Utilization of analytical omics tools in the molecular diagnostics of multiple myeloma

Z. Kovács, A. Guttman

Research output: Contribution to journalReview article

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.

Original languageEnglish
Pages (from-to)260-272
Number of pages13
JournalCurrent Molecular Medicine
Volume18
Issue number4
DOIs
Publication statusPublished - Jan 1 2018

Fingerprint

Molecular Pathology
Multiple Myeloma
Lymphocytes
Utilization Review
Glycomics
Cellular Microenvironment
Metabolomics
Tumor Microenvironment
Tumors
Bone
Genomics
Cells
Proteomics
Plasmas
Disease Progression
B-Lymphocytes
Bone Marrow
Neoplasms
Therapeutics

Keywords

  • Genomics
  • Glycomics
  • Lipidomics
  • Metabolomics
  • Molecular diagnostics
  • Multiple myeloma
  • Proteomics

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Medicine
  • Molecular Biology

Cite this

Utilization of analytical omics tools in the molecular diagnostics of multiple myeloma. / Kovács, Z.; Guttman, A.

In: Current Molecular Medicine, Vol. 18, No. 4, 01.01.2018, p. 260-272.

Research output: Contribution to journalReview article

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