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Genome-wide loss of heterozygosity predicts aggressive, treatment-refractory behavior in pituitary neuroendocrine tumors.
- Source :
-
Acta neuropathologica [Acta Neuropathol] 2024 May 17; Vol. 147 (1), pp. 85. Date of Electronic Publication: 2024 May 17. - Publication Year :
- 2024
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Abstract
- Pituitary neuroendocrine tumors (PitNETs) exhibiting aggressive, treatment-refractory behavior are the rare subset that progress after surgery, conventional medical therapies, and an initial course of radiation and are characterized by unrelenting growth and/or metastatic dissemination. Two groups of patients with PitNETs were sequenced: a prospective group of patients (n = 66) who consented to sequencing prior to surgery and a retrospective group (n = 26) comprised of aggressive/higher risk PitNETs. A higher mutational burden and fraction of loss of heterozygosity (LOH) was found in the aggressive, treatment-refractory PitNETs compared to the benign tumors (p = 1.3 × 10 <superscript>-10</superscript> and p = 8.5 × 10 <superscript>-9</superscript> , respectively). Within the corticotroph lineage, a characteristic pattern of recurrent chromosomal LOH in 12 specific chromosomes was associated with treatment-refractoriness (occurring in 11 of 14 treatment-refractory versus 1 of 14 benign corticotroph PitNETs, p = 1.7 × 10 <superscript>-4</superscript> ). Across the cohort, a higher fraction of LOH was identified in tumors with TP53 mutations (p = 3.3 × 10 <superscript>-8</superscript> ). A machine learning approach identified loss of heterozygosity as the most predictive variable for aggressive, treatment-refractory behavior, outperforming the most common gene-level alteration, TP53, with an accuracy of 0.88 (95% CI: 0.70-0.96). Aggressive, treatment-refractory PitNETs are characterized by significant aneuploidy due to widespread chromosomal LOH, most prominently in the corticotroph tumors. This LOH predicts treatment-refractoriness with high accuracy and represents a novel biomarker for this poorly defined PitNET category.<br /> (© 2024. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1432-0533
- Volume :
- 147
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Acta neuropathologica
- Publication Type :
- Academic Journal
- Accession number :
- 38758238
- Full Text :
- https://doi.org/10.1007/s00401-024-02736-8