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Volumn 7, Issue 1, 2014, Pages

Functional characterization of breast cancer using pathway profiles

Author keywords

Breast cancer; Enrichment analysis; Pathway; Pathway profile; Signature genes

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR 2; ERBB2 PROTEIN, HUMAN;

EID: 84904445867     PISSN: None     EISSN: 17558794     Source Type: Journal    
DOI: 10.1186/1755-8794-7-45     Document Type: Article
Times cited : (10)

References (95)
  • 1
    • 34447521460 scopus 로고    scopus 로고
    • Human disease classification in the postgenomic era: A complex systems approach to human pathobiology
    • Human disease classification in the postgenomic era: a complex systems approach to human pathobiology. Loscalzo J, Kohane I, Barabasi AL, Mol Syst Biol 2007 3 124
    • (2007) Mol Syst Biol , vol.3 , pp. 124
    • Loscalzo, J.1    Kohane, I.2    Barabasi, A.L.3
  • 2
    • 42349094620 scopus 로고    scopus 로고
    • Medicine. The ultimate model organism
    • Medicine. The ultimate model organism. Butte AJ, Science 2008 320 325 327
    • (2008) Science , vol.320 , pp. 325-327
    • Butte, A.J.1
  • 3
    • 49749114386 scopus 로고    scopus 로고
    • Can systems biology understand pathway activation? Gene expression signatures as surrogate markers for understanding the complexity of pathway activation
    • Can systems biology understand pathway activation? Gene expression signatures as surrogate markers for understanding the complexity of pathway activation. Itadani H, Mizuarai S, Kotani H, Curr Genomics 2008 9 349 360
    • (2008) Curr Genomics , vol.9 , pp. 349-360
    • Itadani, H.1    Mizuarai, S.2    Kotani, H.3
  • 4
    • 61349182713 scopus 로고    scopus 로고
    • Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data
    • Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data. Liu JG, Campen A, Huang SG, Peng SB, Ye X, Palakal M, Dunker AK, Xia YN, Li SY, BMC Med Genet 2008 1 39
    • (2008) BMC Med Genet , vol.1 , pp. 39
    • Liu, J.G.1    Campen, A.2    Huang, S.G.3    Peng, S.B.4    Ye, X.5    Palakal, M.6    Dunker, A.K.7    Xia, Y.N.8    Li, S.Y.9
  • 12
    • 77953004083 scopus 로고    scopus 로고
    • Why most gene expression signatures of tumors have not been useful in the clinic
    • Why most gene expression signatures of tumors have not been useful in the clinic. Koscielny S, Sci Transl Med 2010 2 14ps12
    • (2010) Sci Transl Med , vol.2
    • Koscielny, S.1
  • 14
    • 13444282534 scopus 로고    scopus 로고
    • Outcome signature genes in breast cancer: Is there a unique set?
    • DOI 10.1093/bioinformatics/bth469
    • Outcome signature genes in breast cancer: is there a unique set? Ein-Dor L, Kela I, Getz G, Givol D, Domany E, Bioinformatics 2005 21 171 178 (Pubitemid 40202018)
    • (2005) Bioinformatics , vol.21 , Issue.2 , pp. 171-178
    • Ein-Dor, L.1    Kela, I.2    Getz, G.3    Givol, D.4    Domany, E.5
  • 15
    • 33645825183 scopus 로고    scopus 로고
    • Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
    • Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Ein-Dor L, Zuk O, Domany E, Proc Natl Acad Sci U S A 2006 103 5923 5928
    • (2006) Proc Natl Acad Sci U S A , vol.103 , pp. 5923-5928
    • Ein-Dor, L.1    Zuk, O.2    Domany, E.3
  • 16
    • 31444431754 scopus 로고    scopus 로고
    • Reliability and reproducibility issues in DNA microarray measurements
    • DOI 10.1016/j.tig.2005.12.005, PII S0168952505003598
    • Reliability and reproducibility issues in DNA microarray measurements. Draghici S, Khatri P, Eklund AC, Szallasi Z, Trends Genet 2006 22 101 109 (Pubitemid 43152029)
    • (2006) Trends in Genetics , vol.22 , Issue.2 , pp. 101-109
    • Draghici, S.1    Khatri, P.2    Eklund, A.C.3    Szallasi, Z.4
  • 17
    • 0742305866 scopus 로고    scopus 로고
    • Network biology: Understanding the cell's functional organization
    • DOI 10.1038/nrg1272
    • Network biology: understanding the cell's functional organization. Barabasi AL, Oltvai ZN, Nat Rev Genet 2004 5 101 113 (Pubitemid 38160277)
    • (2004) Nature Reviews Genetics , vol.5 , Issue.2 , pp. 101-113
    • Barabasi, A.-L.1    Oltvai, Z.N.2
  • 20
    • 79952687473 scopus 로고    scopus 로고
    • Do two machine-learning based prognostic signatures for breast cancer capture the same biological processes?
    • Do two machine-learning based prognostic signatures for breast cancer capture the same biological processes? Drier Y, Domany E, Plos One 2011 6 3 17795
    • (2011) Plos One , vol.6 , Issue.3 , pp. 517795
    • Drier, Y.1    Domany, E.2
  • 21
    • 33845545435 scopus 로고    scopus 로고
    • The modular nature of genetic diseases
    • DOI 10.1111/j.1399-0004.2006.00708.x
    • The modular nature of genetic diseases. Oti M, Brunner HG, Clin Genet 2007 71 1 11 (Pubitemid 44921616)
    • (2007) Clinical Genetics , vol.71 , Issue.1 , pp. 1-11
    • Oti, M.1    Brunner, H.G.2
  • 22
    • 70350248793 scopus 로고    scopus 로고
    • Statistical aspects of gene signatures and molecular targets
    • Statistical aspects of gene signatures and molecular targets. Gonen M, Gastrointest Cancer Res 2009 3 19 S21
    • (2009) Gastrointest Cancer Res , vol.3
    • Gonen, M.1
  • 23
    • 57749089653 scopus 로고    scopus 로고
    • Approaches to complex pathways in molecular epidemiology: Summary of a Special Conference of the American Association for Cancer Research
    • Approaches to complex pathways in molecular epidemiology: summary of a Special Conference of the American Association for Cancer Research. Thomas DC, Baurley JW, Brown EE, Figueiredo JC, Goldstein A, Hazra A, Wilson RT, Rothman N, Cancer Res 2008 68 10028 10030
    • (2008) Cancer Res , vol.68 , pp. 10028-10030
    • Thomas, D.C.1    Baurley, J.W.2    Brown, E.E.3    Figueiredo, J.C.4    Goldstein, A.5    Hazra, A.6    Wilson, R.T.7    Rothman, N.8
  • 25
  • 26
    • 6944244084 scopus 로고    scopus 로고
    • A module map showing conditional activity of expression modules in cancer
    • DOI 10.1038/ng1434
    • A module map showing conditional activity of expression modules in cancer. Segal E, Friedman N, Koller D, Regev A, Nat Genet 2004 36 1090 1098 (Pubitemid 41184471)
    • (2004) Nature Genetics , vol.36 , Issue.10 , pp. 1090-1098
    • Segal, E.1    Friedman, N.2    Koller, D.3    Regev, A.4
  • 28
    • 79958152651 scopus 로고    scopus 로고
    • Pathway Analysis of expression data: Deciphering functional building blocks of complex diseases
    • Pathway Analysis of expression data: deciphering functional building blocks of complex diseases. Emmert-Streib F, Glazko GV, Plos Comput Biol 2011 7 1002053
    • (2011) Plos Comput Biol , vol.7 , pp. 51002053
    • Emmert-Streib, F.1    Glazko, G.V.2
  • 29
    • 14844332708 scopus 로고    scopus 로고
    • Pathway information for systems biology
    • DOI 10.1016/j.febslet.2005.02.005, Systems Biology
    • Pathway information for systems biology. Cary MP, Bader GD, Sander C, FEBS Letters 2005 579 1815 1820 (Pubitemid 40342658)
    • (2005) FEBS Letters , vol.579 , Issue.8 , pp. 1815-1820
    • Cary, M.P.1    Bader, G.D.2    Sander, C.3
  • 30
    • 84863193521 scopus 로고    scopus 로고
    • Pathway-based classification of cancer subtypes
    • Pathway-based classification of cancer subtypes. Kim S, Kon M, DeLisi C, Biol Direct 2012 7 21
    • (2012) Biol Direct , vol.7 , pp. 21
    • Kim, S.1    Kon, M.2    Delisi, C.3
  • 31
    • 77949365759 scopus 로고    scopus 로고
    • Identification of functional modules that correlate with phenotypic difference: The influence of network topology
    • Identification of functional modules that correlate with phenotypic difference: the influence of network topology. Hung JH, Whitfield TW, Yang TH, Hu Z, Weng Z, DeLisi C, Genome Biol 2010 11 23
    • (2010) Genome Biol , vol.11 , pp. 1823
    • Hung, J.H.1    Whitfield, T.W.2    Yang, T.H.3    Hu, Z.4    Weng, Z.5    Delisi, C.6
  • 38
    • 0033982936 scopus 로고    scopus 로고
    • KEGG: Kyoto Encyclopedia of Genes and Genomes
    • KEGG: kyoto encyclopedia of genes and genomes. Kanehisa M, Goto S, Nucleic Acids Res 2000 28 27 30 (Pubitemid 30047706)
    • (2000) Nucleic Acids Research , vol.28 , Issue.1 , pp. 27-30
    • Kanehisa, M.1    Goto, S.2
  • 40
    • 84861793773 scopus 로고    scopus 로고
    • Gene set enrichment analysis: Performance evaluation and usage guidelines
    • Gene set enrichment analysis: performance evaluation and usage guidelines. Hung JH, Yang TH, Hu ZJ, Weng ZP, DeLisi C, Brief Bioinform 2012 13 281 291
    • (2012) Brief Bioinform , vol.13 , pp. 281-291
    • Hung, J.H.1    Yang, T.H.2    Hu, Z.J.3    Weng, Z.P.4    Delisi, C.5
  • 42
    • 84861708138 scopus 로고    scopus 로고
    • Molecular biology in breast cancer: Intrinsic subtypes and signaling pathways
    • Molecular biology in breast cancer: intrinsic subtypes and signaling pathways. Eroles P, Bosch A, Perez-Fidalgo JA, Lluch A, Cancer Treat Rev 2012 38 698 707
    • (2012) Cancer Treat Rev , vol.38 , pp. 698-707
    • Eroles, P.1    Bosch, A.2    Perez-Fidalgo, J.A.3    Lluch, A.4
  • 44
    • 0001677717 scopus 로고
    • Controlling the false discovery rate - A practical and powerful approach to multiple testing
    • Controlling the false discovery rate-a practical and powerful approach to multiple testing. Benjamini Y, Hochberg Y, J R Stat Soc Ser B-Methodological 1995 57 289 300
    • (1995) J R Stat Soc ser B-Methodological , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 45
    • 70449389190 scopus 로고    scopus 로고
    • Microarray platform consistency is revealed by biologically functional analysis of gene expression profiles
    • Microarray platform consistency is revealed by biologically functional analysis of gene expression profiles. Li ZG, Su ZQ, Wen ZN, Shi LM, Chen T, BMC Bioinformatics 2009 10 Suppl 11 12
    • (2009) BMC Bioinformatics , vol.10 , Issue.SUPPL. 11 , pp. 1912
    • Li, Z.G.1    Su, Z.Q.2    Wen, Z.N.3    Shi, L.M.4    Chen, T.5
  • 47
    • 50649089207 scopus 로고    scopus 로고
    • RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
    • RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays. Marioni JC, Mason CE, Mane SM, Stephens M, Gilad Y, Genome Res 2008 18 1509 1517
    • (2008) Genome Res , vol.18 , pp. 1509-1517
    • Marioni, J.C.1    Mason, C.E.2    Mane, S.M.3    Stephens, M.4    Gilad, Y.5
  • 48
    • 57749195712 scopus 로고    scopus 로고
    • RNA-Seq: A revolutionary tool for transcriptomics
    • RNA-Seq: a revolutionary tool for transcriptomics. Wang Z, Gerstein M, Snyder M, Nat Rev Genet 2009 10 57 63
    • (2009) Nat Rev Genet , vol.10 , pp. 57-63
    • Wang, Z.1    Gerstein, M.2    Snyder, M.3
  • 49
    • 84861123691 scopus 로고    scopus 로고
    • Ten Years of pathway analysis: Current approaches and outstanding challenges
    • Ten Years of pathway analysis: current approaches and outstanding challenges. Khatri P, Sirota M, Butte AJ, Plos Comput Biol 2012 8 1002375
    • (2012) Plos Comput Biol , vol.8 , pp. 51002375
    • Khatri, P.1    Sirota, M.2    Butte, A.J.3
  • 50
    • 84860512005 scopus 로고    scopus 로고
    • Links between metabolism and cancer
    • Links between metabolism and cancer. Dang CV, Genes Dev 2012 26 877 890
    • (2012) Genes Dev , vol.26 , pp. 877-890
    • Dang, C.V.1
  • 51
    • 27244434794 scopus 로고    scopus 로고
    • Pathogenesis of mantle-cell lymphoma: All oncogenic roads lead to dysregulation of cell cycle and DNA damage response pathways
    • DOI 10.1200/JCO.2005.05.019
    • Pathogenesis of mantle-cell lymphoma: all oncogenic roads lead to dysregulation of cell cycle and DNA damage response pathways. Fernadez V, Hartmann E, Ott G, Campo E, Rosenwald A, J Clin Oncol 2005 23 6364 6369 (Pubitemid 46218848)
    • (2005) Journal of Clinical Oncology , vol.23 , Issue.26 , pp. 6364-6369
    • Fernandez, V.1    Hartmann, E.2    Ott, G.3    Campo, E.4    Rosenwald, A.5
  • 53
    • 80051978793 scopus 로고    scopus 로고
    • Network-based prediction for sources of transcriptional dysregulation using latent pathway identification analysis
    • Network-based prediction for sources of transcriptional dysregulation using latent pathway identification analysis. Pham L, Christadore L, Schaus S, Kolaczyk ED, Proc Natl Acad Sci U S A 2011 108 13347 13352
    • (2011) Proc Natl Acad Sci U S A , vol.108 , pp. 13347-13352
    • Pham, L.1    Christadore, L.2    Schaus, S.3    Kolaczyk, E.D.4
  • 54
    • 33644513730 scopus 로고    scopus 로고
    • Beyond PTEN mutations: The PI3K pathway as an integrator of multiple inputs during tumorigenesis
    • DOI 10.1038/nrc1819, PII N1819
    • Beyond PTEN mutations: the PI3K pathway as an integrator of multiple inputs during tumorigenesis. Cully M, You H, Levine AJ, Mak TW, Nat Rev Cancer 2006 6 184 192 (Pubitemid 43292562)
    • (2006) Nature Reviews Cancer , vol.6 , Issue.3 , pp. 184-192
    • Cully, M.1    You, H.2    Levine, A.J.3    Mak, T.W.4
  • 56
    • 12144269500 scopus 로고    scopus 로고
    • Crosstalk between estrogen receptor and growth factor receptor pathways as a cause for endocrine therapy resistance in breast cancer
    • Crosstalk between estrogen receptor and growth factor receptor pathways as a cause for endocrine therapy resistance in breast cancer. Osborne CK, Shou J, Massarweh S, Schiff R, Clin Cancer Res 2005 11 865s 870s (Pubitemid 40111098)
    • (2005) Clinical Cancer Research , vol.11 , Issue.2
    • Osborne, C.K.1    Shou, J.2    Massarweh, S.3    Schiff, R.4    Come, S.5    Santen, R.6    Johnston, S.7
  • 58
    • 57349191639 scopus 로고    scopus 로고
    • Genotoxic stress-induced cyclin D1 phosphorylation and proteolysis are required for genomic stability
    • Genotoxic stress-induced cyclin D1 phosphorylation and proteolysis are required for genomic stability. Pontano LL, Aggarwal P, Barbash O, Brown EJ, Bassing CH, Diehl JA, Mol Cell Biol 2008 28 7245 7258
    • (2008) Mol Cell Biol , vol.28 , pp. 7245-7258
    • Pontano, L.L.1    Aggarwal, P.2    Barbash, O.3    Brown, E.J.4    Bassing, C.H.5    Diehl, J.A.6
  • 61
    • 84905406861 scopus 로고    scopus 로고
    • Metabotropic glutamate receptor-1 is oncogenic in triple-negative breast cancer
    • Metabotropic glutamate receptor-1 is oncogenic in triple-negative breast cancer. Banda M, Speyer C, Gorski D, Ann Surg Oncol 2012 19 23 23
    • (2012) Ann Surg Oncol , vol.19 , pp. 23-23
    • Banda, M.1    Speyer, C.2    Gorski, D.3
  • 63
    • 63749086305 scopus 로고    scopus 로고
    • ErbB receptors and signaling pathways in cancer
    • ErbB receptors and signaling pathways in cancer. Hynes NE, MacDonald G, Curr Opin Cell Biol 2009 21 177 184
    • (2009) Curr Opin Cell Biol , vol.21 , pp. 177-184
    • Hynes, N.E.1    Macdonald, G.2
  • 65
    • 33644780644 scopus 로고    scopus 로고
    • Gene annotation and network inference by phylogenetic profiling
    • Gene annotation and network inference by phylogenetic profiling. Wu J, Hu Z, DeLisi C, BMC Bioinformatics 2006 7 80
    • (2006) BMC Bioinformatics , vol.7 , pp. 80
    • Wu, J.1    Hu, Z.2    Delisi, C.3
  • 66
    • 79955934629 scopus 로고    scopus 로고
    • Gitools: Analysis and visualisation of genomic data using interactive heat-maps
    • Gitools: analysis and visualisation of genomic data using interactive heat-maps. Perez-Llamas C, Lopez-Bigas N, Plos One 2011 6 19541
    • (2011) Plos One , vol.6 , pp. 519541
    • Perez-Llamas, C.1    Lopez-Bigas, N.2
  • 68
    • 2942609149 scopus 로고    scopus 로고
    • VisANT: An online visualization and analysis tool for biological interaction data
    • VisANT: an online visualization and analysis tool for biological interaction data. Hu Z, Mellor J, Wu J, DeLisi C, BMC Bioinformatics 2004 5 17
    • (2004) BMC Bioinformatics , vol.5 , pp. 17
    • Hu, Z.1    Mellor, J.2    Wu, J.3    Delisi, C.4
  • 70
    • 45949092783 scopus 로고    scopus 로고
    • VisANT: An integrative framework for networks in systems biology
    • DOI 10.1093/bib/bbn020, Special Issue: Critical Technologies for Bioinformatics
    • VisANT: an integrative framework for networks in systems biology. Hu Z, Snitkin ES, DeLisi C, Brief Bioinform 2008 9 317 325 (Pubitemid 351890828)
    • (2008) Briefings in Bioinformatics , vol.9 , Issue.4 , pp. 317-325
    • Hu, Z.1    Snitkin, E.S.2    Delisi, C.3
  • 74
  • 75
    • 36048947234 scopus 로고    scopus 로고
    • Breast cancer: Origins and evolution
    • DOI 10.1172/JCI33295
    • Breast cancer: origins and evolution. Polyak K, J Clin Invest 2007 117 3155 3163 (Pubitemid 350096968)
    • (2007) Journal of Clinical Investigation , vol.117 , Issue.11 , pp. 3155-3163
    • Polyak, K.1
  • 76
    • 66649098171 scopus 로고    scopus 로고
    • Minireview: Obesity and breast cancer: The estrogen connection
    • Minireview: obesity and breast cancer: the estrogen connection. Cleary MP, Grossmann ME, Endocrinology 2009 150 2537 2542
    • (2009) Endocrinology , vol.150 , pp. 2537-2542
    • Cleary, M.P.1    Grossmann, M.E.2
  • 81
    • 34548742517 scopus 로고    scopus 로고
    • Identification of functional modules using network topology and high-throughput data
    • Identification of functional modules using network topology and high-throughput data. Ulitsky I, Shamir R, BMC Syst Biol 2007 1 8
    • (2007) BMC Syst Biol , vol.1 , pp. 8
    • Ulitsky, I.1    Shamir, R.2
  • 82
    • 8144228566 scopus 로고    scopus 로고
    • Why do cancers have high aerobic glycolysis?
    • DOI 10.1038/nrc1478
    • Why do cancers have high aerobic glycolysis? Gatenby RA, Gillies RJ, Nat Rev Cancer 2004 4 891 899 (Pubitemid 39472955)
    • (2004) Nature Reviews Cancer , vol.4 , Issue.11 , pp. 891-899
    • Gatenby, R.A.1    Gillies, R.J.2
  • 85
    • 77958036740 scopus 로고    scopus 로고
    • Comparative survival analysis of breast cancer microarray studies identifies important prognostic genetic pathways
    • Comparative survival analysis of breast cancer microarray studies identifies important prognostic genetic pathways. Miecznikowski JC, Wang D, Liu S, Sucheston L, Gold D, BMC Cancer 2010 10 573
    • (2010) BMC Cancer , vol.10 , pp. 573
    • Miecznikowski, J.C.1    Wang, D.2    Liu, S.3    Sucheston, L.4    Gold, D.5
  • 86
    • 0034658924 scopus 로고    scopus 로고
    • Activity in human breast cancer cell lines: N(ω)-hydroxy-L-arginine selectively inhibits cell proliferation and induces apoptosis in MDA-MB-468 cells
    • Arginase activity in human breast cancer cell lines: N (omega)-hydroxy-L-arginine selectively inhibits cell proliferation and induces apoptosis in MDA-MB-468 cells. Singh R, Pervin S, Karimi A, Cederbaum S, Chaudhuri G, Cancer Res 2000 60 3305 3312 (Pubitemid 30407931)
    • (2000) Cancer Research , vol.60 , Issue.12 , pp. 3305-3312
    • Singh, R.1    Pervin, S.2    Karimi, A.3    Cederbaum, S.4    Chaudhuri, G.5
  • 88
    • 79956289372 scopus 로고    scopus 로고
    • Identification of metabolites in the normal ovary and their transformation in primary and metastatic ovarian cancer
    • Identification of metabolites in the normal ovary and their transformation in primary and metastatic ovarian cancer. Fong MY, McDunn J, Kakar SS, PLoS One 2011 6 19963
    • (2011) PLoS One , vol.6 , pp. 519963
    • Fong, M.Y.1    McDunn, J.2    Kakar, S.S.3
  • 90
    • 38449103060 scopus 로고    scopus 로고
    • The Fanconi anemia pathway and ubiquitin
    • The Fanconi anemia pathway and ubiquitin. Jacquemont C, Taniguchi T, BMC Biochem 2007 8 Suppl 1 10
    • (2007) BMC Biochem , vol.8 , Issue.SUPPL. 1 , pp. 1910
    • Jacquemont, C.1    Taniguchi, T.2
  • 92
    • 34247468876 scopus 로고    scopus 로고
    • Regulation of the actin cytoskeleton in cancer cell migration and invasion
    • DOI 10.1016/j.bbamcr.2006.07.001, PII S0167488906001558
    • Regulation of the actin cytoskeleton in cancer cell migration and invasion. Yamaguchi H, Condeelis J, Biochim BiophysActa 2007 1773 642 652 (Pubitemid 46660177)
    • (2007) Biochimica et Biophysica Acta - Molecular Cell Research , vol.1773 , Issue.5 , pp. 642-652
    • Yamaguchi, H.1    Condeelis, J.2
  • 93
    • 0037064030 scopus 로고    scopus 로고
    • Dual inhibition of focal adhesion kinase and epidermal growth factor receptor pathways cooperatively induces death receptor-mediated apoptosis in human breast cancer cells
    • DOI 10.1074/jbc.M205002200
    • Dual inhibition of focal adhesion kinase and epidermal growth factor receptor pathways cooperatively induces death receptor-mediated apoptosis in human breast cancer cells. Golubovskaya V, Beviglia L, Xu LH, Earp HS 3rd, Craven R, Cance W, J Biol Chem 2002 277 38978 38987 (Pubitemid 35154764)
    • (2002) Journal of Biological Chemistry , vol.277 , Issue.41 , pp. 38978-38987
    • Golubovskaya, V.1    Beviglia, L.2    Xu, L.-H.3    Shelton Earp III, H.4    Craven, R.5    Cance, W.6
  • 95
    • 23044512910 scopus 로고    scopus 로고
    • The brain within the tumor: New roles for axon guidance molecules in cancers
    • DOI 10.1038/sj.cdd.4401707
    • The brain within the tumor: new roles for axon guidance molecules in cancers. Chedotal A, Kerjan G, Moreau-Fauvarque C, Cell Death Differ 2005 12 1044 1056 (Pubitemid 41065422)
    • (2005) Cell Death and Differentiation , vol.12 , Issue.8 , pp. 1044-1056
    • Chedotal, A.1    Kerjan, G.2    Moreau-Fauvarque, C.3


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