Identification of key genes associated with endometriosis and endometrial cancer by bioinformatics analysis
This comprehensive bioinformatics analysis has successfully identified key genes that may serve as potential biomarkers for EC. These findings significantly enhance our comprehension of the molecular underpinnings of EC pathogenesis and prognosis, and hold promise for the identification of novel drug targets.
Authors
- Ruyue Ma (ORCID: https://orcid.org/0000-0002-1658-6099)
- Ruiheng Zhao
- Jianing Wang (ORCID: https://orcid.org/0000-0003-4709-3091)
- Ruirui Zhang (ORCID: https://orcid.org/0000-0001-8928-4238)
- Lei Zhang (ORCID: https://orcid.org/0000-0001-7769-7377)
- Hong Xu (ORCID: https://orcid.org/0000-0003-1228-3645)
- Yu Zheng
- Zhijia Xie
Institutions
- Soochow University (CN)
- Wuxi Ninth People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-11-22
- DOI
- https://doi.org/10.3389/fonc.2024.1387860
- Citations
- 6
- Primary Topic
- Endometriosis Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- Science and Technology Program of Suzhou