The Prognostic Value of the Number of Negative Lymph Nodes Combined with Positive Lymph Nodes in Esophageal Cancer Patients: A Propensity-Matched Analysis

  • Linghui Zhou
  • , Yang Zhao
  • , Yi Zheng
  • , Meng Wang
  • , Tian Tian
  • , Shuai Lin
  • , Qian Hao
  • , Peng Xu
  • , Yujiao Deng
  • , Na Li
  • , Ying Wu
  • , Tielin Yang
  • , Huafeng Kang
  • , Zhijun Dai

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Background: Currently, the number of negative lymph nodes (NLNs) has been paid increasing attention and is considered a prognostic indicator in diverse cancers. Therefore, it is necessary to explore the association between number of NLNs and prognosis in esophageal cancer (EC) patients. Methods: Our data were obtained from the Surveillance, Epidemiology, and End Results 18 database. The X-tile plot was used to determine the optimal cut-off value of the number of NLNs, and propensity score matching (PSM) was performed according to the results of the X-tile plot. Results: A total of 4777 patients were eligible, and 882 pairs of patients were included after PSM. The result of the X-tile plot revealed an optimal cut-off value of three NLNs. Multivariate Cox regression analysis revealed better EC-specific survival (ECSS) in patients with more than three NLNs (hazard ratio [HR] 0.68, 95% confidence interval [CI] 0.59–0.77; p < 0.001) compared with patients with three or fewer NLNs. A subgroup analysis revealed better ECSS in patients with more than three NLNs with one to two (HR 0.57, 95% CI 0.46–0.71; p < 0.001) or three to six (HR 0.68, 95% CI 0.50–0.92; p = 0.012) positive lymph nodes (PLNs). Conclusions: More than three NLNs is associated with better survival in EC patients, especially when the number of PLNs is one to two or three to six. We confirm that the combination of the number of NLNs and number of PLNs can provide better prognostic guidance for EC.

Original languageEnglish
Pages (from-to)2042-2050
Number of pages9
JournalAnnals of surgical oncology
Volume27
Issue number6
DOIs
StatePublished - 1 Jun 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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