Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomics of 3D pentaculture models of high grade serous ovarian cancer microenvironment

ABSTRACT: High-grade serous ovarian cancer (HGSOC) is characterized by a complex, immunosuppressive tumor microenvironment (TME) that contributes to poor clinical outcomes and resistance to therapy. To better replicate the human TME in vitro, we developed a 3D pentaculture model incorporating five human cell types: malignant HGSOC cells, primary fibroblasts, mesothelial cells, adipocytes, and monocytes. Bulk RNASequeing was performed to investigate the role of malignant cells in modulating the TME .

ORGANISM(S): Homo sapiens

PROVIDER: GSE293887 | GEO | 2026/02/03

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 3D models of ovarian cancer

Project description: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.

2021-05-13 | GSE155547 | 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

Proteomic analysis of tumor tissues form high-grade serous ovarian cancer patients

Project description:In the present project, in order to explore the molecular basis of platinum resistance and further determine potential biomarkers and therapeutic targets for high-grade serous ovarian cancer (HGSOC), we conducted a comparative proteomic analysis to identify the differentially expressed proteins between tumor tissues from platinum-sensitive and platinum-resistant HGSOC patient groups.

2021-09-30 | PXD028225 |

Gene expression in High-Grade Serous Ovarian Cancer (HGSOC) cells

Project description:Gene expression in High-Grade Serous Ovarian Cancer (HGSOC) cells

2024-12-31 | GSE214904 | GEO

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

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

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

MicroRNA sequencing for platinum-resistant high-grade serous ovarian carcinoma

Project description:Ovarian cancer is one of the leading causes of death in females in the world. High-grade serous ovarian carcinoma (HGSOC) is the most common histological subtype, and the platinum-resistance is a clinical challenge, In this study, we investigated the microRNA (miRNA) profiles of platinum-resistant and platinum-sensitive HGSOC.

2025-09-03 | GSE273635 | GEO

Gene expression profiles of platinum-resistant high-grade serous ovarian carcinoma

Project description:Ovarian cancer is one of the leading causes of death in females in the world. High-grade serous ovarian carcinoma (HGSOC) is the most common histological subtype, and platinum platinum-resistance is a clinical challenge, In this study, we investigated the gene expression profiles of platinum-resistant and platinum-sensitive HGSOC.

2025-09-03 | GSE273637 | GEO

Spatial transcriptomics for platinum-resistant high-grade serous ovarian carcinoma

Project description:Ovarian cancer is one of the leading causes of death in females in the world. High-grade serous ovarian carcinoma (HGSOC) is the most common histological subtype, and the platinum-resistance is a clinical challenge. Moreover, JAK1-related inflammation may contribute to the platinum-resistance. This study investigated the spatial gene expression profiles of JAK1-high and -low expressed HGSOC.

2025-09-03 | GSE274657 | GEO

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