A simple additive staging system for newly diagnosed multiple myeloma

Blood Cancer J. 2022 Jan 31;12(1):21. doi: 10.1038/s41408-022-00611-x.


Risk stratification in multiple myeloma is important for prognostication, patient selection for clinical trials, and comparison of treatment approaches. We developed and validated a staging system that incorporates additional FISH abnormalities not included in the R-ISS and reflects the additive effects of co-occurring high-risk disease features. We first evaluated the prognostic value of predefined cytogenetic and laboratory abnormalities in 2556 Mayo Clinic patients diagnosed between February 2004 and June 2019. We then used data from 1327 patients to develop a risk stratification model and validated this in 502 patients enrolled in the MMRF CoMMpass study. On multivariate analysis, high-risk IgH translocations [risk ratio (RR): 1.7], 1q gain/amplification (RR: 1.4), chromosome17 abnormalities (RR: 1.6), ISS III (RR: 1.7), and elevated LDH (RR: 1.3) were independently associated with decreased overall survival (OS). Among 1327 evaluable patients, OS was 11.0 (95% CI: 9.2-12.6), 7.0 (95% CI: 6.3-9.2), and 4.5 (95% CI: 3.7-5.2) years in patients with 0 (stage I), 1 (stage II), and ≥2 (stage III) high-risk factors, respectively. In the MMRF cohort, median OS was 7.8 (95% CI: NR-NR), 6.0 (95% CI: 5.7-NR), and 4.3 (95% CI: 2.7-NR) years in the 3 groups, respectively (P < 0.001). This 5-factor, 3-tier system is easy to implement in practice and improves upon the current R-ISS.

MeSH terms

  • Aged
  • Chromosome Aberrations
  • Cytogenetic Analysis
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multiple Myeloma / diagnosis
  • Multiple Myeloma / epidemiology
  • Multiple Myeloma / genetics
  • Multiple Myeloma / pathology*
  • Neoplasm Staging / methods
  • Prognosis
  • Risk Factors
  • Survival Analysis