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Published in: Virchows Archiv 3/2014

01-03-2014 | Invited Review

Molecular tests as prognostic factors in breast cancer

Author: Marc J. van de Vijver

Published in: Virchows Archiv | Issue 3/2014

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Abstract

In early breast cancer, prognostic tests are used to guide decisions on adjuvant systemic hormonal therapy, chemotherapy and targeted therapy treatment. This has led to large research efforts to identify novel prognostic markers in breast cancer. At present, the tissue factors used to guide treatment of breast cancer patients are tumor size, lymph node status, histologic grade, ER status, PR status, and HER2 status; in addition, multigene-expression-based prognostic tests are rapidly emerging. While identification of prognostic gene expression profiles has been successful, it has not been possible yet to identify robust clinically useful predictors of response to systemic treatment. As a result of rapid advances in technology and bioinformatics, it has become possible to analyze large series of breast carcinomas using high-throughput genetic techniques, including whole genome sequence analysis and gene expression profiling. These genomic studies will lead to the development of additional prognostic and predictive tissue-based tests. The most important aspects of the currently used tissue-based prognostic and predictive tests and the research in this area are reviewed.
Literature
1.
go back to reference Goldhirsch A, Wood WC, Coates AS et al (2011) Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol 22:1736–1747PubMedCentralPubMedCrossRef Goldhirsch A, Wood WC, Coates AS et al (2011) Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol 22:1736–1747PubMedCentralPubMedCrossRef
2.
go back to reference Wolff AC, Hammond ME, Hicks DG et al (2013) Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. J Clin Oncol 31:3997–4013PubMedCrossRef Wolff AC, Hammond ME, Hicks DG et al (2013) Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. J Clin Oncol 31:3997–4013PubMedCrossRef
3.
go back to reference Hammond ME, Hayes DF, Dowsett M et al (2010) American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol 28:2784–2795PubMedCentralPubMedCrossRef Hammond ME, Hayes DF, Dowsett M et al (2010) American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol 28:2784–2795PubMedCentralPubMedCrossRef
4.
go back to reference Elston CW, Ellis IO (1991) Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 19:403–410 Elston CW, Ellis IO (1991) Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 19:403–410
5.
go back to reference Lende TH, Janssen EA, Gudlaugsson E et al (2011) In patients younger than age 55 years with lymph node-negative breast cancer, proliferation by mitotic activity index is prognostically superior to adjuvant! J Clin Oncol 29:852–858PubMedCrossRef Lende TH, Janssen EA, Gudlaugsson E et al (2011) In patients younger than age 55 years with lymph node-negative breast cancer, proliferation by mitotic activity index is prognostically superior to adjuvant! J Clin Oncol 29:852–858PubMedCrossRef
6.
go back to reference Cuzick J, Dowsett M, Pineda S et al (2011) Prognostic value of a combined estrogen receptor, progesterone receptor, Ki-67, and human epidermal growth factor receptor 2 immunohistochemical score and comparison with the Genomic Health recurrence score in early breast cancer. J Clin Oncol 29:4273–4278PubMedCrossRef Cuzick J, Dowsett M, Pineda S et al (2011) Prognostic value of a combined estrogen receptor, progesterone receptor, Ki-67, and human epidermal growth factor receptor 2 immunohistochemical score and comparison with the Genomic Health recurrence score in early breast cancer. J Clin Oncol 29:4273–4278PubMedCrossRef
7.
go back to reference Curtis C, Shah SP, Chin SF et al (2012) The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature 486:346–352PubMedCentralPubMed Curtis C, Shah SP, Chin SF et al (2012) The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature 486:346–352PubMedCentralPubMed
8.
go back to reference Paik S, Shak S, Tang G et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351:2817–2826PubMedCrossRef Paik S, Shak S, Tang G et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351:2817–2826PubMedCrossRef
9.
go back to reference Simpson JF, Quan DE, O’Malley F et al (1997) Amplification of CCND1 and expression of its protein product, cyclin D1, in ductal carcinoma in situ of the breast. Am J Pathol 151:161–168PubMedCentralPubMed Simpson JF, Quan DE, O’Malley F et al (1997) Amplification of CCND1 and expression of its protein product, cyclin D1, in ductal carcinoma in situ of the breast. Am J Pathol 151:161–168PubMedCentralPubMed
10.
go back to reference Albain KS, Barlow WE, Shak S et al (2010) Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial. Lancet Oncol 11:55–65PubMedCentralPubMedCrossRef Albain KS, Barlow WE, Shak S et al (2010) Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial. Lancet Oncol 11:55–65PubMedCentralPubMedCrossRef
11.
go back to reference Dowsett M, Cuzick J, Wale C et al (2010) Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study. J Clin Oncol 28:1829–1834PubMedCrossRef Dowsett M, Cuzick J, Wale C et al (2010) Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study. J Clin Oncol 28:1829–1834PubMedCrossRef
12.
go back to reference van de Vijver MJ, He YD, van’t Veer LJ et al (2002) A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347:1999–2009PubMedCrossRef van de Vijver MJ, He YD, van’t Veer LJ et al (2002) A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347:1999–2009PubMedCrossRef
13.
go back to reference Mook S, Schmidt MK, Viale G et al (2009) The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1–3 positive lymph nodes in an independent validation study. Breast Cancer Res Treat 116:295–302PubMedCrossRef Mook S, Schmidt MK, Viale G et al (2009) The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1–3 positive lymph nodes in an independent validation study. Breast Cancer Res Treat 116:295–302PubMedCrossRef
14.
go back to reference Bueno-de-Mesquita JM, van Harten WH, Retel VP et al (2007) Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER). Lancet Oncol 8:1079–1087PubMedCrossRef Bueno-de-Mesquita JM, van Harten WH, Retel VP et al (2007) Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER). Lancet Oncol 8:1079–1087PubMedCrossRef
15.
go back to reference Drukker CA, Bueno-de-Mesquita JM, Retel VP et al (2013) A prospective evaluation of a breast cancer prognosis signature in the observational RASTER study. Int J Cancer 133:929–936PubMedCentralPubMedCrossRef Drukker CA, Bueno-de-Mesquita JM, Retel VP et al (2013) A prospective evaluation of a breast cancer prognosis signature in the observational RASTER study. Int J Cancer 133:929–936PubMedCentralPubMedCrossRef
16.
go back to reference Perou CM, Sorlie T, Eisen MB et al (2000) Molecular portraits of human breast tumours. Nature 406:747–752PubMedCrossRef Perou CM, Sorlie T, Eisen MB et al (2000) Molecular portraits of human breast tumours. Nature 406:747–752PubMedCrossRef
17.
go back to reference Sorlie T, Tibshirani R, Parker J et al (2003) Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci U S A 100:8418–8423PubMedCentralPubMedCrossRef Sorlie T, Tibshirani R, Parker J et al (2003) Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci U S A 100:8418–8423PubMedCentralPubMedCrossRef
18.
go back to reference Prat A, Parker JS, Karginova O et al (2010) Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer. Breast Cancer Res 12:R68PubMedCentralPubMedCrossRef Prat A, Parker JS, Karginova O et al (2010) Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer. Breast Cancer Res 12:R68PubMedCentralPubMedCrossRef
19.
go back to reference Weigelt B, Mackay A, A’Hern R et al (2010) Breast cancer molecular profiling with single sample predictors: a retrospective analysis. Lancet Oncol 11:339–349PubMedCrossRef Weigelt B, Mackay A, A’Hern R et al (2010) Breast cancer molecular profiling with single sample predictors: a retrospective analysis. Lancet Oncol 11:339–349PubMedCrossRef
20.
21.
go back to reference Dowsett M, Sestak I, Lopez-Knowles E et al (2013) Comparison of PAM50 risk of recurrence score with oncotype DX and IHC4 for predicting risk of distant recurrence after endocrine therapy. J Clin Oncol 31:2783–2790PubMedCrossRef Dowsett M, Sestak I, Lopez-Knowles E et al (2013) Comparison of PAM50 risk of recurrence score with oncotype DX and IHC4 for predicting risk of distant recurrence after endocrine therapy. J Clin Oncol 31:2783–2790PubMedCrossRef
22.
go back to reference Sotiriou C, Wirapati P, Loi S et al (2006) Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst 98:262–272PubMedCrossRef Sotiriou C, Wirapati P, Loi S et al (2006) Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst 98:262–272PubMedCrossRef
23.
go back to reference Toussaint J, Sieuwerts AM, Haibe-Kains B et al (2009) Improvement of the clinical applicability of the genomic grade index through a qRT-PCR test performed on frozen and formalin-fixed paraffin-embedded tissues. BMC Genomics 10:424PubMedCentralPubMedCrossRef Toussaint J, Sieuwerts AM, Haibe-Kains B et al (2009) Improvement of the clinical applicability of the genomic grade index through a qRT-PCR test performed on frozen and formalin-fixed paraffin-embedded tissues. BMC Genomics 10:424PubMedCentralPubMedCrossRef
24.
go back to reference Filipits M, Rudas M, Jakesz R et al (2011) A new molecular predictor of distant recurrence in ER-positive, HER2-negative breast cancer adds independent information to conventional clinical risk factors. Clin Cancer Res 17:6012–6020PubMedCrossRef Filipits M, Rudas M, Jakesz R et al (2011) A new molecular predictor of distant recurrence in ER-positive, HER2-negative breast cancer adds independent information to conventional clinical risk factors. Clin Cancer Res 17:6012–6020PubMedCrossRef
25.
go back to reference Dubsky P, Filipits M, Jakesz R et al (2013) EndoPredict improves the prognostic classification derived from common clinical guidelines in ER-positive, HER2-negative early breast cancer. Ann Oncol 24:640–647PubMedCentralPubMedCrossRef Dubsky P, Filipits M, Jakesz R et al (2013) EndoPredict improves the prognostic classification derived from common clinical guidelines in ER-positive, HER2-negative early breast cancer. Ann Oncol 24:640–647PubMedCentralPubMedCrossRef
27.
go back to reference Ma XJ, Wang Z, Ryan PD et al (2004) A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. Cancer Cell 5:607–616PubMedCrossRef Ma XJ, Wang Z, Ryan PD et al (2004) A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. Cancer Cell 5:607–616PubMedCrossRef
28.
go back to reference Jansen MP, Sieuwerts AM, Look MP et al (2007) HOXB13 to IL17BR expression ratio is related with tumor aggressiveness and response to tamoxifen of recurrent breast cancer: a retrospective study. J Clin Oncol 25:662–668PubMedCrossRef Jansen MP, Sieuwerts AM, Look MP et al (2007) HOXB13 to IL17BR expression ratio is related with tumor aggressiveness and response to tamoxifen of recurrent breast cancer: a retrospective study. J Clin Oncol 25:662–668PubMedCrossRef
29.
go back to reference Ma XJ, Salunga R, Dahiya S et al (2008) A five-gene molecular grade index and HOXB13:IL17BR are complementary prognostic factors in early stage breast cancer. Clin Cancer Res 14:2601–2608PubMedCrossRef Ma XJ, Salunga R, Dahiya S et al (2008) A five-gene molecular grade index and HOXB13:IL17BR are complementary prognostic factors in early stage breast cancer. Clin Cancer Res 14:2601–2608PubMedCrossRef
30.
go back to reference de Ronde JJ, Hannemann J, Halfwerk H et al (2010) Concordance of clinical and molecular breast cancer subtyping in the context of preoperative chemotherapy response. Breast Cancer Res Treat 119:119–126PubMedCrossRef de Ronde JJ, Hannemann J, Halfwerk H et al (2010) Concordance of clinical and molecular breast cancer subtyping in the context of preoperative chemotherapy response. Breast Cancer Res Treat 119:119–126PubMedCrossRef
31.
go back to reference Robinson DR, Wu YM, Vats P et al (2013) Activating ESR1 mutations in hormone-resistant metastatic breast cancer. Nat Genet. doi:10.1038/ng.2823 Robinson DR, Wu YM, Vats P et al (2013) Activating ESR1 mutations in hormone-resistant metastatic breast cancer. Nat Genet. doi:10.​1038/​ng.​2823
32.
go back to reference Toy W, Shen Y, Won H, Green B, Sakr RA, Will M, Li Z, Gala K, Fanning S, King TA, Hudis C, Chen D, Taran T, Hortobagyi G, Greene G, Berger M, Baselga J, Chandarlapaty S et al (2013) ESR1 ligand-binding domain mutations in hormone-resistant breast cancer. Nat Genet 45:1439–1445PubMedCrossRef Toy W, Shen Y, Won H, Green B, Sakr RA, Will M, Li Z, Gala K, Fanning S, King TA, Hudis C, Chen D, Taran T, Hortobagyi G, Greene G, Berger M, Baselga J, Chandarlapaty S et al (2013) ESR1 ligand-binding domain mutations in hormone-resistant breast cancer. Nat Genet 45:1439–1445PubMedCrossRef
33.
34.
go back to reference Dvinge H, Git A, Graf S et al (2013) The shaping and functional consequences of the microRNA landscape in breast cancer. Nature 497:378–382PubMedCrossRef Dvinge H, Git A, Graf S et al (2013) The shaping and functional consequences of the microRNA landscape in breast cancer. Nature 497:378–382PubMedCrossRef
35.
go back to reference Shah SP, Morin RD, Khattra J et al (2009) Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution. Nature 461:809–813PubMedCrossRef Shah SP, Morin RD, Khattra J et al (2009) Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution. Nature 461:809–813PubMedCrossRef
37.
go back to reference Hudson TJ, Anderson W, Artez A et al (2010) International network of cancer genome projects. Nature 464:993–998PubMedCrossRef Hudson TJ, Anderson W, Artez A et al (2010) International network of cancer genome projects. Nature 464:993–998PubMedCrossRef
38.
go back to reference Banerji S, Cibulskis K, Rangel-Escareno C et al (2012) Sequence analysis of mutations and translocations across breast cancer subtypes. Nature 486:405–409PubMedCrossRef Banerji S, Cibulskis K, Rangel-Escareno C et al (2012) Sequence analysis of mutations and translocations across breast cancer subtypes. Nature 486:405–409PubMedCrossRef
39.
go back to reference Ellis MJ, Ding L, Shen D et al (2012) Whole-genome analysis informs breast cancer response to aromatase inhibition. Nature 486:353–360PubMedCentralPubMed Ellis MJ, Ding L, Shen D et al (2012) Whole-genome analysis informs breast cancer response to aromatase inhibition. Nature 486:353–360PubMedCentralPubMed
40.
go back to reference Stephens PJ, Tarpey PS, Davies H et al (2012) The landscape of cancer genes and mutational processes in breast cancer. Nature 486:400–404PubMedCentralPubMed Stephens PJ, Tarpey PS, Davies H et al (2012) The landscape of cancer genes and mutational processes in breast cancer. Nature 486:400–404PubMedCentralPubMed
41.
go back to reference Shah SP, Roth A, Goya R et al (2012) The clonal and mutational evolution spectrum of primary triple-negative breast cancers. Nature 486:395–399PubMed Shah SP, Roth A, Goya R et al (2012) The clonal and mutational evolution spectrum of primary triple-negative breast cancers. Nature 486:395–399PubMed
44.
go back to reference Chang JC, Wooten EC, Tsimelzon A et al (2003) Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer. Lancet 362:362–369PubMedCrossRef Chang JC, Wooten EC, Tsimelzon A et al (2003) Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer. Lancet 362:362–369PubMedCrossRef
45.
go back to reference Ayers M, Symmans WF, Stec J et al (2004) Gene expression profiles predict complete pathologic response to neoadjuvant paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide chemotherapy in breast cancer. J Clin Oncol 22:2284–2293PubMedCrossRef Ayers M, Symmans WF, Stec J et al (2004) Gene expression profiles predict complete pathologic response to neoadjuvant paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide chemotherapy in breast cancer. J Clin Oncol 22:2284–2293PubMedCrossRef
46.
go back to reference Iwao-Koizumi K, Matoba R, Ueno N et al (2005) Prediction of docetaxel response in human breast cancer by gene expression profiling. J Clin Oncol 23:422–431PubMedCrossRef Iwao-Koizumi K, Matoba R, Ueno N et al (2005) Prediction of docetaxel response in human breast cancer by gene expression profiling. J Clin Oncol 23:422–431PubMedCrossRef
47.
go back to reference Hannemann J, Oosterkamp HM, Bosch CA et al (2005) Changes in gene expression associated with response to neoadjuvant chemotherapy in breast cancer. J Clin Oncol 23:3331–3342PubMedCrossRef Hannemann J, Oosterkamp HM, Bosch CA et al (2005) Changes in gene expression associated with response to neoadjuvant chemotherapy in breast cancer. J Clin Oncol 23:3331–3342PubMedCrossRef
48.
go back to reference Gianni L, Zambetti M, Clark K et al (2005) Gene expression profiles in paraffin-embedded core biopsy tissue predict response to chemotherapy in women with locally advanced breast cancer. J Clin Oncol 23:7265–7277PubMedCrossRef Gianni L, Zambetti M, Clark K et al (2005) Gene expression profiles in paraffin-embedded core biopsy tissue predict response to chemotherapy in women with locally advanced breast cancer. J Clin Oncol 23:7265–7277PubMedCrossRef
49.
go back to reference Hess KR, Anderson K, Symmans WF et al (2006) Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. J Clin Oncol 24:4236–4244PubMedCrossRef Hess KR, Anderson K, Symmans WF et al (2006) Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. J Clin Oncol 24:4236–4244PubMedCrossRef
50.
go back to reference Thuerigen O, Schneeweiss A, Toedt G et al (2006) Gene expression signature predicting pathologic complete response with gemcitabine, epirubicin, and docetaxel in primary breast cancer. J Clin Oncol 24:1839–1845PubMedCrossRef Thuerigen O, Schneeweiss A, Toedt G et al (2006) Gene expression signature predicting pathologic complete response with gemcitabine, epirubicin, and docetaxel in primary breast cancer. J Clin Oncol 24:1839–1845PubMedCrossRef
51.
go back to reference Cleator S, Tsimelzon A, Ashworth A et al (2006) Gene expression patterns for doxorubicin (Adriamycin) and cyclophosphamide (cytoxan) (AC) response and resistance. Breast Cancer Res Treat 95:229–233PubMedCrossRef Cleator S, Tsimelzon A, Ashworth A et al (2006) Gene expression patterns for doxorubicin (Adriamycin) and cyclophosphamide (cytoxan) (AC) response and resistance. Breast Cancer Res Treat 95:229–233PubMedCrossRef
52.
go back to reference Chang JC, Makris A, Gutierrez MC et al (2008) Gene expression patterns in formalin-fixed, paraffin-embedded core biopsies predict docetaxel chemosensitivity in breast cancer patients. Breast Cancer Res Treat 108:233–240PubMedCrossRef Chang JC, Makris A, Gutierrez MC et al (2008) Gene expression patterns in formalin-fixed, paraffin-embedded core biopsies predict docetaxel chemosensitivity in breast cancer patients. Breast Cancer Res Treat 108:233–240PubMedCrossRef
53.
go back to reference Farmer P, Bonnefoi H, Anderle P et al (2009) A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer. Nat Med 15:68–74PubMedCrossRef Farmer P, Bonnefoi H, Anderle P et al (2009) A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer. Nat Med 15:68–74PubMedCrossRef
54.
go back to reference Tabchy A, Valero V, Vidaurre T et al (2010) Evaluation of a 30-gene paclitaxel, fluorouracil, doxorubicin, and cyclophosphamide chemotherapy response predictor in a multicenter randomized trial in breast cancer. Clin Cancer Res 16:5351–5361PubMedCrossRef Tabchy A, Valero V, Vidaurre T et al (2010) Evaluation of a 30-gene paclitaxel, fluorouracil, doxorubicin, and cyclophosphamide chemotherapy response predictor in a multicenter randomized trial in breast cancer. Clin Cancer Res 16:5351–5361PubMedCrossRef
55.
go back to reference Lin Y, Lin S, Watson M et al (2010) A gene expression signature that predicts the therapeutic response of the basal-like breast cancer to neoadjuvant chemotherapy. Breast Cancer Res Treat 123:691–699PubMedCrossRef Lin Y, Lin S, Watson M et al (2010) A gene expression signature that predicts the therapeutic response of the basal-like breast cancer to neoadjuvant chemotherapy. Breast Cancer Res Treat 123:691–699PubMedCrossRef
56.
go back to reference Lee JK, Coutant C, Kim YC et al (2010) Prospective comparison of clinical and genomic multivariate predictors of response to neoadjuvant chemotherapy in breast cancer. Clin Cancer Res 16:711–718PubMedCentralPubMedCrossRef Lee JK, Coutant C, Kim YC et al (2010) Prospective comparison of clinical and genomic multivariate predictors of response to neoadjuvant chemotherapy in breast cancer. Clin Cancer Res 16:711–718PubMedCentralPubMedCrossRef
57.
go back to reference Bonnefoi H, Underhill C, Iggo R et al (2009) Predictive signatures for chemotherapy sensitivity in breast cancer: are they ready for use in the clinic? Eur J Cancer 45:1733–1743PubMedCrossRef Bonnefoi H, Underhill C, Iggo R et al (2009) Predictive signatures for chemotherapy sensitivity in breast cancer: are they ready for use in the clinic? Eur J Cancer 45:1733–1743PubMedCrossRef
58.
go back to reference Cancer Genome Atlas Network (2012) Comprehensive molecular portraits of human breast tumours. Nature 490:61–70CrossRef Cancer Genome Atlas Network (2012) Comprehensive molecular portraits of human breast tumours. Nature 490:61–70CrossRef
Metadata
Title
Molecular tests as prognostic factors in breast cancer
Author
Marc J. van de Vijver
Publication date
01-03-2014
Publisher
Springer Berlin Heidelberg
Published in
Virchows Archiv / Issue 3/2014
Print ISSN: 0945-6317
Electronic ISSN: 1432-2307
DOI
https://doi.org/10.1007/s00428-014-1539-0

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