[Translocation-associated uterine mesenchymal tumors: The new without forgetting the old. An integrated diagnostic approach].

Tumeurs mésenchymateuses utérines associées à translocation : du nouveau sans oublier l’ancien. Une approche diagnostique intégrée.
Génomique simple Sarcome à translocation Simple genomic profile Translocation Tumeurs mésenchymateuses utérines Uterine mesenchymal neoplasms

Journal

Annales de pathologie
ISSN: 0242-6498
Titre abrégé: Ann Pathol
Pays: France
ID NLM: 8106337

Informations de publication

Date de publication:
17 Oct 2024
Historique:
received: 10 04 2024
revised: 15 09 2024
accepted: 16 09 2024
medline: 19 10 2024
pubmed: 19 10 2024
entrez: 18 10 2024
Statut: aheadofprint

Résumé

This review focuses on uterine mesenchymal tumors that are defined on a molecular level by a single and unique genetic alteration, that is somehow necessary and sufficient to allow tumor growth and progression. Although diverse from a clinical, morphological and immunohistochemical point of view, the different entities we are going to talk about share both a simple genomic profile with a low number of chromosomal alterations observed by CGH Array (few deletions, gains or amplifications...) and a low mutational burden observed by sequencing technics. Some of these entities are already well known and described in the literature when found outside of the uterus and gynecological tract. It remains intriguing that uterine mesenchymal pathology has been lagging behind when compared to its extrauterine counterpart. How can we explain that when it comes to inflammatory myofibroblastic tumors, abundant numbers of articles have been published since the 70's, but it was only in the early 2000s that the first relevant descriptions of this tumor in the uterus emerged? Certainly, the increased accuracy, availability, and use of molecular biology technics and in particular RNA sequencing in the area of uterine pathology can partly explain the reduction of the gap between soft tissue and uterine pathology we currently observe. Other reasons explaining this gap may be the high prevalence of smooth muscle tumors in the uterus and the abounding diversity of their morphological aspects, which may have partly eclipsed the array of differential diagnoses. Last but not least, one can hypothesize that the relative "simplicity" of hysterectomy procedures, referring to their safety and accessibility, has cured most of the lesions and partly clouded our knowledge regarding the biological potential and natural history of these newly described entities. As a consequence of this situation, our reader will often encounter the wording "uncertain malignant potential", as for some of these rare entities, evidence to establish reliable prognostic variables is still insufficient. We hope this review to be a useful tool to guide pathologists through the diversity and complexity of uterine mesenchymal tumors. As a scientific and medical community, sharing this knowledge will help us to collectively raise our vigilance and awareness by expanding the array of our differential diagnoses. We hope this will lead to more cases being accurately diagnosed, and ultimately, to a deeper knowledge regarding the biological potential and clinical evolution of these tumors. From a therapeutical point of view, the consequences of an accurate diagnosis for the patient are already appreciable through the use of targeted therapy. Examples include: ALK inhibitors in inflammatory myofibroblastic tumor, tyrosine-kinase inhibitors in COL1A::PDGFB rearranged sarcomas or mTOR inhibitors in PEComa.

Identifiants

pubmed: 39424447
pii: S0242-6498(24)00200-1
doi: 10.1016/j.annpat.2024.09.011
pii:
doi:

Types de publication

English Abstract Journal Article

Langues

fre

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Elsevier Masson SAS. All rights reserved.

Auteurs

Quitterie Fontanges (Q)

Département de pathologie, cliniques universitaires de Saint-Luc, Bruxelles, Belgique. Electronic address: qfontanges@hotmail.com.

Nathalène Truffaux (N)

Département de biopathologie, institut Bergonié, Bordeaux, France.

Rihab Azmani (R)

Unité bio-informatique, direction données et santé numérique, institut Bergonié, Bordeaux, France.

Aurélien Bourdon (A)

Unité bio-informatique, direction données et santé numérique, institut Bergonié, Bordeaux, France.

Sabrina Croce (S)

Département de biopathologie, institut Bergonié, Bordeaux, France; Unité Inserm 1312, Bordeaux, France.

Classifications MeSH