Genome-wide loss of heterozygosity predicts aggressive, treatment-refractory behavior in pituitary neuroendocrine tumors

Author:

Lin Andrew L.,Rudneva Vasilisa A.,Richards Allison L.,Zhang Yanming,Woo Hyung Jun,Cohen Marc,Tisnado Jamie,Majd Nazanin,Wardlaw Sharon L.,Page-Wilson Gabrielle,Sengupta Soma,Chow Frances,Goichot Bernard,Ozer Byram H.,Dietrich Jorg,Nachtigall Lisa,Desai Arati,Alano Tina,Ogilive Shahiba,Solit David B.,Bale Tejus A.,Rosenblum Marc,Donoghue Mark T. A.,Geer Eliza B.,Tabar Viviane

Abstract

AbstractPituitary 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.

Funder

National Institutes of Health

Cycle for Survival

Marie-Josée and Henry R. Kravis Center for Molecular Oncology

Publisher

Springer Science and Business Media LLC

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