2014; Eikrem et al. 2016a). We correlated the log2 cpm expression values of the EMT genes, which were obtained from the LIMMA/VOOM analysis in R Bioconductor, to the cancer stage applying a bivariate polynomial fitting algorithm. CAV1 had the largest absolute correlation, followed by VIM, IGFBP3, and ITGA1. Interestingly, the expression levels did not increase from the stage 2 to stage 3, and in some cases even decreased. These results are depicted in Figure 4. The gene discussed is IGFBP3; the disease is cancer.