Principal component analysis yields results comparable to those of an elaborate Boolean strategy: simplifying the assessment of measurable residual disease in chronic lymphocytic leukemia patients

Ann Biol Clin (Paris). 2023 Oct 20;81(4):379-387. doi: 10.1684/abc.2023.1826.

Abstract

Introduction: Measurable residual disease (MRD) is becoming increasingly important in the chronic lymphocytic leukemia (CLL) context. It is of independent prognostic significance in terms of favorable progression-free and overall survival. The standardized methods used to assess CLL MRD are based on flow cytometry and real-time quantitative PCR. We here present a nine-color assay for CLL MRD with the ROR-1 marker antigen as recommended by the European Research Initiative (ERIC) on CLL; the sensitivity is at least 10-5.

Materials and methods: We used 54 samples to develop a new principal component analysis (PCA) method based on the Kaluza© "radar" presentation mode. We used a Navios flow cytometer (Beckman Coulter©).

Results: We confirmed the linearity of our method over more than five dilutions. The specificity limit was 1.3×10-6 and the lower limit of detection was 3.6×10-6. Compared to the Boolean method, the sensitivity, specificity, and positive and negative predictive values of our PCA method were 100%. When MRD was detectable, PCA and Boolean assays were in agreement (linear regression, R2 = 0.99).

Conclusion: We developed a new PCA-based method for detection of CLL MRD. Our method is comparable to that of the consensus method in terms of sensitivity, and it is also much easier and faster.

Keywords: chronic lymphocytic leukemia; flow cytometry; measurable residual disease; principal component analysis.

MeSH terms

  • Flow Cytometry / methods
  • Humans
  • Leukemia, Lymphocytic, Chronic, B-Cell* / diagnosis
  • Neoplasm, Residual / diagnosis
  • Principal Component Analysis
  • Real-Time Polymerase Chain Reaction