Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Different biological roles of embryonic- and monocyte-derived macrophages in ovarian cancer ascites ecosystem.

ABSTRACT: Different biological roles of embryonic- and monocyte-derived macrophages in ovarian cancer ascites ecosystem.

PROVIDER: PRJNA925023 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR23106980_1.fastq.gz	Fastqsanger.gz
	SRR23106980_2.fastq.gz	Fastqsanger.gz
	SRR23106981_1.fastq.gz	Fastqsanger.gz
	SRR23106981_2.fastq.gz	Fastqsanger.gz
	SRR23106982_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

Different biological roles of embryonic- and monocyte-derived macrophages in ovarian cancer ascites ecosystem.

Project description:To investigate the dichotomous ontogeny of ascites-enriched macrophages and the contribution of embryonic-derived macrophages to the ascites microenvironment and tumor progression.

2023-05-05 | GSE223121 | GEO

Ascites-derived circulating microRNAs as potential diagnostic biomarkers of gastric cancer-associated malignant ascites

Project description:Peritoneal carcinomatosis with malignant ascites is associated with dismal prognosis in gastric cancer. Malignant ascites is the most relevant body fluid in which to seek diagnostic biomarkers for peritoneal carcinomatosis. We aimed to identify and validate ascites-derived circulating microRNAs (miRNAs) that are differentially expressed between liver cirrhosis-associated benign ascites (LC-ascites) and gastric cancer-associated malignant ascites (GC-ascites). MiRNA expression levels were investigated in three independent cohorts. Overall, 165 ascites samples (73 LC-ascites and 92 GC-ascites) were obtained from the National Biobank of Korea. Initially, microarrays were used to screen the expression levels of 2,006 miRNAs in the discovery cohort (n = 22). Subsequently, quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) analyses were used to validate the expression levels of selected miRNAs in the training (n = 70) and validation (n= 73) cohorts. In addition, the levels of carcinoembryonic antigen (CEA), a commonly used tumor marker, were determined in the ascites samples. Expression levels of miR-574-3p, miR-181b-5p, miR-4481, and miR-181d were significantly lower in the GC-ascites samples than in the LC-ascites samples, and miR-181b-5p showed the best diagnostic performance for GC-ascites (area under the curve [AUC] = 0.798 and 0.846 for the training and validation cohorts, respectively). The diagnostic performance of CEA for GC-ascites was improved if CEA and miR-181b-5p were analyzed together (AUC = 0.981 and 0.946 for the training and validation cohorts, respectively). Overall, we identified ascites-derived circulating miRNAs capable of differentiating non-malignant ascites and GC-ascites, and demonstrated that the combined use of miR-181b-5p and CEA produces the optimal diagnostic yield.

2019-02-12 | GSE126399 | GEO

Expression data of ascites treated peritoneal carcinomatosis human cell lines

Project description:Characterizations of ascites proteome from ovarian PC and gastric PC have demonstrated that ascites contains elevated pro-tumorigenic factors. Reasoning that the composition of ascitic fluid might offer insight into the memory of key biological events occurring intra-abdominally, we hypothesized that paracrine factors essential for survival and growth of peritoneal deposits are secreted into and circulate within ascitic fluid. Our data from cytokine array profile suggest that ascites contains biologically active ligands capable of supporting cellular functions of cancer cells. To decipher downstream signalling pathways activated in cancer cells when exposed to ascites, we performed gene expression analysis of Colo-205 and SNU-C1 cells upon exposure to PC ascites.

2022-02-22 | GSE189004 | GEO

Cytokine profile of ascites derived from patients with peritoneal carcinomatosis

Project description:Characterizations of ascites proteome from ovarian PC and gastric PC have demonstrated that ascites contains elevated pro-tumorigenic factors. Reasoning that the composition of ascitic fluid might offer insight into the memory of key biological events occurring intra-abdominally, we hypothesized that paracrine factors essential for survival and growth of peritoneal deposits are secreted into and circulate within ascitic fluid. Our data suggest that ascites contains biologically active ligands capable of supporting cellular functions of cancer cells.

2022-02-22 | GSE189168 | GEO

Mixed-polarization phenotype of ascites-associated macrophagesin human ovarian carcinoma: correlation of CD163 expression, cytokine levels and early relapse

Project description:Ascites-associated macrophages were collected from human ovarian carcinoma patients and their expression profiles determined via Agilent microarrays. In addition, monocyte derived macrophages from healthy donors were differentiated ex-vivo with MCSF and GMCSF and their expression profiles determined as well.

2014-03-07 | E-MTAB-1661 | biostudies-arrayexpress

Expression data of peritoneal carcinomatosis human cell lines co-treated with patient derived ascites and ligand inhibitor

Project description:Characterizations of ascites proteome from ovarian peritoneal carcinomatosis (PC) and gastric PC have demonstrated that ascites contains elevated pro-tumorigenic factors. Reasoning that the composition of ascitic fluid might offer insight into the memory of key biological events occurring intra-abdominally, we hypothesized that paracrine factors essential for survival and growth of peritoneal deposits are secreted into and circulate within ascitic fluid. Our data from cytokine array profile suggest that ascites contains biologically active ligands capable of supporting cellular functions of cancer cells. To decipher downstream signalling pathways activated in cancer cells when exposed to ascites, we performed gene expression analysis of Colo-205 cells upon exposure to PC ascites and ligand inhibitor.

2022-02-22 | GSE189137 | GEO

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.

2014-10-01 | GSE51831 | GEO

Gastric cancer ascites proteome

Project description:Gastric cancer is one of the most lethal malignancies with high mortality and gastric cancer-specific biomarker is need due to the lack of specific method for early screening, diagnosis, and prognosis of the patients with gastric cancer. Ascites is known for an important source for conducing biomarker discovery because it contains the secreted proteins from malignant cells, growth factors, and cytokines. In this study, we have conducted a comprehensive proteome study using ascites of patients with inflammatory diseases and gastric cancer. In the discovery stage, we have identified 2761 ascites-specific proteins, where 234 proteins were quantitated using the label free quantitation method, the normalized spectral abundance factor (NSAF); 152 and 82 proteins showed up and down-regulated pattern, respectively. Our ascites proteome can be used as baseline data for the discovery of novel biomarkers of the gastric cancer.

2018-04-16 | PXD002213 | Pride

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