Back

Germline mutations in young-onset sporadic pituitary macroadenomas: a multigene panel analysis

Gaspar, L. M.; Goncalves, C. I.; Nobre, E. L.; Fonseca, F.; Amaral, C.; Duarte, J. S.; Raimundo, L.; Saraiva, C.; Cortez, L.; Marques, O.; Lemos, M. C.

2024-06-04 endocrinology
10.1101/2024.06.02.24308129 medRxiv
Show abstract

ObjectiveMutations in several genes have been associated with familial forms of pituitary adenomas. Sporadic pituitary adenomas (i.e. with no family history or coexistent endocrine tumours) are also occasionally found to result from germline mutations in these genes, especially in young patients with larger tumours. The aim of this study was to determine the frequency of germline mutations in patients with young-onset sporadic pituitary macroadenomas. MethodsA cohort of 225 Portuguese patients with sporadic pituitary macroadenomas diagnosed before the age of 40 years was studied by whole exome sequencing (WES) followed by the analysis of a virtual panel of 29 genes that have been associated with predisposition to pituitary adenomas. ResultsPathogenic and likely pathogenic variants were identified in 16 (7.1%) of patients. The affected genes were AIP (n=4), PMS2 (n=4), MEN1 (n=2), VHL (n=2), CDH23 (n=1), MSH2 (n=1), SDHB (n=1), and TP53 (n=1). In patients diagnosed under the ages of 30 and 18 years, the frequency of mutations increased to 9.0% and 12.0%, respectively. ConclusionThis is so far the largest multigene analysis of patients with young-onset sporadic pituitary macroadenomas. We confirmed the AIP as the most frequently involved gene, but also uncovered rarer genetic causes of pituitary adenomas, including the first independent confirmation of a role of the CDH23 gene. The results may contribute to a better understanding of the genetic landscape of these tumours and help to decide which genes to include in the genetic screening of patients with young-onset pituitary macroadenomas.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
The Journal of Clinical Endocrinology & Metabolism
35 papers in training set
Top 0.1%
23.0%
2
Journal of Medical Genetics
28 papers in training set
Top 0.1%
14.7%
3
Journal of the Endocrine Society
11 papers in training set
Top 0.1%
12.6%
50% of probability mass above
4
Frontiers in Endocrinology
53 papers in training set
Top 0.2%
7.3%
5
Scientific Reports
3102 papers in training set
Top 13%
7.0%
6
American Journal of Medical Genetics Part A
17 papers in training set
Top 0.1%
4.4%
7
PLOS ONE
4510 papers in training set
Top 51%
1.8%
8
Biology
43 papers in training set
Top 0.7%
1.7%
9
Nature Communications
4913 papers in training set
Top 50%
1.7%
10
The Journal of Steroid Biochemistry and Molecular Biology
10 papers in training set
Top 0.1%
1.7%
11
npj Genomic Medicine
33 papers in training set
Top 0.4%
1.5%
12
Human Brain Mapping
295 papers in training set
Top 3%
1.4%
13
eLife
5422 papers in training set
Top 48%
1.3%
14
Orphanet Journal of Rare Diseases
18 papers in training set
Top 0.5%
1.0%
15
Neuro-Oncology
30 papers in training set
Top 0.6%
0.9%
16
Pigment Cell & Melanoma Research
11 papers in training set
Top 0.1%
0.8%
17
Journal of Clinical Medicine
91 papers in training set
Top 6%
0.8%
18
Frontiers in Physiology
93 papers in training set
Top 6%
0.7%
19
The Journal of Pediatrics
15 papers in training set
Top 0.6%
0.7%
20
International Journal of Molecular Sciences
453 papers in training set
Top 16%
0.7%
21
European Journal of Human Genetics
49 papers in training set
Top 2%
0.7%
22
Human Mutation
29 papers in training set
Top 0.9%
0.5%
23
European Respiratory Journal
54 papers in training set
Top 2%
0.5%
24
International Journal of Cancer
42 papers in training set
Top 2%
0.5%
25
PeerJ
261 papers in training set
Top 19%
0.5%
26
Clinical Proteomics
10 papers in training set
Top 0.3%
0.5%