Prognostic risk factors and the role of systemic inflammatory response index in predicting outcomes for non-muscle-invasive bladder cancer
- Qi Gui 1, Hongwei Guo 2, Taiyang Liu 1, Xiuhua Wen 1, Xiang Jiao 1
- Qi Gui 1, Hongwei Guo 2, Taiyang Liu 1
- 1Department of Urology, Zhumadian Central Hospital Affiliated to Huanghuai University, Zhumadian, Henan, China.
- 2College of Biological and Food Engineering, Huanghuai University, Zhumadian, Henan, China.
- 0Department of Urology, Zhumadian Central Hospital Affiliated to Huanghuai University, Zhumadian, Henan, China.
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View abstract on PubMed
Summary
This summary is machine-generated.The systemic inflammatory response index (SIRI) predicts non-muscle-invasive bladder cancer (NMIBC) progression but not recurrence. Combining SIRI with traditional factors improves risk stratification for personalized NMIBC management.
Area Of Science
- Oncology
- Urology
- Inflammation Biomarkers
Background
- Non-muscle-invasive bladder cancer (NMIBC) has variable prognosis and recurrence/progression risks.
- Traditional clinicopathological factors offer limited prognostic accuracy for NMIBC.
- Novel biomarkers are needed for improved NMIBC risk stratification.
Purpose Of The Study
- To evaluate the prognostic role of the systemic inflammatory response index (SIRI).
- To assess SIRI's ability to predict outcomes in NMIBC patients.
- To compare SIRI with traditional risk factors for NMIBC prognosis.
Main Methods
- Retrospective analysis of 158 NMIBC patients undergoing transurethral resection of bladder tumor (TURBT).
- Stratification into recurrence/non-recurrence and progression/non-progression groups.
- Receiver operating characteristic (ROC) analysis for SIRI cutoff, Kaplan-Meier survival, and Cox regression for progression-free survival (PFS).
Main Results
- Optimal SIRI cutoff for progression prediction was 0.716 (AUC=0.689).
- High SIRI (≥0.716) correlated with significantly higher progression risk and poorer PFS.
- Multivariate analysis identified high SIRI, tumor count, and primary diagnosis as independent predictors of PFS. High SIRI also increased recurrence rates in Ta and T1 subgroups.
Conclusions
- SIRI is a significant predictor of NMIBC progression, but not recurrence-free survival (RFS).
- Integrating SIRI with clinicopathological factors enhances risk stratification for NMIBC.
- SIRI aids in personalized management strategies for NMIBC patients.
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