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MicroRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE67330 | GEO | 2015/03/27

SECONDARY ACCESSION(S): PRJNA279515

REPOSITORIES: GEO

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microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-03-27 | E-GEOD-67330 | biostudies-arrayexpress

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO4]

Project description:Analysis of gene expression in ovarian cancer cells with and without overexpression of the miRNA mir-124 which will provide data about genes possibly directly regulated by miR-124. Also, analysis of gene expression in ovarian cancer cells with and without knockdown of the homeodomain transcription factor SIX4 (a target of miR-124) which will provide data about genes possibly directly regulated by SIX4 Total RNA was isolated from PEO4 cells transfected with miRNA mimic negative control (miNC), miR-124 mimic, siRNA negative control (siNC) oligo, or siRNA targeting the SIX4 gene (siSIX4) 72 hours post-transfection

2015-03-27 | E-GEOD-67328 | biostudies-arrayexpress

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO1]

Project description:Analysis of gene expression in ovarian cancer cells with and without overexpression of the miRNA mir-124 which will provide data about genes possibly directly regulated by miR-124. Also, analysis of gene expression in ovarian cancer cells with and without knockdown of the homeodomain transcription factor SIX4 (a target of miR-124) which will provide data about genes possibly directly regulated by SIX4 Total RNA was isolated from PEO1 cells transfected with miRNA mimic negative control (miNC), miR-124 mimic, siRNA negative control (siNC) oligo, or siRNA targeting the SIX4 gene (siSIX4) 72 hours post-transfection

2015-03-27 | E-GEOD-67327 | biostudies-arrayexpress

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [miRNA]

Project description:Analysis of microRNA (miRNA) expression in ovarian cancer cell lines and human ovarian surface epithelium (HOSE) in order to identify differentially expressed miRNAs between cancer lines and HOSE Total RNA was isolated from cells 72 hours after plating

2015-03-27 | E-GEOD-67329 | biostudies-arrayexpress

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [miRNA]

2015-03-27 | GSE67329 | GEO

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO4]

2015-03-27 | GSE67328 | GEO

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO1]

2015-03-27 | GSE67327 | GEO

Glucocorticoids mediate induction of microRNA-708 to suppress ovarian cancer metastasis through targeting Rap1B.

Project description:Glucocorticoids are widely used in conjunction with chemotherapy for ovarian cancer to prevent hypersensitivity reactions. Here we reveal a novel role for glucocorticoids in the inhibition of ovarian cancer metastasis. Glucocorticoid treatments induce the expression of miR-708, leading to the suppression of Rap1B, which result in the reduction of integrin-mediated focal adhesion formation, inhibition of ovarian cancer cell migration/invasion and impaired abdominal metastasis in an orthotopic xenograft mouse model. Restoring Rap1B expression reverts glucocorticoid-miR-708 cascade-mediated suppression of ovarian cancer cell invasion and metastasis. Clinically, low miR-708 and high Rap1B are found in late-state ovarian tumours, as compared with normal, and patients with high miR-708 show significantly better survival. Overall, our findings reveal an opportunity for glucocorticoids and their downstream mediators, miR-708 or Rap1B, as therapeutic modalities against metastatic ovarian epithelial cancer.

| S-EPMC4354140 | biostudies-literature

Designing early detection programs for ovarian cancer.

Project description:Human epididymis protein 4 (HE4) shows promise as a serum marker that complements CA125 in the early detection of epithelial ovarian cancer, either as a first-line screen or as a second-line screen in a multimodal strategy. Incorporation of symptoms in a screening strategy that includes CA125 and HE4 may warrant further research.

| S-EPMC3280618 | biostudies-other

Network vulnerability-based and knowledge-guided identification of microRNA biomarkers indicating platinum resistance in high-grade serous ovarian cancer.

Project description:BackgroundHigh-grade serous ovarian cancer (HGSC), the most common ovarian carcinoma type, is associated with the highest mortality rate among all gynecological malignancies. As chemoresistance has been demonstrated as the major challenge in improving the prognosis of HGSC patients, we here aimed to identify microRNA (miRNA) biomarkers for predicting platinum resistance and further explore their functions in HGSC.ResultsWe developed and applied our network vulnerability-based and knowledge-guided bioinformatics model first time for the study of drug-resistance in cancer. Four miRNA biomarkers (miR-454-3p, miR-98-5p, miR-183-5p and miR-22-3p) were identified with potential in stratifying platinum-sensitive and platinum-resistant HGSC patients and predicting prognostic outcome. Among them, miR-454-3p and miR-183-5p were newly discovered to be closely implicated in platinum resistance in HGSC. Functional analyses highlighted crucial roles of the four miRNA biomarkers in platinum resistance through mediating transcriptional regulation, cell proliferation and apoptosis. Moreover, expression patterns of the miRNA biomarkers were validated in both platinum-sensitive and platinum-resistant ovarian cancer cells.ConclusionsWith bioinformatics modeling and analysis, we identified and confirmed four novel putative miRNA biomarkers, miR-454-3p, miR-98-5p, miR-183-5p and miR-22-3p that could serve as indicators of resistance to platinum-based chemotherapy, thereby contributing to the improvement of chemotherapeutic efficiency and optimization of personalized treatments in HGSC.

| S-EPMC6820656 | biostudies-literature

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