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Pfeuffer L, Siegert V, Frede J, Rieger L, Trozzo R, de Andrade Krätzig N, Ring S, Sarhadi S, Beck N, Niedermeier S, Abril-Gil M, Elbahloul M, Remke M, Steiger K, Eichner R, Jellusova J, Rad R, Bassermann F, Winter C, Ruland J, Buchner M. B-cell intrinsic RANK signaling cooperates with TCL1 to induce lineage-dependent B-cell transformation. Blood Cancer J 2024; 14:151. [PMID: 39198400 PMCID: PMC11358282 DOI: 10.1038/s41408-024-01123-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 08/02/2024] [Accepted: 08/08/2024] [Indexed: 09/01/2024] Open
Abstract
B-cell malignancies, such as chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), remain incurable, with MM particularly prone to relapse. Our study introduces a novel mouse model with active RANK signaling and the TCL1 oncogene, displaying both CLL and MM phenotypes. In younger mice, TCL1 and RANK expression expands CLL-like B1-lymphocytes, while MM originates from B2-cells, becoming predominant in later stages and leading to severe disease progression and mortality. The induced MM mimics human disease, exhibiting features like clonal plasma cell expansion, paraproteinemia, anemia, and kidney and bone failure, as well as critical immunosurveillance strategies that promote a tumor-supportive microenvironment. This research elucidates the differential impacts of RANK activation in B1- and B2-cells and underscores the distinct roles of single versus combined oncogenes in B-cell malignancies. We also demonstrate that human MM cells express RANK and that inhibiting RANK signaling can reduce MM progression in a xenotransplantation model. Our study provides a rationale for further investigating the effects of RANK signaling in B-cell transformation and the shaping of a tumor-promoting microenvironment.
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Affiliation(s)
- Lisa Pfeuffer
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Viola Siegert
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Julia Frede
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
- Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Dana Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Leonie Rieger
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Department of Medicine III, TUM School of Medicine and Health, Technical University Munich, Munich, Germany
| | - Riccardo Trozzo
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Institute of Molecular Oncology and Functional Genomics, TUM School of Medicine and Health, Technical University of Munich, 81675, Munich, Germany
| | - Niklas de Andrade Krätzig
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Institute of Molecular Oncology and Functional Genomics, TUM School of Medicine and Health, Technical University of Munich, 81675, Munich, Germany
| | - Sandra Ring
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Shamim Sarhadi
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Nicole Beck
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Stefan Niedermeier
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Mar Abril-Gil
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Mohamed Elbahloul
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Department of Medicine III, TUM School of Medicine and Health, Technical University Munich, Munich, Germany
| | - Marianne Remke
- Institute of Pathology, Technical University Munich, Munich, Germany
| | - Katja Steiger
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
- Institute of Pathology, Technical University Munich, Munich, Germany
| | - Ruth Eichner
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Department of Medicine III, TUM School of Medicine and Health, Technical University Munich, Munich, Germany
| | - Julia Jellusova
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Roland Rad
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
- Institute of Molecular Oncology and Functional Genomics, TUM School of Medicine and Health, Technical University of Munich, 81675, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Florian Bassermann
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
- Department of Medicine III, TUM School of Medicine and Health, Technical University Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Bavarian Center for Cancer Research (BZKF), Munich, Germany
| | - Christof Winter
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
| | - Jürgen Ruland
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Center for Infection Research (DZIF), partner site Munich, 81675, Munich, Germany
| | - Maike Buchner
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany.
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2
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Kumar A, Kumar KV, Kundal K, Sengupta A, Sharma S, R K, Kumar R. MyeloDB: a multi-omics resource for multiple myeloma. Funct Integr Genomics 2024; 24:17. [PMID: 38244111 DOI: 10.1007/s10142-023-01280-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 01/22/2024]
Abstract
Multiple myeloma (MM) is a common type of blood cancer affecting plasma cells originating from the lymphoid B-cell lineage. It accounts for about 10% of all hematological malignancies and can cause significant end-organ damage. The emergence of genomic technologies such as next-generation sequencing and gene expression analysis has opened new possibilities for early detection of multiple myeloma and identification of personalized treatment options. However, there remain significant challenges to overcome in MM research, including integrating multi-omics data, achieving a comprehensive understanding of the disease, and developing targeted therapies and biomarkers. The extensive data generated by these technologies presents another challenge for data analysis and interpretation. To bridge this gap, we have developed a multi-omics open-access database called MyeloDB. It includes gene expression profiling, high-throughput CRISPR-Cas9 screens, drug sensitivity resources profile, and biomarkers. MyeloDB contains 47 expression profiles, 3 methylation profiles comprising a total of 5630 patient samples and 25 biomarkers which were reported in previous studies. In addition to this, MyeloDB can provide significant insight of gene mutations in MM on drug sensitivity. Furthermore, users can download the datasets and conduct their own analyses. Utilizing this database, we have identified five novel genes, i.e., CBFB, MANF, MBNL1, SEPHS2, and UFM1 as potential drug targets for MM. We hope MyeloDB will serve as a comprehensive platform for researchers and foster novel discoveries in MM. MyeloDB Database URL: https://project.iith.ac.in/cgntlab/myelodb/ .
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Affiliation(s)
- Ambuj Kumar
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India
| | - Keerthana Vinod Kumar
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India
| | - Kavita Kundal
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India
| | - Avik Sengupta
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India
| | - Simran Sharma
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India
| | - Kunjulakshmi R
- Department of Biological Sciences, Indian Institute of Science Education and Research, Berhampur, Odisha, 760010, India
| | - Rahul Kumar
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India.
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3
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Boiarsky R, Haradhvala NJ, Alberge JB, Sklavenitis-Pistofidis R, Mouhieddine TH, Zavidij O, Shih MC, Firer D, Miller M, El-Khoury H, Anand SK, Aguet F, Sontag D, Ghobrial IM, Getz G. Single cell characterization of myeloma and its precursor conditions reveals transcriptional signatures of early tumorigenesis. Nat Commun 2022; 13:7040. [PMID: 36396631 PMCID: PMC9672303 DOI: 10.1038/s41467-022-33944-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 10/03/2022] [Indexed: 11/18/2022] Open
Abstract
Multiple myeloma is a plasma cell malignancy almost always preceded by precursor conditions, but low tumor burden of these early stages has hindered the study of their molecular programs through bulk sequencing technologies. Here, we generate and analyze single cell RNA-sequencing of plasma cells from 26 patients at varying disease stages and 9 healthy donors. In silico dissection and comparison of normal and transformed plasma cells from the same bone marrow biopsy enables discovery of patient-specific transcriptional changes. Using Non-Negative Matrix Factorization, we discover 15 gene expression signatures which represent transcriptional modules relevant to myeloma biology, and identify a signature that is uniformly lost in abnormal cells across disease stages. Finally, we demonstrate that tumors contain heterogeneous subpopulations expressing distinct transcriptional patterns. Our findings characterize transcriptomic alterations present at the earliest stages of myeloma, providing insight into the molecular underpinnings of disease initiation.
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Affiliation(s)
- Rebecca Boiarsky
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- CSAIL and IMES, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Nicholas J Haradhvala
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Graduate Program in Biophysics, Cambridge, MA, USA
| | - Jean-Baptiste Alberge
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Romanos Sklavenitis-Pistofidis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Tarek H Mouhieddine
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Oksana Zavidij
- Constellation Pharmaceuticals a MorphoSys Company, Cambridge, MA, USA
| | - Ming-Chieh Shih
- CSAIL and IMES, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Mendy Miller
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Habib El-Khoury
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - David Sontag
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- CSAIL and IMES, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Irene M Ghobrial
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
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4
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Wang G, Fan F, Sun C, Hu Y. Looking into Endoplasmic Reticulum Stress: The Key to Drug-Resistance of Multiple Myeloma? Cancers (Basel) 2022; 14:5340. [PMID: 36358759 PMCID: PMC9654020 DOI: 10.3390/cancers14215340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/21/2022] [Accepted: 10/27/2022] [Indexed: 09/22/2023] Open
Abstract
Multiple myeloma (MM) is the second most common hematologic malignancy, resulting from the clonal proliferation of malignant plasma cells within the bone marrow. Despite significant advances that have been made with novel drugs over the past two decades, MM patients often develop therapy resistance, especially to bortezomib, the first-in-class proteasome inhibitor that was approved for treatment of MM. As highly secretory monoclonal protein-producing cells, MM cells are characterized by uploaded endoplasmic reticulum stress (ERS), and rely heavily on the ERS response for survival. Great efforts have been made to illustrate how MM cells adapt to therapeutic stresses through modulating the ERS response. In this review, we summarize current knowledge on the mechanisms by which ERS response pathways influence MM cell fate and response to treatment. Moreover, based on promising results obtained in preclinical studies, we discuss the prospect of applying ERS modulators to overcome drug resistance in MM.
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Affiliation(s)
- Guangqi Wang
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan 430022, China
| | - Fengjuan Fan
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan 430022, China
| | - Chunyan Sun
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan 430022, China
- Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yu Hu
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan 430022, China
- Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430074, China
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5
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Tumor cells in light-chain amyloidosis and myeloma show different transcriptional rewiring of normal plasma cell development. Blood 2021; 138:1583-1589. [PMID: 34133718 DOI: 10.1182/blood.2020009754] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 06/09/2021] [Indexed: 11/20/2022] Open
Abstract
Although light-chain amyloidosis (AL) and multiple myeloma (MM) are characterized by tumor plasma cell (PC) expansion in bone marrow (BM), their clinical presentation differs. Previous attempts to identify unique pathogenic mechanisms behind such differences were unsuccessful, but there are no studies investigating the differentiation stage of tumor PCs in patients with AL and MM. We sought to define a transcriptional atlas of normal PC development (n=11) in secondary lymphoid organs (SLO), peripheral blood (PB) and BM for comparison with the transcriptional programs (TPs) of tumor PCs in AL (n=37), MM (n=46) and MGUS (n=6). Based on bulk and single-cell RNAseq, we observed thirteen TPs during transition of normal PCs throughout SLO, PB and BM; that CD39 outperforms CD19 to discriminate new-born from long-lived BM-PCs; that tumor PCs expressed the most advantageous TPs of normal PC differentiation; that AL shares greater similarity to SLO-PCs whereas MM is transcriptionally closer to PB-PCs and new-born BM-PCs; that AL and MM patients enriched in immature TPs had inferior survival; and that TPs related with protein N-linked glycosylation are upregulated in AL. Collectively, we provide a novel resource to understand normal PC development and the transcriptional reorganization of AL and other monoclonal gammopathies.
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6
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Activating KRAS, NRAS, and BRAF mutants enhance proteasome capacity and reduce endoplasmic reticulum stress in multiple myeloma. Proc Natl Acad Sci U S A 2020; 117:20004-20014. [PMID: 32747568 DOI: 10.1073/pnas.2005052117] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
KRAS, NRAS, and BRAF mutations which activate p44/42 mitogen-activated protein kinase (MAPK) signaling are found in half of myeloma patients and contribute to proteasome inhibitor (PI) resistance, but the underlying mechanisms are not fully understood. We established myeloma cell lines expressing wild-type (WT), constitutively active (CA) (G12V/G13D/Q61H), or dominant-negative (DN) (S17N)-KRAS and -NRAS, or BRAF-V600E. Cells expressing CA mutants showed increased proteasome maturation protein (POMP) and nuclear factor (erythroid-derived 2)-like 2 (NRF2) expression. This correlated with an increase in catalytically active proteasome subunit β (PSMB)-8, PSMB9, and PSMB10, which occurred in an ETS transcription factor-dependent manner. Proteasome chymotrypsin-like, trypsin-like, and caspase-like activities were increased, and this enhanced capacity reduced PI sensitivity, while DN-KRAS and DN-NRAS did the opposite. Pharmacologic RAF or MAPK kinase (MEK) inhibitors decreased proteasome activity, and sensitized myeloma cells to PIs. CA-KRAS, CA-NRAS, and CA-BRAF down-regulated expression of endoplasmic reticulum (ER) stress proteins, and reduced unfolded protein response activation, while DN mutations increased both. Finally, a bortezomib (BTZ)/MEK inhibitor combination showed enhanced activity in vivo specifically in CA-NRAS models. Taken together, the data support the hypothesis that activating MAPK pathway mutations enhance PI resistance by increasing proteasome capacity, and provide a rationale for targeting such patients with PI/RAF or PI/MEK inhibitor combinations. Moreover, they argue these mutations promote myeloma survival by reducing cellular stress, thereby distancing plasma cells from the apoptotic threshold, potentially explaining their high frequency in myeloma.
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7
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Zhang Z, Zhang R, Hao C, Pei X, Li J, Wang L. GANT61 and Valproic Acid Synergistically Inhibited Multiple Myeloma Cell Proliferation via Hedgehog Signaling Pathway. Med Sci Monit 2020; 26:e920541. [PMID: 32054823 PMCID: PMC7034399 DOI: 10.12659/msm.920541] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background Multiple myeloma is featured by the proliferation of malignant plasma cell in bone marrow. We aimed to demonstrate the effects of valproic acid combined with GANT61 on multiple myeloma cell proliferation and clarify its mechanism. Material/Methods Multiple myeloma cells were exposed to valproic acid, GANT61, or the combination of valproic acid and GANT61, respectively. MTT assay was performed to detect the cell viability. Quantitative reverse transcriptase polymerase chain reaction and western blotting were used to detect mRNA and expression levels of proteins in Hedgehog signaling pathway. The Q-value of the combination regime was calculated to evaluate the drug combination effect. Results Both valproic acid and GANT61 alone inhibited multiple myeloma cell proliferation in a dose-dependent manner compared to the control. In the presence of GANT61 or not, valproic acid inhibited multiple myeloma cell proliferation in a time-dependent manner. These 2 drugs had a synergistic effect at valproic acid concentration of ≥4 mM. Expression analysis showed that valproic acid significantly inhibited the expression levels of PTCH1, GLI1, and HES-1. GANT61 enhanced the inhibition of Hedgehog signaling pathway mediated by valproic acid. Conclusions GANT61 and valproic acid inhibited multiple myeloma cell proliferation synergistically by inhibiting the Hedgehog signaling pathway. The present study may provide a combination regime for the therapy of multiple myeloma.
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Affiliation(s)
- Zhihua Zhang
- Department of Hematology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China (mainland)
| | - Rongjuan Zhang
- Department of Hematology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China (mainland)
| | - Changlai Hao
- Department of Hematology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China (mainland)
| | - Xiaochuan Pei
- Department of Hematology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China (mainland)
| | - Jundong Li
- Department of Hematology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China (mainland)
| | - Lihong Wang
- Department of Hematology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China (mainland)
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8
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A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis. Blood Adv 2019; 2:2400-2411. [PMID: 30254104 DOI: 10.1182/bloodadvances.2018018564] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 07/17/2018] [Indexed: 12/22/2022] Open
Abstract
Despite the recent progress in treatment of multiple myeloma (MM), it is still an incurable malignant disease, and we are therefore in need of new risk stratification tools that can help us to understand the disease and optimize therapy. Here we propose a new subtyping of myeloma plasma cells (PCs) from diagnostic samples, assigned by normal B-cell subset associated gene signatures (BAGS). For this purpose, we combined fluorescence-activated cell sorting and gene expression profiles from normal bone marrow (BM) Pre-BI, Pre-BII, immature, naïve, memory, and PC subsets to generate BAGS for assignment of normal BM subtypes in diagnostic samples. The impact of the subtypes was analyzed in 8 available data sets from 1772 patients' myeloma PC samples. The resulting tumor assignments in available clinical data sets exhibited similar BAGS subtype frequencies in 4 cohorts from de novo MM patients across 1296 individual cases. The BAGS subtypes were significantly associated with progression-free and overall survival in a meta-analysis of 916 patients from 3 prospective clinical trials. The major impact was observed within the Pre-BII and memory subtypes, which had a significantly inferior prognosis compared with other subtypes. A multiple Cox proportional hazard analysis documented that BAGS subtypes added significant, independent prognostic information to the translocations and cyclin D classification. BAGS subtype analysis of patient cases identified transcriptional differences, including a number of differentially spliced genes. We identified subtype differences in myeloma at diagnosis, with prognostic impact and predictive potential, supporting an acquired B-cell trait and phenotypic plasticity as a pathogenetic hallmark of MM.
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9
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Chen M, Mithraprabhu S, Ramachandran M, Choi K, Khong T, Spencer A. Utility of Circulating Cell-Free RNA Analysis for the Characterization of Global Transcriptome Profiles of Multiple Myeloma Patients. Cancers (Basel) 2019; 11:cancers11060887. [PMID: 31242667 PMCID: PMC6628062 DOI: 10.3390/cancers11060887] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 06/12/2019] [Accepted: 06/21/2019] [Indexed: 12/13/2022] Open
Abstract
In this study, we evaluated the utility of extracellular RNA (exRNA) derived from the plasma of multiple myeloma (MM) patients for whole transcriptome characterization. exRNA from 10 healthy controls (HC), five newly diagnosed (NDMM), and 12 relapsed and refractory (RRMM) MM patients were analyzed and compared. We showed that ~45% of the exRNA genes were protein-coding genes and ~85% of the identified genes were covered >70%. Compared to HC, we identified 632 differentially expressed genes (DEGs) in MM patients, of which 26 were common to NDMM and RRMM. We further identified 54 and 191 genes specific to NDMM and RRMM, respectively, and these included potential biomarkers such as LINC00863, MIR6754, CHRNE, ITPKA, and RGS18 in NDMM, and LINC00462, PPBP, RPL5, IER3, and MIR425 in RRMM, that were subsequently validated using droplet digital PCR. Moreover, single nucleotide polymorphisms and small indels were identified in the exRNA, including mucin family genes that demonstrated different rates of mutations between NDMM and RRMM. This is the first whole transcriptome study of exRNA in hematological malignancy and has provided the basis for the utilization of exRNA to enhance our understanding of the MM biology and to identify potential biomarkers relevant to the diagnosis and prognosis of MM patients.
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Affiliation(s)
- Maoshan Chen
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
| | - Sridurga Mithraprabhu
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
- Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne 3004, Australia.
| | - Malarmathy Ramachandran
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
- Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne 3004, Australia.
| | - Kawa Choi
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
- Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne 3004, Australia.
| | - Tiffany Khong
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
- Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne 3004, Australia.
| | - Andrew Spencer
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
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10
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Yu CY, Xiang S, Huang Z, Johnson TS, Zhan X, Han Z, Abu Zaid M, Huang K. Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression. Front Genet 2019; 10:468. [PMID: 31156714 PMCID: PMC6533571 DOI: 10.3389/fgene.2019.00468] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Accepted: 05/01/2019] [Indexed: 11/29/2022] Open
Abstract
Multiple myeloma (MM) has two clinical precursor stages of disease: monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). However, the mechanism of progression is not well understood. Because gene co-expression network analysis is a well-known method for discovering new gene functions and regulatory relationships, we utilized this framework to conduct differential co-expression analysis to identify interesting transcription factors (TFs) in two publicly available datasets. We then used copy number variation (CNV) data from a third public dataset to validate these TFs. First, we identified co-expressed gene modules in two publicly available datasets each containing three conditions: normal, MGUS, and SMM. These modules were assessed for condition-specific gene expression, and then enrichment analysis was conducted on condition-specific modules to identify their biological function and upstream TFs. TFs were assessed for differential gene expression between normal and MM precursors, then validated with CNV analysis to identify candidate genes. Functional enrichment analysis reaffirmed known functional categories in MM pathology, the main one relating to immune function. Enrichment analysis revealed a handful of differentially expressed TFs between normal and either MGUS or SMM in gene expression and/or CNV. Overall, we identified four genes of interest (MAX, TCF4, ZNF148, and ZNF281) that aid in our understanding of MM initiation and progression.
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Affiliation(s)
- Christina Y Yu
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States.,Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Shunian Xiang
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, United States.,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Zhi Huang
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States.,School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States
| | - Travis S Johnson
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States.,Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Xiaohui Zhan
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States.,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Zhi Han
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States.,Regenstrief Institute, Indianapolis, IN, United States
| | - Mohammad Abu Zaid
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Kun Huang
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States.,Regenstrief Institute, Indianapolis, IN, United States
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11
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Bai J, Wang J, Yang Y, Zhang W, Wang F, Zhang L, Chen H, Wang X, Feng Y, Shen Y, Huang L, He A. Serum platelet factor 4 is a promising predictor in newly diagnosed patients with multiple myeloma treated with thalidomide and VAD regimens. ACTA ACUST UNITED AC 2019; 24:387-391. [PMID: 30890040 DOI: 10.1080/16078454.2019.1592826] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Frequent loss of expression of platelet factor 4 (PF4) in multiple myeloma (MM) was revealed in several previous researches. The predictive analysis of serum PF4 level in newly diagnosed MM has not been well elucidated. This study is to assess if serum PF4 could be a prognostic factor in predicting treatment response and survival of MM treated with thalidomide and VAD regimens. METHODS Sera of 122 MM were gained pre- and post-treatment of chemotherapy and oral thalidomide. Serological PF4 measurements were performed by ELISA. Kaplan-Meier method was employed for survival analysis. Log rank test was used significance analysis. Multivariate analysis of overall survival used Cox-regression. RESULTS Our data showed that the median serum PF4 concentration was negatively associated with MM response and a significant correlation between serum PF4 level and unfavorable clinical features (β2-microglobulin, ISS stage, del17p and creatinine). MM with lower serum PF4 concentration at diagnosis were prone to gain complete remission and very good partial remission after two courses of chemotherapy. Besides del17p, β2-microglobulin, treatment response, the low serum PF4 concentration was an independent variable associated with a poor overall survival by univariate analysis and multivariate analysis. CONCLUSIONS We speculate serum PF4 is a promising response and prognostic factor in newly diagnosed MM treated with thalidomide and VAD regimens.
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Affiliation(s)
- Ju Bai
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Jianli Wang
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Yun Yang
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Wanggang Zhang
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Fangxia Wang
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Lei Zhang
- b Department of Clinical Lab , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Hongli Chen
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Xiaman Wang
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Yuandong Feng
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Ying Shen
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Lingjuan Huang
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
| | - Aili He
- a Department of Hematology , Second Affiliated Hospital, Xi'an Jiaotong University , Xi'an , People's Republic of China
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12
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Kellner J, Wallace C, Liu B, Li Z. Definition of a multiple myeloma progenitor population in mice driven by enforced expression of XBP1s. JCI Insight 2019; 4:124698. [PMID: 30944260 DOI: 10.1172/jci.insight.124698] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 02/19/2019] [Indexed: 12/20/2022] Open
Abstract
Multiple myeloma (MM) is an incurable plasma cell malignancy with frequent treatment failures and relapses, suggesting the existence of pathogenic myeloma stem/progenitor populations. However, the identity of MM stem cells remains elusive. We used a murine model of MM with transgenic overexpression of the unfolded protein response sensor X-box binding protein 1 (XBP1s) in the B cell compartment to define MM stem cells. We herein report that a post-germinal center, pre-plasma cell population significantly expands as MM develops. This population has the following characteristics: (a) cell surface phenotype of B220+CD19+IgM-IgD-CD138-CD80+sIgG-AA4.1+FSChi; (b) high expression levels of Pax5 and Bcl6 with intermediate levels of Blimp1 and XBP1s; (c) increased expression of aldehyde dehydrogenase, Notch1, and c-Kit; and (d) ability to efficiently reconstitute antibody-producing capacity in B cell-deficient mice in vivo. We thus have defined a plasma cell progenitor population that resembles myeloma stem cells in mice. These results provide potentially novel insights into MM stem cell biology and may contribute to the development of novel stem cell-targeted therapies for the eradication of MM.
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Affiliation(s)
| | | | - Bei Liu
- Department of Microbiology and Immunology and.,Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Zihai Li
- Department of Microbiology and Immunology and.,Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.,First Affiliated Hospital, Zhengzhou University School of Medicine, Zhengzhou, China
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13
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van Andel H, Kocemba KA, Spaargaren M, Pals ST. Aberrant Wnt signaling in multiple myeloma: molecular mechanisms and targeting options. Leukemia 2019; 33:1063-1075. [PMID: 30770859 PMCID: PMC6756057 DOI: 10.1038/s41375-019-0404-1] [Citation(s) in RCA: 118] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 01/18/2019] [Accepted: 01/21/2019] [Indexed: 01/06/2023]
Abstract
Aberrant activation of Wnt/β-catenin signaling plays a central role in the pathogenesis of a wide variety of malignancies and is typically caused by mutations in core Wnt pathway components driving constitutive, ligand-independent signaling. In multiple myelomas (MMs), however, these pathway intrinsic mutations are rare despite the fact that most tumors display aberrant Wnt pathway activity. Recent studies indicate that this activation is caused by genetic and epigenetic lesions of Wnt regulatory components, sensitizing MM cells to autocrine Wnt ligands and paracrine Wnts emanating from the bone marrow niche. These include deletion of the tumor suppressor CYLD, promotor methylation of the Wnt antagonists WIF1, DKK1, DKK3, and sFRP1, sFRP2, sFRP4, sFRP5, as well as overexpression of the co-transcriptional activator BCL9 and the R-spondin receptor LGR4. Furthermore, Wnt activity in MM is strongly promoted by interaction of both Wnts and R-spondins with syndecan-1 (CD138) on the MM cell-surface. Functionally, aberrant canonical Wnt signaling plays a dual role in the pathogenesis of MM: (I) it mediates proliferation, migration, and drug resistance of MM cells; (II) MM cells secrete Wnt antagonists that contribute to the development of osteolytic lesions by impairing osteoblast differentiation. As discussed in this review, these insights into the causes and consequences of aberrant Wnt signaling in MM will help to guide the development of targeting strategies. Importantly, since Wnt signaling in MM cells is largely ligand dependent, it can be targeted by drugs/antibodies that act upstream in the pathway, interfering with Wnt secretion, sequestering Wnts, or blocking Wnt (co)receptors.
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Affiliation(s)
- Harmen van Andel
- Department of Pathology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Amsterdam, The Netherlands
| | - Kinga A Kocemba
- Department of Pathology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Amsterdam, The Netherlands
| | - Marcel Spaargaren
- Department of Pathology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Amsterdam, The Netherlands
| | - Steven T Pals
- Department of Pathology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. .,Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Amsterdam, The Netherlands.
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14
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Role of apurinic/apyrimidinic nucleases in the regulation of homologous recombination in myeloma: mechanisms and translational significance. Blood Cancer J 2018; 8:92. [PMID: 30301882 PMCID: PMC6177467 DOI: 10.1038/s41408-018-0129-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 08/21/2018] [Indexed: 12/17/2022] Open
Abstract
We have previously reported that homologous recombination (HR) is dysregulated in multiple myeloma (MM) and contributes to genomic instability and development of drug resistance. We now demonstrate that base excision repair (BER) associated apurinic/apyrimidinic (AP) nucleases (APEX1 and APEX2) contribute to regulation of HR in MM cells. Transgenic as well as chemical inhibition of APEX1 and/or APEX2 inhibits HR activity in MM cells, whereas the overexpression of either nuclease in normal human cells, increases HR activity. Regulation of HR by AP nucleases could be attributed, at least in part, to their ability to regulate recombinase (RAD51) expression. We also show that both nucleases interact with major HR regulators and that APEX1 is involved in P73-mediated regulation of RAD51 expression in MM cells. Consistent with the role in HR, we also show that AP-knockdown or treatment with inhibitor of AP nuclease activity increases sensitivity of MM cells to melphalan and PARP inhibitor. Importantly, although inhibition of AP nuclease activity increases cytotoxicity, it reduces genomic instability caused by melphalan. In summary, we show that APEX1 and APEX2, major BER proteins, also contribute to regulation of HR in MM. These data provide basis for potential use of AP nuclease inhibitors in combination with chemotherapeutics such as melphalan for synergistic cytotoxicity in MM.
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15
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Barceló F, Gomila R, de Paul I, Gili X, Segura J, Pérez-Montaña A, Jimenez-Marco T, Sampol A, Portugal J. MALDI-TOF analysis of blood serum proteome can predict the presence of monoclonal gammopathy of undetermined significance. PLoS One 2018; 13:e0201793. [PMID: 30071092 PMCID: PMC6072114 DOI: 10.1371/journal.pone.0201793] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 07/23/2018] [Indexed: 12/13/2022] Open
Abstract
Monoclonal gammopathy of undetermined significance (MGUS) is a plasma cell dyscrasia that can progress to malignant multiple myeloma (MM). Specific molecular biomarkers to classify the MGUS status and discriminate the initial asymptomatic phase of MM have not been identified. We examined the serum peptidome profile of MGUS patients and healthy volunteers using MALDI-TOF mass spectrometry and developed a predictive model for classifying serum samples. The predictive model was built using a support vector machine (SVM) supervised learning method tuned by applying a 20-fold cross-validation scheme. Predicting class labels in a blinded test set containing randomly selected MGUS and healthy control serum samples validated the model. The generalization performance of the predictive model was evaluated by a double cross-validation method that showed 88% average model accuracy, 89% average sensitivity and 86% average specificity. Our model, which classifies unknown serum samples as belonging to either MGUS patients or healthy individuals, can be applied to clinical diagnosis.
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Affiliation(s)
- Francisca Barceló
- Grupo de Investigación Clínica y Traslacional, Departamento de Biología Fundamental y Ciencias de la Salud, Instituto Universitario de Investigación en Ciencias de la Salud (IUNICS), Universitat de les Illes Balears, Palma de Mallorca, Spain
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
- * E-mail:
| | - Rosa Gomila
- Servicios Cientificotécnicos, Universitat de les Illes Balears, Palma de Mallorca, Spain
| | - Ivan de Paul
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
- Grupo de Sistemas Electrónicos, Universitat de les Illes Balears (GSE-UIB), Palma de Mallorca, Spain
| | - Xavier Gili
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
- Grupo de Sistemas Electrónicos, Universitat de les Illes Balears (GSE-UIB), Palma de Mallorca, Spain
| | - Jaume Segura
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
- Grupo de Sistemas Electrónicos, Universitat de les Illes Balears (GSE-UIB), Palma de Mallorca, Spain
| | - Albert Pérez-Montaña
- Servicio de Hematología y Hemoterapia, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Teresa Jimenez-Marco
- Fundació Banc de Sang i Teixits de les Illes Balears, Gobierno Balear, Palma de Mallorca, Spain
| | - Antonia Sampol
- Servicio de Hematología y Hemoterapia, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - José Portugal
- Instituto de Diagnóstico Ambiental y Estudios del Agua, CSIC, Barcelona, Spain
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16
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van Nieuwenhuijzen N, Spaan I, Raymakers R, Peperzak V. From MGUS to Multiple Myeloma, a Paradigm for Clonal Evolution of Premalignant Cells. Cancer Res 2018; 78:2449-2456. [PMID: 29703720 DOI: 10.1158/0008-5472.can-17-3115] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 01/16/2018] [Accepted: 03/16/2018] [Indexed: 11/16/2022]
Abstract
Multiple myeloma (MM) is a treatable, but incurable, malignancy of plasma cells (PC) in the bone marrow (BM). It represents the final stage in a continuum of PC dyscrasias and is consistently preceded by a premalignant phase termed monoclonal gammopathy of undetermined significance (MGUS). The existence of this well-defined premalignant phase provides the opportunity to study clonal evolution of a premalignant condition into overt cancer. Unraveling the mechanisms of malignant transformation of PC could enable early identification of MGUS patients at high risk of progression and may point to novel therapeutic targets, thereby possibly delaying or preventing malignant transformation. The MGUS-to-MM progression requires multiple genomic events and the establishment of a permissive BM microenvironment, although it is generally not clear if the various microenvironmental events are causes or consequences of disease progression. Advances in gene-sequencing techniques and the use of serial paired analyses have allowed for a more specific identification of driver lesions. The challenge in cancer biology is to identify and target those lesions that confer selective advantage and thereby drive evolution of a premalignant clone. Here, we review recent advances in the understanding of malignant transformation of MGUS to MM. Cancer Res; 78(10); 2449-56. ©2018 AACR.
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Affiliation(s)
- Niels van Nieuwenhuijzen
- Laboratory of Translational Immunology, University Medical Center, Utrecht, the Netherlands.,Department of Hematology, University Medical Center, Utrecht, the Netherlands
| | - Ingrid Spaan
- Laboratory of Translational Immunology, University Medical Center, Utrecht, the Netherlands
| | - Reinier Raymakers
- Department of Hematology, University Medical Center, Utrecht, the Netherlands
| | - Victor Peperzak
- Laboratory of Translational Immunology, University Medical Center, Utrecht, the Netherlands.
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17
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Lozano E, Díaz T, Mena MP, Suñe G, Calvo X, Calderón M, Pérez-Amill L, Rodríguez V, Pérez-Galán P, Roué G, Cibeira MT, Rosiñol L, Isola I, Rodríguez-Lobato LG, Martin-Antonio B, Bladé J, Fernández de Larrea C. Loss of the Immune Checkpoint CD85j/LILRB1 on Malignant Plasma Cells Contributes to Immune Escape in Multiple Myeloma. THE JOURNAL OF IMMUNOLOGY 2018. [DOI: 10.4049/jimmunol.1701622] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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18
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Active enhancer and chromatin accessibility landscapes chart the regulatory network of primary multiple myeloma. Blood 2018. [PMID: 29519805 DOI: 10.1182/blood-2017-09-808063] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Multiple myeloma (MM) is an aggressive cancer that originates from antibody-secreting plasma cells. Although genetically and transcriptionally well characterized, the aberrant gene regulatory networks that underpin this disease remain poorly understood. Here, we mapped regulatory elements, open chromatin, and transcription factor (TF) footprints in primary MM cells. In comparison with normal antibody-secreting cells, MM cells displayed consistent changes in enhancer activity that are connected to superenhancer (SE)-mediated deregulation of TF genes. MM cells also displayed widespread decompaction of heterochromatin that was associated with activation of regulatory elements and in a major subset of patients' deregulation of the cyclic adenosine monophosphate pathway. Finally, building SE-associated TF-based regulatory networks allowed identification of several novel TFs that are central to MM biology. Taken together, these findings significantly add to our understanding of the aberrant gene regulatory network that underpins MM.
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19
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Valent P, Akin C, Arock M, Bock C, George TI, Galli SJ, Gotlib J, Haferlach T, Hoermann G, Hermine O, Jäger U, Kenner L, Kreipe H, Majeti R, Metcalfe DD, Orfao A, Reiter A, Sperr WR, Staber PB, Sotlar K, Schiffer C, Superti-Furga G, Horny HP. Proposed Terminology and Classification of Pre-Malignant Neoplastic Conditions: A Consensus Proposal. EBioMedicine 2017; 26:17-24. [PMID: 29203377 PMCID: PMC5832623 DOI: 10.1016/j.ebiom.2017.11.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 11/23/2017] [Accepted: 11/23/2017] [Indexed: 12/30/2022] Open
Abstract
Cancer evolution is a step-wise non-linear process that may start early in life or later in adulthood, and includes pre-malignant (indolent) and malignant phases. Early somatic changes may not be detectable or are found by chance in apparently healthy individuals. The same lesions may be detected in pre-malignant clonal conditions. In some patients, these lesions may never become relevant clinically whereas in others, they act together with additional pro-oncogenic hits and thereby contribute to the formation of an overt malignancy. Although some pre-malignant stages of a malignancy have been characterized, no global system to define and to classify these conditions is available. To discuss open issues related to pre-malignant phases of neoplastic disorders, a working conference was organized in Vienna in August 2015. The outcomes of this conference are summarized herein and include a basic proposal for a nomenclature and classification of pre-malignant conditions. This proposal should assist in the communication among patients, physicians and scientists, which is critical as genome-sequencing will soon be offered widely for early cancer-detection.
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Affiliation(s)
- Peter Valent
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Ludwig Boltzmann Cluster Oncology, Medical University of Vienna, Vienna, Austria.
| | - Cem Akin
- Division of Allergy and Clinical Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Michel Arock
- LBPA CNRS UMR8113, Ecole Normale Supérieure de Cachan, Cachan, France
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Tracy I George
- Department of Pathology, University of New Mexico, Albuquerque, NM, USA
| | - Stephen J Galli
- Department of Pathology and Stanford Center for Genomics and Personalized Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jason Gotlib
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Gregor Hoermann
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Olivier Hermine
- Imagine Institute Université Paris Descartes, Sorbonne, Paris Cité, Centre national de référence des mastocytoses, Paris, France
| | - Ulrich Jäger
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Ludwig Boltzmann Cluster Oncology, Medical University of Vienna, Vienna, Austria
| | - Lukas Kenner
- Department of Pathology, Medical University of Vienna, Austria; Ludwig Boltzmann Institute for Cancer Research, Vienna, Austria,; Institute of Laboratory Animal Pathology, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Hans Kreipe
- Institute of Pathology, Hannover Medical School, Hannover, Germany
| | - Ravindra Majeti
- Department of Medicine, Division of Hematology, Cancer Institute, Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Dean D Metcalfe
- Laboratory of Allergic Diseases, NIAID, NIH, Bethesda, MD, USA
| | - Alberto Orfao
- Servicio Central de Citometria, Centro de Investigacion del Cancer and Department of Medicine, University of Salamanca, Spain
| | - Andreas Reiter
- Department of Hematology and Oncology, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
| | - Wolfgang R Sperr
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Ludwig Boltzmann Cluster Oncology, Medical University of Vienna, Vienna, Austria
| | - Philipp B Staber
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Ludwig Boltzmann Cluster Oncology, Medical University of Vienna, Vienna, Austria
| | - Karl Sotlar
- Institute of Pathology, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Charles Schiffer
- Division of Hematology/Oncology, Department of Oncology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI, USA
| | - Giulio Superti-Furga
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Hans-Peter Horny
- Institute of Pathology, Ludwig-Maximilian University, Munich, Germany
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20
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Handa H, Kuroda Y, Kimura K, Masuda Y, Hattori H, Alkebsi L, Matsumoto M, Kasamatsu T, Kobayashi N, Tahara KI, Takizawa M, Koiso H, Ishizaki T, Shimizu H, Yokohama A, Tsukamoto N, Saito T, Murakami H. Long non-coding RNA MALAT1 is an inducible stress response gene associated with extramedullary spread and poor prognosis of multiple myeloma. Br J Haematol 2017; 179:449-460. [PMID: 28770558 DOI: 10.1111/bjh.14882] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2017] [Accepted: 06/30/2017] [Indexed: 12/28/2022]
Abstract
Extramedullary myeloma (EMM) occurs when myeloma develops outside the bone marrow; it often develops after chemotherapy and is associated with the acquisition of chemo-resistance and a fatal course. The mechanisms underlying extramedullary spread have not yet been fully elucidated. MALAT1 is a highly abundantly and ubiquitously expressed long non-coding RNA that plays important roles in cancer metastasis. The aims of this study were to clarify the association of MALAT1 with EMM and to elucidate the underlying mechanism of EMM formation under chemotherapeutic pressure. MALAT1 expression was significantly higher in multiple myeloma (MM) than in monoclonal gammopathy of undetermined significance. Furthermore, MALAT1 expression was markedly higher in EMM compared with that in corresponding intramedullary myeloma cells. A higher MALAT1 level was associated with shorter overall and progression-free survival. MALAT1 expression level was positively correlated with expression of HSP90AA1, HSP90AB1 and HSP90B1 but not with TP53 expression. MALAT1 was significantly upregulated by bortezomib and doxorubicin. Considering the known functions of MALAT1, our results suggest that it acts as a stress response gene that is upregulated by chemotherapy, thereby linking chemotherapy to EMM formation. Elucidating the biological implication of long non-coding RNA contributes to deeper understanding concerning the pathogenesis and investigation of novel therapeutic targets for MM.
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Affiliation(s)
- Hiroshi Handa
- Department of Haematology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yuko Kuroda
- Gunma University Graduate School of Health Science, Maebashi, Japan
| | - Kei Kimura
- Gunma University Graduate School of Health Science, Maebashi, Japan
| | - Yuta Masuda
- Gunma University Graduate School of Health Science, Maebashi, Japan
| | - Hikaru Hattori
- Gunma University Graduate School of Health Science, Maebashi, Japan
| | - Lobna Alkebsi
- Gunma University Graduate School of Health Science, Maebashi, Japan
| | - Morio Matsumoto
- National Hospital Organization Shibukawa Medical Centre, Shibukawa, Japan
| | | | - Nobuhiko Kobayashi
- National Hospital Organization Shibukawa Medical Centre, Shibukawa, Japan
| | - Ken-Ichi Tahara
- National Hospital Organization Shibukawa Medical Centre, Shibukawa, Japan
| | - Makiko Takizawa
- Department of Haematology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hiromi Koiso
- Department of Haematology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Takuma Ishizaki
- Department of Haematology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hiroaki Shimizu
- Department of Haematology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Akihiko Yokohama
- Blood Transfusion Service, Gunma University Hospital, Maebashi, Japan
| | | | - Takayuki Saito
- Gunma University Graduate School of Health Science, Maebashi, Japan
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21
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Simmons JK, Michalowski AM, Gamache BJ, DuBois W, Patel J, Zhang K, Gary J, Zhang S, Gaikwad S, Connors D, Watson N, Leon E, Chen JQ, Kuehl WM, Lee MP, Zingone A, Landgren O, Ordentlich P, Huang J, Mock BA. Cooperative Targets of Combined mTOR/HDAC Inhibition Promote MYC Degradation. Mol Cancer Ther 2017; 16:2008-2021. [PMID: 28522584 DOI: 10.1158/1535-7163.mct-17-0171] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Revised: 04/18/2017] [Accepted: 05/01/2017] [Indexed: 12/31/2022]
Abstract
Cancer treatments often require combinations of molecularly targeted agents to be effective. mTORi (rapamycin) and HDACi (MS-275/entinostat) inhibitors have been shown to be effective in limiting tumor growth, and here we define part of the cooperative action of this drug combination. More than 60 human cancer cell lines responded synergistically (CI<1) when treated with this drug combination compared with single agents. In addition, a breast cancer patient-derived xenograft, and a BCL-XL plasmacytoma mouse model both showed enhanced responses to the combination compared with single agents. Mice bearing plasma cell tumors lived an average of 70 days longer on combination treatment compared with single agents. A set of 37 genes cooperatively affected (34 downregulated; 3 upregulated) by the combination responded pharmacodynamically in human myeloma cell lines, xenografts, and a P493 model, and were both enriched in tumors, and correlated with prognostic markers in myeloma patient datasets. Genes downregulated by the combination were overexpressed in several untreated cancers (breast, lung, colon, sarcoma, head and neck, myeloma) compared with normal tissues. The MYC/E2F axis, identified by upstream regulator analyses and validated by immunoblots, was significantly inhibited by the drug combination in several myeloma cell lines. Furthermore, 88% of the 34 genes downregulated have MYC-binding sites in their promoters, and the drug combination cooperatively reduced MYC half-life by 55% and increased degradation. Cells with MYC mutations were refractory to the combination. Thus, integrative approaches to understand drug synergy identified a clinically actionable strategy to inhibit MYC/E2F activity and tumor cell growth in vivoMol Cancer Ther; 16(9); 2008-21. ©2017 AACR.
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Affiliation(s)
- John K Simmons
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | | | | | - Wendy DuBois
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Jyoti Patel
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Ke Zhang
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Joy Gary
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Shuling Zhang
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Snehal Gaikwad
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Daniel Connors
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Nicholas Watson
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Elena Leon
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Jin-Qiu Chen
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | | | - Maxwell P Lee
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Adriana Zingone
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Ola Landgren
- Syndax Pharmaceuticals, Inc., Waltham, Massachusetts
| | | | - Jing Huang
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Beverly A Mock
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland.
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22
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Kizaki M, Tabayashi T. The Role of Intracellular Signaling Pathways in the Pathogenesis of Multiple Myeloma and Novel Therapeutic Approaches. J Clin Exp Hematop 2017; 56:20-7. [PMID: 27334854 DOI: 10.3960/jslrt.56.20] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The introduction of novel agents, such as bortezomib, thalidomide, and lenalidomide, into daily practice has dramatically improved clinical outcomes and prolonged survival of patients with multiple myeloma (MM). However, despite these advanced clinical benefits, MM remains an incurable hematological malignancy. Therefore, development of new agents and novel therapeutic strategies is urgently needed. Recent advances toward understanding the mechanism of myeloma cell growth and drug resistance in the bone marrow milieu have provided clues for the development of next-generation agents aimed at improving patient outcomes. In this review article, we discuss new possible agents for the treatment of MM based on recent advances in the understanding of signaling pathways in myeloma cells.
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Affiliation(s)
- Masahiro Kizaki
- Department of Hematology, Saitama Medical Center, Saitama Medical University
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23
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Szalat R, Munshi NC. Next-Generation Sequencing Informing Therapeutic Decisions and Personalized Approaches. Am Soc Clin Oncol Educ Book 2017; 35:e442-8. [PMID: 27249752 DOI: 10.1200/edbk_159017] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Multiple myeloma is a heterogeneous disease featured by different molecular subtypes. In the last decade, new therapeutics including second- and third-generation proteasome inhibitors and immunomodulatory agents, monoclonal antibodies, and other novel targeted agents have completely transformed the outcome of the disease. The task ahead is to develop strategies to identify effective combinations and sequences of agents that can exploit the genetic make-up of myeloma cells to improve efficacy. Moreover, a subgroup of high-risk patients who experience early disease relapse and shorter survival also requires early identification and specific intervention. Next-generation sequencing (NGS) technologies now allow us to accomplish some of these goals. As described here, besides improving our understanding of the disease, it is beginning to influence our clinical decisions and therapeutic choices. In this article, we describe the current state-of-the-art role of NGS in myeloma from identifying high-risk disease, to drug selection, and, ultimately, to guide personalized therapy.
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Affiliation(s)
- Raphael Szalat
- From the Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA; VA Boston Healthcare System, Boston, MA
| | - Nikhil C Munshi
- From the Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA; VA Boston Healthcare System, Boston, MA
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24
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Bolzoni M, Ronchetti D, Storti P, Donofrio G, Marchica V, Costa F, Agnelli L, Toscani D, Vescovini R, Todoerti K, Bonomini S, Sammarelli G, Vecchi A, Guasco D, Accardi F, Palma BD, Gamberi B, Ferrari C, Neri A, Aversa F, Giuliani N. IL21R expressing CD14 +CD16 + monocytes expand in multiple myeloma patients leading to increased osteoclasts. Haematologica 2017; 102:773-784. [PMID: 28057743 PMCID: PMC5395118 DOI: 10.3324/haematol.2016.153841] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 12/23/2016] [Indexed: 11/18/2022] Open
Abstract
Bone marrow monocytes are primarily committed to osteoclast formation. It is, however, unknown whether potential primary alterations are specifically present in bone marrow monocytes from patients with multiple myeloma, smoldering myeloma or monoclonal gammopathy of undetermined significance. We analyzed the immunophenotypic and transcriptional profiles of bone marrow CD14+ monocytes in a cohort of patients with different types of monoclonal gammopathies to identify alterations involved in myeloma-enhanced osteoclastogenesis. The number of bone marrow CD14+CD16+ cells was higher in patients with active myeloma than in those with smoldering myeloma or monoclonal gammopathy of undetermined significance. Interestingly, sorted bone marrow CD14+CD16+ cells from myeloma patients were more pro-osteoclastogenic than CD14+CD16-cells in cultures ex vivo. Moreover, transcriptional analysis demonstrated that bone marrow CD14+ cells from patients with multiple myeloma (but neither monoclonal gammopathy of undetermined significance nor smoldering myeloma) significantly upregulated genes involved in osteoclast formation, including IL21R. IL21R mRNA over-expression by bone marrow CD14+ cells was independent of the presence of interleukin-21. Consistently, interleukin-21 production by T cells as well as levels of interleukin-21 in the bone marrow were not significantly different among monoclonal gammopathies. Thereafter, we showed that IL21R over-expression in CD14+ cells increased osteoclast formation. Consistently, interleukin-21 receptor signaling inhibition by Janex 1 suppressed osteoclast differentiation from bone marrow CD14+ cells of myeloma patients. Our results indicate that bone marrow monocytes from multiple myeloma patients show distinct features compared to those from patients with indolent monoclonal gammopathies, supporting the role of IL21R over-expression by bone marrow CD14+ cells in enhanced osteoclast formation.
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Affiliation(s)
- Marina Bolzoni
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy
| | - Domenica Ronchetti
- Dept. of Oncology and Hemato-Oncology, University of Milan, Italy.,Hematology Unit, "Fondazione IRCCS Ca' Granda", Ospedale Maggiore Policlinico, Milan, Italy
| | - Paola Storti
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy.,CoreLab, University Hospital of Parma, Rionero in Vulture, Italy
| | - Gaetano Donofrio
- Dept. of Medical-Veterinary Science, University of Parma, Rionero in Vulture, Italy
| | - Valentina Marchica
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy.,CoreLab, University Hospital of Parma, Rionero in Vulture, Italy
| | - Federica Costa
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy
| | - Luca Agnelli
- Dept. of Oncology and Hemato-Oncology, University of Milan, Italy.,Hematology Unit, "Fondazione IRCCS Ca' Granda", Ospedale Maggiore Policlinico, Milan, Italy
| | - Denise Toscani
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy
| | - Rosanna Vescovini
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy
| | - Katia Todoerti
- Laboratory of Pre-clinical and Translational Research, IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture, Italy
| | | | - Gabriella Sammarelli
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy.,Hematology and BMT Center, University Hospital of Parma, Italy
| | - Andrea Vecchi
- Infectious Disease Unit, University Hospital of Parma, Italy
| | - Daniela Guasco
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy
| | - Fabrizio Accardi
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy.,Hematology and BMT Center, University Hospital of Parma, Italy
| | - Benedetta Dalla Palma
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy.,Hematology and BMT Center, University Hospital of Parma, Italy
| | - Barbara Gamberi
- "Dip. Oncologico e Tecnologie Avanzate", IRCCS Arcispedale Santa Maria Nuova, Reggio Emilia, Italy
| | - Carlo Ferrari
- Infectious Disease Unit, University Hospital of Parma, Italy
| | - Antonino Neri
- Dept. of Oncology and Hemato-Oncology, University of Milan, Italy.,Hematology Unit, "Fondazione IRCCS Ca' Granda", Ospedale Maggiore Policlinico, Milan, Italy
| | - Franco Aversa
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy.,CoreLab, University Hospital of Parma, Rionero in Vulture, Italy.,Hematology and BMT Center, University Hospital of Parma, Italy
| | - Nicola Giuliani
- Myeloma Unit, Dept. of Medicine and Surgery, University of Parma, Italy .,CoreLab, University Hospital of Parma, Rionero in Vulture, Italy.,Hematology and BMT Center, University Hospital of Parma, Italy
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25
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Anderson KC. Progress and Paradigms in Multiple Myeloma. Clin Cancer Res 2016; 22:5419-5427. [PMID: 28151709 PMCID: PMC5300651 DOI: 10.1158/1078-0432.ccr-16-0625] [Citation(s) in RCA: 125] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 09/20/2016] [Accepted: 09/22/2016] [Indexed: 12/13/2022]
Abstract
Remarkable progress has been achieved in multiple myeloma, and patient median survival has been extended 3- to 4-fold. Specifically, there have been 18 newly approved treatments for multiple myeloma in the past 12 years, including seven in 2015, and the treatment paradigm and patient outcome have been transformed. The definition of patients benefitting from these therapies has been broadened. Response criteria now include minimal residual disease (MRD), assessed in bone marrow by multicolor flow cytometry or sequencing, and by imaging for extramedullary disease. Initial therapy for transplant candidates is a triplet incorporating novel therapies-that is, lenalidomide, bortezomib, and dexamethasone or cyclophosphamide, bortezomib, and dexamethasone. Lenalidomide maintenance until progression can prolong progression-free and overall survival in standard-risk multiple myeloma, with incorporation of proteasome inhibitor for high-risk disease. Studies are evaluating the value of early versus late transplant and MRD as a therapeutic goal to inform therapy. In nontransplant patients, triplet therapies are also preferred, with doublet therapy reserved for frail patients, and maintenance as described above. The availability of second-generation proteasome inhibitors (carfilzomib and ixazomib), immunomodulatory drugs (pomalidomide), histone deacetylase inhibitors (panobinostat), and monoclonal antibodies (elotuzumab and daratumumab) allows for effective combination therapies of relapsed disease as well. Finally, novel therapies targeting protein degradation, restoring autologous memory anti-multiple myeloma immunity, and exploiting genetic vulnerabilities show promise to improve patient outcome even further. Clin Cancer Res; 22(22); 5419-27. ©2016 AACR SEE ALL ARTICLES IN THIS CCR FOCUS SECTION, "MULTIPLE MYELOMA MULTIPLYING THERAPIES".
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Affiliation(s)
- Kenneth C Anderson
- Division of Hematologic Malignancy, Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
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26
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Ray A, Das DS, Song Y, Nordström E, Gullbo J, Richardson PG, Chauhan D, Anderson KC. A novel alkylating agent Melflufen induces irreversible DNA damage and cytotoxicity in multiple myeloma cells. Br J Haematol 2016; 174:397-409. [PMID: 27098276 PMCID: PMC4961600 DOI: 10.1111/bjh.14065] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Accepted: 01/03/2016] [Indexed: 12/22/2022]
Abstract
Our prior study utilized both in vitro and in vivo multiple myeloma (MM) xenograft models to show that a novel alkylator melphalan-flufenamide (Melflufen) is a more potent anti-MM agent than melphalan and overcomes conventional drug resistance. Here we examined whether this potent anti-MM activity of melflufen versus melphalan is due to their differential effect on DNA damage and repair signalling pathways via γ-H2AX/ATR/CHK1/Ku80. Melflufen-induced apoptosis was associated with dose- and time-dependent rapid phosphorylation of γ-H2AX. Melflufen induces γ-H2AX, ATR, and CHK1 as early as after 2 h exposure in both melphalan-sensitive and -resistant cells. However, melphalan induces γ-H2AX in melphalan-sensitive cells at 6 h and 24 h; no γ-H2AX induction was observed in melphalan-resistant cells even after 24 h exposure. Similar kinetics was observed for ATR and CHK1 in meflufen- versus melphalan-treated cells. DNA repair is linked to melphalan-resistance; and importantly, we found that melphalan, but not melflufen, upregulates Ku80 that repairs DNA double-strand breaks. Washout experiments showed that a brief (2 h) exposure of MM cells to melflufen is sufficient to initiate an irreversible DNA damage and cytotoxicity. Our data therefore suggest that melflufen triggers a rapid, robust, and an irreversible DNA damage which may account for its ability to overcome melphalan-resistance in MM cells.
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Affiliation(s)
- Arghya Ray
- The LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Deepika Sharma Das
- The LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Yan Song
- The LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Eva Nordström
- Oncopeptides AB, Karolinska Institutet Science Park, Solna, Sweden
| | - Joachim Gullbo
- Department of Immunology, Genetics and Pathology, Section of Oncology, Uppsala University, 751 85 Uppsala, Sweden
| | - Paul G. Richardson
- The LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Dharminder Chauhan
- The LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Kenneth C. Anderson
- The LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
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27
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Hamouda MA, Jacquel A, Robert G, Puissant A, Richez V, Cassel R, Fenouille N, Roulland S, Gilleron J, Griessinger E, Dubois A, Bailly-Maitre B, Goncalves D, Mallavialle A, Colosetti P, Marchetti S, Amiot M, Gomez-Bougie P, Rochet N, Deckert M, Avet-Loiseau H, Hofman P, Karsenti JM, Jeandel PY, Blin-Wakkach C, Nadel B, Cluzeau T, Anderson KC, Fuzibet JG, Auberger P, Luciano F. BCL-B (BCL2L10) is overexpressed in patients suffering from multiple myeloma (MM) and drives an MM-like disease in transgenic mice. J Exp Med 2016; 213:1705-22. [PMID: 27455953 PMCID: PMC4995074 DOI: 10.1084/jem.20150983] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2015] [Accepted: 06/06/2016] [Indexed: 12/11/2022] Open
Abstract
Luciano et al. generate transgenic mice expressing the Bcl-B gene under the control of the VH promoter and Eµ enhancer and show that these mice recapitulate the characteristic features of human MM. Multiple myeloma (MM) evolves from a premalignant condition known as monoclonal gammopathy of undetermined significance (MGUS). However, the factors underlying the malignant transformation of plasmocytes in MM are not fully characterized. We report here that Eµ-directed expression of the antiapoptotic Bcl-B protein in mice drives an MM phenotype that reproduces accurately the human disease. Indeed, with age, Eµ-bcl-b transgenic mice develop the characteristic features of human MM, including bone malignant plasma cell infiltration, a monoclonal immunoglobulin peak, immunoglobulin deposit in renal tubules, and highly characteristic bone lytic lesions. In addition, the tumors are serially transplantable in irradiated wild-type mice, underlying the tumoral origin of the disease. Eµ-bcl-b plasmocytes show increased expression of a panel of genes known to be dysregulated in human MM pathogenesis. Treatment of Eµ-bcl-b mice with drugs currently used to treat patients such as melphalan and VELCADE efficiently kills malignant plasmocytes in vivo. Finally, we find that Bcl-B is overexpressed in plasmocytes from MM patients but neither in MGUS patients nor in healthy individuals, suggesting that Bcl-B may drive MM. These findings suggest that Bcl-B could be an important factor in MM disease and pinpoint Eµ-bcl-b mice as a pertinent model to validate new therapies in MM.
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Affiliation(s)
- Mohamed-Amine Hamouda
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
| | - Arnaud Jacquel
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
| | - Guillaume Robert
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
| | - Alexandre Puissant
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115 Boston Children's Hospital, Harvard Medical School, Boston, MA 02115
| | - Valentine Richez
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Service de Médecine Interne, Centre Hospitalier Universitaire de Nice, 06003 Nice, France
| | - Romeo Cassel
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
| | - Nina Fenouille
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142
| | - Sandrine Roulland
- Centre d'Immunologie de Marseille-Luminy, Aix-Marseille University, INSERM U1104, Centre National de la Recherche Scientifique (CNRS) UMR 7280, 13288 Marseille, France
| | - Jerome Gilleron
- Team 7, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France
| | - Emmanuel Griessinger
- Team 4, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France
| | - Alix Dubois
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
| | - Beatrice Bailly-Maitre
- Team 8, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France
| | - Diogo Goncalves
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
| | - Aude Mallavialle
- Team 11, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France
| | - Pascal Colosetti
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
| | - Sandrine Marchetti
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
| | | | | | - Nathalie Rochet
- Université de Nice Sophia-Antipolis, 06000 Nice, France UMR 7277, 06108 Nice, France
| | - Marcel Deckert
- Team 11, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France
| | - Herve Avet-Loiseau
- Cancer Research Center of Toulouse, UMR 1037, INSERM-Université Toulouse III Paul Sabatier (UPS)-CNRS, 31037 Toulouse, France
| | - Paul Hofman
- Service d'Anatomopathologie, Centre Hospitalier Universitaire de Nice, 06003 Nice, France
| | - Jean-Michel Karsenti
- Service d'Hématologie Clinique, Centre Hospitalier Universitaire de Nice, 06003 Nice, France
| | - Pierre-Yves Jeandel
- Service de Médecine Interne, Centre Hospitalier Universitaire de Nice, 06003 Nice, France
| | - Claudine Blin-Wakkach
- Université de Nice Sophia-Antipolis, 06000 Nice, France CNRS UMR 7370, 06108 Nice, France
| | - Bertrand Nadel
- Centre d'Immunologie de Marseille-Luminy, Aix-Marseille University, INSERM U1104, Centre National de la Recherche Scientifique (CNRS) UMR 7280, 13288 Marseille, France
| | - Thomas Cluzeau
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France Service d'Hématologie Clinique, Centre Hospitalier Universitaire de Nice, 06003 Nice, France
| | - Kenneth C Anderson
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115 Boston Children's Hospital, Harvard Medical School, Boston, MA 02115
| | - Jean-Gabriel Fuzibet
- Service de Médecine Interne, Centre Hospitalier Universitaire de Nice, 06003 Nice, France
| | - Patrick Auberger
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
| | - Frederic Luciano
- Team 2, Institut National de la Santé et de la Recherche Médicale (INSERM) U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), 06204 Nice, France Université de Nice Sophia-Antipolis, 06000 Nice, France Equipe Labellisée par la Ligue Nationale Contre le Cancer, 75013 Paris, France
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28
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Chen L, Li Q, She T, Li H, Yue Y, Gao S, Yan T, Liu S, Ma J, Wang Y. IRE1α-XBP1 signaling pathway, a potential therapeutic target in multiple myeloma. Leuk Res 2016; 49:7-12. [PMID: 27518808 DOI: 10.1016/j.leukres.2016.07.006] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2016] [Revised: 07/15/2016] [Accepted: 07/21/2016] [Indexed: 10/21/2022]
Abstract
Multiple myeloma (MM), which arises from the uncontrolled proliferation of malignant plasma cells, is the second most commonly diagnosed hematologic malignancy in the United States. Despite the development and application of novel drugs and autologous stem cell transplantation (ASCT), MM remains an incurable disease and patients become more prone to MM relapse and drug resistance. It is extremely urgent to find novel targeted therapy for MM. To date, the classic signaling pathways underlying MM have included the RAS/RAF/MEK/ERK pathway, the JAK-STAT3 pathway, the PI3K/Akt pathway and the NF-KB pathway. The IRE1α-XBP1 signaling pathway is currently emerging as an important pathway involved in the development of MM. Moreover, it is closely associated with the effect of MM treatment and its prognosis. All these findings indicate that the IRE1α-XBP1 pathway can be a potential treatment target. Herein, we investigate the relationship between the IRE1α-XBP1 pathway and MM and discuss the functions of IRE1α-XBP1-targeted drugs in the treatment of MM.
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Affiliation(s)
- Lin Chen
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China
| | - Qian Li
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China
| | - Tiantian She
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China
| | - Han Li
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China
| | - Yuanfang Yue
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China
| | - Shuang Gao
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China
| | - Tinghui Yan
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China
| | - Su Liu
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China
| | - Jing Ma
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China
| | - Yafei Wang
- Department of Hematology and Blood and Marrow Transplantation, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin 300060, People's Republic of China.
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Roh J, Shin SJ, Lee AN, Yoon DH, Suh C, Park CJ, Huh J, Park CS. RGS1 expression is associated with poor prognosis in multiple myeloma. J Clin Pathol 2016; 70:202-207. [DOI: 10.1136/jclinpath-2016-203713] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Revised: 06/22/2016] [Accepted: 07/02/2016] [Indexed: 12/12/2022]
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30
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Phenotypic, transcriptomic, and genomic features of clonal plasma cells in light-chain amyloidosis. Blood 2016; 127:3035-9. [DOI: 10.1182/blood-2015-10-673095] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Accepted: 03/31/2016] [Indexed: 12/24/2022] Open
Abstract
Key Points
Clonal PCs in AL have similar phenotypic and CNA profiles as those in MM, but their transcriptome is similar to that of normal PCs. First-ever WES in AL amyloidosis reveals potential lack of a unifying mutation.
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31
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Martello M, Remondini D, Borsi E, Santacroce B, Procacci M, Pezzi A, Dico FA, Martinelli G, Zamagni E, Tacchetti P, Pantani L, Testoni N, Marzocchi G, Rocchi S, Zannetti BA, Mancuso K, Cavo M, Terragna C. Opposite activation of the Hedgehog pathway in CD138+ plasma cells and CD138-CD19+ B cells identifies two subgroups of patients with multiple myeloma and different prognosis. Leukemia 2016; 30:1869-76. [PMID: 27074969 DOI: 10.1038/leu.2016.77] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Revised: 03/02/2016] [Accepted: 03/14/2016] [Indexed: 12/14/2022]
Abstract
Hyperactivation of the Hedgehog (Hh) pathway, which controls refueling of multiple myeloma (MM) clones, might be critical to disease recurrence. Although several studies suggest the Hh pathway is activated in CD138- immature cells, differentiated CD138+ plasma cells might also be able to self-renew by producing themselves the Hh ligands. We studied the gene expression profiles of 126 newly diagnosed MM patients analyzed in both the CD138+ plasma cell fraction and CD138-CD19+ B-cell compartment. Results demonstrated that an Hh-gene signature was able to cluster patients in two subgroups characterized by the opposite Hh pathway expression in mature plasma cells and their precursors. Strikingly, patients characterized by Hh hyperactivation in plasma cells, but not in their B cells, displayed high genomic instability and an unfavorable outcome in terms of shorter progression-free survival (hazard ratio: 1.92; 95% confidence interval: 1.19-3.07) and overall survival (hazard ratio: 2.61; 95% confidence interval: 1.26-5.38). These results suggest that the mechanisms triggered by the Hh pathway ultimately led to identify a more indolent vs a more aggressive biological and clinical subtype of MM. Therefore, patient stratification according to their molecular background might help the fine-tuning of future clinical and therapeutic studies.
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Affiliation(s)
- M Martello
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - D Remondini
- Department of Physics and Astronomy (DIFA), University of Bologna, Bologna, Italy
| | - E Borsi
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - B Santacroce
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - M Procacci
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - A Pezzi
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - F A Dico
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - G Martinelli
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - E Zamagni
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - P Tacchetti
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - L Pantani
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - N Testoni
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - G Marzocchi
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - S Rocchi
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - B A Zannetti
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - K Mancuso
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - M Cavo
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
| | - C Terragna
- Institute of Haematology 'L. & A. Seràgnoli', Department of Experimental Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy
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Guillerey C, Nakamura K, Vuckovic S, Hill GR, Smyth MJ. Immune responses in multiple myeloma: role of the natural immune surveillance and potential of immunotherapies. Cell Mol Life Sci 2016; 73:1569-89. [PMID: 26801219 PMCID: PMC11108512 DOI: 10.1007/s00018-016-2135-z] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 01/07/2016] [Indexed: 02/06/2023]
Abstract
Multiple myeloma (MM) is a tumor of terminally differentiated B cells that arises in the bone marrow. Immune interactions appear as key determinants of MM progression. While myeloid cells foster myeloma-promoting inflammation, Natural Killer cells and T lymphocytes mediate protective anti-myeloma responses. The profound immune deregulation occurring in MM patients may be involved in the transition from a premalignant to a malignant stage of the disease. In the last decades, the advent of stem cell transplantation and new therapeutic agents including proteasome inhibitors and immunoregulatory drugs has dramatically improved patient outcomes, suggesting potentially key roles for innate and adaptive immunity in disease control. Nevertheless, MM remains largely incurable for the vast majority of patients. A better understanding of the complex interplay between myeloma cells and their immune environment should pave the way for designing better immunotherapies with the potential of very long term disease control. Here, we review the immunological microenvironment in myeloma. We discuss the role of naturally arising anti-myeloma immune responses and their potential corruption in MM patients. Finally, we detail the numerous promising immune-targeting strategies approved or in clinical trials for the treatment of MM.
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Affiliation(s)
- Camille Guillerey
- Immunology of Cancer and Infection Laboratory, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD, 4006, Australia
- School of Medicine, The University of Queensland, Herston Road, Herston, QLD, 4072, Australia
| | - Kyohei Nakamura
- Immunology of Cancer and Infection Laboratory, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD, 4006, Australia
| | - Slavica Vuckovic
- School of Medicine, The University of Queensland, Herston Road, Herston, QLD, 4072, Australia
- Bone Marrow Transplantation Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD, 4006, Australia
| | - Geoffrey R Hill
- Bone Marrow Transplantation Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD, 4006, Australia
| | - Mark J Smyth
- Immunology of Cancer and Infection Laboratory, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD, 4006, Australia.
- School of Medicine, The University of Queensland, Herston Road, Herston, QLD, 4072, Australia.
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Li F, Xu Y, Deng P, Yang Y, Sui W, Jin F, Hao M, Li Z, Zang M, Zhou D, Gu Z, Ru K, Wang J, Cheng T, Qiu L. Heterogeneous chromosome 12p deletion is an independent adverse prognostic factor and resistant to bortezomib-based therapy in multiple myeloma. Oncotarget 2016; 6:9434-44. [PMID: 25831238 PMCID: PMC4496228 DOI: 10.18632/oncotarget.3319] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Accepted: 02/08/2015] [Indexed: 11/25/2022] Open
Abstract
The deletion of 12p (del(12p)) has been described as a novel negative prognostic marker in multiple myeloma (MM) and has gained increasing attention in recent years. However, its impact on MM is still controversial. In this study, we comprehensively evaluated the clinical impact of 12p13 deletion using fluorescence in situ hybridization (FISH) on 275 newly diagnosed MM cases treated in a prospective, non-randomized clinical trial (BDH 2008/02). The results showed that deletion of 12p13 was detected in 10.5% of newly diagnosed cases and associated with multiple indicators for high tumor burden including ISS III, BM plasmacytosis larger than 50%, and renal lesion. Moreover, the cases with 12p13 deletion typically had higher incidence of del(17p), IGH translocation and t(4;14). Patients with del(12p) conferred significantly adverse prognosis for PFS and OS, even in patients subjected to bortezomib-based therapy. When adjusted to the established prognostic variables including del(13q), del(17p), t(4;14), amp(1q21), ISS stage and LDH, del(12p13) remained the powerful independent adverse factor for PFS (P = 0.007) and OS (P = 0.032). In addition, del(12p13) combined with high β2-MG, high LDH and bone lesion can further identify subpopulations with high-risk features. Our results strongly supported that del(12p13) can be used as a valuable prognostic marker in MM.
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Affiliation(s)
- Fei Li
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China.,Department of Hematology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Ping Deng
- Department of Science and Education, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Ye Yang
- Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA 52246, USA
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Fengyan Jin
- Tumor Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Zengjun Li
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Meirong Zang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Dehui Zhou
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Zhimin Gu
- Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA 52246, USA
| | - Kun Ru
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Jianxiang Wang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China.,Umbilical Cord Blood Bank of Tianjin, Tianjin 300020, China
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34
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Bhutani M, Landgren O, Usmani SZ. Multiple myeloma: is it time for biomarker-driven therapy? Am Soc Clin Oncol Educ Book 2016:e493-503. [PMID: 25993214 DOI: 10.14694/edbook_am.2015.35.e493] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Remarkable strides have been made in understanding the molecular mechanisms by which multiple myeloma develops, leading to more sophisticated classification that incorporates not only the traditional diagnostic criteria, but also immunophenotype, genetic, and molecular features. However, even with this added information, considerable heterogeneity in clinical outcomes exists within the identified subtypes. The present paradigm for myeloma treatment is built on the basic step of defining transplant eligibility versus noneligibility, as determined by age, performance status, and cumulative burden of comorbidities. An incredibly complex heterogeneous disease is, therefore, treated in a generalized way with the result that large interpatient variability exists in the outcome. As antimyeloma therapeutics continue to expand it is becoming even more crucial to personalize treatment approaches that provide the most value to a specific patient. Development of biomarkers, either individually or as larger sets or patterns and ranging from analysis of blood or bone marrow to biomedical imaging, is a major focus in the field. Biomarkers such as involved serum free light chain ratio and MRI focal lesions have been implemented in the new definition of multiple myeloma and guide clinicians to initiate treatment in otherwise asymptomatic individuals. Currently, however, there is not enough evidence to support intensifying the treatment for high-risk disease or reducing the treatment for low-risk disease. Minimal residual disease-negative status is an important biomarker that holds promise for monitoring the effectiveness of response-adapted strategies. This article sheds light on the forward landscape and rear-mirror view of biomarkers in myeloma.
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Affiliation(s)
- Manisha Bhutani
- From the Department of Hematologic Oncology & Blood Disorders, Levine Cancer Institute/Carolinas Healthcare System, Charlotte, NC; Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ola Landgren
- From the Department of Hematologic Oncology & Blood Disorders, Levine Cancer Institute/Carolinas Healthcare System, Charlotte, NC; Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Saad Z Usmani
- From the Department of Hematologic Oncology & Blood Disorders, Levine Cancer Institute/Carolinas Healthcare System, Charlotte, NC; Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
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35
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Xue J, Yang G, Ding H, Wang P, Wang C. Role of NSC319726 in ovarian cancer based on the bioinformatics analyses. Onco Targets Ther 2016; 8:3757-65. [PMID: 26719703 PMCID: PMC4689271 DOI: 10.2147/ott.s86343] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Aim This study aimed to explore the molecular mechanisms of NSC319726 in ovarian cancer by bioinformatics analyses. Methods Gene expression profile GSE35972 was downloaded from the Gene Expression Omnibus database. The data set contains six samples, including three samples of TOV112D cells untreated and three samples of TOV112D cells treated with NSC319726. The differentially expressed genes (DEGs) between untreated and treated samples were analyzed using the limma package. Kyoto Encyclopedia of Genes and Genomes pathway analysis was performed using the signaling pathway impact analysis package, followed by the functional annotation of DEGs and protein–protein interaction network construction. Finally, the subnetwork was identified, and Gene Ontology functional enrichment analysis was performed on the DEGs enriched in the subnetwork. Results A total of 120 upregulated and 126 downregulated DEGs were identified. Six Kyoto Encyclopedia of Genes and Genomes pathways were significantly perturbed by DEGs, and the pathway of oocyte meiosis was identified as the most perturbed one. Oocyte meiosis was enriched by eight downregulated DEGs, such as ribosomal protein S6 kinase, 90 kDa, and polypeptide 6 (RPS6KA6). After functional annotation, eight transcription factors were upregulated (such as B-cell CLL/lymphoma 6 [BCL6]), and three transcription factors were downregulated. Seven tumor suppressor genes, such as forkhead box O3 (FOXO3), were upregulated. Additionally, in the protein–protein interaction network and subnetwork, cyclin B1 (CCNB1) and cell division cycle 20 (CDC20) were hub genes, which were also involved in the functions related to mitotic cell cycle. Conclusion NSC319726 may play an efficient role against ovarian cancer via targeting genes, such as RPS6KA6, BCL6, FOXO3, CCNB1, and CDC20, which are involved in oocyte meiosis pathway.
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Affiliation(s)
- Ji Xue
- Department of Chinese Medicine, The Second Hospital of Jilin University, People's Republic of China
| | - Guang Yang
- Department of Chinese Medicine, The Second Hospital of Jilin University, People's Republic of China
| | - Hong Ding
- Department of Chinese Medicine, The Second Hospital of Jilin University, People's Republic of China
| | - Pu Wang
- The Clinical Medical College of Jilin University (Grade 2013), People's Republic of China
| | - Changhong Wang
- Department of Chinese Medicine, China-Japan Union Hospital of Jilin University, Changchun City, People's Republic of China
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36
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Bam R, Khan S, Ling W, Randal SS, Li X, Barlogie B, Edmondson R, Yaccoby S. Primary myeloma interaction and growth in coculture with healthy donor hematopoietic bone marrow. BMC Cancer 2015; 15:864. [PMID: 26545722 PMCID: PMC4636897 DOI: 10.1186/s12885-015-1892-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 11/01/2015] [Indexed: 01/28/2023] Open
Abstract
Background Human primary myeloma (MM) cells do not survive in culture; current in vitro and in vivo systems for growing these cells are limited to coculture with a specific bone marrow (BM) cell type or growth in an immunodeficient animal model. The purpose of the study is to establish an interactive healthy donor whole BM based culture system capable of maintaining prolonged survival of primary MM cells. This normal BM (NBM) coculture system is different from using autologous BM that is already affected by the disease. Methods Whole BM from healthy donors was cultured in medium supplemented with BM serum from MM patients for 7 days, followed by 7 days of coculture with CD138-selected primary MM cells or MM cell lines. MM cells in the coculture were quantified using flow cytometry or bioluminescence of luciferase-expressing MM cells. T-cell cytokine array and proteomics were performed to identify secreted factors. Results NBM is composed of adherent and nonadherent compartments containing typical hematopoietic and mesenchymal cells. MM cells, or a subset of MM cells, from all examined cases survived and grew in this system, regardless of the MM cells’ molecular risk or subtype, and growth was comparable to coculture with individual stromal cell types. Adherent and nonadherent compartments supported MM growth, and this support required patient serum for optimal growth. Increased levels of MM growth factors IL-6 and IL-10 along with MM clinical markers B2M and LDHA were detected in supernatants from the NBM coculture than from the BM cultured alone. Levels of extracellular matrix factors (e.g., MMP1, HMCN1, COL3A1, ACAN) and immunomodulatory factors (e.g., IFI16, LILRB4, PTPN6, AZGP1) were changed in the coculture system. The NBM system protected MM cells from dexamethasone but not bortezomib, and effects of lenalidomide varied. Conclusions The NBM system demonstrates the ability of primary MM plasma cells to interact with and to survive in coculture with healthy adult BM. This model is suitable for studying MM-microenvironment interactions, particularly at the early stage of engagement in new BM niches, and for characterizing MM cell subpopulations capable of long-term survival through secretion of extracellular matrix and immune-related factors. Electronic supplementary material The online version of this article (doi:10.1186/s12885-015-1892-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rakesh Bam
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Sharmin Khan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Wen Ling
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Shelton S Randal
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Xin Li
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Bart Barlogie
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Ricky Edmondson
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Shmuel Yaccoby
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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Das DS, Ray A, Song Y, Richardson P, Trikha M, Chauhan D, Anderson KC. Synergistic anti-myeloma activity of the proteasome inhibitor marizomib and the IMiD immunomodulatory drug pomalidomide. Br J Haematol 2015; 171:798-812. [PMID: 26456076 DOI: 10.1111/bjh.13780] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 08/13/2015] [Indexed: 12/22/2022]
Abstract
The proteasome inhibitor bortezomib is an effective therapy for the treatment of relapsed and refractory multiple myeloma (RRMM); however, prolonged treatment can be associated with toxicity, peripheral neuropathy and drug resistance. Our earlier studies showed that the novel proteasome inhibitor marizomib is distinct from bortezomib in its chemical structure, mechanisms of action and effects on proteasomal activities, and that it can overcome bortezomib resistance. Pomalidomide, like lenalidomide, has potent immunomodulatory activity and has been approved by the US Food and Drug Administration for the treatment of RRMM. Here, we demonstrate that combining low concentrations of marizomib with pomalidomide induces synergistic anti-MM activity. Marizomib plus pomalidomide-induced apoptosis is associated with: (i) activation of caspase-8, caspase-9, caspase-3 and PARP cleavage, (ii) downregulation of cereblon (CRBN), IRF4, MYC and MCL1, and (iii) suppression of chymotrypsin-like, caspase-like, and trypsin-like proteasome activities. CRBN-siRNA attenuates marizomib plus pomalidomide-induced MM cells death. Furthermore, marizomib plus pomalidomide inhibits the migration of MM cells and tumour-associated angiogenesis, as well as overcomes cytoprotective effects of bone marrow microenvironment. In human MM xenograft model studies, the combination of marizomib and pomalidomide is well tolerated, inhibits tumour growth and prolongs survival. These preclinical studies provide the rationale for on-going clinical trials of combined marizomib and pomalidomide to improve outcome in patients with RRMM.
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Affiliation(s)
- Deepika S Das
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Arghya Ray
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Yan Song
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Paul Richardson
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - Dharminder Chauhan
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Kenneth C Anderson
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
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38
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Amend SR, Wilson WC, Chu L, Lu L, Liu P, Serie D, Su X, Xu Y, Wang D, Gramolini A, Wen XY, O’Neal J, Hurchla M, Vachon CM, Colditz G, Vij R, Weilbaecher KN, Tomasson MH. Whole Genome Sequence of Multiple Myeloma-Prone C57BL/KaLwRij Mouse Strain Suggests the Origin of Disease Involves Multiple Cell Types. PLoS One 2015; 10:e0127828. [PMID: 26020268 PMCID: PMC4447437 DOI: 10.1371/journal.pone.0127828] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Accepted: 03/10/2015] [Indexed: 01/06/2023] Open
Abstract
Monoclonal gammopathy of undetermined significance (MGUS) is the requisite precursor to multiple myeloma (MM), a malignancy of antibody-producing plasma B-cells. The genetic basis of MGUS and its progression to MM remains poorly understood. C57BL/KaLwRij (KaLwRij) is a spontaneously-derived inbred mouse strain with a high frequency of benign idiopathic paraproteinemia (BIP), a phenotype with similarities to MGUS including progression to MM. Using mouse haplotype analysis, human MM SNP array data, and whole exome and whole genome sequencing of KaLwRij mice, we identified novel KaLwRij gene variants, including deletion of Samsn1 and deleterious point mutations in Tnfrsf22 and Tnfrsf23. These variants significantly affected multiple cell types implicated in MM pathogenesis including B-cells, macrophages, and bone marrow stromal cells. These data demonstrate that multiple cell types contribute to MM development prior to the acquisition of somatic driver mutations in KaLwRij mice, and suggest that MM may an inherently non-cell autonomous malignancy.
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Affiliation(s)
- Sarah R. Amend
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - William C. Wilson
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Liang Chu
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Lan Lu
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Pengyuan Liu
- Medical College of Wisconsin, Milwaukee, WI, United States of America
| | - Daniel Serie
- Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic College of Medicine, Rochester, MN, United States of America
| | - Xinming Su
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Yalin Xu
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Dingyan Wang
- Department of Physiology, University of Toronto, Toronto, Canada
| | | | - Xiao-Yan Wen
- Department of Physiology, University of Toronto, Toronto, Canada
| | - Julie O’Neal
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Michelle Hurchla
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Celine M. Vachon
- Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic College of Medicine, Rochester, MN, United States of America
| | - Graham Colditz
- Department of Surgery, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Ravi Vij
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Katherine N. Weilbaecher
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Michael H. Tomasson
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, United States of America
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Szalat R, Munshi NC. Genomic heterogeneity in multiple myeloma. Curr Opin Genet Dev 2015; 30:56-65. [PMID: 25982873 DOI: 10.1016/j.gde.2015.03.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 03/17/2015] [Accepted: 03/19/2015] [Indexed: 10/23/2022]
Abstract
Multiple myeloma (MM) is an incurable malignancy in majority of patients characterized by clonal proliferation of plasma cells. To date, treatment is established based on general conditions and age of patients. However, MM is a heterogeneous disease, featured by various subtypes and different outcomes. Thus, the understanding of MM biology is currently a major challenge to eventually cure the disease. During the last decade, karyotype studies and gene expression profiling have identified robust prognostic markers as well as a widespread genomic landscape. More recently, studies of epigenetic, transcriptional modifications and next generation sequencing have allowed characterization of critical genes and pathways, clonal heterogeneity and mutational profiles involved in myelomagenesis. Altogether, these findings constitute important tools to develop new targeted and personalized therapies in MM.
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Affiliation(s)
- Raphaël Szalat
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States
| | - Nikhil C Munshi
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States; VA Boston Healthcare System, Boston, MA, United States.
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Bae J, Keskin DB, Cowens K, Lee AH, Dranoff G, Munshi NC, Anderson KC. Lenalidomide Polarizes Th1-specific Anti-tumor Immune Response and Expands XBP1 Antigen-Specific Central Memory CD3 +CD8 + T cells against Various Solid Tumors. ACTA ACUST UNITED AC 2015; 3. [PMID: 27668268 PMCID: PMC5032910 DOI: 10.4172/2329-6917.1000178] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Introduction Effective combination immunotherapeutic strategies may be required to enhance effector cells’ anti-tumor activities and improve clinical outcomes. Methods XBP1 antigen-specific cytotoxic T lymphocytes (XBP1-CTL) generated using immunogenic heteroclitic XBP1 US184-192 (YISPWILAV) and XBP1 SP367-375 (YLFPQLISV) peptides or various solid tumor cells over-expressing XBP1 target antigen were evaluated, either alone or in combination with lenalidomide, for phenotype and immune functional activity. Results Lenalidomide treatment of XBP1-CTL increased the proportion of CD45RO+ memory CD3+CD8+ T cells, but not the total CD3+CD8+ T cells. Lenalidomide upregulated critical T cell activation markers and costimulatory molecules (CD28, CD38, CD40L, CD69, ICOS), especially within the central memory CTL subset of XBP1-CTL, while decreasing TCRαβ and T cell checkpoint blockade (CTLA-4, PD-1). Lenalidomide increased the anti-tumor activities of XBP1-CTL memory subsets, which were associated with expression of Th1 transcriptional regulators (T-bet, Eomes) and Akt activation, thereby resulting in enhanced IFN-γ production, granzyme B upregulation and specific CD28/CD38-positive and CTLA-4/PD-1-negative cell proliferation. Conclusions These studies suggest the potential benefit of lenalidomide treatment to boost anti-tumor activities of XBP1-specific CTL against a variety of solid tumors and enhance response to an XBP1-directing cancer vaccine regime.
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Affiliation(s)
- Jooeun Bae
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Derin B Keskin
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Kristen Cowens
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Ann-Hwee Lee
- Weill Cornell Medical College, New York, NY, USA
| | - Glen Dranoff
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Nikhil C Munshi
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA; VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Kenneth C Anderson
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
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41
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Noll JE, Hewett DR, Williams SA, Vandyke K, Kok C, To LB, Zannettino ACW. SAMSN1 is a tumor suppressor gene in multiple myeloma. Neoplasia 2015; 16:572-85. [PMID: 25117979 PMCID: PMC4198825 DOI: 10.1016/j.neo.2014.07.002] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 07/01/2014] [Accepted: 07/03/2014] [Indexed: 02/07/2023] Open
Abstract
Multiple myeloma (MM), a hematological malignancy characterized by the clonal growth of malignant plasma cells (PCs) in the bone marrow, is preceded by the benign asymptomatic condition, monoclonal gammopathy of undetermined significance (MGUS). Several genetic abnormalities have been identified as critical for the development of MM; however, a number of these abnormalities are also found in patients with MGUS, indicating that there are other, as yet unidentified, factors that contribute to the onset of MM disease. In this study, we identify a Samsn1 gene deletion in the 5TGM1/C57BL/KaLwRij murine model of myeloma. In addition, SAMSN1 expression is reduced in the malignant CD138 + PCs of patients with MM and this reduced expression correlates to total PC burden. We identify promoter methylation as a potential mechanism through which SAMSN1 expression is modulated in human myeloma cell lines. Notably, re-expression of Samsn1 in the 5TGM1 murine PC line resulted in complete inhibition of MM disease development in vivo and decreased proliferation in stromal cell–PC co-cultures in vitro. This is the first study to identify deletion of a key gene in the C57BL/KaLwRij mice that also displays reduced gene expression in patients with MM and is therefore likely to play an integral role in MM disease development.
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Affiliation(s)
- Jacqueline E Noll
- Myeloma Research Laboratory, School of Medical Sciences, Faculty of Health Science, University of Adelaide, Adelaide, Australia; Department of Haematology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia
| | - Duncan R Hewett
- Myeloma Research Laboratory, School of Medical Sciences, Faculty of Health Science, University of Adelaide, Adelaide, Australia; Department of Haematology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia
| | - Sharon A Williams
- Myeloma Research Laboratory, School of Medical Sciences, Faculty of Health Science, University of Adelaide, Adelaide, Australia; Department of Haematology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia
| | - Kate Vandyke
- Myeloma Research Laboratory, School of Medical Sciences, Faculty of Health Science, University of Adelaide, Adelaide, Australia; Department of Haematology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia
| | - Chung Kok
- Acute Myeloid Leukaemia Laboratory, Department of Haematology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia
| | - Luen B To
- Department of Haematology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia
| | - Andrew C W Zannettino
- Myeloma Research Laboratory, School of Medical Sciences, Faculty of Health Science, University of Adelaide, Adelaide, Australia; Department of Haematology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia.
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42
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The cellular origin and malignant transformation of Waldenström macroglobulinemia. Blood 2015; 125:2370-80. [DOI: 10.1182/blood-2014-09-602565] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 01/27/2015] [Indexed: 01/14/2023] Open
Abstract
Key Points
Benign (ie, IgM MGUS and smoldering WM) clonal B cells already harbor the phenotypic and molecular signatures of the malignant WM clone. Multistep transformation from benign (ie, IgM MGUS and smoldering WM) to malignant WM may require specific copy number abnormalities.
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Bae J, Samur M, Munshi A, Hideshima T, Keskin D, Kimmelman A, Lee AH, Dranoff G, Anderson KC, Munshi NC. Heteroclitic XBP1 peptides evoke tumor-specific memory cytotoxic T lymphocytes against breast cancer, colon cancer, and pancreatic cancer cells. Oncoimmunology 2014; 3:e970914. [PMID: 25941601 DOI: 10.4161/21624011.2014.970914] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Accepted: 09/25/2014] [Indexed: 11/19/2022] Open
Abstract
XBP1 is a critical transcriptional activator of the unfolded protein response (UPR), which increases tumor cell survival under prolonged endoplasmic reticulum (ER) stress and hypoxic conditions.This study was designed to evaluate the immunogenicity of heteroclitic XBP1 unspliced (US)184-192 (YISPWILAV) and heteroclictic XBP1 spliced (SP)367-375 (YLFPQLISV) HLA-A2 peptides, and to characterize the specific activities of XBP1 peptides-specific cytotoxic T lymphocytes (XBP1-CTL) against breast cancer, colon cancer, and pancreatic cancer cells.The XBP1-CTL had upregulated expression of critical T cell markers and displayed HLA-A2-restricted and antigen-specific activities against breast cancer, colon cancer and pancreatic cancer cells. XBP1-CTL were enriched withCD45RO+ memory CTL, which showed high expression of critical T cell markers (CD28, ICOS, CD69, CD40L), cell proliferation and antitumor activities as compared to CD45RO- non-memory CTL. The effector memory (EM: CD45RO+CCR7-) subset had the highest level of cell proliferation while the central memory (CM: CD45RO+CCR7+) subset demonstrated enhanced functional activities (CD107a degranulation, IFNγ/IL-2 production) upon recognition of the respective tumor cells. Furthermore, both the EM and CM XBP1-CTL subsets expressed high levels of Th1 transcription regulators Tbet and Eomes. The highest frequencies of IFNγ or granzyme B producing cells were detected within CM XBP1-CTL subset that were either Tbet+ or Eomes+ in responding to the tumor cells.These results demonstrate the immunotherapeutic potential of a cocktail of immunogenic HLA-A2 specific heteroclitic XBP1 US184-192 and heteroclictic XBP1 SP367-375 peptides to induce CD3+CD8+ CTL enriched for CM and EM cells with specific antitumor activities against a variety of solid tumors.
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Affiliation(s)
- Jooeun Bae
- Dana-Farber Cancer Institute ; Boston, MA USA ; Harvard Medical School ; Boston, MA USA
| | - Mehmet Samur
- Dana-Farber Cancer Institute ; Boston, MA USA ; Harvard Medical School ; Boston, MA USA
| | - Aditya Munshi
- Dana-Farber Cancer Institute ; Boston, MA USA ; Harvard Medical School ; Boston, MA USA
| | - Teru Hideshima
- Dana-Farber Cancer Institute ; Boston, MA USA ; Harvard Medical School ; Boston, MA USA
| | - Derin Keskin
- Dana-Farber Cancer Institute ; Boston, MA USA ; Harvard Medical School ; Boston, MA USA
| | - Alec Kimmelman
- Dana-Farber Cancer Institute ; Boston, MA USA ; Harvard Medical School ; Boston, MA USA
| | - Ann-Hwee Lee
- Weill Cornell Medical College ; New York, NY USA
| | - Glen Dranoff
- Dana-Farber Cancer Institute ; Boston, MA USA ; Harvard Medical School ; Boston, MA USA
| | - Kenneth C Anderson
- Dana-Farber Cancer Institute ; Boston, MA USA ; Harvard Medical School ; Boston, MA USA
| | - Nikhil C Munshi
- Dana-Farber Cancer Institute ; Boston, MA USA ; Harvard Medical School ; Boston, MA USA ; VA Boston Healthcare System ; Boston, MA USA
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Libby EN, Becker PS, Burwick N, Green DJ, Holmberg L, Bensinger WI. Panobinostat: a review of trial results and future prospects in multiple myeloma. Expert Rev Hematol 2014; 8:9-18. [PMID: 25410127 DOI: 10.1586/17474086.2015.983065] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Multiple myeloma is an incurable often devastating disease that is responsible for 1-2% of all cancers. Multiple myeloma is the second most common hematologic malignancy. Over the past two decades, advances in therapy have doubled life expectancy. Unfortunately, all patients ultimately relapse. Novel agents (immunomodulatory drugs and proteasome inhibitors) have changed the outlook for patients, but further breakthroughs are needed. Epigenetic treatments offer potential for advancing therapy by modifying oncogene responses. The acetylation status of various proteins can affect the availability of chromatin for transcription. This response may be modulated epigenetically to advantage using histone deacetylase inhibitors like panobinostat.
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Affiliation(s)
- Edward N Libby
- University of Washington School of Medicine - Medical Oncology, 825 Eastlake Ave E, Seattle, WA 98109, USA
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Laursen MB, Falgreen S, Bødker JS, Schmitz A, Kjeldsen MK, Sørensen S, Madsen J, El-Galaly TC, Bøgsted M, Dybkær K, Johnsen HE. Human B-cell cancer cell lines as a preclinical model for studies of drug effect in diffuse large B-cell lymphoma and multiple myeloma. Exp Hematol 2014; 42:927-38. [DOI: 10.1016/j.exphem.2014.07.263] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2014] [Revised: 07/04/2014] [Accepted: 07/14/2014] [Indexed: 12/22/2022]
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Wang L, Jin N, Schmitt A, Greiner J, Malcherek G, Hundemer M, Mani J, Hose D, Raab MS, Ho AD, Chen BA, Goldschmidt H, Schmitt M. T cell-based targeted immunotherapies for patients with multiple myeloma. Int J Cancer 2014; 136:1751-68. [PMID: 25195787 DOI: 10.1002/ijc.29190] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Revised: 08/28/2014] [Accepted: 09/03/2014] [Indexed: 12/17/2022]
Abstract
Despite high-dose chemotherapy followed by autologs stem-cell transplantation as well as novel therapeutic agents, multiple myeloma (MM) remains incurable. Following the general trend towards personalized therapy, targeted immunotherapy as a new approach in the therapy of MM has emerged. Better progression-free survival and overall survival after tandem autologs/allogeneic stem cell transplantation suggest a graft versus myeloma effect strongly supporting the usefulness of immunological therapies for MM patients. How to induce a powerful antimyeloma effect is the key issue in this field. Pivotal is the definition of appropriate tumor antigen targets and effective methods for expansion of T cells with clinical activity. Besides a comprehensive list of tumor antigens for T cell-based approaches, eight promising antigens, CS1, Dickkopf-1, HM1.24, Human telomerase reverse transcriptase, MAGE-A3, New York Esophageal-1, Receptor of hyaluronic acid mediated motility and Wilms' tumor gene 1, are described in detail to provide a background for potential clinical use. Results from both closed and on-going clinical trials are summarized in this review. On the basis of the preclinical and clinical data, we elaborate on three encouraging therapeutic options, vaccine-enhanced donor lymphocyte infusion, chimeric antigen receptors-transfected T cells as well as vaccines with multiple antigen peptides, to pave the way towards clinically significant immune responses against MM.
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Affiliation(s)
- Lei Wang
- Department of Internal Medicine V, University Clinic Heidelberg, University of Heidelberg, Germany
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Abstract
New, next-generation targeted treatment strategies are required to improve outcomes in patients with multiple myeloma (MM). Monoclonal antibodies, cell signaling inhibitors, and selective therapies targeting the bone marrow microenvironment have demonstrated encouraging results with generally manageable toxicity in therapeutic trials of patients with relapsed and refractory disease, each critically informed by preclinical studies. A combination approach of these newer agents with immunomodulators and/or proteasome inhibitors as part of a treatment platform seems to improve the efficacy of anti-MM regimens, even in heavily pretreated patients. Future studies are required to better understand the complex mechanisms of drug resistance in MM.
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MicroRNA: important player in the pathobiology of multiple myeloma. BIOMED RESEARCH INTERNATIONAL 2014; 2014:521586. [PMID: 24991558 PMCID: PMC4065722 DOI: 10.1155/2014/521586] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Accepted: 05/19/2014] [Indexed: 01/13/2023]
Abstract
Recent studies have revealed a pivotal role played by a class of small, noncoding RNAs, microRNA (miRNA), in multiple myeloma (MM), a plasma cell (PC) malignancy causing significant morbidity and mortality. Deregulated miRNA expression in patient's PCs and plasma has been associated with tumor progression, molecular subtypes, clinical staging, prognosis, and drug response in MM. A number of important oncogenic and tumor suppressor miRNAs have been discovered to regulate important genes and pathways such as p53 and IL6-JAK-STAT signaling. miRNAs may also form complex regulatory circuitry with genetic and epigenetic machineries, the deregulation of which could lead to malignant transformation and progression. The translational potential of miRNAs in the clinic is being increasingly recognized that they could represent novel biomarkers and therapeutic targets. This review comprehensively summarizes current progress in delineating the roles of miRNAs in MM pathobiology and management.
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In vivo models of multiple myeloma (MM). Biochem Pharmacol 2014; 89:313-20. [DOI: 10.1016/j.bcp.2014.03.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Revised: 03/25/2014] [Accepted: 03/25/2014] [Indexed: 11/22/2022]
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