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Jin X, Jiang X, Li H, Shen K, Liu S, Chen M, Yang C, Han B, Zhuang J. Prognostic Implications of Circulating Plasma Cell Percentage in Multiple Myeloma and Primary Plasma Cell Leukemia Defined by New Criteria. Acta Haematol 2024:1-10. [PMID: 38626745 DOI: 10.1159/000538658] [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: 08/29/2023] [Accepted: 03/29/2024] [Indexed: 04/18/2024]
Abstract
INTRODUCTION The definition of primary plasma cell leukemia (pPCL) has been revised from ≥20% to ≥5% circulating plasma cells (CPC). However, the precise prognosis associated with CPC remains controversial. This study aimed to investigate prognostic biomarkers for myeloma patients based on CPC presence. METHODS A comprehensive analysis was conducted on 309 consecutive patients diagnosed with either multiple myeloma or pPCL, utilizing peripheral blood smears stained with Wright-Giemsa. RESULTS Patients were grouped by CPC percentage: 0% (221, 71.5%), 1-4% (49, 15.9%), 5-19% (16, 5.2%), ≥20% (23, 7.4%). CPC >5% correlated with unfavorable characteristics, including anemia, renal dysfunction, and advanced International Staging System. Common cytogenetic abnormalities such as 1q21 amplification, 17p deletion, and Myc rearrangement were prevalent among CPC-positive patients. Median progression-free survival (PFS) and overall survival (OS) were shorter in patients with CPC ≥5% (29.47 vs. 10.03 months; 64.10 vs. 12.30 months). Additionally, PFS and OS were shorter in CPC-positive patients without autologous hematopoietic stem cell transplantation (ASCT) and those with response < partial remission to the first-line regimen. Furthermore, an association emerged between soft tissue-related extramedullary disease and inferior PFS, while Myc rearrangement correlated with abbreviated OS. CONCLUSION Biological characteristics displayed greater aggressiveness in patients with positive CPC, leading to significantly shorter PFS and OS. The presence of CPC, ASCT, and overall response rate were independent prognostic factors. While no new threshold for pPCL with CPCs is proposed, Myc rearrangements and CPC positivity could serve as ultra-high-risk factors for multiple myeloma.
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Affiliation(s)
- Xianghong Jin
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China,
- Peking Union Medical College, Chinese Academy and Medical Sciences, Beijing, China,
| | - Xianyong Jiang
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China
| | - Hui Li
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China
| | - Kaini Shen
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China
| | - Shuangjiao Liu
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China
| | - Miao Chen
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China
| | - Chen Yang
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China
| | - Bing Han
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China
| | - Junling Zhuang
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China
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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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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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Chojnacka M, Diamond B, Ziccheddu B, Rustad E, Maclachlan K, Papadimitriou M, Boyle EM, Blaney P, Usmani S, Morgan G, Landgren O, Maura F. Impact of Rare Structural Variant Events in Newly Diagnosed Multiple Myeloma. Clin Cancer Res 2024; 30:575-585. [PMID: 37939148 PMCID: PMC10841766 DOI: 10.1158/1078-0432.ccr-23-1045] [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: 04/06/2023] [Revised: 07/19/2023] [Accepted: 11/07/2023] [Indexed: 11/10/2023]
Abstract
PURPOSE Whole-genome sequencing (WGS) of patients with newly diagnosed multiple myeloma (NDMM) has shown recurrent structural variant (SV) involvement in distinct regions of the genome (i.e., hotspots) and causing recurrent copy-number alterations. Together with canonical immunoglobulin translocations, these SVs are recognized as "recurrent SVs." More than half of SVs were not involved in recurrent events. The significance of these "rare SVs" has not been previously examined. EXPERIMENTAL DESIGN In this study, we utilize 752 WGS and 591 RNA sequencing data from patients with NDMM to determine the role of rare SVs in myeloma pathogenesis. RESULTS Ninety-four percent of patients harbored at least one rare SV event. Rare SVs showed an SV class-specific enrichment within genes and superenhancers associated with outlier gene expression. Furthermore, known myeloma driver genes recurrently impacted by point mutations were dysregulated by rare SVs. CONCLUSIONS Overall, we demonstrate the association of rare SVs with aberrant gene expression supporting a potential driver role in myeloma pathogenesis.
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Affiliation(s)
- Monika Chojnacka
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Benjamin Diamond
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Bachisio Ziccheddu
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Even Rustad
- Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Kylee Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marios Papadimitriou
- 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
| | - Patrick Blaney
- Myeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA
| | - Saad Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gareth 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
| | - Francesco Maura
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
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Koduru P, Chen W, Fuda F, Kaur G, Awan F, John S, Garcia R, Gagan J. RNASeq Analysis for Accurate Identification of Fusion Partners in Tumor Specific Translocations Detected by Standard FISH Probes in Hematologic Malignancies. CLINICAL PATHOLOGY (THOUSAND OAKS, VENTURA COUNTY, CALIF.) 2024; 17:2632010X241230262. [PMID: 38371338 PMCID: PMC10874141 DOI: 10.1177/2632010x241230262] [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: 04/18/2023] [Accepted: 01/17/2024] [Indexed: 02/20/2024]
Abstract
Background Fluorescence labeled DNA probes and in situ hybridization methods had shorter turn round time for results revolutionized their clinical application. Signals obtained from these probes are highly specific, yet they can produce fusion signals not necessarily representing fusion of actual genes due to other genes included in the probe design. In this study we evaluated discordance between cytogenetic, FISH and RNAseq results in 3 different patients with hematologic malignancies and illustrated the need to perform next generation sequencing (NGS) or RNASeq to accurately interpret FISH results. Methods Bone marrow or peripheral blood karyotypes and FISH were performed to detect recurring translocations associated with hematologic malignancies in clinical samples routinely referred to our clinical cytogenetics laboratory. When required, NGS was performed on DNA and RNA libraries to detect somatic alterations and gene fusions in some of these specimens. Discordance in results between these methods is further evaluated. Results For a patient with plasma cell leukemia standard FGFR3 / IGH dual fusion FISH assay detected fusion that was interpreted as FGFR3-positive leukemia, whereas NGS/RNASeq detected NSD2::IGH. For a pediatric acute lymphoblastic leukemia patient, a genetic diagnosis of PDGFRB-positive ALL was rendered because the PDGFRB break-apart probe detected clonal rearrangement, whereas NGS detected MEF2D::CSF1R. A MYC-positive B-prolymphocytic leukemia was rendered for another patient with a cytogenetically identified t(8;14) and MYC::IGH by FISH, whereas NGS detected a novel PVT1::RCOR1 not previously reported. Conclusions These are 3 cases in a series of several other concordant results, nevertheless, elucidate limitations when interpreting FISH results in clinical applications, particularly when other genes are included in probe design. In addition, when the observed FISH signals are atypical, this study illustrates the necessity to perform complementary laboratory assays, such as NGS and/or RNASeq, to accurately identify fusion genes in tumorigenic translocations.
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Affiliation(s)
- Prasad Koduru
- Departments of Pathology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Weina Chen
- Departments of Pathology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Franklin Fuda
- Departments of Pathology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Gurbakhash Kaur
- Internal Medicine (Division of Oncology), UT Southwestern Medical Center, Dallas, TX, USA
| | - Farrukh Awan
- Internal Medicine (Division of Oncology), UT Southwestern Medical Center, Dallas, TX, USA
| | - Samuel John
- Pediatrics, UT Southwestern Medical Center, Dallas, TX, USA
| | - Rolando Garcia
- Departments of Pathology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Jeffrey Gagan
- Departments of Pathology, UT Southwestern Medical Center, Dallas, TX, USA
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6
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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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Giguère A, Raymond-Bouchard I, Collin V, Claveau JS, Hébert J, LeBlanc R. Optical Genome Mapping Reveals the Complex Genetic Landscape of Myeloma. Cancers (Basel) 2023; 15:4687. [PMID: 37835381 PMCID: PMC10571866 DOI: 10.3390/cancers15194687] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 10/15/2023] Open
Abstract
Fluorescence in situ hybridization (FISH) on enriched CD138 plasma cells is the standard method for identification of clinically relevant genetic abnormalities in multiple myeloma. However, FISH is a targeted analysis that can be challenging due to the genetic complexity of myeloma. The aim of this study was to evaluate the potential of optical genome mapping (OGM) to detect clinically significant cytogenetic abnormalities in myeloma and to provide larger pangenomic information. OGM and FISH analyses were performed on CD138-purified cells of 20 myeloma patients. OGM successfully detected structural variants (SVs) (IGH and MYC rearrangements), copy number variants (CNVs) (17p/TP53 deletion, 1p deletion and 1q gain/amplification) and aneuploidy (gains of odd-numbered chromosomes, monosomy 13) classically expected with myeloma and led to a 30% increase in prognosis yield at our institution when compared to FISH. Despite challenges in the interpretation of OGM calls for CNV and aneuploidy losses in non-diploid genomes, OGM has the potential to replace FISH as the standard of care analysis in clinical settings and to efficiently change how we identify prognostic and predictive markers for therapies in the future. To our knowledge, this is the first study highlighting the feasibility and clinical utility of OGM in myeloma.
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Affiliation(s)
- Amélie Giguère
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Isabelle Raymond-Bouchard
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Vanessa Collin
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Jean-Sébastien Claveau
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
| | - Josée Hébert
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
| | - Richard LeBlanc
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
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Petrilla C, Galloway J, Kudalkar R, Ismael A, Cottini F. Understanding DNA Damage Response and DNA Repair in Multiple Myeloma. Cancers (Basel) 2023; 15:4155. [PMID: 37627183 PMCID: PMC10453069 DOI: 10.3390/cancers15164155] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023] Open
Abstract
Multiple myeloma (MM) is a plasma cell malignancy characterized by several genetic abnormalities, including chromosomal translocations, genomic deletions and gains, and point mutations. DNA damage response (DDR) and DNA repair mechanisms are altered in MM to allow for tumor development, progression, and resistance to therapies. Damaged DNA rarely induces an apoptotic response, given the presence of ataxia-telangiectasia mutated (ATM) loss-of-function or mutations, as well as deletions, mutations, or downregulation of tumor protein p53 (TP53) and tumor protein p73 (TP73). Moreover, DNA repair mechanisms are either hyperactive or defective to allow for rapid correction of the damage or permissive survival. Medications used to treat patients with MM can induce DNA damage, by either direct effects (mono-adducts induced by melphalan), or as a result of reactive oxygen species (ROS) production by proteasome inhibitors such as bortezomib. In this review, we will describe the mechanisms of DDR and DNA repair in normal tissues, the contribution of these pathways to MM disease progression and other phenotypes, and the potential therapeutic opportunities for patients with MM.
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Affiliation(s)
| | | | | | | | - Francesca Cottini
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH 43210, USA
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9
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Zhang B, Wang Q, Lin Z, Zheng Z, Zhou S, Zhang T, Zheng D, Chen Z, Zheng S, Zhang Y, Lin X, Dong R, Chen J, Qian H, Hu X, Zhuang Y, Zhang Q, Jin Z, Jiang S, Ma Y. A novel glycolysis-related gene signature for predicting the prognosis of multiple myeloma. Front Cell Dev Biol 2023; 11:1198949. [PMID: 37333985 PMCID: PMC10272536 DOI: 10.3389/fcell.2023.1198949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 05/25/2023] [Indexed: 06/20/2023] Open
Abstract
Background: Metabolic reprogramming is an important hallmark of cancer. Glycolysis provides the conditions on which multiple myeloma (MM) thrives. Due to MM's great heterogeneity and incurability, risk assessment and treatment choices are still difficult. Method: We constructed a glycolysis-related prognostic model by Least absolute shrinkage and selection operator (LASSO) Cox regression analysis. It was validated in two independent external cohorts, cell lines, and our clinical specimens. The model was also explored for its biological properties, immune microenvironment, and therapeutic response including immunotherapy. Finally, multiple metrics were combined to construct a nomogram to assist in personalized prediction of survival outcomes. Results: A wide range of variants and heterogeneous expression profiles of glycolysis-related genes were observed in MM. The prognostic model behaved well in differentiating between populations with various prognoses and proved to be an independent prognostic factor. This prognostic signature closely coordinated with multiple malignant features such as high-risk clinical features, immune dysfunction, stem cell-like features, cancer-related pathways, which was associated with the survival outcomes of MM. In terms of treatment, the high-risk group showed resistance to conventional drugs such as bortezomib, doxorubicin and immunotherapy. The joint scores generated by the nomogram showed higher clinical benefit than other clinical indicators. The in vitro experiments with cell lines and clinical subjects further provided convincing evidence for our study. Conclusion: We developed and validated the utility of the MM glycolysis-related prognostic model, which provides a new direction for prognosis assessment, treatment options for MM patients.
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Affiliation(s)
- Bingxin Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Quanqiang Wang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhili Lin
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ziwei Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shujuan Zhou
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Tianyu Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Dong Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zixing Chen
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Sisi Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yu Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xuanru Lin
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Rujiao Dong
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jingjing Chen
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Honglan Qian
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xudong Hu
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yan Zhuang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qianying Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhouxiang Jin
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Songfu Jiang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yongyong Ma
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province, Wenzhou, Zhejiang, China
- Zhejiang Engineering Research Center for Hospital Emergency and Process Digitization, Wenzhou, Zhejiang, China
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Baughn LB, Jessen E, Sharma N, Tang H, Smadbeck JB, Long MD, Pearce K, Smith M, Dasari S, Sachs Z, Linden MA, Cook J, Keith Stewart A, Chesi M, Mitra A, Leif Bergsagel P, Van Ness B, Kumar SK. Mass Cytometry reveals unique phenotypic patterns associated with subclonal diversity and outcomes in multiple myeloma. Blood Cancer J 2023; 13:84. [PMID: 37217482 PMCID: PMC10203138 DOI: 10.1038/s41408-023-00851-5] [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: 11/27/2022] [Revised: 04/26/2023] [Accepted: 05/02/2023] [Indexed: 05/24/2023] Open
Abstract
Multiple myeloma (MM) remains an incurable plasma cell (PC) malignancy. Although it is known that MM tumor cells display extensive intratumoral genetic heterogeneity, an integrated map of the tumor proteomic landscape has not been comprehensively evaluated. We evaluated 49 primary tumor samples from newly diagnosed or relapsed/refractory MM patients by mass cytometry (CyTOF) using 34 antibody targets to characterize the integrated landscape of single-cell cell surface and intracellular signaling proteins. We identified 13 phenotypic meta-clusters across all samples. The abundance of each phenotypic meta-cluster was compared to patient age, sex, treatment response, tumor genetic abnormalities and overall survival. Relative abundance of several of these phenotypic meta-clusters were associated with disease subtypes and clinical behavior. Increased abundance of phenotypic meta-cluster 1, characterized by elevated CD45 and reduced BCL-2 expression, was significantly associated with a favorable treatment response and improved overall survival independent of tumor genetic abnormalities or patient demographic variables. We validated this association using an unrelated gene expression dataset. This study represents the first, large-scale, single-cell protein atlas of primary MM tumors and demonstrates that subclonal protein profiling may be an important determinant of clinical behavior and outcome.
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Affiliation(s)
- Linda B Baughn
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
| | - Erik Jessen
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Neeraj Sharma
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Hongwei Tang
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - James B Smadbeck
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Mark D Long
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Kathryn Pearce
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Matthew Smith
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Surendra Dasari
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Zohar Sachs
- Division of Hematology, Oncology, and Transplantation, Department of Medicine and Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Michael A Linden
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Joselle Cook
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Marta Chesi
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Amit Mitra
- Department of Drug Discovery and Development, Auburn University, Auburn, AL, USA
| | - P Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Brian Van Ness
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN, USA
| | - Shaji K Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
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Abdallah NH, Smith AN, Geyer S, Binder M, Greipp PT, Kapoor P, Dispenzieri A, Gertz MA, Baughn LB, Lacy MQ, Hayman SR, Buadi FK, Dingli D, Hwa YL, Lin Y, Kourelis T, Warsame R, Kyle RA, Rajkumar SV, Kumar SK. Conditional survival in multiple myeloma and impact of prognostic factors over time. Blood Cancer J 2023; 13:78. [PMID: 37188699 DOI: 10.1038/s41408-023-00852-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/22/2023] [Accepted: 05/03/2023] [Indexed: 05/17/2023] Open
Abstract
Overall survival estimates from diagnosis are valuable for guiding treatment, but do not consider the years already survived. Conditional survival (CS) provides dynamic survival predictions over time. This study was conducted to estimate CS at 1-8 years from diagnosis and the impact of baseline prognostic factors on CS in multiple myeloma (MM) patients. This is a retrospective study including 2556 MM patients diagnosed between 2004 and 2019. CS (t | s) was defined as the probability of surviving t years given survival of s years. Median age was 64 years. Median follow-up was 6.2 years and median overall survival from diagnosis was 7.5 years. The 5-year CS estimates at s = 0, 1, 2, 3, and 5 years were 0.64, 0.61, 0.61, 0.61, and 0.58, respectively. On multivariate analysis, age ≥ 65 and proteasome inhibitor+immunomodulatory-based induction were associated with decreased survival and increased survival, respectively, retained at 5 years. The adverse impact of 1q gain/amplification, high-risk IgH translocation, and ISS-3 was significant at 1 and 3 years but not 5 years. Chromosome 17 abnormality was associated with decreased survival only at 1 year. Among MM patients, 5-year CS was stable at 1-5 years from diagnosis. The prognostic impact of high-risk cytogenetic factors decreased with additional years survived.
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Affiliation(s)
| | | | - Susan Geyer
- Department of biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Moritz Binder
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Patricia T Greipp
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Morie A Gertz
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Linda B Baughn
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Martha Q Lacy
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | - David Dingli
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Yi L Hwa
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Yi Lin
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - Rahma Warsame
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Robert A Kyle
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - Shaji K Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
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12
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Nejati R, Amador C, Czader M, Thacker E, Thakkar D, Dave SS, Dogan A, Duffield A, Goodlad JR, Ott G, Wasik MA, Xiao W, Cook JR. Progression of Hodgkin lymphoma and plasma cell neoplasms: Report from the 2021 SH/EAHP Workshop. Am J Clin Pathol 2023:7135990. [PMID: 37085150 DOI: 10.1093/ajcp/aqad023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 02/20/2023] [Indexed: 04/23/2023] Open
Abstract
OBJECTIVES To summarize cases submitted to the 2021 Society for Hematopathology/European Association for Haematopathology Workshop under the categories of progression of Hodgkin lymphoma, plasmablastic myeloma, and plasma cell myeloma. METHODS The workshop panel reviewed 20 cases covered in this session. In addition, whole-exome sequencing (WES) and whole-genome RNA expression analysis were performed on 10 submitted cases, including 6 Hodgkin lymphoma and 4 plasma neoplasm cases. RESULTS The cases of Hodgkin lymphoma included transformed cases to or from various types of B-cell lymphoma with 1 exception, which had T-cell differentiation. The cases of plasma cell neoplasms included cases with plasmablastic progression, progression to plasma cell leukemia, and secondary B-lymphoblastic leukemia. Gene variants identified by WES included some known to be recurrent in Hodgkin lymphoma and plasma cell neoplasm. All submitted Hodgkin lymphoma samples showed 1 or more of these mutations: SOCS1, FGFR2, KMT2D, RIT1, SPEN, STAT6, TET2, TNFAIP3, and ZNF217. CONCLUSIONS Better molecular characterization of both of these neoplasms and mechanisms of progression will help us to better understand mechanisms of progression and perhaps develop better prognostic models, as well as identifying novel therapeutic targets.
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Affiliation(s)
- Reza Nejati
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Catalina Amador
- Department of Pathology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Magdalena Czader
- Department of Pathology, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Devang Thakkar
- Department of Medcine, Duke University School of Medicine, Durham, NC, USA
| | - Sandeep S Dave
- Department of Medcine, Duke University School of Medicine, Durham, NC, USA
| | - Ahmet Dogan
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amy Duffield
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John R Goodlad
- Department of Pathology, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - German Ott
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus, and Dr Margarete Fischer-Bosch Institute for Clinical Pharmacology, Stuttgart, Germany
| | - Mariusz A Wasik
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Wenbin Xiao
- Department of Medcine, Duke University School of Medicine, Durham, NC, USA
| | - James R Cook
- Department of Laboratory Medicine, Cleveland Clinic, Cleveland, OH, USA
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13
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Monoclonal Gammopathies and the Bone Marrow Microenvironment: From Bench to Bedside and Then Back Again. Hematol Rep 2023; 15:23-49. [PMID: 36648882 PMCID: PMC9844382 DOI: 10.3390/hematolrep15010004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 09/11/2022] [Accepted: 01/03/2023] [Indexed: 01/12/2023] Open
Abstract
Multiple myeloma (MM) is an incurable hematologic malignancy characterized by a multistep evolutionary pathway, with an initial phase called monoclonal gammopathy of undetermined significance (MGUS), potentially evolving into the symptomatic disease, often preceded by an intermediate phase called "smoldering" MM (sMM). From a biological point of view, genomic alterations (translocations/deletions/mutations) are already present at the MGUS phase, thus rendering their role in disease evolution questionable. On the other hand, we currently know that changes in the bone marrow microenvironment (TME) could play a key role in MM evolution through a progressive shift towards a pro-inflammatory and immunosuppressive shape, which may drive cancer progression as well as clonal plasma cells migration, proliferation, survival, and drug resistance. Along this line, the major advancement in MM patients' survival has been achieved by the introduction of microenvironment-oriented drugs (including immunomodulatory drugs and monoclonal antibodies). In this review, we summarized the role of the different components of the TME in MM evolution from MGUS as well as potential novel therapeutic targets/opportunities.
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14
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Chojnacka M, Diamond B, Ziccheddu B, Rustad E, Maclachlan K, Papadimitriou M, Boyle EM, Blaney P, Usmani S, Morgan G, Landgren O, Maura F. Impact of rare structural variant events in newly diagnosed multiple myeloma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.03.522573. [PMID: 36711679 PMCID: PMC9881878 DOI: 10.1101/2023.01.03.522573] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Whole genome sequencing (WGS) of newly diagnosed multiple myeloma patients (NDMM) has shown recurrent structural variant (SV) involvement in distinct regions of the genome (i.e. hotspots) and causing recurrent copy number alterations. Together with canonical immunoglobulin translocations, these SVs are recognized as "recurrent SVs". More than half SVs were not involved in recurrent events. The significance of these "rare SVs" has not been previously examined. In this study, we utilize 752 WGS and 591 RNA-seq data from NDMM patients to determine the role of rare SVs in myeloma pathogenesis. 94% of patients harbored at least one rare SV event. Rare SVs showed an SV-class specific enrichment within genes and superenhancers associated with outlier gene expression. Furthermore, known myeloma driver genes recurrently impacted by point mutations were dysregulated by rare SVs. Overall, we demonstrate the association of rare SVs with aberrant gene expression supporting a driver role in myeloma pathogenesis. SIGNIFICANCE Characterization of multiple myeloma genome revealed that more than half structural variants are not involved in recurrent events. Here, we demonstrate that these rare SVs hold potential for myeloma pathogenesis through their gene expression impact. Rare SVs contribute to MM heterogeneity and have implications for development of individualized treatment.
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15
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Zhang B, Wang Q, Zhang T, Zheng Z, Lin Z, Zhou S, Zheng D, Chen Z, Zheng S, Zhang Y, Lin X, Dong R, Chen J, Qian H, Hu X, Zhuang Y, Zhang Q, Jin Z, Jiang S, Ma Y. Identification and validation of a novel cuproptosis-related gene signature in multiple myeloma. Front Cell Dev Biol 2023; 11:1159355. [PMID: 37152283 PMCID: PMC10157051 DOI: 10.3389/fcell.2023.1159355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 04/13/2023] [Indexed: 05/09/2023] Open
Abstract
Background: Cuproptosis is a newly identified unique copper-triggered modality of mitochondrial cell death, distinct from known death mechanisms such as necroptosis, pyroptosis, and ferroptosis. Multiple myeloma (MM) is a hematologic neoplasm characterized by the malignant proliferation of plasma cells. In the development of MM, almost all patients undergo a relatively benign course from monoclonal gammopathy of undetermined significance (MGUS) to smoldering myeloma (SMM), which further progresses to active myeloma. However, the prognostic value of cuproptosis in MM remains unknown. Method: In this study, we systematically investigated the genetic variants, expression patterns, and prognostic value of cuproptosis-related genes (CRGs) in MM. CRG scores derived from the prognostic model were used to perform the risk stratification of MM patients. We then explored their differences in clinical characteristics and immune patterns and assessed their value in prognosis prediction and treatment response. Nomograms were also developed to improve predictive accuracy and clinical applicability. Finally, we collected MM cell lines and patient samples to validate marker gene expression by quantitative real-time PCR (qRT-PCR). Results: The evolution from MGUS and SMM to MM was also accompanied by differences in the CRG expression profile. Then, a well-performing cuproptosis-related risk model was developed to predict prognosis in MM and was validated in two external cohorts. The high-risk group exhibited higher clinical risk indicators. Cox regression analyses showed that the model was an independent prognostic predictor in MM. Patients in the high-risk group had significantly lower survival rates than those in the low-risk group (p < 0.001). Meanwhile, CRG scores were significantly correlated with immune infiltration, stemness index and immunotherapy sensitivity. We further revealed the close association between CRG scores and mitochondrial metabolism. Subsequently, the prediction nomogram showed good predictive power and calibration. Finally, the prognostic CRGs were further validated by qRT-PCR in vitro. Conclusion: CRGs were closely related to the immune pattern and self-renewal biology of cancer cells in MM. This prognostic model provided a new perspective for the risk stratification and treatment response prediction of MM patients.
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Affiliation(s)
- Bingxin Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Quanqiang Wang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Tianyu Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ziwei Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhili Lin
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shujuan Zhou
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Dong Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zixing Chen
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Sisi Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yu Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xuanru Lin
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Rujiao Dong
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jingjing Chen
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Honglan Qian
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xudong Hu
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yan Zhuang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qianying Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhouxiang Jin
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- *Correspondence: Zhouxiang Jin, ; Songfu Jiang, ; Yongyong Ma,
| | - Songfu Jiang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- *Correspondence: Zhouxiang Jin, ; Songfu Jiang, ; Yongyong Ma,
| | - Yongyong Ma
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province, Wenzhou, Zhejiang, China
- Zhejiang Engineering Research Center for Hospital Emergency and Process Digitization, Wenzhou, Zhejiang, China
- *Correspondence: Zhouxiang Jin, ; Songfu Jiang, ; Yongyong Ma,
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16
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Schmidt TM. High or low? Assessing disease risk in multiple myeloma. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2022; 2022:349-355. [PMID: 36485159 PMCID: PMC9820796 DOI: 10.1182/hematology.2022000347] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Based upon the development of highly effective therapies such as immunomodulatory drugs, proteasome inhibitors, and monoclonal antibodies that target plasma cell biology, a dramatic improvement in overall survival has been observed for most patients with multiple myeloma (MM) over the past 2 decades. Although it is now commonplace for many patients with myeloma to live in excess of 10 years after diagnosis, unfortunately a large subset of patients continues to experience an aggressive disease course marked by substantial morbidity and early mortality. Many clinical biomarkers and staging systems in use today can help with prognostication, but accurate risk assessment can be difficult due to the presence of many different biomarkers with variable prognostic value. Furthermore, with the implementation of novel therapies and unprecedented rates of deep and durable responses, it is becoming apparent that risk assessment is best envisioned as a dynamic process that requires ongoing reevaluation. As risk and response-adapted approaches are becoming more commonplace, it is essential that clinicians understand the biological and prognostic implications of clinical, genomic, and response-based biomarkers in order to promote management strategies that will help improve both survival and quality of life for patients across the risk spectrum.
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Affiliation(s)
- Timothy Martin Schmidt
- Correspondence Timothy Martin Schmidt, University of Wisconsin, 600 Highland Avenue, K6/544 Clinical Sciences Center, MC5669, Madison, WI 53792; e-mail:
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17
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Aarabi M, Yoest JM, Farah R, Rajkovic A, Swerdlow SH, Yatsenko SA. A Novel Integrated Approach for Cytogenomic Evaluation of Plasma Cell Neoplasms. J Mol Diagn 2022; 24:1067-1078. [PMID: 35940519 DOI: 10.1016/j.jmoldx.2022.07.002] [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: 03/26/2022] [Revised: 06/24/2022] [Accepted: 07/19/2022] [Indexed: 12/29/2022] Open
Abstract
Plasma cell neoplasm (PCN) is associated with characteristic chromosomal aberrations of diagnostic and prognostic significance. The presence of a small percentage of neoplastic cells is a drawback in the application of karyotyping and fluorescence in situ hybridization for the evaluation of bone marrow aspirate. The analysis of samples enriched for CD138+ cells has improved the detection rate. However, fluorescence in situ hybridization requires several probes and may not be completed due to a limited number of isolated cells. To address the issues experienced with the conventional approach, a novel integrated protocol that consists of whole-genome amplification of DNA isolated from CD138+ cells, followed by microarray as well as one fluorescence in situ hybridization assay for balanced IGH gene rearrangements, has been developed. In the present study in a cohort of 56 patients with clinical suspicion for PCN, compared to conventional cytogenetic analysis, this approach provided higher yield in the detection of PCN-related abnormalities, irrespective of the initial percentage of plasma cells. Whole-genome profiling uncovered recurrent chromosomal abnormalities of prognostic value, including unbalanced alterations within the MYC locus, 16q loss, and hypodiploidy, that were not otherwise detectable by conventional methods. The proposed approach is cost-efficient and provides a superior detection rate, required for proper risk stratification and differential diagnosis of PCN regardless of initial plasma cell percentage.
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Affiliation(s)
- Mahmoud Aarabi
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jennifer M Yoest
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Rafic Farah
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Aleksandar Rajkovic
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Pathology, University of California-San Francisco, San Francisco, California; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California-San Francisco, San Francisco, California; Institute of Human Genetics, University of California-San Francisco, San Francisco, California
| | - Steven H Swerdlow
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Svetlana A Yatsenko
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania.
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18
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Sudha P, Ahsan A, Ashby C, Kausar T, Khera A, Kazeroun MH, Hsu CC, Wang L, Fitzsimons E, Salminen O, Blaney P, Czader M, Williams J, Abu Zaid MI, Ansari-Pour N, Yong KL, van Rhee F, Pierceall WE, Morgan GJ, Flynt E, Gooding S, Abonour R, Ramasamy K, Thakurta A, Walker BA. Myeloma Genome Project Panel is a Comprehensive Targeted Genomics Panel for Molecular Profiling of Patients with Multiple Myeloma. Clin Cancer Res 2022; 28:2854-2864. [PMID: 35522533 PMCID: PMC9250632 DOI: 10.1158/1078-0432.ccr-21-3695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 01/11/2022] [Accepted: 05/03/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE We designed a comprehensive multiple myeloma targeted sequencing panel to identify common genomic abnormalities in a single assay and validated it against known standards. EXPERIMENTAL DESIGN The panel comprised 228 genes/exons for mutations, 6 regions for translocations, and 56 regions for copy number abnormalities (CNA). Toward panel validation, targeted sequencing was conducted on 233 patient samples and further validated using clinical FISH (translocations), multiplex ligation probe analysis (MLPA; CNAs), whole-genome sequencing (WGS; CNAs, mutations, translocations), or droplet digital PCR (ddPCR) of known standards (mutations). RESULTS Canonical immunoglobulin heavy chain translocations were detected in 43.2% of patients by sequencing, and aligned with FISH except for 1 patient. CNAs determined by sequencing and MLPA for 22 regions were comparable in 103 samples and concordance between platforms was R2 = 0.969. Variant allele frequency (VAF) for 74 mutations were compared between sequencing and ddPCR with concordance of R2 = 0.9849. CONCLUSIONS In summary, we have developed a targeted sequencing panel that is as robust or superior to FISH and WGS. This molecular panel is cost-effective, comprehensive, clinically actionable, and can be routinely deployed to assist risk stratification at diagnosis or posttreatment to guide sequencing of therapies.
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Affiliation(s)
- Parvathi Sudha
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Aarif Ahsan
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Cody Ashby
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Tasneem Kausar
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Akhil Khera
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Mohammad H. Kazeroun
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Chih-Chao Hsu
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Lin Wang
- Department of Pathology and Laboratory Research, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | | | - Outi Salminen
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Patrick Blaney
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York
| | - Magdalena Czader
- Department of Pathology and Laboratory Research, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Jonathan Williams
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Mohammad I. Abu Zaid
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Naser Ansari-Pour
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Kwee L. Yong
- Cancer Institute, University College London, London, United Kingdom
| | - Frits van Rhee
- Myeloma Center, Winthrop P. Rockefeller Cancer institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | | | - Gareth J. Morgan
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York
| | - Erin Flynt
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Sarah Gooding
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
- Oxford Center for Translational Myeloma Research, University of Oxford, Oxford, United Kingdom
| | - Rafat Abonour
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Karthik Ramasamy
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
- Oxford Center for Translational Myeloma Research, University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Anjan Thakurta
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
- Oxford Center for Translational Myeloma Research, University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Brian A. Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
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19
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D'Agostino M, Cairns DA, Lahuerta JJ, Wester R, Bertsch U, Waage A, Zamagni E, Mateos MV, Dall'Olio D, van de Donk NWCJ, Jackson G, Rocchi S, Salwender H, Bladé Creixenti J, van der Holt B, Castellani G, Bonello F, Capra A, Mai EK, Dürig J, Gay F, Zweegman S, Cavo M, Kaiser MF, Goldschmidt H, Hernández Rivas JM, Larocca A, Cook G, San-Miguel JF, Boccadoro M, Sonneveld P. Second Revision of the International Staging System (R2-ISS) for Overall Survival in Multiple Myeloma: A European Myeloma Network (EMN) Report Within the HARMONY Project. J Clin Oncol 2022; 40:3406-3418. [PMID: 35605179 DOI: 10.1200/jco.21.02614] [Citation(s) in RCA: 103] [Impact Index Per Article: 51.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
PURPOSE Patients with newly diagnosed multiple myeloma (NDMM) show heterogeneous outcomes, and approximately 60% of them are at intermediate-risk according to the Revised International Staging system (R-ISS), the standard-of-care risk stratification model. Moreover, chromosome 1q gain/amplification (1q+) recently proved to be a poor prognostic factor. In this study, we revised the R-ISS by analyzing the additive value of each single risk feature, including 1q+. PATIENTS AND METHODS The European Myeloma Network, within the HARMONY project, collected individual data from 10,843 patients with NDMM enrolled in 16 clinical trials. An additive scoring system on the basis of top features predicting progression-free survival (PFS) and overall survival (OS) was developed and validated. RESULTS In the training set (N = 7,072), at a median follow-up of 75 months, ISS, del(17p), lactate dehydrogenase, t(4;14), and 1q+ had the highest impact on PFS and OS. These variables were all simultaneously present in 2,226 patients. A value was assigned to each risk feature according to their OS impact (ISS-III 1.5, ISS-II 1, del(17p) 1, high lactate dehydrogenase 1, and 1q+ 0.5 points). Patients were stratified into four risk groups according to the total additive score: low (Second Revision of the International Staging System [R2-ISS]-I, 19.2%, 0 points), low-intermediate (II, 30.8%, 0.5-1 points), intermediate-high (III, 41.2%, 1.5-2.5 points), high (IV, 8.8%, 3-5 points). Median OS was not reached versus 109.2 versus 68.5 versus 37.9 months, and median PFS was 68 versus 45.5 versus 30.2 versus 19.9 months, respectively. The score was validated in an independent validation set (N = 3,771, of whom 1,214 were with complete data to calculate R2-ISS) maintaining its prognostic value. CONCLUSION The R2-ISS is a simple prognostic staging system allowing a better stratification of patients with intermediate-risk NDMM. The additive nature of this score fosters its future implementation with new prognostic variables.
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Affiliation(s)
- Mattia D'Agostino
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - David A Cairns
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Juan José Lahuerta
- Instituto de Investigación del Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Ruth Wester
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Uta Bertsch
- University Hospital Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Anders Waage
- Institute of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli," Bologna, Italy.,Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italy
| | - María-Victoria Mateos
- Complejo Asistencial Universitario de Salamanca/IBSAL/CIC/Ciberonc, Salamanca, Spain
| | - Daniele Dall'Olio
- Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy
| | - Niels W C J van de Donk
- Department of Hematology, Amsterdam UMC, Cancer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Graham Jackson
- University of Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom
| | - Serena Rocchi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli," Bologna, Italy.,Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italy
| | - Hans Salwender
- Asklepios Tumorzentrum Hamburg, AK Altona and AK St Georg, Hamburg, Germany
| | | | - Bronno van der Holt
- HOVON Data Center, Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Gastone Castellani
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italy
| | - Francesca Bonello
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Andrea Capra
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Elias K Mai
- University Hospital Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Jan Dürig
- Department of Hematology, University Clinic Essen, Essen, Germany
| | - Francesca Gay
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Sonja Zweegman
- Department of Hematology, Amsterdam UMC, Cancer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Michele Cavo
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli," Bologna, Italy.,Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italy
| | - Martin F Kaiser
- The Institute of Cancer Research, London, United Kingdom and The Royal Marsden Hospital, London, United Kingdom
| | - Hartmut Goldschmidt
- University Hospital Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Jesús María Hernández Rivas
- Department of Medicine, University of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), University of Salamanca-Cancer Research Center of Salamanca (IBMCC, USAL-CSIG). Hematology Department, Hospital Universitario de Salamanca (CAUSA/IBSAL), Salamanca, Spain
| | - Alessandra Larocca
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Gordon Cook
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom
| | - Jesús F San-Miguel
- Clínica Universidad de Navarra, CIMA, IDISNA, CIBER-ONC (CB16/12/00369), Pamplona, Spain
| | - Mario Boccadoro
- SSD Clinical Trial in Oncoematologia e Mieloma Multiplo, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
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20
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Abdallah NH, Binder M, Rajkumar SV, Greipp PT, Kapoor P, Dispenzieri A, Gertz MA, Baughn LB, Lacy MQ, Hayman SR, Buadi FK, Dingli D, Go RS, Hwa YL, Fonder AL, Hobbs MA, Lin Y, Leung N, Kourelis T, Warsame R, Siddiqui MA, Kyle RA, Bergsagel PL, Fonseca R, Ketterling RP, Kumar SK. A simple additive staging system for newly diagnosed multiple myeloma. Blood Cancer J 2022; 12:21. [PMID: 35102148 PMCID: PMC8803917 DOI: 10.1038/s41408-022-00611-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 12/07/2021] [Accepted: 01/12/2022] [Indexed: 11/21/2022] Open
Abstract
Risk stratification in multiple myeloma is important for prognostication, patient selection for clinical trials, and comparison of treatment approaches. We developed and validated a staging system that incorporates additional FISH abnormalities not included in the R-ISS and reflects the additive effects of co-occurring high-risk disease features. We first evaluated the prognostic value of predefined cytogenetic and laboratory abnormalities in 2556 Mayo Clinic patients diagnosed between February 2004 and June 2019. We then used data from 1327 patients to develop a risk stratification model and validated this in 502 patients enrolled in the MMRF CoMMpass study. On multivariate analysis, high-risk IgH translocations [risk ratio (RR): 1.7], 1q gain/amplification (RR: 1.4), chromosome17 abnormalities (RR: 1.6), ISS III (RR: 1.7), and elevated LDH (RR: 1.3) were independently associated with decreased overall survival (OS). Among 1327 evaluable patients, OS was 11.0 (95% CI: 9.2–12.6), 7.0 (95% CI: 6.3–9.2), and 4.5 (95% CI: 3.7–5.2) years in patients with 0 (stage I), 1 (stage II), and ≥2 (stage III) high-risk factors, respectively. In the MMRF cohort, median OS was 7.8 (95% CI: NR-NR), 6.0 (95% CI: 5.7-NR), and 4.3 (95% CI: 2.7-NR) years in the 3 groups, respectively (P < 0.001). This 5-factor, 3-tier system is easy to implement in practice and improves upon the current R-ISS.
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Affiliation(s)
| | - Moritz Binder
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Morie A Gertz
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Linda B Baughn
- Department of Laboratory Medicine and Pathology, Rochester, MN, USA
| | - Martha Q Lacy
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | - David Dingli
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Ronald S Go
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Yi L Hwa
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Amie L Fonder
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - Yi Lin
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Nelson Leung
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.,Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | | | - Rahma Warsame
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - Robert A Kyle
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Shaji K Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
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21
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Sharma N, Smadbeck JB, Abdallah N, Zepeda-Mendoza C, Binder M, Pearce KE, Asmann YW, Peterson JF, Ketterling RP, Greipp PT, Leif Bergsagel P, Vincent Rajkumar S, Kumar SK, Baughn LB. The Prognostic Role of MYC Structural Variants Identified by NGS and FISH in Multiple Myeloma. Clin Cancer Res 2021; 27:5430-5439. [PMID: 34233962 PMCID: PMC8738776 DOI: 10.1158/1078-0432.ccr-21-0005] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Revised: 03/16/2021] [Accepted: 07/01/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE Structural variants (SV) of the MYC gene region are common in multiple myeloma and influence disease progression. However, the prognostic significance of different MYC SVs in multiple myeloma has not been clearly established. EXPERIMENTAL DESIGN We conducted a retrospective study of multiple myeloma comparing MYC SV subtypes identified by next-generation sequencing (NGS) and FISH to MYC expression and disease survival using 140 cases from Mayo Clinic and 658 cases from the MMRF CoMMpass study. RESULTS MYC SVs were found in 41% of cases and were classified into nine subtypes. A correlation between the presence of a MYC SV and increased MYC expression was identified. Among the nine MYC subtypes, the non-immunoglobulin (non-Ig) insertion subtype was independently associated with improved outcomes, while the Ig insertion subtype, specifically involving the IgL gene partner, was independently associated with poorer outcomes compared with other MYC SV subtypes. Although the FISH methodology failed to detect approximately 70% of all MYC SVs, those detected by FISH were associated with elevated MYC gene expression and poor outcomes suggesting a different pathogenic role for FISH-detected MYC subtypes compared with other MYC subtypes. CONCLUSIONS Understanding the impact of different MYC SVs on disease outcome is necessary for the reliable interpretation of MYC SVs in multiple myeloma. NGS approaches should be considered as a replacement technique for a more comprehensive evaluation of the multiple myeloma clone.
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Affiliation(s)
- Neeraj Sharma
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - James B. Smadbeck
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Nadine Abdallah
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | - Moritz Binder
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Kathryn E. Pearce
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Yan W. Asmann
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL
| | - Jess F. Peterson
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN,Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Rhett P. Ketterling
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN,Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Patricia T. Greipp
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN,Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - P. Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ
| | - S. Vincent Rajkumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Shaji K. Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Linda B. Baughn
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN,Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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22
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Dalland JC, Smadbeck JB, Sharma N, Meyer RG, Pearce KE, Greipp PT, Peterson JF, Kumar S, Ketterling RP, King RL, Baughn LB. Increased complexity of t(11;14) rearrangements in plasma cell neoplasms compared with mantle cell lymphoma. Genes Chromosomes Cancer 2021; 60:678-686. [PMID: 34124820 PMCID: PMC8453742 DOI: 10.1002/gcc.22977] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 06/03/2021] [Accepted: 06/04/2021] [Indexed: 12/14/2022] Open
Abstract
Plasma cell neoplasms (PCN) and mantle cell lymphoma (MCL) can both harbor t(11;14)(q13;q32) (CCND1/IGH), usually resulting in cyclin D1 overexpression. In some cases, particularly at low levels of disease, it can be morphologically challenging to distinguish between these entities in the bone marrow (BM) since PCN with t(11;14) are often CD20-positive with lymphoplasmacytic cytology, while MCL can rarely have plasmacytic differentiation. We compared the difference in CCND1/IGH by fluorescence in situ hybridization (FISH) in PCN and MCL to evaluate for possible differentiating characteristics. We identified 326 cases of MCL with t(11;14) and 279 cases of PCN with t(11;14) from either formalin-fixed, paraffin-embedded tissue or fresh BM specimens. The "typical," balanced CCND1/IGH FISH signal pattern was defined as three total CCND1 signals, three total IGH signals, and two total fusion signals. Any deviation from the "typical" pattern was defined as an "atypical" pattern, which was further stratified into "gain of fusion" vs "complex" patterns. There was a significantly higher proportion of cases that showed an atypical FISH pattern in PCN compared with MCL (53% vs 27%, P < .0001). There was also a significantly higher proportion of cases that showed a complex FISH pattern in PCN compared with MCL (47% vs 17%, P < .0001). We confirmed these findings using mate-pair sequencing of 25 PCN and MCL samples. PCN more often have a complex CCND1/IGH FISH pattern compared with MCL, suggesting possible differences in the genomic mechanisms underlying these rearrangements in plasma cells compared with B cells.
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Affiliation(s)
- Joanna C. Dalland
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - James B. Smadbeck
- Division of Computational Biology, Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Neeraj Sharma
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Reid G. Meyer
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Kathryn E. Pearce
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Patricia T. Greipp
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA,Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Jess F. Peterson
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA,Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Shaji Kumar
- Division of Hematology, Department of Internal MedicineMayo ClinicRochesterMinnesotaUSA
| | - Rhett P. Ketterling
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA,Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Rebecca L. King
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Linda B. Baughn
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA,Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
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23
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Zhou J, Nassiri M. Lymphoproliferative Neoplasms With Plasmablastic Morphology: An Overview and Diagnostic Approach. Arch Pathol Lab Med 2021; 146:407-414. [PMID: 34559873 DOI: 10.5858/arpa.2021-0117-ra] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2021] [Indexed: 11/06/2022]
Abstract
CONTEXT.— Plasmablastic morphology can be seen in several uncommon lymphoproliferative neoplasms. Sometimes it is difficult to distinguish these neoplasms from each other. OBJECTIVE.— To review the current understanding of major lymphoproliferative neoplasms with plasmablastic morphology; summarize the clinical, morphologic, immunophenotypic, cytogenetic, and molecular characteristics of each disease entity; and highlight a practical approach for differential diagnosis. DATA SOURCES.— Peer-reviewed medical literature and the authors' personal experience. CONCLUSIONS.— Plasmablastic lymphoma; plasmablastic myeloma; primary effusion lymphoma; human herpesvirus 8-positive diffuse large B-cell lymphoma, not otherwise specified; and anaplastic lymphoma kinase (ALK)-positive large B-cell lymphoma are major lymphoproliferative neoplasms with plasmablastic morphology. These neoplasms share many common morphologic and immunophenotypic characteristics. Definitive diagnosis requires a thorough understanding of disease phenotype and diagnostic criteria of each category. Recognition of expression pattern of Epstein-Barr virus-encoded small RNA, human herpesvirus 8, and ALK in these neoplasms is critical for diagnosis in cases with typical presentation. Additional ancillary studies and clinical findings may help in difficult cases.
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Affiliation(s)
- Jiehao Zhou
- From the Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis
| | - Mehdi Nassiri
- From the Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis
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24
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Bendig S, Walter W, Meggendorfer M, Bär C, Fuhrmann I, Kern W, Haferlach T, Haferlach C, Stengel A. Whole genome sequencing demonstrates substantial pathophysiological differences of MYC rearrangements in patients with plasma cell myeloma and B-cell lymphoma. Leuk Lymphoma 2021; 62:3420-3429. [PMID: 34380369 DOI: 10.1080/10428194.2021.1964021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
MYC rearrangements (MYCr) occur in several B-cell neoplasms and impact disease progression and overall survival. We used whole genome sequencing (WGS) and whole transcriptome sequencing (WTS) to analyze and compare MYCr in different B-cell neoplasms. The MYCr features of cases with plasma cell myeloma (PCM) (n = 88) showed distinct characteristics compared to cases with mature B-cell lymphomas (n = 62, including Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL) and high grade lymphoma with MYC and BCL2 and/or BCL6 rearrangements (HGBL)): they were more complex and showed a wider variety of translocation partners and breakpoints. Additionally, unlike B-cell lymphomas, they showed no evidence of activation-induced deaminase (AID) involvement in the formation of MYCr with immunoglobolin heavy chain (IGH), indicating a different mechanism of origin. The different MYCr characteristics resulted in poor MYCr detection rates by fluorescence in situ hybridization of only 50% in PCM, compared to 94% in lymphoma.
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25
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Ahmadi SE, Rahimi S, Zarandi B, Chegeni R, Safa M. MYC: a multipurpose oncogene with prognostic and therapeutic implications in blood malignancies. J Hematol Oncol 2021; 14:121. [PMID: 34372899 PMCID: PMC8351444 DOI: 10.1186/s13045-021-01111-4] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 06/12/2021] [Indexed: 12/17/2022] Open
Abstract
MYC oncogene is a transcription factor with a wide array of functions affecting cellular activities such as cell cycle, apoptosis, DNA damage response, and hematopoiesis. Due to the multi-functionality of MYC, its expression is regulated at multiple levels. Deregulation of this oncogene can give rise to a variety of cancers. In this review, MYC regulation and the mechanisms by which MYC adjusts cellular functions and its implication in hematologic malignancies are summarized. Further, we also discuss potential inhibitors of MYC that could be beneficial for treating hematologic malignancies.
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Affiliation(s)
- Seyed Esmaeil Ahmadi
- Department of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Samira Rahimi
- Department of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Bahman Zarandi
- Department of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Rouzbeh Chegeni
- Medical Laboratory Sciences Program, College of Health and Human Sciences, Northern Illinois University, DeKalb, IL, USA.
| | - Majid Safa
- Department of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.
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26
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A Comprehensive Review of the Genomics of Multiple Myeloma: Evolutionary Trajectories, Gene Expression Profiling, and Emerging Therapeutics. Cells 2021; 10:cells10081961. [PMID: 34440730 PMCID: PMC8391934 DOI: 10.3390/cells10081961] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/21/2021] [Accepted: 07/30/2021] [Indexed: 12/16/2022] Open
Abstract
Multiple myeloma (MM) is a blood cancer characterized by the accumulation of malignant monoclonal plasma cells in the bone marrow. It develops through a series of premalignant plasma cell dyscrasia stages, most notable of which is the Monoclonal Gammopathy of Undetermined Significance (MGUS). Significant advances have been achieved in uncovering the genomic aberrancies underlying the pathogenesis of MGUS-MM. In this review, we discuss in-depth the genomic evolution of MM and focus on the prognostic implications of the accompanied molecular and cytogenetic aberrations. We also dive into the latest investigatory techniques used for the diagnoses and risk stratification of MM patients.
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27
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Cardona-Benavides IJ, de Ramón C, Gutiérrez NC. Genetic Abnormalities in Multiple Myeloma: Prognostic and Therapeutic Implications. Cells 2021; 10:336. [PMID: 33562668 PMCID: PMC7914805 DOI: 10.3390/cells10020336] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 01/28/2021] [Accepted: 02/01/2021] [Indexed: 12/13/2022] Open
Abstract
Some genetic abnormalities of multiple myeloma (MM) detected more than two decades ago remain major prognostic factors. In recent years, the introduction of cutting-edge genomic methodologies has enabled the extensive deciphering of genomic events in MM. Although none of the alterations newly discovered have significantly improved the stratification of the outcome of patients with MM, some of them, point mutations in particular, are promising targets for the development of personalized medicine. This review summarizes the main genetic abnormalities described in MM together with their prognostic impact, and the therapeutic approaches potentially aimed at abrogating the undesirable pathogenic effect of each alteration.
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Affiliation(s)
- Ignacio J. Cardona-Benavides
- Hematology Department, University Hospital, Institute of Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, 37007 Salamanca, Spain; (I.J.C.-B.); (C.d.R.)
- Cancer Research Center-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Cristina de Ramón
- Hematology Department, University Hospital, Institute of Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, 37007 Salamanca, Spain; (I.J.C.-B.); (C.d.R.)
- Cancer Research Center-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Norma C. Gutiérrez
- Hematology Department, University Hospital, Institute of Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, 37007 Salamanca, Spain; (I.J.C.-B.); (C.d.R.)
- Cancer Research Center-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Spain
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