Predictive Value of Pan-immune-inflammation Value for Prognosis of Patients with Resectable Colorectal Cancer
10.3971/j.issn.1000-8578.2023.23.0150
- VernacularTitle:泛免疫炎症值对可切除结直肠癌患者预后的预测价值
- Author:
Xin LIANG
1
;
Xinjun LIANG
;
Shaozhong WEI
Author Information
1. Department of Gastrointestinal Tumor, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430079, China
- Publication Type:Research Article
- Keywords:
Colorectal cancer;
Pan-immune-inflammation value;
Prognosis;
Nomogram
- From:
Cancer Research on Prevention and Treatment
2023;50(5):505-511
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the correlation of the pan-immune-inflammation value (PIV) and the prognosis of patients with resectable colorectal cancer (CRC) and establish a predictive model. Methods A total of 753 patients who underwent primary lesion resection and were pathologically diagnosed with CRC were enrolled. They were randomly divided into training (n=527) and test (n=226) cohorts. The best cutoff value of PIV was determined by the time-dependent receiver operator characteristics curve, and patients were divided into high- and low-level groups to analyze the relationship between the high- and low-level groups of PIV and the clinicopathological characteristics and survival of patients. Chi-square test, Kaplan-Meier survival analysis, and Cox regression analysis were used to evaluate the prognosis. The accuracy of the model was evaluated by C index and Brier score. Results In the univariate model of overall survival (OS), high (> 231) baseline PIV (HR=1.627; 95%CI: 1.155-2.292, P=0.005) suggested that PIV level might be an independent prognostic factor for OS. The nomogram plotted according to PIV had a C index of 0.823. Its calibration curve showed good agreement between predicted and observed outcomes for one- and three-year OS probabilities, with Brier score of 0.035 and 0.068 for OS, respectively. Conclusion PIV can be used as a prognostic marker in patients with resectable CRC, and a novel prognostic model to guide clinical decision-making in CRC is successfully established.
