Research Article

Integrative Molecular Analyses of an Individual Transcription Factor-Based Genomic Model for Lung Cancer Prognosis

Figure 3

External verification of the TF genomic model for lung cancer prognosis in GSE72094 cohort. (a) Risk score distribution of lung cancer patients is displayed in line with the regression coefficient derived from multivariate Cox regression models and expression value of SATB2, HLF, and NPAS2. Vertical dashed line shows the grouping cutoff. Red dots are indicative of high-risk specimens, while blue dots are indicative of low-risk specimens. (b) Scatter plots present the survival duration and status of lung cancer patients that are ranked by risk score. Vertical dashed line represents the grouping cutoff. Red triangle expresses high-risk individual, while blue triangle expresses low-risk individual. (c) Hierarchical clustering analyses show the expression patterns of SATB2, HLF, and NPAS2 in two groups. Red represents upregulated expression, while blue represents downregulated expression. (d) Survival analyses are carried out between groups, and survival difference is estimated through log-rank test. (e) ROC curves display the predictive potency of risk score for lung cancer outcomes.
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