Single cell 5' RNA sequencing of 9 Korean ovarian cancer patients
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE192898 | GEO | 2023/01/09
REPOSITORIES: GEO
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Project description:Ovarian cancer is one of the most common gynecologic malignancies globally, which is a significant cause of morbidity and mortality, accounting for 207,252 new deaths each year. The 5-year survival rate of this cancer is reported to be 26-42% and is often diagnosed in an advanced stage. Epithelial ovarian cancer (EOC) is a heterogeneous disease that comprises various histological subtypes. Of them, high-grade serous ovarian cancer (HGSOC) is the most common cancer subtype (70-80%), which is highly aggressive and grows rapidly. Despite the initial success observed with cytoreductive surgery and platinum-based chemotherapy, over 75% of HGSOC patients experience relapse following completion of first-line therapy. The challenge of tailoring therapeutic interventions to control progressive disease is compounded by the inherent cellular heterogeneity and genomic instability characteristic of HGSOC. While platinum chemotherapy remains the cornerstone of contemporary treatment, the grim reality persists that a majority of EOC patients develop chemotherapy resistance, resulting in a five-year survival rate of less than 50%. Numerous ovarian cancer studies have underscored the prognostic significance of factors such as age at diagnosis, disease stage, grade, histology, residual disease post-surgery, and disease recurrence. The genetic predisposition towards EOC indicates that high-grade HGSC exhibits significant chromosomal instability and carries mutations in the tumor protein 53 (TP53) gene, as well as mutations in the breast cancer genes BRCA1/2. Molecular markers like BRCA1/2 mutations and homologous repair deficiency in HGSOC have been validated as predictive of response to platinum therapy and poly-ADP polymerase (PARP) inhibitors. Furthermore, recent research has shed light on the prognostic potential of immune cell populations infiltrating ovarian tumor tissue. The Cancer Genome Atlas (TCGA) and other genomic studies of HGSOC have conducted extensive genomic and transcriptomic analyses of HGSOC to delineate its genomic landscape and facilitate the development of targeted therapies for this highly lethal malignancy. Key findings from previous studies include the prevalent mutation of TP53 genes, frequent and widespread DNA copy number alterations, identification of transcriptional signatures associated with clinical outcome and molecular subtype, and diverse mechanisms of BRCA1/2 inactivation. However, most studies have focused on HGSOC of white populations, and there is limited comprehensive molecular characterization of East Asian HGSOC, including those from Korea. In this study, we aimed to discern clinical and molecular factors distinguishing 123 HGSOC patients from the Korean population through an integrated analysis of clinical features, germline variants, somatic genomic alterations, and the tumor immune microenvironment.
2024-06-01 | GSE268514 | GEO
Project description:Purpose: Adoptive T cell therapy using high affinity T cell receptors (TCRs) to target tumor antigens has potential for improving outcomes in high-grade serous ovarian cancer (HGSOC) patients. Ovarian tumors develop a hostile, multicomponent tumor microenvironment containing suppressive cells, inhibitory ligands, and soluble factors that facilitate evasion of anti-tumor immune responses. Developing and validating an immunocompetent mouse model of metastatic ovarian cancer that shares antigenic and immunosuppressive qualities of human disease would facilitate establishing effective T cell therapies. Experimental Design: We used deep transcriptome profiling and immunohistochemical analysis of human HGSOC tumors and disseminated mouse ID8VEGF tumors to compare immunologic features. We then evaluated the ability of CD8 T cells engineered to express a high-affinity TCR specific for mesothelin, an ovarian cancer antigen, to infiltrate advanced stage ID8VEGF murine ovarian tumors and control tumor growth. Human CD8 T cells engineered to target mesothelin were also evaluated for ability to kill HLA-A2+ HGSOC lines. Results: Immunohistochemistry and gene expression profiling revealed striking similarities between tumors, including processing/presentation of similar candidate target antigens, suppressive immune cell infiltration, and expression of molecules that inhibit T cell function. Engineered T cells infiltrated mouse tumors but became progressively dysfunctional and failed to persist within tumors. Treatment with repeated doses of T cells maintained functional activity, significantly prolonging survival of mice harboring late-stage disease at treatment onset. Human CD8 T cells engineered to target mesothelin were tumoricidal for three HGSOC lines. Conclusions: Treatment with engineered T cells may have clinical applicability in patients with advanced-stage HGSOC.
2019-08-22 | GSE120259 | GEO
Project description:Purpose: Adoptive T cell therapy using high affinity T cell receptors (TCRs) to target tumor antigens has potential for improving outcomes in high-grade serous ovarian cancer (HGSOC) patients. Ovarian tumors develop a hostile, multicomponent tumor microenvironment containing suppressive cells, inhibitory ligands, and soluble factors that facilitate evasion of anti-tumor immune responses. Developing and validating an immunocompetent mouse model of metastatic ovarian cancer that shares antigenic and immunosuppressive qualities of human disease would facilitate establishing effective T cell therapies. Experimental Design: We used deep transcriptome profiling and immunohistochemical analysis of human HGSOC tumors and disseminated mouse ID8VEGF tumors to compare immunologic features. We then evaluated the ability of CD8 T cells engineered to express a high-affinity TCR specific for mesothelin, an ovarian cancer antigen, to infiltrate advanced stage ID8VEGF murine ovarian tumors and control tumor growth. Human CD8 T cells engineered to target mesothelin were also evaluated for ability to kill HLA-A2+ HGSOC lines. Results: Immunohistochemistry and gene expression profiling revealed striking similarities between tumors, including processing/presentation of similar candidate target antigens, suppressive immune cell infiltration, and expression of molecules that inhibit T cell function. Engineered T cells infiltrated mouse tumors but became progressively dysfunctional and failed to persist within tumors. Treatment with repeated doses of T cells maintained functional activity, significantly prolonging survival of mice harboring late-stage disease at treatment onset. Human CD8 T cells engineered to target mesothelin were tumoricidal for three HGSOC lines. Conclusions: Treatment with engineered T cells may have clinical applicability in patients with advanced-stage HGSOC.
2019-08-22 | GSE120263 | GEO
Project description:A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resemble its tumor of origin at the molecular level, but also demonstrate functional utility in pre-clinical investigations. Here we report the integrated proteomic analysis of 26 ovarian cancer cell lines, HGSOC tumors, immortalized ovarian surface epithelial cells, and fallopian tube epithelial cells via a single-run mass spectrometric workflow. The in-depth quantitation of > 10,000 proteins results in three distinct cell line categories: epithelial (group I), clear cell (group II), and mesenchymal (group III). We identify a 67-protein cell line signature, which separates our entire proteomic dataset, as well as a confirmatory publicly available CPTAC/TCGA tumor proteome dataset, into a predominantly epithelial and mesenchymal HGSOC tumor cluster. This proteomics-based epithelial/mesenchymal stratification of cell lines and human tumors indicates a possible origin of HGSOC either from the fallopian tube or from the ovarian surface epithelium.
2017-03-30 | MSV000080814 | MassIVE
Project description:A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resemble its tumor of origin at the molecular level, but also demonstrate functional utility in pre-clinical investigations. Here we report the integrated proteomic analysis of 26 ovarian cancer cell lines, HGSOC tumors, immortalized ovarian surface epithelial cells, and fallopian tube epithelial cells via a single-run mass spectrometric workflow. The in-depth quantitation of > 10,000 proteins results in three distinct cell line categories: epithelial (group I), clear cell (group II), and mesenchymal (group III). We identify a 67-protein cell line signature, which separates our entire proteomic dataset, as well as a confirmatory publicly available CPTAC/TCGA tumor proteome dataset, into a predominantly epithelial and mesenchymal HGSOC tumor cluster. This proteomics-based epithelial/mesenchymal stratification of cell lines and human tumors indicates a possible origin of HGSOC either from the fallopian tube or from the ovarian surface epithelium.
2016-08-24 | PXD003668 | Pride
Project description:The transcriptomes of three immortalized ovarian surface epithelial cell lines (iOSE, PMID: 17266044) and primary OSE cells (Innoprot, Derio, Spain) and four immortalized fallopian tube secretory epithelial (iFTE) cell lines (PMID: 21502498, 22936217) were compared. RNA-sequencing was done from rRNA depleted total RNA (Ribo-Zero rRNA Removal Kit) to approx. 20 million 50 bp paired end reads per sample. A discriminative gene expression signature comprised of 211 genes was developed and used to classify isolated and EpCAM enriched primary ovarian cancer cells (PMID: 25991672). Impact of this signature on overall survival was assessed from several publicly available ovarian cancer gene expression data sets. Background: High grade serous ovarian cancer (HGSOC) is characterized by extensive local, i.e. peritoneal, tumor spread, manifested in two different clinical presentations, miliary (many millet sized peritoneal implants) and non-miliary (few large exophytically growing peritoneal nodes), and an overall unfavorable outcome. HGSOC is thought to arise from fallopian tube secretory epithelial cells, via so called serous tubal intraepithelial carcinomas (STICs) but an ovarian origin was never ruled out for at least some cases. Comparative transcriptome analyses of isolated tumor cells from fresh HGSOC tissues and (immortalized) ovarian surface epithelial and fallopian tube secretory epithelial cell lines revealed a close relation between putative origin and tumor spread characteristic, i.e. miliary from tubes and non-miliary from ovaries.
2016-12-15 | E-MTAB-5240 | biostudies-arrayexpress
Project description:Tumor infiltrating lymphocytes (TILs) play a significant role in the tumor microenvironment in high-grade serous ovarian cancer (HGSOC). To better understand the interactions and functions of TILs in HGSOC progression, we performed proteogenomic profiling of TILs in 65 tumors collected from 12 HGSOC patients.
2024-03-15 | PXD045710 | Pride
Project description:Differ from the aggressive nature of HGSOC (high grade serous ovarian cancer), LGSOC (low grade serous ovarian cancer) is characterized by an early age of disease onset, slow growth pattern, and poor response to chemotherapy. To understand more specifically the underlying gene profiling discrepancy that contributes to their behavior distinction, we performed parallel gene expression profiling in 9 magnetic sorted tumor cells samples from matched primary tumors, ascites and metastases of 3 LGSOC patients as in HGSOC. By comparing the expression data among primary tumor cells, ascitic tumor cells and metastasis tumor cells, we identified a set of differential expressed genes along LGSOC progression. Further study revealed that the gene phenotype perturbance along LGSOC progression was quite different from that of HGSOC patients. We used microarrays to profile the expression of 9 matched tumor cells samples in order to identify molecular alteration between primary tumor cells, ascitic tumor cells and metastatic tumor cells in low grade serous ovarian cancer.
2017-12-19 | GSE73091 | GEO
Project description:High-grade serous ovarian cancer (HGSOC) is one of the deadliest cancers for women, with a low survival rate, no early markers, a high rate of recurrence, and few therapeutic options. Forskolin, an activator of cyclic AMP signaling, has several anticancer activities, including against HGSOC, but has limited use in vivo. Its water-soluble derivative, colforsin daropate, has the same mechanism of action as forskolin and is used to treat acute heart failure. Here, we investigated the potential of colforsin daropate as a treatment for HGSOC. We found that colforsin daropate induced cell cycle arrest and apoptosis in cultured HGSOC cells and spheroids, but not in normal fallopian tube secretory cells and ovarian surface epithelial cells. Colforsin daropate also prevented HGSOC cells from invading ovarian surface cell layers in culture. In vivo, colforsin daropate reduced tumor growth, synergized with cisplatin (a standard chemotherapy in ovarian cancer care), and improved host survival in a subcutaneous xenograft model. These anti-tumor effects of colforsin daropate were mediated in part by its reduction in the abundance and transcriptional activity of the oncoprotein c-MYC, which is often increased in HGSOC. Our findings demonstrate that colforsin daropate may be a promising therapeutic that could be combined with conventional therapies to treat HGSOC.
2024-11-19 | GSE280516 | GEO
Project description:High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecologic neoplasm, with five-year survival rate below 30%. Early disease detection is of utmost importance to improve the cure rate of HGSOC. Liquid biopsies are now becoming a new paradigm to develop novel biomarkers with diagnostic and prognostic purposes. The focus of this study was to detect the levels of circulating miRNAs in tissues and sera from patients with HGSOC and to evaluate their diagnostic value. To this end, an array-based discovery platform, followed by an innovative statistical approach of data normalization, was exploited, to identify miRNA species selectively expressed in serum of patients with HGSOC. Sera from 106 high grade serous ovarian carcinoma (HGSOC) and 24 healthy controls were used for profiling serum microRNA using a modified version of a commercially available microarray, with the aim of identifying differentially expressed microRNA between tumor patients and healthy controls.
2017-01-30 | E-MTAB-4667 | biostudies-arrayexpress