Chromosomal Alteration Patterns in PitNETs: Massive Losses in Aggressive Tumors.


Journal

Endocrine-related cancer
ISSN: 1479-6821
Titre abrégé: Endocr Relat Cancer
Pays: England
ID NLM: 9436481

Informations de publication

Date de publication:
01 Oct 2024
Historique:
received: 03 04 2024
accepted: 23 10 2024
medline: 23 10 2024
pubmed: 23 10 2024
entrez: 23 10 2024
Statut: aheadofprint

Résumé

The molecular biology of pituitary neuroendocrine tumors (PitNETs) revealed few recurrent mutations and extensive chromosomal alterations, with the latter being the driving force in a subset of these lesions. Addressing the need for an easily applicable diagnostic tool, we conducted a retrospective study of 61 PitNETs operated at a tertiary care center. All cases were subtyped according to the 2022 WHO classification of endocrine tumors. A genome wide NGS panel targeting 1500 single-nucleotide polymorphisms (SNP) was used to classify chromosomal imbalances, loss of heterozygosity and copy number variations in DNA from formalin fixed paraffin embedded tissues. We identified four distinct chromosomal patterns, with varying distribution among different tumor lineages. Forty-two of 61 (69%) PitNETs showed chromosomal alterations. Gonadotroph PitNETs showed mostly quiet genomes. The majority of lactotroph PitNETs (19/20, 95%) were altered, exhibiting a gained genome and a remarkably low recurrence rate. Nine of ten (90%) corticotroph PitNETs harbored chromosomal alterations, of which two aggressive corticotroph tumors and one metastatic corticotroph PitNET showed massive chromosomal losses leading to near haploid/near homozygous genomes. The comparison of the molecular profile of primary and recurrent PitNETs of five patients showed no significant accumulation of alterations over time. A simple genome wide 1500 SNP test can be used in the identification of outspoken aggressive subsets of PitNET by the occurrence of a near haploid/near homozygous genome. Furthermore, the presence of neoplastic tissue in resected material can be potentially confirmed for non-gonadotroph PitNETs in suboptimal histological assessment conditions.

Identifiants

pubmed: 39441837
doi: 10.1530/ERC-24-0070
pii: ERC-24-0070
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Maaia Margo Jentus (MM)

M Jentus, Department of Pathology, Leiden University Medical Center, Leiden, Netherlands.

Leontine Bakker (L)

L Bakker, Department of Medicine, Leiden University Medical Center, Leiden, Netherlands.

Marco Verstegen (M)

M Verstegen, Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands.

Iris Pelsma (I)

I Pelsma, Department of Medicine, Leiden University Medical Center, Leiden, Netherlands.

Tom van Wezel (T)

T van Wezel, Pathology, Leiden University Medical Center, Leiden, Netherlands.

Dina Ruano (D)

D Ruano, Pathology, Leiden University Medical Center, Leiden, Netherlands.

Ellen Kapiteijn (E)

E Kapiteijn, Medical Oncology, Leiden University Medical Center, Leiden, Netherlands.

Stijn Crobach (S)

S Crobach, Department of Pathology, Leiden University Medical Center, Leiden, Netherlands.

Nienke R Biermasz (NR)

N Biermasz, Department of Endocrinology and Metabolic Diseases, Leiden University Medical Center, Leiden, Netherlands.

Hans Morreau (H)

H Morreau, Pathology, Leiden University Medical Center, Leiden, Netherlands.

Classifications MeSH