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

Figure 2

Development of a TF genomic model for lung cancer prognosis in TCGA cohort. (a) Forest diagram displays the prognostic lung cancer-specific TFs through univariate Cox regression analyses. Vertical dashed line indicates . Green represents while red represents . (b) Risk score of lung cancer patients is quantified in line with the regression coefficient derived from multivariate Cox regression models and expression value of SATB2, HLF, and NPAS2. Vertical dashed line expresses the grouping cutoff. Red dots represent high-risk specimens, while blue dots represent low-risk specimens. (c) Scatter diagram displays the survival duration and status of lung cancer patients that are ranked by risk score. Vertical dashed line expresses the grouping cutoff. Red triangle is indicative of high-risk specimen, while blue triangle is indicative of low-risk specimen. (d) Hierarchical clustering analyses present the expression patterns of SATB2, HLF, and NPAS2 in two groups. Red indicates high expression, and blue indicates low expression. (e) Survival analyses are conducted between high- and low-risk groups, and survival difference is estimated with log-rank test. (f) ROC curves are conducted on the basis of risk score for lung cancer outcomes.

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