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Updated: Dec 5, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Predictive Values of Preoperative Prognostic Nutritional Index and Systemic Immune-Inflammation Index for Long-Term
Huifeng Bi1,2, Zhenhua Shang1, Chunsong Jia1
1Department of Urology, Xuanwu Hospital Capital Medical University, Beijing, People's Republic of China.
Purpose:
This study aimed to investigate the associations between the preoperative prognostic nutritional index (PNI), systemic immune-inflammation index (SII) and overall survival (OS) and cancer-specific survival (CSS) in high-risk non-muscle-invasive bladder cancer (NMIBC) patients who received intravesical instillation of Bacillus Calmette-Guerin (BCG) after transurethral resection of bladder tumour (TURBT).
Patients And Methods:
We retrospectively collected data from 387 high-risk NMIBC patients between January 2004 and December 2014. PNI was calculated as total lymphocyte count (109/L)×5+albumin concentration (g/L). SII was calculated as neutrophil count (109/L)×platelet count (109/L)/lymphocyte count (109/L). The cutoff values of PNI and SII were determined through receiver operating characteristic (ROC) analysis. OS and CSS were estimated by Kaplan-Meier analysis. The Log rank test was used to compare differences between the groups. Univariate and multivariate Cox regression analyses were performed to assess the predictive values of PNI and SII for OS and CSS. Additionally, highest-risk NMIBC patients were also divided into low or high groups according to PNI and SII. The OS and CSS of highest-risk NMIBC patients were estimated using Kaplan-Meier analysis with the Log rank test.
Results:
The patients were divided into two groups according to the cutoff values of PNI (<50.17 vs ≥50.17) and SII (<467.76 vs ≥467.76). Kaplan-Meier analysis revealed that low PNI and high SII were associated with poorer OS and CSS in high-risk NMIBC patients. Univariate and multivariate Cox regression analyses revealed that PNI and SII were independent predictive factors for OS and CSS. Kaplan-Meier analysis also revealed that low PNI and high SII were related to poorer OS and CSS in highest-risk NMIBC patients.
Conclusion:
These results suggest that preoperative PNI and SII, based on standard laboratory measurements, may be useful noninvasive, inexpensive and simple tools for predicting the long-term survival of high-risk NMIBC patients who received intravesical instillation of BCG after TURBT.
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