PML risk stratification using anti-JCV antibody index and L-selectin

Nicholas Schwab1, Tilman Schneider-Hohendorf2, Béatrice Pignolet3

  • 1Department of Neurology, University of Münster, Germany nicholas.schwab@ukmuenster.de heinz.wiendl@ukmuenster.de.

Multiple Sclerosis (Houndmills, Basingstoke, England)
|October 4, 2015
PubMed
Abstract

Insights

New biomarkers, the John Cunningham virus (JCV) index and L-selectin (CD62L), can improve risk stratification for progressive multifocal leukoencephalopathy (PML) in natalizumab-treated patients. Integrating these markers into an algorithm may significantly reduce PML incidence.

Area of Science:

  • Neuroimmunology
  • Biomarker Discovery
  • Clinical Risk Stratification

Background:

  • Natalizumab treatment for multiple sclerosis (MS) is linked to progressive multifocal leukoencephalopathy (PML).
  • Current risk stratification methods (treatment duration, prior immunosuppression, JCV serostatus) have limitations, as PML incidence remains high.
  • The John Cunningham virus (JCV) antibody index and L-selectin (CD62L) are proposed as enhanced risk stratification parameters.

Purpose of the Study:

  • To validate and integrate the JCV index and CD62L into a unified algorithm for PML risk stratification.
  • To assess the predictive value of these biomarkers in natalizumab-treated MS patients.

Main Methods:

  • Analysis of multicentric, international cohorts of natalizumab-treated MS patients.
  • Assessment of JCV index in 1921 control and 9 pre-PML patients.
  • Assessment of CD62L in 1410 control and 17 pre-PML patients.

Main Results:

  • CD62L levels correlate with JCV serostatus and JCV index.
  • Low CD62L was validated as a significant biomarker for PML risk, increasing relative risk 55-fold (p < 0.0001).
  • CD62L demonstrated 86% sensitivity/91% specificity, and JCV index showed 100% sensitivity/59% specificity for predicting PML. A combined approach identified 1.9% of patients at high risk.

Conclusions:

  • Both JCV index and CD62L are valuable for risk stratification and may share a biological link relevant to PML etiology.
  • An integrated risk algorithm using both biomarkers holds potential to substantially decrease PML incidence.
  • Further research into the biological relationship between CD62L, JCV index, and PML pathogenesis is warranted.