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Possibility of the use of public microarray database for identifying significant genes associated with oral squamous cell carcinoma.

Authors
 Ki-Yeol Kim  ;  In-Ho Cha 
Citation
 Genomics & Informatics, Vol.10(1) : 23-32, 2012 
Journal Title
 Genomics & Informatics 
ISSN
 1598-866X 
Issue Date
2012
Abstract
There are lots of studies attempting to identify the expression changes in oral squamous cell carcinoma. Most studies include insufficient samples to apply statistical methods for detecting significant gene sets. This study combined two small microarray datasets from a public database and identified significant genes associated with the progress of oral squamous cell carcinoma. There were different expression scales between the two datasets, even though these datasets were generated under the same platforms - Affymetrix U133A gene chips. We discretized gene expressions of the two datasets by adjusting the differences between the datasets for detecting the more reliable information. From the combination of the two datasets, we detected 51 significant genes that were upregulated in oral squamous cell carcinoma. Most of them were published in previous studies as cancer-related genes. From these selected genes, significant genetic pathways associated with expression changes were identified. By combining several datasets from the public database, sufficient samples can be obtained for detecting reliable information. Most of the selected genes were known as cancer-related genes, including oral squamous cell carcinoma. Several unknown genes can be biologically evaluated in further studies.
Files in This Item:
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DOI
10.5808/GI.2012.10.1.23
Appears in Collections:
1. Journal Papers (연구논문) > 5. Research Institutes (연구소) > Oral Cancer Research Institute (구강종양연구소)
1. Journal Papers (연구논문) > 2. College of Dentistry (치과대학) > Dept. of Oral and Maxillofacial Surgery (구강악안면외과학교실)
Yonsei Authors
김기열(Kim, Ki Yeol) ORCID logo https://orcid.org/0000-0001-5357-1067
차인호(Cha, In Ho) ORCID logo https://orcid.org/0000-0001-8259-2190
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/90312
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