Evaluation of NF1 and RASA1 gene expression in endometriosis

Dissecting the shared genetic architecture between endometriosis and polycystic ovary syndrome

Background

Previous study suggested evidence for coexistence and similarities between endometriosis and polycystic ovary syndrome (PCOS), but it is unclear regarding the shared genetic architecture and causality underlying the phenotypic similarities observed for endometriosis and PCOS.

Methods

By leveraging summary statistics from public genome-wide association studies regarding endometriosis (European-based: N=470,866) and PCOS (European-based: N=210,870), we explored the genetic correlation that shared between endometriosis and PCOS using linkage disequilibrium score regression. Shared risk SNPs were derived using PLACO (Pleiotropic analysis under composite null hypothesis) and FUMA (Functional Mapping and Annotation of Genetic Associations). The potential causal association between endometriosis and PCOS was investigated using two-sample Mendelian randomization (MR). Linkage disequilibrium score for the specific expression of genes analysis (LDSC-SEG) were performed for tissue enrichment analysis. The expression profiles of the risk gene in tissues were further examined.

Results

A positive genetic association was observed between endometriosis and PCOS. 12 significant pleiotropic loci shared between endometriosis and PCOS were identified. Genetic associations between endometriosis and PCOS were particularly enriched in uterus, endometrium and fallopian tube. Two-sample MR analysis further indicated a potential causative effect of endometriosis on PCOS, and vice versa. Microarray and RNA-seq verified the expressions of SYNE1 and DNM3 were significantly altered in the endometrium of patients with endometriosis or PCOS compared to those of control subjects.

Conclusion

Our study indicates the genetic correlation and shared risk genes between PCOS and endometriosis. These findings provide insights into the potential mechanisms behind their comorbidity and the future development of therapeutics.

Evaluation of Rap1GAP and EPAC1 Gene Expression in Endometriosis Disease

Background

Endometriosis is a female reproductive system disease in which the endometrial tissue is found in other women's organs. Various factors are effective in the development of endometriosis, and because of the interaction of genetics and environmental factors, this disease is a multi-factorial disease. MAPK/ERK and PI3K/Akt/mTOR pathways are activated by growth factors and steroid hormones and are known as two important pathways involved in the processes of growth, proliferation, and survival of endometriosis cells. Raps, monomeric GTPase of the Ras family, are able to activate these pathways independent of Ras. The goal of our study was to evaluate the expression level of Rap1GAP and EPAC1 genes as two important RapGAPs (GTPase-activating proteins) and RapGEFs (guanine nucleotide exchange factors), respectively, in endometriosis tissues and normal endometrium tissues.

Materials and Methods

In this study, 15 samples of women without signs of endometriosis were taken as control samples. Fifteen ectopic and 15 eutopic samples were taken from women with endometriosis using laparoscopic surgery. The expression of EPAC1 and Rap1GAP genes was investigated by the real-time polymerase chain reaction technique, and the results were analyzed by one-way ANOVA test.

Results

EPAC1 upregulated significantly in ectopic tissues compared to eutopic and control tissues. Rap1GAP expression was lower in ectopic tissues compared to control and eutopic tissues.

Conclusions

Based on these results, it may be concluded that changes in the expression of the Rap1GAP and Epca1 genes may play a role in the pathways involved in the pathogenesis, displacement, and migration of endometriosis cells.

Evaluation of the relationship between miR-1271 and GRB2 gene in endometriosis

BACKGROUND

Endometriosis is a common gynecological condition with a substantial economic burden on society. It is known that both genetic and environmental factors are contributing to the phenotypic development of the disease. MicroRNAs have a vital role in the pathogenesis of endometriosis. miR-1271 and its direct target gene, GRB2 (growth factor receptor-bound protein 2), expression have been studied in gynecologic cancers, while their role in endometriosis has not been studied.

OBJECTIVE

We measured miR-1271 and GRB2 gene expression in the eutopic and ectopic tissues of patients (endometrial tissues) in contrast to the control samples from healthy women.

MATERIALS AND METHODS

In this study, a total of 45 samples (15 control samples, 15 eutopic samples and 15 ectopic samples) were collected. We used qRT-PCR (quantitative polymerase chain reaction) to evaluate the expression levels of the miR-1271 and GRB2 gene.

RESULTS

We observed inverse expression of miR-1271 and GRB2 gene. MiR-1271 expression was significantly reduced in patients with endometriosis compared with healthy women. While there was a noticeable increase in the expression level of its target gene, GRB2, in tissues of endometriosis patients compared with normal control samples.

CONCLUSION

We have shown an inverse relationship between the reduction of miR-1271 expression level and increase in the expression level of GRB2, therefore, increased GRB2 expression in endometriosis tissues can be due to decreased expression of this microRNA. Our findings suggested that miR-1271 maybe play a role as a biomarker in the diagnosis of patients with endometriosis.