Discerning subsets of breast cancer with very low and absent HER2 protein expression.


Journal

Human pathology
ISSN: 1532-8392
Titre abrégé: Hum Pathol
Pays: United States
ID NLM: 9421547

Informations de publication

Date de publication:
09 2022
Historique:
received: 25 04 2022
revised: 26 05 2022
accepted: 31 05 2022
pubmed: 8 6 2022
medline: 21 9 2022
entrez: 7 6 2022
Statut: ppublish

Résumé

Breast cancers are currently eligible for treatment with anti-HER2 therapies if they exhibit amplification of the gene ERBB2 and overexpression of its protein product HER2. Recently, breast cancers with low HER2 expression have shown response to novel anti-HER2 antibody-drug conjugates, and the lower end of "low-HER2" tumors has not yet been clinically delineated. The historically binary approach to HER2 scoring will need to evolve and reporting of HER2 status may require refinement to better stratify low-HER2 statuses. We performed a quality review of HER2 immunohistochemical (IHC) scoring of breast carcinomas with low HER2 expression (71 core biopsies and 51 excisions). We also investigated the feasibility of discerning cases with total lack of HER2 expression from those cases with "very low" HER2 expression that did not meet current criteria for a HER2(1+) score. Rescoring HER2 achieved substantial agreement when performed at 200×, and near-perfect agreement at 400× magnification. Examination under 400× magnification led to recognition of more cases with HER2 expression. Less than 10% of cases showed complete lack of HER2 protein expression by IHC. Cases with "very low" expression were readily identified, and such a category would be feasible to implement in pathologist workflow.

Identifiants

pubmed: 35671839
pii: S0046-8177(22)00145-9
doi: 10.1016/j.humpath.2022.05.019
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Immunoconjugates 0
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

50-55

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Baris Boyraz (B)

Department of Pathology, Massachusetts General Hospital, Boston, MA, 02114, USA. Electronic address: bboyraz@mgh.harvard.edu.

Amy Ly (A)

Harvard Medical School, USA.

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Classifications MeSH