Integration of clinical information and gene expression profiles for prediction of chemo-response for ovarian cancer

Lihua Li, Li Chen, D. Goldgof, F. George, Z. Chen, A. Rao, J. Cragun, R. Sutphen, Johnathan M. Lancaster

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

Abstract

Ovarian cancer is the fifth leading cause of cancer death among women in the United States and western Europe. Platinum drugs are the most active agents in epithelial ovarian cancer therapy. In order to improve the prediction of response to platinum-based chemotherapy for advanced-stage ovarian cancers, we describe an integrated model which combines clinical information tumor and treatment information, with gene expression profile. This integrated modeling framework is based on the support vector machine classifier that evaluates the contributions of both clinical and gene expression data. The results show that the integrated model combining clinical information and gene expression profiles improve the prediction accuracy compared to those made by using gene expression predictor alone.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages4818-4821
Number of pages4
Volume7 VOLS
StatePublished - 2005
Externally publishedYes
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

Fingerprint

Gene expression
Platinum
Chemotherapy
Support vector machines
Tumors
Classifiers
Pharmaceutical Preparations

ASJC Scopus subject areas

  • Bioengineering

Cite this

Li, L., Chen, L., Goldgof, D., George, F., Chen, Z., Rao, A., ... Lancaster, J. M. (2005). Integration of clinical information and gene expression profiles for prediction of chemo-response for ovarian cancer. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 7 VOLS, pp. 4818-4821). [1615550]

Integration of clinical information and gene expression profiles for prediction of chemo-response for ovarian cancer. / Li, Lihua; Chen, Li; Goldgof, D.; George, F.; Chen, Z.; Rao, A.; Cragun, J.; Sutphen, R.; Lancaster, Johnathan M.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 7 VOLS 2005. p. 4818-4821 1615550.

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

Li, L, Chen, L, Goldgof, D, George, F, Chen, Z, Rao, A, Cragun, J, Sutphen, R & Lancaster, JM 2005, Integration of clinical information and gene expression profiles for prediction of chemo-response for ovarian cancer. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 7 VOLS, 1615550, pp. 4818-4821, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 9/1/05.
Li L, Chen L, Goldgof D, George F, Chen Z, Rao A et al. Integration of clinical information and gene expression profiles for prediction of chemo-response for ovarian cancer. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 7 VOLS. 2005. p. 4818-4821. 1615550
Li, Lihua ; Chen, Li ; Goldgof, D. ; George, F. ; Chen, Z. ; Rao, A. ; Cragun, J. ; Sutphen, R. ; Lancaster, Johnathan M. / Integration of clinical information and gene expression profiles for prediction of chemo-response for ovarian cancer. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 7 VOLS 2005. pp. 4818-4821
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