HGSOC organoid sequencing study
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ABSTRACT:
PROVIDER: EGAS00001007189 | EGA |
REPOSITORIES: EGA
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Project description:High-grade serous ovarian carcinoma (HGSOC) is the most genomically complex cancer, characterised by ubiquitous TP53 mutation, profound structural variation and heterogeneity. Multiple mutational processes driving chromosomal instability can be distinguished by specific copy number signatures. To develop clinically relevant models of these mutational processes we derived 15 continuous HGSOC patient-derived organoids (PDOs) and provide detailed transcriptomic and genomic profiles using shallow whole genome sequencing single cell and bulk analysis. We show that PDOs comprise communities of different clonal populations and represent models of CCNE1 amplification, chromothripsis, tandem-duplicator phenotype and whole genome duplication. PDOs can also be used as exploratory tools to study transcriptional effects of copy number alterations as well as compound-sensitivity tests. In summary, HGSOC PDO cultures provide a genomic tool for studies of specific mutational processes and precision therapeutics.
2022-07-17 | GSE208216 | GEO
Project description:High-grade serous ovarian cancer (HGSOC) is an archetypal cancer of genomic instability patterned by distinct mutational processes, tumour heterogeneity and intraperitoneal spread. Immunotherapies have had limited efficacy in HGSOC, highlighting an unmet need to assess how mutational processes and the anatomical sites of tumour foci determine the immunological states of the tumour microenvironment. Here we carried out an integrative analysis of whole-genome sequencing, single-cell RNA sequencing, digital histopathology and multiplexed immunofluorescence of 160 tumour sites from 42 treatment-naive patients with HGSOC. Homologous recombination-deficient HRD-Dup (BRCA1 mutant-like) and HRD-Del (BRCA2 mutant-like) tumours harboured inflammatory signalling and ongoing immunoediting, reflected in loss of HLA diversity and tumour infiltration with highly differentiated dysfunctional CD8+ T cells. By contrast, foldback inversion-bearing tumours exhibited elevated immunosuppressive TGFβ signalling and immune exclusion, with predominantly naive/stem-like and memory T cells. Phenotypic state associations were specific to anatomical sites, highlighting compositional, topological and functional differences between adnexal tumours and distal peritoneal foci. Our findings implicate anatomical sites and mutational processes as determinants of evolutionary phenotypic divergence and immune resistance mechanisms in HGSOC. Our study provides a multi-omic cellular phenotype data substrate from which to develop and interpret future personalized immunotherapeutic approaches and early detection research.
2022-12-14 | GSE180661 | GEO
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
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
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
Project description:High-grade serous ovarian cancer (HGSOC) exhibits significant genomic heterogeneity within a patient at presentation. Recent work has suggested that this heterogeneity is linked to the development of resistance and disease progression in that chemotherapy selects for minor resistant subclones embodied in presentation disease leading to short progression-free survival and resistant relapse. Cell line models support this by showing that relapse is not an immediate descendant of presentation disease, but so far no immediate clinical evidence has been provided that convincingly demonstrates the origin of relapse. It is further still unclear what evolutionary processes shape the mutational landscape of HGSOC in vivo and to what extent the degree of genomic heterogeneity impacts a patient's clinical outcome. We address these questions by inferring evolutionary trees of metastatic disease from structural variations between 138 cancer samples obtained from 17 patients undergoing neoadjuvant chemotherapy for HGSOC. Using novel phylogenetic methods, we quantify genomic changes in the course of chemotherapy and the degree of clonal expansion and show that these indices determine patient outcome with high accuracy. We demonstrate that relapse is indeed a minor subclone of presentation disease by verifying that the focal NF1 deletion of a relapse case was already present at biopsy. By leveraging the information contained in the evolutionary trees, we unveil the etiology of genetic heterogeneity and the tumorigenic potential of HGSOC cell populations. This is the first comprehensive study showing the origin, strength and effect of genetic heterogeneity in HGSOC in a clinical setting. In addition to its immediate clinical significance, it strengthens previous statements that single sample biopsies are seemingly insufficient to predict disease progression and stresses the importance of establishing multiple sampling as a routine approach in the clinic. Clinical data and tissue samples were collected on the prospective CTCR-OV03 and CTCR-OV04 clinical studies designed to identify biomarkers of heterogeneity.
2014-10-01 | E-GEOD-40546 | biostudies-arrayexpress
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 | PXD015783 | Pride
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 | PXD015849 | Pride
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
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 | PXD015781 | Pride