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Integrated bioinformatics analysis and machine learning identifies FZD4, SRPX2, and COL8A1 as angiogenesis hub genes in endometriosis.

This study aims to identify angiogenesis-associated genes (AAGs) in endometriosis (EM) by integrating bioinformatics analysis with machine learning, and to investigate their underlying mechanisms. Differentially expressed genes (DEGs) were screened …

Published: Oct. 26, 2025, midnight
Circular RNAs in Endometriosis: from Expression Pattern To Pathogenesis.

Published: Sept. 23, 2025, midnight
Combination of circular RNA-miRNA-mRNA expression profiles and bioinformatic analysis in ovarian endometriosis.

Endometriosis is a mysterious disease that affects 5 %-10 % of the women of reproductive age. Circular RNAs (circRNAs), a type of noncoding RNA, are involved in its progression, yet …

Published: Sept. 15, 2025, midnight
Hepatoma-derived growth factor and non-coding RNA network in ovarian cancer patients.

Ovarian cancer (OC) remains the most lethal gynecologic malignancy due to late diagnosis and limited effective biomarkers. Hepatoma-derived growth factor (HDGF) has emerged as an oncogene implicated in tumor progression, …

Published: July 18, 2025, midnight
Unraveling shared diagnostic genes and cellular microenvironmental changes in endometriosis and recurrent implantation failure through multi-omics analysis.

Endometriosis and Recurrent Implantation Failure (RIF) are both pivotal clinical issues within the realm of reproductive medicine, sharing significant overlap in their pathophysiological mechanisms. However, research exploring the commonalities between …

Published: March 17, 2025, midnight
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