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Exploration of the Exact Prognostic Significance of Lymphatic Metastasis in Jejunoileal Neuroendocrine Tumors.
Chen, Luohai; Song, Yunda; Zhang, Yu; Chen, Minhu; Chen, Jie.
Afiliación
  • Chen L; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Song Y; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
  • Zhang Y; Department of Hepatobiliary and Pancreatic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Chen M; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Chen J; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. chenminhu@mail.sysu.edu.cn.
Ann Surg Oncol ; 25(7): 2067-2074, 2018 Jul.
Article en En | MEDLINE | ID: mdl-29748891
BACKGROUND: How to evaluate the prognostic significance of lymphatic metastasis in patients with small bowel (jejunoileal) neuroendocrine tumors (SBNETs) is still not conclusive. METHODS: Data for patients with SBNETs, but without distant metastasis, were retrieved from the Surveillance, Epidemiology, and End Results database. Recursive partitioning analysis (RPA) was used for classification development by combining examined lymph nodes (ELNs) and lymph node ratio (LNR). RESULTS: Overall, 1925 patient records were retrieved. Patients with N0 and N1 disease (based on the definition of the European Neuroendocrine Tumor Society [ENETS] staging classification) did not have different OS (p = 0.7867), nor did patients with N0, N1 (< 12 positive nodes), and N2 (≥ 12 positive nodes) disease based on the definition of American Joint Committee on Cancer (AJCC) 8th edition staging classification (p = 0.5276). However, Cox regression analysis indicated that both ELNs (hazard ratio [HR] 0.968, 95% confidence interval [CI] 0.949-0.987; p = 0.0013) and LNR (HR 2.288, 95% CI 1.122-3.682; p = 0.0006) were prognostic factors. Using RPA, we combined ELNs and LNR, and patients were reclassified into three groups (group 1: ELNs ≥ 12, any LNR; group 2: ELNs < 12, LNR < 0.35; group 3: ELNs < 12, LNR ≥ 0.35). Survival analysis and multivariate Cox regression showed that groups 1, 2, and 3 had progressively worse survival. Furthermore, we found that ELNs ≥ 12 could remarkably improve patient survival (p < 0.001). CONCLUSIONS: The current definition of lymphatic metastasis could not help predict patient survival. Our newly proposed classification of lymphatic metastasis is better than the ENETS and AJCC 8th edition staging classifications in evaluating the prognostic significance of lymphatic metastasis in SBNETs. Systematic resection of lymph nodes (≥ 12) could help improve patient survival.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tumores Neuroendocrinos / Neoplasias del Íleon / Neoplasias del Yeyuno / Estadificación de Neoplasias Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Ann Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tumores Neuroendocrinos / Neoplasias del Íleon / Neoplasias del Yeyuno / Estadificación de Neoplasias Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Ann Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: China