Conclusion
Our findings suggest a potential use of GRN and FN1 as clinical biomarkers to detect endometriosis. In addition, GRN, NOTCH3, FN1, and PINK1 could potentially be useful to differentiate between the underlying stages of the disease. However, a validation with a larger study population is needed.
Methods
We analyzed eutopic endometrial tissue samples from women undergoing a laparoscopic surgery (n = 58). mRNA gene expression of progranulin (GRN), neurogenic locus notch homolog protein (NOTCH3), fibronectin (FN1), and PTEN-induced kinase 1 (PINK1) was analyzed using qRT-PCR. Protein expression was determined using ELISA and immunohistochemistry.
Purpose
Endometriosis (EM) is a common gynecological disease affecting 10-15% of women of reproductive age. However, molecular mechanisms and pathogenesis are still not completely understood. Furthermore, due to the absence of a reliable clinical biomarker, the only viable method for the often-delayed definitive diagnosis is laparoscopic surgery. Our objective was to analyze molecular differences of selected endometrial proteins and genes of women suffering from different stages of EM compared with healthy women to evaluate potential clinical biomarkers.
Results
Significant differences in gene expression between the different stages of the disease were noted for GRN, NOTCH3, FN1, and PINK1 (p < 0.05). The endometrium of women with minimal EM (ASRM I) showed the highest mRNA expression. Protein levels of GRN and FN1 on the other hand were significantly decreased in the endometrium of women with EM compared with those of healthy controls. Furthermore, for GRN and FN1, we could detect a correlation of protein expression with the severity of the disease.