Browse
Submit Data
Databases
API
Help

Dataset Information

29 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Antivascular therapy for epithelial ovarian cancer.

ABSTRACT: Ovarian cancer is the fifth largest cancer killer in women. Improved understanding of the molecular pathways implicated in the pathogenesis of ovarian cancer has led to the investigation of novel targeted therapies. Ovarian cancer is characterized by an imbalance between pro- and antiangiogenic factors in favor of angiogenesis activation. Various antivascular strategies are currently under investigation in ovarian cancer. They can schematically be divided into antiangiogenic and vascular-disrupting therapies. This paper provides a comprehensive review of these new treatments targeting the tumor vasculature in this disease. Promising activities have been detected in phase II trials, and results of phase III clinical trials are awaited eagerly.

SUBMITTER: Duhoux FP

PROVIDER: S-EPMC2804796 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Antivascular therapy for epithelial ovarian cancer.

Duhoux Francois P FP Machiels Jean-Pascal JP

Journal of oncology 20091223

Ovarian cancer is the fifth largest cancer killer in women. Improved understanding of the molecular pathways implicated in the pathogenesis of ovarian cancer has led to the investigation of novel targeted therapies. Ovarian cancer is characterized by an imbalance between pro- and antiangiogenic factors in favor of angiogenesis activation. Various antivascular strategies are currently under investigation in ovarian cancer. They can schematically be divided into antiangiogenic and vascular-disrupt ...[more]

PMID: 20072701

Similar Datasets

Epithelial ovarian cancer: the molecular genetics of epithelial ovarian cancer.

Project description:BACKGROUND:Epithelial ovarian cancer (EOC) remains one of the leading causes of cancer-related deaths among women worldwide, despite gains in diagnostics and treatments made over the last three decades. Existing markers of ovarian cancer possess very limited clinical relevance highlighting the emerging need for identification of novel prognostic biomarkers as well as better predictive factors that might allow the stratification of patients who could benefit from a more targeted approach. PATIENTS AND METHODS:A summary of molecular genetics of EOC. RESULTS:Large-scale high-throughput genomic technologies appear to be powerful tools for investigations into the genetic abnormalities in ovarian tumors, including studies on dysregulated genes and aberrantly activated signaling pathways. Such technologies can complement well-established clinical histopathology analysis and tumor grading and will hope to result in better, more tailored treatments in the future. Genomic signatures obtained by gene expression profiling of EOC may be able to predict survival outcomes and other important clinical outcomes, such as the success of surgical treatment. Finally, genomic analyses may allow for the identification of novel predictive biomarkers for purposes of treatment planning. These data combined suggest a pathway to progress in the treatment of advanced ovarian cancer and the promise of fulfilling the objective of providing personalized medicine to women with ovarian cancer. CONCLUSIONS:The understanding of basic molecular events in the tumorigenesis and chemoresistance of EOC together with discovery of potential biomarkers may be greatly enhanced through large-scale genomic studies. In order to maximize the impact of these technologies, however, extensive validation studies are required.

| S-EPMC4852274 | biostudies-literature

Harnessing Wnt signaling as a targetable therapy in epithelial ovarian cancer.

Project description: Not available

| S-EPMC7396249 | biostudies-literature

Local estrogen metabolism in epithelial ovarian cancer suggests novel targets for therapy.

Project description:Epithelial ovarian cancer (EOC) accounts for about 90% of malignant ovarian tumors, and estrogen is often implicated in disease progression. We therefore compared the potential for gating of estrogen action via pre-receptor metabolism in normal human ovarian surface epithelium (OSE), EOC and selected EOC cell lines (SKOV3 and PEO1). Steroid sulphatase (STS), estrogen sulfotransferase (EST), 17?-hydroxysteroid dehydrogenases 2 (17BHSD2) and 5 (17BHSD5) mRNAs, proteins and enzymatic activities were all detectable in primary cell cultures of OSE and EOC, whereas aromatase and 17BHSD1 expression was negligible. qRT-PCR assay on total mRNA revealed significantly higher EST mRNA expression in OSE compared to EOC (P<0.05). Radioenzymatic measurements confirmed reduced sulfoconjugation (neutralization) of free estrogen in EOC relative to OSE. OSE cells were more effective at converting free [(3)H]-E1 to [(3)H]-E1S or [(3)H]-E2S, while EOC cell lines mainly converted [(3)H]-E1 to [(3)H]-E2 with minimal formation of [(3)H]-E1S or [(3)H]-E2S. IL1? treatment suppressed EST (P<0.01) and 17BHSD2 (P<0.001) mRNA levels in OSE and stimulated STS mRNA levels (P<0.001) in cancer (SKOV3) cells. These results show that estrogen is differentially metabolized in OSE and EOC cells, with E2 'activation' from conjugated estrogen predominating in EOC. Inflammatory cytokines may further augment the local production of E2 by stimulating STS and suppressing EST. We conclude that local estrogen metabolism may be a target for EOC treatment.

| S-EPMC4429663 | biostudies-literature

Palliative systemic therapy for women with recurrent epithelial ovarian cancer: current options.

Project description:OBJECTIVES:To review the available systemic treatments for women with recurrent ovarian cancer. METHODS:A literature review was conducted for recurrent ovarian cancer articles in English, including randomized trials, Phase II trials, or reviews. RESULTS:We discuss the efficacy and toxicity outcomes associated with systemic therapy for platinum-sensitive and platinum-resistant ovarian cancer. Clearly, platinum-based combination systemic therapy shows a prolonged progression-free interval compared with single-agent chemotherapy with a low toxicity profile. No clear superior management strategy exists for platinum-resistant/refractory disease. Novel targeted antiangiogenic agents (eg, bevacizumab), angiopoeitin inhibitors (eg, AMG 386), and poly ADP ribose polymerase inhibitors (eg, olaparib) are reviewed. CONCLUSION:Although combination platinum-based chemotherapy has shown benefits for women with platinum-sensitive recurrent ovarian cancer, the optimal treatment strategy for those with platinum-resistant or platinum-refractory disease is not clear. Molecular and genetic targeted therapies may provide opportunities for those women with tumor profiles that show sensitivity for specific agents.

| S-EPMC3585576 | biostudies-literature

Epigenetic therapy for the treatment of epithelial ovarian cancer: A clinical review.

Project description:Despite a good initial response to chemotherapy, the majority of patients with epithelial ovarian cancer will eventually recur and die of their disease. The introduction of targeted therapies to traditional chemotherapy regimens has done little to improve overall survival in women with ovarian cancer. It has become increasingly apparent that the cancer epigenome contributes significantly to the pathogenesis of ovarian cancer and may play an important role in cell proliferation, metastasis, chemoresistance, and immune tolerance. Epigenetic therapies such as DNA methyltransferase inhibitors and histone deacetylase inhibitors have the potential to reverse these epigenetic changes; however, more research is needed to determine how to incorporate these agents into clinical practice. In this review, we discuss the common epigenetic changes that occur in epithelial ovarian cancer, the current epigenetic therapies that may target these changes, and the clinical experience with epigenetic therapy for the treatment of epithelial ovarian cancer.

| S-EPMC5369329 | biostudies-literature

Cytokeratin 5-Positive Cells Represent a Therapy Resistant subpopulation in Epithelial Ovarian Cancer.

Project description:OBJECTIVE:Cytokeratin 5 (CK5) is an epithelial cell marker implicated in stem and progenitor cell activity in glandular reproductive tissues and endocrine and chemotherapy resistance in estrogen receptor (ER)(+) breast cancer. The goal of this study was to determine the prevalence of CK5 expression in ovarian cancer and the response of CK5(+) cell populations to cisplatin therapy. MATERIALS AND METHODS:Cytokeratin 5 expression was evaluated in 2 ovarian tissue microarrays, representing 137 neoplasms, and 6 ovarian cancer cell lines. Cell lines were treated with IC(50) (half-maximal inhibitory concentration) cisplatin, and the prevalence of CK5(+) cells pretreatment and posttreatment was determined. Proliferation of CK5(+) versus CK5(-) cell populations was determined using 5-bromo-2'-deoxyuridine incorporation. Chemotherapy-induced apoptosis in CK5(+) versus CK5(-) cells was measured using immunohistochemical staining for cleaved caspase-3. RESULTS:Cytokeratin 5 was expressed in 39.3% (42 of 107) of epithelial ovarian cancers with a range of 1% to 80% positive cells. Serous and endometrioid histologic subtypes had the highest percentage of CK5(+) specimens. Cytokeratin 5 expression correlated with ER positivity (38 of 42 CK5(+) tumors were also ER(+)). Cytokeratin 5 was expressed in 5 of 6 overall and 4 of 4 ER(+) epithelial ovarian cancer cell lines ranging from 2.4% to 52.7% positive cells. Cytokeratin 5(+) compared with CK5(-) cells were slower proliferating. The prevalence of CK5(+) cells increased after 48-hour cisplatin treatment in 4 of 5 cell lines tested. Cytokeratin 5(+) ovarian cancer cells compared with CK5(-) ovarian cancer cells were more resistant to cisplatin-induced apoptosis. CONCLUSIONS:Cytokeratin 5 is expressed in a significant proportion of epithelial ovarian cancers and represents a slower proliferating chemoresistant subpopulation that may warrant cotargeting in combination therapy.

| S-EPMC4635519 | biostudies-literature

Epithelial ovarian cancer experimental models.

Project description:Epithelial ovarian cancer (OvCa) is associated with high mortality and, as the majority (>75%) of women with OvCa have metastatic disease at the time of diagnosis, rates of survival have not changed appreciably over 30 years. A mechanistic understanding of OvCa initiation and progression is hindered by the complexity of genetic and/or environmental initiating events and lack of clarity regarding the cell(s) or tissue(s) of origin. Metastasis of OvCa involves direct extension or exfoliation of cells and cellular aggregates into the peritoneal cavity, survival of matrix-detached cells in a complex ascites fluid phase and subsequent adhesion to the mesothelium lining covering abdominal organs to establish secondary lesions containing host stromal and inflammatory components. Development of experimental models to recapitulate this unique mechanism of metastasis presents a remarkable scientific challenge, and many approaches used to study other solid tumors (for example, lung, colon and breast) are not transferable to OvCa research given the distinct metastasis pattern and unique tumor microenvironment (TME). This review will discuss recent progress in the development and refinement of experimental models to study OvCa. Novel cellular, three-dimensional organotypic, and ex vivo models are considered and the current in vivo models summarized. The review critically evaluates currently available genetic mouse models of OvCa, the emergence of xenopatients and the utility of the hen model to study OvCa prevention, tumorigenesis, metastasis and chemoresistance. As these new approaches more accurately recapitulate the complex TME, it is predicted that new opportunities for enhanced understanding of disease progression, metastasis and therapeutic response will emerge.

| S-EPMC3990646 | biostudies-literature

Epithelial ovarian cancer: An overview.

Project description:Ovarian cancer is the second most common gynecological cancer and the leading cause of death in the United States. In this article we review the diagnosis and current management of epithelial ovarian cancer which accounts for over 95 percent of the ovarian malignancies. We will present various theories about the potential origin of ovarian malignancies. We will discuss the genetic anomalies and syndromes that may cause ovarian cancers with emphasis on Breast cancer type 1/2 mutations. The pathology and pathogenesis of ovarian carcinoma will also be presented. Lastly, we provide a comprehensive overview of treatment strategies and staging of ovarian cancer, conclusions and future directions.

| S-EPMC4267287 | biostudies-literature

Chemokine receptors in epithelial ovarian cancer.

Project description:Ovarian carcinoma is the deadliest gynecologic malignancy with very poor rate of survival, and it is characterized by the presence of vast incurable peritoneal metastasis. Studies of the role of chemokine receptors, a family of proteins belonging to the group of G protein-coupled receptors, in ovarian carcinoma strongly placed this family of membrane receptors as major regulators of progression of this malignancy. In this review, we will discuss the roles that chemokine-receptor interactions play to support angiogenesis, cell proliferation, migration, adhesion, invasion, metastasis, and immune evasion in progression of ovarian carcinoma. Data regarding the role that the chemokine receptors play in the disease progression accumulated insofar strongly suggest that this family of proteins could be good therapeutic targets against ovarian carcinoma.

| S-EPMC3907814 | biostudies-other

Epithelial ovarian cancer biomarker

Project description:Protein biomarkers of early stages of disease are critical for managing the disease and improving outcomes. Unfortunately, discovery of protein biomarkers is hampered by the limited availability of assays for sensitive and reproducible quantification of proteins in complex biological matrices such as blood plasma. In the recent years, Selected Reaction Monitoring (SRM) has emerged as a robust mass spectrometric method, capable of overcoming this limitation. Here, we present a comprehensive SRM-based strategy for developing protein biomarkers for epithelial ovarian cancer, and illustrate the extent to which SRM platform, combined with sound experimental design and statistical analysis, results in robust detection of predictive analytes. First, the biomarker development was guided by a discovery-driven proteomic effort to detect potential N-glycoprotein biomarker candidates in tissue of a genetically stable ovarian cancer mouse model. Next, 65 candidate markers were reproducibly quantified with SRM assays across a large cohort of over 200 plasma samples from ovarian cancer patients and healthy controls. Finally, these measurements were used to derive 5-protein signatures for distinguishing individuals with epithelial ovarian cancer from healthy controls. The sensitivity of the candidate biomarker signature in combination with CA125 ELISA-based measurements currently used in clinic, exceeded that of CA125 ELISA-based measurements alone. The SRM-based strategy in this study is broadly applicable. It can be used in any study that requires accurate and reproducible quantification of selected proteins in a high-throughput and multiplexed fashion.

2019-07-02 | MSV000084048 | MassIVE

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