A gene-based predictive model for lymph node metastasis in cervical cancer: superior performance over imaging techniques
The predictive model developed in this study, based on gene expression data, significantly improves the preoperative assessment accuracy of LNM in cervical cancer. Compared to traditional imaging techniques, this model shows superior sensitivity and accuracy. This study provides a robust foundation for developing precise diagnostic tools, paving the way for future clinical applications in individualized treatment planning.
Authors
- Dongdong Ye (ORCID: https://orcid.org/0000-0002-3377-0656)
- Chuying Huo (ORCID: https://orcid.org/0000-0003-3513-4271)
- Huaiwu Lu (ORCID: https://orcid.org/0000-0002-7668-3333)
- Dongdong Xu (ORCID: https://orcid.org/0009-0001-9546-3029)
- Yunyun Liu (ORCID: https://orcid.org/0000-0001-8437-6803)
- Xibo Zhao (ORCID: https://orcid.org/0000-0002-7103-5273)
- Xuanwei Peng
Institutions
- Sun Yat-sen University (CN)
- Guangdong Province Stomatological Hospital (CN)
- Sun Yat-sen Memorial Hospital (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1186/s12967-025-06327-3
- Citations
- 2
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.11
Funders
- Beijing Xisike Clinical Oncology Research Foundation
- Guangdong Medical Research Foundation
- Basic and Applied Basic Research Foundation of Guangdong Province