Identifying smoking associated gene co-expression networks related to oral cancer initiation

Jie Zhang, Thomas Knobloch, Jeffrey Parvin, Christopher Weghorst, Kun Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Pages1039-1041
Number of pages3
DOIs
StatePublished - Dec 1 2011
Externally publishedYes
Event2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States
Duration: Nov 12 2011Nov 15 2011

Publication series

Name2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Other

Other2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
CountryUnited States
CityAtlanta, GA
Period11/12/1111/15/11

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Fingerprint Dive into the research topics of 'Identifying smoking associated gene co-expression networks related to oral cancer initiation'. Together they form a unique fingerprint.

Cite this