Literature DB >> 27884752

Quantitative proteomic analysis reveals that proteins required for fatty acid metabolism may serve as diagnostic markers for gastric cancer.

Zhen Jiang1, Hongchun Shen2, Bo Tang3, Qin Yu4, Xingli Ji4, Li Wang5.   

Abstract

BACKGROUND: Gastric cancer is one of the leading causes of cancer-related deaths worldwide. The sensitivities and specificities of current biomarkers for gastric cancer are insufficient for clinical detection, and new diagnostic tests are therefore urgently required.
METHODS: A discovery set of gastric cancer and adjacent normal tissues were analyzed for differentially expressed proteins by labeling of peptide digests with isobaric tag for relative and absolute quantitation (iTRAQ) reagents followed by liquid chromatography-electrospray ionization-tandem mass spectrometry. A validation set of 70 pairs of gastric cancer and adjacent normal tissues were examined to confirm the expression levels of the potential biomarkers identified by iTRAQ labeling.
RESULTS: We detected 431 proteins associated with 16 KEGG pathways that were differentially expressed in gastric cancer tissues, of which 224 were upregulated and 207 were downregulated in gastric cancer tissues. Coexpression of fatty acid binding protein (FABP1) and fatty acid synthase (FASN) in gastric cancer tissues (61.4% sensitivity and 77.1% specificity) was strongly associated with lymph node metastasis and Tumor, Node, Metastasis stage I/II.
CONCLUSION: Quantitative proteomic analysis of gastric cancer tissues revealed that coexpression of FABP1 and FASN may serve as a biomarker for detection of early gastric cancer.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  FABP1; FASN; Gastric cancer; Lipid metabolism; iTRAQ

Mesh:

Substances:

Year:  2016        PMID: 27884752     DOI: 10.1016/j.cca.2016.11.032

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  8 in total

1.  Discovering Biomarkers in Peritoneal Metastasis of Gastric Cancer by Metabolomics.

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Review 2.  Key Molecules of Fatty Acid Metabolism in Gastric Cancer.

Authors:  Chunlei Li; Lilong Zhang; Zhendong Qiu; Wenhong Deng; Weixing Wang
Journal:  Biomolecules       Date:  2022-05-15

3.  Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics.

Authors:  Zhen Jiang; Hongchun Shen; Bo Tang; Hui Chen; Qin Yu; Xingli Ji; Li Wang
Journal:  Data Brief       Date:  2017-01-18

4.  Investigation Of Small Molecular Substances As Potential Biomarkers For Discrimination Of Gastric Tumor.

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Journal:  Onco Targets Ther       Date:  2019-10-17       Impact factor: 4.147

5.  Identification of 14 Differentially-Expressed Metabolism-Related Genes as Potential Targets of Gastric Cancer by Integrated Proteomics and Transcriptomics.

Authors:  Yongxin Zhang; Wenwei Liu; Wei Feng; Xiaofeng Wang; Tianxiang Lei; Zehong Chen; Wu Song
Journal:  Front Cell Dev Biol       Date:  2022-02-21

Review 6.  Alterations in the gastric microbiota and metabolites in gastric cancer: An update review.

Authors:  Changzhen Lei; Daojun Gong; Bo Zhuang; Zhiwei Zhang
Journal:  Front Oncol       Date:  2022-08-23       Impact factor: 5.738

7.  Identification and validation of PGLS as a metabolic target for early screening and prognostic monitoring of gastric cancer.

Authors:  Xiaoxia Yuan; Yang Xiao; Yaomin Luo; Chen Wei; Jiaxin Wang; Jinglin Huang; Weiliang Liao; Shenjie Song; Zhen Jiang
Journal:  J Clin Lab Anal       Date:  2021-12-24       Impact factor: 2.352

Review 8.  Advances in High Throughput Proteomics Profiling in Establishing Potential Biomarkers for Gastrointestinal Cancer.

Authors:  Md Zahirul Islam Khan; Shing Yau Tam; Helen Ka Wai Law
Journal:  Cells       Date:  2022-03-11       Impact factor: 6.600

  8 in total

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