Commercially Available Gene Expression Assays as Predictive Tools for Adjuvant Radiotherapy? A Critical Review
- PMID: 32398980
- PMCID: PMC7204850
- DOI: 10.1159/000505656
Commercially Available Gene Expression Assays as Predictive Tools for Adjuvant Radiotherapy? A Critical Review
Abstract
Background: Gene expression assays are increasingly used for decision-making regarding adjuvant chemotherapy in patients with hormone receptor-positive, HER2-negative breast cancer. There are some clinical situations in which there is also a need for better prognostic and predictive markers to better estimate the amount of benefit from adjuvant radiotherapy. The rising availability of gene expression analyses prompts the question whether their results can also be used to guide clinical decisions regarding adjuvant radiation.
Summary: Multiple studies suggest a correlation between results from gene expression assays and locoregional recurrence rates. Only few publications addressed the predictive value of results from gene expression analysis for the role of adjuvant radiotherapy in different settings.
Key messages: To date, the available evidence on the possible predictive value of gene expression assays for radiotherapy does not support their inclusion into the decision-making process for adjuvant radiation. This is due to methodological weaknesses and limitations regarding patient selection, the nonrandomized design of all studies in terms of radiotherapy use, and limited availability of tissue from prospective trials. Thus, utilization of the present knowledge for clinical indication of radiotherapy should be very cautious.
Keywords: Breast cancer; Gene expression assay; Oncotype DX; Predictive marker; Radiotherapy.
Copyright © 2020 by S. Karger AG, Basel.
Conflict of interest statement
D.K. has received honoraria from Merck Sharp and Dome. R.B., W.B., M.N.D., J.D., P.F., R.F., W. Haase, W. Harms, T.H., M.D.P., F.S., R. Souchon, F.W., and R. Sauer declare that they have no conflicts of interest.
References
-
- Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000 Aug;406((6797)):747–52. - PubMed
-
- Fan C, Oh DS, Wessels L, Weigelt B, Nuyten DS, Nobel AB, et al. Concordance among gene-expression-based predictors for breast cancer. N Engl J Med. 2006 Aug;355((6)):560–9. - PubMed
-
- Cardoso F, van't Veer LJ, Bogaerts J, Slaets L, Viale G, Delaloge S, et al. MINDACT Investigators 70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer. N Engl J Med. 2016 Aug;375((8)):717–29. - PubMed
Publication types
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous
