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. 2010 Dec 14;7(12):e1000378. doi: 10.1371/journal.pmed.1000378

Figure 4. Identification of single NR gene biomarkers for lung cancer prognosis.

Figure 4

(A and B) Kaplan-Meier survival plots using PR in the single gene prediction model. The MDACC cohort was tested using LOOCV (A), or it was used as a training set and independently tested in the multi-site Consortium cohort (B). For this analysis mRNA expression values for SHP were removed from the dataset in order to test the effect of other NR genes as biomarkers. In this case, PR expression is the single co-variable (or predictor) in the classification model that describes the survival time differences shown in (B), demonstrating that PR is a single gene predictor that represents the NR gene profile when SHP expression is excluded. p-values were obtained using the log-rank test. Red and black lines represent high- and low-risk groups, respectively. Circles indicate censored samples. (C and D) HRs from univariate Cox regression models for SHP and PR expression, respectively, in the MDACC and multi-site Consortium datasets.