Literature DB >> 32795875

Cost-effectiveness analysis of the 70-gene signature compared with clinical assessment in breast cancer based on a randomised controlled trial.

Valesca P Retèl1, Danalyn Byng2, Sabine C Linn3, Katarzyna Jóźwiak4, Hendrik Koffijberg5, Emiel J Rutgers6, Fatima Cardoso7, Martine J Piccart8, Coralie Poncet9, Laura J Van't Veer10, Wim H van Harten2.   

Abstract

BACKGROUND: The clinical utility of the 70-gene signature (MammaPrint®) to guide chemotherapy use in T1-3N0-1M0 breast cancer was demonstrated in the Microarray in Node-Negative and 1 to 3 Positive Lymph Node Disease May Avoid Chemotherapy (MINDACT) study. One thousand four ninety seven of 3356 (46.2%) enrolled patients with high clinical risk (in accordance with the modified Adjuvant! Online clinical-pathological assessment) had a low-risk 70-gene signature. Using patient-level data from the MINDACT trial, the cost-effectiveness of using the 70-gene signature to guide adjuvant chemotherapy selection for clinical high risk, estrogen receptor positive (ER+), human epidermal growth factor 2 negative (HER2-) patients was analysed. PATIENTS AND METHODS: A hybrid decision tree-Markov model simulated treatment strategies in accordance with the 70-gene signature with clinical assessment versus clinical assessment alone, over a 10-year time horizon. Primary outcomes were quality-adjusted life years (QALYs), country-specific costs and incremental cost-effectiveness ratios (ICERs) for six countries: Belgium, France, Germany, Netherlands, UK and the US.
RESULTS: Treatment strategies guided by the 70-gene signature result in more QALYs compared with clinical assessment alone. Costs of the 70-gene signature strategy were lower in five of six countries. This led to dominance of the 70-gene signature in Belgium, France, Germany, Netherlands and the US and to a cost-effective situation in the UK (ICER £22,910/QALY). Annual national cost savings were €4.2M (Belgium), €24.7M (France), €45.1M (Germany), €12.7M (Netherlands) and $244M (US). UK budget increase was £8.4M.
CONCLUSION: Using the 70-gene signature to safely guide chemotherapy de-escalation in clinical high risk patients with ER+/HER2- tumours is cost-effective compared with using clinical assessment alone. Long-term follow-up and outcomes from the MINDACT trial are necessary to address uncertainties in model inputs.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  70-gene signature; Breast cancer; Cost-effectiveness; Gene expression profiling; MammaPrint®

Mesh:

Year:  2020        PMID: 32795875     DOI: 10.1016/j.ejca.2020.07.002

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  6 in total

Review 1.  Advancement of prognostic models in breast cancer: a narrative review.

Authors:  Ningning Min; Yufan Wei; Yiqiong Zheng; Xiru Li
Journal:  Gland Surg       Date:  2021-09

2.  Comparison of Genomic Profiling Data with Clinical Parameters: Implications for Breast Cancer Prognosis.

Authors:  José A López-Ruiz; Jon A Mieza; Ignacio Zabalza; María D M Vivanco
Journal:  Cancers (Basel)       Date:  2022-08-30       Impact factor: 6.575

3.  Combining method of detection and 70-gene signature for enhanced prognostication of breast cancer.

Authors:  J M N Lopes Cardozo; M K Schmidt; L J van 't Veer; F Cardoso; C Poncet; E J T Rutgers; C A Drukker
Journal:  Breast Cancer Res Treat       Date:  2021-06-30       Impact factor: 4.872

4.  Cost and Clinical Benefits Associated with Oncotype DX® Test in Patients with Early-Stage HR+/HER2- Node-Negative Breast Cancer in the Netherlands.

Authors:  Felix E de Jongh; Reva Efe; Kirsten H Herrmann; Jelle A Spoorendonk
Journal:  Int J Breast Cancer       Date:  2022-09-22

Review 5.  Prognostic Cancer Gene Expression Signatures: Current Status and Challenges.

Authors:  Yuquan Qian; Jimmy Daza; Timo Itzel; Johannes Betge; Tianzuo Zhan; Frederik Marmé; Andreas Teufel
Journal:  Cells       Date:  2021-03-15       Impact factor: 6.600

6.  A nomogram for predicting probability of low risk of MammaPrint results in women with clinically high-risk breast cancer.

Authors:  Young Joo Lee; Young Sol Hwang; Junetae Kim; Sei-Hyun Ahn; Byung Ho Son; Hee Jeong Kim; Beom Seok Ko; Jisun Kim; Il Yong Chung; Jong Won Lee; Sae Byul Lee
Journal:  Sci Rep       Date:  2021-12-06       Impact factor: 4.379

  6 in total

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