Proteomics Research on Gastric Intraepithelial Neoplasia

Objective To investigate the expression of differential proteins in the typical process of gastric intraepithelial neoplasia including normal gastric antrum mucosa, reactive hyperplasia, low-grade intraepithelial neoplasia, high-grade intraepithelial neoplasia and intramucosal carcinoma. Methods We...

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Bibliographic Details
Main Authors: GUAN Xiaoying, WANG Furong
Format: Article
Language:zho
Published: Magazine House of Cancer Research on Prevention and Treatment 2018-08-01
Series:Zhongliu Fangzhi Yanjiu
Subjects:
Online Access:http://html.rhhz.net/ZLFZYJ/html/8578.2018.17.1439.htm
Description
Summary:Objective To investigate the expression of differential proteins in the typical process of gastric intraepithelial neoplasia including normal gastric antrum mucosa, reactive hyperplasia, low-grade intraepithelial neoplasia, high-grade intraepithelial neoplasia and intramucosal carcinoma. Methods We enrolled 150 specimens of different stages of gastric tissues, including normal gastric antrum mucosa, reactive hyperplasia, low-grade intraepithelial neoplasia, high-grade intraepithelial neoplasia and early gastric cancer(each n=30). The expression profiles of total proteins were detected by label-free quantification technology integrated with liquid chromatography-tandem mass spectrometry (LC-MS/MS). Potential biological function of differential proteins was analyzed. Results We screened out eight differential proteins. Compared with normal gastric antrum mucosa, during the process of gastric intraepithelial neoplasia including low-grade intraepithelial neoplasia, high-grade intraepithelial neoplasia and intramucosal carcinoma, the expression of five proteins LAMN1, ERGIC1, UQCRFS1, UQCRH, CISD1 gradually decreased, and three proteins with increasing expressions were HMGB1, DNA-PKcs, 14-3-3. Conclusion There are many proteins expressed differently in different stages of gastric cancer. They might be expected to be novel early diagnostic and targeted therapeutic biomarkers.
ISSN:1000-8578
1000-8578