Area of research
Bioengineering · Computer Networks and Communications
Research interest
Research topics from publications: Retrospective Analysis of Minimal Residual Disease Testing By High Throughput Immunosequencing Versus High Sensitivity Flow Cytometry in Multiple Myeloma; Retrospective Analysis of Minimal Residual Disease Testing By High Throughput Immunosequencing Versus High Sensitivity Flow Cytometry and qPCR in B-Lymphoblastic Leukemia. Representative work: Abstract Introduction: Detection of minimal residual disease (MRD) is one of the strongest predictors of outcome in multiple myeloma (MM). Until recently, the most commonly available method to detect MRD in clinical practice has been high sensitivity flow cytometry (FC) which can detect MRD with at 10 -5 sensitivity. In recent years, next-generation sequencing (NGS) has become a viable method to assess the MRD in MM patients with a 10 -6 sensitivity. NGS appears to have some advantages over HC-FC by circumventing subjectivity of analysis. However, real-world comparison between these two methodologies in the literature is limited and is important to inform daily hematopathology and oncology o Abstract Introduction: Detection of minimal residual disease (MRD) is one of the most powerful predictors of prognosis in patients with B-Lymphoblastic Leukemia (ALL). Standard methods to detect MRD in ALL include high-resolution flow cytometry (FC) (sensitivity 10 -4 to 10 -5) and qPCR for Ph+ ALL (sensitivity 10 -5 to -6). More recently, high-throughput sequencing (NGS) has been leveraged to detect MRD (sensitivity 10 -6). Retrospective, non-clinical trial based real-world data comparing between these methodologies in the literature is limited to absent. We report our experience at a high-volume cancer center comparing NGS, qPCR, and FC. Methods: All cases of ALL with NGS MRD data at the M