1
|
Yan W, Shi L, Xu J, Li L, Cui J, Liu Y, Zhou J, Du C, Yu T, Zhang S, Lv R, Sui W, Deng S, Li X, Du X, Xu Y, Zou D, Qiu L, Hao M, An G. Clinical implications of residual normal plasma cells within bone marrow across various disease stages in multiple myeloma. Leukemia 2024:10.1038/s41375-024-02366-9. [PMID: 39095502 DOI: 10.1038/s41375-024-02366-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Revised: 07/22/2024] [Accepted: 07/25/2024] [Indexed: 08/04/2024]
Abstract
Residual normal plasma cells (NPCs), which compete with tumor plasma cells, play an important role in multiple myeloma. However, large-scale cohort studies investigating residual NPCs, especially at the minimal residual disease (MRD) phase, are currently lacking. In this study, we conducted a comprehensive investigation into the clinical significance of residual NPCs throughout the entire disease course in 1363 myeloma patients from the NICHE cohort (NCT04645199). Our results revealed that myeloma patients with high baseline NPCs ratio (≥5%) exhibited distinct indolent features, characterized by lower tumor burden, reduced frequencies of cytopenia, immunoparesis, and high-risk cytogenetics. Importantly, high residual NPCs ratio at diagnosis or relapse was independently associated with favorable survival. High absolute percentages of NPCs at undetectable MRD were related with superior clinical benefit and immune reconstitution. At MRD-positive phases, grouping based on NPCs ratio (<50%, 50-90%, ≥90%) demonstrated better risk stratification compared to residual tumor log levels. Based on the time-dependent NPCs ratio trend, we developed a dynamic MRD model that classifies patients into three groups with diverse longitudinal trends, leading to distinct prognoses. Collectively, residual NPCs serves not only as a valuable complementary biomarker for risk stratification but also provides valuable insights on reclassifications and kinetics of MRD.
Collapse
Affiliation(s)
- Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lihui Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jian Cui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yuntong Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jieqiong Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Tengteng Yu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shuaishuai Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Rui Lv
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Xiaoqing Li
- Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xin Du
- Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
- Beijing GoBroad Boren Hospital, Beijing, China.
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
- Beijing GoBroad Boren Hospital, Beijing, China.
| |
Collapse
|
2
|
Jevremovic D, Shi M, Horna P, Otteson GE, Timm MM, Baughn LB, Greipp PT, Gonsalves WI, Kapoor P, Gertz MA, Binder M, Buadi FK, Zhou J, Dispenzieri A, Kourelis T, Muchtar E, Rajkumar SV, Kumar SK, Olteanu H. Real-life sensitivity of flow cytometry minimal residual disease assessment for plasma cell neoplasms. Blood Cancer J 2024; 14:126. [PMID: 39085227 PMCID: PMC11291477 DOI: 10.1038/s41408-024-01113-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/22/2024] [Accepted: 07/25/2024] [Indexed: 08/02/2024] Open
Affiliation(s)
| | - Min Shi
- Division of Hematopathology, Mayo Clinic, Rochester, MN, USA
| | - Pedro Horna
- Division of Hematopathology, Mayo Clinic, Rochester, MN, USA
| | | | - Michael M Timm
- Division of Hematopathology, Mayo Clinic, Rochester, MN, USA
| | - Linda B Baughn
- Division of Hematopathology, Mayo Clinic, Rochester, MN, USA
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Patricia T Greipp
- Division of Hematopathology, Mayo Clinic, Rochester, MN, USA
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Wilson I Gonsalves
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Prashant Kapoor
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Morie A Gertz
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Moritz Binder
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Francis K Buadi
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Jiehao Zhou
- Department of Laboratory Medicine and Pathology, Mayo Clinic Scottsdale, Scottsdale, AZ, USA
| | - Angela Dispenzieri
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Taxiarchis Kourelis
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Eli Muchtar
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - S Vincent Rajkumar
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Shaji K Kumar
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Horatiu Olteanu
- Division of Hematopathology, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|
3
|
Qiang W, Lu J, Jia Y, Liu J, Liu J, He H, Wang X, Fan X, Jin L, Ruan Q, Zhang Q, Shen L, Weng L, Cao W, Li W, Du J. B-Cell Maturation Antigen/CD19 Dual-Targeting Immunotherapy in Newly Diagnosed Multiple Myeloma. JAMA Oncol 2024:2821602. [PMID: 39052306 PMCID: PMC11273281 DOI: 10.1001/jamaoncol.2024.2172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 02/29/2024] [Indexed: 07/27/2024]
Abstract
Importance Patients with high-risk newly diagnosed multiple myeloma (NDMM) often have poor outcomes with standard treatments, necessitating novel effective frontline therapies to enhance clinical outcomes. GC012F, a B-cell maturation antigen/CD19 dual-targeting chimeric antigen receptor (CAR) T-cell therapy, has been developed on the novel FasTCAR platform. Notably, its use as a frontline therapy for patients with high-risk NDMM who are eligible for transplant has not been thoroughly explored. Objective To examine the safety, pharmacokinetics, and patient health and survival outcomes associated with GC012F in individuals with NDMM. Design, Setting, and Participants Patients were enrolled in this single-arm, open-label phase 1 cohort study between June 28, 2021, and June 1, 2023 (the data cutoff date). All patients included in this study were treated at a single center, Shanghai Changzheng Hospital. The patients in the efficacy evaluation were followed up for a minimum period of 3 months. Intervention Patients underwent 2 cycles of induction therapy, followed by GC012F infusion (at 1 × 105 cells/kg, 2 × 105 cells/kg, or 3 × 105 cells/kg). Main Outcomes and Measures The primary goals were to assess the safety, efficacy, and pharmacokinetics of GC012F at various dose levels. Results Of 22 patients receiving GC012F treatment, 6 experienced mild to moderate cytokine release syndrome (grade 1-2) and none experienced neurotoxic effects. Nineteen patients were included in the efficacy evaluation, and all 19 patients showed stringent complete responses and achieved minimal residual disease negativity. The treatment's effectiveness was consistent across different dose levels. GC012F demonstrated a rapid response, with a median time to first stringent complete response of 84 days (range, 26-267 days) and achieving minimal residual disease negativity within 28 days (range, 23-135 days). The CAR T-cell expansion was robust, with a median peak copy number of 60 652 copies/μg genomic DNA (range, 8754-331 159 copies/μg genomic DNA), and the median time to median peak copy number was 10 days (range, 9-14 days). Conclusions and Relevance The findings of this single-arm, open-label phase 1 cohort study suggest that GC012F may be a safe treatment associated with positive health and survival outcomes for patients with high-risk NDMM eligible for transplant. Owing to the small sample size, further studies with larger cohorts and longer follow-up durations are needed.
Collapse
Affiliation(s)
- Wanting Qiang
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| | - Jing Lu
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| | - Yanchun Jia
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| | - Jia Liu
- Gracell Biotechnologies Ltd, Shanghai, China
| | - Jin Liu
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| | - Haiyan He
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| | - Xiaoxiang Wang
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| | - Xiaoqiang Fan
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| | - Lina Jin
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| | - Qianqi Ruan
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| | - Qi Zhang
- Gracell Biotechnologies Ltd, Shanghai, China
| | | | - Lihong Weng
- Gracell Biotechnologies Ltd, Shanghai, China
| | - Wei Cao
- Gracell Biotechnologies Ltd, Shanghai, China
| | - Wenling Li
- Gracell Biotechnologies Ltd, Shanghai, China
| | - Juan Du
- Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, Shanghai, China
| |
Collapse
|
4
|
Mollee P, Reynolds J, Janowski W, Quach H, Campbell P, Gibbs S, Lee S, Lee E, Taylor K, Cochrane T, Wallington-Gates C, Kwok F, Weber N, Kerridge I, Weston H, Ho PJ, Leahy MF, Horvath N, Spencer A. Daratumumab, cyclophosphamide, bortezomib, and dexamethasone for transplant-ineligible myeloma: AMaRC 03-16. Blood Adv 2024; 8:3721-3730. [PMID: 38739707 PMCID: PMC11296246 DOI: 10.1182/bloodadvances.2023012539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 04/04/2024] [Accepted: 04/26/2024] [Indexed: 05/16/2024] Open
Abstract
ABSTRACT In newly diagnosed transplant-ineligible patients with myeloma, daratumumab has improved outcomes when added to the standard-of-care regimens. In a randomized trial, we tested whether similar improvements would be observed when daratumumab was added to the bortezomib, cyclophosphamide, and dexamethasone (VCD) regimen. Transplant-ineligible patients with untreated myeloma were randomized to receive VCD or VCD plus daratumumab (VCDD). A total of 121 patients were randomized: 57 in the VCD arm and 64 in the VCDD arm. Baseline characteristics were balanced between the 2 arms. The median progression-free survival (PFS) was 16.8 months (95% confidence interval [CI], 15.3-21.7) and 25.8 months (95% CI, 19.9-33.5) in the VCD and VCDD arms, respectively (hazard ratio, 0.67; log-rank test P = .066). In a preplanned analysis, it was demonstrated that the daratumumab-containing arm showed a significant improvement in PFS from 18 months onward, based on estimates at fixed time points after randomization. The proportions of patients who were progression-free at the following time points were: 18 months, 48% vs 68% (P = .0002); 24 months, 36% vs 52% (P = .0001); and 30 months, 27% vs 41% (P < .0001) in the VCD and VCDD arms, respectively. The best overall response and very good partial response rate were significantly higher in the daratumumab arm compared with the VCD and VCDD arms, respectively (65% vs 86%, P = .007; and 28% vs 52%, P = .009). Seventy-two percent of the VCDD patients completed the 9 cycles of induction therapy with no grade 3 or 4 peripheral neuropathy adverse events. This study supports VCDD as an option for the initial treatment of transplant-ineligible patients with myeloma. This trial was registered at the Australian New Zealand Clinical Trials Registry (ACTRN12617000202369).
Collapse
Affiliation(s)
- Peter Mollee
- Haematology Department, Princess Alexandra Hospital, Brisbane, QLD, Australia
- School of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - John Reynolds
- Haematology Department, Alfred Hospital, Melbourne, VIC, Australia
- Haematology Department, Monash University, Melbourne, VIC, Australia
| | - Wojt Janowski
- Haematology Department, Calvary Mater Newcastle, Newcastle, NSW, Australia
| | - Hang Quach
- Haematology Department, University of Melbourne and St Vincent’s Hospital, Melbourne, VIC, Australia
| | - Philip Campbell
- Haematology Department, University Hospital Geelong - Barwon Health, Geelong, VIC, Australia
| | - Simon Gibbs
- Haematology Department, Eastern Health, Box Hill, VIC, Australia
| | - Sophie Lee
- Haematology Department, Western Health, Melbourne, VIC, Australia
| | - Edwin Lee
- Haematology Department, Canberra Hospital, Canberra, ACT, Australia
| | | | - Tara Cochrane
- Haematology Department, Gold Coast University Hospital and Griffith University, Gold Coast, QLD, Australia
| | - Craig Wallington-Gates
- Haematology Department, Flinders Medical Centre and Flinders University, Adelaide, SA, Australia
| | - Fiona Kwok
- Haematology Department, Westmead Hospital, Sydney, NSW, Australia
| | - Nicholas Weber
- Haematology Department, Royal Brisbane and Women’s Hospital, Brisbane, QLD, Australia
| | - Ian Kerridge
- Haematology Department, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Helen Weston
- Haematology Department, Sunshine Coast University Hospital, Sunshine Coast, QLD, Australia
| | - P. Joy Ho
- Haematology Department, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | | | - Noemi Horvath
- Haematology Department, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Andrew Spencer
- Haematology Department, Alfred Hospital, Melbourne, VIC, Australia
- Haematology Department, Monash University, Melbourne, VIC, Australia
| |
Collapse
|
5
|
Ziccheddu B, Giannotta C, D'Agostino M, Bertuglia G, Saraci E, Oliva S, Genuardi E, Papadimitriou M, Diamond B, Corradini P, Coffey D, Landgren O, Bolli N, Bruno B, Boccadoro M, Massaia M, Maura F, Larocca A. Genomic and immune determinants of resistance to daratumumab-based therapy in relapsed refractory multiple myeloma. Blood Cancer J 2024; 14:117. [PMID: 39030183 PMCID: PMC11271515 DOI: 10.1038/s41408-024-01096-6] [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: 02/13/2024] [Revised: 07/01/2024] [Accepted: 07/08/2024] [Indexed: 07/21/2024] Open
Abstract
Targeted immunotherapy combinations, including the anti-CD38 monoclonal antibody (MoAb) daratumumab, have shown promising results in patients with relapsed/refractory multiple myeloma (RRMM), leading to a considerable increase in progression-free survival. However, a large fraction of patients inevitably relapse. To understand this, we investigated 32 relapsed MM patients treated with daratumumab, lenalidomide, and dexamethasone (Dara-Rd; NCT03848676). We conducted an integrated analysis using whole-genome sequencing (WGS) and flow cytometry in patients with RRMM. WGS before and after treatment pinpointed genomic drivers associated with early progression, including RPL5 loss, APOBEC mutagenesis, and gain of function structural variants involving MYC and chromothripsis. Flow cytometry on 202 blood samples, collected every 3 months until progression for 31 patients, revealed distinct immune changes significantly impacting clinical outcomes. Progressing patients exhibited significant depletion of CD38-positive NK cells, persistence of T-cell exhaustion, and reduced depletion of regulatory T cells over time. These findings underscore the influence of immune composition and daratumumab-induced immune changes in promoting MM resistance. Integrating genomics and flow cytometry unveiled associations between adverse genomic features and immune patterns. Overall, this study sheds light on the intricate interplay between genomic complexity and the immune microenvironment driving resistance to Dara-Rd in patients with RRMM.
Collapse
Affiliation(s)
- Bachisio Ziccheddu
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Claudia Giannotta
- Laboratory of Blood Tumor Immunology, Molecular Biotechnology Center "Guido Tarone", Department of Molecular Biotechnology and Health Sciences, Università di Torino, Torino, Italy
| | - Mattia D'Agostino
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Giuseppe Bertuglia
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Elona Saraci
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Stefania Oliva
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Elisa Genuardi
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Marios Papadimitriou
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Benjamin Diamond
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Paolo Corradini
- Division of Hematology and Bone Marrow Transplant, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - David Coffey
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Ola Landgren
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Niccolò Bolli
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Oncology and Onco-Hematology, University of Milan, Milan, Italy
| | - Benedetto Bruno
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | | | - Massimo Massaia
- Laboratory of Blood Tumor Immunology, Molecular Biotechnology Center "Guido Tarone", Department of Molecular Biotechnology and Health Sciences, Università di Torino, Torino, Italy
- SC Ematologia, AO S. Croce e Carle, Cuneo, Italy
| | - Francesco Maura
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA.
| | - Alessandra Larocca
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| |
Collapse
|
6
|
Gantana EJ, Musekwa E, Chapanduka ZC. Advances in estimating plasma cells in bone marrow: A comprehensive method review. Afr J Lab Med 2024; 13:2381. [PMID: 39114749 PMCID: PMC11304106 DOI: 10.4102/ajlm.v13i1.2381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/25/2024] [Indexed: 08/10/2024] Open
Abstract
The quantitation of plasma cells in bone marrow (BM) is crucial for diagnosing and classifying plasma cell neoplasms. Various methods, including Romanowsky-stained BM aspirates (BMA), immunohistochemistry, flow cytometry, and radiological imaging, have been explored. However, challenges such as patchy infiltration and sample haemodilution can impact the reliability of BM plasma cell percentage estimates. Bone marrow plasma cell percentage varies across methods, with immunohistochemically stained biopsies consistently yielding higher values than Romanowsky-stained BMA or flow cytometry alone. CD138 or MUM1 immunohistochemistry and artificial intelligence image analysis on whole-slide images are emerging as promising tools for accurate plasma cell identification and quantification. Radiological imaging, particularly with advanced technologies like dual-energy computed tomography and radiomics, shows potential for multiple myeloma diagnosis, although standardisation remains a challenge. Molecular techniques, such as allele-specific oligonucleotide quantitative polymerase chain reaction and next-generation sequencing, offer insights into clonality and measurable residual disease. While no consensus exists on a gold standard method for BM plasma cell quantitation, CD138-stained biopsies are favoured for accurate estimation and play a pivotal role in diagnosing and assessing multiple myeloma treatment responses. Combining multiple methods, such as BMA, BM biopsy, and flow cytometry, enhances accuracy of diagnosis and classification of plasma cell neoplasms. The quest for a gold standard requires ongoing research and collaboration to refine existing methods. Furthermore, the rise of digital pathology is anticipated to reshape laboratory medicine and the role of pathologists in the digital era. What this study adds This article adds a comprehensive review and comparison of different methods for plasma cell estimation in the bone marrow, highlighting their strengths and limitations. The goal is to contribute valuable insights that can guide the selection of optimal techniques for accurate plasma cell estimation.
Collapse
Affiliation(s)
- Ethan J Gantana
- Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Department of Haematology, National Health Laboratory Service, Cape Town, South Africa
| | - Ernest Musekwa
- Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Department of Haematology, National Health Laboratory Service, Cape Town, South Africa
| | - Zivanai C Chapanduka
- Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Department of Haematology, National Health Laboratory Service, Cape Town, South Africa
| |
Collapse
|
7
|
Puertas B, Fernández-Sánchez A, Alejo E, Rey-Búa B, Martín-López AA, Pérez-López E, López-Parra M, López-Corral L, Gutiérrez-Gutiérrez NC, García-Sanz R, Puig N, González-Calle V, Mateos MV. A research center's experience of T-cell-redirecting therapies in triple-class refractory multiple myeloma. Blood Adv 2024; 8:3478-3487. [PMID: 38717869 PMCID: PMC11260841 DOI: 10.1182/bloodadvances.2024012773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/18/2024] [Indexed: 06/29/2024] Open
Abstract
ABSTRACT The efficacies of chimeric antigen receptor T cells (CAR-Ts) and bispecific monoclonal antibodies (BiAbs) for triple-class refractory (TCR) myeloma have not previously been compared, and clinical data on how to rescue patients after relapse from these immunotherapies are limited. A retrospective study of 73 TCR patients included in trials was conducted: 36 received CAR-Ts and 37 received BiAbs. CAR-Ts produced a higher overall response rate (ORR) than BiAbs (97.1% vs 56.8%, P = .002). After a median of follow-up of 18.7 months, no significant difference in progression-free survival (PFS) was observed between the CAR-T and BiAbs groups (16.6 vs 10.8 months; P = .090), whereas overall survival (OS) was significantly longer in the CAR-T than in the BiAbs group (49.2 vs 22.6 months; P = .021). BiAbs after CAR-Ts yielded a higher ORR and longer PFS2 than did nonredirecting T-cell therapies after CAR-Ts (ORR: 87.5% vs 50.0%; PFS2: 22.9 vs 12.4 months). By contrast, BiAbs after BiAbs resulted in an ORR of 33% and PFS2 of 8.4 months, which was similar to that produced by the nonredirecting T-cell therapies (ORR: 28.6%; PFS2: 8.1 months). Although this is a pooled analysis of different trials with different products and the patient profile is different for CAR-Ts and BiAbs, both were effective therapies for TCR myeloma. However, in our experience, although the PFS was similar with the 2 approaches, CAR-T therapy resulted in better OS, mainly because of the efficacy of BiAbs as rescue therapy. Our results highlight the importance of treatment sequence in real-word experience.
Collapse
Affiliation(s)
- Borja Puertas
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Adolfo Fernández-Sánchez
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Elena Alejo
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Beatriz Rey-Búa
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Ana A. Martín-López
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Estefanía Pérez-López
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Miriam López-Parra
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Lucía López-Corral
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Norma C. Gutiérrez-Gutiérrez
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Ramón García-Sanz
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Noemi Puig
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - Verónica González-Calle
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| | - María-Victoria Mateos
- Hematology Department, University Hospital of Salamanca/ Instituto de Investigación Biomédica de Salamanca/Cancer Research Center IBMCC, Centro de Investigación Biomédica en Red del Cáncer, Salamanca, Spain
| |
Collapse
|
8
|
Rico LG, Salvia R, Ward MD, Petriz J. Bulk lysis procedures alter target cell population counts. Cytometry A 2024; 105:555-558. [PMID: 38722042 DOI: 10.1002/cyto.a.24848] [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: 02/19/2024] [Revised: 04/02/2024] [Accepted: 04/15/2024] [Indexed: 07/19/2024]
Abstract
To achieve high-sensitivity cell measurements (<1 in 105 cells) by flow cytometry (FCM), the minimum number of acquired cells must be considered and conventional immunophenotyping protocols fall short of these numbers. The bulk lysis (BL) assay is a standardized erythrocyte lysing approach that allows the analysis of the millions of cells required for high-sensitivity measurable residual disease (MRD) detection. However, this approach has been associated with significant cell loss, along with potential over or underestimates of rare cells when using this method. The aim of this study was to evaluate bulk lysis protocols and compare them with minimal sample perturbation (MSP) protocols, which are reported to better preserve the native cellular state and avoid significant cell loss due to washing steps. To achieve this purpose, we first generated an MRD model by spiking fresh peripheral blood with K562 cells, stably expressing EGFP, at known percentages of EGFP positive cells to leukocytes. Samples were then prepared with BL and MSP protocols and analyzed using FCM. For all percentages of K562 cells established and evaluated, a significant decrease of this population was detected in BL samples compared with MSP samples, even at low K562 cell percentages. Significant decreases for non-necrotic cells were also observed in BL samples relative to MSP samples. In conclusion, the evaluation of the potential effects of BL protocols in obtaining the final count is of great interest, especially for over- or under-estimation of target cells, as in the case of measurable residual disease. Since conventional flow cytometry or minimal sample perturbation assays fall short in obtaining the minimum numbers required to reach high sensitivity measurements, significant efforts may be needed to improve bulk lysis solution reagents.
Collapse
Affiliation(s)
- Laura G Rico
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona (Barcelona), Spain
| | - Roser Salvia
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona (Barcelona), Spain
| | | | - Jordi Petriz
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona (Barcelona), Spain
| |
Collapse
|
9
|
Verbeek MWC, Rodríguez BS, Sedek L, Laqua A, Buracchi C, Buysse M, Reiterová M, Oliveira E, Morf D, Oude Alink SR, Barrena S, Kohlscheen S, Nierkens S, Hofmans M, Fernandez P, de Costa ES, Mejstrikova E, Szczepanski T, Slota L, Brüggemann M, Gaipa G, Grigore G, van Dongen JJM, Orfao A, van der Velden VHJ. Minimal residual disease assessment in B-cell precursor acute lymphoblastic leukemia by semi-automated identification of normal hematopoietic cells: A EuroFlow study. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2024; 106:252-263. [PMID: 37740440 DOI: 10.1002/cyto.b.22143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 07/28/2023] [Accepted: 09/06/2023] [Indexed: 09/24/2023]
Abstract
Presence of minimal residual disease (MRD), detected by flow cytometry, is an important prognostic biomarker in the management of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). However, data-analysis remains mainly expert-dependent. In this study, we designed and validated an Automated Gating & Identification (AGI) tool for MRD analysis in BCP-ALL patients using the two tubes of the EuroFlow 8-color MRD panel. The accuracy, repeatability, and reproducibility of the AGI tool was validated in a multicenter study using bone marrow follow-up samples from 174 BCP-ALL patients, stained with the EuroFlow BCP-ALL MRD panel. In these patients, MRD was assessed both by manual analysis and by AGI tool supported analysis. Comparison of MRD levels obtained between both approaches showed a concordance rate of 83%, with comparable concordances between MRD tubes (tube 1, 2 or both), treatment received (chemotherapy versus targeted therapy) and flow cytometers (FACSCanto versus FACSLyric). After review of discordant cases by additional experts, the concordance increased to 97%. Furthermore, the AGI tool showed excellent intra-expert concordance (100%) and good inter-expert concordance (90%). In addition to MRD levels, also percentages of normal cell populations showed excellent concordance between manual and AGI tool analysis. We conclude that the AGI tool may facilitate MRD analysis using the EuroFlow BCP-ALL MRD protocol and will contribute to a more standardized and objective MRD assessment. However, appropriate training is required for the correct analysis of MRD data.
Collapse
Affiliation(s)
- Martijn W C Verbeek
- Laboratory for Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Beatriz Soriano Rodríguez
- Translational and Clinical Research program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Lukasz Sedek
- Department of Microbiology and Immunology, Medical University of Silesia in Katowice, Zabrze, Poland
- Department of Pediatric Hematology and Oncology, Zabrze, Medical University of Silesia in Katowice, Katowice, Poland
| | - Anna Laqua
- Department of Hematology, University of Schleswig-Holstein, Kiel, Germany
| | - Chiara Buracchi
- Centro Tettamanti, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Malicorne Buysse
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Michaela Reiterová
- CLIP-Department of Pediatric Hematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Elen Oliveira
- Pediatrics Institute IPPMG, Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Daniela Morf
- Institute for Laboratory Medicine, Aarau, Switzerland
| | - Sjoerd R Oude Alink
- Laboratory for Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Susana Barrena
- Translational and Clinical Research program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Saskia Kohlscheen
- Department of Hematology, University of Schleswig-Holstein, Kiel, Germany
| | - Stefan Nierkens
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Mattias Hofmans
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | | | - Elaine Sobral de Costa
- Pediatrics Institute IPPMG, Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ester Mejstrikova
- CLIP-Department of Pediatric Hematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Tomasz Szczepanski
- Department of Pediatric Hematology and Oncology, Zabrze, Medical University of Silesia in Katowice, Katowice, Poland
| | - Lukasz Slota
- Department of Pediatric Hematology and Oncology, Zabrze, Medical University of Silesia in Katowice, Katowice, Poland
| | - Monika Brüggemann
- Department of Hematology, University of Schleswig-Holstein, Kiel, Germany
| | - Giuseppe Gaipa
- Centro Tettamanti, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | | | - Jacques J M van Dongen
- Translational and Clinical Research program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
- Department of Immunology, Leiden University Medical Center (LUMC), The Netherlands
| | - Alberto Orfao
- Translational and Clinical Research program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Vincent H J van der Velden
- Laboratory for Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| |
Collapse
|
10
|
Szalat R, Anderson K, Munshi N. Role of minimal residual disease assessment in multiple myeloma. Haematologica 2024; 109:2049-2059. [PMID: 38328864 PMCID: PMC11215375 DOI: 10.3324/haematol.2023.284662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/31/2024] [Indexed: 02/09/2024] Open
Abstract
Multiple myeloma (MM) is a hematologic malignancy characterized by clonal proliferation of plasma cells. MM is a heterogeneous disease, featured by various molecular subtypes with different outcomes. With the advent of very efficient therapies including monoclonal antibodies, bispecific T-cell engagers and chimeric antigen receptor T cells (CAR T cells), most MM patients now have a prolonged survival. However, the disease remains incurable, and a subgroup of high-risk patients continue to have early relapse and short survival. Novel and highly sensitive methods have been developed allowing the detection of minimal residual disease (MRD) during or after treatment. Achievement of MRD negativity is a strong and independent prognostic factor in both prospective randomized clinical trials and in the real-world setting. While MRD assessment is now a validated endpoint in clinical trials, its incorporation in clinical practice is not yet established and its potential impact on guiding therapy remains under in-depth evaluation. Here we discuss the different methods available for MRD assessment and the role of MRD evaluation in MM management.
Collapse
Affiliation(s)
- Raphael Szalat
- Section of Hematology and Medical Oncology, Boston University School of Medicine and Boston Medical Center, Boston, MA.
| | - Kenneth Anderson
- Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Nikhil Munshi
- Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA
| |
Collapse
|
11
|
Bazinet A, Wang A, Li X, Jia F, Mo H, Wang W, Wang SA. Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence-assisted workflow. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2024; 106:264-271. [PMID: 36824056 DOI: 10.1002/cyto.b.22116] [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: 08/26/2022] [Revised: 01/18/2023] [Accepted: 02/13/2023] [Indexed: 02/25/2023]
Abstract
Detection of measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL) is an important prognostic marker. The most common CLL MRD method in current use is multiparameter flow cytometry, but availability is limited by the need for expert manual analysis. Automated analysis has the potential to expand access to CLL MRD testing. We evaluated the performance of an artificial intelligence (AI)-assisted multiparameter flow cytometry (MFC) workflow for CLL MRD. We randomly selected 113 CLL MRD FCS files and divided them into training and validation sets. The training set (n = 41) was gated by expert manual analysis and used to train the AI model. We then compared the validation set (n = 72) MRD results obtained by the AI-assisted analysis versus those by expert manual analysis using the Pearson correlation coefficient and Bland-Altman plot method. In the validation set, the AI-assisted analysis correctly categorized cases as MRD-negative versus MRD-positive in 96% of cases. When comparing the AI-assisted analysis versus the expert manual analysis, the Pearson r was 0.8650, mean bias was 0.2237 log10 units, and the 95% limit of agreement (LOA) was ±1.0282 log10 units. The AI-assisted analysis performed sub-optimally in atypical immunophenotype CLL and in cases lacking residual normal B cells. When excluding these outlier cases, the mean bias improved to 0.0680 log10 units and the 95% LOA to ±0.2926 log10 units. An automated AI-assisted workflow allows for the quantification of MRD in CLL with typical immunophenotype. Further work is required to improve performance in atypical immunophenotype CLL.
Collapse
Affiliation(s)
- Alexandre Bazinet
- Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, Texas, United States
| | - Alan Wang
- DeepCyto LLC, West Linn, Oregon, United States
| | - Xinmei Li
- DeepCyto LLC, West Linn, Oregon, United States
| | - Fuli Jia
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States
| | - Huan Mo
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States
| | - Wei Wang
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States
| | - Sa A Wang
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States
| |
Collapse
|
12
|
Hwang SM, Oh I, Kwon SR, Lee JS, Seong MW. Comparison of Measurable Residual Disease in Pediatric B-Lymphoblastic Leukemia Using Multiparametric Flow Cytometry and Next-Generation Sequencing. Ann Lab Med 2024; 44:354-358. [PMID: 38237930 PMCID: PMC10961625 DOI: 10.3343/alm.2023.0412] [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: 10/17/2023] [Revised: 11/17/2023] [Accepted: 01/06/2024] [Indexed: 03/26/2024] Open
Abstract
Measurable residual disease (MRD) testing, a standard procedure in B-lymphoblastic leukemia (B-ALL) diagnostics, is assessed using multiparametric flow cytometry (MFC) and next-generation sequencing (NGS) analysis of immunoglobulin gene rearrangements. We evaluated the concordance between eight-color, two-tube MFC-MRD the LymphoTrack NGS-MRD assays using 139 follow-up samples from 54 pediatric patients with B-ALL. We also assessed the effect of hemodilution in MFC-MRD assays. The MRD-concordance rate was 79.9% (N=111), with 25 (18.0%) and 3 (2.2%) samples testing positive only by NGS-MRD (MFC-NGS+MRD) and MFC-MRD (MFC+NGS-MRD), respectively. We found a significant correlation in MRD values from total nucleated cells between the two methods (r=0.736 [0.647-0.806], P<0.001). The median MRD value of MFC-NGS+MRD samples was estimated to be 0.0012% (0.0001%-0.0263%) using the NGS-MRD assays. Notably, 14.3% of MFC-NGS+MRD samples showed NGS-MRD values below the limit of detection in the MFC-MRD assays. The percentages of hematogones detected in MFC-MRD assays significantly differed between the discordant and concordant cases (P<0.001). MFC and NGS-MRD assays showed relatively high concordance and correlation in MRD assessment, whereas the NGS-MRD assay detected MRD more frequently than the MFC-MRD assay in pediatric B-ALL. Evaluating the hematogone percentages can aid in assessing the impact of sample hemodilution.
Collapse
Affiliation(s)
- Sang Mee Hwang
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Inseong Oh
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seok Ryun Kwon
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jee-Soo Lee
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Moon-Woo Seong
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| |
Collapse
|
13
|
Kelleher P, Greathead L, Whitby L, Brando B, Barnett D, Bloxham D, deTute R, Dunlop A, Farren T, Francis S, Payne D, Scott S, Snowden JA, Sorour Y, Stansfield E, Virgo P, Whitby A. European flow cytometry quality assurance guidelines for the diagnosis of primary immune deficiencies and assessment of immune reconstitution following B cell depletion therapies and transplantation. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2024. [PMID: 38940298 DOI: 10.1002/cyto.b.22195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 06/06/2024] [Accepted: 06/17/2024] [Indexed: 06/29/2024]
Abstract
Over the last 15 years activity of diagnostic flow cytometry services have evolved from monitoring of CD4 T cell subsets in HIV-1 infection to screening for primary and secondary immune deficiencies syndromes and assessment of immune constitution following B cell depleting therapy and transplantation. Changes in laboratory activity in high income countries have been driven by initiation of anti-retroviral therapy (ART) in HIV-1 regardless of CD4 T cell counts, increasing recognition of primary immune deficiency syndromes and the wider application of B cell depleting therapy and transplantation in clinical practice. Laboratories should use their experience in standardization and quality assurance of CD4 T cell counting in HIV-1 infection to provide immune monitoring services to patients with primary and secondary immune deficiencies. Assessment of immune reconstitution post B cell depleting agents and transplantation can also draw on the expertise acquired by flow cytometry laboratories for detection of CD34 stem cell and assessment of MRD in hematological malignancies. This guideline provides recommendations for clinical laboratories on providing flow cytometry services in screening for immune deficiencies and its emerging role immune reconstitution after B cell targeting therapies and transplantation.
Collapse
Affiliation(s)
- Peter Kelleher
- Immunology of Infection, Department of Infectious Disease, Imperial College London, London, UK
- Department of Infection and Immunity Sciences, North West London Pathology, London, UK
| | - Louise Greathead
- Department of Infection and Immunity Sciences, North West London Pathology, London, UK
| | - Liam Whitby
- UK NEQAS for Leucocyte Immunophenotyping, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Bruno Brando
- Hematology Laboratory and Transfusion Center, New Hospital of Legnano: Ospedale Nuovo di Legnano, Milan, Italy
| | - David Barnett
- UK NEQAS for Leucocyte Immunophenotyping, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - David Bloxham
- Haematopathology and Oncology Diagnostic Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Ruth deTute
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Alan Dunlop
- Department of Haemato-Oncology, Royal Marsden Hospital, London, UK
| | - Timothy Farren
- Division of Haemato-Oncology, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
- Pathology Group, Blizard Institute, Queen Mary University of London, London, UK
| | - Sebastian Francis
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Daniel Payne
- Tees Valley Pathology Service, James Cook University Hospital, Middlesbrough, UK
| | - Stuart Scott
- UK NEQAS for Leucocyte Immunophenotyping, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - John A Snowden
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Youssef Sorour
- Haematology, Doncaster and Bassetlaw Teaching Hospitals NHS Trust, Doncaster, UK
| | - Emma Stansfield
- Greater Manchester Immunology Service, Manchester University NHS Foundation Trust, Manchester, UK
| | - Paul Virgo
- Department of Immunology and Immunogenetics, North Bristol NHS Trust, Bristol, UK
| | - Alison Whitby
- UK NEQAS for Leucocyte Immunophenotyping, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| |
Collapse
|
14
|
Morè S, Corvatta L, Manieri VM, Morsia E, Offidani M. The Challenging Approach to Multiple Myeloma: From Disease Diagnosis and Monitoring to Complications Management. Cancers (Basel) 2024; 16:2263. [PMID: 38927968 PMCID: PMC11202048 DOI: 10.3390/cancers16122263] [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: 05/16/2024] [Revised: 06/12/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
The outcome of multiple myeloma (MM) has significantly improved in the last few decades due to several factors such as new biological discoveries allowing to better stratify disease risk, development of more effective therapies and better management of side effects related to them. However, handling all these aspects requires an interdisciplinary approach involving multiple knowledge and collaboration of different specialists. The hematologist, faced with a patient with MM, must not only choose a treatment according to patient and disease characteristics but must also know when therapy needs to be started and how to monitor it during and after treatment. Moreover, he must deal not only with organ issues related to MM such as bone disease, renal failure or neurological disease but also with adverse events, often very serious, related to novel therapies, particularly new generation immunotherapies such as CAR T cell therapy and bispecific antibodies. In this review, we provide an overview on the newer MM diagnostic and monitoring strategies and on the main side effects of MM therapies, focusing on adverse events occurring during treatment with CAR T cells and bispecific antibodies.
Collapse
Affiliation(s)
- Sonia Morè
- Clinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy; (S.M.); (V.M.M.); (E.M.)
| | - Laura Corvatta
- U.O.C. Medicina, Ospedale Profili, 60044 Fabriano, Italy;
| | - Valentina Maria Manieri
- Clinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy; (S.M.); (V.M.M.); (E.M.)
| | - Erika Morsia
- Clinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy; (S.M.); (V.M.M.); (E.M.)
| | - Massimo Offidani
- Clinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy; (S.M.); (V.M.M.); (E.M.)
| |
Collapse
|
15
|
Zhu LY, Hu QL, Zhang L, Li ZJ. The role of minimal residual disease and serum free light chain ratio in the management of multiple myeloma. Discov Oncol 2024; 15:229. [PMID: 38877340 PMCID: PMC11178694 DOI: 10.1007/s12672-024-01090-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 06/09/2024] [Indexed: 06/16/2024] Open
Abstract
Multiple myeloma (MM) denotes a cancerous growth characterized by abnormal proliferation of plasma cells. Growing evidence suggests that the complexity in addressing MM lies in the presence of minimal residual disease (MRD) within the body. MRD assessment is becoming increasingly important for risk assessment in patients with MM. Similarly, the levels of serum free protein light chain and their ratio play a crucial role in assessing the disease burden and changes in MM. In this paper, we review and explore the utilization of MRD and serum free light chain ratio in the treatment of MM, delving into their respective characteristics, advantages, disadvantages, and their interrelation.
Collapse
Affiliation(s)
- Long-Ying Zhu
- School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, People's Republic of China
- Department of Clinical Laboratory, First People's Hospital of Linping District, Hangzhou, 311100, Zhejiang, People's Republic of China
| | - Qi-Lei Hu
- Department of Clinical Laboratory, First People's Hospital of Linping District, Hangzhou, 311100, Zhejiang, People's Republic of China
| | - Liang Zhang
- Department of Clinical Laboratory, First People's Hospital of Linping District, Hangzhou, 311100, Zhejiang, People's Republic of China
| | - Zuo-Jie Li
- Department of Clinical Laboratory, The People's Hospital of Cangnan Zhejiang, No. 2288 Yucang Road, Cangnan County, Wenzhou, Zhejiang, 325800, People's Republic of China.
| |
Collapse
|
16
|
Kostopoulos IV, Ntanasis-Stathopoulos I, Rousakis P, Malandrakis P, Panteli C, Eleutherakis-Papaiakovou E, Angelis N, Spiliopoulou V, Syrigou RE, Bakouros P, Dimitrakopoulou G, Fotiou D, Migkou M, Kanellias N, Paschalidis N, Gavriatopoulou M, Kastritis E, Dimopoulos MA, Tsitsilonis OE, Terpos E. Low circulating tumor cell levels correlate with favorable outcomes and distinct biological features in multiple myeloma. Am J Hematol 2024. [PMID: 38860642 DOI: 10.1002/ajh.27414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/21/2024] [Accepted: 05/30/2024] [Indexed: 06/12/2024]
Abstract
There is growing interest in multiple myeloma (MM) circulating tumor cells (CTCs), but their rareness in peripheral blood (PB) and inconsistency in cutoffs question their clinical utility. Herein, we applied next-generation flow cytometry in 550 bone marrow (BM) and matched PB samples to define an optimal CTC cutoff for both transplant-eligible and transplant-ineligible newly diagnosed MM (NDMM) patients. Deep phenotyping was performed to investigate unique microenvironmental features associated with CTC dissemination. CTCs were detected in 90% of patients (median 0.01%; range: 0.0002%-12.6%) and increased levels associated with adverse features. Correlations were observed between high CTC percentages and a diffused MRI pattern, a distinct BM composition characterized by altered B-cell differentiation together with an expansion of effector cells and tumor-associated macrophages, as well as a greater phenotypic dissimilarity between BM and PB clonal cells. Progression-free survival (PFS) and overall survival (OS) gradually worsened with each logarithmic increment of CTCs. Conversely, NDMM patients without CTCs showed unprecedented outcomes, with 5-year PFS and OS rates of 83% and 97%, respectively. A cutoff of 0.02% CTCs was independent of the ISS, LDH, and cytogenetics in a multivariate analysis of risk factors for PFS. The 0.02% CTC cutoff synergized with the MGUS-like phenotype and the R-ISS for improving the risk stratification systems. MRD negativity was less frequent if CTCs were ≥0.02% at diagnosis, but whenever achieved, the poor prognosis of these patients was abrogated. This study shows the clinical utility of CTC assessment in MM and provides evidence toward a consensus cutoff for risk stratification.
Collapse
Affiliation(s)
- Ioannis V Kostopoulos
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Ntanasis-Stathopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Pantelis Rousakis
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Malandrakis
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Chrysanthi Panteli
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Nikolaos Angelis
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Vasiliki Spiliopoulou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Rodanthi-Eleni Syrigou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Bakouros
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgia Dimitrakopoulou
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Despina Fotiou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Magdalini Migkou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Kanellias
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Paschalidis
- Mass Cytometry-CyTOF Laboratory, Center for Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Maria Gavriatopoulou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstathios Kastritis
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Ourania E Tsitsilonis
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| |
Collapse
|
17
|
Meseha M, Hoffman J, Kazandjian D, Landgren O, Diamond B. Minimal Residual Disease-Adapted Therapy in Multiple Myeloma: Current Evidence and Opinions. Curr Oncol Rep 2024; 26:679-690. [PMID: 38676789 PMCID: PMC11169024 DOI: 10.1007/s11912-024-01537-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/13/2024] [Indexed: 04/29/2024]
Abstract
PURPOSE OF REVIEW Multiple myeloma (MM) is a biologically heterogeneous malignancy with relatively uniform treatment paradigms. This review aims to assess the growing role of Minimal Residual Disease (MRD) assessment in facilitating response-adapted therapeutic decision making to individualize therapy in MM. RECENT FINDINGS MRD has been repeatedly demonstrated to provide strong prognostic information, superseding traditional IMWG response criteria. The use of MRD to modulate therapy remains controversial. Here, we review the existing landscape of MRD-adapted trial designs in both induction/consolidation and maintenance settings, including recent data from influential studies and retrospective analyses. We navigate existing data, leverage the increased resolution of longitudinal MRD assessments, and comment on trials in progress to explain our current utilization of MRD in the clinic. MRD transcends traditional response assessments by providing a window into disease-treatment interaction over time. As a strong patient-level surrogate, MRD has limited current use in individualizing treatment, but is poised to comprehensively shape treatment strategies at many key points in a patient's MM course.
Collapse
Affiliation(s)
- Mina Meseha
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA
| | - James Hoffman
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA
| | - Dickran Kazandjian
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA
| | - Ola Landgren
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA
| | - Benjamin Diamond
- Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, 1120 NW 14th Street, Clinical Research Building, Miami, FL, 33136, USA.
| |
Collapse
|
18
|
Sathya P, Kayal S, Hamide A, Kar R. Immunophenotypic Profile and Measurable Residual Disease Monitoring in Multiple Myeloma: A Prospective Study From a Tertiary Care Centre in Southern India. Cureus 2024; 16:e61504. [PMID: 38952609 PMCID: PMC11216634 DOI: 10.7759/cureus.61504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/01/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND Multiple myeloma (MM) immunophenotyping (IPT) and measurable residual disease (MRD) monitoring by flow cytometry is a surrogate for progression-free survival and overall survival in clinical trials. However, plasma cell enumeration is challenging owing to morphological discrepancies and plasma cell (PC) loss during the sample processing. METHODS In (n=87) newly diagnosed MM patients, we evaluated the immunophenotype of PCs at baseline, and for a subset of 35 patients MRD at post-induction was quantified and analyzed for association with outcomes and survival. The software Statistical Package for Social Sciences (SPSS), version 16.0 (SPSS Inc., Chicago, IL, USA) was used for all the statistical analysis. RESULTS Immunophenotyping showed strong positive expression of CD56 (83%), CD200 (94%), CD38 (92%), and CD117 (91%) and negative/weak expression of CD19 (83%), CD45 (89%), CD27 (74%), and CD81 (90%) respectively. Negative/weak expression of CD19 was significantly associated with age ≥56 years (p<0.048), with lower albumin (<3.4g/dL, p<0.001). Strong positive CD56 expression was significantly associated with the presence of M-protein (p<0.03). Strong positive CD117 expression was significantly associated with lower albumin (p<0.02). Strong positive CD200 expression was significantly associated with a good response (p<0.02). The median (IQR) value of bone marrow (BM)-MRD% was 0.005 (0.002-0.034). We found that there was no significant difference in the correlation, association, and survival outcomes with MRD%. CONCLUSION This study sheds light on the utility of IPT as an invaluable diagnostic tool in disease management. The findings of this study could be important when it comes to modifying the criteria for high-risk diseases and implementing a risk-adapted first therapy in clinical practice.
Collapse
Affiliation(s)
- Pandurangan Sathya
- Pathology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, IND
| | - Smita Kayal
- Medical Oncology, Regional Cancer Centre, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, IND
| | - Abdoul Hamide
- Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, IND
| | - Rakhee Kar
- Pathology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, IND
| |
Collapse
|
19
|
Del Giudice I, Della Starza I, De Falco F, Gaidano G, Sportoletti P. Monitoring Response and Resistance to Treatment in Chronic Lymphocytic Leukemia. Cancers (Basel) 2024; 16:2049. [PMID: 38893168 PMCID: PMC11171231 DOI: 10.3390/cancers16112049] [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: 03/30/2024] [Revised: 05/09/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
The recent evolution in chronic lymphocytic leukemia (CLL) targeted therapies led to a progressive change in the way clinicians manage the goals of treatment and evaluate the response to treatment in respect to the paradigm of the chemoimmunotherapy era. Continuous therapies with BTK inhibitors achieve prolonged and sustained control of the disease. On the other hand, venetoclax and anti-CD20 monoclonal antibodies or, more recently, ibrutinib plus venetoclax combinations, given for a fixed duration, achieve undetectable measurable residual disease (uMRD) in the vast majority of patients. On these grounds, a time-limited MRD-driven strategy, a previously unexplored scenario in CLL, is being attempted. On the other side of the spectrum, novel genetic and non-genetic mechanisms of resistance to targeted treatments are emerging. Here we review the response assessment criteria, the evolution and clinical application of MRD analysis and the mechanisms of resistance according to the novel treatment strategies within clinical trials. The extent to which this novel evidence will translate in the real-life management of CLL patients remains an open issue to be addressed.
Collapse
Affiliation(s)
- Ilaria Del Giudice
- Hematology, Department of Translational and Precision Medicine, Sapienza University, 00161 Rome, Italy;
| | - Irene Della Starza
- Hematology, Department of Translational and Precision Medicine, Sapienza University, 00161 Rome, Italy;
- AIL Roma, ODV, 00161 Rome, Italy
| | - Filomena De Falco
- Department of Medicine and Surgery, Institute of Hematology and Center for Hemato-Oncological Research, University of Perugia, 06129 Perugia, Italy;
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy;
| | - Paolo Sportoletti
- Department of Medicine and Surgery, Institute of Hematology and Center for Hemato-Oncological Research, University of Perugia, 06129 Perugia, Italy;
| |
Collapse
|
20
|
Ishii A, Tsukamoto S, Mimura N, Miyamoto-Nagai Y, Isshiki Y, Matsui S, Nakao S, Shibamiya A, Hino Y, Kayamori K, Oshima-Hasegawa N, Muto T, Takeda Y, Suichi T, Misawa S, Ohwada C, Yokote K, Kuwabara S, Nakaseko C, Takamatsu H, Sakaida E. Detection of clonal plasma cells in POEMS syndrome using multiparameter flow cytometry. Sci Rep 2024; 14:10362. [PMID: 38710832 DOI: 10.1038/s41598-024-61034-1] [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: 04/06/2023] [Accepted: 04/30/2024] [Indexed: 05/08/2024] Open
Abstract
POEMS syndrome (polyneuropathy, organomegaly, endocrinopathy, monoclonal protein [M-protein], and skin changes) is a rare systemic disorder characterized by various symptoms caused by underlying plasma cell (PC) dyscrasia. Detection of monoclonal PCs is mandatory for the diagnosis of POEMS syndrome; however, the usefulness of EuroFlow-based next-generation flow cytometry (EuroFlow-NGF) in POEMS syndrome for detecting monoclonal PCs in bone marrow (BM) and the gating strategy suitable for flow cytometry study of POEMS syndrome remain unknown. We employed EuroFlow-NGF-based single-tube eight-color multiparameter flow cytometry (MM-flow) and established a new gating strategy (POEMS-flow) to detect the monoclonal PCs in POEMS syndrome, gating CD38 broadly from dim to bright and CD45 narrowly from negative to dim compared to MM-flow. MM-flow detected monoclonal PCs in 9/25 (36.0%) cases, including 2/2 immunofixation electrophoresis (IFE)-negative cases (100%). However, POEMS-flow detected monoclonal PCs in 18/25 cases (72.0%), including 2/2 IFE-negative cases (100%). POEMS-flow detected monoclonal PCs with immunophenotypes of CD19- in 17/18 (94.4%). In six cases where post-treatment samples were available, the size of the clones was significantly reduced after the treatment (P = 0.031). POEMS-flow can enhance the identification rate of monoclonal PCs in POEMS syndrome and become a valuable tool for the diagnosis of POEMS syndrome.
Collapse
Affiliation(s)
- Arata Ishii
- Department of Hematology, Chiba University Hospital, Chiba, Japan
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Shokichi Tsukamoto
- Department of Hematology, Chiba University Hospital, Chiba, Japan.
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Chiba, Japan.
| | - Naoya Mimura
- Department of Hematology, Chiba University Hospital, Chiba, Japan
- Department of Transfusion Medicine and Cell Therapy, Chiba University Hospital, Chiba, Japan
| | | | - Yusuke Isshiki
- Department of Hematology, Chiba University Hospital, Chiba, Japan
| | | | - Sanshiro Nakao
- Department of Hematology, Chiba University Hospital, Chiba, Japan
| | - Asuka Shibamiya
- Department of Hematology, Chiba University Hospital, Chiba, Japan
| | - Yutaro Hino
- Department of Hematology, Chiba University Hospital, Chiba, Japan
| | - Kensuke Kayamori
- Department of Hematology, Chiba University Hospital, Chiba, Japan
| | | | - Tomoya Muto
- Department of Hematology, Chiba University Hospital, Chiba, Japan
| | - Yusuke Takeda
- Department of Hematology, Chiba University Hospital, Chiba, Japan
| | - Tomoki Suichi
- Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Sonoko Misawa
- Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Chikako Ohwada
- Department of Hematology, Chiba University Hospital, Chiba, Japan
- Department of Hematology, International University of Health and Welfare, Narita, Japan
| | - Koutaro Yokote
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Chiaki Nakaseko
- Department of Hematology, International University of Health and Welfare, Narita, Japan
| | - Hiroyuki Takamatsu
- Department of Hematology, Institute of Medical, Pharmaceutical and Health Sciences, Faculty of Medicine, Kanazawa University, Kanazawa, Japan
| | - Emiko Sakaida
- Department of Hematology, Chiba University Hospital, Chiba, Japan
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Chiba, Japan
- Department of Transfusion Medicine and Cell Therapy, Chiba University Hospital, Chiba, Japan
| |
Collapse
|
21
|
Venglar O, Kapustova V, Anilkumar Sithara A, Zihala D, Muronova L, Sevcikova T, Vrana J, Vdovin A, Radocha J, Krhovska P, Hrdinka M, Turjap M, Popkova T, Chyra Z, Broskevicova L, Simicek M, Koristek Z, Hajek R, Jelinek T. Insight into the mechanism of CD34 + cell mobilisation impairment in multiple myeloma patients treated with anti-CD38 therapy. Br J Haematol 2024; 204:1439-1449. [PMID: 37807708 DOI: 10.1111/bjh.19141] [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: 08/06/2023] [Revised: 09/22/2023] [Accepted: 09/25/2023] [Indexed: 10/10/2023]
Abstract
Induction therapy followed by CD34+ cell mobilisation and autologous transplantation represents standard of care for multiple myeloma (MM). However, the anti-CD38 monoclonal antibodies daratumumab and isatuximab have been associated with mobilisation impairment, yet the mechanism remains unclear. In this study, we investigated the effect of three different regimens (dara-VCd, isa-KRd and VTd) on CD34+ cells using flow cytometry and transcriptomics. Decreased CD34+ cell peak concentration and yields, longer collection and delayed engraftment were reproduced after dara-VCd/isa-KRd versus VTd induction in 34 patients in total. Using flow cytometry, we detected major changes in the proportion of apheresis product and bone marrow CD34+ subsets in patients treated with regimens containing anti-CD38 therapy; however, without any decrease in CD38high B-lymphoid progenitors in both materials. RNA-seq of mobilised CD34+ cells from 21 patients showed that adhesion genes are overexpressed in CD34+ cells after dara-VCd/isa-KRd and JCAD, NRP2, MDK, ITGA3 and CLEC3B were identified as potential target genes. Finally, direct in vitro effect of isatuximab in upregulating JCAD and CLEC3B was confirmed by quantitative PCR. These findings suggest that upregulated adhesion-related interactions, rather than killing of CD34+ cells by effector mechanisms, could be leading causes of decreased mobilisation efficacy in MM patients treated with anti-CD38 therapy.
Collapse
Affiliation(s)
- Ondrej Venglar
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Veronika Kapustova
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Anjana Anilkumar Sithara
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - David Zihala
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Ludmila Muronova
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Tereza Sevcikova
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Jan Vrana
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Alexander Vdovin
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Jakub Radocha
- 4th Department of Internal Medicine - Hematology, Charles University and University Hospital in Hradec Kralove, Hradec Kralove, Czech Republic
| | - Petra Krhovska
- Department of Hematooncology, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Matous Hrdinka
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Michal Turjap
- Clinical Trials Section of Pharmacy, University Hospital Ostrava, Ostrava, Czech Republic
| | - Tereza Popkova
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Zuzana Chyra
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Lucie Broskevicova
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Michal Simicek
- Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Zdenek Koristek
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Roman Hajek
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Tomas Jelinek
- Department of Hematooncology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| |
Collapse
|
22
|
Hagen P, Norton J, Tsai S, Campo L, Lee M, Gomez K, Stiff P. Busulfan, melphalan and carfilzomib high-dose chemotherapy and autologous haematopoietic stem cell transplantation in multiple myeloma. Br J Haematol 2024; 204:1422-1428. [PMID: 38176404 DOI: 10.1111/bjh.19281] [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: 10/28/2023] [Revised: 12/15/2023] [Accepted: 12/19/2023] [Indexed: 01/06/2024]
Abstract
The standard of care for fit, newly diagnosed multiple myeloma patients includes induction therapy followed by consolidative high-dose chemotherapy with melphalan and autologous stem cell transplant (AHSCT). Intensified preparative regimens, such as busulfan and melphalan (BuMel), have shown promise to lengthen progression-free survival (PFS). We previously reported that the addition of bortezomib to BuMel improved PFS compared to melphalan alone in CIBMTR-matched controls. We now integrate the second-generation protease inhibitor, carfilzomib, before and after BuMel (BuMelCar) in a phase I/II trial with carfilzomib. Patients with NDMM, relapsed/refractory MM (RRMM) and those failing prior AHSCT were eligible. Primary end-points were safety and tolerability. Secondary end-points included minimal residual disease negativity rates, PFS and OS. The study enrolled 19 patients. 73% were high risk either due to R-ISS III status, adverse genetics or relapsed after prior AHSCT. The maximum tolerated dose (MTD) of carfilzomib was determined to be 36 mg/m2. Noted grade 3 toxicities were febrile neutropenia (79%), mucositis (21%) and diarrhoea (16%). The 2-year PFS for the whole cohort and MTD was 89% and 100% respectively. 80% of all patients and 82% of patients in the MTD cohort achieved MRD negativity. Further studies regarding this regimen are planned.
Collapse
Affiliation(s)
- Patrick Hagen
- Department of Medicine, Division of Hematology and Oncology, Cardinal Bernardin Cancer Center, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA
| | - Joseph Norton
- Department of Medicine, Division of Hematology and Oncology, Cardinal Bernardin Cancer Center, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA
| | - Stephanie Tsai
- Department of Medicine, Division of Hematology and Oncology, Cardinal Bernardin Cancer Center, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA
| | - Loredana Campo
- Department of Medicine, Division of Hematology and Oncology, Cardinal Bernardin Cancer Center, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA
| | - Mary Lee
- Department of Medicine, Division of Hematology and Oncology, Cardinal Bernardin Cancer Center, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA
| | - Kayeromi Gomez
- Clinical Research Office, Center for Translational Research and Education, Loyola University Chicago, Maywood, Illinois, USA
| | - Patrick Stiff
- Department of Medicine, Division of Hematology and Oncology, Cardinal Bernardin Cancer Center, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA
| |
Collapse
|
23
|
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.
Collapse
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
| |
Collapse
|
24
|
Tembhare PR, Sriram H, Khanka T, Gawai S, Bagal B, Ghogale SG, Deshpande N, Girase K, Patil J, Hasan SK, Shetty D, Ghosh K, Chatterjee G, Rajpal S, Patkar NV, Jain H, Punatar S, Gokarn A, Nayak L, Mirgh S, Jindal N, Sengar M, Khattry N, Subramanian PG, Gujral S. Circulating tumor plasma cells and peripheral blood measurable residual disease assessment in multiple myeloma patients not planned for upfront transplant. Hemasphere 2024; 8:e63. [PMID: 38566804 PMCID: PMC10983024 DOI: 10.1002/hem3.63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/16/2024] [Accepted: 03/01/2024] [Indexed: 04/04/2024] Open
Abstract
Circulating tumor plasma cells (CTPCs) provide a noninvasive alternative for measuring tumor burden in newly diagnosed multiple myeloma (NDMM). Moreover, measurable residual disease (MRD) assessment in peripheral blood (PBMRD) can provide an ideal alternative to bone marrow MRD, which is limited by its painful nature and technical challenges. However, the clinical significance of PBMRD in NDMM still remains uncertain. Additionally, data on CTPC in NDMM patients not treated with transplant are scarce. We prospectively studied CTPC and PBMRD in 141 NDMM patients using highly sensitive multicolor flow cytometry (HS-MFC). PBMRD was monitored at the end of three cycles (PBMRD1) and six cycles (PBMRD2) of chemotherapy in patients with detectable baseline CTPC. Patients received bortezomib-based triplet therapy and were not planned for an upfront transplant. Among baseline risk factors, CTPC ≥ 0.01% was independently associated with poor progression-free survival (PFS) (hazard ratio [HR] = 2.77; p = 0.0047) and overall survival (OS) (HR = 2.9; p = 0.023) on multivariate analysis. In patients with detectable baseline CTPC, undetectable PBMRD at both subsequent time points was associated with longer PFS (HR = 0.46; p = 0.0037), whereas detectable PBMRD at any time point was associated with short OS (HR = 3.25; p = 0.004). Undetectable combined PBMRD (PBMRD1 and PBMRD2) outperformed the serum-immunofixation-based response. On multivariate analysis, detectable PBMRD at any time point was independently associated with poor PFS (HR = 2.0; p = 0.025) and OS (HR = 3.97; p = 0.013). Thus, our findings showed that CTPC and PBMRD assessment using HS-MFC provides a robust, noninvasive biomarker for NDMM patients not planned for an upfront transplant. Sequential PBMRD monitoring has great potential to improve the impact of the existing risk stratification and response assessment models.
Collapse
Affiliation(s)
- Prashant R. Tembhare
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Harshini Sriram
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Twinkle Khanka
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Sanghamitra Gawai
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Bhausaheb Bagal
- Department of Medical Oncology, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
| | - Sitaram G. Ghogale
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Nilesh Deshpande
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Karishma Girase
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Jagruti Patil
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Syed Khaizer Hasan
- Hasan Laboratory, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Dhanalaxmi Shetty
- Department of Cancer Cytogenetics, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Kinjalka Ghosh
- Department of Biochemistry, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
| | - Gaurav Chatterjee
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Sweta Rajpal
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Nikhil V. Patkar
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Hasmukh Jain
- Department of Medical Oncology, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
| | - Sachin Punatar
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Anant Gokarn
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Lingaraj Nayak
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Sumeet Mirgh
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Nishant Jindal
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Manju Sengar
- Department of Medical Oncology, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
| | - Navin Khattry
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Papagudi G. Subramanian
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Sumeet Gujral
- Department of Pathology, Tata Memorial Hospital, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
| |
Collapse
|
25
|
Zhou M, Chen Y, Gong Y, Zhu M, Cen J, Pan J, Yan L, Shang J, Jin S, Shi X, Yao W, Yan S, Wu D, Chen S, Fu C, Yao L. Evaluation of next-generation sequencing versus next-generation flow cytometry for minimal-residual-disease detection in Chinese patients with multiple myeloma. Discov Oncol 2024; 15:78. [PMID: 38502423 PMCID: PMC10951185 DOI: 10.1007/s12672-024-00938-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/15/2024] [Indexed: 03/21/2024] Open
Abstract
PURPOSE To evaluate the efficacy of next-generation sequencing (NGS) in minimal-residual-disease (MRD) monitoring in Chinese patients with multiple myeloma (MM). METHODS This study analyzed 60 Chinese MM patients. During MRD monitoring in these patients' post-therapy, clonal immunoglobulin heavy chain (IGH) rearrangements were detected via NGS using LymphoTrack assays. MRD monitoring was performed using NGS or next-generation flow cytometry (NGF), and the results were compared. Additionally, the sensitivity and reproducibility of the NGS method were assessed. RESULTS The MRD detection range of the NGS method was 10-6-10-1, which suggested good linearity, with a Pearson correlation coefficient of 0.985 and a limit of detection of 10-6. Intra- and inter-assay reproducibility analyses showed that NGS exhibited 100% reproducibility with low variability in clonal cells. At diagnosis, unique clones were found in 42 patients (70.0%) with clonal IGH rearrangements, which were used as clonality markers for MRD monitoring post-therapy. Comparison of NGS and NGF for MRD monitoring showed 79.1% concordance. No samples that tested MRD-positive via NGF were found negative via NGS, indicating the higher sensitivity of NGS. MRD could be detected using NGS in 6 of 7 samples before autologous hematopoietic stem-cell transplantation, and 5 of them tested negative post-transplantation. In contrast, the NGF method could detect MRD in only 1 sample pre-transplantation. CONCLUSION Compared with NGF, NGS exhibits higher sensitivity and reproducibility in MRD detection and can be an effective strategy for MRD monitoring in Chinese MM patients.
Collapse
Affiliation(s)
- Mo Zhou
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
- Hematology Department, Yancheng Third People's Hospital, Yancheng, People's Republic of China
| | - Yan Chen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Yanlei Gong
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Mingqing Zhu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Jiannong Cen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Jinlan Pan
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Lingzhi Yan
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Jingjing Shang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Song Jin
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Xiaolan Shi
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Weiqin Yao
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Shuang Yan
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Depei Wu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, People's Republic of China
| | - Suning Chen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, People's Republic of China
| | - Chengcheng Fu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China
| | - Li Yao
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, 188 Shizi Street, Suzhou, 215006, People's Republic of China.
| |
Collapse
|
26
|
Fan H, Wang B, Shi L, Pan N, Yan W, Xu J, Gong L, Li L, Liu Y, Du C, Cui J, Zhu G, Deng S, Sui W, Xu Y, Yi S, Hao M, Zou D, Chen X, Qiu L, An G. Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM). Clin Cancer Res 2024; 30:1131-1142. [PMID: 38170583 PMCID: PMC10940853 DOI: 10.1158/1078-0432.ccr-23-2767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/10/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024]
Abstract
PURPOSE We investigated both the clinical utilities and the prognostic impacts of the clonotypic peptide mass spectrometry (MS)-EasyM, a blood-based minimal residual disease (MRD) monitoring protocol in multiple myeloma. EXPERIMENTAL DESIGN A total of 447 sequential serum samples from 56 patients with multiple myeloma were analyzed using EasyM. Patient-specific M-protein peptides were sequenced from diagnostic samples; sequential samples were quantified by EasyM to monitor the M-protein. The performance of EasyM was compared with serum immunofixation electrophoresis (IFE), bone marrow multiparameter flow cytometry (MFC), and next-generation flow cytometry (NGF) detection. The optimal balance of EasyM sensitivity/specificity versus NGF (10-5 sensitivity) was determined and the prognostic impact of MS-MRD status was investigated. RESULTS Of the 447 serum samples detected and measured by EasyM, 397, 126, and 92 had time-matching results for comparison with serum IFE, MFC-MRD, and NGF-MRD, respectively. Using a dotp >0.9 as the MS-MRD positive, sensitivity was 99.6% versus IFE and 100.0% versus MFC and NGF. Using an MS negative cutoff informed by ROC analysis (<1.86% of that at diagnosis), EasyM sensitivity remained high versus IFE (88.3%), MFC (85.1%), and NGF (93.2%), whereas specificity increased to 90.4%, 55.8%, and 93.2%, respectively. In the multivariate analysis, older diagnostic age was an independent predictor for progression-free survival [PFS; high risk (HR), 3.15; 1.26-7.86], the best MS-MRD status (MS-MRD negative) was independent predictor for both PFS (HR, 0.25; 0.12-0.52) and overall survival (HR, 0.16; 0.06-0.40). CONCLUSIONS EasyM is a highly sensitive and minimal invasive method of MRD monitoring in multiple myeloma; MS-MRD had significant predictive ability for survival outcomes.
Collapse
Affiliation(s)
- Huishou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Bing Wang
- Shanghai Kuaixu Biotechnology Co., Ltd., Shanghai, China
| | - Lihui Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Ni Pan
- Shanghai Kuaixu Biotechnology Co., Ltd., Shanghai, China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lixin Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yuntong Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jian Cui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiequn Chen
- Department of Hematology, Affiliated Hospital of Northwest University, Institute of Hematology, Northwest University, Xian, Shaanxi, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| |
Collapse
|
27
|
Lan X, Zhang F, Yang C, Su W, Du J, Liu S, Chen M, Han B, Zhou D, Zhuang J. Complete blood and urine paraprotein tests as response assessments in multiple myeloma patients treated with bortezomib, cyclophosphamide, and dexamethasone. Chronic Dis Transl Med 2024; 10:62-68. [PMID: 38450304 PMCID: PMC10914010 DOI: 10.1002/cdt3.99] [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: 07/22/2023] [Revised: 09/05/2023] [Accepted: 09/25/2023] [Indexed: 03/08/2024] Open
Abstract
Background This study assessed the effect of standardized efficacy markers on prognosis in patients with newly diagnosed multiple myeloma (MM) during the induction phase of treatment with bortezomib, cyclophosphamide, and dexamethasone (BCD). Methods We retrospectively analyzed clinical data in 197 newly diagnosed MM patients treated with BCD as front-line regimen at Peking Union Medical College Hospital from January 1, 2013 to December 31, 2018. Results There were 107 patients with International Staging System (ISS) III and 51 with paraprotein of light chain. Of these, 77 completed nine cycles of the BCD regimen. As the number of treatment cycles increased, the proportions of serum and urine immunofixation electrophoresis (IFE) tests elevated from 40.39% to 62.22% and 16.75% to 37.78%, respectively. More than 90% of intact immunoglobulin chain MM patients were evaluated for blood M protein per cycle, but that of urinary M protein was less than 60%. The detection rate of urinary M protein in light chain MM was more than 70% per cycle. Patients with a very good partial response (VGPR) had longer progression-free survival (PFS) than those with uncertain VGPR (32 vs. 26 months, p = 0.0336). Of the 141 patients who completed at least four cycles without undergoing autologous hematopoietic stem cell transplantation, those who were regularly assessed at every other cycle showed more favorable PFS than those who visited irregularly (27 vs. 22 months, p = 0.059). Conclusion Urinary M protein detection rate is significantly lower than that in serum, leading to an overestimation of efficacy, premature reduction of treatment intensity, and shortened PFS. Precise response assessments are critical to treatment decisions and clinical diagnoses.
Collapse
Affiliation(s)
- Xialu Lan
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
- Department of Pathology, Sun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhouChina
| | - Fujing Zhang
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Chen Yang
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Wei Su
- Department of Laboratory Medicine, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Jianhua Du
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Shuangjiao Liu
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Miao Chen
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Bing Han
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Daobin Zhou
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Junling Zhuang
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| |
Collapse
|
28
|
Tettero JM, Heidinga ME, Mocking TR, Fransen G, Kelder A, Scholten WJ, Snel AN, Ngai LL, Bachas C, van de Loosdrecht AA, Ossenkoppele GJ, de Leeuw DC, Cloos J, Janssen JJWM. Impact of hemodilution on flow cytometry based measurable residual disease assessment in acute myeloid leukemia. Leukemia 2024; 38:630-639. [PMID: 38272991 PMCID: PMC10912027 DOI: 10.1038/s41375-024-02158-1] [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: 09/24/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 01/27/2024]
Abstract
Measurable residual disease (MRD) measured in the bone marrow (BM) of acute myeloid leukemia (AML) patients after induction chemotherapy is an established prognostic factor. Hemodilution, stemming from peripheral blood (PB) mixing within BM during aspiration, can yield false-negative MRD results. We prospectively examined hemodilution by measuring MRD in BM aspirates obtained from three consecutive 2 mL pulls, along with PB samples. Our results demonstrated a significant decrease in MRD percentages between the first and second pulls (P = 0.025) and between the second and third pulls (P = 0.025), highlighting the impact of hemodilution. Initially, 39% of MRD levels (18/46 leukemia-associated immunophenotypes) exceeded the 0.1% cut-off, decreasing to 30% (14/46) in the third pull. Additionally, we assessed the performance of six published methods and parameters for distinguishing BM from PB samples, addressing or compensating for hemodilution. The most promising results relied on the percentages of CD16dim granulocytic population (scarce in BM) and CD117high mast cells (exclusive to BM). Our findings highlight the importance of estimating hemodilution in MRD assessment to qualify MRD results, particularly near the common 0.1% cut-off. To avoid false-negative results by hemodilution, it is essential to collect high-quality BM aspirations and preferably utilizing the initial pull for MRD testing.
Collapse
Affiliation(s)
- Jesse M Tettero
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Maaike E Heidinga
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Tim R Mocking
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Glenn Fransen
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Angèle Kelder
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Willemijn J Scholten
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Alexander N Snel
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Lok Lam Ngai
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Costa Bachas
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Arjan A van de Loosdrecht
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Gert J Ossenkoppele
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - David C de Leeuw
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jacqueline Cloos
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands.
| | - Jeroen J W M Janssen
- Department of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
| |
Collapse
|
29
|
Partanen A, Waage A, Peceliunas V, Schjesvold F, Anttila P, Säily M, Uttervall K, Putkonen M, Carlson K, Haukas E, Sankelo M, Szatkowski D, Hansson M, Marttila A, Svensson R, Axelsson P, Lauri B, Mikkola M, Karlsson C, Abelsson J, Ahlstrand E, Sikiö A, Klimkowska M, Matuzeviciene R, Fenstad MH, Ilveskero S, Pelliniemi TT, Nahi H, Silvennoinen R. Ixazomib, Lenalidomide, and Dexamethasone (IRD) Treatment with Cytogenetic Risk-Based Maintenance in Transplant-Eligible Myeloma: A Phase 2 Multicenter Study by the Nordic Myeloma Study Group. Cancers (Basel) 2024; 16:1024. [PMID: 38473382 DOI: 10.3390/cancers16051024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 02/17/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
Scarce data exist on double maintenance in transplant-eligible high-risk (HR) newly diagnosed multiple myeloma (NDMM) patients. This prospective phase 2 study enrolled 120 transplant-eligible NDMM patients. The treatment consisted of four cycles of ixazomib-lenalidomide-dexamethasone (IRD) induction plus autologous stem cell transplantation followed by IRD consolidation and cytogenetic risk-based maintenance therapy with lenalidomide + ixazomib (IR) for HR patients and lenalidomide (R) alone for NHR patients. The main endpoint of the study was undetectable minimal residual disease (MRD) with sensitivity of <10-5 by flow cytometry at any time, and other endpoints were progression-free survival (PFS) and overall survival (OS). We present the preplanned analysis after the last patient has been two years on maintenance. At any time during protocol treatment, 28% (34/120) had MRD < 10-5 at least once. At two years on maintenance, 66% of the patients in the HR group and 76% in the NHR group were progression-free (p = 0.395) and 36% (43/120) were CR or better, of which 42% (18/43) had undetectable flow MRD <10-5. Altogether 95% of the patients with sustained MRD <10-5, 82% of the patients who turned MRD-positive, and 61% of those with positive MRD had no disease progression at two years on maintenance (p < 0.001). To conclude, prolonged maintenance with all-oral ixazomib plus lenalidomide might improve PFS in HR patients.
Collapse
Affiliation(s)
- Anu Partanen
- Department of Medicine, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Anders Waage
- Department of Hematology, St. Olavs Hospital, 7030 Trondheim, Norway
| | - Valdas Peceliunas
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital, 08661 Vilnius, Lithuania
| | - Fredrik Schjesvold
- Oslo Myeloma Center, Department of Hematology, Oslo University Hospital, 0450 Oslo, Norway
- KG Jebsen Center for B Cell Malignancies, University of Oslo, 0316 Oslo, Norway
| | - Pekka Anttila
- Helsinki University Hospital Cancer Center Hematology, University of Helsinki, 00029 Helsinki, Finland
| | - Marjaana Säily
- Hematology-Oncology Unit, Oulu University Hospital Hematology, 90220 Oulu, Finland
| | - Katarina Uttervall
- Medical Unit Hematology, Karolinska University Hospital, 171 64 Solna, Sweden
- Department of Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Mervi Putkonen
- Department of Medicine, Turku University Hospital, 20521 Turku, Finland
| | - Kristina Carlson
- Department of Hematology, Uppsala University Hospital, 751 85 Uppsala, Sweden
| | - Einar Haukas
- Stavanger University Hospital, 4011 Stavanger, Norway
| | - Marja Sankelo
- Hematology Unit, Department of Internal Medicine, Tampere University Hospital Hematology, 33520 Tampere, Finland
| | - Damian Szatkowski
- Department of Oncology, Hematology and Palliative Care, Foerde Central Hospital, 6812 Foerde, Norway
| | - Markus Hansson
- Department of Hematology, Skåne University Hospital, 222 42 Lund, Sweden
| | - Anu Marttila
- Department of Medicine, Kymenlaakso Central Hospital, 48210 Kotka, Finland
| | - Ronald Svensson
- Department of Hematology, Linköping University Hospital, 581 85 Linköping, Sweden
| | - Per Axelsson
- Department of Haematology, Helsingborg Hospital, 252 23 Helsingborg, Sweden
| | - Birgitta Lauri
- Department of Hematology, Sunderby Hospital, 971 80 Luleå, Sweden
| | - Maija Mikkola
- Department of Medicine, Päijät-Häme Central Hospital, 15850 Lahti, Finland
| | - Conny Karlsson
- Department of Haematology, Halland Hospital, 302 33 Halmstad, Sweden
| | - Johanna Abelsson
- Department of Hematology, Uddevalla Hospital, 451 53 Uddevalla, Sweden
| | - Erik Ahlstrand
- Department of Medicine, Örebro University Hospital, 701 85 Örebro, Sweden
| | - Anu Sikiö
- Department of Medicine, Central Finland Central Hospital, 40620 Jyväskylä, Finland
| | - Monika Klimkowska
- Department of Clinical Pathology and Cytology, Karolinska University Hospital, 141 86 Stockholm, Sweden
| | - Reda Matuzeviciene
- Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Biomedical Sciences Institute, Vilnius University Hospital and Vilnius University Faculty of Medicine, 03101 Vilnius, Lithuania
| | - Mona Hoysaeter Fenstad
- Department of Immunology and Transfusion Medicine, St. Olavs Hospital, 7030 Trondheim, Norway
| | - Sorella Ilveskero
- Clinical Chemistry, Helsinki University Hospital, University of Helsinki, 00014 Helsinki, Finland
| | | | - Hareth Nahi
- Hematology Centre, Karolinska University Hospital Huddinge, 141 57 Stockholm, Sweden
| | - Raija Silvennoinen
- Helsinki University Hospital Cancer Center Hematology, University of Helsinki, 00029 Helsinki, Finland
| |
Collapse
|
30
|
Guerrero C, Puig N, Cedena MT, Calasanz MJ, Gutierrez NC, Fernandez M, Oriol A, Ríos-Tamayo R, Hernandez MT, Martínez-Martínez R, Bargay J, de Arriba F, Palomera L, Gonzalez-Rodriguez AP, Gonzalez Perez MS, Orfao A, Mateos MV, Martinez-Lopez J, Rosiñol L, Bladé J, Lahuerta JJ, San-Miguel JF, Paiva B. Predictors of unsustained measurable residual disease negativity in transplant-eligible patients with multiple myeloma. Blood 2024; 143:597-603. [PMID: 38048552 DOI: 10.1182/blood.2023022083] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 12/06/2023] Open
Abstract
ABSTRACT The role of measurable residual disease (MRD) negativity as a biomarker to stop treatment is being investigated in transplant-eligible patients with multiple myeloma (MM). Thus, it is important to identify risk factors of MRD resurgence and/or progressive disease (PD) among patients achieving undetectable MRD to avoid undertreating them. Here, we studied 267 newly diagnosed transplant-eligible patients with MM enrolled in the GEM2012MENOS65 and GEM2014MAIN clinical trials who achieved MRD negativity by next-generation flow cytometry. After a median follow-up of 73 months since the first MRD negative assessment, 111 of the 267 (42%) patients showed MRD resurgence and/or PD. The only prognostic factors at diagnosis that predicted MRD resurgence and/or PD were an International Staging System (ISS) 3 and the presence of ≥0.01% circulating tumor cells (CTCs). Failure to achieve MRD negativity after induction also predicted higher risk of MRD resurgence and/or PD. Patients having 0 vs 1 vs ≥2 risk factors (ISS 3, ≥0.01% CTCs, and late MRD negativity) showed 5-year rates of MRD resurgence and/or PD of 16%, 33%, and 57%, respectively (P < .001). Thus, these easily measurable risk factors could help refine the selection of patients for whom treatment cessation after MRD negativity is being investigated in clinical trials. This trial was registered at www.clinicaltrials.gov as NCT01916252 and NCT02406144.
Collapse
Affiliation(s)
- Camila Guerrero
- Cancer Center Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Instituto de Investigación Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Cáncer (CIBER-ONC) number CB16/12/00369, Pamplona, Spain
| | - Noemi Puig
- Department of Hematology, Hospital Universitario de Salamanca Hematología, Instituto de investigación Biomédica de Salamanca, Salamanca, Spain
| | - María-Teresa Cedena
- Department of Hematology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - María-José Calasanz
- Cancer Center Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Instituto de Investigación Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Cáncer (CIBER-ONC) number CB16/12/00369, Pamplona, Spain
| | - Norma C Gutierrez
- Department of Hematology, Hospital Universitario de Salamanca Hematología, Instituto de investigación Biomédica de Salamanca, Salamanca, Spain
| | - Manuela Fernandez
- Department of Hematology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Albert Oriol
- Department of Hematology, Institut Català d'Oncologia L'Hospitalet, Barcelona, Spain
| | - Rafael Ríos-Tamayo
- Department of Hematology, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain
| | | | | | - Joan Bargay
- Department of Hematology, Hospital Universitario Son Llatzer, Institut d'Investigacio Illes Balears, Palma de Mallorca, Spain
| | - Felipe de Arriba
- Department of Hematology, Hospital Morales Meseguer, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Universidad de Murcia, Murcia, Spain
| | - Luis Palomera
- Department of Hematology, Hospital Clínico Lozano Blesa, Zaragoza, Spain
| | | | - Marta-Sonia Gonzalez Perez
- Department of Hematology, Complejo Hospitalario Universitario de Santiago de Compostela, Servizio Galego de Saúde, Compostela, Spain
| | - Alberto Orfao
- Department of Hematology, Hospital Universitario de Salamanca Hematología, Instituto de investigación Biomédica de Salamanca, Salamanca, Spain
| | - María-Victoria Mateos
- Department of Hematology, Hospital Universitario de Salamanca Hematología, Instituto de investigación Biomédica de Salamanca, Salamanca, Spain
| | | | - Laura Rosiñol
- Department of Hematology, Hospital Clínic, Institut de Recerca Biomedica August Pi i Suñer, Barcelona, Spain
| | - Joan Bladé
- Department of Hematology, Hospital Clínic, Institut de Recerca Biomedica August Pi i Suñer, Barcelona, Spain
| | - Juan-Jose Lahuerta
- Department of Hematology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Jesus F San-Miguel
- Cancer Center Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Instituto de Investigación Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Cáncer (CIBER-ONC) number CB16/12/00369, Pamplona, Spain
| | - Bruno Paiva
- Cancer Center Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Instituto de Investigación Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Cáncer (CIBER-ONC) number CB16/12/00369, Pamplona, Spain
| |
Collapse
|
31
|
Zeman D, Štork M, Švancarová L, Borský M, Pospíšilová M, Adam Z, Beňovská M, Pour L. Isoelectric focusing followed by affinity immunoblotting to detect monoclonal free light chains in monoclonal gammopathies: Comparison with immunofixation electrophoresis and free light chain ratio. Ann Clin Biochem 2024:45632231221439. [PMID: 38073192 DOI: 10.1177/00045632231221439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
BACKGROUND Isoelectric focusing (IEF) is a method with an exquisite resolution, and coupled with affinity immunoblotting (AIB), it can provide superior sensitivity to detect monoclonal free light chains (FLC). METHODS We tested the hypothesis that IEF/AIB is more sensitive and specific for monoclonal FLC detection in serum and urine samples than conventional methods, that is, electrophoresis (ELP), immunofixation (IF) and serum FLC ratio assessment. Investigation included 107 samples of 68 patients, among which 21 multiple myeloma patients were recently tested for minimal residual disease and 18 patients with AL amyloidosis. RESULTS Monoclonal FLC were detected by IEF/AIB in 37% of serum samples negative for monoclonal FLC on ELP/IF. As for urine samples, significant advantage of the IEF/AIB over ELP/IF was not demonstrated. Considering both serum and urine results, IEF/AIB definitely revealed monoclonal FLC in 20/83 (24%) of ELP/IF-negative samples. FLC ratio was abnormally high (>1.65) in all 11 patients definitely positive for monoclonal FLC kappa by IEF/AIB but also in 16/47 (34%) IEF/AIB-negative samples. Abnormally low values (<0.26) were found only in 10/28 samples (36%) positive for monoclonal FLC lambda. Appropriate use of renal FLC ratio reference range reduced the number of presumably false positives (6/47, i.e. 13%) but not false negatives (17/28, i.e. 61%). CONCLUSIONS The IEF/AIB method is more sensitive than IF and might be used in patients with negative IF results before deciding whether to proceed to minimal residual disease testing.
Collapse
Affiliation(s)
- David Zeman
- Department of Laboratory Medicine, Division of Clinical Biochemistry, University Hospital Brno, Brno, Czech Republic
- Department of Laboratory Methods, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Martin Štork
- Department of Internal Medicine, Haematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Lenka Švancarová
- Department of Laboratory Methods, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Marek Borský
- Department of Internal Medicine, Haematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Michaela Pospíšilová
- Department of Laboratory Medicine, Division of Clinical Biochemistry, University Hospital Brno, Brno, Czech Republic
- Department of Laboratory Methods, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Zdeněk Adam
- Department of Internal Medicine, Haematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Miroslava Beňovská
- Department of Laboratory Medicine, Division of Clinical Biochemistry, University Hospital Brno, Brno, Czech Republic
- Department of Laboratory Methods, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Luděk Pour
- Department of Internal Medicine, Haematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| |
Collapse
|
32
|
Gupta L, Suku P, Dash A, Bose P, Sharma P, Mallik N, Sreedharanunni S, Varma N, Jandial A, Malhotra P, Sachdeva MUS. Detection of circulating normal and tumor plasma cells in newly diagnosed patients of multiple myeloma and their associations with clinical and laboratory parameters. Curr Probl Cancer 2024; 48:101025. [PMID: 37951052 DOI: 10.1016/j.currproblcancer.2023.101025] [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: 08/09/2023] [Revised: 09/20/2023] [Accepted: 10/18/2023] [Indexed: 11/13/2023]
Abstract
INTRODUCTION Circulating plasma cells (CPCs) are frequently noted in variable frequencies in the entire spectrum of plasma cells neoplasms. With advent of high sensitivity multi-parametric flow cytometry, it is not only possible to detect CPCs present in very low numbers, but also to categorise them into circulating tumor plasma cells (CTPCs) and circulating normal plasma cells (CNPCs), based on their marker-profile. This study used multi-colour flow cytometry to evaluate the load of both CTPCs & CNPCs at the time of diagnosis and at six months' time-point of therapy, and evaluated associations of both with clinical and laboratory parameters. METHODS Twenty one newly diagnosed MM patients were enrolled. Six to nine millilitres of EDTA-anticoagulated peripheral blood sample was used for flow cytometry. A ten colour antibody panel was used for analysis of CPCs, which were categorised further into CTPCs and CNPCs. Approximately 4.8 million events were acquired for the analysis. The percentage &absolute numbers of CTPCs and CNPCs were noted and the proportion of CTPCs out of all CPCs (CTPCs + CNPCs) were also calculated for evaluating their statistical associations. RESULTS All 21 patients of newly diagnosed MM showed presence of CPCs (CTPCs and/or CNPCs) at the time of diagnosis. The CTPCs were detected in 76 % of the study population. The median percentage and absolute counts of CTPCs were 0.52 % and 54.9 cells /µL, respectively. CNPCs were found in 95 % and the median percentage and absolute counts of CNPCs were 0.025 % and 2.66 cells/µL. After six months of therapy, CPCs (CTPCs and/or CNPCs) were found in all nine patients evaluated for this assay. CTPCs were found 33 %, with a median of 0.075 % and CNPCs were found in 89 % with a median of 0.01 %. Our study showed that the load of CTPCs was found to be higher in patients with presence of lytic bone lesions, plasmacytoma, presence of PCs on peripheral blood film by light microscopy, presence of Chr 1p32 deletion, expression of CD56 and CD81 on CTPCs, and in patients with absence of very good partial response (VGPR). Conversely, the load of CTPCs was significantly lower in patients with concomitant amyloidosis. Also, percentage of bone marrow plasma cells exhibited a significant positive correlation with the absolute count of CTPCs. We observed that the mean percentage of CNPCs was significantly higher in female patients. The load of CNPCs was lower in patients with thrombocytopenia and with hypoalbuminemia. CONCLUSION Increased burden of CTPCs was associated with presence of lytic lesions, plasmacytomas, Chr 1p32 deletion, expression of CD56 and CD81 on tumor cells and with failure to achieve very good partial response. The CNPCs were lower in patients with thrombocytopenia and with hypoalbuminemia. To best ot our knowledge, this is the first study from India on the relevance of circulating tumor plasma cells and the first study in the world to analyse the associations of circulating normal plasma cells in newly diagnosed patients of multiple myeloma. The study also highlights the utility of multi-parametric flow cytometry in identification and enumeration of circulating plasma cells. MICRO ABSTRACT Circulating plasma cells indicates poorer outcomes in patients of multiple myeloma. Twenty one newly diagnosed multiple myeloma patients were evaluated by flow cytometry to enumerate and characterise circulating tumor plasma cells (CTPCs) and circulating normal plasma cells (CNPCs). Higher load of CTPCs correlated with known poor prognostic markers and poor response to therapy.
Collapse
Affiliation(s)
- Leena Gupta
- Former Junior Resident, MD Pathology, Department of Hematology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Pratibha Suku
- Junior Research Fellow, Department of Hematology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Aishwarya Dash
- PhD Scholar, Department of Hematology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Parveen Bose
- Senior Lab Technician, Department of Hematology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Praveen Sharma
- Assistant Professor, Department of Hematology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Nabhajit Mallik
- Assistant Professor, Department of Hematology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Sreejesh Sreedharanunni
- Associate Professor, Department of Hematology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Neelam Varma
- Former Professor & Head, Department of Hematology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Aditya Jandial
- Former Senior Research Associate, Department of Clinical Hematology and Medical Oncology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Pankaj Malhotra
- Professor and Head, Department of Clinical Hematology and Medical Oncology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Man Updesh Singh Sachdeva
- Professor, Department of Hematology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
| |
Collapse
|
33
|
Ikeda D, Terao T, Oura M, Uehara A, Tabata R, Narita K, Takeuchi M, Machida Y, Matsue K. Analysis of baseline circulating tumor cells integrated with PET/CT findings in transplant-ineligible multiple myeloma. Blood Adv 2024; 8:37-46. [PMID: 38150271 PMCID: PMC10784675 DOI: 10.1182/bloodadvances.2023011890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/06/2023] [Indexed: 12/28/2023] Open
Abstract
ABSTRACT We aimed to improve prognostic predictors in patients with transplant-ineligible multiple myeloma (TIE-MM) by combining baseline circulating clonal tumor cells (CTCs) and positron emission tomography/computed tomography (PET/CT) findings. The factors associated with prognosis were retrospectively investigated in 126 patients with TIE-MM who underwent CTC quantification by multiparameter flow cytometry and PET/CT at the initial presentation. The total lesion glycolysis (TLG) level was calculated using the Metavol software. The median percentage of CTC was 0.06% (range, 0%-4.82%), and 54 patients (42.9%) demonstrated high CTC levels. High CTC levels were associated with significantly poorer progression-free survival (PFS, 2-year 43.4% vs 68.1%; P < .001) and overall survival (OS, 5-year 39.0% vs 68.3%; P < .001). Similarly, high TLG levels significantly worsened the PFS (2-year, 41.2% vs 67.6%; P = .038) and OS (5-year, 37.7% vs 63.1%; P = .019). The multivariate analyses showed that Revised International Staging System (R-ISS) III, high CTC and TLG levels, and complete response were significant prognostic factors for PFS and OS. A novel predictive model was constructed using CTCs, TLG, and R-ISS III. The patients were stratified into 3 groups according to the number of risk factors, revealing an extremely high-risk group with a 2-year PFS of 0% and a 5-year OS of 20%. Patients without any high-risk features had better prognosis, with a 2-year PFS of 78.6% and a 5-year OS of 79.5%. The combination of CTCs and volumetric assessment of PET/CT at diagnosis augments the existing stratification systems and may pave the way for a risk-adapted treatment approach.
Collapse
Affiliation(s)
- Daisuke Ikeda
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Toshiki Terao
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Mitsuaki Oura
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Atsushi Uehara
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Rikako Tabata
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Kentaro Narita
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Masami Takeuchi
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Youichi Machida
- Department of Radiology, Kameda Medical Center, Chiba, Japan
| | - Kosei Matsue
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| |
Collapse
|
34
|
Cools M, Grijp C, Neirinck J, Tavernier SJ, Schelstraete P, Van De Velde J, Morbée L, De Baere E, Bonroy C, van Bever Y, Bruggenwirth H, Vermont C, Hannema SE, De Rijke Y, Abdulhadi-Atwan M, Zangen D, Verdin H, Haerynck F. Spleen function is reduced in individuals with NR5A1 variants with or without a difference of sex development: a cross-sectional study. Eur J Endocrinol 2024; 190:34-43. [PMID: 38128121 DOI: 10.1093/ejendo/lvad174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/06/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE NR5A1 is a key regulator of sex differentiation and has been implicated in spleen development through transcription activation of TLX1. Concerns exist about hypo- or asplenism in individuals who have a difference of sex development (DSD) due to an NR5A1 disease-causing variant. We aimed to assess spleen anatomy and function in a clinical cohort of such individuals and in their asymptomatic family member carriers. DESIGN Cross-sectional assessment in 22 patients with a DSD or primary ovarian insufficiency and 5 asymptomatic carriers from 18 families, harboring 14 different NR5A1 variants. METHODS Spleen anatomy was assessed by ultrasound, spleen function by peripheral blood cell count, white blood cell differentiation, percentage of nonswitched memory B cells, specific pneumococcal antibody response, % pitted red blood cells, and Howell-Jolly bodies. RESULTS Patients and asymptomatic heterozygous individuals had significantly decreased nonswitched memory B cells compared to healthy controls, but higher than asplenic patients. Thrombocytosis and spleen hypoplasia were present in 50% of heterozygous individuals. Four out of 5 individuals homozygous for the previously described p.(Arg103Gln) variant had asplenia. CONCLUSIONS Individuals harboring a heterozygous NR5A1 variant that may cause DSD have a considerable risk for functional hyposplenism, irrespective of their gonadal phenotype. Splenic function should be assessed in these individuals, and if affected or unknown, prophylaxis is recommended to prevent invasive encapsulated bacterial infections. The splenic phenotype associated with NR5A1 variants is more severe in homozygous individuals and is, at least for the p.(Arg103Gln) variant, associated with asplenism.
Collapse
Affiliation(s)
- Martine Cools
- Department of Internal Medicine and Pediatrics, Pediatric Endocrinology Service, Ghent University, Ghent University Hospital, 9000 Ghent, Belgium
| | - Celien Grijp
- Department of Internal Medicine and Pediatrics, Pediatric Endocrinology Service, Ghent University, Ghent University Hospital, 9000 Ghent, Belgium
| | - Jana Neirinck
- Department of Diagnostic Science, Ghent University, Department of Laboratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium
| | - Simon J Tavernier
- Department of Internal Medicine and Pediatrics, PID Research Lab, Ghent University, 9000 Ghent, Belgium
- Laboratory of Molecular Signal Transduction in Inflammation, Center for Inflammation Research, VIB, 9000 Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, 9000 Ghent, Belgium
| | - Petra Schelstraete
- Department of Internal Medicine and Pediatrics, Pediatric Pulmonology and Infectious Diseases, Ghent University, Ghent University Hospital, 9000 Ghent, Belgium
| | - Julie Van De Velde
- Department of Internal Medicine and Pediatrics, Pediatric Endocrinology Service, Ghent University, Ghent University Hospital, 9000 Ghent, Belgium
- Center for Medical Genetics, Ghent University Hospital, Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
| | - Lieve Morbée
- Department of Radiology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Elfride De Baere
- Center for Medical Genetics, Ghent University Hospital, Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
| | - Carolien Bonroy
- Department of Diagnostic Science, Ghent University, Department of Laboratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium
| | - Yolande van Bever
- Department of Clinical Genetics, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Hennie Bruggenwirth
- Department of Clinical Genetics, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Clementien Vermont
- Department of Pediatric Infectious Diseases and Immunology, Erasmus Medical Center-Sophia Children's Hospital, 3015 GD Rotterdam, The Netherlands
| | - Sabine E Hannema
- Department of Pediatric Endocrinology, Erasmus Medical Center-Sophia Children's Hospital, 3015 GD Rotterdam, The Netherlands
- Department of Paediatric Endocrinology, Gastroenterology Endocrinology Metabolism, Reproduction and Development, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Yolanda De Rijke
- Department of Clinical Chemistry, Erasmus MC, University Medical Center 3015 GD Rotterdam, The Netherlands
| | - Maha Abdulhadi-Atwan
- Department of Pediatrics, Pediatric Endocrinology Service, Palestine Red Crescent Society Hospital, PO Box 421, Hebron, Palestine
| | - David Zangen
- Division of Pediatric Endocrinology, Faculty of Medicine, Hadassah University Hospital, Hebrew University of Jerusalem, 91120 Jerusalem, Israel
| | - Hannah Verdin
- Center for Medical Genetics, Ghent University Hospital, Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
| | - Filomeen Haerynck
- Department of Internal Medicine and Pediatrics, PID Research Lab, Ghent University, 9000 Ghent, Belgium
- Department of Pediatric Pulmonology and Immunology, Centre for Primary Immune Deficiency, Jeffrey Modell Diagnostic and Research Centre for PID, Ghent University Hospital, 9000 Ghent, Belgium
| |
Collapse
|
35
|
Pérez-Escurza O, Flores-Montero J, Óskarsson JÞ, Sanoja-Flores L, Del Pozo J, Lecrevisse Q, Martín S, Reed ER, Hákonardóttir GK, Harding S, Þorsteinsdóttir S, Rögnvaldsson S, Love TJ, Durie B, Kristinsson SY, Orfao A. Immunophenotypic assessment of clonal plasma cells and B-cells in bone marrow and blood in the diagnostic classification of early stage monoclonal gammopathies: an iSTOPMM study. Blood Cancer J 2023; 13:182. [PMID: 38072838 PMCID: PMC10711003 DOI: 10.1038/s41408-023-00944-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/26/2023] [Accepted: 11/03/2023] [Indexed: 12/18/2023] Open
Abstract
Monoclonal gammopathy of undetermined significance (MGUS) is the earliest discernible stage of multiple myeloma (MM) and Waldenström's macroglobulinemia (WM). Early diagnosis of MG may be compromised by the low-level infiltration, undetectable to low-sensitive methodologies. Here, we investigated the prevalence and immunophenotypic profile of clonal (c) plasma cells (PC) and/or cB-lymphocytes in bone marrow (BM) and blood of subjects with a serum M-component from the iSTOPMM program, using high-sensitive next-generation flow cytometry (NGF), and its utility in the diagnostic classification of early-stage MG. We studied 164 paired BM and blood samples from 82 subjects, focusing the analysis on: 55 MGUS, 12 smoldering MM (SMM) and 8 smoldering WM (SWM). cPC were detected in 84% of the BM samples and cB-lymphocytes in 45%, coexisting in 39% of cases. In 29% of patients, the phenotypic features of cPC and/or cB-lymphocytes allowed a more accurate disease classification, including: 19/55 (35%) MGUS, 1/12 (8%) SMM and 2/8 (25%) SWM. Blood samples were informative in 49% of the BM-positive cases. We demonstrated the utility of NGF for a more accurate diagnostic classification of early-stage MG.
Collapse
Affiliation(s)
- Oihane Pérez-Escurza
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca); Cytometry Service, NUCLEUS; Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
| | - Juan Flores-Montero
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca); Cytometry Service, NUCLEUS; Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
- Department of Hematology, University Hospital of Salamanca, Salamanca, Spain
| | | | - Luzalba Sanoja-Flores
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine of Seville, Department of Hematology, University Hospital Virgen del Rocío of the Consejo Superior de Investigaciones Científicas (CSIC), University of Seville, Seville, Spain
| | - Julio Del Pozo
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca); Cytometry Service, NUCLEUS; Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
| | - Quentin Lecrevisse
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca); Cytometry Service, NUCLEUS; Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Silvia Martín
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca); Cytometry Service, NUCLEUS; Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
| | - Elín Ruth Reed
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | | | | | - Sigrún Þorsteinsdóttir
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Rigshospitalet, Copenhagen, Denmark
| | - Sæmundur Rögnvaldsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Department of Science, Landspitali University Hospital, Reykjavík, Iceland
| | - Thorvardur Jon Love
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Department of Science, Landspitali University Hospital, Reykjavík, Iceland
| | - Brian Durie
- Department of Hematology and Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sigurður Yngvi Kristinsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Department of Science, Landspitali University Hospital, Reykjavík, Iceland
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca); Cytometry Service, NUCLEUS; Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain.
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain.
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.
| |
Collapse
|
36
|
Ziccheddu B, Giannotta C, D'Agostino M, Bertuglia G, Saraci E, Oliva S, Genuardi E, Papadimitriou M, Diamond B, Corradini P, Coffey D, Landgren O, Bolli N, Bruno B, Boccadoro M, Massaia M, Maura F, Larocca A. Genomic and immune determinants of resistance to anti-CD38 monoclonal antibody-based therapy in relapsed refractory multiple myeloma. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.04.23299287. [PMID: 38106151 PMCID: PMC10723485 DOI: 10.1101/2023.12.04.23299287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Anti-CD38 antibody therapies have transformed multiple myeloma (MM) treatment. However, a large fraction of patients inevitably relapses. To understand this, we investigated 32 relapsed MM patients treated with daratumumab, lenalidomide, and dexamethasone (Dara-Rd; NCT03848676 ). Whole genome sequencing (WGS) before and after treatment pinpointed genomic drivers associated with early progression, including RPL5 loss and APOBEC mutagenesis. Flow cytometry on 202 blood samples, collected every three months until progression for 31 patients, revealed distinct immune changes significantly impacting clinical outcomes. Progressing patients exhibited significant depletion of CD38+ NK cells, persistence of T cell exhaustion, and reduced depletion of T-reg cells over time. These findings underscore the influence of immune composition and daratumumab-induced immune changes in promoting MM resistance. Integrating genomics and flow cytometry unveiled associations between adverse genomic features and immune patterns. Overall, this study sheds light on the intricate interplay between genomic complexity and the immune microenvironment driving resistance to Dara-Rd.
Collapse
|
37
|
Ware AD, Wake LM, Fedoriw Y. Lymphomas and Amyloid in the Gastrointestinal Tract. Surg Pathol Clin 2023; 16:719-743. [PMID: 37863562 DOI: 10.1016/j.path.2023.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2023]
Abstract
Lymphoproliferative disorders are a heterogeneous group of neoplasms with varying clinical, morphologic, immunophenotypic, and genetic characteristics. A subset of lymphomas have a proclivity for the gastrointestinal tract, although this region may also be involved by systemic lymphomas. In addition, a number of indolent lymphoproliferative disorders of the gastrointestinal tract have been defined over the past decade, and it is important to accurately differentiate these neoplasms to ensure that patients receive the proper management. Here, the authors review lymphoid neoplasms that show frequent gastrointestinal involvement and provide updates from the recent hematolymphoid neoplasm classification systems.
Collapse
Affiliation(s)
- Alisha D Ware
- Department of Pathology & Laboratory Medicine, University of North Carolina School of Medicine, 160 Medical Drive, Brinkhous-Bullitt Building, CB#7525, Chapel Hill, NC 27599, USA
| | - Laura M Wake
- Department of Pathology, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Pathology Building, Room 401, Baltimore, MD 21287, USA
| | - Yuri Fedoriw
- Department of Pathology & Laboratory Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, 160 Medical Drive, Brinkhous-Bullitt Building, CB#7525, Chapel Hill, NC 27599, USA.
| |
Collapse
|
38
|
Oliva-Ariza G, Fuentes-Herrero B, Lecrevisse Q, Carbonell C, Pérez-Pons A, Torres-Valle A, Pozo J, Martín-Oterino JÁ, González-López Ó, López-Bernús A, Bernal-Ribes M, Belhassen-García M, Pérez-Escurza O, Pérez-Andrés M, Vazquez L, Hernández-Pérez G, García Palomo FJ, Leoz P, Costa-Alba P, Pérez-Losada E, Yeguas A, Santos Sánchez M, García-Blázquez M, Morán-Plata FJ, Damasceno D, Botafogo V, Muñoz-García N, Fluxa R, van Dongen JJM, Marcos M, Almeida J, Orfao A. Immune cell kinetics and antibody response in COVID-19 patients with low-count monoclonal B-cell lymphocytosis. Am J Hematol 2023; 98:1909-1922. [PMID: 37792579 DOI: 10.1002/ajh.27119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/06/2023] [Accepted: 09/19/2023] [Indexed: 10/06/2023]
Abstract
Low-count monoclonal B-cell lymphocytosis (MBLlo ) has been associated with an underlying immunodeficiency and has recently emerged as a new risk factor for severe COVID-19. Here, we investigated the kinetics of immune cell and antibody responses in blood during COVID-19 of MBLlo versus non-MBL patients. For this study, we analyzed the kinetics of immune cells in blood of 336 COVID-19 patients (74 MBLlo and 262 non-MBL), who had not been vaccinated against SARS-CoV-2, over a period of 43 weeks since the onset of infection, using high-sensitivity flow cytometry. Plasma levels of anti-SARS-CoV-2 antibodies were measured in parallel by ELISA. Overall, early after the onset of symptoms, MBLlo COVID-19 patients showed increased neutrophil, monocyte, and particularly, plasma cell (PC) counts, whereas eosinophil, dendritic cell, basophil, and lymphocyte counts were markedly decreased in blood of a variable percentage of samples, and with a tendency toward normal levels from week +5 of infection onward. Compared with non-MBL patients, MBLlo COVID-19 patients presented higher neutrophil counts, together with decreased pre-GC B-cell, dendritic cell, and innate-like T-cell counts. Higher PC levels, together with a delayed PC peak and greater plasma levels of anti-SARS-CoV-2-specific antibodies (at week +2 to week +4) were also observed in MBLlo patients. In summary, MBLlo COVID-19 patients share immune profiles previously described for patients with severe SARS-CoV-2 infection, associated with a delayed but more pronounced PC and antibody humoral response once compared with non-MBL patients.
Collapse
Affiliation(s)
- Guillermo Oliva-Ariza
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Blanca Fuentes-Herrero
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Quentin Lecrevisse
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Cristina Carbonell
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Internal Medicine, University Hospital of Salamanca, Salamanca, Spain
| | - Alba Pérez-Pons
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Alba Torres-Valle
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Julio Pozo
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - José Ángel Martín-Oterino
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Internal Medicine, University Hospital of Salamanca, Salamanca, Spain
| | - Óscar González-López
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Amparo López-Bernús
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Internal Medicine, University Hospital of Salamanca, Salamanca, Spain
- Department of Infectious Diseases, University Hospital of Salamanca, Centro de Investigación de Enfermedades Tropicales de la Universidad de Salamanca (CIETUS), Salamanca, Spain
| | - Marta Bernal-Ribes
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
| | - Moncef Belhassen-García
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Internal Medicine, University Hospital of Salamanca, Salamanca, Spain
- Department of Infectious Diseases, University Hospital of Salamanca, Centro de Investigación de Enfermedades Tropicales de la Universidad de Salamanca (CIETUS), Salamanca, Spain
| | - Oihane Pérez-Escurza
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Martín Pérez-Andrés
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Lourdes Vazquez
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, Salamanca, Spain
| | - Guillermo Hernández-Pérez
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Internal Medicine, University Hospital of Salamanca, Salamanca, Spain
| | | | - Pilar Leoz
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, Salamanca, Spain
| | - Pilar Costa-Alba
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Emergency Department, University Hospital of Salamanca, Salamanca, Spain
| | - Elena Pérez-Losada
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Intensive Care Department, University Hospital of Salamanca, Salamanca, Spain
| | - Ana Yeguas
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, Salamanca, Spain
| | - Miryam Santos Sánchez
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | | | - F Javier Morán-Plata
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Daniela Damasceno
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Vitor Botafogo
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Noemí Muñoz-García
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | | | - Jacques J M van Dongen
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
| | - Miguel Marcos
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Internal Medicine, University Hospital of Salamanca, Salamanca, Spain
| | - Julia Almeida
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC - University of Salamanca); Cytometry Service, NUCLEUS, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| |
Collapse
|
39
|
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.
Collapse
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
| |
Collapse
|
40
|
Jin X, Jiang X, Wang W, Liu S, Han B, Han J, Zhuang J. Pure red cell aplasia and minimal residual disease conversion associated with immune reconstitution in a patient with high-risk multiple myeloma. Chronic Dis Transl Med 2023; 9:341-344. [PMID: 37915388 PMCID: PMC10617308 DOI: 10.1002/cdt3.81] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/24/2023] [Accepted: 05/29/2023] [Indexed: 11/03/2023] Open
Abstract
A second bone marrow aspiration and biopsy showed pure red cell aplasia in this case.
Collapse
Affiliation(s)
- Xianghong Jin
- Department of HematologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
- Peking Union Medical College, Chinese Academy and Medical SciencesBeijingChina
| | - Xianyong Jiang
- Department of HematologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Wei Wang
- Department of HematologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Shuangjiao Liu
- Department of HematologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Bing Han
- Department of HematologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Jianhua Han
- Department of Clinical LaboratoryPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Junling Zhuang
- Department of HematologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| |
Collapse
|
41
|
Cárdenas MC, García-Sanz R, Puig N, Pérez-Surribas D, Flores-Montero J, Ortiz-Espejo M, de la Rubia J, Cruz-Iglesias E. Recommendations for the study of monoclonal gammopathies in the clinical laboratory. A consensus of the Spanish Society of Laboratory Medicine and the Spanish Society of Hematology and Hemotherapy. Part I: Update on laboratory tests for the study of monoclonal gammopathies. Clin Chem Lab Med 2023; 61:2115-2130. [PMID: 37477188 DOI: 10.1515/cclm-2023-0326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/29/2023] [Indexed: 07/22/2023]
Abstract
Monoclonal gammopathies (MG) are characterized by the proliferation of plasma cells that produce identical abnormal immunoglobulins (intact or some of their subunits). This abnormal immunoglobulin component is called monoclonal protein (M-protein), and is considered a biomarker of proliferative activity. The identification, characterization and measurement of M-protein is essential for the management of MG. We conducted a systematic review of the different tests and measurement methods used in the clinical laboratory for the study of M-protein in serum and urine, the biochemistry and hematology tests necessary for clinical evaluation, and studies in bone marrow, peripheral blood and other tissues. This review included literature published between 2009 and 2022. The paper discusses the main methodological characteristics and limitations, as well as the purpose and clinical value of the different tests used in the diagnosis, prognosis, monitoring and assessment of treatment response in MG. Included are methods for the study of M-protein, namely electrophoresis, measurement of immunoglobulin levels, serum free light chains, immunoglobulin heavy chain/light chain pairs, and mass spectrometry, and for the bone marrow examination, morphological analysis, cytogenetics, molecular techniques, and multiparameter flow cytometry.
Collapse
Affiliation(s)
- María C Cárdenas
- Department of Clinical Analysis, Hospital Clinico San Carlos, Madrid, Spain
- Protein Commission, Spanish Society of Laboratory Medicine (SEQCML), Barcelona, Spain
| | - Ramón García-Sanz
- Hematology Department, University Hospital of Salamanca, Research Biomedical Institute of Salamanca (IBSAL), CIBERONC and Center for Cancer Research-IBMCC (University of Salamanca-CSIC), Salamanca, Spain
- Spanish Society of Hematology and Hemotherapy (SEHH), Madrid, Spain
| | - Noemí Puig
- Hematology Department, University Hospital of Salamanca, Research Biomedical Institute of Salamanca (IBSAL), CIBERONC and Center for Cancer Research-IBMCC (University of Salamanca-CSIC), Salamanca, Spain
- Spanish Society of Hematology and Hemotherapy (SEHH), Madrid, Spain
| | - David Pérez-Surribas
- Laboratori Pasteur, Andorra La Vella, Andorra
- Protein Commission, Spanish Society of Laboratory Medicine (SEQCML), Barcelona, Spain
| | - Juan Flores-Montero
- Hematology Department, University Hospital of Salamanca, Research Biomedical Institute of Salamanca (IBSAL), CIBERONC and Center for Cancer Research-IBMCC (University of Salamanca-CSIC), Salamanca, Spain
- Spanish Society of Hematology and Hemotherapy (SEHH), Madrid, Spain
| | - María Ortiz-Espejo
- Department of Clinical Analysis, Hospital Universitario Marqués de Valdecilla, Santander, Spain
- Protein Commission, Spanish Society of Laboratory Medicine (SEQCML), Barcelona, Spain
| | - Javier de la Rubia
- Hematology Department, Hospital Universitario y Politécnico La Fe & Universidad Católica de Valencia, Instituto de Investigación Sanitaria La Fe Centro de Investigación Biomédica en Red de Cáncer, CIBERONC CB16/12/00284, Instituto de Salud Carlos III, Valencia, Spain
- Spanish Society of Hematology and Hemotherapy (SEHH), Madrid, Spain
| | - Elena Cruz-Iglesias
- Department of Laboratory Medicine, Osakidetza Basque Health Service, Basurto University Hospital, Bilbao, Spain
- Protein Commission, Spanish Society of Laboratory Medicine (SEQCML), Barcelona, Spain
| |
Collapse
|
42
|
Rosiñol L, Hebraud B, Oriol A, Colin AL, Ríos Tamayo R, Hulin C, Blanchard MJ, Caillot D, Sureda A, Hernández MT, Arnulf B, Mateos MV, Macro M, San-Miguel J, Belhadj K, Lahuerta JJ, Garelik MB, Bladé J, Moreau P. Integrated analysis of randomized controlled trials evaluating bortezomib + lenalidomide + dexamethasone or bortezomib + thalidomide + dexamethasone induction in transplant-eligible newly diagnosed multiple myeloma. Front Oncol 2023; 13:1197340. [PMID: 38023148 PMCID: PMC10652744 DOI: 10.3389/fonc.2023.1197340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 08/09/2023] [Indexed: 12/01/2023] Open
Abstract
Objective Providing the most efficacious frontline treatment for newly diagnosed multiple myeloma (NDMM) is critical for patient outcomes. No direct comparisons have been made between bortezomib + lenalidomide + dexamethasone (VRD) and bortezomib + thalidomide + dexamethasone (VTD) induction regimens in transplant-eligible NDMM. Methods An integrated analysis was performed using patient data from four trials meeting prespecified eligibility criteria: two using VRD (PETHEMA GEM2012 and IFM 2009) and two using VTD (PETHEMA GEM2005 and IFM 2013-04). Results The primary endpoint was met, with VRD demonstrating a noninferior rate of at least very good partial response (≥ VGPR) after induction vs VTD. GEM comparison demonstrated improvement in the ≥ VGPR rate after induction for VRD vs VTD (66.3% vs 51.2%; P = .00281) that increased after transplant (74.4% vs 53.5%). Undetectable minimal residual disease rates post induction (46.7% vs 34.9%) and post transplant (62.4% vs 47.3%) support the benefit of VRD vs VTD. Treatment-emergent adverse events leading to study and/or treatment discontinuation were less frequent with VRD (3%, GEM2012; 6%, IFM 2009) vs VTD (11%, IFM 2013-04). Conclusion These results supported the benefit of VRD over VTD for induction in transplant-eligible patients with NDMM. The trials included are registered with ClinicalTrials.gov (NCT01916252, NCT01191060, NCT00461747, and NCT01971658).
Collapse
Affiliation(s)
- Laura Rosiñol
- Department of Hematology, Hospital Clínic Institut d’investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Benjamin Hebraud
- Hematology Department, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Albert Oriol
- Institut Català d’Oncologia I Institut Josep Carreras, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Anne-Laurène Colin
- Service de Pharmacologie Médicale et Clinique, Centre Hospitalier et Universitaire de Toulouse, Toulouse, France
| | - Rafael Ríos Tamayo
- Department of Hematology, Hospital Universitario Puerta de Hierro, Majadahonda, Spain
| | - Cyrille Hulin
- Department of Hematology, Hôpital Haut-Lévêque, Bordeaux Pessac, France
| | | | | | - Anna Sureda
- Institut Català d’Oncologia-Hospitalet i Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Universitat de Barcelona, Barcelona, Spain
| | | | - Bertrand Arnulf
- Centre Hospitalier Universitaire, Hôpital St-Louis, Paris, France
| | - Maria-Victoria Mateos
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Salamanca, Spain
| | - Margaret Macro
- Institut d’Hématologie de Basse Normandie, Centre Hospitalier et Universitaire de Caen, Caen, France
| | - Jesús San-Miguel
- Clínica Universidad de Navarra (CUN), Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Pamplona, Spain
| | - Karim Belhadj
- Lymphoid Malignancies Unit, Centre Hospitalier et Universitaire Henri Mondor, Creteil, France
| | - Juan José Lahuerta
- Clínica Universidad de Navarra (CUN), Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Pamplona, Spain
| | | | - Joan Bladé
- Department of Hematology, Hospital Clínic Institut d’investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Philippe Moreau
- Department of Hematology, University Hospital Hôtel-Dieu, Nantes, France
| |
Collapse
|
43
|
Mohty M, Avet-Loiseau H, Malard F, Harousseau JL. Potential future direction of measurable residual disease evaluation in multiple myeloma. Blood 2023; 142:1509-1517. [PMID: 37471603 DOI: 10.1182/blood.2023020284] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 07/22/2023] Open
Abstract
Multiple myeloma remains an incurable disease plagued by high relapse rates. Deeper and more sustainable responses, however, have been consistently shown to improve outcomes and could eventually pave the way to achieving a cure. Our understanding of disease response has surpassed complete response (CR), because the current definitions are suboptimal, and the treatment goal should aim even beyond stringent CR, toward molecular and flow CR, that is, measurable residual disease (MRD) negativity. It has been more than 20 years since the discrepancy in the outcome between patients in CR with and without MRD has been demonstrated, and the field has come a long way from multiparameter flow cytometry to next-generation flow and next-generation sequencing, able to detect up to a limit of detection of a single myeloma cell from 1 million healthy counterparts. This review aims to summarize the current available data regarding MRD but also its potential future use as a coprimary outcome both in clinical and trial settings as a survival surrogate as well as its use to evaluate treatment efficacy and for adaptive response-based and early-rescue therapy. Furthermore, we discuss whether these concepts are applicable in different settings (eg, newly diagnosed and relapsed/refractory myeloma, patients who are eligible and ineligible for tansplant, and standard- and high-risk disease).
Collapse
Affiliation(s)
- Mohamad Mohty
- UMRS 938, Saint-Antoine Research Center, INSERM, Sorbonne University, Paris, France
- Clinical Hematology and Cellular Therapy Department, Saint Antoine Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Hervé Avet-Loiseau
- Cancer Research Center of Toulouse, INSERM, Myeloma Genomics Lab University Cancer Institute Toulouse Oncopole, Toulouse, France
- Université Paul Sabatier, Toulouse, France
| | - Florent Malard
- UMRS 938, Saint-Antoine Research Center, INSERM, Sorbonne University, Paris, France
- Clinical Hematology and Cellular Therapy Department, Saint Antoine Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Jean-Luc Harousseau
- Centre René Gauducheau, Institut de Cancérologie de l'Ouest, Nantes-St Herblain, France
| |
Collapse
|
44
|
Rosiñol L, Oriol A, Ríos R, Blanchard MJ, Jarque I, Bargay J, Hernández MT, Cabañas V, Carrillo-Cruz E, Sureda A, Martínez-López J, Krsnik I, González ME, Casado LF, Martí JM, Encinas C, de Arriba F, Palomera L, Sampol A, González-Montes Y, Cabezudo E, Paiva B, Puig N, Cedena MT, de la Cruz J, Mateos MV, San Miguel J, Lahuerta JJ, Bladé J. Lenalidomide and dexamethasone maintenance with or without ixazomib, tailored by residual disease status in myeloma. Blood 2023; 142:1518-1528. [PMID: 37506339 DOI: 10.1182/blood.2022019531] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
From November 2014 to May 2017, 332 patients homogeneously treated with bortezomib, lenalidomide, and dexamethasone (VRD) induction, autologous stem cell transplant, and VRD consolidation were randomly assigned to receive maintenance therapy with lenalidomide and dexamethasone (RD; 161 patients) vs RD plus ixazomib (IRD; 171 patients). RD consisted of lenalidomide 15 mg/d from days 1 to 21 plus dexamethasone 20 mg/d on days 1 to 4 and 9 to 12 at 4-week intervals, whereas in the IRD arm, oral ixazomib at a dose of 4 mg on days 1, 8, and 15 was added. Therapy for patients with negative measurable residual disease (MRD) after 24 cycles was discontinued, whereas those who tested positive for MRD remained on maintenance with RD for 36 more cycles. After a median follow-up of 69 months from the initiation of maintenance, the progression-free survival (PFS) was similar in both arms, with a 6-year PFS rate of 61.3% and 55.6% for RD and IRD, respectively (hazard ratio, 1.136; 95% confidence interval, 0.809-1.603). After 2 years of maintenance, treatment was discontinued in 163 patients with negative MRD, whereas 63 patients with positive MRD continued with RD therapy. Maintenance discontinuation in patients tested negative for MRD resulted in a low progression rate (17.2% at 4 years), even in patients with high-risk features. In summary, our results show the efficacy of RD maintenance and support the safety of maintenance therapy discontinuation in patients with negative MRD at 2 years. This trial was registered at www.clinicaltrials.gov as #NCT02406144 and at EudraCT as 2014-00055410.
Collapse
Affiliation(s)
- Laura Rosiñol
- Hospital Clinic de Barcelona, Insitut d'Investigacions Biomèdiques August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Albert Oriol
- Hematology Department, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Rafael Ríos
- Hematology Department, Hospital Universitario Virgen de las Nieves, Granada, Spain
| | | | - Isidro Jarque
- Hematology Department, Hospital Universitari i Politècnic La Fe, Centro de Investigación Biomédica en Red de Cancer, Valencia, Spain
| | - Joan Bargay
- Hematology Department, Hospital Universitario Son Llatzer, Palma de Mallorca, Spain
| | | | - Valentín Cabañas
- Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Murcia, Spain
| | - Estrella Carrillo-Cruz
- Department of Hematology, University Hospital Virgen del Rocío, Instituto de Biomedicina de Sevilla, Sevilla, Spain
| | - Anna Sureda
- Hospital Duran i Reynals, Institut Català d'OncologiaI L'Hospitalet, Institut d'Investigació Biomèdica de Bellvitge, Universitat de Barcelona, Hospitalet de Llobregat, Barcelona, Spain
| | - Joaquín Martínez-López
- Hospital Universitario 12 de Octubre, Complutense University, Centro Nacional de Investigaciones Oncológicas, Madrid, Spain
| | - Isabel Krsnik
- Hematology Department, Hospital Universitario Puerta de Hierro, Majadahonda, Spain
| | | | - Luis Felipe Casado
- Hematology Department, Hospital General Universitario de Toledo, Toledo, Spain
| | - Josep María Martí
- Hematology Department, Hospital Universitario Mútua de Terrassa, Terrassa, Spain
| | - Cristina Encinas
- Hematology Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Felipe de Arriba
- Hospital Universitario Morales Messeguer, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Universidad de Murcia, Murcia, Spain
| | - Luis Palomera
- Hematology Department, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | - Antonia Sampol
- Hematology Department, Complejo Asistencial Son Espases, Palma de Mallorca, Spain
| | | | - Elena Cabezudo
- Hospital Althaia, Xarxa Assistencial de Manresa, Manresa, Spain
| | - Bruno Paiva
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, Cancer Center Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Cancer, Pamplona, Spain
| | - Noemí Puig
- University Hospital of Salamanca, Centro de Investigación Biomédica en Red de Cancer, Center for Cancer Research-Instituto Universitario de Biología Molecular y Celular del Cáncer, Salamanca, Spain
| | | | - Javier de la Cruz
- Instituto de investigación i+12, Hospital Universitario 12 de Octubre, Red de Salud Materno Infantilal y del Desarrollo-Insituto de Salud Carlos III, Madrid, Spain
| | - María-Victoria Mateos
- University Hospital of Salamanca, Centro de Investigación Biomédica en Red de Cancer, Center for Cancer Research-Instituto Universitario de Biología Molecular y Celular del Cáncer, Salamanca, Spain
| | - Jesús San Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, Cancer Center Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Cancer, Pamplona, Spain
| | - Juan José Lahuerta
- Hospital Universitario 12 de Octubre, Complutense University, Centro Nacional de Investigaciones Oncológicas, Madrid, Spain
| | - Joan Bladé
- Hospital Clinic de Barcelona, Insitut d'Investigacions Biomèdiques August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| |
Collapse
|
45
|
Wijnands C, Noori S, Donk NWCJVD, VanDuijn MM, Jacobs JFM. Advances in minimal residual disease monitoring in multiple myeloma. Crit Rev Clin Lab Sci 2023; 60:518-534. [PMID: 37232394 DOI: 10.1080/10408363.2023.2209652] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/07/2023] [Accepted: 04/28/2023] [Indexed: 05/27/2023]
Abstract
Multiple myeloma (MM) is characterized by the clonal expansion of plasma cells and the excretion of a monoclonal immunoglobulin (M-protein), or fragments thereof. This biomarker plays a key role in the diagnosis and monitoring of MM. Although there is currently no cure for MM, novel treatment modalities such as bispecific antibodies and CAR T-cell therapies have led to substantial improvement in survival. With the introduction of several classes of effective drugs, an increasing percentage of patients achieve a complete response. This poses new challenges to traditional electrophoretic and immunochemical M-protein diagnostics because these methods lack sensitivity to monitor minimal residual disease (MRD). In 2016, the International Myeloma Working Group (IMWG) expanded their disease response criteria with bone marrow-based MRD assessment using flow cytometry or next-generation sequencing in combination with imaging-based disease monitoring of extramedullary disease. MRD status is an important independent prognostic marker and its potential as a surrogate endpoint for progression-free survival is currently being studied. In addition, numerous clinical trials are investigating the added clinical value of MRD-guided therapy decisions in individual patients. Because of these novel clinical applications, repeated MRD evaluation is becoming common practice in clinical trials as well as in the management of patients outside clinical trials. In response to this, novel mass spectrometric methods that have been developed for blood-based MRD monitoring represent attractive minimally invasive alternatives to bone marrow-based MRD evaluation. This paves the way for dynamic MRD monitoring to allow the detection of early disease relapse, which may prove to be a crucial factor in facilitating future clinical implementation of MRD-guided therapy. This review provides an overview of state-of-the-art of MRD monitoring, describes new developments and applications of blood-based MRD monitoring, and suggests future directions for its successful integration into the clinical management of MM patients.
Collapse
Affiliation(s)
- Charissa Wijnands
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Somayya Noori
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | | | - Martijn M VanDuijn
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Joannes F M Jacobs
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| |
Collapse
|
46
|
Bar N, Firestone RS, Usmani SZ. Aiming for the cure in myeloma: Putting our best foot forward. Blood Rev 2023; 62:101116. [PMID: 37596172 DOI: 10.1016/j.blre.2023.101116] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 07/12/2023] [Accepted: 07/13/2023] [Indexed: 08/20/2023]
Abstract
Frontline therapy for multiple myeloma (MM) is evolving to include novel combinations that can achieve unprecedented deep response rates. Several treatment strategies exist, varying in induction regimen composition, use of transplant and or consolidation and maintenance. In this sea of different treatment permutations, the overarching theme is the powerful prognostic factors of disease risk and achievement of minimal residual disease (MRD) negativity. MM has significant inter-patient variability that requires treatment to be individualized. Risk-adapted and response-adapted strategies which are increasingly being explored to define the extent and duration of therapy, and eventually aim for functional curability. In addition, with T-cell redirection therapies rapidly revolutionizing myeloma treatments, the current standard of care for myeloma will change. This review analyzes the current relevant literature in upfront therapy for fit myeloma patients and provides suggestions for treatment approach while novel clinical trials are maturing.
Collapse
Affiliation(s)
- Noffar Bar
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine University, New Haven, CT, USA.
| | - Ross S Firestone
- Multiple Myeloma Service, Department of medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Saad Z Usmani
- Multiple Myeloma Service, Department of medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| |
Collapse
|
47
|
Nahi H, Afram G, Uttervall K, Lockmer S, Tätting L, Gahrton G, Kashif M, Alici E, Stromberg O, Klimkowska M, Lund J. Minimal residual disease status is the prognostic determinant following high-dose treatment for patients with multiple myeloma. Cancer Med 2023; 12:20736-20744. [PMID: 37921243 PMCID: PMC10709722 DOI: 10.1002/cam4.6640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/30/2023] [Accepted: 09/30/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND The presence of minimal residual disease (MRD+) following autologous stem cell transplantation (ASCT) in multiple myeloma represents a poor prognostic factor for progression-free survival (PFS) and overall survival (OS). METHODS At our department, we recommend lenalidomide maintenance for patients who are MRD+ after ASCT, while MRD-negative (MRD-) patients, after information about the national guidelines, were not advised to follow this regimen. RESULTS Out of the total 228 patients, 175 received ASCT following first-line induction (MRD- 92 (53%), MRD+ 83 (47%), at 2 months post-ASCT), while 53 underwent ASCT after second-line treatment (MRD- 27 (51%), MRD+ 26 (49%), at the same time point). Comparatively, MRD- patients who did not receive maintenance demonstrated better OS than MRD+ patients who received upfront ASCT and maintenance treatment (96% vs. 86%, p = 0.030, at 3 years). However, nonsignificant difference was found in PFS (76% vs. 62%, at 3 years). Furthermore, second-line ASCT, MRD- non-maintained patients exhibited significantly better PFS than MRD+ (71% vs. 27%, p > 0.001, at 3 years). However, OS was better but nonsignificant (96% vs. 76%, at 3 years). Fluorescence in situ hybridization (FISH) analysis was performed on 141 out of the 228 patients. Of these, 85 (60%) patients were deemed standard risk (SR), and 56 (40%) were classified as high risk (HR). In the SR cohort, MRD- patients exhibited better PFS and OS than MRD+ patients (71% vs. 59% and 100% vs. 85%, respectively). In the HR cohort, the MRD- patients showed superior PFS but similar OS compared to MRD+ patients (66% vs. 42% and 81% vs. 80%, respectively). CONCLUSIONS Our results indicate that being MRD- is a more crucial prognostic factor for the 3-year PFS and OS than the presence of high-risk cytogenetic markers or undergoing maintenance treatment. The latter appears insufficient, particularly for MRD+ patients following ASCT in the second-line setting, suggesting that these patients may require a more intensive treatment approach.
Collapse
Affiliation(s)
- Hareth Nahi
- Department of MedicineInstitution for biomedicine and clinical scienceLinköpingSweden
- Center for Hematology and Regenerative Medicine, Department of Medicine, HuddingeKarolinska InstitutetStockholmSweden
| | - Gabriel Afram
- Center for Hematology and Regenerative Medicine, Department of Medicine, HuddingeKarolinska InstitutetStockholmSweden
| | - Katarina Uttervall
- Center for Hematology and Regenerative Medicine, Department of Medicine, HuddingeKarolinska InstitutetStockholmSweden
| | - Sandra Lockmer
- Center for Hematology and Regenerative Medicine, Department of Medicine, HuddingeKarolinska InstitutetStockholmSweden
| | - Love Tätting
- Department of MedicineInstitution for biomedicine and clinical scienceLinköpingSweden
| | - Gösta Gahrton
- Center for Hematology and Regenerative Medicine, Department of Medicine, HuddingeKarolinska InstitutetStockholmSweden
| | - Muhammad Kashif
- Center for Hematology and Regenerative Medicine, Department of Medicine, HuddingeKarolinska InstitutetStockholmSweden
| | - Evren Alici
- Center for Hematology and Regenerative Medicine, Department of Medicine, HuddingeKarolinska InstitutetStockholmSweden
| | | | - Monika Klimkowska
- Center for Hematology and Regenerative Medicine, Department of Medicine, HuddingeKarolinska InstitutetStockholmSweden
| | - Johan Lund
- Center for Hematology and Regenerative Medicine, Department of Medicine, HuddingeKarolinska InstitutetStockholmSweden
| |
Collapse
|
48
|
Kubicki T, Derman BA, Dytfeld D, Jakubowiak AJ. Measurable residual disease in peripheral blood in myeloma: dream or reality. Curr Opin Oncol 2023; 35:574-580. [PMID: 37621165 DOI: 10.1097/cco.0000000000000987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
PURPOSE OF REVIEW Therapeutic advancements in multiple myeloma have led to increasingly deeper and more durable responses, creating a need for highly sensitive and applicable techniques for measurable residual disease (MRD) assessment. Bone marrow assays can deeply assess for MRD, but it is not conducive to performing frequent and dynamic evaluations, which may be needed for MRD-adapted treatment approaches. Recently, numerous techniques for MRD assessment in peripheral blood have come under investigation, and their integration into routine clinical practice is eagerly anticipated. RECENT FINDINGS The identification of circulating tumor cells (CTCs), evaluation of cell-free DNA, and measuring monoclonal protein concentration with mass spectrometry are promising research areas for assessing myeloma in peripheral blood. CTCs assessment and cell-free DNA may carry prognostic significance, but they lack the sensitivity of bone marrow-based techniques. Mass spectrometry has already been implemented in clinical practice in certain centers, but its full potential has yet to be fully realized. This review focuses on recent developments in these fields, emphasizing the potential future roles of these assessments. SUMMARY MRD assessment in peripheral blood is still in the development stage but holds promise for not only complementing bone marrow based evaluations but also potential for improving sensitivity.
Collapse
|
49
|
Delgado AH, Fluxa R, Perez-Andres M, Diks AM, van Gaans-van den Brink JAM, Barkoff AM, Blanco E, Torres-Valle A, Berkowska MA, Grigore G, van Dongen J.J.M, Orfao A. Automated EuroFlow approach for standardized in-depth dissection of human circulating B-cells and plasma cells. Front Immunol 2023; 14:1268686. [PMID: 37915569 PMCID: PMC10616957 DOI: 10.3389/fimmu.2023.1268686] [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: 07/28/2023] [Accepted: 09/29/2023] [Indexed: 11/03/2023] Open
Abstract
Background Multiparameter flow cytometry (FC) immunophenotyping is a key tool for detailed identification and characterization of human blood leucocytes, including B-lymphocytes and plasma cells (PC). However, currently used conventional data analysis strategies require extensive expertise, are time consuming, and show limited reproducibility. Objective Here, we designed, constructed and validated an automated database-guided gating and identification (AGI) approach for fast and standardized in-depth dissection of B-lymphocyte and PC populations in human blood. Methods For this purpose, 213 FC standard (FCS) datafiles corresponding to umbilical cord and peripheral blood samples from healthy and patient volunteers, stained with the 14-color 18-antibody EuroFlow BIgH-IMM panel, were used. Results The BIgH-IMM antibody panel allowed identification of 117 different B-lymphocyte and PC subsets. Samples from 36 healthy donors were stained and 14 of the datafiles that fulfilled strict inclusion criteria were analysed by an expert flow cytometrist to build the EuroFlow BIgH-IMM database. Data contained in the datafiles was then merged into a reference database that was uploaded in the Infinicyt software (Cytognos, Salamanca, Spain). Subsequently, we compared the results of manual gating (MG) with the performance of two classification algorithms -hierarchical algorithm vs two-step algorithm- for AGI of the cell populations present in 5 randomly selected FCS datafiles. The hierarchical AGI algorithm showed higher correlation values vs conventional MG (r2 of 0.94 vs. 0.88 for the two-step AGI algorithm) and was further validated in a set of 177 FCS datafiles against conventional expert-based MG. For virtually all identifiable cell populations a highly significant correlation was observed between the two approaches (r2>0.81 for 79% of all B-cell populations identified), with a significantly lower median time of analysis per sample (6 vs. 40 min, p=0.001) for the AGI tool vs. MG, respectively and both intra-sample (median CV of 1.7% vs. 10.4% by MG, p<0.001) and inter-expert (median CV of 3.9% vs. 17.3% by MG by 2 experts, p<0.001) variability. Conclusion Our results show that compared to conventional FC data analysis strategies, the here proposed AGI tool is a faster, more robust, reproducible, and standardized approach for in-depth analysis of B-lymphocyte and PC subsets circulating in human blood.
Collapse
Affiliation(s)
- Alejandro H. Delgado
- Cytognos SL, Salamanca, Spain
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
| | | | - Martin Perez-Andres
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL) and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Annieck M. Diks
- Department of Immunology (IMMU), Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | | | - Elena Blanco
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL) and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Alba Torres-Valle
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL) and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Magdalena A. Berkowska
- Department of Immunology (IMMU), Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | - J .J .M. van Dongen
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Immunology (IMMU), Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Alberto Orfao
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL) and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| |
Collapse
|
50
|
Puertas B, González-Calle V, Sureda A, Moreno MJ, Oriol A, González E, Rosiñol L, López J, Escalante F, Martínez-Lopez J, Carrillo E, Clavero E, Ríos-Tamayo R, Rey-Bua B, González-Rodríguez AP, Dourdil V, de Arriba F, González S, Pérez-de-Oteyza J, Hernández MT, García-Mateo A, Bargay J, Bladé J, Lahuerta JJ, San Miguel JF, Ocio EM, Mateos MV. Randomized phase II study of weekly carfilzomib 70 mg/m 2 and dexamethasone with or without cyclophosphamide in relapsed and/or refractory multiple myeloma patients. Haematologica 2023; 108:2753-2763. [PMID: 37102598 PMCID: PMC10542845 DOI: 10.3324/haematol.2022.282490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 04/17/2023] [Indexed: 04/28/2023] Open
Abstract
In this randomized phase II study (GEM-KyCyDex, clinicaltrials gov. Identifier: NCT03336073), the combination of weekly carfilzomib 70 mg/m2, cyclophosphamide and dexamethasone (KCd) was compared to carfilzomib and dexamethasone (Kd) in relapsed/refractory multiple myeloma (RRMM) after 1-3 prior lines (PL). One hundred and ninety-seven patients were included and randomized 1:1 to receive KCd (97 patients) or Kd (100 patients) in 28-day cycles until progressive disease or unacceptable toxicity occurred. Patient median age was 70 years, and the median number of PL was one (range, 1-3). More than 90% of patients had previously been exposed to proteasome inhibitors, approximetely 70% to immunomodulators, and approximetely 50% were refractory to their last line (mainly lenalidomide) in both groups. After a median follow-up of 37 months, median progression-free survival (PFS) was 19.1 and 16.6 months in KCd and Kd, respectively (P=0.577). Of note, in the post hoc analysis of the lenalidomide-refractory population, the addition of cyclophosphamide to Kd resulted in a significant benefit in terms of PFS: 18.4 versus 11.3 months (hazard ratio =1.7, 95% confidence interval: 1.1-2.7; P=0.043). The overall response rate and the percentage of patients who achieved complete response was around 70% and 20% in both groups. The addition of cyclophosphamide to Kd did not result in any safety signal, except for severe infections (7% vs. 2%). In conclusion, the combination of cyclophosphamide with Kd 70 mg/m2 weekly does not improve outcomes as compared with Kd alone in RRMM after 1-3 PL, but a significant benefit in PFS was observed with the triplet combination in the lenalidomide-refractory population. The administration of weekly carfilzomib 70 mg/m2 was safe and convenient, and, overall, the toxicity was manageable in both arms.
Collapse
Affiliation(s)
- Borja Puertas
- Hematology Department, University Hospital of Salamanca/IBSAL/Cancer Research Center-IBMCC (USAL-CSIC), CIBERONC, Salamanca
| | - Verónica González-Calle
- Hematology Department, University Hospital of Salamanca/IBSAL/Cancer Research Center-IBMCC (USAL-CSIC), CIBERONC, Salamanca
| | - Anna Sureda
- Hematology Department, Institut Català D'Oncologia L'Hospitalet, Barcelona
| | - María José Moreno
- Hematology Department, Hospital Clínico Universitario Virgen De La Arrixaca, Murcia
| | - Albert Oriol
- Hematology Department, Institut Josep Carreras and Institut Catala d'Oncologia, Hospital Germans Trias i Pujol, Badalona
| | | | - Laura Rosiñol
- Department of Hematology, IDIBAPS, Hospital Clinic, Barcelona
| | - Jordi López
- Hematology Department, Hospital De La Santa Creu i Sant Pau, Barcelona
| | | | - Joaquín Martínez-Lopez
- Hematology Department, Hospital Universitario 12 de Octubre, Universidad Complutense, CNIO, Madrid
| | - Estrella Carrillo
- Department of Hematology, University Hospital Virgen del Rocio, Instituto de Biomedicina de Sevilla (IBIS/CISC), Sevilla
| | - Esther Clavero
- Hematology Department, Hospital Universitario Virgen De Las Nieves, Granada
| | | | - Beatriz Rey-Bua
- Hematology Department, University Hospital of Salamanca/IBSAL/Cancer Research Center-IBMCC (USAL-CSIC), CIBERONC, Salamanca
| | | | - Victoria Dourdil
- Hematology Department, Hospital Clínico Universitario Lozano Blesa, IIS Aragón, Zaragoza
| | - Felipe de Arriba
- Servicio de Hematología y Oncología Médica, Hospital Universitario Morales Meseguer, IMIB-Pascual Parrilla, Universidad de Murcia, Murcia
| | - Sonia González
- Hematology Department, Complexo Hospitalario Universitario De Santiago, Santiago de Compostela
| | | | - Miguel T. Hernández
- Hematology Department, Hospital Universitario De Canarias, San Cristóbal de La Laguna, Tenerife
| | | | - Joan Bargay
- Hematology Department, H. Universitario Son Llàtzer, IdIsBa, Mallorca
| | - Joan Bladé
- Department of Hematology, IDIBAPS, Hospital Clinic, Barcelona
| | - Juan José Lahuerta
- Hematology Department, Hospital Universitario 12 de Octubre, Universidad Complutense, CNIO, Madrid
| | - Jesús F. San Miguel
- Hematology Department, Clínica Universidad de Navarra, CIMA, IDISNA, CIBERONC, Pamplona
| | - Enrique M. Ocio
- Hematology Department, Hospital Universitario Marqués De Valdecilla (IDIVAL), Universidad De Cantabria, Santander, Spain
| | - María-Victoria Mateos
- Hematology Department, University Hospital of Salamanca/IBSAL/Cancer Research Center-IBMCC (USAL-CSIC), CIBERONC, Salamanca
| |
Collapse
|