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Published in: Breast Cancer Research and Treatment 3/2013

Open Access 01-06-2013 | Review

Multigene assays and molecular markers in breast cancer: systematic review of health economic analyses

Authors: Roman Rouzier, Paolo Pronzato, Elisabeth Chéreau, Josh Carlson, Barnaby Hunt, William J. Valentine

Published in: Breast Cancer Research and Treatment | Issue 3/2013

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Abstract

Breast cancer is the most common female cancer and is associated with a significant clinical and economic burden. Multigene assays and molecular markers represent an opportunity to direct chemotherapy only to patients likely to have significant benefit. This systematic review examines published health economic analyses to assess the support for adjuvant therapy decision making. Literature searches of PubMed, the Cochrane Library, and congress databases were carried out to identify economic evaluations of multigene assays and molecular markers published between 2002 and 2012. After screening and data extraction, study quality was assessed using the Quality of Health Economic Studies instrument. The review identified 29 publications that reported evaluations of two assays: Oncotype DX® and MammaPrint. Studies of both tests provided evidence that their routine use was cost saving or cost-effective versus conventional approaches. Benefits were driven by optimal allocation of adjuvant chemotherapy and reduction in chemotherapy utilization. Findings were sensitive to variation in the frequency of chemotherapy prescription, chemotherapy costs, and patients’ risk profiles. Evidence suggests that multigene assays are likely cost saving or cost-effective relative to current approaches to adjuvant therapy. They should benefit decision making in early-stage breast cancer in a variety of settings worldwide.
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Literature
2.
go back to reference Coleman MP, Quaresma M, Berrino F et al (2008) Cancer survival in five continents: a worldwide population-based study (CONCORD). Lancet Oncol 9(8):730–756PubMedCrossRef Coleman MP, Quaresma M, Berrino F et al (2008) Cancer survival in five continents: a worldwide population-based study (CONCORD). Lancet Oncol 9(8):730–756PubMedCrossRef
3.
go back to reference Peasgood T, Ward SE, Brazier J (2010) Health-state utility values in breast cancer. Expert Rev Pharmacoecon Outcomes Res 10(5):553–566PubMedCrossRef Peasgood T, Ward SE, Brazier J (2010) Health-state utility values in breast cancer. Expert Rev Pharmacoecon Outcomes Res 10(5):553–566PubMedCrossRef
4.
go back to reference Conner-Spady BL, Cumming C, Nabholtz JM, Jacobs P, Stewart D (2005) A longitudinal prospective study of health-related quality of life in breast cancer patients following high-dose chemotherapy with autologous blood stem cell transplantation. Bone Marrow Transpl 36(3):251–259CrossRef Conner-Spady BL, Cumming C, Nabholtz JM, Jacobs P, Stewart D (2005) A longitudinal prospective study of health-related quality of life in breast cancer patients following high-dose chemotherapy with autologous blood stem cell transplantation. Bone Marrow Transpl 36(3):251–259CrossRef
5.
go back to reference Barron JJ, Quimbo R, Nikam PT, Amonkar MM (2008) Assessing the economic burden of breast cancer in a US managed care population. Breast Cancer Res Treat 109(2):367–377PubMedCrossRef Barron JJ, Quimbo R, Nikam PT, Amonkar MM (2008) Assessing the economic burden of breast cancer in a US managed care population. Breast Cancer Res Treat 109(2):367–377PubMedCrossRef
6.
go back to reference Paik S, Shak S, Tang G et al (2004) A multi-gene 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 multi-gene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351:2817–2826PubMedCrossRef
7.
go back to reference van ‘t Veer LJ, Dai H, van de Vijver MJ et al (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415(6871):530–536PubMedCrossRef van ‘t Veer LJ, Dai H, van de Vijver MJ et al (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415(6871):530–536PubMedCrossRef
8.
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(4):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(4):262–272PubMedCrossRef
9.
go back to reference Paik S, Tang G, Shak S et al (2006) Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. J Clin Oncol 24:3726–3734PubMedCrossRef Paik S, Tang G, Shak S et al (2006) Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. J Clin Oncol 24:3726–3734PubMedCrossRef
10.
go back to reference Albain KS, Barlow WE, Ravdin PM et al (2009) Adjuvant chemotherapy and timing of tamoxifen in postmenopausal patients with endocrine-responsive, node-positive breast cancer: a phase 3, open-label, randomised controlled trial. Lancet 374(9707):2055–2063PubMedCrossRef Albain KS, Barlow WE, Ravdin PM et al (2009) Adjuvant chemotherapy and timing of tamoxifen in postmenopausal patients with endocrine-responsive, node-positive breast cancer: a phase 3, open-label, randomised controlled trial. Lancet 374(9707):2055–2063PubMedCrossRef
11.
go back to reference Dowsett M, Goldhirsch A, Hayes DF, Senn HJ, Wood W, Viale G (2007) International web-based consultation on priorities for translational breast cancer research. Breast Cancer Res 9(6):R81PubMedCrossRef Dowsett M, Goldhirsch A, Hayes DF, Senn HJ, Wood W, Viale G (2007) International web-based consultation on priorities for translational breast cancer research. Breast Cancer Res 9(6):R81PubMedCrossRef
12.
go back to reference Goldhirsch A, Ingle JN, Gelber RD, Coates AS, Thürlimann B, Senn HJ, Panel members (2009) Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2009. Ann Oncol 20(8):1319–1329PubMedCrossRef Goldhirsch A, Ingle JN, Gelber RD, Coates AS, Thürlimann B, Senn HJ, Panel members (2009) Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2009. Ann Oncol 20(8):1319–1329PubMedCrossRef
13.
go back to reference Harris L, Fritsche H, Mennel R et al (2007) American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. J Clin Oncol 25(33):5287–5312PubMedCrossRef Harris L, Fritsche H, Mennel R et al (2007) American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. J Clin Oncol 25(33):5287–5312PubMedCrossRef
16.
17.
go back to reference Ravdin PM, Siminoff LA, Davis GJ, Mercer MB, Hewlett J, Gerson N, Parker HL (2001) Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J Clin Oncol 19(4):980–991PubMed Ravdin PM, Siminoff LA, Davis GJ, Mercer MB, Hewlett J, Gerson N, Parker HL (2001) Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J Clin Oncol 19(4):980–991PubMed
18.
go back to reference Ofman JJ, Sullivan SD, Neumann PJ et al (2003) Examining the value and quality of health economic analyses: implications of utilizing the QHES. J Manag Care Pharm 9(1):53–61PubMed Ofman JJ, Sullivan SD, Neumann PJ et al (2003) Examining the value and quality of health economic analyses: implications of utilizing the QHES. J Manag Care Pharm 9(1):53–61PubMed
19.
go back to reference Chiou CF, Hay JW, Wallace JF, Bloom BS, Neumann PJ, Sullivan SD et al (2003) Development and validation of a grading system for the quality of cost-effectiveness studies. Med Care 41(1):32–44PubMedCrossRef Chiou CF, Hay JW, Wallace JF, Bloom BS, Neumann PJ, Sullivan SD et al (2003) Development and validation of a grading system for the quality of cost-effectiveness studies. Med Care 41(1):32–44PubMedCrossRef
20.
go back to reference Marino P, Siani C, Bertucci F et al (2011) Economic issues involved in integrating genomic testing into clinical care: the case of genomic testing to guide decision-making about chemotherapy for breast cancer patients. Breast Cancer Res Treat 129:401–409CrossRef Marino P, Siani C, Bertucci F et al (2011) Economic issues involved in integrating genomic testing into clinical care: the case of genomic testing to guide decision-making about chemotherapy for breast cancer patients. Breast Cancer Res Treat 129:401–409CrossRef
21.
go back to reference Hornberger J, Cosler LE, Lyman GH (2005) Economic analysis of targeting chemotherapy using a 21-gene RT-PCR assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer. Am J Manag Care 11(5):313–324PubMed Hornberger J, Cosler LE, Lyman GH (2005) Economic analysis of targeting chemotherapy using a 21-gene RT-PCR assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer. Am J Manag Care 11(5):313–324PubMed
22.
go back to reference Lyman GH, Cosler LE, Kuderer NM, Hornberger J (2007) Impact of a 21-gene RT-PCR assay on treatment decisions in early-stage breast cancer: an economic analysis based on prognostic and predictive validation studies. Cancer 109(6):1011–1018PubMedCrossRef Lyman GH, Cosler LE, Kuderer NM, Hornberger J (2007) Impact of a 21-gene RT-PCR assay on treatment decisions in early-stage breast cancer: an economic analysis based on prognostic and predictive validation studies. Cancer 109(6):1011–1018PubMedCrossRef
23.
go back to reference Kondo M, Hoshi SL, Ishiguro H, Yoshibayashi H, Toi M (2008) Economic evaluation of 21-gene reverse transcriptase-polymerase chain reaction assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer in Japan. Breast Cancer Res Treat 112:175–187PubMedCrossRef Kondo M, Hoshi SL, Ishiguro H, Yoshibayashi H, Toi M (2008) Economic evaluation of 21-gene reverse transcriptase-polymerase chain reaction assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer in Japan. Breast Cancer Res Treat 112:175–187PubMedCrossRef
24.
go back to reference Cosler LE, Lyman GH (2009) Economic analysis of gene expression profile data to guide adjuvant treatment in women with early-stage breast cancer. Cancer Investig 27(10):953–959CrossRef Cosler LE, Lyman GH (2009) Economic analysis of gene expression profile data to guide adjuvant treatment in women with early-stage breast cancer. Cancer Investig 27(10):953–959CrossRef
25.
go back to reference de Lima Lopes G, Chien R, Hornberger J. Cost-benefit analysis of a 21-gene recurrence score for early-stage breast cancer in Singapore. Presented at ISPOR 4th Asia-Pacific Conference, Phuket, September 2010 de Lima Lopes G, Chien R, Hornberger J. Cost-benefit analysis of a 21-gene recurrence score for early-stage breast cancer in Singapore. Presented at ISPOR 4th Asia-Pacific Conference, Phuket, September 2010
26.
go back to reference Klang SH, Hammerman A, Liebermann N, Efrat N, Doberne J, Hornberger J (2010) Economic implications of 21-gene breast cancer risk assay from the perspective of an Israeli-managed health-care organization. Value Health 13(4):381–387PubMedCrossRef Klang SH, Hammerman A, Liebermann N, Efrat N, Doberne J, Hornberger J (2010) Economic implications of 21-gene breast cancer risk assay from the perspective of an Israeli-managed health-care organization. Value Health 13(4):381–387PubMedCrossRef
27.
go back to reference O’Leary B, Yoshizawa C, Foteff C, Chao C. Cost-effectiveness of the Oncotype DX assay in Australia: An exploratory analysis. Presented at ISPOR 4th Asia-Pacific Conference, Phuket, September 2010 O’Leary B, Yoshizawa C, Foteff C, Chao C. Cost-effectiveness of the Oncotype DX assay in Australia: An exploratory analysis. Presented at ISPOR 4th Asia-Pacific Conference, Phuket, September 2010
28.
go back to reference Tsoi DT, Inoue M, Kelly CM, Verma S, Pritchard KI (2010) Cost-effectiveness analysis of recurrence score-guided treatment using a 21-gene assay in early breast cancer. Oncologist 15(5):457–465PubMedCrossRef Tsoi DT, Inoue M, Kelly CM, Verma S, Pritchard KI (2010) Cost-effectiveness analysis of recurrence score-guided treatment using a 21-gene assay in early breast cancer. Oncologist 15(5):457–465PubMedCrossRef
29.
go back to reference de Lima Lopes G, Chien R, Hornberger JC (2011) Cost-benefit analysis of a 21-gene recurrence score for early-stage breast cancer in Singapore. Presented at 12th St. Gallen International Breast Cancer Conference, St Gallen, 16–19 March 2011 de Lima Lopes G, Chien R, Hornberger JC (2011) Cost-benefit analysis of a 21-gene recurrence score for early-stage breast cancer in Singapore. Presented at 12th St. Gallen International Breast Cancer Conference, St Gallen, 16–19 March 2011
30.
go back to reference Hall PS, McCabe C, Stein RC, Cameron D (2012) Economic evaluation of genomic test-directed chemotherapy for early-stage lymph node-positive breast cancer. J Natl Cancer Inst 104(1):56–66PubMedCrossRef Hall PS, McCabe C, Stein RC, Cameron D (2012) Economic evaluation of genomic test-directed chemotherapy for early-stage lymph node-positive breast cancer. J Natl Cancer Inst 104(1):56–66PubMedCrossRef
31.
go back to reference Holt SDH, Bennet H, Bertellli G, Valentine WJ, Phillips CJ (2011) Cost-effectiveness evaluation of the Oncotype DX® breast cancer assay in clinical practice in the UK. Poster presented at the 34th Annual San Antonio Breast Cancer Symposium, 6–10 December 2011 Holt SDH, Bennet H, Bertellli G, Valentine WJ, Phillips CJ (2011) Cost-effectiveness evaluation of the Oncotype DX® breast cancer assay in clinical practice in the UK. Poster presented at the 34th Annual San Antonio Breast Cancer Symposium, 6–10 December 2011
32.
go back to reference Hornberger J, Chien R, Krebs K, Hochheiser L (2011) US Insurance Program’s Experience With a multigene assay for early-stage breast cancer. Am J Manag Care 17(5(Spec No)):e194–e202PubMed Hornberger J, Chien R, Krebs K, Hochheiser L (2011) US Insurance Program’s Experience With a multigene assay for early-stage breast cancer. Am J Manag Care 17(5(Spec No)):e194–e202PubMed
33.
go back to reference Kondo M, Hoshi SL, Yamanaka T, Ishiguro H, Toi M (2011) Economic evaluation of the 21-gene signature (Oncotype DX) in lymph node-negative/positive, hormone receptor-positive early-stage breast cancer based on Japanese validation study (JBCRG-TR03). Breast Cancer Res Treat 127(3):739–749PubMedCrossRef Kondo M, Hoshi SL, Yamanaka T, Ishiguro H, Toi M (2011) Economic evaluation of the 21-gene signature (Oncotype DX) in lymph node-negative/positive, hormone receptor-positive early-stage breast cancer based on Japanese validation study (JBCRG-TR03). Breast Cancer Res Treat 127(3):739–749PubMedCrossRef
34.
go back to reference Lacey L, Chien R, Hornberger J (2011) Cost-utility of the 21-gene breast cancer assay (Oncotype DX®) in the Irish healthcare setting. Poster presented at the 34th Annual San Antonio Breast Cancer Symposium, 6–10 December 2011 Lacey L, Chien R, Hornberger J (2011) Cost-utility of the 21-gene breast cancer assay (Oncotype DX®) in the Irish healthcare setting. Poster presented at the 34th Annual San Antonio Breast Cancer Symposium, 6–10 December 2011
35.
go back to reference Paulden M, Franek J, Pham B, Krahn M (2011) Gene expression profiling for guiding adjuvant chemotherapy decisions in women with early breast cancer: a cost-effectiveness analysis of 1000 strategies for the provision of Adjuvant! Online, Oncotype DX and chemotherapy. Presented at ISPOR 16th Annual international Meeting, Baltimore, 21–25 May 2011 Paulden M, Franek J, Pham B, Krahn M (2011) Gene expression profiling for guiding adjuvant chemotherapy decisions in women with early breast cancer: a cost-effectiveness analysis of 1000 strategies for the provision of Adjuvant! Online, Oncotype DX and chemotherapy. Presented at ISPOR 16th Annual international Meeting, Baltimore, 21–25 May 2011
36.
go back to reference Vanderlaan BF, Broder MS, Chang EY, Oratz R, Bentley TG (2011) Cost-effectiveness of 21-gene assay in node-positive, early-stage breast cancer. Am J Manag Care 17(7):455–464PubMed Vanderlaan BF, Broder MS, Chang EY, Oratz R, Bentley TG (2011) Cost-effectiveness of 21-gene assay in node-positive, early-stage breast cancer. Am J Manag Care 17(7):455–464PubMed
37.
go back to reference Lamond NW, Skedgel C, Rayson D, Lethbridge L, Younis T (2012) Cost-utility of the 21-gene recurrence score assay in node-negative and node-positive breast cancer. Breast Cancer Res Treat 133(3):1115–1123PubMedCrossRef Lamond NW, Skedgel C, Rayson D, Lethbridge L, Younis T (2012) Cost-utility of the 21-gene recurrence score assay in node-negative and node-positive breast cancer. Breast Cancer Res Treat 133(3):1115–1123PubMedCrossRef
38.
go back to reference Madaras B, Rózsa P, Gerencsér Z et al (2012) The impact of chemotherapeutic regimens on the cost-utility analysis of Oncotype DX Assay. Presented at EBCC 8, Vienna, 21–24 March 2012 Madaras B, Rózsa P, Gerencsér Z et al (2012) The impact of chemotherapeutic regimens on the cost-utility analysis of Oncotype DX Assay. Presented at EBCC 8, Vienna, 21–24 March 2012
39.
go back to reference Wilson E, McDonnell D, Gullo G et al (2012) Economic Impact of Oncotype DX assay in axillary node negative breast cancer, (AXN-BC) with positive hormone receptor (REC+) and normal HER-2 (HER2−). Presented at ESMO 2010, Milan, 8–12 October 2012 Wilson E, McDonnell D, Gullo G et al (2012) Economic Impact of Oncotype DX assay in axillary node negative breast cancer, (AXN-BC) with positive hormone receptor (REC+) and normal HER-2 (HER2−). Presented at ESMO 2010, Milan, 8–12 October 2012
40.
go back to reference Hassan S, Mittmann N (2011) A cost benefit analysis of the 21-gene breast cancer assay within a Canadian healthcare system. Presented at 2011 ASCO Annual Meeting, Chicago, 3–7 June 2011 Hassan S, Mittmann N (2011) A cost benefit analysis of the 21-gene breast cancer assay within a Canadian healthcare system. Presented at 2011 ASCO Annual Meeting, Chicago, 3–7 June 2011
41.
go back to reference Lacey L, Hornberger J (2011) Economic evaluation of Onctoype DX to target chemotherapy use in lymph-node-negative, oestrogen-receptor-positive, early-stage breast cancer. ISPOR 13th Annual European conference, Prague, 6–9 November 2011 Lacey L, Hornberger J (2011) Economic evaluation of Onctoype DX to target chemotherapy use in lymph-node-negative, oestrogen-receptor-positive, early-stage breast cancer. ISPOR 13th Annual European conference, Prague, 6–9 November 2011
42.
go back to reference Ragaz J, Wilson KS, Wong H, Muraca G, Hryniuk W, Bajdik C (2011) Molecular classification with 21 Gene Assay (Oncotype DX®) Shows in 196,967 ER positive patients high frequency of low recurrence. Presented at Poster presented at the 34th Annual San Antonio Breast Cancer Symposium, 6–10 December 2011 Ragaz J, Wilson KS, Wong H, Muraca G, Hryniuk W, Bajdik C (2011) Molecular classification with 21 Gene Assay (Oncotype DX®) Shows in 196,967 ER positive patients high frequency of low recurrence. Presented at Poster presented at the 34th Annual San Antonio Breast Cancer Symposium, 6–10 December 2011
43.
go back to reference Oestreicher N, Ramsey SD, Linden HM et al (2005) Gene expression profiling and breast cancer care: what are the potential benefits and policy implications? Genet Med 7(6):380–389PubMedCrossRef Oestreicher N, Ramsey SD, Linden HM et al (2005) Gene expression profiling and breast cancer care: what are the potential benefits and policy implications? Genet Med 7(6):380–389PubMedCrossRef
44.
go back to reference Chen E, Tong KB, Malin JL (2010) Cost-effectiveness of 70-gene MammaPrint signature in node-negative breast cancer. Am J Manag Care 16(12):e333–e342PubMed Chen E, Tong KB, Malin JL (2010) Cost-effectiveness of 70-gene MammaPrint signature in node-negative breast cancer. Am J Manag Care 16(12):e333–e342PubMed
45.
go back to reference Retèl VP, Joore MA, Knauer M, Linn SC, Hauptmann M, Harten WH (2010) Cost-effectiveness of the 70-gene signature versus St. Gallen guidelines and Adjuvant Online for early breast cancer. Eur J Cancer 46(8):1382–1391PubMedCrossRef Retèl VP, Joore MA, Knauer M, Linn SC, Hauptmann M, Harten WH (2010) Cost-effectiveness of the 70-gene signature versus St. Gallen guidelines and Adjuvant Online for early breast cancer. Eur J Cancer 46(8):1382–1391PubMedCrossRef
46.
go back to reference Kondo M, Hoshi SL, Ishiguro H, Toi M (2012) Economic evaluation of the 70-gene prognosis-signature (MammaPrint®) in hormone receptor-positive, lymph node-negative, human epidermal growth factor receptor type 2-negative early stage breast cancer in Japan. Breast Cancer Res Treat 133(2):759–768PubMedCrossRef Kondo M, Hoshi SL, Ishiguro H, Toi M (2012) Economic evaluation of the 70-gene prognosis-signature (MammaPrint®) in hormone receptor-positive, lymph node-negative, human epidermal growth factor receptor type 2-negative early stage breast cancer in Japan. Breast Cancer Res Treat 133(2):759–768PubMedCrossRef
47.
go back to reference Zarca D, Stork-Sloots L, de Snoo F, Brink G, Dervaux Y, Boubli L (2009) French cost effectiveness study of the MammaPrint 70-gene signature in early-stage breast cancer patients. Presented at ECCO15, Berlin, Germany, 20–24 September 2009 Zarca D, Stork-Sloots L, de Snoo F, Brink G, Dervaux Y, Boubli L (2009) French cost effectiveness study of the MammaPrint 70-gene signature in early-stage breast cancer patients. Presented at ECCO15, Berlin, Germany, 20–24 September 2009
48.
go back to reference Retèl VP, Joore MA, van Harten WH (2012) Head-to-head comparison of the 70-gene signature versus the 21-gene assay: cost-effectiveness and the effect of compliance. Breast Cancer Res Treat 131(2):627–636PubMedCrossRef Retèl VP, Joore MA, van Harten WH (2012) Head-to-head comparison of the 70-gene signature versus the 21-gene assay: cost-effectiveness and the effect of compliance. Breast Cancer Res Treat 131(2):627–636PubMedCrossRef
49.
go back to reference Yang M, Rajan S, Issa AM (2012) Cost-effectiveness of gene expression profiling for early stage breast cancer: a decision-analytic model. Cancer 118(20):5163–5170PubMedCrossRef Yang M, Rajan S, Issa AM (2012) Cost-effectiveness of gene expression profiling for early stage breast cancer: a decision-analytic model. Cancer 118(20):5163–5170PubMedCrossRef
50.
go back to reference Buyse M, Loi S (2006) van’t Veer L, et al; TRANSBIG Consortium. Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst 98(17):1183–1192PubMedCrossRef Buyse M, Loi S (2006) van’t Veer L, et al; TRANSBIG Consortium. Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst 98(17):1183–1192PubMedCrossRef
51.
go back to reference Reed SD, Lyman GH (2012) Cost effectiveness of gene expression profiling for early stage breast cancer: a decision-analytic model. Cancer 118(24):6298–6299PubMedCrossRef Reed SD, Lyman GH (2012) Cost effectiveness of gene expression profiling for early stage breast cancer: a decision-analytic model. Cancer 118(24):6298–6299PubMedCrossRef
52.
go back to reference Thomassen M, Tan Q, Eiriksdottir F, Bak M, Cold S, Kruse TA (2007) Comparison of gene sets for expression profiling: prediction of metastasis from low-malignant breast cancer. Clin Cancer Res 13:5355–5360PubMedCrossRef Thomassen M, Tan Q, Eiriksdottir F, Bak M, Cold S, Kruse TA (2007) Comparison of gene sets for expression profiling: prediction of metastasis from low-malignant breast cancer. Clin Cancer Res 13:5355–5360PubMedCrossRef
53.
go back to reference Fan C, Oh DS, Wessels L, Weigelt B, Nuyten DS, Nobel AB, van’t Veer LJ, Perou CM (2006) Concordance among gene-expression-based predictors for breast cancer. N Engl J Med 355(6):560–569PubMedCrossRef Fan C, Oh DS, Wessels L, Weigelt B, Nuyten DS, Nobel AB, van’t Veer LJ, Perou CM (2006) Concordance among gene-expression-based predictors for breast cancer. N Engl J Med 355(6):560–569PubMedCrossRef
54.
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
55.
go back to reference Goldstein LJ, Gray R, Badve S et al (2008) Prognostic utility of the 21-gene assay in hormone receptor-positive operable breast cancer compared with classical clinicopathologic features. J Clin Oncol 26:4063–4071PubMedCrossRef Goldstein LJ, Gray R, Badve S et al (2008) Prognostic utility of the 21-gene assay in hormone receptor-positive operable breast cancer compared with classical clinicopathologic features. J Clin Oncol 26:4063–4071PubMedCrossRef
Metadata
Title
Multigene assays and molecular markers in breast cancer: systematic review of health economic analyses
Authors
Roman Rouzier
Paolo Pronzato
Elisabeth Chéreau
Josh Carlson
Barnaby Hunt
William J. Valentine
Publication date
01-06-2013
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 3/2013
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-013-2559-1

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