Digital scoring of EpCAM and slug expression as prognostic markers in head and neck squamous cell carcinomas.
Adult
Aged
Aged, 80 and over
Biomarkers, Tumor
/ genetics
Epithelial Cell Adhesion Molecule
/ genetics
Epithelial-Mesenchymal Transition
Female
Humans
Immunohistochemistry
Male
Middle Aged
Prognosis
Snail Family Transcription Factors
/ genetics
Squamous Cell Carcinoma of Head and Neck
/ diagnosis
Young Adult
EMT
EpCAM
HNSCC
Slug
antigen scoring
Journal
Molecular oncology
ISSN: 1878-0261
Titre abrégé: Mol Oncol
Pays: United States
ID NLM: 101308230
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
revised:
11
11
2020
received:
29
07
2020
accepted:
15
12
2020
pubmed:
20
12
2020
medline:
15
1
2022
entrez:
19
12
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33340247
doi: 10.1002/1878-0261.12886
pmc: PMC8024715
doi:
Substances chimiques
Biomarkers, Tumor
0
EPCAM protein, human
0
Epithelial Cell Adhesion Molecule
0
SNAI1 protein, human
0
Snail Family Transcription Factors
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1040-1053Informations de copyright
© 2020 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.
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