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Maharaj A, Buonocore F, Meimaridou E, Ruiz-Babot G, Guasti L, Peng HM, Capper CP, Burgos-Tirado N, Prasad R, Hughes CR, Maudhoo A, Crowne E, Cheetham TD, Brain CE, Suntharalingham JP, Striglioni N, Yuksel B, Gurbuz F, Gupta S, Lindsay R, Couch R, Spoudeas HA, Guran T, Johnson S, Fowler DJ, Conwell LS, McInerney-Leo AM, Drui D, Cariou B, Lopez-Siguero JP, Harris M, Duncan EL, Hindmarsh PC, Auchus RJ, Donaldson MD, Achermann JC, Metherell LA. Predicted Benign and Synonymous Variants in CYP11A1 Cause Primary Adrenal Insufficiency Through Missplicing. J Endocr Soc 2018; 3:201-221. [PMID: 30620006 PMCID: PMC6316989 DOI: 10.1210/js.2018-00130] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 10/25/2018] [Indexed: 01/11/2023] Open
Abstract
Primary adrenal insufficiency (PAI) is a potentially life-threatening condition that can present with nonspecific features and can be difficult to diagnose. We undertook next generation sequencing in a cohort of children and young adults with PAI of unknown etiology from around the world and identified a heterozygous missense variant (rs6161, c.940G>A, p.Glu314Lys) in CYP11A1 in 19 individuals from 13 different families (allele frequency within undiagnosed PAI in our cohort, 0.102 vs 0.0026 in the Genome Aggregation Database; P < 0.0001). Seventeen individuals harbored a second heterozygous rare disruptive variant in CYP11A1 and two had very rare synonymous changes in trans (c.990G>A, Thr330 = ; c.1173C>T, Ser391 =). Although p.Glu314Lys is predicted to be benign and showed no loss-of-function in an Escherichia coli assay system, in silico and in vitro studies revealed that the rs6161/c.940G>A variant, plus the c.990G>A and c.1173C>T changes, affected splicing and that p.Glu314Lys produces a nonfunctional protein in mammalian cells. Taken together, these findings show that compound heterozygosity involving a relatively common and predicted "benign" variant in CYP11A1 is a major contributor to PAI of unknown etiology, especially in European populations. These observations have implications for personalized management and demonstrate how variants that might be overlooked in standard analyses can be pathogenic when combined with other very rare disruptive changes.
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Affiliation(s)
- Avinaash Maharaj
- Centre for Endocrinology, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Federica Buonocore
- Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Eirini Meimaridou
- Centre for Endocrinology, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Gerard Ruiz-Babot
- Centre for Endocrinology, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Leonardo Guasti
- Centre for Endocrinology, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Hwei-Ming Peng
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan,Department of Pharmacology, University of Michigan, Ann Arbor, Michigan
| | - Cameron P Capper
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan,Department of Pharmacology, University of Michigan, Ann Arbor, Michigan
| | - Neikelyn Burgos-Tirado
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan,Department of Pharmacology, University of Michigan, Ann Arbor, Michigan
| | - Rathi Prasad
- Centre for Endocrinology, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Claire R Hughes
- Centre for Endocrinology, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Ashwini Maudhoo
- Centre for Endocrinology, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Elizabeth Crowne
- Department of Paediatric Endocrinology and Diabetes, Bristol Royal Hospital for Children, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom
| | - Timothy D Cheetham
- Institute of Genetic Medicine, Newcastle University, Newcastle, United Kingdom
| | - Caroline E Brain
- Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Jenifer P Suntharalingham
- Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Niccolò Striglioni
- Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Bilgin Yuksel
- Department of Pediatric Endocrinology and Diabetes, Cukurova University, Adana, Turkey
| | - Fatih Gurbuz
- Department of Pediatric Endocrinology and Diabetes, Cukurova University, Adana, Turkey
| | - Sangay Gupta
- Department of Pediatrics, Hull Royal Infirmary, Hull, United Kingdom
| | - Robert Lindsay
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Robert Couch
- Division of Pediatric Endocrinology, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Helen A Spoudeas
- Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Tulay Guran
- Department Pediatric Endocrinology and Diabetes, Marmara University, Istanbul, Turkey
| | - Stephanie Johnson
- Lady Cilento Children’s Hospital, Brisbane, Queensland, Australia,University of Queensland, Brisbane, Queensland, Australia
| | - Dallas J Fowler
- Lady Cilento Children’s Hospital, Brisbane, Queensland, Australia,University of Queensland, Brisbane, Queensland, Australia
| | - Louise S Conwell
- Lady Cilento Children’s Hospital, Brisbane, Queensland, Australia,University of Queensland, Brisbane, Queensland, Australia
| | - Aideen M McInerney-Leo
- Institute of Health and Biomedical Innovation, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Delphine Drui
- Department of Endocrinology, l’Institut du Thorax, Centre Hospitalier Universitaire de Nantes, Nantes, France
| | - Bertrand Cariou
- INSERM UMR 1087, CNRS UMR 6291, l'Institut du Thorax, Université de Nantes, Nantes, France
| | - Juan P Lopez-Siguero
- Pediatric Endocrinology Unit, Children’s Hospital, Institute of Biomedical Research in Malaga, Málaga, Spain
| | - Mark Harris
- Lady Cilento Children’s Hospital, Brisbane, Queensland, Australia,University of Queensland, Brisbane, Queensland, Australia
| | - Emma L Duncan
- Institute of Health and Biomedical Innovation, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia,Department of Endocrinology and Diabetes, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Peter C Hindmarsh
- Department of Paediatrics, University College London Hospitals, London, United Kingdom
| | - Richard J Auchus
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan,Department of Pharmacology, University of Michigan, Ann Arbor, Michigan
| | - Malcolm D Donaldson
- Section of Child Health, Glasgow University School of Medicine, Glasgow, United Kingdom
| | - John C Achermann
- Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Louise A Metherell
- Centre for Endocrinology, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom,Correspondence: Louise A. Metherell, PhD, Centre for Endocrinology, William Harvey Research Institute, John Vane Science Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, United Kingdom. E-mail:
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Capper CP, Liu J, McIntosh LR, Larios JM, Johnson MD, Hollenberg PF, Osawa Y, Auchus RJ, Rae JM. Functional characterization of the G162R and D216H genetic variants of human CYP17A1. J Steroid Biochem Mol Biol 2018; 178:159-166. [PMID: 29229304 PMCID: PMC5835412 DOI: 10.1016/j.jsbmb.2017.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 11/30/2017] [Accepted: 12/08/2017] [Indexed: 10/18/2022]
Abstract
Cytochrome P450 17A1 (CYP17A1) is a dual-function enzyme catalyzing reactions necessary for cortisol and androgen biosynthesis. CYP17A1 is a validated drug target for prostate cancer as CYP17A1 inhibition significantly reduces circulating androgens and improves survival in castration-resistant prostate cancer. Germline CYP17A1 genetic variants with altered CYP17A1 activity manifesting as various endocrinopathies are extremely rare; however, characterizing these variants provides critical insights into CYP17A1 protein structure and function. By querying the dbSNP online database and publically available data from the 1000 genomes project (http://browser.1000genomes.org), we identified two CYP17A1 nonsynonymous genetic variants with unknown consequences for enzymatic activity and stability. We hypothesized that the resultant amino acid changes would alter CYP17A1 stability or activity. To test this hypothesis, we utilized a HEK-293T cell-based expression system to characterize the functional consequences of two CYP17A1 variants, D216H (rs200063521) and G162R (rs141821705). Cells transiently expressing the D216H variant demonstrate a selective impairment of 16α-hydroxyprogesterone synthesis by 2.1-fold compared to wild-type (WT) CYP17A1, while no effect on 17α-hydroxyprogesterone synthesis was observed. These data suggest that substrate orientations in the active site might be altered with this amino acid substitution. In contrast, the G162R substitution exhibits decreased CYP17A1 protein stability compared to WT with a near 70% reduction in protein levels as determined by immunoblot analysis. This variant is preferentially ubiquitinated and degraded prematurely, with an enzyme half-life calculated to be ∼2.5 h, and proteasome inhibitor treatment recovers G162R protein expression to WT levels. Together, these data provide new insights into CYP17A1 structure-function and stability mechanisms.
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Affiliation(s)
- C P Capper
- Department of Pharmacology, University of Michigan, Ann Arbor, MI, USA; Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - J Liu
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - L R McIntosh
- Department of Pharmacology, University of Michigan, Ann Arbor, MI, USA
| | - J M Larios
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - M D Johnson
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, D.C., USA
| | - P F Hollenberg
- Department of Pharmacology, University of Michigan, Ann Arbor, MI, USA
| | - Y Osawa
- Department of Pharmacology, University of Michigan, Ann Arbor, MI, USA
| | - R J Auchus
- Department of Pharmacology, University of Michigan, Ann Arbor, MI, USA; Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
| | - J M Rae
- Department of Pharmacology, University of Michigan, Ann Arbor, MI, USA; Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
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Alzahrani AS, Alswailem MM, Murugan AK, Alhomaidah DS, Capper CP, Auchus RJ, Qasem E, Alzahrani OS, Al-Sagheir A, Bin-Abbas B. A high rate of novel CYP11B1 mutations in Saudi Arabia. J Steroid Biochem Mol Biol 2017; 174:217-224. [PMID: 28962970 DOI: 10.1016/j.jsbmb.2017.09.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 09/21/2017] [Accepted: 09/24/2017] [Indexed: 11/19/2022]
Abstract
Despite ethnic variation, 11 β-hydroxylase deficiency (11β-OHD) has generally been considered the second most common subtype of congenital adrenal hyperplasia (CAH). We report a high rate of novel mutations in this gene (CYP11B1) in patients from Saudi Arabia. We studied 16 patients with 11β-OHD from 8 unrelated families. DNA was isolated from peripheral blood. The 9 exons and exon-intron boundaries of CYP11B1 were PCR-amplified and directly sequenced. The novel mutations were functionally characterized using subcloning, in vitro mutagenesis, cell transfection and 11-deoxycortisol: cortisol conversion assays. Six mutations were found in these 8 unrelated families. Three of these mutations are completely novel and two have just been recently described as novel mutations from the same population. These include a single nucleotide insertion mutation in codon 18 (c.53_54insT) leading to frameshift and truncation in 4 siblings, a novel mutation (c.1343G>C, p.R448P) in 3 unrelated families, a novel mutation (c.1394A>T, p.H465L) in 2 siblings, a novel mutation (c.617G>T, p.G206V) in 1 patient, and a recently described non-sense novel mutation (c.780G>A, p.W260X) in another patient. Out of the 6 mutations described in this report, only one mutation (p.Q356X) was reported previously. In vitro functional testing of the 3 missense and nonsense novel mutations revealed complete loss of the 11 hydroxylase activity. We conclude that 11 β-OHD in Saudi Arabia has a unique genotype with a high rate of novel mutations. The novel p. R448P mutation is the most common mutation in this highly inbred population.
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Affiliation(s)
- Ali S Alzahrani
- Department of Molecular Oncology, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia; Department of Medicine, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
| | - Meshael M Alswailem
- Department of Molecular Oncology, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia
| | | | - Doha S Alhomaidah
- Department of Pediatrics, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia
| | - Cameron P Capper
- Departments of Pharmacology & Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Richard J Auchus
- Departments of Pharmacology & Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ebtesam Qasem
- Department of Molecular Oncology, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia
| | - Ohoud S Alzahrani
- Department of Pediatrics, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia
| | - Afaf Al-Sagheir
- Department of Pediatrics, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia
| | - Bassam Bin-Abbas
- Department of Pediatrics, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia
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Capper CP, Liu J, McIntosh L, Larios JM, Johnson MD, Hollenberg PF, Auchus RJ, Rae JM. Abstract 1863: Using a cell based model system to characterize CYP17A1 genetic variants. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-1863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Androgen and estrogen steroid hormones are potent growth stimuli for both prostate and breast cancer. Cytochrome P450 17A1 (CYP17A1), a P450 monooxygenase, is required for the synthesis of these hormones and is the target of abiraterone, a drug approved for the treatment of castration-resistant prostate cancer. CYP17A1 catalyzes the 17α hydroxylation of the C21 steroids pregnenolone and progesterone and has a lyase activity that cleaves the C17-20 bond to produce the sex steroid precursors, dehydroepiandrosterone (DHEA) and androstenedione. We identified twelve nonsynonymous single nucleotide polymorphisms (SNPs) in CYP17A1 and hypothesized that the resultant amino acid changes might alter hydroxylase and lyase activity and thereby impact steroid hormone synthesis. This hypothesis was examined by transiently transfecting HEK293T cells, with either wild-type or polymorphic CYP17A1 constructs. Cells were treated for 3 hours with tritiated ([3H]) progesterone and the production of hydroxylated (OH) metabolites analyzed by HPLC. In cells transfected with wild-type CYP17A1, 8.11% and 55.5% of the [3H]-progesterone was recovered as 16-OH progesterone, and 17-OH progesterone, respectively. Using the ratio of 17-OH progesterone to 16-OH progesterone as a quantitative measure of CYP17A1 enzyme activity, wild-type CYP17A1 yields a ratio of 6.9+/- 0.05. In contrast, the SNP (rs200063521) which causes an aspartic acid to histidine amino acid change at residue 216, results in a 2.2 fold decrease in 16OH-progesterone synthesis compared to wild-type suggesting altered hydroxylase function. CYP17A1 protein expression, as determined by western blot analysis, suggests that a glycine to arginine conversion at residue 162 (rs141821705) results in decreased protein levels. Studies to further characterize the CYP17A1 variants are underway. This work could lead to a better understanding of the role of CYP17A1 SNPs in cancer progression and response to CYP17A1 targeted therapies.
Citation Format: Cameron P. Capper, Jiayan Liu, Lauren McIntosh, José M. Larios, Michael D. Johnson, Paul F. Hollenberg, Richard J. Auchus, James M. Rae. Using a cell based model system to characterize CYP17A1 genetic variants. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1863. doi:10.1158/1538-7445.AM2015-1863
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