Meta-analysis gene lists about subtypes of leukemia based on gene expression data

摘要

To screen for molecular signatures that are commonly dysregulated in subtypes of a certain cancer, a novel meta-analysis is designed to perform rank score (RS) on lists of genes that are derived from different studies. RS is a promising way to detect signatures across platforms when integrating with one vs. all (OVA) or one vs. one (OVO) schemes of comparison. Among six published microarray expression datasets on acute leukemia, the biological signals hereafter provide stronger clustering support than systematic differences among microarray platforms. Moreover, the pediatric BCR_ ABL specific genes can be used to correctly discriminate independent adult BCR_ ABL cases. The obtained results redound to discover, validate and treat the subtypes from microarray gene expression profiles of cancer, which have been plentifully researched, such as leukemia.