Molecular classification of endometrial carcinoma: a clinically oriented review.

carcinoma endometrium uterus

Journal

Journal of clinical pathology
ISSN: 1472-4146
Titre abrégé: J Clin Pathol
Pays: England
ID NLM: 0376601

Informations de publication

Date de publication:
30 May 2022
Historique:
received: 14 04 2022
accepted: 16 05 2022
entrez: 31 5 2022
pubmed: 1 6 2022
medline: 1 6 2022
Statut: aheadofprint

Résumé

The Cancer Genome Atlas research network performed a genome-wide analysis of endometrial carcinomas in 2013 and classified tumours into four distinct subgroups: polymerase-ϵ ultramutated, microsatellite unstable hypermutated, copy-number low and copy-number high. These molecular alterations are mostly mutually exclusive as only about 3% of tumours exhibit more than one molecular signature. Apart from the polymerase-ϵ ultramutated subgroup, molecular classification can be reproduced by using surrogate markers. This has facilitated the implementation of molecular diagnostics into routine patient care. Molecular subgroups are associated with different prognoses; thus, improved risk assessment is their most obvious clinical application. However, based on their unique molecular architectures, molecular subgroups should not be regarded simply as risk groups but rather as distinct diseases. This has prompted us and others to examine the role of molecular subgroups in modifying the prognostic effect of traditional risk factors, including clinical factors, uterine factors and tissue biomarkers, and in predicting the response to adjuvant therapies. In the following review, we summarise the current knowledge of molecularly classified endometrial carcinoma and present, based on our own experience, a proposal for implementing molecular classification into daily practice in pathology laboratories.

Identifiants

pubmed: 35636924
pii: jclinpath-2022-208345
doi: 10.1136/jclinpath-2022-208345
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

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

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Mikko Loukovaara (M)

Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland mikko.loukovaara@hus.fi.

Annukka Pasanen (A)

Department of Pathology, Helsinki University Hospital and Research Program in Applied Tumor Genomics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Ralf Bützow (R)

Department of Pathology, Helsinki University Hospital and Research Program in Applied Tumor Genomics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Classifications MeSH