7548f492-dc40-4c94-bf1c-c3c4465bc6e0 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001010019 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Whole genome sequencing data of 26 high-grade serous carcinoma (HGSC) patients (87 samples) sequenced with MGISEQ-2000 and HiSeq X Ten.
| EGAD00001011304 | EGA
Project description:Whole genome sequencing data of 6 high-grade serous carcinoma (HGSC) patients (11 samples) sequenced with MGISEQ-2000
| EGAD00001011353 | EGA
Project description:Whole genome sequencing data of 21 high-grade serous carcinoma (HGSC) patients (59 samples) sequenced with MGISEQ-2000.
| EGAD00001011086 | EGA
Project description:Whole genome sequencing data of 31 high-grade serous carcinoma (HGSC) patients (101 samples) sequenced with HiSeq X Ten and BGISEQ-500
| EGAD00001010202 | EGA
Project description:Improved biomarkers of treatment response are needed for patients with High-Grade Serous Ovarian Cancer (HGSC). A challenge is substantial anatomical site-to-site variation in expression. We completed Data Independent Acquisition – Mass Spectrometry (DIA-MS) analysis of over 404 fresh frozen and 78 formalin fixed, paraffin-embedded HGSC tissue samples from ovary (adnexal) and a common secondary site (omentum) in 11 patients. This was compared with mutation testing, gene expression and whole genome copy number profiling. Proteins with relatively stable intra-, and variable inter-individual expression (n=1,651), included a 52-protein module reflecting interferon mediated tissue inflammation indicative of a cGAS-STING pathway cytosolic double-stranded (ds) DNA response. The dsDNA sensing / inflammation (DSI) score was higher in omentum compared with ovary. Ovarian HGSC samples showed marked inter-individual differences in inflammatory and immune responses to DNA damage. Stable discriminative features of the HGSC proteome, a prerequisite for clinical predictive biomarkers, are detectable in ovary (adnexal) tissue samples.
2025-06-11 | GSE277107 | GEO
Project description:High-grade serous ovarian cancer (HGSC) has a disproportionate impact on cancer-related mortality in women. There is an urgent need to improve treatment options for HGSC. This includes better selection of patients who will benefit from existing treatments, including HRD targeted therapy, and discovery of new targeted therapeutic options. Reliable tissue-based biomarkers that can guide treatment selection are key to progress in this area. A challenge for their definition is the large volume of disease that is characteristically present at HGSC diagnosis and that can show considerable heterogeneity within and between anatomical sites. In order to address this issue, we carried out a detailed study of the HGSC proteome in eleven individuals by comparing genomic and gene-expression features with multiple independent proteomic results derived from fresh frozen (FF) and formalin fixed paraffin embedded (FFPE) samples from both ovary and a common metastatic site, omentum. Our findings gave emphasis to the influence of sample site of origin on biomarker expression, and revealed opportunities to detect mechanisms shaping the HGSC tumour immune microenvironment from tissue proteomics. The dataset also forms a useful resource to investigate molecular heterogeneity in HGSC.
2025-06-13 | PXD042150 | Pride
Project description:The cell and tissue of origin of high grade serous ovarian cancer (HGSC) is controversial. While the disease was traditionally assumed to arise from the ovarian surface epithelium (OSE), recent work supports an alternative model implicating the fallopian tube fimbriae epithelium (FTE). We used comparative DNA methylome analyses as a means to test these two competing models, hypothesizing that the HGSC methylome should more closely resemble its tissue of origin. Using two separate analysis methods, analysis within distinct genomic contexts, and validation studies using large-scale publically available HGSC methylome data, we consistently observed that the DNA methylome of HGSC more closely resembles FTE than OSE. These data support the FTE origin model, and suggest DNA methylome analysis as a useful approach to examine cell/tissue lineage origin in cancer. HGSC is the most common and lethal form of epithelial ovarian cancer (EOC). Two distinct tissues have been hypothesized as the tissue of origin of HGSC: OSE and FTE. We hypothesized that the DNA methylome of HGSC would more closely resemble the methylome of its tissue of origin. To test this, we profiled HGSC (n=10), OSE (n=7), and FTE (n=7) primary fresh-frozen tissues, and analyzed DNA methylome using Illumina 450K arrays (n=24) and Agilent Sure Select methyl-seq (n=7). We compared methylomes using statistical analyses of differentially methylated CpG sites (DMC) and differentially methylated regions (DMR), and methylation within a variety of different genomic contexts, including CpG island shores. We also analyzed methylation specifically at Homeobox (HOX) genes, due to their role in tissue specification. We used publically available HGSC methylome data (n=628) to provide additional comparison with FTE and OSE and potential validation. This analysis revealed that HGSC and FTE methylomes were significantly and consistently more highly conserved than were HGSC and OSE. Pearson correlations and hierarchal clustering of genes, promoters, CpG islands, CpG island shores, and HOX genes all revealed the increased relatedness of HGSC and FTE methylomes. In addition, two different large data sets of publically-available HGSC methylome data confirmed these relationships. In summary, our findings support the FTE origin model for HGSC, the most common and deadly EOC subtype. Due to its tissue-specificity and biochemical stability, interrogation of the DNA methylome appears to be a valuable approach to examine cell/tissue lineage in cancer.
2016-05-10 | GSE81224 | GEO
Project description:The cell and tissue of origin of high grade serous ovarian cancer (HGSC) is controversial. While the disease was traditionally assumed to arise from the ovarian surface epithelium (OSE), recent work supports an alternative model implicating the fallopian tube fimbriae epithelium (FTE). We used comparative DNA methylome analyses as a means to test these two competing models, hypothesizing that the HGSC methylome should more closely resemble its tissue of origin. Using two separate analysis methods, analysis within distinct genomic contexts, and validation studies using large-scale publically available HGSC methylome data, we consistently observed that the DNA methylome of HGSC more closely resembles FTE than OSE. These data support the FTE origin model, and suggest DNA methylome analysis as a useful approach to examine cell/tissue lineage origin in cancer. HGSC is the most common and lethal form of epithelial ovarian cancer (EOC). Two distinct tissues have been hypothesized as the tissue of origin of HGSC: OSE and FTE. We hypothesized that the DNA methylome of HGSC would more closely resemble the methylome of its tissue of origin. To test this, we profiled HGSC (n=10), OSE (n=7), and FTE (n=7) primary fresh-frozen tissues, and analyzed DNA methylome using Illumina 450K arrays (n=24) and Agilent Sure Select methyl-seq (n=7). We compared methylomes using statistical analyses of differentially methylated CpG sites (DMC) and differentially methylated regions (DMR), and methylation within a variety of different genomic contexts, including CpG island shores. We also analyzed methylation specifically at Homeobox (HOX) genes, due to their role in tissue specification. We used publically available HGSC methylome data (n=628) to provide additional comparison with FTE and OSE and potential validation. This analysis revealed that HGSC and FTE methylomes were significantly and consistently more highly conserved than were HGSC and OSE. Pearson correlations and hierarchal clustering of genes, promoters, CpG islands, CpG island shores, and HOX genes all revealed the increased relatedness of HGSC and FTE methylomes. In addition, two different large data sets of publically-available HGSC methylome data confirmed these relationships. In summary, our findings support the FTE origin model for HGSC, the most common and deadly EOC subtype. Due to its tissue-specificity and biochemical stability, interrogation of the DNA methylome appears to be a valuable approach to examine cell/tissue lineage in cancer.
2016-05-10 | GSE81227 | GEO
Project description:To compare the performance of Illumina and BGI sequencing technologies for high-throughput single cell sequencing, four Chromium single cell libraries of the following human cell types: Induced Pluripotent Stem Cells (hIPSC), cultured Trabecular MeshWork Cells (TMWC) and Peripheral Blood Mononuclear Cells (PBMCs), were sequenced on Illumina sequencers (NextSeq 500, NovaSeq 6000) and a BGI sequencer (MGISEQ-2000). The technologies were benchmarked based on sequencing quality, characterisation of cell populations within samples and for specific single cell analyses such as variant calling and detection of guide RNAs from pooled CRISPR screens.
2020-05-19 | E-MTAB-9024 | biostudies-arrayexpress