Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Identification of DEGs.

(A) Volcano plots of DEGs in GEO. (B)Volcano plots of DEGs in TCGA. (C) The Venn diagram showed 3820 overlapping DEGs.

More »

Fig 1 Expand

Fig 2.

GO annotation analyses of DEGs.

(A) The bar plot of GO annotation analyses of top 8 enriched pathways in BP, CC and MF. (B) The bubble plot of GO annotation analyses of top 8 enriched pathways in BP, CC and MF. (C) The network of interaction between top 50 enriched pathways.

More »

Fig 2 Expand

Fig 3.

KEGG pathway enrichment analyses of DEGs.

(A) The bar plot of top 30 enriched KEGG pathways. (B) The bubble plot of top 30 enriched KEGG pathways. (C) The circle plot and the table of description for the top 10 enriched KEGG pathways.

More »

Fig 3 Expand

Fig 4.

Construction and verification of prognostic model.

(A) Coefficient profile of LASSO. (B) The selection of tuning parameter (lambda) based on the minimum criteria for overall survival and by 10-fold cross-validation. (C) The forest plot for summarizing the prognostic model, showing the coefficients, hazard ration (including the range) and the p value of every ten selected genes. (D) The Kaplan-Meier survival curve of patients in high-risk and low-risk groups. (E) The ROC curves of the model estimating 1-, 3-, 5- and 8-year overall survival.

More »

Fig 4 Expand

Fig 5.

Kaplan-Meier survival curve.

(A-J) The Kaplan-Meier survival curve of different genes in high-expression and low-expression groups.

More »

Fig 5 Expand

Fig 6.

Establishment and verification of diagnostic model.

(A) The forest of summarizing the diagnostic model. (B) The ROC curve of this diagnostic model. (C) The nomogram for the clinical utility of this model. (D) The calibration curves for the nomogram. (E) The ROC curve of this diagnostic model in TCGA data. (F) The calibration curves for the nomogram in TCGA data.

More »

Fig 6 Expand

Fig 7.

Validation of the level of key genes.

(A) mRNA expressions of the 10 signature genes detected by RT-qPCR (n = 6). (B) Protein expressions of the 10 signature genes detected by Western Blot (n = 3). (C) SNAPC2 mRNA expression in transfected HepG2 cells detected by RT-qPCR (n = 6). (D) SNAPC2 protein expression in transfected HepG2 cells detected by Western Blot (n = 3). * P < 0.05, ** P < 0.01, *** P < 0.001.

More »

Fig 7 Expand

Fig 8.

SNAPC2 affected the proliferation, migration and apoptosis of liver cancer cells.

(A) The result of CCK-8 assays (n = 3). (B) The result of colony-forming assay (n = 3). (C) The result of cell scratch test (n = 3). (D) The result of transwell migration assay (n = 4). (E) The result of flow cytometry after transfected cells being double stained. * P < 0.05, ** P < 0.01, *** P < 0.001.

More »

Fig 8 Expand

Fig 9.

Exploring the mechanism of SNAPC2 in liver cancer.

(A) GSEA enrichment analysis of single gene SNAPC2 in GEO data. (B) GSEA enrichment analysis of single gene SNAPC2 in TCGA data. (C) GSEA curves in GEO data. (D) GSEA curves in TCGA data. (E-F) Correlation analysis heatmap. (G) Boxplot display of Friend analysis results.

More »

Fig 9 Expand