Copy number data from paired primary and relapse ovarian tumours
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE38787 | GEO | 2012/06/21
SECONDARY ACCESSION(S): PRJNA169072
REPOSITORIES: GEO
Similar Datasets
Project description:We used copy number analysis of paired primary and relapse ovarian tumours to identify genes associated with acquired resistance Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from ovarian tumours. Copy number profiles of 22 primary and matched ascites samples. Multiple biopsies of four samples were also profiled to assess the intra tumour heterogeneity in samples.
2012-06-20 | E-GEOD-38787 | biostudies-arrayexpress
Project description:Genome-wide copy number variation was measured in TP53 mutation negative ovarian tumours. Analysis described in "Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary" (Ahmed et al., 2010)
2010-03-04 | GSE19416 | GEO
Project description:Introduction: Mucinous tumors are the second most common form of epithelial ovarian tumor, yet the cell of origin for this histological sub-type remains undetermined. While these tumors are thought to arise through a stepwise progression from benign cystadenoma to borderline tumor to invasive carcinoma, few studies have attempted to comprehensively characterize the genetic changes specific to this subtype or its precursors. Methods: To explore the spectrum of genomic alterations common to mucinous tumors we performed high resolution genome-wide copy number analysis, mutation screening by Sanger sequencing and immunohistochemistry on a series of primary ovarian mucinous cystadenomas (n=20) and borderline tumors (n=22). Results: Integration of copy number data, targeted mutation screening of RAS/RAF pathway members and immunohistochemistry reveals that p16 loss and RAS/RAF pathway alterations are highly recurrent events that occur early during mucinous tumor development. The frequency of concurrence of these events was observed in 40% of benign cystadenomas and 68% of borderline tumors. Conclusions: This study is the largest and highest resolution analysis of mucinous benign and borderline tumors performed to date and provides strong support for these lesions being precursors of primary ovarian mucinous adenocarcinoma. The high level of uniformity in the molecular events underlying the pathogenesis of mucinous ovarian tumors provides an opportunity for treatments targeting specific mutations and pathways. Copy number data was generated for 42 mucinous ovarian tumours (20 benign, 22 borderline). Epithelial and stromal DNA from the tumours and matched-normal lymphocyte DNA were all analysed. Processed/normalized data for the germline DNA samples are not provided because they themselves are normalised to a diploid copy number, making all the probe values 2, which is not informative.
2012-08-26 | E-GEOD-39076 | biostudies-arrayexpress
Project description:Genome-wide copy number variation was measured in primary tumours of the ovary, Fallopian tube and peritoneum. A well-defined subset of advanced-stage serous tumors was then used to relate CNV to primary resistance to treatment. Analysis is described in: Etemadmoghadam, D., et al. (2009). "Integrated genome-wide DNA copy number and expression analysis identifies distinct mechanisms of primary chemoresistance in ovarian carcinomas." Clin Cancer Res 15(4): 1417-27.
2009-02-17 | GSE13813 | GEO
Project description:Genome-wide copy number variation was measured in primary tumours of the ovary, Fallopian tube and peritoneum. A well-defined subset of advanced-stage serous tumors was then used to relate CNV to primary resistance to treatment. Analysis is described in "Integrated Genome-wide DNA Copy Number and Expression Analysis Identifies Distinct Mechanisms of Primary Chemo-resistance in Ovarian Carcinomas", Etemadmoghadam et al. In press, Clinical Cancer Research. Experiment Overall Design: 118 needle-dissected or whole tumours (>80% tumour content) were analysed.
2009-03-01 | E-GEOD-13813 | biostudies-arrayexpress
Project description:We used microarray CGH analysis with a tiling path BAC DNA microarray to profile DNA copy number alterations in 164 serous ovarian adenocarcinomas. Survival probabilities modelled by proportional hazards were used to stratify cases into good, intermediate or poor survival groups. Comparison of aCGH data from these groups was used to identify genomic alterations associated with patient survival. A total of 984 cases of serous ovarian adenocarcinoma from three different studies were combined and Cox proportional hazards used to model survival using patient age, tumour stage and residual disease status as covariates. Survival probabilities (Pr) were extracted for all cases and used to stratify 384 cases for which microarray CGH data was available. From these, we identified 70 cases with poor survival (Pr>0.784) and 70 cases with good survival (Pr<0.35). aCGH data from these cases was provided to an iterative Support Vector Machine (SVM) routine to detect copy number changes associated with survival. Candidate regions were then validated by survival analysis in all 384 cases for which aCGH data was available. This series contains aCGH data from 164 tumours from the MALOVA collection.
2012-05-31 | E-GEOD-29503 | biostudies-arrayexpress
Project description:Introduction: Mucinous tumors are the second most common form of epithelial ovarian tumor, yet the cell of origin for this histological sub-type remains undetermined. While these tumors are thought to arise through a stepwise progression from benign cystadenoma to borderline tumor to invasive carcinoma, few studies have attempted to comprehensively characterize the genetic changes specific to this subtype or its precursors. Methods: To explore the spectrum of genomic alterations common to mucinous tumors we performed high resolution genome-wide copy number analysis, mutation screening by Sanger sequencing and immunohistochemistry on a series of primary ovarian mucinous cystadenomas (n=20) and borderline tumors (n=22). Results: Integration of copy number data, targeted mutation screening of RAS/RAF pathway members and immunohistochemistry reveals that p16 loss and RAS/RAF pathway alterations are highly recurrent events that occur early during mucinous tumor development. The frequency of concurrence of these events was observed in 40% of benign cystadenomas and 68% of borderline tumors. Conclusions: This study is the largest and highest resolution analysis of mucinous benign and borderline tumors performed to date and provides strong support for these lesions being precursors of primary ovarian mucinous adenocarcinoma. The high level of uniformity in the molecular events underlying the pathogenesis of mucinous ovarian tumors provides an opportunity for treatments targeting specific mutations and pathways.
2012-08-26 | GSE39076 | GEO
Project description:We have used ChIP-seq to characterize genome-wide positioning of H3K4me3 and H3K27me3 associated chromatin in primary high-grade serous ovarian carcinoma and normal ovarian surface and fallopian tube tissue. Sets of genes with proximal bivalent marks were defined using this data and subsequently evaluated as signatures of systematic change in DNA methylation and gene expression between pairs of tissue samples taken from patients at primary presentation and relapse following chemotherapy. Gene expression microarrays from primary tumours were used to assess transcriptional associations of chromatin marks identified in tumours through ChIP-seq
2018-08-09 | GSE107929 | GEO
Project description:We have used ChIP-seq to characterize genome-wide positioning of H3K4me3 and H3K27me3 associated chromatin in primary high-grade serous ovarian carcinoma and normal ovarian surface and fallopian tube tissue. Sets of genes with proximal bivalent marks were defined using this data and subsequently evaluated as signatures of systematic change in DNA methylation and gene expression between pairs of tissue samples taken from patients at primary presentation and relapse following chemotherapy. Gene expression microarrays from primary tumours were used to assess transcriptional associations of chromatin marks identified in tumours through ChIP-seq
2018-08-09 | GSE107927 | GEO
Project description:Ovarian cancer is characterized by multiple structural aberrations; most are passenger alterations which do not confer tumor growth. Like many cancers, it is a heterogeneous disease and till date, the histotype-specific copy number landscape has been difficult to elucidate. To dissect the heterogeneity of ovarian cancer and understand the pathogenesis of its various histotypes, we developed an in silico hypothesis-driven workflow to identify histotype-specific copy number aberrations across multiple datasets of epithelial ovarian cancer. In concordance with previous studies on global copy number changes, our study showed similar alterations. However, when the landscape was de-convoluted into histotypes, distinct alterations were observed. We report here a comprehensive histotype-specific copy number landscape of ovarian cancer and showed that there is genomic diversity between the histotypes; some involving well known cancer genes and some novel potential driver genes. Besides preferential occurrence of alterations in some histotypes, opposite trends of alteration were observed; such as ERBB2 amplification in mucinous but deletion in serous tumors. The landscape highlights the need for identifying histotype-specific aberrations in ovarian cancer and present potential to tailor management of ovarian cancer based on molecular signature of histotypes.
2012-10-25 | GSE30300 | GEO