Literature DB >> 31130722

Cost-effectiveness analysis of multigene expression profiling assays to guide adjuvant therapy decisions in women with invasive early-stage breast cancer.

Malek B Hannouf1, Gregory S Zaric2,3, Phillip Blanchette4, Christine Brezden-Masley5,6, Mike Paulden7, Christopher McCabe8,9, Jacques Raphael4, Muriel Brackstone10,11.   

Abstract

Gene expression profiling (GEP) testing using 12-gene recurrence score (RS) assay (EndoPredict®), 58-gene RS assay (Prosigna®), and 21-gene RS assay (Oncotype DX®) is available to aid in chemotherapy decision-making when traditional clinicopathological predictors are insufficient to accurately determine recurrence risk in women with axillary lymph node-negative, hormone receptor-positive, and human epidermal growth factor-receptor 2-negative early-stage breast cancer. We examined the cost-effectiveness of incorporating these assays into standard practice. A decision model was built to project lifetime clinical and economic consequences of different adjuvant treatment-guiding strategies. The model was parameterized using follow-up data from a secondary analysis of the Anastrozole or Tamoxifen Alone or Combined randomized trial, cost data (2017 Canadian dollars) from the London Regional Cancer Program (Canada) and secondary Canadian sources. The 12-gene, 58-gene, and 21-gene RS assays were associated with cost-effectiveness ratios of $36,274, $48,525, and $74,911/quality-adjusted life year (QALY) gained and resulted in total gains of 379, 284.3, and 189.5 QALYs/year and total budgets of $12.9, $14.2, and $16.6 million/year, respectively. The total expected-value of perfect information about GEP assays' utility was $10.4 million/year. GEP testing using any of these assays is likely clinically and economically attractive. The 12-gene and 58-gene RS assays may improve the cost-effectiveness of GEP testing and offer higher value for money, although prospective evidence is still needed. Comparative field evaluations of GEP assays in real-world practice are associated with a large societal benefit and warranted to determine the optimal and most cost-effective assay for routine use.

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Year:  2019        PMID: 31130722     DOI: 10.1038/s41397-019-0089-x

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  46 in total

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Journal:  Oncologist       Date:  2007-03

2.  Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.

Authors:  Soonmyung Paik; Gong Tang; Steven Shak; Chungyeul Kim; Joffre Baker; Wanseop Kim; Maureen Cronin; Frederick L Baehner; Drew Watson; John Bryant; Joseph P Costantino; Charles E Geyer; D Lawrence Wickerham; Norman Wolmark
Journal:  J Clin Oncol       Date:  2006-05-23       Impact factor: 44.544

3.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

4.  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.

Authors:  Kathy S Albain; William E Barlow; Steven Shak; Gabriel N Hortobagyi; Robert B Livingston; I-Tien Yeh; Peter Ravdin; Roberto Bugarini; Frederick L Baehner; Nancy E Davidson; George W Sledge; Eric P Winer; Clifford Hudis; James N Ingle; Edith A Perez; Kathleen I Pritchard; Lois Shepherd; Julie R Gralow; Carl Yoshizawa; D Craig Allred; C Kent Osborne; Daniel F Hayes
Journal:  Lancet Oncol       Date:  2009-12-10       Impact factor: 41.316

5.  Trends in breast cancer by race and ethnicity.

Authors:  Asma Ghafoor; Ahmedin Jemal; Elizabeth Ward; Vilma Cokkinides; Robert Smith; Michael Thun
Journal:  CA Cancer J Clin       Date:  2003 Nov-Dec       Impact factor: 508.702

6.  Association between the 21-gene recurrence score assay and risk of locoregional recurrence in node-negative, estrogen receptor-positive breast cancer: results from NSABP B-14 and NSABP B-20.

Authors:  Eleftherios P Mamounas; Gong Tang; Bernard Fisher; Soonmyung Paik; Steven Shak; Joseph P Costantino; Drew Watson; Charles E Geyer; D Lawrence Wickerham; Norman Wolmark
Journal:  J Clin Oncol       Date:  2010-01-11       Impact factor: 44.544

7.  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.

Authors:  Mitch Dowsett; Jack Cuzick; Christopher Wale; John Forbes; Elizabeth A Mallon; Janine Salter; Emma Quinn; Anita Dunbier; Michael Baum; Aman Buzdar; Anthony Howell; Roberto Bugarini; Frederick L Baehner; Steven Shak
Journal:  J Clin Oncol       Date:  2010-03-08       Impact factor: 44.544

8.  Developing a new generation of breast cancer clinical gene expression tests.

Authors:  Zuzana Kos; Torsten O Nielsen
Journal:  Breast Cancer Res       Date:  2014-07-07       Impact factor: 6.466

Review 9.  Multigene prognostic tests in breast cancer: past, present, future.

Authors:  Balázs Győrffy; Christos Hatzis; Tara Sanft; Erin Hofstatter; Bilge Aktas; Lajos Pusztai
Journal:  Breast Cancer Res       Date:  2015-01-27       Impact factor: 6.466

10.  Factors predicting late recurrence for estrogen receptor-positive breast cancer.

Authors:  Ivana Sestak; Mitch Dowsett; Lila Zabaglo; Elena Lopez-Knowles; Sean Ferree; J Wayne Cowens; Jack Cuzick
Journal:  J Natl Cancer Inst       Date:  2013-09-12       Impact factor: 13.506

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  7 in total

Review 1.  Systematic Review of the Cost Effectiveness of Breast Cancer Prevention, Screening, and Treatment Interventions.

Authors:  Jinani Jayasekera; Jeanne S Mandelblatt
Journal:  J Clin Oncol       Date:  2019-12-05       Impact factor: 44.544

2.  Analysis of extracellular vesicle mRNA derived from plasma using the nCounter platform.

Authors:  Jillian W P Bracht; Ana Gimenez-Capitan; Chung-Ying Huang; Nicolas Potie; Carlos Pedraz-Valdunciel; Sarah Warren; Rafael Rosell; Miguel A Molina-Vila
Journal:  Sci Rep       Date:  2021-02-12       Impact factor: 4.379

3.  The beneficial role of Asian-based RecurIndex test in the prognostic prediction in Chinese male breast cancer patients.

Authors:  Shuo Zhang; Beichen Liu; Mengli Zhou; Jintian Wang; Jinzhao Liu; Li Wang; Chao Yang; Yueping Liu; Shuyao Niu; Furong Du; Xiaohua Du; Ning Wang; Jiyu Tang; Chao Song; Yunjiang Liu
Journal:  Sci Rep       Date:  2021-04-07       Impact factor: 4.379

Review 4.  Circulating Biomarkers for Early Stage Non-Small Cell Lung Carcinoma Detection: Supplementation to Low-Dose Computed Tomography.

Authors:  Chin Fung Kelvin Kan; Graham D Unis; Luke Z Li; Susan Gunn; Li Li; H Peter Soyer; Mitchell S Stark
Journal:  Front Oncol       Date:  2021-04-21       Impact factor: 6.244

5.  Concordance between Ki-67 index in invasive breast cancer and molecular signatures: EndoPredict and MammaPrint.

Authors:  Jesús Eduardo Amezcua-Gálvez; Carlos A Lopez-Garcia; Cynthia Villarreal-Garza; Victor Lopez-Rivera; Mauricio Canavati-Marcos; Sandra Santuario-Facio; Antonio Dono; Paloma Del C Monroig-Bosque; Rocío Ortiz-López; Andrea Leal-Lopez; Gabriela Sofía Gómez-Macías
Journal:  Mol Clin Oncol       Date:  2022-07-01

6.  Cost-Effectiveness Analysis of the Oncotype DX Breast Recurrence Score® Test in Node-Negative Early Breast Cancer.

Authors:  Vladislav Berdunov; Steve Millen; Andrew Paramore; Jane Griffin; Sarah Reynia; Nina Fryer; Rebecca Brown; Louise Longworth
Journal:  Clinicoecon Outcomes Res       Date:  2022-09-19

7.  Gene Expression Profiling Tests for Early-Stage Invasive Breast Cancer: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-03-06
  7 in total

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