Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Effect of platelets on 3D models of ovarian cancer

ABSTRACT: A 3D multicellular model (MCM) of high grade serous ovarian cancer (HGSOC) consisting of primary human adipocytes, fibroblasts, and mesothelial cells co-cultured with HGSOC cell lines was used to examine the effect of platelets on the ovarian metastasis microenvironment.

ORGANISM(S): Homo sapiens

PROVIDER: GSE155547 | GEO | 2021/05/13

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Effect of platelets on ovarian cancer cell spheroids

Project description:The effect of platelets on malignant cell growth was assessed on high-grade serous ovarian cancer cells grown in spheroids.

2021-05-13 | GSE155546 | GEO

microRNA profiling of serum microRNA from high grade serous ovarian carcinoma

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

LncRNA and mRNA expression profiles in High-grade serous ovarian cancer, Low-grade serous ovarian cancer and Normal fallopian tube

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

Integrated molecular profiling of patient-derived ovarian cancer models identifies clinically relevant signatures and tumor vulnerabilities.

Project description:Epithelial ovarian cancer (EOC) is the most lethal gynecological tumor in developed countries and is characterized by high biological and molecular heterogeneity. High-grade serous ovarian carcinoma (HGSOC) is the most frequent and intractable form of the disease, mainly due to its rapid dissemination into the abdominal cavity, a process that is tightly linked to peritoneal ascites. Despite several studies provided insights into the genetic and epigenetic alterations relevant in EOC, the precise molecular alterations involved in tumor onset and progression remain largely unknown. Here we provide an experimental framework to perform a comprehensive investigation of molecular alterations relevant in HGSOC and ovarian cancer stem cells (OCSC) biology. We relied on a well characterized experimental set derived from human HGSOC-associated ascites and consisting of primary tumor cells, OCSC-enriched spheroids and serially propagated patient-derived xenografts, in order to define genetic and transcriptional signatures associated to specific HGSOC evolutionary trajectories. Such signatures exhibited prognostic value in a large cohort of HGSOC patients and allowed to define PI3K signaling as a novel vulnerability in OCSCs. Thus, our approach proved effective for the identification of druggable targets in HGSOC ascites, which is a major player in relapse and poor prognosis.

2022-02-18 | GSE154950 | GEO

Methylomic analysis of ovarian cancers identifies tumor-specific alterations readily detectable in early precursor lesions

Project description:High-grade serous ovarian carcinoma (HGSOC) typically remains undiagnosed until advanced stages when peritoneal dissemination has already occurred. Here, we sought to identify HGSOC-specific alterations in DNA methylation and assess their potential to provide sensitive and specific detection HGSOC at its earliest stages.

2020-08-06 | GSE155760 | GEO

Evaluation of Tumor Infiltrating Lymphocytes in High-Grade Serous Ovarian Cancer

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

Transcriptomes of ex vivo grown spontaneous p53-R270H MYC murine ovarian and uterine cancers

Project description:Genetically engineered mouse models (GEMM) have fundamentally changed how ovarian cancer etiology, early detection, and treatment is understood. However, previous GEMMs of high-grade serous ovarian cancer (HGSOC) have had to utilize genetics rarely or never found in human HGSOC to yield ovarian cancer within the lifespan of a mouse. MYC, an oncogene, is amongst the most amplified genes in HGSOC, but it has not previously been utilized to drive HGSOC GEMMs. We coupled Myc and dominant negative mutant p53-R270H with a fallopian tube epithelium-specific promoter Ovgp1 to generate a new GEMM of HGSOC. Female mice developed lethal cancer at an average of 15.1 months. Histopathological examination of mice revealed HGSOC characteristics including nuclear p53 and nuclear MYC in clusters of cells within the fallopian tube epithelium and ovarian surface epithelium. Unexpectedly, nuclear p53 and MYC clustered cell expression was also identified in the uterine luminal epithelium, possibly from intraepithelial metastasis from the fallopian tube epithelium (FTE). Extracted tumor cells exhibited strong loss of heterozygosity at the p53 locus, leaving the mutant allele. Copy number alterations in these cancer cells were prevalent, disrupting a large fraction of genes. Transcriptome profiles most closely matched human HGSOC and serous endometrial cancer. Taken together, these results demonstrate the Myc and Trp53-R270H transgene was able to recapitulate many phenotypic hallmarks of HGSOC through the utilization of strictly human-mimetic genetic hallmarks of HGSOC. This new mouse model enables further exploration of ovarian cancer pathogenesis, particularly in the 50% of HGSOC which lack homology directed repair mutations. Histological and transcriptomic findings are consistent with the hypothesis that serous uterine cancer may originate from the fallopian tube epithelium.

2024-01-23 | GSE238158 | GEO

Single-cell RNA sequencing samples from high-grade serous ovarian cancer (HGSOC)

Project description:We measured gene expression in single-cell RNA sequencing samples from patients with high-grade serous ovarian cancer (HGSOC), for a study on improving HGSOC subtype definition by taking into account varying cell type proportions within tumors.

2020-10-03 | GSE158937 | GEO

Immunological modifications following chemotherapy are associated with delayed recurrence of ovarian cancer

Project description:This study was conducted to determine why some high grade serous ovarian cancer (HGSOC) patients recur earlier than others following treatment

2023-06-21 | GSE227100 | GEO

Comparative transcriptome analysis between immortalized ovarian surface epithelial (iOSE) and immortalized fallopian tube secretory epithelial (iFTE) cells

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data