The Analytical Performance and Inter-laboratory Standardization of Next-Generation Sequencing (NGS) Panels for Genetic Risk Stratification in Acute Myeloid Leukemia: A Systematic Review and Meta-Analysis
Ayman Alqurain, Leen F Mashat, Najwa M Alshammari, Hashim A AL-Sumaily, Alqasem M Alamer, Reem S Aldhmadi, Muzun D Albalawi, Nada S Alghamdi, Ali S Metwaly

TL;DR
This study reviews how well NGS panels work for AML risk assessment and finds they are accurate but need better standardization across labs.
Contribution
The study provides a meta-analysis of NGS panel performance and identifies LOD as a key factor in variability.
Findings
NGS panels showed 96.4% concordance with traditional methods for AML risk stratification.
High diagnostic accuracy was observed with an HSROC AUC of 0.98.
Inter-laboratory heterogeneity was significant, driven by differences in assay sensitivity.
Abstract
Genetic risk stratification is fundamental to the clinical management of acute myeloid leukemia (AML). While targeted next-generation sequencing (NGS) panels have replaced traditional single-gene assays, significant inter-laboratory variability in assay design and bioinformatic pipelines persists. This systematic review and meta-analysis evaluates the analytical performance and standardization of NGS panels used for AML risk stratification. Major databases were searched for studies reporting the analytical validation or inter-laboratory harmonization of NGS panels for AML compared to orthogonal reference standards (PCR/capillary electrophoresis). The primary outcomes were analytical concordance (overall percent agreement) and diagnostic accuracy. Risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). A random-effects meta-analysis was conducted…
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Taxonomy
TopicsAcute Myeloid Leukemia Research · Genomics and Rare Diseases · Cancer Genomics and Diagnostics
