TY - GEN
T1 - Biomarker identification for early tumor detection aided by bioinformatics gene expression analysis
AU - Yang, Wanling
AU - Huang, Peng
AU - Zhao, Minghui
AU - Lau, Yu Lung
PY - 2008/9/17
Y1 - 2008/9/17
N2 - Early detection of cancer is key to prompt treatment and patient's long term survival. Designing noninvasive and simple methodologies that can be used in large scale screening for early tumor detection is an important research area that could have profound impact on cancer prevention and treatment. Taking advantage of available gene expression databases, we have performed extensive analysis on differentially expressed (DE) genes and alternatively spliced (AS) forms of genes in cancer tissues. In this study we detected genes that are potentially up-regulated in tumor tissues comparing to normal tissues. We also aligned the 8 million human EST sequences in dbEST with human genomic sequences, and found several hundreds AS variants that have a potential to be specific to or overexpressed in tumor tissues comparing to normal tissues. Our results showed the possibility of using gene expression databases to detect potential "cancer genes", and to use those DS genes and AS variants of genes as markers for early cancer detection.
AB - Early detection of cancer is key to prompt treatment and patient's long term survival. Designing noninvasive and simple methodologies that can be used in large scale screening for early tumor detection is an important research area that could have profound impact on cancer prevention and treatment. Taking advantage of available gene expression databases, we have performed extensive analysis on differentially expressed (DE) genes and alternatively spliced (AS) forms of genes in cancer tissues. In this study we detected genes that are potentially up-regulated in tumor tissues comparing to normal tissues. We also aligned the 8 million human EST sequences in dbEST with human genomic sequences, and found several hundreds AS variants that have a potential to be specific to or overexpressed in tumor tissues comparing to normal tissues. Our results showed the possibility of using gene expression databases to detect potential "cancer genes", and to use those DS genes and AS variants of genes as markers for early cancer detection.
UR - http://www.scopus.com/inward/record.url?scp=51549107748&partnerID=8YFLogxK
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U2 - 10.1109/BMEI.2008.230
DO - 10.1109/BMEI.2008.230
M3 - Conference contribution
AN - SCOPUS:51549107748
SN - 9780769531182
T3 - BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
SP - 469
EP - 473
BT - BioMedical Engineering and Informatics
T2 - BioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Y2 - 27 May 2008 through 30 May 2008
ER -