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dc.contributor.authorAbdullahi Sidi, F
dc.contributor.authorBingham, V
dc.contributor.authorCraig, SG
dc.contributor.authorMcQuaid, S
dc.contributor.authorJames, J
dc.contributor.authorHumphries, MP
dc.contributor.authorSalto-Tellez, M
dc.date.accessioned2021-03-04T16:22:54Z
dc.date.available2021-03-04T16:22:54Z
dc.date.issued2020-12-23
dc.identifier.citationCancers, 2020, 13 (1)
dc.identifier.issn2072-6694
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/4399
dc.identifier.eissn2072-6694
dc.identifier.doi10.3390/cancers13010029
dc.description.abstractMultiplex immunofluorescence (mIF) and digital image analysis (DIA) have transformed the ability to analyse multiple biomarkers. We aimed to validate a clinical workflow for quantifying PD-L1 in non-small cell lung cancer (NSCLC). NSCLC samples were stained with a validated mIF panel. Immunohistochemistry (IHC) was conducted and mIF slides were scanned on an Akoya Vectra Polaris. Scans underwent DIA using QuPath. Single channel immunofluorescence was concordant with single-plex IHC. DIA facilitated quantification of cell types expressing single or multiple phenotypic markers. Considerations for analysis included classifier accuracy, macrophage infiltration, spurious staining, threshold sensitivity by DIA, sensitivity of cell identification in the mIF. Alternative sequential detection of biomarkers by DIA potentially impacted final score. Strong concordance was observed between 3,3'-Diaminobenzidine (DAB) IHC slides and mIF slides (R 2 = 0.7323). Comparatively, DIA on DAB IHC was seen to overestimate the PD-L1 score more frequently than on mIF slides. Overall, concordance between DIA on DAB IHC slides and mIF slides was 95%. DIA of mIF slides is rapid, highly comparable to DIA on DAB IHC slides, and enables comprehensive extraction of phenotypic data and specific microenvironmental detail intrinsic to the sample. Exploration of the clinical relevance of mIF in the context of immunotherapy treated cases is warranted.
dc.formatElectronic
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titlePD-L1 Multiplex and Quantitative Image Analysis for Molecular Diagnostics.
dc.typeJournal Article
dcterms.dateAccepted2020-12-17
rioxxterms.versionVoR
rioxxterms.versionofrecord10.3390/cancers13010029
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2020-12-23
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfCancers
pubs.issue1
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Integrated Pathology
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Integrated Pathology
pubs.publication-statusPublished
pubs.volume13
pubs.embargo.termsNot known
icr.researchteamIntegrated Pathology
icr.researchteamIntegrated Pathologyen_US
dc.contributor.icrauthorSalto-Tellez, Manuelen


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