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. 2021 Aug 16:13:6437-6450.
doi: 10.2147/CMAR.S328213. eCollection 2021.

Systemic Inflammation Response Index is an Independent Prognostic Indicator for Patients with Renal Cell Carcinoma Undergoing Laparoscopic Nephrectomy: A Multi-Institutional Cohort Study

Affiliations

Systemic Inflammation Response Index is an Independent Prognostic Indicator for Patients with Renal Cell Carcinoma Undergoing Laparoscopic Nephrectomy: A Multi-Institutional Cohort Study

Weipu Mao et al. Cancer Manag Res. .

Abstract

Background: We conducted a multicenter clinical study to examine the prognostic value of the systemic inflammation response index (SIRI) in renal cell carcinoma (RCC) patients.

Methods: We collected patients who underwent nephrectomy from 2014 to 2019 at three centers (343 in the training group and 100 in the validation group). SIRI was created based on hemoglobin and lymphocyte to monocyte ratio (LMR). Kaplan-Meier curves and receiver operating characteristic (ROC) curves were used to analyze the effect of LMR, hemoglobin and SIRI on overall survival (OS) and cancer-specific survival (CSS) effects.

Results: In both the training and validation groups, SIRI was a better predictor of OS and CSS than LMR and hemoglobin. A total of 192 (56.0%) patients were included in grade 1, 108 (31.5%) in grade 2, and 43 (12.5%) in grade 3 based on SIRI in the training group. Higher SIRI was associated with worse prognosis. Multivariate cox regression analysis showed that SIRI was an independent prognostic risk factor for OS (grade 3 vs grade 1: HR=4.93; 95% CI 2.21-11.00, p < 0.001) and CSS (grade 3 vs grade 1: HR=6.29; 95% CI 2.28-17.39, p < 0.001) in patients with RCC. In addition, SIRI-based prognostic nomograms were able to better predict OS and CSS in RCC patients.

Conclusion: SIRI is an independent prognostic factor for patients undergoing laparoscopic nephrectomy for RCC, and a prognostic nomogram covering SIRI can better predict survival of RCC patients.

Keywords: nomogram; prognostic indicator; renal cell carcinoma; systemic inflammation response index.

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Conflict of interest statement

The authors report no conflicts of interest for this work.

Figures

Figure 1
Figure 1
Kaplan–Meier curves for OS and CSS stratified by LMR and hemoglobin in the training group. (A and C), LMR OS and CSS; (B and D), Hemoglobin OS and CSS.
Figure 2
Figure 2
Kaplan–Meier curves for OS and CSS stratified by SIRI. (A and B), SIRI OS and CSS in the training group; (C and D), SIRI OS and CSS in the validation group.
Figure 3
Figure 3
Comparison of area under ROC curves for LMR, hemoglobin and SIRI in predicting OS and CSS. (A) OS ROC curves in the training group; (B) CSS ROC curves in the training group; (C) OS ROC curves in the validation group; (D) CSS ROC curves in the validation group.
Figure 4
Figure 4
The nomogram predicting 1-year and 3-year OS and CSS rate of RCC patients the training cohort. (A) OS nomogram; (B) CSS nomogram.
Figure 5
Figure 5
Calibration plot of the nomogram for predicting 1-year and 3-year OS and CSS in training cohort. (A) 1-year OS; (B) 1-year CSS; (C) 3-year OS; (D) 3-year CSS.

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