the GEM2012Menos65 clinical trial. The model calculated a "resistance" parameter that reflects the stagnation in the response after an initial descent. RESULTS Two patient subgroups were defined based on low and high resistance, that respectively captured sensitive and refractory kinetics, with progression-free survival (PFS) at 5 years of 72% and 59% (HR 0.64, 95% CI 0.44-0.93; P = .02). Resistance significantly correlated with depth of response measured after consolidation (80.9% CR and 68.4% minimal residual disease negativity in patients with sensitive vs. 31% and 20% in those with refractory kinetics). Furthermore, it modulated the impact of reaching CR after consolidation; thus, within CR patients those with refractory kinetics had significantly shorter PFS than those with sensitive kinetics (median 54 months vs. NR; P = .02). Minimal residual disease negativity abrogated this effect. Our study also questions the benefit of rapid responders compared to late responders (5-year PFS 59.7% vs. 76.5%, respectively [P < .002]). Of note, 85% of patients considered as late responders were classified as having sensitive kinetics. CONCLUSION This semi-mechanistic modeling of M-component kinetics could be of great value to identify patients at risk of early treatment failure, who may benefit from early rescue intervention strategies.
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Affiliation(s)
- Luis-Esteban Tamariz-Amador
- Clínica Universidad de Navarra, CCUN, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
| | - Paula Rodríguez-Otero
- Clínica Universidad de Navarra, CCUN, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
| | | | - Laura Rosiñol
- Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Albert Oriol
- Institut Català d'Oncologia i Institut Josep Carreras, Badalona, Spain
| | - Rafael Ríos
- Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain
| | - Anna Sureda
- Institut Català d'Oncologia - Hospital Duran i Reynals, IDIBELL, Universitat de Barcelona, Barcelona, Spain
| | | | | | | | | | - Juan Bargay
- Hospital Son Llatzer, Palma de Mallorca, Spain
| | | | - Felipe De Arriba
- Hospital Universitario Morales Meseguer, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
| | | | | | | | | | | | | | | | | | | | - Noemi Puig
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Salamanca, Spain
| | | | - Bruno Paiva
- Clínica Universidad de Navarra, CCUN, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain
| | - Maria-Victoria Mateos
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Salamanca, Spain
| | - Jesús San-Miguel
- Clínica Universidad de Navarra, CCUN, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain
| | | | - Joan Bladé
- Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Iñaki F Trocóniz
- Facultad de Farmacia y Nutrición, Universidad de Navarra, Pamplona, Spain
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19
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Yu Z, Qiu B, Li L, Xu J, Zhou H, Niu T. An emerging prognosis prediction model for multiple myeloma: Hypoxia-immune related microenvironmental gene signature. Front Oncol 2022; 12:992387. [PMID: 36110952 PMCID: PMC9468480 DOI: 10.3389/fonc.2022.992387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 08/04/2022] [Indexed: 11/17/2022] Open
Abstract
Multiple myeloma (MM), a hematologic malignancy, is characterized by malignant plasma cells clonal proliferation. Many evidences indicated the indirect interaction between hypoxic environment and immune state in MM tumorigenesis, but the underlying mechanism remains unclear. MM-related datasets were downloaded from the Gene Expression Omnibus (GEO) database. The R packages were applied for screening protective differentially expressed genes (DEGs) and risk DEGs. The signature was constructed based the most prognostic gene signature in the training and assessed in the validation cohorts. The immune cell infiltration, the expression of the HLA family and immune checkpoint genes inside the low- and high-risk groups were compared to determine the differences in immune infiltration and immunotherapy responses. Moreover, the expression of HLA families and immune checkpoints inside the low- and high-risk groups was markedly disordered. The results indicated hypoxia- and immune-related genes, including CHRDL1, DDIT4, DNTT, FAM133A, MYB, PRR15, QTRT1, and ZNF275, were identified and used to construct a prognostic signature. Role of DDIT4 in multiple myeloma was confirmed in vivo and in vitro. DDIT4 knockdown inhibited MM cell viability, migration and invasion potential as well as promoted myeloma cells apoptosis under hypoxia. Taken together, our study may contribute to the treatment and prognosis prediction of MM.
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Affiliation(s)
- Zhengyu Yu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Bingquan Qiu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Linfeng Li
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Xu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Hui Zhou
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Niu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Ting Niu,
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20
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Derman BA, Jakubowiak AJ, Thompson MA. Clinician survey regarding measurable residual disease-guided decision-making in multiple myeloma. Blood Cancer J 2022; 12:108. [PMID: 35821020 PMCID: PMC9276661 DOI: 10.1038/s41408-022-00705-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/22/2022] [Accepted: 06/29/2022] [Indexed: 11/27/2022] Open
Affiliation(s)
- Benjamin A Derman
- Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, USA.
| | - Andrzej J Jakubowiak
- Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, USA
| | - Michael A Thompson
- Tempus Labs, Chicago, IL, USA.,Aurora Cancer Care, Advocate Aurora Health, Milwaukee, WI, USA
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21
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Immunophenotypic Characteristics of Bone Marrow Microenvironment Cellular Composition at the Biochemical Progression of Multiple Myeloma. J Clin Med 2022; 11:jcm11133722. [PMID: 35807007 PMCID: PMC9267252 DOI: 10.3390/jcm11133722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/23/2022] [Accepted: 06/25/2022] [Indexed: 11/16/2022] Open
Abstract
Multiple myeloma (MM) relapses are inevitable in the majority of patients, and in addition to genetic changes in the MM clone, the immune profile of the bone marrow (BM) plays a key role in this process. Biochemical progression or relapse (BR) precedes clinical relapse in a significant proportion of patients with MM. In the present study, we used flow cytometry to assess the cellular composition of the BM microenvironment in MM patients with confirmed BR. Fifteen distinct cells subsets in the BM were evaluated with the panel of antibodies used routinely for MRD monitoring in MM in 52 patients with MM (MRD-negative n = 20, BR n = 20, and clinically relapsed MM, RMM n = 12). The median percentage of MM cells detected in BR patients was 0.90% versus not detectable in MRD-negative patients and of 3.0% in RMM cohort. Compared to the MRD-negative group, BR status was associated with an increase in the percentage of lymphoid subpopulations, including memory B cells (p = 0.003), CD27+T cells (p = 0.002), and NK/NKT cells (p < 0.001). Moreover, a decrease in B-cell precursors (p < 0.001) and neutrophils (p = 0.006) was observed. There were no significant differences in the composition of the BM cell subpopulations between the BR and RMM groups. Our results indicate the involvement of B-, T-, and NK cells in the process of losing immune surveillance over the MM clone that leads to relapse. It can be speculated that similar studies of a larger cohort of BR patients can potentially identify a group of patients for which an early treatment intervention would be beneficial.
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22
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Hanamura I. Multiple myeloma with high-risk cytogenetics and its treatment approach. Int J Hematol 2022; 115:762-777. [PMID: 35534749 PMCID: PMC9160142 DOI: 10.1007/s12185-022-03353-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/11/2022] [Accepted: 04/11/2022] [Indexed: 12/13/2022]
Abstract
Despite substantial advances in anti-myeloma treatments, early recurrence and death remain an issue in certain subpopulations. Cytogenetic abnormalities (CAs) are the most widely accepted predictors for poor prognosis in multiple myeloma (MM), such as t(4;14), t(14;16), t(14;20), gain/amp(1q21), del(1p), and del(17p). Co-existing high-risk CAs (HRCAs) tend to be associated with an even worse prognosis. Achievement of sustained minimal residual disease (MRD)-negativity has recently emerged as a surrogate for longer survival, regardless of cytogenetic risk. Information from newer clinical trials suggests that extended intensified treatment can help achieve MRD-negativity in patients with HRCAs, which may lead to improved outcomes. Therapy should be considered to include a 3- or 4-drug induction regimen (PI/IMiD/Dex or PI/IMiD/Dex/anti-CD38 antibody), auto-transplantation, and consolidation/maintenance with lenalidomide ± a PI. Results from ongoing clinical trials for enriched high-risk populations will reveal the precise efficacy of the investigated regimens. Genetic abnormalities of MM cells are intrinsic critical factors determining tumor characteristics, which reflect the natural course and drug sensitivity of the disease. This paper reviews the clinicopathological features of genomic abnormalities related to adverse prognosis, focusing on HRCAs that are the most relevant in clinical practice, and outline current optimal therapeutic approaches for newly diagnosed MM with HRCAs.
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Affiliation(s)
- Ichiro Hanamura
- Division of Hematology, Department of Internal Medicine, Aichi Medical University, 1 Karimata, Yazako, Nagakute, Aichi, 480-1195, Japan.
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23
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Keruakous AR, Asch A, Aljumaily R, Zhao D, Yuen C. Prognostic impact of natural killer cell recovery on minimal residual disease after autologous stem cell transplantation in multiple myeloma. Transpl Immunol 2022; 71:101544. [PMID: 35093506 PMCID: PMC10434759 DOI: 10.1016/j.trim.2022.101544] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/20/2022] [Accepted: 01/23/2022] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Natural killer cells are a potent effector lymphocyte subset that can induce cytotoxicity without the need for antigen sensitization or presentation. NK cells are a tempting target -for immune therapy, monoclonal antibody, or genetic engineering-to enhance immune surveillance mechanisms against myeloma cells. MATERIALS AND METHODS We hypothesized an association between natural killer cell recovery after autologous stem cell transplantation (ASCT) and disease outcomes in multiple myeloma patients. We concluded a prospective study that started enrolling patients in January 2020 to identify the association between absolute NK cell count two to three after ASCT and disease outcomes after autologous stem cell transplantation in multiple myeloma using univariate and multivariate analysis. RESULTS Natural killer cell recovery was evaluated during the third month after ASCT, day +60 to +90 post-ASCT. Our patients had a mean NK cell count of 90.53, ranging from 14 to 282 Cell/μL (Std Dev 84.64 Cell/μL). The odds of having a minimal residual disease (MRD-positivity) among patients with partial remission before transplantation is four times higher than patients with very good partial response or better (95% confidence interval 0.45-35.79). Our patients were classified into two groups based on MRD status after ASCT, an MRD-negative group of eight participants and an MRD-positive group of seven participants. The mean absolute NK cell count was significantly higher in the MRD-negative cohort, 131.38 Cell/μL, versus 43.86 Cell/μL in the MRD-positive group (p = 0.049). CONCLUSION We conclude that for multiple myeloma patients treated with ASCT, high absolute NK cell counts two to three months after ASCT is an independent predictor for MRD negativity.
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Affiliation(s)
- Amany R Keruakous
- Georgia Cancer Center at Augusta University, Augusta, GA, United States of America.
| | - Adam Asch
- Department of Hematology/Oncology, University of Oklahoma, Oklahoma City, OK, United States of America
| | - Raid Aljumaily
- Department of Hematology/Oncology, University of Oklahoma, Oklahoma City, OK, United States of America
| | - Daniel Zhao
- Department of Biostatistics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | - Carrie Yuen
- Department of Hematology/Oncology, University of Oklahoma, Oklahoma City, OK, United States of America
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Alonso R, Lahuerta JJ. Tumor Reduction in Multiple Myeloma: New Concepts for New Therapeutics. Front Oncol 2022; 11:800309. [PMID: 35096603 PMCID: PMC8794792 DOI: 10.3389/fonc.2021.800309] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 12/23/2021] [Indexed: 12/22/2022] Open
Abstract
The development of new resources for a more accurate diagnosis and response assessment in multiple myeloma has been a long process for decades, mainly since the middle of the 20th century. During this time, the succession of technical advances has run parallel to the better knowledge of disease biology and the availability of novel therapeutic strategies. The cornerstone of standardized criteria to uniformly evaluate the disease response in myeloma dates back to the 1990s when the key role of complete remission was established. Since then, different updates have been implemented according to available scientific evidences not always without certain controversies. The progressive improvements in survival results of myeloma patients and the growing quality of responses due to the novel therapies have led to the need of developing new tools for better monitoring of tumor burden. In this way, the concept of minimal residual disease and its key value based on the prognostic significance and the clinical relevance has been consolidated during the last years, overcoming the value of conventional response criteria or classical adverse prognosis markers. Nevertheless, its precise role in the clinical management of myeloma patients to detect early treatment failure and trigger early rescue strategies is still pending to be defined. In this review, we revisit the major milestones in the understanding of tumor reduction in multiple myeloma until the most recent imaging techniques or liquid biopsy approaches, including a critical view of conventional response criteria, whose backbone has remained unchanged during the last 20 years.
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Affiliation(s)
- Rafael Alonso
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC CB16/12/00369, Madrid, Spain
| | - Juan José Lahuerta
- Instituto de Investigación Sanitaria, Hospital Universitario 12 de Octubre (imas12) CIBERONC CB16/12/00369, Madrid, Spain
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25
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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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Kastritis E, Rousakis P, Kostopoulos IV, Gavriatopoulou M, Theodorakakou F, Fotiou D, Dialoupi I, Migkou M, Roussou M, Kanellias N, Tselegkidi MI, Eleutherakis-Papaiakovou E, Papanikolaou A, Gakiopoulou C, Psimenou E, Spyropoulou-Vlachou M, Gatou A, Terpos E, Tsitsilonis O, Dimopoulos MA. Consolidation with a short course of daratumumab in patients with AL amyloidosis or light chain deposition disease. Amyloid 2021; 28:259-266. [PMID: 34468250 DOI: 10.1080/13506129.2021.1971192] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Daratumumab has major and rapid activity in AL amyloidosis with favourable toxicity. We used as a consolidation a short course of daratumumab in 25 patients with AL amyloidosis or light chain deposition disease (LCDD), who had not achieved a haematologic complete response (hemCR) after standard therapy with bortezomib, cyclophosphamide and dexamethasone (VCD). We evaluated minimal residual disease (MRD) and changes in the bone marrow (BM) microenvironment before and after consolidation using next generation flow cytometry (NGF). At the time of consolidation, 21 patients were in very good partial response (VGPR) and four in partial response (PR); all had detectable MRD. One month after consolidation completion, 8 patients (32%) achieved a hemCR, of whom 5 (20%) became also MRD negative. In the BM, we observed significant changes in B-cell precursors, naïve B-cells, T-cells, CD27+ NK & NKT cells, mast cells and erythroblasts. After a median follow-up of 25 months, none of the patients in hemCR has relapsed and all have achieved an organ response; a haematologic relapse occurred in 6/17 patients that did not achieve hemCR. In conclusion, consolidation with a short course of daratumumab can improve depth of response in patients with AL amyloidosis or LCDD and significantly affects BM environment.
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Affiliation(s)
- Efstathios Kastritis
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Pantelis Rousakis
- Department of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis V Kostopoulos
- Department of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Gavriatopoulou
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Foteini Theodorakakou
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Despina Fotiou
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioanna Dialoupi
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Magdalini Migkou
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Roussou
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Kanellias
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria-Irini Tselegkidi
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | | | | | - Charikleia Gakiopoulou
- 1st Department of Pathology, National and Kapodistrian University of Athens, Athens, Greece
| | - Erasmia Psimenou
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | | | | | - Evangelos Terpos
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Ourania Tsitsilonis
- Department of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Meletios A Dimopoulos
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
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27
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Anderson KC, Auclair D, Adam SJ, Agarwal A, Anderson M, Avet-Loiseau H, Bustoros M, Chapman J, Connors DE, Dash A, Di Bacco A, Du L, Facon T, Flores-Montero J, Gay F, Ghobrial IM, Gormley NJ, Gupta I, Higley H, Hillengass J, Kanapuru B, Kazandjian D, Kelloff GJ, Kirsch IR, Kremer B, Landgren O, Lightbody E, Lomas OC, Lonial S, Mateos MV, Montes de Oca R, Mukundan L, Munshi NC, O'Donnell EK, Orfao A, Paiva B, Patel R, Pugh TJ, Ramasamy K, Ray J, Roshal M, Ross JA, Sigman CC, Thoren KL, Trudel S, Ulaner G, Valente N, Weiss BM, Zamagni E, Kumar SK. Minimal Residual Disease in Myeloma: Application for Clinical Care and New Drug Registration. Clin Cancer Res 2021; 27:5195-5212. [PMID: 34321279 PMCID: PMC9662886 DOI: 10.1158/1078-0432.ccr-21-1059] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 06/01/2021] [Accepted: 07/23/2021] [Indexed: 01/07/2023]
Abstract
The development of novel agents has transformed the treatment paradigm for multiple myeloma, with minimal residual disease (MRD) negativity now achievable across the entire disease spectrum. Bone marrow-based technologies to assess MRD, including approaches using next-generation flow and next-generation sequencing, have provided real-time clinical tools for the sensitive detection and monitoring of MRD in patients with multiple myeloma. Complementary liquid biopsy-based assays are now quickly progressing with some, such as mass spectrometry methods, being very close to clinical use, while others utilizing nucleic acid-based technologies are still developing and will prove important to further our understanding of the biology of MRD. On the regulatory front, multiple retrospective individual patient and clinical trial level meta-analyses have already shown and will continue to assess the potential of MRD as a surrogate for patient outcome. Given all this progress, it is not surprising that a number of clinicians are now considering using MRD to inform real-world clinical care of patients across the spectrum from smoldering myeloma to relapsed refractory multiple myeloma, with each disease setting presenting key challenges and questions that will need to be addressed through clinical trials. The pace of advances in targeted and immune therapies in multiple myeloma is unprecedented, and novel MRD-driven biomarker strategies are essential to accelerate innovative clinical trials leading to regulatory approval of novel treatments and continued improvement in patient outcomes.
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Affiliation(s)
- Kenneth C. Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Daniel Auclair
- Multiple Myeloma Research Foundation, Norwalk, Connecticut.,Corresponding Author: Daniel Auclair, Research, Multiple Myeloma Research Foundation, 383 Main Street, Norwalk, CT, 06851. E-mail:
| | - Stacey J. Adam
- Foundation for the National Institutes of Health, North Bethesda, Maryland
| | - Amit Agarwal
- US Medical Oncology, Bristol-Myers Squibb, Summit, New Jersey
| | | | - Hervé Avet-Loiseau
- Laboratoire d'Hématologie, Pôle Biologie, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Mark Bustoros
- Division of Hematology and Medical Oncology, Cornell University/New York Presbyterian Hospital, New York, New York
| | | | - Dana E. Connors
- Foundation for the National Institutes of Health, North Bethesda, Maryland
| | - Ajeeta Dash
- Takeda Pharmaceuticals, Cambridge, Massachusetts
| | | | - Ling Du
- GlaxoSmithKline, Collegeville, Pennsylvania
| | - Thierry Facon
- Department of Hematology, Lille University Hospital, Lille, France
| | - Juan Flores-Montero
- Cancer Research Center (IBMCC-CSIC/USAL-IBSAL); Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Francesca Gay
- Myeloma Unit, Division of Hematology, Azienda Ospedaliero Università Città della Salute e della Scienza, Torino, Italy
| | - Irene M. Ghobrial
- Preventative Cancer Therapies, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Nicole J. Gormley
- Division of Hematologic Malignancies 2, Office of Oncologic Disease, Center for Drug Evaluation and Research, FDA, Silver Spring, Maryland
| | - Ira Gupta
- GlaxoSmithKline, Collegeville, Pennsylvania
| | | | - Jens Hillengass
- Division of Hematology and Oncology, Roswell Park Cancer Institute, Buffalo, New York
| | - Bindu Kanapuru
- Division of Hematologic Malignancies 2, Office of Oncologic Disease, Center for Drug Evaluation and Research, FDA, Silver Spring, Maryland
| | - Dickran Kazandjian
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Gary J. Kelloff
- Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland
| | - Ilan R. Kirsch
- Translational Medicine, Adaptive Biotechnologies, Seattle, Washington
| | | | - Ola Landgren
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Elizabeth Lightbody
- Preventative Cancer Therapies, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Oliver C. Lomas
- Preventative Cancer Therapies, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Sagar Lonial
- Department of Hematology and Medical Oncology at Emory University School of Medicine, Atlanta, Georgia
| | | | | | | | - Nikhil C. Munshi
- Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | | | - Alberto Orfao
- Cancer Research Center (IBMCC-CSIC/USAL-IBSAL); Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Bruno Paiva
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), Pamplona, Spain
| | - Reshma Patel
- Janssen Research & Development, Spring House, Pennsylvania
| | - Trevor J. Pugh
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Karthik Ramasamy
- Cancer and Haematology Centre, Oxford University Hospitals, Oxford, United Kingdom
| | - Jill Ray
- BioOncology, Genentech Inc., South San Francisco, California
| | - Mikhail Roshal
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jeremy A. Ross
- Precision Medicine, Oncology, AbbVie, Inc., North Chicago, Illinois
| | | | | | - Suzanne Trudel
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | | | - Nancy Valente
- BioOncology, Genentech Inc., South San Francisco, California
| | | | - Elena Zamagni
- Seragnoli Institute of Hematology, Bologna University School of Medicine, Bologna, Italy
| | - Shaji K. Kumar
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
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Holstein SA, Bahlis N, Bergsagel PL, Bhutani M, Bolli N, Brownstein C, Demolis P, Foureau D, Gay F, Ghobrial IM, Gormley N, Hillengass J, Kaiser M, Maus MV, Melenhorst JJ, Merz M, Dwyer MO, Paiva B, Pasquini MC, Shah N, Wong SW, Usmani SZ, McCarthy PL. The 2020 BMT CTN Myeloma Intergroup Workshop on Immune Profiling and Minimal Residual Disease Testing in Multiple Myeloma. Transplant Cell Ther 2021; 27:807-816. [PMID: 34107340 PMCID: PMC8478786 DOI: 10.1016/j.jtct.2021.05.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 01/17/2023]
Abstract
The fifth annual Blood and Marrow Transplant Clinical Trials Network Myeloma Intergroup Workshop on Immune Profiling and Minimal Residual Disease Testing in Multiple Myeloma was conducted as one of the American Society of Hematology Annual Meeting Scientific Workshops on Thursday December 3, 2020. This workshop focused on four main topics: (1) integrating minimal residual disease into clinical trial design and practice; (2) the molecular and immunobiology of disease evolution and progression in myeloma; (3) adaptation of next-generation sequencing, next-generation flow cytometry, and cytometry by time of flight techniques; and (4) chimeric antigen receptor T-cell and other cellular therapies for myeloma. In this report, we provide a summary of the workshop presentations and discuss future directions in the field.
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Affiliation(s)
| | - Nizar Bahlis
- University of Calgary, Arnie Charbonneau Cancer Research Institute, Calgary, Alberta, Canada
| | | | | | - Niccolo Bolli
- Department of Oncology and Hemato-Oncology, University of Milan, and Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | | | | | - Francesca Gay
- University of Torino, Divisione di Ematologia 1, Myeloma Unit, Azienda Ospedaliera Citta della Salute e della Scienza, Torino, Italy
| | - Irene M Ghobrial
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Nicole Gormley
- U.S. Food and Drug Administration, Silver Spring, Maryland
| | | | - Martin Kaiser
- Institute of Cancer Research, London, United Kingdom
| | | | | | - Maximilian Merz
- Roswell Park Comprehensive Cancer Center, Buffalo, New York; Department of Medicine II, University Clinic Leipzig, Germany
| | | | - Bruno Paiva
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigacion Sanitaria de Navarra (IDISNA), CIBER-ONC number CB16/12/00369, Pamplona, Spain
| | | | - Nina Shah
- University of California San Francisco, San Francisco, California
| | - Sandy W Wong
- University of California San Francisco, San Francisco, California
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29
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Reference Values to Assess Hemodilution and Warn of Potential False-Negative Minimal Residual Disease Results in Myeloma. Cancers (Basel) 2021; 13:cancers13194924. [PMID: 34638406 PMCID: PMC8508317 DOI: 10.3390/cancers13194924] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 09/12/2021] [Accepted: 09/25/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Whereas, in most patients with multiple myeloma (MM), achieving undetectable MRD anticipates a favorable outcome, some others relapse shortly afterwards. Although one obvious explanation for this inconsistency is the use of nonrepresentative marrow samples due to hemodilution, there is no guidance on how to evaluate this issue. METHODS Since B-cell precursors, mast cells and nucleated red blood cells are normally absent in peripheral blood, we analyzed them in 1404 bone marrow (BM) aspirates obtained in numerous disease settings and in 85 healthy adults (HA). RESULTS First, we confirmed the systematic detection of the three populations in HA, as well as the nonreduced numbers with aging. Pairwise comparisons between HA and MM patients grouped according to age and treatment showed significant variability, suggesting that hemodilution should be preferably evaluated with references obtained from patients treated with identical regimens. Leveraging the MRD results from 118 patients, we showed that a comparison with HA of similar age could also inform on potential hemodilution. CONCLUSIONS Our study supports the routine assessment of BM cellularity to evaluate hemodilution, since reduced BM-specific cell types as compared to reference values (either treatment-specific or from HA if the former are unavailable) could indicate hemodilution and a false-negative MRD result.
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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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Multiparametric Flow Cytometry for MRD Monitoring in Hematologic Malignancies: Clinical Applications and New Challenges. Cancers (Basel) 2021; 13:cancers13184582. [PMID: 34572809 PMCID: PMC8470441 DOI: 10.3390/cancers13184582] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/05/2021] [Accepted: 09/08/2021] [Indexed: 02/06/2023] Open
Abstract
Simple Summary In hematologic cancers, Minimal Residual Disease (MRD) monitoring, using either molecular (PCR) or immunophenotypic (MFC) diagnostics, allows the identification of rare cancer cells, readily detectable either in the bone marrow or in the peripheral blood at very low levels, far below the limit of classic microscopy. In this paper, we outlined the state-of-the-art of MFC-based MRD detection in different hematologic settings, highlighting main recommendations and new challenges for using such method in patients with acute leukemias or chronic hematologic neoplasms. The combination of new molecular technologies with advanced flow cytometry is progressively allowing clinicians to design a personalized therapeutic path, proportionate to the biological aggressiveness of the disease, in particular by using novel immunotherapies, in view of a modern decision-making process, based on precision medicine. Abstract Along with the evolution of immunophenotypic and molecular diagnostics, the assessment of Minimal Residual Disease (MRD) has progressively become a keystone in the clinical management of hematologic malignancies, enabling valuable post-therapy risk stratifications and guiding risk-adapted therapeutic approaches. However, specific prognostic values of MRD in different hematological settings, as well as its appropriate clinical uses (basically, when to measure it and how to deal with different MRD levels), still need further investigations, aiming to improve standardization and harmonization of MRD monitoring protocols and MRD-driven therapeutic strategies. Currently, MRD measurement in hematological neoplasms with bone marrow involvement is based on advanced highly sensitive methods, able to detect either specific genetic abnormalities (by PCR-based techniques and next-generation sequencing) or tumor-associated immunophenotypic profiles (by multiparametric flow cytometry, MFC). In this review, we focus on the growing clinical role for MFC-MRD diagnostics in hematological malignancies—from acute myeloid and lymphoblastic leukemias (AML, B-ALL and T-ALL) to chronic lymphocytic leukemia (CLL) and multiple myeloma (MM)—providing a comparative overview on technical aspects, clinical implications, advantages and pitfalls of MFC-MRD monitoring in different clinical settings.
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32
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Derman BA, Kosuri S, Jakubowiak A. Knowing the unknowns in high risk multiple myeloma. Blood Rev 2021; 51:100887. [PMID: 34479756 DOI: 10.1016/j.blre.2021.100887] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/18/2021] [Accepted: 08/26/2021] [Indexed: 12/28/2022]
Abstract
High risk multiple myeloma (HRMM) continues to portend worse outcomes despite the many advances in anti-myeloma therapeutics. The optimal approach to treatment is not clearly defined on account of the variable definitions of HRMM and the paucity of studies dedicated to the treatment of HRMM. In this review, we use a case-based approach to review the definitions of HRMM, and evaluate the evidence for induction, stem cell transplantation, and post-transplant therapy approaches for HRMM.
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Affiliation(s)
- Benjamin A Derman
- Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, United States of America.
| | - Satyajit Kosuri
- Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, United States of America
| | - Andrzej Jakubowiak
- Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, United States of America
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33
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Aberrant Plasma Cell Contamination of Peripheral Blood Stem Cell Autografts, Assessed by Next-Generation Flow Cytometry, Is a Negative Predictor for Deep Response Post Autologous Transplantation in Multiple Myeloma; A Prospective Study in 199 Patients. Cancers (Basel) 2021; 13:cancers13164047. [PMID: 34439201 PMCID: PMC8391595 DOI: 10.3390/cancers13164047] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 07/09/2021] [Accepted: 08/09/2021] [Indexed: 01/10/2023] Open
Abstract
High-dose chemotherapy with autologous stem cell support (ASCT) is the standard of care for eligible newly diagnosed Multiple Myeloma (MM) patients. Stem cell graft contamination by aberrant plasma cells (APCs) has been considered a possible predictive marker of subsequent clinical outcome, but the limited reports to date present unclear conclusions. We prospectively estimated the frequency of graft contamination using highly sensitive next-generation flow cytometry and evaluated its clinical impact in 199 myeloma patients who underwent an ASCT. Contamination (con+) was detected in 79/199 patients at a median level 2 × 10-5. Its presence and levels were correlated with response to induction treatment, with 94%, 71% and 43% achieving CR, VGPR and PR, respectively. Importantly, con+ grafts conferred 2-fold and 2.8-fold higher patient-risk of not achieving or delaying reaching CR (4 vs. 11 months) and MRD negativity (5 vs. 18 months) post ASCT, respectively. Our data also provide evidence of a potentially skewed bone marrow (BM) reconstitution due to unpurged grafts, since con+ derived BM had significantly higher prevalence of memory B cells. These data, together with the absence of significant associations with baseline clinical features, highlight graft contamination as a potential biomarker with independent prognostic value for deeper responses, including MRD negativity. Longer follow-up will reveal if this corresponds to PFS or OS advantage.
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34
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Soh KT, Wallace PK. Evaluation of measurable residual disease in multiple myeloma by multiparametric flow cytometry: Current paradigm, guidelines, and future applications. Int J Lab Hematol 2021; 43 Suppl 1:43-53. [PMID: 34288449 DOI: 10.1111/ijlh.13562] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 03/22/2021] [Accepted: 04/07/2021] [Indexed: 12/16/2022]
Abstract
Multiple myeloma (MM) is a heterogeneous group of mature B-cell diseases that are typically characterized by the presence and accumulation of abnormal plasma cells (PCs), which results in the excess production of monoclonal immunoglobulin and/or light chain found in the serum and/or urine. Multiparametric flow cytometry (MFC) is an indispensable tool to supplement the diagnosis, classification and monitoring of the disease due to its high patient applicability, excellent sensitivity and encouraging results from various clinical trials. In this regard, minimal or, more appropriately, measurable residual disease (MRD) negativity by MFC has been recognized as a powerful predictor of favourable long-term outcomes. Before flow cytometry can be effectively implemented in the clinical setting for MM MRD testing, sample preparation, panel configuration, analysis and gating strategies must be optimized to ensure accurate results. This manuscript will discuss the current consensus guidelines for flow cytometric processing of samples and reporting of results for MM MRD testing. We also discuss alternative approaches to detect plasma cells in the presence of daratumumab treatment. Finally, there is a lack of information describing the subclonal distribution of myeloma cells based on their protein expression. The advent of high-dimensional analysis may assist in following the evolution of antigen expression patterns on abnormal plasma cells in patients with relapsed/refractory disease. This in turn can help identify clonal subtypes that are more aggressive for potential informed decision. An analysis using t-SNE to identify the emergence of PCs subclones by MFC, along with the analysis of their immunophenotypic profiles are presented as a future perspective.
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Affiliation(s)
- Kah Teong Soh
- Department of Flow and Image Cytometry, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Paul K Wallace
- Department of Flow and Image Cytometry, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
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35
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Zhaoyun L, Rong F. Predictive Role of Immune Profiling for Survival of Multiple Myeloma Patients. Front Immunol 2021; 12:663748. [PMID: 34290698 PMCID: PMC8287504 DOI: 10.3389/fimmu.2021.663748] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 06/23/2021] [Indexed: 01/10/2023] Open
Abstract
Despite new efficacy drugs and cell therapy have been used for multiple myeloma (MM) patients, some patients will relapse over time. We wonder the immune system play a vital role as well as MM cell during the development of disease. It is clear that the characteristic of myeloma cell is associated with the survival of MM patients. However, the link between the immune profiling and the prognosis of the disease is still not entirely clear. As more study focus on the role of immunity on multiple myeloma pathogenesis. There are plenty of study about the predictive role of immunity on the survival of multiple myeloma patients. Up to mow, the majority reviews published have focused on the immunotherapy and immune pathogenesis. It is indispensable to overlook the predictive role of immunity on multiple myeloma patients. Here, we give a review of vital previous works and recent progress related to the predictive role of immune profiling on multiple myeloma, such as absolute lymphocyte count, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocytes and cytokines.
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Affiliation(s)
- Liu Zhaoyun
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Fu Rong
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, China
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Barilà G, Pavan L, Vedovato S, Berno T, Lo Schirico M, Arangio Febbo M, Teramo A, Calabretto G, Vicenzetto C, Gasparini VR, Fregnani A, Manni S, Trimarco V, Carraro S, Facco M, Piazza F, Semenzato G, Zambello R. Treatment Induced Cytotoxic T-Cell Modulation in Multiple Myeloma Patients. Front Oncol 2021; 11:682658. [PMID: 34211851 PMCID: PMC8239308 DOI: 10.3389/fonc.2021.682658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/10/2021] [Indexed: 11/15/2022] Open
Abstract
The biology of plasma cell dyscrasias (PCD) involves both genetic and immune-related factors. Since genetic lesions are necessary but not sufficient for Multiple Myeloma (MM) evolution, several authors hypothesized that immune dysfunction involving both B and T cell counterparts plays a key role in the pathogenesis of the disease. The aim of this study is to evaluate the impact of cornerstone treatments for Multiple Myeloma into immune system shaping. A large series of 976 bone marrow samples from 735 patients affected by PCD was studied by flow analysis to identify discrete immune subsets. Treated MM samples displayed a reduction of CD4+ cells (p<0.0001) and an increase of CD8+ (p<0.0001), CD8+/DR+ (p<0.0001) and CD3+/CD57+ (p<0.0001) cells. Although these findings were to some extent demonstrated also following bortezomib treatment, a more pronounced cytotoxic polarization was shown after exposure to autologous stem cell transplantation (ASCT) and Lenalidomide (Len) treatment. As a matter of fact, samples of patients who received ASCT (n=110) and Len (n=118) were characterized, towards untreated patients (n=138 and n=130, respectively), by higher levels of CD8+ (p<0.0001 and p<0.0001, respectively), CD8+/DR+ (p=0.0252 and p=0.0001, respectively) and CD3+/CD57+ cells (p<0.0001 and p=0.0006, respectively) and lower levels of CD4+ lymphocytes (p<0.0001 and p=0.0005, respectively). We demonstrated that active MM patients are characterized by a relevant T cell modulation and that most of these changes are therapy-related. Current Myeloma treatments, notably ASCT and Len treatments, polarize immune system towards a dominant cytotoxic response, likely contributing to the anti-Myeloma effect of these regimens.
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Affiliation(s)
- Gregorio Barilà
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Laura Pavan
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Susanna Vedovato
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Tamara Berno
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Mariella Lo Schirico
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Massimiliano Arangio Febbo
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Antonella Teramo
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Giulia Calabretto
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Cristina Vicenzetto
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Vanessa Rebecca Gasparini
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Anna Fregnani
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Sabrina Manni
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Valentina Trimarco
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Samuela Carraro
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Monica Facco
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Francesco Piazza
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Gianpietro Semenzato
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
| | - Renato Zambello
- Department of Medicine (DIMED), Hematology and Clinical Immunology Section, Padua University School of Medicine, Padova, Italy
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Oliva S, Bruinink DHO, Rihova L, D'Agostino M, Pantani L, Capra A, van der Holt B, Troia R, Petrucci MT, Villanova T, Vsianska P, Jugooa R, Brandt-Hagens C, Gilestro M, Offidani M, Ribolla R, Galli M, Hajek R, Gay F, Cavo M, Omedé P, van der Velden VHJ, Boccadoro M, Sonneveld P. Minimal residual disease assessment by multiparameter flow cytometry in transplant-eligible myeloma in the EMN02/HOVON 95 MM trial. Blood Cancer J 2021; 11:106. [PMID: 34083504 PMCID: PMC8175611 DOI: 10.1038/s41408-021-00498-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 03/25/2021] [Accepted: 04/12/2021] [Indexed: 12/19/2022] Open
Abstract
Minimal residual disease (MRD) by multiparameter flow cytometry (MFC) is the most effective tool to define a deep response in multiple myeloma (MM). We conducted an MRD correlative study of the EMN02/HO95 MM phase III trial in newly diagnosed MM patients achieving a suspected complete response before maintenance and every 6 months during maintenance. Patients received high-dose melphalan (HDM) versus bortezomib-melphalan-prednisone (VMP) intensification, followed by bortezomib-lenalidomide-dexamethasone (VRd) versus no consolidation, and lenalidomide maintenance. Bone marrow (BM) samples were processed in three European laboratories, applying EuroFlow-based MFC protocols (eight colors, two tubes) with 10-4-10-5 sensitivity. At enrollment in the MRD correlative study, 76% (244/321) of patients were MRD-negative. In the intention-to-treat analysis, after a median follow-up of 75 months, 5-year progression-free survival was 66% in MRD-negative versus 31% in MRD-positive patients (HR 0.39; p < 0.001), 5-year overall survival was 86% versus 69%, respectively (HR 0.41; p < 0.001). MRD negativity was associated with reduced risk of progression or death in all subgroups, including ISS-III (HR 0.37) and high-risk fluorescence in situ hybridization (FISH) patients (HR 0.38;). In the 1-year maintenance MRD population, 42% of MRD-positive patients at pre-maintenance became MRD-negative after lenalidomide exposure. In conclusion, MRD by MFC is a strong prognostic factor. Lenalidomide maintenance further improved MRD-negativity rate.
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Affiliation(s)
- Stefania Oliva
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.
| | - Davine Hofste Op Bruinink
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
- Laboratory Medical Immunology, Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lucie Rihova
- Department of Clinical Hematology, University Hospital Brno, Brno, Czech Republic
| | - Mattia D'Agostino
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Lucia Pantani
- Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Department of Experimental, Diagnostic and Specialty Medicine, Bologna University School of Medicine, S Orsola Malpighi Hospital, Bologna, Italy
| | - Andrea Capra
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Bronno van der Holt
- HOVON Data Center, Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Rossella Troia
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Maria Teresa Petrucci
- Hematology, Department of Translational and Precision Medicine, Azienda Ospedaliera Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Tania Villanova
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Pavla Vsianska
- Department of Clinical Hematology, University Hospital Brno, Brno, Czech Republic
| | - Romana Jugooa
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Claudia Brandt-Hagens
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Milena Gilestro
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Massimo Offidani
- Clinica di Ematologia, Azienda Ospedaliero Universitaria Ospedali Riuniti Umberto I-G.M. Lancisi-G. Salesi di Ancona, Ancona, Italy
| | - Rossella Ribolla
- Division of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Monica Galli
- Dipartimento di Oncologia ed Ematologia, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Roman Hajek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic
- Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Francesca Gay
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Michele Cavo
- Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Department of Experimental, Diagnostic and Specialty Medicine, Bologna University School of Medicine, S Orsola Malpighi Hospital, Bologna, Italy
| | - Paola Omedé
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Vincent H J van der Velden
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mario Boccadoro
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
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Deep MRD profiling defines outcome and unveils different modes of treatment resistance in standard- and high-risk myeloma. Blood 2021; 137:49-60. [PMID: 32693406 DOI: 10.1182/blood.2020006731] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 06/30/2020] [Indexed: 01/14/2023] Open
Abstract
Patients with multiple myeloma (MM) carrying standard- or high-risk cytogenetic abnormalities (CAs) achieve similar complete response (CR) rates, but the later have inferior progression-free survival (PFS). This questions the legitimacy of CR as a treatment endpoint and represents a biological conundrum regarding the nature of tumor reservoirs that persist after therapy in high-risk MM. We used next-generation flow (NGF) cytometry to evaluate measurable residual disease (MRD) in MM patients with standard- vs high-risk CAs (n = 300 and 90, respectively) enrolled in the PETHEMA/GEM2012MENOS65 trial, and to identify mechanisms that determine MRD resistance in both patient subgroups (n = 40). The 36-month PFS rates were higher than 90% in patients with standard- or high-risk CAs achieving undetectable MRD. Persistent MRD resulted in a median PFS of ∼3 and 2 years in patients with standard- and high-risk CAs, respectively. Further use of NGF to isolate MRD, followed by whole-exome sequencing of paired diagnostic and MRD tumor cells, revealed greater clonal selection in patients with standard-risk CAs, higher genomic instability with acquisition of new mutations in high-risk MM, and no unifying genetic event driving MRD resistance. Conversely, RNA sequencing of diagnostic and MRD tumor cells uncovered the selection of MRD clones with singular transcriptional programs and reactive oxygen species-mediated MRD resistance in high-risk MM. Our study supports undetectable MRD as a treatment endpoint for patients with MM who have high-risk CAs and proposes characterizing MRD clones to understand and overcome MRD resistance. This trial is registered at www.clinicaltrials.gov as #NCT01916252.
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Mendonça de Pontes R, Flores-Montero J, Sanoja-Flores L, Puig N, Pessoa de Magalhães RJ, Corral-Mateos A, Salgado AB, García-Sánchez O, Pérez-Morán J, Mateos MV, Burgos L, Paiva B, te Marvelde J, van der Velden VHJ, Aguilar C, Bárez A, García-Mateo A, Labrador J, Leoz P, Aguilera-Sanz C, Durie B, van Dongen JJM, Maiolino A, Sobral da Costa E, Orfao A. B-Cell Regeneration Profile and Minimal Residual Disease Status in Bone Marrow of Treated Multiple Myeloma Patients. Cancers (Basel) 2021; 13:cancers13071704. [PMID: 33916787 PMCID: PMC8038337 DOI: 10.3390/cancers13071704] [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: 02/08/2021] [Revised: 03/27/2021] [Accepted: 03/29/2021] [Indexed: 11/16/2022] Open
Abstract
B-cell regeneration during therapy has been considered as a strong prognostic factor in multiple myeloma (MM). However, the effects of therapy and hemodilution in bone marrow (BM) B-cell recovery have not been systematically evaluated during follow-up. MM (n = 177) and adult (≥50y) healthy donor (HD; n = 14) BM samples were studied by next-generation flow (NGF) to simultaneously assess measurable residual disease (MRD) and residual normal B-cell populations. BM hemodilution was detected in 41 out of 177 (23%) patient samples, leading to lower total B-cell, B-cell precursor (BCP) and normal plasma cell (nPC) counts. Among MM BM, decreased percentages (vs. HD) of BCP, transitional/naïve B-cell (TBC/NBC) and nPC populations were observed at diagnosis. BM BCP increased after induction therapy, whereas TBC/NBC counts remained abnormally low. At day+100 postautologous stem cell transplantation, a greater increase in BCP with recovered TBC/NBC cell numbers but persistently low memory B-cell and nPC counts were found. At the end of therapy, complete response (CR) BM samples showed higher CD19- nPC counts vs. non-CR specimens. MRD positivity was associated with higher BCP and nPC percentages. Hemodilution showed a negative impact on BM B-cell distribution. Different BM B-cell regeneration profiles are present in MM at diagnosis and after therapy with no significant association with patient outcome.
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Affiliation(s)
- Robéria Mendonça de Pontes
- Internal Medicine Postgraduate Program, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil; (R.M.d.P.); (A.B.S.); (A.M.); (E.S.d.C.)
- Cytometry Service, Institute of Paediatrics and Puericultura Martagão Gesteira (IPPMG), Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-912, Brazil
| | - Juan Flores-Montero
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (J.F.-M.); (A.C.-M.)
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
| | - Luzalba Sanoja-Flores
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Institute of Biomedicine of Seville, Department of Hematology, University Hospital Virgen del Rocío of the Consejo Superior de Investigaciones Científicas (CSIC), University of Seville, 41013 Seville, Spain
| | - Noemi Puig
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | - Roberto J. Pessoa de Magalhães
- Department of Internal Medicine, University Hospital Clementino Fraga Filho, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil;
| | - Alba Corral-Mateos
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (J.F.-M.); (A.C.-M.)
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
| | - Anna Beatriz Salgado
- Internal Medicine Postgraduate Program, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil; (R.M.d.P.); (A.B.S.); (A.M.); (E.S.d.C.)
| | - Omar García-Sánchez
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | - José Pérez-Morán
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | - Maria-Victoria Mateos
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | - Leire Burgos
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Bruno Paiva
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Jeroen te Marvelde
- Department of Immunology, Erasmus MC, (EMC) University Medical Center Rotterdam, 3015 GA Rotterdam, The Netherlands; (J.t.M.); (V.H.J.v.d.V.)
| | - Vincent H. J. van der Velden
- Department of Immunology, Erasmus MC, (EMC) University Medical Center Rotterdam, 3015 GA Rotterdam, The Netherlands; (J.t.M.); (V.H.J.v.d.V.)
| | - Carlos Aguilar
- Department of Hematology, Hospital General de Santa Bárbara, 42005 Soria, Spain;
| | - Abelardo Bárez
- Department of Hematology, Complejo Asistencial de Ávila, 05071 Ávila, Spain;
| | | | - Jorge Labrador
- Department of Hematology and Research Unit, Hospital Universitario de Burgos, 09006 Burgos, Spain;
| | - Pilar Leoz
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Service of Hematology, University Hospital of Salamanca (USAL) and IBSAL, 37007 Salamanca, Spain
| | | | - Brian Durie
- Cedars-Sinai Samuel Oschin Cancer Center, Los Angeles, CA 90048, USA;
| | - Jacques J. M. van Dongen
- Department of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Correspondence: (J.J.M.v.D.); (A.O.); Tel.: +31-71-526-5128 (J.J.M.v.D.); +34-923-294811 (A.O.)
| | - Angelo Maiolino
- Internal Medicine Postgraduate Program, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil; (R.M.d.P.); (A.B.S.); (A.M.); (E.S.d.C.)
- Department of Internal Medicine, University Hospital Clementino Fraga Filho, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil;
- Americas Centro de Oncologia Integrado, Rio de Janeiro 22290-030, Brazil
| | - Elaine Sobral da Costa
- Internal Medicine Postgraduate Program, Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-617, Brazil; (R.M.d.P.); (A.B.S.); (A.M.); (E.S.d.C.)
- Cytometry Service, Institute of Paediatrics and Puericultura Martagão Gesteira (IPPMG), Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-912, Brazil
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (J.F.-M.); (A.C.-M.)
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) (CB16/12/00400, CB16/12/00233, CB16/12/00369, CB16/12/00489 and CB16/12/00480), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (O.G.-S.); (J.P.-M.); (M.-V.M.); (L.B.); (B.P.); (P.L.)
- Correspondence: (J.J.M.v.D.); (A.O.); Tel.: +31-71-526-5128 (J.J.M.v.D.); +34-923-294811 (A.O.)
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Maclachlan KH, Came N, Diamond B, Roshal M, Ho C, Thoren K, Mayerhoefer ME, Landgren O, Harrison S. Minimal residual disease in multiple myeloma: defining the role of next generation sequencing and flow cytometry in routine diagnostic use. Pathology 2021; 53:385-399. [PMID: 33674146 DOI: 10.1016/j.pathol.2021.02.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 02/01/2021] [Accepted: 02/03/2021] [Indexed: 12/11/2022]
Abstract
For patients diagnosed with multiple myeloma (MM) there have been significant treatment advances over the past decade, reflected in an increasing proportion of patients achieving durable remissions. Clinical trials repeatedly demonstrate that achieving a deep response to therapy, with a bone marrow assessment proving negative for minimal residual disease (MRD), confers a significant survival advantage. To accurately assess for minute quantities of residual cancer requires highly sensitive methods; either multiparameter flow cytometry or next generation sequencing are currently recommended for MM response assessment. Under optimal conditions, these methods can detect one aberrant cell amongst 1,000,000 normal cells (a sensitivity of 10-6). Here, we will review the practical use of MRD assays in MM, including challenges in implementation for the routine diagnostic laboratory, standardisation across laboratories and clinical trials, the clinical integration of MRD status assessment into MM management and future directions for ongoing research.
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Affiliation(s)
- Kylee H Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Haematology Service, Peter MacCallum Cancer Centre, East Melbourne, Vic, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Vic, Australia.
| | - Neil Came
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Vic, Australia; Pathology Department, Peter MacCallum Cancer Centre, East Melbourne, Vic, Australia
| | - Benjamin Diamond
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mikhail Roshal
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Caleb Ho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Katie Thoren
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marius E Mayerhoefer
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Myeloma Program, Department of Medicine, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Simon Harrison
- Haematology Service, Peter MacCallum Cancer Centre, East Melbourne, Vic, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Vic, Australia
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Vaxman I, Gertz MA. Measurable residual disease in multiple myeloma and light chain amyloidosis: more than meets the eye. Leuk Lymphoma 2021; 62:1544-1553. [PMID: 33508994 DOI: 10.1080/10428194.2021.1873320] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The emergence of highly effective multiple myeloma (MM) treatments may bring cure within reach and highlights the need for highly sensitive measurable residual disease (MRD) techniques to replace conventional response assessments. MRD is being incorporated as an endpoint in an increasing number of studies and had been repeatedly shown to be both a predictive marker of response to treatment and a prognostic marker for future relapse. However, those results should be cautiously interpreted due to non-uniform reporting and the need for longer follow up to assess for sustained MRD negativity. This review aims to critically analyze the key MRD aspects including the current evidence supporting the use of MRD in clinical practice and the pitfalls of the various methods used to assess MRD. The utility of MRD for light chain (AL) amyloidosis will also be discussed.
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Affiliation(s)
- Iuliana Vaxman
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.,Institute of Hematology, Davidoff Cancer Center, Rabin Medical Center, Petah-Tikvah, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Morie A Gertz
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
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Treatment Strategies Considering Micro-Environment and Clonal Evolution in Multiple Myeloma. Cancers (Basel) 2021; 13:cancers13020215. [PMID: 33435539 PMCID: PMC7827913 DOI: 10.3390/cancers13020215] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/03/2021] [Accepted: 01/06/2021] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Multiple myeloma is an uncurable hematological malignancy, although the prognosis of myeloma patients is getting better using proteasome inhibitors (PIs), immune modulatory drugs (IMiDs), monoclonal antibodies (MoAbs), and cytotoxic agents. Drug resistance makes myeloma difficult to treat and it can be subdivided into two broad categories: de novo and acquired. De novo drug resistance is associated with the bone marrow microenvironment including bone marrow stromal cells, the vascular niche and endosteal niche. Acquired drug resistance is related to clonal evolution and non-genetic diversity. The initial treatment plays the most important role considering de novo and acquired drug resistance and should contain PIs, IMIDs, MoAbs, and autologous stem cell transplantation because these treatments improve the bone marrow microenvironment and might prevent clonal evolution via sustained deep response including minimal residual disease negativity. Abstract Multiple myeloma is an uncurable hematological malignancy because of obtained drug resistance. Microenvironment and clonal evolution induce myeloma cells to develop de novo and acquired drug resistance, respectively. Cell adhesion-mediated drug resistance, which is induced by the interaction between myeloma and bone marrow stromal cells, and soluble factor-mediated drug resistance, which is induced by cytokines and growth factors, are two types of de novo drug resistance. The microenvironment, including conditions such as hypoxia, vascular and endosteal niches, contributes toward de novo drug resistance. Clonal evolution was associated with acquired drug resistance and classified as branching, linear, and neutral evolutions. The branching evolution is dependent on the microenvironment and escape of immunological surveillance while the linear and neutral evolution is independent of the microenvironment and associated with aggressive recurrence and poor prognosis. Proteasome inhibitors (PIs), immunomodulatory drugs (IMiDs), monoclonal antibody agents (MoAbs), and autologous stem cell transplantation (ASCT) have improved prognosis of myeloma via improvement of the microenvironment. The initial treatment plays the most important role considering de novo and acquired drug resistance and should contain PIs, IMIDs, MoAb and ASCT. This review summarizes the role of anti-myeloma agents for microenvironment and clonal evolution and treatment strategies to overcome drug resistance.
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Ninkovic S, Quach H. Shaping the Treatment Paradigm Based on the Current Understanding of the Pathobiology of Multiple Myeloma: An Overview. Cancers (Basel) 2020; 12:E3488. [PMID: 33238653 PMCID: PMC7700434 DOI: 10.3390/cancers12113488] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 11/11/2020] [Accepted: 11/19/2020] [Indexed: 02/06/2023] Open
Abstract
Multiple myeloma is an incurable malignancy which despite progressive improvements in overall survival over the last decade remains characterised by recurrent relapse with progressively shorter duration of response and treatment-free intervals with each subsequent treatment. Efforts to unravel the complex and heterogeneous genomic alterations, the marked dysregulation of the immune system and the multifarious interplay between malignant plasma cells and those of the tumour microenvironment have not only led to improved understanding of myelomagenesis and disease progression but have facilitated the rapid development of novel therapeutics including immunotherapies and small molecules bringing us a step closer to therapies that no doubt will extend survival. Novel therapeutic combinations both in the upfront and relapsed setting as well as novel methods to assess response and guide management are rapidly transforming the management of myeloma.
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Affiliation(s)
- Slavisa Ninkovic
- Department of Haematology, St. Vincent’s Hospital Melbourne, Fitzroy, VIC 3065, Australia;
- Faculty of Medicine, University of Melbourne, Fitzroy, VIC 3065, Australia
| | - Hang Quach
- Department of Haematology, St. Vincent’s Hospital Melbourne, Fitzroy, VIC 3065, Australia;
- Faculty of Medicine, University of Melbourne, Fitzroy, VIC 3065, Australia
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van Beers EH, Huigh D, Bosman L, de Best L, Kuiper R, Spaan M, van Duin M, Sonneveld P, Dumee B, van Vliet MH. Analytical Validation of SKY92 for the Identification of High-Risk Multiple Myeloma. J Mol Diagn 2020; 23:120-129. [PMID: 33152501 DOI: 10.1016/j.jmoldx.2020.10.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 10/09/2020] [Accepted: 10/21/2020] [Indexed: 11/16/2022] Open
Abstract
Multiple myeloma (MM) is an incurable plasma cell cancer with a large variability in survival. Patients with MM classified as high risk by the SKY92 gene expression classifier are at high risk of relapse and short survival. Analytical validation of the SKY92 assay was performed with primary bone marrow specimens from 12 patients with MM and 7 reference cell line specimens. The SKY92 results were 100% concordant with the reference and/or their expected result for sensitivity, specificity, microarray stability, and RLT buffer stability. The SKY92 results were 90% concordant for primary specimen stability, 96.4% concordant for intermediate precision, and 80% to 100% concordant for RNA stability. For the cell-line reproducibility, the concordance was at least 92.9%, except for one near-cut point specimen. For the clinical specimen reproducibility, the concordance was 100%, except for two near-cut point specimens. Three independent laboratories were concordant in ≥77.8% and ≥92.9% of experiments for patient specimens and cell lines, respectively. Statistical acceptance thresholds were developed as Δ ≤1.48 (change in SKY92 score) and SD ≤0.45 (SD across SKY92 scores). Using the Clinical and Laboratory Standards Institute method of choice (EP05-A2/A3), restricted maximum likelihood, the observed Δ values (0 to 1.14) and SDs (0.22 to 0.31) passed acceptance criteria. Thus, we successfully present analytical validation for the SKY92 assay as a prognostic molecular test for individual patients with MM.
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Affiliation(s)
| | | | | | | | | | | | - Mark van Duin
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Pieter Sonneveld
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
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Papadimitriou K, Tsakirakis N, Malandrakis P, Vitsos P, Metousis A, Orologas-Stavrou N, Ntanasis-Stathopoulos I, Kanellias N, Eleutherakis-Papaiakovou E, Pothos P, Fotiou D, Gavriatopoulou M, Kastritis E, Dimopoulos MA, Terpos E, Tsitsilonis OE, Kostopoulos IV. Deep Phenotyping Reveals Distinct Immune Signatures Correlating with Prognostication, Treatment Responses, and MRD Status in Multiple Myeloma. Cancers (Basel) 2020; 12:E3245. [PMID: 33158030 PMCID: PMC7692501 DOI: 10.3390/cancers12113245] [Citation(s) in RCA: 22] [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: 09/16/2020] [Revised: 10/16/2020] [Accepted: 10/29/2020] [Indexed: 12/16/2022] Open
Abstract
Despite recent advances, Multiple Myeloma (MM) remains an incurable disease with apparent heterogeneity that may explain patients' variable clinical outcomes. While the phenotypic, (epi)genetic, and molecular characteristics of myeloma cells have been thoroughly examined, there is limited information regarding the role of the bone marrow (BM) microenvironment in the natural history of the disease. In the present study, we performed deep phenotyping of 32 distinct immune cell subsets in a cohort of 94 MM patients to reveal unique immune profiles in both BM and peripheral blood (PB) that characterize distinct prognostic groups, responses to induction treatment, and minimal residual disease (MRD) status. Our data show that PB cells do not reflect the BM microenvironment and that the two sites should be studied independently. Adverse ISS stage and high-risk cytogenetics were correlated with distinct immune profiles; most importantly, BM signatures comprised decreased tumor-associated macrophages (TAMs) and erythroblasts, whereas the unique Treg signatures in PB could discriminate those patients achieving complete remission after VRd induction therapy. Moreover, MRD negative status was correlated with a more experienced CD4- and CD8-mediated immunity phenotype in both BM and PB, thus highlighting a critical role of by-stander cells linked to MRD biology.
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Affiliation(s)
- Konstantinos Papadimitriou
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece; (K.P.); (N.T.); (P.V.); (A.M.); (N.O.-S.); (P.P.)
| | - Nikolaos Tsakirakis
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece; (K.P.); (N.T.); (P.V.); (A.M.); (N.O.-S.); (P.P.)
| | - Panagiotis Malandrakis
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (P.M.); (I.N.-S.); (N.K.); (E.E.-P.); (D.F.); (M.G.); (E.K.); (M.-A.D.); (E.T.)
| | - Panagiotis Vitsos
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece; (K.P.); (N.T.); (P.V.); (A.M.); (N.O.-S.); (P.P.)
| | - Andreas Metousis
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece; (K.P.); (N.T.); (P.V.); (A.M.); (N.O.-S.); (P.P.)
| | - Nikolaos Orologas-Stavrou
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece; (K.P.); (N.T.); (P.V.); (A.M.); (N.O.-S.); (P.P.)
| | - Ioannis Ntanasis-Stathopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (P.M.); (I.N.-S.); (N.K.); (E.E.-P.); (D.F.); (M.G.); (E.K.); (M.-A.D.); (E.T.)
| | - Nikolaos Kanellias
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (P.M.); (I.N.-S.); (N.K.); (E.E.-P.); (D.F.); (M.G.); (E.K.); (M.-A.D.); (E.T.)
| | - Evangelos Eleutherakis-Papaiakovou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (P.M.); (I.N.-S.); (N.K.); (E.E.-P.); (D.F.); (M.G.); (E.K.); (M.-A.D.); (E.T.)
| | - Panagiotis Pothos
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece; (K.P.); (N.T.); (P.V.); (A.M.); (N.O.-S.); (P.P.)
| | - Despina Fotiou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (P.M.); (I.N.-S.); (N.K.); (E.E.-P.); (D.F.); (M.G.); (E.K.); (M.-A.D.); (E.T.)
| | - Maria Gavriatopoulou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (P.M.); (I.N.-S.); (N.K.); (E.E.-P.); (D.F.); (M.G.); (E.K.); (M.-A.D.); (E.T.)
| | - Efstathios Kastritis
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (P.M.); (I.N.-S.); (N.K.); (E.E.-P.); (D.F.); (M.G.); (E.K.); (M.-A.D.); (E.T.)
| | - Meletios-Athanasios Dimopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (P.M.); (I.N.-S.); (N.K.); (E.E.-P.); (D.F.); (M.G.); (E.K.); (M.-A.D.); (E.T.)
| | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (P.M.); (I.N.-S.); (N.K.); (E.E.-P.); (D.F.); (M.G.); (E.K.); (M.-A.D.); (E.T.)
| | - Ourania E. Tsitsilonis
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece; (K.P.); (N.T.); (P.V.); (A.M.); (N.O.-S.); (P.P.)
| | - Ioannis V. Kostopoulos
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece; (K.P.); (N.T.); (P.V.); (A.M.); (N.O.-S.); (P.P.)
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Holstein SA, Howard A, Avigan D, Bhutani M, Cohen AD, Costa LJ, Dhodapkar MV, Gay F, Gormley N, Green DJ, Hillengass J, Korde N, Li Z, Mailankody S, Neri P, Parekh S, Pasquini MC, Puig N, Roodman GD, Samur MK, Shah N, Shah UA, Shi Q, Spencer A, Suman VJ, Usmani SZ, McCarthy PL. Summary of the 2019 Blood and Marrow Transplant Clinical Trials Network Myeloma Intergroup Workshop on Minimal Residual Disease and Immune Profiling. Biol Blood Marrow Transplant 2020; 26:e247-e255. [PMID: 32589921 PMCID: PMC7529908 DOI: 10.1016/j.bbmt.2020.06.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 06/11/2020] [Accepted: 06/11/2020] [Indexed: 12/22/2022]
Abstract
The Blood and Marrow Transplant Clinical Trials Network (BMT CTN) Myeloma Intergroup has organized an annual workshop focused on minimal residual disease (MRD) testing and immune profiling (IP) in multiple myeloma since 2016. In 2019, the workshop took place as an American Society of Hematology (ASH) Friday Scientific Workshop titled "Immune Profiling and Minimal Residual Disease Testing in Multiple Myeloma." This workshop focused on 4 main topics: the molecular and immunologic evolution of plasma cell disorders, development of new laboratory- and imaging-based MRD assessment approaches, chimeric antigen receptor T cell therapy research, and statistical and regulatory issues associated with novel clinical endpoints. In this report, we provide a summary of the workshop and discuss future directions.
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Affiliation(s)
| | - Alan Howard
- Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota
| | - David Avigan
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | | | - Adam D Cohen
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | - Francesca Gay
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Nicole Gormley
- US Food and Drug Administration, Silver Spring, Maryland
| | - Damian J Green
- Fred Hutchinson Cancer Research Center & Seattle Cancer Care Alliance, Seattle, Washington
| | | | - Neha Korde
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Zihai Li
- The Ohio State University, Columbus, Ohio
| | | | | | - Samir Parekh
- Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Noemi Puig
- Institute for Biomedical Research of Salamanca, University Hospital of Salamanca, Salamanca, Spain
| | - G David Roodman
- Indiana University School of Medicine, Indianapolis, Indiana
| | | | - Nina Shah
- University of California San Francisco, San Francisco, California
| | - Urvi A Shah
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Qian Shi
- Mayo Clinic, Rochester, Minnesota
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47
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Costa LJ, Derman BA, Bal S, Sidana S, Chhabra S, Silbermann R, Ye JC, Cook G, Cornell RF, Holstein SA, Shi Q, Omel J, Callander NS, Chng WJ, Hungria V, Maiolino A, Stadtmauer E, Giralt S, Pasquini M, Jakubowiak AJ, Morgan GJ, Krishnan A, Jackson GH, Mohty M, Mateos MV, Dimopoulos MA, Facon T, Spencer A, Miguel JS, Hari P, Usmani SZ, Manier S, McCarthy P, Kumar S, Gay F, Paiva B. International harmonization in performing and reporting minimal residual disease assessment in multiple myeloma trials. Leukemia 2020; 35:18-30. [DOI: 10.1038/s41375-020-01012-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 07/27/2020] [Accepted: 07/29/2020] [Indexed: 12/24/2022]
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Paul B, Atrash S, Bhutani M, Voorhees P, Hamadeh I, Usmani SZ. An evaluation of subcutaneous daratumumab for the treatment of multiple myeloma. Expert Rev Hematol 2020; 13:795-802. [PMID: 32659139 DOI: 10.1080/17474086.2020.1795829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION A subcutaneous formulation of daratumumab, a human immunoglobulin G1 kappa monoclonal antibody targeting CD38, recently achieved FDA approval for both newly diagnosed and relapsed refractory multiple myeloma amid promises to decrease infusion times and rates of infusion reactions in myeloma patients. AREAS COVERED In this article the biology behind subcutaneous administration of oncologic antibody therapies is reviewed and the subcutaneous formulation of daratumumab is covered in depth. The most recent results from the PAVO, COLUMBA, and PLEIADES clinical trials evaluating subcutaneous daratumumab as a single agent, and in combination, in both newly diagnosed, and relapsed and refractory myeloma patients are summarized. The efficacy, safety, and PK data from these trials are reviewed, and the potential of the subcutaneous formulation to improve quality of life in myeloma patients and decrease healthcare resource use is discussed. EXPERT OPINION Subcutaneous daratumumab is non-inferior to conventional intravenous daratumumab with lower risk of infusion-related reactions and decreased administration time. Based on these data, and the recent FDA and European Commission approvalsthe widespread use of the subcutaneous formulation for both conventional and investigational practice is supported.
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Affiliation(s)
- Barry Paul
- Division of Plasma Cell Disorders, Department of Hematologic Oncology & Blood Disorders, Levine Cancer Institute/Atrium Health , Charlotte, NC, USA
| | - Shebli Atrash
- Division of Plasma Cell Disorders, Department of Hematologic Oncology & Blood Disorders, Levine Cancer Institute/Atrium Health , Charlotte, NC, USA
| | - Manisha Bhutani
- Division of Plasma Cell Disorders, Department of Hematologic Oncology & Blood Disorders, Levine Cancer Institute/Atrium Health , Charlotte, NC, USA
| | - Peter Voorhees
- Division of Plasma Cell Disorders, Department of Hematologic Oncology & Blood Disorders, Levine Cancer Institute/Atrium Health , Charlotte, NC, USA
| | - Issam Hamadeh
- Division of Plasma Cell Disorders, Department of Hematologic Oncology & Blood Disorders, Levine Cancer Institute/Atrium Health , Charlotte, NC, USA
| | - Saad Z Usmani
- Division of Plasma Cell Disorders, Department of Hematologic Oncology & Blood Disorders, Levine Cancer Institute/Atrium Health , Charlotte, NC, USA
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49
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Mina R, Oliva S, Boccadoro M. Minimal Residual Disease in Multiple Myeloma: State of the Art and Future Perspectives. J Clin Med 2020; 9:E2142. [PMID: 32645952 PMCID: PMC7408660 DOI: 10.3390/jcm9072142] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/01/2020] [Accepted: 07/02/2020] [Indexed: 12/18/2022] Open
Abstract
Minimal residual disease (MRD) detection represents a sensitive tool to appropriately measure the response obtained with therapies for multiple myeloma (MM). The achievement of MRD negativity has superseded the conventional complete response (CR) and has been proposed as a surrogate endpoint for progression-free survival and overall survival. Several techniques are available for the detection of MRD inside (next-generation sequencing, flow cytometry) and outside (PET/CT, magnetic resonance) the bone marrow, and their complementary use allows a precise definition of the efficacy of anti-myeloma treatments. This review summarizes MRD data and results from previous clinical trials, highlights open issues related to the role of MRD in MM and discusses how MRD could be implemented in clinical practice to inform on patient prognosis and drive therapeutic decisions.
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50
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Burgos L, Puig N, Cedena MT, Mateos MV, Lahuerta JJ, Paiva B, San-Miguel JF. Measurable residual disease in multiple myeloma: ready for clinical practice? J Hematol Oncol 2020; 13:82. [PMID: 32571377 PMCID: PMC7310444 DOI: 10.1186/s13045-020-00911-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 06/04/2020] [Indexed: 01/11/2023] Open
Abstract
The landscape of multiple myeloma (MM) has changed considerably in the past two decades regarding new treatments, insight into disease biology and innovation in the techniques available to assess measurable residual disease (MRD) as the most accurate method to evaluate treatment efficacy. The sensitivity and standardization achieved by these techniques together with unprecedented rates of complete remission (CR) induced by new regimens, raised enormous interest in MRD as a surrogate biomarker of patients' outcome and endpoint in clinical trials. By contrast, there is reluctance and general lack of consensus on how to use MRD outside clinical trials. Here, we discuss critical aspects related with the implementation of MRD in clinical practice.
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Affiliation(s)
- Leire Burgos
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), CIBER-ONC number CB16/12/00369, Pamplona, Spain
| | - Noemi Puig
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | | | - María-Victoria Mateos
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | | | - Bruno Paiva
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), CIBER-ONC number CB16/12/00369, Pamplona, Spain
| | - Jesús F San-Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), CIBER-ONC number CB16/12/00369, Pamplona, Spain.
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