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

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.

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.

Molecular Evaluation of PROGINS Mutation in Progesterone Receptor Gene and Determination of its Frequency, Distribution Pattern and Association with Breast Cancer Susceptibility in Saudi Arabia

AIMS

Experimental and clinical evidence demonstrate that progesterone hormone and its nuclear receptor, the Progesterone Receptor (PR), play critical role in controlling mammary gland tumorigenesis and breast cancer development. Hormonal therapy (Tomaxifen) is the frontline treatment for hormone-dependent breast cancers. Progesterone hormone induces its action on the target cells by binding with its Progesterone receptor (PgR) therefore any genetic variations, which might induce alienation in the progesterone receptor, can result in an increased susceptibility of gynecological cancers. Alu insertion (PROGINS) mutation in PgR gene is reported to be associated with an increased risk of ovarian cancer and a decreased risk of breast cancer. However, its association with breast cancer risk remains inconclusive. Therefore, we investigated the association of PROGINS allele and its link with breast cancer risk.

METHODS

This case control study was performed on 200 subjects in which 100 were breast cancer cases and 100 gender matched healthy controls.The mutation was detected by using mutation specific PCR and results were confirmed by direct Sanger sequencing.

RESULTS

A clinically significant difference was reported in genotype distribution of PROGINs allele among the cases and gender-matched healthy controls (P<0. 032). Genotype frequencies of A1/A1, A1/A2, A2/A2 reported in cases was 81%, 19% (18% & 1%) and in matched healthy controls were 93%, 7% (6% & 1%). The higher frequency of PROGINs allele (19%) was observed in cases than the healthy controls (7%). The findings indicated that PgR variants (CC vs CT) increased the risk of Breast cancer in codominant inheritance model with OR= 3.44, 95% CI =1. 30-9.09, P<0.021) whereas nonsignificant association was found for CC vs TT genotypes with OR=1.14, 95% CI=0.07-18.658, P=0. 92. However, subgroup analysis revealed that CT + TT vs CC genotype increased the risk of breast cancer in dominant inheritance model tested OR = 3. 11, 95% CI = (1.24-7.79), P = 0.015). A nonsignificant association for PgR (CC+CT) vs TT) genotypes were reported in breast cancer OR = 1. 0, 95% CI= (0. 061-16.21), P=1) in recessive inheritance model tested. However, analysis with clinicalpathological variables revealed that the PROGINs allele is significantly associated with the distant metastasis and advanced stage of the disease.

CONCLUSION

The mutation specific PCR was successfully developed as an alternative to Sanger sequencing for the cost-effective detection for PROGINS allele of progesterone receptor gene. A clinically significant correlation of PROGINs allele was reported with the distant metastasis and advanced stage of the disease. Taken together, these results demonstrated that PROGINS variant is associated with an increased susceptibility to Breast cancer, providing novel insights into the genetic etiology and underlying biology of Breast carcinogenesis. Further studies with large sample sizes are required to validate our findings.

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.

Association of TGF-β1 Polymorphisms with Breast Cancer Risk: A Meta-Analysis of Case-Control Studies †

Reports on the association of TGF-β1 polymorphisms with breast cancer (BC) have been conflicting, inconsistent, inconclusive, and controversial. PubMed, EMBASE, and Google Scholar were used to identify studies on TGF-β1 polymorphisms and BC risk. Data were extracted independently, and of the initial 3043 studies, 39 case-control studies were eligible for inclusion in the meta-analysis. Information from these studies was extracted, and the overall associations of three TGF-β1 polymorphisms (TGF-β1 29>T/C, TGF-β1-509 C/T, and TGF-β1*6A) with BC risk were analyzed using overall allele, homozygous, heterozygous, recessive, and dominant models. None of the three TGF-β1 polymorphisms studied had a significant influence on the development of BC. However, stratified analysis revealed a positive correlation between the TGF-β1 29T>C polymorphism and BC risk according to a heterozygous model of the Asian population (odds ratio (OR) = 1.115, 95% confidence interval (CI) = 1.006–1.237, p = 0.039). Interestingly, this polymorphism was associated with lower odds of BC according to a heterozygous model of the Middle Eastern population (OR = 0.602, 95% CI = 0.375–0.966, p = 0.035). Thus, our analysis of large datasets indicates that the TGF-β1 29T>C polymorphism is significantly associated with BC risk in the Asian population. In contrast, the TGF-β1*6A and TGF-β1-509 C/T polymorphisms failed to show an association with BC.

Risk factors for endometrial cancer: An umbrella review of the literature

Although many risk factors could have causal association with endometrial cancer, they are also prone to residual confounding or other biases which could lead to over- or underestimation. This umbrella review evaluates the strength and validity of evidence pertaining risk factors for endometrial cancer. Systematic reviews or meta-analyses of observational studies evaluating the association between non-genetic risk factors and risk of developing or dying from endometrial cancer were identified from inception to April 2018 using PubMed, the Cochrane database and manual reference screening. Evidence was graded strong, highly suggestive, suggestive or weak based on statistical significance of random-effects summary estimate, largest study included, number of cases, between-study heterogeneity, 95% prediction intervals, small study effects, excess significance bias and sensitivity analysis with credibility ceilings. We identified 171 meta-analyses investigating associations between 53 risk factors and endometrial cancer incidence and mortality. Risk factors were categorised: anthropometric indices, dietary intake, physical activity, medical conditions, hormonal therapy use, biochemical markers, gynaecological history and smoking. Of 127 meta-analyses including cohort studies, three associations were graded with strong evidence. Body mass index and waist-to-hip ratio were associated with increased cancer risk in premenopausal women (RR per 5 kg/m2 1.49; CI 1.39-1.61) and for total endometrial cancer (RR per 0.1unit 1.21; CI 1.13-1.29), respectively. Parity reduced risk of disease (RR 0.66, CI 0.60-0.74). Of many proposed risk factors, only three had strong association without hints of bias. Identification of genuine risk factors associated with endometrial cancer may assist in developing targeted prevention strategies for women at high risk.

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.

The implication of single-nucleotide polymorphisms in ovarian hyperstimulation syndrome

Ovarian hyperstimulation syndrome (OHSS) is an undesirable complication in the course of ovarian stimulation. This kind of stimulation is aimed at acquiring a sufficient number of high-quality oocytes in in vitro fertilization (IVF). Whereas the predisposition to OHSS could be impacted by genetic polymorphisms in susceptible genes, the present study has been jointly conducted with an Iranian cohort to scrutinize its relevant implication. Genomic DNA was extracted from blood samples of patients with a normal ovarian response (NOR) or with OHSS. Samples were analyzed to detect polymorphisms MTHFR rs1801131, MTHFR rs1801133, AMHR2 rs2002555, LHCGR rs2293275, PGR rs10895068, and SERPINE1 rs1799889. Variations of MTHFR, AMHR2, LHCGR, and PGR genes were significantly associated with the developing OHSS. After correction for multiple analysis, this difference was not evident for PGR genotypes. The polymorphic alleles of MTHFR (rs1801131 C-allele and rs1801133 T-allele), AMHR2 (rs2002555 G-allele), and LHCGR (rs2293275 G-allele) were significantly more prevalent among patients with OHSS compared to those in the NOR group. In contrast, the minor allele of PGR single-nucleotide polymorphism (SNP) (rs10895068, A-allele) was more prominent among patients with a NOR than those with OHSS. No significant difference was observed in genotypes or alleles of SERPINE1 rs1799889. The observations indicated that the minor alleles of MTHFR, AMHR2, and LHCGR genes could be considered an independent risk factor in susceptibility to OHSS. Nevertheless, polymorphic allele in the PGR rs10895068 SNP contributes to preventing OHSS occurrence. Therefore, it can be argued that these genes have a significant impact on OHSS.

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.

No association between the progesterone receptor gene polymorphism (+331G/a) and the risk of breast cancer: an updated meta-analysis

BACKGROUND

Many published studies have estimated the association between the +331G/A (rs10895068) polymorphism in the progesterone receptor (PgR) gene and breast cancer risk. However, the results remain inconsistent and controversial. To address this inconsistency, we systematically interrogated the aforementioned association via a meta-analysis.

METHODS

Through a literature search, we identified 13 case-control studies, including 12,453 cases and 14,056 case-free controls. The strengths of reported associations were evaluated using odds ratios (ORs) with 95% confidence intervals (95%CIs).

RESULTS

An association was found between +331G/A polymorphism and +331G/A risk in the dominant model (p = 0.027). Via subgroup analysis, we found no association between +331G/A and breast cancer risk in Caucasians, Asians or mixed racial groups.

CONCLUSIONS

Through meta-analysis, we were able to gain insight into previously reported associations between +331G/A polymorphism and breast cancer risk. However, further studies are still needed to provide more evidence.

ESR1 and PGR polymorphisms are associated with estrogen and progesterone receptor expression in breast tumors

Hormone receptor-positive (HR+) breast cancers express the estrogen (ERα) and/or progesterone (PgR) receptors. Inherited single nucleotide polymorphisms (SNPs) in ESR1, the gene encoding ERα, have been reported to predict tamoxifen effectiveness. We hypothesized that these associations could be attributed to altered tumor gene/protein expression of ESR1/ERα and that SNPs in the PGR gene predict tumor PGR/PgR expression. Formalin-fixed paraffin-embedded breast cancer tumor specimens were analyzed for ESR1 and PGR gene transcript expression by the reverse transcription polymerase chain reaction based Oncotype DX assay and for ERα and PgR protein expression by immunohistochemistry (IHC) and an automated quantitative immunofluorescence assay (AQUA). Germline genotypes for SNPs in ESR1 (n = 41) and PGR (n = 8) were determined by allele-specific TaqMan assays. One SNP in ESR1 (rs9322336) was significantly associated with ESR1 gene transcript expression (P = 0.006) but not ERα protein expression (P > 0.05). A PGR SNP (rs518162) was associated with decreased PGR gene transcript expression (P = 0.003) and PgR protein expression measured by IHC (P = 0.016), but not AQUA (P = 0.054). There were modest, but statistically significant correlations between gene and protein expression for ESR1/ERα and PGR/PgR and for protein expression measured by IHC and AQUA (Pearson correlation = 0.32-0.64, all P < 0.001). Inherited ESR1 and PGR genotypes may affect tumor ESR1/ERα and PGR/PgR expression, respectively, which are moderately correlated. This work supports further research into germline predictors of tumor characteristics and treatment effectiveness, which may someday inform selection of hormonal treatments for patients with HR+ breast cancer.

Association of estrogen and progesterone receptor gene polymorphisms and their respective hormones in uterine leiomyomas

The steroid hormones estradiol and progesterone play an important role in the pathophysiology of fibroids that occurs in 20-25 % of women in the reproductive age. Our study examines the risk imposed by estrogen and progesterone plasma levels in correlation with the ERβ (-13950T/C) and PGR (+331G/A) receptor gene polymorphisms. The study population included 296 individuals (146 UL cases and 150 female controls). Hormonal levels were estimated by ELISA and genotyping was carried out by PCR-RFLP analysis, and the obtained results were statistically analyzed. Estrogen levels were found to be high in cases with the "TC" genotype of ERβ receptor polymorphism compared to controls, whereas individuals with "GA" and "AA" genotype of PGR receptor polymorphism showed high progesterone levels for cases when compared to controls. The TC genotype of the ERβ receptor polymorphism and the GA and AA genotypes of the PGR receptor polymorphism and their respective hormonal levels can be developed as markers in the prediction of uterine fibroids.

Association between male infertility and either the +331G/A or the progins polymorphism of the progesterone receptor gene in a Chinese population

BACKGROUND

Progesterone has been suggested to contribute to the regulation of spermatogenesis and to facilitate the production of viable sperm. Investigations have showed that polymorphism of progesterone receptor (PGR) is associated with some diseases.

OBJECTIVE

To analyze the potential relationship between male infertility and the +331G/A and progins polymorphisms of PGR gene.

MATERIALS AND METHODS

The cross-sectional study was carried out at the Department of Male Reproduction, Reproductive Medical Center, the Second Hospital of Jilin University. The restriction fragment length polymorphism (RFLP) technique was used to detect gene point mutations. Of the 145 semen samples analyzed, 35 were asthenozoospermic, 50 were oligoasthenozoospermic, 21 were azoospermic, 11 were teratozoospermic and 28 were from fertile male subjects.

RESULTS

Statistical analyses revealed that the genotypes of the +331G/A polymorphisms were in Hardy-Weinberg equilibrium in both the fertile ((2)=0, p=0.534) and oligospermic groups ((2)=0.021, p=0.537). Similarly, the genotypes of the progins polymorphisms were also in Hardy-Weinberg equilibrium in both the fertile ((2)=0, p=1) and oligospermic groups ((2)=0.005, p=1).

CONCLUSION

Our results indicated that polymorphisms of the +331G/A and progins of the PGR gene are unrelated to male infertility, at least in a Chinese population.

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.

mEH Tyr113His polymorphism and the risk of ovarian cancer development

Background

The causes of ovarian cancer are complex and may be influenced by many factors, including polymorphism in the microsomal epoxide hydrolase (mEH) gene. Previous work suggests an association between the Tyr113His mEH polymorphism rs1051740 and susceptibility to ovarian cancer, but the results have been inconsistent.

Methods

PubMed, EMBASE, Google Scholar, and Chinese National Knowledge Infrastructure databases were systematically searched to identify relevant studies. A meta-analysis was performed to examine the association between Tyr113His mEH polymorphism and susceptibility to ovarian cancer. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated.

Results

Five studies involving 2,566 cases and 2,839 controls were included. Although the polymorphism did not affect ovarian cancer risk in the allelic contrast model (OR = 0.99, 95% CI = 0.83-1.17, P = 0.86), the mutant CC genotype was significantly associated with increased risk in the homozygote comparison (OR = 1.20, 95% CI = 1.01-1.43, P = 0.04) and recessive genetic models (OR = 1.20, 95% CI = 1.01-1.41, P = 0.03). The wild-type TT genotype was not associated with higher or lower ovarian cancer risk in the dominant genetic model (OR = 1.04, 95% CI = 0.83-1.29, P = 0.74). These results were robust to sensitivity analysis.

Conclusions

The CC genotype of Tyr113His mEH may confer increased risk of ovarian cancer. These conclusions should be verified in large and well-designed studies.