메뉴 건너뛰기




Volumn 30, Issue 16, 2012, Pages 1912-1915

Assessing the clinical relevance of oncogenic pathways in neoadjuvant breast cancer

Author keywords

[No Author keywords available]

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR 2; ESTROGEN RECEPTOR;

EID: 84863919414     PISSN: 0732183X     EISSN: 15277755     Source Type: Journal    
DOI: 10.1200/JCO.2012.41.7386     Document Type: Editorial
Times cited : (7)

References (45)
  • 2
    • 33645730357 scopus 로고    scopus 로고
    • Activation of mitogen-activated protein kinase in estrogen receptor alpha-positive breast cancer cells in vitro induces an in vivo molecular phenotype of estrogen receptor alpha-negative human breast tumors
    • Creighton CJ, Hilger AM, Murthy S, et al: Activation of mitogen-activated protein kinase in estrogen receptor alpha-positive breast cancer cells in vitro induces an in vivo molecular phenotype of estrogen receptor alpha-negative human breast tumors. Cancer Res 66:3903-3911, 2006
    • (2006) Cancer Res , vol.66 , pp. 3903-3911
    • Creighton, C.J.1    Hilger, A.M.2    Murthy, S.3
  • 4
    • 34648829133 scopus 로고    scopus 로고
    • An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer
    • Teschendorff AE, Miremadi A, Pinder SE, et al: An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer. Genome Biol 8:R157, 2007
    • (2007) Genome Biol , vol.8
    • Teschendorff, A.E.1    Miremadi, A.2    Pinder, S.E.3
  • 6
    • 51649091930 scopus 로고    scopus 로고
    • Insulin-like growth factor-I activates gene transcription programs strongly associated with poor breast cancer prognosis
    • Creighton CJ, Casa A, Lazard Z, et al: Insulin-like growth factor-I activates gene transcription programs strongly associated with poor breast cancer prognosis. J Clin Oncol 26:4078-4085, 2008
    • (2008) J Clin Oncol , vol.26 , pp. 4078-4085
    • Creighton, C.J.1    Casa, A.2    Lazard, Z.3
  • 7
    • 51349088017 scopus 로고    scopus 로고
    • Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes
    • Desmedt C, Haibe-Kains B, Wirapati P, et al: Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes. Clin Cancer Res 14:5158-5165, 2008
    • (2008) Clin Cancer Res , vol.14 , pp. 5158-5165
    • Desmedt, C.1    Haibe-Kains, B.2    Wirapati, P.3
  • 8
    • 58149334773 scopus 로고    scopus 로고
    • A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer
    • Farmer P, Bonnefoi H, Anderle P, et al: A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer. Nat Med 15:68-74, 2009
    • (2009) Nat Med , vol.15 , pp. 68-74
    • Farmer, P.1    Bonnefoi, H.2    Anderle, P.3
  • 9
    • 77953422867 scopus 로고    scopus 로고
    • PIK3CA mutations associated with gene signature of low mTORC1 signaling and better outcomes in estrogen receptor-positive breast cancer
    • Loi S, Haibe-Kains B, Majjaj S, et al: PIK3CA mutations associated with gene signature of low mTORC1 signaling and better outcomes in estrogen receptor-positive breast cancer. Proc Natl Acad Sci U S A 107:10208-10213, 2010
    • (2010) Proc Natl Acad Sci U S A , vol.107 , pp. 10208-10213
    • Loi, S.1    Haibe-Kains, B.2    Majjaj, S.3
  • 11
    • 78049466887 scopus 로고    scopus 로고
    • Evaluation of a 30-gene paclitaxel, fluorouracil, doxorubicin, and cyclophosphamide chemotherapy response predictor in a multicenter randomized trial in breast cancer
    • Tabchy A, Valero V, Vidaurre T, et al: Evaluation of a 30-gene paclitaxel, fluorouracil, doxorubicin, and cyclophosphamide chemotherapy response predictor in a multicenter randomized trial in breast cancer. Clin Cancer Res 16:5351-5361, 2010
    • (2010) Clin Cancer Res , vol.16 , pp. 5351-5361
    • Tabchy, A.1    Valero, V.2    Vidaurre, T.3
  • 12
    • 79551710060 scopus 로고    scopus 로고
    • Gene pathways associated with prognosis and chemotherapy sensitivity in molecular subtypes of breast cancer
    • Iwamoto T, Bianchini G, Booser D, et al: Gene pathways associated with prognosis and chemotherapy sensitivity in molecular subtypes of breast cancer. J Natl Cancer Inst 103:264-272, 2011
    • (2011) J Natl Cancer Inst , vol.103 , pp. 264-272
    • Iwamoto, T.1    Bianchini, G.2    Booser, D.3
  • 13
    • 79955008762 scopus 로고    scopus 로고
    • Multifactorial approach to predicting resistance to anthracyclines
    • Desmedt C, Di Leo A, de Azambuja E, et al: Multifactorial approach to predicting resistance to anthracyclines. J Clin Oncol 29:1578-1586, 2011
    • (2011) J Clin Oncol , vol.29 , pp. 1578-1586
    • Desmedt, C.1    Di Leo, A.2    De Azambuja, E.3
  • 14
    • 79957527931 scopus 로고    scopus 로고
    • TP53 status for prediction of sensitivity to taxane versus non-taxane neoadjuvant chemotherapy in breast cancer (EORTC 10994/BIG 1-00): A randomised phase 3 trial
    • Bonnefoi H, Piccart M, Bogaerts J, et al: TP53 status for prediction of sensitivity to taxane versus non-taxane neoadjuvant chemotherapy in breast cancer (EORTC 10994/BIG 1-00): A randomised phase 3 trial. Lancet Oncol 12:527-539, 2011
    • (2011) Lancet Oncol , vol.12 , pp. 527-539
    • Bonnefoi, H.1    Piccart, M.2    Bogaerts, J.3
  • 15
    • 79955798310 scopus 로고    scopus 로고
    • A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer
    • Hatzis C, Pusztai L, Valero V, et al: A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer. JAMA 305:1873-1881, 2011
    • (2011) JAMA , vol.305 , pp. 1873-1881
    • Hatzis, C.1    Pusztai, L.2    Valero, V.3
  • 16
    • 80052883298 scopus 로고    scopus 로고
    • Prediction of response to neoadjuvant chemotherapy: New biomarker approaches and concepts
    • Denkert C, Sinn BV, Issa Y, et al: Prediction of response to neoadjuvant chemotherapy: New biomarker approaches and concepts. Breast Care 6:265-272, 2011
    • (2011) Breast Care , vol.6 , pp. 265-272
    • Denkert, C.1    Sinn, B.V.2    Issa, Y.3
  • 17
    • 84855180116 scopus 로고    scopus 로고
    • International expert consensus on primary systemic therapy in the management of early breast cancer: Highlights of the Fourth Symposium on Primary Systemic Therapy in the Management of Operable Breast Cancer, Cremona, Italy (2010)
    • Berruti A, Generali D, Kaufmann M, et al: International expert consensus on primary systemic therapy in the management of early breast cancer: Highlights of the Fourth Symposium on Primary Systemic Therapy in the Management of Operable Breast Cancer, Cremona, Italy (2010). J Natl Cancer Inst Monogr 2011:147-151, 2011
    • (2011) J Natl Cancer Inst Monogr , vol.2011 , pp. 147-151
    • Berruti, A.1    Generali, D.2    Kaufmann, M.3
  • 18
    • 67649993411 scopus 로고    scopus 로고
    • Predictive biomarkers: Identification and verification
    • Yeatman TJ: Predictive biomarkers: Identification and verification. J Clin Oncol 27:2743-2744, 2009
    • (2009) J Clin Oncol , vol.27 , pp. 2743-2744
    • Yeatman, T.J.1
  • 19
    • 77950500673 scopus 로고    scopus 로고
    • Defining the clinical utility of gene expression assays in breast cancer: The intersection of science and art in clinical decision making
    • Sparano JA, Solin LJ: Defining the clinical utility of gene expression assays in breast cancer: The intersection of science and art in clinical decision making. J Clin Oncol 28:1625-1627, 2010
    • (2010) J Clin Oncol , vol.28 , pp. 1625-1627
    • Sparano, J.A.1    Solin, L.J.2
  • 20
    • 78650735473 scopus 로고    scopus 로고
    • The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
    • Shi L, Campbell G, Jones WD, et al: The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nat Biotechnol 28:827-838, 2010
    • (2010) Nat Biotechnol , vol.28 , pp. 827-838
    • Shi, L.1    Campbell, G.2    Jones, W.D.3
  • 21
    • 78650899897 scopus 로고    scopus 로고
    • Microarray data analysis in neoadjuvant biomarker studies in estrogen receptor-positive breast cancer
    • Luo J, Ellis MJ: Microarray data analysis in neoadjuvant biomarker studies in estrogen receptor-positive breast cancer. Breast Cancer Res 12:112, 2010
    • (2010) Breast Cancer Res , vol.12 , pp. 112
    • Luo, J.1    Ellis, M.J.2
  • 22
    • 33846978784 scopus 로고    scopus 로고
    • Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting
    • Dupuy A, Simon RM: Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. J Natl Cancer Inst 99:147-157, 2007
    • (2007) J Natl Cancer Inst , vol.99 , pp. 147-157
    • Dupuy, A.1    Simon, R.M.2
  • 23
    • 84863936531 scopus 로고    scopus 로고
    • Gene modules and response to neoadjuvant chemotherapy in breast cancer subtypes: A pooled analysis
    • Ignatiadis M, Singhal SK, Desmedt C, et al: Gene modules and response to neoadjuvant chemotherapy in breast cancer subtypes: A pooled analysis. J Clin Oncol 30:1996-2004, 2012
    • (2012) J Clin Oncol , vol.30 , pp. 1996-2004
    • Ignatiadis, M.1    Singhal, S.K.2    Desmedt, C.3
  • 24
    • 2942724235 scopus 로고    scopus 로고
    • mTOR inhibition reverses Akt-dependent prostate intraepithelial neoplasia through regulation of apoptotic and HIF-1-dependent pathways
    • Majumder PK, Febbo PG, Bikoff R, et al: mTOR inhibition reverses Akt-dependent prostate intraepithelial neoplasia through regulation of apoptotic and HIF-1-dependent pathways. Nat Med 10:594-601, 2004
    • (2004) Nat Med , vol.10 , pp. 594-601
    • Majumder, P.K.1    Febbo, P.G.2    Bikoff, R.3
  • 26
    • 33748286796 scopus 로고    scopus 로고
    • A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers
    • DOI 10.1038/ng1861, PII NG1861
    • Carter SL, Eklund AC, Kohane IS, et al: A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers. Nat Genet 38:1043-1048, 2006 (Pubitemid 44325930)
    • (2006) Nature Genetics , vol.38 , Issue.9 , pp. 1043-1048
    • Carter, S.L.1    Eklund, A.C.2    Kohane, I.S.3    Harris, L.N.4    Szallasi, Z.5
  • 27
    • 62449131093 scopus 로고    scopus 로고
    • Supervised risk predictor of breast cancer based on intrinsic subtypes
    • Parker JS, Mullins M, Cheang MC, et al: Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol 27:1160-1167, 2009
    • (2009) J Clin Oncol , vol.27 , pp. 1160-1167
    • Parker, J.S.1    Mullins, M.2    Cheang, M.C.3
  • 28
    • 58149330982 scopus 로고    scopus 로고
    • Meta-analysis of gene expression profiles in breast cancer: Toward a unified understanding of breast cancer subtyping and prognosis signatures
    • Wirapati P, Sotiriou C, Kunkel S, et al: Meta-analysis of gene expression profiles in breast cancer: Toward a unified understanding of breast cancer subtyping and prognosis signatures. Breast Cancer Res 10:R65, 2008
    • (2008) Breast Cancer Res , vol.10
    • Wirapati, P.1    Sotiriou, C.2    Kunkel, S.3
  • 30
    • 0030474271 scopus 로고    scopus 로고
    • A simulation study of the number of events per variable in logistic regression analysis
    • DOI 10.1016/S0895-4356(96)00236-3, PII S0895435696002363
    • Peduzzi P, Concato J, Kemper E, et al: A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 49:1373-1379, 1996 (Pubitemid 27028925)
    • (1996) Journal of Clinical Epidemiology , vol.49 , Issue.12 , pp. 1373-1379
    • Peduzzi, P.1    Concato, J.2    Kemper, E.3    Holford, T.R.4    Feinstem, A.R.5
  • 31
    • 79952709519 scopus 로고    scopus 로고
    • pROC: An open-source package for R and S+ to analyze and compare ROC curves
    • Robin X, Turck N, Hainard A, et al: pROC: An open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 12:77, 2011
    • (2011) BMC Bioinformatics , vol.12 , pp. 77
    • Robin, X.1    Turck, N.2    Hainard, A.3
  • 32
    • 38849091997 scopus 로고    scopus 로고
    • Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
    • DOI 10.1002/sim.2929
    • Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, et al: Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond. Stat Med 27:157-172, 2008 (Pubitemid 351193639)
    • (2008) Statistics in Medicine , vol.27 , Issue.2 , pp. 157-172
    • Pencina, M.J.1    D'Agostino Sr., R.B.2    D'Agostino Jr., R.B.3    Vasan, R.S.4
  • 33
    • 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 prognosis? Eur J Cancer 43:745-751, 2007 (Pubitemid 46502906)
    • (2007) European Journal of Cancer , vol.43 , Issue.4 , pp. 745-751
    • Dunkler, D.1    Michiels, S.2    Schemper, M.3
  • 34
    • 77950834681 scopus 로고    scopus 로고
    • Pooling biomarker data from different studies of disease risk, with a focus on endogenous hormones
    • Key TJ, Appleby PN, Allen NE, et al: Pooling biomarker data from different studies of disease risk, with a focus on endogenous hormones. Cancer Epidemiol Biomarkers Prev 19:960-965, 2010
    • (2010) Cancer Epidemiol Biomarkers Prev , vol.19 , pp. 960-965
    • Key, T.J.1    Appleby, P.N.2    Allen, N.E.3
  • 35
    • 18244389201 scopus 로고    scopus 로고
    • Standardizing global gene expression analysis between laboratories and across platforms
    • Bammler T, Beyer RP, Bhattacharya S, et al: Standardizing global gene expression analysis between laboratories and across platforms. Nat Methods 2:351-356, 2005
    • (2005) Nat Methods , vol.2 , pp. 351-356
    • Bammler, T.1    Beyer, R.P.2    Bhattacharya, S.3
  • 38
    • 55049129890 scopus 로고    scopus 로고
    • Technical variables in highthroughput miRNA expression profiling: Much work remains to be done
    • Nelson PT, Wang WX, Wilfred BR, et al: Technical variables in highthroughput miRNA expression profiling: Much work remains to be done. Biochim Biophys Acta 1779:758-765, 2008
    • (2008) Biochim Biophys Acta , vol.1779 , pp. 758-765
    • Nelson, P.T.1    Wang, W.X.2    Wilfred, B.R.3
  • 39
    • 0036709311 scopus 로고    scopus 로고
    • Methodological issues in pooled analysis of biomarker studies
    • DOI 10.1016/S1383-5742(02)00027-3, PII S1383574202000273
    • Taioli E, Bonassi S: Methodological issues in pooled analysis of biomarker studies. Mutation Research 512:85-92, 2002 (Pubitemid 35239958)
    • (2002) Mutation Research - Reviews in Mutation Research , vol.512 , Issue.1 , pp. 85-92
    • Taioli, E.1    Bonassi, S.2
  • 40
    • 77955131271 scopus 로고    scopus 로고
    • A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data
    • Luo J, Schumacher M, Scherer A, et al: A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data. Pharmacogenomics J 10:278-291, 2010
    • (2010) Pharmacogenomics J , vol.10 , pp. 278-291
    • Luo, J.1    Schumacher, M.2    Scherer, A.3
  • 41
    • 34347342575 scopus 로고    scopus 로고
    • QA/QC issues to aid regulatory acceptance of microarray gene expression data
    • DOI 10.1002/em.20293
    • Fuscoe JC, Tong W, Shi L: QA/QC issues to aid regulatory acceptance of microarray gene expression data. Environ Mol Mutagen 48:349-353, 2007 (Pubitemid 47011762)
    • (2007) Environmental and Molecular Mutagenesis , vol.48 , Issue.5 , pp. 349-353
    • Fuscoe, J.C.1    Tong, W.2    Shi, L.3
  • 42
    • 33748491517 scopus 로고    scopus 로고
    • The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
    • MAQC Consortium
    • MAQC Consortium, Shi L, Reid LH, et al: The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements. Nat Biotechnol 24:1151-1161, 2006
    • (2006) Nat Biotechnol , vol.24 , pp. 1151-1161
    • Shi, L.1    Reid, L.H.2
  • 43
    • 21144443942 scopus 로고    scopus 로고
    • Prediction of cancer outcome with microarrays
    • Biganzoli E, Lama N, Ambrogi F, et al: Prediction of cancer outcome with microarrays. Lancet 365:1683, 2005
    • (2005) Lancet , vol.365 , pp. 1683
    • Biganzoli, E.1    Lama, N.2    Ambrogi, F.3
  • 44
    • 81155150455 scopus 로고    scopus 로고
    • Histological assessment of PAXgene tissue fixation and stabilization reagents
    • Kap M, Smedts F, Oosterhuis W, et al: Histological assessment of PAXgene tissue fixation and stabilization reagents. PLoS One 6:e27704, 2011
    • (2011) PLoS One , vol.6
    • Kap, M.1    Smedts, F.2    Oosterhuis, W.3
  • 45
    • 84857642626 scopus 로고    scopus 로고
    • Implementation of a proficiency testing for the assessment of the preanalytical phase of blood samples used for RNA based analysis
    • Günther K, Malentacchi F, Verderio P, et al: Implementation of a proficiency testing for the assessment of the preanalytical phase of blood samples used for RNA based analysis. Clin Chim Acta 413:779-786, 2012
    • (2012) Clin Chim Acta , vol.413 , pp. 779-786
    • Günther, K.1    Malentacchi, F.2    Verderio, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.