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// Nikhil Patkar 1, * , Rohan Kodgule 1, 5, * , Chinmayee Kakirde 1 , Goutham Raval 1 , Prasanna Bhanshe 1 , Swapnali Joshi 1 , Shruti Chaudhary 1 , Y. Badrinath 1 , Sitaram Ghoghale 1 , Shraddha Kadechkar 1 , Syed Hasan Khizer 2 , Sadhana Kannan 3 , Dhanalaxmi Shetty 4 , Anant Gokarn 2 , Sachin Punatkar 2 , Hasmukh Jain 2 , Bhausaheb Bagal 2 , Hari Menon 6 , Manju Sengar 2 , Navin Khattry 2 , Prashant Tembhare 1 , Papagudi Subramanian 1 and Sumeet Gujral 1 1 Haematopathology Laboratory, ACTREC, Tata Memorial Centre, Navi Mumbai, India 2 Adult Haematolymphoid Disease Management Group, Tata Memorial Centre, Mumbai, India 3 Biostatistics, ACTREC, Tata Memorial Centre, Navi Mumbai, India 4 Dept of Cytogenetics, ACTREC, Tata Memorial Centre, Navi Mumbai, India 5 Homi Bhabha National Institute, Training School Complex, Mumbai, India 6 Haemato-Oncology, CyteCare Cancer Hospital, Bangalore, India * These authors contributed equally to this work Correspondence to: Nikhil Patkar, email: nvpatkar@gmail.com Keywords: acute myeloid leukemia; NPM1; measurable residual disease; next-generation sequencing; multiparameter flow cytometry Received: April 16, 2018 Accepted: November 16, 2018 Published: November 27, 2018 ABSTRACT Detection of measurable residual disease (MRD) by mutation specific techniques has prognostic relevance in NPM1 mutated AML ( NPM1 mut AML). However, the clinical utility of next generation sequencing (NGS) to detect MRD in AML remains unproven. We analysed the clinical significance of monitoring MRD using ultradeep NGS (NGS-MRD) and flow cytometry (FCM-MRD) in 137 samples obtained from 83 patients of NPM1 mut AML at the end of induction (PI) and consolidation (PC). We could monitor 12 different types of NPM1 mutations at a sensitivity of 0.001% using NGS-MRD. We demonstrated a significant correlation between NGS-MRD and real time quantitative PCR (RQ-PCR). Based upon a one log reduction between PI and PC time points we could classify patients as NGS-MRD positive ( 1log reduction). NGS-MRD, FCM-MRD as well as DNMT3A mutations were predictive of inferior overall survival (OS) and relapse free survival (RFS). On a multivariate analysis NGS-MRD emerged as an independent, most important prognostic factor predictive of inferior OS (hazard ratio, 3.64; 95% confidence interval [CI] 1.58 to 8.37) and RFS (hazard ratio, 4.8; 95% CI:2.24 to 10.28). We establish that DNA based NPM1 NGS MRD is a highly useful test for prediction of relapse and survival in NPM1 mut AML.

Detection of measurable residual disease (MRD) by mutation specific techniques has prognostic relevance in NPM1 mutated AML (NPM1mut AML). However, the clinical utility of next generation sequencing (NGS) to detect MRD in AML remains unproven. We analysed the clinical significance of monitoring MRD using ultradeep NGS (NGS-MRD) and flow cytometry (FCM-MRD) in 137 samples obtained from 83 patients of NPM1mut AML at the end of induction (PI) and consolidation (PC). We could monitor 12 different types of NPM1 mutations at a sensitivity of 0.001% using NGS-MRD. We demonstrated a significant correlation between NGS-MRD and real time quantitative PCR (RQ-PCR). Based upon a one log reduction between PI and PC time points we could classify patients as NGS-MRD positive (1log reduction). NGS-MRD, FCM-MRD as well as DNMT3A mutations were predictive of inferior overall survival (OS) and relapse free survival (RFS). On a multivariate analysis NGS-MRD emerged as an independent, most important prognostic factor predictive of inferior OS (hazard ratio, 3.64; 95% confidence interval [CI] 1.58 to 8.37) and RFS (hazard ratio, 4.8; 95% CI:2.24 to 10.28). We establish that DNA based NPM1 NGS MRD is a highly useful test for prediction of relapse and survival in NPM1mut AML.