DocumentCode
2767851
Title
Identifying smoking associated gene co-expression networks related to oral cancer initiation
Author
Zhang, Jie ; Knobloch, Thomas ; Parvin, Jeffrey ; Weghorst, Christopher ; Huang, Kun
Author_Institution
OSUCCC Biomed. Inf. Shared Resource, Columbus, OH, USA
fYear
2011
fDate
12-15 Nov. 2011
Firstpage
1039
Lastpage
1041
Abstract
We present a workflow to identify smoking specific gene co-expression networks and then screen them for specific networks with relationship to oral cancer initiation and development. Interestingly, we found the network with highest activity (based on mutual information metric) is a network uniquely identified from the smoking cohort in pre-cancerous stage, which is consistent with the role of smoking in oral cancer initiation. In addition, this network is highly enriched with oral and esophagus tissue specific genes. The discovery suggests that putative smoking associated genes can also be potential targets for cancer therapeutics.
Keywords
bioinformatics; biological techniques; cancer; data mining; genetics; molecular biophysics; cancer therapeutics; esophagus tissue specific genes; mutual information metric; oral cancer development; oral cancer initiation; oral tissue specific genes; smoking associated gene coexpression networks; Algorithm design and analysis; Esophagus; Gene expression; Metastasis; Mouth; Mutual information;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4577-1612-6
Type
conf
DOI
10.1109/BIBMW.2011.6112553
Filename
6112553
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