Acta Neuropathologica · 2024 · 28 citations · 45 references
MedicineEndocrinologyGeneticsEndocrine GeneticsEndocrine OncologyNeoplasiaEndocrine Tumor GeneticsEndocrine TumorsNeuroendocrine TumorsNext-generation Sequencing In OncologyPituitary Disorder GeneticsPituitary DisordersCorticotroph Adenoma GeneticsCorticotroph TumorsPituitary Tumor GeneticsPituitary Tumor Molecular BiologyPituitary Tumor Radiation TherapyTumor Mutational Burden Assessment
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 −10 and p = 8.5 × 10 −9 , 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 −4 ). Across the cohort, a higher fraction of LOH was identified in tumors with TP53 mutations ( p = 3.3 × 10 −8 ). 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.
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