Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of micro-RNA expression profile related to recurrence in women with ESMO low-risk endometrial cancer

ABSTRACT: The aim of this study was to evaluate whether micro-RNA signature in tumor tissues from low-risk Endometrial Cancer women can be correlated with the occurrence of recurrences MicroRNA expression was assessed by chip analysis in 7 formalin-fixed paraffin-embedded (FFPE) LREC primary tumors from women whose follow up showed recurrences (R+) and in 14 FFPE LREC primary tumors from women whose follow up did not show any recurrence (R-), matched for grade and age.

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE100078 | GEO | 2017/12/31

SECONDARY ACCESSION(S): PRJNA390638

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

DNA Methylation in Breast Cancers: Differences based on Estrogen Receptor Status and Recurrence

Project description:DNA methylation plays a role in the etiology of primary breast cancers. We analyzed paired primary and second breast tumors to elucidate the role of methylation in recurrence. Methylation profiles from paired primary and second breast tumors of 23 women were assessed using the HumanMethylation450 BeadChip. Twelve women had ERpos primary and second tumors, five had estrogen receptor negative (ERneg) primary and second tumors, and six had an ERpos primary tumor but an ERneg second tumor. Stratifying tumors by occurrence revealed that the greater methylation previously associated with ERpos tumors, is more pronounced in primary tumors than in second tumors. Further, ERneg second tumors are more methylated than ERpos second tumors among women who had ERpos primary tumors. Pathway analyses using gene lists generated from comparisons of methylation in ERpos primary tumors from the paired sets with ERpos tumors from 6 women without recurrences, identified differences between groups based on the ER status of the second tumor. Hypermethylated genes of significantly enriched pathways were differentially associated with survival. DNA methylation profiles of ERpos primary breast tumors support the development and use of tumor methylation profiles for stratifying women with breast cancer both for prognosis and therapy.

2018-09-24 | GSE117439 | GEO

Vaginal microbiome of PCOS women for 6 month follow-up

Project description:Vaginal microbiome of PCOS women for 6 month follow-up Genome sequencing and assembly

| PRJNA895690 | ENA

Differentially expressed genes in recurrence of squamous cell carcinoma tumors of the oral cavity in a mouse model

Project description:We applied global gene expression with samples derived from a recently established mouse model for oral cancer recurrences and identified a list of genes with differential expression between primary and recurrent tumors. 5 independent primary tumors and respectivce recurrences were analyzed. Two replicates of the original cell line used for the generation of all tumors was also added to the study.

2012-01-28 | E-GEOD-35377 | biostudies-arrayexpress

Gene expression profiling of primary breast carcinomas from patients at high risk for local recurrence

Project description:Purpose: Several risk factors for local recurrence of breast cancer after breast conserving therapy (BCT) have been identified. The identification of additional risk factors would be very useful in guiding optimal therapy and also improve understanding of the mechanisms underlying local recurrence. We used cDNA microarray analysis to identify gene expression profiles associated with local recurrence. Experimental Design: Using 18K cDNA microarrays, gene expression profiles were obtained from 50 patients who underwent BCT. Of these 50 patients 19 developed a local recurrence; the remaining 31 patients were selected as controls as they were free of local recurrence at least 11 years after treatment. For 9/19 patients also the local recurrence was available for gene expression profiling. Unsupervised and supervised methods of classification were used to separate patients in groups corresponding to disease outcome and to study the overall gene expression pattern of primary tumors and their recurrences. Results: Hierarchical clustering of patients did not show any grouping reflecting local recurrence status. Supervised analysis revealed no significant set of genes that was able to distinguish recurring tumors from non-recurring tumors. Paired-data analysis of primary tumors and local recurrences showed a remarkable similarity in gene expression profile between primary tumors and their recurrences. Conclusions: No significant differences in gene expression between primary breast cancer tumors in patients with or without local recurrence after breast conserving therapy were identified. Furthermore, analyses of primary tumors and local recurrences show a preservation of the overall gene expression pattern in the local recurrence, even after radiotherapy. Keywords: gene expression profiling

2006-09-24 | GSE4913 | GEO

miRs expression profile to predict HNSCC patients at high risk to develop recurrence

Project description:A miRs expression profiling of a total of 746 miRs (664 human + 82 viral) in 72 Head and Neck Squamous Cell Carcinoma (HNSCC) primary tumors to classify patients at high risk to develop recurrences

2017-10-02 | GSE89000 | GEO

A 5-gene signature predicts outcome in women with hormone receptor-negative early breast cancer treated with chemoterapy.

Project description:Hormone-receptor negative (HR-) breast cancer accounts for approximately one third of all breast tumors and has a worse prognosis compared with hormone receptor-positive disease. Their unfavorable outcome and the lack of hormonal receptors determine the use of adjuvant chemotherapy as part of the standard treatment for these tumors. However, a significant proportion of patients relapse after receiving adjuvant chemotherapy. Classical prognostic factors such as tumor size, lymph node status and grade of differentiation do not suffice to identify patients with a higher risk of relapse. In the last decade, gene profiling has allowed the description of signatures with prognostic value in hormone receptor-positive tumors, but similar information is scarce in HR- disease. Reliable identification of poor-prognosis patients would be important to offer participation in clinical trials with new drugs and to modify follow-up schedules. In this study, we assessed gene expression with quantitative polymerase-chain reaction (RT-qPCR) in HR- early stage breast cancer. RNA was isolated from formalin-fixed paraffin-embedded (FFPE) tissue. Our purpose was to identify a gene signature related to outcome.

2016-02-01 | GSE33669 | GEO

Identification and relative quantification of hFSH glycoforms in women sera by PRM MS based approach.

Project description:This study presents an alternative preliminary strategy to identify and quantify serum hFSH glycoforms based on immunopurification assay and mass spectrometry (MS) using parallel reaction monitoring (PRM) analysis. In this study, we provide MS-PRM data acquisition method for hFSH glycopeptides identification with high specificity and their quantification by extracting the chromatographic traces of selected fragments of glycopeptides. Once set up in all its features, the proposed method could be transferred to the clinic to improve the fertility treatments and follow-ups in men and women.

2021-06-15 | PXD025585 | Pride

Differentially expressed genes in recurrence of squamous cell carcinoma tumors of the oral cavity in a mouse model

2012-01-28 | GSE35377 | GEO

Porcine epidemic diarrhea in Europe

Project description:COMPARE H5N8 Follow-up

| PRJEB19037 | ENA

Homo sapiens

Project description:Sarcoidosis + Follow-up study

| PRJNA90973 | ENA