Three-antibody classifier for muscle invasive urothelial carcinoma and its correlation with p53 expression

© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ..

AIMS: To assess the utility of a three-antibody immunohistochemistry panel to classify muscle invasive bladder cancers (MIBCs) in correlation with morphological features and p53 status.

METHODS: A retrospective review of 243 chemotherapy naïve MIBC cystectomy specimens was performed to assess morphological features. A tissue microarray was sequentially stained with CK5/6, GATA-3 and p16. Subgroups were assigned as basal-like (CK5/6+, GATA3-) and luminal (CK5/6-, GATA3+), with the latter subdivided into genomically unstable (GU, p16+) and urothelial like (Uro, p16-) subgroups. p53 staining was assessed as abnormal/wild type. Cases from the The Cancer Genome Atlas (TCGA) portal were assessed as external validation.

RESULTS: We identified 78.8% luminal, 21.2% basal cases within our cohort and 63.4% luminal, 36.6% basal in the TCGA dataset. Divergent differentiation (p<0.001) was significantly associated with basal-subtype cases in both cohorts. Within the luminal subgroup (n=186), 81 cases were classified as GU and 105 as Uro. Abnormal p53 staining was noted in 48.0% of basal, 80.2% GU and 38.1% Uro cases. Further, basal-subtype tumours significantly correlated with disease-specific death compared with Uro cases in multivariate survival analysis.

CONCLUSIONS: This retrospective study demonstrates the potential utility of a three-antibody immunohistochemistry panel to differentiate luminal and basal MIBC.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:75

Enthalten in:

Journal of clinical pathology - 75(2022), 11 vom: 08. Nov., Seite 766-771

Sprache:

Englisch

Beteiligte Personen:

Olkhov-Mitsel, Ekaterina [VerfasserIn]
Hodgson, Anjelica [VerfasserIn]
Liu, Stanley K [VerfasserIn]
Vesprini, Danny [VerfasserIn]
Xu, Bin [VerfasserIn]
Downes, Michelle R [VerfasserIn]

Links:

Volltext

Themen:

Biomarkers, Tumor
Immunohistochemistry
Journal Article
Molecular
Morphology
Pathology
Tumor Suppressor Protein p53
Urinary bladder

Anmerkungen:

Date Completed 21.10.2022

Date Revised 21.10.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1136/jclinpath-2021-207573

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM326514864