Prognostic Value of the Systemic Inflammatory Response Index in Patients Undergoing Radical Cystectomy for Bladder Cancer: A Population-Based Study

Frontiers in Oncology

Bin Su¹  Xinran Song²  Chaozhao Liang³  Weiyi Li⁴  Changxiu Tian⁴  Keyi Wang⁴  Houliang Zhang⁴  Jinbo Xie⁴  Yifan Zhang⁴  Bo Peng⁴  Jun Xie⁶  Jinliang Ni⁶ 

[1] Department of Blood Transfusion, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China;Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China;Department of Urology, First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China;Department of Urology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China;Department of Urology, Shanghai Tenth People’s Hospital, Tongi University, Shanghai, China;Shanghai Clinical College, Anhui Medical University, Hefei, China;

关键词: systemic inflammation response index;    bladder cancer;    radical cystectomy;    nomogram;    prognosis;   

DOI  :  10.3389/fonc.2021.722151

来源: DOAJ

【 摘 要 】

PurposeThe aim of this study was to evaluate the prognostic significance of the systemic inflammatory response index (SIRI) in patients with bladder cancer (BCa) treated with radical cystectomy (RC) and develop a survival predictive model through establishing a nomogram.Materials and MethodsA total of 203 BCa patients who underwent RC were included in this study. The relationship between the SIRI and overall survival (OS), disease-free survival (DFS), and clinicopathological features were evaluated. Cox regression analysis was performed to investigate the effect of the factors on the OS and DFS. The results were applied in the establishment of a nomogram. Receiver operating characteristic (ROC) curves, decision curve analysis (DCA) curves, and calibration curves were performed to assess the predictive performance and accuracy of the nomogram, respectively.ResultsAccording to the classification of the SIRI, 81 patients (39.9%) were assigned to SIRI grade 1, 94 patients (46.3%) to SIRI grade 2, and the remaining 28 patients (13.8%) to SIRI grade 3. Multivariate Cox regression revealed that a higher SIRI grade was significantly associated with a poor prognosis and served as an independent prognostic factor for the OS [Grade 2 vs Grade 1, odds ratio = 2.54, 95% confidence interval (CI),1.39–4.64, P = 0.002; Grade 3 vs Grade 1, odds ratio = 4.79, 95%CI: 2.41–9.50, P < 0.001] and DFS [Grade 2 vs Grade 1, odds ratio = 2.19, 95% CI, 1.12–4.31, P = 0.023; Grade 3 vs Grade 2, odds ratio = 3.36, 95%CI, 1.53–7.35, P = 0.002]. The ROC and DCA analysis indicated that the nomogram based on the SIRI contained a better predictive performance compared with the TNM stage (AUC = 0.750 and 0.791; all P < 0.05). The ROC analysis showed that nomograms can better predict the 3- and 5-year OS and DFS. The calibration curves exhibited a significant agreement between the nomogram and the actual observation.ConclusionSIRI as a novel independent prognostic index and potential prognostic biomarker can effectively improve the traditional clinicopathological analysis and optimize individualized clinical treatments for BCa patients after RC.

【 授权许可】

Unknown