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. 2017 Sep 21;16(5):1062-1071.
doi: 10.5114/aoms.2017.70250. eCollection 2020.

Novel hematological biomarkers predict survival in renal cell carcinoma patients treated with nephrectomy

Affiliations

Novel hematological biomarkers predict survival in renal cell carcinoma patients treated with nephrectomy

Paweł Rajwa et al. Arch Med Sci. .

Abstract

Introduction: The association between novel blood-based inflammatory indices and patient survival has been reported with reference to various cancers. The aim of this study was to investigate the prognostic value of preoperative platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), derived neutrophil-lymphocyte ratio (dNLR) and lymphocyte-monocyte ratio (LMR) in patients with renal cell carcinoma (RCC) treated with nephrectomy.

Material and methods: From 2003 to 2012, 455 patients who underwent partial or radical nephrectomy for RCC were enrolled in the study. The study endpoints were overall survival (OS) and cancer-specific survival (CSS).

Results: The median follow-up was 70 months. Groups of patients with high levels of PLR, NLR and dNLR and a low level of LMR more often underwent radical nephrectomy, had a higher cancer stage in the TNM classification, and were more frequently diagnosed with tumor necrosis in histopathological examination. Both cancer-specific mortality and overall mortality were significantly higher in patients with high PLR, NLR and dNLR and low LMR. Multivariate analysis of CSS, adjusted for standard clinicopathological factors, identified only dNLR (p = 0.006) as an independent prognostic factor. PLR (p = 0.0002), dNLR (p = 0.0003) and NLR (p = 0.002), but not LMR (p = 0.1), achieved prognostic significance in multivariable analysis regarding OS.

Conclusions: Only dNLR was an independent prognostic factor for CSS and OS. Nevertheless, our study indicates that all examined complete blood count-based biomarkers may be useful tools in managing RCC patients treated with a surgical approach.

Keywords: derived neutrophil-lymphocyte ratio; lymphocyte-monocyte ratio; neutrophil-lymphocyte ratio; platelet-lymphocyte ratio; renal cell cancer; renal cell carcinoma.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Distribution of PLR (A), NLR (B), dNLR (C) and LMR (D) values in the whole group of patients
Figure 2
Figure 2
Receiver operating characteristic (ROC) curves for PLR, NLR, dNLR and LMR in predicting CCS
Figure 3
Figure 3
Receiver operating characteristic (ROC) curves for PLR, NLR, dNLR and LMR in predicting OS
Figure 4
Figure 4
Cancer-specific survival in patients with low and high values of PLR (A), NLR (B), dNLR (C) and LMR (D) – Kaplan-Meier curves
Figure 5
Figure 5
Overall survival in patients with low and high values of PLR (A), NLR (B), dNLR (C) and LMR (D) – Kaplan-Meier curves

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