External quality assessment for PML-RARα detection in acute promyelocytic leukemia: Findings and summary

Qisheng Wu1,2,3, Rui Zhang1,3, Yu Fu1,2,3

  • 1National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, China.

Abstract

Insights

External quality assessment of PML-RARα detection in China revealed significant variability in laboratory performance. Continuous external assessment and education are crucial for improving acute promyelocytic leukemia diagnosis and monitoring.

Area of Science:

  • Hematology
  • Molecular Diagnostics
  • Quality Assurance

Background:

  • PML-RARα detection is essential for acute promyelocytic leukemia (APL) diagnosis, molecular remission confirmation, and minimal residual disease monitoring.
  • The current status and performance of PML-RARα detection across various laboratories were largely unknown.

Purpose of the Study:

  • To assess the performance of PML-RARα detection in Chinese laboratories through external quality assessment (EQA).
  • To evaluate qualitative and quantitative detection methods, including real-time quantitative reverse transcription PCR (RT-qPCR).

Main Methods:

  • An external quality assessment (EQA) program for PML-RARα detection was conducted in China in 2018.
  • Three EQA sample panels with different PML-RARα isoforms (L/S/V) were prepared using mock leukocyte samples.
  • Laboratory performance was assessed based on admission screening, qualitative, and quantitative RT-qPCR detection against simulated APL clinical cases.

Main Results:

  • Out of 50 participating laboratories, only 26.0% were deemed 'competent,' while 42.0% were 'acceptable' and 32.0% 'improvable.'
  • Significant errors were observed, including one screening mistake, 52.0% reporting false positives/negatives, and 46.0% reporting incorrect quantitative results.
  • PML-RARα isoform V detection showed lower accuracy in both qualitative and quantitative assays, with higher variation in low-level samples.

Conclusions:

  • Laboratory performance in PML-RARα detection varied significantly, indicating a need for improvement.
  • No significant differences in detection performance were observed based on extraction methods used.
  • Continuous external assessment and targeted education are recommended to enhance the management and accuracy of PML-RARα detection in APL.

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