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Status: Bibliographieeintrag

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Verfasst von:Weyerer, Veronika [VerfasserIn]   i
 Strissel, Pamela L. [VerfasserIn]   i
 Strick, Reiner [VerfasserIn]   i
 Sikic, Danijel [VerfasserIn]   i
 Geppert, Carol I. [VerfasserIn]   i
 Bertz, Simone [VerfasserIn]   i
 Lange, Fabienne [VerfasserIn]   i
 Taubert, Helge [VerfasserIn]   i
 Wach, Sven [VerfasserIn]   i
 Breyer, Johannes [VerfasserIn]   i
 Bolenz, Christian [VerfasserIn]   i
 Erben, Philipp [VerfasserIn]   i
 Schmitz-Draeger, Bernd J. [VerfasserIn]   i
 Wullich, Bernd [VerfasserIn]   i
 Hartmann, Arndt [VerfasserIn]   i
 Eckstein, Markus [VerfasserIn]   i
Titel:Integration of spatial PD-L1 expression with the tumor immune microenvironment outperforms standard PD-L1 scoring in outcome prediction of urothelial cancer patients
Verf.angabe:Veronika Weyerer, Pamela L. Strissel, Reiner Strick, Danijel Sikic, Carol I. Geppert, Simone Bertz, Fabienne Lange, Helge Taubert, Sven Wach, Johannes Breyer, Christian Bolenz, Philipp Erben, Bernd J. Schmitz-Draeger, Bernd Wullich, Arndt Hartmann and Markus Eckstein
E-Jahr:2021
Jahr:12 May 2021
Umfang:15 S.
Fussnoten:Gesehen am 16.09.2021
Titel Quelle:Enthalten in: Cancers
Ort Quelle:Basel : MDPI, 2009
Jahr Quelle:2021
Band/Heft Quelle:13(2021), 10, Artikel-ID 2327, Seite 1-15
ISSN Quelle:2072-6694
Abstract:Background: Immune therapy has gained significant importance in managing urothelial cancer. The value of PD-L1 remains a matter of controversy, thus requiring an in-depth analysis of its biological and clinical relevance. Methods: A total of 193 tumors of muscle-invasive bladder cancer patients (MIBC) were assessed with four PD-L1 assays. PD-L1 scoring results were correlated with data from a comprehensive digital-spatial immune-profiling panel using descriptive statistics, hierarchical clustering and uni-/multivariable survival analyses. Results: PD-L1 scoring algorithms are heterogeneous (agreements from 63.1% to 87.7%), and stems from different constellations of immune and tumor cells (IC/TC). While Ventana IC5% algorithm identifies tumors with high inflammation and favorable baseline prognosis, CPS10 and the TCarea25%/ICarea25% algorithm identify tumors with TC and IC expression. Spatially organized immune phenotypes, which correlate either with high PD-L1 IC expression and favorable prognosis or constitutive PD-L1 TC expression and poor baseline prognosis, cannot be resolved properly by PD-L1 algorithms. PD-L1 negative tumors with relevant immune infiltration can be detected by sTILs scoring on HE slides and digital CD8+ scoring. Conclusions: Contemporary PD-L1 scoring algorithms are not sufficient to resolve spatially distributed MIBC immune phenotypes and their clinical implications. A more comprehensive view of immune phenotypes along with the integration of spatial PD-L1 expression on IC and TC is necessary in order to stratify patients for ICI.
DOI:doi:10.3390/cancers13102327
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.3390/cancers13102327
 Volltext: https://www.mdpi.com/2072-6694/13/10/2327
 DOI: https://doi.org/10.3390/cancers13102327
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:bladder cancer
 immune phenotypes
 PD-1
 PD-L1
 TILs
 urothelial cancer
K10plus-PPN:1770842683
Verknüpfungen:→ Zeitschrift

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