Rheumatologic diseases impact the risk of progression of MGUS to overt multiple myeloma

Normann Steiner1, Georg Göbel2, Daniela Michaeler3

  • 1Department of Internal Medicine V, Haematology and Medical Oncology, and.

Blood Advances
|March 22, 2021
PubMed

Insights

Patients with monoclonal gammopathy of undetermined significance (MGUS) and non-antibody-mediated rheumatic diseases (RDs) face a doubled risk of progressing to multiple myeloma (MM). This highlights the impact of chronic inflammation on MGUS transformation risk.

Area of Science:

  • Hematology
  • Rheumatology
  • Oncology

Background:

  • Monoclonal gammopathy of undetermined significance (MGUS) is a premalignant condition often incidentally found in patients with chronic inflammatory rheumatic diseases (RDs).
  • While the association between MGUS and RDs is known, the effect of RDs on the progression risk of MGUS to multiple myeloma (MM) remains unevaluated.

Purpose of the Study:

  • To investigate the impact of concomitant rheumatic diseases (RDs) on the risk of progression from monoclonal gammopathy of undetermined significance (MGUS) to multiple myeloma (MM).

Main Methods:

  • A cohort of 2935 MGUS patients diagnosed between 2000 and 2016 were screened for concurrent RDs.
  • RDs were categorized into antibody (Ab)-mediated and non-Ab-mediated groups.
  • Progression to MM was analyzed using time-to-event data, incorporating standard risk factors.

Main Results:

  • Of 2935 MGUS patients, 255 (9%) had a concomitant RD.
  • MGUS patients with non-Ab-mediated RDs showed a doubled risk of progression to MM (HR, 2.1; P = .02).
  • The 5-year progression risk was 10% for non-Ab-mediated RDs versus 4% for no RD and 2% for Ab-mediated RDs. In a refined model, non-Ab-mediated RDs conferred the highest risk (HR, 6.8; P = .01).

Conclusions:

  • Chronic inflammatory diseases, particularly non-Ab-mediated RDs, significantly increase the risk of MGUS progression to multiple myeloma.
  • These findings suggest that RDs may warrant consideration in future prognostic models for MGUS risk stratification.

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