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Lai G, De Grossi F, Catusi I, Pesce E, Manfrini N. Dissecting the Puzzling Roles of FAM46C: A Multifaceted Pan-Cancer Tumour Suppressor with Increasing Clinical Relevance. Cancers (Basel) 2024; 16:1706. [PMID: 38730656 PMCID: PMC11083040 DOI: 10.3390/cancers16091706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/23/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
FAM46C is a well-established tumour suppressor with a role that is not completely defined or universally accepted. Although FAM46C expression is down-modulated in several tumours, significant mutations in the FAM46C gene are only found in multiple myeloma (MM). Consequently, its tumour suppressor activity has primarily been studied in the MM context. However, emerging evidence suggests that FAM46C is involved also in other cancer types, namely colorectal, prostate and gastric cancer and squamous cell and hepatocellular carcinoma, where FAM46C expression was found to be significantly reduced in tumoural versus non-tumoural tissues and where FAM46C was shown to possess anti-proliferative properties. Accordingly, FAM46C was recently proposed to function as a pan-cancer prognostic marker, bringing FAM46C under the spotlight and attracting growing interest from the scientific community in the pathways modulated by FAM46C and in its mechanistic activity. Here, we will provide the first comprehensive review regarding FAM46C by covering (1) the intracellular pathways regulated by FAM46C, namely the MAPK/ERK, PI3K/AKT, β-catenin and TGF-β/SMAD pathways; (2) the models regarding its mode of action, specifically the poly(A) polymerase, intracellular trafficking modulator and inhibitor of centriole duplication models, focusing on connections and interdependencies; (3) the regulation of FAM46C expression in different environments by interferons, IL-4, TLR engagement or transcriptional modulators; and, lastly, (4) how FAM46C expression levels associate with increased/decreased tumour cell sensitivity to anticancer agents, such as bortezomib, dexamethasone, lenalidomide, pomalidomide, doxorubicin, melphalan, SK1-I, docetaxel and norcantharidin.
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Affiliation(s)
- Giancarlo Lai
- INGM, Istituto Nazionale Genetica Molecolare Romeo ed Enrica Invernizzi, 20122 Milan, Italy; (G.L.); (F.D.G.); (E.P.)
- Department of Biosciences, University of Milan, 20133 Milan, Italy
| | - Federica De Grossi
- INGM, Istituto Nazionale Genetica Molecolare Romeo ed Enrica Invernizzi, 20122 Milan, Italy; (G.L.); (F.D.G.); (E.P.)
- Department of Biosciences, University of Milan, 20133 Milan, Italy
| | - Ilaria Catusi
- SC Clinical Pathology, SS Medical Genetics Laboratory, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy;
| | - Elisa Pesce
- INGM, Istituto Nazionale Genetica Molecolare Romeo ed Enrica Invernizzi, 20122 Milan, Italy; (G.L.); (F.D.G.); (E.P.)
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Nicola Manfrini
- INGM, Istituto Nazionale Genetica Molecolare Romeo ed Enrica Invernizzi, 20122 Milan, Italy; (G.L.); (F.D.G.); (E.P.)
- Department of Biosciences, University of Milan, 20133 Milan, Italy
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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. [PMID: 38613829 DOI: 10.1002/ajh.27327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [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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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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4
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Tonon G. Myeloma and DNA damage. Blood 2024; 143:488-495. [PMID: 37992215 DOI: 10.1182/blood.2023021384] [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: 09/07/2023] [Revised: 10/27/2023] [Accepted: 10/28/2023] [Indexed: 11/24/2023] Open
Abstract
ABSTRACT DNA-damaging agents have represented the first effective treatment for the blood cancer multiple myeloma, and after 65 years since their introduction to the clinic, they remain one of the mainstay therapies for this disease. Myeloma is a cancer of plasma cells. Despite exceedingly slow proliferation, myeloma cells present extended genomic rearrangements and intense genomic instability, starting at the premalignant stage of the disease. Where does such DNA damage stem from? A reliable model argues that the powerful oncogenes activated in myeloma as well the phenotypic peculiarities of cancer plasma cells, including the dependency on the proteasome for survival and the constant presence of oxidative stress, all converge on modulating DNA damage and repair. Beleaguered by these contraposing forces, myeloma cells survive in a precarious balance, in which the robust engagement of DNA repair mechanisms to guarantee cell survival is continuously challenged by rampant genomic instability, essential for cancer cells to withstand hostile selective pressures. Shattering this delicate equilibrium has been the goal of the extensive use of DNA-damaging agents since their introduction in the clinic, now enriched by novel approaches that leverage upon synthetic lethality paradigms. Exploiting the impairment of homologous recombination caused by myeloma genetic lesions or treatments, it is now possible to design therapeutic combinations that could target myeloma cells more effectively. Furthermore, DNA-damaging agents, as demonstrated in solid tumors, may sensitize cells to immune therapies. In all, targeting DNA damage and repair remains as central as ever in myeloma, even for the foreseeable future.
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Affiliation(s)
- Giovanni Tonon
- Università Vita-Salute San Raffaele, Milan, Italy
- Division of Experimental Oncology and Center for Omics Sciences, Functional Genomics of Cancer Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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5
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De Wilde S, Plawny L, Berchem G. Real-world experience with isatuximab in the treatment of relapsed-refractory multiple myeloma: a case series from the Grand Duchy of Luxembourg. Hematology 2023; 28:2182098. [PMID: 36880781 DOI: 10.1080/16078454.2023.2182098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND & OBJECTIVE Anti-CD38 targeting has become an important pillar of the treatment for patients with multiple myeloma (MM). This evolution was spearheaded by daratumumab, but more recently isatuximab became the second CD38-directed monoclonal antibody to receive EMA approval for the treatment of patients with relapsed/refractory (RR) MM. In recent years, real-world studies have become increasingly important to confirm and solidify the clinical potential of novel anti-myeloma therapies. METHODS This article describes the real-world experience with isatuximab-based therapy in a selection of four RRMM patients treated with an isatuximab-based treatment regimen in the Grand Duchy of Luxembourg. RESULTS Three of the four cases described in this article consist of heavily pretreated patients who were previously exposed to daratumumab-based therapy. Interestingly, the isatuximab-based therapy provided clinical benefit to all three of these patients illustrating that prior exposure to an anti-CD38 mAb does not preclude a response to isatuximab. As such, these findings further support the design of larger prospective studies looking into the impact of prior daratumumab use on the efficacy of isatuximab-based therapy. In addition, two of the cases included in this report displayed renal insufficiency and the experience with isatuximab in these patients further supports the use of this agent in this setting. CONCLUSION the clinical cases described illustrate the clinical potential of isatuximab-based treatment for RRMM patient in a real-world setting.
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Affiliation(s)
- Sigrid De Wilde
- Service d'Hémato-Oncologie, Centre Hospitalier Luxembourg, Luxembourg City, Luxembourg
| | - Laurent Plawny
- Service d'Hémato-Oncologie, Centre Hospitalier Luxembourg, Luxembourg City, Luxembourg
| | - Guy Berchem
- Service d'Hémato-Oncologie, Centre Hospitalier Luxembourg, Luxembourg City, Luxembourg
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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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7
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Kent D, Marchetti L, Mikulasova A, Russell LJ, Rico D. Broad H3K4me3 domains: Maintaining cellular identity and their implication in super-enhancer hijacking. Bioessays 2023; 45:e2200239. [PMID: 37350339 DOI: 10.1002/bies.202200239] [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: 12/09/2022] [Revised: 05/25/2023] [Accepted: 05/30/2023] [Indexed: 06/24/2023]
Abstract
The human and mouse genomes are complex from a genomic standpoint. Each cell has the same genomic sequence, yet a wide array of cell types exists due to the presence of a plethora of regulatory elements in the non-coding genome. Recent advances in epigenomic profiling have uncovered non-coding gene proximal promoters and distal enhancers of transcription genome-wide. Extension of promoter-associated H3K4me3 histone mark across the gene body, known as a broad H3K4me3 domain (H3K4me3-BD), is a signature of constitutive expression of cell-type-specific regulation and of tumour suppressor genes in healthy cells. Recently, it has been discovered that the presence of H3K4me3-BDs over oncogenes is a cancer-specific feature associated with their dysregulated gene expression and tumourigenesis. Moreover, it has been shown that the hijacking of clusters of enhancers, known as super-enhancers (SE), by proto-oncogenes results in the presence of H3K4me3-BDs over the gene body. Therefore, H3K4me3-BDs and SE crosstalk in healthy and cancer cells therefore represents an important mechanism to identify future treatments for patients with SE driven cancers.
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Affiliation(s)
- Daniel Kent
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Letizia Marchetti
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Aneta Mikulasova
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Lisa J Russell
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Daniel Rico
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
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8
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Kotekar A, Singh AK, Devaiah BN. BRD4 and MYC: power couple in transcription and disease. FEBS J 2023; 290:4820-4842. [PMID: 35866356 PMCID: PMC9867786 DOI: 10.1111/febs.16580] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/16/2022] [Accepted: 07/20/2022] [Indexed: 01/26/2023]
Abstract
The MYC proto-oncogene and BRD4, a BET family protein, are two cardinal proteins that have a broad influence in cell biology and disease. Both proteins are expressed ubiquitously in mammalian cells and play central roles in controlling growth, development, stress responses and metabolic function. As chromatin and transcriptional regulators, they play a critical role in regulating the expression of a burgeoning array of genes, maintaining chromatin architecture and genome stability. Consequently, impairment of their function or regulation leads to many diseases, with cancer being the most predominant. Interestingly, accumulating evidence indicates that regulation of the expression and functions of MYC are tightly intertwined with BRD4 at both transcriptional and post-transcriptional levels. Here, we review the mechanisms by which MYC and BRD4 are regulated, their functions in governing various molecular mechanisms and the consequences of their dysregulation that lead to disease. We present a perspective of how the regulatory mechanisms for the two proteins could be entwined at multiple points in a BRD4-MYC nexus that leads to the modulation of their functions and disease upon dysregulation.
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Affiliation(s)
- Aparna Kotekar
- Experimental Immunology Branch, NCI, NIH, Bethesda, MD 20892, USA
| | - Amit Kumar Singh
- Experimental Immunology Branch, NCI, NIH, Bethesda, MD 20892, USA
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9
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Stephenson-Gussinye A, Furlan-Magaril M. Chromosome conformation capture technologies as tools to detect structural variations and their repercussion in chromatin 3D configuration. Front Cell Dev Biol 2023; 11:1219968. [PMID: 37457299 PMCID: PMC10346842 DOI: 10.3389/fcell.2023.1219968] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 06/09/2023] [Indexed: 07/18/2023] Open
Abstract
3D genome organization regulates gene expression in different physiological and pathological contexts. Characterization of chromatin structure at different scales has provided information about how the genome organizes in the nuclear space, from chromosome territories, compartments of euchromatin and heterochromatin, topologically associated domains to punctual chromatin loops between genomic regulatory elements and gene promoters. In recent years, chromosome conformation capture technologies have also been used to characterize structural variations (SVs) de novo in pathological conditions. The study of SVs in cancer, has brought information about transcriptional misregulation that relates directly to the incidence and prognosis of the disease. For example, gene fusions have been discovered arising from chromosomal translocations that upregulate oncogenes expression, and other types of SVs have been described that alter large genomic regions encompassing many genes. However, studying SVs in 2D cannot capture all their regulatory implications in the genome. Recently, several bioinformatic tools have been developed to identify and classify SVs from chromosome conformation capture data and clarify how they impact chromatin structure in 3D, resulting in transcriptional misregulation. Here, we review recent literature concerning bioinformatic tools to characterize SVs from chromosome conformation capture technologies and exemplify their vast potential to rebuild the 3D landscape of genomes in cancer. The study of SVs from the 3D perspective can produce essential information about drivers, molecular targets, and disease evolution.
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10
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Tang ASO, Ahmad Asnawi AW, Koh AZY, Chong SL, Liew PK, Selvaratnam V, Md Fauzi A, Lau NS, Tan SM. Plasma Cell Leukemia with Successful Upfront Venetoclax in Combination with Allogeneic Transplantation. AMERICAN JOURNAL OF CASE REPORTS 2023; 24:e938868. [PMID: 36882990 PMCID: PMC10009647 DOI: 10.12659/ajcr.938868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
BACKGROUND Plasma cell leukemia (PCL) is an aggressive form of plasma cell neoplasm. We report the first case of primary PCL successfully treated with upfront novel agents consisting of Venetoclax and daratumumab in combination with intensive chemotherapy and allogeneic transplantation. CASE REPORT A 59-year-old woman presented with epistaxis, gum bleeding, and blurred vision. On examination, she appeared pale, with multiple petechiae and hepatomegaly. Fundoscopy revealed retinal hemorrhages. Laboratory investigations revealed bicytopenia and leukocytosis, with mild coagulopathy and hypofibrinogenemia. Elevated globulin and calcium levels were also observed. Serum protein electrophoresis demonstrated IgG lambda paraproteinemia, with a serum-free light chain kappa-to-lambda ratio of 0.074. A skeletal survey revealed the presence of lytic lesions. Bone marrow investigations confirmed the presence of lambda-light-chain-restricted clonal plasma cells. FISH detected t(11;14) and 17p13.1 deletion. Therefore, a final diagnosis of primary PCL was made. The patient received 1 cycle of bortezomib, cyclophosphamide, and dexamethasone (VCD) and 5 cycles of Venetoclax-VCD, followed by an unsuccessful stem cell mobilization. One cycle of daratumumab in combination with bortezomib, lenalidomide, and dexamethasone (VRD) was then given. The patient achieved complete remission. She underwent allogeneic stem cell transplantation of an HLA-matched sibling donor. Post-transplant marrow assessment showed disease remission and absence of t(11;14) and 17p deletions. She was administered pamidronate and lenalidomide maintenance. She remained clinically well with a good performance status and no active graft-versus-host disease 18 months after transplant. CONCLUSIONS The success of our patient in achieving complete remission has highlighted the efficacy and safety of this novel therapy in the front-line management of PCL.
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Affiliation(s)
- Andy Sing Ong Tang
- Hematology Department, Ampang Hospital, Ampang, Ministry of Health, Malaysia
| | - Asral Wirda Ahmad Asnawi
- Hematology Department, Ampang Hospital, Ampang, Ministry of Health, Malaysia.,Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Negeri Sembilan, Ministry of Health, Malaysia
| | - Alex Zhi Yang Koh
- Hematology Department, Ampang Hospital, Ampang, Ministry of Health, Malaysia
| | - Siew Lian Chong
- Hematology Department, Ampang Hospital, Ampang, Ministry of Health, Malaysia
| | - Pek Kuen Liew
- Hematology Department, Ampang Hospital, Ampang, Ministry of Health, Malaysia
| | - Veena Selvaratnam
- Hematology Department, Ampang Hospital, Ampang, Ministry of Health, Malaysia
| | - Alina Md Fauzi
- Hematology Department, Ampang Hospital, Ampang, Ministry of Health, Malaysia.,Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Negeri Sembilan, Ministry of Health, Malaysia
| | - Ngee Siang Lau
- Hematology Department, Ampang Hospital, Ampang, Ministry of Health, Malaysia
| | - Sen Mui Tan
- Hematology Department, Ampang Hospital, Ampang, Ministry of Health, Malaysia
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11
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Fitzpatrick MJ, Murali MR, Nardi V. Molecular Diagnostics of Plasma Cell Neoplasms. Surg Pathol Clin 2023; 16:401-410. [PMID: 37149365 DOI: 10.1016/j.path.2023.01.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Genetic characterization of myeloma at diagnosis by interphase fluorescence in situ hybridization and next-generation sequencing (NGS) can assist with risk stratification and treatment planning. Measurable residual disease (MRD) status after treatment, as evaluated by next-generation flow cytometry or NGS on bone marrow aspirate material, is one of the most important predictors of prognosis. Less-invasive tools for MRD assessment such as liquid biopsy approaches have also recently emerged as potential alternatives.
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12
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Hao Y, Zhang S, Shao C, Li J, Zhao G, Zhang DE, Fu XD. ZetaSuite: computational analysis of two-dimensional high-throughput data from multi-target screens and single-cell transcriptomics. Genome Biol 2022; 23:162. [PMID: 35879727 PMCID: PMC9310463 DOI: 10.1186/s13059-022-02729-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 07/07/2022] [Indexed: 11/10/2022] Open
Abstract
AbstractTwo-dimensional high-throughput data have become increasingly common in functional genomics studies, which raises new challenges in data analysis. Here, we introduce a new statistic called Zeta, initially developed to identify global splicing regulators from a two-dimensional RNAi screen, a high-throughput screen coupled with high-throughput functional readouts, and ZetaSuite, a software package to facilitate general application of the Zeta statistics. We compare our approach with existing methods using multiple benchmarked datasets and then demonstrate the broad utility of ZetaSuite in processing public data from large-scale cancer dependency screens and single-cell transcriptomics studies to elucidate novel biological insights.
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13
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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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14
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Hagen P, Sellin M, Berg S, Zhang J. Increasing genomic discovery in newly diagnosed multiple myeloma: defining disease biology and its correlation to risk. Ann Hematol 2022; 101:1407-1420. [PMID: 35585246 PMCID: PMC9756633 DOI: 10.1007/s00277-022-04856-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/25/2022] [Indexed: 01/03/2023]
Abstract
Our understanding of MM genomics has expanded rapidly in the past 5-10 years as a consequence of cytogenetic analyses obtained in routine clinical practice as well as the ability to perform whole-exome/genome sequencing and gene expression profiling on large patient data sets. This knowledge has offered new insights into disease biology and is increasingly defining high-risk genomic patterns. In this manuscript, we present a thorough review of our current knowledge of MM genomics. The epidemiology and biology of chromosomal abnormalities including both copy number abnormalities and chromosomal translocation are described in full with a focus on those most clinically impactful such as 1q amplification and del(17p) as well as certain chromosome 14 translocations. A review of our ever-expanding knowledge of genetic mutations derived from recent whole-genome/exome data sets is then reviewed including those that drive disease pathogenesis from precursor states as well as those that may impact clinical outcomes. We then transition and attempt to elucidate how both chromosomal abnormalities and gene mutations are evolving our understanding of disease risk. We conclude by offering our perspectives moving forward as to how we might apply whole-genome/exome-level data in addition to routine cytogenetic analyses to improve patient outcomes as well as further knowledge gaps that must be addressed.
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Affiliation(s)
- Patrick Hagen
- Department of Hematology/Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA
| | - Mark Sellin
- Department of Hematology/Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA
| | - Stephanie Berg
- Department of Cancer Biology, Oncology Institute, Cardinal Bernardin Cancer Center, Loyola University Medical Center, Maywood, IL, 60153, USA
| | - Jiwang Zhang
- Department of Cancer Biology, Oncology Institute, Cardinal Bernardin Cancer Center, Loyola University Medical Center, Maywood, IL, 60153, USA,Department of Pathology and Department of Radiation Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA
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15
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Linked-read whole-genome sequencing resolves common and private structural variants in multiple myeloma. Blood Adv 2022; 6:5009-5023. [PMID: 35675515 PMCID: PMC9631623 DOI: 10.1182/bloodadvances.2021006720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 05/31/2022] [Indexed: 01/18/2023] Open
Abstract
Linked-read WGS can be performed without DNA purification and allows for resolution of the diverse structural variants found in MM. Linked-read WGS can, as a standalone assay, provide comprehensive genetics in myeloma and other diseases with complex genomes.
Multiple myeloma (MM) is an incurable and aggressive plasma cell malignancy characterized by a complex karyotype with multiple structural variants (SVs) and copy-number variations (CNVs). Linked-read whole-genome sequencing (lrWGS) allows for refined detection and reconstruction of SVs by providing long-range genetic information from standard short-read sequencing. This makes lrWGS an attractive solution for capturing the full genomic complexity of MM. Here we show that high-quality lrWGS data can be generated from low numbers of cells subjected to fluorescence-activated cell sorting (FACS) without DNA purification. Using this protocol, we analyzed MM cells after FACS from 37 patients with MM using lrWGS. We found high concordance between lrWGS and fluorescence in situ hybridization (FISH) for the detection of recurrent translocations and CNVs. Outside of the regions investigated by FISH, we identified >150 additional SVs and CNVs across the cohort. Analysis of the lrWGS data allowed for resolution of the structure of diverse SVs affecting the MYC and t(11;14) loci, causing the duplication of genes and gene regulatory elements. In addition, we identified private SVs causing the dysregulation of genes recurrently involved in translocations with the IGH locus and show that these can alter the molecular classification of MM. Overall, we conclude that lrWGS allows for the detection of aberrations critical for MM prognostics and provides a feasible route for providing comprehensive genetics. Implementing lrWGS could provide more accurate clinical prognostics, facilitate genomic medicine initiatives, and greatly improve the stratification of patients included in clinical trials.
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16
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High-risk disease in newly diagnosed multiple myeloma: beyond the R-ISS and IMWG definitions. Blood Cancer J 2022; 12:83. [PMID: 35637223 PMCID: PMC9151761 DOI: 10.1038/s41408-022-00679-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/20/2022] [Accepted: 05/09/2022] [Indexed: 12/22/2022] Open
Abstract
Multiple myeloma (MM) is an acquired malignant plasma cell disorder that develops late in life. Although progression free and overall survival has improved across all age, race, and ethnic groups, a subset of patients have suboptimal outcomes and are labeled as having high risk disease. A uniform approach to risk in NDMM remains elusive despite several validated risk stratification systems in clinical use. While we attempt to capture risk at diagnosis, the reality is that many important prognostic characteristics remain ill-defined as some patients relapse early who were defined as low risk based on their genomic profile at diagnosis. It is critical to establish a definition of high risk disease in order to move towards risk-adapted treatment approaches. Defining risk at diagnosis is important to both effectively design future clinical trials and guide which clinical data is needed in routine practice. The goal of this review paper is to summarize and compare the various established risk stratification systems, go beyond the R-ISS and international myeloma working group risk stratifications to evaluate specific molecular and cytogenetic abnormalities and how they impact prognosis independently. In addition, we explore the wealth of new genomic information from recent whole genome/exome sequencing as well as gene expression data and review known clinical factors affecting outcome such as disease burden and early relapse as well as patient related factors such as race. Finally, we provide an outlook on developing a new high risk model system and how we might make sense of co-occurrences, oncogenic dependencies, and mutually exclusive mutations.
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17
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Crosstalk between Hepatitis B Virus and the 3D Genome Structure. Viruses 2022; 14:v14020445. [PMID: 35216038 PMCID: PMC8877387 DOI: 10.3390/v14020445] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/04/2022] [Accepted: 02/14/2022] [Indexed: 12/17/2022] Open
Abstract
Viruses that transcribe their DNA within the nucleus have to adapt to the existing cellular mechanisms that govern transcriptional regulation. Recent technological breakthroughs have highlighted the highly hierarchical organization of the cellular genome and its role in the regulation of gene expression. This review provides an updated overview on the current knowledge on how the hepatitis B virus interacts with the cellular 3D genome and its consequences on viral and cellular gene expression. We also briefly discuss the strategies developed by other DNA viruses to co-opt and sometimes subvert cellular genome spatial organization.
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18
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Deng J, Xiao W, Wang Z. FAM46C as a Potential Marker for Pan-Cancer Prognosis and Predicting Immunotherapeutic Efficacy. Front Genet 2022; 13:810252. [PMID: 35222533 PMCID: PMC8864238 DOI: 10.3389/fgene.2022.810252] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 01/18/2022] [Indexed: 12/28/2022] Open
Abstract
Background:FAM46C is a common mutated gene in tumours. A comprehensive understanding of the relationship between FAM46C expression and pan-cancer can guide clinical prognosis and broaden the immunotherapeutic targets.Methods: Data from The Cancer Genome Atlas and Genotype-Tissue Expression (GTEx) databases were obtained, and gene expression of different tumour types and stages was analysed. Immunohistochemical analysis was performed to detect differences in the FAM46C protein levels in normal and cancerous tissues. The genetic variation of FAM46C was characterised using cBioPortal. The clinical prognostic value of FAM46C and the impact of FAM46C expression levels on the prognosis of patients with different types of cancer were assessed based on Kaplan–Meier and Cox regression analyses. Gene set enrichment analysis (GSEA) was used to analyse the pathways associated with FAM46C. Correlations between FAM46C expression levels and immune infiltration were assessed using the TIMER2 database and CIBERSORT algorithm, and correlations between FAM46C expression and the ESTIMATE, immune and stromal scores were analysed using the ESTIMATE algorithm. In addition, we also analysed the correlation between FAM46C expression and immune activation, suppression genes and immune chemokines.Results: The expression level of FAM46C was correlated with the prognosis of most tumours, and low expression levels often suggested a poor prognosis. FAM46C was positively correlated with the abundance of CD4+ T cells, CD8+ T cells and plasma B lymphocytes in the tumour microenvironment. FAM46C exhibited a strong correlation with immunomodulatory pathways, immunomodulatory factors and immune markers. In addition, high FAM46C expression correlated with tumour mutational burden in acute myeloid leukaemia and microsatellite instability in endometrial cancer.Conclusion: Our study suggests that FAM46C can be a potential prognostic marker for pan-cancer, is closely associated with immune regulation and may be an immune checkpoint to guide future clinical immunotherapy.
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Affiliation(s)
- Jiehua Deng
- Centre of Imaging Diagnosis, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Wei Xiao
- Department of Clinical Medicine, Medical College of Shihezi University, Shihezi, China
| | - Zheng Wang
- Centre of Imaging Diagnosis, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
- *Correspondence: Zheng Wang,
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19
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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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20
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Belloucif Y, Lobry C. Super-Enhancers Dysregulations in Hematological Malignancies. Cells 2022; 11:196. [PMID: 35053311 PMCID: PMC8774084 DOI: 10.3390/cells11020196] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/17/2021] [Accepted: 12/27/2021] [Indexed: 01/27/2023] Open
Abstract
Hematological malignancies affecting either the lymphoid or the myeloid lineages involve epigenetic mutations or dysregulation in the majority of cases. These epigenetic abnormalities can affect regulatory elements in the genome and, particularly, enhancers. Recently, large regulatory elements known as super-enhancers, initially identified for their critical roles in cell-type specific expression regulation of genes controlling cell identity, have been shown to also be involved in tumorigenesis in many cancer types and hematological malignancies via the regulation of numerous oncogenes, including MYC. In this review, we highlight the existing links between super-enhancers and hematological malignancies, with a particular focus on acute myeloid leukemia, a clonal hematopoietic neoplasm with dismal outcomes, resulting in an uncontrolled proliferation of myeloblasts, abnormally blocked during differentiation and accumulating within the patient's bone marrow. We report recent works, performed during the last few years, treating this subject and consider the possibility of targeting oncogenic regulatory elements, as well as the effectiveness and limitations reported so far for such strategies.
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Affiliation(s)
| | - Camille Lobry
- INSERM U944, CNRS UMR7212, Institut de Recherche Saint Louis, Université de Paris, 75010 Paris, France;
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21
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Vervoort SJ, Devlin JR, Kwiatkowski N, Teng M, Gray NS, Johnstone RW. Targeting transcription cycles in cancer. Nat Rev Cancer 2022; 22:5-24. [PMID: 34675395 DOI: 10.1038/s41568-021-00411-8] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/09/2021] [Indexed: 12/15/2022]
Abstract
Accurate control of gene expression is essential for normal development and dysregulation of transcription underpins cancer onset and progression. Similar to cell cycle regulation, RNA polymerase II-driven transcription can be considered as a unidirectional multistep cycle, with thousands of unique transcription cycles occurring in concert within each cell. Each transcription cycle comprises recruitment, initiation, pausing, elongation, termination and recycling stages that are tightly controlled by the coordinated action of transcriptional cyclin-dependent kinases and their cognate cyclins as well as the opposing activity of transcriptional phosphatases. Oncogenic dysregulation of transcription can entail defective control of gene expression, either at select loci or more globally, impacting a large proportion of the genome. The resultant dependency on the core-transcriptional machinery is believed to render 'transcriptionally addicted' cancers sensitive to perturbation of transcription. Based on these findings, small molecules targeting transcriptional cyclin-dependent kinases and associated proteins hold promise for the treatment of cancer. Here, we utilize the transcription cycles concept to explain how dysregulation of these finely tuned gene expression processes may drive tumorigenesis and how therapeutically beneficial responses may arise from global or selective transcriptional perturbation. This conceptual framework helps to explain tumour-selective transcriptional dependencies and facilitates the rational design of combination therapies.
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Affiliation(s)
- Stephin J Vervoort
- Gene Regulation Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Jennifer R Devlin
- Gene Regulation Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Nicholas Kwiatkowski
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mingxing Teng
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nathanael S Gray
- Department of Chemical and Systems Biology, CHEM-H and SCI, Stanford Medical School, Stanford University, Stanford, CA, USA.
| | - Ricky W Johnstone
- Gene Regulation Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.
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22
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Aksenova AY, Zhuk AS, Lada AG, Zotova IV, Stepchenkova EI, Kostroma II, Gritsaev SV, Pavlov YI. Genome Instability in Multiple Myeloma: Facts and Factors. Cancers (Basel) 2021; 13:5949. [PMID: 34885058 PMCID: PMC8656811 DOI: 10.3390/cancers13235949] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/20/2021] [Accepted: 11/22/2021] [Indexed: 02/06/2023] Open
Abstract
Multiple myeloma (MM) is a malignant neoplasm of terminally differentiated immunoglobulin-producing B lymphocytes called plasma cells. MM is the second most common hematologic malignancy, and it poses a heavy economic and social burden because it remains incurable and confers a profound disability to patients. Despite current progress in MM treatment, the disease invariably recurs, even after the transplantation of autologous hematopoietic stem cells (ASCT). Biological processes leading to a pathological myeloma clone and the mechanisms of further evolution of the disease are far from complete understanding. Genetically, MM is a complex disease that demonstrates a high level of heterogeneity. Myeloma genomes carry numerous genetic changes, including structural genome variations and chromosomal gains and losses, and these changes occur in combinations with point mutations affecting various cellular pathways, including genome maintenance. MM genome instability in its extreme is manifested in mutation kataegis and complex genomic rearrangements: chromothripsis, templated insertions, and chromoplexy. Chemotherapeutic agents used to treat MM add another level of complexity because many of them exacerbate genome instability. Genome abnormalities are driver events and deciphering their mechanisms will help understand the causes of MM and play a pivotal role in developing new therapies.
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Affiliation(s)
- Anna Y. Aksenova
- Laboratory of Amyloid Biology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Anna S. Zhuk
- International Laboratory “Computer Technologies”, ITMO University, 197101 St. Petersburg, Russia;
| | - Artem G. Lada
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA;
| | - Irina V. Zotova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Elena I. Stepchenkova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Ivan I. Kostroma
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Sergey V. Gritsaev
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Youri I. Pavlov
- Eppley Institute for Research in Cancer, Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
- Departments of Biochemistry and Molecular Biology, Microbiology and Pathology, Genetics Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
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23
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Traversa D, Simonetti G, Tolomeo D, Visci G, Macchia G, Ghetti M, Martinelli G, Kristensen LS, Storlazzi CT. Unravelling similarities and differences in the role of circular and linear PVT1 in cancer and human disease. Br J Cancer 2021; 126:835-850. [PMID: 34754096 PMCID: PMC8927338 DOI: 10.1038/s41416-021-01584-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 08/27/2021] [Accepted: 10/04/2021] [Indexed: 12/15/2022] Open
Abstract
The plasmacytoma variant translocation 1 (PVT1) is a long non-coding RNA gene involved in human disease, mainly in cancer onset/progression. Although widely analysed, its biological roles need to be further clarified. Notably, functional studies on PVT1 are complicated by the occurrence of multiple transcript variants, linear and circular, which generate technical issues in the experimental procedures used to evaluate its impact on human disease. Among the many PVT1 transcripts, the linear PVT1 (lncPVT1) and the circular hsa_circ_0001821 (circPVT1) are frequently reported to perform similar pathologic and pro-tumorigenic functions when overexpressed. The stimulation of cell proliferation, invasion and drug resistance, cell metabolism regulation, and apoptosis inhibition is controlled through multiple targets, including MYC, p21, STAT3, vimentin, cadherins, the PI3K/AKT, HK2, BCL2, and CASP3. However, some of this evidence may originate from an incorrect evaluation of these transcripts as two separate molecules, as they share the lncPVT1 exon-2 sequence. We here summarise lncPVT1/circPVT1 functions by mainly focusing on shared pathways, pointing out the potential bias that may exist when the biological role of each transcript is analysed. These considerations may improve the knowledge about lncPVT1/circPVT1 and their specific targets, which deserve further studies due to their diagnostic, prognostic, and therapeutic potential.
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Affiliation(s)
- Debora Traversa
- Department of Biology, University of Bari "Aldo Moro", Bari, Italy
| | - Giorgia Simonetti
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, FC, Italy
| | - Doron Tolomeo
- Department of Biology, University of Bari "Aldo Moro", Bari, Italy
| | - Grazia Visci
- Department of Biology, University of Bari "Aldo Moro", Bari, Italy
| | - Gemma Macchia
- Department of Biology, University of Bari "Aldo Moro", Bari, Italy
| | - Martina Ghetti
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, FC, Italy
| | - Giovanni Martinelli
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, FC, Italy
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24
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Lomas OC, Gooding S, Cabes M, Dreau H, Wilson E, Polzella P, Ramasamy K, Hamblin AD. Validation of clinical-grade whole genome sequencing reproduces cytogenetic analysis and identifies mutational landscape in newly-diagnosed multiple myeloma patients: A pilot study from the 100,000 Genomes Project. EJHAEM 2021; 2:809-812. [PMID: 35845211 PMCID: PMC9175844 DOI: 10.1002/jha2.276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 07/26/2021] [Accepted: 07/26/2021] [Indexed: 11/23/2022]
Abstract
Multiple myeloma is characterized by chromosomal abnormalities and genetic variation, which may inform prognosis and guide treatment. This pilot study sought to examine the feasibility of incorporating Whole Genome Sequencing (WGS) alongside the routine laboratory evaluation of 14 patients with newly diagnosed multiple myeloma who had enrolled in the 100,000 Genomes Project. In all 14 cases, WGS data could be obtained in a timely fashion within existing clinical frameworks in a tertiary hospital setting. The data not only replicated standard-of-care FISH analysis of chromosomal abnormalities but also provided further chromosomal and molecular genetic insights that may influence patient management.
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Affiliation(s)
- Oliver C. Lomas
- Department of ClinicalHaematologyJohn Radcliffe and Churchill HospitalsOxford University Hospitals NHS TrustOxfordUK
| | - Sarah Gooding
- Department of ClinicalHaematologyJohn Radcliffe and Churchill HospitalsOxford University Hospitals NHS TrustOxfordUK
| | - Maite Cabes
- Department of ClinicalHaematologyJohn Radcliffe and Churchill HospitalsOxford University Hospitals NHS TrustOxfordUK
| | - Helene Dreau
- Department of ClinicalHaematologyJohn Radcliffe and Churchill HospitalsOxford University Hospitals NHS TrustOxfordUK
| | - Edward Wilson
- Department of ClinicalHaematologyJohn Radcliffe and Churchill HospitalsOxford University Hospitals NHS TrustOxfordUK
| | - Paolo Polzella
- Department of ClinicalHaematologyJohn Radcliffe and Churchill HospitalsOxford University Hospitals NHS TrustOxfordUK
| | | | - Karthik Ramasamy
- Department of ClinicalHaematologyJohn Radcliffe and Churchill HospitalsOxford University Hospitals NHS TrustOxfordUK
| | - Angela D. Hamblin
- Department of ClinicalHaematologyJohn Radcliffe and Churchill HospitalsOxford University Hospitals NHS TrustOxfordUK
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25
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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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From Bench to Bedside: The Evolution of Genomics and Its Implications for the Current and Future Management of Multiple Myeloma. ACTA ACUST UNITED AC 2021; 27:213-221. [PMID: 34549910 DOI: 10.1097/ppo.0000000000000523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
ABSTRACT The summation of 20 years of biological studies and the comprehensive analysis of more than 1000 multiple myeloma genomes with data linked to clinical outcome has enabled an increased understanding of the pathogenesis of multiple myeloma in the context of normal plasma cell biology. This novel data have facilitated the identification of prognostic markers and targets suitable for therapeutic manipulation. The challenge moving forward is to translate this genetic and biological information into the clinic to improve patient care. This review discusses the key data required to achieve this and provides a framework within which to explore the use of response-adapted, biologically targeted, molecularly targeted, and risk-stratified therapeutic approaches to improve the management of patients with multiple myeloma.
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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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Zanwar S, Kumar S. Disease heterogeneity, prognostication and the role of targeted therapy in multiple myeloma. Leuk Lymphoma 2021; 62:3087-3097. [PMID: 34304677 DOI: 10.1080/10428194.2021.1957875] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Multiple myeloma (MM) is a clonal plasma cell malignancy with a heterogeneous disease course. Insights into the genetics of the disease have identified certain high-risk cytogenetic features that are associated with adverse outcomes. While the advances in therapy have translated into dramatic improvements in the outcome of patients with MM, those with high-risk genetic features continue to perform poorly. This has resulted in a need for clinical trials focusing on the high-risk subgroup of MM as they search for additional biomarkers and therapeutic targets continue. In this review, we discuss the currently existing data on prognostic and predictive biomarkers in MM and speculate the role of treatment stratification based on the genetic features of the disease.
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Affiliation(s)
- Saurabh Zanwar
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Shaji Kumar
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
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29
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Perini T, Materozzi M, Milan E. The Immunity-malignancy equilibrium in multiple myeloma: lessons from oncogenic events in plasma cells. FEBS J 2021; 289:4383-4397. [PMID: 34117720 DOI: 10.1111/febs.16068] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/13/2021] [Accepted: 06/10/2021] [Indexed: 11/29/2022]
Abstract
Multiple myeloma (MM) is a malignancy of plasma cells (PC) that grow within the bone marrow and maintain massive immunoglobulin (Ig) production. Disease evolution is driven by genetic lesions, whose effects on cell biology and fitness underlie addictions and vulnerabilities of myeloma cells. Several genes mutated in myeloma are strictly involved in dictating PC identity and antibody factory function. Here, we evaluate the impact of mutations in IRF4, PRDM1, and XBP1, essential transcription factors driving the B to PC differentiation, on MM cell biology and homeostasis. These factors are highly specialized, with limited overlap in their downstream transcriptional programs. Indeed, IRF4 sustains metabolism, survival, and proliferation, while PRDM1 and XBP1 are mainly responsible for endoplasmic reticulum expansion and sustained Ig secretion. Interestingly, IRF4 undergoes activating mutations and translocations, while PRDM1 and XBP1 are hit by loss-of-function events, raising the hypothesis that containment of the secretory program, but not its complete extinction, may be beneficial to malignant PCs. Finally, recent studies unveiled that also the PRDM1 target, FAM46C/TENT5C, an onco-suppressor uniquely and frequently mutated or deleted in myeloma, is directly and potently involved in orchestrating ER homeostasis and secretory activity. Inactivating mutations found in this gene and its interactors strengthen the notion that reduced secretory capacity confers advantage to myeloma cells. We believe that dissection of the evolutionary pressure on genes driving PC-specific functions in myeloma will disclose the cellular strategies by which myeloma cells maintain an equilibrium between antibody production and survival, thus unveiling novel therapeutic targets.
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Affiliation(s)
- Tommaso Perini
- Age related Diseases Unit, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy.,University Vita-Salute San Raffaele, Milano, Italy.,Hematology and Bone Marrow Transplantation Unit, San Raffaele Scientific Institute, Milano, Italy
| | - Maria Materozzi
- Age related Diseases Unit, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy.,Department of Medicine, Surgery and Neurosciences, University of Siena, Italy
| | - Enrico Milan
- Age related Diseases Unit, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy.,University Vita-Salute San Raffaele, Milano, Italy
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30
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Role of 1q21 in Multiple Myeloma: From Pathogenesis to Possible Therapeutic Targets. Cells 2021; 10:cells10061360. [PMID: 34205916 PMCID: PMC8227721 DOI: 10.3390/cells10061360] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 05/23/2021] [Accepted: 05/28/2021] [Indexed: 12/26/2022] Open
Abstract
Multiple myeloma (MM) is characterized by an accumulation of malignant plasma cells (PCs) in the bone marrow (BM). The amplification of 1q21 is one of the most common cytogenetic abnormalities occurring in around 40% of de novo patients and 70% of relapsed/refractory MM. Patients with this unfavorable cytogenetic abnormality are considered to be high risk with a poor response to standard therapies. The gene(s) driving amplification of the 1q21 amplicon has not been fully studied. A number of clear candidates are under investigation, and some of them (IL6R, ILF2, MCL-1, CKS1B and BCL9) have been recently proposed to be potential drivers of this region. However, much remains to be learned about the biology of the genes driving the disease progression in MM patients with 1q21 amp. Understanding the mechanisms of these genes is important for the development of effective targeted therapeutic approaches to treat these patients for whom effective therapies are currently lacking. In this paper, we review the current knowledge about the pathological features, the mechanism of 1q21 amplification, and the signal pathway of the most relevant candidate genes that have been suggested as possible therapeutic targets for the 1q21 amplicon.
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31
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Zhang H, Zhang SH, Hu JL, Wu YT, Ma XY, Chen Y, Yu B, Liao S, Huang H, Gao S. Structural and functional characterization of multiple myeloma associated cytoplasmic poly(A) polymerase FAM46C. Cancer Commun (Lond) 2021; 41:615-630. [PMID: 34048638 PMCID: PMC8286142 DOI: 10.1002/cac2.12163] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 03/28/2021] [Accepted: 04/29/2021] [Indexed: 12/11/2022] Open
Abstract
Background Multiple myeloma (MM) is a hematologic malignancy characterized by the accumulation of aberrant plasma cells within the bone marrow. The high frequent mutation of family with sequence similarity 46, member C (FAM46C) is closely related with the occurrence and progression of MM. Recently, FAM46C has been identified as a non‐canonical poly(A) polymerase (PAP) that functions as a tumor suppressor in MM. This study aimed to elucidate the structural features of this novel non‐canonical PAP and how MM‐related mutations affect the structural and biochemical properties of FAM46C, eventually advancing our understandings towards FAM46C mutation‐related MM occurrence. Methods We purified and crystallized a mammalian FAM46C construct, and solved its structure. Next, we characterized the property of FAM46C as a PAP through a combination of structural analysis, site‐directed mutagenesis and biochemical assays, and by comparison with its homolog FAM46B. Finally, we structurally analyzed MM‐related FAM46C mutations and tested the enzymatic activity of corresponding mutants. Results We determined the crystal structure of a mammalian FAM46C protein at 2.35 Å, and confirmed that FAM46C preferentially consumed adenosine triphosphate (ATP) and extended A‐rich RNA substrates. FAM46C showed a weaker PAP activity than its homolog FAM46B, and this difference was largely dependent on the residue variance at particular sites. Of them, residues at positions 77, 290, and 298 of mouse FAM46C were most important for the divergence in enzymatic activity. Among the MM‐associated FAM46C mutants, those residing at the catalytic site (D90G and D90H) or putative RNA‐binding site (I155L, S156F, D182Y, F184L, Y247V, and M270V) showed abolished or compromised PAP activity of FAM46C, while N72A and S248A did not severely affect the PAP activity. FAM46C mutants D90G, D90H, I155L, S156F, F184L, Y247V, and M270V had significantly lower inhibitory effect on apoptosis of RPMI‐8226 cells as compared to wild‐type FAM46C. Conclusions FAM46C is a prokaryotic‐like PAP with preference for A‐rich RNA substrates, and showed distinct enzymatic efficiency with its homolog FAM46B. The MM‐related missense mutations of FAM46C lead to various structural and biochemical outcomes to the protein.
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Affiliation(s)
- Hong Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Shi-Hui Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Jia-Li Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, P. R. China
| | - Yu-Tong Wu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Xiao-Yan Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Yang Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Bing Yu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Shuang Liao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Huilin Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Song Gao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong, 510530, P. R. China
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32
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Schmidt TM, Callander NS. Progress in the Management of Smoldering Multiple Myeloma. Curr Hematol Malig Rep 2021; 16:172-182. [PMID: 33983517 DOI: 10.1007/s11899-021-00623-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW Smoldering multiple myeloma (SMM) is defined as an asymptomatic clonal proliferation of pre-malignant plasma cells and an increased risk of progression to multiple myeloma (MM) relative to monoclonal gammopathy of undetermined significance. Whether patients with SMM should be treated prior to development of symptomatic disease is fiercely debated and is a highly active area of research. RECENT FINDINGS The ECOG E3A06 study demonstrated that early treatment with lenalidomide significantly reduced the risk of progression to MM compared to observation in patients with high risk SMM. The IMWG recently validated a risk stratification model to include cytogenetics and a personalized risk calculator for individual patients. Beyond this, molecular genomic aberrations and immunological phenomena that promote progression from asymptomatic disease to MM have been recently characterized and may help to more precisely identify patients who are most suitable for early intervention. As highly effective and tolerable therapies for plasma cell disorders evolve, the field is approaching a paradigm shift that involves the adoption of intervention for patients with SMM who are at high risk for progression to symptomatic myeloma in order to prevent morbidity and mortality. This review highlights our current understanding of the biology of patients with SMM, clarifies the rationale for early intervention, and summarizes early results of various treatment strategies for patients with high-risk smoldering myeloma.
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Affiliation(s)
- Timothy M Schmidt
- University of Wisconsin Carbone Cancer Center, 600 Highland Ave, Madison, WI, 3792, USA
| | - Natalie S Callander
- University of Wisconsin Carbone Cancer Center, 600 Highland Ave, Madison, WI, 3792, USA.
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33
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Maura F, Boyle EM, Rustad EH, Ashby C, Kaminetzky D, Bruno B, Braunstein M, Bauer M, Blaney P, Wang Y, Ghamlouch H, Williams L, Stoeckle J, Davies FE, Walker BA, Maclachlan K, Diamond B, Landgren O, Morgan GJ. Chromothripsis as a pathogenic driver of multiple myeloma. Semin Cell Dev Biol 2021; 123:115-123. [PMID: 33958284 DOI: 10.1016/j.semcdb.2021.04.014] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 04/16/2021] [Indexed: 12/29/2022]
Abstract
Analysis of the genetic basis for multiple myeloma (MM) has informed many of our current concepts of the biology that underlies disease initiation and progression. Studying these events in further detail is predicted to deliver important insights into its pathogenesis, prognosis and treatment. Information from whole genome sequencing of structural variation is revealing the role of these events as drivers of MM. In particular, we discuss how the insights we have gained from studying chromothripsis suggest that it can be used to provide information on disease initiation and that, as a consequence, it can be used for the clinical classification of myeloma precursor diseases allowing for early intervention and prognostic determination. For newly diagnosed MM, the integration of information on the presence of chromothripsis has the potential to significantly enhance current risk prediction strategies and to better characterize patients with high-risk disease biology. In this article we summarize the genetic basis for MM and the role played by chromothripsis as a critical pathogenic factor active at early disease phases.
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Affiliation(s)
- Francesco Maura
- Myeloma Program, Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Eileen M Boyle
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Even H Rustad
- Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
| | - Cody Ashby
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Benedetto Bruno
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Marc Braunstein
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Michael Bauer
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Patrick Blaney
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Yubao Wang
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | | | - Louis Williams
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - James Stoeckle
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Faith E Davies
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Brian A Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology Indiana University, Indianapolis, IN, USA
| | - Kylee Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ben Diamond
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ola Landgren
- Myeloma Program, Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Gareth J Morgan
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
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34
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Theodorakakou F, Dimopoulos MA, Kastritis E. Mutation-dependent treatment approaches for patients with complex multiple myeloma. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2021. [DOI: 10.1080/23808993.2021.1893605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Foteini Theodorakakou
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Meletios A. Dimopoulos
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstathios Kastritis
- Plasma Cell Dyscrasia Unit, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
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35
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Lee Z, Raabe M, Hu WS. Epigenomic features revealed by ATAC-seq impact transgene expression in CHO cells. Biotechnol Bioeng 2021; 118:1851-1861. [PMID: 33521928 DOI: 10.1002/bit.27701] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/14/2021] [Accepted: 01/25/2021] [Indexed: 12/15/2022]
Abstract
Different regions of a mammalian genome have different accessibilities to transcriptional machinery. The integration site of a transgene affects how actively it is transcribed. Highly accessible genomic regions called super-enhancers have been recently described as strong regulatory elements that shape cell identity. Super-enhancers have been identified in Chinese hamster ovary (CHO) cells using the Assay for Transposase-Accessible Chromatin Sequencing (ATAC-seq). Genes near super-enhancer regions had high transcript levels and were enriched for oncogenic signaling and proliferation functions, consistent with an immortalized phenotype. Inaccessible regions in the genome with low ATAC signal also had low transcriptional activity. Genes in inaccessible regions were enriched for remote tissue functions such as taste, smell, and neuronal activation. A lentiviral reporter integration assay showed integration into super-enhancer regions conferred higher reporter expression than insertion into inaccessible regions. Targeted integration of an IgG vector into the Plec super-enhancer region yielded clones that expressed the immunoglobulin light chain gene mostly in the top 20% of all transcripts with the majority in the top 5%. The results suggest the epigenomic landscape of CHO cells can guide the selection of integration sites in the development of cell lines for therapeutic protein production.
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Affiliation(s)
- Zion Lee
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota, USA
| | - Marina Raabe
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota, USA
| | - Wei-Shou Hu
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota, USA
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Myeloma-specific superenhancers affect genes of biological and clinical relevance in myeloma. Blood Cancer J 2021; 11:32. [PMID: 33579893 PMCID: PMC7881003 DOI: 10.1038/s41408-021-00421-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 12/14/2020] [Accepted: 01/20/2021] [Indexed: 01/09/2023] Open
Abstract
Multiple myeloma (MM) is an aggressive plasma cell neoplasm characterized by genomic heterogeneity. Superenhancers (SEs) are defined as large clusters of enhancers in close genomic proximity, which regulate genes for maintaining cellular identity and promote oncogenic transcription to which cancer cells highly addicted. Here, we analyzed cis-regulatory elements in MM samples with H3K27ac ChIP-seq, to identify novel SE-associated genes involved in the myeloma pathogenesis. SEs and their associated genes in cancerous tissue were compared with the control samples, and we found SE analysis alone uncovered cell-lineage-specific transcription factors and well-known oncogenes ST3GAL6 and ADM. Using a transcriptional CDK7 inhibitor, THZ1, coupled with H3K27ac ChlP-seq, we identified MAGI2 as a novel SE-associated gene of myeloma cells. Elevated MAGI2 was related to myelomagenesis with gradual increased expression from MGUS, SMM to newly diagnosed and relapsed MM. High prevalence of MAGI2 was also associated with poor survival of MM patients. Importantly, inhibition of the SE activity associated with MAGI2 decreased MAGI2 expression, inhibited cell growth and induced cell apoptosis. Mechanistically, we revealed that the oncogenic transcription factor, MAF, directly bound to the SE region and activated gene transcription. In summary, the discoveries of these acquired SEs-associated genes and the novel mechanism by which they are regulated provide new insights into MM biology and MAGI2-MAF-SE regulatory circuit offer potential novel targets for disease treatment.
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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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38
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Metabolic Effects of Recurrent Genetic Aberrations in Multiple Myeloma. Cancers (Basel) 2021; 13:cancers13030396. [PMID: 33494394 PMCID: PMC7865460 DOI: 10.3390/cancers13030396] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/15/2021] [Accepted: 01/18/2021] [Indexed: 12/17/2022] Open
Abstract
Oncogene activation and malignant transformation exerts energetic, biosynthetic and redox demands on cancer cells due to increased proliferation, cell growth and tumor microenvironment adaptation. As such, altered metabolism is a hallmark of cancer, which is characterized by the reprogramming of multiple metabolic pathways. Multiple myeloma (MM) is a genetically heterogeneous disease that arises from terminally differentiated B cells. MM is characterized by reciprocal chromosomal translocations that often involve the immunoglobulin loci and a restricted set of partner loci, and complex chromosomal rearrangements that are associated with disease progression. Recurrent chromosomal aberrations in MM result in the aberrant expression of MYC, cyclin D1, FGFR3/MMSET and MAF/MAFB. In recent years, the intricate mechanisms that drive cancer cell metabolism and the many metabolic functions of the aforementioned MM-associated oncogenes have been investigated. Here, we discuss the metabolic consequences of recurrent chromosomal translocations in MM and provide a framework for the identification of metabolic changes that characterize MM cells.
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39
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Sessa M, Cavazzini F, Cavallari M, Rigolin GM, Cuneo A. A Tangle of Genomic Aberrations Drives Multiple Myeloma and Correlates with Clinical Aggressiveness of the Disease: A Comprehensive Review from a Biological Perspective to Clinical Trial Results. Genes (Basel) 2020; 11:E1453. [PMID: 33287156 PMCID: PMC7761770 DOI: 10.3390/genes11121453] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 11/24/2020] [Accepted: 12/01/2020] [Indexed: 12/12/2022] Open
Abstract
Multiple myeloma (MM) is a genetically heterogeneous disease, in which the process of tumorigenesis begins and progresses through the appearance and accumulation of a tangle of genomic aberrations. Several are the mechanisms of DNA damage in MM, varying from single nucleotide substitutions to complex genomic events. The timing of appearance of aberrations is well studied due to the natural history of the disease, that usually progress from pre-malignant to malignant phase. Different kinds of aberrations carry different prognostic significance and have been associated with drug resistance in some studies. Certain genetic events are well known to be associated with prognosis and are incorporated in risk evaluation in MM at diagnosis in the revised International Scoring System (R-ISS). The significance of some other aberrations needs to be further explained. Since now, few phase 3 randomized trials included analysis on patient's outcomes according to genetic risk, and further studies are needed to obtain useful data to stratify the choice of initial and subsequent treatment in MM.
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Affiliation(s)
- Mariarosaria Sessa
- Hematology Section, Department of Medical Sciences, Azienda Ospedaliero-Universitaria, Arcispedale S.Anna, University of Ferrara, 44121 Ferrara, Italy
| | - Francesco Cavazzini
- Hematology Section, Department of Medical Sciences, Azienda Ospedaliero-Universitaria, Arcispedale S.Anna, University of Ferrara, 44121 Ferrara, Italy
| | - Maurizio Cavallari
- Hematology Section, Department of Medical Sciences, Azienda Ospedaliero-Universitaria, Arcispedale S.Anna, University of Ferrara, 44121 Ferrara, Italy
| | - Gian Matteo Rigolin
- Hematology Section, Department of Medical Sciences, Azienda Ospedaliero-Universitaria, Arcispedale S.Anna, University of Ferrara, 44121 Ferrara, Italy
| | - Antonio Cuneo
- Hematology Section, Department of Medical Sciences, Azienda Ospedaliero-Universitaria, Arcispedale S.Anna, University of Ferrara, 44121 Ferrara, Italy
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40
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Ninkovic S, Quach H. Shaping the Treatment Paradigm Based on the Current Understanding of the Pathobiology of Multiple Myeloma: An Overview. Cancers (Basel) 2020; 12:E3488. [PMID: 33238653 PMCID: PMC7700434 DOI: 10.3390/cancers12113488] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 11/11/2020] [Accepted: 11/19/2020] [Indexed: 02/06/2023] Open
Abstract
Multiple myeloma is an incurable malignancy which despite progressive improvements in overall survival over the last decade remains characterised by recurrent relapse with progressively shorter duration of response and treatment-free intervals with each subsequent treatment. Efforts to unravel the complex and heterogeneous genomic alterations, the marked dysregulation of the immune system and the multifarious interplay between malignant plasma cells and those of the tumour microenvironment have not only led to improved understanding of myelomagenesis and disease progression but have facilitated the rapid development of novel therapeutics including immunotherapies and small molecules bringing us a step closer to therapies that no doubt will extend survival. Novel therapeutic combinations both in the upfront and relapsed setting as well as novel methods to assess response and guide management are rapidly transforming the management of myeloma.
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Affiliation(s)
- Slavisa Ninkovic
- Department of Haematology, St. Vincent’s Hospital Melbourne, Fitzroy, VIC 3065, Australia;
- Faculty of Medicine, University of Melbourne, Fitzroy, VIC 3065, Australia
| | - Hang Quach
- Department of Haematology, St. Vincent’s Hospital Melbourne, Fitzroy, VIC 3065, Australia;
- Faculty of Medicine, University of Melbourne, Fitzroy, VIC 3065, Australia
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41
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Rustad EH, Yellapantula VD, Glodzik D, Maclachlan KH, Diamond B, Boyle EM, Ashby C, Blaney P, Gundem G, Hultcrantz M, Leongamornlert D, Angelopoulos N, Agnelli L, Auclair D, Zhang Y, Dogan A, Bolli N, Papaemmanuil E, Anderson KC, Moreau P, Avet-Loiseau H, Munshi NC, Keats JJ, Campbell PJ, Morgan GJ, Landgren O, Maura F. Revealing the impact of structural variants in multiple myeloma. Blood Cancer Discov 2020; 1:258-273. [PMID: 33392515 PMCID: PMC7774871 DOI: 10.1158/2643-3230.bcd-20-0132] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 08/26/2020] [Accepted: 09/10/2020] [Indexed: 02/07/2023] Open
Abstract
The landscape of structural variants (SVs) in multiple myeloma remains poorly understood. Here, we performed comprehensive analysis of SVs in a large cohort of 752 multiple myeloma patients by low coverage long-insert whole genome sequencing. We identified 68 SV hotspots involving 17 new candidate driver genes, including the therapeutic targets BCMA (TNFRSF17), SLAMF and MCL1. Catastrophic complex rearrangements termed chromothripsis were present in 24% of patients and independently associated with poor clinical outcomes. Templated insertions were the second most frequent complex event (19%), mostly involved in super-enhancer hijacking and activation of oncogenes such as CCND1 and MYC. Importantly, in 31% of patients two or more seemingly independent putative driver events were caused by a single structural event, demonstrating that the complex genomic landscape of multiple myeloma can be acquired through few key events during tumor evolutionary history. Overall, this study reveals the critical role of SVs in multiple myeloma pathogenesis.
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Affiliation(s)
- Even H Rustad
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Venkata D Yellapantula
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Dominik Glodzik
- Epidemiology & Biostatistics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kylee H Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Benjamin Diamond
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Cody Ashby
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | | | - Gunes Gundem
- Epidemiology & Biostatistics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Daniel Leongamornlert
- The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | - Nicos Angelopoulos
- The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
- School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom
| | - Luca Agnelli
- Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Daniel Auclair
- Multiple Myeloma Research Foundation (MMRF), Norwalk, Connecticut
| | - Yanming Zhang
- Cytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ahmet Dogan
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Niccolò Bolli
- Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy
- Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elli Papaemmanuil
- Epidemiology & Biostatistics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kenneth C Anderson
- Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Philippe Moreau
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France
| | | | - Nikhil C Munshi
- Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- Veterans Administration Boston Healthcare System, West Roxbury, Massachusetts
| | - Jonathan J Keats
- Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Peter J Campbell
- The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | | | - Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Francesco Maura
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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42
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Ryan KR, Giles F, Morgan GJ. Targeting both BET and CBP/EP300 proteins with the novel dual inhibitors NEO2734 and NEO1132 leads to anti-tumor activity in multiple myeloma. Eur J Haematol 2020; 106:90-99. [PMID: 32997383 DOI: 10.1111/ejh.13525] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 09/22/2020] [Accepted: 09/23/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Two promising epigenetic therapeutic targets have emerged for the treatment of hematologic malignancies, BET and CBP/EP300 proteins. Several studies have shown that targeting these individual classes of proteins has anti-tumor activity in multiple myeloma (MM), as well as other cancers. Here, we present the first data exploring the anti-tumor activity of two novel dual inhibitors, NEO2734 and NEO1132, of both BET and CBP/EP300 proteins in MM. METHODS Sixteen MM cell lines (MMCLs) were treated with the dual inhibitors NEO2734 and NEO1132, the single BET inhibitors JQ1, OTX015, IBET-762, and IBET-151, and a single CBP/EP300 inhibitor CPI-637. RESULTS The dual inhibitor NEO2734 showed strong anti-tumor activity and was consistently highly active against all MMCLs, being as potent as JQ1 and more so than other single inhibitors. NEO2734 and NEO11132 induced a significant G1 cell cycle arrest and decreased c-MYC and IRF4 protein levels in MMCLs compared to the other single inhibitors. Sensitivity to the dual inhibitors was not dependent on a specific MM molecular subgroup but correlated with c-MYC protein expression levels. CONCLUSIONS The dual inhibition of BET and CBP/EP300 has potential therapeutic benefits for patients with MM.
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Affiliation(s)
| | - Francis Giles
- Developmental Therapeutics Consortium, Chicago, IL, USA
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43
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Abdallah N, Baughn LB, Rajkumar SV, Kapoor P, Gertz MA, Dispenzieri A, Lacy MQ, Hayman SR, Buadi FK, Dingli D, Go RS, Hwa YL, Fonder A, Hobbs M, Lin Y, Leung N, Kourelis T, Warsame R, Siddiqui M, Lust J, Kyle RA, Ketterling R, Bergsagel L, Greipp P, Kumar SK. Implications of MYC Rearrangements in Newly Diagnosed Multiple Myeloma. Clin Cancer Res 2020; 26:6581-6588. [PMID: 33008815 DOI: 10.1158/1078-0432.ccr-20-2283] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/20/2020] [Accepted: 09/29/2020] [Indexed: 12/18/2022]
Abstract
PURPOSE Rearrangements involving the MYC protooncogene are common in newly diagnosed multiple myeloma, but their prognostic significance is still unclear. The purpose of this study was to assess the impact of MYC rearrangement on clinical characteristics, treatment response, and survival in patients with newly diagnosed multiple myeloma. EXPERIMENTAL DESIGN This is a retrospective study including 1,342 patients seen in Mayo Clinic in Rochester, MN, from January 2006 to January 2018, who had cytogenetic testing by FISH at diagnosis, including MYC testing using the break apart FISH probe (8q24.1). RESULTS A rearrangement involving MYC was found in 8% of patients and was associated with elevated β2-microglobulin, ≥50% bone marrow plasma cells, IgA multiple myeloma, and the cooccurrence of trisomies. There were no differences in overall response rates between patients with and without MYC rearrangement when induction chemotherapy was proteasome inhibitor (PI)-based, immunomodulatory drug (IMiD)-based or PI + IMiD-based. Overall survival was shorter in patients with MYC rearrangement compared with patients without MYC rearrangement (5.3 vs. 8.0 years, P < 0.001). MYC rearrangement was associated with increased risk of death on multivariate analysis when high-risk cytogenetic abnormalities, ISS stage III, and ≥70 years of age were included (risk ratio: 1.5; P = 0.007). CONCLUSIONS MYC rearrangement is associated with high disease burden and is an independent adverse prognostic factor in patients with newly diagnosed multiple myeloma.
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Affiliation(s)
| | - Linda B Baughn
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | | | | | - Morie A Gertz
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | | | - Martha Q Lacy
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | | | | | - David Dingli
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Ronald S Go
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Yi L Hwa
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Amie Fonder
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Miriam Hobbs
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Yi Lin
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Nelson Leung
- Division of Hematology, Mayo Clinic, Rochester, Minnesota.,Division of Nephrology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | | | - Rahma Warsame
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | | | - John Lust
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Robert A Kyle
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Rhett Ketterling
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Phoenix, Arizona
| | - Patricia Greipp
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Shaji K Kumar
- Division of Hematology, Mayo Clinic, Rochester, Minnesota.
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44
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Zhang S, DuBois W, Zhang K, Simmons JK, Hughitt VK, Gorjifard S, Gaikwad S, Peat TJ, Mock BA. Mouse tumor susceptibility genes identify drug combinations for multiple myeloma. ACTA ACUST UNITED AC 2020; 6. [PMID: 32923678 PMCID: PMC7486007 DOI: 10.20517/2394-4722.2020.40] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Long-term genetic studies utilizing backcross and congenic strain analyses coupled with positional cloning strategies and functional studies identified Cdkn2a, Mtor, and Mndal as mouse plasmacytoma susceptibility/resistance genes. Tumor incidence data in congenic strains carrying the resistance alleles of Cdkn2a and Mtor led us to hypothesize that drug combinations affecting these pathways are likely to have an additive, if not synergistic effect in inhibiting tumor cell growth. Traditional and novel systems-level genomic approaches were used to assess combination activity, disease specificity, and clinical potential of a drug combination involving rapamycin/everolimus, an Mtor inhibitor, with entinostat, an histone deacetylase inhibitor. The combination synergistically repressed oncogenic MYC and activated the Cdkn2a tumor suppressor. The identification of MYC as a primary upstream regulator led to the identification of small molecule binders of the G-quadruplex structure that forms in the NHEIII region of the MYC promoter. These studies highlight the importance of identifying drug combinations which simultaneously upregulate tumor suppressors and downregulate oncogenes.
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Affiliation(s)
- Shuling Zhang
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA
| | - Wendy DuBois
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA
| | - Ke Zhang
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA
| | - John K Simmons
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA.,Personal Genome Diagnostics, Baltimore, MD 21224, USA
| | - V Keith Hughitt
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA
| | - Sayeh Gorjifard
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA.,University of Washington School of Medicine, Department of Genome Sciences, Seattle, WA 98195, USA
| | - Snehal Gaikwad
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA
| | - Tyler J Peat
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA
| | - Beverly A Mock
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA
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45
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Qu J, Ouyang Z, Wu W, Li G, Wang J, Lu Q, Li Z. Functions and Clinical Significance of Super-Enhancers in Bone-Related Diseases. Front Cell Dev Biol 2020; 8:534. [PMID: 32714929 PMCID: PMC7344144 DOI: 10.3389/fcell.2020.00534] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 06/08/2020] [Indexed: 12/14/2022] Open
Abstract
Super-enhancers (SEs) are a large cluster of cis-regulatory DNA elements that contain many binding motifs, which master transcription factors and cofactors bind to with high density. SEs usually regulate the expression of genes that can control the cell identity and fate, and SEs can be used to explain the patterns of the expression of cell-specific genes. Hence, it shows great potential for application in the treatment of diseases like cancer. At present, the clinical treatments for osteosarcoma, Ewing sarcoma, and other bone-related diseases remain challenging. The poor prognosis and difficult treatment of these diseases imposes heavy economic burden on patients and society. In recent years, research on SEs with respect to bone-related diseases has attracted increasing attention. In this paper, we first review the identification and functional mechanisms of SEs. Then, we integrate the findings of the emerging studies on SEs in bone-related diseases. Finally, we summarize recent strategies for targeting SEs for the treatment of bone-related diseases. This review aims to provide comprehensive insights into the roles of SEs in bone-related diseases.
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Affiliation(s)
- Jian Qu
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhanbo Ouyang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Wenqiang Wu
- Mathematical Engineering Academy of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guohua Li
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jiaojiao Wang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qiong Lu
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhihong Li
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
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46
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Offidani M, Boccadoro M, Di Raimondo F, Petrucci MT, Tosi P, Cavo M. Expert Panel Consensus Statement for Proper Evaluation of First Relapse in Multiple Myeloma. Curr Hematol Malig Rep 2020; 14:187-196. [PMID: 31077067 DOI: 10.1007/s11899-019-00507-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
PURPOSE OF REVIEW A working group of six expert physicians convened to assess the spectrum of multiple myeloma relapse presentations, discussed the features that can define the disease as aggressive and not aggressive, and established whether this information could help in selecting treatment together with the characteristics of disease and of patients and type of prior therapy. RECENT FINDINGS The working group agreed that relapse should be distinguished between biochemical and clinical according to IMWG. Moreover, the expert panel defined "aggressive disease" as a clinical condition that requires therapy able to induce a rapid and as deep as possible response to release symptoms and to avoid impending danger of new events. According to this definition, relapse was considered aggressive if it presents with at least one of the following features: doubling of M protein rate over 2 months, renal insufficiency, hypercalcemia, extramedullary disease, elevated LDH, high plasma cell proliferative index, presence of plasma cells in peripheral blood, or skeletal-related complications. Moreover, the panel agreed that this classification can be useful to choose therapy in first relapse together with other patient, disease, and prior therapy characteristics. So, this item was included in a new therapeutic algorithm. The treatment choice in MM at relapse is wider than in the past with the availability of many new therapeutic regimens leading to increased diversity of approaches and relevant risk of inappropriate treatment decisions. A practical classification of relapses into aggressive or non-aggressive, included in a decisional algorithm on MM management at first relapse, could help to make the appropriate treatment decisions.
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Affiliation(s)
- M Offidani
- Clinica di Ematologia, A.O.U. Ospedali Riuniti di Ancona, via Conca, 71, 60126, Ancona, Italy.
| | - M Boccadoro
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - F Di Raimondo
- Division of Hematology, AOU Policlinico-OVE, University of Catania, Catania, Italy
| | - M T Petrucci
- Department of Cellular Biotechnologies and Hematology, Sapienza University of Rome, Rome, Italy
| | - P Tosi
- Hematology Unit, Infermi Hospital Rimini, Rimini, Italy
| | - M Cavo
- Institute of Hematology Seragnoli, DIMES, University of Bologna, Bologna, Italy
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Di Bacco A, Bahlis NJ, Munshi NC, Avet‐Loiseau H, Masszi T, Viterbo L, Pour L, Ganly P, Cavo M, Langer C, Kumar SK, Rajkumar SV, Keats JJ, Berg D, Lin J, Li B, Badola S, Shen L, Zhang J, Esseltine D, Luptakova K, van de Velde H, Richardson PG, Moreau P. c-MYC expression and maturity phenotypes are associated with outcome benefit from addition of ixazomib to lenalidomide-dexamethasone in myeloma. Eur J Haematol 2020; 105:35-46. [PMID: 32145111 PMCID: PMC7317705 DOI: 10.1111/ejh.13405] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 02/26/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVES In the TOURMALINE-MM1 phase 3 trial in relapsed/refractory multiple myeloma, ixazomib-lenalidomide-dexamethasone (IRd) showed different magnitudes of progression-free survival (PFS) benefit vs placebo-Rd according to number and type of prior therapies, with greater benefit seen in patients with >1 prior line of therapy or 1 prior line of therapy without stem cell transplantation (SCT). METHODS RNA sequencing data were used to investigate the basis of these differences. RESULTS The PFS benefit of IRd vs placebo-Rd was greater in patients with tumors expressing high c-MYC levels (median not reached vs 11.3 months; hazard ratio [HR] 0.42; 95% CI, 0.26, 0.66; P < .001) compared with in those expressing low c-MYC levels (median 20.6 vs 16.6 months; HR 0.75; 95% CI, 0.42, 1.2). Expression of c-MYC in tumors varied based on the number and type of prior therapy received, with the lowest levels observed in tumors of patients who had received 1 prior line of therapy including SCT. These tumors also had higher expression levels of CD19 and CD81. CONCLUSIONS PFS analyses suggest that lenalidomide and ixazomib target tumors with different levels of c-MYC, CD19, and CD81 expression, thus providing a potential rationale for the differential benefits observed in the TOURMALINE-MM1 study. This trial was registered at www.clinicaltrials.gov as: NCT01564537.
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Affiliation(s)
- Alessandra Di Bacco
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | - Nizar J. Bahlis
- Southern Alberta Cancer Research InstituteUniversity of CalgaryCalgaryABCanada
| | | | | | - Tamás Masszi
- Department of Haematology and Stem Cell TransplantationSt. István and St. László Hospital of BudapestBudapestHungary
- 3rd Department of Internal MedicineSemmelweis UniversityBudapestHungary
| | - Luísa Viterbo
- Instituto Português de Oncologia do Porto Francisco Gentil, Entidade Pública Empresarial (IPOPFG, EPE)PortoPortugal
| | - Ludek Pour
- Hematology and OncologyUniversity Hospital BrnoBrnoCzech Republic
| | - Peter Ganly
- Department of HaematologyChristchurch HospitalChristchurchNew Zealand
| | - Michele Cavo
- Institute of Hematology and Medical Oncology "Seràgnoli"Bologna University School of MedicineS.Orsola's University HospitalBolognaItaly
| | | | | | | | | | - Deborah Berg
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | - Jianchang Lin
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | - Bin Li
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | - Sunita Badola
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | - Lei Shen
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | - Jacob Zhang
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | - Dixie‐Lee Esseltine
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | - Katarina Luptakova
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | - Helgi van de Velde
- Millennium Pharmaceuticals, Inc. (a wholly owned subsidiary of Takeda Pharmaceutical Company Limited)CambridgeMAUSA
| | | | - Philippe Moreau
- Department of HematologyUniversity Hospital Hôtel DieuUniversity of NantesNantesFrance
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48
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Abstract
Pathological cardiac remodeling is induced through multiple mechanisms that include neurohumoral and biomechanical stress resulting in transcriptional alterations that ultimately become maladaptive and lead to the development of heart failure (HF). Although cardiac transcriptional remodeling is mediated by the activation of numerous signaling pathways that converge on a limited number of transcription factors (TFs) that promote hypertrophy (pro-hypertrophic TFs), the current therapeutic approach to prevent HF utilizes pharmacological inhibitors that largely target specific receptors that are activated in response to pathological stimuli. Thus, there is limited efficacy with the current pharmacological approaches to inhibit transcriptional remodeling associated with the development of HF. Recent evidence suggests that these pro-hypertrophic TFs co-localize at enhancers to cooperatively activate transcription associated with pathological cardiac remodeling. In disease states, including cancer and HF, evidence suggests that the general transcriptional machinery is disproportionately bound at enhancers. Therefore, pharmacological inhibition of transcriptional machinery that integrates pro-hypertrophic TFs may represent a promising alternative therapeutic approach to limit pathological remodeling associated with the development of HF.
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49
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Tan Y, Li Y, Tang F. Oncogenic seRNA functional activation: a novel mechanism of tumorigenesis. Mol Cancer 2020; 19:74. [PMID: 32278350 PMCID: PMC7149907 DOI: 10.1186/s12943-020-01195-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Accepted: 03/30/2020] [Indexed: 02/06/2023] Open
Abstract
seRNA is a noncoding RNA (ncRNA) transcribed from active super-enhancer (SE), through which SE exerts biological functions and participates in various physiological and pathological processes. seRNA recruits cofactor, RNA polymerase II and mediator to constitute and stabilize chromatin loop SE and promoter region, which regulates target genes transcription. In tumorigenesis, DNA insertion, deletion, translocation, focal amplification and carcinogen factor mediate oncogenic SE generation, meanwhile, oncogenic SE transcribes into tumor-related seRNA, termed as oncogenic seRNA. Oncogenic seRNA participates in tumorigenesis through activating various signal-pathways. The recent reports showed that oncogenic seRNA implicates in a widespread range of cytopathological processes in cancer progression including cell proliferation, apoptosis, autophagy, epithelial-mesenchymal transition, extracellular matrix stiffness and angiogenesis. In this article, we comprehensively summarized seRNA’s characteristics and functions, and emphatically introduced inducible formation of oncogenic seRNA and its functional mechanisms. Lastly, some research strategies on oncogenic seRNA were introduced, and the perspectives on cancer therapy that targets oncogenic seRNA were also discussed.
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Affiliation(s)
- Yuan Tan
- Department of Clinical Laboratory and Hunan Key Laboratory of Oncotarget gene, Hunan Cancer Hospital & The affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, China
| | - Yuejin Li
- Department of Clinical Laboratory and Hunan Key Laboratory of Oncotarget gene, Hunan Cancer Hospital & The affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, China
| | - Faqing Tang
- Department of Clinical Laboratory and Hunan Key Laboratory of Oncotarget gene, Hunan Cancer Hospital & The affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, China.
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Beksac M, Balli S, Akcora Yildiz D. Drug Targeting of Genomic Instability in Multiple Myeloma. Front Genet 2020; 11:228. [PMID: 32373151 PMCID: PMC7179656 DOI: 10.3389/fgene.2020.00228] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 02/26/2020] [Indexed: 12/16/2022] Open
Abstract
Genomic instability can be observed at both chromosomal and chromatin levels. Instability at the macro level includes centrosome abnormalities (CA) resulting in numerical as well as structural chromosomal changes, whereas instability at the micro level is characterized by defects in DNA repair pathways resulting in microsatellite instability (MIN) or mutations. Genomic instability occurs during carcinogenesis without impairing survival and growth, though the precise mechanisms remain unclear. Solid tumors arising from most cells of epithelial origin are characterized by genomic instability which renders them resistant to chemotherapy and radiotherapy. This instability is also observed in 25% of myeloma patients and has been shown to be highly prognostic, independently of the international staging system (ISS). However, a biomarker of aberrant DNA repair and loss of heterozygosity (LOH), was only observed at a frequency of 5% in newly diagnosed patients. Several new molecules targeting the pathways involved in genomic instability are under development and some have already entered clinical trials. Poly(ADP-ribose) polymerase-1 (PARP) inhibitors have been FDA-approved for the treatment of breast cancer type 1 susceptibility protein (BRCA1)-mutated metastatic breast cancer, as well as ovarian and lung cancer. Topoisomerase inhibitors and epigenetic histone modification-targeting inhibitors, such as HDAC (Histone Deacetylase) inhibitors which are novel agents that can target genomic instability. Several of the small molecule inhibitors targeting chromosomal level instability such as PARP, Akt, Aurora kinase, cyclin dependent kinase or spindle kinase inhibitors have been tested in mouse models and early phase I/II trials. ATM, ATR kinase inhibitors and DNA helicase inhibitors are also promising novel agents. However, most of these drugs are not effective as single agents but appear to act synergistically with DNA damaging agents such as radiotherapy, platinum derivatives, immunomodulators, and proteasome inhibitors. In this review, new drugs targeting genomic instability and their mechanisms of action will be discussed.
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Affiliation(s)
- Meral Beksac
- Department of Hematology, School of Medicine, Ankara University, Ankara, Turkey
| | - Sevinc Balli
- Kars Selim Public Hospital, Internal Medicine, Kars, Turkey
| | - Dilara Akcora Yildiz
- Department of Biology, Science & Art Faculty, Burdur Mehmet Akif Ersoy University, Burdur, Turkey
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