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
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2023
- ISIDORE Id: 10670/1.36a533...
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Instruction and study--Methods Chronic lymphoid leukemia CLL (Disease) Chronic lymphatic leukemia Instruction and study--Methods Methods of analysis Analysis and chemistry Analytical methods Chemical analysis Analysis methods Analysis and examination illnessCiter ce document
Victor Brett et al., « 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 », Annales de Biologie Clinique, ID : 10670/1.36a533...
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Introduction: Measurable residual disease (MRD) is becoming increasingly important in the context of chronic lymphocytic leukemia (CLL). 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. Here we present a nine-color assay for CLL MRD with the ROR-1 marker antigen as recommended by the European Research Initiative (ERIC) on CLL. 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.
