Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profile of primary ovarian tumors and matched metastasis

ABSTRACT: Ovarian cancer is the most frequent cause of cancer death in women and the leading cause of death related to gynecological cancer, accounting for 5% of estimated cancer deaths. Due to its asymptomatic nature at early stages, most ovarian cancers were diagnosed at an advanced stage, with distant metastasis in the abdominal cavity. Cancer metastasis is the primary cause of morbidity, and contributes to 95% of cancer-related deaths. Metastatic ovarian cancer is closely related with recurrence and drug resistance, rendering metastasis as the major challenge in the course of ovarian cancer treatment. Thorough understanding of ovarian cancer metastasis is believed to contribute to improve cancer cure rates, while it is still not well elucidated. One important aspect of ovarian cancer metastasis research is the identification of driver molecular. To identify proteins required for ovarian cancer metastasis, we carried out unbiased high-throughput screening by comparing the expression profile of ovarian cancer primary and metastasis tissues.

ORGANISM(S): Homo sapiens

PROVIDER: GSE222982 | GEO | 2023/01/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

In vivo-selected ID8 ovarian cancer cells display accelerated peritoneal metastasis accompanied with increased macrophage recruitment and M2 polarization

Project description:Ovarian cancer is the leading cause of gynecological cancer related death. The overall 5 year survival rate is only 29%. Over 85% of ovarian cancer patients present with advanced stage III or IV disease characterized by intraperitoneal metastasis when diagnosed. However, the process and mechanism of ovarian tumor metastasis remain poorly understood partially because of the lack of a mouse model which could recapitulate the development of metastatic lesion in an appropriate timeframe. In order to generate a convenient ovarian cancer model with accelerated peritoneal metastasis, we performed an in vivo selection study using ID8 ovarian cancer cells to establish a rapid metastasizing mouse ovarian cancer cell line, designated ID8-M. Syngeneic mice with intraperitoneal inoculation of ID8-M cells showed measurable ascites average 35 days after the inoculation and survived only an average of 52 days, while those inoculated with parental ID8 cells showed measurable ascites after 67 days and survived over 81 days. Further analysis showed that, compared with ID8 tumors, ID8-M tumors resulted in more macrophages in the ascites; and compared to ID8 cells, ID8-M cells were more potent to promote macrophages to acquire a M2 phenotype. A microarray analysis provided information to explain the accelerated metastatic phenotype of ID8-M cells.

2015-03-16 | GSE66934 | GEO

Cancer-associated fibroblasts-secreted CXCL14-regulated LINC00092 mediates ovarian cancer progression by altering glycolysis

Project description:Epithelial ovarian cancer (EOC) constitutes a major gynecological malignancy, with a reported incidence rate of 3-12/100 000 woman annually. As early symptoms of ovarian cancer are often clinically atypical or absent, the majority of ovarian cancer patients are diagnosed at a late stage, when the five-year survival rate is extremely low. This condition underscores the urgency of early detection of these patients and establishment of new therapeutic targets for successful intervention. Considering that the predominant biological characteristic that differentiates malignant from benign tumors is the ability to metastasize, it is necessary to identify novel metastasis-related molecules for ovarian cancer. In this study, we found that CAFs could significantly increase the metastatic potential of ovarian cancer cells compared with non-cancer associated fibroblasts(NAFs), which is associated with over-expression of CXCL14 in CAFs. We examined the impact of CAF-secreted CXCL14 on the lncRNA expression profiles in ovarian cancer during metastasis. We treated A2780s ovarian cancer cell line with recombinant CXCL14 protein and control respectively and subjected them to Arraystar Human LncRNA microarray v3.0 to profile differential lncRNAs in ovarian cancer upon treatment of CXCL14

2016-06-01 | E-GEOD-82059 | biostudies-arrayexpress

Targeting serous epithelial ovarian cancer with designer zinc finger transcription factors

Project description:Ovarian cancer is the leading cause of death among gynecological malignancies. It is usually detected at late stages when the disease is spread through the abdominal cavity in form of ascitic fluids. Thus, there is an urgent need to develop novel therapeutic interventions to target advanced stages of ovarian cancer, particularly metastatic disease. Mammary serine protease inhibitor (Maspin) represents an important metastasis suppressor initially identified in breast cancer. In this work we have generated a sequence-specific zinc finger artificial transcription factor (ATF) to up-regulate the Maspin promoter in aggressive ovarian cancer cell lines, to interrogate the therapeutic potential of Maspin in ovarian cancer. We found that while Maspin was expressed in some primary ovarian tumors, the promoter was epigenetically silenced in cell lines derived from ascites. Transduction of the ATF in MOVCAR 5009 cells derived from ascitic cultures of a TgMISIIR-Tag mouse model of ovarian cancer resulted in tumor cell growth, impaired cell invasion, and severe disruption of actin cytoskeleton. Systemic delivery of lipid-protamine-RNA (LPR) nanoparticles encapsulating a chemically modified ATF mRNA resulted in inhibition of ovarian cancer cell growth in nude mice, accompanied with Maspin re-expression in the treated tumors. Finally, gene expression microarrays of ATF-transduced cells revealed an exceptional potency and specificity for the Maspin promoter. These analyses revealed targets co-regulated with Maspin in human short-term cultures derived from ascitic fluids from ovarian cancer patients, such as TSPAN12, which could mediate the anti-metastatic phenotype of the ATF. Our work outlined the first targeted, non-viral delivery of designer ATFs into tumors with potential application in clinical trials for metastatic ovarian cancers. reference X sample with 6 samples

2012-09-29 | E-GEOD-36396 | biostudies-arrayexpress

Differential Proteome Analysis of Human Neuroblastoma Xenograft Primary Tumors and Matched Spontaneous Distant Metastases

Project description:Metastasis formation is the major cause for cancer-related deaths and the underlying mechanisms remain poorly understood. In this study we describe spontaneous metastasis xenograft mouse models of human neuroblastoma used for unbiased identification of metastasis-related proteins by applying an infrared laser (IR) for sampling primary tumor and metastatic tissues, followed by mass spectrometric proteome analysis. IR aerosol samples were obtained from ovarian and liver metastases, which were indicated by bioluminescence imaging (BLI), and matched subcutaneous primary tumors. Corresponding histology proved the human origin of metastatic lesions. Ovarian metastases were commonly larger than liver metastases indicating differential outgrowth capacities. Among ~1,700 proteins identified at each of the three sites, 89 proteins were differentially regulated in ovarian metastases while 290 proteins were regulated in liver metastases. There was an overlap of 26 and 10 proteins up- and down-regulated at both metastatic sites, respectively, most of which were so far not related to metastasis such as LYPLA2, ACTL8, EIF4B, LGALS7, GFAP, and ELAVL4. Moreover, we established in vitro sublines from primary tumor and metastases and demonstrate differences in cellular protrusions, migratory/invasive potential and glycosylation. Summarized, this work identified several novel putative drivers of metastasis formation that are tempting candidates for future functional studies.

2018-09-24 | PXD009744 | Pride

Cancer-associated fibroblasts-secreted CXCL14-regulated LINC00092 mediates ovarian cancer progression by altering glycolysis

2016-06-01 | GSE82059 | GEO

Discovery of salivary transcriptomic biomarkers for ovarian cancer

Project description:Ovarian cancer is the leading cause of death in gynecological diseases, and has been considered as one of the most fatal cancers due to lack of reliable detection strategy in the early stage. Therefore the capability to detect the morbidity initiation with an sensitive and effective approach is one of the most desirable goals for curing ovarian cancer. In this study, we used microarray technology for salivary mRNA biomarkers discovery, and evaluated the performance and translational utilities of discovered markers from a clinical study using an independent sample cohort . We used microarrays to profile and compare the gene expressions between ovairan cancer patient and matched controls, and identified seven down-regulated genes after the validation study. To find salivary transcriptomic biomarkers for ovarian cancer, salivary transcriptomes in 11 ovarian cancer patients and 11 matched controls were profiled using Affymetrix HG-U133-Plus-2.0 array, and followed by t-test and fold-change analyses. The biomarker candidates selected from the microarray results were subjected to clinical validation using an independent sample cohort by RT-qPCR. The prediction power of biomarkers was analyzed by logistic regression approach

2011-05-12 | E-GEOD-29220 | biostudies-arrayexpress

Discovery of salivary transcriptomic biomarkers for ovarian cancer

2011-05-12 | GSE29220 | GEO

TMTC1 promotes invasiveness of ovarian cancer

Project description:Ovarian cancer is the most lethal gynecological malignancy and is characterized by peritoneal disseminated metastasis. Although O-mannosyltransferase TMTC1 is highly expressed by ovarian cancer, its pathophysiologic role in ovarian cancer remains unclear. Here, immunohistochemistry showed that TMTC1 was overexpressed in ovarian cancer tissues compared with the adjacent non-tumor ovarian tissues and high TMTC1 expression was associated with poor prognosis in patients with ovarian cancer. Silencing TMTC1 reduced ovarian cancer cell viability, migration, and invasion in vitro as well as suppressed peritoneal tumor growth and metastasis in vivo. Moreover, TMTC1 knockdown reduced cell-laminin adhesion, which was associated with the decreased phosphorylation of FAK at pY397. Conversely, TMTC1 overexpression promoted these malignant properties in ovarian cancer cells. Glycoproteomic analysis and Concanavalin A (ConA) pull-down assays showed that integrins β1 and β4 were novel O-mannosylated protein substrates of TMTC1. Furthermore, TMTC1-mediated cell migration and invasion were significantly reversed by siRNA-mediated knockdown of integrin β1 or β4. Collectively, these results suggest that TMTC1-mediated invasive behaviors are primarily through integrins β1 and β4 and that TMTC1 is a potential therapeutic target for ovarian cancer.

2023-10-24 | PXD037907 | Pride

Neutrophil oxidative stress mediates obesity-associated vascular inflammation and metastatic transmigration (Endothelial_Cells_RNA-seq)

Project description:Obesity is linked to greater cancer incidence and mortality across multiple tumor types. In breast cancer, metastasis is the leading cause of cancer-related deaths, and epidemiological studies have shown that obesity is associated with increased breast cancer metastasis to lung and liver. Using both diet-induced and genetic preclinical models of obesity, it was previously shown that obese adipose tissue systemically induces lung neutrophilia, which is associated with enhanced breast cancer metastasis to this site. Here we performed RNAseq on neutrophils isolated on the lungs from lf vs hf mice.

2021-01-25 | GSE165441 | GEO

Neutrophil oxidative stress mediates obesity-associated vascular inflammation and metastatic transmigration (Neutrophils_RNA-seq)

2021-01-25 | GSE165442 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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