A nomogram model to predict recurrence of early-onset endometrial cancer after resection based on clinical parameters and immunohistochemical markers: a multi-institutional study
Combining clinical parameters and immunohistochemical markers, we developed a robust nomogram to predict RFS after surgery for early-onset EC patients. This nomogram can predict prognosis well and guide treatment decisions.
Authors
- Qingyu Shen (ORCID: https://orcid.org/0000-0001-7294-0251)
- Qian Zhou (ORCID: https://orcid.org/0000-0002-1828-4879)
- Peng Jiang (ORCID: https://orcid.org/0000-0002-6057-7624)
- Jinyu Wang (ORCID: https://orcid.org/0000-0002-8252-307X)
- Yunfeng Zheng (ORCID: https://orcid.org/0000-0002-0694-1026)
- Ran Hu (ORCID: https://orcid.org/0000-0003-2652-2475)
- Rui Yuan
- Fan Yang (ORCID: https://orcid.org/0000-0002-8111-4880)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- Chongqing Maternal and Child Health Hospital (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-11-11
- DOI
- https://doi.org/10.3389/fonc.2024.1442489
- Citations
- 7
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.08