A novel five gene signature derived from stem-like side population cells predicts overall and recurrence-free survival in NSCLC.

ABSTRACT: Gene expression profiling has been used to characterize prognosis in various cancers. Earlier studies had shown that side population cells isolated from Non-Small Cell Lung Cancer (NSCLC) cell lines exhibit cancer stem cell properties. In this study we apply a systems biology approach to gene expression profiling data from cancer stem like cells isolated from lung cancer cell lines to identify novel gene signatures that could predict prognosis. Microarray data from side population (SP) and main population (MP) cells isolated from 4 NSCLC lines (A549, H1650, H460, H1975) were used to examine gene expression profiles associated with stem like properties. Differentially expressed genes that were over or under-expressed at least two fold commonly in all 4 cell lines were identified. We found 3

SUBMITTER: Perumal D 

PROVIDER: S-EPMC3430700 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature