1
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Xu Z, Yu J, Chen Y. Hub genes and associated drugs for multiple myeloma with 1q21+: identified by bioinformatic analysis. Hematology 2024; 29:2323890. [PMID: 38433435 DOI: 10.1080/16078454.2024.2323890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 02/22/2024] [Indexed: 03/05/2024] Open
Abstract
While 1q21+ was common genetic alteration and found to have adverse effect on prognosis, the underlying genes remain unclear. Identification of related genes may provide additional help for rational intervention. The microarray dataset GSE2658 associated with MM was downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were obtained, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to annotate their functions. The hub genes were derived from the combined results of up-regulated DEGs and weighted gene coexpression network analysis (WGCNA). The receiver operating characteristic (ROC) curves of hub genes were plotted to evaluate correlation with 1q21+. Survival analysis and drug-gene interaction of hub genes were performed separately to find the prognostic value and potential targeted drugs. A total of 55 DEGs were identified. GO and KEGG pathway analyses suggested that the DEGs were related to several pathways of cell proliferation. NVL, IL6R, DUSP23 were proven to be highly correlated with 1q21+ and have adverse effects on prognosis. IL6R, DUSP23 were matched to known interaction-drug. This study revealed potential roles of hub genes in the pathogenesis and progression of MM with 1q21+, further investigations are needed to elucidate the mechanisms.
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Affiliation(s)
- Zhiqiang Xu
- Department of Hematology, ZhongShan Hospital Xiamen University, Xiamen, People's Republic of China
| | - Jieni Yu
- Department of Hematology, Shaoxing People's Hospital, Shaoxing, People's Republic of China
| | - Yamei Chen
- Department of Hematology, ZhongShan Hospital Xiamen University, Xiamen, People's Republic of China
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2
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Rees MJ, Kumar S. High-risk multiple myeloma: Redefining genetic, clinical, and functional high-risk disease in the era of molecular medicine and immunotherapy. Am J Hematol 2024; 99:1560-1575. [PMID: 38613829 DOI: 10.1002/ajh.27327] [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: 03/06/2024] [Revised: 03/22/2024] [Accepted: 04/02/2024] [Indexed: 04/15/2024]
Abstract
Multiple myeloma (MM) exhibits significant heterogeneity in its presentation, genetics, and treatment response. Despite therapeutic advances, some patients continue to relapse early (ER, <18-months) and rapidly cycle through therapies. Myriad prognostic factors have been identified and incorporated into risk stratification models; however, these produce discordant, often three-tiered outputs that fail to identify many patients destined for ER. Treatment strategies are increasingly focused on disease biology and trials enriched for high-risk (HR)MM, but consensus on the minimum required testing and a succinct, specific, and clinically meaningful definition for HRMM remains elusive. We review the risk-factors, definitions, and future directions for HRMM.
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Affiliation(s)
- Matthew J Rees
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | - Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
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3
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Besedina E, Supek F. Copy number losses of oncogenes and gains of tumor suppressor genes generate common driver mutations. Nat Commun 2024; 15:6139. [PMID: 39033140 PMCID: PMC11271286 DOI: 10.1038/s41467-024-50552-1] [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: 08/24/2023] [Accepted: 07/11/2024] [Indexed: 07/23/2024] Open
Abstract
Cancer driver genes can undergo positive selection for various types of genetic alterations, including gain-of-function or loss-of-function mutations and copy number alterations (CNA). We investigated the landscape of different types of alterations affecting driver genes in 17,644 cancer exomes and genomes. We find that oncogenes may simultaneously exhibit signatures of positive selection and also negative selection in different gene segments, suggesting a method to identify additional tumor types where an oncogene is a driver or a vulnerability. Next, we characterize the landscape of CNA-dependent selection effects, revealing a general trend of increased positive selection on oncogene mutations not only upon CNA gains but also upon CNA deletions. Similarly, we observe a positive interaction between mutations and CNA gains in tumor suppressor genes. Thus, two-hit events involving point mutations and CNA are universally observed regardless of the type of CNA and may signal new therapeutic opportunities. An analysis with focus on the somatic CNA two-hit events can help identify additional driver genes relevant to a tumor type. By a global inference of point mutation and CNA selection signatures and interactions thereof across genes and tissues, we identify 9 evolutionary archetypes of driver genes, representing different mechanisms of (in)activation by genetic alterations.
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Affiliation(s)
- Elizaveta Besedina
- Institute for Research in Biomedicine (IRB Barcelona), 08028, Barcelona, Spain
| | - Fran Supek
- Institute for Research in Biomedicine (IRB Barcelona), 08028, Barcelona, Spain.
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, 2200, Copenhagen, Denmark.
- Catalan Institution for Research and Advanced Studies (ICREA), 08010, Barcelona, Spain.
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4
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Schavgoulidze A, Corre J, Samur MK, Mazzotti C, Pavageau L, Perrot A, Cazaubiel T, Leleu X, Macro M, Belhadj K, Roussel M, Brechignac S, Montes L, Caillot D, Frenzel L, Rey P, Schiano de Colella JM, Chalopin T, Jacquet C, Richez V, Orsini-Piocelle F, Fontan J, Manier S, Martinet L, Sciambi A, Mohty M, Avet-Loiseau H. RAS/RAF landscape in monoclonal plasma cell conditions. Blood 2024; 144:201-205. [PMID: 38643494 DOI: 10.1182/blood.2023022295] [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: 08/22/2023] [Revised: 04/01/2024] [Accepted: 04/01/2024] [Indexed: 04/23/2024] Open
Abstract
ABSTRACT Multiple myeloma is characterized by a huge heterogeneity at the molecular level. The RAS/RAF pathway is the most frequently mutated, in ∼50% of the patients. However, these mutations are frequently subclonal, suggesting a secondary event. Because these genes are part of our routine next-generation sequencing panel, we analyzed >10 000 patients with different plasma cell disorders to describe the RAS/RAF landscape. In this large cohort of patients, almost 61% of the patients presented a RAS/RAF mutation at diagnosis or relapse, but much lower frequencies occurred in presymptomatic cases. Of note, the mutations were different from that observed in solid tumors (higher proportions of Q61 mutations). In 29 patients with 2 different mutations, we were able to perform single-cell sequencing, showing that in most cases, mutations occurred in different subclones, suggesting an ongoing mutational process. These findings suggest that the RAS/RAF pathway is not an attractive target, both on therapeutic and residual disease assessment points of view.
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Affiliation(s)
- Anais Schavgoulidze
- Myeloma Genomic Lab, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France
| | - Jill Corre
- Myeloma Genomic Lab, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France
| | | | - Celine Mazzotti
- Myeloma Genomic Lab, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France
| | - Luka Pavageau
- Myeloma Genomic Lab, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France
| | - Aurore Perrot
- Hematology Department, IUCT-Oncopole, Toulouse, France
| | | | - Xavier Leleu
- Hematology Department, University Hospital, Poitiers, France
| | - Margaret Macro
- Hematology Department, University Hospital, Caen, France
| | - Karim Belhadj
- Hematology Department, University Hospital, Creteil, France
| | | | | | - Lydia Montes
- Hematology Department, University Hospital, Amiens, France
| | - Denis Caillot
- Hematology Department, University Hospital, Dijon, France
| | | | - Philippe Rey
- Hematology Department, Centre Leon Berard, Lyon, France
| | | | | | | | | | | | - Jean Fontan
- Hematology Department, General Hospital, Besancon, France
| | - Salomon Manier
- Hematology Department, University Hospital, Lille, France
| | - Ludovic Martinet
- Myeloma Genomic Lab, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France
| | | | - Mohamad Mohty
- Hematology Department, University Hospital, Paris, France
| | - Herve Avet-Loiseau
- Myeloma Genomic Lab, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France
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5
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Bolomsky A, Ceribelli M, Scheich S, Rinaldi K, Huang DW, Chakraborty P, Pham L, Wright GW, Hsiao T, Morris V, Choi J, Phelan JD, Holewinski RJ, Andresson T, Wisniewski J, Riley D, Pittaluga S, Hill E, Thomas CJ, Muppidi J, Young RM. IRF4 requires ARID1A to establish plasma cell identity in multiple myeloma. Cancer Cell 2024; 42:1185-1201.e14. [PMID: 38906156 PMCID: PMC11233249 DOI: 10.1016/j.ccell.2024.05.026] [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: 01/12/2024] [Revised: 04/03/2024] [Accepted: 05/30/2024] [Indexed: 06/23/2024]
Abstract
Multiple myeloma (MM) is an incurable plasma cell malignancy that exploits transcriptional networks driven by IRF4. We employ a multi-omics approach to discover IRF4 vulnerabilities, integrating functional genomics screening, spatial proteomics, and global chromatin mapping. ARID1A, a member of the SWI/SNF chromatin remodeling complex, is required for IRF4 expression and functionally associates with IRF4 protein on chromatin. Deleting Arid1a in activated murine B cells disrupts IRF4-dependent transcriptional networks and blocks plasma cell differentiation. Targeting SWI/SNF activity leads to rapid loss of IRF4-target gene expression and quenches global amplification of oncogenic gene expression by MYC, resulting in profound toxicity to MM cells. Notably, MM patients with aggressive disease bear the signature of SWI/SNF activity, and SMARCA2/4 inhibitors remain effective in immunomodulatory drug (IMiD)-resistant MM cells. Moreover, combinations of SWI/SNF and MEK inhibitors demonstrate synergistic toxicity to MM cells, providing a promising strategy for relapsed/refractory disease.
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Affiliation(s)
- Arnold Bolomsky
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michele Ceribelli
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20892, USA
| | - Sebastian Scheich
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Kristina Rinaldi
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Da Wei Huang
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Papiya Chakraborty
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lisette Pham
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - George W Wright
- Biometric Research Branch, DCTD, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Tony Hsiao
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Vivian Morris
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jaewoo Choi
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - James D Phelan
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ronald J Holewinski
- Protein Mass Spectrometry Group, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21701, USA
| | - Thorkell Andresson
- Protein Mass Spectrometry Group, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21701, USA
| | - Jan Wisniewski
- Experimental Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Deanna Riley
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Stefania Pittaluga
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Elizabeth Hill
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Craig J Thomas
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20892, USA
| | - Jagan Muppidi
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ryan M Young
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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6
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Chari A, Kaufman JL, Laubach J, Sborov DW, Reeves B, Rodriguez C, Silbermann R, Costa LJ, Anderson LD, Nathwani N, Shah N, Bumma N, Holstein SA, Costello C, Jakubowiak A, Wildes TM, Orlowski RZ, Shain KH, Cowan AJ, Pei H, Cortoos A, Patel S, Lin TS, Voorhees PM, Usmani SZ, Richardson PG. Daratumumab in transplant-eligible patients with newly diagnosed multiple myeloma: final analysis of clinically relevant subgroups in GRIFFIN. Blood Cancer J 2024; 14:107. [PMID: 38977707 PMCID: PMC11231363 DOI: 10.1038/s41408-024-01088-6] [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: 02/07/2024] [Revised: 06/11/2024] [Accepted: 06/17/2024] [Indexed: 07/10/2024] Open
Abstract
The randomized, phase 2 GRIFFIN study (NCT02874742) evaluated daratumumab plus lenalidomide/bortezomib/dexamethasone (D-RVd) in transplant-eligible newly diagnosed multiple myeloma (NDMM). We present final post hoc analyses (median follow-up, 49.6 months) of clinically relevant subgroups, including patients with high-risk cytogenetic abnormalities (HRCAs) per revised definition (del[17p], t[4;14], t[14;16], t[14;20], and/or gain/amp[1q21]). Patients received 4 induction cycles (D-RVd/RVd), high-dose therapy/transplant, 2 consolidation cycles (D-RVd/RVd), and lenalidomide±daratumumab maintenance (≤ 2 years). Minimal residual disease-negativity (10-5) rates were higher for D-RVd versus RVd in patients ≥ 65 years (67.9% vs 17.9%), with HRCAs (54.8% vs 32.4%), and with gain/amp(1q21) (61.8% vs 28.6%). D-RVd showed a trend toward improved progression-free survival versus RVd (hazard ratio [95% confidence interval]) in patients ≥ 65 years (0.29 [0.06-1.48]), with HRCAs (0.38 [0.14-1.01]), and with gain/amp(1q21) (0.42 [0.14-1.27]). In the functional high-risk subgroup (not MRD negative at the end of consolidation), the hazard ratio was 0.82 (0.35-1.89). Among patients ≥ 65 years, grade 3/4 treatment-emergent adverse event (TEAE) rates were higher for D-RVd versus RVd (88.9% vs 77.8%), as were TEAEs leading to discontinuation of ≥ 1 treatment component (37.0% vs 25.9%). One D-RVd patient died due to an unrelated TEAE. These results support the addition of daratumumab to RVd in transplant-eligible patients with high-risk NDMM. Video Abstract.
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Affiliation(s)
- Ajai Chari
- Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | | | - Jacob Laubach
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Douglas W Sborov
- Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Brandi Reeves
- University of North Carolina-Department of Medicine-Chapel Hill, Chapel Hill, NC, USA
| | | | - Rebecca Silbermann
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | | | - Larry D Anderson
- Myeloma, Waldenstrӧm's and Amyloidosis Program, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA
| | - Nitya Nathwani
- Judy and Bernard Briskin Center for Multiple Myeloma Research, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Nina Shah
- University of California San Francisco, San Francisco, CA, USA
| | - Naresh Bumma
- Division of Hematology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sarah A Holstein
- Division of Oncology and Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Caitlin Costello
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | | | - Tanya M Wildes
- Division of Oncology and Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kenneth H Shain
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Andrew J Cowan
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, USA
| | - Huiling Pei
- Janssen Research & Development, LLC, Titusville, NJ, USA
| | | | | | - Thomas S Lin
- Janssen Scientific Affairs, LLC, Horsham, PA, USA
| | - Peter M Voorhees
- Levine Cancer Institute, Atrium Health Wake Forest University School of Medicine, Charlotte, NC, USA.
| | - Saad Z Usmani
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Paul G Richardson
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
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7
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Wang Y, Wang M, Chu B, Lu M, Shi L, Gao S, Chen Y, Yan Q, Ji N, Bao L. Gene mutations in newly diagnosed multiple myeloma patients detected by next-generation sequencing technology. CANCER PATHOGENESIS AND THERAPY 2024; 2:205-211. [PMID: 39027150 PMCID: PMC11252513 DOI: 10.1016/j.cpt.2023.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 12/18/2023] [Accepted: 12/29/2023] [Indexed: 07/20/2024]
Abstract
Background Multiple myeloma (MM) is a heterogeneous plasma-derived hematopoietic malignancy with complex genetic mutation contributing to the pathogenesis. Though gene sequencing has been applied in MM, genetic features from Chinese MM patients are reported less. We investigated the genetic mutation of newly diagnosed multiple myeloma (NDMM) patients and explore its correlation with cytogenetic abnormalities detected by fluorescence in situ hybridization (FISH). Methods A total of 206 patients with NDMM were enrolled. After enriching plasma cells with CD138 magnetic beads, 92 MM-related target gene mutations were detected by the Illumina sequencing platform, and six common genetic abnormalities were detected by FISH. Results 162 cases (78.6%) had at least one gene mutation detected by NDMM. The top 5 mutated genes were KRAS, NRAS, TRAF3, BRAF, and TP53. Cytogenetic abnormalities detected by FISH have a certain correlation with gene mutations, t(11;14) translocations are often accompanied by CCND1 and TP53 mutations, KLHL6 in t(4;14), SP140, CDKN1B and PRKD2 in t(14;16) and t(14;20) translocations. The mutation ratio was higher for EGR1, while lower of CCND1 in patients with gain 1q21. The TP53 mutation was more likely in patients with 17p deletion. The gene mutation affects the pathway of the RNA process is more frequently occurring in males and age less than 70 years patients. The International Staging System (ISS) Stage III correlated with gene mutations in the NK-κB pathway while Revised ISS (R-ISS) Stage III correlated with the DNA damage repair pathway. Conclusions There are various gene mutations in NDMM patients, mainly RAS/MAPK and NF-κB pathway gene pathways.
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Affiliation(s)
- Yutong Wang
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Mengzhen Wang
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Bin Chu
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Minqiu Lu
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Lei Shi
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Shan Gao
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Yuan Chen
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Qin Yan
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Na Ji
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Li Bao
- Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
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8
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Iriuchishima H, Saito A, Mihara M, Terasaki Y, Matsumoto A, Isoda A, Furukawa Y, Matsumoto M. Efficacy of daratumumab in newly diagnosed multiple myeloma patients with 1q21 gain. Int J Hematol 2024; 120:71-79. [PMID: 38551778 DOI: 10.1007/s12185-024-03760-w] [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: 08/22/2023] [Revised: 03/13/2024] [Accepted: 03/18/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Gain and amplification of 1q21 (1q21+) are adverse chromosomal aberrations of multiple myeloma (MM) that lead to refractoriness to a variety of therapies. While it is known that daratumumab, an anti-cancer monoclonal antibody, cannot overcome the disadvantage of 1q21+in relapsed/refractory MM patients, its benefit in newly diagnosed MM (NDMM) patients with 1q21+has not been clarified. PATIENTS We retrospectively evaluated 11 (55%) 1q21+patients (3 copies: 6, > 4 copies: 5) among 20 NDMM patients (median age, 74 years) who received daratumumab-containing regimens at Shibukawa Medical Center from October 2019 to October 2022. RESULTS The overall response rate was 82% for patients with 1q21+and 78% for patients without 1q21+. Median progression-free survival (PFS) and median overall survival (OS) were not reached in either group. Neither 1q21 copy number nor co-existence of other high-risk cytogenetic abnormalities significantly affected PFS or OS. CONCLUSION Our preliminary data suggests that outcomes of daratumumab treatment in NDMM 1q21+patients might be non-inferior to those in non-1q21+patients.
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Affiliation(s)
- Hirono Iriuchishima
- Department of Hematology, Shibukawa Medical Center, 383 Shiroi, Shibukawa, Gunma, Japan.
| | - Akio Saito
- Department of Hematology, Shibukawa Medical Center, 383 Shiroi, Shibukawa, Gunma, Japan
| | - Masahiro Mihara
- Department of Hematology, Shibukawa Medical Center, 383 Shiroi, Shibukawa, Gunma, Japan
| | - Yukie Terasaki
- Department of Hematology, Shibukawa Medical Center, 383 Shiroi, Shibukawa, Gunma, Japan
| | - Akira Matsumoto
- Department of Hematology, Shibukawa Medical Center, 383 Shiroi, Shibukawa, Gunma, Japan
| | - Atsushi Isoda
- Department of Hematology, Shibukawa Medical Center, 383 Shiroi, Shibukawa, Gunma, Japan
- Department of Hematology, Hoshi Clinic, Maebashi, Gunma, Japan
| | - Yusuke Furukawa
- Division of Stem Cell Regulation, Center for Molecular Medicine, Jichi Medical University, Tochigi, Japan
| | - Morio Matsumoto
- Department of Hematology, Shibukawa Medical Center, 383 Shiroi, Shibukawa, Gunma, Japan
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9
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Testa U, Pelosi E, Castelli G, Leone G. Recent Advances in The Definition of the Molecular Alterations Occurring in Multiple Myeloma. Mediterr J Hematol Infect Dis 2024; 16:e2024062. [PMID: 38984097 PMCID: PMC11232684 DOI: 10.4084/mjhid.2024.062] [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: 06/13/2024] [Accepted: 06/19/2024] [Indexed: 07/11/2024] Open
Abstract
Multiple myeloma (MM) is a disorder of the monoclonal plasma cells and is the second most common hematologic malignancy. MM initiation and progression are dependent upon complex genomic abnormalities. The current pathogenic model of MM includes two types of primary events, represented by chromosome translocations or chromosome number alterations resulting in hyperdiploidy. These primary molecular events are observed both in MM and in monoclonal gammopathy, its premalignant precursor. Subsequent genetic events allow the progression of monoclonal gammopathy to MM and, together with primary events, contribute to the genetic complexity and heterogeneity of MM. Newer therapies have considerably improved patient outcomes; however, MM remains an incurable disease and most patients experience multiple relapses. The dramatic progresses achieved in the analysis of the heterogeneous molecular features of different MM patients allowed a comprehensive molecular classification of MM and the definition of an individualized prognostic model to predict an individual MM patient's response to different therapeutic options. Despite these progresses, prognostic models fail to identify a significant proportion of patients destined to early relapse. Treatment strategies are increasingly. Based on disease biology, trials are enriched for high-risk MMs, whose careful definition and categorization requires DNA sequencing studies.
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Affiliation(s)
- Ugo Testa
- Istituto Superiore di Sanità, Roma, Italy
| | | | | | - Giuseppe Leone
- Department of Radiological and Hematological Sciences, Catholic University, Rome, Italy
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10
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Malard F, Neri P, Bahlis NJ, Terpos E, Moukalled N, Hungria VTM, Manier S, Mohty M. Multiple myeloma. Nat Rev Dis Primers 2024; 10:45. [PMID: 38937492 DOI: 10.1038/s41572-024-00529-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 06/29/2024]
Abstract
Multiple myeloma (MM) is a haematological lymphoid malignancy involving tumoural plasma cells and is usually characterized by the presence of a monoclonal immunoglobulin protein. MM is the second most common haematological malignancy, with an increasing global incidence. It remains incurable because most patients relapse or become refractory to treatments. MM is a genetically complex disease with high heterogeneity that develops as a multistep process, involving acquisition of genetic alterations in the tumour cells and changes in the bone marrow microenvironment. Symptomatic MM is diagnosed using the International Myeloma Working Group criteria as a bone marrow infiltration of ≥10% clonal plasma cells, and the presence of at least one myeloma-defining event, either standard CRAB features (hypercalcaemia, renal failure, anaemia and/or lytic bone lesions) or biomarkers of imminent organ damage. Younger and fit patients are considered eligible for transplant. They receive an induction, followed by consolidation with high-dose melphalan and autologous haematopoietic cell transplantation, and maintenance therapy. In older adults (ineligible for transplant), the combination of daratumumab, lenalidomide and dexamethasone is the preferred option. If relapse occurs and requires further therapy, the choice of therapy will be based on previous treatment and response and now includes immunotherapies, such as bi-specific monoclonal antibodies and chimeric antigen receptor T cell therapy.
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Affiliation(s)
- Florent Malard
- Sorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France.
| | - Paola Neri
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Nizar J Bahlis
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Evangelos Terpos
- Department of Clinical Therapeutics, Alexandra General Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Nour Moukalled
- Bone Marrow Transplantation Program, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | | | - Salomon Manier
- Department of Hematology, Lille University Hospital and INSERM UMR-S1277 and CNRS UMR9020, Lille, France
| | - Mohamad Mohty
- Sorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France.
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11
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Malamos P, Papanikolaou C, Gavriatopoulou M, Dimopoulos MA, Terpos E, Souliotis VL. The Interplay between the DNA Damage Response (DDR) Network and the Mitogen-Activated Protein Kinase (MAPK) Signaling Pathway in Multiple Myeloma. Int J Mol Sci 2024; 25:6991. [PMID: 39000097 PMCID: PMC11241508 DOI: 10.3390/ijms25136991] [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: 05/11/2024] [Revised: 06/18/2024] [Accepted: 06/24/2024] [Indexed: 07/16/2024] Open
Abstract
The DNA damage response (DDR) network and the mitogen-activated protein kinase (MAPK) signaling pathway are crucial mechanisms for the survival of all living beings. An accumulating body of evidence suggests that there is crosstalk between these two systems, thus favoring the appropriate functioning of multi-cellular organisms. On the other hand, aberrations within these mechanisms are thought to play a vital role in the onset and progression of several diseases, including cancer, as well as in the emergence of drug resistance. Here, we provide an overview of the current knowledge regarding alterations in the DDR machinery and the MAPK signaling pathway as well as abnormalities in the DDR/MAPK functional crosstalk in multiple myeloma, the second most common hematologic malignancy. We also present the latest advances in the development of anti-myeloma drugs targeting crucial DDR- and MAPK-associated molecular components. These data could potentially be exploited to discover new therapeutic targets and effective biomarkers as well as for the design of novel clinical trials. Interestingly, they might provide a new approach to increase the efficacy of anti-myeloma therapy by combining drugs targeting the DDR network and the MAPK signaling pathway.
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Affiliation(s)
- Panagiotis Malamos
- Institute of Chemical Biology, National Hellenic Research Foundation, 116 35 Athens, Greece; (P.M.); (C.P.)
| | - Christina Papanikolaou
- Institute of Chemical Biology, National Hellenic Research Foundation, 116 35 Athens, Greece; (P.M.); (C.P.)
| | - Maria Gavriatopoulou
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 115 28 Athens, Greece; (M.G.); (M.A.D.); (E.T.)
| | - Meletios A. Dimopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 115 28 Athens, Greece; (M.G.); (M.A.D.); (E.T.)
| | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 115 28 Athens, Greece; (M.G.); (M.A.D.); (E.T.)
| | - Vassilis L. Souliotis
- Institute of Chemical Biology, National Hellenic Research Foundation, 116 35 Athens, Greece; (P.M.); (C.P.)
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12
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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.
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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.)
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13
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Amatangelo M, Flynt E, Stong N, Ray P, Van Oekelen O, Wang M, Ortiz M, Maciag P, Peluso T, Parekh S, van de Donk NWCJ, Lonial S, Thakurta A. Pharmacodynamic changes in tumor and immune cells drive iberdomide's clinical mechanisms of activity in relapsed and refractory multiple myeloma. Cell Rep Med 2024; 5:101571. [PMID: 38776914 PMCID: PMC11228401 DOI: 10.1016/j.xcrm.2024.101571] [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: 08/23/2023] [Revised: 03/20/2024] [Accepted: 04/23/2024] [Indexed: 05/25/2024]
Abstract
Iberdomide is a next-generation cereblon (CRBN)-modulating agent in the clinical development in multiple myeloma (MM). The analysis of biomarker samples from relapsed/refractory patients enrolled in CC-220-MM-001 (ClinicalTrials.gov: NCT02773030), a phase 1/2 study, shows that iberdomide treatment induces significant target substrate degradation in tumors, including in immunomodulatory agent (IMiD)-refractory patients or those with low CRBN levels. Additionally, some patients with CRBN genetic dysregulation who responded to iberdomide have a similar median progression-free survival (PFS) (10.9 months) and duration of response (DOR) (9.5 months) to those without CRBN dysregulation (11.2 month PFS, 9.4 month DOR). Iberdomide treatment promotes a cyclical pattern of immune stimulation without causing exhaustion, inducing a functional shift in T cells toward an activated/effector memory phenotype, including in triple-class refractory patients and those receiving IMiDs as a last line of therapy. This analysis demonstrates that iberdomide's clinical mechanisms of action are driven by both its cell-autonomous effects overcoming CRBN dysregulation in MM cells, and potent immune stimulation that augments anti-tumor immunity.
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Affiliation(s)
| | - Erin Flynt
- Translational Medicine, Bristol Myers Squibb, Summit, NJ, USA
| | - Nicholas Stong
- Predictive Sciences, Bristol Myers Squibb, Summit, NJ, USA
| | - Pradipta Ray
- Data Sciences, Bristol Myers Squibb, Lawrenceville, NJ, USA
| | - Oliver Van Oekelen
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maria Wang
- Translational Research, Bristol Myers Squibb, San Diego, CA, USA
| | - Maria Ortiz
- Predictive Sciences, BMS Center for Innovation and Translational Research Europe (CITRE), A Bristol Myers Squibb Company, Sevilla, Spain
| | - Paulo Maciag
- Clinical Development, Bristol Myers Squibb, Summit, NJ, USA
| | - Teresa Peluso
- Clinical Development, Bristol Myers Squibb, Summit, NJ, USA
| | - Samir Parekh
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Niels W C J van de Donk
- Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, the Netherlands
| | - Sagar Lonial
- Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Anjan Thakurta
- Translational Medicine, Bristol Myers Squibb, Summit, NJ, USA; Oxford Translational Myeloma Centre (OTMC), Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
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14
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Mohyuddin GR, Rubinstein SM, Kumar S, Rajkumar SV, Fonseca R, Abdallah NH, Calip GS, Wang X, Parrinello CM, Sborov D. Performance of newer myeloma staging systems in a contemporary, large patient cohort. Blood Cancer J 2024; 14:95. [PMID: 38862493 PMCID: PMC11166956 DOI: 10.1038/s41408-024-01076-w] [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: 12/24/2023] [Revised: 05/17/2024] [Accepted: 05/29/2024] [Indexed: 06/13/2024] Open
Affiliation(s)
| | - Samuel M Rubinstein
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Gregory S Calip
- Titus Family Department of Clinical Pharmacy, University of Southern California, Los Angeles, CA, USA
| | | | | | - Douglas Sborov
- Huntsman Cancer Institute, University of Utah, Salt lake, UT, USA
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15
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D'Agostino M, Rota-Scalabrini D, Belotti A, Bertamini L, Arigoni M, De Sabbata G, Pietrantuono G, Pascarella A, Tosi P, Pisani F, Pescosta N, Ruggeri M, Rogers J, Olivero M, Garzia M, Galieni P, Annibali O, Monaco F, Liberati AM, Palmieri S, Stefanoni P, Zamagni E, Bruno B, Calogero RA, Boccadoro M, Musto P, Gay F. Additional copies of 1q negatively impact the outcome of multiple myeloma patients and induce transcriptomic deregulation in malignant plasma cells. Blood Cancer J 2024; 14:94. [PMID: 38849344 PMCID: PMC11161499 DOI: 10.1038/s41408-024-01075-x] [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: 01/12/2024] [Revised: 05/17/2024] [Accepted: 05/23/2024] [Indexed: 06/09/2024] Open
Abstract
Additional copies of chromosome 1 long arm (1q) are frequently found in multiple myeloma (MM) and predict high-risk disease. Available data suggest a different outcome and biology of patients with amplification (Amp1q, ≥4 copies of 1q) vs. gain (Gain1q, 3 copies of 1q) of 1q. We evaluated the impact of Amp1q/Gain1q on the outcome of newly diagnosed MM patients enrolled in the FORTE trial (NCT02203643). Among 400 patients with available 1q data, 52 (13%) had Amp1q and 129 (32%) Gain1q. After a median follow-up of 62 months, median progression-free survival (PFS) was 21.2 months in the Amp1q group, 54.9 months in Gain1q, and not reached (NR) in Normal 1q. PFS was significantly hampered by the presence of Amp1q (HR 3.34 vs. Normal 1q, P < 0.0001; HR 1.99 vs. Gain1q, P = 0.0008). Patients with Gain1q had also a significantly shorter PFS compared with Normal 1q (HR 1.68, P = 0.0031). Concomitant poor prognostic factors or the failure to achieve MRD negativity predicted a median PFS < 12 months in Amp1q patients. Carfilzomib-lenalidomide-dexamethasone plus autologous stem cell transplantation treatment improved the adverse effect of Gain1q but not Amp1q. Transcriptomic data showed that additional 1q copies were associated with deregulation in apoptosis signaling, p38 MAPK signaling, and Myc-related genes.
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Affiliation(s)
- Mattia D'Agostino
- Division of Hematology, AOU Città della Salute e della Scienza di Torino, University of Torino and Department of Molecular Biotechnology and Health Sciences, Torino, Italy
| | | | - Angelo Belotti
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Luca Bertamini
- Department of Hematology, Erasmus MC Cancer institute Rotterdam, Rotterdam, the Netherlands
| | - Maddalena Arigoni
- BGcore, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Giovanni De Sabbata
- Ematologia, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy
| | - Giuseppe Pietrantuono
- Hematology and Stem Cell Transplantation Unit, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | | | | | | | - Norbert Pescosta
- Ospedale Provinciale Bolzano, Reparto Ematologia e Centro TMO, Bolzano, Italy
| | - Marina Ruggeri
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Jennifer Rogers
- Multiple Myeloma Research Foundation (MMRF), Norwalk, CT, USA
| | | | - Mariagrazia Garzia
- Hematology and Stem Cell Transplant Unit, Az. Osp. San Camillo Forlanini, Rome, Italy
| | - Piero Galieni
- UOC Ematologia e Terapia cellulare, Ospedale C. e G. Mazzoni, Ascoli Piceno, Italy
| | - Ombretta Annibali
- Hematology, stem cell transplantation, Fondazione Policlinico Universitario Campus Bio medico di Roma, Rome, Italy
| | - Federico Monaco
- SCDU Ematologia, Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | - Anna Marina Liberati
- S.C. di Oncoematologia, AO Santa Maria di Terni/ Università degli studi di Perugia, Terni-Perugia, Italy
| | | | - Paola Stefanoni
- Division of Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italy
| | - Benedetto Bruno
- Division of Hematology, AOU Città della Salute e della Scienza di Torino, University of Torino and Department of Molecular Biotechnology and Health Sciences, Torino, Italy
| | - Raffaele Adolfo Calogero
- BGcore, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | | | - Pellegrino Musto
- Department of Precision and Regenerative Medicine and Ionian Area, "Aldo Moro" University School of Medicine, Bari, Italy
- Hematology and Stem Cell Transplantation Unit, AOU Consorziale Policlinico, Bari, Italy
| | - Francesca Gay
- Division of Hematology, AOU Città della Salute e della Scienza di Torino, University of Torino and Department of Molecular Biotechnology and Health Sciences, Torino, Italy.
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16
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Kogure Y, Handa H, Ito Y, Ri M, Horigome Y, Iino M, Harazaki Y, Kobayashi T, Abe M, Ishida T, Ito S, Iwasaki H, Kuroda J, Shibayama H, Sunami K, Takamatsu H, Tamura H, Hayashi T, Akagi K, Shinozaki T, Yoshida T, Mori I, Iida S, Maeda T, Kataoka K. ctDNA improves prognostic prediction for patients with relapsed/refractory MM receiving ixazomib, lenalidomide, and dexamethasone. Blood 2024; 143:2401-2413. [PMID: 38427753 DOI: 10.1182/blood.2023022540] [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: 10/25/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 03/03/2024] Open
Abstract
ABSTRACT It remains elusive how driver mutations, including those detected in circulating tumor DNA (ctDNA), affect prognosis in relapsed/refractory multiple myeloma (RRMM). Here, we performed targeted-capture sequencing using bone marrow plasma cells (BMPCs) and ctDNA of 261 RRMM cases uniformly treated with ixazomib, lenalidomide, and dexamethasone in a multicenter, prospective, observational study. We detected 24 and 47 recurrently mutated genes in BMPC and ctDNA, respectively. In addition to clonal hematopoiesis-associated mutations, varying proportion of driver mutations, particularly TP53 mutations (59.2% of mutated cases), were present in only ctDNA, suggesting their subclonal origin. In univariable analyses, ctDNA mutations of KRAS, TP53, DIS3, BRAF, NRAS, and ATM were associated with worse progression-free survival (PFS). BMPC mutations of TP53 and KRAS were associated with inferior PFS, whereas KRAS mutations were prognostically relevant only when detected in both BMPC and ctDNA. A total number of ctDNA mutations in the 6 relevant genes was a strong prognostic predictor (2-year PFS rates: 57.3%, 22.7%, and 0% for 0, 1, and ≥2 mutations, respectively) and independent of clinical factors and plasma DNA concentration. Using the number of ctDNA mutations, plasma DNA concentration, and clinical factors, we developed a prognostic index, classifying patients into 3 categories with 2-year PFS rates of 57.9%, 28.6%, and 0%. Serial analysis of ctDNA mutations in 94 cases revealed that TP53 and KRAS mutations frequently emerge after therapy. Thus, we clarify the genetic characteristics and clonal architecture of ctDNA mutations and demonstrate their superiority over BMPC mutations for prognostic prediction in RRMM. This study is a part of the C16042 study, which is registered at www.clinicaltrials.gov as #NCT03433001.
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Affiliation(s)
- Yasunori Kogure
- Division of Molecular Oncology, National Cancer Center Research Institute, Tokyo, Japan
| | - Hiroshi Handa
- Department of Hematology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yuta Ito
- Division of Molecular Oncology, National Cancer Center Research Institute, Tokyo, Japan
- Division of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Masaki Ri
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Yuichi Horigome
- Department of Hematology, Kitasato University School of Medicine, Sagamihara, Japan
| | - Masaki Iino
- Department of Hematology, Yamanashi Prefectural Central Hospital, Kofu, Japan
| | - Yoriko Harazaki
- Department of Hematology, Miyagi Cancer Center, Natori, Japan
| | - Takahiro Kobayashi
- Department of Hematology, Nephrology and Rheumatology, Akita University Graduate School of Medicine, Akita, Japan
| | - Masahiro Abe
- Department of Hematology, Kawashima Hospital, Tokushima, Japan
| | - Tadao Ishida
- Department of Hematology, Japanese Red Cross Medical Center, Tokyo, Japan
| | - Shigeki Ito
- Department of Hematology and Oncology, Iwate Medical University Hospital, Iwate, Japan
| | - Hiromi Iwasaki
- Department of Hematology, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Junya Kuroda
- Division of Hematology and Oncology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hirohiko Shibayama
- Department of Hematology, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Kazutaka Sunami
- Department of Hematology, National Hospital Organization Okayama Medical Center, Okayama, Japan
| | | | - Hideto Tamura
- Department of Hematology, Nippon Medical School, Tokyo, Japan
| | - Toshiaki Hayashi
- Department of Hematology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Kiwamu Akagi
- Division of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, Saitama, Japan
| | - Tomohiro Shinozaki
- Department of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science, Tokyo, Japan
| | | | - Ikuo Mori
- Takeda Pharmaceutical Company Limited, Tokyo, Japan
| | - Shinsuke Iida
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takahiro Maeda
- Division of Precision Medicine, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Keisuke Kataoka
- Division of Molecular Oncology, National Cancer Center Research Institute, Tokyo, Japan
- Division of Hematology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
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17
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Jin X, Li H, Zhang D, Liu S, Song Y, Zhang F, Li Z, Zhuang J. Myc rearrangement redefines the stratification of high-risk multiple myeloma. Cancer Med 2024; 13:e7194. [PMID: 38845529 PMCID: PMC11157166 DOI: 10.1002/cam4.7194] [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: 08/09/2023] [Revised: 02/19/2024] [Accepted: 02/26/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND Myc rearrangement (Myc-R) is a controversial factor linked to adverse outcomes in newly diagnosed multiple myeloma (NDMM). AIMS This study aimed to evaluate the impact of Myc-R on the prognosis of NDMM patients and its role in risk stratification compared with traditional high-risk cytogenetic abnormalities (HRCAs). MATERIALS & METHODS A total of 417 NDMM patients enrolled from May 2009 to September 2022 were included. Fluorescence in situ hybridization (FISH) was used to detect Myc-R and other Myc abnormalities (Myc-OA). Median progression-free survival (PFS) and overall survival (OS) were analyzed using Kaplan-Meier methods and log-rank tests. Multivariate Cox regression analysis was used to identify independent risk factors. RESULTS Myc-R was identified in 13.7% of patients, while 14.6% had Myc-OA. Patients with Myc-R had significantly shorter median PFS (15.9 months) and OS (25.1 months) compared with those with Myc-OA (24.5 months PFS; 29.8 months OS) and Myc-negative (Myc-N) status (29.8 months PFS, 29.8 months OS). Myc-R was independently associated with worse PFS and OS compared to Myc-OA. Patients with Myc-R alone had inferior median PFS (15.9 months vs. 28.1 months, p = 0.032) and OS (25.1 months vs. 61.2 months, p = 0.04) compared to those with traditional single HRCA. DISCUSSION The study suggests that traditional single HRCA may not significantly impact survival in NDMM patients. However, incorporating Myc rearrangement or traditional double/triple-hit HRCAs into the risk stratification model improves its predictive value, highlighting the importance of Myc rearrangement in risk assessment. CONCLUSION Myc rearrangement is an independent adverse prognostic factor in NDMM. The incorporation of Myc rearrangement or multiple HRCAs into risk stratification models improves their prognostic value, providing a novel perspective on high-risk factors in NDMM.
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Affiliation(s)
- Xianghong Jin
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
- Department of Rare DiseasesPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Hui Li
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Dingding Zhang
- Medical Research Center, State Key laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Shuangjiao Liu
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Yuhang Song
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Fujing Zhang
- Department of Hematology, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Ziping Li
- 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
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18
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Sreedharanunni S, Singla S, Balakrishnan A, Singh A, Jamwal M, Singh N, Singh C, Jandial A, Lad D, Sharma P, Sachdeva MUS, Malhotra P, Das R. The frequency and clinical outcome of mono-hit and multi-hit TP53 aberrations in newly diagnosed multiple myeloma. Pathology 2024; 56:556-564. [PMID: 38413253 DOI: 10.1016/j.pathol.2023.12.415] [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: 08/24/2023] [Revised: 11/01/2023] [Accepted: 12/06/2023] [Indexed: 02/29/2024]
Abstract
We investigated the frequency and outcome of mono-hit and multi-hit TP53 aberrations [biallelic or ≥1 TP53 mutations (TP53mut) or TP53mut with variant allele frequency (VAF) ≥55%] in an Indian cohort of newly diagnosed multiple myeloma (NDMM) patients. We employed fluorescence insitu hybridisation (FISH; n=457) and targeted next-generation sequencing (NGS; n=244) on plasma cell-enriched samples. We also studied the impact of TP53mut in cases with and without TP53 deletions (TP53del). In our cohort with a median age of 60 years, TP53del and TP53mut were seen in 12.9% (n=59/457; 14-95% cells) and 10.2% (n=25/244; 30 variants; VAF 3.4-98.2%; median 38.2%) respectively. Mono-hit and multi-hit-TP53 aberrations were observed in 10.2% and 7.8%, respectively. Compared to TP53-wild-type (TP53wt), mono-hit and multi-hit TP53 aberrations were associated with significantly poorer progression-free survival (PFS) (22.6 vs 12.1 vs 9.5 months; p=0.004) and overall survival (OS) [not reached (NR) vs 13.1 vs 15.6 months respectively; p=0.024]. However, multi-hit TP53 did not significantly differ in OS/PFS compared to mono-hit cases. Compared to TP53wt, PFS and OS were significantly poorer in patients with TP53mut only (9.5 vs 22.6 months and 12.1 months vs NR, respectively; p=0.020/0.004). TP53mut retained its significance even in the presence of any Revised International Staging System (HR 2.1; 95% CI 1.1-3.8; p=0.015) for OS. The detection of additional cases with TP53 aberrations, as well as poor survival associated with the presence of mutation alone, supports TP53mut testing in NDMM at least in patients without TP53del and other high-risk cytogenetic abnormalities.
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Affiliation(s)
- Sreejesh Sreedharanunni
- Department of Haematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Shelly Singla
- Department of Haematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Anand Balakrishnan
- Department of Haematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Archana Singh
- Department of Haematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Manu Jamwal
- Department of Haematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Namrata Singh
- Department of Haematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Charanpreet Singh
- Department of Clinical Haematology and Medical Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Aditya Jandial
- Department of Clinical Haematology and Medical Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Deepesh Lad
- Department of Clinical Haematology and Medical Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Praveen Sharma
- Department of Haematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Man Updesh Singh Sachdeva
- Department of Haematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Pankaj Malhotra
- Department of Clinical Haematology and Medical Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Reena Das
- Department of Haematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
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19
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Rees MJ, D'Agostino M, Leypoldt LB, Kumar S, Weisel KC, Gay F. Navigating High-Risk and Ultrahigh-Risk Multiple Myeloma: Challenges and Emerging Strategies. Am Soc Clin Oncol Educ Book 2024; 44:e433520. [PMID: 38772002 DOI: 10.1200/edbk_433520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2024]
Abstract
Despite significant improvement in the outcomes of patients with newly diagnosed multiple myeloma (NDMM) with novel therapies, there is still an underserved high-risk (HR) population that experiences early disease progression and death. With the median survival crossing 10 years, we defined ultrahigh-risk (uHR)MM as MM leading to death within 24-36 months of diagnosis and HRMM as MM leading to death within 36-60 months. Several features have emerged as markers of uHRMM: the co-occurrence of two or more high-risk cytogenetic abnormalities, extramedullary disease, plasma cell leukemia and a high-risk gene expression profiling signature. The heterogeneous risk definition across trials, the few trials available designed for HR patients, and the small HR subgroups in all-comers trials make it difficult to generate recommendations with high levels of evidence. Nevertheless, regardless of treatment administered, several studies consistently showed that achieving and maintaining measurable residual disease negativity is now considered the main factor able to mitigate the adverse prognosis related to baseline features. For fit patients with HR transplant-eligible (TE) NDMM, quadruplet induction/consolidation treatment with anti-CD38 monoclonal antibodies, immunomodulatory agents, proteasome inhibitors and dexamethasone, and autologous stem-cell transplant and maintenance with, if available, at least a doublet combination could be considered the option of choice. For non-TE NDMM, considering the recent data generated and carefully reviewing those upcoming, quadruplet treatment consisting of anti-CD38 monoclonal antibodies, immunomodulatory agents, proteasome inhibitors, and dexamethasone should also be considered. Future trials integrating BCMA-directed novel generation immunotherapies hold great potential for further advancing the treatment landscape in all NDMM patients with HR disease.
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Affiliation(s)
| | - Mattia D'Agostino
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, AOU Città della Salute e della Scienza, University of Torino, Torino, Italy
| | - Lisa B Leypoldt
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN
| | - Katja C Weisel
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Francesca Gay
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, AOU Città della Salute e della Scienza, University of Torino, Torino, Italy
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20
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Liu N, Xie Z, Li H, Wang L. The numerous facets of 1q21 + in multiple myeloma: Pathogenesis, clinicopathological features, prognosis and clinical progress (Review). Oncol Lett 2024; 27:258. [PMID: 38646497 PMCID: PMC11027100 DOI: 10.3892/ol.2024.14391] [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: 11/06/2023] [Accepted: 03/08/2024] [Indexed: 04/23/2024] Open
Abstract
Multiple myeloma (MM) is a malignant neoplasm characterized by the clonal proliferation of abnormal plasma cells (PCs) in the bone marrow and recurrent cytogenetic abnormalities. The incidence of MM worldwide is on the rise. 1q21+ has been found in ~30-40% of newly diagnosed MM (NDMM) patients.1q21+ is associated with the pathophysiological mechanisms of disease progression and drug resistance in MM. In the present review, the pathogenesis and clinicopathological features of MM patients with 1q21+ were studied, the key data of 1q21+ on the prognosis of MM patients were summarized, and the clinical treatment significance of MM patients with 1q21+ was clarified, in order to provide reference for clinicians to develop treatment strategies targeting 1q21+.
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Affiliation(s)
- Na Liu
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China
| | - Zhanzhi Xie
- Sanofi China Investment Co., Ltd. Shanghai Branch, Shanghai 200000, P.R. China
| | - Hao Li
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China
| | - Luqun Wang
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China
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21
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Cui J, Liu Y, Lv R, Yan W, Xu J, Li L, Du C, Yu T, Zhang S, Deng S, Sui W, Hao M, Yi S, Zou D, Qiu L, Xu Y, An G. Fluorescence in situ hybridization reveals the evolutionary biology of minor clone of gain/amp(1q) in multiple myeloma. Leukemia 2024; 38:1299-1306. [PMID: 38609496 PMCID: PMC11147758 DOI: 10.1038/s41375-024-02237-3] [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: 11/13/2023] [Revised: 03/21/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024]
Abstract
Growing evidence suggests that gain or amplification [gain/amp(1q)] accumulates during disease progression of multiple myeloma (MM). Previous investigations have indicated that small gain/amp(1q) subclones present at the time of diagnosis may evolve into dominant clones upon MM relapse. However, the influence of a minor clone of gain/amp(1q) on MM survival, as well as the correlation between different clonal sizes of gain/amp(1q) and the chromosomal instability (CIN) of MM, remains poorly understood. In this study, we analyzed fluorescence in situ hybridization (FISH) results of 998 newly diagnosed MM (NDMM) patients. 513 patients were detected with gain/amp(1q) at diagnosis. Among these 513 patients, 55 had a minor clone (≤20%) of gain/amp(1q). Patients with a minor clone of gain/amp(1q) displayed similar survival outcomes compared to those without gain/amp(1q). Further analysis demonstrated patients with a minor clone of gain/amp(1q) exhibited a clonal architecture similar to those without gain/amp(1q). Lastly, our results showed a significant increase in the clonal size of the minor clone of gain/amp(1q), frequently observed in MM. These findings suggested that a minor clone of gain/amp(1q) might represent an earlier stage in the pathogenesis of gain/amp(1q) and propose a "two-step" process in the clonal size changes of gain/amp(1q) in MM.
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Affiliation(s)
- 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 Science & 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 Science & 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 Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & 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 Science & 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 Science & 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 Science & 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 Science & 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 Science & 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 Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - 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 Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, 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 Science & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, 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 Science & 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 Science & 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 Science & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & 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 Science & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
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22
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Pilcher WC, Yao L, Gonzalez-Kozlova E, Pita-Juarez Y, Karagkouni D, Acharya CR, Michaud ME, Hamilton M, Nanda S, Song Y, Sato K, Wang JT, Satpathy S, Ma Y, Schulman J, D'Souza D, Jayasinghe RG, Cheloni G, Bakhtiari M, Pabustan N, Nie K, Foltz JA, Saldarriaga I, Alaaeldin R, Lepisto E, Chen R, Fiala MA, Thomas BE, Cook A, Dos Santos JV, Chiang IL, Figueiredo I, Fortier J, Slade M, Oh ST, Rettig MP, Anderson E, Li Y, Dasari S, Strausbauch MA, Simon VA, Rahman AH, Chen Z, Lagana A, DiPersio JF, Rosenblatt J, Kim-Schulze S, Dhodapkar MV, Lonial S, Kumar S, Bhasin SS, Kourelis T, Vij R, Avigan D, Cho HJ, Mulligan G, Ding L, Gnjatic S, Vlachos IS, Bhasin M. A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.593193. [PMID: 38798338 PMCID: PMC11118283 DOI: 10.1101/2024.05.15.593193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Multiple Myeloma (MM) remains incurable despite advances in treatment options. Although tumor subtypes and specific DNA abnormalities are linked to worse prognosis, the impact of immune dysfunction on disease emergence and/or treatment sensitivity remains unclear. We established a harmonized consortium to generate an Immune Atlas of MM aimed at informing disease etiology, risk stratification, and potential therapeutic strategies. We generated a transcriptome profile of 1,149,344 single cells from the bone marrow of 263 newly diagnosed patients enrolled in the CoMMpass study and characterized immune and hematopoietic cell populations. Associating cell abundances and gene expression with disease progression revealed the presence of a proinflammatory immune senescence-associated secretory phenotype in rapidly progressing patients. Furthermore, signaling analyses suggested active intercellular communication involving APRIL-BCMA, potentially promoting tumor growth and survival. Finally, we demonstrate that integrating immune cell levels with genetic information can significantly improve patient stratification.
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Affiliation(s)
- William C. Pilcher
- Coultier Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Lijun Yao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Edgar Gonzalez-Kozlova
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yered Pita-Juarez
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dimitra Karagkouni
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Marina E Michaud
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Shivani Nanda
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yizhe Song
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Kazuhito Sato
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Julia T. Wang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Sarthak Satpathy
- Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA
| | - Yuling Ma
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Darwin D'Souza
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Reyka G. Jayasinghe
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Giulia Cheloni
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Mojtaba Bakhtiari
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Kai Nie
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jennifer A. Foltz
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Rania Alaaeldin
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Rachel Chen
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark A. Fiala
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Beena E Thomas
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Junia Vieira Dos Santos
- Tisch Cancer Institute, Department of Immunology and Immunotherapy, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - I-ling Chiang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Igor Figueiredo
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julie Fortier
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael Slade
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen T. Oh
- Division of Hematology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- Immunomonitoring Laboratory, Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael P. Rettig
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Ying Li
- Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Adeeb H Rahman
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zhihong Chen
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alessandro Lagana
- Tisch Cancer Institute, Department of Immunology and Immunotherapy, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John F. DiPersio
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Jacalyn Rosenblatt
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center & Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Madhav V Dhodapkar
- Department of Hematology Oncology, Emory School of Medicine, Atlanta, GA, USA
- Winship Cancer Institute, Emory School of Medicine, Atlanta, GA, USA
| | - Sagar Lonial
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta
| | | | - Swati S Bhasin
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Ravi Vij
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
| | - David Avigan
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center & Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | | | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Sacha Gnjatic
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ioannis S Vlachos
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Spatial Technologies Unit, Harvard Medical School Initiative for RNA Medicine, Boston, MA, USA
- Cancer Center & Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA
| | - Manoj Bhasin
- Coultier Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
- Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA
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23
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Mohan M, Schinke C. Risk stratification in multiple myeloma: Are we there yet? Br J Haematol 2024; 204:1585-1587. [PMID: 38616560 DOI: 10.1111/bjh.19416] [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: 03/06/2024] [Revised: 03/10/2024] [Accepted: 03/11/2024] [Indexed: 04/16/2024]
Abstract
The second revision of international staging system (R2-ISS) shows promise in patients with multiple myeloma treated with a regimen of novel agent-based induction therapy, autologous stem cell transplant and maintenance therapy, but challenges persist. This study by Alzahrani et al. underscores the importance of refining risk assessment tools for tailored treatment strategies. Commentary on: Alzahrani et al. Impact of revised international staging system 2 (R2-ISS) risk stratification on outcomes of patients with multiple myeloma receiving autologous hematopoietic stem cell transplantation. Br J Haematol 2024;204:1944-1952.
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Affiliation(s)
- Meera Mohan
- Division of Hematology/Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Science, Little Rock, Arkansas, USA
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24
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Barbieri E, Martino EA, Rivolti E, Quaresima M, Vigna E, Neri A, Morabito F, Gentile M. Anti-CD38 monoclonal antibodies in multiple myeloma with gain/amplification of chromosome arm 1q: a review of the literature. Expert Opin Biol Ther 2024; 24:365-381. [PMID: 38757726 DOI: 10.1080/14712598.2024.2357382] [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: 03/23/2024] [Accepted: 05/15/2024] [Indexed: 05/18/2024]
Abstract
INTRODUCTION Gain/amplification of 1q (+1q) represents one of the most prevalent cytogenetic abnormalities (CAs) observed in multiple myeloma (MM). Historical studies predating the advent of anti-CD38 monoclonal antibodies (moAbs) implicated + 1q in poor prognoses, prompting its integration into novel staging systems. However, with the emergence of daratumumab and isatuximab, two pivotal anti-CD38 moAbs, the landscape of MM therapy has undergone a profound transformation. AREAS COVERED This review encompasses a comprehensive analysis of diverse study methodologies, including observational investigations, clinical trials, meta-analyses, and real-world database analyses. By synthesizing these data sources, we aim to provide an overview of the current understanding of + 1q in the context of anti-CD38 moAbs therapies. EXPERT OPINION Despite the paucity of available data, evidence suggests a potential mitigating effect of daratumumab on the adverse prognostic implications of + 1q. However, this benefit seems to diminish in patients harboring ≥ 4 copies or with concurrent high-risk CAs. On the other hand, isatuximab demonstrated promising outcomes in the relapsed-refractory setting for + 1q MM patients. Nevertheless, direct comparison between the two compounds is currently challenging. The current evidence firmly supports the integration of anti-CD38 moAb-based therapies as the standard of care for + 1q patients, pending further elucidation.
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Affiliation(s)
- Emiliano Barbieri
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Elena Rivolti
- Hematology Unit, Azienda Unità Sanitaria Locale-IRCCS, Reggio Emilia, Italy
| | - Micol Quaresima
- Hematology Unit, Azienda Unità Sanitaria Locale-IRCCS, Reggio Emilia, Italy
| | - Ernesto Vigna
- Hematology Unit, Azienda Ospedaliera Annunziata, Cosenza, Italy
| | - Antonino Neri
- Scientific Directorate, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Massimo Gentile
- Hematology Unit, Azienda Ospedaliera Annunziata, Cosenza, Italy
- Department of Pharmacy, Health and Nutritional Science, University of Calabria, Rende, Italy
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25
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Medina-Herrera A, Vazquez I, Cuenca I, Rosa-Rosa JM, Ariceta B, Jimenez C, Fernandez-Mercado M, Larrayoz MJ, Gutierrez NC, Fernandez-Guijarro M, Gonzalez-Calle V, Rodriguez-Otero P, Oriol A, Rosiñol L, Alegre A, Escalante F, De La Rubia J, Teruel AI, De Arriba F, Hernandez MT, Lopez-Jimenez J, Ocio EM, Puig N, Paiva B, Lahuerta JJ, Bladé J, San Miguel JF, Mateos MV, Martinez-Lopez J, Calasanz MJ, Garcia-Sanz R. The genomic profiling of high-risk smoldering myeloma patients treated with an intensive strategy unveils potential markers of resistance and progression. Blood Cancer J 2024; 14:74. [PMID: 38684670 PMCID: PMC11059156 DOI: 10.1038/s41408-024-01053-3] [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: 11/09/2023] [Revised: 04/09/2024] [Accepted: 04/12/2024] [Indexed: 05/02/2024] Open
Abstract
Smoldering multiple myeloma (SMM) precedes multiple myeloma (MM). The risk of progression of SMM patients is not uniform, thus different progression-risk models have been developed, although they are mainly based on clinical parameters. Recently, genomic predictors of progression have been defined for untreated SMM. However, the usefulness of such markers in the context of clinical trials evaluating upfront treatment in high-risk SMM (HR SMM) has not been explored yet, precluding the identification of baseline genomic alterations leading to drug resistance. For this reason, we carried out next-generation sequencing and fluorescent in-situ hybridization studies on 57 HR and ultra-high risk (UHR) SMM patients treated in the phase II GEM-CESAR clinical trial (NCT02415413). DIS3, FAM46C, and FGFR3 mutations, as well as t(4;14) and 1q alterations, were enriched in HR SMM. TRAF3 mutations were specifically associated with UHR SMM but identified cases with improved outcomes. Importantly, novel potential predictors of treatment resistance were identified: NRAS mutations and the co-occurrence of t(4;14) plus FGFR3 mutations were associated with an increased risk of biological progression. In conclusion, we have carried out for the first time a molecular characterization of HR SMM patients treated with an intensive regimen, identifying genomic predictors of poor outcomes in this setting.
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Affiliation(s)
- A Medina-Herrera
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - I Vazquez
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - I Cuenca
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - J M Rosa-Rosa
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - B Ariceta
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - C Jimenez
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain.
| | - M Fernandez-Mercado
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - M J Larrayoz
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - N C Gutierrez
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - M Fernandez-Guijarro
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - V Gonzalez-Calle
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - P Rodriguez-Otero
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - A Oriol
- Institut Català d'Oncologia (ICO), Institut d'Investigació Josep Carreras, Hospital Germans Trias i Pujol, Barcelona, Spain
| | - L Rosiñol
- Amyloidosis and Myeloma Unit, Department of Hematology, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - A Alegre
- Hematology Department, Hospital Universitario Quirónsalud and Hospital Universitario de La Princesa, Madrid, Spain
| | - F Escalante
- Department of Hematology, Hospital Universitario de León, León, Spain
| | - J De La Rubia
- Hematology Department, University Hospital La Fe, Universidad Católica "San Vicente Mártir", CIBERONC, Valencia, Spain
| | - A I Teruel
- Hematology, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - F De Arriba
- Hospital Morales Meseguer, IMIB-Pascual Parrilla, Universidad de Murcia, Murcia, Spain
| | - M T Hernandez
- Hospital Universitario de Canarias, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - J Lopez-Jimenez
- Hematology and Hemotherapy Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - E M Ocio
- Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Universidad de Cantabria, Santander, Spain
| | - N Puig
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - B Paiva
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - J J Lahuerta
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - J Bladé
- Amyloidosis and Myeloma Unit, Department of Hematology, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - J F San Miguel
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - M V Mateos
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
| | - J Martinez-Lopez
- Hospital 12 de Octubre, Instituto de Investigación Hospital 12 de Octubre (i + 12), Centro Nacional de Investigaciones Oncológicas (CNIO), Universidad Complutense, Madrid, Spain
| | - M J Calasanz
- Cancer Center Clínica Universidad de Navarra (CCUN), Centro de Investigación Médica Aplicada (CIMA LAB Diagnostics), IDISNA, CIBERONC, Pamplona, Spain
| | - R Garcia-Sanz
- Departamento de Hematología, Hospital Universitario de Salamanca, (HUSA/IBSAL), Centro de Investigación del Cáncer-IBMCC (CSIC/USAL), CIBERONC, Salamanca, Spain
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Callander NS, Silbermann R, Kaufman JL, Godby KN, Laubach J, Schmidt TM, Sborov DW, Medvedova E, Reeves B, Dhakal B, Rodriguez C, Chhabra S, Chari A, Bal S, Anderson LD, Dholaria BR, Nathwani N, Hari P, Shah N, Bumma N, Holstein SA, Costello C, Jakubowiak A, Wildes TM, Orlowski RZ, Shain KH, Cowan AJ, Pei H, Cortoos A, Patel S, Lin TS, Giri S, Costa LJ, Usmani SZ, Richardson PG, Voorhees PM. Daratumumab-based quadruplet therapy for transplant-eligible newly diagnosed multiple myeloma with high cytogenetic risk. Blood Cancer J 2024; 14:69. [PMID: 38649340 PMCID: PMC11035596 DOI: 10.1038/s41408-024-01030-w] [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: 09/22/2023] [Revised: 02/29/2024] [Accepted: 03/05/2024] [Indexed: 04/25/2024] Open
Abstract
In the MASTER study (NCT03224507), daratumumab+carfilzomib/lenalidomide/dexamethasone (D-KRd) demonstrated promising efficacy in transplant-eligible newly diagnosed multiple myeloma (NDMM). In GRIFFIN (NCT02874742), daratumumab+lenalidomide/bortezomib/dexamethasone (D-RVd) improved outcomes for transplant-eligible NDMM. Here, we present a post hoc analysis of patients with high-risk cytogenetic abnormalities (HRCAs; del[17p], t[4;14], t[14;16], t[14;20], or gain/amp[1q21]). Among 123 D-KRd patients, 43.1%, 37.4%, and 19.5% had 0, 1, or ≥2 HRCAs. Among 120 D-RVd patients, 55.8%, 28.3%, and 10.8% had 0, 1, or ≥2 HRCAs. Rates of complete response or better (best on study) for 0, 1, or ≥2 HRCAs were 90.6%, 89.1%, and 70.8% for D-KRd, and 90.9%, 78.8%, and 61.5% for D-RVd. At median follow-up (MASTER, 31.1 months; GRIFFIN, 49.6 months for randomized patients/59.5 months for safety run-in patients), MRD-negativity rates as assessed by next-generation sequencing (10-5) were 80.0%, 86.4%, and 83.3% for 0, 1, or ≥2 HRCAs for D-KRd, and 76.1%, 55.9%, and 61.5% for D-RVd. PFS was similar between studies and superior for 0 or 1 versus ≥2 HRCAs: 36-month PFS rates for D-KRd were 89.9%, 86.2%, and 52.4%, and 96.7%, 90.5%, and 53.5% for D-RVd. These data support the use of daratumumab-containing regimens for transplant-eligible NDMM with HCRAs; however, additional strategies are needed for ultra-high-risk disease (≥2 HRCAs). Video Abstract.
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Affiliation(s)
| | - Rebecca Silbermann
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | | | - Kelly N Godby
- University of Alabama at Birmingham Hospital, Birmingham, AL, USA
| | - Jacob Laubach
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - Douglas W Sborov
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Eva Medvedova
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Brandi Reeves
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Binod Dhakal
- Division of Hematology/Oncology, Department of Medicine, Mayo Clinic Arizona, Phoenix, AZ, USA
| | | | - Saurabh Chhabra
- Division of Hematology/Oncology, Department of Medicine, Mayo Clinic Arizona, Phoenix, AZ, USA
| | - Ajai Chari
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susan Bal
- University of Alabama at Birmingham Hospital, Birmingham, AL, USA
| | - Larry D Anderson
- Myeloma, Waldenstrӧm's and Amyloidosis Program, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Nitya Nathwani
- Judy and Bernard Briskin Center for Multiple Myeloma Research, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Parameswaran Hari
- Division of Hematology/Oncology, Department of Medicine, Mayo Clinic Arizona, Phoenix, AZ, USA
| | - Nina Shah
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Naresh Bumma
- Division of Hematology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sarah A Holstein
- Division of Oncology & Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Caitlin Costello
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | | | - Tanya M Wildes
- Division of Oncology & Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kenneth H Shain
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Andrew J Cowan
- Division of Medical Oncology, University of Washington, Seattle, WA, USA
| | - Huiling Pei
- Janssen Research & Development, LLC, Titusville, NJ, USA
| | | | | | - Thomas S Lin
- Janssen Scientific Affairs, LLC, Horsham, PA, USA
| | - Smith Giri
- Division of Hematology & Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Luciano J Costa
- University of Alabama at Birmingham Hospital, Birmingham, AL, USA
| | - Saad Z Usmani
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Paul G Richardson
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Peter M Voorhees
- Levine Cancer Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA.
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27
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Tang X, Xu R, Zheng W, Zhou Y, Cui S, Wang Y. Disease-controlled multiple myeloma in a patient with 17p gain and t(4;14): A case report. Heliyon 2024; 10:e28950. [PMID: 38596106 PMCID: PMC11002686 DOI: 10.1016/j.heliyon.2024.e28950] [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: 06/08/2023] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/11/2024] Open
Abstract
Cytogenetic karyotypes such as t(4; 14), del(17p), t(14; 16), t(14; 20), and TP53 mutations are associated with high-risk multiple-myeloma (MM) and indicate poor prognosis. Therefore, cytogenetic testing is extremely important for determining prognosis of MM. However, the aberrant karyotypes reported in the current literature are incomplete. The cytogenetic karyotype 17p gain has not received widespread attention, and its relationship with MM prognosis is unknown; additionally, the prognosis of 17p gain associated with t(4; 14) has not been studied in depth. Therefore, we introduce a special case in which a patient had both 17p gain and t(4; 14). An 81-year-old woman was admitted to the Affiliated Hospital of Shandong University of Traditional Chinese Medicine for stomach discomfort. The patient had no relevant medical history. Laboratory tests, immunophenotyping, and haematological results suggested MM, and cytogenetic tests indicated 17p gain and t(4; 14) with no other abnormalities. She was treated with two different chemotherapeutic regimens and achieved very good partial response, but eventually experienced biochemical relapses after discontinuing therapy. However, she eventually achieved good disease control with a bortezomib, lenalidomide, and dexamethasone-based regimen; she has survived longer than 5 years, much longer than the 1 year reported for MM patients with t(4:14), and been progression-free more than 3 years. We use this case to explore the possible relationship between the 17p gain and prognosis of patients with MM, as well as the treatment of MM with high-risk cytogenetic karyotypes. This case enriches the clinical application of cytogenetic analysis and adds important indicators for the prognosis of MM patients.
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Affiliation(s)
- Xinyu Tang
- The First Clinical Medical College of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Ruirong Xu
- Department of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
- Institute of Hematology, Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong Provincial Health Commission Key Laboratory of Hematology of Integrated Traditional Chinese and Western Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wei Zheng
- Department of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
- Institute of Hematology, Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong Provincial Health Commission Key Laboratory of Hematology of Integrated Traditional Chinese and Western Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yanfeng Zhou
- Department of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
- Institute of Hematology, Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong Provincial Health Commission Key Laboratory of Hematology of Integrated Traditional Chinese and Western Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Siyuan Cui
- Department of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
- Institute of Hematology, Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong Provincial Health Commission Key Laboratory of Hematology of Integrated Traditional Chinese and Western Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yan Wang
- Department of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
- Institute of Hematology, Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong Provincial Health Commission Key Laboratory of Hematology of Integrated Traditional Chinese and Western Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
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28
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Neri P, Lee H, Bahlis NJ. Artificial Intelligence Individualized Risk Classifier in Multiple Myeloma. J Clin Oncol 2024; 42:1207-1210. [PMID: 38452316 DOI: 10.1200/jco.23.02781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 01/08/2024] [Accepted: 01/19/2024] [Indexed: 03/09/2024] Open
Affiliation(s)
- Paola Neri
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
| | - Holly Lee
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
| | - Nizar J Bahlis
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
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29
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Maura F, Rajanna AR, Ziccheddu B, Poos AM, Derkach A, Maclachlan K, Durante M, Diamond B, Papadimitriou M, Davies F, Boyle EM, Walker B, Hultcrantz M, Silva A, Hampton O, Teer JK, Siegel EM, Bolli N, Jackson GH, Kaiser M, Pawlyn C, Cook G, Kazandjian D, Stein C, Chesi M, Bergsagel L, Mai EK, Goldschmidt H, Weisel KC, Fenk R, Raab MS, Van Rhee F, Usmani S, Shain KH, Weinhold N, Morgan G, Landgren O. Genomic Classification and Individualized Prognosis in Multiple Myeloma. J Clin Oncol 2024; 42:1229-1240. [PMID: 38194610 PMCID: PMC11095887 DOI: 10.1200/jco.23.01277] [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: 06/14/2023] [Revised: 09/08/2023] [Accepted: 10/23/2023] [Indexed: 01/11/2024] Open
Abstract
PURPOSE Outcomes for patients with newly diagnosed multiple myeloma (NDMM) are heterogenous, with overall survival (OS) ranging from months to over 10 years. METHODS To decipher and predict the molecular and clinical heterogeneity of NDMM, we assembled a series of 1,933 patients with available clinical, genomic, and therapeutic data. RESULTS Leveraging a comprehensive catalog of genomic drivers, we identified 12 groups, expanding on previous gene expression-based molecular classifications. To build a model predicting individualized risk in NDMM (IRMMa), we integrated clinical, genomic, and treatment variables. To correct for time-dependent variables, including high-dose melphalan followed by autologous stem-cell transplantation (HDM-ASCT), and maintenance therapy, a multi-state model was designed. The IRMMa model accuracy was significantly higher than all comparator prognostic models, with a c-index for OS of 0.726, compared with International Staging System (ISS; 0.61), revised-ISS (0.572), and R2-ISS (0.625). Integral to model accuracy was 20 genomic features, including 1q21 gain/amp, del 1p, TP53 loss, NSD2 translocations, APOBEC mutational signatures, and copy-number signatures (reflecting the complex structural variant chromothripsis). IRMMa accuracy and superiority compared with other prognostic models were validated on 256 patients enrolled in the GMMG-HD6 (ClinicalTrials.gov identifier: NCT02495922) clinical trial. Individualized patient risks were significantly affected across the 12 genomic groups by different treatment strategies (ie, treatment variance), which was used to identify patients for whom HDM-ASCT is particularly effective versus patients for whom the impact is limited. CONCLUSION Integrating clinical, demographic, genomic, and therapeutic data, to our knowledge, we have developed the first individualized risk-prediction model enabling personally tailored therapeutic decisions for patients with NDMM.
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Affiliation(s)
- Francesco Maura
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Arjun Raj Rajanna
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Bachisio Ziccheddu
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Alexandra M. Poos
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit (CCU) Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andriy Derkach
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kylee Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Michael Durante
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Benjamin Diamond
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Marios Papadimitriou
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Faith Davies
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Eileen M. Boyle
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Brian Walker
- Division of Hematology Oncology, Melvin and Bren Simon Comprehensive Cancer Center, Indiana University, Indianapolis, IN
| | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ariosto Silva
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL
| | | | - Jamie K. Teer
- Department of Biostatistics & Bioinformatics, Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Erin M. Siegel
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL
| | - Niccolò Bolli
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Oncology and Onco-Hematology, University of Milan, Milan, Italy
| | - Graham H. Jackson
- Freeman Hospital, The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, United Kingdom
| | - Martin Kaiser
- The Institute of Cancer Research, London, United Kingdom
| | - Charlotte Pawlyn
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Gordon Cook
- Division of Hematology/Oncology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Dickran Kazandjian
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Caleb Stein
- Division of Hematology/Oncology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Marta Chesi
- Division of Hematology/Oncology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Leif Bergsagel
- Division of Hematology/Oncology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Elias K. Mai
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Hartmut Goldschmidt
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Katja C. Weisel
- Department of Oncology, Hematology and Blood and Marrow Transplant, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Roland Fenk
- Department of Hematology, Oncology and Clinical Immunology, University-Hospital Duesseldorf, Duesseldorf, Germany
| | - Marc S. Raab
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit (CCU) Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Fritz Van Rhee
- Myeloma Institute for Research & Therapy, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Saad Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kenneth H. Shain
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL
| | - Niels Weinhold
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit (CCU) Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Gareth Morgan
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Ola Landgren
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
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30
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Schinke C, Rasche L, Raab MS, Weinhold N. Impact of Clonal Heterogeneity in Multiple Myeloma. Hematol Oncol Clin North Am 2024; 38:461-476. [PMID: 38195308 DOI: 10.1016/j.hoc.2023.12.012] [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: 01/11/2024]
Abstract
Multiple myeloma is characterized by a highly heterogeneous disease distribution within the bone marrow-containing skeletal system. In this review, we introduce the molecular mechanisms underlying clonal heterogeneity and the spatio-temporal evolution of myeloma. We discuss the clinical impact of clonal heterogeneity, which is thought to be one of the biggest obstacles to overcome therapy resistance and to achieve cure.
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Affiliation(s)
- Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Leo Rasche
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany; Mildred Scheel Early Career Center (MSNZ), University Hospital of Würzburg, Würzburg, Germany
| | - Marc S Raab
- Department of Internal Medicine V, Heidelberg University Clinic Hospital, Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, Heidelberg University Clinic Hospital, Heidelberg, Germany.
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31
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Akkari Y, Baughn LB, Kim A, Karaca E, Raca G, Shao L, Mikhail FM. Section E6.1-6.6 of the American College of Medical Genetics and Genomics (ACMG) Technical Laboratory Standards: Cytogenomic studies of acquired chromosomal abnormalities in neoplastic blood, bone marrow, and lymph nodes. Genet Med 2024; 26:101054. [PMID: 38349293 DOI: 10.1016/j.gim.2023.101054] [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: 12/06/2023] [Accepted: 12/08/2023] [Indexed: 04/09/2024] Open
Abstract
Cytogenomic analyses of acquired clonal chromosomal abnormalities in neoplastic blood, bone marrow, and/or lymph nodes are instrumental in the clinical management of patients with hematologic neoplasms. Cytogenetic analyses assist in the diagnosis of such disorders and can provide important prognostic information. Furthermore, cytogenetic studies can provide crucial information regarding specific genetically defined subtypes of these neoplasms that may have targeted therapies. At time of relapse, cytogenetic analysis can confirm recurrence of the original neoplasm, detect clonal disease evolution, or uncover a new unrelated neoplastic process. This section deals specifically with the technical standards applicable to cytogenomic studies of acquired clonal chromosomal abnormalities in neoplastic blood, bone marrow, and/or lymph nodes. This updated Section E6.1-6.6 supersedes the previous Section E6 in Section E: Clinical Cytogenetics of the American College of Medical Genetics and Genomics Technical Standards for Clinical Genetics Laboratories.
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Affiliation(s)
- Yassmine Akkari
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
| | - Linda B Baughn
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Annette Kim
- Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Ender Karaca
- Department of Pathology, Baylor University Medical Center, Dallas, TX; Texas A&M School of Medicine, Texas A&M University, Dallas, TX
| | - Gordana Raca
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA; Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Lina Shao
- Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Fady M Mikhail
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL
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32
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Chen X, Varma G, Davies F, Morgan G. Approach to High-Risk Multiple Myeloma. Hematol Oncol Clin North Am 2024; 38:497-510. [PMID: 38195306 DOI: 10.1016/j.hoc.2023.12.008] [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: 01/11/2024]
Abstract
Improving the outcome of high-risk myeloma (HRMM) is a key therapeutic aim for the next decade. To achieve this aim, it is necessary to understand in detail the genetic drivers underlying this clinical behavior and to target its biology therapeutically. Advances have already been made, with a focus on consensus guidance and the application of novel immunotherapeutic approaches. Cases of HRMM are likely to have impaired prognosis even with novel strategies. However, if disease eradication and minimal disease states are achieved, then cure may be possible.
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Affiliation(s)
- Xiaoyi Chen
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA
| | - Gaurav Varma
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA
| | - Faith Davies
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA
| | - Gareth Morgan
- Center Blood Cancer, Perlmutter Cancer Center, New York University, NYCLangone, Room# 496, Medical Science Building 4th Floor, 540 1st Avenue, New York, NY 10016, USA.
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33
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Clarke SE, Fuller KA, Erber WN. Chromosomal defects in multiple myeloma. Blood Rev 2024; 64:101168. [PMID: 38212176 DOI: 10.1016/j.blre.2024.101168] [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: 10/06/2023] [Revised: 12/01/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024]
Abstract
Multiple myeloma is a plasma cell neoplasm driven by primary (e.g. hyperdiploidy; IGH translocations) and secondary (e.g. 1q21 gains/amplifications; del(17p); MYC translocations) chromosomal events. These are important to detect as they influence prognosis, therapeutic response and disease survival. Currently, cytogenetic testing is most commonly performed by interphase fluorescence in situ hybridisation (FISH) on aspirated bone marrow samples. A number of variations to FISH methodology are available, including prior plasma cell enrichment and incorporation of immunophenotypic plasma cell identification. Other molecular methods are increasingly being utilised to provide a genome-wide view at high resolution (e.g. single nucleotide polymorphism (SNP) microarray analysis) and these can detect abnormalities in most cases. Despite their wide application at diagnostic assessment, both FISH and SNP-array have relatively low sensitivity, limiting their use for identification of prognostically significant low-level sub-clones or for disease monitoring. Next-generation sequencing is increasingly being used to detect mutations and new FISH techniques such as by flow cytometry are in development and may address some of the current test limitations. Here we review the primary and secondary cytogenetic aberrations in myeloma and discuss the range of techniques available for their assessment.
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Affiliation(s)
- Sarah E Clarke
- School of Biomedical Sciences, The University of Western Australia (M504), Crawley, WA 6009, Australia; Department of Haematology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA 6150, Australia.
| | - Kathryn A Fuller
- School of Biomedical Sciences, The University of Western Australia (M504), Crawley, WA 6009, Australia.
| | - Wendy N Erber
- School of Biomedical Sciences, The University of Western Australia (M504), Crawley, WA 6009, Australia; PathWest Laboratory Medicine WA, Royal Perth Hospital, Perth, WA 6000, Australia.
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Iorgulescu JB, Medeiros LJ, Patel KP. Predictive and prognostic molecular biomarkers in lymphomas. Pathology 2024; 56:239-258. [PMID: 38216400 DOI: 10.1016/j.pathol.2023.12.001] [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: 12/03/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 01/14/2024]
Abstract
Recent advances in molecular diagnostics have markedly expanded our understanding of the genetic underpinnings of lymphomas and catalysed a transformation in not just how we classify lymphomas, but also how we treat, target, and monitor affected patients. Reflecting these advances, the World Health Organization Classification, International Consensus Classification, and National Comprehensive Cancer Network guidelines were recently updated to better integrate these molecular insights into clinical practice. We summarise here the molecular biomarkers of lymphomas with an emphasis on biomarkers that have well-supported prognostic and predictive utility, as well as emerging biomarkers that show promise for clinical practice. These biomarkers include: (1) diagnostic entity-defining genetic abnormalities [e.g., B-cell acute lymphoblastic leukaemia (B-ALL) with KMT2A rearrangement]; (2) molecular alterations that guide patients' prognoses (e.g., TP53 loss frequently conferring worse prognosis); (3) mutations that serve as the targets of, and often a source of acquired resistance to, small molecular inhibitors (e.g., ABL1 tyrosine kinase inhibitors for B-ALL BCR::ABL1, hindered by ABL1 kinase domain resistance mutations); (4) the growing incorporation of molecular measurable residual disease (MRD) in the management of lymphoma patients (e.g., molecular complete response and sequencing MRD-negative criteria in multiple myeloma). Altogether, our review spans the spectrum of lymphoma types, from the genetically defined subclasses of precursor B-cell lymphomas to the highly heterogeneous categories of small and large cell mature B-cell lymphomas, Hodgkin lymphomas, plasma cell neoplasms, and T/NK-cell lymphomas, and provides an expansive summary of our current understanding of their molecular pathology.
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Affiliation(s)
- J Bryan Iorgulescu
- Molecular Diagnostics Laboratory, Department of Hematopathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - L Jeffrey Medeiros
- Molecular Diagnostics Laboratory, Department of Hematopathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keyur P Patel
- Molecular Diagnostics Laboratory, Department of Hematopathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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35
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Behrens YL, Pietzsch S, Antić Ž, Zhang Y, Bergmann AK. The landscape of cytogenetic and molecular genetic methods in diagnostics for hematologic neoplasia. Best Pract Res Clin Haematol 2024; 37:101539. [PMID: 38490767 DOI: 10.1016/j.beha.2024.101539] [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: 12/05/2023] [Accepted: 01/28/2024] [Indexed: 03/17/2024]
Abstract
Improvements made during the last decades in the management of patients with hematologic neoplasia have resulted in increase of overall survival. These advancements have become possible through progress in our understanding of genetic basis of different hematologic malignancies and their role in the current risk-adapted treatment protocols. In this review, we provide an overview of current cytogenetic and molecular genetic methods, commonly used in the genetic characterization of hematologic malignancies, describe the current developments in the cytogenetic and molecular diagnostics, and give an outlook into their future development. Furthermore, we give a brief overview of the most important public databases and guidelines for sequence variant interpretation.
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Affiliation(s)
- Yvonne Lisa Behrens
- Department of Human Genetics, Hannover Medical School, 30625, Hannover, Germany
| | - Stefan Pietzsch
- Department of Human Genetics, Hannover Medical School, 30625, Hannover, Germany
| | - Željko Antić
- Department of Human Genetics, Hannover Medical School, 30625, Hannover, Germany
| | - Yanming Zhang
- Cytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anke K Bergmann
- Department of Human Genetics, Hannover Medical School, 30625, Hannover, Germany.
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36
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Terragna C, Poletti A, Solli V, Martello M, Zamagni E, Pantani L, Borsi E, Vigliotta I, Mazzocchetti G, Armuzzi S, Taurisano B, Testoni N, Marzocchi G, Kanapari A, Pistis I, Tacchetti P, Mancuso K, Rocchi S, Rizzello I, Cavo M. Multi-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features. Nat Commun 2024; 15:1551. [PMID: 38378709 PMCID: PMC10879136 DOI: 10.1038/s41467-024-45000-z] [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: 04/28/2023] [Accepted: 01/11/2024] [Indexed: 02/22/2024] Open
Abstract
The complexity of Multiple Myeloma (MM) is driven by several genomic aberrations, interacting with disease-related and/or -unrelated factors and conditioning patients' clinical outcome. Patient's prognosis is hardly predictable, as commonly employed MM risk models do not precisely partition high- from low-risk patients, preventing the reliable recognition of early relapsing/refractory patients. By a dimensionality reduction approach, here we dissect the genomic landscape of a large cohort of newly diagnosed MM patients, modelling all the possible interactions between any MM chromosomal alterations. We highlight the presence of a distinguished cluster of patients in the low-dimensionality space, with unfavorable clinical behavior, whose biology was driven by the co-occurrence of chromosomes 1q CN gain and 13 CN loss. Presence or absence of these alterations define MM patients overexpressing either CCND2 or CCND1, fostering the implementation of biology-based patients' classification models to describe the different MM clinical behaviors.
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Affiliation(s)
- Carolina Terragna
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy.
| | - Andrea Poletti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Vincenza Solli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Marina Martello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Lucia Pantani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
| | - Enrica Borsi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
| | - Ilaria Vigliotta
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Gaia Mazzocchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Silvia Armuzzi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Barbara Taurisano
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Nicoletta Testoni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Giulia Marzocchi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Ajsi Kanapari
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Ignazia Pistis
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
| | - Paola Tacchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
| | - Katia Mancuso
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Serena Rocchi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Ilaria Rizzello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Michele Cavo
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
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Thongon N, Ma F, Baran N, Lockyer P, Liu J, Jackson C, Rose A, Furudate K, Wildeman B, Marchesini M, Marchica V, Storti P, Todaro G, Ganan-Gomez I, Adema V, Rodriguez-Sevilla JJ, Qing Y, Ha MJ, Fonseca R, Stein C, Class C, Tan L, Attanasio S, Garcia-Manero G, Giuliani N, Berrios Nolasco D, Santoni A, Cerchione C, Bueso-Ramos C, Konopleva M, Lorenzi P, Takahashi K, Manasanch E, Sammarelli G, Kanagal-Shamanna R, Viale A, Chesi M, Colla S. Targeting DNA2 overcomes metabolic reprogramming in multiple myeloma. Nat Commun 2024; 15:1203. [PMID: 38331987 PMCID: PMC10853245 DOI: 10.1038/s41467-024-45350-8] [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: 07/29/2022] [Accepted: 01/18/2024] [Indexed: 02/10/2024] Open
Abstract
DNA damage resistance is a major barrier to effective DNA-damaging therapy in multiple myeloma (MM). To discover mechanisms through which MM cells overcome DNA damage, we investigate how MM cells become resistant to antisense oligonucleotide (ASO) therapy targeting Interleukin enhancer binding factor 2 (ILF2), a DNA damage regulator that is overexpressed in 70% of MM patients whose disease has progressed after standard therapies have failed. Here, we show that MM cells undergo adaptive metabolic rewiring to restore energy balance and promote survival in response to DNA damage activation. Using a CRISPR/Cas9 screening strategy, we identify the mitochondrial DNA repair protein DNA2, whose loss of function suppresses MM cells' ability to overcome ILF2 ASO-induced DNA damage, as being essential to counteracting oxidative DNA damage. Our study reveals a mechanism of vulnerability of MM cells that have an increased demand for mitochondrial metabolism upon DNA damage activation.
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Affiliation(s)
- Natthakan Thongon
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Feiyang Ma
- Division of Rheumatology, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Natalia Baran
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pamela Lockyer
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jintan Liu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher Jackson
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ashley Rose
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ken Furudate
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bethany Wildeman
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Matteo Marchesini
- IRCCS Instituto Romagnolo per lo Studio dei Tumori (IRST) Dino Amadori, Meldola, Italy
| | | | - Paola Storti
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Giannalisa Todaro
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Irene Ganan-Gomez
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vera Adema
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Yun Qing
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Min Jin Ha
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Caleb Stein
- Department of Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Caleb Class
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Butler University, Indianapolis, IN, USA
| | - Lin Tan
- Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sergio Attanasio
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Nicola Giuliani
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - David Berrios Nolasco
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrea Santoni
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Claudio Cerchione
- IRCCS Instituto Romagnolo per lo Studio dei Tumori (IRST) Dino Amadori, Meldola, Italy
| | - Carlos Bueso-Ramos
- Department of Hemopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Philip Lorenzi
- Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elisabet Manasanch
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Rashmi Kanagal-Shamanna
- Department of Hemopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrea Viale
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marta Chesi
- Department of Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Simona Colla
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Cui J, Lv R, Yu T, Yan W, Xu J, Fan H, Li L, Liu Y, Du C, Deng S, Sui W, Xu Y, Yi S, Zou D, Qiu L, An G. Minor clone of del(17p) provides a reservoir for relapse in multiple myeloma. Haematologica 2024; 109:591-603. [PMID: 37534514 PMCID: PMC10828782 DOI: 10.3324/haematol.2023.283533] [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: 05/14/2023] [Accepted: 07/27/2023] [Indexed: 08/04/2023] Open
Abstract
The deletion of chromosome 17p (del(17p)) is considered a crucial prognostic factor at the time of diagnosis in patients with multiple myeloma (MM). However, the impact of del(17p) on survival at different clonal sizes at relapse, as well as the patterns of clonal evolution between diagnosis and relapse and their prognostic value, has not been well described. To address these issues, we analyzed the interphase fluorescence in situ hybridization (iFISH) results of 995 newly diagnosed MM (NDMM) patients and 293 patients with MM at their first relapse. Among these patients, 197 had paired iFISH data at diagnosis and first relapse. Our analysis of paired iFISH revealed that a minor clone of del(17p) at relapse but not at diagnosis was associated with poor prognosis in MM (hazard ratio for median overall survival 1.64 vs. 1.44). Fifty-six and 12 patients developed one or more new cytogenetic abnormalities at relapse, mainly del(17p) and gain/amp(1q), respectively. We classified the patients into six groups based on the change patterns in the clonal size of del(17p) between the two time points. Patients who did not have del(17p) during follow-up showed the best outcomes, whereas those who acquired del(17p) during their disease course, experienced compromised survival (median overall survival: 61.3 vs. 49.4 months; hazard ratio =1.64; 95% confidence interval: 1.06-2.56; P<0.05). In conclusion, our data confirmed the adverse impact of a minor clone of del(17p) at relapse and highlighted the importance of designing optimal therapeutic strategies to eliminate high-risk cytogenetic abnormalities (clinicaltrials gov. identifier: NCT04645199).
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Affiliation(s)
- 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Rui Lv
- 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - Tengteng Yu
- 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China; LeBow Institute for Myeloma Therapeutics and Jerome Lipper Center for Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600.
| | - 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 300020, China; Tianjin Institutes of Health Science, Tianjin 301600.
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Salvadores M, Supek F. Cell cycle gene alterations associate with a redistribution of mutation risk across chromosomal domains in human cancers. NATURE CANCER 2024; 5:330-346. [PMID: 38200245 DOI: 10.1038/s43018-023-00707-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 12/11/2023] [Indexed: 01/12/2024]
Abstract
Mutations in human cells exhibit increased burden in heterochromatic, late DNA replication time (RT) chromosomal domains, with variation in mutation rates between tissues mirroring variation in heterochromatin and RT. We observed that regional mutation risk further varies between individual tumors in a manner independent of cell type, identifying three signatures of domain-scale mutagenesis in >4,000 tumor genomes. The major signature reflects remodeling of heterochromatin and of the RT program domains seen across tumors, tissues and cultured cells, and is robustly linked with higher expression of cell proliferation genes. Regional mutagenesis is associated with loss of activity of the tumor-suppressor genes RB1 and TP53, consistent with their roles in cell cycle control, with distinct mutational patterns generated by the two genes. Loss of regional heterogeneity in mutagenesis is associated with deficiencies in various DNA repair pathways. These mutation risk redistribution processes modify the mutation supply towards important genes, diverting the course of somatic evolution.
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Affiliation(s)
- Marina Salvadores
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Fran Supek
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain.
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.
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40
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Neupane K, Fortuna GG, Dahal R, Schmidt T, Fonseca R, Chakraborty R, Koehn KA, Mohan M, Mian H, Costa LJ, Sborov D, Mohyuddin GR. Alterations in chromosome 1q in multiple myeloma randomized clinical trials: a systematic review. Blood Cancer J 2024; 14:20. [PMID: 38272897 PMCID: PMC10810902 DOI: 10.1038/s41408-024-00985-0] [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: 09/10/2023] [Revised: 01/05/2024] [Accepted: 01/09/2024] [Indexed: 01/27/2024] Open
Abstract
Extra copies of chromosome 1q21 (+1q: gain = 3 copies, amp >= 4 copies) are associated with worse outcomes in multiple myeloma (MM). This systematic review assesses the current reporting trends of +1q, the efficacy of existing regimens on +1q, and its prognostic implications in MM randomized controlled trials (RCTs). Pubmed, Embase and Cochrane Registry of RCTs were searched from January 2012 to December 2022. Only MM RCTs were included. A total of 124 RCTs were included, of which 29 (23%) studies reported on +1q. Among them, 10% defined thresholds for +1q, 14% reported survival data separately for gain and amp, and 79% considered +1q a high-risk cytogenetic abnormality. Amongst RCTs that met the primary endpoint showing improvement in progression free survival (PFS), lenalidomide maintenance (Myeloma XI), selinexor (BOSTON), and isatuximab (IKEMA and ICARIA) were shown to improve PFS for patients with evidence of +1q. Some additional RCT's such as Myeloma XI+ (carfilzomib), ELOQUENT-3 (elotuzumab), and HOVON-65/GMMG-HD4 (bortezomib) met their endpoint showing improvement in PFS and also showed improvement in PFS in the +1q cohort, although the confidence interval crossed 1. All six studies that reported HR for +1q patients vs. without (across both arms) showed worse OS and PFS for +1q. There is considerable heterogeneity in the reporting of +1q. All interventions that have shown to be successful in RCTs and have clearly reported on the +1q subgroup have shown concordant direction of results and benefit of the applied intervention. A more standardized approach to reporting this abnormality is needed.
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Affiliation(s)
- Karun Neupane
- Department of Internal Medicine, Albert Einstein College of Medicine/Jacobi Medical Center, Bronx, NY, USA
| | - Gliceida Galarza Fortuna
- Division of Hematology and Hematological Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Riyasha Dahal
- Department of Internal Medicine, Universal College of Medical Sciences, Siddharthanagar, Nepal
| | - Timothy Schmidt
- Department of Hematology-Oncology, University of Wisconsin, Madison, WI, USA
| | - Rafael Fonseca
- Department of Hematology-Oncology, Mayo Clinic, Phoenix, AZ, USA
| | - Rajshekhar Chakraborty
- Department of Hematology and Oncology, Columbia University Herbert Irving Comprehensive Cancer Center, New York, NY, USA
| | - Kelly Ann Koehn
- Department of Hematology and Oncology, Chub O'Reilly Cancer Center, Springfield, MO, USA
| | - Meera Mohan
- Department of Hematology and Oncology, Medical College of Wisconsin, Milwaukee, WI, US
| | - Hira Mian
- Department of Hematology and Oncology, McMaster University, Hamilton, ON, Canada
| | - Luciano J Costa
- Department of Hematology and Oncology, O'Neal Cancer Center, University of Alabama, Birmingham, AL, USA
| | - Douglas Sborov
- Division of Hematology and Hematological Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Ghulam Rehman Mohyuddin
- Division of Hematology and Hematological Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
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Singh RK, Jones RJ, Shirazi F, Qin L, Zou J, Hong S, Wang H, Lee HC, Patel KK, Wan J, Choudhary RK, Kuiatse I, Pahl A, Orlowski RZ. Novel Anti-B-cell Maturation Antigen Alpha-Amanitin Antibody-drug Conjugate HDP-101 Shows Superior Activity to Belantamab Mafodotin and Enhanced Efficacy in Deletion 17p Myeloma Models. RESEARCH SQUARE 2024:rs.3.rs-3843028. [PMID: 38260385 PMCID: PMC10802748 DOI: 10.21203/rs.3.rs-3843028/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
B-cell maturation antigen (BCMA) plays a pathobiologic role in myeloma and is a validated target with five BCMA-specific therapeutics having been approved for relapsed/refractory disease. However, these drugs are not curative, and responses are inferior in patients with molecularly-defined high-risk disease, including those with deletion 17p (del17p) involving the tumor suppressor TP53, supporting the need for further drug development. Del17p has been associated with reduced copy number and gene expression of RNA polymerase II subunit alpha (POLR2A) in other tumor types. We therefore studied the possibility that HDP-101, an anti-BCMA antibody drug conjugate (ADC) with the POLR2A poison α-amanitin could be an attractive agent in myeloma, especially with del17p. HDP-101 reduced viability in myeloma cell lines representing different molecular disease subtypes, and overcame adhesion-mediated and both conventional and novel drug resistance. After confirming that del17p is associated with reduced POLR2A levels in publicly available myeloma patient databases, we engineered TP53 wild-type cells with a TP53 knockout (KO), POLR2A knockdown (KD), or both, the latter to mimic del17p. HDP-101 showed potent anti-myeloma activity against all tested cell lines, and exerted enhanced efficacy against POLR2A KD and dual TP53 KO/POLR2A KD cells. Mechanistic studies showed HDP-101 up-regulated the unfolded protein response, activated apoptosis, and induced immunogenic cell death. Notably, HDP-101 impacted CD138-positive but not-negative primary cells, showed potent efficacy against aldehyde dehydrogenase-positive clonogenic cells, and eradicated myeloma in an in vivo cell line-derived xenograft (CDX). Interestingly, in the CDX model, prior treatment with HDP-101 precluded subsequent engraftment on tumor cell line rechallenge in a manner that appeared to be dependent in part on natural killer cells and macrophages. Finally, HDP-101 was superior to the BCMA-targeted ADC belantamab mafodotin against cell lines and primary myeloma cells in vitro, and in an in vivo CDX. Together, the data support the rationale for translation of HDP-101 to the clinic, where it is now undergoing Phase I trials, and suggest that it could emerge as a more potent ADC for myeloma with especially interesting activity against the high-risk del17p myeloma subtype.
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Affiliation(s)
| | | | | | - Li Qin
- The University of Texas MD Anderson Cancer Center
| | - Jianxuan Zou
- The University of Texas MD Anderson Cancer Center
| | - Samuel Hong
- The University of Texas MD Anderson Cancer Center
| | - Hua Wang
- The University of Texas MD Anderson Cancer Center
| | - Hans C Lee
- The University of Texas MD Anderson Cancer Center
| | | | - Jie Wan
- The University of Texas MD Anderson Cancer Center
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Uryu H, Mishima Y, Ishihara Y, Shirouchi Y, Yamauchi N, Hirano M, Hirano K, Teramoto Y, Yoshida K, Maruyama D. Complex karyotype determined using conventional cytogenetic analysis is a poor prognostic factor in patients with multiple myeloma. J Clin Exp Hematop 2024; 64:10-20. [PMID: 38538316 PMCID: PMC11079984 DOI: 10.3960/jslrt.23047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/06/2023] [Accepted: 12/12/2023] [Indexed: 05/12/2024] Open
Abstract
High-risk cytogenetic abnormalities (HRCAs) influence the prognosis of multiple myeloma (MM). However, additional cytogenetic aberrations can lead to poor outcomes. This study aimed to clarify whether HRCAs and additional chromosomal abnormalities affect MM prognosis. Patients with newly diagnosed MM who were treated with novel agents were retrospectively evaluated. The primary objective was to assess the difference in progression-free survival (PFS) and overall survival (OS) between patients with/without HRCAs and between patients with/without complex karyotype (CK). The secondary objectives were to identify factors affecting PFS/OS and factors related to CK. HRCAs were defined as del(17p), t(4;14), t(14;16), and gain/amplification(1q) assessed using fluorescence in situ hybridization. CK was defined as ≥3 chromosomal abnormalities on G-banding. Among 110 patients, 40 had HRCAs and 15 had CK. In this study, survival durations between patients with/without HRCAs were similar, while the CK group had significantly poorer PFS/OS than the no-CK group (median PFS: 9 vs. 24 months and median OS: 29 vs. 97 months, respectively), and a poor prognostic impact of CK was maintained in patients with HRCAs. In multivariate analysis, CK was correlated with poor PFS/OS (hazard ratio [HR]: 2.39, 95% confidence interval [95% CI]: 1.22-4.66 and HR: 2.66, 95% CI: 1.10-6.45, respectively). Bone marrow plasma cell (BMPC) ≥60% (odds ratio [OR] = 6.40, 95% CI: 1.50-27.2) and Revised International Staging System III (OR = 7.53, 95% CI: 2.09-27.1) were associated with CK. Our study suggests that CK may contribute to the poor prognosis of MM. Aggressive disease status including high BMPC proliferation could be relevant to CK.
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Affiliation(s)
- Hideki Uryu
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
| | - Yuko Mishima
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
| | - Yuko Ishihara
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
| | - Yuko Shirouchi
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
| | - Nobuhiko Yamauchi
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
| | - Mitsuhito Hirano
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
| | - Kei Hirano
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
| | - Yukako Teramoto
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
| | - Kikuaki Yoshida
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
| | - Dai Maruyama
- Department of Hematology
Oncology, Cancer Institute Hospital, Japanese Foundation for
Cancer Research, Tokyo, Japan
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Sathya P, Kayal S, Srinivas BH, Hamide A, Kar R. Quantification of circulating clonal plasma cells by multiparametric flow cytometry as a prognostic marker in patients with newly diagnosed multiple myeloma. Int J Lab Hematol 2023; 45:917-926. [PMID: 37632156 DOI: 10.1111/ijlh.14156] [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: 12/29/2022] [Accepted: 08/10/2023] [Indexed: 08/27/2023]
Abstract
BACKGROUND Studies have shown that the quantification of circulating clonal plasma cells (cCPCs) in peripheral blood using flow cytometry could be used as a prognostic predictor of poor outcome in multiple myeloma (MM). METHODS In 66 newly diagnosed MM, cCPCs were quantified (cCPC%) and analysed for association with outcome and survival. Single-tube combined surface (CD45/CD19/CD138/CD38/CD56/CD27/CD81 as per availability) and cytoplasmic (kappa/lambda) staining was done using pre-titrated volumes of antibodies. In 26 patients, repeat cCPC% was assessed post-induction therapy. For association studies, treatment response has been taken as good (VGPR and above) and poor (PR and below). All statistical analyses were performed with SPSS software version 16.0. RESULTS There was no significant association between cCPC% at baseline with staging (p = 0.43), β2 -microglobulin (p = 0.27) and albumin (p = 0.08). There was a significant difference between the pre-induction and post-induction cCPC% (p = 0.0001). The patients were segregated using a cut-off of ≥0.197 and <0.197 based on the median values of baseline cCPC%. The post-induction outcome was available for 47 patients among whom 33 (70%) had VGPR and above. There was a significant association between higher cCPC% at baseline with poor treatment response (p = 0.008). The median OS in the study patients was 42 (CI 28.14-43.03) months and the median PFS was 39 (CI 28.49-49.04) months. Higher cCPC% showed a lower median PFS (30 vs. 39 months) and OS (35 vs. 41 months) compared to lower cCPC% though it was not statistically significant. CONCLUSION Flow cytometric baseline cCPC% in newly diagnosed MM was associated with poor treatment response and survival.
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Affiliation(s)
- Pandurangan Sathya
- Department of Pathology, Jawaharlal Institute of Post-Graduate Medical Education and Research, Pondicherry, India
| | - Smita Kayal
- Department of Medical Oncology, Jawaharlal Institute of Post-Graduate Medical Education and Research, Pondicherry, India
| | - B H Srinivas
- Department of Pathology, Jawaharlal Institute of Post-Graduate Medical Education and Research, Pondicherry, India
| | - Abdoul Hamide
- Department of Medicine, Jawaharlal Institute of Post-Graduate Medical Education and Research, Pondicherry, India
| | - Rakhee Kar
- Department of Pathology, Jawaharlal Institute of Post-Graduate Medical Education and Research, Pondicherry, India
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Paul B. The Role of Autologous Stem Cell Transplant in Ultra-High-Risk Myeloma: Do the Ends Still Justify the Means? Transplant Cell Ther 2023; 29:727-729. [PMID: 38035888 DOI: 10.1016/j.jtct.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Affiliation(s)
- Barry Paul
- Department of Hematologic Oncology and Blood Disorders, Levine Cancer Institute, Atrium Health/Wake Forest Baptist, Charlotte, North Carolina
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Maura F, Boyle EM, Coffey D, Maclachlan K, Gagler D, Diamond B, Ghamlouch H, Blaney P, Ziccheddu B, Cirrincione A, Chojnacka M, Wang Y, Siegel A, Hoffman JE, Kazandjian D, Hassoun H, Guzman E, Mailankody S, Shah UA, Tan C, Hultcrantz M, Scordo M, Shah GL, Landau H, Chung DJ, Giralt S, Zhang Y, Arbini A, Gao Q, Roshal M, Dogan A, Lesokhin AM, Davies FE, Usmani SZ, Korde N, Morgan GJ, Landgren O. Genomic and immune signatures predict clinical outcome in newly diagnosed multiple myeloma treated with immunotherapy regimens. NATURE CANCER 2023; 4:1660-1674. [PMID: 37945755 DOI: 10.1038/s43018-023-00657-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 09/20/2023] [Indexed: 11/12/2023]
Abstract
Despite improving outcomes, 40% of patients with newly diagnosed multiple myeloma treated with regimens containing daratumumab, a CD38-targeted monoclonal antibody, progress prematurely. By integrating tumor whole-genome and microenvironment single-cell RNA sequencing from upfront phase 2 trials using carfilzomib, lenalidomide and dexamethasone with daratumumab ( NCT03290950 ), we show how distinct genomic drivers including high APOBEC mutational activity, IKZF3 and RPL5 deletions and 8q gain affect clinical outcomes. Furthermore, evaluation of paired bone marrow profiles, taken before and after eight cycles of carfilzomib, lenalidomide and dexamethasone with daratumumab, shows that numbers of natural killer cells before treatment, high T cell receptor diversity before treatment, the disappearance of sustained immune activation (that is, B cells and T cells) and monocyte expansion over time are all predictive of sustained minimal residual disease negativity. Overall, this study provides strong evidence of a complex interplay between tumor cells and the immune microenvironment that is predictive of clinical outcome and depth of treatment response in patients with newly diagnosed multiple myeloma treated with highly effective combinations containing anti-CD38 antibodies.
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Affiliation(s)
- Francesco Maura
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
| | - Eileen M Boyle
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - David Coffey
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Kylee Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Dylan Gagler
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Benjamin Diamond
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Hussein Ghamlouch
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Patrick Blaney
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Bachisio Ziccheddu
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Anthony Cirrincione
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Monika Chojnacka
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Yubao Wang
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Ariel Siegel
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - James E Hoffman
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Dickran Kazandjian
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Hani Hassoun
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Emily Guzman
- Genome Technology Center, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Sham Mailankody
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Urvi A Shah
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Carlyn Tan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Michael Scordo
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gunjan L Shah
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heather Landau
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David J Chung
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sergio Giralt
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yanming Zhang
- Cytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Arnaldo Arbini
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Qi Gao
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mikhail Roshal
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmet Dogan
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexander M Lesokhin
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Faith E Davies
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Saad Z Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Neha Korde
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Gareth J Morgan
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA.
| | - Ola Landgren
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
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Simhal AK, Maclachlan KH, Elkin R, Zhu J, Norton L, Deasy JO, Oh JH, Usmani SZ, Tannenbaum A. Gene interaction network analysis in multiple myeloma detects complex immune dysregulation associated with shorter survival. Blood Cancer J 2023; 13:175. [PMID: 38030619 PMCID: PMC10687027 DOI: 10.1038/s41408-023-00935-2] [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: 04/05/2023] [Revised: 10/11/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
The plasma cell cancer multiple myeloma (MM) varies significantly in genomic characteristics, response to therapy, and long-term prognosis. To investigate global interactions in MM, we combined a known protein interaction network with a large clinically annotated MM dataset. We hypothesized that an unbiased network analysis method based on large-scale similarities in gene expression, copy number aberration, and protein interactions may provide novel biological insights. Applying a novel measure of network robustness, Ollivier-Ricci Curvature, we examined patterns in the RNA-Seq gene expression and CNA data and how they relate to clinical outcomes. Hierarchical clustering using ORC differentiated high-risk subtypes with low progression free survival. Differential gene expression analysis defined 118 genes with significantly aberrant expression. These genes, while not previously associated with MM, were associated with DNA repair, apoptosis, and the immune system. Univariate analysis identified 8/118 to be prognostic genes; all associated with the immune system. A network topology analysis identified both hub and bridge genes which connect known genes of biological significance of MM. Taken together, gene interaction network analysis in MM uses a novel method of global assessment to demonstrate complex immune dysregulation associated with shorter survival.
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Affiliation(s)
- Anish K Simhal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kylee H Maclachlan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Rena Elkin
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jiening Zhu
- Department of Applied Mathematics & Statistics, Stony Brook University, Stony Brook, NY, USA
| | - Larry Norton
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Saad Z Usmani
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Allen Tannenbaum
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Departments of Computer Science and Applied Mathematics & Statistics, Stony Brook University, Stony Brook, NY, USA.
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Larson RC, Kann MC, Graham C, Mount CW, Castano AP, Lee WH, Bouffard AA, Takei HN, Almazan AJ, Scarfó I, Berger TR, Schmidts A, Frigault MJ, Gallagher KME, Maus MV. Anti-TACI single and dual-targeting CAR T cells overcome BCMA antigen loss in multiple myeloma. Nat Commun 2023; 14:7509. [PMID: 37980341 PMCID: PMC10657357 DOI: 10.1038/s41467-023-43416-7] [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: 08/18/2023] [Accepted: 11/09/2023] [Indexed: 11/20/2023] Open
Abstract
Chimeric Antigen Receptor (CAR) T cells directed to B cell maturation antigen (BCMA) mediate profound responses in patients with multiple myeloma, but most patients do not achieve long-term complete remissions. In addition, recent evidence suggests that high-affinity binding to BCMA can result in on-target, off-tumor activity in the basal ganglia and can lead to fatal Parkinsonian-like disease. Here we develop CAR T cells against multiple myeloma using a binder to targeting transmembrane activator and CAML interactor (TACI) in mono and dual-specific formats with anti-BCMA. These CARs have robust, antigen-specific activity in vitro and in vivo. We also show that TACI RNA expression is limited in the basal ganglia, which may circumvent some of the toxicities recently reported with BCMA CARs. Thus, single-targeting TACI CARs may have a safer toxicity profile, whereas dual-specific BCMA-TACI CAR T cells have potential to avoid the antigen escape that can occur with single-antigen targeting.
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Affiliation(s)
- Rebecca C Larson
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Michael C Kann
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Charlotte Graham
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher W Mount
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ana P Castano
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Won-Ho Lee
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Amanda A Bouffard
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Hana N Takei
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Antonio J Almazan
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Irene Scarfó
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Trisha R Berger
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Andrea Schmidts
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew J Frigault
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Kathleen M E Gallagher
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Marcela V Maus
- Cellular Immunotherapy Program, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA.
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Bar N, Firestone RS, Usmani SZ. Aiming for the cure in myeloma: Putting our best foot forward. Blood Rev 2023; 62:101116. [PMID: 37596172 DOI: 10.1016/j.blre.2023.101116] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 07/12/2023] [Accepted: 07/13/2023] [Indexed: 08/20/2023]
Abstract
Frontline therapy for multiple myeloma (MM) is evolving to include novel combinations that can achieve unprecedented deep response rates. Several treatment strategies exist, varying in induction regimen composition, use of transplant and or consolidation and maintenance. In this sea of different treatment permutations, the overarching theme is the powerful prognostic factors of disease risk and achievement of minimal residual disease (MRD) negativity. MM has significant inter-patient variability that requires treatment to be individualized. Risk-adapted and response-adapted strategies which are increasingly being explored to define the extent and duration of therapy, and eventually aim for functional curability. In addition, with T-cell redirection therapies rapidly revolutionizing myeloma treatments, the current standard of care for myeloma will change. This review analyzes the current relevant literature in upfront therapy for fit myeloma patients and provides suggestions for treatment approach while novel clinical trials are maturing.
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Affiliation(s)
- Noffar Bar
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine University, New Haven, CT, USA.
| | - Ross S Firestone
- Multiple Myeloma Service, Department of medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Saad Z Usmani
- Multiple Myeloma Service, Department of medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Costa LJ, Chhabra S, Medvedova E, Dholaria BR, Schmidt TM, Godby KN, Silbermann R, Dhakal B, Bal S, Giri S, D'Souza A, Hall AC, Hardwick P, Omel J, Cornell RF, Hari P, Callander NS. Minimal residual disease response-adapted therapy in newly diagnosed multiple myeloma (MASTER): final report of the multicentre, single-arm, phase 2 trial. Lancet Haematol 2023; 10:e890-e901. [PMID: 37776872 PMCID: PMC10836587 DOI: 10.1016/s2352-3026(23)00236-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/22/2023] [Accepted: 07/27/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND For patients with newly diagnosed multiple myeloma, reaching minimal residual disease (MRD) negativity after treatment is associated with improved outcomes; however, the use of MRD to modulate therapy remains elusive. We present the final analysis of the MASTER trial of daratumumab, carfilzomib, lenalidomide, and dexamethasone (Dara-KRd) therapy in patients with newly diagnosed multiple myeloma, in which MRD status is used to modulate treatment duration and cessation. METHODS MASTER was a multicentre, single-arm, phase 2 trial conducted in five academic medical centres in the USA. Eligible participants were 18 years or older with newly diagnosed multiple myeloma (measurable by serum or urine protein electrophoresis or serum free light chains), a life expectancy of at least 12 months, and an Eastern Cooperative Oncology Group performance status of 0-2, and had received no previous treatment for multiple myeloma except up to one cycle of therapy containing bortezomib, cyclophosphamide, and dexamethasone. The study was enriched for participants with high-risk chromosome abnormalities (HRCAs). During the induction phase, participants received four 28-day cycles of Dara-KRd, each comprising daratumumab (16 mg/kg intravenously on days 1, 8, 15, and 22), carfilzomib (56 mg/m2 intravenously on days 1, 8, and 15), lenalidomide (25 mg orally on days 1-21), and dexamethasone (40 mg orally or intravenously on days 1, 8, 15, and 22); induction was followed by autologous haematopoietic stem-cell transplantation and up to two phases of consolidation with Dara-KRd. We assessed MRD by next-generation sequencing after or during each phase. The primary endpoint was reaching MRD negativity (<10-5). Participants who reached MRD negativity after or during two consecutive phases stopped treatment and began observation with MRD surveillance (MRD-SURE); participants who did not reach two consecutive MRD-negative results received maintenance lenalidomide. Secondary endpoints included progression-free survival and cumulative incidence of progression. All analyses were conducted in the intention-to-treat population. This trial is registered with ClinicalTrials.gov, NCT03224507, and is complete. FINDINGS Between Mar 21, 2018, and Oct 23, 2020, 123 participants were recruited to the study, of whom 70 (57%) were men, 53 (43%) were women, 94 (76%) were non-Hispanic White, 25 (20%) were non-Hispanic Black, and four (3%) were of another race or ethnicity. The median age of participants was 61 years (IQR 55-68), and 24 (20%) were aged 70 years or older. The median duration of follow up was 42·2 months (IQR 34·5-46·0). Of the 123 participants, 53 (43%) had no HRCAs, 46 (37%) had one HRCA, and 24 (20%) had two or more HRCAs. For 118 (96%) of 123 participants, MRD was evaluable by next-generation sequencing; the remaining five had an absence of sufficiently unique clonogenic sequences to enable tracking by the assay. Of these 118 participants, 96 (81%, 95% CI 73-88) reached MRD of less than 10-5 (comprising 39 [78%, 64-88] of 50 participants with no HRCAs, 38 [86%, 73-95] of 44 participants with one HRCA, and 19 [79%, 58-93] of 24 participants with two or more HRCAs) and 84 (71%, 62-79) reached MRD-SURE and treatment cessation. 36-month progression-free survival among all 123 participants was 88% (95% CI 78-95) for participants with no HRCAs, 79% (67-88) for those with one HRCA, and 50% (30-70) for those with two or more HRCAs. For the 84 participants reaching MRD-SURE, the 24-month cumulative incidence of progression from cessation of therapy was 9% (95% CI 1-19) for participants with no HRCAs, 9% (1-18) for those with one HRCA, and 47% (23-72) for those with two or more HRCAs. 61 participants (comprising 52% of 118 MRD-evaluable participants and 73% of 84 participants who reached MRD-SURE) remain free of therapy and MRD-negative as of Feb 7, 2023. The most common grade 3-4 adverse events were neutropenia (43 patients, 35%), lymphopenia (28 patients, 23%), and hypertension (13 patients, 11%). Three treatment-emergent deaths were recorded: two sudden deaths and one due to viral infection, none of which were judged to be treatment-related. INTERPRETATION This approach provided positive outcomes and a pathway for treatment cessation in most patients with newly diagnosed multiple myeloma. Outcomes for patients with ultra-high-risk multiple myeloma, defined as those with two or more HRCAs, remain unsatisfactory, and these patients should be prioritised for trials with early introduction of therapies with novel mechanisms of action. FUNDING Amgen and Janssen Pharmaceuticals.
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Affiliation(s)
- Luciano J Costa
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Saurabh Chhabra
- Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Eva Medvedova
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Bhagirathbhai R Dholaria
- Division of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Timothy M Schmidt
- Division of Hematology, Oncology and Palliative Care, Department of Medicine, University of Wisc onsin, Madison, WI, USA
| | - Kelly N Godby
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rebecca Silbermann
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Binod Dhakal
- Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Susan Bal
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Smith Giri
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Anita D'Souza
- Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Aric C Hall
- Division of Hematology, Oncology and Palliative Care, Department of Medicine, University of Wisc onsin, Madison, WI, USA
| | - Pamela Hardwick
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - James Omel
- Academic Consortium to Overcome Multiple Myeloma through Innovative Trials (COMMIT), Omaha, NE, USA
| | - Robert F Cornell
- Division of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Parameswaran Hari
- Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Natalie S Callander
- Division of Hematology, Oncology and Palliative Care, Department of Medicine, University of Wisc onsin, Madison, WI, USA
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Daudignon A, Cuccuini W, Bracquemart C, Godon C, Quilichini B, Penther D. Cytogenetics in the management of multiple Myeloma: The guidelines from the Groupe Francophone de Cytogénétique Hématologique (GFCH). Curr Res Transl Med 2023; 71:103427. [PMID: 38035476 DOI: 10.1016/j.retram.2023.103427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 12/02/2023]
Abstract
Multiple myeloma (MM) is characterized by the accumulation of malignant plasma cells (PCs) in the bone marrow. Despite considerable advances in the treatment, MM is considered an incurable chronic disease with a very heterogeneous prognosis, mostly depending on genomic alterations whose complexity evolves over time. The cytogenetic analysis of MM is performed on CD138+ sorted PCs, in order to detect the following high risk cytogenetic abnormalities: t(4;14), 17p/TP53 deletion, 1q21 gain/amplification, 1p32 deletion, as well as t(11;14) because of its therapeutic implication. This minimal panel can be enlarged to detect other recurrent abnormalities, according to the prognostic score chosen by the laboratory. Although the knowledge of the genetic landscape of MM is evolving rapidly with improved molecular technologies, risk scores remain to be refined as they require more time for consensual validation. The GFCH present here the overview of genomics alterations identified in MM and related PCs diseases associated with their prognostic factor, when available, and recommendations from an expert group for identification and characterization of those alterations. This work is the update of previous 2016 recommendations.
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Affiliation(s)
- Agnès Daudignon
- Institut de Génétique Médicale - Hôpital Jeanne de Flandre - CHU de Lille, Lille, France
| | - Wendy Cuccuini
- Laboratoire d'hématologie, Hôpital Saint-Louis -Assistance Publique-Hôpitaux de Paris (APHP), Paris, France
| | - Claire Bracquemart
- Normandie Univ, UNICAEN, CHU de Caen Normandie, Structure Fédérative d'Oncogénétique cyto-moléculaire (MOCAE), Caen, France
| | - Catherine Godon
- Laboratoire d'Hématologie Biologique, CHU Nantes, Nantes, France
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