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Perini JA, Machado DE, Cardoso JV, Fernandes VC, Struchiner CJ, Suarez-Kurtz G. CYP2C19 metabolic estrogen phenotypes and endometriosis risk in Brazilian women. Clinics (Sao Paulo) 2023; 78:100176. [PMID: 36893562 PMCID: PMC10018429 DOI: 10.1016/j.clinsp.2023.100176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/27/2023] [Accepted: 02/13/2023] [Indexed: 03/09/2023] Open
Affiliation(s)
- Jamila Alessandra Perini
- Laboratório de Pesquisa de Ciências Farmacêuticas (LAPESF), Universidade do Estado do Rio de Janeiro (UERJ zona oeste), Rio de Janeiro, RJ, Brazil
| | - Daniel Escorsim Machado
- Laboratório de Pesquisa de Ciências Farmacêuticas (LAPESF), Universidade do Estado do Rio de Janeiro (UERJ zona oeste), Rio de Janeiro, RJ, Brazil
| | - Jéssica Vilarinho Cardoso
- Laboratório de Pesquisa de Ciências Farmacêuticas (LAPESF), Universidade do Estado do Rio de Janeiro (UERJ zona oeste), Rio de Janeiro, RJ, Brazil
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2
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Terzic M, Aimagambetova G, Kunz J, Bapayeva G, Aitbayeva B, Terzic S, Laganà AS. Molecular Basis of Endometriosis and Endometrial Cancer: Current Knowledge and Future Perspectives. Int J Mol Sci 2021; 22:9274. [PMID: 34502183 PMCID: PMC8431548 DOI: 10.3390/ijms22179274] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 08/18/2021] [Accepted: 08/25/2021] [Indexed: 02/07/2023] Open
Abstract
The human endometrium is a unique tissue undergoing important changes through the menstrual cycle. Under the exposure of different risk factors in a woman's lifetime, normal endometrial tissue can give rise to multiple pathologic conditions, including endometriosis and endometrial cancer. Etiology and pathophysiologic changes behind such conditions remain largely unclear. This review summarizes the current knowledge of the pathophysiology of endometriosis and its potential role in the development of endometrial cancer from a molecular perspective. A better understanding of the molecular basis of endometriosis and its role in the development of endometrial pathology will improve the approach to clinical management.
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Affiliation(s)
- Milan Terzic
- Department of Medicine, School of Medicine, Nazarbayev University, Kabanbay Batyr Avenue 53, Nur-Sultan 010000, Kazakhstan or (M.T.); (S.T.)
- National Research Center for Maternal and Child Health, Clinical Academic Department of Women’s Health, University Medical Center, Turan Avenue 32, Nur-Sultan 010000, Kazakhstan; (G.B.); (B.A.)
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, 300 Halket Street, Pittsburgh, PA 15213, USA
| | - Gulzhanat Aimagambetova
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Kabanbay Batyr Avenue 53, Nur-Sultan 010000, Kazakhstan;
| | - Jeannette Kunz
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Kabanbay Batyr Avenue 53, Nur-Sultan 010000, Kazakhstan;
| | - Gauri Bapayeva
- National Research Center for Maternal and Child Health, Clinical Academic Department of Women’s Health, University Medical Center, Turan Avenue 32, Nur-Sultan 010000, Kazakhstan; (G.B.); (B.A.)
| | - Botagoz Aitbayeva
- National Research Center for Maternal and Child Health, Clinical Academic Department of Women’s Health, University Medical Center, Turan Avenue 32, Nur-Sultan 010000, Kazakhstan; (G.B.); (B.A.)
| | - Sanja Terzic
- Department of Medicine, School of Medicine, Nazarbayev University, Kabanbay Batyr Avenue 53, Nur-Sultan 010000, Kazakhstan or (M.T.); (S.T.)
| | - Antonio Simone Laganà
- Department of Obstetrics and Gynecology, “Filippo Del Ponte” Hospital, University of Insubria, 21100 Varese, Italy;
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3
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Elfaki I, Mir R, Abu-Duhier FM, Jha CK, Ahmad Al-Alawy AI, Babakr AT, Habib SAEH. Analysis of the Potential Association of Drug-Metabolizing Enzymes CYP2C9*3 and CYP2C19*3 Gene Variations With Type 2 Diabetes: A Case-Control Study. Curr Drug Metab 2020; 21:1152-1160. [PMID: 33115391 DOI: 10.2174/1389200221999201027200931] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 08/14/2020] [Accepted: 09/01/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Cytochrome P450s (CYPs) are drug-metabolizing enzymes catalyzing the metabolism of about 75% of drug in clinical use. CYP2C9 represents 20% CYP proteins in liver cells and is a crucial member of CYPs superfamily. CYP2C19 metabolizes very important drugs such as antiulcer drug omeprazole, the antiplatelet drug clopidogrel and anticonvulsant mephenytoin. Single nucleotide polymorphisms (SNPs) of CYP genes have been associated with unexpected drug reactions and diseases in different populations. OBJECTIVE We examined the associations of CYP2C9*3 (rs1057910) and CYP2C19*3 (rs4986893) with T2D in Saudi population. METHODS We used the allele-specific PCR (AS-PCR) and DNA sequencing in 111 cases and 104 controls for rs1057910, and in 119 cases and 110 controls for rs4986893. RESULTS It is indicated that the genotype distribution of rs1057910 in cases and controls were not significantly different (P=0.0001). The genotypes of rs1057910 were not associated with type 2 diabetes (T2D) (P>0.05). Whereas the genotype distribution of rs4986893 in cases and controls was significantly different (P=0.049). The AA genotype of rs4986893 may be associated in increased risk to T2D with OR=17.25 (2.06-143.8), RR=6.14(0.96-39.20), P=0.008. CONCLUSION The CYP2C9*3 (rs1057910) may not be associated with T2D, while CYP2C19*3 (rs4986893) is probably associated with T2D. These findings need to be validated in follow-up studies with larger sample sizes and different populations.
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Affiliation(s)
- Imadeldin Elfaki
- Department of Biochemistry, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia
| | - Rashid Mir
- Prince Fahd Ben Sultan Research Chair, Department of Medical Lab Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Saudi Arabia
| | - Faisel Mohammed Abu-Duhier
- Prince Fahd Ben Sultan Research Chair, Department of Medical Lab Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Saudi Arabia
| | | | | | - Abdullatif Taha Babakr
- Department of Medical Biochemistry, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
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Méar L, Herr M, Fauconnier A, Pineau C, Vialard F. Polymorphisms and endometriosis: a systematic review and meta-analyses. Hum Reprod Update 2020; 26:73-102. [PMID: 31821471 DOI: 10.1093/humupd/dmz034] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 08/20/2019] [Accepted: 08/28/2019] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Endometriosis is an estrogen-dependent gynecological disorder that affects at least 10% of women of reproductive age. It may lead to infertility and non-specific symptoms such as chronic pelvic pain. Endometriosis screening and diagnosis are difficult and time-consuming. Late diagnosis (with a delay ranging from 3.3 to 10.7 years) is a major problem and may contribute to disease progression and a worse response to treatment once initiated. Efficient screening tests might reduce this diagnostic delay. As endometriosis is presumed to be a complex disease with several genetic and non-genetic pathogenic factors, many researchers have sought to identify polymorphisms that predispose to this condition. OBJECTIVE AND RATIONALE We performed a systematic review and meta-analysis of the most regularly reported polymorphisms in order to identify those that might predispose to endometriosis and might thus be of value in screening. SEARCH METHODS The MEDLINE database was searched for English-language publications on DNA polymorphisms in endometriosis, with no date restriction. The PubTator text mining tool was used to extract gene names from the selected publications' abstracts. We only selected polymorphisms reported by at least three studies, having applied strict inclusion and exclusion criteria to their control populations. No stratification based on ethnicity was performed. All steps were carried out according to PRISMA guidelines. OUTCOMES The initial selection of 395 publications cited 242 different genes. Sixty-two genes (corresponding to 265 different polymorphisms) were cited at least in three publications. After the application of our other selection criteria (an original case-control study of endometriosis, a reported association between endometriosis and at least one polymorphism, data on women of reproductive age and a diagnosis of endometriosis in the cases established by surgery and/or MRI and confirmed by histology), 28 polymorphisms were eligible for meta-analysis. Only five of the 28 polymorphisms were found to be significantly associated with endometriosis: interferon gamma (IFNG) (CA) repeat, glutathione S-transferase mu 1 (GSTM1) null genotype, glutathione S-transferase pi 1 (GSTP1) rs1695 and wingless-type MMTV integration site family member 4 (WNT4) rs16826658 and rs2235529. Six others showed a significant trend towards an association: progesterone receptor (PGR) PROGINS, interCellular adhesion molecule 1 (ICAM1) rs1799969, aryl-hydrocarbon receptor repressor (AHRR) rs2292596, cytochrome family 17 subfamily A polypeptide 1 (CYP17A1) rs743572, CYP2C19 rs4244285 and peroxisome proliferator-activated receptor gamma (PPARG) rs1801282), and 12 showed a significant trend towards the lack of an association: tumor necrosis factor (TNF) rs1799964, interleukin 6 (IL6) rs1800796, transforming growth factor beta 1 (TGFB1) rs1800469, estrogen receptor 1 (ESR1) rs2234693, PGR rs10895068, FSH receptor (FSHR) rs6166, ICAM1 rs5498, CYP1A1 rs4646903, CYP19A1 rs10046, tumor protein 53 (TP53) rs1042522, X-ray repair complementing defective repair in Chinese hamster cells 1 (XRCC1) rs25487 and serpin peptidase inhibitor clade E member 1 (SERPINE1) rs1799889; however, for the 18 polymorphisms identified in the latter two groups, further studies of the potential association with the endometriosis risk are needed. The remaining five of the 28 polymorphisms were not associated with endometriosis: glutathione S-transferase theta 1 (GSTT1) null genotype, vascular endothelial growth factor alpha (VEGFA) rs699947, rs833061, rs2010963 and rs3025039. WIDER IMPLICATIONS By carefully taking account of how the control populations were defined, we identified polymorphisms that might be candidates for use in endometriosis screening and polymorphisms not associated with endometriosis. This might constitute the first step towards identifying polymorphism combinations that predispose to endometriosis (IFNG (CA) repeat, GSTM1 null genotype, GSTP1 rs1695, WNT4 rs16826658 and WNT4 rs2235529) in a large cohort of patients with well-defined inclusion criteria. In turn, these results might improve the diagnosis of endometriosis in primary care. Lastly, our present findings may enable a better understanding of endometriosis and improve the management of patients with this disease.
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Affiliation(s)
- Loren Méar
- EA7404-GIG, UFR des Sciences de la Santé Simone Veil, UVSQ, F-78180 Montigny le Bretonneux, France.,Univ Rennes, Inserm, EHESP, Irset, UMR_S 1085, F-35042 Rennes cedex, France.,Protim, Univ Rennes, F-35042 Rennes cedex, France
| | - Marie Herr
- INSERM, U1168, VIMA: Aging and Chronic Diseases, Epidemiological and Public Health Approaches, F-94807 Villejuif, France.,UMR-S 1168, UFR des Sciences de la Santé Simone Veil, UVSQ, F-78180 Montigny le Bretonneux, France.,Département Hospitalier d'Epidémiologie et Santé Publique, Hôpitaux Universitaires Paris Ile-de-France Ouest, Assistance Publique-Hôpitaux de Paris, F-75000 Paris, France
| | - Arnaud Fauconnier
- EA7325-RISQ, UFR des Sciences de la Santé Simone Veil, UVSQ, F-78180 Montigny le Bretonneux, France.,Department of Gyneacology and Obstetrics, CHI de Poissy St Germain en Laye, F-78303 Poissy, France
| | - Charles Pineau
- Univ Rennes, Inserm, EHESP, Irset, UMR_S 1085, F-35042 Rennes cedex, France.,Protim, Univ Rennes, F-35042 Rennes cedex, France
| | - François Vialard
- EA7404-GIG, UFR des Sciences de la Santé Simone Veil, UVSQ, F-78180 Montigny le Bretonneux, France.,Genetics Federation, CHI de Poissy St Germain en Laye, F-78303 Poissy, France
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Abstract
The cytochromes P450 comprise a family of enzymes that are responsible for around three-quarters of all drug metabolism reactions that occur in human populations. Many isoforms of cytochrome P450 exist but most reactions are undertaken by CYP2C9, CYP2C19, CYP2D6 and CYP3A4. This brief review focusses on the first three isozymes which exhibit polymorphism of phenotype.If there is a wide variation in drug metabolising capacity within the population, this may precipitate clinical consequences and influence the drug treatment of patients. Such problems range from a lack of efficacy to unanticipated toxicity. In order to minimise untoward events and "personalise" a patient's treatment, efforts have been made to discover an individual's drug metabolism status. This requires knowledge of the subject's phenotype at the time of clinical treatment. Since such testing is difficult, time-consuming and costly, the simpler approach of genotyping has been advocated.However, the correlation between genotype and phenotype is not good, with values of up to 50% misprediction being reported. Genotype-assisted forecasts cannot therefore be used with confidence to replace actual phenotype measurements. Obfuscating factors discussed include gene splicing, single nucleotide polymorphisms, epigenetics and microRNA, transcription regulation and multiple gene copies.
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Vassilopoulou L, Matalliotakis M, Zervou MI, Matalliotaki C, Krithinakis K, Matalliotakis I, Spandidos DA, Goulielmos GN. Defining the genetic profile of endometriosis. Exp Ther Med 2019; 17:3267-3281. [PMID: 30988702 PMCID: PMC6447774 DOI: 10.3892/etm.2019.7346] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 03/01/2019] [Indexed: 01/20/2023] Open
Abstract
Endometriosis is a pathological condition which has been extensively studied, since its pathophysiology stems from a broad spectrum of environmental influences and genetic factors. Familial studies aim at defining inheritance trends, while linkage analysis studies focus on the identification of genetic sites related to endometriosis susceptibility. Genetic association studies take into account candidate genes and single nucleotide polymorphisms, and hence target at unraveling the association between disease severity and genetic variation. The common goal of various types of studies is, through genetic mapping methods, the timely identification of therapeutic strategies for disease symptoms, including pelvic pain and infertility, as well as efficient counselling. While genome-wide association studies (GWAS) play a primary role in depicting genetic contributions to disease development, they entail a certain bias as regards the case-control nature of their design and the reproducibility of the results. Nevertheless, genetic-oriented studies and the implementation of the results through clinical tests, hold a considerable advantage in proper disease management. In this review article, we present information about gene-gene and gene-environment interactions involved in endometriosis and discuss the effectiveness of GWAS in identitying novel potential therapeutic targets in an attempt to develop novel therapeutic strategies for a better management and treatment of patients with endometriosis.
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Affiliation(s)
- Loukia Vassilopoulou
- Laboratory of Forensic Sciences and Toxicology, School of Medicine, University of Crete, Heraklion 71003, Greece
| | - Michail Matalliotakis
- Third Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.,Department of Obstetrics and Gynecology, Venizeleio and Pananio General Hospital of Heraklion, Heraklion 71409, Greece
| | - Maria I Zervou
- Section of Molecular Pathology and Human Genetics, Department of Internal Medicine, School of Medicine, University of Crete, Heraklion 71003, Greece
| | - Charoula Matalliotaki
- Third Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.,Department of Obstetrics and Gynecology, Venizeleio and Pananio General Hospital of Heraklion, Heraklion 71409, Greece
| | - Konstantinos Krithinakis
- Department of Obstetrics and Gynecology, University Hospital of Heraklion, Heraklion 71500, Greece
| | - Ioannis Matalliotakis
- Department of Obstetrics and Gynecology, Venizeleio and Pananio General Hospital of Heraklion, Heraklion 71409, Greece
| | - Demetrios A Spandidos
- Laboratory of Clinical Virology, School of Medicine, University of Crete, Heraklion 71003, Greece
| | - George N Goulielmos
- Section of Molecular Pathology and Human Genetics, Department of Internal Medicine, School of Medicine, University of Crete, Heraklion 71003, Greece
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7
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Joseph S, Mahale SD. Endometriosis Knowledgebase: a gene-based resource on endometriosis. Database (Oxford) 2019; 2019:baz062. [PMID: 31169291 PMCID: PMC6551373 DOI: 10.1093/database/baz062] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 03/14/2019] [Accepted: 04/16/2019] [Indexed: 12/13/2022]
Abstract
Endometriosis is a complex, benign, estrogen-dependent gynecological disorder with an incidence of ~10% women in reproductive age. The implantation and growth of endometrial cells outside the uterus leads to the development of endometriosis. Endometriosis is also associated with comorbid conditions like cardiovascular and autoimmune diseases. The absence of non-invasive diagnostic markers, delayed diagnosis, high risk of recurrence of the disease on surgical removal of the tissue and absence of a definitive cure for endometriosis makes it imperative to gain insights into the complex etiology of endometriosis. A plethora of genes identified from blood and endometrial biopsies, involved in different pathways like steroid metabolism, angiogenesis, inflammation, etc. have been associated with endometriosis. However, the exact mechanism and genetic etiology of endometriosis still remain unclear. The polygenic nature of the disease, incongruent phenotypic manifestations in different ethnic populations and information scattered in literature makes it difficult to delineate the sub-network of genes that will aid in disease diagnosis and effective treatment. Endometriosis Knowledgebase is a manually curated database with information on genes associated with endometriosis. It holds information on 831 genes, their associated polymorphisms, gene ontologys, pathways and diseases. Genes in the database are enriched in pathways important for cell signaling, immune regulation and reproduction. A genetic overlap is seen between endometriosis and cancers, endocrine/reproductive, nervous system, immune and metabolic diseases. Network analysis of genes in the Endometriosis Knowledgebase helped predict 13 new candidate genes for endometriosis. These genes were found to be enriched in biological processes associated with endometriosis. The Endometriosis Knowledgebase and incorporated tools for gene and sequence-based analysis will benefit both researchers and clinicians working in the realm of reproductive biology.
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Affiliation(s)
- Shaini Joseph
- ICMR-Biomedical Informatics Center, National Institute for Research in Reproductive Health, J.M. Street, Parel, Mumbai, India
| | - Smita D Mahale
- ICMR-Biomedical Informatics Center, National Institute for Research in Reproductive Health, J.M. Street, Parel, Mumbai, India
- Division of Structural Biology, National Institute for Research in Reproductive Health, J.M. Street, Parel, Mumbai, India
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8
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Cardoso JV, Abrão MS, Berardo PT, Ferrari R, Nasciutti LE, Machado DE, Perini JA. Role of cytochrome P450 2C19 polymorphisms and body mass index in endometriosis: A case-control study. Eur J Obstet Gynecol Reprod Biol 2017; 219:119-123. [PMID: 29102810 DOI: 10.1016/j.ejogrb.2017.10.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 10/17/2017] [Accepted: 10/30/2017] [Indexed: 12/27/2022]
Abstract
OBJECTIVE To investigate the contribution of CYP2C19 polymorphisms and body mass index (BMI) in the development of endometriosis. STUDY DESIGN This is a case-control study that includes 356 women (187 cases and 169 controls) recruited from two hospitals in the Brazilian public health system. The genotyping analyses of the CYP2C19*2 and CYP2C19*17 polymorphisms were performed using TaqMan allelic discrimination assays, and the association of the studied polymorphisms with endometriosis was evaluated by multivariate logistic regression. Pearson correlation coefficients were used to investigate the interaction between BMI and CYP2C19 polymorphisms. RESULTS The variant allele frequencies of CYP2C19*2 were significantly different between cases and controls, and after adjusting for confounding factors, the CYP2C19*2 polymorphism was more frequent in women with endometriosis, considering all cases (CYP2C19*2: OR=1.83; 95% CI=1.17-2.85) and only deeply infiltrating endometriosis (DIE) cases (CYP2C19*2: OR=2.32; 95% CI=1.42-3.77). BMI was significantly lower in endometriosis patients (26.5±4.68) than in controls (27.8±5.65, P<0.02). Among obese women (BMI 30-40), the CYP2C19*2 polymorphism had a greater association with endometriosis (CYP2C19*2: OR=3.27; 95% CI=1.55-6.89). There was a positive correlation between CYP2C19*2 and BMI 30-40 (P=0.004). CONCLUSIONS The findings of our study suggest that CYP2C19*2 is positively associated with endometriosis and that BMI may have a significant interaction with CYP2C19*2 and the risk of endometriosis.
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Affiliation(s)
- Jéssica Vilarinho Cardoso
- Program of Post-graduation in Public Health and Environment, National School of Public Health, Oswald Cruz Foundation, Rio de Janeiro, RJ, Brazil; Research Laboratory of Pharmaceutical Sciences, West Zone State University, Rio de Janeiro, Brazil
| | - Maurício Simões Abrão
- Endometriosis Section, Gynecologic Division, Hospital das Clinicas, HCFMUSP, Faculty of Medicine, University of São Paulo, São Paulo, SP, Brazil; Gynecologic Division, BP - The Portuguese Beneficence of São Paulo, São Paulo, SP, Brazil
| | - Plínio Tostes Berardo
- Gynecology Service, Hospital Federal dos Servidores do Estado, Rio de Janeiro, RJ, Brazil
| | - Renato Ferrari
- Gynecology Institute, Hospital Moncorvo Filho, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Luiz Eurico Nasciutti
- Biomedical Sciences Institute, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Daniel Escorsim Machado
- Research Laboratory of Pharmaceutical Sciences, West Zone State University, Rio de Janeiro, Brazil; Biomedical Sciences Institute, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Jamila Alessandra Perini
- Program of Post-graduation in Public Health and Environment, National School of Public Health, Oswald Cruz Foundation, Rio de Janeiro, RJ, Brazil; Research Laboratory of Pharmaceutical Sciences, West Zone State University, Rio de Janeiro, Brazil.
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9
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Sapkota Y, Steinthorsdottir V, Morris AP, Fassbender A, Rahmioglu N, De Vivo I, Buring JE, Zhang F, Edwards TL, Jones S, O D, Peterse D, Rexrode KM, Ridker PM, Schork AJ, MacGregor S, Martin NG, Becker CM, Adachi S, Yoshihara K, Enomoto T, Takahashi A, Kamatani Y, Matsuda K, Kubo M, Thorleifsson G, Geirsson RT, Thorsteinsdottir U, Wallace LM, Yang J, Velez Edwards DR, Nyegaard M, Low SK, Zondervan KT, Missmer SA, D'Hooghe T, Montgomery GW, Chasman DI, Stefansson K, Tung JY, Nyholt DR. Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism. Nat Commun 2017; 8:15539. [PMID: 28537267 PMCID: PMC5458088 DOI: 10.1038/ncomms15539] [Citation(s) in RCA: 194] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 04/07/2017] [Indexed: 12/27/2022] Open
Abstract
Endometriosis is a heritable hormone-dependent gynecological disorder, associated with severe pelvic pain and reduced fertility; however, its molecular mechanisms remain largely unknown. Here we perform a meta-analysis of 11 genome-wide association case-control data sets, totalling 17,045 endometriosis cases and 191,596 controls. In addition to replicating previously reported loci, we identify five novel loci significantly associated with endometriosis risk (P<5 × 10−8), implicating genes involved in sex steroid hormone pathways (FN1, CCDC170, ESR1, SYNE1 and FSHB). Conditional analysis identified five secondary association signals, including two at the ESR1 locus, resulting in 19 independent single nucleotide polymorphisms (SNPs) robustly associated with endometriosis, which together explain up to 5.19% of variance in endometriosis. These results highlight novel variants in or near specific genes with important roles in sex steroid hormone signalling and function, and offer unique opportunities for more targeted functional research efforts. Endometriosis is a major cause of infertility. Molecular mechanisms underlying the disease involve genetic and environmental risk factors. In a meta-analysis of eleven GWA studies, Sapkota and colleagues identify five novel risk loci, implicating steroid sex hormone pathways in the pathogenesis.
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Affiliation(s)
- Yadav Sapkota
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia.,Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | | | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Amelie Fassbender
- KULeuven, Department of Development and Regeneration, Organ systems, 3000 Leuven, Belgium.,Department of Obstetrics and Gynaecology, Leuven University Fertility Centre, University Hospital Leuven, 3000 Leuven, Belgium
| | - Nilufer Rahmioglu
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Immaculata De Vivo
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Julie E Buring
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA.,Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA
| | - Futao Zhang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Todd L Edwards
- Institute of Medicine and Public Health, Vanderbilt University Medical Center, Nashville, Tennessee 37203, USA
| | - Sarah Jones
- Vanderbilt Genetics Institute, Division of Epidemiology, Institute of Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee 37203, USA
| | - Dorien O
- KULeuven, Department of Development and Regeneration, Organ systems, 3000 Leuven, Belgium.,Department of Obstetrics and Gynaecology, Leuven University Fertility Centre, University Hospital Leuven, 3000 Leuven, Belgium
| | - Daniëlle Peterse
- KULeuven, Department of Development and Regeneration, Organ systems, 3000 Leuven, Belgium.,Department of Obstetrics and Gynaecology, Leuven University Fertility Centre, University Hospital Leuven, 3000 Leuven, Belgium
| | - Kathryn M Rexrode
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA.,Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA
| | - Paul M Ridker
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA.,Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA
| | - Andrew J Schork
- Cognitive Science Department, University of California, San Diego, La Jolla, California 92093, USA.,Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen University Hospital, DK-2100 Copenhagen, Denmark
| | - Stuart MacGregor
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia
| | - Nicholas G Martin
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia
| | - Christian M Becker
- Endometriosis CaRe Centre, Nuffield Dept of Obstetrics &Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Sosuke Adachi
- Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata 950-2181, Japan
| | - Kosuke Yoshihara
- Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata 950-2181, Japan
| | - Takayuki Enomoto
- Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata 950-2181, Japan
| | - Atsushi Takahashi
- Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan
| | - Yoichiro Kamatani
- Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan
| | - Koichi Matsuda
- Institute of Medical Sciences, The University of Tokyo, Tokyo 108-8639, Japan
| | - Michiaki Kubo
- Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan
| | | | - Reynir T Geirsson
- Department of Obstetrics and Gynecology, Landspitali University Hospital, 101 Reykjavik, Iceland.,Faculty of Medicine, School of Health Sciences, University of Iceland, 101 Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen, 101 Reykjavik, Iceland.,Faculty of Medicine, School of Health Sciences, University of Iceland, 101 Reykjavik, Iceland
| | - Leanne M Wallace
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia.,Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
| | | | - Jian Yang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Digna R Velez Edwards
- Vanderbilt Genetics Institute, Vanderbilt Epidemiology Center, Institute of Medicine and Public Health, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee 37203, USA
| | - Mette Nyegaard
- Department of Biomedicine, Aarhus University, DK-8000 Aarhus, Denmark.,iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, DK-2100 Copenhagen, Denmark
| | - Siew-Kee Low
- Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan
| | - Krina T Zondervan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.,Endometriosis CaRe Centre, Nuffield Dept of Obstetrics &Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Stacey A Missmer
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Thomas D'Hooghe
- KULeuven, Department of Development and Regeneration, Organ systems, 3000 Leuven, Belgium.,Department of Obstetrics and Gynaecology, Leuven University Fertility Centre, University Hospital Leuven, 3000 Leuven, Belgium.,Global Medical Affairs Fertility, Research and Development, Merck KGaA, Darmstadt, Germany
| | - Grant W Montgomery
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia.,Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Daniel I Chasman
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA.,Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA
| | - Kari Stefansson
- deCODE Genetics/Amgen, 101 Reykjavik, Iceland.,Faculty of Medicine, School of Health Sciences, University of Iceland, 101 Reykjavik, Iceland
| | - Joyce Y Tung
- 23andMe, Inc., 899 W. Evelyn Avenue, Mountain View, California 94041, USA
| | - Dale R Nyholt
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia.,Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland 4059, Australia
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Genetic risk factors for ovarian cancer and their role for endometriosis risk. Gynecol Oncol 2017; 145:142-147. [PMID: 28214017 DOI: 10.1016/j.ygyno.2017.02.022] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 02/09/2017] [Accepted: 02/10/2017] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Several genetic variants have been validated as risk factors for ovarian cancer. Endometriosis has also been described as a risk factor for ovarian cancer. Identifying genetic risk factors that are common to the two diseases might help improve our understanding of the molecular pathogenesis potentially linking the two conditions. METHODS In a hospital-based case-control analysis, 12 single nucleotide polymorphisms (SNPs), validated by the Ovarian Cancer Association Consortium (OCAC) and the Collaborative Oncological Gene-environment Study (COGS) project, were genotyped using TaqMan® OpenArray™ analysis. The cases consisted of patients with endometriosis, and the controls were healthy individuals without endometriosis. A total of 385 cases and 484 controls were analyzed. Odds ratios and P values were obtained using simple logistic regression models, as well as from multiple logistic regression models with adjustment for clinical predictors. RESULTS rs11651755 in HNF1B was found to be associated with endometriosis in this case-control study. The OR was 0.66 (95% CI, 0.51 to 0.84) and the P value after correction for multiple testing was 0.01. None of the other genotypes was associated with a risk for endometriosis. CONCLUSIONS As rs11651755 in HNF1B modified both the ovarian cancer risk and also the risk for endometriosis, HNF1B may be causally involved in the pathogenetic pathway leading from endometriosis to ovarian cancer.
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11
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Guo SW. Endometriosis and ovarian cancer: potential benefits and harms of screening and risk-reducing surgery. Fertil Steril 2015; 104:813-830. [PMID: 26335131 DOI: 10.1016/j.fertnstert.2015.08.006] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Revised: 08/03/2015] [Accepted: 08/05/2015] [Indexed: 12/23/2022]
Abstract
Although endometriosis is well recognized as a benign gynecologic condition, its association with ovarian cancer (OVCA) has frequently been reported. Review articles on this topic are voluminous, yet there seems to be no consensus as to whether endometriosis is truly a precursor of OVCA and whether any screening or risk-reducing surgery should be instituted, on the basis of our current knowledge. In this review, published data are compiled and critically appraised. Through this critical appraisal, it seems clear that the strongest evidence seems to come from prevalence data. This type of data also suggests a reduced risk of certain histotypes (mainly type II) of OVCA in women with endometriosis. This may explain the rather moderate increase in risk as shown in epidemiologic studies. Even with this moderate increase in OVCA risk, caution should be exercised because of apparent bias in favor of publication of positive results, extensive heterogeneities among prevalence estimates, and inverse relationship between estimates and sizes of the studies. Many molecular studies are conflicting, and earlier studies showing molecular aberrations involved in genomic instability and mutation that enable malignant transformation are not replicated in later studies. Given the low incidence of OVCA and the rather moderate increase in risk of mostly type I tumors, screening seems to be ill-advised, and risk-reducing surgery such as salpingectomy with or without oophorectomy does not seem to yield any substantial benefit to women with endometriosis.
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Affiliation(s)
- Sun-Wei Guo
- Shanghai Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China; Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Fudan University, Shanghai, People's Republic of China; Department of Biochemistry and Molecular Biology, Shanghai College of Medicine, Fudan University, Shanghai, People's Republic of China.
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12
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Daly AK. Polymorphic Variants of Cytochrome P450. CYTOCHROME P450 FUNCTION AND PHARMACOLOGICAL ROLES IN INFLAMMATION AND CANCER 2015; 74:85-111. [DOI: 10.1016/bs.apha.2015.03.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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