An advanced fragment analysis-based individualized subtype classification of pediatric acute lymphoblastic leukemia.

ABSTRACT: Pediatric acute lymphoblastic leukemia (ALL) is the most common neoplasm and one of the primary causes of death in children. Its treatment is highly dependent on the correct classification of subtype. Previously, we developed a microarray-based subtype classifier based on the relative expression levels of 62 marker genes, which can predict 7 different ALL subtypes with an accuracy as high as 97% in completely independent samples. Because the classifier is based on gene expression rank values rather than actual values, the classifier enables an individualized diagnosis, without the need to reference the background distribution of the marker genes in a large number of other samples, and also enables cross platform application. Here, we demonstrate that the classifier can be extended from a m

SUBMITTER: Zhang H 

PROVIDER: S-EPMC4508914 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature