A bioinformatics analysis of gene expression in endometrial cancer, endometriosis and obesity

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AI-generated summary by claude@2026-06, 2026-06-09

This bioinformatics analysis identified shared genetic links between endometrial cancer, endometriosis, and obesity, highlighting IGF-1 as a potential prognostic marker for endometrial cancer and recurrent hub gene alterations as therapeutic targets.

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Abstract

< .05). Frequent mutations were observed in these hub genes, suggesting their critical role in disease mechanisms. This study highlights genetic links among EC, ENDO, and OBY, emphasizing high IGF-1 expression as a potential prognostic marker in EC and recurrent alterations in hub genes as promising therapeutic targets. These findings provide insights into the shared genetic underpinnings of these conditions and present new avenues for targeted therapies.

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Computational Biology Computational Biology Computational Biology Computational Biology Computational Biology Computational Biology Computational Biology Computational Biology Computational Biology Computational Biology Computational Biology Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (59)

Cited by (2)

Source provenance

europepmc
last seen: 2026-06-04T01:30:01.192114+00:00
openalex
last seen: 2026-06-04T00:00:01.174412+00:00
pubmed
last seen: 2026-05-27T00:32:02.688162+00:00
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