Epithelial Ovarian Cancer Stage Subtype Classification using Clinical and Gene Expression Integrative Approach

摘要

Ovarian Cancer (OC) is the fifth leading cause of death among women worldwide. Epithelial Ovarian Cancer (EOC) was molecularly classified into two sub-classes based on stage-directed supervised classification approach of the International Federation of Gynecology and Obstetrics (FIGO).This paper proposes clinical and gene expression integration approach for classifying stage subtyping cancer using epithelial ovarian stage molecularly sub-classified dataset.The proposed approach was introduced in previous research with the five breast cancer phenotype subtypes and proved its success. The clinical and gene expression integrative approach presented in this paper applied various classification algorithms for stage subtype classification. Experimental results showed that the ensemble learning classification algorithm outperformed classification results obtained by other tested classifiers using either clinical or gene expression solely.