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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)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Antigen Scoring ; Emt ; Epcam ; Hnscc ; Slug; Survival; Snail
Sprache englisch
Veröffentlichungsjahr 2021
Prepublished im Jahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 1574-7891
e-ISSN 1878-0261
Zeitschrift Molecular Oncology
Quellenangaben Band: 15, Heft: 4, Seiten: 1040-1053 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Amsterdam [u.a.]
Begutachtungsstatus Peer reviewed
Institut(e) 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
Forschungsfeld(er) Radiation Sciences
Enabling and Novel Technologies
PSP-Element(e) G-521800-001
G-501000-001
A-630600-001
G-500390-001
Förderungen Deutsche Forschungsgemeinschaft

Bayerisches Staatsministerium für Wirtschaft, Energie und Technologie BayBIO
DOI 10.1002/1878-0261.12886
WOS ID WOS:000603310300001
Scopus ID 85098284143
PubMed ID 33340247
Erfassungsdatum 2021-02-09
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