Literature DB >> 21886510

US Insurance Program's Experience With a Multigene Assay for Early-Stage Breast Cancer.

John Hornberger1, Rebecca Chien, Katie Krebs, Louis Hochheiser.   

Abstract

PURPOSE: National guidelines recommend a 21-gene recurrence score (RS) to aid in adjuvant treatment decision in patients with estrogen receptor (ER) -positive, lymph node (LN) -negative early-stage breast cancer (ESBC). This study was performed to assess the economic implication of the assay in community practices from the perspective of a US payer.
METHODS: The study analyzed 952 women with ESBC enrolled with Humana (Louisville, KY) who were tested with the 21-gene RS between June 2006 and June 2010. The proportion of women classified by the assay according to RS risk category, use, and costs of chemotherapy regimens and supportive care, and costs of adverse events were obtained from Humana. We adopted a validated Markov model to compute the cost implications of RS for a representative patient. The probability of risk of recurrence, the chemotherapy benefit, and the decision impact of RS were derived from published studies.
RESULTS: Two hundred fifty-five patients within the tested population received adjuvant chemotherapy. Adjuvant chemotherapy was administered to 10% of women at low risk, 36% of women at intermediate risk, and 72% of women at high risk of recurrence. On the basis of a meta-analysis in the reduction of chemotherapy after RS, the model estimated an average test saving of $1,160 per patient. The immediate direct savings for chemotherapy drugs, supportive care, and management of adverse events were $1,885, $2,578, and $472, respectively. Prevention of recurrence through appropriate treatment of patients at high risk resulted in additional savings of $199.
CONCLUSION: The adoption of the 21-gene RS led to targeted management of women with ER-positive, LN-negative ESBC and consequently directed savings to the payer.

Entities:  

Year:  2011        PMID: 21886510      PMCID: PMC3092466          DOI: 10.1200/JOP.2011.000303

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.840


  25 in total

Review 1.  Review of guidelines for good practice in decision-analytic modelling in health technology assessment.

Authors:  Z Philips; L Ginnelly; M Sculpher; K Claxton; S Golder; R Riemsma; N Woolacoot; J Glanville
Journal:  Health Technol Assess       Date:  2004-09       Impact factor: 4.014

2.  Economic analysis of targeting chemotherapy using a 21-gene RT-PCR assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer.

Authors:  John Hornberger; Leon E Cosler; Gary H Lyman
Journal:  Am J Manag Care       Date:  2005-05       Impact factor: 2.229

3.  Does oncotype DX recurrence score affect the management of patients with early-stage breast cancer?

Authors:  Juhi Asad; Allyson F Jacobson; Alison Estabrook; Sharon Rosenbaum Smith; Susan K Boolbol; Sheldon M Feldman; Michael P Osborne; Kwadwo Boachie-Adjei; Wendy Twardzik; Paul I Tartter
Journal:  Am J Surg       Date:  2008-10       Impact factor: 2.565

Review 4.  Recommendations of the Panel on Cost-effectiveness in Health and Medicine.

Authors:  M C Weinstein; J E Siegel; M R Gold; M S Kamlet; L B Russell
Journal:  JAMA       Date:  1996-10-16       Impact factor: 56.272

5.  Phase III trial comparing two dose levels of epirubicin combined with cyclophosphamide with cyclophosphamide, methotrexate, and fluorouracil in node-positive breast cancer.

Authors:  M J Piccart; A Di Leo; M Beauduin; A Vindevoghel; J Michel; C Focan; A Tagnon; F Ries; P Gobert; C Finet; M T Closon-Dejardin; J P Dufrane; J Kerger; F Liebens; S Beauvois; S Bartholomeus; S Dolci; J P Lobelle; M Paesmans; J M Nogaret
Journal:  J Clin Oncol       Date:  2001-06-15       Impact factor: 44.544

Review 6.  Polychemotherapy for early breast cancer: an overview of the randomised clinical trials with quality-adjusted survival analysis.

Authors:  B F Cole; R D Gelber; S Gelber; A S Coates; A Goldhirsch
Journal:  Lancet       Date:  2001-07-28       Impact factor: 79.321

7.  Framing of outcome and probability of recurrence: breast cancer patients' choice of adjuvant chemotherapy (ACT) in hypothetical patient scenarios.

Authors:  C Zimmermann; C Baldo; A Molino
Journal:  Breast Cancer Res Treat       Date:  2000-03       Impact factor: 4.872

8.  Evaluation of trends in the cost of initial cancer treatment.

Authors:  Joan L Warren; K Robin Yabroff; Angela Meekins; Marie Topor; Elizabeth B Lamont; Martin L Brown
Journal:  J Natl Cancer Inst       Date:  2008-06-10       Impact factor: 13.506

9.  The influence of a gene expression profile on breast cancer decisions.

Authors:  Leonard R Henry; Alexander Stojadinovic; Sandra M Swain; Sheila Prindiville; Rose Cordes; Peter W Soballe
Journal:  J Surg Oncol       Date:  2009-05-01       Impact factor: 3.454

10.  Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection.

Authors:  Shelly S Lo; Patricia B Mumby; John Norton; Karen Rychlik; Jeffrey Smerage; Joseph Kash; Helen K Chew; Ellen R Gaynor; Daniel F Hayes; Andrew Epstein; Kathy S Albain
Journal:  J Clin Oncol       Date:  2010-01-11       Impact factor: 44.544

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  13 in total

1.  Cost-Effectiveness Analyses of the 21-Gene Assay in Breast Cancer: Systematic Review and Critical Appraisal.

Authors:  Shi-Yi Wang; Weixiong Dang; Ilana Richman; Sarah S Mougalian; Suzanne B Evans; Cary P Gross
Journal:  J Clin Oncol       Date:  2018-04-16       Impact factor: 44.544

2.  Demand for Precision Medicine: A Discrete-Choice Experiment and External Validation Study.

Authors:  Dean A Regier; David L Veenstra; Anirban Basu; Josh J Carlson
Journal:  Pharmacoeconomics       Date:  2020-01       Impact factor: 4.981

3.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

4.  Assessing cost-utility of predictive biomarkers in oncology: a streamlined approach.

Authors:  Anton Safonov; Shiyi Wang; Cary P Gross; Divyansh Agarwal; Giampaolo Bianchini; Lajos Pusztai; Christos Hatzis
Journal:  Breast Cancer Res Treat       Date:  2016-01-09       Impact factor: 4.872

5.  Breast cancer multigene testing trends and impact on chemotherapy use.

Authors:  G Thomas Ray; Jeanne Mandelblatt; Laurel A Habel; Scott Ramsey; Lawrence H Kushi; Yan Li; Tracy A Lieu
Journal:  Am J Manag Care       Date:  2016-05-01       Impact factor: 2.229

6.  21-Gene Recurrence Score Assay As a Predictor of Adjuvant Chemotherapy Administration for Early-Stage Breast Cancer: An Analysis of Use, Therapeutic Implications, and Disparity Profile.

Authors:  Jagar Jasem; Arya Amini; Rachel Rabinovitch; Virginia F Borges; Anthony Elias; Christine M Fisher; Peter Kabos
Journal:  J Clin Oncol       Date:  2016-03-21       Impact factor: 44.544

7.  Evaluating use characteristics for the oncotype dx 21-gene recurrence score and concordance with chemotherapy use in early-stage breast cancer.

Authors:  Clara Chen; Rahul Dhanda; Wan-Yu Tseng; Michael Forsyth; Debra A Patt
Journal:  J Oncol Pract       Date:  2013-02-12       Impact factor: 3.840

Review 8.  The impact of the Oncotype Dx breast cancer assay in clinical practice: a systematic review and meta-analysis.

Authors:  Josh J Carlson; Joshua A Roth
Journal:  Breast Cancer Res Treat       Date:  2013-08-24       Impact factor: 4.872

Review 9.  Clinical utility of gene-expression profiling in women with early breast cancer: an overview of systematic reviews.

Authors:  Michael Marrone; Alison Stewart; W David Dotson
Journal:  Genet Med       Date:  2014-12-04       Impact factor: 8.822

Review 10.  Predictive and prognostic value of the 21-gene recurrence score in hormone receptor-positive, node-positive breast cancer.

Authors:  Adam M Brufsky
Journal:  Am J Clin Oncol       Date:  2014-08       Impact factor: 2.339

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