Literature DB >> 16331252

A gene fusion network in human neoplasia.

M Höglund1, A Frigyesi, F Mitelman.   

Abstract

Cancer is, at the cellular level, a genetic disease and acquired gene fusions play a causal role in the initiation of the neoplastic process either by activating proto-oncogenes or creating hybrid genes. We constructed a network by combining the 5' and 3' parts of all presently known gene fusions in human neoplasia and here we show that the observed network is fragmented and that the organization of the genes demonstrates a scale-free network topology with a power law degree distribution meeting the requirements of P(k) approximately k(-gamma), that is, conforming to the distributions found in naturally occurring networks such as the Internet and social or ecological networks. The results hence indicate that the complex system of pairwise interacting genes leading to neoplasia is governed by a universal principle.

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Year:  2006        PMID: 16331252     DOI: 10.1038/sj.onc.1209290

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  9 in total

1.  Identification of cancer fusion drivers using network fusion centrality.

Authors:  Chia-Chin Wu; Kalpana Kannan; Steven Lin; Laising Yen; Aleksandar Milosavljevic
Journal:  Bioinformatics       Date:  2013-03-16       Impact factor: 6.937

2.  Kinase impact assessment in the landscape of fusion genes that retain kinase domains: a pan-cancer study.

Authors:  Pora Kim; Peilin Jia; Zhongming Zhao
Journal:  Brief Bioinform       Date:  2018-05-01       Impact factor: 11.622

3.  ChiPPI: a novel method for mapping chimeric protein-protein interactions uncovers selection principles of protein fusion events in cancer.

Authors:  Milana Frenkel-Morgenstern; Alessandro Gorohovski; Somnath Tagore; Vaishnovi Sekar; Miguel Vazquez; Alfonso Valencia
Journal:  Nucleic Acids Res       Date:  2017-07-07       Impact factor: 16.971

Review 4.  Discovering and understanding oncogenic gene fusions through data intensive computational approaches.

Authors:  Natasha S Latysheva; M Madan Babu
Journal:  Nucleic Acids Res       Date:  2016-04-21       Impact factor: 16.971

5.  TICdb: a collection of gene-mapped translocation breakpoints in cancer.

Authors:  Francisco J Novo; Iñigo Ortiz de Mendíbil; José L Vizmanos
Journal:  BMC Genomics       Date:  2007-01-26       Impact factor: 3.969

6.  Reconstitution of the ERG Gene Expression Network Reveals New Biomarkers and Therapeutic Targets in ERG Positive Prostate Tumors.

Authors:  Alexey Dubovenko; Tatiana Serebryiskaya; Yuri Nikolsky; Tatiana Nikolskaya; Ally Perlina; Lellean JeBailey; Svetlana Bureeva; Shilpa Katta; Shiv Srivastava; Albert Dobi; Tatiana Khasanova
Journal:  J Cancer       Date:  2015-04-01       Impact factor: 4.207

7.  Genome-wide detection of hybrid genes with multiple components in human.

Authors:  Yun-Huei Tzeng; Sheng-Shun Wang
Journal:  BMC Res Notes       Date:  2009-05-06

8.  Signatures of selection in fusion transcripts resulting from chromosomal translocations in human cancer.

Authors:  Iñigo Ortiz de Mendíbil; José L Vizmanos; Francisco J Novo
Journal:  PLoS One       Date:  2009-03-12       Impact factor: 3.240

9.  Molecular Principles of Gene Fusion Mediated Rewiring of Protein Interaction Networks in Cancer.

Authors:  Natasha S Latysheva; Matt E Oates; Louis Maddox; Tilman Flock; Julian Gough; Marija Buljan; Robert J Weatheritt; M Madan Babu
Journal:  Mol Cell       Date:  2016-08-18       Impact factor: 17.970

  9 in total

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