A novel prognostic nomogram utilizing the 2018 FIGO staging system for cervical cancer: A large multicenter study
Xiaoyan Tang1,2,3, Chenyan Guo1,2,3, Songping Liu4
1Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Summary
The 2018 FIGO staging system for cervical cancer accurately predicts patient survival. A new nomogram based on this system improves prognostic accuracy for cervical cancer patients.
Area of Science:
- Gynecologic Oncology
- Cancer Staging
- Clinical Prognostics
Background:
- The International Federation of Gynecology and Obstetrics (FIGO) staging system is crucial for cervical cancer management.
- Previous FIGO staging systems have limitations in accurately reflecting prognosis.
- A revised 2018 FIGO staging system was introduced to improve prognostic stratification.
Purpose of the Study:
- To assess the prognostic performance of the revised 2018 FIGO staging system for cervical cancer.
- To develop and validate a predictive nomogram for cervical cancer prognosis based on the 2018 FIGO system.
Main Methods:
- Retrospective multicenter study of 3238 cervical cancer patients (2006-2017).
- Patients were restaged using the 2018 FIGO criteria.
- Multivariate Cox analysis and nomogram construction were performed.
Main Results:
- Restaging identified significant changes in stage for 56.9% of patients.
- A clear trend of decreased recurrence-free survival (RFS) and overall survival (OS) with increasing 2018 FIGO stage was observed.
- The 2018 FIGO stage, parametrial involvement, and histology were independent prognostic factors. Predictive nomograms demonstrated good predictive ability (c-indexes 0.735 for OS, 0.721 for RFS).
Conclusions:
- The 2018 FIGO staging system offers improved prognostic reflection for cervical cancer patients.
- A novel nomogram based on the 2018 FIGO system provides more precise prediction of cervical cancer prognosis.
Related Concept Videos
Cancer Survival Analysis
523
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
523
Tumor Progression
6.9K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.9K


