MicroRNA expression differentiates histology and predicts survival of lung cancer.

ABSTRACT:

Purpose

The molecular drivers that determine histology in lung cancer are largely unknown. We investigated whether microRNA (miR) expression profiles can differentiate histologic subtypes and predict survival for non-small cell lung cancer.

Experimental design

We analyzed miR expression in 165 adenocarcinoma and 125 squamous cell carcinoma (SQ) tissue samples from the Environment And Genetics in Lung cancer Etiology (EAGLE) study using a custom oligo array with 440 human mature antisense miRs. We compared miR expression profiles using t tests and F tests and accounted for multiple testing using global permutation tests. We assessed the association of miR expression with tobacco smoking using Spearman correlation coefficients and linear regression models, and with clinical ou

SUBMITTER: Landi MT 

PROVIDER: S-EPMC3163170 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature