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Comparative proteomics analysis of human osteosarcoma by 2D DIGE with MALDI-TOF/TOF MS

Osteosarcoma (OS) is the most common primary malignant tumor of bone and the third most common cancer in childhood and adolescence. However, controversy concerning the ideal combination of chemotherapy agents ensued throughout the last quarter of the 20th century because of conflicting and often non...

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Autores principales: Wang, Guoxiang, zhang, Zhengyao, Yang, Maoguang, Xu, Bo, gao, Qi, Yang, Xiaoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154703/
https://www.ncbi.nlm.nih.gov/pubmed/28008374
http://dx.doi.org/10.1016/j.jbo.2016.05.002
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author Wang, Guoxiang
zhang, Zhengyao
Yang, Maoguang
Xu, Bo
gao, Qi
Yang, Xiaoyu
author_facet Wang, Guoxiang
zhang, Zhengyao
Yang, Maoguang
Xu, Bo
gao, Qi
Yang, Xiaoyu
author_sort Wang, Guoxiang
collection PubMed
description Osteosarcoma (OS) is the most common primary malignant tumor of bone and the third most common cancer in childhood and adolescence. However, controversy concerning the ideal combination of chemotherapy agents ensued throughout the last quarter of the 20th century because of conflicting and often nonrandomized data. Collaborative efforts to increase understanding of the biology of osteosarcoma and the use of preclinical models to test novel protein targets will be critical to identify the path toward improving outcomes for patients. We attempted to identify potential protein markers or therapy targets of osteosarcoma and give a glance at tumorigenesis of osteosarcoma. A sensitive and accurate method was employed in comparative proteomic analysis between benign tumor and osteosarcoma. Tumor tissues obtained by open biopsy before induction chemotherapy were investigated With 2D DIGE and MALDI-TOF/TOF MS, 22 differentially expressed proteins were identified after database searching, including 8 up-regulated and 14 down-regulated proteins. We also validated the expression levels of interesting proteins(have higher Ratios(tumor/normal)) by Western blotting assay. Annotating by bioinformatic tools, we found structural and signal transduction associated proteins were in large percentage among altered level proteins. In particular, some low abundant proteins involving translation and transcription, such as EEF2(Elongation Factor 2), LUM Lumican 23 kDa Protein) and GTF2A2(Transcription Initiation Factor Iia Gamma Chain.), were firstly reported by our study comparing to previous observations. Our findings suggest that these differential proteins may be potential biomarkers for diagnosis or molecules for understanding of osteosarcoma tumorigenesis, coming with biologic, preclinical, and clinical trial efforts being described to improve outcomes for patients.
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spelling pubmed-51547032016-12-22 Comparative proteomics analysis of human osteosarcoma by 2D DIGE with MALDI-TOF/TOF MS Wang, Guoxiang zhang, Zhengyao Yang, Maoguang Xu, Bo gao, Qi Yang, Xiaoyu J Bone Oncol Research Paper Osteosarcoma (OS) is the most common primary malignant tumor of bone and the third most common cancer in childhood and adolescence. However, controversy concerning the ideal combination of chemotherapy agents ensued throughout the last quarter of the 20th century because of conflicting and often nonrandomized data. Collaborative efforts to increase understanding of the biology of osteosarcoma and the use of preclinical models to test novel protein targets will be critical to identify the path toward improving outcomes for patients. We attempted to identify potential protein markers or therapy targets of osteosarcoma and give a glance at tumorigenesis of osteosarcoma. A sensitive and accurate method was employed in comparative proteomic analysis between benign tumor and osteosarcoma. Tumor tissues obtained by open biopsy before induction chemotherapy were investigated With 2D DIGE and MALDI-TOF/TOF MS, 22 differentially expressed proteins were identified after database searching, including 8 up-regulated and 14 down-regulated proteins. We also validated the expression levels of interesting proteins(have higher Ratios(tumor/normal)) by Western blotting assay. Annotating by bioinformatic tools, we found structural and signal transduction associated proteins were in large percentage among altered level proteins. In particular, some low abundant proteins involving translation and transcription, such as EEF2(Elongation Factor 2), LUM Lumican 23 kDa Protein) and GTF2A2(Transcription Initiation Factor Iia Gamma Chain.), were firstly reported by our study comparing to previous observations. Our findings suggest that these differential proteins may be potential biomarkers for diagnosis or molecules for understanding of osteosarcoma tumorigenesis, coming with biologic, preclinical, and clinical trial efforts being described to improve outcomes for patients. Elsevier 2016-05-12 /pmc/articles/PMC5154703/ /pubmed/28008374 http://dx.doi.org/10.1016/j.jbo.2016.05.002 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Wang, Guoxiang
zhang, Zhengyao
Yang, Maoguang
Xu, Bo
gao, Qi
Yang, Xiaoyu
Comparative proteomics analysis of human osteosarcoma by 2D DIGE with MALDI-TOF/TOF MS
title Comparative proteomics analysis of human osteosarcoma by 2D DIGE with MALDI-TOF/TOF MS
title_full Comparative proteomics analysis of human osteosarcoma by 2D DIGE with MALDI-TOF/TOF MS
title_fullStr Comparative proteomics analysis of human osteosarcoma by 2D DIGE with MALDI-TOF/TOF MS
title_full_unstemmed Comparative proteomics analysis of human osteosarcoma by 2D DIGE with MALDI-TOF/TOF MS
title_short Comparative proteomics analysis of human osteosarcoma by 2D DIGE with MALDI-TOF/TOF MS
title_sort comparative proteomics analysis of human osteosarcoma by 2d dige with maldi-tof/tof ms
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154703/
https://www.ncbi.nlm.nih.gov/pubmed/28008374
http://dx.doi.org/10.1016/j.jbo.2016.05.002
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