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Metastatic lymph node ratio demonstrates better prognostic stratification than pN staging in patients with esophageal squamous cell carcinoma after esophagectomy.


ABSTRACT: This study aimed to evaluate the prognostic significance of lymph node ratio (LNR) by establishing a hypothetical tumor-ratio-metastasis (TRM) staging system in patients with esophageal squamous cell carcinoma (ESCC). The records of 387 ESCC patients receiving curative esophagectomy were retrospectively investigated. The optimal cut-point for LNR was assessed via the best cut-off approach. Potential prognostic parameters were identified through univariate and multivariate analyses. A novel LNR-based TRM stage was proposed. The prognostic discriminatory ability and prediction accuracy of each system were determined using hazard ratio (HR), Akaike information criterion (AIC), concordance index (C-index), and area under the receiver operating characteristic curve (AUC). The optimal cut-points of LNR were set at 0, 0~0.2, 0.2~0.4, and 0.4~1.0. Multivariate Cox analysis indicated that the LNR category was an independent risk factor of overall survival (P?

SUBMITTER: Zhang H 

PROVIDER: S-EPMC5150247 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Metastatic lymph node ratio demonstrates better prognostic stratification than pN staging in patients with esophageal squamous cell carcinoma after esophagectomy.

Zhang Hongdian H   Liang Huagang H   Gao Yongyin Y   Shang Xiaobin X   Gong Lei L   Ma Zhao Z   Sun Ke K   Tang Peng P   Yu Zhentao Z  

Scientific reports 20161212


This study aimed to evaluate the prognostic significance of lymph node ratio (LNR) by establishing a hypothetical tumor-ratio-metastasis (TRM) staging system in patients with esophageal squamous cell carcinoma (ESCC). The records of 387 ESCC patients receiving curative esophagectomy were retrospectively investigated. The optimal cut-point for LNR was assessed via the best cut-off approach. Potential prognostic parameters were identified through univariate and multivariate analyses. A novel LNR-b  ...[more]

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