Literature DB >> 31264581

Tumour profiling tests to guide adjuvant chemotherapy decisions in early breast cancer: a systematic review and economic analysis.

Sue Harnan1, Paul Tappenden1, Katy Cooper1, John Stevens1, Alice Bessey1, Rachid Rafia1, Sue Ward1, Ruth Wong1, Robert C Stein2,3, Janet Brown4.   

Abstract

BACKGROUND: Breast cancer and its treatment can have an impact on health-related quality of life and survival. Tumour profiling tests aim to identify whether or not women need chemotherapy owing to their risk of relapse.
OBJECTIVES: To conduct a systematic review of the effectiveness and cost-effectiveness of the tumour profiling tests oncotype DX® (Genomic Health, Inc., Redwood City, CA, USA), MammaPrint® (Agendia, Inc., Amsterdam, the Netherlands), Prosigna® (NanoString Technologies, Inc., Seattle, WA, USA), EndoPredict® (Myriad Genetics Ltd, London, UK) and immunohistochemistry 4 (IHC4). To develop a health economic model to assess the cost-effectiveness of these tests compared with clinical tools to guide the use of adjuvant chemotherapy in early-stage breast cancer from the perspective of the NHS and Personal Social Services.
DESIGN: A systematic review and health economic analysis were conducted. REVIEW
METHODS: The systematic review was partially an update of a 2013 review. Nine databases were searched in February 2017. The review included studies assessing clinical effectiveness in people with oestrogen receptor-positive, human epidermal growth factor receptor 2-negative, stage I or II cancer with zero to three positive lymph nodes. The economic analysis included a review of existing analyses and the development of a de novo model.
RESULTS: A total of 153 studies were identified. Only one completed randomised controlled trial (RCT) using a tumour profiling test in clinical practice was identified: Microarray In Node-negative Disease may Avoid ChemoTherapy (MINDACT) for MammaPrint. Other studies suggest that all the tests can provide information on the risk of relapse; however, results were more varied in lymph node-positive (LN+) patients than in lymph node-negative (LN0) patients. There is limited and varying evidence that oncotype DX and MammaPrint can predict benefit from chemotherapy. The net change in the percentage of patients with a chemotherapy recommendation or decision pre/post test ranged from an increase of 1% to a decrease of 23% among UK studies and a decrease of 0% to 64% across European studies. The health economic analysis suggests that the incremental cost-effectiveness ratios for the tests versus current practice are broadly favourable for the following scenarios: (1) oncotype DX, for the LN0 subgroup with a Nottingham Prognostic Index (NPI) of > 3.4 and the one to three positive lymph nodes (LN1-3) subgroup (if a predictive benefit is assumed); (2) IHC4 plus clinical factors (IHC4+C), for all patient subgroups; (3) Prosigna, for the LN0 subgroup with a NPI of > 3.4 and the LN1-3 subgroup; (4) EndoPredict Clinical, for the LN1-3 subgroup only; and (5) MammaPrint, for no subgroups. LIMITATIONS: There was only one completed RCT using a tumour profiling test in clinical practice. Except for oncotype DX in the LN0 group with a NPI score of > 3.4 (clinical intermediate risk), evidence surrounding pre- and post-test chemotherapy probabilities is subject to considerable uncertainty. There is uncertainty regarding whether or not oncotype DX and MammaPrint are predictive of chemotherapy benefit. The MammaPrint analysis uses a different data source to the other four tests. The Translational substudy of the Arimidex, Tamoxifen, Alone or in Combination (TransATAC) study (used in the economic modelling) has a number of limitations.
CONCLUSIONS: The review suggests that all the tests can provide prognostic information on the risk of relapse; results were more varied in LN+ patients than in LN0 patients. There is limited and varying evidence that oncotype DX and MammaPrint are predictive of chemotherapy benefit. Health economic analyses indicate that some tests may have a favourable cost-effectiveness profile for certain patient subgroups; all estimates are subject to uncertainty. More evidence is needed on the prediction of chemotherapy benefit, long-term impacts and changes in UK pre-/post-chemotherapy decisions. STUDY REGISTRATION: This study is registered as PROSPERO CRD42017059561. FUNDING: The National Institute for Health Research Health Technology Assessment programme.

Entities:  

Keywords:  BREAST NEOPLASMS; CANCER; ECONOMIC MODEL; PROFILING; PROGNOSIS; SYSTEMATIC REVIEW; TEST

Mesh:

Year:  2019        PMID: 31264581      PMCID: PMC6627008          DOI: 10.3310/hta23300

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  9 in total

Review 1.  A clinical calculator to predict disease outcomes in women with triple-negative breast cancer.

Authors:  Mei-Yin C Polley; Roberto A Leon-Ferre; Samuel Leung; Angela Cheng; Dongxia Gao; Jason Sinnwell; Heshan Liu; David W Hillman; Abraham Eyman-Casey; Judith A Gilbert; Vivian Negron; Judy C Boughey; Minetta C Liu; James N Ingle; Krishna Kalari; Fergus Couch; Jodi M Carter; Daniel W Visscher; Torsten O Nielsen; Matthew P Goetz
Journal:  Breast Cancer Res Treat       Date:  2021-01-03       Impact factor: 4.872

Review 2.  Multikinase inhibitors in thyroid cancer: timing of targeted therapy.

Authors:  Matti L Gild; Venessa H M Tsang; Roderick J Clifton-Bligh; Bruce G Robinson
Journal:  Nat Rev Endocrinol       Date:  2021-02-18       Impact factor: 43.330

Review 3.  Translation of Precision Medicine Research Into Biomarker-Informed Care in Radiation Oncology.

Authors:  Jessica A Scarborough; Jacob G Scott
Journal:  Semin Radiat Oncol       Date:  2022-01       Impact factor: 5.421

Review 4.  The Potential Use of Tumour-Based Prognostic and Predictive Tools in Older Women with Primary Breast Cancer: A Narrative Review.

Authors:  Sophie Gordon-Craig; Ruth M Parks; Kwok-Leung Cheung
Journal:  Oncol Ther       Date:  2020-07-17

Review 5.  Recommendations from the European Commission Initiative on Breast Cancer for multigene testing to guide the use of adjuvant chemotherapy in patients with early breast cancer, hormone receptor positive, HER-2 negative.

Authors:  Paolo Giorgi Rossi; Annette Lebeau; Carlos Canelo-Aybar; Zuleika Saz-Parkinson; Cecily Quinn; Miranda Langendam; Helen Mcgarrigle; Sue Warman; David Rigau; Pablo Alonso-Coello; Mireille Broeders; Axel Graewingholt; Margarita Posso; Stephen Duffy; Holger J Schünemann
Journal:  Br J Cancer       Date:  2021-02-18       Impact factor: 7.640

6.  Comparison of risk assessment in 1652 early ER positive, HER2 negative breast cancer in a real-world data set: classical pathological parameters vs. 12-gene molecular assay (EndoPredict).

Authors:  Carsten Denkert; Wolfgang Daniel Schmitt; Paul Jank; Judith Lea Lindner; Annika Lehmann; Berit Maria Pfitzner; Jens-Uwe Blohmer; David Horst; Ralf Kronenwett
Journal:  Breast Cancer Res Treat       Date:  2021-11-16       Impact factor: 4.872

7.  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

8.  Systemic Treatment of Breast Cancer. 1st Central-Eastern European Professional Consensus Statement on Breast Cancer.

Authors:  Gábor Rubovszky; Judit Kocsis; Katalin Boér; Nataliya Chilingirova; Magdolna Dank; Zsuzsanna Kahán; Dilyara Kaidarova; Erika Kövér; Bibiana Vertáková Krakovská; Károly Máhr; Bela Mriňáková; Béla Pikó; Ivana Božović-Spasojević; Zsolt Horváth
Journal:  Pathol Oncol Res       Date:  2022-07-11       Impact factor: 2.874

9.  A pharmacophore-based classification better predicts the outcomes of HER2-negative breast cancer patients receiving the anthracycline- and/or taxane-based neoadjuvant chemotherapy.

Authors:  Xuan Li; Hefen Sun; Qiqi Liu; Yang Liu; Yifeng Hou; Wei Jin
Journal:  Cancer Med       Date:  2021-06-02       Impact factor: 4.452

  9 in total

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