Literature DB >> 19492781

Proteomic analysis of chemonaive pediatric osteosarcomas and corresponding normal bone reveals multiple altered molecular targets.

Cecilia Folio1, María I Mora, Marta Zalacain, Fernando J Corrales, Victor Segura, Luis Sierrasesúmaga, Gemma Toledo, Mikel San-Julián, Ana Patiño-García.   

Abstract

With a view to identify the proteins involved in transformation, metastasis or chemoresistance in pediatric osteosarcoma, we carried out a new experimental approach based on comparison of the proteomic profile of paired samples of osteosarcoma and normal bone tissues from the same patient. The proteomic profiles of five pairs of cell lines (normal vs tumoral) were obtained by two-dimensional difference gel electrophoresis. We detected 56 differential protein spots (t test, p < 0.05). Subsequent protein characterization by nano-LC-ESI-MS/MS enabled us to identify some of these proteins, 16 of which were chosen on the basis of the change of their relative abundance between osteosarcomas and paired normal bones and also because their involvement was supported by the genomic analysis. Two of the 16 proteins, Alpha-crystallin B chain (CRYAB) and ezrin (EZR1), were selected for further studies: an immunohistochemical analysis of a TMA (tissue microarray) and real-time PCR for a set of 14 osteosarcoma/normal-bone pairs. The results of this second tier of studies confirmed that there were significant increases in the amounts of CRYAB and ezrin, especially in advanced stages of the disease. Our overall conclusion is that proteomic profiling of paired samples of osteosarcoma and normal bone tissues from the same patient is a practicable and potentially powerful way of initiating and proceeding with a search for proteins and genes involved in pediatric osteosarcoma.

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Year:  2009        PMID: 19492781     DOI: 10.1021/pr900113w

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  17 in total

1.  Evaluation of eIF4E expression in an osteosarcoma-specific tissue microarray.

Authors:  Tanasa S Osborne; Ling Ren; John H Healey; Lauren Q Shapiro; Alexander J Chou; Richard G Gorlick; Stephen M Hewitt; Chand Khanna
Journal:  J Pediatr Hematol Oncol       Date:  2011-10       Impact factor: 1.289

Review 2.  Molecular genetic studies of gene identification for osteoporosis: the 2009 update.

Authors:  Xiang-Hong Xu; Shan-Shan Dong; Yan Guo; Tie-Lin Yang; Shu-Feng Lei; Christopher J Papasian; Ming Zhao; Hong-Wen Deng
Journal:  Endocr Rev       Date:  2010-03-31       Impact factor: 19.871

3.  Plasma membrane proteomic analysis of human osteosarcoma and osteoblastic cells: revealing NDRG1 as a marker for osteosarcoma.

Authors:  Yingqi Hua; Xiaofang Jia; Mengxiong Sun; Longpo Zheng; Lin Yin; Lijun Zhang; Zhengdong Cai
Journal:  Tumour Biol       Date:  2011-06-25

4.  Gene expression signatures of primary and metastatic uterine leiomyosarcoma.

Authors:  Ben Davidson; Vera Maria Abeler; Mette Førsund; Arild Holth; Yanqin Yang; Yusuke Kobayashi; Lily Chen; Gunnar B Kristensen; Ie-Ming Shih; Tian-Li Wang
Journal:  Hum Pathol       Date:  2013-11-13       Impact factor: 3.466

5.  Proteomics in bone research.

Authors:  Hengwei Zhang; Robert Recker; Wai-Nang Paul Lee; Gary Guishan Xiao
Journal:  Expert Rev Proteomics       Date:  2010-02       Impact factor: 3.940

6.  Comparative proteomic analysis of plasma membrane proteins between human osteosarcoma and normal osteoblastic cell lines.

Authors:  Zhiyu Zhang; Lijun Zhang; Yingqi Hua; Xiaofang Jia; Jian Li; Shuo Hu; Xia Peng; Pengyuan Yang; Mengxiong Sun; Fang Ma; Zhengdong Cai
Journal:  BMC Cancer       Date:  2010-05-14       Impact factor: 4.430

7.  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

8.  Proteomic technologies for the study of osteosarcoma.

Authors:  Stephanie D Byrum; Charity L Washam; Corey O Montgomery; Alan J Tackett; Larry J Suva
Journal:  Sarcoma       Date:  2012-03-06

9.  Discovery of biomarkers for osteosarcoma by proteomics approaches.

Authors:  Yoshiyuki Suehara; Daisuke Kubota; Kazutaka Kikuta; Kazuo Kaneko; Akira Kawai; Tadashi Kondo
Journal:  Sarcoma       Date:  2012-11-21

10.  Comparative analysis of the surface exposed proteome of two canine osteosarcoma cell lines and normal canine osteoblasts.

Authors:  Milan Milovancev; Ian Hilgart-Martiszus; Michael J McNamara; Cheri P Goodall; Bernard Seguin; Shay Bracha; Samanthi I Wickramasekara
Journal:  BMC Vet Res       Date:  2013-06-13       Impact factor: 2.741

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