ZNF677 downregulation by promoter hypermethylation as a driver event through gastric tumorigenesis

Gastric cancer (GC) is one of the leading causes of cancer-related death worldwide, due to poor prognosis and treatment failure; demanding new diagnostic and therapeutic targets. Therefore, in the present study, the methylation and expression status of ZNF677, as a promising tumor suppressor, were investigated in GC. Gene Expression Omnibus (GEO) datasets were used to initially evaluate ZNF677 expression and methylation in GC samples. Confirmation was performed on fifty internal samples, including gastric tumors and adjacent normal specimens, using q-MSP and q-PCR methods. Further validations were done using The Cancer Genome Atlas (TCGA) data on human cancers. The obtained results in silico and experimentally illustrated that ZNF677 is significantly hypermethylated and downregulated through gastric tumorigenesis. ZNF677 methylation levels were also correlated with perineural invasion (p = 0.0382) in internal samples. Furthermore, Spearman's correlation analysis showed that ZNF677 methylation is negatively (r = -0.4614, p < 0.0001) correlated with its mRNA expression levels. ROC curve analysis also illustrated the high diagnostic value of ZNF677 methylation for early detection of GC (AUC = 0.8592). Gene set enrichment analysis further revealed that ZNF677 participates in the regulation of cellular processes such as cell proliferation in GC. Moreover, in addition to hypermethylation in other malignancies, including breast, lung, and colorectal cancers, ZNF677 was hypermethylated in precancerous gastric tissues with intestinal metaplasia, indicating its methylation as a driver event through tumorigenesis. Taken together, our results suggest ZNF677 as a potential tumor suppressor gene, which could be considered as a diagnostic and therapeutic target for GC.

Automated summary

The study found that ZNF677 is significantly hypermethylated and downregulated in gastric cancer, with implications for tumorigenesis. ZNF677 methylation levels are correlated with perineural invasion, and negatively correlated with mRNA expression.ROC curve analysis shows high diagnostic value of ZNF677 methylation for early detection of GC.