Supplementary Methods, Figures 1 - 7, and Tables 1 - 6 from Radiation-Enhanced Lung Cancer Progression in a Transgenic Mouse Model of Lung Cancer Is Predictive of Outcomes in Human Lung and Breast Cancer

PDF file - 1617KB, Figure S1. Malignant Characteristics of Invasive Adenocarcinoma in K-rasLA1 Mice; Figure S2. Radiation Effects on the Incidence of Various Endpoints in K-rasLA1 Mice; Figure S3. Comparative Genomic Analyses and Classifier Isolation from Irradiated Versus Unirradiated Control K-rasLA1 Mice; Figure S4. Comparative Genomic Analysis of Whole Lungs Reveals Unique Gene Classifiers Capable of Specifying Individual Experimental Cohorts; Figure S5. Only "Fractionated" Classifier Demonstrates Clinical Relevance for Lung Cancer Patient Survival; Figure S6. "Fractionated" Classifier Capable of Predicting Overall Survival in Patients with Breast, but not Lung Squamous Cell Cancer; Supplementary Figure S7. Cox Regression Analysis Exposes 6 Genes Within "Fractionated" Classifier Which Retain Predictive Capacity; Table S1. Logistic Regression Analysis of Unirradiated K-rasLA1 Mice for Gender and Strain Effects on Various Endpoints; Table S2. Logistic Regression Analysis for Gender and Strain Effects on Various Endpoints Controlling for Experiment; Table S3. Logistic Regression Analysis of Radiation Effects on the Incidence of Invasive Adenocarcinoma Controlling for Gender and Strain; Table S4. Multivariate Cox Analysis for Gender and Strain Effects on Overall Survival Controlling for Experiment; Table S5. Multivariate Cox Analysis of Radiation Effects on Overall Survival Controlling for Gender and Strain Effects; Table S6. IPA Network Annotations Associated with Corresponding Gene Lists.