4.4 Article

Significance of the inflammation-based prognostic score in recurrent pancreatic cancer

期刊

PANCREATOLOGY
卷 19, 期 5, 页码 722-728

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ELSEVIER
DOI: 10.1016/j.pan.2019.05.461

关键词

Inflammation-based prognostic score; Multidisciplinary treatment; Pancreatic ductal adenocarcinoma; Recurrent pancreatic cancer

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  1. Nara Medical University

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Background: Although the prognosis of recurrent pancreatic cancer (RPC) is improving with the appearance of new anticancer drugs, prognostic indicators for RPC are still poorly understood. The aim of this study was to evaluate significance of the inflammation-based prognostic score, including modified Glasgow Prognostic Score (mGPS), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and Prognostic Nutritional Index (PNI), in patients with RPC. Methods: This study reviewed 263 patients of pancreatic ductal adenocarcinoma at our institution between 2006 and 2015. A receiver operating characteristics curve analysis was performed to determine the cut-off values. The prognostic significance of the inflammation-based prognostic scores were evaluated by a multivariate analysis. Results: 172 patients (65.4%) who had recurrence was included in this study. The optimal PNI for predicting 1-year survival after recurrence was 40 with higher area under receiver operating characteristics curve value (0.704) in comparison with other inflammation-based prognostic scores. A univariate and multivariate analysis revealed that liver metastasis (P < 0.001) and PNI < 40 (P < 0.001) were independently associated with the survival time after recurrence. When each of the two predictors was counted as one point and the points were calculated for all cases, a good stratified survival curve was obtained, showing the shorter survival in the higher points: median survival times of 2,1, and 0 points were 4.3, 11.1, and 21.2 months, respectively (P < 0.001). Conclusions: Inflammation-based prognostic scores, especially PNI is useful clinical biomarker for predicting the survival time after recurrence in patients with pancreatic adenocarcinoma. (C) 2019 IAP and EPC. Published by Elsevier B.V. All rights reserved.

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