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Low-molecular-mass secretome profiling identifies HMGA2 and MIF as prognostic biomarkers for oral cavity squamous cell carcinoma
The profiling of cancer cell secretomes is considered to be a good strategy for identifying cancer-related biomarkers, but few studies have focused on identifying low-molecular-mass (LMr) proteins (<15 kDa) in cancer cell secretomes. Here, we used tricine–SDS-gel-assisted fractionation and LC–MS/...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650660/ https://www.ncbi.nlm.nih.gov/pubmed/26138061 http://dx.doi.org/10.1038/srep11689 |
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author | Chang, Kai-Ping Lin, Shih-Jie Liu, Shiau-Chin Yi, Jui-Shan Chien, Kun-Yi Chi, Lang-Ming Kao, Huang-Kai Liang, Ying Lin, Yu-Tsun Chang, Yu-Sun Yu, Jau-Song |
author_facet | Chang, Kai-Ping Lin, Shih-Jie Liu, Shiau-Chin Yi, Jui-Shan Chien, Kun-Yi Chi, Lang-Ming Kao, Huang-Kai Liang, Ying Lin, Yu-Tsun Chang, Yu-Sun Yu, Jau-Song |
author_sort | Chang, Kai-Ping |
collection | PubMed |
description | The profiling of cancer cell secretomes is considered to be a good strategy for identifying cancer-related biomarkers, but few studies have focused on identifying low-molecular-mass (LMr) proteins (<15 kDa) in cancer cell secretomes. Here, we used tricine–SDS-gel-assisted fractionation and LC–MS/MS to systemically identify LMr proteins in the secretomes of five oral cavity squamous cell carcinoma (OSCC) cell lines. Cross-matching of these results with nine OSCC tissue transcriptome datasets allowed us to identify 33 LMr genes/proteins that were highly upregulated in OSCC tissues and secreted/released from OSCC cells. Immunohistochemistry and quantitative real-time PCR were used to verify the overexpression of two candidates, HMGA2 and MIF, in OSCC tissues. The overexpressions of both proteins were associated with cervical metastasis, perineural invasion, deeper tumor invasion, higher overall stage, and a poorer prognosis for post-treatment survival. Functional assays further revealed that both proteins promoted the migration and invasion of OSCC cell lines in vitro. Collectively, our data indicate that the tricine–SDS-gel/LC–MS/MS approach can be used to efficiently identify LMr proteins from OSCC cell secretomes, and suggest that HMGA2 and MIF could be potential tissue biomarkers for OSCC. |
format | Online Article Text |
id | pubmed-4650660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46506602015-11-24 Low-molecular-mass secretome profiling identifies HMGA2 and MIF as prognostic biomarkers for oral cavity squamous cell carcinoma Chang, Kai-Ping Lin, Shih-Jie Liu, Shiau-Chin Yi, Jui-Shan Chien, Kun-Yi Chi, Lang-Ming Kao, Huang-Kai Liang, Ying Lin, Yu-Tsun Chang, Yu-Sun Yu, Jau-Song Sci Rep Article The profiling of cancer cell secretomes is considered to be a good strategy for identifying cancer-related biomarkers, but few studies have focused on identifying low-molecular-mass (LMr) proteins (<15 kDa) in cancer cell secretomes. Here, we used tricine–SDS-gel-assisted fractionation and LC–MS/MS to systemically identify LMr proteins in the secretomes of five oral cavity squamous cell carcinoma (OSCC) cell lines. Cross-matching of these results with nine OSCC tissue transcriptome datasets allowed us to identify 33 LMr genes/proteins that were highly upregulated in OSCC tissues and secreted/released from OSCC cells. Immunohistochemistry and quantitative real-time PCR were used to verify the overexpression of two candidates, HMGA2 and MIF, in OSCC tissues. The overexpressions of both proteins were associated with cervical metastasis, perineural invasion, deeper tumor invasion, higher overall stage, and a poorer prognosis for post-treatment survival. Functional assays further revealed that both proteins promoted the migration and invasion of OSCC cell lines in vitro. Collectively, our data indicate that the tricine–SDS-gel/LC–MS/MS approach can be used to efficiently identify LMr proteins from OSCC cell secretomes, and suggest that HMGA2 and MIF could be potential tissue biomarkers for OSCC. Nature Publishing Group 2015-07-03 /pmc/articles/PMC4650660/ /pubmed/26138061 http://dx.doi.org/10.1038/srep11689 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Chang, Kai-Ping Lin, Shih-Jie Liu, Shiau-Chin Yi, Jui-Shan Chien, Kun-Yi Chi, Lang-Ming Kao, Huang-Kai Liang, Ying Lin, Yu-Tsun Chang, Yu-Sun Yu, Jau-Song Low-molecular-mass secretome profiling identifies HMGA2 and MIF as prognostic biomarkers for oral cavity squamous cell carcinoma |
title | Low-molecular-mass secretome profiling identifies HMGA2 and MIF as prognostic biomarkers for oral cavity squamous cell carcinoma |
title_full | Low-molecular-mass secretome profiling identifies HMGA2 and MIF as prognostic biomarkers for oral cavity squamous cell carcinoma |
title_fullStr | Low-molecular-mass secretome profiling identifies HMGA2 and MIF as prognostic biomarkers for oral cavity squamous cell carcinoma |
title_full_unstemmed | Low-molecular-mass secretome profiling identifies HMGA2 and MIF as prognostic biomarkers for oral cavity squamous cell carcinoma |
title_short | Low-molecular-mass secretome profiling identifies HMGA2 and MIF as prognostic biomarkers for oral cavity squamous cell carcinoma |
title_sort | low-molecular-mass secretome profiling identifies hmga2 and mif as prognostic biomarkers for oral cavity squamous cell carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650660/ https://www.ncbi.nlm.nih.gov/pubmed/26138061 http://dx.doi.org/10.1038/srep11689 |
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