Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Ascites extracellular vesicle microRNA profiles of platinum-resistant high-grade serous ovarian carcinoma

ABSTRACT: 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. HGSOC frequently spreads to the peritoneal cavity and causes carcinomatous peritonitis. Extracellular vesicles (EVs) are lipid-bilayer nanoparticles containing various bioactive molecules. Thus, EVs mediate cell-to-cell communication and contribute to cancer progression. Moreover, EVs stably exist in the body fluid, including serum and ascites. This study investigated the ascites EV miRNA profiles of platinum-resistant and platinum-sensitive HGSOC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE273636 | GEO | 2025/09/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Ascites exosomal lncRNA PLADE enhances platinum sensitivity by inducing R-loop in ovarian cancer

Project description:To investigate functional lncRNAs in ovarian cancer ascites exosomes, we performed high-throughput RNA sequencing (RNA-seq) of ascites-derived exosomes from 3 cisplatin-sensitive and 7 cisplatin-resistant HGSOC patients

2023-11-15 | GSE247337 | 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

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

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

Proteomics of Extracellular Vesicles and tissue samples from High-Grade Serous Ovarian Carcinoma

Project description:High-grade serous ovarian carcinoma (HGSOC) is a deadly subtype of ovarian cancer (OC), often diagnosed at late stages due to nonspecific symptoms and lack of effective markers for early detection. Aberrant protein N-linked glycosylation has been reported in HGSOC, holding a potential for improving the diagnosis and prognosis of affected patients. Building on our recent observation documenting that HGSOC-derived extracellular vesicles (EVs) exhibit aberrant protein expression patterns, we here explore the protein N-glycosylation displayed by EVs isolated from HGSOC cell lines and patient sera and ascites relative to those from matching controls to unveil candidate markers for HGSOC. Comparative glycoproteomics of small EVs (sEVs, <200 nm) and medium/large EVs (m/lEVs, >200 nm) isolated from HGSOC and non-cancerous cell lines revealed lower overall N-glycosylation of EV proteins and a decreased protein expression of oligosaccharyltransferase (OST) subunits from HGSOC compared to non-cancerous cell lines. Increased α2,6-sialylation was also observed in m/lEVs from HGSOC cell lines and patient ascites by lectin blotting, which correlated with increased gene expression of ST6GAL1 and decreased gene expression of ST3GAL3-4 in HGSOC compared to normal ovary tissues. Our study provides insights into the EV glycoproteome of HGSOC and the underlying changes in the glycosylation machinery in HGSOC tissues, opening new avenues for the discovery of novel markers against HGSOC.

2025-02-04 | PXD056996 | Pride

Gene expression profile of tumor cells from primary tumors, ascites and metastases of low grade serous ovarian cancer patients

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

Proteome profiles of paired ovarian cancer ascites before and after chemotherapy

Project description:Ovarian cancer is characterized by transcoelomic metastasis into the peritoneal cavity. The peritoneal malignant ascites is enriched with ovarian cancer cells and a small amount of tumor-associated immune cells which create a unique microenvironment actively contributing to progression of the disease. However, it is remain unclear how cancer cells communicate to its local environment under the influence of chemotherapy. To address this issue, we performed LC-MS/MS analyses of ovarian cancer ascites from the same patients before and after chemotherapy. We found that neoadjuvant chemotherapy causes a significant changes in the composition of ascites, and these changes are similar in samples obtained from all patients (n=10). Functional annotation of upregulated proteins with the use of KEGG and GO databases revealed that malignant ascites after chemotherapy were enriched with the cluster of spliceosomal proteins. These splicing factors were linked to induction of epithelial-to-mesenchymal transition leading to a more aggressive phenotype of cancer cells.

2024-05-29 | PXD019327 | Pride

Genome-wide analysis of mRNA expression alterations in Stage III-IV high-grade serous ovarian cancer patients exhibiting clinically defined differences in ascites volume (high volume ascites versus low volume ascites)

Project description:Microarrays were used to examine gene expression changes in the surgical resections of high-grade serous ovarian cancer patients exhibiting clinically distinct levels of ascites volume. The present studies primary aim was to determine if there is a molecular gene expression difference between the patients presenting at time of surgery when high volumes ascites cases were compared to those with low volume ascites. The secondary aim was to determine what relevance this difference, if found, has to previously discovered molecular sub-types of high grade serous ovarian cancer. Total RNA obtained from snap-frozen stage III-IV high-grade serous ovarian cancer patients presenting with low volume (<=200 cc) or high volume (>=1000 cc) ascites volume.

2014-10-01 | E-GEOD-51831 | biostudies-arrayexpress

Gene expression data of ascites from Singapore

Project description:A collection of ascites and ovarian cancer gene expression data from Singapore.

2019-03-26 | GSE94598 | GEO

2014-10-01 | GSE51831 | GEO