Data from A Four-Gene Signature from NCI-60 Cell Line for Survival Prediction in Non–Small Cell Lung Cancer

Abstract

<div>Abstract<p><b>Purpose:</b> Metastasis is the main cause of mortality in non–small cell lung cancer (NSCLC) patients. Genes that can discriminate the invasion ability of cancer cells may become useful candidates for clinical outcome prediction. We identify invasion-associated genes through computational and laboratorial approach that supported this idea in NSCLC.</p><p><b>Experimental Design:</b> We first conducted invasion assay to characterize the invasion abilities of NCI-60 lung cancer cell lines. We then systematically exploited NCI-60 microarray databases to identify invasion-associated genes that showed differential expression between the high and the low invasion cell line groups. Furthermore, using the microarray data of Duke lung cancer cohort (GSE 3141), invasion-associated genes with good survival prediction potentials were obtained. Finally, we validated the findings by conducting quantitative PCR assay on an in-house collected patient group (<i>n</i> = 69) and by using microarray data from two public western cohorts (<i>n</i> = 257 and 186).</p><p><b>Results:</b> The invasion-associated four-gene signature (<i>ANKRD49, LPHN1, RABAC1</i>, and <i>EGLN2</i>) had significant prediction in three validation cohorts (<i>P</i> = 0.0184, 0.002, and 0.017, log-rank test). Moreover, we showed that four-gene signature was an independent prognostic factor (hazard ratio, 2.354, 1.480, and 1.670; <i>P</i> = 0.028, 0.014, and 0.033), independent of other clinical covariates, such as age, gender, and stage.</p><p><b>Conclusion:</b> The invasion-associated four-gene signature derived from NCI-60 lung cancer cell lines had good survival prediction power for NSCLC patients. (Clin Cancer Res 2009;15(23):7309–15)</p></div>