Literature DB >> 30572058

Translation elongation factor eEF1Bα is identified as a novel prognostic marker of gastric cancer.

Lizhou Jia1, Tingting Yang1, Xuan Gu1, Wei Zhao2, Qi Tang3, Xudong Wang4, Jin Zhu5, Zhenqing Feng6.   

Abstract

Gastric cancer (GC) is a common cancer in humans. Although overexpression of eukaryotic translation elongation factor eEF1Bα is associated with cancer onset and progression, little is known about its expression in GC and its prognostic significance. Here we used immunohistochemistry to analyze eEF1Bα expression in the following tissue types: GC, normal gastric, chronic gastritis, intestinal metaplasia, and intraepithelial neoplasia. These data were correlated with patients' clinical information. eEF1Bα was expressed at levels approximately three times higher in GC tissues compared with normal gastric tissues. High expression of eEF1Bα was significantly associated with histological type, TNM stage, tumor size, and distant metastases. GC patients with high eEF1Bα expression experienced significantly shorter overall survival. Bioinformatics analysis indicated that eEF1Bα may be associated with protein synthesis, energy metabolism, cell cycle, and the p53 signaling pathway. We identified the products of RPL10A and RPS13 as critical components of a network comprising eEF1Bα. We concluded that high eEF1Bα expression is associated with poor overall survival and may serve as an independent prognostic factor of GC. Further, we proposed that eEF1Bα likely mediates the development of GC through the cell cycle and p53 signaling pathway. Together, our findings suggest that eEF1Bα could be an effective prognostic biomarker for GC.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Eukaryotic translation elongation factor 1 Bα; Gastric cancer; Tissue microarray

Mesh:

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Year:  2018        PMID: 30572058     DOI: 10.1016/j.ijbiomac.2018.12.126

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  3 in total

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Authors:  Boris Negrutskii
Journal:  Front Mol Biosci       Date:  2020-04-09

2.  Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer.

Authors:  Khalid Akkour; Ibrahim O Alanazi; Assim A Alfadda; Hani Alhalal; Afshan Masood; Mohthash Musambil; Anas M Abdel Rahman; Moudi A Alwehaibi; Maria Arafah; Ali Bassi; Hicham Benabdelkamel
Journal:  Cells       Date:  2022-07-05       Impact factor: 7.666

3.  High nuclear expression of APE1 correlates with unfavorable prognosis and promotes tumor growth in hepatocellular carcinoma.

Authors:  Xiaohua Lu; Hui Zhao; Hongxin Yuan; Yushan Chu; Xiaoqing Zhu
Journal:  J Mol Histol       Date:  2021-01-04       Impact factor: 2.611

  3 in total

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