Progesterone receptor variants associated with the PROGINS haplotype exhibit functional properties similar to those of wild-type progesterone receptor

The role of the progesterone receptor PROGINS variant in the development of fibromyalgia syndrome and its psychological findings

Fibromyalgia syndrome (FMS), a chronic pain disorder of unknown etiology, is more common in women. This suggests that biological sex is important. Therefore, we performed an analysis to determine whether the progesterone receptor (P GR) gene Alu insertion (named P ROGINS) variant is associated with an increased risk of FMS in the Turkish population. A total of 288 subjects, including 138 patients diagnosed with FMS according to the 2016 American College of Rheumatology criteria and 150 healthy subjects, were evaluated. Genotyping of the P GR P ROGINS variant was determined by polymerase chain reaction (P CR) analysis. The results of the analyses were evaluated for statistical significance. There were no subjects in the control group carrying the T2 allele. The P GR P ROGINS T1/T2 genotype was more prevalent in both all patients and female patients compared to all controls and female controls (p = 0.001, p = 0.003, respectively). A statistically significant relationship was observed in both all patients and female patients when compared to the control group according to T1/T1 vs. T1/T2+T2/T2 (p < 0.000, p < 0.001, respectively). The current study suggests that the P GR Alu insertion variant T2 allele might influence FMS susceptibility in the Turkish population. Large-sample sizes and studies of different ethnicities are required to further evaluate the association between this variant and FMS.

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.

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.

The Neandertal Progesterone Receptor

The hormone progesterone is important for preparing the uterine lining for egg implantation and for maintaining the early stages of pregnancy. The gene encoding the progesterone receptor (PGR) carries introgressed Neandertal haplotypes with two missense substitutions and a mobile Alu element. These Neandertal gene variants have reached nearly 20% frequency in non-Africans and have been associated with preterm birth. Here, we show that one of the missense substitutions appears fixed in Neandertals, while the other substitution as well as the Alu insertion were polymorphic among Neandertals. We show that two Neandertal haplotypes carrying the PGR gene entered the modern human population and that present-day carriers of the Neandertal haplotypes express higher levels of the receptor. In a cohort of present-day Britons, these carriers have more siblings, fewer miscarriages, and less bleeding during early pregnancy suggesting that the Neandertal progesterone receptor alleles promote fertility. This may explain their high frequency in modern human populations.

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.

The Alu-insertion progesterone receptor gene polymorphism is not associated with breast cancer: a meta-analysis

Background

The role of progesterone receptor (PGR) gene polymorphisms in breast cancer is still controversial. Here, we performed a meta-analysis to determine whether the Alu insertion is associated with an increased risk of breast cancer and, further, whether the Alu insertion contributes to the development of breast cancer.

Methods

Using database searches, we selected 10 controlled case studies that met a rigorous set of inclusion criteria; these studies included 2106 cases and 1660 controls. We generated odds ratios and 95% confidence intervals in order to determine the strength of the relationship between the Alu insertion and breast cancer incidence. We also performed additional subgroup analyses and sensitivity analyses to further clarify the relationship.

Results

Using a random effects model, we concluded that the Alu insertion was not associated with the risk of breast cancer under the dominant genetic model; the pooled OR was 1.025 (95% CI = 0.526–1.994, p = 0.943). When a subgroup analysis was performed according to ethnicity, we found that the Alu insertion was associated with breast cancer incidence in Indians and Indo-European mixed racial groups, but the association disappeared for patients of Caucasian or Latino decent.

Conclusions

Our meta-analysis showed that the Alu-insertion progesterone receptor gene polymorphism was not associated with breast cancer. These results provide further information regarding the association between the Alu insertion in the PGR gene and the incidence of breast cancer.

An exploratory study of host polymorphisms in genes that clinically characterize breast cancer tumors and pretreatment cognitive performance in breast cancer survivors

PURPOSE

Inspired by the hypothesis that heterogeneity in the biology of breast cancers at the cellular level may account for cognitive dysfunction symptom variability in survivors, the current study explored relationships between host single-nucleotide polymorphisms (SNPs) in 25 breast cancer-related candidate genes (AURKA, BAG1, BCL2, BIRC5, CCNB1, CD68, CENPA, CMC2, CTSL2, DIAPH3, ERBB2, ESR1, GRB7, GSTM1, MELK, MKI67, MMP11, MYBL2, NDC80, ORC6, PGR, RACGAP1, RFC4, RRM2, and SCUBE2), identified from clinically relevant prognostic multigene-expression profiles for breast cancer, and pretreatment cognitive performance.

PATIENTS AND METHODS

The sample (n=220) was comprised of 138 postmenopausal women newly diagnosed with early stage breast cancer and 82 postmenopausal age- and education-matched healthy controls without breast cancer. Cognitive performance was assessed after primary surgery but prior to initiation of adjuvant chemotherapy and/or hormonal therapy using a comprehensive battery of neuropsychological tests encompassing eight cognitive function composite domains: attention, concentration, executive function, mental flexibility, psychomotor speed, verbal memory, visual memory, and visual working memory. In total, 131 SNPs were included in the analysis. Standard and robust multiple linear regression modeling was used to examine relationships between each domain and the presence or absence of one or more minor alleles for each SNP. Genetic risk/protection scores (GRSs) were calculated for each domain to evaluate the collective effect of possession of multiple risk/protective alleles.

RESULTS

With the exception of CMC2, MMP11, and RACGAP1, significant (P<0.05) SNP main effect and/or SNP by future prescribed treatment group interactions were observed for every gene between at least one domain and one or more SNPs. All GRSs were found to be significantly (P<0.001) associated with each respective domain score.

CONCLUSION

Associations between host SNPs and computed GRSs and variability in pretreatment cognitive function performance support the study hypothesis, and warrant further investigations to identify biomarkers for breast cancer-related cognitive dysfunction.

RNA activation: promise as a new weapon against cancer

RNA activation (RNAa) is a novel mechanism in which short RNA duplexes, referred to as small activating RNAs (saRNAs), enable sequence-specific gene activation capable of lasting up to 2 weeks. RNAa was named in contrast to RNA interference (RNAi). Although many mysteries remain, increasing evidence demonstrates that RNAa not only provides a novel mechanism for the study of gene function and regulation, but also holds exciting potential for clinical translation to therapeutic modality against cancers. In this review, we will focus on the potential applications of RNAa in cancer studies and therapeutics.

Analyze association of the progesterone receptor gene polymorphism PROGINS with ovarian cancer risk

Results conflict on the association between progesterone receptor gene (PRG) polymorphism PROGINS and ovarian cancer risk, despite wide-ranging investigations. We therefore performed a meta-analysis of 4,285 ovarian cancer cases and 6,257 controls from 11 published case-control studies. The strength of association between PROGINS polymorphism and ovarian cancer susceptibility was assessed using pooled odds ratios (ORs) with corresponding 95 % confidence intervals (CIs). The results suggest no significant associations exist between PROGINS polymorphisms and ovarian cancer risk in overall comparisons in all genetic models (T2T2 vs. T1T1: OR = 1.37, 95 % CI = 0.89-2.12, P = 0.15; T1T2 vs. T1T1:OR = 1.09, 95 % CI = 0.88-1.35, P = 0.41; T1T2 + T2T2 vs. T1T1:OR = 1.15, 95 % CI = 0.94-1.40, P = 0.17; T2T2 vs. T1 T1 + T1T2:OR = 1.34, 95 % CI = 0.87-2.07, P = 0.18). In conclusion, the results of this meta-analysis indicate that the PRG polymorphism PROGINS is not associated with ovarian cancer risk when multiple ethnic groups or regions were considered overall.