Please use this identifier to cite or link to this item:
標題: A Four-Gene Signature from NCI-60 Cell Line for Survival Prediction in Non-Small Cell Lung Cancer
作者: Hsu, Y.C.
Yuan, S.
Chen, H.Y.
Yu, S.L.
Liu, C.H.
Hsu, P.Y.
Wu, G.
Lin, C.H.
Chang, G.C.
Li, K.C.
Yang, P.C.
關鍵字: gene-expression;ankyrin repeat;protein;adenocarcinoma;metastasis;prognosis;profile;family;growth;motif
Project: Clinical Cancer Research
期刊/報告no:: Clinical Cancer Research, Volume 15, Issue 23, Page(s) 7309-7315.
Purpose: 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. Experimental Design: 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 (n = 69) and by using microarray data from two public western cohorts (n = 257 and 186). Results: The invasion-associated four-gene signature (ANKRD49, LPHN1, RABAC1, and EGLN2) had significant prediction in three validation cohorts (P = 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; P = 0.028, 0.014, and 0.033), independent of other clinical covariates, such as age, gender, and stage. Conclusion: 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)
ISSN: 1078-0432
DOI: 10.1158/1078-0432.ccr-09-1572
Appears in Collections:期刊論文

Show full item record

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.