Evidence map›Paper›PMID 33752642›Full record

ArticleBMC urology2021

Prognostic significance of preoperative neutrophil-to-lymphocyte ratio in papillary renal cell carcinoma patients after receiving curative surgery based on a retrospective cohort.

Zhilei Zhang, Yongbo Yu, Jilu Zheng, Mingxin Zhang, Haitao Niu

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Article in BMC urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

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5 authors.

Zhilei ZhangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Yongbo YuDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Jilu ZhengDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Mingxin ZhangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Haitao NiuDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China. niuht0532@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory response biomarkers have been studied as promising prognostic factors in renal cell carcinoma, but few studies have focused on papillary renal cell carcinoma (PRCC). This study was performed to evaluate the prognostic value of the preoperative neutrophil-to-lymphocyte ratio (NLR) in PRCC patients.

methodsIn total, 122 postoperative PRCC patients selected from 366 non-clear cell renal cell carcinoma patients were enrolled from our institution between 2012 and 2020. The optimal cutoff value of the NLR was assessed by receiver operating characteristic (ROC) curve analysis, and the Kaplan-Meier method and Cox's proportional hazards regression models were performed to analyze the association of the NLR with overall survival (OS). In addition, the potential of tumor-node-metastasis (TNM) stage, the NLR and an NLR-TNM system to predict survival were compared with ROC curves, and clinical usefulness of the predicting models were assessed by decision curve analysis.

resultsA threshold value of 2.39 for the NLR for OS analysis was determined by ROC curve analysis. An NLR ≥ 2.39 was associated with a more advanced TNM stage (P < 0.01) and larger tumors (P < 0.05) than a low NLR, as well as pathological subtype II (P < 0.05), and the patients with a high NLR also exhibited significantly worse overall survival outcomes (P < 0.05). The NLR was determined to be a significant independent prognostic indicator by univariable and multivariable analyses (HR = 5.56, P < 0.05). Furthermore, TNM stage and the NLR were integrated, and the area under the curve (AUC) of for the NLR-TNM system was larger than that of for the TNM system when predicting overall survival (0.84 vs 0.73, P = 0.04). Decision curve analysis also demonstrated a better clinical value for the NLR-TNM model to predict the prognosis.

conclusionA high preoperative NLR was associated with poor clinical and pathologic parameters in patients with PRCC; moreover, the NLR was also an independent prognostic factor for the OS of patients with PRCC. The NLR-TNM system, which was a model that integrated the NLR with TNM staging, could improve the ability to predict overall survival.

Indexed as

LymphocytesNeutrophilsAdolescentAdultAgedAged, 80 and overCarcinoma, Renal CellChildCohort StudiesFemaleHumansKidney NeoplasmsLeukocyte CountMaleMiddle AgedPreoperative PeriodNeutrophil-to-lymphocyte ratio (NLR)Overall survival (OS)Papillary renal cell carcinoma (PRCC)

Identifiers

PMID33752642
PMCPMC7983378

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