Circulating cell-free DNA-based biomarkers for prognostication and disease monitoring in adrenocortical carcinoma

Author:

Lippert Juliane12,Smith Gabrielle3,Appenzeller Silke4,Landwehr Laura-Sophie1ORCID,Prete Alessandro356ORCID,Steinhauer Sonja1,Asia Miriam7,Urlaub Hanna1,Elhassan Yasir S37ORCID,Kircher Stefan8,Arlt Wiebke39ORCID,Fassnacht Martin1ORCID,Altieri Barbara1ORCID,Ronchi Cristina L35ORCID

Affiliation:

1. Division of Endocrinology and Diabetes, Department of Medicine, University Hospital, University of Wuerzburg , 97080 Wuerzburg , Germany

2. Institute of Human Genetics, University of Wuerzburg , 97070 Wuerzburg , Germany

3. Institute of Metabolism and System Research, University of Birmingham , B152TT Birmingham , United Kingdom

4. Core Unit Bioinformatics, Comprehensive Cancer Center Mainfranken, University of Wuerzburg , 97070 Wuerzburg , Germany

5. Centre for Endocrinology, Diabetes and Metabolism (CEDAM), Birmingham Health Partners , B152TT Birmingham , United Kingdom

6. NIHR Birmingham Biomedical Research Centre, University of Birmingham, University Hospitals Birmingham NHS Foundation Trust , B152GW Birmingham , United Kingdom

7. Endocrine Department, Queen Elizabeth Hospital Birmingham NHS Trust , B152GW Birmingham , United Kingdom

8. Department of Pathology, University of Wuerzburg , 97080 Wuerzburg , Germany

9. MRC Laboratory of Medical Sciences , W120TN London , United Kingdom

Abstract

Abstract Objective Adrenocortical carcinoma (ACC) is a rare aggressive cancer with heterogeneous behaviour. Disease surveillance relies on frequent imaging, which comes with significant radiation exposure. The aim of the study was to investigate the role of circulating cell-free DNA (ccfDNA)-related biomarkers (BMs) for prognostication and monitoring of ACC. Design and Methods We investigated 34 patients with ACC and 23 healthy subjects (HSs) as controls. Circulating cell-free DNA was extracted by commercial kits and ccfDNA concentrations were quantified by fluorimeter (BM1). Targeted sequencing was performed using a customized panel of 27 ACC-specific genes. Leucocyte DNA was used to discriminate somatic variants (BM2), while tumour DNA was sequenced in 22/34 cases for comparison. Serial ccfDNA samples were collected during follow-up in 19 ACC patients (median period 9 months) and analysed in relationship with standard radiological imaging. Results Circulating cell-free DNA concentrations were higher in ACC than HS (mean ± SD, 1.15 ± 1.56 vs 0.05 ± 0.05 ng/µL, P < .0001), 96% of them being above the cut-off of 0.146 ng/µL (mean HS + 2 SD, positive BM1). At ccfDNA sequencing, 47% of ACC showed at least 1 somatic mutation (positive BM2). A combined ccfDNA-BM score was strongly associated with both progression-free and overall survival (hazard ratio [HR] = 2.63; 95% CI, 1.13-6.13; P = .010, and HR = 5.98; 95% CI, 2.29-15.6; P = .0001, respectively). During disease monitoring, positive BM2 showed the best specificity (100%) and sensitivity (67%) to detect ACC recurrence or progress compared with BM1. Conclusion ccfDNA-related BMs are frequently detected in ACC patients and represent a promising, minimally invasive tool to predict clinical outcome and complement surveillance imaging. Our findings will be validated in a larger cohort of ACCs with long-term follow-up.

Funder

Deutsche Krebshilfe

AMEND

European Reference Network on Rare Endocrine Conditions

National Institute for Health

Care Research

Birmingham Biomedical Research Centre

University Hospitals Birmingham

NHS Foundation Trust

University of Birmingham

HRA Pharma Rare Disease

NIHR

Department of Health and Social Care UK

Publisher

Oxford University Press (OUP)

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