Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Illumina HumanMethylation450 array data for Ovarian Cancer Samples

ABSTRACT: This study aimed to generate a new panel of comprehensively, genomically characterized high-grade serous ovarian carcinoma (HGSOC) cell line and xenograft models. Multidimensional genomic data were generated and compared between cell lines/xenografts and the tumours they were derived from, indicating the cell lines/xenografts are highly similar to their patient-matched tumours. Cell line/xenograft data were also compared to TCGA ovarian tumours to show the cell lines are good models of clinical HGSOC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE71523 | GEO | 2016/08/11

SECONDARY ACCESSION(S): PRJNA291450

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Illumina HumanMethylation450 array data for Ovarian Cancer Samples

Project description:This study aimed to generate a new panel of comprehensively, genomically characterized high-grade serous ovarian carcinoma (HGSOC) cell line and xenograft models. Multidimensional genomic data were generated and compared between cell lines/xenografts and the tumours they were derived from, indicating the cell lines/xenografts are highly similar to their patient-matched tumours. Cell line/xenograft data were also compared to TCGA ovarian tumours to show the cell lines are good models of clinical HGSOC. Illumina HumanMethylation450 arrays were performed according to the manufacturer's directions on DNA extracted from i) tumour cells purified from ovarian tumour ascites, and ii) established cell lines. Evaluation of the similarity in copy number/methylation/gene expression/mutational profiles of cell lines/tumours/xenografts was performed.

2016-08-11 | E-GEOD-71523 | biostudies-arrayexpress

Illumina HT-12 v4 expression array data for Ovarian Cancer Samples

Project description:This study aimed to generate a new panel of comprehensively, genomically characterized high-grade serous ovarian carcinoma (HGSOC) cell line and xenograft models. Multidimensional genomic data were generated and compared between cell lines/xenografts and the tumours they were derived from, indicating the cell lines/xenografts are highly similar to their patient-matched tumours. Cell line/xenograft data were also compared to TCGA ovarian tumours to show the cell lines are good models of clinical HGSOC. Illumina HT-12 v4 arrays were performed according to the manufacturer's directions on total RNA extracted from i) tumour cells purified from ovarian tumour ascites, and ii) established cell lines. Evaluation of the similarity in copy number/methylation/gene expression/mutational profiles of cell lines/tumours/xenografts was performed.

2016-08-11 | E-GEOD-71524 | biostudies-arrayexpress

Illumina HT-12 v4 expression array data for Ovarian Cancer Samples

2016-08-11 | GSE71524 | GEO

Affymetrix SNP array data for Ovarian Cancer Samples

2016-08-11 | GSE71522 | GEO

Affymetrix SNP array data for Ovarian Cancer Samples

Project description:This study aimed to generate a new panel of comprehensively, genomically characterized high-grade serous ovarian carcinoma (HGSOC) cell line and xenograft models. Multidimensional genomic data were generated and compared between cell lines/xenografts and the tumours they were derived from, indicating the cell lines/xenografts are highly similar to their patient-matched tumours. Cell line/xenograft data were also compared to TCGA ovarian tumours to show the cell lines are good models of clinical HGSOC. Affymetrix SNP 6 arrays were performed according to the manufacturer's instructions on genomic DNA extracted from i) tumour cells purified from ovarian tumour ascites, ii) established cell lines, iii) patient derived xenografts, and iv) lymphoblast lines. Evaluation of the similarity in copy number/methylation/gene expression/mutational profiles of cell lines/tumours/xenografts was performed.

2016-08-11 | E-GEOD-71522 | biostudies-arrayexpress

Sequential azacitidine and carboplatin can prime high-grade serous ovarian cancer to respond to checkpoint inhibitor immunotherapy.

Project description:Platinum chemoresistance results in disease recurrence in patients with high-grade serous ovarian cancer (HGSOC). Recent advances in the treatment of solid tumours using checkpoint inhibitor immunotherapy has not benefited platinum-resistant HGSOC. Epigenetic silencing of genes involved in triggering cell death and apoptosis in HGSOC is known to occur via hypermethylation during development of platinum resistance. DNA methyltransferase (DNMT) inhibitors block methylation from occurring and allow silenced genes to be expressed. In ovarian cancer, DNMT inhibitors alter the epigenome and transcriptome of the tumours, which primarily affected expression of immune reactivation pathways. We aimed to determine the epigenome and transcriptome response to sequential treatment of HGSOC cells with DNMTi followed by standard-of-care carboplatin.

2022-02-02 | GSE169617 | GEO

Sequential azacitidine and carboplatin can prime high-grade serous ovarian cancer to respond to checkpoint inhibitor immunotherapy

2022-02-02 | GSE168225 | GEO

Identification of MRCKA as an integral component of ovarian cancer signaling and a therapeutic target

Project description:High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecological cancer with few effective targeted therapies. HGSOC tumors exhibit genomic instability with frequent alterations in the protein kinome; however, only a small fraction of the kinome has been therapeutically targeted in HGSOC. Using multiplexed inhibitor beads and mass spectrometry (MIB-MS), we mapped the kinome landscape of HGSOC patient tumors and tumors isolated from HGSOC patient-derived xenograft (PDX) models. Kinome profiling of HGSOC tumors uncovered a prevalent MIB-MS kinome signature consisting of established HGSOC driver kinases, as well as several kinases previously unexplored in HGSOC. Loss-of-function analysis targeting the tumor kinome signature in HGSOC cells nominated CDC42BPA (also known as MRCKA) as a putative therapeutic target. Characterization of MRCKA knockdown in established HGSOC cell lines demonstrated MRCKA was integral to signaling that regulated the cell cycle checkpoint and focal adhesion/ actin remodeling, and depletion of MRCKA impaired cell migration, proliferation and survival. Moreover, small molecule inhibition of MRCKA using BDP9066 inhibited cell growth and induced apoptosis in HGSOC cells, as well as blocked spheroid formation, supporting MRCKA as a novel therapeutic target for the treatment of HGSOC.

2020-02-19 | PXD015782 | Pride

Identification of MRCKA as an integral component of ovarian cancer signaling and a therapeutic target

2020-02-19 | PXD015781 | Pride

Identification of MRCKA as an integral component of ovarian cancer signaling and a therapeutic target

2020-02-19 | PXD015849 | Pride