Journal of Bio-X Research (Sep 2019)

Prognostic value of negative lymph node count in patients with jejunoileal neuroendocrine tumors

  • Sujing Jiang,
  • Xufeng Han,
  • Daye Dong,
  • Rongjie Zhao,
  • Lulu Ren,
  • Zhen Liu,
  • Xinmei Yang,
  • Hao Liu,
  • Ying Dong,
  • Weidong Han

DOI
https://doi.org/10.1097/JBR.0000000000000045
Journal volume & issue
Vol. 2, no. 3
pp. 125 – 131

Abstract

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Abstract. A negative lymph node (NLN) count has been shown to have a significant impact on the prognosis of many types of cancer. However, its prognostic value for jejunoileal neuroendocrine tumors (NETs) remains unclear. In this study, we investigated the prognostic value of NLN count in patients with resected jejunoileal NETs diagnosed between 1988 and 2014. The data were retrieved from the Surveillance, Epidemiology and End Results database. The X-tile program was used to determine the cutoff value of the NLN count. Univariate and multivariate Cox proportional hazards models were used to assess the prognostic value of NLN count on survival. Harrell concordance index was used to compare the prognostic validity of NLN count with two current prognostic systems. The optimal cutoff point of the NLN count was 8. Kaplan–Meier analysis revealed a progressively worse overall survival (OS) with an NLN count ≤8 compared with an NLN count > 8 (P < 0.001). Univariate analysis showed that the NLN count, age, tumor site, tumor size and T classification were significant prognostic factors for the OS of jejunoileal NETs, while the number of positive lymph nodes had no significant impact on OS (P = 0.513). Multivariate analysis indicated that the NLN count was an independent prognostic factor for OS of jejunoileal NETs. A higher NLN count was associated with better OS (hazards ratio: 0.641; 95% confidence interval: 0.519–0.793; P < 0.001). Compared with two other prognostic systems, the NLN counts in this study had similar prognostic value in patients with jejunoileal NETs. Our findings suggest that the NLN count is an important independent prognostic factor for patients with jejunoileal NETs, and that it is a good adjunct for disease staging.