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Gene Expression Profile and Its Interpretation in Squamous Cell Lung Cancer

Park, Dong-Yoon (Digital Genomics, Inc.)
Kim, Jung-Min (Digital Genomics, Inc.)
Kim, Ja-Eun (Digital Genomics, Inc.)
Yoo, Chang-Hyuk (Digital Genomics, Inc.)
Lee, Han-Yong (Digital Genomics, Inc.)
Song, Ji-Young (Digital Genomics, Inc.)
Hwang, Sang-Joon (Digital Genomics, Inc.)
Yoo, Jae-Cheal (Digital Genomics, Inc.)
Kim, Sung-Han (Digital Genomics, Inc.)
Park, Jong-Ho (Dept. of thoracic surgery, Korea Cancer Center Hospital)
Yoon, Jeong-Ho (Digital Genomics, Inc.)

Publication Information

Molecular & Cellular Toxicology / v.2, no.4, 2006 , pp. 273-278 More about this Journal

Abstract

95 squamous cell lung carcinoma samples (normal tissue: 40 samples, tumor: 55 samples) were analyzed with 8 K cDNA microarray. 1-way ANOVA test was employed to select differentially expressed genes in tumor with FDR<0.01. Among the selected 1,655 genes, final 212 genes were chosen according to the expression fold change and used for following analysis. The expression of up-regulated 64 genes was verified with Reverse Transcription PCR and 10 genes were identified as candidates for SCC markers. In our opinion, those candidates can be exploited as diagnostic or therapeutic purposes. Gene Ontology (GO) based analysis was performed using those 212 genes, and following categories were revealed as significant biological processes: Immune response (GO: 0006955), antigen processing (GO: 0030333), inflammatory response (GO: 0006954), Cell adhesion (GO: 0007155), and Epidermis differentiation (GO: 0008544). Gene set enrichment analysis (GSEA) also carried out on overall gene expression profile with 522 functional gene sets. Glycolysis, cell cycle, K-ras and amino acid biosynthesis related gene sets were most distinguished. These results are consistent with the known characteristics of SCC and may be interconnected to rapid cell proliferation. However, the unexpected results from ERK activation in squamous cell carcinoma gripped our attention, and further studies are under progress.

Keywords

Microarray; Lung cancer; Expression profile;

Citations & Related Records

Times Cited By Web Of Science : 1 (Related Records In Web of Science)

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