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Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis

Gastric cancer (GC) has significant morbidity and mortality worldwide and especially in China. Its molecular pathogenesis has not been thoroughly elaborated. The acknowledged biomarkers for diagnosis, prognosis, recurrence monitoring and treatment are lacking. Proteins from matched pairs of human GC...

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Autores principales: Dai, Peng, Wang, Qin, Wang, Weihua, Jing, Ruirui, Wang, Wei, Wang, Fengqin, Azadzoi, Kazem M., Yang, Jing-Hua, Yan, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730314/
https://www.ncbi.nlm.nih.gov/pubmed/26805816
http://dx.doi.org/10.3390/ijms17010069
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author Dai, Peng
Wang, Qin
Wang, Weihua
Jing, Ruirui
Wang, Wei
Wang, Fengqin
Azadzoi, Kazem M.
Yang, Jing-Hua
Yan, Zhen
author_facet Dai, Peng
Wang, Qin
Wang, Weihua
Jing, Ruirui
Wang, Wei
Wang, Fengqin
Azadzoi, Kazem M.
Yang, Jing-Hua
Yan, Zhen
author_sort Dai, Peng
collection PubMed
description Gastric cancer (GC) has significant morbidity and mortality worldwide and especially in China. Its molecular pathogenesis has not been thoroughly elaborated. The acknowledged biomarkers for diagnosis, prognosis, recurrence monitoring and treatment are lacking. Proteins from matched pairs of human GC and adjacent tissues were analyzed by a coupled label-free Mass Spectrometry (MS) approach, followed by functional annotation with software analysis. Nano-LC-MS/MS, quantitative real-time polymerase chain reaction (qRT-PCR), western blot and immunohistochemistry were used to validate dysregulated proteins. One hundred forty-six dysregulated proteins with more than twofold expressions were quantified, 22 of which were first reported to be relevant with GC. Most of them were involved in cancers and gastrointestinal disease. The expression of a panel of four upregulated nucleic acid binding proteins, heterogeneous nuclear ribonucleoprotein hnRNPA2B1, hnRNPD, hnRNPL and Y-box binding protein 1 (YBX-1) were validated by Nano-LC-MS/MS, qRT-PCR, western blot and immunohistochemistry assays in ten GC patients’ tissues. They were located in the keynotes of a predicted interaction network and might play important roles in abnormal cell growth. The label-free quantitative proteomic approach provides a deeper understanding and novel insight into GC-related molecular changes and possible mechanisms. It also provides some potential biomarkers for clinical diagnosis.
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spelling pubmed-47303142016-02-11 Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis Dai, Peng Wang, Qin Wang, Weihua Jing, Ruirui Wang, Wei Wang, Fengqin Azadzoi, Kazem M. Yang, Jing-Hua Yan, Zhen Int J Mol Sci Article Gastric cancer (GC) has significant morbidity and mortality worldwide and especially in China. Its molecular pathogenesis has not been thoroughly elaborated. The acknowledged biomarkers for diagnosis, prognosis, recurrence monitoring and treatment are lacking. Proteins from matched pairs of human GC and adjacent tissues were analyzed by a coupled label-free Mass Spectrometry (MS) approach, followed by functional annotation with software analysis. Nano-LC-MS/MS, quantitative real-time polymerase chain reaction (qRT-PCR), western blot and immunohistochemistry were used to validate dysregulated proteins. One hundred forty-six dysregulated proteins with more than twofold expressions were quantified, 22 of which were first reported to be relevant with GC. Most of them were involved in cancers and gastrointestinal disease. The expression of a panel of four upregulated nucleic acid binding proteins, heterogeneous nuclear ribonucleoprotein hnRNPA2B1, hnRNPD, hnRNPL and Y-box binding protein 1 (YBX-1) were validated by Nano-LC-MS/MS, qRT-PCR, western blot and immunohistochemistry assays in ten GC patients’ tissues. They were located in the keynotes of a predicted interaction network and might play important roles in abnormal cell growth. The label-free quantitative proteomic approach provides a deeper understanding and novel insight into GC-related molecular changes and possible mechanisms. It also provides some potential biomarkers for clinical diagnosis. MDPI 2016-01-21 /pmc/articles/PMC4730314/ /pubmed/26805816 http://dx.doi.org/10.3390/ijms17010069 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dai, Peng
Wang, Qin
Wang, Weihua
Jing, Ruirui
Wang, Wei
Wang, Fengqin
Azadzoi, Kazem M.
Yang, Jing-Hua
Yan, Zhen
Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis
title Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis
title_full Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis
title_fullStr Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis
title_full_unstemmed Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis
title_short Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis
title_sort unraveling molecular differences of gastric cancer by label-free quantitative proteomics analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730314/
https://www.ncbi.nlm.nih.gov/pubmed/26805816
http://dx.doi.org/10.3390/ijms17010069
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