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Updated: Apr 26, 2026
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
A Novel Nomogram Incorporating the Aggregate Index of Systemic Inflammation, Clinicopathological Parameters and
Chenfan Tian1, Na Zeng2, Yuan Tu1
1Chongqing Key Laboratory of Maternal and Fetal Medicine, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical, Chongqing, China.
Abstract:
This study evaluated the aggregate index of systemic inflammation (AISI) for predicting postoperative recurrence in endometrial cancer (EC). A total of 1557 patients were enrolled and divided into training (n = 1030) and validation (n = 527) cohorts. The optimal AISI cutoff was determined by ROC curve analysis. Multivariate Cox regression identified eight independent prognostic factors for recurrence-free survival (all p < 0.05): age ≥ 60 (HR = 1.683, 95% CI 1.191-2.377), FIGO stage III (HR = 2.346, 95% CI 1.480-3.718), LVSI (HR = 1.792, 95% CI 1.226-2.618), CA125 ≥ 35 U/mL (HR = 1.457, 95% CI 1.030-2.062), deep myometrial invasion (HR = 2.021, 95% CI 1.393-2.930), histological type II (HR = 1.798, 95% CI 1.219-2.653), p53 abnormal (HR = 3.252, 95% CI 2.142-4.936), and high AISI (HR = 2.492, 95% CI 1.714-3.625). A prognostic nomogram incorporating these factors was constructed and validated, demonstrating superior predictive accuracy compared to conventional methods. Adjuvant therapy significantly improved outcomes in high-risk patients identified by the nomogram. This comprehensive tool enhances risk stratification and may guide personalized treatment planning.
