Literature DB >> 22030451

To build a prognostic score model containing indispensible tumour markers for metastatic nasopharyngeal carcinoma in an epidemic area.

Y Jin1, X Y Cai, Y C Cai, Y Cao, Q Xia, Y T Tan, W Q Jiang, Y X Shi.   

Abstract

BACKGROUND AND
OBJECTIVE: The survival outcomes of patients with metastatic nasopharyngeal carcinoma (NPC) differ significantly between individuals. The aim of this study is to build a prognostic score model (PSM) incorporating circulating tumour markers for metastatic NPC in an epidemic area.
METHODS: Seven hundred and ninety-nine patients with disseminated NPC were analysed retrospectively. Univariate and multivariable analyses were conducted using the Cox proportion hazards model. Factors analysed included patients' characteristics (gender, age group, performance status), circulating tumour-marker characteristics (Epstein-Barr virus (EBV) DNA level, EBV VCA-IgA level, lactate dehydrogenase (LDH) level, alkaline phosphatase (ALP) level), basic laboratory characteristics (leucocyte count, haemoglobin level, albumin level), and disease characteristics (presence of metastasis at presentation, disease-free interval, number of metastatic sites, specific metastatic sites). The PSM was built according to numerical score derived from the regression coefficients of each independent prognostic variable. The prognostic score of each patient was calculated by totalling up the scores of each independent variable.
RESULTS: Independent prognostic factors included performance status, age, haemoglobin level, LDH level, ALP level and EBV DNA level. Three prognostic groups based on PSM were obtained: low risk (total score=0-4); intermediate risk (5-8); high risk (9-12). Median survivals of the three groups were 25.5, 15.1 and 7 months, respectively, (P<0.001).
CONCLUSION: Clinical and laboratory characteristics can help guide the prognostication of patients with metastatic NPC in epidemic areas.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22030451     DOI: 10.1016/j.ejca.2011.09.004

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  32 in total

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2.  Risk factors and prediction-score model for distant metastasis in nasopharyngeal carcinoma treated with intensity-modulated radiotherapy.

Authors:  An-Chuan Li; Wei-Wei Xiao; Lin Wang; Guan-Zhu Shen; An-An Xu; Yan-Qing Cao; Shao-Min Huang; Cheng-Guang Lin; Fei Han; Xiao-Wu Deng; Chong Zhao
Journal:  Tumour Biol       Date:  2015-05-27

3.  Prognostic stratification of patients with metastatic nasopharyngeal carcinoma using a clinical and biochemical scoring system.

Authors:  Jeremy Chee; Kwok Seng Loh; Ivan Tham; Francis Ho; Lea Choung Wong; Chee Seng Tan; Boon Cher Goh; Chwee Ming Lim
Journal:  J Cancer Res Clin Oncol       Date:  2017-08-28       Impact factor: 4.553

4.  Clinicopathological significance of ROCK1 and PIK3CA expression in nasopharyngeal carcinoma.

Authors:  Xuanyi Wang; Yuxiang Huang; Renhua Guo; Yongbiao Liu; Yayun Qian; Dan Liu; Xiaojun Dai; Zheng Wei; Feng Jin; Yanqing Liu
Journal:  Exp Ther Med       Date:  2017-01-23       Impact factor: 2.447

5.  Systemic immune-inflammation index as a prognostic marker in patients with newly diagnosed metastatic nasopharyngeal carcinoma: a propensity score-matched study.

Authors:  Cheng Lin; Sheng Lin; Qiao-Juan Guo; Jing-Feng Zong; Tian-Zhu Lu; Na Lin; Shao-Jun Lin; Jian-Ji Pan
Journal:  Transl Cancer Res       Date:  2019-09       Impact factor: 1.241

6.  Extracellular circulating viral microRNAs: current knowledge and perspectives.

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Journal:  Front Genet       Date:  2013-06-24       Impact factor: 4.599

7.  Impact of plasma Epstein-Barr virus-DNA and tumor volume on prognosis of locally advanced nasopharyngeal carcinoma.

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Journal:  Biomed Res Int       Date:  2015-01-31       Impact factor: 3.411

Review 8.  Serum EA-IgA and D-dimer, but not VCA-IgA, are associated with prognosis in patients with nasopharyngeal carcinoma: a meta-analysis.

Authors:  Tianhao Liang; Weixing Liu; Junyang Xie; Yiyan Wang; Gui Chen; Wenjing Liao; Lijuan Song; Xiaowen Zhang
Journal:  Cancer Cell Int       Date:  2021-06-30       Impact factor: 5.722

9.  A novel statistical prognostic score model that includes serum CXCL5 levels and clinical classification predicts risk of disease progression and survival of nasopharyngeal carcinoma patients.

Authors:  Haibo Zhang; Weixiong Xia; Xing Lu; Rui Sun; Lin Wang; Lisheng Zheng; Yanfang Ye; Yingna Bao; Yanqun Xiang; Xiang Guo
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

10.  Development of a Prognostic Model to Identify the Suitable Definitive Radiation Therapy Candidates in de Novo Metastatic Nasopharyngeal Carcinoma: A Real-World Study.

Authors:  Wang-Zhong Li; Shu-Hui Lv; Guo-Ying Liu; Hu Liang; Xiang Guo; Xing Lv; Kui-Yuan Liu; Meng-Yun Qiang; Xi Chen; Sophie Z Gu; Chang-Qing Xie; Wei-Xiong Xia; Yan-Qun Xiang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-08-24       Impact factor: 8.013

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