Literature DB >> 30927196

Colon Neuroendocrine Tumors: A New Lymph Node Staging Classification.

Adam C Fields1,2, Justin C McCarty3, Pamela Lu4,3, Benjamin M Vierra4, Linda M Pak4, Jennifer Irani4, Joel E Goldberg4, Ronald Bleday4, Jennifer Chan5, Nelya Melnitchouk6,7.   

Abstract

BACKGROUND: The American Joint Commission on Cancer, the European Neuroendocrine Tumor Society, and the North American Neuroendocrine Tumor Society all classify colon neuroendocrine tumor (NET) nodal metastasis as N0 or N1. This binary classification does not allow for further prognostication by the total number of positive lymph nodes. This study aimed to evaluate whether the total number of positive lymph nodes affects the overall survival for patients with colon NET.
METHODS: The National Cancer Database was used to identify patients with colon NET. Nearest-neighborhood grouping was performed to classify patients by survival to create a new nodal staging system. The Surveillance, Epidemiology, and End Results database was used to validate the new nodal staging classification.
RESULTS: Colon NETs were identified in 2472 patients. Distinct 5-year survival rates were estimated for the patients with N0 (no positive lymph nodes; 69.8%; 95% confidence interval [CI], 66.7-72.7%), N1a (1 positive lymph node; 63.9%; 95% CI, 59.6-68.0%), N1b (2-9 positive lymph nodes; 38.9%; 95% CI, 35.4-42.3%), and N2 (≥ 10 positive lymph nodes; 15.7%; 95% CI, 11.9-20.0%; p < 0.001) nodal classifications. The validation population showed distinct 5-year survival rates with the new nodal staging. In multivariable Cox regression, the new nodal stage was a significant independent predictor of overall survival.
CONCLUSIONS: The number of positive locoregional lymph nodes in colon NETs is an independent prognostic factor. For patients with colon NETs, N0, N1a, N1b, and N2 classifications for nodal metastasis more accurately predict survival than current staging systems.

Entities:  

Year:  2019        PMID: 30927196     DOI: 10.1245/s10434-019-07327-6

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  3 in total

Review 1.  How to Select Patients Affected by Neuroendocrine Neoplasms for Surgery.

Authors:  Francesca Fermi; Valentina Andreasi; Francesca Muffatti; Stefano Crippa; Domenico Tamburrino; Stefano Partelli; Massimo Falconi
Journal:  Curr Oncol Rep       Date:  2022-01-25       Impact factor: 5.075

Review 2.  Advances in the Diagnosis and Therapeutic Management of Gastroenteropancreatic Neuroendocrine Neoplasms (GEP-NENs).

Authors:  Krzysztof Kaliszewski; Maksymilian Ludwig; Maria Greniuk; Agnieszka Mikuła; Karol Zagórski; Jerzy Rudnicki
Journal:  Cancers (Basel)       Date:  2022-04-17       Impact factor: 6.575

3.  Prognostic nomograms for lung neuroendocrine carcinomas based on lymph node ratio: a SEER database analysis.

Authors:  Lan Xiong; Youfan Jiang; Tianyang Hu
Journal:  J Int Med Res       Date:  2022-09       Impact factor: 1.573

  3 in total

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