Identification and Analysis of Potential Immune-Related Biomarkers in Endometriosis DOI Creative Commons
Yanan He, Jixin Li,

Yanjun Qu

и другие.

Journal of Immunology Research, Год журнала: 2023, Номер 2023, С. 1 - 21

Опубликована: Янв. 10, 2023

Background. Endometriosis is an inflammatory gynecological disease leading to deep pelvic pain, dyspareunia, and infertility. The pathophysiology of endometriosis complex depends on a variety biological processes pathways. Therefore, there urgent need identify reliable biomarkers for early detection accurate diagnosis predict clinical outcomes aid in the intervention endometriosis. We screened transcription factor- (TF-) immune-related gene (IRG) regulatory networks as potential reveal new molecular subgroups Methods. To explore therapeutic targets endometriosis, Gene Expression Omnibus (GEO), Immunology Database Analysis Portal (ImmPort), TF databases were used obtain data related recognition differentially expressed genes (DEGs), IRGs (DEIRGs), TFs (DETFs). Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) pathway enrichment analyses performed DETFs DEIRGs. Then, DEIRGs further validated external datasets GSE51981 GSE1230103. we quantitative real-time polymerase chain reaction (qRT-PCR) verify hub genes. Simultaneously, Pearson correlation analysis protein-protein interaction (PPI) indicate mechanisms TF-IRGs at level IRGs. Finally, receiver operating characteristic (ROC) curve was assess diagnostic value Results. total 94 121 Most downregulated showed decreased expression endometria moderate/severe patients. top-ranked upregulated endometra infertile women. Functional that may be involved behaviors pathways TF-IRG PPI network successfully constructed. Compared with control group, high C3, VCAM1, ITGB2, C3AR1 had statistical significance among They also higher sensitivity specificity by ROC compared controls, C3 VCAM1 highly tissue samples. In addition, they diagnosing Conclusion. Overall, discovered analyzed 4 closely which contributes Additionally, verified or associated clinicopathological features confirmed samples controls are helpful

Язык: Английский

Focal 68Ga-FAPI-04 Uptake in Endometriosis at the Rectouterine Pouch DOI

Yuheng Zou,

Hongbo Hu, Rong Tian

и другие.

Clinical Nuclear Medicine, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Endometriosis is a benign condition characterized by chronic inflammation and fibrosis. We report the findings of endometriosis at rectouterine pouch on 68 Ga-FAPI-04 PET/CT scan in 25-year-old woman. The finding was initially thought as peritoneal metastasis from her newly diagnosed gastric cancer. However, subsequent pathologic examination confirmed that it endometriosis.

Язык: Английский

Процитировано

1
Identification and Analysis of Potential Immune-Related Biomarkers in Endometriosis DOI Creative Commons
Yanan He, Jixin Li,

Yanjun Qu

и другие.

Journal of Immunology Research, Год журнала: 2023, Номер 2023, С. 1 - 21

Опубликована: Янв. 10, 2023

Background. Endometriosis is an inflammatory gynecological disease leading to deep pelvic pain, dyspareunia, and infertility. The pathophysiology of endometriosis complex depends on a variety biological processes pathways. Therefore, there urgent need identify reliable biomarkers for early detection accurate diagnosis predict clinical outcomes aid in the intervention endometriosis. We screened transcription factor- (TF-) immune-related gene (IRG) regulatory networks as potential reveal new molecular subgroups Methods. To explore therapeutic targets endometriosis, Gene Expression Omnibus (GEO), Immunology Database Analysis Portal (ImmPort), TF databases were used obtain data related recognition differentially expressed genes (DEGs), IRGs (DEIRGs), TFs (DETFs). Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) pathway enrichment analyses performed DETFs DEIRGs. Then, DEIRGs further validated external datasets GSE51981 GSE1230103. we quantitative real-time polymerase chain reaction (qRT-PCR) verify hub genes. Simultaneously, Pearson correlation analysis protein-protein interaction (PPI) indicate mechanisms TF-IRGs at level IRGs. Finally, receiver operating characteristic (ROC) curve was assess diagnostic value Results. total 94 121 Most downregulated showed decreased expression endometria moderate/severe patients. top-ranked upregulated endometra infertile women. Functional that may be involved behaviors pathways TF-IRG PPI network successfully constructed. Compared with control group, high C3, VCAM1, ITGB2, C3AR1 had statistical significance among They also higher sensitivity specificity by ROC compared controls, C3 VCAM1 highly tissue samples. In addition, they diagnosing Conclusion. Overall, discovered analyzed 4 closely which contributes Additionally, verified or associated clinicopathological features confirmed samples controls are helpful

Язык: Английский

Процитировано

10