Literature DB >> 21598387

Identification of 14-3-3β in human gastric cancer cells and its potency as a diagnostic and prognostic biomarker.

Chien-Wei Tseng1, Jyh-Chin Yang, Chiung-Nien Chen, Hsuan-Cheng Huang, Kai-Neng Chuang, Chen-Ching Lin, Hong-Shiee Lai, Po-Huang Lee, King-Jen Chang, Hsueh-Fen Juan.   

Abstract

Gastric cancer is the second most common cause of cancer deaths worldwide and due to its poor prognosis, it is important that specific biomarkers are identified to enable its early detection. Through 2-D gel electrophoresis and MALDI-TOF-TOF-based proteomics approaches, we found that 14-3-3β, which was one of the proteins that were differentially expressed by 5-fluorouracil-treated gastric cancer SC-M1 cells, was upregulated in gastric cancer cells. 14-3-3β levels in tissues and serum were further validated in gastric cancer patients and controls. The results showed that 14-3-3β levels were elevated in tumor tissues (n=40) in comparison to normal tissues (n=40; p<0.01), and serum 14-3-3β levels in cancer patients (n=145) were also significantly higher than those in controls (n=63; p<0.0001). Elevated serum 14-3-3β levels highly correlated with the number of lymph node metastases, tumor size and a reduced survival rate. Moreover, overexpression of 14-3-3β enhanced the growth, invasiveness and migratory activities of tumor cells. Twenty-eight proteins involved in anti-apoptosis and tumor progression were also found to be differentially expressed in 14-3-3β-overexpressing gastric cancer cells. Overall, these results highlight the significance of 14-3-3β in gastric cancer cell progression and suggest that it has the potential to be used as a diagnostic and prognostic biomarker in gastric cancer.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21598387     DOI: 10.1002/pmic.201000449

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  20 in total

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Journal:  World J Gastroenterol       Date:  2012-06-21       Impact factor: 5.742

2.  Identification of proteins associated with lymph node metastasis of gastric cancer.

Authors:  Yan Ma; Yan-Feng Li; Tie Wang; Rui Pang; Ying-Wei Xue; Shu-Peng Zhao
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3.  Overexpression of ADP-ribosylation factor 1 in human gastric carcinoma and its clinicopathological significance.

Authors:  Ming-Ming Tsai; Paul Y Lin; Wan-Li Cheng; Chung-Ying Tsai; Hsiang-Cheng Chi; Cheng-Yi Chen; Yi-Hsin Tseng; Yi-Fen Cheng; Chi-De Chen; Ying Liang; Chia-Jung Liao; Sheng-Ming Wu; Yang-Hsiang Lin; I-Hsiao Chung; Chia-Siu Wang; Kwang-Huei Lin
Journal:  Cancer Sci       Date:  2012-03-28       Impact factor: 6.716

4.  Screening and identification of serum proteomic biomarkers for gastric adenocarcinoma.

Authors:  Chibo Liu; Chunqin Pan; Yong Liang
Journal:  Exp Ther Med       Date:  2012-03-14       Impact factor: 2.447

5.  Identification of Serum Biomarkers for Gastric Cancer Diagnosis Using a Human Proteome Microarray.

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Journal:  Mol Cell Proteomics       Date:  2015-11-23       Impact factor: 5.911

Review 6.  What gastric cancer proteomic studies show about gastric carcinogenesis?

Authors:  Mariana Ferreira Leal; Fernanda Wisnieski; Carolina de Oliveira Gigek; Leonardo Caires do Santos; Danielle Queiroz Calcagno; Rommel Rodriguez Burbano; Marilia Cardoso Smith
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7.  Discovery of SLC3A2 cell membrane protein as a potential gastric cancer biomarker: implications in molecular imaging.

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Journal:  J Proteome Res       Date:  2012-11-26       Impact factor: 4.466

8.  Revealing the anti-tumor effect of artificial miRNA p-27-5p on human breast carcinoma cell line T-47D.

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Journal:  Int J Mol Sci       Date:  2012-05-23       Impact factor: 6.208

9.  Combination of OipA, BabA, and SabA as candidate biomarkers for predicting Helicobacter pylori-related gastric cancer.

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Journal:  Sci Rep       Date:  2016-11-07       Impact factor: 4.379

Review 10.  The mechanobiome: a goldmine for cancer therapeutics.

Authors:  Eleana Parajón; Alexandra Surcel; Douglas N Robinson
Journal:  Am J Physiol Cell Physiol       Date:  2020-11-11       Impact factor: 4.249

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