Observational analysis reveals worse prognosis for bilateral parametrial invasion in cervical cancer, suggesting the role of invasion in survival prediction.
Objective To compare the survival difference between 2018 International Federation of Gynecology and Obsterics (FIGO) stage IIB cervical cancer (CC) patients with Unilateral parametrial invasion (UL) and Bilateral parametrial invasion (BL) disease and explore the significant role of parametrial invasion (PI) in prognosis prediction. Methods A total of 506 stage IIB CC patients were identified from the multi-center study and patients were divided into UL and BL groups according to gynecological and radiological examination. Survival outcomes were estimated and compared between two groups before and after Propensity Scoring Matching (PSM). The role of upper 2/3 vaginal invasion (VI) in impacting survival probability was also assessed. The random forest (RF) model was constructed and validated to select important features related to survival outcomes and predict prognosis for these patients. The SHapley Additive exPlanation (SHAP) was further introduced to provide better understanding towards the findings from RF model. Results Significant better 5-year overall survival (OS) was observed among patients with UL disease whether before [BL : 61.7% (95%CI : 57.0%-66.4%); UL : 84.8% (95%CI : 82.4%-87.2%); HR = 2.83, 95%CI : 1.90-4.20, P < 0.001] or after PSM [BL : 61.3% (95%CI : 56.6%-66.0%); UL : 81.2% (95%CI : 77.3%-85.1%); HR = 2.51, 95%CI : 1.56-4.04, P < 0.001]. Similar findings could also be observed in terms of progression free survival (PFS). The presence of VI didn’t significantly impair the survival probability whether in UL or BL group (All P > 0.05). RF model was constructed, which possessed decent predictive ability both in the training (AUC = 0.893; 95%CI : 0.874-0.912) and validation cohort (AUC = 0.879; 95%CI : 0.801-0.957). PI was identified to be the paramount feature in affecting the survival outcomes for stage IIB CC patients through the Beeswarm summary plot and bar chart in SHAP analysis. Conclusion Our findings demonstrated that 2018 FIGO stage IIB CC patients with BL disease had worse prognosis than those with UL disease and PI was the most significant feature in prognosis prediction for these patients.
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Yang et al. (2025) studied this question.
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