Expression and clinical significance of LY96 and PTGIS in endometriosis tissue
Objective To investigate the expression and clinical significance of lymphocyte antigen 96(LY96)and prostacyclin synthase(PTGIS)in endometriosis tissues.Methods 83 samples of ectopic and in situ endometrial tissue were collected from patients who underwent surgical treatment for endometriosis at Changshu Traditional Chinese Medicine Hos-pital from January 2021 to June 2023.Additionally,50 samples of normal endometrial tissue from patients who underwent surgical treatment for uterine leiomyoma were selected.qRT-PCR,Western blot,and immunohistochemistry were used to de-tect the expression of LY96 and PTGIS,and immunofluorescence double staining was used to detect the co localization of LY96 and PTGIS.Pearson analysis was used to investigate the correlation between LY96 and PTGIS expression in endome-triosis tissues.Binary logistic regression model is used to analyze the influencing factors of patient prognosis.Results qRT-PCR,Western blot,and immunohistochemistry results showed that the expression levels of LY96 and PTGIS were significantly higher than those in normal tissues(P＞0.05).Correlation analysis showed that the expression of LY96 and PTGIS was posi-tively correlated in both endometrial tissue and endometriosis tissue(r=0.625,r=0.566).Immunofluorescence results showed that LY96 and PTGIS were highly expressed in endometriosis tissue,but there was no co localization.The expression of LY96 and PTGIS in ectopic endometrial tissue was significantly correlated with dysmenorrhea score,r-AFS staging,lesion size,lesion number,and CA125(P＜0.05).The binary Logistic regression model analysis showed that dysmenorrhea score,r-AFS staging,lesion size,lesion number,CA125,LY96,and PTGIS positive expression were independent risk factors for the prog-nosis of endometriosis patients(P＜0.05).Conclusion LY96 and PTGIS are highly expressed in endometriosis tissues and closely related to the clinical pathological characteristics and prognosis of patients,which may serve as potential biomarkers for predicting endometriosis.
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