Scope, A. orcid.org/0000-0003-1604-1758, Essat, M., Pandor, A. et al. (5 more authors) (2017) Gene expression profiling and expanded immunohistochemistry tests to guide selection of chemotherapy regimens in breast cancer management: a systematic review. International Journal of Technology Assessment in Health Care, 33 (1). pp. 32-45. ISSN 0266-4623
Abstract
OBJECTIVES: The aim of this report was to assess the clinical effectiveness of two Gene expression profiling (GEP) and two expanded immunohistochemistry (IHC) tests compared with current prognostic tools in guiding the use of adjuvant chemotherapy in patients with early breast cancer.
METHODS: A systematic review of the evidence on clinical effectiveness of OncotypeDX, IHC4, MammaPrint and Mammostrat, compared with current clinical practice using clinicopathological parameters, in women with early breast cancer was conducted. Ten databases were searched to include citations to May 2016.
RESULTS: Searches identified 7064 citations, of which 41 citations satisfied the criteria for the review. A narrative synthesis was performed. Evidence for OncotypeDX demonstrated the impact of the test on decision-making and there was some support for OncotypeDX predicting chemotherapy benefit. There were relatively lower levels of evidence for the other three tests included in the analysis. MammaPrint, Mammostrat and IHC4 tests were limited to a small number of studies. Limitations in relation to study design were identified for all tests.
CONCLUSIONS: The evidence base for OncotypeDX is considered to be the most robust. Methodological weaknesses relating to heterogeneity of patient cohorts and issues arising from the retrospective nature of the evidence were identified. Further evidence is required for all of the tests using prospective randomised controlled trial data.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Cambridge University Press 2017. This is an author produced version of a paper subsequently published in International Journal of Technology Assessment in Health Care. Article available under the terms of the CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Gene expression profiling; Immunohistochemistry; breast cancer |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 Mar 2017 15:48 |
Last Modified: | 05 May 2020 14:11 |
Published Version: | https://doi.org/10.1017/S0266462317000034 |
Status: | Published |
Publisher: | Cambridge University Press |
Refereed: | Yes |
Identification Number: | 10.1017/S0266462317000034 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113359 |
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Filename: GEP IHC IJTAHC Final accepted version.pdf
Licence: CC-BY-NC-ND 4.0