文章基本信息

标题：Models of granulocyte DNA structure are highly predictive of myelodysplastic syndrome
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作者：Donald C. Malins ; Katie M. Anderson ; Nayak L. Polissar 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2004
卷号：101
期号：14
页码：5008-5011
DOI：10.1073/pnas.0400838101
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：We have used statistical models based on Fourier transform-infrared spectra to differentiate between the DNA structure of normal granulocytes and those obtained from patients with myelodysplastic syndrome (MDS). The substantial degree of discrimination achieved between the two DNA groups is attributed to differences in the nucleotide base and backbone structures. These structural differences allowed for the development of a discriminant analysis model that predicted, with high sensitivity and specificity, which DNA came from normal granulocytes vs. granulocytes from MDS patients. The findings are a promising basis for developing a blood test to diagnose and predict the occurrence of MDS, for which there is currently a paucity of molecular markers.
关键词：clonal blood disease ; blood test ; disease diagnosis ; prediction ; Fourier transform-infrared spectroscopy