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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.
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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.
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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.
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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.
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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.
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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
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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.
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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
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Wang L, Yi W, Ma L, Lecea E, Hazlehurst LA, Adjeroh DA, Hu G. Inflammatory Bone Marrow Mesenchymal Stem Cells in Multiple Myeloma: Transcriptional Signature and In Vitro Modeling. Cancers (Basel) 2023; 15:5148. [PMID: 37958322 PMCID: PMC10650304 DOI: 10.3390/cancers15215148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/06/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
Bone marrow mesenchymal stem cells (BM MSCs) play a tumor-supportive role in promoting drug resistance and disease relapse in multiple myeloma (MM). Recent studies have discovered a sub-population of MSCs, known as inflammatory MSCs (iMSCs), exclusive to the MM BM microenvironment and implicated in drug resistance. Through a sophisticated analysis of public expression data from unexpanded BM MSCs, we uncovered a positive association between iMSC signature expression and minimal residual disease. While in vitro expansion generally results in the loss of the iMSC signature, our meta-analysis of additional public expression data demonstrated that cytokine stimulation, including IL1-β and TNF-α, as well as immune cells such as neutrophils, macrophages, and MM cells, can reactivate the signature expression of iMSCs to varying extents. These findings underscore the importance and potential utility of cytokine stimulation in mimicking the gene expression signature of early passage of iMSCs for functional characterizations of their tumor-supportive roles in MM.
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Affiliation(s)
- Lei Wang
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
| | - Weijun Yi
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
- Lane Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA;
| | - Li Ma
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
| | - Emily Lecea
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
| | - Lori A. Hazlehurst
- WVU Cancer Institute, West Virginia University, Morgantown, WV 26506, USA;
- Department of Pharmaceutical Sciences, School of Pharmacy, West Virginia University, Morganton, WV 26506, USA
| | - Donald A. Adjeroh
- Lane Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA;
| | - Gangqing Hu
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (L.W.); (W.Y.); (L.M.); (E.L.)
- WVU Cancer Institute, West Virginia University, Morgantown, WV 26506, USA;
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Zhang J, Oak J. Challenges of detecting measurable/minimal disease in acute leukemia. Semin Diagn Pathol 2023; 40:216-220. [PMID: 37150656 DOI: 10.1053/j.semdp.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 04/10/2023] [Indexed: 05/09/2023]
Abstract
Measurable/minimal residual disease (MRD) tracking has emerged as a powerful tool for assessing treatment response and predicting outcomes in acute leukemia. However, the clinical and technological challenges associated with MRD tracking must be addressed to improve its utility in routine patient care. This review article aims to provide a summary of the different MRD methodologies used in acute leukemia. It highlights the strengths, diagnostic pitfalls, and clinical utility associated with MRD tracking in this rapidly evolving field.
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Affiliation(s)
- Jingjing Zhang
- Department of Pathology, 300 Pasteur Drive, L235, Stanford, CA 94305, United States
| | - Jean Oak
- Department of Pathology, 300 Pasteur Drive, L235, Stanford, CA 94305, United States.
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7
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Fan H, Wang W, Zhang Y, Wang J, Cheng T, Qiu L, Wang X, Xia Z, An G. Current treatment paradigm and survival outcomes among patients with newly diagnosed multiple myeloma in China: a retrospective multicenter study. Cancer Biol Med 2023; 20:j.issn.2095-3941.2022.0612. [PMID: 36647781 PMCID: PMC9843447 DOI: 10.20892/j.issn.2095-3941.2022.0612] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVE Evidence on the prognostic value of autologous stem cell transplantation (ASCT) and minimal residual disease (MRD) dynamics of patients with newly diagnosed multiple myeloma (NDMM) in China is limited. Our objective in the current study was to understand the current care paradigm and outcomes of these patients. METHODS This longitudinal cohort study used historical data from three top-tier hematologic disease care hospitals that contributed to the National Longitudinal Cohort of Hematological Diseases-Multiple Myeloma. Treatment regimens [proteasome inhibitor (PI)-, immunomodulatory drug (IMiD)-, PI+IMiD-based, and conventional], post-induction response, ASCT and MRD status, and survival outcomes [progression-free survival (PFS) and overall survival (OS)] were evaluated. RESULTS In total, 454 patients with NDMM were included (median age, 57 years; 59.0% males) with a median follow-up of 58.7 months. The overall response rate was 91.0%, 83.9%, 90.6%, and 60.9% for PI-, IMiD-, PI+IMiD-based, and conventional regimens, respectively. Patients with ASCT during first-line therapy (26.2%) had a longer PFS and OS than patients who did not receive ASCT [median PFS, 42.9 vs. 21.2 months, P < 0.001; median OS, not reached (NR) vs. 65.8 months, P < 0.001]. The median OS was NR, 71.5, and 56.6 months among patients with sustained MRD negativity, loss of MRD negativity, and persistent MRD, respectively (P < 0.001). Multivariate analysis revealed that the lactic dehydrogenase level, International Staging System stage, extra-medullary disease, and upfront ASCT were independent factors in predicting OS among NDMM patients. CONCLUSIONS Our study showed that novel agent-based regimens, first-line ASCT, and sustained MRD negativity were associated with a superior outcome for patients with NDMM in China (Identifier: NCT04645199).
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Affiliation(s)
- Huishou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Weida Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China
| | - Ya Zhang
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Jianxiang Wang
- 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
| | - Tao Cheng
- 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
| | - 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
| | - Xin Wang
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Correspondence to: Gang An, Zhongjun Xia and Xin Wang E-mail: , and
| | - Zhongjun Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China
- Correspondence to: Gang An, Zhongjun Xia and Xin Wang E-mail: , and
| | - 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
- Correspondence to: Gang An, Zhongjun Xia and Xin Wang E-mail: , and
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Cheong JK, Rajgor D, Lv Y, Chung KY, Tang YC, Cheng H. Noncoding RNome as Enabling Biomarkers for Precision Health. Int J Mol Sci 2022; 23:10390. [PMID: 36142304 PMCID: PMC9499633 DOI: 10.3390/ijms231810390] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 08/29/2022] [Accepted: 09/02/2022] [Indexed: 12/06/2022] Open
Abstract
Noncoding RNAs (ncRNAs), in the form of structural, catalytic or regulatory RNAs, have emerged to be critical effectors of many biological processes. With the advent of new technologies, we have begun to appreciate how intracellular and circulatory ncRNAs elegantly choreograph the regulation of gene expression and protein function(s) in the cell. Armed with this knowledge, the clinical utility of ncRNAs as biomarkers has been recently tested in a wide range of human diseases. In this review, we examine how critical factors govern the success of interrogating ncRNA biomarker expression in liquid biopsies and tissues to enhance our current clinical management of human diseases, particularly in the context of cancer. We also discuss strategies to overcome key challenges that preclude ncRNAs from becoming standard-of-care clinical biomarkers, including sample pre-analytics standardization, data cross-validation with closer attention to discordant findings, as well as correlation with clinical outcomes. Although harnessing multi-modal information from disease-associated noncoding RNome (ncRNome) in biofluids or in tissues using artificial intelligence or machine learning is at the nascent stage, it will undoubtedly fuel the community adoption of precision population health.
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Affiliation(s)
- Jit Kong Cheong
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117597, Singapore
- Precision Medicine Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117597, Singapore
- NUS Centre for Cancer Research, Singapore 117599, Singapore
| | | | - Yang Lv
- Precision Medicine Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117597, Singapore
| | | | | | - He Cheng
- MiRXES Lab, Singapore 138667, Singapore
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Dadzie TG, Green AC. The role of the bone microenvironment in regulating myeloma residual disease and treatment. Front Oncol 2022; 12:999939. [PMID: 36072809 PMCID: PMC9441696 DOI: 10.3389/fonc.2022.999939] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 08/08/2022] [Indexed: 11/28/2022] Open
Abstract
Multiple myeloma is an incurable haematological cancer. The increase in targeted therapies has improved the number of myeloma patients achieving a complete response and improved progression-free survival following therapy. However, a low level of disease or minimal residual disease (MRD) still persists which contributes to the inevitable relapse in myeloma patients. MRD has been attributed to the presence of dormant myeloma cells and their subsequent reactivation, which is controlled by the microenvironment and specialised niches within the bone marrow. This contributes to the evasion of the immune system and chemotherapy, eventually leading to relapse. The growth of myeloma tumours are heavily dependent on environmental stimuli from the bone marrow microenvironment, and this plays a key role in myeloma progression. The bone microenvironment also plays a critical role in myeloma bone disease and the development of skeletal-related events. This review focuses on the bone marrow microenvironment in relation to myeloma pathogenesis and cancer dormancy. Moreover, it reviews the current therapies targeting the bone microenvironment to treat myeloma and myeloma bone disease. Lastly, it identifies novel therapeutic targets for myeloma treatment and the associated bone disease.
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Ferla V, Antonini E, Perini T, Farina F, Masottini S, Malato S, Marktel S, Lupo Stanghellini MT, Tresoldi C, Ciceri F, Marcatti M. Minimal residual disease detection by next-generation sequencing in multiple myeloma: Promise and challenges for response-adapted therapy. Front Oncol 2022; 12:932852. [PMID: 36052251 PMCID: PMC9426755 DOI: 10.3389/fonc.2022.932852] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/06/2022] [Indexed: 11/18/2022] Open
Abstract
Assessment of minimal residual disease (MRD) is becoming a standard diagnostic tool for curable hematological malignancies such as chronic and acute myeloid leukemia. Multiple myeloma (MM) remains an incurable disease, as a major portion of patients even in complete response eventually relapse, suggesting that residual disease remains. Over the past decade, the treatment landscape of MM has radically changed with the introduction of new effective drugs and the availability of immunotherapy, including targeted antibodies and adoptive cell therapy. Therefore, conventional serological and morphological techniques have become suboptimal for the evaluation of depth of response. Recently, the International Myeloma Working Group (IMWG) introduced the definition of MRD negativity as the absence of clonal Plasma cells (PC) with a minimum sensitivity of <10−5 either by next-generation sequencing (NGS) using the LymphoSIGHT platform (Sequenta/Adaptative) or by next-generation flow cytometry (NGF) using EuroFlow approaches as the reference methods. While the definition of the LymphoSIGHT platform (Sequenta/Adaptive) as the standard method derives from its large use and validation in clinical studies on the prognostic value of NGS-based MRD, other commercially available options exist. Recently, the LymphoTrack assay has been evaluated in MM, demonstrating a sensitivity level of 10−5, hence qualifying as an alternative effective tool for MRD monitoring in MM. Here, we will review state-of-the-art methods for MRD assessment by NGS. We will summarize how MRD testing supports clinical trials as a useful tool in dynamic risk-adapted therapy. Finally, we will also discuss future promise and challenges of NGS-based MRD determination for clinical decision-making. In addition, we will present our real-life single-center experience with the commercially available NGS strategy LymphoTrack-MiSeq. Even with the limitation of a limited number of patients, our results confirm the LymphoTrack-MiSeq platform as a cost-effective, readily available, and standardized workflow with a sensitivity of 10−5. Our real-life data also confirm that achieving MRD negativity is an important prognostic factor in MM.
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Affiliation(s)
- Valeria Ferla
- Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milan, Italy
- *Correspondence: Valeria Ferla,
| | - Elena Antonini
- Molecular Hematology Laboratory, San Raffaele Scientific Institute, Milan, Italy
| | - Tommaso Perini
- Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milan, Italy
- Age Related Diseases Laboratory, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Farina
- Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milan, Italy
| | - Serena Masottini
- Molecular Hematology Laboratory, San Raffaele Scientific Institute, Milan, Italy
| | - Simona Malato
- Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milan, Italy
| | - Sarah Marktel
- Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milan, Italy
| | | | - Cristina Tresoldi
- Molecular Hematology Laboratory, San Raffaele Scientific Institute, Milan, Italy
| | - Fabio Ciceri
- Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milan, Italy
- University Vita-Salute San Raffaele, Milan, Italy
| | - Magda Marcatti
- Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milan, Italy
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Cho H, Shin S, Chung H, Jang JE, Kim YR, Cheong JW, Min YH, Lee ST, Choi JR, Kim JS. Real-world data on prognostic value of measurable residual disease assessment by fragment analysis or next-generation sequencing in multiple myeloma. Br J Haematol 2022; 198:503-514. [PMID: 35505579 DOI: 10.1111/bjh.18211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/07/2022] [Accepted: 04/09/2022] [Indexed: 01/12/2023]
Abstract
Measurable residual disease (MRD) negativity is a strong prognostic indicator in multiple myeloma (MM). However, the optimal use of MRD in daily clinical practice has been hampered by the limited feasibility of MRD testing. Therefore, we examined the clinical relevance of commercially available MRD modalities based on clonality assays by fragment analysis with IdentiClone® (n = 73 patients) and next-generation sequencing (NGS) with LymphoTrack® (n = 116 patients) in newly diagnosed patients with MM who received autologous stem cell transplantation (ASCT). MRD was assessed at the end of induction (pre-ASCT) and/or at 100 days after ASCT (post-ASCT). MRD could not predict survival when assessed by fragment analysis. However, NGS-based MRD negativity at pre- or post-ASCT was beneficial in terms of progression-free and overall survival. Moreover, NGS-based MRD negativity was independently associated with improved progression-free and overall survival, and MRD-positive patients both pre- and post-ASCT had worst outcome. Indeed, initial adverse prognostic features by high-risk cytogenetics could be mitigated upon achieving MRD negativity by NGS. We demonstrate the feasibility and clinical benefit of achieving MRD negativity by commercially available clonality-based MRD assays in MM and support incorporating NGS, but not fragment analysis, to tailor therapeutic strategies in real-world practice.
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Affiliation(s)
- Hyunsoo Cho
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Haerim Chung
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji Eun Jang
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yu Ri Kim
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - June-Won Cheong
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yoo Hong Min
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Seok Kim
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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