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Digital quantitative assessment of PD-L1 using digital spatial profiling
The assessment of programmed death 1 ligand 1 (PD-L1) expression by Immunohistochemistry (IHC) is the US Food and Drug Administration (FDA)-approved predictive marker to select responders to checkpoint blockade anti-PD-1/PD-L1 axis immunotherapies. Different PD-L1 immunohistochemistry (IHC) assays u...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502436/ https://www.ncbi.nlm.nih.gov/pubmed/32249818 http://dx.doi.org/10.1038/s41374-020-0424-5 |
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author | Gupta, Swati Zugazagoitia, Jon Martinez-Morilla, Sandra Fuhrman, Kit Rimm, David L. |
author_facet | Gupta, Swati Zugazagoitia, Jon Martinez-Morilla, Sandra Fuhrman, Kit Rimm, David L. |
author_sort | Gupta, Swati |
collection | PubMed |
description | The assessment of programmed death 1 ligand 1 (PD-L1) expression by Immunohistochemistry (IHC) is the US Food and Drug Administration (FDA)-approved predictive marker to select responders to checkpoint blockade anti-PD-1/PD-L1 axis immunotherapies. Different PD-L1 immunohistochemistry (IHC) assays use different antibodies and different scoring methods in tumor cells and immune cells. Multiple studies have compared the performance of these assays with variable results. Here, we investigate an alternative method for assessment of PD-L1 using a new technology known as digital spatial profiling. We use a previously described standardization tissue microarray (TMA) to assess the accuracy of the method and compare digital spatial profiler (DSP) to each FDA approved PD-L1 assay and one LDT assay and 3 quantitative fluorescence assays. The standardized cell line Index tissue microarray contains 10 isogenic cells lines in triplicates expressing various range of PD-L1. The dynamic range of PD-L1 digital counts was measured in the ten cell lines on the Index TMA using GeoMx DSP assay and readout on the nCounter platform. The digital method shows very high correlation with immunohistochemistry scored with quantitative software and with quantitative fluorescence. High correlation of PD-L1 digital DSP counts were seen between rows on the same Index TMA. Finally, experiments from two Index TMAs showed reproducibility of DSP counts were independent of variable slide storage time over a three-week period after antibody labeling but before collection of cleaved tags. In summary, DSP appears to have quantitative potential comparable to quantitative immunohistochemistry. It is possible that this technology could be used as a PD-L1 protein measurement system for companion diagnostic testing for immune therapy. |
format | Online Article Text |
id | pubmed-7502436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-75024362020-10-06 Digital quantitative assessment of PD-L1 using digital spatial profiling Gupta, Swati Zugazagoitia, Jon Martinez-Morilla, Sandra Fuhrman, Kit Rimm, David L. Lab Invest Article The assessment of programmed death 1 ligand 1 (PD-L1) expression by Immunohistochemistry (IHC) is the US Food and Drug Administration (FDA)-approved predictive marker to select responders to checkpoint blockade anti-PD-1/PD-L1 axis immunotherapies. Different PD-L1 immunohistochemistry (IHC) assays use different antibodies and different scoring methods in tumor cells and immune cells. Multiple studies have compared the performance of these assays with variable results. Here, we investigate an alternative method for assessment of PD-L1 using a new technology known as digital spatial profiling. We use a previously described standardization tissue microarray (TMA) to assess the accuracy of the method and compare digital spatial profiler (DSP) to each FDA approved PD-L1 assay and one LDT assay and 3 quantitative fluorescence assays. The standardized cell line Index tissue microarray contains 10 isogenic cells lines in triplicates expressing various range of PD-L1. The dynamic range of PD-L1 digital counts was measured in the ten cell lines on the Index TMA using GeoMx DSP assay and readout on the nCounter platform. The digital method shows very high correlation with immunohistochemistry scored with quantitative software and with quantitative fluorescence. High correlation of PD-L1 digital DSP counts were seen between rows on the same Index TMA. Finally, experiments from two Index TMAs showed reproducibility of DSP counts were independent of variable slide storage time over a three-week period after antibody labeling but before collection of cleaved tags. In summary, DSP appears to have quantitative potential comparable to quantitative immunohistochemistry. It is possible that this technology could be used as a PD-L1 protein measurement system for companion diagnostic testing for immune therapy. 2020-04-06 2020-10 /pmc/articles/PMC7502436/ /pubmed/32249818 http://dx.doi.org/10.1038/s41374-020-0424-5 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Gupta, Swati Zugazagoitia, Jon Martinez-Morilla, Sandra Fuhrman, Kit Rimm, David L. Digital quantitative assessment of PD-L1 using digital spatial profiling |
title | Digital quantitative assessment of PD-L1 using digital spatial profiling |
title_full | Digital quantitative assessment of PD-L1 using digital spatial profiling |
title_fullStr | Digital quantitative assessment of PD-L1 using digital spatial profiling |
title_full_unstemmed | Digital quantitative assessment of PD-L1 using digital spatial profiling |
title_short | Digital quantitative assessment of PD-L1 using digital spatial profiling |
title_sort | digital quantitative assessment of pd-l1 using digital spatial profiling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502436/ https://www.ncbi.nlm.nih.gov/pubmed/32249818 http://dx.doi.org/10.1038/s41374-020-0424-5 |
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