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Verfasst von:Moratin, Julius [VerfasserIn]   i
 Mock, Andreas [VerfasserIn]   i
 Steen, Sonja [VerfasserIn]   i
 Semmelmayer, Karl [VerfasserIn]   i
 Flechtenmacher, Christa [VerfasserIn]   i
 Plath, Karim [VerfasserIn]   i
 Fröhling, Stefan [VerfasserIn]   i
 Jäger, Dirk [VerfasserIn]   i
 Krauß, Jürgen [VerfasserIn]   i
 Hoffmann, Jürgen [VerfasserIn]   i
 Freier, Kolja [VerfasserIn]   i
 Horn, Dominik [VerfasserIn]   i
 Heß, Jochen [VerfasserIn]   i
 Freudlsperger, Christian [VerfasserIn]   i
Titel:Digital pathology scoring of immunohistochemical staining reliably identifies prognostic markers and anatomical associations in a large cohort of oral cancers
Verf.angabe:Julius Moratin, Andreas Mock, Sonja Obradovic, Karl Metzger, Christa Flechtenmacher, Karim Zaoui, Stefan Fröhling, Dirk Jäger, Jürgen Krauss, Jürgen Hoffmann, Kolja Freier, Dominik Horn, Jochen Hess and Christian Freudlsperger
E-Jahr:2021
Jahr:29 July 2021
Umfang:11 S.
Fussnoten:Gesehen am 31.08.2021
Titel Quelle:Enthalten in: Frontiers in oncology
Ort Quelle:Lausanne : Frontiers Media, 2011
Jahr Quelle:2021
Band/Heft Quelle:11(2021) vom: 29. Juli, Artikel-ID 712944, Seite 1-11
ISSN Quelle:2234-943X
Abstract:Utilizing digital pathology algorithms for the objective quantification of immunohistochemical staining, this study aimed to identify robust prognostic biomarkers for oral cancer. Tissue microarrays with specimens of a large cohort of oral squamous cell carcinoma (n=222) were immunohistochemically stained to determine the expression of PD-L1, EGFR, and COX-2 and the amount of infiltrating NK cells and CD8-positive T cells. Immunoreactivity scores were assessed using both a classical manual scoring procedure and a digital semi-automatic approach using QuPath. Digital scoring was successful in quantifying the expression levels of different prognostic biomarkers (CD8: p<0.001; NK cells: p=0.002, PD-L1: p=0.026) and high levels of concordance with manual scoring results were observed. A combined score integrating EGFR expression, neck node status and immune cell signatures with a significant impact on overall and progression-free survival was identified (p<0.001). These data may contribute to the ongoing research on the identification of reliable and clinically relevant biomarkers for the individualization of primary and adjuvant treatment in oral cancer.
DOI:doi:10.3389/fonc.2021.712944
URL:kostenfrei: Volltext: https://doi.org/10.3389/fonc.2021.712944
 kostenfrei: Volltext: https://www.frontiersin.org/article/10.3389/fonc.2021.712944
 DOI: https://doi.org/10.3389/fonc.2021.712944
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1768117543
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