Increased prevalence of germline pathogenic CHEK2 variants in individuals with pituitary adenomas.

cell cycle checkpoint kinase 2 (CHEK2) pituitary adenomas whole exome sequencing

Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
23 Apr 2024
Historique:
received: 22 11 2023
revised: 12 04 2024
accepted: 15 04 2024
medline: 23 4 2024
pubmed: 23 4 2024
entrez: 23 4 2024
Statut: aheadofprint

Résumé

CHEK2 is a cell cycle checkpoint regulator gene with a long-established role as a clinically relevant, moderate risk breast cancer predisposition gene, with greater risk ascribed to truncating variants than missense variants. We assessed 165 individuals with pituitary adenomas for CHEK2 variants. The study consisted of a primary cohort of 29 individuals who underwent germline and tumour whole exome sequencing, and a second, independent cohort of 136 individuals who had a targeted next-generation sequencing panel performed on both germline and tumour DNA (n=52) or germline DNA alone (n=84). We identified rare, coding, non-synonymous germline CHEK2 variants amongst 3/29 (10.3%) patients in our primary cohort and 5/165 (3.0%) patients overall, with affected patients having a range of hormone secretion types (prolactinoma, thyrotrophinoma, somatotrophinoma and non-functioning pituitary adenoma). No somatic variants were identified. Two variants were definitive null variants (c.1100delC, c.444+1G>A), classified as pathogenic. Two variants were missense variants (p.Asn186His, p.Thr476Met), classified as likely pathogenic. Even when considering the null variants only, the rate of CHEK2 variants was higher in our cohort compared to national control data (1.8% vs. 0.5%, P=0.049). This is the first study to suggest a role for the breast cancer predisposition gene, CHEK2, in pituitary tumorigenesis, with pathogenic/likely pathogenic variants found in 3% of patients with pituitary adenomas. As pituitary adenomas are relatively common and typically lack classical autosomal dominant family histories, risk alleles - such as these variants found in CHEK2 - might be a significant contributor to pituitary adenoma risk in the general population.

Identifiants

pubmed: 38651569
pii: 7656517
doi: 10.1210/clinem/dgae268
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society.

Auteurs

Sunita M C De Sousa (SMC)

Endocrine & Metabolic Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
South Australian Adult Genetics Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.

Ann McCormack (A)

Department of Endocrinology, St Vincent's Hospital, Sydney, NSW, Australia.
Garvan Institute of Medical Research, Sydney, NSW, Australia.
St Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia.

Andreas Orsmond (A)

Garvan Institute of Medical Research, Sydney, NSW, Australia.

Angeline Shen (A)

Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.

Christopher J Yates (CJ)

Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.

Roderick Clifton-Bligh (R)

Cancer Genetics Laboratory, Kolling Institute, Royal North Shore Hospital, Sydney, New South Wales, Australia.
The University of Sydney, Sydney, New South Wales, Australia.
Department of Endocrinology, Royal North Shore Hospital, Sydney, New South Wales, Australia.

Stephen Santoreneos (S)

Department of Neurosurgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia.

James King (J)

Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia.

Jinghua Feng (J)

Department of Genetics and Molecular Pathology, Centre for Cancer Biology, an SA Pathology and University of South Australia alliance, Adelaide, South Australia, Australia.
ACRF Cancer Genomics Facility, Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, South Australia, Australia.

John Toubia (J)

Department of Genetics and Molecular Pathology, Centre for Cancer Biology, an SA Pathology and University of South Australia alliance, Adelaide, South Australia, Australia.
ACRF Cancer Genomics Facility, Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, South Australia, Australia.

David J Torpy (DJ)

Endocrine & Metabolic Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.

Hamish S Scott (HS)

Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Department of Genetics and Molecular Pathology, Centre for Cancer Biology, an SA Pathology and University of South Australia alliance, Adelaide, South Australia, Australia.
ACRF Cancer Genomics Facility, Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, South Australia, Australia.

Classifications MeSH