Aberration in microRNA expression or DNA methylation is a causal factor for polycystic ovarian syndrome. However, the epigenetic interactions between miRNA and DNA methylation remain unexplored in PCOS. We conducted a novel integrated analysis of RNA-seq, miRNA-seq, and methylated DNA-binding domain sequencing on ovarian granulosa cells to reveal the epigenetic interactions involved in the pathogenesis of PCOS. We identified 830 genes and 30 miRNAs that were expressed differently in PCOS, and seven miRNAs negatively regulated target mRNA expression. 130 miRNAs' promoters were significantly differently methylated, while 13 were associated with miRNA expression. Furthermore, the hypermethylation of miR-429, miR-141-3p, and miR-126-3p′ promoter was found related to miRNA expression suppression and therefore their corresponding genes upregulation, including XIAP, BRD3, MAPK14, and SLC7A5. Our findings provide a novel insight in PCOS. The consequential reversal of genes silencing may participate in PCOS pathogenesis and served as potential molecular targets for PCOS.
Background: Colorectal cancer (CRC) is one of the leading causes of cancer death worldwide. microRNAs (miRNAs) repress gene expression by binding to complementary sequences in the 3' untranslated region (3'UTR) of target mRNAs. Alternative polyadenylation (APA) are relevant to the variability of the 3'UTR of mRNA. However, the posttranscriptional dysregulation of miRNAs and APA in CRC are poorly understood.Method: In this study, we conducted small RNA sequencing to identify differentially expressed miRNAs (DERs) and their target genes. Function analysis on DER-target genes can explain the regulation roles of miRNAs in CRC. The mutual regulation of miRNAs and APA was analyzed by combining miRNA data to 3'UTR alteration using 3' termini of polyadenylated RNAs sequencing (3T-seq) technique, and this was validated using TCGA gene expression data.Results: Our results showed 64 significant differentially expressed miRNAs (DERs) in CRC patients. Their target genes were related to cell adhesion and transcription regulation and were prevailingly involved in the CRC-related pathway. Integrative analysis of the miRNA and APA profile revealed 16 DERs were correlated with 12 polyadenylation factors, and six of them were significantly differently expressed in CRC. We also found four DERs that lost binding sites due to APA and showed a positive correlation between the miRNA and gene expression.Conclusion: Our study found that miRNAs regulated APA by modulating key polyadenylation factors, and several miRNAs lost their suppression on mRNA due to APA. Associating this with gene expression may provide some important clues for a deeper study of posttranscriptional cellular regulation and biomarker research in CRC. Our data provided the first evidence that the interaction between miRNAs and APA associated with gene expression could serve as biomarkers for CRC, suggesting that hsa-miR-133a-Frontiers in Genetics | www.frontiersin.org 3p and MLEC, hsa-miR-145-5p and SET, hsa-miR-1-3p and PPIA, and hsa-miR-378d and YY1 might be novel and potential biomarkers in improving the diagnosis of CRC.
We identified hypermethylated PCDHGB7 as a novel cancer marker and applied it to early cervical cancer (CC) screening. It outperforms the widely implemented highrisk human papillomavirus (hrHPV) test and ThinPrep cytologic test (TCT) and even can be used in the selfsampled vaginal secretions, proving itself as a much more convenient yet highly effective screening method.DNA methylation aberration occurs during cancer progression. DNA methylation has emerged as a promising diagnostic, prognostic, and predictive biomarker of various types of cancer. 1 However, the common biomarker of cancers has been rarely explored. Previously, we provided the concept of Universal Cancer Only Marker (UCOM) and identified hypermethylated HIST1H4F as the first UCOM marker. 2 In our genome-wide methylation analysis, we found PCDH family genes were cancer cell-differentially methylated genes (CC-DMG). 2 In the current study, we focused on PCDHGB7, a member of the protocadherin gamma gene cluster, which plays critical roles in the establishment and function of specific neuronal connections, 3 and investigated whether it could be a novel UCOM marker. As CC is one of the most common female malignancies 4 and the widely implemented hrHPV and TCT yield a high false-positive rate, 5,6 we aimed to applied PCDHGB7 in the early CC screening.We compared the methylation status of PCDHGB7 in 17 cancer types with their corresponding normal tissues in TCGA and GEO database (n = 7114). It turned out PCDHGB7 was hypermethylated in all cancer types (Figure 1A). When analyzing FIGO staging, we found that PCDHGB7 was already hypermethylated in stage I of all cancer types analyzed (Figure S1), suggesting hypermethylated PCDHGB7 could be an early-stage cancer indicator. Additionally, in different histological types, keratinizing squamous cell carcinoma, lymphovascular invasion, or histologic grades, there was no methylation difference of PCDHGB7 (Figure S2). To verify these analytical results, we collected 13 types of clinical cancer samples (n = 727),This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Polycystic ovary syndrome (PCOS) is the most common endocrine diseases of fertile women and a major cause of infertility. The regulatory effects of DNA methylation on gene transcription and downstream lipid metabolism have not been explored in PCOS. In this study, MBD-seq and RNA-seq were performed on ovarian granulosa cells of PCOS patients and controls, and methylation specific PCR and quantitative polymerase chain reaction were used to validate the results. Then lipidomic profiling was conducted on serum of PCOS patients and controls using UPLC-MS. We identified 73 genes with differently methylated promoters and 830 differently expressed genes. The promoter regions of LPCAT1 and PCYT1A were hypermethylated, accompanied by downregulation of their messenger RNA expression, which may be involved in the regulation of PCOS through downstream glycerophospholipid metabolism and phosphatidylcholine synthesis. The lipid profiling results showed significant changes in 21 lipids, which demonstrated the disturbance in glycerophospholipid metabolism and glycerolipid metabolism pathways. Furthermore, the metabolites-genes interaction network was constructed to illustrate the association of aberrant methylome and transcriptome with lipidome alterations in glycerolipid and glycerophospholipid metabolism pathways. Our study suggested that the methylation silencing of LPCAT1 and PCYT1A may promote glycerophospholipids metabolism dysregulation, which provided a novel genetic and lipometabolic basis for the pathogenesis of PCOS.
Endometrial cancer (EC) is one of the most common gynecologic cancers in developed countries. Presently, it is imperative to develop a reliable, noninvasive, or minimally invasive detection method for EC. We explored the possibility of using DNA methylation marker from endometrial brush samples (with a “Tao brush”) and cervical scrapes (with a “Pap brush”) for early detection of EC. We analyzed the methylation data of EC and normal endometrial tissues from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data sets. An optimized methylation-sensitive restriction enzyme combined with real-time fluorescent quantitative PCR (MSRE-qPCR) was used for methylation detection. Included in the training set were 143 endometrial tissues, 103 Tao, and 109 Pap brush samples. The validation set included 110 Tao and 112 Pap brush samples. PCDHGB7 was significantly hypermethylated in EC compared with normal endometrial tissues in the TCGA and GEO data sets (AUC >0.95), which was verified in clinical samples. In the Pap brush samples, the AUC was 0.86 with 80.65% sensitivity and 82.81% specificity, whereas the Tao brush samples exhibited higher specificity (95.31%). The combination of Tao and Pap brush samples significantly increased the sensitivity to 90.32%. In the validation set, the final model yielded a sensitivity of 98.61%, specificity of 60.53%, positive predictive value of 82.56%, and negative predictive value of 95.83%. These results demonstrate the potential application of the novel methylation marker, hypermethylated PCDHGB7, in cervical scrapings and endometrial brush, which provides a viable, noninvasive, or minimally invasive method for early endometrial cancer detection across different clinical features and histologies to supplement current hysteroscopy diagnosis.
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