Prompted by these observations, the present work was aimed at: i) implementing the already known APE1-PPI network using a more efficient functional proteomics approach, and ii) defining the association of the APE1-PPI network with the modulation of tumor progression and chemoresistance through a systematic bioinformatics analysis of the Cancer Genome Atlas (TCGA) datasets. This evidence concerns the gene APEX1 and neoplasm.