Integration of cytogenetic and molecular alterations in risk stratification of 318 patients with de novo non-M3 acute myeloid leukemia View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-01

AUTHORS

H-A Hou, C-C Lin, W-C Chou, C-Y Liu, C-Y Chen, J-L Tang, Y-J Lai, M-H Tseng, C-F Huang, Y-C Chiang, F-Y Lee, Y-Y Kuo, M-C Lee, M-C Liu, C-W Liu, L-I Lin, M Yao, S-Y Huang, B-S Ko, S-C Hsu, S-J Wu, W Tsay, Y-C Chen, H-F Tien

ABSTRACT

Conventionally, acute myeloid leukemia (AML) patients are categorized into good-, intermediate- and poor-risk groups according to cytogenetic changes. However, patients with intermediate-risk cytogenetics represent a largely heterogeneous population regarding treatment response and clinical outcome. In this study, we integrated cytogenetics and molecular mutations in the analysis of 318 patients with de novo non-M3 AML who received standard chemotherapy. According to the mutation status of eight genes, including NPM1, CEBPA, IDH2, RUNX1, WT1, ASXL1, DNMT3A and FLT3, that had prognostic significance, 229 patients with intermediate-risk cytogenetics could be refinedly stratified into three groups with distinct prognosis (P<0.001); patients with good-risk genotypes had a favorable outcome (overall survival, OS, not reached) similar to those with good-risk cytogenetics, whereas those with poor-risk genotypes had an unfavorable prognosis (OS, 10 months) similar to those with poor-risk cytogenetics (OS, 13.5 months), and the remaining patients with other genotypes had an intermediate outcome (OS, 25 months). Integration of cytogenetic and molecular profiling could thus reduce the number of intermediate-risk AML patients from around three-fourth to one-fourth. In conclusion, integration of cytogenetic and molecular changes improves the prognostic stratification of AML patients, especially those with intermediate-risk cytogenetics, and may lead to better decision on therapeutic strategy. More... »

PAGES

50

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/leu.2013.236

    DOI

    http://dx.doi.org/10.1038/leu.2013.236

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1008823069

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23929217


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