Matched primary ovarian cancer, omental metastases, and non-omental metastases from 10 patients with high-grade serous ovarian carcinoma
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ABSTRACT:
PROVIDER: PRJNA551007 | ENA |
REPOSITORIES: ENA
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Project description:Matched high-grade serous ovarian carcinoma samples collected from the ovary (ov), omental metastasis (om-met), and non-omental intraperitoneal metastasis (met) from 10 patients at the time of primary debulking surgery were analyzed for RNA expression by RNA sequencing.
2020-07-02 | GSE133296 | GEO
Project description:Our data suggest that neoadjuvant chemotherapy enhances anti-cancer responses of T cells in peritoneal metastases of patients with high-grade serous ovarian cancer but does not decrease levels of immune checkpoint molecules, providing a rationale for sequential chemo-immunotherapy. tRNA was isolated from 35 omental tissue samples of HGSOC metastases either pre or post NACT treatment. RNASeq was performed on poly-A selected mRNA fragments, 100 b.p paired end, and strand specific, on average 40 million reads per sample.
2016-07-27 | E-GEOD-71340 | biostudies-arrayexpress
Project description:Advanced ovarian cancer usually spreads to the omentum. However, the omental cell-derived molecular determinants modulating its progression have not been thoroughly characterized. Transcriptome profiling was performed on microdissected omental adipose tissue obtained from patients with benign gynecologic diseases and on cancer-associated omental tissue obtained from patients with advanced-stage, high grade serous ovarian cancer.
2019-09-20 | GSE120196 | GEO
Project description:Our data suggest that neoadjuvant chemotherapy enhances anti-cancer responses of T cells in peritoneal metastases of patients with high-grade serous ovarian cancer but does not decrease levels of immune checkpoint molecules, providing a rationale for sequential chemo-immunotherapy.
2016-07-27 | GSE71340 | GEO
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:Ovarian cancer is the most lethal gynecologic cancer. High-grade serous ovarian carcinoma (HGSOC) is the most common histologic subtype, accounting for three quarters of ovarian cancer. To clarify the changes of gene expression in serous ovarian cancer, we performed lncRNA and mRNA microarrays to identify differentially expressed lncRNAs and mRNAs in High-grade and Low-grade serous ovarian carcinoma compared with Normal fallopian tube.
2020-02-12 | GSE135886 | GEO
Project description:HGSOC, the most aggressive form of OC, is characterized by insidious onset, rapid intraperitoneal spread and development of massive ascites. Peritoneal adhesion was considered as the first step of abdominal metastasis, underscoring that only tumor cells gain access to peritoneal adherence contribute to metastasis. Studies on ovarian cancer progression were mainly focused on the primary and metastatic tumor cells, while understanding of the ascitic tumor cells is limited. We hypothesized that uncovering the gene expression profiles of ascitic tumor cells from high grade serous ovarian cancer patients will allow us to understand more specifically their unique phenotype which mediates the peritoneal adhesion. In this study, gene expression profiling was completed for 15 magnetic sorted tumor cells samples from matched primary tumors, ascites and metastases of 5 high grade serous ovarian cancer patients. By comparing the expression data from ascitic tumor cells with primary and metastasis tumor cells, we identified a set of differential expressed genes in ovarian ascitic tumor cells advantageous for peritoneal adhesion and metastasis. Further study revealed that ascites microenvironment modulated the ascitic tumor cells phenotype and contributed to ovarian cancer dissemination through facilitating CAFs in formation of compact spheroids with ascitic tumor cells. We used microarrays to profile the expression of 15 matched tumor cells samples in order to identify molecular alteration between primary tumor cells, ascitic tumor cells and metastatic tumor cells in high grade serous ovarian cancer.
2017-12-19 | GSE73064 | GEO
Project description:Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted. We sought to identify differences in genomic copy number changes between co-existing borderline and invasive components of serous carcinoma. Paired co-existing borderline and invasive tumor components of ovarian serous carcinoma were sampled and profiled from tumors from 7 patients
2014-10-01 | E-GEOD-57279 | biostudies-arrayexpress
Project description:Background: Transcoelomic spread is the major route of metastasis of ovarian high-grade serous carcinoma (HGSC) with the omentum as the major metastatic site. Its unique tumor microenvironment with its large populations of adipocytes, mesothelial cells and immune cells establishes an intercellular signaling network that is instrumental for metastatic growth yet poorly understood. Methods: Based on transcriptomic analysis of tumor cells, tumor-associated immune and stroma cells we defined intercellular signaling pathways for 284 cytokines and growth factors and their cognate receptors after bioinformatic adjustment for contaminating cell types. The significance of individual components of this network was validated by analyzing clinical correlations and potentially pro-metastatic functions, including tumor cell migration, pro-inflammatory signal transduction and TAM expansion. Results: The data show an unexpected prominent role of host cells, and in particular of omental adipocytes, mesothelial cells and fibroblasts (CAF), in sustaining this signaling network. These cells, rather than tumor cells, are the major source of most cytokines and growth factors in the omental microenvironment (n=176 versus n=13). Many of these factors target tumor cells, are linked to metastasis and are associated with a short survival. Likewise, tumor stroma cells play a major role in both extracellular-matrix-triggered and lipid-mediated signaling. We have verified the functional significance of our observations for three exemplary instances. We show that the omental microenvironment (i) stimulates tumor cell migration via WNT4 which is highly expressed by CAF; (ii) induces pro-tumorigenic TAM proliferation in conjunction with high CSF1 expression by omental stroma cells and (iii) triggers pro-inflammatory signaling, at least in part via a HSP70 – NFkB pathway. Conclusions: The intercellular signaling network of omental metastases is majorly dependent on factors secreted by immune and stroma cells to provide an environment that supports ovarian HGSC progression. Clinically relevant pathways within this network represent novel options for therapeutic intervention.
2021-11-25 | PXD028248 | Pride
Project description:In this study, we performed miRNA profiles analysis of high-grade serous ovarian carcinoma compared to normal fallopian tube fimbria using microarray (Exiqon, Denmark) to evaluate their potential role in the pathogenesis of uterine leiomyoma. miRNA profiling analysis of the 10 samples including 5 high-grade serous ovarian carcinomas and 5 normal fallopian tube fimbria.
2014-11-14 | E-GEOD-61485 | biostudies-arrayexpress