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Published in: Journal of Cancer Research and Clinical Oncology 11/2008

01-11-2008 | Original Paper

Identification of transgelin as a potential novel biomarker for gastric adenocarcinoma based on proteomics technology

Authors: Qiaojia Huang, Qingling Huang, Wannan Chen, Lin Wang, Wansong Lin, Jianyin Lin, Xu Lin

Published in: Journal of Cancer Research and Clinical Oncology | Issue 11/2008

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Abstract

Purpose

To find a biomarker for gastric adenocarcinomas (GA).

Methods

Ten protein expression profiles of GA and paired non-neoplastic mucosa tissues were analyzed by two-dimensional gel electrophoresis. Forty-two protein spots that were differentially expressed by twofold or greater between cancer and normal mucosa tissue were excised and identified by MALDI-TOF/TOF MS. One of the over-expressed proteins identified in GA was transgelin, which was chosen for further verification by immunohistochemistry and western blotting.

Results

Forty-two distinct proteins that were differentially expressed at least twofold between the tissues were identified. Expression of 29 of these proteins was decreased (ratio ≥ 2, P < 0.01), including adenosine deaminase; and 13 proteins displayed over-expression in cancer tissue (ratio ≥ 2, P < 0.01), including transgelin. The results of immunohistochemistry confirmed that transgelin was indeed over-expressed in 22 cases of GA (22/41, 53.66%), with strong cytoplasmic staining in cancer cells of positive samples, this was absent in most paired non-neoplastic mucosa cells or gastric ulcer tissues (n = 20). Transgelin was found over-expressed in 21 samples of cancer tissue (21/41, 51.22%) when detected by western blot.

Conclusion

This work demonstrates that differentially expressed proteins can be identified by proteomics technology combined with immunohistochemistry and western blot analyses. We have identified one such protein, transgelin, as a novel biomarker for GA.
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Metadata
Title
Identification of transgelin as a potential novel biomarker for gastric adenocarcinoma based on proteomics technology
Authors
Qiaojia Huang
Qingling Huang
Wannan Chen
Lin Wang
Wansong Lin
Jianyin Lin
Xu Lin
Publication date
01-11-2008
Publisher
Springer-Verlag
Published in
Journal of Cancer Research and Clinical Oncology / Issue 11/2008
Print ISSN: 0171-5216
Electronic ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-008-0398-y

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