The MBD4 Glu346Lys polymorphism is associated with the risk of cervical cancer in a Chinese population

Base Excision Repair in the Immune System: Small DNA Lesions With Big Consequences

The integrity of the genome is under constant threat of environmental and endogenous agents that cause DNA damage. Endogenous damage is particularly pervasive, occurring at an estimated rate of 10,000–30,000 per cell/per day, and mostly involves chemical DNA base lesions caused by oxidation, depurination, alkylation, and deamination. The base excision repair (BER) pathway is primary responsible for removing and repairing these small base lesions that would otherwise lead to mutations or DNA breaks during replication. Next to preventing DNA mutations and damage, the BER pathway is also involved in mutagenic processes in B cells during immunoglobulin (Ig) class switch recombination (CSR) and somatic hypermutation (SHM), which are instigated by uracil (U) lesions derived from activation-induced cytidine deaminase (AID) activity. BER is required for the processing of AID-induced lesions into DNA double strand breaks (DSB) that are required for CSR, and is of pivotal importance for determining the mutagenic outcome of uracil lesions during SHM. Although uracils are generally efficiently repaired by error-free BER, this process is surprisingly error-prone at the Ig loci in proliferating B cells. Breakdown of this high-fidelity process outside of the Ig loci has been linked to mutations observed in B-cell tumors and DNA breaks and chromosomal translocations in activated B cells. Next to its role in preventing cancer, BER has also been implicated in immune tolerance. Several defects in BER components have been associated with autoimmune diseases, and animal models have shown that BER defects can cause autoimmunity in a B-cell intrinsic and extrinsic fashion. In this review we discuss the contribution of BER to genomic integrity in the context of immune receptor diversification, cancer and autoimmune diseases.

Identification of Differentially Expressed Genes to Establish New Biomarker for Cancer Prediction

The goal of the human genome project is to integrate genetic information into different clinical therapies. To achieve this goal, different computational algorithms are devised for identifying the biomarker genes, cause of complex diseases. However, most of the methods developed so far using DNA microarray data lack in interpreting biological findings and are less accurate in disease prediction. In the paper, we propose two parameters risk_factor and confusion_factor to identify the biologically significant genes for cancer development. First, we evaluate risk_factor of each gene and the genes with nonzero risk_factor result misclassification of data, therefore removed. Next, we calculate confusion_factor of the remaining genes which determines confusion of a gene in prediction due to closeness of the samples in the cancer and normal classes. We apply nondominated sorting genetic algorithm (NSGA-II) to select the maximally uncorrelated differentially expressed genes in the cancer class with minimum confusion_factor. The proposed Gene Selection Explore (GSE) algorithm is compared to well established feature selection algorithms using 10 microarray data with respect to sensitivity, specificity, and accuracy. The identified genes appear in KEGG pathway and have several biological importance.

Berzosertib (VE-822) inhibits gastric cancer cell proliferation via base excision repair system

Background

Current investigations suggest that the Base Excision Repair (BER) system may change DNA repair capacity and affect clinical gastric cancer progression such as overall survival. However, the prognostic value of BER system members in gastric cancer remains unclear.

Methods

We explored the prognostic correlation between 7 individual BER genes, including uracil-DNA glycosylase (UNG), Single-strand-selective monofunctional uracil-DNA glycosylase 1 (SMUG1), Methyl-CpG binding domain 4 (MBD4), thymine DNA glycosylase (TDG), 8-oxoguanine DNA glycosylase (OGG1), MutY DNA glycosylase (MUTYH) and Nei like DNA glycosylase 1 (NEIL1), expression and overall survival (OS) in different clinical data, such as Lauren classification, pathological stages, human epidermal growth factor receptor-2 (HER2) expression status, treatment strategy, gender and differentiation degree in gastric cancer patients, using Kaplan-Meier plotter (KM plotter) online database. Based on the bioinformatics analysis, we utilized Berzosertib (VE-822) to inhibit DNA damage repair in cancer cells compared to solvent control group via real-time cellular analysis (RTCA), flow cytometry, colony formation and migration assay. Finally, we utilized reverse transcription-polymerase chain reaction (RT-PCR) to confirm the expression of BER members between normal and two gastric cancer cells or solvent and VE-822 treated groups.

Results

Our work revealed that high UNG mRNA expression was correlated with high overall survival probability; however, high SMUG1, MBD4, TDG, OGG1, MUTYH and NEIL1 mRNA expression showed relatively low overall survival probability in all GC patients. Additionally, UNG was associated with high overall survival probability in intestinal and diffuse types, but SMUG1 and NEIL1 showed opposite results. Further, VE-822 pharmacological experiment suggested that inhibition of DNA damage repair suppressed gastric cancer cells’ proliferation and migration ability via inducing apoptosis. Further, real-time polymerase chain reaction results proposed the inhibition of gastric cancer cells by VE-822 may be through UNG, MUTYH and OGG-1 of BER system.

Conclusion

We comprehensively analyze the prognostic value of the BER system (UNG, SMUG1, MBD4, TDG, OGG1, MUTYH and NEIL1) based on bioinformatics analysis and experimental confirmation. BER members are associated with distinctive prognostic significance and maybe new valuable prognostic indicators in gastric cancer.

DNA modifications: function and applications in normal and disease States

Epigenetics refers to a variety of processes that have heritable effects on gene expression programs without changes in DNA sequence. Key players in epigenetic control are chemical modifications to DNA, histone, and non-histone chromosomal proteins, which establish a complex regulatory network that controls genome function. Methylation of DNA at the fifth position of cytosine in CpG dinucleotides (5-methylcytosine, 5mC), which is carried out by DNA methyltransferases, is commonly associated with gene silencing. However, high resolution mapping of DNA methylation has revealed that 5mC is enriched in exonic nucleosomes and at intron-exon junctions, suggesting a role of DNA methylation in the relationship between elongation and RNA splicing. Recent studies have increased our knowledge of another modification of DNA, 5-hydroxymethylcytosine (5hmC), which is a product of the ten-eleven translocation (TET) proteins converting 5mC to 5hmC. In this review, we will highlight current studies on the role of 5mC and 5hmC in regulating gene expression (using some aspects of brain development as examples). Further the roles of these modifications in detection of pathological states (type 2 diabetes, Rett syndrome, fetal alcohol spectrum disorders and teratogen exposure) will be discussed.