PRI-724 and IWP-O1 Wnt Signaling Pathway Inhibitors Modulate the Expression of Glycolytic Enzymes in Tongue Cancer Cell Lines.
Robert KleszczJarosław PaluszczakMarta BelkaVioletta Krajka-KuzniakPublished in: Current issues in molecular biology (2023)
The dysregulation of energetic metabolism is one of the hallmarks of cancer cells. Indeed, the growth of head and neck squamous cell carcinoma (HNSCC) cells depends heavily on glycolytic activity, which can be considered a potential therapeutic target. Wnt signaling is one of the pathways that undergoes upregulation in HNSCC. Our previous studies have shown that Wnt signaling inhibitors-PRI-724 and IWP-O1-attenuate tongue SCC survival and reduce glucose uptake and lactate release. The aim of this research was to further evaluate the possible mechanisms of the previously observed effects. We assessed the effect of PRI-724 and IWP-O1 on the expression of selected glycolytic enzymes: phosphofructokinase M, pyruvate kinase M2, and lactate dehydrogenase. Relative transcript expression was assessed by real-time PCR, and protein levels by Western blot. Moreover, clinical data concerning mRNA and protein expression, gene promoter methylation, and HNSCC patients' survival time were analyzed by the UALCAN tool, and protein-protein interaction was assessed using the STRING database. Experimental and bioinformatic data confirmed the relation between Wnt signaling and glycolytic enzymes in tongue cancer cells and HNSCC clinical samples. Overall, the inhibition of glucose metabolism by Wnt signaling inhibitors is a promising mode of action against tongue cancer cells.
Keyphrases
- poor prognosis
- protein protein
- signaling pathway
- binding protein
- induced apoptosis
- end stage renal disease
- small molecule
- dna methylation
- real time pcr
- long non coding rna
- newly diagnosed
- cell proliferation
- chronic kidney disease
- electronic health record
- genome wide
- ejection fraction
- big data
- gene expression
- emergency department
- transcription factor
- pi k akt
- papillary thyroid
- cell cycle arrest
- metabolic syndrome
- machine learning
- amino acid
- free survival
- south africa
- blood glucose
- cell death
- skeletal muscle
- patient reported outcomes
- risk assessment
- insulin resistance
- data analysis