A Common Variant in the CDK8 Gene Is Associated with Sporadic Pituitary Adenomas in the Portuguese Population: A Case-Control Study
by
, , , , , and
Leonor M. Gaspar
1,
Catarina I. Gonçalves
1,
Fernando Fonseca
2,
Davide Carvalho
3,
Luísa Cortez
2,
Ana Palha
2,
Inês F. Barros
4,
Ema Nobre
5,
João S. Duarte
6,
Cláudia Amaral
7,
Maria J. Bugalho
5
,
Olinda Marques
4,
Bernardo D. Pereira
8 and
Manuel C. Lemos
1,* 1
CICS-UBI, Health Sciences Research Centre, University of Beira Interior, 6200-506 Covilhã, Portugal
2
Serviço de Endocrinologia, Hospital de Curry Cabral, Centro Hospitalar Universitário Lisboa Central, 1050-099 Lisboa, Portugal
3
Serviço de Endocrinologia, Diabetes e Metabolismo, Centro Hospitalar de São João, Faculdade de Medicina e Instituto de Investigação e Inovação em Saúde da Universidade do Porto, 4200-319 Porto, Portugal
4
Serviço de Endocrinologia, Hospital de Braga, 4710-243 Braga, Portugal
5
Serviço de Endocrinologia, Diabetes e Metabolismo, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, 1649-028 Lisboa, Portugal
6
Serviço de Endocrinologia, Hospital de Egas Moniz, Centro Hospitalar Lisboa Ocidental, 1349-019 Lisboa, Portugal
7
Serviço de Endocrinologia, Hospital de Santo António, Centro Hospitalar Universitário do Porto, 4099-001 Porto, Portugal
8
Serviço de Endocrinologia e Nutrição, Hospital do Divino Espírito Santo de Ponta Delgada, 9500-782 Ponta Delgada, Portugal
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(19), 11749; https://doi.org/10.3390/ijms231911749
Submission received: 2 September 2022
/
Revised: 21 September 2022
/
Accepted: 1 October 2022
/
Published: 4 October 2022
(This article belongs to the Special Issue Pathophysiology of Pituitary Tumors and the Role of Pituitary Hormones in Cancer)
Abstract
:The majority of pituitary adenomas occur in a sporadic context, and in the absence of known genetic predisposition. Three common variants at the NEBL (rs2359536), PCDH15 (rs10763170) and CDK8 (rs17083838) loci were previously associated with sporadic pituitary adenomas in the Han Chinese population, but these findings have not yet been replicated in any other population. The aim of this case-control study was to assess if these variants are associated with susceptibility to sporadic pituitary adenomas in the Portuguese population. Genotype and allele frequencies were determined in 570 cases and in 546 controls. The CDK8 rs17083838 minor allele (A allele) was significantly associated with sporadic pituitary adenomas, under an additive (odds ratio (OR) 1.73, 95% confidence interval (CI) 1.19–2.50, p = 0.004) and dominant (OR 1.82, 95% CI 1.24–2.68, p = 0.002) inheritance model. The NEBL rs2359536 and PCDH15 rs10763170 variants were not associated with the overall risk for the disease, although a borderline significant association was observed between the PCDH15 rs10763170 minor allele (T allele) and somatotrophinomas (dominant model, OR 1.55, 95% CI 1.02–2.35, p = 0.035). These findings suggest that the CDK8 rs17083838 variant, and possibly the PCDH15 rs10763170 variant, may increase susceptibility to sporadic pituitary adenomas in the Portuguese population.
1. Introduction
Pituitary adenomas, also referred to as pituitary neuroendocrine tumors (PitNETs), are the most common intracranial neoplasias [1]. Although usually benign, pituitary adenomas are associated with increased morbidity and mortality via hormone overproduction and mass effects resulting from compression of structures adjacent to the tumor [2]. Depending on the hormone expressed by the tumor cells, pituitary adenomas can be divided into non-functioning adenomas, prolactinomas, somatotrophinomas, corticotrophinomas, gonadotrophinomas and thyrotrophinomas [2].
The mechanisms underlying pituitary tumorigenesis are still largely unknown. A small proportion of tumors (~5%) are due to germline mutations, as part of syndromic diseases or as familial isolated pituitary adenomas [3,4]. These tumors are usually more aggressive, may present at a younger age, have a larger tumor size, show increased invasiveness, and are often resistant to standard treatments [5]. However, the vast majority of pituitary adenomas (~95%) occur in a sporadic context, in the absence of known genetic predisposition, and are likely to occur due to acquired somatic and epigenetic mutations [6].
A genome-wide association study (GWAS) in the Han Chinese population [7] identified single nucleotide polymorphisms (SNPs) at three independent loci (rs2359536 at 10p12.31, rs10763170 at 10q21.1 and rs17083838 at 13q12.13) that were significantly associated with sporadic pituitary adenomas. The genes around these susceptibility loci, namely the nebulette (NEBL), protocadherin-related 15 (PCDH15) and cyclin dependent kinase 8 (CDK8), are involved in cell–cell adhesion and regulation of cell cycle progression [7]. However, it is still uncertain if and how these loci are involved in pituitary tumorigenesis. Although the association with these variants was highly significant in the Han Chinese population, these results have not yet been confirmed in any other population.
The aim of this study was to investigate whether the NEBL rs2359536, PCDH15 rs10763170 and CDK8 rs17083838 SNPs are associated with the susceptibility to sporadic pituitary adenomas in the Portuguese population.
2. Results
The NEBL rs2359536, PCDH15 rs10763170 and CDK8 rs17083838 genotype and allele frequencies observed in the cases and controls are presented in Table 1. The observed genotype frequencies did not deviate from the Hardy–Weinberg equilibrium (data not shown), which would otherwise suggest selection bias, population stratification or genotyping errors. The CDK8 rs17083838 minor allele (A allele) was significantly associated with overall sporadic pituitary adenomas under an additive (odds ratio (OR) 1.73, 95% confidence interval (CI) 1.19–2.50, p = 0.004) and dominant (OR 1.82, 95% CI 1.24–2.68, p = 0.002) inheritance model (Table 1). These associations remained statistically significant, even after applying the conservative Bonferroni correction (p < 0.0167). For the NEBL rs2359536 and PCDH15 rs10763170 SNPs, no significant differences between cases and controls were observed.
In the analysis based on tumor subtype, the PCDH15 rs10763170 minor allele (T allele) was associated with somatotrophinomas under a dominant inheritance model (OR 1.55, 95% CI 1.02–2.35, p = 0.035) (Table 2); however, this association was no longer significant after applying the Bonferroni correction. For the remaining tumor subtypes and sizes, no associations were observed (data not shown).
The combined number of NEBL, PCDH15 and CDK8 minor (risk) alleles that each individual harbored was not significantly associated with the risk of pituitary adenomas (Table 3).
3. Discussion
This case-control study revealed an increased frequency of the CDK8 rs17083838 minor allele (A allele) in patients diagnosed with sporadic pituitary adenomas. Individuals with genotypes containing at least one minor (A) allele were associated with 1.82 times greater risk for sporadic pituitary adenomas, compared to individuals with the homozygous GG genotype (dominant inheritance model, OR 1.82, 95% CI 1.24–2.68, p = 0.002). These results suggest that this genetic variant, which was identified as a risk locus in a previous GWAS [7], is also a susceptibility variant for sporadic pituitary adenomas in the Portuguese population.
To date, there are no functional studies of the rs17083838 polymorphism, so it remains unclear by which mechanism this polymorphism influences the pathogenesis of pituitary adenomas. The rs17083838 polymorphism is located in the first intron of the CDK8 gene, which is overexpressed in several cancers [8]. This gene encodes cyclin-dependent kinase 8 (CDK8), which belongs to the cyclin-dependent protein family that includes important regulators involved in cell cycle progression [8]. The CDK8 protein interacts with E2F1, protecting β-catenin from the inhibitory effect of E2F1, enabling its interaction with Wnt proteins [9]. The Wnt/β-catenin signaling pathway is important during development, regulates several aspects of cell proliferation, differentiation, and cell survival [10], and has been shown to be up-regulated in pituitary adenomas [11,12]. Furthermore, studies of animal models of pituitary tumors have shown that several target genes of CDK8 are differentially expressed in these tumors, suggesting a role of this kinase in pituitary tumorigenesis [13].
The NEBL rs2359536 (T > C) and PCDH15 rs10763170 (C > T) variants were not found to be associated with overall sporadic pituitary adenomas in our study, despite their reported association in the Han Chinese population [7]. However, the PCDH15 rs10763170 minor allele (T allele) presented a near-significant association with somatotrophinomas (dominant inheritance model, OR 1.55, 95% CI 1.02–2.35, p = 0.035). The rs10763170 polymorphism is located upstream of the PCDH15 gene that encodes protocadherin-related 15. This protein is a member of the cadherin superfamily that is involved in cell–cell adhesion, morphogenesis, cell recognition and signaling [14], and in the development and progression of many cancers [15]. PCDH15 is best known for its role in hereditary hearing loss (Usher syndrome type 1F) [16]. However, reduced expression of PCDH15 has been shown to enhance oligodendrocyte progenitor cell proliferation and progression of gliomas [17]. Most importantly, PCDH15 has been shown to interact with cadherin-related 23 (CDH23) [18], which has been implicated in sporadic and familial forms of pituitary tumors [19]. Further studies are needed to determine whether PCDH15 is also involved in pituitary tumorigenesis.
The exact mechanisms through which these SNPs contribute to the tumorigenesis of pituitary adenomas are still unknown. These genetic variants are located in non-coding regions, and it is presently unknown if they have a direct effect on gene expression or if they are in linkage disequilibrium with other nearby functional variants. Additional studies will be needed, to determine the functional consequences of these SNPs.
Our results partially validate those obtained by the GWAS in the Han Chinese population [7]. It remains to be determined if the observed associations can also be replicated in other European and non-European populations, with different environmental exposures and genetic profiles. In addition, studies with larger sample sizes may help to clarify if the associations are stronger with specific tumor subtypes.
In conclusion, our data suggest that the CDK8 rs17083838 variant, and possibly the PCDH15 rs10763170 variant, may increase susceptibility to sporadic pituitary adenomas in the Portuguese population. These findings may contribute to a better understanding of the genetic etiology of sporadic pituitary adenomas.
4. Materials and Methods
4.1. Subjects
The study was designed as a retrospective case-control association study. Cases comprised 570 patients with sporadic pituitary adenomas (275 males and 295 females; mean age at diagnosis ± standard deviation (SD) = 43.5 ± 16.3 years), recruited consecutively at endocrinology outpatient clinics in Portugal. Tumor classification was based on histological examination or, in the case of prolactinomas, by clinical, hormonal and radiological examination. Tumor subtypes were somatotrophinoma (n = 161), prolactinoma (n = 154), non-functioning (n = 138), gonadotrophinoma (n = 40), corticotrophinoma (n = 35), thyrotrophinoma (n = 4), mixed (n = 28) and undetermined (n = 10). Tumor size was based on the largest diameter, and was classified as macroadenoma (≥1 cm, n = 483), microadenoma (<1 cm, n = 65) and undetermined (n = 22). The control group comprised 546 unrelated healthy blood donors (264 males and 282 females; mean age ± SD = 38.1 ± 12.1 years), recruited at blood donation centers, with no known clinical history of pituitary disease, and originating from the same geographical regions as the patients. All the subjects were Caucasian Portuguese. Written informed consent was obtained from all the subjects, and the study was approved by the Ethics Committee of the Faculty of Health Sciences, University of Beira Interior (Ref: CE-UBI-Pj-2018-027).
4.2. Genetic Studies
The NEBL rs2359536, PCDH15 rs10763170 and CDK8 rs17083838 were selected for this study, as they had been demonstrated to be among those variants most strongly associated with sporadic pituitary adenomas in a previous GWAS [7]. Minor allele frequencies (MAFs) reported in the Genome Aggregation Database (gnomAD) [20] for Non-Finnish Europeans were 0.337 (rs2359536 allele C), 0.409 (rs10763170 allele T) and 0.059 (rs17083838 allele A), respectively. Venous blood samples were collected from each subject, and genomic deoxyribonucleic acid (DNA) was extracted from peripheral blood leukocytes, using the previously described methods [21]. Genotyping of the rs2359536, rs10763170 and rs17083838 SNPs was performed by a SNP genotyping assay with commercially available TaqMan probes (Assay ID: C-1974242-10 for rs2359536; Assay ID: C-411660-10 for rs10763170 and Assay ID: C-34697393-10 for rs17083838; Thermo Fisher Scientific, Waltham, MA, USA), according to the manufacturer’s instructions. The genotyping methods were validated by DNA sequencing of representative samples for each genotype (STAB VIDA, Caparica, Portugal; and ABI 3730XL, Applied Biosystems; Thermo Fisher Scientific, Waltham, MA, USA).
4.3. Statistical Analysis
The genotype and allele frequencies in the cases and controls were compared by chi-square tests and logistic regression analysis, to obtain odds ratios (ORs), 95% confidence intervals (CIs) and two-tailed p-values, using the SNP association tool SNPStats [22]. The analysis was adjusted for sex and age, to account for any effect of these variables on genotype and allele frequencies. The Hardy–Weinberg equilibrium of cases and controls was assessed by comparing the observed and allele-based expected genotype frequencies using SNPStats [22]. The best model of inheritance for each SNP (dominant, recessive, codominant or additive) was selected using Akaike’s Information Criterion (AIC) [22]. Subgroup analysis was carried out to assess the effect of the three polymorphisms on tumor subtype (each subtype vs. all others) and size (<1 vs. ≥1 cm of diameter). To determine the cumulative effect of minor (risk) alleles, each individual was classified as having zero, one or two minor alleles for each of the three SNPs. The total number of minor alleles per individual (ranging from a minimum of zero to a maximum of six) was then compared between cases and controls using a two-tailed chi-square test. A Bonferroni correction for multiple comparisons was used to correct statistical significance, which was set at p < 0.0167 (p < 0.05, divided by the number of analyzed SNPs). Power calculation was carried out using the software Power and Sample Size Calculations (version 3.1.6, Vanderbilt University, Nashville, TN, USA) [23]. Assuming minor allele frequencies of 34%, 41% and 6% it was estimated that the study sample was sufficient to detect ORs of 1.279 (rs2359536), 1.270 (rs10763170) and 1.576 (rs17083838), respectively, under an additive model of inheritance, with an estimated power of 0.8 and a type 1 error probability of 0.05.
Author Contributions
Conceptualization, M.C.L.; methodology, L.M.G. and C.I.G.; formal analysis, L.M.G.; investigation, L.M.G.; resources, F.F., D.C., L.C., A.P., I.F.B., E.N., J.S.D., C.A., M.J.B., O.M. and B.D.P.; writing—original draft preparation, L.M.G.; writing—review and editing, C.I.G., F.F., D.C., L.C., A.P., I.F.B., E.N., J.S.D., C.A., M.J.B., O.M., B.D.P. and M.C.L.; supervision, C.I.G. and M.C.L.; project administration, M.C.L.; funding acquisition, M.C.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Portuguese Foundation for Science and Technology (FCT, project grants PTDC/MEC-MET/29489/2017 and UIDB/00709/2020). L.M.G. was the recipient of a PhD fellowship from FCT (SFRH/BD/147160/2019).
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of the Faculty of Health Sciences, University of Beira Interior, Portugal (reference CE-UBI-Pj-2018-027, approved 12 June 2018).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author on reasonable request.
Acknowledgments
We are grateful to the following clinicians for collecting patient samples and clinical data: Ana Agapito (Lisboa), Ana Monteiro (Braga), Catarina Saraiva (Lisboa), Daniela Cavaco (Lisboa), Hélder Simões (Lisboa), Inês Damásio (Lisboa), Isabel Inácio (Porto), Joana Pereira (Lisboa), Maria Manuel Silva (Porto), Maria Salomé (Lisboa), Mariana Barbosa (Braga), Sara Donato (Lisboa), Sara Pinheiro (Lisboa), Sílvia Paredes (Braga), Teresa Martins (Coimbra), Teresa Rego (Lisboa), Tiago Silva (Lisboa), Valeriano Leite (Lisboa).
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
References
- Daly, A.F.; Beckers, A. The Epidemiology of Pituitary Adenomas. Endocrinol. Metab. Clin. N. Am. 2020, 49, 347–355. [Google Scholar] [CrossRef] [PubMed]
- Araujo-Castro, M.; Berrocal, V.R.; Pascual-Corrales, E. Pituitary tumors: Epidemiology and clinical presentation spectrum. Hormones 2020, 19, 145–155. [Google Scholar] [CrossRef] [PubMed]
- Spada, A.; Mantovani, G.; Lania, A.G.; Treppiedi, D.; Mangili, F.; Catalano, R.; Carosi, G.; Sala, E.; Peverelli, E. Pituitary Tumors: Genetic and Molecular Factors Underlying Pathogenesis and Clinical Behavior. Neuroendocrinology 2022, 112, 15–33. [Google Scholar] [CrossRef] [PubMed]
- Coopmans, E.C.; Korbonits, M. Molecular genetic testing in the management of pituitary disease. Clin. Endocrinol. 2022. [Google Scholar] [CrossRef]
- Denes, J.; Korbonits, M. The clinical aspects of pituitary tumour genetics. Endocrine 2021, 71, 663–674. [Google Scholar] [CrossRef]
- Chang, M.; Yang, C.; Bao, X.; Wang, R. Genetic and Epigenetic Causes of Pituitary Adenomas. Front. Endocrinol. 2020, 11, 596554. [Google Scholar] [CrossRef]
- Ye, Z.; Li, Z.; Wang, Y.; Mao, Y.; Shen, M.; Zhang, Q.; Li, S.; Zhou, L.; Shou, X.; Chen, J.; et al. Common variants at 10p12.31, 10q21.1 and 13q12.13 are associated with sporadic pituitary adenoma. Nat. Genet. 2015, 47, 793–797. [Google Scholar] [CrossRef]
- Wu, D.; Zhang, Z.; Chen, X.; Yan, Y.; Liu, X. Angel or Devil ?-CDK8 as the new drug target. Eur. J. Med. Chem. 2021, 213, 113043. [Google Scholar] [CrossRef]
- Morris, E.J.; Ji, J.Y.; Yang, F.; Di Stefano, L.; Herr, A.; Moon, N.S.; Kwon, E.J.; Haigis, K.M.; Naar, A.M.; Dyson, N.J. E2F1 represses beta-catenin transcription and is antagonized by both pRB and CDK8. Nature 2008, 455, 552–556. [Google Scholar] [CrossRef] [Green Version]
- Clevers, H.; Nusse, R. Wnt/beta-catenin signaling and disease. Cell 2012, 149, 1192–1205. [Google Scholar] [CrossRef]
- Chambers, T.J.; Giles, A.; Brabant, G.; Davis, J.R. Wnt signalling in pituitary development and tumorigenesis. Endocr. Relat. Cancer 2013, 20, R101–R111. [Google Scholar] [CrossRef] [Green Version]
- Elston, M.S.; Gill, A.J.; Conaglen, J.V.; Clarkson, A.; Shaw, J.M.; Law, A.J.; Cook, R.J.; Little, N.S.; Clifton-Bligh, R.J.; Robinson, B.G.; et al. Wnt pathway inhibitors are strongly down-regulated in pituitary tumors. Endocrinology 2008, 149, 1235–1242. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bernard, V.; Villa, C.; Auguste, A.; Lamothe, S.; Guillou, A.; Martin, A.; Caburet, S.; Young, J.; Veitia, R.A.; Binart, N. Natural and molecular history of prolactinoma: Insights from a Prlr(-/-) mouse model. Oncotarget 2018, 9, 6144–6155. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Gul, I.S.; Hulpiau, P.; Saeys, Y.; van Roy, F. Evolution and diversity of cadherins and catenins. Exp. Cell Res. 2017, 358, 3–9. [Google Scholar] [CrossRef] [PubMed]
- Kaszak, I.; Witkowska-Pilaszewicz, O.; Niewiadomska, Z.; Dworecka-Kaszak, B.; Ngosa Toka, F.; Jurka, P. Role of Cadherins in Cancer-A Review. Int. J. Mol. Sci. 2020, 21, 7624. [Google Scholar] [CrossRef]
- Ahmed, Z.M.; Riazuddin, S.; Bernstein, S.L.; Ahmed, Z.; Khan, S.; Griffith, A.J.; Morell, R.J.; Friedman, T.B.; Riazuddin, S.; Wilcox, E.R. Mutations of the protocadherin gene PCDH15 cause Usher syndrome type 1F. Am. J. Hum. Genet. 2001, 69, 25–34. [Google Scholar] [CrossRef] [Green Version]
- Zhen, Y.; Cullen, C.L.; Ricci, R.; Summers, B.S.; Rehman, S.; Ahmed, Z.M.; Foster, A.Y.; Emery, B.; Gasperini, R.; Young, K.M. Protocadherin 15 suppresses oligodendrocyte progenitor cell proliferation and promotes motility through distinct signalling pathways. Commun. Biol. 2022, 5, 511. [Google Scholar] [CrossRef]
- Kazmierczak, P.; Sakaguchi, H.; Tokita, J.; Wilson-Kubalek, E.M.; Milligan, R.A.; Muller, U.; Kachar, B. Cadherin 23 and protocadherin 15 interact to form tip-link filaments in sensory hair cells. Nature 2007, 449, 87–91. [Google Scholar] [CrossRef]
- Zhang, Q.; Peng, C.; Song, J.; Zhang, Y.; Chen, J.; Song, Z.; Shou, X.; Ma, Z.; Peng, H.; Jian, X.; et al. Germline Mutations in CDH23, Encoding Cadherin-Related 23, Are Associated with Both Familial and Sporadic Pituitary Adenomas. Am. J. Hum. Genet. 2017, 100, 817–823. [Google Scholar] [CrossRef] [Green Version]
- Karczewski, K.J.; Francioli, L.C.; Tiao, G.; Cummings, B.B.; Alfoldi, J.; Wang, Q.; Collins, R.L.; Laricchia, K.M.; Ganna, A.; Birnbaum, D.P.; et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 2020, 581, 434–443. [Google Scholar] [CrossRef]
- Lemos, M.C.; Regateiro, F.J. N-acetyltransferase genotypes in the Portuguese population. Pharmacogenetics 1998, 8, 561–564. [Google Scholar] [CrossRef] [PubMed]
- Sole, X.; Guino, E.; Valls, J.; Iniesta, R.; Moreno, V. SNPStats: A web tool for the analysis of association studies. Bioinformatics 2006, 22, 1928–1929. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dupont, W.D.; Plummer, W.D., Jr. Power and sample size calculations. A review and computer program. Control Clin. Trials 1990, 11, 116–128. [Google Scholar] [CrossRef]
Table 1.
Distribution of NEBL, PCDH15 and CDK8 genotypes and alleles in sporadic pituitary adenomas and controls.
Table 1.
Distribution of NEBL, PCDH15 and CDK8 genotypes and alleles in sporadic pituitary adenomas and controls.
| NEBL rs2359536 | Cases, n (%) | Controls, n (%) | OR (95% CI) | p Value | Adjusted OR (95% CI) † | Adjusted p Value † | |
|---|---|---|---|---|---|---|---|
| Genotypes | TT | 225 (39.5) | 213 (39.0) | ||||
| TC | 271 (47.5) | 258 (47.3) | |||||
| CC | 74 (13.0) | 75 (13.7) | 0.94 (0.66–1.32) ¶ | 0.71 | 0.89 (0.63–1.27) ¶ | 0.53 | |
| Alleles | T | 721 (63.2) | 684 (62.6) | ||||
| C | 419 (36.8) | 408 (37.4) | 0.97 (0.82–1.16) § | 0.76 | 0.95 (0.80–1.13) § | 0.57 | |
| PCDH15 rs10763170 | Cases, n (%) | Controls, n (%) | OR (95% CI) | p Value | Adjusted OR (95% CI) † | Adjusted p Value † | |
| Genotypes | CC | 184 (32.3) | 180 (33.0) | ||||
| CT | 276 (48.4) | 247 (45.2) | |||||
| TT | 110 (19.3) | 119 (21.8) | 0.86 (0.64–1.15) ¶ | 0.30 | 0.86 (0.64–1.15) ¶ | 0.31 | |
| Alleles | C | 644 (56.5) | 607 (55.6) | ||||
| T | 496 (43.5) | 485 (44.4) | 0.97 (0.82–1.14) § | 0.67 | 0.96 (0.81–1.13) § | 0.62 | |
| CDK8 rs17083838 | Cases, n (%) | Controls, n (%) | OR (95% CI) | p Value | Adjusted OR (95% CI) † | Adjusted p Value † | |
| Genotypes | GG | 487 (85.4) | 498 (91.2) | ||||
| GA | 82 (14.4) | 46 (8.4) | |||||
| AA | 1 (0.2) | 2 (0.4) | 1.77 (1.21–2.58) Ŧ | 0.003 | 1.82 (1.24–2.68) Ŧ | 0.002 | |
| Alleles | G | 1056 (92.6) | 1042 (95.4) | ||||
| A | 84 (7.3) | 50 (4.6) | 1.67 (1.16–2.41) § | 0.005 | 1.73 (1.19–2.50) § | 0.004 | |
n, number; OR, odds ratio; CI, confidence interval. † adjusted for sex and age; ¶ recessive model; Ŧ dominant model; § log-additive model.
Table 2.
Distribution of PCDH15 genotypes and alleles in somatotrophinomas and all other tumors.
| PCDH15 rs10763170 | Somatotrophinomas, n (%) | All Other Tumors, n (%) | OR (95% CI) | p Value | Adjusted OR (95% CI) † | Adjusted p Value † | |
|---|---|---|---|---|---|---|---|
| Genotypes | CC | 41 (25.5) | 138 (34.6) | ||||
| CT | 85 (52.8) | 193 (48.4) | |||||
| TT | 35 (21.7) | 68 (17.0) | 1.55 (1.03–2.33) Ŧ | 0.036 | 1.55 (1.02–2.35) Ŧ | 0.035 | |
| Alleles | C | 167 (51.9) | 469 (58.8) | ||||
| T | 155 (48.1) | 329 (41.2) | 1.32 (1.02–1.72) § | 0.035 | 1.31 (1.00–1.71) § | 0.046 | |
n, number; OR, odds ratio; CI, confidence interval. † adjusted for sex and age; Ŧ dominant model; § log-additive model.
Table 3.
Distribution of combinations of minor (risk) alleles.
| Number of Minor Alleles | Cases, n (%) | Controls, n (%) | OR (95% CI) | p Value |
|---|---|---|---|---|
| 0 | 56 (9.8) | 60 (11.0) | ||
| 1 | 180 (31.6) | 176 (32.2) | ||
| 2 | 208 (36.5) | 187 (34.2) | ||
| 3 | 102 (17.9) | 102 (18.7) | ||
| 4 | 23 (4.0) | 18 (3.3) | ||
| 5 | 1 (0.2) | 3 (0.6) | ||
| 6 | 0 (0.0) | 0 (0.0) | ||
| 2 or less | 444 (77.9) | 423 (77.5) | ||
| 3 or more | 126 (22.1) | 123 (22.5) | 0.98 (0.74–1.29) | 0.866 |
n, number; OR, odds ratio; CI, confidence interval.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Gaspar, L.M.; Gonçalves, C.I.; Fonseca, F.; Carvalho, D.; Cortez, L.; Palha, A.; Barros, I.F.; Nobre, E.; Duarte, J.S.; Amaral, C.; et al. A Common Variant in the CDK8 Gene Is Associated with Sporadic Pituitary Adenomas in the Portuguese Population: A Case-Control Study. Int. J. Mol. Sci. 2022, 23, 11749. https://doi.org/10.3390/ijms231911749
AMA Style
Gaspar LM, Gonçalves CI, Fonseca F, Carvalho D, Cortez L, Palha A, Barros IF, Nobre E, Duarte JS, Amaral C, et al. A Common Variant in the CDK8 Gene Is Associated with Sporadic Pituitary Adenomas in the Portuguese Population: A Case-Control Study. International Journal of Molecular Sciences. 2022; 23(19):11749. https://doi.org/10.3390/ijms231911749
Chicago/Turabian StyleGaspar, Leonor M., Catarina I. Gonçalves, Fernando Fonseca, Davide Carvalho, Luísa Cortez, Ana Palha, Inês F. Barros, Ema Nobre, João S. Duarte, Cláudia Amaral, and et al. 2022. "A Common Variant in the CDK8 Gene Is Associated with Sporadic Pituitary Adenomas in the Portuguese Population: A Case-Control Study" International Journal of Molecular Sciences 23, no. 19: 11749. https://doi.org/10.3390/ijms231911749
APA StyleGaspar, L. M., Gonçalves, C. I., Fonseca, F., Carvalho, D., Cortez, L., Palha, A., Barros, I. F., Nobre, E., Duarte, J. S., Amaral, C., Bugalho, M. J., Marques, O., Pereira, B. D., & Lemos, M. C. (2022). A Common Variant in the CDK8 Gene Is Associated with Sporadic Pituitary Adenomas in the Portuguese Population: A Case-Control Study. International Journal of Molecular Sciences, 23(19), 11749. https://doi.org/10.3390/ijms231911749
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
