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Kasap C, Izgutdina A, Patiño-Escobar B, Kang A, Chilakapati N, Akagi N, Johnson H, Rashid T, Werner J, Barpanda A, Geng H, Lin YHT, Rampersaud S, Gil-Alós D, Sobh A, Dupéré-Richer D, Wicaksono G, Kawehi Kelii K, Dalal R, Ramos E, Vijayanarayanan A, Salangsang F, Phojanakong P, Serrano JAC, Zakraoui O, Tariq I, Steri V, Shanmugam M, Boise LH, Kortemme T, Stieglitz E, Licht JD, Karlon WJ, Barwick BG, Wiita AP. Targeting high-risk multiple myeloma genotypes with optimized anti-CD70 CAR-T cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.24.581875. [PMID: 38463958 PMCID: PMC10925123 DOI: 10.1101/2024.02.24.581875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Despite the success of BCMA-targeting CAR-Ts in multiple myeloma, patients with high-risk cytogenetic features still relapse most quickly and are in urgent need of additional therapeutic options. Here, we identify CD70, widely recognized as a favorable immunotherapy target in other cancers, as a specifically upregulated cell surface antigen in high risk myeloma tumors. We use a structure-guided design to define a CD27-based anti-CD70 CAR-T design that outperforms all tested scFv-based CARs, leading to >80-fold improved CAR-T expansion in vivo. Epigenetic analysis via machine learning predicts key transcription factors and transcriptional networks driving CD70 upregulation in high risk myeloma. Dual-targeting CAR-Ts against either CD70 or BCMA demonstrate a potential strategy to avoid antigen escape-mediated resistance. Together, these findings support the promise of targeting CD70 with optimized CAR-Ts in myeloma as well as future clinical translation of this approach.
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Affiliation(s)
- Corynn Kasap
- Dept. of Medicine, Division of Hematology/Oncology, University of California, San Francisco, CA
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Adila Izgutdina
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | | | - Amrik Kang
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
- Medical Scientist Training Program, University of California, San Francisco, CA
| | - Nikhil Chilakapati
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Naomi Akagi
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Haley Johnson
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Tasfia Rashid
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Juwita Werner
- Dept. of Pediatrics, Division of Oncology, University of California, San Francisco, CA
| | - Abhilash Barpanda
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Huimin Geng
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Yu-Hsiu T. Lin
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Sham Rampersaud
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Daniel Gil-Alós
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
- Dept of Hematology, Hospital 12 de Octubre, Madrid, Spain
| | - Amin Sobh
- University of Florida Health Cancer Center, The University of Florida Cancer and Genetics Research Complex, Gainesville, Florida
- Division of Hematology/Oncology, The University of Florida College of Medicine, Gainesville, Florida
| | - Daphné Dupéré-Richer
- University of Florida Health Cancer Center, The University of Florida Cancer and Genetics Research Complex, Gainesville, Florida
- Division of Hematology/Oncology, The University of Florida College of Medicine, Gainesville, Florida
| | - Gianina Wicaksono
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - K.M. Kawehi Kelii
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Radhika Dalal
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA
| | - Emilio Ramos
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | | | - Fernando Salangsang
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA
| | - Paul Phojanakong
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA
| | | | - Ons Zakraoui
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA
| | - Isa Tariq
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA
| | - Veronica Steri
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA
| | - Mala Shanmugam
- Department of Hematology and Medical Oncology, Winship Cancer Institute, School of Medicine, Emory University, Atlanta, GA
| | - Lawrence H. Boise
- Department of Hematology and Medical Oncology, Winship Cancer Institute, School of Medicine, Emory University, Atlanta, GA
| | - Tanja Kortemme
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA
| | - Elliot Stieglitz
- Dept. of Pediatrics, Division of Oncology, University of California, San Francisco, CA
| | - Jonathan D. Licht
- University of Florida Health Cancer Center, The University of Florida Cancer and Genetics Research Complex, Gainesville, Florida
- Division of Hematology/Oncology, The University of Florida College of Medicine, Gainesville, Florida
| | - William J. Karlon
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
| | - Benjamin G. Barwick
- Department of Hematology and Medical Oncology, Winship Cancer Institute, School of Medicine, Emory University, Atlanta, GA
| | - Arun P. Wiita
- Dept. of Laboratory Medicine, University of California, San Francisco, CA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA
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Yan W, Xu J, Fan H, Li L, Cui J, Du C, Deng S, Sui W, Xu Y, Hao M, Anderson KC, Zou D, Qiu L, An G. Early relapse within 18 months is a powerful dynamic predictor for prognosis and could revise static risk distribution in multiple myeloma. Cancer 2024; 130:421-432. [PMID: 37846845 DOI: 10.1002/cncr.35056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/04/2023] [Accepted: 09/11/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND The duration of response to treatment is a major prognostic factor, and early relapse (ER) strongly predicts inferior survival in multiple myeloma (MM). However, the definitions of ER in MM vary from study to study and how to dynamically integrate risk distribution is still unsolved. METHODS This study evaluated these ER definitions and further investigated the underlying relationship with static risk distribution in 629 newly diagnosed MM (NDMM) patients from the National Longitudinal Cohort of Hematological Diseases in China (NCT04645199). RESULTS These data indicated that early relapse within 18 months (ER18) after initial treatment was the best time point for identifying early progression and dynamic high-risk in MM. The ER18 population (114 of 587, 19.4%) presented with more aggressive biologic features and the inferior response to treatment compared to a reference cohort (p < .001), with a significantly short median overall survival (OS) of 28.9 months. Multivariate analyses confirmed the most significant prognostic value of ER18 on OS in the context of International Staging System stage, elevated lactate dehydrogenase, thrombocytopenia, cytogenetic abnormalities, and treatment (hazard ratio, 4.467; p < .001). The authors also described the specific transitions from static risk profile to dynamic risk distribution and then constructed a mixed-risk-pattern to identify four novel populations with distinct survival (p < .001). Additionally, the authors proposed a second-state model that predicts dynamic risk changes, enabling a complementary role to the Revised International Staging System model in facilitating individualized systematic treatment. CONCLUSIONS Collectively, this study concludes that ER18 is a simple and dynamic prognostic predictor in MM. In addition to static risk assessment, dynamic risk plays an important role in survival prediction.
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Affiliation(s)
- Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences 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 Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - 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 Sciences 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 Sciences 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 Sciences 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 Sciences 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 Sciences 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 Sciences 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 Sciences 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 Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Kenneth C Anderson
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - 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 Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, 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 Sciences 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 Sciences and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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Liu J, Yan W, Fan H, Xu J, Li L, Du C, Mao X, Yan Y, Xu Y, Sui W, Deng S, Yi S, Anderson KC, Qiu L, Zou D, An G. Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment. CANCER RESEARCH COMMUNICATIONS 2023; 3:1770-1780. [PMID: 37680953 PMCID: PMC10481879 DOI: 10.1158/2767-9764.crc-23-0185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/10/2023] [Accepted: 08/11/2023] [Indexed: 09/09/2023]
Abstract
Attaining undetectable minimal residual disease (MRD) is the current therapeutic goal for multiple myeloma. But there is a current lack of data regarding the clinical benefit of autologous stem cell transplantation (ASCT) for patients with myeloma achieving early MRD-negative status after induction treatment, in addition to the interaction of longitudinal MRD status with ASCT. The current study included 407 patients with transplant-eligible multiple myeloma with available MRD status from the National Longitudinal Cohort of Hematological Diseases in China (NCT04645199), of whom 147 (34.4%) achieved early undetectable MRD and 182 (44.7%) received ASCT. Early MRD-negative status was associated with a lower risk of disease progression [HR = 0.447; 95% confidence interval (CI), 0.333-0.600; P < 0.001] and death (HR = 0.473; 95% CI, 0.320-0.700; P < 0.001). Of note, patients who achieved undetectable MRD early still benefitted from ASCT, with a remarkable improvement in the median MRD-negative duration (33.5-58.0 months, P < 0.001), progression-free survival (PFS; 46.0-88.3 months, P < 0.001), and overall survival (OS; 76.4 months to not reached, P = 0.003). These clinical benefits were more pronounced in patients with aggressive features (high-risk cytogenetic abnormalities or high tumor burden) compared with standard-risk patients. Similar results were observed in patients with detectable MRD after induction treatment. In addition, we identified four MRD-status transformation patterns following ASCT, which were strongly correlated with diverse survival outcomes (P < 0.001). Our study revealed the enhanced clinical significance of ASCT in patients with transplant-eligible myeloma, regardless of early MRD status, particularly for high-risk patients. Subsequent prospective trials are essential to validate these observations. Significance Achieving and maintaining undetectable MRD is the current treatment goal for multiple myeloma. Our results emphasized the remarkable clinical benefit of ASCT on MRD-negative duration, PFS, and OS in patients with multiple myeloma regardless of early MRD status. These favorable impacts were more evident in patients with aggressive features. Importantly, dynamic MRD monitoring among ASCT could facilitate personalized stratification of therapeutic approaches.
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Affiliation(s)
- Jiahui Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
- Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fujian Medical University Union Hospital, Fuzhou, P.R. China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Huishou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Xuehan Mao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Yuting Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Kenneth C. Anderson
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, P.R. China
- Tianjin Institutes of Health Science, Tianjin, P.R. China
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4
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Mo CC, Yee AJ, Midha S, Hartley‐Brown MA, Nadeem O, O'Donnell EK, Bianchi G, Sperling AS, Laubach JP, Richardson PG. Selinexor: Targeting a novel pathway in multiple myeloma. EJHAEM 2023; 4:792-810. [PMID: 37601856 PMCID: PMC10435704 DOI: 10.1002/jha2.709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/26/2023] [Accepted: 05/04/2023] [Indexed: 08/22/2023]
Abstract
Selinexor is an orally bioavailable selective inhibitor of nuclear export compound that inhibits exportin-1 (XPO1), a novel therapeutic target that is overexpressed in multiple myeloma (MM) and is responsible for the transport of ∼220 nuclear proteins to the cytoplasm, including tumour suppressor proteins. Inhibition of this process has demonstrated substantial antimyeloma activity in preclinical studies, both alone and in combination with established MM therapeutics. Based on a clinical trial programme encompassing multiple combination regimens, selinexor-based therapy has been approved for the treatment of relapsed/refractory MM (RRMM), with selinexor-dexamethasone approved in the later-relapse setting for penta-refractory patients and selinexor-bortezomib-dexamethasone approved for patients who have received ≥1 prior therapy. Here, we provide a comprehensive review of the clinical data on selinexor-based regimens, including recent updates from the 2022 American Society of Hematology annual meeting, and summarise ongoing studies of this novel targeted agent in newly diagnosed MM and RRMM.
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Affiliation(s)
- Clifton C. Mo
- Department of Medical OncologyDana‐Farber Cancer InstituteJerome Lipper Center for Multiple Myeloma ResearchHarvard Medical SchoolBostonMassachusettsUSA
| | - Andrew J. Yee
- Massachusetts General Cancer CenterHarvard Medical SchoolBostonMassachusettsUSA
| | - Shonali Midha
- Department of Medical OncologyDana‐Farber Cancer InstituteJerome Lipper Center for Multiple Myeloma ResearchHarvard Medical SchoolBostonMassachusettsUSA
- Division of HematologyBrigham and Women's HospitalBostonMassachusettsUSA
| | - Monique A. Hartley‐Brown
- Department of Medical OncologyDana‐Farber Cancer InstituteJerome Lipper Center for Multiple Myeloma ResearchHarvard Medical SchoolBostonMassachusettsUSA
- Division of HematologyBrigham and Women's HospitalBostonMassachusettsUSA
| | - Omar Nadeem
- Department of Medical OncologyDana‐Farber Cancer InstituteJerome Lipper Center for Multiple Myeloma ResearchHarvard Medical SchoolBostonMassachusettsUSA
| | - Elizabeth K. O'Donnell
- Department of Medical OncologyDana‐Farber Cancer InstituteJerome Lipper Center for Multiple Myeloma ResearchHarvard Medical SchoolBostonMassachusettsUSA
- Division of HematologyBrigham and Women's HospitalBostonMassachusettsUSA
| | - Giada Bianchi
- Department of Medical OncologyDana‐Farber Cancer InstituteJerome Lipper Center for Multiple Myeloma ResearchHarvard Medical SchoolBostonMassachusettsUSA
- Division of HematologyBrigham and Women's HospitalBostonMassachusettsUSA
| | - Adam S. Sperling
- Department of Medical OncologyDana‐Farber Cancer InstituteJerome Lipper Center for Multiple Myeloma ResearchHarvard Medical SchoolBostonMassachusettsUSA
- Division of HematologyBrigham and Women's HospitalBostonMassachusettsUSA
| | - Jacob P. Laubach
- Department of Medical OncologyDana‐Farber Cancer InstituteJerome Lipper Center for Multiple Myeloma ResearchHarvard Medical SchoolBostonMassachusettsUSA
| | - Paul G. Richardson
- Department of Medical OncologyDana‐Farber Cancer InstituteJerome Lipper Center for Multiple Myeloma ResearchHarvard Medical SchoolBostonMassachusettsUSA
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5
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Burgos L, Tamariz-Amador LE, Puig N, Cedena MT, Guerrero C, Jelínek T, Johnson S, Milani P, Cordon L, Perez JJ, Lasa M, Termini R, Oriol A, Hernandez MT, Palomera L, Martinez-Martinez R, de la Rubia J, de Arriba F, Rios R, Gonzalez ME, Gironella M, Cabañas V, Casanova M, Krsnik I, Perez-Montaña A, González-Calle V, Rodriguez-Otero P, Maisnar V, Hajek R, Van Rhee F, Jimenez-Zepeda V, Palladini G, Merlini G, Orfao A, de la Cruz J, Martinez-Lopez J, Lahuerta JJ, Rosiñol L, Blade J, Mateos MV, San-Miguel JF, Paiva B. Definition and Clinical Significance of the Monoclonal Gammopathy of Undetermined Significance-Like Phenotype in Patients With Monoclonal Gammopathies. J Clin Oncol 2023; 41:3019-3031. [PMID: 36930848 DOI: 10.1200/jco.22.01916] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
PURPOSE The existence of patients with multiple myeloma (MM) and light-chain (AL) amyloidosis who present with a monoclonal gammopathy of undetermined significance (MGUS)-like phenotype has been hypothesized, but methods to identify this subgroup are not standardized and its clinical significance is not properly validated. PATIENTS AND METHODS An algorithm to identify patients having MGUS-like phenotype was developed on the basis of the percentages of total bone marrow (BM) plasma cells (PC) and of clonal PC within the BM PC compartment, determined at diagnosis using flow cytometry in 548 patients with MGUS and 2,011 patients with active MM. The clinical significance of the algorithm was tested and validated in 488 patients with smoldering MM, 3,870 patients with active MM and 211 patients with AL amyloidosis. RESULTS Patients with smoldering MM with MGUS-like phenotype showed significantly lower rates of disease progression (4.5% and 0% at 2 years in two independent series). There were no statistically significant differences in time to progression between treatment versus observation in these patients. In active newly diagnosed MM, MGUS-like phenotype retained independent prognostic value in multivariate analyses of progression-free survival (PFS; hazard ratio [HR], 0.49; P = .001) and overall survival (OS; HR, 0.56; P = .039), together with International Staging System, lactate dehydrogenase, cytogenetic risk, transplant eligibility, and complete remission status. Transplant-eligible patients with active MM with MGUS-like phenotype showed PFS and OS rates at 5 years of 79% and 96%, respectively. In this subgroup, there were no differences in PFS and OS according to complete remission and measurable residual disease status. Application of the algorithm in two independent series of patients with AL predicted for different survival. CONCLUSION We developed an open-access algorithm for the identification of MGUS-like patients with distinct clinical outcomes. This phenotypic classification could become part of the diagnostic workup of MM and AL amyloidosis.
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Affiliation(s)
- Leire Burgos
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Luis-Esteban Tamariz-Amador
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Noemi Puig
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Maria-Teresa Cedena
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Camila Guerrero
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Tomas Jelínek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Sarah Johnson
- Myeloma Center/Division of Hematology Oncology/Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Paolo Milani
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | - Jose J Perez
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Marta Lasa
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Rosalinda Termini
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Albert Oriol
- Institut Català d'Oncologia and Institut Josep Carreras, Hospital Germans Trias i Pujol, Barcelona, Spain
| | | | - Luis Palomera
- Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | | | | | - Felipe de Arriba
- Hospital Morales Meseguer, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
| | - Rafael Rios
- Hospital Universitario Puerta de Hierro, Hospital, Madrid, Spain
| | | | - Mercedes Gironella
- Department of Hematology, University Hospital Vall d'Hebron, Barcelona, Spain
| | - Valentin Cabañas
- Hospital Clínico Universitario Virgen de la Arrixaca. IMIB-Arrixaca. University of Murcia, Murcia, Spain
| | - Maria Casanova
- Hematology Department, Hospital Costa del Sol Marbella, Marbella, Spain
| | - Isabel Krsnik
- Hospital Universitario Puerta de Hierro, Hospital, Madrid, Spain
| | | | - Verónica González-Calle
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Paula Rodriguez-Otero
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Vladimir Maisnar
- 4th Department of Medicine-Haematology, Charles University Hospital, Hradec Králové, Czech Republic
| | - Roman Hajek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Fritz Van Rhee
- Myeloma Center/Division of Hematology Oncology/Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Victor Jimenez-Zepeda
- Tom Baker Cancer Center, Department of Hematology, University of Calgary, Calgary, AB, Canada
| | - Giovanni Palladini
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Giampaolo Merlini
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Alberto Orfao
- Hospital Universitario de Salamanca (HUSAL), IBSAL, Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service, University of Salamanca, CIBERONC, Salamanca, Spain
| | - Javier de la Cruz
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Joaquin Martinez-Lopez
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Juan-Jose Lahuerta
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Laura Rosiñol
- Amyloidosis and Myeloma Unit. Department of Hematology. Hospital Clínic de Barcelona. IDIBAPS., Barcelona, Spain
| | - Joan Blade
- Amyloidosis and Myeloma Unit. Department of Hematology. Hospital Clínic de Barcelona. IDIBAPS., Barcelona, Spain
| | - Maria-Victoria Mateos
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Jesus F San-Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Bruno Paiva
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
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