Investigation of epigenetic modifier on HDAC1 and microRNA-410 expression in ovarian cancer cell lines

Sarkargar, Fatemeh; Mazaheri, Mahta; Zare, Aniseh; Hajihosseini, Reza

doi:10.1016/j.genrep.2021.101240

Cited by 3 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Frontiers in Genetics | www.frontiersin.org June 2022 | Volume 13 | Article 850089 Sarkargar et al, 2021;Szukiewicz et al, 2021). Many studies have demonstrated the influence of genetic and epigenetic modifications on tumor initiation and progression in ovarian cancer, endometrial cancer, and cervical cancer.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Competitive Endogenous Mechanism and Survival Prognosis of Serum Exosomes in Ovarian Cancer Patients Based on Sequencing Technology and Bioinformatics

Wang

et al. 2022

Front. Genet.

View full text Add to dashboard Cite

Background: We determined the competitive endogenous in serum exosomes of ovarian cancer patients via sequencing technology and raw signal analysis. We performed an in-depth study of the potential mechanisms of ovarian cancer, predicted potential therapeutic targets and performed survival analysis of the potential targets.Methods: Serum exosomes from three ovarian cancer patients were used as the experimental group, serum exosomes from three patients with uterine fibroids were used as the control group, and whole transcriptome analysis of serum exosomes was performed to identify differentially expressed long noncoding RNAs (lncRNAs) and mRNAs in ovarian cancer. The miRcode database and miRNA target gene prediction website were used to predict the target genes. Cytoscape software was used to generate a competing endogenous RNA (ceRNA) network of competitive endogenous mechanism of serum exosomes in ovarian cancer, and the R language was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of the target genes. Finally, the TCGA website was used to download clinical and expression data related to ovarian cancer, and the common potential target genes obtained previously were analyzed for survival.Results: A total of 117 differentially expressed lncRNAs as well as 513 differentially expressed mRNAs (p < 0.05, |log2 fold change (FC)|≥ 1.0) were obtained by combining sequencing data and raw signal analysis, and 841 predicted target genes were reciprocally mapped by combining the data from the miRcode database and miRNA target gene prediction website, resulting in 11 potential target genes related to ovarian cancer (FGFR3, BMPR1B, TRIM29, FBN2, PAPPA, CCDC58, IGSF3, FBXO10, GPAM, HOXA10, and LHFPL4). Survival analysis of the above 11 target genes revealed that the survival curve was statistically significant (p < 0.05) for HOXA10 but not for the other genes. Through enrichment analysis, we found that the above target genes were mainly involved in biological processes such as regulation of transmembrane receptor protein kinase activity, structural molecule activity with elasticity, transforming growth factor-activated receptor activity, and GABA receptor binding and were mainly enriched in signaling pathways regulating stem cell pluripotency, bladder cancer, glycerolipid metabolism, central carbon metabolism of cancer, and tyrosine stimulation to EGFR in signaling pathways such as resistance to enzyme inhibitors.Conclusions: The serum exosomal DIO3OS-hsa-miR-27a-3p-HOXA10 competitive endogenous signaling axis affects ovarian cancer development and disease survival by targeting dysregulated transcriptional pathways in cancer.

show abstract

Section: Discussionmentioning

confidence: 99%

Analysis of Competitive Endogenous Mechanism and Survival Prognosis of Serum Exosomes in Ovarian Cancer Patients Based on Sequencing Technology and Bioinformatics

Wang

et al. 2022

Front. Genet.

View full text Add to dashboard Cite

show abstract

“…Probably one of the reasons is the presence of enough space for the effect of this vitamin on cells; cell layers are added, and the level of effectiveness of the drug is reduced over time and because of the proliferation of cells. Another cause includes the drug's initial shock on cells, which is why it will have the highest lethality (15). An increase in HE4 gene expression was observed given the effect of vitamin D on A2780S cell lines.…”

Section: Discussionmentioning

confidence: 99%

An investigation of the anti-cancer effects of vitamin D on the expression of HE4 gene and the viability of ovarian cancer cell line A2780S

Yahyaie¹,

Salehi²,

Morovati-Sharifabad³

et al. 2022

J Shahrekord Univ Med Sci

Self Cite

View full text Add to dashboard Cite

Background and aims: Ovarian cancer is the second most common cause of death in Iran. A reduction in vitamin D production has been associated with an increased risk for ovarian cancer in many studies. Human epididymis protein 4 (HE4) is known as one of the most accurate tumor markers for the analysis of ovarian epithelial cancer illness or progression. The expression of the gene increases in many types of ovarian cancer. The aim of this study was to find whether vitamin D has anticancer effects on the viability of HE4 gene expression. Methods: The human ovarian cancer cell line (A2780S) was cultured in an RPMI-1640 medium. To determine the inhibitory concentration (IC50), the cells were treated with various concentrations of vitamin D and then incubated for 24, 48, and 72 hours. The effect of drugs on the expression of HE4 gene modification was measured and evaluated using the real-time polymerase chain reaction and a 2-ΔΔCT method, respectively. Results: The IC50 value for vitamin D was 0.359 μM, and the maximum death rates were observed after 24 hours (56.20 ± 5.79). The HE4 gene expression treated with vitamin D increased compared with the cells in the control group (Fold change > 1). Conclusion: Vitamin D decreases the viability of A2780S cells, whereas the expression of the HE4 gene is improved in cells treated with vitamin D compared to control cells, indicating that vitamin D may be unable to modify A2780S cells.

show abstract

“…DisscussionEpigenetics is the premise of studying heritable changes in gene expression and function that arise through certain mechanisms that do not involve DNA sequence alterations, including primarily regulatory mechanisms such as DNA methylation, histone modi cations, and RNA editing(Portela & Esteller, 2010).As research has progressed, it has been found that epigenetic inheritance plays an important role in the development of a variety of major diseases(Navarro et al, 2014;Sarkargar, Mazaheri, Zare, & Hajihosseini, 2021; Szukiewicz et al, 2021). A number of studies have demonstrated the in uence of genetic and epigenetic modi cations on tumor initiation and progression in ovarian cancer, endometrial cancer, as well as cervical cancerIn contrast to gene mutations, epigenetics does not act by altering the genomic sequence, but by methylating modi cations, histone modi cations, miRNA regulation, etc.…”

mentioning

confidence: 99%

Epigenetic Mechanism and Survival Prognosis Analysis of Serum Exosomes from Ovarian Cancer Patients based on Sequencing Technology and Bioinformatics

Huang

2021

Preprint

View full text Add to dashboard Cite

Backguound: To screen the signaling axis of epigenetic modification in serum exosomes of ovarian cancer patients based on sequencing technology and raw signal analysis, in depth study of the potential mechanism of action of ovarian cancer, prediction of potential therapeutic targets and survival prognosis analysis of potential targets.Methods: Serum exosomes from three ovarian cancer patients were selected as the experimental group, and serum exosomes from three uterine fibroid patients as the control group, and whole transcriptome of serum exosomes was performed to obtain differentially expressed lncRNA and mRNA in ovarian cancer,The miRcode database and miRNA target gene prediction website were used to predict the target genes, Cytoscape software was used to draw a ceRNA network model of epigenetic modification of ovarian cancer serum exosomes, and the R language was used for GO and KEGG enrichment analysis of the target genes. Finally, the TCGA website was used to download clinical and expression data related to ovarian cancer, and the common potential target genes obtained in the previous period were analyzed for survival。Results: A total of 117 differentially expressed lncRNAs as well as 513 differentially expressed mRNAs (P < 0.05, |log2 FC|≥ 1.0) were obtained by combining sequencing data and raw signal analysis, and 841 predicted target genes were reciprocally mapped by combining mircode database and miRNA target gene prediction website, resulting in 11 potential target genes related to ovarian cancer (FGFR3, BMPR1B, TRIM29, FBN2, PAPPA, CCDC58, IGSF3, FBXO10, GPAM, HOXA10, LHFPL4), and survival prognosis analysis of the above 11 target genes revealed that the survival curve was statistically significant (P < 0.05) for HOXA10 only genes, but not for the other genes, and through enrichment analysis, we found that the above target genes were mainly involved in biological processes such as regulation of transmembrane receptor protein kinase activity, structural molecule activity with elasticity, transforming growth factor - activated receptor activity, and GABA receptor binding, and were mainly enriched in signaling pathways regulating stem cell pluripotency, bladder cancer, glycerolipid metabolism, central carbon metabolism of cancer, tyrosine stimulation to EGFR in signaling pathways such as resistance to enzyme inhibitors.Conclusions: The serum exosomal DIO3OS-hsa-miR-27a-3p-HOXA10 epigenetic modification signaling axis affects ovarian cancer development and disease survival prognosis by targeting transcriptional dysregulation pathways in cancer.

show abstract

Investigation of epigenetic modifier on HDAC1 and microRNA-410 expression in ovarian cancer cell lines

Cited by 3 publications

References 17 publications

Analysis of Competitive Endogenous Mechanism and Survival Prognosis of Serum Exosomes in Ovarian Cancer Patients Based on Sequencing Technology and Bioinformatics

Analysis of Competitive Endogenous Mechanism and Survival Prognosis of Serum Exosomes in Ovarian Cancer Patients Based on Sequencing Technology and Bioinformatics

An investigation of the anti-cancer effects of vitamin D on the expression of HE4 gene and the viability of ovarian cancer cell line A2780S

Epigenetic Mechanism and Survival Prognosis Analysis of Serum Exosomes from Ovarian Cancer Patients based on Sequencing Technology and Bioinformatics

Contact Info

Product

Resources

About