Literature DB >> 27678273

Current status of proteomics of esophageal carcinoma.

Norihisa Uemura1, Tadashi Kondo2.   

Abstract

INTRODUCTION: Esophageal cancer (EC) is one of the most common causes of cancer-related death worldwide. Identifying suitable biomarkers for early diagnosis as well as predicting lymph node metastasis, prognosis and the therapeutic response of EC is essential for the effective and efficient management for EC. There is an urgent need to develop effective, novel approaches for patients who do not respond to conventional treatment. Areas covered: EC is characterized by the presence of two main histological types such as squamous cell carcinoma and adenocarcinoma, which differ in their response to treatments and prognosis. Thus, this review describes the latest research into biomarkers and novel treatment targets generated by cancer proteomics for the two main histological types. Finally, the main difficulties facing the translation of biomarkers and novel treatment targets into the clinical settings are discussed. Expert commentary: EC proteomics have provided useful results and, after their validation, novel clinical tools should be developed to improve the clinical outcomes for EC patients.

Entities:  

Keywords:  Biomarker; early diagnosis; esophageal cancer; lymph node metastasis; prognosis; proteomics; target therapy; therapeutic response

Year:  2016        PMID: 27678273     DOI: 10.1080/14789450.2016.1242418

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  4 in total

1.  [Expressions of TAK1 and TAB1 in esophageal cancer and their correlation with prognosis].

Authors:  Sai Cao; Meirong Cheng; Sue Liu; Xiaole Duan; Mei Li
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-07-30

2.  Contribution of dysregulated circRNA_100876 to proliferation and metastasis of esophageal squamous cell carcinoma.

Authors:  Sai Cao; Guohao Chen; Liumei Yan; Libo Li; Xianying Huang
Journal:  Onco Targets Ther       Date:  2018-10-24       Impact factor: 4.147

3.  Target Score-A Proteomics Data Selection Tool Applied to Esophageal Cancer Identifies GLUT1-Sialyl Tn Glycoforms as Biomarkers of Cancer Aggressiveness.

Authors:  Sofia Cotton; Dylan Ferreira; Janine Soares; Andreia Peixoto; Marta Relvas-Santos; Rita Azevedo; Paulina Piairo; Lorena Diéguez; Carlos Palmeira; Luís Lima; André M N Silva; Lúcio Lara Santos; José Alexandre Ferreira
Journal:  Int J Mol Sci       Date:  2021-02-07       Impact factor: 5.923

4.  APIO-EE-9 is a novel Aurora A and B antagonist that suppresses esophageal cancer growth in a PDX mouse model.

Authors:  Guoguo Jin; Ke Yao; Zhiping Guo; Zhenjiang Zhao; Kangdong Liu; Fangfang Liu; Hanyong Chen; Dhilli Rao Gorja; Kanamata Reddy; Ann M Bode; Ziming Dong; Zigang Dong
Journal:  Oncotarget       Date:  2017-06-16
  4 in total

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