Comprehensive DNA methylation profiling by MeDIP-NGS identifies potential genes and pathways for epithelial ovarian cancer

• Published in: Journal of ovarian research Vol. 17; no. 1; p. 83
• Main Authors: Gautam, Priyanka, Gupta, Sameer, Sachan, Manisha
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 16.04.2024; BioMed Central; BMC
• Subjects: Bioinformatics analysis; Cancer; Carcinogenesis - genetics; Carcinoma, Ovarian Epithelial - genetics; CpG Islands; Diagnosis; Differentially methylated regions (DMRs); DNA; DNA methylation; DNA Methylation - genetics; DNA polymerases; Ethylenediaminetetraacetic acid; Female; Genes; Genetic aspects; Genomes; Genomics; Health aspects; Humans; Intracellular Signaling Peptides and Proteins - genetics; MeDIP-seq; Methylation; Mortality; Oncology, Experimental; Ovarian cancer; Ovarian Neoplasms - genetics; Protein Serine-Threonine Kinases - genetics; QRT-PCR; RNA Polymerase III - genetics; Sulfites; Bioinformatics analysis; Biomarker; Differentially methylated regions (DMRs); MeDIP-seq; DNA methylation; QRT-PCR; Ovarian cancer
• ISSN: 1757-2215; 1757-2215
• DOI: 10.1186/s13048-024-01395-3

Ovarian cancer, among all gynecologic malignancies, exhibits the highest incidence and mortality rate, primarily because it is often presents with non-specific or no symptoms during its early stages. For the advancement of Ovarian Cancer Diagnosis, it is crucial to identify the potential molecular signatures that could significantly differentiate between healthy and ovarian cancerous tissues and can be used further as a diagnostic biomarker for detecting ovarian cancer. In this study, we investigated the genome-wide methylation patterns in ovarian cancer patients using Methylated DNA Immunoprecipitation (MeDIP-Seq) followed by NGS. Identified differentially methylated regions (DMRs) were further validated by targeted bisulfite sequencing for CpG site-specific methylation profiles. Furthermore, expression validation of six genes by Quantitative Reverse Transcriptase-PCR was also performed. Out of total 120 differentially methylated genes (DMGs), 68 genes were hypermethylated, and 52 were hypomethylated in their promoter region. After analysis, we identified the top 6 hub genes, namely POLR3B, PLXND1, GIGYF2, STK4, BMP2 and CRKL. Interestingly we observed Non-CpG site methylation in the case of POLR3B and CRKL which was statistically significant in discriminating ovarian cancer samples from normal controls. The most significant pathways identified were focal adhesion, the MAPK signaling pathway, and the Ras signaling pathway. Expression analysis of hypermethylated genes was correlated with the downregulation of the genes. POLR3B and GIGYF2 turned out to be the novel genes associated with the carcinogenesis of EOC. Our study demonstrated that methylation profiling through MeDIP-sequencing has effectively identified six potential hub genes and pathways that might exacerbate our understanding of underlying molecular mechanisms of ovarian carcinogenesis.