Abstract
To identify genes that are differentially over-expressed in Small Cell Lung Carcinoma (SCLC) we have used a combination of suppression subtractive hybridization and cDNA microarray to analyse the expression profiles of 2400 cDNAs clones. Genes that are over-expressed in SCLC were identified using 32 pairs of fluorescence-labeled cDNA samples representing various lung tumors and normal tissues. This comprehensive approach has resulted in the identification of 209 genes that are differentially over-expressed in SCLC. Quantitative real-time PCR was used to further validate the expression of 43 genes in SCLC tumors and various normal tissues. Discussed in this report are nine genes, which showed the most promising SCLC tumor to normal tissue differential expression profiles, including seven known and two novel genes. The large number of differentially expressed genes identified from this analysis and the characterization of these genes will provide valuable information in better understanding the biology of SCLC and help us in developing these gene products as potential targets for diagnostic as well as therapeutic usage.
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Acknowledgements
We thank Dhileep Sivam for coordinating the amplification of cDNA inserts for microarray analysis, Dianne Boyle for preparation of RNA and Dr Jiangchun Xu for coordinating the microarray analysis with Rosetta Inpharmatics. Some tissue samples used in this study were obtained from the National Disease Research Interchange and from the Cooperative Human Tissue Network, which is funded by the National Cancer Institute.
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Bangur, C., Switzer, A., Fan, L. et al. Identification of genes over-expressed in small cell lung carcinoma using suppression subtractive hybridization and cDNA microarray expression analysis. Oncogene 21, 3814–3825 (2002). https://doi.org/10.1038/sj.onc.1205480
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DOI: https://doi.org/10.1038/sj.onc.1205480
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