A functional polymorphism in the promoter of the progesterone receptor gene associated with endometrial cancer risk

Comprehensive analysis predicting effects of deleterious SNPs of human progesterone receptor gene on its structure and functions: a computational approach

Progesterone receptor plays a crucial role in the development of the mammary gland and breast cancer. Single nucleotide polymorphisms (SNPs) within its gene, PGR, are associated with the risk of miscarriages and preterm birth as well as many cancers across different populations. The main aim of this work is to investigate the most deleterious SNPs in the PGR gene to identify potential biomarkers for various disease susceptibility and treatments. Both sequence and structure-based computational approaches were adopted and in total 11 nsSNPs have been filtered out of 674 nsSNPs along with seven non-coding SNPs. R740Q, I744T and D746E belonged to a mutation cluster. R740Q, D746E along with S865L altered H-bond interactions within the receptor. The same mutations have been found to be associated with several cancers including uterine and breast cancer among others. It is, therefore, possible that the high-risk SNPs associated with cancers may exert their effect by causing changes in the protein structure, particularly in its bonding patterns, and thus affecting its function. In addition, seven non-coding SNPs that were located in the UTR region created a new miRNA site while three SNPs disrupted a conserved miRNA site. These high-risk SNPs can play an instrumental role in generating a dataset of the PGR gene's SNPs. Thus, the present study may pave the way to design and develop novel therapeutics for overcoming the challenges associated with certain cancers and pregnancy that result from a change in the protein structure and function due to the SNP mutations in the PGR gene.Communicated by Ramaswamy H. Sarma.

Association of mutation and expression of the brother of the regulator of imprinted sites (BORIS) gene with breast cancer progression

INTRODUCTION

The BORIS, 11 zinc-finger transcription factors, is a member of the cancer-testis antigen (CTA) family. It is mapped to chromosome number 20q13.2 and this region is genetically linked to the early onset of breast cancer. The current study analyzed the correlation between BORIS mutations and the expression of the protein in breast cancer cases.

MATERIALS AND METHODS

A population-based study including a total of 155 breast cancer tissue samples and an equal number of normal adjacent tissues from Indian female breast cancer patients was carried out. Mutations of the BORIS gene were detected by polymerase chain reaction-single standard confirmation polymorphisms (PCR-SSCP) and automated DNA sequencing and by immunohistochemistry for BORIS protein expression were performed. The observed findings were correlated with several clinicopathological parameters to find out the clinical relevance of associations.

RESULTS

Of all the cases 16.12% (25/155) showed mutations in the BORIS gene. The observed mutations present on codon 329 are missense, leading to Val> Ile (G>A) change on exon 5 of the BORIS gene. A significant association was observed between mutations of the BORIS gene and some clinicopathological features like nodal status (p = 0.013), estrogen receptor (ER) expression (p = 0.008), progesterone receptor (PR) expression (p = 0.039), clinical stage (p = 0.010) and menopausal status (p = 0.023). The protein expression analysis showed 20.64% (32/155) samples showing low or no expression (+), 34.19% (53/155) with moderate expression (++), and 45.17% (70/155) showing high expression (+++) of BORIS protein. A significant association was observed between the expression of BORIS protein and clinicopathological features like clinical stage (p = 0.013), nodal status (p = 0.049), ER expression (p = 0.039), and PR expression (p = 0.027). When mutation and protein expression were correlated in combination with clinicopathological parameters a significant association was observed in the category of high (+++) level of BORIS protein expression (p = 0.017).

CONCLUSION

The BORIS mutations and high protein expression occur frequently in carcinoma of the breast suggesting their association with the onset and progression of breast carcinoma. Further, the BORIS has the potential to be used as a biomarker.

Meta-Analysis of 49 SNPs Covering 25,446 Cases and 41,106 Controls Identifies Polymorphisms in Hormone Regulation and DNA Repair Genes Associated with Increased Endometrial Cancer Risk

Endometrial cancer (EC) is among the most common gynecological disorders globally. As single nucleotide polymorphisms (SNPs) play an important role in the causation of EC, therefore, a comprehensive meta-analysis of 49 SNPs covering 25,446 cases and 41,106 controls was performed to identify SNPs significantly associated with increased EC risk. PubMed was searched to identify case control studies and meta-analysis was performed to compute the pooled odds ratio (OR) at 95% confidence interval (CI). Cochran’s Q-test and I2 were used to study heterogeneity, based on which either a random or a fixed effect model was implemented. The meta-analysis identified 11 SNPs (from 10 genes) to be significantly associated with increased EC risk. Among these, seven SNPs were significant in at least three of the five genetic models, as well as three of the polymorphisms (rs1801320, rs11224561, and rs2279744) corresponding to RAD51, PGR, and MDM2 genes, which contained more than 1000 EC cases each and exhibited increased risk. The current meta-analysis indicates that polymorphisms associated with various hormone related genes—SULT1A1 (rs1042028), PGR (rs11224561), and CYP19A1 (rs10046 and rs4775936); DNA repair genes—ERCC2 (rs1799793), OGG1 (rs1052133), MLH1 (rs1800734), and RAD51 (rs1801320) as well as genes like MDM2 (rs2279744), CCND1 (rs9344), and SERPINE1 (rs1799889), are significantly associated with increased EC risk.

Regulation of progesterone receptor expression in endometriosis, endometrial cancer, and breast cancer by estrogen, polymorphisms, transcription factors, epigenetic alterations, and ubiquitin-proteasome system

The uterus and breasts are hormone-responsive tissues. Progesterone and estradiol regulate gonadotropin secretion, prepare the endometrium for implantation, maintain pregnancy, and regulate the differentiation of breast tissue. Dysregulation of these hormones causes endometriosis, endometrial cancer, and breast cancer, damaging the physical and mental health of women. Emerging evidence has shown that progesterone resistance or elevated progesterone activity is the primary hormonal substrate of these diseases. Since progesterone acts through its specific nuclear receptor, the abnormal expression of the progesterone receptor (PR) dysregulates progesterone function. This review discusses the regulatory mechanisms of PR expression in patients with endometriosis, and endometrial or breast cancer, including estrogen, polymorphisms, transcription factors, epigenetics, and the ubiquitin-proteasome system. (1) Estrogen promotes the expression of PRA (a PR isoform) mRNA and protein through the interaction of estrogen receptors (ERs) and Sp1 with half-ERE/Sp1 binding sites. ERs also affect the binding of Sp1 and Sp1 sites to promote the expression of PRB (another PR isoform)(2) PR polymorphisms, mainly PROGINS and + 331 G/A polymorphism, regulate PR expression by affecting DNA methylation and transcription factor binding. (3) The influence of epigenetic alterations on PR expression occurs through DNA methylation, histone modification, and microRNA. (4) As one of the main protein degradation pathways in vivo, the ubiquitin-proteasome system (UPS) regulates PR expression by participating in protein degradation. These mechanisms may provide new molecular targets for diagnosing and treating endometriosis, endometrial, and breast cancer.

Progesterone Receptor Gene Polymorphisms and Breast Cancer Risk

The objective of this systematic review was to investigate the association between polymorphisms in the progesterone receptor gene (PGR) and breast cancer risk. A search of PubMed, Scopus, and Web of Science databases was performed in November 2021. Study characteristics, minor allele frequencies, genotype frequencies, and odds ratios were extracted. Forty studies met the eligibility criteria and included 75 032 cases and 89 425 controls. Of the 84 PGR polymorphisms reported, 7 variants were associated with breast cancer risk in at least 1 study. These polymorphisms included an Alu insertion (intron 7) and rs1042838 (Val660Leu), also known as PROGINS. Other variants found to be associated with breast cancer risk included rs3740753 (Ser344Thr), rs10895068 (+331G/A), rs590688 (intron 2), rs1824128 (intron 3), and rs10895054 (intron 6). Increased risk of breast cancer was associated with rs1042838 (Val660Leu) in 2 studies, rs1824128 (intron 3) in 1 study, and rs10895054 (intron 6) in 1 study. The variant rs3740753 (Ser344Thr) was associated with decreased risk of breast cancer in 1 study. Mixed results were reported for rs590688 (intron 2), rs10895068 (+331G/A), and the Alu insertion. In a pooled analysis, the Alu insertion, rs1042838 (Val660Leu), rs3740753 (Ser344Thr), and rs10895068 (+331G/A) were not associated with breast cancer risk. Factors reported to contribute to differences in breast cancer risk associated with PGR polymorphisms included age, ethnicity, obesity, and postmenopausal hormone therapy use. PGR polymorphisms may have a small contribution to breast cancer risk in certain populations, but this is not conclusive with studies finding no association in larger, mixed populations.

Association of the PROGINS PgR polymorphism with susceptibility to female reproductive cancer: A meta-analysis of 30 studies

Aims

The progesterone response of the nuclear progesterone receptor plays an important role in the female reproductive system. Changes in the function of the progesterone receptor gene may increase the risk of reproductive cancer. The present study performed a meta-analysis to examine whether the progesterone receptor gene PROGINS polymorphism was a susceptibility factor for female reproductive cancer.

Materials and methods

We searched the PubMed, Cochrane Library, Web of Science and EMBASE databases for literature on PROGINS polymorphisms and female reproductive cancer published before September 2020. We evaluated the risk using odds ratios [ORs] and 95% confidence intervals via fixed effects models and random-effects models, which were calculated for all five genetic models. We grouped the analyses by race, cancer, and HWE.

Results

Thirty studies comprised of 25405 controls and 19253 female reproductive cancer cases were included in this meta-analysis. We observed that the Alu insertion polymorphism and the V660L polymorphism were significantly associated with female reproductive cancer in the allele and dominant genetic models. The allele genetic model and (Alu-insertion polymorphism: OR = 1.22, 95% CI = 1.02–1.45; V660L polymorphism: OR = 1.02, 95% CI = 1.00–1.13) dominant genetic model (Alu-insertion polymorphism: OR = 1.27, 95% CI = 1.03–1.58; V660L polymorphism: OR = 1.10, 95% CI = 1.011.19) demonstrated a significantly increased risk of female reproductive cancer. A subgroup analysis according to ethnicity found that the Alu insertion was associated with female reproductive cancer incidence in white (Allele model: OR = 1.21, 95% CI = 1.00–1.45; Heterozygous model: OR = 3.44, 95% CI = 1.30–9.09) and Asian (Dominant model: OR = 3.12, 95% CI = 1.25–7.79) populations, but the association disappeared for African and mixed racial groups. However, the V660L polymorphism was significantly associated with female reproductive cancer in the African (Allele model: OR = 2.52, 95% CI = 1.14–5.56; Heterozygous model: OR = 2.83, 95% CI = 1.26–6.35) and mixed racial groups (Dominant model: OR = 1.28, 95% CI = 1.01–1.62). Subgroup analysis by cancer showed that the PROGINS polymorphism increased the risk of cancer in the allele model, dominant mode and heterozygous model, but the confidence interval for this result spanned 1 and was not statistically significant. This sensitivity was verified in studies with HWE greater than 0.5.

Conclusion

Our meta-analysis showed that the progesterone receptor gene Alu insertion and the V660L polymorphism contained in the PROGINS polymorphism were susceptibility factors for female reproductive cancer.

Genetic variation in progesterone receptor gene and ovarian cancer risk: A case control study

BACKGROUND

Previous studies examined the association of genetic variation in progesterone receptor (PR) gene (PGR) with ovarian cancer, possibly by altering the expression of PR-B isoform, but with mixed outcome.

OBJECTIVE

This study evaluated the association of PGR variants with ovarian cancer and associated features.

METHODS

This was a retrospective case-control study, which involved 82 women with ovarian cancer and 95 cancer-free women who served as controls. Genotyping was done by Taqman® SNP genotyping by qRT-PCR. The PGR variants tested were rs471767 (A > G), rs590688 (G > C), and rs10895068 (G > A). Stratification analyses were used for testing the correlation between the PGR variants with ovarian cancer susceptibility according to menstruation status, FIGO classification, pathological grade, and chemotherapy.

RESULTS

Significantly lower minor allele frequency (MAF) of rs10895068 was seen among ovarian cancer patients, thereby imparting disease protective nature to this variant. Significant association of rs10895068 genotypes with ovarian cancer was seen under the dominant model, but not other genetic models. FIGO classification correlated positively with rs471767 and rs10895068, while rs10895068 correlated positively with lymph node positivity. Three-locus haplotype analysis identified ACA and HCG haplotypes to be negatively associated with the risk of ovarian cancer.

CONCLUSIONS

This report confirms the contribution of PGR variants, specifically the rs10895068 (+331G/A) the etiology of ovarian cancer.

Effect of steroid hormone receptor gene variants PROGINS (Alu insertion) and PGR C/T (rs1042839) as a risk factor for recurrent pregnancy loss in Kashmiri population (North India)

AIM

To unveil and evaluate the association and analyze the incidence and pattern of PGR gene polymorphisms (PROGINS insertion and PGR exon 5-C/T polymorphism) in recurrent pregnancy loss (RPL) couples of Kashmir.

METHODS

In this study, analyses of PGR gene polymorphisms in RPL couples were genotyped by amplification-refractory mutation system polymerase chain reaction (PCR) and PCR-restriction fragment length polymorphism.

RESULTS

Molecular analysis of PGR gene polymorphisms indicated that the genotypic and allelic frequencies of PROGINS insertion and PGR exon 5 C/T polymorphisms of female group in cases and controls to be significantly different and poses risk in predisposition to RPL. Moreover, haplotype analysis in female group revealed that P1P2/CC and P1P2/CT genotype are significantly associated with RPL.

CONCLUSION

Our data indicate that the PROGINS insertion and exon 5-C/T polymorphism can act as useful genetic markers in the female group, but needs to be replicated in further studies including various other single nucleotide polymorphisms of PGR gene relevant to pregnancy loss which may contribute to novel therapeutic targets with improved conclusions.

Leveraging Antiprogestins in the Treatment of Metastatic Breast Cancer

Although incurable, the prognosis for patients with metastatic breast cancer (MBC) has considerably improved with the approvals of multiple targeted and cytotoxic therapies. For hormone receptor-positive (HR+), ie, estrogen receptor and progesterone receptor positive (ER+/PgR+) and human epidermal growth factor receptor-2 negative (ie, ERBB2 gene nonamplified or HER2-) MBC, current approved treatment options include palliative endocrine therapy (ET), cyclin-dependent kinase (CDK 4/6) inhibitors, mTOR inhibitors, and PI3 kinase inhibitors. Most treatments target ER+ disease regardless of PgR status. Although the presence of PgR is crucial for ER+ cell proliferation in both normal and malignant mammary tissue, currently, there are no approved treatments that specifically target PgR. Recent literature has demonstrated the potential of antiprogestins in the treatment of MBC both in preclinical and clinical studies. Antiprogestins, including selective PgR modulators (SPRMs) that act as PgR antagonists, are a promising class of therapeutics for overcoming endocrine resistance in patients who develop activating estrogen receptor 1 (ESR1) and phosphatidylinositol 3-kinase (PI3K) gene mutations after prior endocrine therapy. Herein, we summarize the role of PgR and antiprogestins in the treatment of MBC. Other aspects on the use of functional imaging, clinical trials incorporating novel antiprogestins, and potential treatment combinations to overcome endocrine resistance will be briefly discussed.

Involvement of single nucleotide polymorphisms in ovarian poor response

PURPOSE

Unpredictability in acquiring an adequate number of high-quality oocytes following ovarian stimulation is one of the major complications in controlled ovarian hyperstimulation (COH). Genetic predispositions of variations could alter the immunological profiles and consequently be implicated in the variability of ovarian response to the stimulation.

DESIGN

Uncovering the influence of variations in AMHR2, LHCGR, MTHFR, PGR, and SERPINE1 genes with ovarian response to gonadotrophin stimulation in COH of infertile women.

METHODS

Blood samples of the women with a good ovarian response (GOR) or with a poor ovarian response (POR) were collected. Genomic DNA was extracted, and gene variations were genotyped by TaqMan SNP Genotyping Assays using primer-probe sets or real-time PCR Kit.

RESULTS

Except for PGR (rs10895068), allele distributions demonstrate that the majority of POR patients carried minor alleles of AMHR2 (rs2002555, G-allele), LHCGR (rs2293275, G-allele), MTHFR (rs1801131, C-allele, and rs1801133, T-allele), and SERPINE1 (rs1799889, 4G allele) genes compared to the GOR. Similarly, genotypes with a minor allele in AMHR2, LHCGR, MTHFR, and SERPINE1 genes had a higher prevalence among POR patients with the polymorphic genotypes. However, further genotype stratification indicated that the minor alleles of these genes are not associated with poor response. Multivariate logistic analysis of clinical-demographic factors and polymorphic genotypes demonstrated a correlation between FSH levels and polymorphic genotypes of SERPINE1 in poor response status.

CONCLUSIONS

Despite a higher prevalence of AMHR2, LHCGR, MTHFR, and SERPINE1 variations in the patients with poor ovarian response, it seems that these variations are not associated with the ovarian response.

Genetic variations in estrogen and progesterone pathway genes in preeclampsia patients and controls in Bavaria

PURPOSE

Hypertensive pregnancy disorders and preeclampsia are major causes of maternal and fetal morbidity and mortality worldwide. Many different organs are involved in the diseases' clinical phenotype. The underlying mechanism is still unknown, with a possible genetic component. This case-control study investigated effects on the risk of preeclampsia of genetic variations (single nucleotide polymorphisms, SNPs) in the estrogen and progesterone pathway genes.

METHODS

The study included 167 patients with preeclampsia and 115 healthy controls from the "Franconian Maternal Health Evaluation Studies" (FRAMES). All patients completed an epidemiological questionnaire, data from which were correlated with prospective data on pregnancy and labor. DNA was isolated from blood samples and genotyping was done by PCR. Variants in the aromatase gene CYP19A1 (rs10046, rs4646), progesterone receptor gene (rs1042838, rs10895068), and estrogen receptor-α gene (rs488133) were examined, and the genotype distribution in the two groups was analyzed statistically.

RESULTS

A significant difference in the distribution frequency of genotypes between preeclampsia patients and controls was identified in one of the five SNPs. For rs10895068 in the progesterone receptor gene, genotype G/A was significantly more frequent among cases than controls (P = 0.023). No significant differences between the two cohorts were found in the other SNPs.

CONCLUSIONS

This study showed a significant association between only one SNP in the progesterone receptor and preeclampsia. Other studies have also noted genetic aspects of preeclampsia. The underlying mechanism and causal relationship are not yet known, and further research is needed to explain the extent of genetic variations and the causal relationship in preeclampsia.

Progesterone Receptor Gene Variants in Metastatic Estrogen Receptor Positive Breast Cancer

Tumor mutations in the gene encoding estrogen receptor alpha (ESR1) have been identified in metastatic breast cancer patients with endocrine therapy resistance. However, relatively little is known about the occurrence of mutations in the progesterone receptor (PGR) gene in this population. The study objective was to determine the frequency and prognostic significance of tumor PGR mutations for patients with estrogen receptor (ER)-positive metastatic breast cancer. Thirty-five women with metastatic or locally recurrent ER+ breast cancer were included in this IRB-approved, retrospective study. Targeted next-generation sequencing of the PGR gene was performed on isolated tumor DNA. Associations between mutation status and clinicopathologic factors were analyzed as well as overall survival (OS) from time of metastatic diagnosis. The effect of the PGR variant Y890C (c.2669A>G) identified in this cohort on PR transactivation function was tested using ER-PR- (MDA-MB-231), ER+PR+ (T47D), and ER+PR- (T47D PR KO) breast cancer cell lines. There were 71 occurrences of protein-coding PGR variants in 67% (24/36; 95% CI 49-81%) of lesions. Of the 49 unique variants, 14 are single nucleotide polymorphisms (SNPs). Excluding SNPs, the median OS of patients with PGR variants was 32 months compared to 79 months with wild-type PGR (p = 0.42). The most frequently occurring (4/36 lesions) non-SNP variant was Y890C. Cells expressing Y890C had reduced progestin-stimulated PR transactivation compared to cells expressing wild-type PR. PGR variants occur frequently in ER+ metastatic breast cancer. Although some variants are SNPs, others are predicted to be functionally deleterious as demonstrated with Y890C PR.

Differential expression of progesterone receptor isoforms related to PGR +331g/a polymorphism in endometriosis: A case-control study

Background

Endometriosis are defined as a progesterone-resistance disease. Two progesterone receptor (PR) isoforms, namely PR-A and PR-B, mediate the special effects of progesterone. One of the most effective polymorphism in the promoter region of PGR is the +331G/A.

Objective

The differential expression level of PR isoforms due to +331G/A polymorphism may be able to influence the function of progesterone and reduce the susceptibility of endometriosis.

Materials and Methods

This analytic, case-control study was carried out at Royan Institute, Tehran, Iran. Whole-blood samples were collected from 98 infertile women undergoing laparoscopy for endometriosis and 102 healthy fertile women. After DNA extraction, genotype frequencies were determined by polymerase chain reaction-restriction fragment length polymorphism. Then, RNA was extracted from the selected eutopic tissue samples of endometriosis patients. Analysis of PR-A and PR-B mRNA expressions were performed using Real-time polymerase chain reaction.

Results

The frequency distribution of GG, GA genotypes in +331G/A polymorphism was 98.04%, 1.96% in the patients and 97.96%, 2.04% in the control groups, respectively (p = 0.968). Although our data did not show any significant association with +331G/A in the patient and control groups, we were able to demonstrate significantly higher expression level of PR-B and no significant lower expression level of PR-A isoforms in patients by favoring GA to GG genotypes (p = 0.017, p = 0.731, respectively).

Conclusion

Our findings show that patients with GA genotypes had a higher expression level of PR-B compared to patients with GG genotypes.

Water Pharmacophore: Designing Ligands using Molecular Dynamics Simulations with Water

In this study, we demonstrate a method to construct a water-based pharmacophore model which can be utilized in the absence of known ligands. This method utilizes waters found in the binding pocket, sampled through molecular dynamics. Screening of compound databases against this water-based pharmacophore model reveals that this approach can successfully identify known binders to a target protein. The method was tested by enrichment studies of 7 therapeutically important targets and compared favourably to screening-by-docking with Glide. Our results suggest that even without experimentally known binders, pharmacophore models can be generated using molecular dynamics with waters and used for virtual screening.

Candidate SNP markers of reproductive potential are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters

BACKGROUND

The progress of medicine, science, technology, education, and culture improves, year by year, quality of life and life expectancy of the populace. The modern human has a chance to further improve the quality and duration of his/her life and the lives of his/her loved ones by bringing their lifestyle in line with their sequenced individual genomes. With this in mind, one of genome-based developments at the junction of personalized medicine and bioinformatics will be considered in this work, where we used two Web services: (i) SNP_TATA_Comparator to search for alleles with a single nucleotide polymorphism (SNP) that alters the affinity of TATA-binding protein (TBP) for the TATA boxes of human gene promoters and (ii) PubMed to look for retrospective clinical reviews on changes in physiological indicators of reproductive potential in carriers of these alleles.

RESULTS

A total of 126 SNP markers of female reproductive potential, capable of altering the affinity of TBP for gene promoters, were found using the two above-mentioned Web services. For example, 10 candidate SNP markers of thrombosis (e.g., rs563763767) can cause overproduction of coagulation inducers. In pregnant women, Hughes syndrome provokes thrombosis with a fatal outcome although this syndrome can be diagnosed and eliminated even at the earliest stages of its development. Thus, in women carrying any of the above SNPs, preventive treatment of this syndrome before a planned pregnancy can reduce the risk of death. Similarly, seven SNP markers predicted here (e.g., rs774688955) can elevate the risk of myocardial infarction. In line with Bowles' lifespan theory, women carrying any of these SNPs may modify their lifestyle to improve their longevity if they can take under advisement that risks of myocardial infarction increase with age of the mother, total number of pregnancies, in multiple pregnancies, pregnancies under the age of 20, hypertension, preeclampsia, menstrual cycle irregularity, and in women smokers.

CONCLUSIONS

According to Bowles' lifespan theory-which links reproductive potential, quality of life, and life expectancy-the above information was compiled for those who would like to reduce risks of diseases corresponding to alleles in own sequenced genomes. Candidate SNP markers can focus the clinical analysis of unannotated SNPs, after which they may become useful for people who would like to bring their lifestyle in line with their sequenced individual genomes.

Genetic variation in the progesterone receptor gene and susceptibility to recurrent pregnancy loss: a case-control study

OBJECTIVE

To investigate the association of progesterone receptor (PGR) gene variants with susceptibility to recurrent pregnancy loss (RPL).

DESIGN

Retrospective case-control study.

SETTING

Outpatient obstetrics and gynaecology clinics.

POPULATION

Women with RPL (396), defined as three or more consecutive miscarriages of unknown aetiology, and 361 women used as controls.

METHODS

PGR genotyping was performed by the allelic exclusion method (real-time polymerase chain reaction).

MAIN OUTCOME MEASURES

PGR single nucleotide polymorphisms (SNPs) and the distribution of their alleles, genotypes and haplotypes.

RESULTS

Higher minor allele frequencies (MAFs) for rs590688, rs10895068, and rs1942836 were seen in RPL cases than in controls, which remained significant after controlling for multiple comparisons. Significantly higher frequencies of heterozygous (1/2) rs608995, along with heterozygous (1/2) and homozygous (2/2) rs590688, rs10895068, and rs1942836 genotype carriers, were seen between RPL cases versus controls, respectively, which persisted after controlling for age, body mass index (BMI), and menarche. The increased risk of RPL associated with rs590688 and rs1942836 was dependent on the number of minor alleles, thus suggesting a 'dose-dependent' effect associated with both variants. Varied linkage disequilibrium (LD) was noted between rs590688, rs10895068, rs608995, and rs1942836 PGR variants associated with RPL. Haplotypes with an increased frequency of CGTC and reduced frequency of GGAT were noted in women with RPL, compared with controls, thereby indicating these haplotypes as RPL-susceptible and RPL-protective, respectively. This association persisted after controlling for multiple comparisons, and after adjusting for covariates.

CONCLUSIONS

We have confirmed a positive association of specific PGR variants (rs590688, rs10895068, and rs1942836) and PGR haplotypes (ATGCCGTC and ATTCGGTC) with an increased risk of RPL, thereby supporting a role for PGR as an RPL candidate locus.

TWEETABLE ABSTRACT

Genetic variants in progesterone receptor gene are associated with increased risk of recurrent pregnancy loss.

Candidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters

BACKGROUND

Aggressiveness in humans is a hereditary behavioral trait that mobilizes all systems of the body-first of all, the nervous and endocrine systems, and then the respiratory, vascular, muscular, and others-e.g., for the defense of oneself, children, family, shelter, territory, and other possessions as well as personal interests. The level of aggressiveness of a person determines many other characteristics of quality of life and lifespan, acting as a stress factor. Aggressive behavior depends on many parameters such as age, gender, diseases and treatment, diet, and environmental conditions. Among them, genetic factors are believed to be the main parameters that are well-studied at the factual level, but in actuality, genome-wide studies of aggressive behavior appeared relatively recently. One of the biggest projects of the modern science-1000 Genomes-involves identification of single nucleotide polymorphisms (SNPs), i.e., differences of individual genomes from the reference genome. SNPs can be associated with hereditary diseases, their complications, comorbidities, and responses to stress or a drug. Clinical comparisons between cohorts of patients and healthy volunteers (as a control) allow for identifying SNPs whose allele frequencies significantly separate them from one another as markers of the above conditions. Computer-based preliminary analysis of millions of SNPs detected by the 1000 Genomes project can accelerate clinical search for SNP markers due to preliminary whole-genome search for the most meaningful candidate SNP markers and discarding of neutral and poorly substantiated SNPs.

RESULTS

Here, we combine two computer-based search methods for SNPs (that alter gene expression) {i} Web service SNP_TATA_Comparator (DNA sequence analysis) and {ii} PubMed-based manual search for articles on aggressiveness using heuristic keywords. Near the known binding sites for TATA-binding protein (TBP) in human gene promoters, we found aggressiveness-related candidate SNP markers, including rs1143627 (associated with higher aggressiveness in patients undergoing cytokine immunotherapy), rs544850971 (higher aggressiveness in old women taking lipid-lowering medication), and rs10895068 (childhood aggressiveness-related obesity in adolescence with cardiovascular complications in adulthood).

CONCLUSIONS

After validation of these candidate markers by clinical protocols, these SNPs may become useful for physicians (may help to improve treatment of patients) and for the general population (a lifestyle choice preventing aggressiveness-related complications).

Obesity-related known and candidate SNP markers can significantly change affinity of TATA-binding protein for human gene promoters

BACKGROUND

Obesity affects quality of life and life expectancy and is associated with cardiovascular disorders, cancer, diabetes, reproductive disorders in women, prostate diseases in men, and congenital anomalies in children. The use of single nucleotide polymorphism (SNP) markers of diseases and drug responses (i.e., significant differences of personal genomes of patients from the reference human genome) can help physicians to improve treatment. Clinical research can validate SNP markers via genotyping of patients and demonstration that SNP alleles are significantly more frequent in patients than in healthy people. The search for biomedical SNP markers of interest can be accelerated by computer-based analysis of hundreds of millions of SNPs in the 1000 Genomes project because of selection of the most meaningful candidate SNP markers and elimination of neutral SNPs.

RESULTS

We cross-validated the output of two computer-based methods: DNA sequence analysis using Web service SNP_TATA_Comparator and keyword search for articles on comorbidities of obesity. Near the sites binding to TATA-binding protein (TBP) in human gene promoters, we found 22 obesity-related candidate SNP markers, including rs10895068 (male breast cancer in obesity); rs35036378 (reduced risk of obesity after ovariectomy); rs201739205 (reduced risk of obesity-related cancers due to weight loss by diet/exercise in obese postmenopausal women); rs183433761 (obesity resistance during a high-fat diet); rs367732974 and rs549591993 (both: cardiovascular complications in obese patients with type 2 diabetes mellitus); rs200487063 and rs34104384 (both: obesity-caused hypertension); rs35518301, rs72661131, and rs562962093 (all: obesity); and rs397509430, rs33980857, rs34598529, rs33931746, rs33981098, rs34500389, rs63750953, rs281864525, rs35518301, and rs34166473 (all: chronic inflammation in comorbidities of obesity). Using an electrophoretic mobility shift assay under nonequilibrium conditions, we empirically validated the statistical significance (α < 0.00025) of the differences in TBP affinity values between the minor and ancestral alleles of 4 out of the 22 SNPs: rs200487063, rs201381696, rs34104384, and rs183433761. We also measured half-life (t1/2), Gibbs free energy change (ΔG), and the association and dissociation rate constants, ka and kd, of the TBP-DNA complex for these SNPs.

CONCLUSIONS

Validation of the 22 candidate SNP markers by proper clinical protocols appears to have a strong rationale and may advance postgenomic predictive preventive personalized medicine.

How to Use SNP_TATA_Comparator to Find a Significant Change in Gene Expression Caused by the Regulatory SNP of This Gene's Promoter via a Change in Affinity of the TATA-Binding Protein for This Promoter

The use of biomedical SNP markers of diseases can improve effectiveness of treatment. Genotyping of patients with subsequent searching for SNPs more frequent than in norm is the only commonly accepted method for identification of SNP markers within the framework of translational research. The bioinformatics applications aimed at millions of unannotated SNPs of the "1000 Genomes" can make this search for SNP markers more focused and less expensive. We used our Web service involving Fisher's Z-score for candidate SNP markers to find a significant change in a gene's expression. Here we analyzed the change caused by SNPs in the gene's promoter via a change in affinity of the TATA-binding protein for this promoter. We provide examples and discuss how to use this bioinformatics application in the course of practical analysis of unannotated SNPs from the "1000 Genomes" project. Using known biomedical SNP markers, we identified 17 novel candidate SNP markers nearby: rs549858786 (rheumatoid arthritis); rs72661131 (cardiovascular events in rheumatoid arthritis); rs562962093 (stroke); rs563558831 (cyclophosphamide bioactivation); rs55878706 (malaria resistance, leukopenia), rs572527200 (asthma, systemic sclerosis, and psoriasis), rs371045754 (hemophilia B), rs587745372 (cardiovascular events); rs372329931, rs200209906, rs367732974, and rs549591993 (all four: cancer); rs17231520 and rs569033466 (both: atherosclerosis); rs63750953, rs281864525, and rs34166473 (all three: malaria resistance, thalassemia).

Endometrial Endometrioid Carcinoma Metastases Show Decreased ER-Alpha and PR-A Expression Compared to Matched Primary Tumors

Patients with endometrial endometrioid carcinoma (EEC) that present with advanced primary disease and develop recurrences have a poor outcome. The phenotype of EEC metastases and recurrences is poorly studied. We evaluated the morphological features and ER-alpha/PRA/p53 immunohistochemical expression of a sample of 45 EEC metastases compared to matched primary tumors. Additionally, we studied methylation levels of ER-alpha/PRA gene promoters. The distribution of histological FIGO grade was significantly different in metastases, which disclosed higher grade than primary tumors (p = 0.005). Mitotic index was significantly lower in metastases compared to matched primary tumors (p<0.001). ER-alpha (p = 0.002) and PRA (p<0.001) median H-scores were significantly lower in metastases than in matched primary EECs, but there was no significant difference concerning p53 expression (p = 0.056). ER-alpha/PRA expression differences did not correlate with differences in metastases morphology. ER-alpha/PRA gene promoter levels were globally low (range: 0% to 11.9%). One case showed higher ER-alpha gene promoter methylation in metastasis compared to matched EEC primary tumor. Regarding PRA, there was a significant higher frequency of its promotor methylation in metastases compared to primary tumors (51.6% vs. 22.7%, p = 0.022). In conclusion, EEC metastatic disease displays phenotypic changes along with ER-alpha and PRA decreased expression compared to primary tumors. ER-alpha and PRA gene promoter methylation seems to play a limited role in the etiology of these alterations. PR expression assessment for hormonal treatment decision of patients with advanced tumors, may be more adequate in metastases than in EEC primary tumors.

Estrogen and progesterone receptor subtype expression in granulosa cells from women with polycystic ovary syndrome

We evaluated gene expression of estrogen and progesterone nuclear receptors in granulosa cells (GCs) of polycystic ovary syndrome (PCOS) women compared to women with normal cycling ovaries (control group) to achieve a better understanding of ovarian steroid status in patients with PCOS. In this prospective study, 40 patients with PCOS and 40 women with normal ovulatory function who underwent in vitro fertilization (IVF) for treatment of tubal and/or male infertility were recruited. Follicular fluid was collected from patients and GCs were isolated from follicular fluid and then were purified with Micro Beads conjugated to monoclonal anti-human CD45 antibodies. RNA was extracted and reverse transcription was performed. Gene expression of estrogen and progesterone receptors was determined by quantitative real time PCR (qRT-PCR). Estrogen receptor β (ERβ) expression was significantly higher than ERα expression in both groups (p < 0.002). ERα and ERβ mRNA expression in PCOS was significantly lower than control group (p < 0.002). The expression levels of PRA and PRB in PCOS was significantly lower than control group (p < 0.002). In conclusion, a significant reduction of these genes in GCs from follicles of women with PCOS could be considered as a sign for maturation defect or follicular arrest in GCs.

Cross-cancer pleiotropic analysis of endometrial cancer: PAGE and E2C2 consortia

Genome-wide association studies (GWAS) have identified a large number of cancer-associated single nucleotide polymorphisms (SNPs), several of which have been associated with multiple cancer sites suggesting pleiotropic effects and shared biological mechanisms across some cancers. We hypothesized that SNPs associated with other cancers may be additionally associated with endometrial cancer. We examined 213 SNPs previously associated with 14 other cancers for their associations with endometrial cancer in 3758 endometrial cancer cases and 5966 controls of European ancestry from two consortia: Population Architecture Using Genomics and Epidemiology and the Epidemiology of Endometrial Cancer Consortium. Study-specific logistic regression estimates adjusted for age, body mass index and the most significant principal components of genetic ancestry were combined using fixed-effect meta-analysis to evaluate the association between each SNP and endometrial cancer risk. A Bonferroni-corrected P value of 2.35×10(-4) was used to determine statistical significance of the associations. SNP rs7679673, ~6.3kb upstream of TET2 and previously reported to be associated with prostate cancer risk, was associated with endometrial cancer risk in the direction opposite to that for prostate cancer [meta-analysis odds ratio = 0.87 (per copy of the C allele), 95% confidence interval = 0.81, 0.93; P = 7.37×10(-5)] with no evidence of heterogeneity across studies (P heterogeneity = 0.66). This pleiotropic analysis is the first to suggest TET2 as a susceptibility locus for endometrial cancer.

The dynamics of nuclear receptors and nuclear receptor coregulators in the pathogenesis of endometriosis

BACKGROUND

Endometriosis is defined as the colonization and growth of endometrial tissue at anatomic sites outside the uterine cavity. Up to 15% of reproductive-aged women in the USA suffer from painful symptoms of endometriosis, such as infertility, pelvic pain, menstrual cycle abnormalities and increased risk of certain cancers. However, many of the current clinical treatments for endometriosis are not sufficiently effective and yield unacceptable side effects. There is clearly an urgent need to identify new molecular mechanisms that critically underpin the initiation and progression of endometriosis in order to develop more specific and effective therapeutics which lack the side effects of current therapies. The aim of this review is to discuss how nuclear receptors (NRs) and their coregulators promote the progression of endometriosis. Understanding the pathogenic molecular mechanisms for the genesis and maintenance of endometriosis as modulated by NRs and coregulators can reveal new therapeutic targets for alternative endometriosis treatments.

METHODS

This review was prepared using published gene expression microarray data sets obtained from patients with endometriosis and published literature on NRs and their coregulators that deal with endometriosis progression. Using the above observations, our current understanding of how NRs and NR coregulators are involved in the progression of endometriosis is summarized.

RESULTS

Aberrant levels of NRs and NR coregulators in ectopic endometriosis lesions are associated with the progression of endometriosis. As an example, endometriotic cell-specific alterations in gene expression are correlated with a differential methylation status of the genome compared with the normal endometrium. These differential epigenetic regulations can generate favorable cell-specific NR and coregulator milieus for endometriosis progression. Genetic alterations, such as single nucleotide polymorphisms and insertion/deletion polymorphisms of NR and coregulator genes, are frequently detected in ectopic lesions compared with the normal endometrium. These genetic variations impart new molecular properties to NRs and coregulators to increase their capacity to stimulate progression of endometriosis. Finally, post-translational modifications of NR coregulators, such as proteolytic processing, generate endometriosis-specific isoforms. Compared with the unmodified coregulators, these coregulator isoforms have unique functions that enhance the pathogenesis of endometriosis.

CONCLUSIONS

Epigenetic/genetic variations and posttranslational modifications of NRs and coregulators alter their original function so that they become potent 'drivers' of endometriosis progression.

Molecular determinants of context-dependent progesterone receptor action in breast cancer

The ovarian steroid hormone, progesterone, and its nuclear receptor, the progesterone receptor, are implicated in the progression of breast cancer. Clinical trial data on the effects of hormone replacement therapy underscore the importance of understanding how progestins influence breast cancer growth. The progesterone receptor regulation of distinct target genes is mediated by complex interactions between the progesterone receptor and other regulatory factors that determine the context-dependent transcriptional action of the progesterone receptor. These interactions often lead to post-translational modifications to the progesterone receptor that can dramatically alter receptor function, both in the normal mammary gland and in breast cancer. This review highlights the molecular components that regulate progesterone receptor transcriptional action and describes how a better understanding of the complex interactions between the progesterone receptor and other regulatory factors may be critical to enhancing the clinical efficacy of anti-progestins for use in the treatment of breast cancer.

Progesterone receptor PROGINS and +331G/A polymorphisms confer susceptibility to ovarian cancer: a meta-analysis based on 17 studies

Progesterone and its receptor, progesterone receptor (PGR), have been widely studied for their roles in the onset and development of ovarian cancer. Although numerous epidemiological studies have focused on the association of PGR PROGINS and +331G/A polymorphisms with ovarian cancer susceptibility, presently, available results remain controversial, in part due to low sample sizes. Thus, a meta-analysis is required to evaluate this association. A literature search of PubMed, Embase, Web of Science, CNKI, and CBM databases was performed to retrieve eligible studies published before August 15, 2013. Summary odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the strength of this association. All analyses were done using STATA 12.0 software (Stata Corp., College Station, TX, USA). Seventeen case-control studies with a total of 6,365 cases and 9,998 controls were identified. While no statistically significant association between the PROGINS allele and ovarian cancer risk was found in an overall analysis, a stratified analysis revealed that for Caucasians, never-oral contraceptive (OC) users, and serous tumor patients, there were statistically significant ORs for ovarian cancer risk associated with the mutated PROGINS allele. No significant association, however, between the +331G/A polymorphism and ovarian cancer susceptibility was observed in the overall analyses and subgroup analyses based on ethnicity and histological type. This meta-analysis provides evidence that the PROGINS allele occurs more frequently in ovarian cancer patients and especially in non-OC users and serous cancer patients, indicating that PROGINS may be a risk modifier. No significant association between the +331G/A polymorphism and ovarian cancer was found, even in stratified analyses by ethnicity and histological type. More detailed and well-designed studies are still needed to confirm the role of the PROGINS allele in ovarian cancer development.

High-resolution array-comparative genomic hybridization profiling reveals 20q13.33 alterations associated with ovarian endometriosis

OBJECTIVE

The purpose of this study is to investigate the potential genetic alterations at DNA level in patients with ovarian endometriosis by high-resolution array-based comparative genomic hybridization (array-CGH) analysis.

METHODS

Following the laparoscopic surgical and the post-operative pathological examination, genomic DNA was extracted from endometriomas of 11 women with endometriosis and endometrial tissue of the controls and analyzed by array-CGH. Real-time PCR was used for confirmation the result of array-CGH analysis and detected the DNA copy number variations of the eutopic endometrium from the five patients with the duplication in 20q13.33 region.

RESULTS

All 11 patients with ovarian endometriosis were diagnosed through the laparoscopic surgical and the post-operative pathological examination. We found occurrence of genomic duplication at 20q13.33 chromosomal region with gain of GATA5 and SLCO4A1 genes in 5 of 11 endometriomas from patients.

CONCLUSION

The results of the present study suggest that there was 20q13.33 duplication in women with ovarian endometriosis. This effect might be due to the alterations of GATA5 and SLCO4A1 genes in the gain region, through involving the metabolism of the steroid hormone.

Melatonin and ethanol intake exert opposite effects on circulating estradiol and progesterone and differentially regulate sex steroid receptors in the ovaries, oviducts, and uteri of adult rats

Chronic ethanol intake is associated with sex hormone disturbances, and it is well known that melatonin plays a key role in regulating several reproductive processes. We report the effects of ethanol intake and melatonin treatment (at doses of 100 μg/100 g BW/day) on sex hormones and steroid receptors in the ovaries, oviducts and uteri of ethanol-preferring rats. After 150 days of treatment, animals were euthanized, and tissue samples were harvested to evaluate androgen, estrogen, progesterone and melatonin receptor subunits (AR, ER-α and ER-β, PRA, PRB and MT1R, respectively). Melatonin decreased estradiol (E2) and increased progesterone (P4) and 6-sulfatoxymelatonin (6-STM), while an ethanol-melatonin combination reduced both P4 and E2. Ovarian AR was not influenced by either treatment, and oviduct AR was reduced after ethanol-melatonin combination. Oviduct ER-α, ER-β and uterine ER-β were down-regulated by either ethanol or melatonin. Conversely, ovarian PRA and PRB were positively regulated by ethanol and ethanol-melatonin combination, whereas PRA was down-regulated in the uterus and oviduct after ethanol consumption. MT1R was increased in ovaries and uteri of melatonin-treated rats. Ethanol and melatonin exert opposite effects on E2 and P4, and they differentially regulate the expression of sex steroid receptors in female reproductive tissues.

Association of +331G/A PgR polymorphism with susceptibility to female reproductive cancer: evidence from a meta-analysis

The progesterone receptor (PgR), a sex steroid hormone receptor that binds progesterone is critical for normal breast development. The PgR (+331G/A, rs10895068) promoter polymorphism is associated with cancer risk possibly by altering the expression of progesterone receptor B isoform. Previous studies have provided inconsistent results. To validate the association between the PgR +331G/A polymorphism and female reproductive cancer risk (breast, endometrial and ovarian cancer), we performed a meta-analysis of 19 studies (19,978 cases and 24,525 controls) by using the CMA Version 2 software. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of the associations. The overall results indicated that the variant allele and genotypes were associated with a mild increase in overall female reproductive cancer risk (A vs. G: OR = 1.063, 95% CI = 1.001–1.129; AA+AG vs. GG: OR = 1.067, 95% CI = 1.002–1.136). The results suggest that the PgR +331G/A polymorphism might be associated with an increased female reproductive cancer risk.

Polymorphism of genes and implantation failure

Implantation failure is the most frequent cause of pregnancy loss in couples who try to conceive, either in a natural way or using assisted reproductive techniques (ART). Identify the precise mechanisms of implantation failure can lead to identify couples at risk and also providing appropriate therapeutic options to affected couples. Despite the high prevalence of this disorder, a few causing factors are demonstrated so far. Recent studies indicate that genetic factors play an important role in the occurrence of recurrent implantation failure. Although some of these factors, such as numerical chromosomal aneuploidy are known to be causative factors, there are some other factors that solely increase susceptibility to this event. In the present review we try to list the genetic polymorphisms that are known as susceptibility factors in implantation failure.

Progestogen levels, progesterone receptor gene polymorphisms, and mammographic density changes: results from the Postmenopausal Estrogen/Progestin Interventions Mammographic Density Study

OBJECTIVE

Estrogen plus progestin therapy (EPT) in postmenopausal women increases breast cancer risk and mammographic density to a higher extent than does estrogen therapy alone. Data from the randomized placebo-controlled Postmenopausal Estrogen/Progestinv Interventions trial showed that EPT-induced increases in serum estrone and estrone sulfate levels were positively correlated with increases in mammographic density. Here, after adjusting for serum estrone and estrone sulfate levels, we investigated the roles of posttreatment serum progestogen increase and of progesterone receptor gene (PGR) genetic variations on changes in mammographic density.

METHODS

We measured the percent mammographic density and serum progestogen levels in 280 Postmenopausal Estrogen/Progestin Interventions trial participants randomized to EPT treatment. Analyses of genetic variations in PGR were limited to 260 white women for whom we successfully obtained PGR genotypes. We used linear regression analyses to determine how an increase in progestogen levels and PGR genetic variation influenced mammographic density change after EPT.

RESULTS

The increase in posttreatment serum progestogen level was positively associated with greater increases in mammographic density after adjustment for covariates (P trend = 0.044). Compared with women in the lowest quartile of serum progestogen level, women in the highest quartile experienced a 3.5% greater increase in mammographic density (P = 0.046). We did not find a strong indication that genetic variation in PGR was associated with mammographic density increase or modified the association with serum progestogen; however, confidence in these null findings is constrained by our small sample size.

CONCLUSIONS

Our results suggest that higher serum progestogen levels resulting from EPT treatment lead to greater increases in mammographic density.

Phosphorylated and sumoylation-deficient progesterone receptors drive proliferative gene signatures during breast cancer progression

INTRODUCTION

Progesterone receptors (PR) are emerging as important breast cancer drivers. Phosphorylation events common to breast cancer cells impact PR transcriptional activity, in part by direct phosphorylation. PR-B but not PR-A isoforms are phosphorylated on Ser294 by mitogen activated protein kinase (MAPK) and cyclin dependent kinase 2 (CDK2). Phospho-Ser294 PRs are resistant to ligand-dependent Lys388 SUMOylation (that is, a repressive modification). Antagonism of PR small ubiquitin-like modifier (SUMO)ylation by mitogenic protein kinases suggests a mechanism for derepression (that is, transcriptional activation) of target genes. As a broad range of PR protein expression is observed clinically, a PR gene signature would provide a valuable marker of PR contribution to early breast cancer progression.

METHODS

Global gene expression patterns were measured in T47D and MCF-7 breast cancer cells expressing either wild-type (SUMOylation-capable) or K388R (SUMOylation-deficient) PRs and subjected to pathway analysis. Gene sets were validated by RT-qPCR. Recruitment of coregulators and histone methylation levels were determined by chromatin immunoprecipitation. Changes in cell proliferation and survival were determined by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays and western blotting. Finally, human breast tumor cohort datasets were probed to identify PR-associated gene signatures; metagene analysis was employed to define survival rates in patients whose tumors express a PR gene signature.

RESULTS

'SUMO-sensitive' PR target genes primarily include genes required for proliferative and pro-survival signaling. DeSUMOylated K388R receptors are preferentially recruited to enhancer regions of derepressed genes (that is, MSX2, RGS2, MAP1A, and PDK4) with the steroid receptor coactivator, CREB-(cAMP-response element-binding protein)-binding protein (CBP), and mixed lineage leukemia 2 (MLL2), a histone methyltransferase mediator of nucleosome remodeling. PR SUMOylation blocks these events, suggesting that SUMO modification of PR prevents interactions with mediators of early chromatin remodeling at 'closed' enhancer regions. SUMO-deficient (phospho-Ser294) PR gene signatures are significantly associated with human epidermal growth factor 2 (ERBB2)-positive luminal breast tumors and predictive of early metastasis and shortened survival. Treatment with antiprogestin or MEK inhibitor abrogated expression of SUMO-sensitive PR target-genes and inhibited proliferation in BT-474 (estrogen receptor (ER)+/PR+/ERBB2+) breast cancer cells.

CONCLUSIONS

We conclude that reversible PR SUMOylation/deSUMOylation profoundly alters target gene selection in breast cancer cells. Phosphorylation-induced PR deSUMOylation favors a permissive chromatin environment via recruitment of CBP and MLL2. Patients whose ER+/PR+ tumors are driven by hyperactive (that is, derepressed) phospho-PRs may benefit from endocrine (antiestrogen) therapies that contain an antiprogestin.

Selected polymorphisms in sex hormone-related genes, circulating sex hormones and risk of endometrial cancer

BACKGROUND

The role of estrogen and progesterone in the development of endometrial cancer is well documented. Few studies have examined the association of genetic variants in sex hormone-related genes with endometrial cancer risk.

METHODS

We conducted a case-control study nested within three cohorts to examine the association of endometrial cancer risk with polymorphisms in hormone-related genes among 391 cases (92% postmenopausal at diagnosis) and 712 individually-matched controls. We also examined the association of these polymorphisms with circulating levels of sex hormones and SHBG in a cross-sectional analysis including 596 healthy postmenopausal women at blood donation (controls from this nested case-control study and from a nested case-control study of breast cancer in one of the three cohorts).

RESULTS

Adjusting for endometrial cancer risk factors, the A allele of rs4775936 in CYP19 was significantly associated (OR(per allele)=1.22, 95% CI=1.01-1.47, p(trend)=0.04), while the T allele of rs10046 was marginally associated with increased risk of endometrial cancer (OR(per allele)=1.20, 95% CI=0.99-1.45, p(trend)=0.06). PGR rs1042838 was also marginally associated with risk (OR(per allele)=1.25, 95% CI=0.96-1.61, p(trend)=0.09). No significant association was found for the other polymorphisms, i.e. CYP1B1 rs1800440 and rs1056836, UGT1A1 rs8175347, SHBG rs6259 and ESR1 rs2234693. Rs8175347 was significantly associated with postmenopausal levels of estradiol, free estradiol and estrone and rs6259 with SHBG and estradiol.

CONCLUSION

Our findings support an association between genetic variants in CYP19, and possibly PGR, and risk of endometrial cancer.

Polymorphisms in MSH2 gene and risk of gastric cancer, and interactions with lifestyle factors in a Chinese population

BACKGROUND

Although polymorphisms in DNA mismatch repair (MMR) gene MSH2 have been associated with risks of many cancers, little is known about their etiology role in gastric cancer (GC) and the potential interacting role with lifestyle factors known to damage DNA.

METHODS

A population-based study was conducted in 3 counties (Jintan, Taixing and Huaian) of Jiangsu Province, the high-risk areas of GC in China. We investigated the association of polymorphisms IVS12-6T>C and IVS10+12G>A in MSH2 gene with the risk of GC and the potential gene-lifestyle interaction.

RESULTS

The risk of GC was found to be associated with the IVS12-6C allele (CC vs TT, OR=2.34, 95% CI: 1.17-4.71) and IVS10+12A allele (GA or AA vs GG, OR=1.55, 95% CI: 1.14-2.21; and GA vs GG, OR=1.51, 95% CI: 1.04-2.17). Stratified analysis indicated that an increased risk of GC also was observed in: suspected familial subjects carrying the IVS12-6T>C (OR=1.68, 95% CI: 1.27-2.66) or IVS10+12G>A (OR=2.57, 95% CI: 1.53-4.10); or younger subjects carrying the IVS12-6T>C (OR=2.15, 95% CI: 1.24-3.91) or IVS10+12G>A (OR=2.23, 95% CI: 1.20-4.33); or male subjects carrying the IVS10+12G>A (OR=1.64; 95% CI: 1.10-2.54). Furthermore, the combined IVS12-6CC and IVS10+12AA genotypes also significantly increased the risk of GC (OR=2.12, 95% CI: 1.22-3.66). Statistically significant interactions were observed between: IVS10+12G>A and drinking, high pickled food or fried food intake (OR=2.32; 95% CI: 1.43-3.78, OR=2.55; 95% CI: 1.48-4.21 and OR=2.88; 95% CI: 1.70-4.94, respectively); and IVS12-6T>C and high pickled food intake or fried food intake (OR=2.65; 95% CI: 1.62-4.47 and OR=2.48; 95% CI: 1.42-4.13, respectively).

CONCLUSION

The IVS10+12G>A and IVS12-6T>C polymorphisms in MSH2 gene appear to be associated with risk of GC in this Chinese population. Risk for GC, stratified by related genotypes, was further modified by drinking, high pickled food or fried food intake. Larger prospective studies are needed to confirm these findings.

Mono-allelic retrotransposon insertion addresses epigenetic transcriptional repression in human genome

Background

Retrotransposons have been extensively studied in plants and animals and have been shown to have an impact on human genome dynamics and evolution. Their ability to move within genomes gives retrotransposons to affect genome instability.

Methods

we examined the polymorphic inserted AluYa5, evolutionary young Alu, in the progesterone receptor gene to determine the effects of Alu insertion on molecular environment. We used mono-allelic inserted cell lines which carry both Alu-present and Alu-absent alleles. To determine the epigenetic change and gene expression, we performed restriction enzyme digestion, Pyrosequencing, and Chromatin Immunoprecipitation.

Results

We observed that the polymorphic insertion of evolutionally young Alu causes increasing levels of DNA methylation in the surrounding genomic area and generates inactive histone tail modifications. Consequently the Alu insertion deleteriously inactivates the neighboring gene expression.

Conclusion

The mono-allelic Alu insertion cell line clearly showed that polymorphic inserted repetitive elements cause the inactivation of neighboring gene expression, bringing aberrant epigenetic changes.

Milk, dairy intake and risk of endometrial cancer: a 26-year follow-up

Estrogens have a central role in the etiology of endometrial cancer. Milk and dairy products are a source of steroid hormones and growth factors that might have physiological effects in humans. We hypothesized that high intakes of milk and dairy products are associated with an increased risk of endometrial cancer, particularly among postmenopausal women not using hormone therapy. This was a prospective cohort study with 68,019 female participants in the Nurses' Health Study aged 34-59 in 1980. Milk and dairy consumption were assessed in 1980, 1984, 1986, 1990, 1994, 1998 and 2002 as servings per day and the follow-up continued through 2006. The multivariate relative risks (RRs) of adenocarcinoma of the endometrium across categories of cumulatively averaged total dairy consumption compared with < 1 svg/day were: 0.94 (95% CI = 0.71-1.25) for 1-1.4 svg/day, 1.14 (0.87-1.49) for 1.5-1.9 svg/day, 1.10 (0.84-1.44) for 2-2.9 svg/day, 1.26 (0.94-1.70) for ≥ 3 svg/day (p for trend = 0.06). The association between total dairy intake and endometrial cancer was significant only among the postmenopausal women (for ≥ 3 svg/day RR = 1.41, 95% CI = 1.01-1.98, p for trend = 0.02) and was evident only among those who were not currently using hormone therapy (RR = 1.58, 95% CI = 1.05-2.36, p for trend = 0.003). Total dairy intake was not significantly associated with risk of preinvasive endometrial cancer. In conclusion, we observed a marginally significant overall association between dairy intake and endometrial cancer and a stronger association among postmenopausal women who were not using estrogen-containing hormones.

Progesterone receptor polymorphisms and clinical response to 17-alpha-hydroxyprogesterone caproate

OBJECTIVE

Seventeen-alpha-hydroxyprogesterone caproate (17-OHPC) reduces recurrent preterm birth (PTB). We hypothesized that single nucleotide polymorphisms in the human progesterone receptor (PGR) affect response to 17-OHPC in the prevention of recurrent PTB.

STUDY DESIGN

We conducted secondary analysis of a study of 17-OHPC vs placebo for recurrent PTB prevention. Twenty PGR gene single nucleotide polymorphisms were studied. Multivariable logistic regression assessed for an interaction between PGR genotype and treatment status in modulating the risk of recurrent PTB.

RESULTS

A total of 380 women were included; 253 (66.6%) received 17-OHPC and 127 (33.4%) received placebo. In all, 61.1% of women were African American. Multivariable logistic regression demonstrated significant treatment-genotype interactions (either a beneficial or harmful treatment response) for African Americans delivering<37 weeks' gestation for rs471767 and rs578029, and for Hispanics/Caucasians delivering<37 weeks' gestation for rs500760 and <32 weeks' gestation for rs578029, rs503362, and rs666553.

CONCLUSION

The clinical efficacy and safety of 17-OHPC for recurrent PTB prevention may be altered by PGR gene polymorphisms.

Polymorphisms in ESR1, ESR2 and HSD17B1 genes are associated with fertility status in endometriosis

OBJECTIVE

To investigate whether polymorphisms in genes involved in biosynthesis and signalling of sex steroids influence susceptibility to endometriosis and to infertility associated with it.

MATERIALS AND METHODS

Patients with endometriosis (n = 150) and fertile controls (n = 199) were genotyped for polymorphisms in oestrogen receptor genes ESR1 (rs2234693 - T/C single nucleotide polymorphism (SNP), dinucleotide (TA)(n) repeat) and ESR2 (dinucleotide (CA)(n) repeat), progesterone receptor gene PGR (rs10895068 - G/A SNP, 306-bp Alu-insertion), 17β-hydroxysteroid dehydrogenase type 1 gene HSD17B1 (rs605059 - A/G SNP), and aromatase gene CYP19A1 (rs10046 - C/T SNP, (TTTA)(n) tetranucleotide repeat, 3-bp TCT insertion/deletion polymorphism).

RESULTS

The HSD17B1 A/G SNP A allele increased overall endometriosis risk and the risk of stage I-II disease, while ESR1 longer (TA)(n) repeats only correlated with susceptibility to stage I-II endometriosis. When considering patients' fertility status, HSD17B1 A/G SNP A allele and ESR1 longer (TA)(n) repeats were associated with endometriosis accompanied by infertility, while ESR2 shorter (CA)(n) repeats were linked with endometriosis without infertility. Other polymorphisms were distributed similarly among patients and controls.

CONCLUSIONS

Genetic variants in ESR1, ESR2, and HSD17B1 genes could modify susceptibility to endometriosis and might influence the fertility status in endometriosis patients.

Progesterone receptor gene variants and risk of endometrial cancer

Prolonged excessive estrogen exposure unopposed by progesterone is widely accepted to be a risk factor for endometrial cancer development. The physiological function of progesterone is dependent upon the presence of its receptor [progesterone receptor (PGR)] and several studies have reported single nucleotide polymorphisms (SNPs) in the PGR gene to be associated with endometrial cancer risk. We sought to confirm the associations with endometrial cancer risk previously reported for four different PGR polymorphisms. A maximum of 2888 endometrial cancer cases and 4483 female control subjects from up to three studies were genotyped for four PGR polymorphisms (rs1042838, rs10895068, rs11224561 and rs471767). Logistic regression with adjustment for age, study, ethnicity and body mass index was performed to calculate odds ratios (ORs) and associated 95% confidence intervals (CIs) and P-values. Of the four SNPs investigated, only rs11224561 in the 3' region of the PGR gene was found to be significantly associated with endometrial cancer risk. The A allele of the rs11224561 SNP was associated with increased risk of endometrial cancer (OR per allele 1.31; 95% CI 1.12-1.53, P = 0.001, adjusted for age and study), an effect of the same magnitude and direction as reported previously. We have validated the endometrial cancer risk association with a tagSNP in the 3' untranslated region of PGR previously reported in an Asian population. Replication studies will be required to refine the risk estimate and to establish if this, or a correlated SNP, is the underlying causative variant.