Association of increased microvessel density with skeletal extramedullary disease relapse in multiple myeloma patients who have skeletal extramedullary disease at diagnosis

Pathol Res Pract. 2018 Oct;214(10):1694-1699. doi: 10.1016/j.prp.2018.08.018. Epub 2018 Aug 19.

Abstract

The aim of the study was to investigate whether microvessel density (MVD) could be associated with skeletal extramedullary disease relapse (skeletal-EMDR) in patients with multiple myeloma (MM) who have skeletal-EMD at diagnosis. Seventy-nine newly diagnosed MM patients who have skeletal-EMD were retrospectively enrolled in this study. The 4-year cumulative incidence of skeletal-EMDR was 35.0%±8.3%. The 4-year probability of overall survival (OS) was 54.0%±7.6%. Multivariate analysis showed that skeletal-EMDR (HR = 4.144; 95% CI: 1.608-10.685; P = 0.003) was independently associated with inferior OS for the MM patients who have skeletal-EMD at diagnosis. The factors associated with skeletal-EMDR were MVD (HR = 3.990, 95%CI:1.136-14.018; P = 0.031), white blood cell (WBC) (HR = 0.262, 95% CI:0.090-0.769; P = 0.015), and the EMD sites involved at onset (HR = 0.263, 95% CI: 0.074-0.937; P = 0.039). The MVD in patients with thoracic and lumbar vertebrae as the involved sites at diagnosis was significantly lower than those with other sites involved (41.59 ± 14.39 vs. 60.82 ± 35.14, P=0.001). Our data suggest that increased MVD could be used to predict skeletal-EMDR, which is associated with inferior survival in patients with MM who have skeletal-EMD at diagnosis.

Keywords: Microvessel density; Multiple myeloma; Predicting; Skeletal extramedullary disease relapse.

MeSH terms

  • Adult
  • Aged
  • Bone Neoplasms / pathology
  • Female
  • Humans
  • Incidence
  • Kaplan-Meier Estimate
  • Male
  • Microvessels / pathology*
  • Middle Aged
  • Multiple Myeloma / mortality
  • Multiple Myeloma / pathology*
  • Neoplasm Recurrence, Local / epidemiology
  • Neoplasm Recurrence, Local / pathology*
  • Neovascularization, Pathologic / pathology*
  • Proportional Hazards Models
  • Retrospective Studies