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Wang H, Zhang G, Dong L, Chen L, Liang L, Ge L, Gai D, Shen X. Identification and study of cuproptosis-related genes in prognostic model of multiple myeloma. Hematology 2023; 28:2249217. [PMID: 37610069 DOI: 10.1080/16078454.2023.2249217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 08/11/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Multiple myeloma (MM) is a highly heterogeneous disease. Cuproptosis is a novel mode of death that is closely associated with several diseases, such as hepatocellular carcinoma. However, its role in MM is unknown. METHODS MM transcriptomic and clinical data were obtained from UCSC Xena and gene expression omnibus (GEO) databases. Following MM samples were divided into different subtypes based on the cuproptosis genes, the differentially expressed genes (DEGs) among different subtypes, namely, candidate cuproptosis related genes were analyzed by univariate Cox and least absolute shrinkage and selection operator (LASSO) regression to construct a cuproptosis-related risk model. After the independent prognostic analysis was performed, a nomogram was constructed. Finally, Functional enrichment analysis and immune infiltration analysis were performed in the high- and low-risk groups, potential therapeutic agents were then predicted. RESULTS The 784 MM samples in UCSC Xena cohorts were divided into three different subtypes, and 4 out of 346 candidate cuproptosis related genes, namely CDKN2A, BCL3, KCNA3 and TTC14 were used to construct a risk model. Risk score was considered a reliable independent prognostic factor for MM patients. It was investigated that the pathway of cell cycle was significantly enriched in the high-risk group. In addition, immune score, ESTIMATE score and cytolytic activity were significantly different between different risk groups, as well as 13 immune cells such as memory B cells. Nine drugs were predicted in our study. CONCLUSION A cuproptosis-related prognostic model was constructed, which may have a potential guiding role in the treatment of MM.
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Affiliation(s)
- Haili Wang
- Shanxi Medical University, Taiyuan, People's Republic of China
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, People's Republic of China
| | - Guoxiang Zhang
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, People's Republic of China
| | - Lu Dong
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, People's Republic of China
| | - Lu Chen
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, People's Republic of China
| | - Li Liang
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, People's Republic of China
| | - Li Ge
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, People's Republic of China
| | - Dongzheng Gai
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, People's Republic of China
| | - Xuliang Shen
- Shanxi Medical University, Taiyuan, People's Republic of China
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, People's Republic of China
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何 旎, 周 文. [Latest Findings on the Mechanism of the Interaction Between Multiple Myeloma Cells and Bone Marrow Microenvironment]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2023; 54:475-481. [PMID: 37248571 PMCID: PMC10475439 DOI: 10.12182/20230560207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Indexed: 05/31/2023]
Abstract
Multiple myeloma (MM) is a hematologic malignancy of terminally differentiated plasma cells. The mechanisms of the pathogenesis and progression of MM include genetic abnormalities of the MM cells and the interaction between MM cells and bone marrow microenvironment (BMME). MM cells start malignant proliferation in BMME and contribute to the pathogenesis and progression of MM through direct or indirect interactions between cells and the extracellular matrix. Exploring the mechanism of interaction between MM cells and the microenvironment is crucial to improving our understanding of the pathogenesis and progression of MM and early diagnosis and treatment. In addition, the metabolic reprogramming of tumors is one of the key issues of oncology research. Herein, we summarized published findings on the the altered metabolic reprogramming of MM and the characteristics of MM metabolic-microbial interactions in order to gain an in-depth understanding of MM pathogenesis and progression and drug resistance mechanisms, and ultimately to explore for new strategies for MM treatment.
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Affiliation(s)
- 旎涵 何
- 中南大学基础医学院 肿瘤研究所 (长沙 412000)Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 412000, China
| | - 文 周
- 中南大学基础医学院 肿瘤研究所 (长沙 412000)Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 412000, China
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Casadonte R, Kriegsmann J, Kriegsmann M, Kriegsmann K, Torcasio R, Gallo Cantafio ME, Viglietto G, Amodio N. A Comparison of Different Sample Processing Protocols for MALDI Imaging Mass Spectrometry Analysis of Formalin-Fixed Multiple Myeloma Cells. Cancers (Basel) 2023; 15:cancers15030974. [PMID: 36765932 PMCID: PMC9913598 DOI: 10.3390/cancers15030974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Sample processing of formalin-fixed specimens constitutes a major challenge in molecular profiling efforts. Pre-analytical factors such as fixative temperature, dehydration, and embedding media affect downstream analysis, generating data dependent on technical processing rather than disease state. In this study, we investigated two different sample processing methods, including the use of the cytospin sample preparation and automated sample processing apparatuses for proteomic analysis of multiple myeloma (MM) cell lines using imaging mass spectrometry (IMS). In addition, two sample-embedding instruments using different reagents and processing times were considered. Three MM cell lines fixed in 4% paraformaldehyde were either directly centrifuged onto glass slides using cytospin preparation techniques or processed to create paraffin-embedded specimens with an automatic tissue processor, and further cut onto glass slides for IMS analysis. The number of peaks obtained from paraffin-embedded samples was comparable between the two different sample processing instruments. Interestingly, spectra profiles showed enhanced ion yield in cytospin compared to paraffin-embedded samples along with high reproducibility compared to the sample replicate.
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Affiliation(s)
- Rita Casadonte
- Proteopath GmbH, 54296 Trier, Germany
- Correspondence: (R.C.); (N.A.)
| | - Jörg Kriegsmann
- Proteopath GmbH, 54296 Trier, Germany
- Department of Medicine, Faculty of Medicine and Dentistry, Danube Private University, 3500 Krems, Austria
| | - Mark Kriegsmann
- Institute of Pathology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Katharina Kriegsmann
- Department of Hematology, Oncology and Rheumatology, Heidelberg University, 69120 Heidelberg, Germany
| | - Roberta Torcasio
- Department of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
- Laboratory of Cellular and Molecular Cardiovascular Pathophysiology, Department of Biology, Ecology and Earth Sciences (DiBEST), University of Calabria, Arcavacata di Rende, 87036 Cosenza, Italy
| | | | - Giuseppe Viglietto
- Department of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Nicola Amodio
- Department of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
- Correspondence: (R.C.); (N.A.)
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4
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Wang Q, Shi Q, Lu J, Wang Z, Hou J. Causal relationships between inflammatory factors and multiple myeloma: A bidirectional Mendelian randomization study. Int J Cancer 2022; 151:1750-1759. [PMID: 35841389 DOI: 10.1002/ijc.34214] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/21/2022] [Accepted: 07/05/2022] [Indexed: 11/07/2022]
Abstract
Changes in serum inflammatory factors occur throughout the onset and multiple myeloma (MM) progression, the feedback loops make it harder to distinguish between causes and effects. In the present study, we performed a bidirectional summary-level Mendelian randomization (MR) analysis to elucidate the causal relationships of C-reactive protein (CRP) and inflammatory regulators with MM. Summary-level data of genetic variants associated with inflammation were extracted from two genome-wide association studies (GWASs) on CRP and human cytokines, while data on MM was from large meta-analyses of GWASs among 372 617 UK Biobank participants. The inverse-variance weighted (IVW) method was used as the primary MR analysis and MR-Egger, weighted median, and MR-pleiotropy residual sum and outlier (MR-PRESSO) were used as the sensitivity analyses. Our results suggested that higher levels of monocyte-specific chemokine-3 (IVW estimate odds ratio [ORIVW ] per SD genetic cytokines change: 1.24; 95% confidence interval [CI]: 1.03-1.49; P = .02), vascular endothelial growth factor (1.14, 1.03-1.27; P = .02), interleukin-10 (1.33, 1.01-1.75; P = .04) and interleukin-7 (1.24, 1.03-1.48; P = .02) were associated with increased risk of MM, while lower levels of tumor necrosis factor-β (0.84, 0.74-0.92; P < .001) was strongly associated with an increased risk of MM. And conversely, genetically predicted MM was related to increased levels of interleukin-17 (IVW estimate β: 0.051, 95% CI: 0.018-0.085; P = 2.7 × 10-3 ). Besides, we observed no such significant associations for other inflammatory factors in our study. Overall, our study provides genetic evidence on the relationships of CRP and systemic inflammatory regulators with MM. Targeted interventions of specific inflammatory factors may have implications to alleviate MM cancer risk.
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Affiliation(s)
- Qiangsheng Wang
- Department of Hematology, Ningbo Hangzhou Bay Hospital, Ningbo, Zhejiang, China
| | - Qiqin Shi
- Department of Ophthalmology, Ningbo Hangzhou Bay Hospital, Ningbo, Zhejiang, China
| | - Jiawen Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhenqian Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jian Hou
- Department of Hematology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Abu Sabaa A, Shen Q, Lennmyr EB, Enblad AP, Gammelgård G, Molin D, Hein A, Freyhult E, Kamali-Moghaddam M, Höglund M, Enblad G, Eriksson A. Plasma protein biomarker profiling reveals major differences between acute leukaemia, lymphoma patients and controls. N Biotechnol 2022; 71:21-29. [PMID: 35779858 DOI: 10.1016/j.nbt.2022.06.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 06/25/2022] [Accepted: 06/26/2022] [Indexed: 11/29/2022]
Abstract
Aiming to accommodate the unmet need for easily accessible biomarkers with a focus on biological differences between haematological diseases, the diagnostic value of plasma proteins in acute leukaemias and lymphomas was investigated. A multiplex proximity extension assay (PEA) was used to analyze 183 proteins in diagnostic plasma samples from 251 acute leukaemia and lymphoma patients and compared with samples from 60 healthy controls. Multivariate modelling using partial least square discriminant analysis revealed highly significant differences between distinct disease subgroups and controls. The model allowed explicit distinction between leukaemia and lymphoma, with few patients misclassified. Acute leukaemia samples had higher levels of proteins associated with haemostasis, inflammation, cell differentiation and cell-matrix integration, whereas lymphoma samples demonstrated higher levels of proteins known to be associated with tumour microenvironment and lymphoma dissemination. PEA technology can be used to screen for large number of plasma protein biomarkers in low µL sample volumes, enabling the distinction between controls, acute leukaemias and lymphomas. Plasma protein profiling could help gain insights into the pathophysiology of acute leukaemia and lymphoma and the technique may be a valuable tool in the diagnosis of these diseases.
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Affiliation(s)
- Amal Abu Sabaa
- Department of Immunology, Genetics & Pathology, Uppsala University, Uppsala, Sweden; Centre for Research and Development, Uppsala University/Region Gävleborg, Sweden.
| | - Qiujin Shen
- Department of Immunology, Genetics & Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Anna Pia Enblad
- Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
| | - Gustav Gammelgård
- Department of Immunology, Genetics & Pathology, Uppsala University, Uppsala, Sweden
| | - Daniel Molin
- Department of Immunology, Genetics & Pathology, Uppsala University, Uppsala, Sweden
| | - Anders Hein
- Department of Immunology, Genetics & Pathology, Uppsala University, Uppsala, Sweden
| | - Eva Freyhult
- Department of Medical Sciences, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Masood Kamali-Moghaddam
- Department of Immunology, Genetics & Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Martin Höglund
- Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
| | - Gunilla Enblad
- Department of Immunology, Genetics & Pathology, Uppsala University, Uppsala, Sweden
| | - Anna Eriksson
- Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
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6
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Späth F, Wu WYY, Krop EJM, Bergdahl IA, Wibom C, Vermeulen R. Intraindividual Long-term Immune Marker Stability in Plasma Samples Collected in Median 9.4 Years Apart in 304 Adult Cancer-free Individuals. Cancer Epidemiol Biomarkers Prev 2021; 30:2052-2058. [PMID: 34426415 DOI: 10.1158/1055-9965.epi-21-0509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/22/2021] [Accepted: 08/09/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Changes in immune marker levels in the blood could be used to improve the early detection of tumor-associated inflammatory processes. To increase predictiveness and utility in cancer detection, intraindividual long-term stability in cancer-free individuals is critical for biomarker candidates as to facilitate the detection of deviation from the norm. METHODS We assessed intraindividual long-term stability for 19 immune markers (IL10, IL13, TNFα, CXCL13, MCP-3, MIP-1α, MIP-1β, fractalkine, VEGF, FGF-2, TGFα, sIL2Rα, sIL6R, sVEGF-R2, sTNF-R1, sTNF-R2, sCD23, sCD27, and sCD30) in 304 cancer-free individuals. Repeated blood samples were collected up to 20 years apart. Intraindividual reproducibility was assessed by calculating intraclass correlation coefficients (ICC) using a linear mixed model. RESULTS ICCs indicated fair to good reproducibility (ICCs ≥ 0.40 and < 0.75) for 17 of 19 investigated immune markers, including IL10, IL13, TNFα, CXCL13, MCP-3, MIP-1α, MIP-1β, fractalkine, VEGF, FGF-2, TGFα, sIL2Rα, sIL6R, sTNF-R1, sTNF-R2, sCD27, and sCD30. Reproducibility was strong (ICC ≥ 0.75) for sCD23, while reproducibility was poor (ICC < 0.40) for sVEGF-R2. Using a more stringent criterion for reproducibility (ICC ≥ 0.55), we observed either acceptable or better reproducibility for IL10, IL13, CXCL13, MCP-3, MIP-1α, MIP-1β, VEGF, FGF-2, sTNF-R1, sCD23, sCD27, and sCD30. CONCLUSIONS IL10, IL13, CXCL13, MCP-3, MIP-1α, MIP-1β, VEGF, FGF-2, sTNF-R1, sCD23, sCD27, and sCD30 displayed ICCs consistent with intraindividual long-term stability in cancer-free individuals. IMPACT Our data support using these markers in prospective longitudinal studies seeking early cancer detection biomarkers.
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Affiliation(s)
- Florentin Späth
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden. .,Department of Radiation Sciences, Oncology, Cancer Center, Department of Hematology, Umeå University, Umeå, Sweden
| | - Wendy Yi-Ying Wu
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Esmeralda J M Krop
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | | | - Carl Wibom
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
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Next-Generation Biomarkers in Multiple Myeloma: Understanding the Molecular Basis for Potential Use in Diagnosis and Prognosis. Int J Mol Sci 2021; 22:ijms22147470. [PMID: 34299097 PMCID: PMC8305153 DOI: 10.3390/ijms22147470] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 06/25/2021] [Accepted: 07/02/2021] [Indexed: 12/19/2022] Open
Abstract
Multiple myeloma (MM) is considered to be the second most common blood malignancy and it is characterized by abnormal proliferation and an accumulation of malignant plasma cells in the bone marrow. Although the currently utilized markers in the diagnosis and assessment of MM are showing promising results, the incidence and mortality rate of the disease are still high. Therefore, exploring and developing better diagnostic or prognostic biomarkers have drawn global interest. In the present review, we highlight some of the recently reported and investigated novel biomarkers that have great potentials as diagnostic and/or prognostic tools in MM. These biomarkers include angiogenic markers, miRNAs as well as proteomic and immunological biomarkers. Moreover, we present some of the advanced methodologies that could be utilized in the early and competent diagnosis of MM. The present review also focuses on understanding the molecular concepts and pathways involved in these biomarkers in order to validate and efficiently utilize them. The present review may also help in identifying areas of improvement for better diagnosis and superior outcomes of MM.
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Tian FQ, Chen ZR, Zhu W, Tang MQ, Li JH, Zhang XC, Jiang J, Cheng XH. Inhibition of hsa_circ_0003489 shifts balance from autophagy to apoptosis and sensitizes multiple myeloma cells to bortezomib via miR-874-3p/HDAC1 axis. J Gene Med 2021; 23:e3329. [PMID: 33625798 DOI: 10.1002/jgm.3329] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 02/03/2021] [Accepted: 02/03/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Circular RNAs (circRNAs) crucially regulate tumor progression. In this study, we examined the functional roles and mechanisms of hsa_circ_0003489 in multiple myeloma (MM). METHODS Upon altering the expressions of hsa_circ_0003489, miR-874-3p, and/or histone deacetylase 1 (HDAC1) in MM1.R cells and treating them with bortezomib (BTZ), cell viability was examined by CCK-8 assay; cell proliferation by Ki-67 immunofluorescence; apoptosis by TUNEL staining, flow cytometry, and western blot; and autophagy by electron microscopy and western blot. The interaction between hsa_circ_0003489 and miR-874-3p as well as that between miR-874-3p and HDAC1 was examined by expressional analysis, dual luciferase reporter assay, and RNA immunoprecipitation. The in vivo impacts of hsa_circ_0003489 on MM growth and sensitivity to BTZ were examined using an MM xenograft mouse model. RESULTS Knocking down hsa_circ_0003489 significantly inhibited the viability, cell proliferation, and autophagy, while promoting the apoptosis of MM cells in vitro and MM xenograft in vivo. Suppressing hsa_circ_0003489 also further boosted the cytotoxic effects of BTZ in MM cells and reversed its promoting effect on autophagy. Mechanically, hsa_circ_0003489 acted as a sponge of miR-874-3p and positively regulated the expression of miR-874-3p target, HDAC1. MiR-874-3p and HDAC1 essentially mediated the effects of hsa_circ_0003489 on cell viability, proliferation, apoptosis, and autophagy. CONCLUSION The hsa_circ_0003489/miR-874-3p/HDAC1 axis critically regulates the balance between apoptosis and autophagy. Silencing hsa_circ_0003489 sensitizes MM cells to BTZ by inhibiting autophagy and thus may boost the therapeutic effects of BTZ.
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Affiliation(s)
- Fa-Qing Tian
- Department of Hematology, Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong Province, China
| | - Zi-Ren Chen
- Department of Hematological Oncology, Shenzhen University General Hospital, Shenzhen, Guangdong Province, China
| | - Wei Zhu
- Department of Pathology, School of Basic Medicine, Guangdong Medical University, Dongguan, Guangdong Province, China
| | - Mei-Qin Tang
- Department of Hematology, Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong Province, China
| | - Ju-Heng Li
- Department of Hematology, Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong Province, China
| | - Xu-Chang Zhang
- Department of Hematology, Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong Province, China
| | - Jian Jiang
- Department of Hematology, Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong Province, China
| | - Xiao-Hui Cheng
- Department of Hematology, Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong Province, China
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9
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Immunological Prognostic Factors in Multiple Myeloma. Int J Mol Sci 2021; 22:ijms22073587. [PMID: 33808304 PMCID: PMC8036885 DOI: 10.3390/ijms22073587] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/25/2021] [Accepted: 03/29/2021] [Indexed: 12/11/2022] Open
Abstract
Multiple myeloma (MM) is a plasma cell neoplasm characterized by an abnormal proliferation of clonal, terminally differentiated B lymphocytes. Current approaches for the treatment of MM focus on developing new diagnostic techniques; however, the search for prognostic markers is also crucial. This enables the classification of patients into risk groups and, thus, the selection of the most optimal treatment method. Particular attention should be paid to the possible use of immune factors, as the immune system plays a key role in the formation and course of MM. In this review, we focus on characterizing the components of the immune system that are of prognostic value in MM patients, in order to facilitate the development of new diagnostic and therapeutic directions.
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Hofmann JN, Landgren O, Landy R, Kemp TJ, Santo L, McShane CM, Shearer JJ, Lan Q, Rothman N, Pinto LA, Pfeiffer RM, Hildesheim A, Katki HA, Purdue MP. A Prospective Study of Circulating Chemokines and Angiogenesis Markers and Risk of Multiple Myeloma and Its Precursor. JNCI Cancer Spectr 2020; 4:pkz104. [PMID: 33336146 PMCID: PMC7083234 DOI: 10.1093/jncics/pkz104] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 08/08/2019] [Accepted: 12/12/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Experimental and clinical studies have implicated certain chemokines and angiogenic cytokines in multiple myeloma (MM) pathogenesis. To investigate whether systemic concentrations of these markers are associated with future MM risk and progression from its precursor, monoclonal gammopathy of undetermined significance (MGUS), we conducted a prospective study within the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. METHODS We measured concentrations of 45 immunologic and pro-angiogenic markers in sera from 241 MM case patients, 441 participants with nonprogressing MGUS, and 258 MGUS-free control participants using Luminex-based multiplex assays and enzyme-linked immunosorbent assays. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression. We also evaluated absolute risk of progression using weighted Kaplan-Meier estimates. All statistical tests were two-sided. RESULTS Prediagnostic levels of six markers were statistically significantly elevated among MM case patients compared with MGUS-free control participants using a false discovery rate of 10% (EGF, HGF, Ang-2, CXCL12, CCL8, and BMP-9). Of these, three angiogenesis markers were associated with future progression from MGUS to MM: EGF (fourth vs first quartile: OR = 3.01, 95% CI = 1.61 to 5.63, P trend = .00028), HGF (OR = 2.59, 95% CI = 1.33 to 5.03, P trend = .015), and Ang-2 (OR = 2.14, 95% CI = 1.15 to 3.98, P trend = .07). A composite angiogenesis biomarker score substantially stratified risk of MGUS progression to MM beyond established risk factors for progression, particularly during the first 5 years of follow-up (areas under the curve of 0.71 and 0.64 with and without the angiogenesis marker score, respectively). CONCLUSIONS Our prospective findings provide new insights into mechanisms involved in MM development and suggest that systemic angiogenesis markers could potentially improve risk stratification models for MGUS patients.
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Affiliation(s)
- Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rebecca Landy
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Troy J Kemp
- Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, USA
| | - Loredana Santo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Charlene M McShane
- Cancer Epidemiology and Health Services Research Group, Centre for Public Health, Queen’s University, Belfast, Northern Ireland, UK
| | - Joseph J Shearer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ligia A Pinto
- Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Hormuzd A Katki
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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