Objectives Alterations in 17β-estradiol metabolism are known to potentially impair endometrial receptivity. Previous pioneering studies have investigated the role of endometrial steroid metabolism by determining steroid hormone levels and steroid-metabolizing enzyme activity in endometrial biopsies of patients undergoing IVF. The activity of oxidative and reductive 17β-hydroxysteroid dehydrogenases (17β-HSDs), which catalyse the interconversion between estrone and 17β-estradiol, was found to be similar between IVF patients who - after fresh embryo transfer in the cycle following endometrial biopsy - did and did not become pregnant. However, inhibition of the reductive enzyme 17β-hydroxysteroid dehydrogenase type 1 (17β-HSD1), the most prominent 17β-HSD type in 17β-estradiol formation, was found to differ between groups. The primary objective of this study is to determine oxidative and reductive 17β-HSD enzyme activity in the endometrium of two well-defined groups: IVF patients with Recurrent Implantation Failure (RIF) and control patients. Design Prospective observational study of IVF patients with RIF (n=52) and controls (n=25). Patients undergoing treatment because of pre-implantation genetic testing, a severe male factor or bilateral tubal pathology were recruited as controls, since these conditions did not suggest an endometrial contribution to infertility. Participants/Materials, Setting, Methods Endometrial biopsies were obtained 5 to 8 days after a positive urine ovulation test in a natural cycle using a Pipelle catheter. Activity of oxidative and reductive enzymes, inhibition of 17β-HSD1, 5, 7 and 12 and immunostaining of 17β-HSD7 were performed. The formation of 17β-estradiol by reduction of estrone (reductive enzymes), formation of estrone by oxidation of 17β-estradiol (oxidative enzymes) and inhibition of specific 17β-HSD enzymes was determined using high performance liquid chromatography. Formalin fixed paraffin embedded tissue was used for immunostaining. The Student’s t-test and Mann-Whitney U test were used for statistical analysis. Multivariate analysis was used to determine the influence of confounders. Results No differences were found in activity of oxidative and reductive 17β-HSD enzymes in RIF patients and controls. Combined inhibition of 17β-HSD5, 7 and 12 was significantly lower in the RIF group compared to controls (p=0.04). Inhibition of 17β-HSD1 and 17β-HSD7 combined was also significantly lower (more production of 17β-estradiol remained) in the RIF group compared to controls (p<0.01). However, solely inhibiting 17β-HSD1 or 17β-HSD7 showed no significant difference between groups. Immunostaining revealed the expression of 17β-HSD7 in all endometrial samples. Limitations Results should be interpreted carefully due to possible cycle-to-cycle variation, challenges to translate in vitro findings biological conditions, and the heterogeneous aetiology of RIF. Conclusions Differences in formation of 17β-estradiol in the presence of two specific inhibitors of 17β-HSD1 and 7 between RIF patients and controls were found. Although 17β-HSD1, expressed at the fetal-maternal interface, has been associated with fertility, the potential role of 17β-HSD7 in human implantation has not been previously described. The observed differences between patients with RIF and controls warrant future research on the role of this main enzyme and its lesser-known 17β-HSD type in endometrial receptivity and implantation.
Is the endometrial synthesis and inactivation of 17β-estradiol by steroid-metabolizing enzymes altered between IVF patients with recurrent implantation failure (RIF) and control subjects? Synthesis and inactivation of 17β-estradiol were similar in the endometrium of RIF patients and control subjects, however, distinct steroid-metabolizing enzymes contributed to the 17β-estradiol synthesis. Implantation failure of high-quality embryos is a major concern in IVF/ICSI treatment. Blood sex-steroid concentrations do not correspond to their concentrations in endometrial tissue. This aligns with the concept that blood steroids (and their precursors) are converted to bioactive metabolites by steroid-metabolising enzymes expressed locally in the endometrium (also referred to as intracrinology). A class of these enzymes is represented by 17β-hydroxy-steroid-dehydrogenases (17β-HSDs), regulating the final step in 17β-estradiol production. Alterations in intracrinology and final 17β-estradiol production might modulate endometrial receptivity. The contribution of different types of endometrial 17β-HSD enzymes in 17β-estradiol production during the window of implantation is unknown. Observational cohort study (the MURIM study, NL7571), aimed at exploring differences in endometrial receptivity parameters among IVF patients with RIF versus control subjects, recruited between 2019 and 2024. For the present investigation, mid-luteal phase endometrial biopsies of RIF patients (n = 52) were compared with women that were presumed to be fertile (controls, n = 25). Additionally, RIF patients and control subjects were followed-up to determine their reproductive prognosis in the year after study participation. The study was conducted in our university-hospital. Endometrial biopsies were obtained at LH + 5-8 days (natural cycle). RIF was defined as failed implantation of≥three high-quality embryos or > 10 failed transfers. Exclusion criteria were BMI>35kg/m2, intrauterine pathology, or endocrine abnormalities. Patients with severe male factor/azoospermia, bilateral tubal pathology or pre-implantation genetic testing for hereditary disorders were recruited as control subjects. Synthesizing and inactivating 17β-HSDs and enzyme-inhibition was determined by high-performance liquid-chromatography and analysed with Student’s t-test and Mann-Whitney-U-test. Activity of 17β-HSDs responsible for reduction of estrone to 17β-estradiol (mainly 17β-HSD1, to a lesser extent 17β-HSD5, 17β-HSD7 and 17β-HSD12) did not differ between RIF patients and controls (1074.5 [IQR = 789.8–1519.8] vs. 1259 [749.5–1854.5] pmol 17β-estradiol/mg protein/hour, p = 0.31). The activity of the enzymes responsible for oxidizing 17β-estradiol (mainly 17β-HSD2) into the less active estrone were non-significantly different between RIF patients and controls (786.5 [509 – 1193.5] vs. 1012 [647 - 1532] pmol estrone/mg protein/hour, p = 0.21). An inhibition analysis was performed to determine the contribution of the different 17β-HSD types. Combined inhibition of the reductive 17β-HSD5, 17β-HSD7 and 17β-HSD12 resulted in a higher synthesis of 17β-estradiol in the presence of these inhibitors in RIF patients compared to controls (p = 0.04). Combined inhibition of 17β-HSDs1 and 17β-HSD7 also led to significantly higher synthesis of 17β-estradiol in the presence of these inhibitors in RIF patients (p < 0.01). Immunostaining detected 17β-HSD7 expression in all endometrial samples. A subgroup analysis was performed to compare RIF patients with a poor prognosis (no pregnancy during one-year follow-up, n = 18) with control subjects with ongoing pregnancy during one-year follow-up (n = 13). No statistically significant differences in oxidative and reductive activity were found between these groups (p = 0.75 and p = 0.71, respectively). Careful interpretation is necessary due to possible cycle-to-cycle variation, challenges in extrapolating in vitro outcomes to biological conditions, the heterogeneous aetiology of RIF patients with unknown embryo-ploidy status, and the assumption that the endometrium of control patients reflected a receptive state of the endometrium in the cycle of the biopsy. In the presence of 17β-HSD1 and 17β-HSD7 inhibitors, final 17β-estradiol levels differed significantly between groups. Although 17β-HSD1, expressed at the fetal-maternal interface, is associated with fertility, the role for 17β-HSD7 in embryo implantation remains unexplored. This warrants future research on how these specific hydroxysteroid-enzymes influence endometrial receptivity. Yes
Murine xenograft models are valuable and increasingly used preclinical tools in cancer research to understand disease pathogenesis and guide treatment options. The aim of this narrative review is to summarize the studies that employed mouse xenograft models, using cell lines, patient-derived tumors, or organoids, in endometrial cancer (EC) research, detailing their methodology and main findings. We identified 27 articles reporting on heterotopic EC xenografts, including subcutaneous, subrenal capsule, intraperitoneal, and retro-orbital models, and 18 articles using orthotopic xenografts. Subcutaneous xenografts generated using either cell lines or patient tumors have been widely used; however, their low engraftment rates and the inability to recapitulate main clinical features such as metastases limit their translational value. Subrenal capsule models showed improved engraftment rates compared to subcutaneous models, but tumors exhibited slower and constrained tumor growth. Orthotopic models are technically more challenging to generate and monitor, but tumor growth occurs in a relevant microenvironment and EC ortho-xenografts exhibit high engraftment rates and metastases to clinically relevant sites. Cell line-based xenograft (CDX) models are attractive tools because they are convenient, easy to use, and amenable to genetic modifications, making them suitable for proof-of-concept approaches and large-scale studies. EC xenografts developed from patient tumors (PDTXs) are more labor/cost-intensive for their establishment but can capture the genetic and molecular heterogeneity within and across histologic subtypes and can inform personalized patient treatment. EC organoid-based xenograft (PDOX) models combine the advantages of both CDXs and PDTXs since they are more time- and cost-effective, faithfully maintain tumor characteristics and therapeutic responses, and can be genetically modified. Despite substantial progress in EC management, there are still several unmet needs. Efficient targeted treatments are currently indicated only for a small subgroup of patients, while women with recurrent or advanced-stage EC have very few therapeutic options and their prognosis remains unfavorable. Novel (targeted) drugs, combinational regimens and tools to predict the real drug response in patients are urgently needed. Xenograft models are expected to inform about disease mechanisms and to help identify novel therapeutic options and suitable target patients.
In the setting of advanced and recurrent EC, recent reviews and meta-analyses confirmed a response to progestin treatment of 30% in unselected patients. 23,27,28However, these studies also emphasized that the efficacy of HT is higher in selected subgroups of patients with hormone receptor-positive tumors.In these patient groups, HT can be as effective as chemotherapy, which is especially relevant in patients with advanced and recurrent EC who often ACCOMPANYING CONTENT Appendix
Purpose To build a machine learning model to predict histology (type I and type II), stage, and grade preoperatively for endometrial carcinoma to quickly give a diagnosis and assist in improving the accuracy of the diagnosis, which can help patients receive timely, appropriate, and effective treatment. Materials and Methods This study used a retrospective database of preoperative examinations (tumor markers, imaging, diagnostic curettage, etc.) in patients with endometrial carcinoma. Three algorithms (random forest, logistic regression, and deep neural network) were used to build models. The AUC and accuracy were calculated. Furthermore, the performance of machine learning models, doctors’ prediction, and doctors with the assistance of models were compared. Results A total of 329 patients were included in this study with 16 features (age, BMI, stage, grade, histology, etc.). A random forest algorithm had the highest AUC and Accuracy. For histology prediction, AUC and accuracy was 0.69 (95% CI=0.67-0.70) and 0.81 (95%CI=0.79-0.82). For stage they were 0.66 (95% CI=0.64-0.69) and 0.63 (95% CI=0.61-0.65) and for differentiation grade 0.64 (95% CI=0.63-0.65) and 0.43 (95% CI=0.41-0.44). The average accuracy of doctors for histology, stage, and grade was 0.86 (with AI) and 0.79 (without AI), 0.64 and 0.53, 0.5 and 0.45, respectively. The accuracy of doctors’ prediction with AI was higher than that of Random Forest alone and doctors’ prediction without AI. Conclusion A random forest model can predict histology, stage, and grade of endometrial cancer preoperatively and can help doctors in obtaining a better diagnosis and predictive results.
Abstract Background Serous ovarian carcinoma is the most common type of ovarian carcinoma. Tumor-associated macrophages (TAMs) promote ovarian cancer progression. Most macrophages are generated by monocyte differentiation. Lysophosphatidic acid (LPA) levels are high in blood, tissues and ascites of patients with ovarian cancer. This study investigated whether human monocytes can directly differentiate into TAMs in the serous ovarian carcinoma microenvironment. Methods Human monocytes were isolated and purified from umbilical cord blood. A serous ovarian carcinoma-like microenvironment was generated by coculturing monocytes and SKOV3 cells in 0.4-μm-pore-size Transwell chambers. Additionally, the effect of LPA was assessed. The two cultured cell types and supernatants were evaluated. Results The morphology and function of monocytes cocultured with SKOV3 cells and/or stimulated with LPA were significantly changed compared with those of non-stimulated monocytes. The CD14 + CD163 + and CD206 + phenotype indicated that stimulated cells were TAMs. The induced cells promoted SKOV3 cell proliferation and invasion, further proving that they were TAMs. The level of the cytokine interleukin-6R in the supernatant was significantly elevated in the treatment groups compared to the control monocyte group. Pathway enrichment analysis of ELISA results showed a strong influence of interleukin-6 family signaling, especially the JAK-STAT signaling pathway, further confirming the importance of IL-6R. Conclusion Monocytes can differentiate into TAMs under coculture with SKOV3 cells and/or LPA stimulation. The induced TAMs promote SKOV3 cell proliferation and invasion. The cytokine receptor IL-6sR and the JAK-STAT signaling pathway play an important role in the differentiation of monocytes into TAMs.
Endometrial cancer (EC) is the most common gynaecological tumor in developed countries and its incidence is increasing. Approximately 80% of newly diagnosed EC cases are estrogen-dependent. Type 1 17β-hydroxysteroid dehydrogenase (17β-HSD-1) is the enzyme that catalyzes the final step in estrogen biosynthesis by reducing the weak estrogen estrone (E1) to the potent estrogen 17β-estradiol (E2), and previous studies showed that this enzyme is implicated in the intratumoral E2 generation in EC. In the present study we employed a recently developed orthotopic and estrogen-dependent xenograft mouse model of EC to show that pharmacological inhibition of the 17β-HSD-1 enzyme inhibits disease development. Tumors were induced in one uterine horn of athymic nude mice by intrauterine injection of the well-differentiated human endometrial adenocarcinoma Ishikawa cell line, modified to express human 17β-HSD-1 in levels comparable to EC, and the luciferase and green fluorescent protein reporter genes. Controlled estrogen exposure in ovariectomized mice was achieved using subcutaneous MedRod implants that released either the low active estrone (E1) precursor or vehicle. A subgroup of E1 supplemented mice received daily oral gavage of FP4643, a well-characterized 17β-HSD-1 inhibitor. Bioluminescence imaging (BLI) was used to measure tumor growth non-invasively. At sacrifice, mice receiving E1 and treated with the FP4643 inhibitor showed a significant reduction in tumor growth by approximately 65% compared to mice receiving E1. Tumors exhibited metastatic spread to the peritoneum, to the lymphovascular space (LVI), and to the thoracic cavity. Metastatic spread and LVI invasion were both significantly reduced in the inhibitor-treated group. Transcriptional profiling of tumors indicated that FP4643 treatment reduced the oncogenic potential at the mRNA level. In conclusion, we show that 17β-HSD-1 inhibition represents a promising novel endocrine treatment for EC.
STUDY QUESTION: Are the primary cell cultures and cell lines used in endometriosis research of sufficient quality? SUMMARY ANSWER: Primary cells used in endometriosis research lack purity and phenotypic characterisation, and cell lines are not genotypically authenticated. WHAT IS KNOWN ALREADY: The poor reproducibility of in vitro research and the lack of authenticity of the cell lines used represent reasons of concern in the field of reproductive biology and endometriosis research. STUDY DESIGN, SIZE, DURATION: In the present study, past in vitro research in the field of endometriosis was systematically reviewed to determine whether the appropriate quality controls were considered. In addition, we explored the performance of Paired Box 2 (Pax2) as an endometrium specific marker in endometrial and endometriotic primary cell cultures; we also characterised the most diffused endometriosis cell lines with respect to important markers including the short tandem repeat (STR) profile. PARTICIPANTS/MATERIALS, SETTING, METHODS: Literature review part: almost 300 published protocols describing the isolation and creation of primary cell cultures from endometriosis were reviewed. Wet-lab part: primary cells isolated from 13 endometriosis patients were analysed by immunohistochemistry, immunofluorescence and FACS for the expression of Pax2. Cell lines Z11 and Z12, the most diffused endometriosis cell lines, were characterised with respect to the expression of Pax2, steroid hormone receptors and STR profile. MAIN RESULTS AND THE ROLE OF CHANCE: From the literature review work, we underscored the lack of sufficient cell purity and phenotypic characterisation of primary cell cultures, which present high risk of contaminations from surrounding non-endometriotic tissues. Past work based on the use of cell lines was reviewed as well, and it emerged that cell line authentication was never performed. In an effort to address these weaknesses for future research, we present data on the performance of Pax2, a suitable marker to exclude ovarian (and other non-endometrial) cell contaminations from primary cell cultures; STR profiles of cell lines Z11 and Z12 were analysed and indicated that the cells were authentic. These profiles are now available for authentication purposes to researchers wishing to perform experiments with these cells. A quality control pipeline to assure sufficient quality of in vitro research in the field of reproductive biology and endometriosis is proposed. We encourage scientists, research institutes, journal reviewers, editors and funding bodies to raise awareness of the problem and adopt appropriate policies to solve it in the future. LARGE-SCALE DATA: STR profiles of cell lines Z11 and Z12 are deposited at the Cellosaurus database-web.expasy.org. LIMITATIONS, REASONS FOR CAUTION: There may be additional markers suitable to assess cell quality. WIDER IMPLICATIONS OF THE FINDINGS: Future in vitro research in endometriosis and the reliability of outcomes can be improved by using the recommendations presented in this study.
Introduction/Background The enzyme type 1 17β-hydroxysteroid dehydrogenase (HSD17B1), responsible for generating active 17β-estradiol (E2) from low-active estrone (E1), is over-expressed in endometrial cancer (EC) thus implicating an increased intra-tissue generation of E2 in this estrogen-dependent condition. In this study we explored the possibility of inhibiting HSD17B1 and impairing the generation of E2 from E1 in EC using in vitro, in vivo and ex vivo models. Methodology We generated EC cell lines derived from the well-differentiated endometrial adenocarcinoma Ishikawa cell line and expressing levels of HSD17B1 similar to human tissues. In these cells, HPLC analysis showed that HSD17B1 activity could be blocked by a specific HSD17B1 inhibitor. In vitro, E1 administration elicited colony formation similar to E2, and this was impaired by HSD17B1 inhibition. In vivo, tumours grafted on the chicken chorioallantoic membrane (CAM) demonstrated that E1 upregulated the expression of the estrogen responsive cyclin A similar to E2, which was impaired by HSD17B1 inhibition. Neither in vitro nor in vivo effects of E1 were observed using HSD17B1 negative cells (negative control). Results Using a patient cohort of 52 primary ECs, we demonstrated the presence of HSD17B1 enzyme activity (ex vivo in tumour tissues, as measured by HPLC), which was inhibited by over 90% in more than 45% of ECs using the HSDβB1 inhibitor. Since drug treatment is generally indicated for metastatic/recurrent and not primary tumour, we next demonstrated the mRNA expression of the potential drug target, HSD17B1, in metastatic lesions using a second cohort of 37 EC patients. Conclusion In conclusion, HSD17B1 inhibition efficiently blocks the generation of E2 from E1 using various EC models. Further preclinical investigations and HSD17B1 inhibitor development to make candidate compounds suitable for the first human studies are awaited. Disclosure Nothing to disclose.
INTRODUCTION:Cardiothoracic surgery with a median sternotomy is an electing factor for the development of a hypertrophic scar. Hypertrophic scars, characterized by an increased vascularity, often result in aesthetic and functional problems. Smoking, due to its negative effects on vascularization, could therefore have an effect on scar healing. OBJECTIVE:A prospective cohort study was conducted to evaluate the effect of smoking on scar healing after cardiothoracic surgery with a median sternotomy incision. MATERIALS AND METHODS:One hundred patients who underwent cardiac surgery with a median sternotomy were divided into 3 groups: smokers, ex-smokers, and nonsmokers. Erythema values of the scar were measured with a colorimeter on 3 standardized parts of the scar. Scar evaluation was performed at 6 weeks, 3 months, 6 months, and 12 months after surgery. RESULTS:During 1 year, a total of 90 patients were followed after a median sternotomy; 10 patients were lost to follow-up. There were 23 smokers, 52 ex-smokers, and 15 nonsmokers with an overall mean age of 61.5 ± 8.83 years. No significant difference in redness as a parameter for hypertrophic scarring was observed between the 3 groups. Nevertheless, a trend in favor of the smokers was seen, as they developed less hyperemic scars. The caudal part of the scar showed a significantly higher incidence of hypertrophy compared with the middle and cranial part of the scar at all time points. CONCLUSIONS:It is presumed that a large sample size with younger patients is needed to confirm the results herein. Furthermore, more caudally located skin, especially the subxiphoidal part, is prone to hypertrophic scarring and should, for that reason, be avoided in the incision.
Vitamin K2 (menaquinone) concentrations were measured in a wide range of cheeses and the effects of fat content, ripening and origin of the cheeses were investigated. Moreover, the menaquinone content of cheese was compared with that of other foods known to contain vitamin K2. It was found that cheese and curd are the most important sources of long-chain menaquinones in the Western diet and, in general, hard cheeses are richer in menaquinones than soft cheeses. However, the actual menaquinone content varies substantially and is dependent on the type of cheese, the time of ripening, the fat content and the geographic area where the cheeses are produced. Given the fact that poor vitamin K status has been mentioned as a risk factor for cardiovascular disease and mortality, while there is no clear evidence for adverse cardiovascular effects of dairy fats, cheese should be considered as a recommendable component in a heart-healthy diet.
Background. Despite being a hormone dependent cancer, there is limited knowledge regarding the relation between level of steroids in blood and prognosis for endometrial cancer (EC) patients. Methods. In this study we investigated plasma levels of 19 steroids using liquid-chromatography tandem mass-spectrometry in 38 postmenopausal EC patients, 19 with long, and 19 with short survival. We explored if estradiol levels were associated with specific abdominal fat distribution patterns and if transcriptional alterations related to estradiol levels could be observed in tumor samples. Results. The plasma steroid levels for DHEA, DHEAS, progesterone, 21 OH progesterone and EIS were significantly increased (all p < 0.05) in patients with long survival compared to short. Estradiol levels were significantly positively correlated with visceral fat percentage (p = 0.035), and an increased expression of genes involved in estrogen related signaling was observed in tumors from patients with high estradiol levels in plasma. Conclusion. Several of the identified plasma steroids represent promising biomarkers in EC patients. The association between increased estradiol levels and a high percentage of visceral fat indicates that visceral fat is a larger contributor to estradiol production compared to subcutaneous fat in this population. (C) 2018 Elsevier Inc. All rights reserved.
The enzyme type 1 17β‐hydroxysteroid dehydrogenase (17β‐HSD‐1), responsible for generating active 17β‐estradiol (E2) from low‐active estrone (E1), is overexpressed in endometrial cancer (EC), thus implicating an increased intra‐tissue generation of E2 in this estrogen‐dependent condition. In this study, we explored the possibility of inhibiting 17β‐HSD‐1 and impairing the generation of E2 from E1 in EC using in vitro , in vivo , and ex vivo models. We generated EC cell lines derived from the well‐differentiated endometrial adenocarcinoma Ishikawa cell line and expressing levels of 17β‐HSD‐1 similar to human tissues. In these cells, HPLC analysis showed that 17β‐HSD‐1 activity could be blocked by a specific 17β‐HSD‐1 inhibitor. In vitro , E1 administration elicited colony formation similar to E2, and this was impaired by 17β‐HSD‐1 inhibition. In vivo , tumors grafted on the chicken chorioallantoic membrane (CAM) demonstrated that E1 upregulated the expression of the estrogen responsive cyclin A similar to E2, which was impaired by 17β‐HSD‐1 inhibition. Neither in vitro nor in vivo effects of E1 were observed using 17β‐HSD‐1‐negative cells (negative control). Using a patient cohort of 52 primary ECs, we demonstrated the presence of 17β‐HSD‐1 enzyme activity ( ex vivo in tumor tissues, as measured by HPLC), which was inhibited by over 90% in more than 45% of ECs using the 17β‐HSD‐1 inhibitor. Since drug treatment is generally indicated for metastatic/recurrent and not primary tumor, we next demonstrated the mRNA expression of the potential drug target, 17β‐HSD‐1, in metastatic lesions using a second cohort of 37 EC patients. In conclusion, 17β‐HSD‐1 inhibition efficiently blocks the generation of E2 from E1 using various EC models. Further preclinical investigations and 17β‐HSD‐1 inhibitor development to make candidate compounds suitable for the first human studies are awaited. Copyright © 2017 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Endometrial cancer (EC) is the most common gynaecological malignancy in Western society and the majority of cases are estrogen dependent. While endocrine drugs proved to be of insufficient therapeutic value in the past, recent clinical research shows promising results by using combinational regimens and pre-clinical studies and identified potential novel endocrine targets. Relevant pre-clinical models can accelerate research in this area. In the present study we describe an orthotopic and estrogen dependent xenograft mouse model of EC. Tumours were induced in one uterine horn of female athymic nude mice using the well-differentiated human endometrial adenocarcinoma Ishikawa cell line-modified to express the luciferase gene for bioluminescence imaging (BLI). BLI and contrast-enhanced computed-tomograph (CE-CT) were used to measure non-invasive tumour growth. Controlled estrogen exposure was achieved by the use of MedRod implants releasing 1.5 μg/d of 17β-estradiol (E2) in ovariectomized mice. Stable E2 serum concentration was demonstrated by LC-MS/MS. Induced tumours were E2 responsive as increased tumour growth was observed in the presence of E2 but not placebo, assessed by BLI, CE-CT, and tumour weight at sacrifice. Metastatic spread was assessed macroscopically by BLI and histology and was seen in the peritoneal cavity, in the lymphovascular space, and in the thoracic cavity. In conclusion, we developed an orthotopic xenograft mouse model of EC that exhibits the most relevant features of human disease, regarding metastatic spread and estrogen dependency. This model offers an easy to manipulate estrogen dosage (by simply adjusting the MedRod implant length), image-guided monitoring of tumour growth, and objectively measurable endpoints (including tumour weight). This is an excellent in vivo tool to further explore endocrine drug regimens and novel endocrine drug targets for EC.
Our understanding of the intracrine (or local) regulation of estrogen and other steroid synthesis and degradation expanded in the last decades, also thanks to recent technological advances in chromatography mass-spectrometry. Estrogen responsive tissues and organs are not passive receivers of the pool of steroids present in the blood but they can actively modify the intra-tissue steroid concentrations. This allows fine-tuning the exposure of responsive tissues and organs to estrogens and other steroids in order to best respond to the physiological needs of each specific organ. Deviations in such intracrine control can lead to unbalanced steroid hormone exposure and disturbances. Through a systematic bibliographic search on the expression of the intracrine enzymes in various tissues, this review gives an up-to-date view of the intracrine estrogen metabolisms, and to a lesser extent that of progestogens and androgens, in the lower female genital tract, including the physiological control of endometrial functions, receptivity, menopausal status and related pathological conditions. An overview of the intracrine regulation in extra gynecological tissues such as the lungs, gastrointestinal tract, brain, colon and bone is given. Current therapeutic approaches aimed at interfering with these metabolisms and future perspectives are discussed.
OBJECTIVE:Contradictory results are reported about the level of steroid sulfatase (STS), estrogen sulfotransferase (SULT1E1; together, the sulfatase pathway) and aromatase (CYP19A1) in endometrial cancer (EC). The aim of this study was to explore the levels of these enzymes in a well-characterized cohort of EC patients and postmenopausal controls.MATERIALS AND METHODS:Endometrial tissues from 31 EC patients (21 grade 1 and 10 grade 2-3) and 19 postmenopausal controls were collected. Levels of mRNA (RT-qPCR) and protein (immunohistochemistry) were determined. STS enzyme activity was measured by HPLC, whereas SULT1E1 enzyme activity was determined using a novel method based on liquid chromatography-mass spectrometry (LC-MS/MS).RESULTS:No significant differences in STS, SULT1E1 mRNA or protein levels and STS:SULT1E1 ratio were found. STS enzyme activity and STS:SULT1E1 activity ratio were significantly decreased in ECs compared with controls. CYP19A1 mRNA levels were lower in ECs than in controls.CONCLUSION:A novel highly sensitive and accurate protocol to assess SULT1E1 activity is presented. STS enzyme activity and the STS:SULT1E1 activity ratio seem to be lower in ECs than in controls. STS is an important route for estrogen supply in endometrial cells.
Most endometrial cancers (ECs) are diagnosed at an early stage and have a good prognosis. However, 20-30% develop recurrence and have poor survival. Recurrence-risk prediction at diagnosis is hampered by the scarcity of prognostic markers.Most ECs are estrogen related, and recent studies show that estrogen exposure in EC is controlled intracrinally. We aim at assessing any association between patient prognosis and the pathways controlling the intracrine estrogen generation in EC:(a) the balance between 17 beta-hydroxysteroid-dehydrogenase-type 1 (HSD17B1), that generates active estrogens, and HSD17B2, converting active into poorly active compounds;(b) the balance between steroid sulphatase (STS, that activates estrogens) and estrogen-sulphotransferase (SULTIEI, that deactivates estrogens);(c) the levels of aromatase (ARO), that converts androgen into estrogens.mRNA levels of HSD17B1, HSD17B2, STS, SULTIEI and ARO were determined among 175 ECs using cDNA microarray. Proteins were explored by immunohistochemistry.Patients with high mRNA of HSD17B1 had a poorer prognosis compared with those with low levels. Combining the expression of HSD17B1 and HSD17B2, patients with high tumour expression of HSD17B1 and low levels of HSD17B2 had the poorest prognosis. Contrarily, women that had high tumour levels of HSD17B2 and low of HSD17B1 had the best outcome. No differences were seen between mRNA level of other the genes analysed and prognosis. At the protein level, HSD17B2, STS and SULTIEI were highly expressed, whereas HSD17B1 was low and ARO was almost absent.In conclusion, HSD17B1 is a promising marker to predict EC prognosis. Immunohistochemical detection of this protein in ECs has low sensitivity and should be improved for future clinical applications. (C) 2016 Elsevier Ireland Ltd. All rights reserved.