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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Single-cell transcriptomic sequencing data reveal aberrant DNA methylation in SMAD3 promoter region in tumor-associated fibroblasts affecting molecular mechanism of radiosensitivity in non-small cell lung cancer

Fig. 2

Identification of genes related to the prognosis of NSCLC patients. A Univariate Cox regression analysis of the GSE37745 dataset. The left shows the gene name, the middle is the p value, and the right indicates the risk rate distribution. Hazard ratio represents the risk rate, and a gene with the risk rate greater than 1 represents a high-risk gene, while less than 1, it represents a low-risk gene. B Expression of 15 genes in the clinical tissue samples and adjacent normal tissue samples of NSCLC patients (n = 120) measured by RT-qPCR. * p < 0.05. C Correlation between SMAD3 expression and overall survival in NSCLC patients analyzed by Kaplan–Meier plotter database. Red indicates SMAD3 high expression, black indicates low SMAD3 expression. D Immunohistochemistry of SMAD3 protein in normal lung tissues and NSCLC tissues (30 samples randomly selected from 120 samples). * p < 0.05. E Univariate Cox regression analysis confirmed SMAD3 as an independent prognostic factor of NSCLC. F Multivariate Cox regression analysis confirmed SMAD3 as an independent prognostic factor of NSCLC. G A nomogram composed of SMAD3 expression, age, and tumor stage. H Accuracy of the predicted 1-, 2- and 3-year survival rate determined by a calibration curve based on the nomogram. I SMAD3 enrichment analyzed by the NSCLC-related scRNA-seq dataset from the TISCH database. The abscissa represents the cell type, the ordinate represents the dataset and color scale indicates expression, with darker color corresponding to higher expression

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