Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Institution of Gastroenterology, Zhejiang University, Hangzhou, China.
Neuroendocrinology. 2018;107(3):209-217. doi: 10.1159/000491017. Epub 2018 Jun 19.
The effectiveness of the current Tumor, Lymph node, Metastases (TNM) staging system in small intestinal neuroendocrine tumors (SiNETs) is unsatisfactory. Current N classification only distinguishes between node-negative and node-positive status. We aim to refine the N classification for updated TNM stage.
During the period from 1988 to 2012, patients with non-metastatic -SiNETs were enrolled in the Surveillance, Epidemiology, and End Results database. Using the X-tile program, we calculated an optimal cutoff value for lymph node ratio (LNR) and proposed a novel Nr category. Survival outcomes were estimated using the Kaplan-Meier method and Cox regression model. Adjusted hazard ratio (HR) and cluster analysis were performed to differentiate TNrM stages.
Patients with existing TNM stage I and II had equivalent survival prognosis (p = 0.214). Current N classification was not a significant predictor of patient survival (p = 0.372). Multivariate analyses identified the revised Nr classification, based on LNR of 0.6 optimal cutoff value, as an independent prognostic factor (p = 0.020). By incorporating the Nr classification, a revised TNrM, which categorized patients into 3 new stages was proposed: stage I (T1-2Nr0-1), stage II (T3Nr0-1), and stage III (TxNr2 or T4Nrx). TNrM stage had better stratification according to the survival outcome (primary cohort: stage I: reference, II: HR 3.852, 95% CI 1.731-8.575; III: HR 7.169, 95% CI 3.220-15.963, p < 0.001; validation cohort: stage I: reference, II: HR 2.034; III: HR 3.815; p < 0.001).
The Nr classification more accurately stratifies SiNET patients than current N classification. The new TNrM staging system could improve the ability to predict survival outcome of SiNET patients.
目前的肿瘤、淋巴结、转移(TNM)分期系统在小肠神经内分泌肿瘤(SiNETs)中的效果并不令人满意。目前的 N 分类仅区分淋巴结阴性和淋巴结阳性状态。我们旨在完善 N 分类,以更新 TNM 分期。
在 1988 年至 2012 年期间,将患有非转移性 SiNETs 的患者纳入监测、流行病学和最终结果数据库。使用 X-tile 程序,我们计算了淋巴结比率(LNR)的最佳截断值,并提出了一个新的 Nr 类别。使用 Kaplan-Meier 方法和 Cox 回归模型估计生存结果。使用调整后的危险比(HR)和聚类分析来区分 TNrM 分期。
现有 TNM 分期 I 期和 II 期的患者具有相同的生存预后(p=0.214)。目前的 N 分类不是患者生存的显著预测因素(p=0.372)。多变量分析确定了基于 0.6 最佳截断值的 LNR 的修订 Nr 分类是独立的预后因素(p=0.020)。通过纳入 Nr 分类,提出了一种新的 TNrM,将患者分为 3 个新的阶段:I 期(T1-2Nr0-1)、II 期(T3Nr0-1)和 III 期(TxNr2 或 T4Nrx)。根据生存结果,TNrM 分期具有更好的分层(主要队列:I 期:参考,II 期:HR 3.852,95%CI 1.731-8.575;III 期:HR 7.169,95%CI 3.220-15.963,p<0.001;验证队列:I 期:参考,II 期:HR 2.034;III 期:HR 3.815;p<0.001)。
Nr 分类比目前的 N 分类更能准确分层 SiNET 患者。新的 TNrM 分期系统可以提高预测 SiNET 患者生存结果的能力。