Dataset Information

Clinical impact of measurable residual disease monitoring by ultradeep next generation sequencing in NPM1 mutated acute myeloid leukemia.

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) or negative (>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.

SUBMITTER: Patkar N

PROVIDER: S-EPMC6290958 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Clinical impact of measurable residual disease monitoring by ultradeep next generation sequencing in NPM1 mutated acute myeloid leukemia.

Patkar Nikhil N Kodgule Rohan R Kakirde Chinmayee C Raval Goutham G Bhanshe Prasanna P Joshi Swapnali S Chaudhary Shruti S Badrinath Y Y Ghoghale Sitaram S Kadechkar Shraddha S Khizer Syed Hasan SH Kannan Sadhana S Shetty Dhanalaxmi D Gokarn Anant A Punatkar Sachin S Jain Hasmukh H Bagal Bhausaheb B Menon Hari H Sengar Manju M Khattry Navin N Tembhare Prashant P Subramanian Papagudi P Gujral Sumeet S

Oncotarget 20181127 93

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 consoli ...[more]

PMID: 30564301

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Project description:The purpose of this study was to analyze the association between next-generation sequencing (NGS) genotypic profiles and conventional clinicopathologic characteristics in patients with acute myeloid leukemia (AML) with NPM1 mutation (NPM1mut). We selected 238 NPM1mut patients with available NGS information on 112 genes related to blood diseases using the χ2 and Mann-Whitney U tests and a multivariable logistic model to analyze the correlation between genomic alterations and clinicopathologic parameters. Compared with the NPM1mut/FLT3-ITD(-) group, the NPM1mut/FLT3-ITD(+) group presented borderline frequent M5 morphology [78/143 (54.5%) vs. 64/95 (67.4%); P = 0.048], higher CD34- and CD7-positive rates (CD34: 20.6% vs. 47.9%, P < 0.001; CD7: 29.9% vs. 61.5%, P < 0.001) and a lack of favorable-/adverse-risk karyotypes (6.4% vs. 0%; P = 0.031). In the entire NPM1mut cohort, 240 NPM1 mutants were identified, of which 10 (10/240, 4.2%) were missense types. When confining the analysis to the 205 cases with NPM1mut insertions/deletions-type and normal karyotype, multivariable logistic analysis showed that FLT3-ITD was positively correlated with CD34 and CD7 expressions (OR = 5.29 [95% CI 2.64-10.60], P < 0.001; OR = 3.47 [95% CI 1.79-6.73], P < 0.001, respectively). Ras-pathway mutations were positively correlated with HLA-DR expression (OR = 4.05 [95% CI 1.70-9.63], P = 0.002), and KRAS mutations were negatively correlated with MPO expression (OR = 0.18 [95% CI 0.05-0.62], P = 0.007). DNMT3A-R882 was positively correlated with CD7 and HLA-DR expressions (OR = 3.59 [95% CI 1.80-7.16], P < 0.001; OR = 13.41 [95% CI 4.56-39.45], P < 0.001, respectively). DNMT3A mutation was negatively correlated with MPO expression (OR = 0.35 [95% CI 1.48-8.38], P = 0.004). TET2/IDH1 mutations were negatively correlated with CD34 and CD7 expressions (OR = 0.26 [95% CI 0.11-0.62], P = 0.002; OR = 0.30 [95% CI 0.14-0.62], P = 0.001, respectively) and positively correlated with MPO expression (OR = 3.52 [95% CI 1.48-8.38], P = 0.004). In conclusion, NPM1mut coexisting mutations in signaling pathways (FLT3-ITD and Ras-signaling pathways) and methylation modifiers (DNMT3A and TET2/IDH1) are linked with the expressions of CD34, CD7, HLA-DR and MPO, thereby providing a mechanistic explanation for the immunophenotypic heterogeneity of this AML entity.

Dataset Information

Clinical impact of measurable residual disease monitoring by ultradeep next generation sequencing in NPM1 mutated acute myeloid leukemia.

Publications

Clinical impact of measurable residual disease monitoring by ultradeep next generation sequencing in <i>NPM1</i> mutated acute myeloid leukemia.

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OmicsDI is part of the ELIXIR infrastructure

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Dataset Information

Clinical impact of measurable residual disease monitoring by ultradeep next generation sequencing in NPM1 mutated acute myeloid leukemia.

Publications

Clinical impact of measurable residual disease monitoring by ultradeep next generation sequencing in &lt;i&gt;NPM1&lt;/i&gt; mutated acute myeloid leukemia.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Clinical impact of measurable residual disease monitoring by ultradeep next generation sequencing in <i>NPM1</i> mutated acute myeloid leukemia.