The WID-EC test for the detection and risk prediction of endometrial cancer
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ABSTRACT:
PROVIDER: EGAS00001005033 | EGA |
REPOSITORIES: EGA
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Project description:<p>Endometrial diseases are common gynecological diseases that disorder women of childbearing age and perimenopausal women, including endometrial polyps (EP), endometrial cancer (EC), and endometrial hyperplasia (EH). Clinically, biopsy or imaging methods are usually used to screen and diagnose endometrial diseases, but due to their invasiveness and heterogeneity, a noninvasive, convenient, objective and accurate biomarker is needed for the differential diagnosis of EP and EC or EH. In the present study, serum samples from 396 patients with endometrial disease and 225 healthy volunteers were analyzed by UPLC-Q-TOF/MS non-targeted lipidomics. A combination of multivariate (Orthogonal partial least-squares discriminant analysis) and univariate (Student t-test) analyses were used to identify and qualify 6, 8, and 7 potential biomarkers in serum from patients with EP, EC, and EH, respectively. With the aid of logistic regression algorithm and receiver operating characteristic (ROC) curve analysis, A biomarker panel including four specific EP biomarkers, 6-Keto-PGF1α, PA(37:4), LysoPC(20:1) and PS (36:0), had good classification and diagnostic ability in distinguishing EP from EC or EH. The biomarker panel can be used as a rapid diagnostic method to assist imaging examination to effectively differentially diagnose endometrial diseases, and provide a reference for clinicians in the identification and diagnosis of endometrial diseases. </p>
2022-01-14 | MTBLS3444 | MetaboLights
Project description:The gut-uterus axis plays a pivotal role in the pathogenesis of endometrial cancer (EC). However, the correlations between the endometrial microbiome and endometrial tumor transcriptome in patients with EC and the impact of the endometrial microbiota on hematological indicators have not been thoroughly clarified. In this prospective study, endometrial tissue samples collected from EC patients (n = 30) and healthy volunteers (n = 10) were subjected to 16S rRNA sequencing of the microbiome. The 30 paired tumor and adjacent nontumor endometrial tissues from the EC group were subjected to RNAseq. Result: We found that Pelomonas and Prevotella were enriched in the EC group with a high tumor burden. Further transcriptome analysis identified 8 robust associations between Prevotella and fibrin degradation-related genes expressed within ECs. Conclusions: Our results suggest that the increasing abundance of Prevotella in endometrial tissue combined with high serum DD and FDP contents may be important factors associated with tumor burden.
2021-10-13 | GSE183185 | GEO
Project description:The WID-OC-index identifies women with ovarian cancer based on a DNA methylation signature derived from cervical smear samples (a total of 289 ovarian cancer samples were included)
| EGAS00001005045 | EGA
Project description:A specific form of endometrial cancer (EC) can develop in breast cancer patients previously treated with tamoxifen (ET), an antagonist of estrogen receptor (ER) α that inhibits proliferation of ER positive breast cancer. ET tumors have a different phenotype than endometrial tumors which typically develop de novo without previous exposure to tamoxifen (EN). Here we aimed to identify specific protein markers that could serve as specific molecular targets in either phenotype. A set of total 45 formalin-fixed paraffin-embedded (FFPE) endometrial tumor tissue and adjacent myometrial tissue samples were analyzed using LC-MS/MS in SWATH-MS mode. We found that calcyphosin (CAPS) levels were elevated in EN tumors compared to ET tumors. The higher CAPS level in EC tissue invading to myometrium support its relationship to EC aggressiveness. Further, stathmin (STMN1) levels were found significantly elevated in ET vs. EN tumors and significantly associated with patient survival. This finding connects elevated levels of this cell cycle regulating, proliferation-associated protein with tamoxifen exposure. In a summary, using SWATH-MS we show that CAPS and STMN1 should be recognized as clinicopathologically different EC markers of which STMN1 is specifically connected with a previous tamoxifen exposition.
2020-05-05 | PXD017217 | Pride
Project description:Endometrial cancer (EC) is one of the most common gynecological cancers. Finding biomarkers of EC can support its diagnosis in a non- or minimally-invasive way. In this work, we integrated metabolomics and proteomics for the analysis of multiple types of biosamples to gain a more comprehensive view on the altered metabolism in EC patients, and to demonstrate the potential of metabolite biomarker-based EC diagnosis. Based on the differential metabolites and proteins between EC patients and controls detected in the endometrial tissue samples, EC related significant pathways, such as amino acid metabolism and nucleotide metabolism, were identified. Then, the significance of the pathways was further demonstrated by metabolomic analysis of urine and intrauterine brushings samples. We also demonstrated the potential of EC diagnosis by metabolite biomarkers in urine or intrauterine brushings samples. This study provides a network explanation of the metabolic changes of EC with the verification by multi-omics and multi-biosamples, and further demonstrates the potential of non- or minimally-invasive biopsy for EC diagnosis in the future.
2022-03-28 | MTBLS3935 | MetaboLights
Project description:A growing number of studies on gynecological cancers (GCs) have revealed potential gene markers associated either with the pathogenesis and progression of the disease on representing putative targets for therapy and treatment of cervical (CC), endometrial (EC) and vulvar cancer (VC). However, quite a little overlap is found between these data. In this study we combined data from the three GCs integrating gene expression profile analysis. The meta-analysis including our results and data emerge from other available studies on gynecological malignancies and other cancer types, revealed common properties among them including deregulation of cell cycle, immune response, antiviral response and apoptosis.
2015-07-26 | GSE63678 | GEO
Project description:Normal endometrial stromal cells (ESCs) increase the inhibitory effect of progestin on EC cell proliferation via paracrine signaling, but the mechanisms involved remain unclear.ESCs had different morphological features between progestin-sensitive and -insensitive EC tissues. The purpose of this study was to detect differential gene expression in endometrial stromal cells after MPA treatment and to screen for potential secretory factors.
2022-11-02 | GSE196890 | GEO
Project description:Endometrial cancer is the most common gynecological cancer worldwide. In women from developed countries, endometrial cancer is usually detected after the age of 60 years. Nearly 90% of the diagnosed cases are sporadic, while 10% are attributed to genetic factors. Thus, it is necessary to develop a diagnostic platform. Currently, the lymph node status is a major prognostic factor in assessing endometrial cancer. However, despite its high sensitivity, it is still in debate. In order to increase its selectivity and specificity, in-depth proteomic study has been performed on patients sentinel lymph node (SNL) samples and on grade I to grade III endometrial carcinoma (EC) samples. We identified specific markers of bad diagnosis that clearly correlate SNL to EC i.e. PRSS3, PTX3, ASS1, YBX2, RBM25, MUC5B. These markers have also been detected in TCGA. By contrast, we also detected good prognosis markers for the overall survival such as CD74, GOLM1, SLC9A3R2, SP100 proteins. Markers for EC and SNL cancer-grading have also been identified. Taken together, it is now possible to propose a novel approach for molecular diagnosis, prognosis and patient’s stratification in EC which will be of excellent utility in therapeutic decision.
2021-09-09 | PXD020410 | Pride
Project description:A growing number of studies on gynecological cancers (GCs) have revealed potential gene markers associated either with the pathogenesis and progression of the disease on representing putative targets for therapy and treatment of cervical (CC), endometrial (EC) and vulvar cancer (VC). However, quite a little overlap is found between these data. In this study we combined data from the three GCs integrating gene expression profile analysis. The meta-analysis including our results and data emerge from other available studies on gynecological malignancies and other cancer types, revealed common properties among them including deregulation of cell cycle, immune response, antiviral response and apoptosis. Total RNA was extracted from physiological and cancer patients from cervix, endometrium and vulvar tissue and was hybridized on Affymetrix HG133_A_2.0 microarray chips corresponding to more than 12.000 uniquely represented genes. A total of 35 samples were used to identify potential biomarkers and signatures in each type of cancer.
2015-07-26 | E-GEOD-63678 | biostudies-arrayexpress
Project description:Endometrial cancer (EC) is the most common female reproductive tract cancer and its incidence is continuously rising recently. The underlying mechanisms of EC tumorigenesis remain unclear and efficient target therapies are lack, both of which require feasible endometrial cancer animal models for translational studies. Here, we report an organoid and genome editing-based strategy to generate primary, orthotopic, and drivers-defined ECs in mice. Bulk RNA sequencing was performed with organoids of various genetics-mediated EC models.
2023-05-16 | GSE203121 | GEO