| Title |
Prognostic value of preoperative NLR, dNLR, PLR and CRP in surgical renal cell carcinoma patients
|
|---|---|
| Published in |
World Journal of Urology, June 2016
|
| DOI | 10.1007/s00345-016-1864-9 |
| Pubmed ID | |
| Authors |
Hong Hu, Xiajuan Yao, Xiangcheng Xie, Xia Wu, Chuanming Zheng, Wenkai Xia, Shenglin Ma |
| Abstract |
Emerging evidences indicate that inflammation plays a crucial role in carcinogenesis and tumor progression. Inflammatory response biomarkers are recognized as promising prognostic factors for improving predictive accuracy in renal cell carcinoma (RCC). We aimed to evaluate the prognostic significance of preoperative neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), platelet-to-lymphocyte ratio (PLR) and serum C-reactive protein (CRP) in RCC. 484 surgical RCC patients were enrolled from 2006 to 2010 in this study. Receiver operating curve (ROC) was applied to assess the optimal cutoff levels for four biomarkers, and the prognostic values were determined by Kaplan-Meier curve, univariate and multivariate COX regression models. The predictive accuracy was evaluated by concordance index (c-index). The median follow-up duration after surgical resection was 36 months. The optimal cutoff levels were 2.78 for NLR, 2.05 for dNLR, 185 for PLR and 5.1 for CRP by ROC curves analysis. Elevated NLR, dNLR, PLR and CRP were significantly correlated with worse overall survival (OS). Multivariate analysis showed that elevated NLR was an independent risk factor for OS, and NLR was superior to dNLR, PLR and CRP based on hazard ratio (HR 2.10, 95 % CI 1.21-3.64, P = 0.008). Additionally, the nomogram could more effectively work in predicting OS (c-index: 0.749) in surgical RCC patients. Pre-operation NLR can be considered as a potential prognostic biomarker in patients with RCC who underwent surgical resection. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Other | 8 | 21% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 46% |
| Neuroscience | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Unspecified | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2016.
All research outputs
#17,807,987
of 22,876,619 outputs
Outputs from World Journal of Urology
#1,690
of 2,098 outputs
Outputs of similar age
#240,287
of 339,291 outputs
Outputs of similar age from World Journal of Urology
#18
of 30 outputs
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