Evaluation of an aldo-keto reductase gene signature with prognostic significance in colon cancer via activation of epithelial to mesenchymal transition and the p70S6K pathway

Seçil Demirkol Canlı, Esin Gülce Seza, Ilir Sheraj, Ismail Gömçeli, Nesrin Turhan, Steven Carberry, Jochen H M Prehn, Ali Osmay Güre, Sreeparna Banerjee
2020 Carcinogenesis  
AKR1B1 and AKR1B10, members of the aldo-keto reductase family of enzymes that participate in the polyol pathway of aldehyde metabolism, are aberrantly expressed in colon cancer. We previously showed that high expression of AKR1B1 (AKR1B1HIGH) was associated with enhanced motility, inflammation and poor clinical outcome in colon cancer patients. Using publicly available datasets and ex vivo gene expression analysis (n=51, Ankara cohort), we have validated our previous in silico finding that
more » ... 1HIGH was associated with worse overall survival (OS) compared to patients with low expression of AKR1B1 (AKR1B1LOW) samples. A combined signature of AKR1B1HIGH and AKR1B10LOW was significantly associated with worse recurrence free survival in MSS patients and in patients with distal colon tumors as well as a higher mesenchymal signature when compared to AKR1B1LOW/AKR1B10HIGH tumors. When the patients were stratified according to Consensus Molecular Subtypes (CMS), AKR1B1HIGH/AKR1B10LOW samples were primarily classified as CMS4 with predominantly mesenchymal characteristics while AKR1B1LOW/AKR1B10HIGH samples were primarily classified as CMS3 which is associated with metabolic deregulation. Reverse Phase Protein Array (RPPA) carried out using protein samples from the Ankara cohort indicated that AKR1B1HIGH/AKR1B10LOW tumors showed aberrant activation of metabolic pathways. Western blot analysis of AKR1B1HIGH/AKR1B10LOW colon cancer cell lines also suggested aberrant activation of nutrient sensing pathways. Collectively, our data suggest that the AKR1B1HIGH/AKR1B10LOW signature may be predictive of poor prognosis, aberrant activation of metabolic pathways, and can be considered as a novel biomarker for colon cancer prognostication.
doi:10.1093/carcin/bgaa072 pmid:32628753 fatcat:4cb3pbvwsbcjnjhe4o3ehhnnda