DNA methylation and cancer: transcriptional regulation, prognostic, and therapeutic perspective

A review on fumonisin B1-induced mitochondrial dysfunction and its impact on mitophagy and DNA methylation

Fumonisin B1 (FB1) is a food-borne mycotoxin synthesized by Fusarium verticillioides and has been identified as a group 2B carcinogen. Recent research shows that the mitochondria and DNA in cells are targets of FB1. Mitophagy is a form of autophagy that functions to break down impaired mitochondria to preserve the overall functionality of the cell. DNA methylation is an epigenetic process that involves the enzymatic transfer of methyl groups from S-adenosylmethionine (SAM) to the C-5 region of the DNA cytosine ring by DNA methyltransferases (DNMTs). DNA methylation plays a key role in maintaining DNA integrity and FB1 disrupts DNA methylation via FB1-induced folate deficiency. However, there is limited research available on the impact of FB1 on mitophagy as well as FB1-induced oxidative stress and its influence on DNA methylation regulation. In this review, we aim to combine and summarize the current information on FB1-induced mitochondrial dysfunction, its impact on mitophagy as well as its DNA methylation effects.

Global DNA methylation differences involving germline structural variation impact gene expression in pediatric brain tumors

The extent of genetic variation and its influence on gene expression across multiple tissue and cellular contexts is still being characterized, with germline Structural Variants (SVs) being historically understudied. DNA methylation also represents a component of normal germline variation across individuals. Here, we combine germline SVs (by short-read sequencing) with tumor DNA methylation across 1292 pediatric brain tumor patients. For thousands of methylation probes for CpG Islands (CGIs) or enhancers, rare and common SV breakpoints upstream or downstream associate with differential methylation in tumors spanning various histologic types, a significant subset involving genes with SV-associated differential expression. Cancer predisposition genes involving SV-associated differential methylation and expression include MSH2, RSPA, and PALB2. SV breakpoints falling within CGIs or histone marks H3K36me3 or H3K9me3 associate with differential CGI methylation. Genes with SVs and CGI methylation associated with patient survival include POLD4. Our results capture a class of normal phenotypic variation having disease implications.

Aberrant DNMT1-mediated DACH1 methylation is associated with colorectal adenoma-to-carcinoma progression

Colorectal cancer (CRC) remains a major contributor to cancer-related morbidity and mortality. While Dachshund homolog 1 (DACH1) was recognized as a critical regulator in cancer progression, its role in promoting or suppressing tumor development remains a subject of ongoing debate. This study aimed to elucidate the role of DACH1 in CRC progression and its underlying regulation mechanisms. The expression levels of Methyltransferase 1 (DNMT1) and DACH1, as well as its methylation status were assessed through a combination of TCGA data analysis and experimental validation using immunohistochemistry, PCR, methylation-specific PCR, and bisulfite sequencing RCR on 120 clinical samples, comprising normal mucosa, adenomas, and adenocarcinomas. The relationships among them were evaluated using Pearson or Spearman correlation analysis. The associations between the DACH1 and DNMT1 levels and clinicopathological parameters were examined to determine their clinical relevance. A progressive decrease in DACH1 expression and a concomitant increase in DACH1 promoter methylation and DNMT1 expression were observed from normal mucosa to adenoma and adenocarcinoma tissues. Higher DNMT1 expression and lower DACH1 expression were associated with poorer clinical outcomes, including worse tumor differentiation, lymphatic metastasis, and advanced tumor stages. Paired analysis of tissues from the same patient further validated their inverse expression patterns during CRC progression. DNMT1-mediated DACH1 epigenetic silencing plays a critical role in CRC progression, suggesting that the DNMT1-DACH1 regulatory axis may serve as a potential biomarker and therapeutic target in CRC.

Methionine Dependency and Restriction in Cancer: Exploring the Pathogenic Function and Therapeutic Potential

Methionine, an essential amino acid, is obtained by dietary intake to fulfill the requirements of our bodies. Accumulating evidence indicates that methionine plays a pivotal role in various biological processes, including protein synthesis, energy metabolism, redox balance maintenance, and methylation modifications. Numerous advances underscore the heightened dependence of cancer cells on methionine, which is a significant factor in cancer pathogenesis and development. A profound comprehension of the intricate relationship between methionine metabolism and tumorigenesis is imperative for advancing the field of cancer therapeutics. Herein, we delve into the role of methionine in supporting cancer growth, the impact on epigenetic modifications, and the interaction between methionine and the tumor microenvironment. Additionally, we provide insights into the development of various methionine-targeted therapy strategies. This paper summarizes the current state of research and its translational potential, emphasizing the challenges and opportunities associated with harnessing methionine dependence as a target for innovative cancer treatments.

A Hitchhiker's Guide to long-read genomic analysis

Over the past decade, long-read sequencing has evolved into a pivotal technology for uncovering the hidden and complex regions of the genome. Significant cost efficiency, scalability, and accuracy advancements have driven this evolution. Concurrently, novel analytical methods have emerged to harness the full potential of long reads. These advancements have enabled milestones such as the first fully completed human genome, enhanced identification and understanding of complex genomic variants, and deeper insights into the interplay between epigenetics and genomic variation. This mini-review provides a comprehensive overview of the latest developments in long-read DNA sequencing analysis, encompassing reference-based and de novo assembly approaches. We explore the entire workflow, from initial data processing to variant calling and annotation, focusing on how these methods improve our ability to interpret a wide array of genomic variants. Additionally, we discuss the current challenges, limitations, and future directions in the field, offering a detailed examination of the state-of-the-art bioinformatics methods for long-read sequencing.

Ultraperformance Liquid Chromatography Tandem Mass Spectrometry Assay of DNA Cytosine Methylation Excretion from Biological Systems

Measuring DNA cytosine methylation excretion presents challenges because methylated cytosine species are released in various forms including free molecules and those bound in DNA fragments. Herein, we report a novel UPLC-MS/MS method that allows the quantification of both free and DNA fragment-bound forms of methylated cytosine species excreted, providing total amounts for each. Cell culture medium and genomic DNA isolated from cells are analyzed to quantify methylated cytosine species. In genomic DNA isolated from MDA-MB-231 breast cancer cells, 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) are detected at 5.1% and 0.07% of total cytosine residues, respectively. In the cell culture medium, only 5hmC is detected at a low level (ca. 7 nM). However, in two normal cell lines (i.e., primary mouse lung epithelial cells and HEK293 kidney cells) 5mC, 5-methylcytidine, and 2'-oxymethylcytidine (but no 5hmC) are found present in cell culture medium at concentrations ranging from 10 to 320 nM. Further, it is observed for the first time that treating MDA-MB-231 cells with carboplatin significantly increases the 5hmC level in the culture medium, indicating a carboplatin-boosted DNA cytosine methylation excretion from cancer cells.

TPPP3, a Good Prognostic Indicator, Suppresses Cell Proliferation and Migration in OSCC

INTRODUCTION AND AIMS

Oral squamous cell carcinoma (OSCC) is one of the most prevalent malignancy of the head and neck. Early diagnosis of OSCC is difficult and the prognosis has not improved significantly. This study aims to explore the role of tubulin polymerisation promoting protein 3 (TPPP3) in the occurrence and development of OSCC and discover new diagnostic and prognostic markers for OSCC.

METHODS

Using UALCAN, GEPIA, western blot, and quantitative real-time polymerase chain reaction, we studied TPPP3 expression and its relationship with tumour stage. Then, we detected the effect of TPPP3 on OSCC biological functions by CCK-8 and cell scratch assays, as well as correlations between TPPP3 expression and survival of different kinds of head and neck squamous cell carcinoma (HNSC) patients through Kaplan-Meier plotter. Besides, we explored coexpressed genes associated with TPPP3 in HNSC using LinkedOmics and protein-protein interaction networks of TPPP3 using STRING and Cytoscape. Furthermore, we explored possible molecular mechanisms that TPPP3 functions in HNSC using UALCAN, Kaplan-Meier plotter, and TIMER. Finally, we analysed promoter methylation level by UALCAN and mutation by cBioPortal of TPPP3 in HNSC.

RESULTS

TPPP3 was less expressed in OSCC. The TPPP3 expression level was negatively correlated with tumour stage. Furthermore, TPPP3 significantly inhibited OSCC proliferation and migration. Besides, TPPP3 high expression was significantly associated with good prognosis in different kinds of HNSC patients. Additionally, TPPP3 may regulate the occurrence and development of OSCC through the PALMD/PI3K pathway. TPPP3 methylation level in HNSC decreased. Finally, we found that TPPP3 genetic alteration was involved in TPPP3 mRNA expression change in HNSC.

CONCLUSION

TPPP3 functions as a tumour suppressor in OSCC and is associated with good prognosis in HNSC patients. TPPP3 can be used as a potential biomarker for prognosis and diagnosis of OSCC.

CLINICAL RELEVANCE

TPPP3 can be used as a potential biomarker for prognosis and diagnosis of OSCC in clinical practice.

Harnessing the Role of ESR1 in Breast Cancer: Correlation with microRNA, lncRNA, and Methylation

Breast cancer (BC) is a multifactorial condition and it primarily expresses the estrogen receptor α (ERα) that is encoded by the gene estrogen receptor 1 (ESR1), which modulates estrogen signaling. ESR1, by facilitating estrogen overproduction, plays an indispensable role in the progression and survival of the majority of BCs. To obtain molecular insights into these phenomena, we analyzed The Cancer Genome Atlas (TCGA) breast invasive carcinoma (BRCA) RNA-Seq datasets for the expression of ESR1 and its correlation to microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), along with its methylation patterns. Regulation of ESR1 was also assessed with a total of 43 cancerous and non-cancerous breast cell lines. Analyses of both TCGA BRCA and breast cell line RNA-Seq data revealed that specific lncRNAs, i.e., MEG3, BIK, MLL, and FAS are negatively correlated with the ESR1, in which PARP1 demonstrates a positive association. Additionally, both miR-30a and miR-145 showed negative correlations with the ESR1 expression. Of the 54 ESR1 methylation loci analyzed, the majority of them exhibited a negative correlation with the ESR1 expression, highlighting a potentially modifiable regulatory mechanism. These findings underscore the complex regulatory events influencing ESR1 expression and its interaction with diverse signaling pathways, demonstrating novel insights into breast pathogenesis and its potential therapeutics.

Exploring extrahepatic metastasis of hepatocellular carcinoma based on methylation driver genes and establishing a prognostic model for hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC), theseventh most common cancer worldwide, is characterized by a high mortality rate, advanced diagnosis, and susceptibility to extrahepatic metastasis. Numerous studies have shown that DNA methylation is a crucial factor in epigenetic modifications and regulation of carcinogenesis.

METHODS

HCC patient data were sourced from the TCGA dataset as a training set, while GSE116174 was used as an external validation set for verification. Differential methylation and expression analyses were performed on HCC samples with and without extrahepatic metastasis. In the intersecting genes, the relationship between methylation and expression levels of the intersecting genes was analyzed. Genes with a correlation coefficient≥|0.30| and P<0.05 were identified as methylation driver genes. Cox regression analysis was conducted to identify genes associated with HCC prognosis and establish a risk score. Subsequently, a prognostic model was established and validated using Cox regression analysis incorporating the risk score and other clinical factors. Using immunohistochemistry to evaluate the expression of DHX58 and EIF5A2 in HCC tissues with and without extrahepatic metastasis. Immunoinfiltration analysis was performed on the HCC samples using CIBERSORT.

RESULTS

Our research identified eight methylation driver genes for HCC extrahepatic metastasis, of which two genes (DHX58 and EIF5A2) were associated with HCC patient prognosis. And the study further constructed and validated the risk score and prognostic model. Immunoinfiltration analysis showed that M0 macrophage abundance was correlated with the prognosis of HCC patients. Immunohistochemistry revealed differences in DHX58 and EIF5A2 expression between HCC tissues with and without extrahepatic metastasis, consistent with our bioinformatics findings.

An integrative analysis to identify pancancer epigenetic biomarkers

Integrating and analyzing the pancancer data collected from different experiments is crucial for gaining insights into the common mechanisms in the molecular level underlying the development and progression of cancers. Epigenetic study of the pancancer data can provide promising results in biomarker discovery. The genes that are epigenetically dysregulated in different cancers are powerful biomarkers for drug-related studies. This paper identifies the genes having altered expression due to aberrant methylation patterns using differential analysis of TCGA pancancer data of 12 different cancers. We identified a comprehensive set of 115 epigenetic biomarker genes out of which 106 genes having pancancer properties. The correlation analysis, gene set enrichment, protein-protein interaction analysis, pancancer characteristics analysis, and diagnostic modeling were performed on these biomarkers to illustrate the power of this signature and found to be important in different molecular operations related to cancer. An accuracy of 97.56% was obtained on TCGA pancancer gene expression dataset for predicting the binary class tumor or normal. The source code and dataset of this work are available at https://github.com/panchamisuneeth/EpiPanCan.git.

Expression, DNA methylation pattern and transcription factor EPB41L3 in gastric cancer: a study of 262 cases

PURPOSE

DNA methylation prominently inactivates tumor suppressor genes and facilitates oncogenesis. Previously, we delineated a chromosome 18 deletion encompassing the erythrocyte membrane protein band 4.1-like 3 (EPB41L3) gene, a progenitor for the tumor suppressor that is differentially expressed in adenocarcinoma of the lung-1 (DAL-1) in gastric cancer (GC).

METHODS

Our current investigation aimed to elucidate EPB41L3 expression and methylation in GC, identify regulatory transcription factors, and identify affected downstream pathways. Immunohistochemistry demonstrated that DAL-1 expression is markedly reduced in GC tissues, with its downregulation serving as an independent prognostic marker.

RESULTS

High-throughput bisulfite sequencing of 70 GC patient tissue pairs revealed that higher methylation of non-CpGs in the EPB41L3 promoter was correlated with more malignant tumor progression and higher-grade tissue classification. Such hypermethylation was shown to diminish DAL-1 expression, thus contributing to the malignancy of GC phenotypes. The DNA methyltransferase inhibitor 5-aza-2'-deoxycytidine (5-aza-CdR) was found to partially restore DAL-1 expression. Moreover, direct binding of the transcription factor CDC5L to the upstream region of the EPB41L3 promoter was identified via chromosome immunoprecipitation (ChIP)-qPCR and luciferase reporter assays. Immunohistochemistry confirmed the positive correlation between CDC5L and DAL-1 protein levels. Subsequent RNA-seq analysis revealed that DAL-1 significantly influences the extracellular matrix and space-related pathways. GC cell RNA-seq post-5-Aza-CdR treatment and single-cell RNA-seq data of GC tissues confirmed the upregulation of AREG and COL17A1, pivotal tumor suppressors, in response to EPB41L3 demethylation or overexpression in GC epithelial cells.

CONCLUSION

In conclusion, this study elucidates the association between non-CpG methylation of EPB41L3 and GC progression and identifies the key transcription factors and downstream molecules involved. These findings enhance our understanding of the role of EPB41L3 in gastric cancer and provide a solid theoretical foundation for future research and potential clinical applications.

The role of transcriptional and epigenetic modifications in astrogliogenesis

Astrocytes are widely distributed and play a critical role in the central nervous system (CNS) of the human brain. During the development of CNS, astrocytes provide essential nutritional and supportive functions for neural cells and are involved in their metabolism and pathological processes. Despite the numerous studies that have reported on the regulation of astrogliogenesis at the transcriptional and epigenetic levels, there is a paucity of literature that provides a comprehensive summary of the key factors influencing this process. In this review, we analyzed the impact of transcription factors (e.g., NFI, JAK/STAT, BMP, and Ngn2), DNA methylation, histone acetylation, and noncoding RNA on astrocyte behavior and the regulation of astrogliogenesis, hope it enhances our comprehension of the mechanisms underlying astrogliogenesis and offers a theoretical foundation for the treatment of patients with neurological diseases.

Epigenetic modulation of cytokine expression in Mycobacterium tuberculosis-infected monocyte derived-dendritic cells: Implications for tuberculosis diagnosis

BACKGROUND

To delineate alterations in DNA methylation at high resolution within the genomic profile of monocyte-derived-dendritic cells (mo-DCs) in connection with Mycobacterium tuberculosis (MTB) infection, with particular emphasis on pro/ anti-inflammatory genes.

METHODS

In the context of this investigation, mo-DCs were infected by various active strains of MTB (Rifampicin-resistant [RIFR], H37Rv, multidrug-resistant [MDR], and extensively drug-resistant [XDR]). Subsequently, the pro/anti-inflammatory hub gene expression levels within the IL-6, IL-12, IFN-γ, IL-1β, TNF-α, and IL-10 pathways were evaluated employing real-time reverse transcription-polymerase chain reaction (RT-PCR). Additionally, the effects of MTB infection on mo-DC protein expression were examined through western blot analysis. The methylation status (%) of TNF-α and IL-10 was considered through Methylation Sensitive-High Resolution Melting (MS-HRM).

RESULTS

The results revealed an up-regulation of all pro-inflammatory genes among all groups, with TNF-α exhibiting the highest expression level. Conversely, the anti-inflammatory gene (IL-10) showed a down-regulated expression level. Furthermore, the DNA methylation status (%) of TNF-α decreased significantly among all the groups (P < 0.001), although there were no notable distinctions in the DNA methylation status (%) of IL-10 when compared to the control group (P > 0.05).

CONCLUSION

MTB infection induces DNA methylation changes in mo-DCs. The hypo-methylation of TNF-α may induce the up-regulation of this gene. This correlation revealed that the more resistant the MTB strain (XDR) is, the lower the methylation status (%) in the TNF-α gene.

Genome-Wide Methylation Analysis in Two Wild-Type Non-Small Cell Lung Cancer Subgroups with Negative and High PD-L1 Expression

We conducted a pilot study to analyze the differential methylation status of 20 primary acinar adenocarcinomas of the lungs. These adenocarcinomas had to be wild type in mutation analysis and had either high (TPS > 50%; n = 10) or negative (TPS < 1%; n = 10) PD-L1 status to be integrated into our study. To examine the methylation of 866,895 specific sites, we utilized the Illumina Infinium EPIC bead chip array. Both hypermethylation and hypomethylation play significant roles in tumor development, progression, and metastasis. They also impact the formation of the tumor microenvironment, which plays a decisive role in tumor differentiation, epigenetics, dissemination, and immune evasion. The gained methylation patterns were correlated with PD-L1 expression. Our analysis has identified distinct methylation patterns in lung adenocarcinomas with high and negative PD-L1 expression. After analyzing the correlation between the methylation results of genes and promoters with their pathobiology, we found that tumors with high expression of PD-L1 tend to exhibit oncogenic effects through hypermethylation. On the other hand, tumors with negative PD-L1 expression show loss of their suppressor functions through hypomethylation. The suppressor functions of hypermethylated genes and promoters are ineffective compared to simultaneously activated dominant oncogenic mechanisms. The tumor microenvironment supports tumor growth in both groups.

Importance of DNA nanotechnology for DNA methyltransferases in biosensing assays

DNA methylation is the process by which specific bases on a DNA sequence acquire methyl groups under the catalytic action of DNA methyltransferases (DNMT). Abnormal changes in the function of DNMT are important markers for cancers and other diseases; therefore, the detection of DNMT and the selection of its inhibitors are critical to biomedical research and clinical practice. DNA molecules can undergo intermolecular assembly to produce functional aggregates because of their inherently stable physical and chemical properties and unique structures. Conventional DNMT detection methods are cumbersome and complicated processes; therefore, it is necessary to develop biosensing technology based on the assembly of DNA nanostructures to achieve rapid analysis, simple operation, and high sensitivity. The design of the relevant program has been employed in life science, anticancer drug screening, and clinical diagnostics. In this review, we explore how DNA assembly, including 2D techniques like hybridization chain reaction (HCR), rolling circle amplification (RCA), catalytic hairpin assembly (CHA), and exponential isothermal amplified strand displacement reaction (EXPAR), as well as 3D structures such as DNA tetrahedra, G-quadruplexes, DNA hydrogels, and DNA origami, enhances DNMT detection. We highlight the benefits of these DNA nanostructure-based biosensing technologies for clinical use and critically examine the challenges of standardizing these methods. We aim to provide reference values for the application of these techniques in DNMT analysis and early cancer diagnosis and treatment, and to alert researchers to challenges in clinical application.

Epigenetic regulation of tumor-immune symbiosis in glioma

Glioma is a type of aggressive and incurable brain tumor. Patients with glioma are highly resistant to all types of therapies, including immunotherapies. Epigenetic reprogramming is a key molecular hallmark in tumors across cancer types, including glioma. Mounting evidence highlights a pivotal role of epigenetic regulation in shaping tumor biology and therapeutic responses through mechanisms involving both glioma cells and immune cells, as well as their symbiotic interactions in the tumor microenvironment (TME). In this review, we discuss the molecular mechanisms of epigenetic regulation that impacts glioma cell biology and tumor immunity in both a cell-autonomous and non-cell-autonomous manner. Moreover, we provide an overview of potential therapeutic approaches that can disrupt epigenetic-regulated tumor-immune symbiosis in the glioma TME.

Genome-wide DNA methylation changes in Oryzias melastigma embryos exposed to the water accommodated fraction of crude oil

The water accommodated fraction (WAF) of crude oil exerts considerable impacts on marine fish during embryonic stage. Clarifying changes in epigenetic modifications is helpful for understanding the molecular mechanism underlying the toxicity of embryonic WAF exposure. The aim of this study was to explore genome-wide DNA methylation changes in Oryzias melastigma embryos after exposure to the nominal total petroleum hydrocarbon concentration of 500 μg/L in WAF for 7 days. Whole-genome bisulfite sequencing revealed that 8.47 % and 8.46 % of all the genomic C sites were methylated in the control and WAF-exposed groups, respectively. Among the three sequence contexts, methylated CG site had the largest number in both the two groups. The sequence preferences of nearby methylated cytosines were consistent between the two groups. A total of 4798 differentially methylated regions (DMRs) were identified in the promoter region. Furthermore, Gene Ontology analysis revealed that DMR-related genes were enriched mainly for functions related to development and nervous system. Additionally, the Kyoto Encyclopedia of Genes and Genomes pathways enriched in DMR-related genes were related to nervous system and endocrine system. These novel findings provide comprehensive insights into the genome-wide DNA methylation landscape of O. melastigma following embryonic WAF exposure, shedding light on the epigenetic regulatory mechanisms underlying WAF-induced toxicity.

E3 ubiquitin ligase FBXW11 as a novel inflammatory biomarker is associated with immune infiltration and NF-κB pathway activation in pancreatitis and pancreatic cancer

BACKGROUND

Pancreatic cancer (pancreatic ductal adenocarcinoma, PDAC) is an aggressive disease with an overall poor prognosis. Pancreatitis is a major risk factor for the development of PDAC. Due to the lack of reliable and accurate biomarkers, the diagnosis, treatment, and prognosis of PDAC face great challenges. It is of great significance to elucidate the pathogenesis of PDAC and explore novel inflammatory biomarkers.

METHODS

We identified E3 ubiquitin ligases associated with pancreatic inflammation by combining multiple GEO datasets and UbiNet 2.0, and integrating the WGCNA algorithm and Limma R package. A risk score model for PDAC patients was established by using LASSO regression. We investigated the correlation between FBXW11 and immune cell infiltration using CIBERSORT, mMCP-counter, ImmuCellAI-mouse, QUANTISEQ, and TIMER algorithms, based on GEO, ArrayExpress, and TCGA datasets. We used Ubibrowser 2.0 to predict potential substrates for FBXW11. WikiPathway, MSigDB Hallmark, and Elsevier pathway analysis of FBXW11 key substrates were also performed using the EnrichR database. We detected protein expression through IHC, immunofluorescence, and western blot in the cerulein-induced acute pancreatitis mouse model.

RESULTS

We first identified that FBXW11 exhibited a clear tendency to gradually increase in normal, pancreatitis, and PDAC patients. The validation analysis revealed that the FBXW11 protein exhibited significantly high expression in cerulein-induced acute pancreatitis mice, with its distribution primarily observed in the cytoplasm. Simultaneously, we developed a risk model utilizing the genes associated with FBXW11 to forecast the outcome of patients with PDAC and the likelihood of pancreatitis advancing to pancreatic cancer. Functional analysis showed that FBXW11, as a novel inflammatory biomarker, had a significant positive correlation with macrophage infiltration and the NF-κB signaling pathway. Finally, the western blot assay of the NF-κB signaling pathway in pancreatic tissues demonstrated that high activation of NF-κB was correlated with high expression of FBXW11.

CONCLUSIONS

Our research not only provides evidence for FBXW11 as a novel inflammatory biomarker but also provides new insights into the research and clinical treatment of pancreatic cancer.

Research progress on the regulatory mechanisms of FOXC1 expression in cancers and its role in drug resistance

The Forkhead box C1 (FOXC1) transcription factor is an important member of the FOX family. After initially being identified in triple-negative breast cancer (TNBC) with significant oncogenic function, FOXC1 was subsequently demonstrated to be involved in the development of more than 16 types of cancers. In recent years, increasing studies have focused on the deregulatory mechanisms of FOXC1 expression and revealed that FOXC1 expression was regulated at multiple levels including transcriptional regulation, post-transcription regulation and post-translational modification. Moreover, dysregulation of FOXC1 is also implicated in drug resistance in various types of cancer, especially in breast cancer, which further emphasizes the translational and clinical significance of FOXC1 as a therapeutic target in cancer treatment. This review summarizes recent findings on mechanisms of FOXC1 dysregulation in cancers and its role in chemoresistance, which will help to better understand the oncogenic role of FOXC1, overcome FOXC1-mediated drug resistance and develop targeted therapy for FOXC1 in cancers.

Hypermethylation and low expression of FANCC involved in multi-walled carbon nanotube-induced toxicity on ARPE-19 cells

Multi-walled carbon nanotube (MWCNT) exposure was observed to cause damages on the viability of ocular cells, however, the underlying mechanisms remain not well understood. Epigenetic alterations that regulate gene expression have been identified as a major responsiveness to environmental challenge. Thus, the aim of this study was to screen methylation-regulated genes involved in MWCNT exposure. The Illumina Human Methylation 850 K array was employed to determine the genome-wide DNA methylation profile of human retinal pigment epithelial cell line (ARPE-19) exposed to 50% inhibition concentration of MWCNTs (100 μg/ml) for 24 h or without (n = 3 for each group). Then, the transcriptome data obtained by high-throughput RNA sequencing previously were integrated with DNA methylome to identify the overlapped genes. As a result, the integrative bioinformatics analysis identified that compared with controls, FA complementation group C (FANCC) was hypermethylated and downregulated in MWCNT-exposed ARPE-19 cells. Quantitative real-time polymerase chain reaction analysis confirmed the mRNA expression level of FANCC was significantly decreased following MWCNT treatment and the addition of DNA methylation inhibitor 5-Aza-deoxycytidine (10 μM) reversed this decrease. Pyrosequencing analysis further validated the hypermethylation status at the 5'-untranslated promoter region of FANCC (cg14583550) in MWCNT-exposed ARPE-19 cells. Protein-protein interaction network and function analyses predicted that FANCC may contribute to MWCNT-induced cytotoxicity by interacting with heat shock protein 90 beta family member 1 and then upregulating cytokine interleukin-6 and apoptosis biomarker caspase 3. In conclusion, the present study links the epigenetic modification of FANCC with the pathogenesis of MWCNT-induced retinal toxicity.

The relationship between DNA methyltransferase 3B (DNMT3B) and miR 124-3pa expressions in bladder cancer tissues

BACKGROUND

Cancer bladder is the most common malignant tumor affecting the urinary tract. Genetic alterations are tightly associated with the development of cancer bladder. MicroRNAs (miRNA) are small, noncoding single-stranded RNA molecules that have been linked to bladder cancer. miR-124-3pa exhibits altered expression in various types of human malignancies. DNA methyltransferase 3B (DNMT3B) is responsible for de novo DNA methylation which is a fundamental epigenetic process in carcinogenesis. This work was performed to study the expression of DNMT3B and miR 124-3pa in bladder cancer tissues, and investigate their significance in the diagnosis and prognosis of the disease.

SUBJECTS & METHODS

This case-control study included one hundred and six tissue samples of patients with primary urothelial bladder cancer. The tissues were separated into two parts. The first part was immediately frozen and kept at - 80 °C for total RNA extraction with subsequent detection of miR 124-3pa and DNMT3B expressions. The other part was preserved in formalin solution for histopathological examination.

RESULTS

There was a highly statistically significant difference between the cancerous and the normal tissues as regarding miRNA-124-3pa and DNMT3B expression (P < 0.001) for each. Also, there was a highly statistically significant strong negative correlation between miRNA-124-3pa and DNMT3B expression (r=-0.750, P < 0.001). The combined performance of miR-124-3pa and DNMT3B revealed that the cutoff point of ≥ 3.3 can be used as a predictor of the presence of cancer bladder with sensitivity of 98.1% and specificity of 80%.

CONCLUSION

miR-124-3pa and DNMT3B can be used as predictors of the presence of cancer bladder.

Upregulation of RSPO3 via targeted promoter DNA demethylation inhibits the progression of cholangiocarcinoma

BACKGROUND

Cholangiocarcinoma (CCA) refers to a collection of malignant tumors that develop from the biliary epithelium. Extensive clinical evidence and epidemiological observations indicate a concerning increase in both the incidence and mortality rates of CCA. Surgical resection is currently the sole available cure for CCA. However, it is unfortunate that only a fraction of patients has access to surgery at the time of diagnosis. Moreover, there is a high incidence of cancer recurrence after resection, and systemic treatments have limited efficacy. Therefore, the identification of novel biomarkers for CCA-targeted molecular therapy remains a crucial task in oncology research.

RESULTS

Our study demonstrated that low expression of RSPO3 was associated with poorer survival rates in patients with CCA. We found that the RSPO3 promoter DNA was hypermethylated in CCA, which was correlated with the low expression of RSPO3. The expression of RSPO3 was influenced by the balance between the DNA methyltransferase DNMT3a and the DNA demethylase TET1 in CCA. In vitro and in vivo experiments showed that targeting RSPO3 promoter DNA methylation using dCas9DNMT3a promoted tumorigenicity of CCA, while targeted RSPO3 promoter DNA demethylation using dCas9TET1CD inhibited CCA tumorigenicity. Additionally, in our primary CCA model, knockdown of Rspo3 promoted CCA progression, whereas overexpression of Rspo3 inhibited CCA progression.

CONCLUSIONS

Our findings suggest that increased methylation and decreased expression of RSPO3 may indicate a poor prognosis in CCA. Restoring RSPO3 expression by targeting promoter DNA demethylation could offer insights for precise treatment of CCA.

The Significant Role of microRNAs in Gliomas Angiogenesis: A Particular Focus on Molecular Mechanisms and Opportunities for Clinical Application

MicroRNAs (miRNAs) are non-coding RNAs with only 20-22 nucleic acids that inhibit gene transcription and translation by binding to mRNA. MiRNAs have a diverse set of target genes and can alter most physiological processes, including cell cycle checkpoints, cell survival, and cell death mechanisms, affecting the growth, development, and invasion of various cancers, including gliomas. So optimum management of miRNA expression is essential for preserving a normal biological environment. Due to their small size, stability, and capability of specifically targeting oncogenes, miRNAs have emerged as a promising marker and new biopharmaceutical targeted therapy for glioma patients. This review focuses on the most common miRNAs associated with gliomagenesis and development by controlling glioma-determining markers such as angiogenesis. We also summarized the recent research about miRNA effects on signaling pathways, their mechanistic role and cellular targets in the development of gliomas angiogenesis. Strategies for miRNA-based therapeutic targets, as well as limitations in clinical applications, are also discussed.

Causal associations of Sjögren's syndrome with cancers: a two-sample Mendelian randomization study

BACKGROUND

Several observational studies have explored the associations between Sjögren's syndrome (SS) and certain cancers. Nevertheless, the causal relationships remain unclear. Mendelian randomization (MR) method was used to investigate the causality between SS and different types of cancers.

METHODS

We conducted the two-sample Mendelian randomization with the public genome-wide association studies (GWASs) summary statistics in European population to evaluate the causality between SS and nine types of cancers. The sample size varies from 1080 to 372,373. The inverse variance weighted (IVW) method was used to estimate the causal effects. A Bonferroni-corrected threshold of P < 0.0031 was considered significant, and P value between 0.0031 and 0.05 was considered to be suggestive of an association. Sensitivity analysis was performed to validate the causality. Moreover, additional analysis was used to assess the associations between SS and well-accepted risk factors of cancers.

RESULTS

After correcting the heterogeneity and horizontal pleiotropy, the results indicated that patients with SS were significantly associated with an increased risk of lymphomas (odds ratio [OR] = 1.0010, 95% confidence interval [CI]: 1.0005-1.0015, P = 0.0002) and reduced risks of prostate cancer (OR = 0.9972, 95% CI: 0.9960-0.9985, P = 2.45 × 10-5) and endometrial cancer (OR = 0.9414, 95% CI: 0.9158-0.9676, P = 1.65 × 10-5). Suggestive associations were found in liver and bile duct cancer (OR = 0.9999, 95% CI: 0.9997-1.0000, P = 0.0291) and cancer of urinary tract (OR = 0.9996, 95% CI: 0.9992-1.0000, P = 0.0281). No causal effect of SS on other cancer types was detected. Additional MR analysis indicated that causal effects between SS and cancers were not mediated by the well-accepted risk factors of cancers. No evidence of the causal relationship was observed for cancers on SS.

CONCLUSIONS

SS had significant causal relationships with lymphomas, prostate cancer, and endometrial cancer, and suggestive evidence of association was found in liver and bile duct cancer and cancer of urinary tract, indicating that SS may play a vital role in the incidence of these malignancies.