Abstract
Multiple myeloma (MM) is characterized by the clonal proliferation of malignant plasma B-lymphocytes and even as of today, it is an incurable disease. MM accounts for approximately 10% of all hematologic cancers. Its molecular pathogenesis is poorly understood, but the bone marrow microenvironment of tumor cells and genetic factors have apparent roles in the process. Accurate diagnosis is important to properly identify and stratify the disease, however, MM identification steps are time-consuming and expensive. Thus, development of early molecular diagnostic methods is of high importance in order to start proper therapies as early in the disease progression as possible, given the nature of the poor survival rates/remission periods. Molecular diagnostics via analytical omics represents one of the promising toolsets to speed up the diagnostic process. In this paper, we critically review the utilization of state of the art, high sensitivity analytical omics approaches (genomics, proteomics, metabolomics, lipidomics and glycomics) in MM diagnostics at the molecular level.
Keywords: Multiple myeloma, molecular diagnostics, genomics, proteomics, metabolomics, lipidomics, glycomics.
Current Molecular Medicine
Title:Utilization of Analytical Omics Tools in the Molecular Diagnostics of Multiple Myeloma
Volume: 18 Issue: 4
Author(s): Z. Kovacs and A. Guttman*
Affiliation:
- Horvath Csaba Laboratory of Bioseparation Sciences, Research Centre for Molecular Medicine, Faculty of Medicine, University of Debrecen, Debrecen 4032,Hungary
Keywords: Multiple myeloma, molecular diagnostics, genomics, proteomics, metabolomics, lipidomics, glycomics.
Abstract: Multiple myeloma (MM) is characterized by the clonal proliferation of malignant plasma B-lymphocytes and even as of today, it is an incurable disease. MM accounts for approximately 10% of all hematologic cancers. Its molecular pathogenesis is poorly understood, but the bone marrow microenvironment of tumor cells and genetic factors have apparent roles in the process. Accurate diagnosis is important to properly identify and stratify the disease, however, MM identification steps are time-consuming and expensive. Thus, development of early molecular diagnostic methods is of high importance in order to start proper therapies as early in the disease progression as possible, given the nature of the poor survival rates/remission periods. Molecular diagnostics via analytical omics represents one of the promising toolsets to speed up the diagnostic process. In this paper, we critically review the utilization of state of the art, high sensitivity analytical omics approaches (genomics, proteomics, metabolomics, lipidomics and glycomics) in MM diagnostics at the molecular level.
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Cite this article as:
Kovacs Z. and Guttman A.*, Utilization of Analytical Omics Tools in the Molecular Diagnostics of Multiple Myeloma, Current Molecular Medicine 2018; 18 (4) . https://dx.doi.org/10.2174/1566524018666181008112738
DOI https://dx.doi.org/10.2174/1566524018666181008112738 |
Print ISSN 1566-5240 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5666 |
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