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Clinical validity of the lung cancer biomarkers identified by bioinformatics analysis of public expression data

Title
Clinical validity of the lung cancer biomarkers identified by bioinformatics analysis of public expression data
Authors
Kim B.Hyun J.L.Hye Y.C.Shin Y.Nam S.Seo G.Son D.-S.Jo J.Kim J.Lee J.Kim K.Lee S.
Ewha Authors
이상혁김재상
SCOPUS Author ID
이상혁scopus; 김재상scopus
Issue Date
2007
Journal Title
Cancer Research
ISSN
0008-5472JCR Link
Citation
vol. 67, no. 15, pp. 7431 - 7438
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
Identification of molecular markers often leads to important clinical applications such as early diagnosis, prognosis, and drug targeting. Lung cancer, the leading cause of cancer-related deaths, still lacks reliable molecular markers. We have combined the bioinformatics analysis of the public gene expression data and clinical validation to identify biomarker genes for non-small-cell lung cancer. The serial analysis of gene expression and the expressed sequence tag data were meta-analyzed to produce a list of the differentially expressed genes in lung cancer. Through careful inspection of the predicted genes, we selected 20 genes for experimental validation using semiquantitative reverse transcriptase-PCR. The micro-dissected clinical specimens used in the study consisted of three groups: lung tissues from benign diseases and the paired (cancer and pathologic normal) tissues from non-small-cell lung cancer patients. After extensive statistical analyses, seven genes (CBLC, CYP24A1, ALDH3A1, AKR1B10, S100P, PLUNC, and LOC147166) were identified as potential diagnostic markers. Quantitative real-time PCR was carried out to additionally assess the value of the seven identified genes leading to the confirmation of at least two genes (CBLC and CYP24A1) as highly probable novel biomarkers. The gene properties of the identified markers, especially their relationship to lung cancer and cell signaling pathway regulation, further suggest their potential value as drug targets as well. ©2007 American Association for Cancer Research.
DOI
10.1158/0008-5472.CAN-07-0003
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자연과학대학 > 생명과학전공 > Journal papers
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