Literature DB >> 19921788

Global genomic and proteomic analysis identifies biological pathways related to high-risk neuroblastoma.

Qing-Rong Chen1, Young K Song, Li-Rong Yu, Jun S Wei, Joon-Yong Chung, Stephen M Hewitt, Timothy D Veenstra, Javed Khan.   

Abstract

Neuroblastoma (NB) is a heterogeneous pediatric tumor. To better understand the biological pathways involved in the development of high-risk neuroblastoma, we performed parallel global protein and mRNA expression profiling on NB tumors of stage 4 MYCN-amplified (4+) and stage 1 MYCN-not-amplified (1-) using isotope-coded affinity tags (ICAT) and Affymetrix U133plus2 microarray, respectively. A total of 1461 proteins represented by 2 or more peptides were identified from the quantitative ICAT analysis, of which 433 and 130 proteins are up- or down-regulated, respectively, in 4+ tumor compared to the 1- tumor. Pathway analysis of the differentially expressed proteins showed the enrichment of glycolysis, DNA replication and cell cycle processes in the up-regulated proteins and cell adhesion, nervous system development and cell differentiation processes in the down-regulated proteins in 4+ tumor; suggesting a less mature neural and a more invasive phenotype of 4+ tumor. Myc targets and ribosomal proteins are overrepresented in the 4+ tumors as expected; functional gene sets reported to be enriched in neural and embryonic stem cells are significantly enriched in the 4+ tumor, indicating the existence of a stemness signature in MYCN-amplified stage 4 tumor. In addition, protein and mRNA expression are moderately correlated (r = 0.51, p < 0.0001), as approximately half of the up-regulated proteins in 4+ tumor have elevated mRNA level (n = 208), and one-third of down-regulated proteins have lower mRNA expression (n = 47). Further biological network analysis revealed that the differentially expressed proteins closely interact with other proteins of known networks; the important role of MYCN is confirmed and other transcription factors identified in the network may have potential roles in the biology of NB tumor. We used global genomic and proteomic analysis to identify biologically relevant proteins and pathways important to NB progression and development that may provide new insights into the biology of advanced neuroblastoma.

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Year:  2010        PMID: 19921788      PMCID: PMC2801773          DOI: 10.1021/pr900701v

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


  31 in total

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2.  Anti-apoptosis gene, survivin, and prognosis of neuroblastoma.

Authors:  C Adida; D Berrebi; M Peuchmaur; M Reyes-Mugica; D C Altieri
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3.  Quantitative analysis of complex protein mixtures using isotope-coded affinity tags.

Authors:  S P Gygi; B Rist; S A Gerber; F Turecek; M H Gelb; R Aebersold
Journal:  Nat Biotechnol       Date:  1999-10       Impact factor: 54.908

4.  Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas.

Authors:  Miki Ohira; Shigeyuki Oba; Yohko Nakamura; Eriko Isogai; Setsuko Kaneko; Atsuko Nakagawa; Takahiro Hirata; Hiroyuki Kubo; Takeshi Goto; Saichi Yamada; Yasuko Yoshida; Misa Fuchioka; Shin Ishii; Akira Nakagawara
Journal:  Cancer Cell       Date:  2005-04       Impact factor: 31.743

5.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

6.  Biological role of anaplastic lymphoma kinase in neuroblastoma.

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Review 7.  Why do cancers have high aerobic glycolysis?

Authors:  Robert A Gatenby; Robert J Gillies
Journal:  Nat Rev Cancer       Date:  2004-11       Impact factor: 60.716

8.  Evaluation of the acid-cleavable isotope-coded affinity tag reagents: application to camptothecin-treated cortical neurons.

Authors:  Li-Rong Yu; Thomas P Conrads; Takuma Uo; Haleem J Issaq; Richard S Morrison; Timothy D Veenstra
Journal:  J Proteome Res       Date:  2004 May-Jun       Impact factor: 4.466

9.  Human N-myc is closely related in organization and nucleotide sequence to c-myc.

Authors:  N E Kohl; E Legouy; R A DePinho; P D Nisen; R K Smith; C E Gee; F W Alt
Journal:  Nature       Date:  1986 Jan 2-8       Impact factor: 49.962

10.  cDNA array-CGH profiling identifies genomic alterations specific to stage and MYCN-amplification in neuroblastoma.

Authors:  Qing-Rong Chen; Sven Bilke; Jun S Wei; Craig C Whiteford; Nicola Cenacchi; Alexei L Krasnoselsky; Braden T Greer; Chang-Gue Son; Frank Westermann; Frank Berthold; Manfred Schwab; Daniel Catchpoole; Javed Khan
Journal:  BMC Genomics       Date:  2004-09-20       Impact factor: 3.969

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  18 in total

1.  Molecular imaging of neuroblastoma progression in TH-MYCN transgenic mice.

Authors:  Carmelo Quarta; Erika Cantelli; Cristina Nanni; Valentina Ambrosini; Daniela D'ambrosio; Korinne Di Leo; Silvia Angelucci; Federico Zagni; Filippo Lodi; Mario Marengo; William A Weiss; Andrea Pession; Roberto Tonelli; Stefano Fanti
Journal:  Mol Imaging Biol       Date:  2013-04       Impact factor: 3.488

Review 2.  Approaches for targeted proteomics and its potential applications in neuroscience.

Authors:  Sumit Sethi; Dipti Chourasia; Ishwar S Parhar
Journal:  J Biosci       Date:  2015-09       Impact factor: 1.826

3.  Systematic proteome analysis identifies transcription factor YY1 as a direct target of miR-34a.

Authors:  Qing-Rong Chen; Li-Rong Yu; Patricia Tsang; Jun S Wei; Young K Song; Adam Cheuk; Joon-Yong Chung; Stephen M Hewitt; Timothy D Veenstra; Javed Khan
Journal:  J Proteome Res       Date:  2010-12-23       Impact factor: 4.466

4.  Design of a multi-signature ensemble classifier predicting neuroblastoma patients' outcome.

Authors:  Andrea Cornero; Massimo Acquaviva; Paolo Fardin; Rogier Versteeg; Alexander Schramm; Alessandra Eva; Maria Carla Bosco; Fabiola Blengio; Sara Barzaghi; Luigi Varesio
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5.  High genomic instability predicts survival in metastatic high-risk neuroblastoma.

Authors:  Sara Stigliani; Simona Coco; Stefano Moretti; Andrè Oberthuer; Mattias Fischer; Jessica Theissen; Fabio Gallo; Alberto Garavent; Frank Berthold; Stefano Bonassi; Gian Paolo Tonini; Paola Scaruffi
Journal:  Neoplasia       Date:  2012-09       Impact factor: 5.715

6.  CDK Inhibitors Roscovitine and CR8 Trigger Mcl-1 Down-Regulation and Apoptotic Cell Death in Neuroblastoma Cells.

Authors:  Karima Bettayeb; Dianne Baunbæk; Claire Delehouze; Nadège Loaëc; Alison J Hole; Sonja Baumli; Jane A Endicott; Setha Douc-Rasy; Jean Bénard; Nassima Oumata; Hervé Galons; Laurent Meijer
Journal:  Genes Cancer       Date:  2010-04

7.  Quantitative nuclear proteomics identifies that miR-137-mediated EZH2 reduction regulates resveratrol-induced apoptosis of neuroblastoma cells.

Authors:  Xiaoqing Ren; Xue Bai; Xuefei Zhang; Zheyi Li; Lingfang Tang; Xuyang Zhao; Zeyang Li; Yanfei Ren; Shicheng Wei; Qingsong Wang; Cong Liu; Jianguo Ji
Journal:  Mol Cell Proteomics       Date:  2014-12-11       Impact factor: 5.911

8.  Identifier mapping performance for integrating transcriptomics and proteomics experimental results.

Authors:  Roger S Day; Kevin K McDade; Uma R Chandran; Alex Lisovich; Thomas P Conrads; Brian L Hood; V S Kumar Kolli; David Kirchner; Traci Litzi; G Larry Maxwell
Journal:  BMC Bioinformatics       Date:  2011-05-27       Impact factor: 3.169

9.  Exon array analysis reveals neuroblastoma tumors have distinct alternative splicing patterns according to stage and MYCN amplification status.

Authors:  Xiang Guo; Qing-Rong Chen; Young K Song; Jun S Wei; Javed Khan
Journal:  BMC Med Genomics       Date:  2011-04-18       Impact factor: 3.063

10.  Identification of cell surface proteins as potential immunotherapy targets in 12 pediatric cancers.

Authors:  Rimas J Orentas; James J Yang; Xinyu Wen; Jun S Wei; Crystal L Mackall; Javed Khan
Journal:  Front Oncol       Date:  2012-12-17       Impact factor: 6.244

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