DNMT family induces down-regulation of NDRG1 via DNA methylation and clinicopathological significance in gastric cancer

Prognostic value of genome-wide methylation in acute-on-chronic hepatitis B liver failure

AIM

Methylation status of genome varies between pre-acute-on-chronic hepatitis B liver failure (pre-ACHBLF), acute-on-chronic hepatitis B liver failure (ACHBLF), and chronic hepatitis B patients. This study aimed to find better prognostic indicators for acute-on-chronic liver failure.

METHODS

The level of global genome methylation in peripheral blood mononuclear cells (PBMCs) was detected. The overall genome methylation rate was determined using MethylFlash™ Methylated DNA Quantification Kit(Colorimetric). DNMT activity were measured using DNA Methyltransferase Activity/Inhibition Assay Kit. Gene expression of DNA methyltransferases (DNMT)，methyl-CpG-binding domain (MBD) were detected by qRT-PCR.

RESULTS

The global genome methylation level in ACHBLF group was significantly higher than that in chronic hepatitis B group (P<0.001). There was also obvious difference of the global genome methylation level between pre-ACHBLF group and CHB group (P<0.001). Meanwhile, the activity of DNMT in ACHBLF group was significantly higher than that in chronic hepatitis B group (P<0.001). The mRNA expression level of DNMT1 was higher than that in pre-ACHBLF group (P<0.01) and CHB group (PP<0.001). The mRNA expression level of MBD1 in ACHBLF group was also higher than that in CHB group (P<0.001) and healthy controls (HCs) (P<0.01). And the mRNA expression level of MBD3 and MBD4 in ACHBLF, pre-ACHBLF and CHB group were lower than that in HCs (P<0.001). Meanwhile we observed an opposite change in the mRNA expression level of MECP2. The ROC curve suggested that global genome methylation level was a better prognostic predictor than MELD score in ACHBLF (AUC 0.950, SE 0.0237, 95%CI 0.874-0.986 VS AUC 0.863, SE 0.0439, 95%CI 0.765-0.931, P=0.0429).

CONCLUSIONS

Genome methylation level can be a good biomarker in predicting the severity and prognosis of ACHBLF.

Cytotoxic and epigenetic effects of berberine-loaded chitosan/pectin nanoparticles on AGS gastric cancer cells: Role of the miR-185-5p/KLF7 axis, DNMTs, and global DNA methylation

Poor bioavailability, solubility, and absorption of berberine (Ber) limit its widespread application. Here, we formulated novel chitosan/pectin nanoparticles (NPs) loaded with Ber to address delivery problems and promote the anticancer properties of Ber in AGS gastric cancer cells. The ionic gelification method was used to synthesize NPs-Ber. Physicochemical characterization of NPs-Ber was performed using FE-SEM, DLS, PDI, ζ potential, and FTIR. The cytotoxic effects of NPs-Ber on AGS cells were evaluated using the MTT assay. Apoptosis and cell cycle arrest were examined by flow cytometry. The gene expression levels of miR-185-5p, KLF7, caspase-3, and DNMTs were determined using RT-qPCR. In addition, the 5-methylcytosine level in the genomic DNA was quantified using ELISA. FE-SEM images revealed a denser and more packed matrix for NPs-Ber, and FTIR analysis confirmed the formation of NPs-Ber. The size (550.39 nm), PDI (0.134), and ζ potential (-16.52 mV) confirmed the stability of the prepared NPs-Ber. NPs-Ber showed a continuous release pattern following the Korsmeyer-Peppas model such that 81.36 % of Ber was released from the formulation after 240 min. Compared to NPs and free Ber, NPs-Ber was found to possess higher anticancer activity in AGS cells. This result was indicated by the viability test and further clarified by augmented apoptosis and cell cycle arrest at the G0/G1 phase. The IC50 value of NP-Ber against AGS cells was significantly lower than those of free Ber and NPs. Interestingly, our results showed that NPs-Ber considerably changed the expression levels of miR-185-5p, KLF7, caspase-3, and DNMTs (DNMT1, 3A, and 3B) compared with unloaded NPs and free Ber. Additionally, 5-methylated cytosine (5-mC) levels in cells treated with NPs-Ber were significantly higher than those in cells treated with unloaded NPs or free Ber. In summary, the present study demonstrated that Ber encapsulation in NPs enhances its cytotoxic and epigenetic effects on AGS cells, suggesting the promising potential of NPs-Ber in GC therapy.

The Myc Family and the Metastasis Suppressor NDRG1: Targeting Key Molecular Interactions with Innovative Therapeutics

Cancer is a leading cause of death worldwide, resulting in ∼10 million deaths in 2020. Major oncogenic effectors are the Myc proto-oncogene family, which consists of three members including c-Myc, N-Myc, and L-Myc. As a pertinent example of the role of the Myc family in tumorigenesis, amplification of MYCN in childhood neuroblastoma strongly correlates with poor patient prognosis. Complexes between Myc oncoproteins and their partners such as hypoxia-inducible factor-1α and Myc-associated protein X (MAX) result in proliferation arrest and pro-proliferative effects, respectively. Interactions with other proteins are also important for N-Myc activity. For instance, the enhancer of zest homolog 2 (EZH2) binds directly to N-Myc to stabilize it by acting as a competitor against the ubiquitin ligase, SCFFBXW7, which prevents proteasomal degradation. Heat shock protein 90 may also be involved in N-Myc stabilization since it binds to EZH2 and prevents its degradation. N-Myc downstream-regulated gene 1 (NDRG1) is downregulated by N-Myc and participates in the regulation of cellular proliferation via associating with other proteins, such as glycogen synthase kinase-3β and low-density lipoprotein receptor-related protein 6. These molecular interactions provide a better understanding of the biologic roles of N-Myc and NDRG1, which can be potentially used as therapeutic targets. In addition to directly targeting these proteins, disrupting their key interactions may also be a promising strategy for anti-cancer drug development. This review examines the interactions between the Myc proteins and other molecules, with a special focus on the relationship between N-Myc and NDRG1 and possible therapeutic interventions. SIGNIFICANCE STATEMENT: Neuroblastoma is one of the most common childhood solid tumors, with a dismal five-year survival rate. This problem makes it imperative to discover new and more effective therapeutics. The molecular interactions between major oncogenic drivers of the Myc family and other key proteins; for example, the metastasis suppressor, NDRG1, may potentially be used as targets for anti-neuroblastoma drug development. In addition to directly targeting these proteins, disrupting their key molecular interactions may also be promising for drug discovery.

A review on the role of NDRG1 in different cancers

NDRG1 is a member of the α/β hydrolase superfamily that resides in the cytoplasm and participates in the stress responses, hormone response, cell growth, and differentiation. Several studies have pointed to the importance of NDRG1 in the carcinogenesis. This gene has been found to be up-regulated in an array of cancer types such as bladder, esophageal squamous cell carcinoma, endometrial, lung and liver cancers, but being down-regulated in other types of cancers such as colorectal, gastric and ovarian cancers. The current study summarizes the evidence on the role of NDRG1 in the carcinogenic processes in different types of tissues.

Identification of a Novel Protein-Based Prognostic Model in Gastric Cancers

Gastric cancer (GC) is the third leading cause of cancer-related deaths worldwide. However, there are still no reliable biomarkers for the prognosis of this disease. This study aims to construct a robust protein-based prognostic prediction model for GC patients. The protein expression data and clinical information of GC patients were downloaded from the TCPA and TCGA databases, and the expressions of 218 proteins in 352 GC patients were analyzed using bioinformatics methods. Additionally, Kaplan-Meier (KM) survival analysis and univariate and multivariate Cox regression analysis were applied to screen the prognosis-related proteins for establishing the prognostic prediction risk model. Finally, five proteins, including NDRG1_pT346, SYK, P90RSK, TIGAR, and XBP1, were related to the risk prognosis of gastric cancer and were selected for model construction. Furthermore, a significant trend toward worse survival was found in the high-risk group (p = 1.495 × 10-7). The time-dependent ROC analysis indicated that the model had better specificity and sensitivity compared to the clinical features at 1, 2, and 3 years (AUC = 0.685, 0.673, and 0.665, respectively). Notably, the independent prognostic analysis results revealed that the model was an independent prognostic factor for GC patients. In conclusion, the robust protein-based model based on five proteins was established, and its potential benefits in the prognostic prediction of GC patients were demonstrated.

CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration

Introduction

Dysregulation of cell cycle progression (CCP) is a trait that distinguishes cancer from other diseases. In several cancer types, CCP-related genes serve as the primary risk factor for prognosis, but their role in cutaneous melanoma remains unclear.

Methods

Data from cutaneous melanoma patients were acquired from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Using a Wilcoxon test, the level of CCP-related gene expression in cutaneous melanoma patient tissues was compared to that in normal skin tissues. Logistic analysis was then utilized to calculate the connection between the CCP-related genes and clinicopathological variables. The important functions of the CCP-related genes were further investigated using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and single-sample Gene Set Enrichment Analysis (ssGSEA). Univariate and multivariate Cox analyses and Kaplan-Meier analysis were used to estimate the association between CCP-related genes and prognosis. In addition, using Cox multivariate analysis, a nomogram was constructed to forecast the influence of CCP-related genes on survival rates.

Results

High expression of CCP-related genes was associated with TNM stage, age, pathological grade, and Breslow depth (P < 0.05). Multivariate analysis demonstrated that CCP-related genes were an independent factor in overall survival and disease-specific survival. High levels of gene expression originating from CCP were shown by GSEA to trigger DNA replication, the G1-S specific transcription factor, the mitotic spindle checkpoint, and the cell cycle. There was a negative association between CCP-related genes and the abundance of innate immune cells. Finally, we revealed that knockdown of cell division cycle-associated gene 3 (CDCA3) significantly suppressed the proliferation and migration ability of cutaneous melanoma cells.

Conclusion

According to this study, CCP-related genes could serve as potential biomarkers to assess the prognosis of cutaneous melanoma patients and are crucial immune response regulators.

Susceptibility of Genetic Variations in Methylation Pathway to Gastric Cancer

Background

DNA methylation in the CpG island is associated with gastric cancer, genetic variations residue in genes involved in methylation pathway could contribute to the occurrence of gastric cancer. Here, we investigated the association between DNMTs (DNMT1/DNMT3A/DNMT3B), MTHFR genetic variations and gastric cancer risk and patients' survival.

Patients and Methods

We recruited 490 gastric cancer patients and 488 age- and sex-matched healthy controls. The genotypes of the genetic variations were detected by a Mass-array platform. A commercial Helicobacter pylori (H. pylori) immunogold testing kit was used to determine the H. pylori infection.

Results

We found that carriers of DNMT1 rs2228612C allele was associated with decreased gastric cancer risk (CT vs. TT: adjusted OR = 0.70, 95% CI = 0.53-0.94, P = 0.02; CT/CC vs.TT: adjusted OR = 0.73, 95% CI = 0.56-0.96, P = 0.02). Further stratified analysis showed that DNMT1 rs2228612 CT/CC were associated with a decreased gastric cancer risk in the subgroups of age ≤64 years old (adjusted OR = 0.61, 95% CI = 0.41-0.90, P = 0.01), male (adjusted OR = 0.72, 95% CI = 0.53-0.98, P = 0.03), negative H. pylori infection (adjusted OR = 0.67, 95% CI = 0.45-0.98, P = 0.04), tumor stage T3-T4 (adjusted OR = 0.69, 95% CI = 0.51-0.92, P = 0.01), and non-gastric cardiac adenocarcinoma (NGCA) (adjusted OR = 0.72, 95% CI = 0.54-0.97, P = 0.03). However, none of the genetic variations of this study was associated with overall survival.

Conclusion

We concluded that the DNMT1 rs2228612C genotype is a protective factor for gastric cancer in Han Chinese population.