title: Individualized Survival and Treatment Response Predictions in Breast Cancer Patients: Involvements of Phospho-EGFR and Phospho-Her2/neu Proteins.
abstract: Our robust prediction system for individual breast cancer patients combines three well-known machine-learning classifiers to provide stable and accurate clinical outcome prediction (N=269). The average performance of the selected classifiers is used as the evaluation criterion in breast cancer outcome predictions. A profile (incorporating histology, lymph node status, tumor grade, tumor stage, ER, PR, Her2/neu, patient's age and smoking status) generated over 95% accuracy in individualized disease-free survival and treatment response predictions. Furthermore, our analysis demonstrated that the measurement of phospho-EGFR and phospho-Her2/neu is more powerful in breast cancer survival prediction than that of total EGFR and total Her2/neu (p< 0.05). The incorporation of hormone receptor status, Her2/neu, patient's age and smoking status into the traditional pathologic markers creates a powerful standard to perform individualized survival and treatment outcome predictions for breast cancer patients.
authors.affiliation: MBR Cancer Center/Department of Community Medicine, School of Medicine, West Virginia University, Morgantown, WV 26506-9300.
authors.forename: Lan
authors.initials: L
authors.lastname: Guo
authors.affiliation: Department of Medicine and Division of Hematology/Oncology, West Virginia University, WV 26506-9300.
authors.forename: Jame
authors.initials: J
authors.lastname: Abraham
authors.affiliation: MBR Cancer Center/Department of Microbiology, Immunology, and Cell Biology, School of Medicine, West Virginia University, Morgantown, WV 26506-9300.
authors.forename: Daniel C
authors.initials: DC
authors.lastname: Flynn
authors.affiliation: The Pathology and Physiology Research Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, WV 26505.
authors.forename: Vincent
authors.initials: V
authors.lastname: Castranova
authors.affiliation: The Pathology and Physiology Research Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, WV 26505.
authors.forename: Xianglin
authors.initials: X
authors.lastname: Shi
authors.affiliation: The Pathology and Physiology Research Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, WV 26505.
authors.forename: Yong
authors.initials: Y
authors.lastname: Qian
keywords: EGFR; Her2/neu; antibody; breast cancer; molecular pathogenesis; prognosis