Whole-genome oligonucleotide expression analysis of papillary serous ovarian adenocarcinomas
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE18520 | GEO | 2009/10/17
SECONDARY ACCESSION(S): PRJNA123711
REPOSITORIES: GEO
Similar Datasets
Project description:To demonstrate the use of a whole-genome oligonucleotide array to perform expression profiling on a series of microdissected late-stage, high-grade papillary serous ovarian adenocarcinomas to establish a prognostic gene signature correlating with survival and to identify novel survival factors in ovarian cancer. Advanced stage papillary serous tumors of the ovary are responsible for the majority of ovarian cancer deaths, yet the molecular determinants modulating patient survival are poorly characterized. We identify and validate a prognostic gene expression signature correlating with survival in a series of microdissected serous ovarian tumors. Experiment Overall Design: We identified 53 advanced stage, high-grade primary tumor specimens and 10 normal ovarian surface epithelium (OSE) brushings.
2009-10-23 | E-GEOD-18520 | biostudies-arrayexpress
Project description:Ovarian cancer is the fifth most common form of cancer in women in the United States. Among different types of ovarian cancer, epithelial ovarian cancer is the most common and is highly lethal, however, prognostic and predictive markers, which can be used to predict chemoresponse and patient survival, have not been thoroughly explored. One critically important yet often overlooked component to the tumor progression process is the tumor microenvironment. Primarily composed of fibroblasts and extracellular matrix proteins (ECM) as well as endothelial cells and lymphocytic infiltrate, the tumor microenvironment has been shown to directly affect cell growth, migration, and differentiation through secreted proteins, cell-cell interactions and matrix remodeling (Tlsty and Coussens, 2006). The tumor microenvironment has the potential to promote tumor initiation of normal epithelial cells and facilitate progression of malignant cells, thereby, presenting a unique approach to diagnosing, understanding and treating cancer. Using a whole-genome oligonucleotide array platform to perform transcriptome profiling on the fibroblastic stromal component microdissected from a series of advanced stage high-grade serous ovarian adenocarcinomas, we identified a transcriptome signature for the ovarian cancer associated fibroblast (CAF). We further functionally characterized one of the identified genes, MFAP5, and we showed that stromal MFAP5 is a prognostic marker associated with poor patient survival. In addition to that, to investigate the signaling machanism and the effect of MFAP5 treatment on ovarian cancer cells, transcriptome profiling of MFAP5 treated OVCA432 high-grade serous ovarian cancer cells was performed. Further functional studies showed that stromal MFAP5 modulated ovarian cancer cell motility and invasion potential.
2014-10-01 | GSE40643 | GEO
Project description:Ovarian cancer is the fifth most common form of cancer in women in the United States. Among different types of ovarian cancer, epithelial ovarian cancer is the most common and is highly lethal, however, prognostic and predictive markers, which can be used to predict chemoresponse and patient survival, have not been thoroughly explored. One critically important yet often overlooked component to the tumor progression process is the tumor microenvironment. Primarily composed of fibroblasts and extracellular matrix proteins (ECM) as well as endothelial cells and lymphocytic infiltrate, the tumor microenvironment has been shown to directly affect cell growth, migration, and differentiation through secreted proteins, cell-cell interactions and matrix remodeling (Tlsty and Coussens, 2006). The tumor microenvironment has the potential to promote tumor initiation of normal epithelial cells and facilitate progression of malignant cells, thereby, presenting a unique approach to diagnosing, understanding and treating cancer. Using a whole-genome oligonucleotide array platform to perform transcriptome profiling on the fibroblastic stromal component microdissected from a series of advanced stage high-grade serous ovarian adenocarcinomas, we identified a transcriptome signature for the ovarian cancer associated fibroblast (CAF). We further functionally characterized one of the identified genes, MFAP5, and we showed that stromal MFAP5 is a prognostic marker associated with poor patient survival. In addition to that, to investigate the signaling machanism and the effect of MFAP5 treatment on ovarian cancer cells, transcriptome profiling of MFAP5 treated OVCA432 high-grade serous ovarian cancer cells was performed. Further functional studies showed that stromal MFAP5 modulated ovarian cancer cell motility and invasion potential. High grade serous ovarian cancer cell line OVCA432 was used. Total RNA was isolated from control samples and MFAP5 treated cancer cell samples at 48 hours post-treatment. Followed by cDNA synthesis, IVT and biotin labeling, samples were then hybridized onto Affymetrix Human genome U133 plus 2.0 microarrays. For each treatment group, three independent samples were prepared for the microarray experiment.
2014-10-01 | E-GEOD-40643 | biostudies-arrayexpress
Project description:To identify the potential ovarian cancer stem cell gene expression profile from isolated side population of fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma Microarrays were used to interrogate the differentially expressed genes between side population (SP) and main population (MP) isolated from fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma, and the results were analyzed by paired T-test using BRB-ArrayTools
2011-11-23 | GSE33874 | GEO
Project description:Low-grade serous ovarian carcinoma is believed to arise from serous borderline ovarian tumors, yet the progression from serous borderline tumors to low-grade serous ovarian carcinoma remains poorly understood. The purpose of this study was to identify differentially expressed genes between the two groups. Expression profiles were generated from 6 human ovarian surface epithelia (HOSE), 8 serous borderline ovarian tumors (SBOT), 13 low-grade serous ovarian carcinomas (LG), and 22 high-grade serous ovarian carcinomas (HG). The anterior gradient homolog 3 (AGR3) gene was found to be highly upregulated in serous borderline ovarian tumors; this finding was validated by real-time quantitative RT-PCR, Western blotting, and immunohistochemistry. Anti-AGR3 immunohistochemistry was performed on an additional 56 LG and 103 HG tissues and the results were correlated with clinical data. Expression profiling determined that 1254 genes were differentially expressed (P < 0.005) between SBOT, LG and HG tumors. Serous borderline ovarian tumors exhibited robust positive staining for AGR3, with a lower percentage of tumor cells stained in LG and HG. Immunofluorescence staining indicated that AGR3 expression was limited to ciliated cells. Tumor samples with a high percentage (>10%) of AGR3 positively stained tumor cells were associated with improved longer median survival in both the LG (P = 0.013) and HG (P = 0.008) serous ovarian carcinoma groups. The progression of serous borderline ovarian tumors to low-grade serous ovarian carcinoma may involve the de-differentiation of ciliated cells. AGR3 could serve as a prognostic marker for survival in patients with low-grade and high-grade serous ovarian carcinomas. Total RNA were extracted from microdissected human ovarian surface epithelia (HOSE, n=6), and microdissected serous borderline ovarian tumors (LMP, n=8), low-grade serous ovarian carcinomas (LGOSC, n=13), and 22 high-grade serous ovarian carcinomas (HGOSC, n=22). Gene Expression profiles were then generated with commercial GeneChip Human Genome U133 Plus 2.0 Array. dChip was used to identify significant differentially expressed genes between LMP/LGOSC and HGOSC
2011-03-04 | E-GEOD-27651 | biostudies-arrayexpress
Project description:Ovarian cancer is the fifth most common form of cancer in women in the United States. Among different types of ovarian cancer, epithelial ovarian cancer is the most common and is highly lethal; however, prognostic and predictive markers, which can be used to predict chemoresponse and patient survival, have not been thoroughly explored. One critically important yet often overlooked component to the tumor progression process is the tumor microenvironment. Primarily composed of fibroblasts and extracellular matrix proteins (ECM) as well as endothelial cells and lymphocytic infiltrate, the tumor microenvironment has been shown to directly affect cell growth, migration, and differentiation through secreted proteins, cell-cell interactions and matrix remodeling (Tlsty and Coussens, 2006). The tumor microenvironment has the potential to promote tumor initiation of normal epithelial cells and facilitate progression of malignant cells, thereby, presenting a unique approach to diagnosing, understanding and treating cancer. Using a whole-genome oligonucleotide array platform to perform transcriptome profiling on the fibroblastic stromal component microdissected from a series of advanced stage high-grade serous ovarian adenocarcinomas, we identified a transcriptome signature for the ovarian cancer-associated fibroblast (CAF). We further functionally characterized one of the identified genes, MFAP5, and we showed that stromal MFAP5 is a prognostic marker associated with poor patient survival. In addition, to investigate the signaling mechanism and the effect of MFAP5 treatment on ovarian cancer angiogenesis, transcriptome profiling was performed on mouse endothelial cells migrated into matrigel reconstituted with recombinant MFAP5 protein.
2019-12-31 | GSE70344 | GEO
Project description:To identify the potential ovarian cancer stem cell gene expression profile from isolated side population of fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma Microarrays were used to interrogate the differentially expressed genes between side population (SP) and main population (MP) isolated from fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma, and the results were analyzed by paired T-test using BRB-ArrayTools Gene expression profiling was completed for 10 SP and MP pairs using the Affymetrix human U133 Plus 2.0 Arrays
2011-11-23 | E-GEOD-33874 | biostudies-arrayexpress
Project description:Comparative genomic hybridization analysis on advanced stage high-grade serous ovarian cancer. CGH was performed on 42 DNA isolated from microdissected advanced stage high-grade serous ovarian cancer.
2009-10-02 | E-GEOD-18154 | biostudies-arrayexpress
Project description:Gene expression profiling on 63 stage III-IV papillary serous ovarian cancer samples resected during primary debulking at the University of Turin, Italy. Only the primary ovarian mass and no metastases were included in this analysis. The study focused on ovarian cancer chemokine expressions
2014-12-04 | GSE62873 | GEO
Project description:To identify and evaluate the prognostic ability of progression-free survival-related profile for advanced-stage ovarian cancer, advanced-stage serous ovarian cancer tissues from 110 patients who received primary surgery and a platinum/taxane-based chemotherapy were profiled using oligonucleotide microarrays of more than 40,000 transcripts. We first selected 88 genes by a univariate Cox proportional hazard analysis (p<0.01) and next optimized regression coefficients by ridge regression model using 10-fold cross-validation. The prognostic index was independently associated with PFS time compared to other clinical factors in multivariate analysis [hazard ratio (HR), 3.72; 95% confidence interval (CI), 2.66–5.43; p,0.0001]. In an external dataset, multivariate analysis revealed that this prognostic index was significantly correlated with PFS time (HR, 1.54; 95% CI, 1.20–1.98; p = 0.0008). Furthermore, the correlation between the prognostic index and overall survival time was confirmed in the two independent external datasets (log rank test, p = 0.0010 and 0.0008). In multivariable analysis, our prognostic index was independently associated with progression-free survival times compared to other clinical factors (p<0.001). Furthermore, the prognostic ability of our prognostic index was validated in external, publicly available dataset (n = 87), and was proved in multivariate analysis (p = 0.0032). These results suggest that disease progression or recurrence of advanced-stage serous ovarian cancer can be predicted by gene expression profile. The prognostic ability of our index based on the 88-gene expression profile in ridge regression Cox hazard model was shown to be independent of other clinical factors in predicting cancer prognosis across two distinct datasets. Further study will be necessary to improve predictive accuracy of the prognostic index toward clinical application for evaluation of the risk of recurrence in patients with advanced-stage serous ovarian cancer.
2010-03-22 | GSE17260 | GEO