Evidence map›Paper›PMID 39441837›Full record

ArticleEndocrine-related cancer2025

Chromosomal alteration patterns in PitNETs: massive losses in aggressive tumors.

Maaia Margo Jentus, Leontine Bakker, Marco Verstegen, Iris Pelsma, Tom van Wezel, Dina Ruano, Ellen Kapiteijn, Stijn Crobach, Nienke Biermasz, Hans Morreau

Abstract read
In one paragraph

Article in Endocrine-related cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Maaia Margo JentusORCID 0000-0001-5724-7643
Leontine Bakker
Marco Verstegen
Iris Pelsma
Tom van Wezel
Dina Ruano
Ellen Kapiteijn
Stijn Crobach
Nienke Biermasz
Hans Morreau

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 next-generation sequencing panel targeting 1500 single nucleotide polymorphisms (SNPs) 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 PitNETs by the occurrence of a near-haploid/near-homozygous genome. Furthermore, the presence of neoplastic tissue in the resected material can be potentially confirmed for non-gonadotroph PitNETs under suboptimal histological assessment conditions.

Indexed as

Chromosome AberrationsNeuroendocrine TumorsPituitary NeoplasmsAdultAgedDNA Copy Number VariationsFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideRetrospective StudiesYoung Adultchromosome alterationscnLOHCNVcopy number alterationsendocrine pathologyendoreduplicationgenome doublinggenome haploidizationLOHloss of heterozygositymolecular diagnosticsnear-haploid genomenear-haploidizationnear-homozygous genomePitNETPitNETspituitary tumorprolactinomaSNP analysis

Identifiers

PMID39441837
PMCPMC11729050

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.