Analysis of endometrial mRNA in patients with different pregnancy outcomes after immunotherapy: A cohort study
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1138716 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR29916117_1.fastq.gz | Fastqsanger.gz | |||
| SRR29916117_2.fastq.gz | Fastqsanger.gz | |||
| SRR29916118_1.fastq.gz | Fastqsanger.gz | |||
| SRR29916118_2.fastq.gz | Fastqsanger.gz | |||
| SRR29916119_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: The efficacy of immunomodulators in improving pregnancy outcomes in infertile patients is controversial, with some reports finding improvements in pregnancy outcomes and some studies finding lack of efficacy in unselected patient populations. Therefore, the aim of this study was to identify people who could benefit from immunotherapy. Methods: 29 patients who had at least one previous embryo transfer failure and planned to undergo another frozen-thawed embryo transfer (FET) cycle were included. Peripheral blood of the patients was collected for detection of serum cytokines, T cell subsets at D3-D9 days of menstrual cycle before FET, mRNA was extracted from endometrial tissues during the window of implantation (WOI) for analysis. All patients began treatment with immunomodulators, including prednisone, hydroxychloroquine, cyclosporine, on the first day of the FET cycle. They were divided into pregnant group and non-pregnant group according to clinical pregnancy. Results: There were no differences in cytokines and T cell subsets between the two groups. Functional annotation of endometrial mRNA revealed functional enrichment in leucocyte mediated immunity, innate immune response, regulation of T cell receptor (TCR) signaling, T cell activation and positive T cell selection. Conclusion: The cytokines and immune cell subsets of peripheral blood cannot accurately predict the outcome of pregnancy after immunotherapy, and endometrial biopsy on the WOI may be a target to identify people who benefit from immunotherapy.
2024-09-09 | GSE272778 | GEO
Project description:Recent studies are directed to decode the genetic signature of endometrial receptivity for better outcomes in assisted reproductive technologies. In this study, we aimed to understand the transcriptomic profile of midsecretory phase endometria of patients with recurrent pregnancy losses (RPL) and unexplained infertility (UI) by comparing with the endometria of healthy fertile women (Controls). In this prospective cohort study, we took endometrial samples from 24 patients with RPL, 24 patients with UI and 24 Controls at day 19-21 of the menstrual cycle. By performing genomic analysis, we assessed for differentially expressed genes (DEGs) and pathway analysis.
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Project description:Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies among fertile women. PCOS patients have been confirmed to be accompanied by an increased risk of pregnancy complication, and the exact cause is still unclear. Many factors may cause this situation, and impaired endometrial receptivity could be responsible for adverse pregnancy outcomes in PCOS. Unfortunately, there were still few researches about the molecular mechanisms regarding impaired endometrial receptivity. So we designed this study to explore the secretory endometrial proteome in PCOS patients.
2022-06-09 | PXD024735 | Pride
Project description:Pregnancy loss is the most common complication of human pregnancy. Recurrent early pregnancy loss (REPL) has multiple etiologies, including endometrial dysregulation leading to “suboptimal” implantation. Although the implantation process is tightly regulated in Eutherian (placental) mammals, the molecular factors contributing to dysregulated endometrial gene expression patterns in women with REPL are largely unknown. We hypothesized that genes that gained novel expression in the endometria of mammals that evolved in the Eutherian stemlineage, coincident with the evolution of pregnancy, are likely essential for establishment and maintenance of normal pregnancy and are, therefore, good candidates for genes whose expression may be dysregulated in disorders such as REPL. To test this hypothesis, we took an evolutionary forward genomics approach to characterize gene expression profiles of midsecretory endometria from women with REPL associated with abnormal endometria based either on histology or molecular expression of cyclin E. We identified 58 genes that were differentially expressed (P<0.001) between women with out-of-phase histological dating vs normal histology, and 81 genes that were differentially expressed (P<0.001) between women with abnormally elevated cyclin E levels vs normal cyclin E. Remarkably, genes that were recruited into endometrial expression during the evolution of pregnancy in Eutherian mammals were significantly enriched for dysregulated genes (P=0.002 for histology, P=0.021 for cyclin E), as well as for immune and signaling pathways with essential roles in endometrial biology. Thus, our novel evolutionary-based forward genomics approach identified genes whose dysregulation during the mid-secretory phase likely contributes to the molecular etiologies of recurrent early pregnancy loss. Total RNA obtained from mid luteal phase endometrium (two replicates per biopsy) from women with recurrent early pregnancy loss (REPL). Endometrial gene expression levels were compared 1) between women with out-of-phase (n=10) and normal histological dating (n=22), 2) between women with abnormally elevated (n=9) and normal (n=23) cyclin E levels. For 5 additional women with abnormally high cyclin E levels, biopsy samples were collected before and after progesterone treatment to investigate the gene expression profiles in response to progesterone.
2014-12-06 | E-GEOD-63901 | biostudies-arrayexpress
Project description:Proper action of the female sex steroids, 17β-estradiol (E2) and progesterone (P4) on endometrium is essential for fertility. Beyond its role in regulating the cell cycle, cyclin A2 (CCNA2) also mediates E2 and P4 signaling in vitro, but a potential role in modulating steroid action for proper endometrial tissue development and function is unknown. To fill this gap in our knowledge, we examined human endometrial tissue from fertile and infertile women for CCNA2 expression and correlated this with pregnancy outcome. Functional assessment of CCNA2 was validated in vivo using a conditional Ccna2 uterine deficient mouse model while in vitro function was assessed using human cell culture models. We found that CCNA2 expression was significantly reduced in endometrial tissue, specifically the stromal cells, from women undergoing in vitro fertilization who failed to achieve pregnancy. Conditional deletion of Ccna2 from mouse uterine tissue recapitulated the inability to achieve successful pregnancy which appears to be due to alterations in the process of decidualization, which was confirmed using in vitro models. From these studies, we conclude that CCNA2 expression during the proliferative/regenerative stage of the menstrual cycle acts as a safeguard allowing for proper steroid responsiveness, decidualization and pregnancy. When CCNA2 expression levels are insufficient there is impaired endometrial responsiveness, aberrant decidualization and loss of pregnancy.
2024-10-14 | GSE272413 | GEO
Project description:Non–small cell lung cancer (NSCLC) has an increasing number of targeted and systemic therapies allowing subsets of patients to achieve long–term durable benefit. Fundamental to understanding responses to a given therapy is comprehensive molecular characterization of the underlying tumor immune microenvironment (TIME). The TIME may inform models to predict immunotherapy outcomes and features to delineate therapeutic responses and clinical endpoints. We hypothesize that an integrated multi–omics approach will uncover interactions within the NSCLC TIME and identify novel biomarkers that are predictive of immunotherapy responses, thus aiding precision oncology. To develop a spatially resolved TIME model for NSCLC immunotherapy, we utilized a multi–omics approach, combining spatial mapping of protein expression at the single–cell resolution by Phenocycler Fusion (PCF) and multi–cellular readout whole transcriptome profiling at cellular compartment resolution by Digital Spatial Profiling (DSP–GeoMx–WTA). This approach facilitated a detailed examination of the TIME in NSCLC samples from patients undergoing first–line immunotherapy. We studied two independent cohorts of advanced NSCLC tissue samples, treated with PD–1–based immunotherapies. We derived gene signatures from cell type signatures to predict treatment outcomes using a multistage Least Absolute Shrinkage and Selection Operator (LASSO) approach. Our spatial proteomic analysis identified three distinct cell types, proliferating tumor cells, granulocytes, and vessels, associated with resistance to immunotherapy. A high proportion of these cell types demonstrated a hazard ratio (HR) of 3.8 (p = 0.004) in the Yale training cohort and 1.8 (p = 0.05) in the UQ validation cohort. In the response cell–type model, higher levels of M1 macrophages, M2 macrophages, and CD4 T cells had an HR of 0.4 (p = 0.019) in the training cohort and 0.49 (p = 0.036) in the validation. In the transcriptomic analysis, gene signatures derived from these cell types predicted outcomes with high accuracy. The resistance gene model, which included 8 genes associated with epithelial–mesenchymal transition (EMT) and cell migration, showed an HR of 5.3 (p < 0.001) in the Yale training cohort, 2.2 (p = 0.036) in the UQ validation cohort, and 1.7 (p = 0.042) in the Greece validation cohort. Conversely, the response gene model, consisting of 8 genes associated with immunomodulation, had an HR of 0.22 (p = 0.005) in the Yale training cohort, 0.38 (p = 0.034) in the UQ validation cohort, and 0.56 (p = 0.041) in the Greece validation cohort. Multivariable analysis, adjusting for age, sex, disease stage, prior chemotherapy, type of immunotherapy, line of immunotherapy, histology, and smoking status, confirmed that the resistance signature remained significantly associated with worse outcomes, while the response signature remained associated with improved outcomes in both the UQ and Greece cohorts. This research highlights the potential of a multi–omics cell typing and gene expression profiling approach in advancing NSCLC treatment toward precision oncology. By offering insights into the TIME and unveiling novel biomarkers, our model seeks to define resistance and to improve prediction of response to treatment.
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Project description:In order to try and identify characteristics of gene expression in the endometrium of women suffering infertility or recurrenty miscarriage, we performed RNAseq on endometrial pipelle biopsies from 20 women. The endometrial transcriptome in the mid-luteal phase of the cycle (window of implantation) is highly divergent in women suffering infertility or miscarriages. 20 mid-luteal endometrial biopsies were analysed from infertile women and patients suffering recurrent pregnancy loss.
2015-09-16 | E-GEOD-65099 | biostudies-arrayexpress
Project description:Infertility and adverse gynecological outcomes such as preeclampsia and miscarriage represent significant female reproductive health concerns. The spatiotemporal expression of growth factors indicates that they play an important role in pregnancy. The goal of this study is to define the role of the ERBB family of growth factor receptors in endometrial function. Using conditional ablation in mice and siRNA in primary human endometrial stromal cells, we identified the epidermal growth factor receptor (Egfr) to be critical for endometrial function during early pregnancy. While ablation of Her2 or Erbb3 led to only a modest reduction in litter size, mice lacking Egfr expression are severely subfertile. Pregnancy demise occurred shortly after blastocyst implantation due to defects in decidualization including decreased proliferation, cell survival, differentiation and target gene expression. To place Egfr in a genetic regulatory hierarchy, transcriptome analyses was used to compare the gene signatures from mice with conditional ablation of Egfr, wingless-related MMTV integration site 4 (Wnt4) or boneless morphogenic protein 2 (Bmp2); revealing that not only are Bmp2 and Wnt4 key downstream effectors of Egfr, but they also regulate distinct physiological functions. In primary human endometrial stromal cells, marker gene expression, a novel high content image-based approach and phosphokinase array analysis were used to demonstrate that EGFR is a critical regulator of human decidualization. Furthermore, inhibition of EGFR signaling intermediaries WNK1 and AKT1S1, members identified in the kinase array and previously unreported to play a role in the endometrium, also attenuate decidualization. These results demonstrate that EGFR plays an integral role in establishing the cellular context necessary for successful pregnancy via the activation of intricate signaling and transcriptional networks, thereby providing valuable insight into potential therapeutic targets.
2017-03-04 | GSE95666 | GEO
Project description:Pregnancy induces changes in the transcriptome of the bovine endometrium from 15 days after insemination. However, pregnancy is less likely to occur if cows had a postpartum bacterial infection of the uterus. We hypothesized that uterine bacterial infection alters the endometrial transcriptomic signature of pregnancy. To examine the endometrial transcriptomic signature of pregnancy, cows were inseminated 130 days after intrauterine infusion of pathogenic bacteria and endometrium was collected 16 days later for RNA sequencing. We found 171 pregnancy regulated genes in cows 146 days after bacterial infection. When comparing our findings with three previous studies that described the endometrial transcriptomic signature of pregnancy in healthy cows, 24 genes were consistently differentially expressed in pregnancy, including MX1, MX2 and STAT1. However, 12 pregnancy regulated genes were only found in the endometrium of healthy cows, including ISG15 and TRANK1. Furthermore, 28 pregnancy regulated genes were only found in the endometrium of cows following bacterial infection and these were associated with altered iNOS, TLR, and IL-7 canonical signaling pathways. Although 94 predicted upstream regulators were conserved amongst the studies, 14 were found only in the endometrium of pregnant healthy cows, and 5 were found only in cows following bacterial infection, including AIRE, NFKBIA, and DUSP1. In conclusion, there were both consistent and discordant features of the endometrial transcriptomic signature of pregnancy 146 days after intrauterine bacterial infusion. These findings imply that there is an essential transcriptomic signature of pregnancy, but that infection induces long term changes in the endometrium that affect the transcriptomic response to pregnancy.
2021-09-07 | GSE183149 | GEO
Project description:Pregnancy loss is the most common complication of human pregnancy. Recurrent early pregnancy loss (REPL) has multiple etiologies, including endometrial dysregulation leading to “suboptimal” implantation. Although the implantation process is tightly regulated in Eutherian (placental) mammals, the molecular factors contributing to dysregulated endometrial gene expression patterns in women with REPL are largely unknown. We hypothesized that genes that gained novel expression in the endometria of mammals that evolved in the Eutherian stemlineage, coincident with the evolution of pregnancy, are likely essential for establishment and maintenance of normal pregnancy and are, therefore, good candidates for genes whose expression may be dysregulated in disorders such as REPL. To test this hypothesis, we took an evolutionary forward genomics approach to characterize gene expression profiles of midsecretory endometria from women with REPL associated with abnormal endometria based either on histology or molecular expression of cyclin E. We identified 58 genes that were differentially expressed (P<0.001) between women with out-of-phase histological dating vs normal histology, and 81 genes that were differentially expressed (P<0.001) between women with abnormally elevated cyclin E levels vs normal cyclin E. Remarkably, genes that were recruited into endometrial expression during the evolution of pregnancy in Eutherian mammals were significantly enriched for dysregulated genes (P=0.002 for histology, P=0.021 for cyclin E), as well as for immune and signaling pathways with essential roles in endometrial biology. Thus, our novel evolutionary-based forward genomics approach identified genes whose dysregulation during the mid-secretory phase likely contributes to the molecular etiologies of recurrent early pregnancy loss.
2014-12-06 | GSE63901 | GEO