Dataset Information

Association study of the estrogen receptor gene ESR1 with postpartum depression--a pilot study.

ABSTRACT: Perinatal mood disorders, such as postpartum depression (PPD), are costly for society, with potentially serious consequences for mother and child. While multiple genes appear to play a role in PPD susceptibility, the contributions of specific genetic variations remain unclear. Previously implicated as a candidate gene, the estrogen receptor alpha gene (ESR1) is a key player in mediating hormonal differences during pregnancy and the postpartum period. This study addresses genetic factors in perinatal mood disorders, testing nine polymorphisms in ESR1. Two hundred fifty-seven postpartum women were screened for mood disorders, including 52 women with PPD and 32 without any symptoms of mood disorders. We detected a significant association for the upstream TA microsatellite repeat with Edinburgh Postnatal Depression Scale scores (p?=?0.007). The same variant was also associated with the occurrence of PPD. Separately, 11 candidate functional polymorphisms in 7 additional genes were genotyped to investigate gene-gene interaction with the ESR1 TA repeat, identifying a potential interaction with the serotonin transporter. Our results support a role for ESR1 in the etiology of PPD, possibly through the modulation of serotonin signaling. Our findings for ESR1 could have broad implications for other disorders and therapies that involve estrogens.

SUBMITTER: Pinsonneault JK

PROVIDER: S-EPMC3833886 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature

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Association study of the estrogen receptor gene ESR1 with postpartum depression--a pilot study.

Pinsonneault Julia K JK Sullivan Danielle D Sadee Wolfgang W Soares Claudio N CN Hampson Elizabeth E Steiner Meir M

Archives of women's mental health 20130807 6

Perinatal mood disorders, such as postpartum depression (PPD), are costly for society, with potentially serious consequences for mother and child. While multiple genes appear to play a role in PPD susceptibility, the contributions of specific genetic variations remain unclear. Previously implicated as a candidate gene, the estrogen receptor alpha gene (ESR1) is a key player in mediating hormonal differences during pregnancy and the postpartum period. This study addresses genetic factors in perin ...[more]

PMID: 23917948

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Project description:Single nucleotide polymorphisms (SNPs) involved in the estrogen pathway and SNPs in the estrogen receptor alpha gene (ESR1 6q25) have been linked to breast cancer development, and mammographic density is an established breast cancer risk factor. Whether there is an association between daily estradiol levels, SNPs in ESR1 and premenopausal mammographic density phenotypes is unknown.We assessed estradiol in daily saliva samples throughout an entire menstrual cycle in 202 healthy premenopausal women in the Norwegian Energy Balance and Breast Cancer Aspects I study. DNA was genotyped using the Illumina Golden Gate platform. Mammograms were taken between days 7 and 12 of the menstrual cycle, and digitized mammographic density was assessed using a computer-assisted method (Madena). Multivariable regression models were used to study the association between SNPs in ESR1, premenopausal mammographic density phenotypes and daily cycling estradiol.We observed inverse linear associations between the minor alleles of eight measured SNPs (rs3020364, rs2474148, rs12154178, rs2347867, rs6927072, rs2982712, rs3020407, rs9322335) and percent mammographic density (p-values: 0.002-0.026), these associations were strongest in lean women (BMI, ?23.6 kg/m2.). The odds of above-median percent mammographic density (>28.5 %) among women with major homozygous genotypes were 3-6 times higher than those of women with minor homozygous genotypes in seven SNPs. Women with rs3020364 major homozygous genotype had an OR of 6.46 for above-median percent mammographic density (OR: 6.46; 95 % Confidence Interval 1.61, 25.94) when compared to women with the minor homozygous genotype. These associations were not observed in relation to absolute mammographic density. No associations between SNPs and daily cycling estradiol were observed. However, we suggest, based on results of borderline significance (p values: 0.025-0.079) that the level of 17?-estradiol for women with the minor genotype for rs3020364, rs24744148 and rs2982712 were lower throughout the cycle in women with low (<28.5 %) percent mammographic density and higher in women with high (>28.5 %) percent mammographic density, when compared to women with the major genotype.Our results support an association between eight selected SNPs in the ESR1 gene and percent mammographic density. The results need to be confirmed in larger studies.

Project description:BACKGROUND:ESR1 mutations are frequently detected in ER+ MBC, and have been reported to be associated with endocrine therapy resistance. However, there are little researches to validate whether dynamic monitoring of ESR1 mutations could serve as a predictive plasma biomarker of acquired resistance to endocrine therapy. Therefore, in this study, we performed longitudinal circulating tumor DNA (ctDNA) detection to evaluate the clinical implications of monitoring ESR1 mutations. METHODS:We performed longitudinal dynamic mutation analyses of plasma samples from 45 patients with metastatic breast cancer (MBC) and sequencing paired biopsy tissues, using a targeted NGS panel of 425 genes. These patients were treated at the Second Affiliated Hospital of Dalian Medical University between January 2017 and February 2019 with written informed consent. RESULTS:Mutations profiles were highly concordant between plasma and paired tissue samples from 45 MBC patients (r = 0.96, P < 0.0001). ESR1 mutations were enriched in ER+ MBC patients after AI therapy (17.8%, 8/45). The median time from AI endocrine therapies to the initial detection of ESR1 mutation was 39 months (95% CI 21.32-57.57). Some hotspot mutations (Y537S (n = 5), Y537N (n = 1), D538G (n = 2), E380Q (n = 2)) and several rare mutations (L345SfsX7, 24fs, G344delinsGC) were identified in our cohort. In addition, we observed that two patients obtained multiple ESR1 mutations over the course of treatment (Y537N/Y537S/D538G, L345SfsX7/24fs/E380Q). Through dynamically monitoring ESR1 mutations by ctDNA, we demonstrated that the change of allele frequency of ESR1 mutations was an important biomarker, which could predict endocrine resistance of ER+ MBC in our study. We also observed that the combination of everolimus in four cases with acquired ESR1 mutations showed longer PFS than other therapies without everolimus. CONCLUSION:The dynamic monitoring of ESR1 mutations by ctDNA is a promising tool to predict endocrine therapy resistance in ER+ MBC patients.

Dataset Information

Association study of the estrogen receptor gene ESR1 with postpartum depression--a pilot study.

Publications

Association study of the estrogen receptor gene ESR1 with postpartum depression--a pilot study.

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