Cutting edge genomics reveal new insights into tumour development, disease progression and therapeutic impacts in multiple myeloma

Br J Haematol. 2017 Jul;178(2):196-208. doi: 10.1111/bjh.14649. Epub 2017 May 3.

Abstract

Multiple Myeloma (MM) is a haematological malignancy characterised by the clonal expansion of plasma cells (PCs) within the bone marrow. Despite advances in therapy, MM remains a largely incurable disease with a median survival of 6 years. In almost all cases, the development of MM is preceded by the benign PC condition Monoclonal Gammopathy of Undetermined Significance (MGUS). Recent studies show that the transformation of MGUS to MM is associated with complex genetic changes. Understanding how these changes contribute to evolution will present targets for clinical intervention. We discuss three models of MM evolution; the linear, the expansionist and the intraclonal heterogeneity models. Of particular interest is the intraclonal heterogeneity model. Here, distinct populations of MM PCs carry differing combinations of genetic mutations. Acquisition of additional mutations can contribute to subclonal lineages where "driver" mutations may influence selective pressure and dominance, and "passenger" mutations are neutral in their effects. Furthermore, studies show that clinical intervention introduces additional selective pressure on tumour cells and can influence subclone survival, leading to therapy resistance. This review discusses how Next Generation Sequencing approaches are revealing critical insights into the genetics of MM development, disease progression and treatment. MM disease progression will illuminate possible mechanisms underlying the tumour.

Keywords: clinical impacts; genomics; intraclonal heterogeneity; multiple myeloma; tumour evolution.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antineoplastic Combined Chemotherapy Protocols / therapeutic use
  • Disease Progression
  • Enzyme Inhibitors / therapeutic use
  • Epigenesis, Genetic / genetics
  • Forecasting
  • Genomics / methods*
  • Genomics / trends
  • Humans
  • Immunologic Factors / therapeutic use
  • Multiple Myeloma / drug therapy
  • Multiple Myeloma / genetics*
  • Mutation / genetics

Substances

  • Enzyme Inhibitors
  • Immunologic Factors