DocumentCode :
2039713
Title :
Identification of functional genomic regions with copy number alteration in liver cancer
Author :
Tzu-Hung Hsiao ; Chen, He Henry ; Yidong Chen
Author_Institution :
Greehey Children´s Cancer Res. Inst., Univ. of Texas Health Sci. Center at San Antonio, San Antonio, TX, USA
fYear :
2012
fDate :
2-4 Dec. 2012
Firstpage :
155
Lastpage :
158
Abstract :
Copy number alterations (CNAs) happen frequently in solid tumors. Several oncogenes and tumor suppressor genes have been identified with CNAs. However, the systematic survey of CNA regulated functions is still lack. By employing systems biology approaches, instead of examining individual genes, we directly identified the spatial functional hotspots in human genome. Total 249 genomic regions, or segments, with 410 enriched biological functions were identified. An aCGH data set of hepatocellular carcinoma (HCC) tumors was employed in this study and several putative affected functions of CNAs were identified. Our results indicate that 4 immune related segments were lost in most of patients. In addition, our data implied these immune related segments might be involved in HCC oncogenesis. The result further demonstrated that our method enables researchers to survey biological functions of CNAs and to construct regulation hypothesis at pathway and functional levels.
Keywords :
biology computing; cancer; genetics; genomics; liver; molecular biophysics; tumours; CNA regulated functions; biological functions; copy number alteration; functional genomic regions; hepatocellular carcinoma tumors; human genome; immune related segments; liver cancer; oncogenes; regulation hypothesis; solid tumors; systems biology approach; tumor suppressor genes; Keyswords: Copy number alteration; gene set enrichment; liver cancer; pathway analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genomic Signal Processing and Statistics, (GENSIPS), 2012 IEEE International Workshop on
Conference_Location :
Washington, DC
ISSN :
2150-3001
Print_ISBN :
978-1-4673-5234-5
Type :
conf
DOI :
10.1109/GENSIPS.2012.6507752
Filename :
6507752
Link To Document :
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