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Bioinformatics-Based Identification of Differentially Expressed Genes in Endometrial Carcinoma: Implications for Early Diagnosis and Prognostic Stratification - Frontiers

Bioinformatics-Based Identification of Differentially Expressed Genes in Endometrial Carcinoma: Implications for Early Diagnosis and Prognostic Stratification Frontiers

Published: Aug. 29, 2025, 6:56 p.m.
Identification of key genes associated with infertile endometriosis based on bioinformatic analysis.

Endometriosis is a common disease among women of childbearing age. However, the molecular mechanism behind it is still unknown. Therefore, new biomarkers and therapeutic targets are needed to improve the …

Published: July 23, 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
Bioinformatics analysis to identify environmental endocrine chemicals that target endometriosis genes.

Endometriosis (EMS) significantly impacts women's health and is influenced by genetic factors and environmental endocrine-disrupting chemicals (EDCs), which interfere with hormonal balance. Using the Gene Expression Omnibus database, we identified …

Published: April 4, 2025, midnight
A new perspective on endometriosis: Integrating eQTL mendelian randomization with transcriptomics and single-cell data analyses.

Endometriosis is caused by the migration of endometrial cells to locations outside the uterine lining. Despite the increasing prevalence of endometriosis, there has been limited research on genetic effects, and …

Published: March 26, 2025, midnight
Identification of FZD7 as a potential ferroptosis-related diagnostic gene in endometriosis by bioinformatics analysis.

An increasing number of research have suggested that ferroptosis plays an important role in endometriosis (EMS). This study was to identify a ferroptosis-related diagnosis gene in EMS by using bioinformatics. …

Published: Feb. 28, 2025, midnight
Figure 4. Differentially expressed genes between migrated and... - ResearchGate

Figure 4. Differentially expressed genes between migrated and... ResearchGate

Published: Feb. 24, 2025, 5:40 p.m.
Overexpression of FOS enhances the malignant potential of eutopic endometrial stromal cells in patients with endometriosis‑associated ovarian cancer.

Endometrial cysts of the ovary (EMC) may develop into endometriosis (EM)‑associated ovarian cancer over time (EAOC), but the pathogenesis of this disease has not been determined. In the present study, …

Published: Feb. 21, 2025, midnight
A transcriptomic analysis of the interplay of ferroptosis and immune filtration in endometriosis and identification of novel therapeutic targets.

Endometriosis is an inflammatory disease, involving immune cell infiltration and production of inflammatory mediators. Ferroptosis has recently been recognized as a mode of controlled cell death and the iron overload …

Published: Jan. 7, 2025, midnight
Identification of common diagnostic genes and molecular pathways in endometriosis and systemic lupus erythematosus by machine learning approach and in vitro experiment.

Growing research suggests that endometriosis and systemic lupus erythematosus (SLE) are both chronic inflammatory diseases and closely related, but no studies have explored their common molecular characteristics and underlying mechanisms. …

Published: Jan. 1, 2025, midnight
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