GEO DataSets

(Submitter supplied) Background: The aim of this study was to identify differentially expressed miRNAs in high-grade serous ovarian carcinoma (HGSC), clear cell ovarian carcinoma (CCC) and ovarian surface epithelium (OSE). Selected miRNAs were evaluated for association with clinical parameters including survival, and miRNA/mRNA interactions were mapped. Results: Differentially expressed miRNAs between HGSC, CCC and OSE were identified, of which 18 were validated (p<0.01) using RT-qPCR in an extended cohort. more...

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL14613

30 Samples

Download data: CEL

(Submitter supplied) To determine microRNA expression in chemoresistant ovarian cancer, we have employed whole microRNA microarray expression profiling as a discovery platform to identify genes with the potential to distinguish recurrent ovarian cancer. 8 recurrent ovarian cancer tissue and 8 primary ovarian cancer tissue and 4 normal ovarian tissue was used to identify miRNA profiling.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL22079

20 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6947

39 Samples

Download data: TXT

(Submitter supplied) A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human serous epithelial OvCa cell lines, serous tumors, and short-term primary cultures of normal ovarian surface epithelium (NOSE). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6947

33 Samples

Download data: TXT

(Submitter supplied) A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human serous epithelial OvCa cell lines, serous tumors, and short-term primary cultures of normal ovarian surface epithelium (NOSE). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6947

6 Samples

Download data: TXT

(Submitter supplied) summary Ovarian cancer is the leading cause of death among gynecologic malignancies. This is partly due to a non-durable response to chemotherapy. Prediction of resistance to chemotherapy could be a key role in more personalized treatment. In the current study we aimed to examine if microRNA based predictors could predict resistance to chemotherapy in ovarian cancer, and to investigate if the predictors could be prognostic factors for progression free and overall survival. more...

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL8786

198 Samples

Download data: CEL

(Submitter supplied) Developing a classification model based on differential expression miRNAs profile in serum HGSOC samples to improive diagnosis of HGCOS.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL33518

70 Samples

Download data: RCC

(Submitter supplied) About 30% of renal cell carcinoma (RCC) patients undergoing nephrectomy experience disease recurrence. This study aimed to profile microRNAs (miRNAs) that are dysregulated in clear cell RCC (ccRCC) tumor tissues and predictive of recurrence. The expression levels of 800 miRNAs were assessed in paired tumor and normal tissues from a discovery cohort of 18 ccRCC patients via the NanoString assay platform. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL25243

36 Samples

Download data: XLSX

(Submitter supplied) Prognostication of Breast Cancer (BC) relies largely on traditional markers such as hormone or growth factors but due to their suboptimal specificities, it is challenging to identify the subset of patients who are likely to undergo recurrence and markers of higher specificity are sought to guide therapies. MicroRNAs (miRNAs) are small non-coding RNAs which function as post-transcriptional regulators of gene expression and have shown promise as potential prognostic markers in several cancer types including BC. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL10999

114 Samples

Download data: TXT

(Submitter supplied) We implementing a transcriptomic approach to identify global miRNA alterations in chronic iron exposed FTSECs. Chronic iron exposure in fallopian tube secretory epithelial cells (FTSECs) leads to alterations in oncogene expression and functional changes reminescent of early changes in ovarian cancer development (serous epithelial high grade ovarian tumors).

Organism:

synthetic construct; Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL21572

12 Samples

Download data: CEL, CHP

(Submitter supplied) Triple negative breast cancers (TNBC) are a morphologically and genetically heterogeneous group of breast cancers with uncertain prediction of biological behavior and response to therapy. The aim of our study was to analyze miRNAs expression within areas of TNBCs with different cellular morphology. We performed laser capture microdissection with PALM MicroBeam system from Zeiss and subsequent expression profiling with Affymetrix GeneChip miRNA 4.0 Arrays to identify distinct classes of miRNAs deregulated in respective tissue morphologies. more...

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL19117

74 Samples

Download data: CEL, RDATA, TXT

(Submitter supplied) To examine the role of CPNE8 and BHLHE41 in ovarian cancer cells, RMG1 cells were treated with siRNA targeting CPNE8 (siCPNE8 #A and #B) or control siRNA (siControl), and OVCAR3 cells were treated with siRNA targeting BHLHE41 (siBHLHE41 #A and #B) or control siRNA (siControl). Microarray analysis showed that CPNE8 and BHLHE41 are involved in cellular signaling pathways in ovarian cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL23159

6 Samples

Download data: CEL, CHP

(Submitter supplied) We investigated whether levels of serum microRNAs (miRNAs) could discriminate women with high-grade serous ovarian epithelial cancer (SEOC) from age matched healthy volunteers. miRNA expression profiling was performed on 4 SEOC cell lines and normal human ovarian surface epithelial cells (HOSE). miR-182, miR-200a, b and c were highly overexpressed in the SEOC cell lines. miR-103, miR-92a and miR-638 displayed relatively invariant expression and with RNU48, were assessed, as putative serum miRNA normalizers. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL15257

5 Samples

Download data: GAL, SPOT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array; Methylation profiling by high throughput sequencing

Platforms:

GPL13534 GPL16791

27 Samples

Download data: IDAT, TXT

(Submitter supplied) The cell and tissue of origin of high grade serous ovarian cancer (HGSC) is controversial. While the disease was traditionally assumed to arise from the ovarian surface epithelium (OSE), recent work supports an alternative model implicating the fallopian tube fimbriae epithelium (FTE). We used comparative DNA methylome analyses as a means to test these two competing models, hypothesizing that the HGSC methylome should more closely resemble its tissue of origin. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL16791

7 Samples

Download data: TXT

(Submitter supplied) The cell and tissue of origin of high grade serous ovarian cancer (HGSC) is controversial. While the disease was traditionally assumed to arise from the ovarian surface epithelium (OSE), recent work supports an alternative model implicating the fallopian tube fimbriae epithelium (FTE). We used comparative DNA methylome analyses as a means to test these two competing models, hypothesizing that the HGSC methylome should more closely resemble its tissue of origin. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

20 Samples

Download data: IDAT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

54 Samples

Download data: CEL

(Submitter supplied) To investigate the mechanisms of kidney tumor progression and metastasis, we performed expression profiling of human kidney cancer and benign tissues.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

26 Samples

Download data: CEL

(Submitter supplied) To investigate the mechanisms of ccRCC progression and metastasis, we performed expression profiling of human kidney cancer and benign tissues.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

28 Samples

Download data: CEL

(Submitter supplied) In the present study we investigated the microenvironment-dependent changes of miRNA expression in colorectal carcinoma DLD1 and HT29 cell lines. Next-generation sequencing technology was employed for the analysis of miRNA expression levels in cells cultivated under 3D multicellular spheroid and 2D culture conditions. The results of our study support the previous observations regarding the role of the tumor microenvironment in the regulation of gene expression. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL16791

8 Samples

Download data: TXT