Literature DB >> 26583916

The Prognostic Nutritional Index Predicts Survival and Identifies Aggressiveness of Gastric Cancer.

Wan Kyu Eo1, Hye Jung Chang1, Jungho Suh1, Jin Ahn1, Jeong Shin1, Joon-Young Hur1, Gou Young Kim2, Sookyung Lee3, Sora Park3, Sanghun Lee4.   

Abstract

Nutritional status has been associated with long-term outcomes in cancer patients. The prognostic nutritional index (PNI) is calculated by serum albumin concentration and absolute lymphocyte count, and it may be a surrogate biomarker for nutritional status and possibly predicts overall survival (OS) of gastric cancer. We evaluated the value of the PNI as a predictor for disease-free survival (DFS) in addition to OS in a cohort of 314 gastric cancer patients who underwent curative surgical resection. There were 77 patients in PNI-low group (PNI ≤ 47.3) and 237 patients in PNI-high group (PNI > 47.3). With a median follow-up of 36.5 mo, 5-yr DFS rates in PNI-low group and PNI-high group were 63.5% and 83.6% and 5-yr OS rates in PNI-low group and PNI-high group were 63.5% and 88.4%, respectively (DFS, P < 0.0001; OS, P < 0.0001). In the multivariate analysis, the only predictors for DFS were PNI, tumor-node-metastasis (TNM) stage, and perineural invasion, whereas the only predictors for OS were PNI, age, TNM stage, and perineural invasion. In addition, the PNI was independent of various inflammatory markers. In conclusion, the PNI is an independent prognostic factor for both DFS and OS, and provides additional prognostic information beyond pathologic parameters.

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Year:  2015        PMID: 26583916     DOI: 10.1080/01635581.2015.1082112

Source DB:  PubMed          Journal:  Nutr Cancer        ISSN: 0163-5581            Impact factor:   2.900


  10 in total

1.  Inflammation-based indexes and clinicopathologic features are strong predictive values of preoperative circulating tumor cell detection in gastric cancer patients.

Authors:  L Zheng; K Zou; C Yang; F Chen; T Guo; B Xiong
Journal:  Clin Transl Oncol       Date:  2017-03-17       Impact factor: 3.405

2.  Preoperative Nutritional Status and Risk Factors Associated with Delayed Discharge in Geriatric Patients Undergoing Gastrectomy: A Single-Center Retrospective Study.

Authors:  Xining Zhao; Jie Liu; Ying Wang; Yuying Yang; Yan Pan; Shengjin Ge
Journal:  Appl Bionics Biomech       Date:  2022-06-03       Impact factor: 1.664

3.  Prognostic nutritional index is an independent prognostic factor for gastric cancer patients with peritoneal dissemination.

Authors:  Runcong Nie; Shuqiang Yuan; Shi Chen; Xiaojiang Chen; Yongming Chen; Baoyan Zhu; Haibo Qiu; Zhiwei Zhou; Junsheng Peng; Yingbo Chen
Journal:  Chin J Cancer Res       Date:  2016-12       Impact factor: 5.087

4.  Prognostic nutritional index as a prognostic biomarker for survival in digestive system carcinomas.

Authors:  Yang Zhao; Peng Xu; Huafeng Kang; Shuai Lin; Meng Wang; Pengtao Yang; Cong Dai; Xinghan Liu; Kang Liu; Yi Zheng; Zhijun Dai
Journal:  Oncotarget       Date:  2016-12-27

5.  Peripheral blood markers predictive of outcome and immune-related adverse events in advanced non-small cell lung cancer treated with PD-1 inhibitors.

Authors:  Lihong Peng; Yong Wang; Fen Liu; Xiaotong Qiu; Xinwei Zhang; Chen Fang; Xiaoyin Qian; Yong Li
Journal:  Cancer Immunol Immunother       Date:  2020-04-29       Impact factor: 6.968

6.  Systemic inflammation score is a prognostic marker after curative resection in gastric cancer.

Authors:  Mingzhe Ma; Mingzhe Weng; Fei Chen; Yiren Hu; Jianguo Lai; Yanong Wang; Ye Zhou
Journal:  ANZ J Surg       Date:  2019-03-10       Impact factor: 1.872

7.  Prognostic Significance of the L3 Skeletal Muscle Index and Advanced Lung Cancer Inflammation Index in Elderly Patients with Esophageal Cancer.

Authors:  Xiang Tan; Huajian Peng; Peixin Gu; Mingwu Chen; Yongyong Wang
Journal:  Cancer Manag Res       Date:  2021-04-09       Impact factor: 3.989

8.  Comparison of the Clinical Value of the Geriatric Nutritional Risk Index and Prognostic Nutritional Index as Determinants of Survival Outcome in Patients with Gastric Cancer.

Authors:  Soomin An; Wankyu Eo; Sookyung Lee
Journal:  J Cancer       Date:  2022-09-21       Impact factor: 4.478

9.  Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer.

Authors:  Si-Jin Que; Qi-Yue Chen; Zhi-Yu Liu; Jia-Bin Wang; Jian-Xian Lin; Jun Lu; Long-Long Cao; Mi Lin; Ru-Hong Tu; Ze-Ning Huang; Ju-Li Lin; Hua-Long Zheng; Ping Li; Chao-Hui Zheng; Chang-Ming Huang; Jian-Wei Xie
Journal:  World J Gastroenterol       Date:  2019-11-21       Impact factor: 5.742

Review 10.  Systematic Review of Prognostic Role of Blood Cell Ratios in Patients with Gastric Cancer Undergoing Surgery.

Authors:  Sabine Schiefer; Naita Maren Wirsik; Eva Kalkum; Svenja Elisabeth Seide; Henrik Nienhüser; Beat Müller; Adrian Billeter; Markus W Büchler; Thomas Schmidt; Pascal Probst
Journal:  Diagnostics (Basel)       Date:  2022-02-25
  10 in total

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