Ratio between negative and positive lymph nodes is a novel prognostic indicator for patients with esophageal cancer: A Surveillance, Epidemiology and End Results database analysis.
Ratio between negative and positive lymph nodes is a novel prognostic indicator for patients with esophageal cancer: A Surveillance, Epidemiology and End Results database analysis.
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阴性和阳性淋巴结的比率是食管癌患者的一个新的预后指标：A Surveillance、流行病学和 EndResults 数据库分析
DOI：
10.1111/1759-7714.13688
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发表时间：
2020-12
期刊：
影响因子：
2.9
通讯作者：
Yu Z
中科院分区：
文献类型：
--
作者：
Xiao W;Liang H;Zhang H;Jia R;Yang Y;Wang Y;Tang P;Yu Z
本研究旨在探讨食管癌淋巴结转移患者术后淋巴结阴性与阳性的比值（RNP）能否预测食管癌患者的总生存期（OS）。我们利用监测、流行病学和最终结果（SEER）数据库纳入了2374例术后淋巴结转移患者的记录。所有患者被随机分配到培训队列（n = 1424）和验证队列（n = 950）。多因素考克斯回归分析，以确定独立的预后因素。提出了一种新的基于RNP的TRNPM分期系统。采用线性趋势χ2检验、似然比χ2检验和Akaike信息准则（AIC）评价N、RNP、TNM和TRNPM分期系统的预后价值，以确定潜在优势。我们构建列线图来预测两个队列的生存率，校准曲线证实了预测能力。单因素分析显示，N和RNP分期显著影响患者的OS。多变量分析显示，RNP是一个独立的预后预测因子，在培训和验证队列。对于两个队列中的分层分析，我们发现基于不同N分期和清扫淋巴结数量，不同RNP组中患者的预后存在显著差异。此外，RNP分期和TRNPM分期系统较低的AIC值分别代表优于N分期和TNM分期系统的OS的上级预测准确性。此外，3年和5年生存概率的校准曲线显示诺模图预测能力与实际观察结果之间具有良好的一致性。我们证明，与经典的病理淋巴结分期系统相比，RNP分期显示出对OS的上级预测准确性，并且可以作为淋巴结阳性EC患者的更有效的预后指导。我们证明，与经典的病理淋巴结分期系统相比，RNP分期显示出对OS的上级预测准确性，并且可以作为淋巴结阳性EC患者的更有效的预后指导。
The aim of this study was to explore whether the ratio between negative and positive lymph nodes (RNP) could predict the overall survival (OS) of esophageal cancer (EC) patients with lymph node metastasis following esophagectomy. We utilized the Surveillance, Epidemiology and End Results (SEER) database to include the records of 2374 patients with lymph node metastases post‐surgery. All patients were randomly assigned into the training cohort (n = 1424) and validation cohort (n = 950). Multivariate Cox regression analyses were performed to identify independent prognostic factors. A novel RNP ‐based TRNPM staging system was proposed. The prognostic value of N, RNP, TNM and TRNPM staging system was evaluated using the linear trend χ2 test, likelihood ratio χ2 test, and Akaike information criterion (AIC) to determine the potential superiorities. We constructed nomograms to predict survival in both cohorts, and the calibration curves confirmed the predictive ability. Univariate analyses showed that N and RNP stage significantly influenced the OS of patients. Multivariate analyses revealed that RNP was an independent prognostic predictor in both the training and validation cohorts. For the stratification analysis in the two cohorts, we found significant differences in the prognosis of patients in different RNP groups on the basis of the different N stages and the number of dissected lymph nodes. In addition, the lower AIC value of RNP stage and TRNPM staging system represented superior predictive accuracy for OS than the N stage and TNM staging system, respectively. Furthermore, the calibration curves for the probability of three‐ and five‐year survival showed good consistency between nomogram predictive abilities and actual observation. We demonstrated that compared to the classical pathological lymph nodal staging system, the RNP stage showed superior predictive accuracy for OS and can serve as a more effective prognostic guidance for lymph node positive EC patients. We demonstrated that compared to the classical pathological lymph nodal staging system, the RNP stage showed superior predictive accuracy for OS and can serve as a more effective prognostic guidance for lymph node positive EC patients.
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影响因子：
15.3
作者：
Zhang, Nannan;Deng, Jingyu;Liang, Han
通讯作者：
Liang, Han
影响因子：
2.9
作者：
Liu, Ying;Yang, Heli;Wang, Hui
通讯作者：
Wang, Hui
影响因子：
6.4
作者：
Twine, Christopher P.;Lewis, Wyn G.;Williams, Geriant T.
通讯作者：
Williams, Geriant T.
DOI：
10.1016/j.jtho.2016.10.016
发表时间：
2017-01
期刊：
Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
影响因子：
--
作者：
Rice TW;Ishwaran H;Ferguson MK;Blackstone EH;Goldstraw P
通讯作者：
Goldstraw P
影响因子：
3.7
作者：
Deng, Jingyu;Zhang, Rupeng;Liang, Han
通讯作者：
Liang, Han