Novel rank-based statistical methods reveal microRNAs with differential expression in multiple cancer types.

ABSTRACT:

Background

MicroRNAs (miRNAs) regulate target genes at the post-transcriptional level and play important roles in cancer pathogenesis and development. Variation amongst individuals is a significant confounding factor in miRNA (or other) expression studies. The true character of biologically or clinically meaningful differential expression can be obscured by inter-patient variation. In this study we aim to identify miRNAs with consistent differential expression in multiple tumor types using a novel data analysis approach.

Methods

Using microarrays we profiled the expression of more than 700 miRNAs in 28 matched tumor/normal samples from 8 different tumor types (breast, colon, liver, lung, lymphoma, ovary, prostate and testis). This set is unique in putting emphasis on minimiz

SUBMITTER: Navon R 

PROVIDER: S-EPMC2777376 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature