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Volumn 104, Issue 4, 2012, Pages 262-263

Gene signatures revisited

Author keywords

[No Author keywords available]

Indexed keywords

TUMOR MARKER;

EID: 84857604394     PISSN: 00278874     EISSN: 14602105     Source Type: Journal    
DOI: 10.1093/jnci/djr557     Document Type: Editorial
Times cited : (4)

References (19)
  • 1
    • 84857540547 scopus 로고    scopus 로고
    • A three-gene model to robustly identify breast cancer molecular subtypes
    • Haibe-Kains B, Desmedt C, Loi S, et al. A three-gene model to robustly identify breast cancer molecular subtypes. J Natl Cancer Inst. 2012; 104 (4): 311-325.
    • (2012) J Natl Cancer Inst , vol.104 , Issue.4 , pp. 311-325
    • Haibe-Kains, B.1    Desmedt, C.2    Loi, S.3
  • 3
    • 77956492136 scopus 로고    scopus 로고
    • Simple and flexible classification via Swirls-and-Ripples
    • Baker SG. Simple and flexible classification via Swirls-and-Ripples. BMC Bioinformatics. 2010; 11: 452.
    • (2010) BMC Bioinformatics , vol.11 , pp. 452
    • Baker, S.G.1
  • 4
    • 80053533738 scopus 로고    scopus 로고
    • Microarray-based cancer prediction using single genes
    • Wang X, Simon R. Microarray-based cancer prediction using single genes. BMC Bioinformatics. 2011; 12: 391.
    • (2011) BMC Bioinformatics , vol.12 , pp. 391
    • Wang, X.1    Simon, R.2
  • 6
    • 79954623572 scopus 로고    scopus 로고
    • The tissue organization field theory of cancer: A testable replacement for the somatic mutation theory
    • Soto AM, Sonnenschein C. The tissue organization field theory of cancer: a testable replacement for the somatic mutation theory. Bioessays. 2011; 33 (5): 332-340.
    • (2011) Bioessays , vol.33 , Issue.5 , pp. 332-340
    • Soto, A.M.1    Sonnenschein, C.2
  • 7
    • 33745886270 scopus 로고    scopus 로고
    • Classifier technology and the illusion of progress
    • DOI 10.1214/088342306000000060
    • Hand DJ. Classifier technology and the illusion of progress. Statist Sci. 2006; 21 (1): 1-14. (Pubitemid 44046906)
    • (2006) Statistical Science , vol.21 , Issue.1 , pp. 1-14
    • Hand, D.J.1
  • 8
    • 33947645465 scopus 로고    scopus 로고
    • Gene expression profiling: Does it add predictive accuracy to clinical characteristics in cancer prognosis?
    • DOI 10.1016/j.ejca.2006.11.018, PII S0959804906010616
    • Dunkler D, Michiels S, Schemper M. Gene expression profiling. Does it add predictive accuracy to clinical characteristics in cancer progression? Eur J Cancer. 2007; 43 (4): 745-751. (Pubitemid 46502906)
    • (2007) European Journal of Cancer , vol.43 , Issue.4 , pp. 745-751
    • Dunkler, D.1    Michiels, S.2    Schemper, M.3
  • 9
    • 79952392467 scopus 로고    scopus 로고
    • Why don't we get more cancer? A proposed role of the microenvironment in restraining cancer progression
    • Bissell MJ, Hines WC. Why don't we get more cancer? A proposed role of the microenvironment in restraining cancer progression. Nat Med. 2011; 17 (3): 320-329.
    • (2011) Nat Med , vol.17 , Issue.3 , pp. 320-329
    • Bissell, M.J.1    Hines, W.C.2
  • 10
    • 81355148564 scopus 로고    scopus 로고
    • TOFT better explains experimental results in cancer research than SMT
    • Baker SG. TOFT better explains experimental results in cancer research than SMT. Bioessays. 2011; 33 (12): 919-921.
    • (2011) Bioessays , vol.33 , Issue.12 , pp. 919-921
    • Baker, S.G.1
  • 11
    • 33751312857 scopus 로고    scopus 로고
    • Gene expression signatures of morphologically normal breast tissue identify basal-like tumors
    • Finak G, Sadakova S, Pepin F, et al. Gene expression signatures of morphologically normal breast tissue identify basal-like tumors. Breast Cancer Res. 2006; 8: R58.
    • (2006) Breast Cancer Res , vol.8
    • Finak, G.1    Sadakova, S.2    Pepin, F.3
  • 12
    • 19344363035 scopus 로고    scopus 로고
    • Gene expression signature of fibroblast serum response predicts human cancer progression: Similarities between tumors and wounds
    • Chang HY, Sneddon JB, Alizadeh AA. Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds. PLoS Biol. 2004; 4 (2): 206-214.
    • (2004) PLoS Biol , vol.4 , Issue.2 , pp. 206-214
    • Chang, H.Y.1    Sneddon, J.B.2    Alizadeh, A.A.3
  • 13
    • 33750905259 scopus 로고    scopus 로고
    • Decision curve analysis: A novel method for evaluating prediction models
    • DOI 10.1177/0272989X06295361
    • Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006; 26 (6): 565-574. (Pubitemid 44728772)
    • (2006) Medical Decision Making , vol.26 , Issue.6 , pp. 565-574
    • Vickers, A.J.1    Elkin, E.B.2
  • 14
    • 72949090243 scopus 로고    scopus 로고
    • Putting risk prediction in perspective: Relative utility curves
    • Baker SG. Putting risk prediction in perspective: relative utility curves. J Natl Cancer Inst. 2009; 101 (22): 1538-1542.
    • (2009) J Natl Cancer Inst , vol.101 , Issue.22 , pp. 1538-1542
    • Baker, S.G.1
  • 15
    • 76349100026 scopus 로고    scopus 로고
    • Randomized clinical trials with biomarkers: Design issues
    • Freidlin B, McShane LM, Korn EL. Randomized clinical trials with biomarkers: design issues. J Natl Cancer Inst. 2010; 102 (3): 152-160.
    • (2010) J Natl Cancer Inst , vol.102 , Issue.3 , pp. 152-160
    • Freidlin, B.1    McShane, L.M.2    Korn, E.L.3
  • 16
    • 27744537954 scopus 로고    scopus 로고
    • Adaptive signature design: An adaptive clinical trial design for generating and prospectively testing a gene expression signature for sensitive patients
    • DOI 10.1158/1078-0432.CCR-05-0605
    • Freidlin B, Simon R. Adaptive signature design: an adaptive clinical trial design for generating and prospectively testing a gene expression signature for sensitive patients. Clin Cancer Res. 2005; 11 (21): 7872-7878. (Pubitemid 41611633)
    • (2005) Clinical Cancer Research , vol.11 , Issue.21 , pp. 7872-7878
    • Freidlin, B.1    Simon, R.2
  • 17
    • 34447646946 scopus 로고    scopus 로고
    • Method for evaluating prediction models that apply the results of randomized trials to individual patients
    • Vickers AJ, Kattan MW, Sargent DJ. Method for evaluating prediction models that apply the results of randomized trials to individual patients. Trials. 2007; 9: 14.
    • (2007) Trials , vol.9 , pp. 14
    • Vickers, A.J.1    Kattan, M.W.2    Sargent, D.J.3
  • 18
    • 79953133534 scopus 로고    scopus 로고
    • Analysis of randomized comparative clinical trial data for personalized treatment selections
    • Cai T, Tian L, Wong PH, Wei LJ. Analysis of randomized comparative clinical trial data for personalized treatment selections. Biostatistics. 2011; 12 (2): 270-282.
    • (2011) Biostatistics , vol.12 , Issue.2 , pp. 270-282
    • Cai, T.1    Tian, L.2    Wong, P.H.3    Wei, L.J.4
  • 19
    • 0034668136 scopus 로고    scopus 로고
    • A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data
    • Bonetti M, Gelber RD. A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data. Stat Med. 2000; 19 (19): 2595-2609.
    • (2000) Stat Med , vol.19 , Issue.19 , pp. 2595-2609
    • Bonetti, M.1    Gelber, R.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.