Eur J Endocrinol. 2024 Jun 25:lvae077. doi: 10.1093/ejendo/lvae077. Online ahead of print.
ABSTRACT
OBJECTIVE: Adrenal cortical carcinoma (ACC) is a rare malignancy with a generally poor but heterogeneous prognosis, especially depending on the tumour stage at diagnosis. Identification of somatic gene alterations combined with clinical/histopathological evaluation of the tumour can help improve prognostication. We applied a simplified targeted-NGS panel to characterise the mutational profiles of ACCs, providing potentially relevant information for better patient management.
DESIGN AND METHODS: Thirty frozen tumour specimens from a local ACC series were retrospectively analysed by a custom-NGS panel (CDKN2A, CTNNB1, DAXX, MED12, NF1, PRKAR1A, RB1, TERT, TP53, ZNRF3) to detect somatic prioritized single-nucleotide variants. This cohort was integrated with 86 patients from the ACC-TCGA series bearing point-mutations in the same genes and their combinations identified by our panel. Primary endpoints of the analysis on the total cohort (113 patients) were overall (OS) and progression-free (PFS) survival, and hazard-ratio (HR) for the different alterations grouped by the signalling pathways/combinations affected.
RESULTS: Different PFS, OS and HR were associated to the different pathways/combinations, being NF1 + TP53 and Wnt/β-catenin + Rb/p53 combined mutations the most deleterious, with a statistical significance for progression HR which is retained only in low-(I/II) stages – NF1+TP53 combination: HR = 2.96[1.01-8.69] and HR = 13.23[3.15-55.61], all and low stages, respectively; Wnt/β-catenin + Rb/p53 combined pathways: HR = 6.47[2.54-16.49] and HR = 16.24[3.87-68.00], all and low-stages, respectively.
CONCLUSIONS: A simplified targeted-NGS approach seems the best routinely applicable first step towards somatic genetic characterisation of ACC for prognostic assessment. This approach proved to be particularly promising in low-stage cases, suggesting the need for more stringent surveillance and personalised treatment.
PMID:38917236 | DOI:10.1093/ejendo/lvae077
