The association between rs16917496 T/C polymorphism of SET8 gene and cancer risk in Asian populations: a meta-analysis

Histone lysine methyltransferase SET8 is a novel therapeutic target for cancer treatment

SET8 is the only lysine methyltransferase that can specifically monomethylate the histone H4K20. SET8-mediated protein modifications are largely involved in the regulation of cell cycle, DNA repair, gene transcription, cell apoptosis, and other vital physiological processes. The aberrant expression of SET8 is closely linked to the proliferation, invasion, metastasis, and prognosis of a variety of cancers. As a consequence, targeting SET8 could be an appealing strategy for cancer therapy. In this article, we introduce the molecular structure of SET8, followed by summarizing its roles in various biological pathways. Crucially, we highlight the potential functions of SET8 in tumors, as well as progress in the development of SET inhibitors for cancer treatment.

MicroRNA polymorphism: A target for diagnosis and prognosis of hepatocellular carcinoma?

Hepatocellular carcinoma (HCC) is a life-threatening cancer of the digestive system, with complex pathogenesis affected by a broad spectrum of genetic and epigenetic factors. Among several factors, microRNAs (miRNAs), which are considered regulators of the post-transcriptional gene expression, play important roles in determining the malignant phenotype of HCC. In recent years, the advances in molecular genetics have resulted in the characterization of complex genetic factors and in the identification of epigenetic mechanisms of diseases. Accumulating data have suggested that miRNA polymorphisms are involved in tumorigenesis and prognosis, suggesting that the miRNAs may serve as a target for HCC with regard to pathogenesis and prognosis. In the present review, a comprehensive and detailed literature search was conducted and the role of miRNA polymorphisms in the pathogenesis and prognosis of HCC is summarized. The data proposed the use of miRNAs as targets for the diagnosis and treatment of HCC.

microRNA-related single-nucleotide polymorphisms and breast cancer

Breast cancer, as the most common cancer in women which affects patients both mentally and physically, requires great attention in many areas and many levels as this cancer is known to be multifactorial. Single-stranded molecules called microRNAs with near 22 nucleotides are seen to act in central dogma of molecular biology by inhibiting the translation process; it is demonstrated that any alteration in their sequence especially single-nucleotide polymorphisms (SNPs) may lead into increasing the breast cancer risk. miR-SNPs are considered to be the potential biomarkers for early detection of breast cancer. As a result, this review documents the well-known miR-SNPs that are known to be associated with breast cancer. In this regard, two principals were discussed: (a) SNPs in the target genes of microRNAs and the alteration in gene expression due to this phenomenon; (b) changes based on the SNPs in the microRNA coding region and the impact on their interaction with target messenger RNA.

Association between SCN1A polymorphism rs3812718 and valproic acid resistance in epilepsy children: a case-control study and meta-analysis

Resistance to valproic acid (VPA), a first-line antiepileptic drug (AED), is occurring at an alarming rate, particularly in children. Signal nucleotide polymorphisms are considered crucial in this process. Therefore, we investigated whether the SCN1A polymorphism rs3812718 could be associated with VPA resistance. A total of 231 children with epilepsy who were solely administered VPA were enrolled. DNA was extracted from the peripheral blood samples and was genotyped by the Mass Array method. Furthermore, a meta-analysis was conducted between the drug responsive and resistant patients who were exposed to voltage-gated sodium channels. Results revealed that the TT genotype was associated with a higher risk of developing drug resistance (OR = 2.636, 95% CI 1.08–6.433, P = 0.033). After adjusting for the risk factors, a significant difference was still observed between the responsive and resistant groups (OR = 2.861, 95% CI 1.141–7.174, P = 0.025). Moreover, the recessive model was associated with a decreased drug resistance (OR = 0.402, 95% CI 0.167–0.968, P = 0.042) after correcting the risk factors. Meta-analysis of nine studies revealed similar results. In conclusion, our results proved that the rs3812718 TT genotype was associated with a high risk of developing drug resistance, and the recessive model could decrease the risk of VPA resistance.