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The impact of the lymph node density on overall survival in patients with Wilms’ tumor: A SEER analysis

Authors You H, Yang J, Liu Q, Tang L, Bu Q, Pan Z, Lyu J

Received 23 January 2018

Accepted for publication 1 March 2018

Published 6 April 2018 Volume 2018:10 Pages 671—677

DOI https://doi.org/10.2147/CMAR.S163514

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Justinn Cochran

Peer reviewer comments 2

Editor who approved publication: Professor Nakshatri


Haisheng You,1,* Jin Yang,2,3,* Qingqing Liu,2,3 Lina Tang,1 Qingting Bu,4 Zhenyu Pan,5 Jun Lyu2,3

1Department of Pharmacy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China; 2Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China; 3School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, People’s Republic of China; 4Department of Genetics, Northwest Women’s and Children’s Hospital, Xi’an, Shaanxi, People’s Republic of China; 5Department of Pharmacy, The Affiliated Children Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China

*These authors contributed equally to this work

Objective: The objective of this study was to determine the impact of the lymph node density (LND) on overall survival of patients with Wilms’ tumor (WT) using the Surveillance, Epidemiology, and End Results (SEER) database.
Methods: Data from the SEER database were extracted from patients with WT in whom the LND could be obtained. Patients were divided into a low LND group and high LND group. Survival curves based on the LND stratification were plotted using the Kaplan–Meier method and compared with the log-rank test. The impact of prognostic factors on overall survival was analyzed using Cox regression models.
Results: A total of 1,924 patients were identified from the database. Overall survival for the low LND group at 5, 10, and 20 years was significantly better than the high LND group (5-year survival: 94.1% vs 81.4%; 10-year survival: 92.6% vs 80.8%; 20-year survival: 90.6% vs 79.1%; P<0.001). In multivariate analysis, LND was a significant predictor of overall survival, regardless of whether it was a categorical variable or a continuous variable. Other significant predictors included age, race, SEER stage, and tumor laterality.
Conclusion: LND was a significant risk factor for overall survival of patients with WT. LND may provide a better prediction of the prognosis of WT patients and may be helpful for designing better treatments.

Keywords: Wilms’ tumor, lymph node density, overall survival
 

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