Literature DB >> 25433141

Plasma adrenomedullin levels and nasopharyngeal carcinoma prognosis.

Zhi-Li Zhang1, Shui-Xian Huang2, Shan Lin3, Liang Chai3.   

Abstract

BACKGROUND: Adrenomedullin has been identified as a tumor growth factor. However, few studies have reported its relationship with cancer survival. We evaluated the prognostic value of pretreatment plasma adrenomedullin levels in nasopharyngeal carcinoma (NPC).
METHODS: Plasma adrenomedullin levels of 258 NPC patients and 100 healthy controls were determined using enzyme-linked immunosorbent assay. Adverse event was defined as tumor progression or death from any cause during 5-year follow-up. The relationships between plasma adrenomedullin levels and 5-year mortality, adverse event, tumor-free survival and overall survival were evaluated using multivariate analysis.
RESULTS: Pretreatment plasma adrenomedullin levels were substantially higher in patients than in healthy subjects and were correlated highly with tumor classification, lymph node classification and tumor node metastasis stage positively. Adrenomedullin was identified as an independent predictor of 5-year mortality, adverse event, tumor-free survival and overall survival. Based on receiver operating characteristic curve analysis, pretreatment plasma adrenomedullin level had high predictive value for 5-year mortality and adverse event and had high diagnostic value for NPC.
CONCLUSIONS: Adrenomedullin may be a reliable biomarker for predicting the long-term prognosis of patients with NPC and also has potential diagnostic utility for NPC.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adrenomedullin; Biomarker; Nasopharyngeal carcinoma; Prognosis

Mesh:

Substances:

Year:  2014        PMID: 25433141     DOI: 10.1016/j.cca.2014.11.021

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  2 in total

1.  The prognostic value of intermedin in patients with breast cancer.

Authors:  Yi-Min Lu; Jian-Bo Zhong; Hai-Yong Wang; Xiong-Fei Yu; Zhong-Qi Li
Journal:  Dis Markers       Date:  2015-01-28       Impact factor: 3.434

2.  Investigating the mechanism of hepatocellular carcinoma progression by constructing genetic and epigenetic networks using NGS data identification and big database mining method.

Authors:  Cheng-Wei Li; Ping-Yao Chang; Bor-Sen Chen
Journal:  Oncotarget       Date:  2016-11-29
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.