Genome-wide copy number variation in TP53 mutation negative ovarian tumours
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE19416 | GEO | 2010/03/04
SECONDARY ACCESSION(S): PRJNA121733
REPOSITORIES: GEO
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Project description:High-grade serous ovarian cancer originates in the fallopian tube and is characterized by ubiquitous mutations in TP53. Here, we generated TP53 single-, TP53/BRCA1 and TP53/MYC double- and TP53/BRCA1/MYC triple-mutant subclones of the fallopian tube-derived cell line FNE1 using CRISPR/Cas9. These mutant subclones were subsequently subjected to RNA sequencing to determine the impact of these oncogenic mutations on signaling pathways.
2021-09-28 | GSE182487 | GEO
Project description:Integration of genomic copy number analysis (Affymetrix SNP6.0 arrays) and oncogenic RAS/RAF mutation status with clinical features and tumour progression. This study found that loss of the 9p and the CDKN2A locus with the most significantly enriched copy number aberration distinguishing serous border tumors from low grade serous carcinomas, suggesting this is a key step to tumor progression. Epithelial tissue from 57 serous borderline tumors (SBTs), 19 low grade serous carcinomas (LGSC)(data for 4 of the carcinomas have previously been submitted to GEO - Series GSE19539) and 355 high grade serous carinomas (HGSC)(TCGA, 2011; GSE19539; and 8 new) were analysed for copy number aberrations using Affymetrix SNP6.0 arrays and normalised SNP6.0 data. Stromal tissue from 38 SBT and 1 HGSC were analysed for copy number aberrations using Affymetrix SNP6.0 arrays. Matching lymphocyte DNA was availabe for 54 SBT, 3 LGSC and 1 HGSC. Sanger sequencing of KRAS, BRAF, NRAS, HRAS, ERBB2 and TP53 mutational hotspots was performed on the epithelial and stromal DNA. This information was then correlated with clinical features of the tumors.
2015-03-01 | E-GEOD-58579 | biostudies-arrayexpress
Project description:Integration of genomic copy number analysis (Affymetrix SNP6.0 arrays) and oncogenic RAS/RAF mutation status with clinical features and tumour progression. This study found that loss of the 9p and the CDKN2A locus with the most significantly enriched copy number aberration distinguishing serous border tumors from low grade serous carcinomas, suggesting this is a key step to tumor progression.
2015-03-01 | GSE58579 | 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: 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:Background: Ovarian carcinomas consist of at least five distinct diseases: high-grade serous, low-grade serous, clear cell, endometrioid, and mucinous. Biomarker and molecular characterization may represent a more biologically relevant basis for grouping and treating this family of tumors, rather than site of origin. Molecular characteristics have become the new standard for clinical pathology, however development of tailored type-specific therapies is hampered by a failure of basic research to recognize that model systems used to study these diseases must also be stratified. Unrelated model systems do offer value for study of biochemical processes but specific cellular context needs to be applied to assess relevant therapeutic strategies. Methods: We have focused on the identification of clear cell carcinoma cell line models. A panel of 32 “ovarian cancer” cell lines has been classified into histological types using a combination of mutation profiles, IHC mutation-surrogates, and a validated immunohistochemical model. All cell lines were identity verified using STR analysis. Results: Many described ovarian clear cell lines have characteristic mutations (including ARID1A and PIK3CA) and an overall molecular/immuno-profile typical of primary tumors. Mutations in TP53 were present in the majority of high-grade serous cell lines. Advanced genomic analysis of bona-fide clear cell carcinoma cell lines also support copy number changes in typical biomarkers such at MET and HNF1B and a lack of any recurrent expressed re-arrangements. Conclusions: As with primary ovarian tumors, mutation status of cancer genes like ARID1A and TP53 and a general immuno-profile serve well for establishing histological type of ovarian cancer cell We describe specific biomarkers and molecular features to re-classify generic “ovarian carcinoma” cell lines into type specific categories. Our data supports the use of prototype clear cell lines, such as TOV21G and JHOC-5, and questions the use of SKOV3 and A2780 as models of high-grade serous carcinoma.
2013-08-01 | GSE48351 | 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:Li-Fraumeni syndrome (LFS) is a hereditary cancer predisposition syndrome associated with germline TP53 mutations. We performed whole-genome sequence (WGS) analysis of tumors from 22 TP53 mutation carriers. We observed somatic mutations affecting Wnt, PI3K/AKT signaling, epigenetic modifiers and homologous recombination genes as well as mutational signatures associated with prior chemotherapy. We identified near-ubiquitous early loss of heterozygosity of TP53, with gain of the mutant allele. This occurred earlier in these tumors compared to tumors with somatic TP53 mutations, suggesting the timing of this mark may distinguish germline from somatic TP53 mutations. Phylogenetic trees of tumor evolution, reconstructed from bulk and multi-region WGS, revealed that LFS tumors exhibit comparatively limited heterogeneity. Overall, our study delineates early copy number gains of mutant TP53 as a characteristic mutational process in LFS tumorigenesis, likely arising very early in life or in utero.years prior to tumor diagnosis.
| EGAS00001005982 | EGA
Project description:There is growing evidence that genomic DNA sequence changes occur in individual somatic cells during the lifetime of an individual and accumulation of these changes may influence aging and disease. In light of this, and contradicting reports regarding discordant copy number profiles between MZ twins(BARANZINI et al. 2010; BRUDER et al. 2008), we set out to identify de novo somatic copy number mutations in DNA from blood for MZ twin pairs of Mexican American descent who were participants of the San Antonio Family Heart Study (SAFHS) or San Antonio Family Diabetes/Gallbladder study (SAFDGS). By applying circular binary segmentation (CBS) to B-allele ratio differences we determined that the 3 MZ twin pairs in this study had concordant copy number profiles. We also detected 2 de novo germ-line CNVs in 2 MZ twin pairs from the SAFHS.
2010-12-11 | GSE25826 | GEO
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.
2012-06-01 | GSE29503 | GEO
Project description:Next-generation sequencing (NGS) technologies offer new opportunities for precise and accurate identification of genomic aberrations, including copy number variations (CNVs). For high-throughput NGS data, using depth of coverage has become a major approach to identify CNVs, especially for whole exome sequencing (WES) data. Due to the high level of noise and biases of read-count data and complexity of the WES data, existing CNV detection tools identify many false CNV segments. Besides, NGS generates a huge amount of data, requiring to use effective and efficient methods. In this work, we propose a novel segmentation algorithm based on the total variation approach to detect CNVs more precisely and efficiently using WES data. The proposed method also filters out outlier read-counts and identifies significant change points to reduce false positives. We used real and simulated data to evaluate the performance of the proposed method and compare its performance with those of other commonly used CNV detection methods. Using simulated and real data, we show that the proposed method outperforms the existing CNV detection methods in terms of accuracy and false discovery rate and has a faster runtime compared to the circular binary segmentation method.
| S-EPMC7278034 | biostudies-literature