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Fibroblast heterogeneity and FN1-mediated signaling in endometriosis revealed by single-cell and spatial transcriptomics.

Endometriosis (EM) is a chronic gynecological disorder that affects 5% to 10% of women of childbearing age, often causing pelvic pain and infertility. Fibrosis is a hallmark of EM progression, …

Published: Oct. 13, 2025, midnight
Identification and Exploration of Novel B Cell Infiltration-Related Biomarkers in Endometriosis.

To explore B cell infiltration-related genes in endometriosis (EM) and investigate their potential as diagnostic biomarkers.

Published: Sept. 10, 2025, midnight
Diagnostic accuracy of combination of CA125 for endometriosis: A network meta-analysis.

Currently, CA125 combined with other biomarkers significantly outperforms CA125 alone in diagnosing endometriosis (EM), but the efficiency of combined diagnosis remains unclear. This network meta-analysis compared the accuracy of CA125 …

Published: Sept. 9, 2025, midnight
Machine learning prediction of clinical pregnancy in endometriosis patients following fresh IVF/ICSI-ET.

Fresh embryo transfer reduces waiting time and minimizes embryo cryodamage for endometriosis (EM) patients. The current prediction models for fresh embryo transfer outcomes in EM primarily rely on logistic regression, …

Published: Sept. 3, 2025, midnight
How transcription factors regulate apoptosis in endometriosis (Review).

Endometriosis (EM) is a common chronic gynaecological disease that affects 10% of women of reproductive age globally. EM is defined as the presence of endometrial glands and stroma in extrauterine …

Published: Aug. 24, 2025, midnight
Association Between Circulating Cytokines and Endometriosis: A Mendelian Randomization Study.

Existing evidence shows the importance of circulating cytokines in studying female reproductive system dysfunction. Endometriosis (EM) is thought to be associated with multiple immune cytokines, but its causality has not …

Published: April 11, 2025, midnight
Identification of biomarkers for endometriosis based on summary-data-based Mendelian randomization and machine learning.

Endometriosis (EM) significantly impacts the quality of life, and its diagnosis currently relies on surgery, which carries risks and may miss early lesions. Noninvasive biomarkers are urgently needed for early …

Published: April 8, 2025, midnight
Characterization of key genes and immune cell infiltration associated with endometriosis through integrating bioinformatics and experimental analyses.

Endometriosis (EM) is the most common gynecological disease in women of childbearing age. This study aims to identify key genes and screen drugs that may contribute to EM treatment.

Published: March 31, 2025, midnight
Association of composite dietary antioxidant index and endometriosis risk in reproductive-age women: a cross-sectional study using big data-machine learning approach.

Endometriosis (EM) is a chronic gynecological disorder characterized by the growth of endometrial-like tissue outside the uterus, leading to pain and infertility. Recent studies suggest that antioxidants may play a …

Published: March 27, 2025, midnight
Clinical efficacy of etonogestrel implants on relieving dysmenorrhea in endometriosis and adenomyosis women for up to 3 years.

Dysmenorrhea and menstrual disorders caused by endometriosis (EM) and adenomyosis (AM) have significantly affected the quality of life of a large number of women. As a highly effective clinical contraceptive …

Published: March 21, 2025, midnight
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