Ontology highlight
ABSTRACT:
PROVIDER: PRJNA472161 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7187130.fastq.gz | Fastqsanger.gz | |||
| SRR7187130_1.fastq.gz | Fastqsanger.gz | |||
| SRR7187130_2.fastq.gz | Fastqsanger.gz | |||
| SRR7187140.fastq.gz | Fastqsanger.gz | |||
| SRR7187140_1.fastq.gz | Fastqsanger.gz |
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Project description:Endometrial cancer is the most common gynaecological cancer in western countries, being the endometrioid tumours the most common subtype. Most patients are diagnosed at an early stage and present an excellent prognosis. However, a consistent number of those continue to suffer recurrence, without means to be identified by risk classification systems. Thus, finding a reliable marker to predict recurrence becomes an important unmet clinical issue. ALCAM is a cell–cell adhesion molecule, member of the Immunoglobulin superfamily, which has been associated to the carcinogenesis of many cancers. In here, we first determined the value of ALCAM as marker of recurrence in endometrioid endometrial cancer by conducting a retrospective multicenter study in 174 primary tumours. In early stage patients (N=134), recurrence-free survival was poorer in patients with ALCAM-positive compared to ALCAM-negative tumours (HR 4.237; 95%CI 1.01-17.76). This difference was more significant in patients with early stage moderately-poorly differentiated tumours (HR 9,259; 95%CI 2.12-53.47). In multivariate analysis, ALCAM-positivity was an independent prognostic factor in early stage disease (HR 6.027, 95% CI 1.41-25.74). Then, we demonstrated in vitro a role for ALCAM in cell migration and invasion by using a loss-of-function model in two endometrial cancer cell lines. Moreover, ALCAM depletion resulted in a reduced primary tumour size and reduced metastatic local spread in an orthotopic murine model. Gene expression analysis of ALCAM-depleted cell lines supported that motility, invasiveness, cellular assembly and organization were the most deregulated functions associated to ALCAM. Finally, we evidenced some of the downstream effector genes that are involved in ALCAM mediated cell migration; specifically FLNB, TXNRD1 and LAMC2 were validated. In conclusion, our results highlight the potential of ALCAM as a recurrent biomarker in early stage endometrioid endometrial cancer and point to ALCAM as an important molecule in endometrial cancer dissemination by regulating cell migration, invasion and metastasis.
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Project description:Integration of genomic and clinical data to predict endometrioid endometrial cancer recurrence
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Project description:Endometrial cancer (EC) incidence and mortality continues to rise. Molecular profiling of EC promises improvement of risk assessment and treatment selection. Though, we still lack robust and accurate models to predict those at risk of failing treatment. The objective of this pilot study is to create models with clinical and genomic data that will discriminate patients with EC at risk of disease recurrence. We performed a pilot, retrospective, case-control study evaluating patients with EC, endometrioid type: 7 with recurrence of disease (cases), and 54 without (controls). RNA was extracted from frozen specimens and sequenced (RNAseq). Genomic features from RNAseq included transcriptome expression, genomic, and structural variation. Feature selection for variable reduction was performed with univariate ANOVA with cross-validation. Selected variables, informative for EC recurrence, were introduced in multivariate lasso regression models. Validation of models was performed in machine learning platforms (ML) and independent datasets (TCGA). The best performing prediction models (out of >170) contained the same lncRNA features (AUC of 0.9, and 95% CI: 0.75, 1.0). Models were validated with excellent performance in ML platforms and good performance in an independent dataset. Prediction models of EC recurrence containing lncRNA features have better performance than models with clinical data alone
2022-11-02 | GSE216872 | GEO
Project description:Classically, there are two types of endometrial cancer, endometrioid adenocarcinoma (EAC), or Type I; and uterine papillary serous carcinoma (UPSC), or Type II. These two types of cancers exhibit distinct DNA methylation levels in promoters of many genes. In EAC, many tumor suppressor genes were silenced due to DNA hypermethylation at their promoter region. However, promoters of many of these genes remained unmethylated in UPSC. Here, we described complete DNA methylome maps of endometrioid adenocarcinoma, uterine papillary serous carcinoma, and normal endometrium, by applying a combined strategy of methylated DNA immunoprecipitation sequencing (MeDIP-seq) and methylation-sensitive restriction enzyme sequencing (MRE-seq). We took a complementary and orthogonal approach to identify DNA methylation changes unique to the two endometrial cancer subtypes in an unbiased fashion. We generated complete DNA methylome maps for endometrioid adenocarcinoma (EAC, three samples), uterine papillary serous carcinomas (UPSC, three samples), and normal endometrium (pooled samples) by integrating data from methylated DNA immunoprecipitation sequencing (MeDIP-seq) and methylation-sensitive restriction enzyme sequencing (MRE-seq).
2014-10-12 | E-GEOD-51565 | biostudies-arrayexpress
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2018-11-01 | GSE25405 | GEO
Project description:Full title: comparison of the genomic (arrayCGH) profiles of endometrial cancer with and without prior prolonged tamoxifen treatment for primary breast cancer Purpose: Tamoxifen has been a very effective treatment for breast cancer for several decades, however, at the same time increases the risk of endometrial cancer, especially after prolonged exposure. In addition, tamoxifen has been associated with a higher proportion of unfavorable uterine tumor subtypes (carcinosarcomas and serous adenocarcinomas) with worse survival. We investigated whether endometrial tumors, which developed after prolonged tamoxifen treatment for breast cancer, are genetically different from endometrial tumors without preceding tamoxifen exposure. Experimental design: Array CGH was used on archival formalin-fixed paraffin embedded (FFPE) endometrial tumors to determine genomic aberrations. We compared the genomic profiles of 52 endometrial tumors from breast cancer patients after long-term (>=2 years) tamoxifen use (endometrioid adenocarcinomas n=26, carcinosarcomas n=14 and serous adenocarcinomas n=12) with endometrial tumors from unexposed breast cancer patients (n=45). Genomic profiles were correlated with tamoxifen exposure, tumor subtypes and histopathological characteristics of the endometrial tumors. Results: The common uterine corpus cancers of the endometrioid subtype show few genomic aberrations. Tumors with many genomic aberrations were in general ER-negative. In contrast, carcinosarcomas and serous adenocarcinomas showed many aberrations, however they were indistinguishable from each other. Tumors that developed after prolonged tamoxifen use did not show more or different aberrations than unexposed tumors. This was true for all tumor subtypes. Conclusion: Endometrial carcinomas that develop after prolonged tamoxifen use can not be distinguished from non-users on basis of their tumor genomic profile. 52 endometrial tumors from breast cancer patients after long-term (>=2 years) tamoxifen use (endometrioid adenocarcinomas n=26, carcinosarcomas n=14 and serous adenocarcinomas n=12) and 45 endometrial tumors from unexposed breast cancer patients
2010-06-17 | E-GEOD-16680 | biostudies-arrayexpress
Project description:The molecular events that mediate the epithelial to mesenchymal transition (EMT) in endometrial cancer remain poorly understood. Using cDNA microarrays, we analyzed a group of endometrial carcinosarcomas (ECS), a true example of EMT in vivo, and we compared their gene expression profiles with those obtained from a group of endometrioid endometrial carcinomas (EEC). The HMGA2 gene (High Mobility Group AT-hook 2), an embryonic nuclear factor that mediates EMT in various tumour models, was among the genes overexpressed in ECS, and HMGA2 overexpression was confirmed in 54% of ECSs by qRT-PCR and immunohistochemistry. Moreover, we found a significant inverse correlation between the expression of HMGA2 and let-7b, a member of the let-7 family of miRNAs that represses HMGA2 expression. These changes were also associated with overexpression of Lin28B, a suppressor of microRNA biogenesis implicated in cancer progression and metastasis. Finally, HMGA2 overexpression, which was detected in less than 3% of EECs, was observed in many non-endometrioid carcinomas (46%). For the first time, we describe a role for HMGA2 in both the process of EMT that contributes to endometrial carcinogenesis and in the acquisition of aggressive phenotypes by this neoplasia. Moreover, we demonstrate changes in the expression of genes modulating processes such as EMT, muscle differentiation, the expression of cancer testis antigens (CTAs) and the immune response. Identification of new molecular markers in endometrial carcinogenesis 15 endometrial carcinosarcomas and 23 endometrioid endometrial carcinoma
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Project description:We performed genome-wide DNA methylation profiling of endometrial endometrioid adenocarcinoma tissues derived from patients in the Cancer Institute Hospital of Japanese Foundation for Cancer Research.
2019-09-13 | GSE136791 | GEO
Project description:To establish predictive models based on molecular profiles of endometrial lesions that might help to identify progestin insensitive endometrial atypical hyperplasia (EAH) or endometrioid endometrial cancer (EEC) patients before progestin-based fertility preserving treatment. Endometrial lesions from progestin sensitive or progestin insensitive patients were prospectively collected before progestin treatment and analyzed by ATAC-Seq and RNA-Seq. Potential chromatin accessibility and expression profile were compared between PS and PIS groups. Candidate genes were identified by bioinformatic analysis and literature review. Expanded samples (n = 35) were used for verification and model construction.
2022-08-10 | GSE201926 | GEO