Shared biological features between ovarian cancer and endometriosis based on co-expression networks analysis
This study identified shared molecular markers between ovarian cancer and endometriosis by analyzing co-expression networks and gene expression, revealing enrichment in inflammatory response and cell projection pathways.
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The provided text consists of metadata, access options, and publication details for an article titled "Shared biological features between ovarian cancer and endometriosis based on co-expression networks analysis," rather than the full scientific manuscript. Consequently, specific methodological details, study populations, key findings, or limitations are not available in the source material to summarize. The content confirms the article was published in the Journal of Endometriosis and Pelvic Pain Disorders but lacks the abstract or body text required for a substantive research summary. This paper is centrally about endometriosis, as indicated by its title and journal focus, though the specific biological mechanisms or co-expression network results cannot be detailed from the provided excerpt.
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References (24)
- Aberrant gene expression profile in a mouse model of endometriosis mirrors that observed in women via openalex
- Endometriosis: A general review and rationale for surgical therapy via openalex
- Endometriosis and possible inflammation markers via openalex
- Endometriosis: An Inflammatory Disease That Requires New Therapeutic Options via openalex
- Endometriosis-associated ovarian cancer: What have we learned so far? via openalex
- Integrating the dysregulated inflammasome-based molecular functionome in the malignant transformation of endometriosis-associated ovarian carcinoma via openalex
- Progressive development of endometriosis and its hindrance by anti-platelet treatment in mice with induced endometriosis via openalex
- Systems genetics view of endometriosis: a common complex disorder via openalex
- Weighted Gene Co-expression Network Analysis of Endometriosis and Identification of Functional Modules Associated With Its Main Hallmarks via openalex
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