4.7 Article

Desmoglein-2 expression is an independent predictor of poor prognosis patients with multiple myeloma

Journal

MOLECULAR ONCOLOGY
Volume 16, Issue 6, Pages 1221-1240

Publisher

WILEY
DOI: 10.1002/1878-0261.13055

Keywords

adhesion; bone marrow; desmoglein-2; multiple myeloma; plasma cells; prognostic

Categories

Funding

  1. Royal Adelaide Hospital Research Fund
  2. NHMRC [GNT1022150]
  3. Unite the Fight-Beat Multiple Myeloma
  4. Cancer Australia PdCCRS - Cure Cancer Australia
  5. Cancer Council SA Beat Cancer
  6. State Government of South Australia through the Department of Health
  7. Cancer Council SA Beat Cancer Project
  8. Medvet Laboratories Pty Ltd
  9. Government of South Australia

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Desmoglein-2 (DSG2) is found to be overexpressed in approximately 20% of bone marrow biopsies from newly diagnosed multiple myeloma patients, and it is strongly predictive of poor clinical outcome, independent of genetic subtype or routinely measured biomarkers of MM activity. This cell surface protein may serve as a potential biomarker that can be quickly detected by flow cytometry to predict disease trajectory at the time of diagnosis.
Multiple myeloma (MM) is the second most common haematological malignancy and is an incurable disease of neoplastic plasma cells (PC). Newly diagnosed MM patients currently undergo lengthy genetic testing to match chromosomal mutations with the most potent drug/s to decelerate disease progression. With only 17% of MM patients surviving 10-years postdiagnosis, faster detection and earlier intervention would unequivocally improve outcomes. Here, we show that the cell surface protein desmoglein-2 (DSG2) is overexpressed in similar to 20% of bone marrow biopsies from newly diagnosed MM patients. Importantly, DSG2 expression was strongly predictive of poor clinical outcome, with patients expressing DSG2 above the 70(th) percentile exhibiting an almost 3-fold increased risk of death. As a prognostic factor, DSG2 is independent of genetic subtype as well as the routinely measured biomarkers of MM activity (e.g. paraprotein). Functional studies revealed a nonredundant role for DSG2 in adhesion of MM PC to endothelial cells. Together, our studies suggest DSG2 to be a potential cell surface biomarker that can be readily detected by flow cytometry to rapidly predict disease trajectory at the time of diagnosis.

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