Proposal to distinguish HER2-low from HER2-normal breast cancer by in situ hybridisation
Aims‘HER2-low’ breast cancer is an emerging issue as the clinical trials for anti-HER2 antibody–drug conjugates (trastuzumab deruxtecan) are making progress. A reliable method to identify HER2-low cancers is needed. This study aimed to evaluate immunohistochemistry (IHC) and in situ hybridisation (I...
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Veröffentlicht in: | Journal of clinical pathology 2023-11, Vol.76 (11), p.753-756 |
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Zusammenfassung: | Aims‘HER2-low’ breast cancer is an emerging issue as the clinical trials for anti-HER2 antibody–drug conjugates (trastuzumab deruxtecan) are making progress. A reliable method to identify HER2-low cancers is needed. This study aimed to evaluate immunohistochemistry (IHC) and in situ hybridisation (ISH) in detecting HER2-low status.MethodsWe evaluated the HER2 ISH data grouped by the IHC consensus in proficiency tests (PTs), and compared the HER2 ISH results between HER2 IHC scored 0 (IHC-0) and IHC scored 1+ (IHC-1+) tumours from in-house tissue microarrays (TMAs). Since benign/normal glands have HER2 expression and ideally should not be affected by targeted therapy, we evaluated HER2 ISH results in peritumoural benign glands of 52 breast cancers as reference values.ResultsNone of the 565 tissue cores in PTs achieved an 80% participant agreement of IHC-1+. In PTs and in-house TMAs, HER2 signals of the IHC-1+cores (median: 2.6 and 2.0, respectively) were significantly higher than those of IHC-0 cores (median: 2.0 and 1.7, respectively). But the ranges of HER2 signals had a considerable overlap between IHC-1+and IHC-0 cores. The HER2 signals and HER2:CEP17 ratios of peritumoural benign glands exhibited normal distributions, and their upper bounds of the 95% reference intervals were 2.10 and 1.30, respectively.ConclusionsCurrent HER2 testing algorithms are unsatisfactory in detecting HER2-low cases. Using ISH to detect tumour with HER2 signals and HER2:CEP17 ratio higher than the upper bound of the benign glands can be an alternative method. |
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ISSN: | 0021-9746 1472-4146 |
DOI: | 10.1136/jcp-2022-208444 |