Construction and validation of log odds of positive lymph nodes (LODDS)-based nomograms for predicting overall...

Area of Science:

• Oncology
• Gynecologic Oncology
• Cancer Prognostics

Background:

• Ovarian clear cell carcinoma (OCCC) is a distinct subtype of ovarian cancer.
• Accurate prognostic tools are crucial for managing OCCC patients.

Purpose of the Study:

• To construct and validate log odds of positive lymph nodes (LODDS)-based nomograms for predicting overall survival (OS) and cancer-specific survival (CSS) in OCCC patients.
• To assess the prognostic reliability and clinical utility of these nomograms.

Main Methods:

• Utilized data from the Surveillance Epidemiology and End Results (SEER) database and the First Affiliated Hospital of Dalian Medical University.
• Employed stepwise Cox regression, Kaplan-Meier method, and log-rank tests for model development and validation.
• Assessed nomogram performance using calibration plots, decision curve analysis (DCA), and receiver operating characteristic (ROC) curves.

Main Results:

• Identified significant risk factors for OS (T stage, distant metastasis, marital status, LODDS) and CSS (age, T stage, stage, LODDS).
• Developed nomograms predicting 1-, 3-, and 5-year OS and CSS with high predictive accuracy (AUC range 0.738-0.794).
• Validated nomogram performance in internal and external cohorts, demonstrating good prognostic reliability.

Conclusions:

• Constructed and validated predictive nomograms for OS and CSS in OCCC patients.
• These nomograms offer valuable prognostic information.
• The tools can guide postoperative personalized care for OCCC patients.