Literature DB >> 21136678

2-D DIGE and MALDI-TOF-MS analysis of the serum proteome in human osteosarcoma.

Song Jin1, Jing-Nan Shen, Qian-Chen Guo, Jia-Guo Zhou, Jin Wang, Gang Huang, Chang-Ye Zou, Jun-Qiang Yin, Shao-Jun Liu, Wei Liu, Ming-Tao Li, Li-Na Wang.   

Abstract

We performed 2-D DIGE on proteins prepared from serum obtained from patients with osteosarcoma (OS) and controls, to identify differentially expressed proteins that might serve as serum biomarkers for OS prognosis. Proteins found to be differentially expressed were identified by MALDI-TOF mass spectrometric analysis, coupled with database interrogation. We compared serum samples from four individuals with OS to four age- and sex-matched healthy controls. We identified 24 protein spot-features that were significantly increased, and 34 that were significantly decreased in serum from patients with OS relative to the controls. The MS analysis revealed 18 unique proteins that were increased, and 25 unique proteins that were decreased in OS serum samples. Western blot and ELISA analysis confirmed increased levels of amyloid-related serum protein (SAA) in the OS serum samples. The increased expression levels of SAA were decreased after using MTX and cisplatin combination chemotherapy, and were further decreased after operation. Moreover, increased expression levels of sera SAA were seen in the relapsed patients. Our results suggested that the determination of serum SAA in OS patients might be utilized as a marker for relapse and in evaluation of the efficacy of therapy.
Copyright © 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2007        PMID: 21136678     DOI: 10.1002/prca.200600869

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  8 in total

1.  The prognostic significance of circulating serum amyloid A and CXC chemokine ligand 4 in osteosarcoma.

Authors:  Ricardo J Flores; Aaron J Kelly; Yiting Li; Xiang Chen; Colin McGee; Mark Krailo; Donald A Barkauskas; John Hicks; Tsz-Kwong Man
Journal:  Pediatr Blood Cancer       Date:  2017-05-24       Impact factor: 3.167

2.  Molecular mechanism of acute radiation enteritis revealed using proteomics and biological signaling network analysis in rats.

Authors:  Shunxin Song; Dianke Chen; Tenghui Ma; Yanxin Luo; Zuli Yang; Daohai Wang; Xinjuan Fan; Qiyuan Qin; Beibei Ni; Xuefeng Guo; Zhenyu Xian; Ping Lan; Xinping Cao; Mingtao Li; Jianping Wang; Lei Wang
Journal:  Dig Dis Sci       Date:  2014-06-14       Impact factor: 3.199

3.  Biomarkers for Bone Tumors: Discovery from Genomics and Proteomics Studies and Their Challenges.

Authors:  Wan I Wan-Ibrahim; Vivek A Singh; Onn H Hashim; Puteri S Abdul-Rahman
Journal:  Mol Med       Date:  2015-11-13       Impact factor: 6.354

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

Authors:  Guoxiang Wang; Zhengyao Zhang; Maoguang Yang; Bo Xu; Qi Gao; Xiaoyu Yang
Journal:  J Bone Oncol       Date:  2016-05-12       Impact factor: 4.072

5.  Exploring targeted therapy of osteosarcoma using proteomics data.

Authors:  Parunya Chaiyawat; Jongkolnee Settakorn; Apiruk Sangsin; Pimpisa Teeyakasem; Jeerawan Klangjorhor; Aungsumalee Soongkhaw; Dumnoensun Pruksakorn
Journal:  Onco Targets Ther       Date:  2017-02-01       Impact factor: 4.147

Review 6.  Mass Spectrometric-Based Proteomics for Biomarker Discovery in Osteosarcoma: Current Status and Future Direction.

Authors:  Nutnicha Sirikaew; Dumnoensun Pruksakorn; Parunya Chaiyawat; Somchai Chutipongtanate
Journal:  Int J Mol Sci       Date:  2022-08-28       Impact factor: 6.208

7.  An integrative multi-platform analysis for discovering biomarkers of osteosarcoma.

Authors:  Guodong Li; Wenjuan Zhang; Huazong Zeng; Lei Chen; Wenjing Wang; Jilong Liu; Zhiyu Zhang; Zhengdong Cai
Journal:  BMC Cancer       Date:  2009-05-16       Impact factor: 4.430

8.  Differences in atrial fibrillation‑associated proteins between the left and right atrial appendages from patients with rheumatic mitral valve disease: A comparative proteomic analysis.

Authors:  Hai Liu; Guangxian Chen; Hongsheng Zheng; Han Qin; Mengya Liang; Kangni Feng; Zhongkai Wu
Journal:  Mol Med Rep       Date:  2016-09-26       Impact factor: 2.952

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.