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Quantitative microimmunohistochemistry for the grading of immunostains on tumour tissues


Kashyap, Aditya; Fomitcheva Khartchenko, Anna; Pati, Pushpak; Gabrani, Maria; Schraml, Peter; Kaigala, Govind V (2019). Quantitative microimmunohistochemistry for the grading of immunostains on tumour tissues. Nature Biomedical Engineering, 3(6):478-490.

Abstract

Immunohistochemistry is the gold-standard method for cancer-biomarker identification and patient stratification. Yet, owing to signal saturation, its use as a quantitative assay is limited as it cannot distinguish tumours with similar biomarker-expression levels. Here, we introduce a quantitative microimmunochemistry assay that enables the acquisition of dynamic information, via a metric of the evolution of the immunohistochemistry signal during tissue staining, for the quantification of relative antigen density on tissue surfaces. We used the assay to stratify 30 patient-derived breast-cancer samples into conventional classes and to determine the proximity of each sample to the other classes. We also show that the assay enables the quantification of multiple biomarkers (human epidermal growth factor receptor, oestrogen receptor and progesterone receptor) in a standard breast-cancer panel. The integration of quantitative microimmunohistochemistry into current pathology workflows may lead to improvements in the precision of biomarker quantification.

Abstract

Immunohistochemistry is the gold-standard method for cancer-biomarker identification and patient stratification. Yet, owing to signal saturation, its use as a quantitative assay is limited as it cannot distinguish tumours with similar biomarker-expression levels. Here, we introduce a quantitative microimmunochemistry assay that enables the acquisition of dynamic information, via a metric of the evolution of the immunohistochemistry signal during tissue staining, for the quantification of relative antigen density on tissue surfaces. We used the assay to stratify 30 patient-derived breast-cancer samples into conventional classes and to determine the proximity of each sample to the other classes. We also show that the assay enables the quantification of multiple biomarkers (human epidermal growth factor receptor, oestrogen receptor and progesterone receptor) in a standard breast-cancer panel. The integration of quantitative microimmunohistochemistry into current pathology workflows may lead to improvements in the precision of biomarker quantification.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Institute of Pathology and Molecular Pathology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Life Sciences > Biotechnology
Physical Sciences > Bioengineering
Health Sciences > Medicine (miscellaneous)
Physical Sciences > Biomedical Engineering
Physical Sciences > Computer Science Applications
Language:English
Date:June 2019
Deposited On:13 Jan 2020 10:05
Last Modified:29 Jul 2020 12:24
Publisher:Springer
ISSN:2157-846X
OA Status:Closed
Publisher DOI:https://doi.org/10.1038/s41551-019-0386-3
PubMed ID:30962588

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