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Article

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

1
State Key Laboratory of Cancer Biology, Department of Pharmacogenomics, School of Pharmacy, Fourth Military Medical University, Xi’an 710032, China
2
The Cancer Research Center, School of Medicine, Shandong University, Jinan 250012, China
3
Departments of Surgery and Urology, Boston Veterans Affairs Healthcare System, Boston University School of Medicine, Boston, MA 02130, USA
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: William Chi-shing Cho
Int. J. Mol. Sci. 2016, 17(1), 69; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms17010069
Received: 10 November 2015 / Revised: 16 December 2015 / Accepted: 25 December 2015 / Published: 21 January 2016
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. View Full-Text
Keywords: gastric cancer; LC-MS/MS; Label-free quantitative proteomics; heterogeneous nuclear ribonucleoprotein; Y-box binding protein 1 gastric cancer; LC-MS/MS; Label-free quantitative proteomics; heterogeneous nuclear ribonucleoprotein; Y-box binding protein 1
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MDPI and ACS Style

Dai, P.; Wang, Q.; Wang, W.; Jing, R.; Wang, W.; Wang, F.; Azadzoi, K.M.; Yang, J.-H.; Yan, Z. Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis. Int. J. Mol. Sci. 2016, 17, 69. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms17010069

AMA Style

Dai P, Wang Q, Wang W, Jing R, Wang W, Wang F, Azadzoi KM, Yang J-H, Yan Z. Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis. International Journal of Molecular Sciences. 2016; 17(1):69. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms17010069

Chicago/Turabian Style

Dai, Peng, Qin Wang, Weihua Wang, Ruirui Jing, Wei Wang, Fengqin Wang, Kazem M. Azadzoi, Jing-Hua Yang, and Zhen Yan. 2016. "Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis" International Journal of Molecular Sciences 17, no. 1: 69. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms17010069

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