Table 1.
The Cancer Genome Atlas CRC dataset patient and tumor characteristics.
Fig 1.
Genes associated with CRC distant recurrence (DR).
Heatmap depicting the expression levels of differentially expressed genes (1.5 fold changes and P ≤ 0.05) between DR and non-recurrent (NR) CRC patients from the GSE71222 (a) and GSE21510 (b) datasets. Each column represents an individual sample and each row represents a single transcript. The expression level of each mRNA in a single sample is depicted according to the color scale. (c) Venn diagram depicting the common upregulated genes between DR and NR CRC samples from the GSE71222 and GSE21510 datasets. (d) Pie chart illustrating the distribution of the top 5 pathway designations for the 44 common upregulated transcripts from (c). The pie size corresponds to the number of matched entities.
Table 2.
Common recurrence-related genes in the GSE71222 and GSE21510 datasets.
Fig 2.
Validation of the distant recurrence (DR) gene panel in the TCGA dataset.
(a) OncoPrint of the DR five-gene signature in the TCGA CRC dataset. Alteration in the expression of different members of the five-gene signature (rows) in relation to each sample (columns). Relationships to overall and disease-free survival are also shown. CRC cases with upregulated expression of the DR signature showed worse overall (b) and disease-free (c) survival than cases with lower expression. (d) Network view of the VIP/DACT1/S100A2 neighborhood in CRC. VIP, DACT1, and S100A2 are seed genes (indicated with thick borders), and all other genes were identified as altered in CRC.
Table 3.
Multivariate analyses for the prognostic value of the 5-gene signature in TCGA CRC dataset.