2022
DOI: 10.1038/s41374-022-00804-9
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Quantitative measurement of HER2 expression to subclassify ERBB2 unamplified breast cancer

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Cited by 71 publications
(56 citation statements)
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“…In parallel with existing techniques, novel methods to quantify HER2 levels or standardize procedures are being investigated, including quantitative assays to measure HER2 protein expression at the single cell level, automated scoring of HER2 FISH, microRNA signatures in primary tumour tissue as a prognostic/ predictive tool, using a mass spectrometry system to measure HER2 at attomols mm 2 (refs. [270][271][272][273] ). Furthermore, gene expressionbased tools for prognostic and predictive purposes are also under evaluation in HER2 + breast cancer, although none of these has yet reached mainstream use 274,275 .…”
Section: Her2 Diagnosticsmentioning
confidence: 99%
“…In parallel with existing techniques, novel methods to quantify HER2 levels or standardize procedures are being investigated, including quantitative assays to measure HER2 protein expression at the single cell level, automated scoring of HER2 FISH, microRNA signatures in primary tumour tissue as a prognostic/ predictive tool, using a mass spectrometry system to measure HER2 at attomols mm 2 (refs. [270][271][272][273] ). Furthermore, gene expressionbased tools for prognostic and predictive purposes are also under evaluation in HER2 + breast cancer, although none of these has yet reached mainstream use 274,275 .…”
Section: Her2 Diagnosticsmentioning
confidence: 99%
“…Recently, the 3rd generation of HER2-targeting ADCs have put into question the categorical classification of HER2+ BC mainly with the results of DESTINY-Breast04 showing meaningful activity in patients with HER2-low expression [ 59 ]. Thus, the traditional HER2 testing assays (IHC and ISH) need to be accompanied by more sensitive methods that better quantify the levels of HER2 required for response to T-DXd or other HER2-targeting ADCs [ 82 ].…”
Section: Perspectivesmentioning
confidence: 99%
“…The use of deep learning-based image analysis removes some, but not all of these limitations. Moutafi [23,24]. But also here, caution and much more efforts are needed to develop and standardise deep-learning approaches that can be extrapolated to different hospital settings, since there is still no HER2-deep learning assay available that has demonstrated robustness if implemented in different hospital settings.…”
Section: Proposed Solutions To Improve the Her2-low Assay Narrativementioning
confidence: 99%