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Schinke, H.* ; Heider, T. ; Herkommer, T. ; Simon, F.* ; Blancke Soares, A.* ; Kranz, G.* ; Samaga, D. ; Dajka, L. ; Feuchtinger, A. ; Walch, A.K. ; Valeanu, L.* ; Walz, C.* ; Kirchner, T.* ; Canis, M.* ; Baumeister, P. ; Belka, C. ; Maihöfer, C. ; Marschner, S. ; Pflugradt, U. ; Ganswindt, U.* ; Hess J. ; Zitzelsberger, H. ; Gires, O.

Digital scoring of EpCAM and slug expression as prognostic markers in head and neck squamous cell carcinomas.

Mol. Oncol. 15, 1040-1053 (2021)
Publ. Version/Full Text DOI PMC
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Head and neck squamous cell carcinomas (HNSCCs) have poor clinical outcome owing to therapy resistance and frequent recurrences that are among others attributable to tumor cells in partial epithelial-to-mesenchymal transition (pEMT). We compared side-by-side software-based and visual quantification of immunohistochemistry (IHC) staining of epithelial marker EpCAM and EMT regulator Slug in n = 102 primary HNSCC to assess optimal analysis protocols. IHC scores incorporated expression levels and percentages of positive cells. Digital and visual evaluation of membrane-associated EpCAM yielded correlating scorings, whereas visual evaluation of nuclear Slug resulted in significantly higher overall scores. Multivariable Cox proportional hazard analysis defined the median EpCAM expression levels resulting from visual quantification as an independent prognostic factor of overall survival. Slug expression levels resulting from digital quantification were an independent prognostic factor of recurrence-free survival, locoregional recurrence-free survival, and disease-specific survival. Hence, we propose to use visual assessment for the membrane-associated EpCAM protein, whereas nuclear protein Slug assessment was more accurate following digital measurement.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Antigen Scoring ; Emt ; Epcam ; Hnscc ; Slug; Survival; Snail
Language english
Publication Year 2021
Prepublished in Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 1574-7891
e-ISSN 1878-0261
Quellenangaben Volume: 15, Issue: 4, Pages: 1040-1053 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place Amsterdam [u.a.]
Reviewing status Peer reviewed
Institute(s) Translational Metabolic Oncology (IDC-TMO)
CF Pathology & Tissue Analytics (CF-PTA)
Research Unit Analytical Pathology (AAP)
POF-Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30203 - Molecular Targets and Therapies
30505 - New Technologies for Biomedical Discoveries
30205 - Bioengineering and Digital Health
Research field(s) Radiation Sciences
Enabling and Novel Technologies
PSP Element(s) G-521800-001
G-501000-001
A-630600-001
G-500390-001
Grants Deutsche Forschungsgemeinschaft

Bayerisches Staatsministerium für Wirtschaft, Energie und Technologie BayBIO
Scopus ID 85098284143
PubMed ID 33340247
Erfassungsdatum 2021-02-09