Methylation Levels Research Articles

A Pan-Cancer Analysis of GAPDH as a Common Biomarker for Various Cancers

Background: The present study aimed to investigate the expression level of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and explore its prognostic value across 24 different human cancers. This investigation was conducted using comprehensive bioinformatics and in vitro approaches that involved multiple layers of analysis. Methods: GAPDH expression and methylation levels were assessed via bioinformatics tools and validated using cell lines through RNA sequencing and targeted bisulfite sequencing analyses. The potential prognostic significance of GAPDH was evaluated through the use of a Kaplan–Meier plotter. Additionally, cBioPortal was employed to investigate genetic alterations associated with this gene. Pathway analysis was conducted using DAVID. Furthermore, a correlation analysis between GAPDH expression and CD8+ T immune cells was performed using TIMER and CDT. Lastly, a gene-drug interaction network analysis was conducted using Cytoscape to examine the relationship between GAPDH and drugs. Results: The GAPDH was found commonly up-regulated in 24 types of human cancers and its up-regulation was significantly correlated with the poor relapse-free survival (RFS) and overall survival (OS) of BLCA, CESC, HNSC, KIRP, LIHC, and LUAD. This implies that GAPDH plays a significant role in the development of these cancers. The GAPDH up-regulation was also noticed to be associated with the different clinicopathological features of BLCA, CESC, HNSC, KIRP, LIHC, and LUAD patients. Pathway analysis has shown GAPDH involvement in different diverse pathways. Furthermore, notable correlations were observed between the expression of GAPDH and its promoter methylation level, genetic alterations, as well as the level of CD8+ T immune cells. Moreover, we identified significant regulatory drugs targeting GAPDH that have the potential to modulate its expression and potentially prevent conditions such as BLCA, CESC, HNSC, KIRP, LIHC, and LUAD. Conclusion: Based on our findings, GAPDH emerged as a promising diagnostic and prognostic biomarker for BLCA, CESC, HNSC, KIRP, LIHC, and LUAD.

HBI: a hierarchical Bayesian interaction model to estimate cell-type-specific methylation quantitative trait loci incorporating priors from cell-sorted bisulfite sequencing data

Methylation quantitative trait loci (meQTLs) quantify the effects of genetic variants on DNA methylation levels. However, most published studies utilize bulk methylation datasets composed of different cell types and limit our understanding of cell-type-specific methylation regulation. We propose a hierarchical Bayesian interaction (HBI) model to infer cell-type-specific meQTLs, which integrates a large-scale bulk methylation data and a small-scale cell-type-specific methylation data. Through simulations, we show that HBI enhances the estimation of cell-type-specific meQTLs. In real data analyses, we demonstrate that HBI can further improve the functional annotation of genetic variants and identify biologically relevant cell types for complex traits.

A Comparison of DNA-Methylation during Protoplast Culture of Ponkan Mandarin (Citrus reticulata Blanco) and Tobacco (Nicotiana tabacum L.)

The epigenetic variation in protoplast regeneration is a topic that has attracted interest recently. To elucidate the role of DNA methylation in the regeneration of protoplasts from the ponkan (Citrus reticulata), this study employs the methylation-sensitive amplification polymorphism (MSAP) molecular marker technique to analyze changes in DNA methylation levels and patterns during the isolation and culture of protoplasts from ponkan and tobacco. Additionally, differential DNA methylation fragments are cloned, sequenced, and subjected to bioinformatics analysis. The results reveal that, for non-regenerable ponkan mesophyll protoplasts, DNA methylation levels increase by 3.98% after isolation and then show a trend of initial decrease followed by an increase during culture. In contrast, for regenerable ponkan callus protoplasts and tobacco mesophyll protoplasts, DNA methylation levels decrease by 1.75% and 2.33%, respectively, after isolation. During culture, the DNA methylation levels of ponkan callus protoplasts first increase and then decrease, while those of tobacco mesophyll protoplasts show an opposite trend of initial decrease followed by an increase. Regarding DNA methylation patterns, ponkan mesophyll protoplasts exhibit primarily hypermethylation changes accompanied by a small amount of gene demethylation, whereas ponkan callus protoplasts are dominated by demethylation changes with some genes undergoing hypermethylation. The methylation exhibits dynamic changes in protoplast isolation regeneration. By recovering, cloning, sequencing, and performing BLASTn alignment analysis on specific methylation modification sites in the ponkan, 18 DNA sequences with high homology are identified which are found to be involved in various biological functions, thereby establishing a foundational basis for genetic editing in protoplasts.

Retinol-binding protein type 1 expression predicts poor prognosis in head and neck squamous cell carcinoma

BackgroundHead and neck squamous cell carcinoma (HNSCC) is the sixth most prevalent malignancy worldwide, with high incidence and poor survival rates. RBP1 is highly expressed in several kinds of cancer and plays a potential prognostic factor. However, the relationship between RBP1 and HNSCC were analyzed based on The Cancer Genome Atlas (TCGA) database.Materials and methodsRBP1 expression and clinical information were obtained from the Cancer Genome Atlas (TCGA) database. Tumor tissue and adjacent normal tissue of 6 HNSCC patients were collected to analyze the RBP1 mRNA expression level by quantitative PCR. Cox regression analysis was used to evaluate the prognostic values of RBP1 and clinical data in HNSCC. A nomogram was also established to predict the impact of RBP1 on prognosis based on Cox multivariate results. The methylation level of RBP1 in HNSC and its prognosis were analyzed in UALACN and MethSurv. Finally, the potential biological functions of RBP1 were investigated using gene set enrichment analysis (GSEA) and single sample GSEA (ssGSEA).ResultsThe mRNA expression levels of RBP1 were highly expressed in HNSCC tissue. The Cox analyses demonstrate that highly-expressed RBP1 is an independent prognosis marker(P < 0.05). ROC curve analysis showed that performances of RBP1 (area under the ROC curve: 0.887, sensitivity: 84.1%, specificity: 79.9%). The methylation was increased in HNSCC patients compared with normal subjects(P < 0.05) and was associated with better prognosis at sites cg06208339, cg12298268, cg12497564, cg15288618, cg20532370, cg23448348. Additionally, RBP1 expression is mildly associated with immune cell infiltration and immunological checkpoints.ConclusionRBP1 is overexpressed and associated with poor patient prognosis in head and neck squamous cell carcinoma.

CHH hypermethylation contributes to the early ripening of grapes revealed by DNA methylome landscape of “Kyoho” and its bud mutant

Abstract DNA methylation is a stable epigenetic mark that plays a crucial role in plant life processes. However, the specific functions of DNA methylation in grape berry development remain largely unknown. In this study, we performed whole-genome bisulfite sequencing on “Kyoho” grape and its early-ripening bud mutant “Fengzao” at different developmental stages. Our results revealed that transposons (TEs) and gene flanking regions exhibited high levels of methylation, particularly in “Fengzao”, attributed to CHH site methylation. Interestingly, the methylation patterns in these two cultivars showed distinct dynamics during berry development. While methylation levels of genes and TEs increased gradually in “Kyoho” throughout berry development, “Fengzao” did not display consistent changes. Notably, “Fengzao” exhibited higher methylation levels in promoters compared to “Kyoho”, suggesting that hypermethylation of promoters may contribute to its early ripening phenotype. Integration of methylome and transcriptome data highlighted differentially methylated genes (DMGs) and expressed genes (DEGs) associated with secondary metabolite biosynthesis, with 38 genes identified as potential candidates involved in grape berry development. Furthermore, the study identified a jasmonate-induced oxygenase gene (JOX1) as a negative regulator of ripening in Arabidopsis and grapes, indicating that hypermethylation of JOX1 may play a role in the early ripening of “Fengzao”. Overall, our findings provide insights into the distinct DNA methylation patterns during grape berry development, shedding light on the epigenetic regulatory mechanisms underlying the early-ripening bud mutant.

Epigenetic Age Estimation by Detecting DNA Methylation Status in Buccal Swabs.

The analysis of DNA methylation (DNAm) levels at specific CpG sites represents one of the most promising molecular techniques for estimating an individual's age. To date, a considerable number of studies have reported the development of age prediction models on the basis of DNAm in body fluids, with only a few utilizing buccal swabs. The objective of this study was to identify age-dependent methylation CpG sites in three different genes (HOXC4, TRIM59, and ELOVL2) in buccal swab samples from the Chinese Han population. A total of 461 buccal swabs, with an age range of 0.4-80.8 years, were divided into a training set (n=325) and a validation set (n=136). Samples were analyzed by pyrosequencing in order to identify age-related genes with correlation coefficient. A random forest regression model was ultimately proposed, including eight CpGs in three genes, with a mean absolute error (MAE) of 2.119 years. The model performs independent validation set with an MAE of 4.391 years. Our findings illustrate that buccal swabs present a suitable alternative to biological traces for age prediction based on DNAm pattern using pyrosequencing and random forest regression, offering the additional advantage of being collected noninvasively.

PER3 promoter hypermethylation correlates to the progression of pan-cancer

BackgroundMalignant cells exhibit reduced period circadian regulator 3 (PER3) expression. However, the underlying mechanisms of variations in PER3 expression in cancers and the specific function of PER3 in tumor progression remain poorly understood.ResultsWe explored multiple public databases, conducted bioinformatics analyses, and performed in vitro and in vivo experiments for validation. We found PER3 expression was decreased in most types of cancers, and PER3 downregulation was associated with a poor prognosis in 8 types of cancer. PER3 promoter methylation levels were increased in 11 types of cancer. Promoter hypermethylation (CpG islands [CGIs] cg12258811 and cg14204433) correlated with decreased PER3 expression in six cancers (breast invasive carcinoma, colon adenocarcinoma, head and neck squamous cell carcinoma, kidney renal papillary cell carcinoma [KIRP], lung adenocarcinoma [LUAD], and uterine corpus endometrial carcinoma). CGI cg12258811 hypermethylation was associated with reduced survival time and advanced cancer stages. Moreover, the bisulfite pyrosequencing assay confirmed CGI cg12258811 hypermethylation and its negative correlation with PER3 expression. In vitro and in vivo experiments demonstrated that PER3 inhibited KIRP and LUAD progression. Decitabine enhanced PER3 expression and inhibited KIRP cell functions by reducing promoter (cg12258811) methylation level.ConclusionsOur findings advanced the mechanistic understanding of variations in PER3 expression in cancers and confirmed the tumor-associated function of PER3 hypermethylation and downregulation.

Cannabinoids shift the basal ganglia miRNA m6A methylation profile towards an anti-inflammatory phenotype in SIV-infected Rhesus macaques.

Epitranscriptomic modifications modulate diverse biological processes, such as regulation of gene expression, abundance, location and function. In particular, N6-methyladenosine (m6A) methylation has been shown to regulate various disease processes, including cancer and inflammation. While there is evidence that m6A modification is functionally relevant in neural development and differentiation, the role of m6A modification in HIV neuropathogenesis is unknown. Here, we identified direct m6A modifications in miRNAs from BG tissues of Rhesus Monkeys (RMs) that were either vehicle-treated uninfected (VEH), SIV-infected combination anti-retroviral therapy (cART) treated (VEH/SIV/cART), or THC:CBD treated VEH/SIV/cART (THC:CBD/SIV/cART) RMs. We detected m6A modifications across all BG tissues. SIV infection promoted an overall hypomethylated m6A profile. While the overall hypomethylated m6A profile was not significantly impacted by THC:CBD treatment, specific miRNAs, particularly those predicted to target proinflammatory genes showed markedly reduced m6A methylation levels compared to the VEH treated RMs. Additionally, we found that specific BG tissue miRNAs bearing m6A epi-transcriptomic marks were also transferred to BG-derived extracellular vesicles (EVs). Mechanistically, we identified the DRACH motif of the seed region of miR-194-5p to be significantly m6A hypomethylated, which was predicted to directly target STAT1, an important interferon-activated transcription factor known to drive neuroinflammation, in diseases ranging from Alzheimer to Parkinson and Huntington disease. Notably, THC:CBD treatments significantly reduced m6A methylation of 43 miRNA species directly involved in regulating CNS network genes, thus providing a possible mechanist explanation on the beneficial effects of THC:CBD treatments noted in several disease involving neuroinflammation. Our findings also underscore the need for investigating the qualitative, posttranscriptional modification changes in the RNA profiles along with the more traditional, qualitative alterations in pathological conditions or after various treatment regimens.

EBNA1BP2 identified as potential prognostic biomarker for multiple tumor types in pan-cancer analysis

BackgroundEpstein-Barr virus (EBV) infection has been closely linked to the development of various types of cancer. EB nuclear antigen 1 binding protein 2 (EBNA1BP2) is a crucial molecule for stable isolation of EBV in latent infection. However, the role of EBNA1BP2 in multiple tumor types is remains unclear. In this study, we comprehensively analyzed the functional characteristics of EBNA1BP2 and investigate its potential as a prognostic biomarker in pan-cancer.MethodsWe utilized data from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus) databases and employed various bioinformatics analysis tools, including TIMER2.0, HPA, GEPIA2.0, PrognoScan, cBioPortal, CancerSEA, and BioGRID to explore the expression pattern, prognostic value, immune infiltration, and methylation level of EBNA1BP2 in pan-cancer. Additionally, we conducted enrichment analysis of genes associated with EBNA1BP2 to identify potential biological functions and pathways.ResultsOur analysis revealed that EBNA1BP2 expression was significantly higher in tumor tissues compared to tumor-adjacent tissues. We observed that lower expression of EBNA1BP2 in adrenocortical carcinoma (ACC), brain lower grade glioma (LGG), sarcoma (SARC), and uterine carcinosarcoma (UCS) was significantly associated with improved overall survival (OS) and disease-free survival (DFS). Furthermore, the promoter methylation level of EBNA1BP2 was downregulated in the majority of cancer types. At the single-cell level, EBNA1BP2 was found to be positively correlated with cell cycle and DNA repair processes, while negatively correlated with hypoxia. Additionally, EBNA1BP2 was associated with the infiltration of immune cells such as B cells, cancer-associated fibroblast cells, and CD8+ T cells. Gene enrichment analysis indicated that EBNA1BP2 was mainly involved in nucleoplasm and RNA binding pathways.ConclusionOur findings suggest that EBNA1BP2 may serve as a potential prognostic biomarker for survival in pan-cancer. Further experimental studies are needed to validate these findings and explore the underlying mechanisms by which EBNA1BP2 contributes to tumorigenesis.

Integrative multiomics analysis identifies key genes regulating intramuscular fat deposition during development

Intramuscular fat (IMF) content is an important indicator of livestock and poultry meat quality. Enhancing IMF deposition can significantly improve meat quality. Focusing on the core process of IMF deposition, this study used the Jingxing Yellow (JXY) chickens as a model organism and employed multi-omics approaches, including RNA-sequencing (RNA-seq), Whole-genome bisulfite sequencing (WGBS), and metabolomics, to identify the key genes influencing IMF deposition in chickens during development. The results indicated that the contents of triglycerides (TG) and phospholipids (PLIP) exhibited an upward trend. The TG content did not differ significantly between day 1 (D1) and day 7 (D7), but increased significantly after 35 days (D35) of age. The WGBS results revealed that CpG methylation was the predominant methylation type in the breast muscle tissue of JXY chickens. Integrative analysis of RNA-seq and WGBS identified 50 genes, including PLA2G4F, PALMD, PLSCR5, ARHGEF26, LUM, DCN, TNRC6B, CACNA1C, ROBO1, and MBTPS2, whose methylation levels were significantly negatively correlated with their expression levels. In addition, the combined Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of differentially-expressed metabolites (DEM) and differentially-expressed genes (DEG) converged on the glycerophospholipid metabolism pathway, which was significantly enriched in DEGs such as PLA2G4F, PLA2G15, LPIN1, MBOAT2, DGKH, AGPAT2, and CHKA, as well as DEM like glycerophosphocholine and phosphocholine. Notably, PLA2G4F was identified as a DEG by DNA methylation, suggesting that PLA2G4F could be a key candidate gene influencing IMF deposition during chicken development. These findings are expected to provide a solid theoretical foundation for improving meat quality through targeted genetic and epigenetic interventions.

Improved detection of methylation in ancient DNA

Reconstructing premortem DNA methylation levels in ancient DNA has led to breakthrough studies such as the prediction of anatomical features of the Denisovan. These studies rely on computationally inferring methylation levels from damage signals in naturally deaminated cytosines, which requires expensive high-coverage genomes. Here, we test two methods for direct methylation measurement developed for modern DNA based on either bisulfite or enzymatic methylation treatments. Bisulfite treatment shows the least reduction in DNA yields as well as the least biases during methylation conversion, demonstrating that this method can be successfully applied to ancient DNA.

LncRNA LINC00261 associates with chemoresistance and clinical prognosis in patients with epithelial ovarian cancer.

The purpose of this experiment is to explore the role of long intergenic noncoding RNA 261 (LINC00261) gene in the chemoresistance and clinical prognosis of epithelial ovarian cancer (EOC). We used matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry to detect the methylation levels of the LINC00261 promoter region in EOC patient specimens. The expression levels of LINC00261, miR-545-3p, and MT1M in EOC patients were evaluated by quantitative real-time reverse transcriptase PCR (RT-qPCR). Spearman's correlation analysis was used for relevance analyses and clinical prognosis was counted by Kaplan-Meier analysis. Stable overexpressed LINC00261 SKOV3 cells were established to test the influence of LINC00261 on proliferation, platinum sensitivity, migration, and invasion. The promoter region methylation level of the LINC00261 was hypermethylated and LINC00261 was significantly downregulated in platinum-resistant EOC tissues. The methylation level of LINC00261was significantly negative correlated with its RNA expression in EOC. Moreover, hypermethylation and lower expression of LINC00261 in EOC patients were related to shorter progression-free survival (PFS) and overall survival (OS). Furthermore, Spearman's correlation analysis showed that the expression of miR-545-3p had a negative relevance with LINC00261. According to the website prediction, MT1M might be the downstream target gene of LINC00261. Expression of MT1M was negatively correlated with miR-545-3p and positively with LINC00261 in EOC tissues. And lower MT1M mRNA expression was correlated with chemotherapy resistance and worse prognosis. In vitro, overexpression of LINC00261 could inhibit cisplatin resistance, proliferation, and suppression of migration and invasion in SKOV3 cells. This research indicates that the aberrant hypermethylation and low expression of LINC00261 were associated with platinum resistance and adverse outcomes in EOC patients.

Meta-analysis on the Diagnostic Value of SDC2 Methylation in Colorectal Cancer Screening Among Chinese

To systematically evaluate the diagnostic value of syndecan-2 (SDC2) gene methylation status in the detection of Colorectal cancer (CRC) and advanced adenomas (AA) through meta-analysis. Databases including PubMed, Web of Science were searched from 2020 to June 14, 2024. Relevant studies were selected based on predefined inclusion and exclusion criteria. The true positive (TP), false positive (FP), false negative (FN), and true negative (TN) results were calculated for each study. The quality of the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. A bivariate meta-analysis model was used to pool the sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (PLR), and negative likelihood ratio (NLR), and a summary receiver operating characteristic (SROC) curve was constructed. Spearman’s correlation coefficient, Cochran-Q test, and I² test were used to evaluate heterogeneity. Sensitivity analysis was performed to explore the potential sources of heterogeneity. 24 literatures were included for meta-analysis. The pooled sensitivity was 0.77 for CRC and 0.52 for AA, and the pooled specificity was 0.93 for CRC and 0.91 for AA. The pooled PLR was 10.63 for CRC and 5.57 for AA, and the pooled NLR was 0.25 for CRC and 0.53 for AA. The DOR was 43.21 for CRC and 10.47 for AA. The SROC AUC was 0.91 for CRC and 0.83 for AA. The methylation level of the SDC2 gene in stool samples has significant diagnostic value for colorectal cancer and is considered an ideal biomarker for the early detection of this disease.

STARD7 could be an immunological and prognostic biomarker: from pan-cancer analysis to hepatocellular carcinoma validation

BackgroundAs the emergence of technologies such as sequencing and gene mapping, significant advancements have been made in understanding the landscape of tumors. However, the effective treatment of tumors continues to pose a tremendous challenge in clinical practice, which highlights the importance of predicting tumor markers and studying drug resistance mechanisms. The prognosis and differential expression of STARD7 in human pan-cancer were investigated by bioinformatic methods and experimental verification.MethodsThe expression, diagnostic, and prognostic significance of the STARD7 gene were comprehensive analyzed using bioinformatics techniques. Furthermore, we validated our projected outcomes in liver cancer through experimental methodologies, including the use of qRT-PCR, CCK8 and transwell assays.ResultsThe STARD7 gene exhibits differential expression in 25 tumors, with high expression observed in 22 tumors. These distinct expression patterns within different tumor types are closely associated with poor prognosis and diagnosis. Furthermore, the STARD7 gene plays a role in regulating the tumor immune microenvironment. Methylation levels of STARD7 vary among 20 types of tumors and are correlated with survival outcomes. Furthermore, the experiment results demonstrated that STARD7 is highly expressed in hepatocellular carcinoma cells. Suppression of STARD7 significantly impedes the proliferation, migration, and invasion of HepG-2 and SMMC-7721 cells.ConclusionsSTARD7 has the potential to function as a crucial prognostic biomarker and exhibit correlation with tumor immunity in various types of human cancers. The implications of our findings extend to informing cancer immune-therapy and promoting the advancement of precision immune-oncology.

Associations between Circulating Biomarkers of One-Carbon Metabolism and Mitochondrial D-Loop Region Methylation Levels.

One-carbon metabolism is a critical pathway for epigenetic mechanisms. Circulating biomarkers of one-carbon metabolism have been associated with changes in nuclear DNA methylation levels in individuals affected by age-related diseases. More and more studies are showing that even mitochondrial DNA (mtDNA) could be methylated. In particular, methylation of the mitochondrial displacement (D-loop) region modulates the gene expression and replication of mtDNA and, when altered, can contribute to the development of human illnesses. However, no study until now has demonstrated an association between circulating biomarkers of one-carbon metabolism and D-loop methylation levels. In the study presented herein, we searched for associations between circulating one-carbon metabolism biomarkers, including folate, homocysteine, and vitamin B12, and the methylation levels of the D-loop region in DNA obtained from the peripheral blood of 94 elderly voluntary subjects. We observed a positive correlation between D-loop methylation and vitamin B12 (r = 0.21; p = 0.03), while no significant correlation was observed with folate (r = 0.02; p = 0.80) or homocysteine levels (r = 0.02; p = 0.82). Moreover, D-loop methylation was increased in individuals with high vitamin B12 levels compared to those with normal vitamin B12 levels (p = 0.04). This is the first study suggesting an association between vitamin B12 circulating levels and mtDNA methylation in human subjects. Given the potential implications of altered one-carbon metabolism and mitochondrial epigenetics in human diseases, a deeper understanding of their interaction could inspire novel interventions with beneficial effects for human health.

MethylSeqLogo: DNA methylation smart sequence logos

BackgroundSome transcription factors, MYC for example, bind sites of potentially methylated DNA. This may increase binding specificity as such sites are (1) highly under-represented in the genome, and (2) offer additional, tissue specific information in the form of hypo- or hyper-methylation. Fortunately, bisulfite sequencing data can be used to investigate this phenomenon.MethodWe developed MethylSeqLogo, an extension of sequence logos which includes new elements to indicate DNA methylation and under-represented dimers in each position of a set binding sites. Our method displays information from both DNA strands, and takes into account the sequence context (CpG or other) and genome region (promoter versus whole genome) appropriate to properly assess the expected background dimer frequency and level of methylation. MethylSeqLogo preserves sequence logo semantics—the relative height of nucleotides within a column represents their proportion in the binding sites, while the absolute height of each column represents information (relative entropy) and the height of all columns added together represents total informationResultsWe present figures illustrating the utility of using MethylSeqLogo to summarize data from several CpG binding transcription factors. The logos show that unmethylated CpG binding sites are a feature of transcription factors such as MYC and ZBTB33, while some other CpG binding transcription factors, such as CEBPB, appear methylation neutral.ConclusionsOur software enables users to explore bisulfite and ChIP sequencing data sets—and in the process obtain publication quality figures.

CISD3 is a prognostic biomarker and therapeutic target in pan-cancer.

Recent studies indicate that CISD3 is crucial in mitochondrial function and tumorigenesis. Using various databases, we systematically analyzed its expression, prognostic value, and immune activity. Our findings show CISD3 is mainly expressed in tumor cells across cancers, with higher mRNA but lower protein levels, degraded post-translationally via the lysosomal pathway. In certain cancers, CISD3 expression is positively correlated with tumor-infiltrating immune cells. Prognostic analysis suggests dual roles as both protective and risk factors, notably an independent prognostic predictor in renal cell carcinoma (RCC). CISD3 copy number variations are linked to homologous recombination defects and tumor-specific neoantigens, negatively correlated with methylation levels. Pathway analysis reveals CISD3 involvement in oncogenic processes, such as proliferation inhibition and epithelial-mesenchymal transition. Protein interactions underline its role in mitochondrial metabolism and redox balance. Experiments confirm low CISD3 expression in cancers, with overexpression reducing proliferation, migration, invasion, and tumor growth in mice. Mechanistic studies indicate CISD3 overexpression disrupts mitochondrial function, increases ROS levels, decreases GSH/GSSG ratios and mitochondrial membrane potential, inhibiting antioxidant activity and promoting cell damage and ferroptosis, thus impeding cancer progression. This study highlights CISD3's potential as a prognostic biomarker and therapeutic target.

Dynamic landscape of m6A modifications and related post-transcriptional events in muscle-invasive bladder cancer

BackgroundMuscle-invasive bladder carcinoma (MIBC) is a serious and more advanced stage of bladder carcinoma. N6-Methyladenosine (m6A) is a dynamic and reversible modifications that primarily affects RNA stability and alternative splicing. The dysregulation of m6A in MIBC can be potential target for clinical interventions, but there have been limited studies on m6A modifications in MIBC and their associations with post-transcriptional regulatory processes.MethodsPaired tumor and adjacent-normal tissues were obtained from three patients with MIBC following radical cystectomy. The additional paired tissues for validation were obtained from patients underwent transurethral resection. Utilizing Nanopore direct-RNA sequencing, we characterized the m6A RNA methylation landscape in MIBC, with a focus on identifying post-transcriptional events potentially affected by changes in m6A sites. This included an examination of differential transcript usage, polyadenylation signal sites, and variations in poly(A) tail length, providing insights into the broader impact of m6A alterations on RNA processing in MIBC.ResultsThe prognostic-related m6A genes and m6A-risk model constructed by machine learning enables the stratification of high and low-risk patients with precision. A novel m6A modification site in the 3’ untranslated region (3’UTR) of IGLL5 gene were identified, characterized by a lower m6A methylation ratio, elongated poly(A) tails, and a notable bias in transcript usage. Furthermore, we discovered two particular transcripts, VWA1-203 and CEBPB-201. VWA1-203 displayed diminished m6A methylation levels, a truncated 3’UTR, and an elongated poly(A) tail, whereas CEBPB-201 showed opposite trends, highlighting the complex interplay between m6A modifications and RNA processing. Source code was provided on GitHub (https://github.com/lelelililele/Nanopore-m6A-analysis).ConclusionsThe state-of-the-art Nanopore direct-RNA sequencing and machine learning techniques enables comprehensive identification of m6A modification and provided insights into the potential post-transcriptional regulation mechanisms on the development and progression in MIBC.

Evaluation of a plasma cell-free DNA methylation test for colorectal cancer diagnosis: a multicenter clinical study.

A blood-based diagnostic test is a promising strategy for colorectal cancer (CRC). The MethyDT test (IColohunter), which detects methylation levels of NTMT1 and MAP3K14-AS1, exhibited potential in discriminating CRC, but its clinical performance needs to be validated in large-scale populations. A multicenter, double-blinded, cross-sectional study that enrolled 1194 participants was performed. Plasma samples were collected to detect methylation levels of NTMT1 and MAP3K14-AS1 using quantitative methylation-specific PCR with the MethyDT test, and the accuracy was further evaluated by Sanger sequencing. The sensitivities of the MethyDT test for detecting CRC, early stages of CRC (I and II), advanced adenoma (AA), and high-grade intraepithelial neoplasia (HGIN) were 91.2% (95% confidence interval [CI], 88.4-94.0), 87.4% (95% CI, 82.5-92.2), 43.5% (95% CI, 35.7-51.4), and 72.7% (95% CI, 57.5-87.9), respectively. The specificities for participants with non-AA, interfering diseases (ID), and no evidence of disease (NED) were 85.0% (95% CI, 78.8-91.3), 93.7% (95% CI, 91.4-95.9) and 97.3% (95% CI, 90.5-99.7), respectively, and its overall specificity for all-controls was 92.4% (95% CI, 90.3-94.4). The consistency of the MethyDT test with pathology for CRC was high with a kappa value of 0.830 (95% CI, 0.795-0.865). Additionally, the MethyDT test was comparable to Sanger sequencing for detecting methylation with kappa values > 0.97. The MethyDT test demonstrates excellent sensitivity and specificity for CRC and high consistency with Sanger sequencing for methylation, suggesting it may serve as a potential noninvasive diagnostic tool for the detection of CRC. This clinical trial has been registered in ClinicalTrials.gov (NCT05508503).

Hypermethylation in Ovarian Cancer of Long Non-Coding RNA Genes: &lt;i&gt;HOTAIR&lt;/i&gt;, &lt;i&gt;GAS5&lt;/i&gt;, &lt;i&gt;LINC00472&lt;/i&gt;, &lt;i&gt;LINC00886&lt;/i&gt;, &lt;i&gt;TUG1&lt;/i&gt;

Recently, more and more data have been accumulating indicating the role of long non-coding RNAs (lncRNAs) in the regulation of biological processes in cells, as well as in the mechanisms of cancer development and progression. Aberrant methylation of promoter regions of both protein genes and lncRNA genes can disrupt their expression and functional activity. Using bioinformatics databases, six lncRNA genes (GAS5, HOTAIR, LINC00472, LINC00886, SNHG17 and TUG1) with CpG islands, differentially expressed and presumably hypermethylated in tumors of patients with ovarian cancer (OC) were selected. A statistically significant (p 0.05) increase in the methylation level in tumours was demonstrated in a sample of 93 OC specimens using methylation-specific real-time PCR assay. Moreover, for the genes LINC00472, LINC00886, SNHG17 and TUG1, hypermethylation in OC was detected for the first time. 5 genes (except SNHG17) showed a further increase in methylation levels at a more advanced stage, and 4 genes (except SNHG17 and LINC00886) showed a significant association with metastasis. Using real-time RT-PCR, differential changes in the expression level of the GAS5, HOTAIR, SNHG17 and TUG1 genes and a significant correlation of methylation with expression for the GAS5 gene were shown. Thus, hypermethylation associated with the progression and/or development of OC was detected for six lncRNA genes, which is important for elucidating the epigenetic processes involved in the pathogenesis of OC and can be used as new biomarkers of OC.