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>
Project description:Using H3K27ac ChIP-seq profile to map active enhancers in lung cancer and endometrial carcinoma cells ChIP-seq of H3K27ac was done in lung adenocarcinoma cell lines (NCI-H358 and NCI-H2009), squamous cell lung carcinoma cell lines (HCC95) and endometrial carcinoma cell lines (Ishikawa)
Project description:sera collected from endometrial cancer patients submitted to direct MS/MS analysis in diluted unprocessed form. MS only analysis of sera has also been performed. files are also available.
Project description:We used expression profiling of colorectal cancer and endometrial cancer cell lines treated with demethylating agents to search for epigenetically regulated miRNAs. The study included three MMR-deficient colorectal cancer cell lines (HCT116, HCT15, and RKO), two MMR-proficient colorectal cancer cell lines (SW480, and T84) and two MMR-deficient endometrial cancer cell lines (AN3CA and HEC59).
Project description:Transcriptional profiling of rat EAC - comparison of non-/pre-malignant endometrium with endometrial tumors Endometrial cancer develops from the endometrium of the uterus and is the most common pelvic malignancy diagnosed in women in the western countries. Similar to all cancer diseases, endometrial cancer is a genetic disorder that results from complex patterns of genetic and epigenetic alterations involved in the malignant transformation. The genetic heterogeneity inherent in the human population, differences in the environment and life styles poses enormous difficulties when analyzing the complex patterns of genetic alterations contributing to cancer etiology. Inbred animal models constitute unique experimental genetic tools as the genetic heterogeneity and the influence of environmental factors can be readily reduced. The BDII/Han rat model is unique for spontaneous hormonal carcinogenesis since more than 90% of the female virgins spontaneously develop endometrial cancer during their life span. The possibility to perform global gene expression profiling of tumor cells would likely provide important information of the genes and pathways that are involved in EAC susceptibility and carcinogenesis. Keywords: Endometrial tumors developed in crosses with the BDII inbred rat strain (from backcrosses, NUT, and intercrosses, RUT) and Sprague Dawley curley-3 and Brown Norway Common reference design - Universal rat reference (Stratagene) hybridized to all arrays. Biological replicates and technical replicates (3) of each clone printed at random positions on the array.