Fig 1.
Survival based gene expression gene analysis in PDAC.
Flow diagram depicting analysis pipeline to identify 707 differentially expressed genes (DEG) between Survival- and Survival+ groups with subsequent analysis to determine a survival signature.
Fig 2.
Validation of survival DEG list.
(A) Volcano plot highlighting genes associated with survival from TCGA dataset. (B) Bar graph depicting the top 26 enriched pathways based on Reactome pathways analysis of the 602 up-regulated gene from the 707 DEG list. (C) Scatter plot of log fold change of differentially expressed genes vs delta beta of differentially methylated genes between Survival- and Survival+ samples. False indicates methylation status opposite of predicted for gene expression change (total of 31 genes). True indicates concordance between methylation status and gene expression change (total of 676 genes). (D) Bar chart showing percentage overlap of Pancreatic Cancer DEG list with indicated published signatures.
Table 1.
5-Gene pancreatic cancer survival signature.
Fig 3.
5-gene signature captures histological and molecular features of aggressive PDAC.
(A) Box plots showing composite H-score from immunohistochemistry staining of human PDAC samples for ADM, KRT6a, ASPM, DCBLD2, and E2F7 with samples grouped based on AJCC stage, differentiation status, and presence of vascular invasion on histology. N = 10 human PDAC tumor samples. (B) Signature score boxplot versus GSE71729 and (C) GSE57495. *p = 0.01381 and ns = non-significant based on t-test. **p = 4.6 x 10−8 and ***p = 7.1 x 10−7 based on Anova analysis.
Fig 4.
5-gene signature enhances prediction of patient survival in PDAC.
(A) ROC curve demonstrating predictive power of pancreatic survival signature in the Pancreatic ICGC (left), GSE57495 (middle), and GSE71729 (right) datasets. (B) Kaplan-Meier plot demonstrating predictive power of pancreatic survival signature in Pancreatic ICGC (left), GSE57495 (middle), and GSE71729 (right) datasets.