Targeted Next Generation Sequencing molecular profiling and its clinical application in adrenocortical cancer

Author:

Cioppi Francesca12,Cantini Giulia234,Ercolino Tonino5,Chetta Massimiliano6,Zanatta Lorenzo235,Nesi Gabriella7,Mannelli Massimo234,Maggi Mario2345,Canu Letizia2345ORCID,Luconi Michaela234ORCID

Affiliation:

1. Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy

2. European Network for the Study of Adrenal Tumours (ENSAT) Centre of Excellence, University of Florence, 50139 Florence, Italy

3. Department of Experimental and Clinical Biomedical Sciences, Endocrinology Section, University of Florence , 50139 Florence , Italy

4. Centro di Ricerca e Innovazione sulle Patologie Surrenaliche, AOU Careggi , 50139 Florence , Italy

5. Azienda Ospedaliero-Universitaria Careggi, (AOUC) , 50139 Florence , Italy

6. Medical Genetics, Azienda Ospedaliera di Rilievo Nazionale (A.O.R.N.) Cardarelli, Padiglione , 80131 Naples , Italy

7. Department of Health Sciences, University of Florence , 50139 Florence , Italy

Abstract

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-Next-Generation Sequencing (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 prioritised 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 survival (OS) and progression-free survival (PFS), 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.

Funder

Italian Ministry of University and Research

PRIN program

Progetti di Ricerca di Rilevante Interesse Nazionale 2022

Associazione Italiana Ricerca sul Cancro AIRC

Publisher

Oxford University Press (OUP)

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