Comparison of the Prediction Accuracy of Lung Cancer Survival Using Our 64-Gene Signature and a Different 50-Gene Signature

<div><p>(A and B) Kaplan-Meier survival curves for dataset 6 under our 64-gene signature (A) and the 50-gene signature from Beer et al. [<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0030467#pmed-0030467-b005" target="_blank">5</a>] (B). Scores were estimated using two principle components.</p> <p>(C and D) Kaplan-Meier survival curves for dataset 7 using our 64-gene signature (C) and the 50-gene signature from Beer et al. [<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0030467#pmed-0030467-b005" target="_blank">5</a>] (D). Scores were estimated using eight principle components.</p></div

Gene Expression Patterns of 64 Top Survival Genes for 197 NSCLC Patients from Datasets 1 to 5

<p>Patients were generally classified into two groups (short-term versus long-term survival) with distinct expression patterns. The first column on the left represents patient status: 0, alive; 1, dead; the second column on the left represents follow-up time (days).</p

Validation Analyses of Gene Expression Profiling

<div><p>(A) QRT-PCR validations of several candidate survival-related genes. Bars represent fold changes for the selected genes with differential expression between long- (>5 y) and short-term survival (<2 y) patients. Positive fold change represents up-regulated, and negative fold change represents down-regulated in short-term survival patients. * <i>p</i> ≤ 0.05; ** <i>p</i> ≤ 0.01; *** <i>p</i> ≤ 0.005.</p> <p>(B and C) Immunostaining analysis of CRABP1 and ABCC1 expression in long- and short- term survival lung cancer patients. Low magnification (B) and 40× (C). Positive CRABP1 immunoreactivity was observed in cytoplasm of an acinar ADC (lower left photomicrographs of B and C) from short-term survival patients, and no CRABP1 reactivity was seen in a lung ADC from a long-term survival patient (upper left). Strong ABCC1 membranous staining (lower right) in tumor cells from short-term survival patients was observed, and weak ABCC1 reactivity was seen in a lung ADC from a long-term survival patient (upper right).</p> <p>(D) Distribution of CRABP1 and ABCC1 protein levels in short- and long-term survival patients.</p></div

Survival Analyses of Stage I NSCLC

<div><p>(A) Kaplan-Meier survival curves for patients with stage IA and with IB NSCLC.</p> <p>(B) Kaplan-Meier survival curves for stage IA and IB patients defined by having positive (high-risk) or negative (low-risk) risk scores of overall survival. The risk scores were estimated with seven principle components based on the model built by 64 survival-related genes identified in five datasets.</p> <p>(C) Area under the ROC curve for survival models based on stage information or expression data, respectively.</p></div