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1.
Oncol Rep ; 34(2): 603-9, 2015 Aug.
Article in English | MEDLINE | ID: mdl-26082331

ABSTRACT

The objective of this study was to evaluate the role of activated protein C (aPC), known to be a physiological anticoagulant, in ovarian cancer cell activation as well as in loss of clotting of cancer ascitic fluid. The effect of aPC on an ovarian cancer cell line (OVCAR-3) was tested in regards to i) cell migration and adhesion with the use of adhesion and wound healing assays as well as a droplet test; ii) protein phosphorylation, evaluated by cyto-ELISA; iii) cell cycle modification assessed by flow cytometric DNA quantification; and iv) anticoagulant activity evaluated by the prolongation of partial thromboplastin time (aPTT) of normal plasma in the presence or absence of aPC-treated ovarian cancer cells. In addition, the soluble endothelial protein C receptor (sEPCR) was quantified by ELISA in ascitic fluid of patients with ovarian cancer. Our results showed that in the OVCAR-3 aPC-induced cells i) an increase in cell migration was noted, which was inhibited when anti-endothelial protein C receptor (EPCR) was added to the culture medium and which may act via MEK-ERK and Rho-GTPase pathways; ii) an increase in threonine, and to a lesser extent tyrosine phosphorylation; iii) cell cycle activation (G1 to S/G2); and iv) a 2-3-fold prolongation of aPTT of normal plasma. In the peritoneal fluid, the sEPCR concentration was 71 ± 23 ng/ml. In conclusion, free aPC binds to membrane EPCR in ovarian cancer cells and induces cell migration via MEK-ERK and Rho-GTPase pathways. This binding could also explain the loss of clotting of peritoneal fluids.


Subject(s)
Anticoagulants/metabolism , Antigens, CD/metabolism , Ascitic Fluid/metabolism , Ovarian Neoplasms/pathology , Protein C/metabolism , Receptors, Cell Surface/metabolism , Ascitic Fluid/pathology , Cell Adhesion/drug effects , Cell Line, Tumor , Cell Movement , Endothelial Protein C Receptor , Female , Fibrin/metabolism , Humans , Ovarian Neoplasms/metabolism , Phosphorylation , Signal Transduction , Tumor Microenvironment , Up-Regulation
2.
Mol Clin Oncol ; 3(6): 1280-1284, 2015 Nov.
Article in English | MEDLINE | ID: mdl-26807233

ABSTRACT

Protein C (PC) is a natural anticoagulant, which interacts with the endothelial PC receptor (EPCR). EPCR single-nucleotide polymorphism (SNP) 6936A/G results in high levels of a free soluble form of EPCR (sEPCR) and may affect the risk of coagulation. The objective of this study was to assess whether the 6936A/G SNP of the EPCR gene is involved in the procoagulant activity displayed by hematological malignancies. EPCR 6936A/G polymorphism analysis was performed in 205 patients with hematological malignancies and in 63 healthy controls. All the subjects were genotyped for the EPCR 6936A/G SNP (AA, AG and GG genotypes). The 6936A/G polymorphism distribution was similar between healthy donors and patients. The association between EPCR 6936A/G SNP and thrombosis was investigated in 110 patients. The disease-wise break-up revealed that 55 of the patients suffered from acute myeloid leukemia (AML). In AML patients, the incidence of thrombosis was 28.3% and significantly higher in the 6936AG compared with that in the 6936AA genotype (50 vs. 22%, respectively). In conclusion, this study revealed a significant association of the 6936AG genotype of EPCR with thrombotic events in AML. Therefore, the presence of the 6936AG genotype in AML patients may be considered as a risk indicator of thrombosis.

3.
J Transl Med ; 11: 28, 2013 Jan 31.
Article in English | MEDLINE | ID: mdl-23369187

ABSTRACT

BACKGROUND: The early peritoneal invasion of epithelial ovarian cancer (EOC) by tumoral aggregates presents in ascites is a major concern. The role of the microenvironment seems to be important in this process but the lack of adequate models to study cellular interactions between cancer cells and stromal cells does not allow to uncover the molecular pathways involved. Our goal was to study the interactions between ovarian cancer cells (OCC) and mesenchymal stem cells (MSC) using a 3D model. METHODS: We used millimetric pieces of amniochorionic membrane - referred to as amniotic membrane scaffold (AMS) - to create 3D peritoneal nodules mimicking EOC early invasion. We were able to measure the distribution and the depth of infiltration using confocal microsopy. We extracted MSC from the amniochorionic membrane using the markers CD34-, CD45-, CD73+, CD90+, CD105+ and CD29+ at the Fluorescence Activated Cell Sorting (FACS) analysis. We used transwell and wound healing tests to test OCC migration and invasion in vitro. RESULTS: Here we show that OCC tumors were located in regions rich in MSC (70%). The tumors infiltrated deeper within AMS in regions rich in MSC (p<0.001). In vitro tests revealed that higher IL6 secretion in a context of MSC-OCC co-culture could enhance migration and invasion of OCC. After IL6 receptor antagonism, OCC infiltration was significantly decreased, mostly in regions rich in MSCs, indicating that recruitment and tridimensional invasion of OCC was dependent of IL6 secretion. CONCLUSIONS: The use of tridimensional models using AMS could be a useful tool to decipher early molecular events in ovarian cancer metastasis. Cytokine inhibitors interrupting the cross-talk between OCCs and MSCs such as IL6 should be investigated as a new therapeutic approach in ovarian cancer.


Subject(s)
Amnion , Chorion , Interleukin-6/metabolism , Mesenchymal Stem Cells/pathology , Models, Biological , Ovarian Neoplasms/pathology , Antigens, CD/immunology , Cell Membrane , Coculture Techniques , Female , Flow Cytometry , Humans , Immunophenotyping , Mesenchymal Stem Cells/immunology , Microscopy, Confocal , Ovarian Neoplasms/metabolism
4.
Int J Oncol ; 41(2): 433-40, 2012 Aug.
Article in English | MEDLINE | ID: mdl-22614534

ABSTRACT

Coagulation disorders often accompany cancer onset and evolution, which, if not properly managed, could have grave consequences. Endothelial protein C is an important regulator of homeostasis and acts through its high affinity binding to its transmembrane receptor (EPCR). Soluble (sEPCR) which results from the proteolytic cleavage of the membrane bound form can trap activated endothelial protein C and deprive it of its anti-coagulant function. In this study, the expression of EPCR and its soluble form (sEPCR) released into plasma as a result of proteolytic cleavage were investigated in ovarian, breast, lung and colorectal cancer biopsies, as well as in ascitic cell clusters and peritoneal fluid from ovarian cancer samples. In parallel, breast, ovarian, lung and colorectal cancer cell lines were investigated for the expression of EPCR. The integrity of the EPCR gene sequence as well gene haplotypes were ascertained in the established cancer cell lines in order to understand their eventual regulatory functions. The results from the present study indicate that in cancer patients, the levels of sEPCR are significantly higher than the normal range compared to healthy volunteers. The increase in the levels of sEPCR parallels the increase in CA125, showing a close correlation. Therefore, the detection of sEPCR in cancer and during the post-treatment period could be taken into account as an additional marker that could re-inforce the one obtained using CA125 alone as a marker of cancer cell mass.


Subject(s)
Antigens, CD/metabolism , Biomarkers, Tumor/metabolism , Ovarian Neoplasms/metabolism , Receptors, Cell Surface/metabolism , Adult , Aged , Aged, 80 and over , Amino Acid Sequence , Animals , Antibody Specificity , Antigens, CD/blood , Antigens, CD/genetics , Antigens, CD/immunology , Ascitic Fluid/pathology , Biomarkers, Tumor/blood , Biomarkers, Tumor/genetics , Biomarkers, Tumor/immunology , CA-125 Antigen/blood , Case-Control Studies , Cell Line, Tumor , DNA Mutational Analysis , Endothelial Protein C Receptor , Female , Humans , Immune Sera/chemistry , Membrane Proteins/blood , Middle Aged , Molecular Sequence Data , Rabbits , Receptors, Cell Surface/blood , Receptors, Cell Surface/genetics , Receptors, Cell Surface/immunology , Statistics, Nonparametric , Tissue Array Analysis
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