Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Subscribers
    • Advertisers
    • Editorial Board
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Anticancer Research
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Anticancer Research

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Subscribers
    • Advertisers
    • Editorial Board
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Visit us on Facebook
  • Follow us on Linkedin
Research ArticleExperimental Studies

Enoxaparin Attenuates Mouse Colon Cancer Liver Metastases by Inhibiting Heparanase and Interferon-γ-inducible Chemokines

SOUAD DJAAFAR, ISABELLE DUNAND-SAUTIER, CARMEN GONELLE-GISPERT, STEPHANIE LACOTTE, ARIANE DE AGOSTINI, MAJNO PETRO, LAURA RUBBIA-BRANDT, PHILIPPE MOREL, CHRISTIAN TOSO and GILLES MENTHA
Anticancer Research August 2016, 36 (8) 4019-4032;
SOUAD DJAAFAR
1Department of Surgery, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Souad.Djaafar@unige.ch
ISABELLE DUNAND-SAUTIER
2Division of Clinical Pathology, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
CARMEN GONELLE-GISPERT
1Department of Surgery, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
3Hepato-Pancreato-Biliary Center, Geneva University Hospitals, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
STEPHANIE LACOTTE
1Department of Surgery, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ARIANE DE AGOSTINI
2Division of Clinical Pathology, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
MAJNO PETRO
1Department of Surgery, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
3Hepato-Pancreato-Biliary Center, Geneva University Hospitals, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
LAURA RUBBIA-BRANDT
2Division of Clinical Pathology, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
PHILIPPE MOREL
1Department of Surgery, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
3Hepato-Pancreato-Biliary Center, Geneva University Hospitals, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
CHRISTIAN TOSO
1Department of Surgery, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
3Hepato-Pancreato-Biliary Center, Geneva University Hospitals, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
GILLES MENTHA
1Department of Surgery, Geneva University Hospitals, Faculty of Medicine, Geneva, Switzerland
3Hepato-Pancreato-Biliary Center, Geneva University Hospitals, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Background/Aim: Low-molecular-weight heparin (LMWH) has been suggested to reduce the risk of cancer progression in both preclinical and clinical studies but the underlying mechanisms remain poorly explored. The aim of the study was to investigate the anti-metastatic role of enoxaparin, a clinically-used LMWH, in a murine model of colon cancer and to explore its underlying mechanisms. Materials and Methods: Using a reproducible mouse model of colon carcinomas, we assessed the capacity of enoxaparin, a LMWH, to affect tumor metastasis of colon carcinoma cell lines in mice. Results: The hepatic growth of colon carcinoma metastases was strongly inhibited by enoxaparin compared to (Ctrl) group (p=0.001). This effect was associated to an inhibition of heparanase mRNA expression and protein production both in vivo and in vitro. In addition, enoxaparin inhibited the liver and serum production of interferon gamma (Ifnγ)-inducible chemokine receptor ligands. Overexpression of heparanase prompted proliferation, migration and growth of colon carcinoma in vitro and in vivo to a point that was not affected by enoxaparin in vivo anymore. Conclusion: Enoxaparin decreased liver metastases in a mouse model of colon carcinoma. These results suggest that enoxaparin may benefit patients with cancer and deserves further laboratory and clinical investigations.

  • Colorectal cancer (CRC)
  • heparanase
  • chemokines
  • LMWH
  • metastasis

Colorectal cancer (CRC) is one of the most common cancers world-wide with liver metastases present in approximately 25% of newly diagnosed patients (1). One critical step of metastasis is the ability of cancer cells to degrade the extracellular matrix (ECM) and the basement membrane (BM), including their main components, the heparan sulfate proteoglycan (HSPG) and the heparan sulfates (HS) (2, 3). HSPG consists of a protein core to which linear HS side chains are covalently linked (4). They also act as storage for a variety of HS-binding proteins, including cytokines, chemokines and HSPG-degrading enzymes (5-8).

Heparanase is the only mammalian endo-β-glycosidase that cleaves HS side chains at specific sites of the HSPG (9, 10). This enzymatic cleavage contributes to cancer cell migration, at least in part by liberating the HS-bound active proteins (11). Heparanase is up-regulated in virtually all mouse and human tumors (12, 13), is associated to an increased intra-tumoral microvessel density and has been suggested to contribute to the growth of metastases (14, 15). Moreover, a higher level of heparanase is associated with poorer patient survival (16-18).

In addition to heparanase, cytokines and chemokines play an important role in the development of metastasis (19, 20). Among them, Cxcr3 (chemokine (C-X-C motif) receptor 3) is highly expressed by many colorectal cell lines, promotes colon cancer metastasis and is associated to a poorer outcome (21-23). Cxcl9 (chemokine (C-X-C motif) ligand 9) and Cxcl10 (chemokine (C-X-C motif) ligand 10) are two Cxcr3 ligands that are expressed by a large variety of cells and function as major chemoattractants. They are associated to an improved natural killer (NK) cell survival and a better response to chemotherapy in a variety of cancer types (24, 25). Moreover, Cxcl10 can promote the invasiveness of human colorectal carcinoma cells (26). Based on these observations, we hypothesized that the inhibition of heparanase is associated with a lower level of inflammatory cytokines and chemokines, including Cxcl9 and Cxcl10.

Low-molecular-weight heparin has been widely used as anticoagulant to treat cancer-associated thromboembolisms (27). In addition to this effect, they have been observed to improve patient survival (28, 29). The mechanism behind this effect remains unclear but it may implicate the inhibition of heparanase (30).

The aim of the present study was to assess the capacity of enoxaparin, a LMWH, to affect tumor metastasis of colon carcinoma cell lines in mice. Cell lines expressing heparanase constitutively or modified to overexpress it were used. To identify the mechanism(s) implicated in the beneficial effect of heparanase on tumor growth, we investigated a possible impact of heparanase on interferon-γ-inducible chemokines, such as Cxcl9 and Cxcl10.

Materials and Methods

Mice. Wild-type C57BL/6 mice were obtained from Charles River Laboratories (Chatillon-sur-Chalaronne, France). Animals were maintained in the conventional housing facility at the Geneva University Medical School.

Tumor cells. Mouse colon carcinoma cells (MCA38) were provided by Dr. Bertrand Huard (Immunology and Pathology Department, Geneva University). Mouse melanoma cells (B16-F10 BL6) were provided by Prof. Imohf Beat (Immunology and Pathology Department, Geneva University). They were maintained in RPMI 1640 medium supplemented with 10% fetal calf serum (FCS) and glutamine (Invitrogen, Carlsbad, CA, USA).

Experimental metastasis. MCA38 and MCA38HPA cell lines were harvested after trypsinization, re-suspended in Hanks' balanced salt solution and injected intra-portally through a median laparotomy (5×105 cells/mouse). Treated mice received 200 μl of enoxaparin intravenously (200 μg/mouse) 4 h before tumor cell followed by daily injection. Control animals received the same volume of phosphate buffered saline (PBS). Such a dose of enoxaparin has been previously tested in mice and has been shown to be safe and non-hemorrhagic (30, 31). Mice were sacrificed after eight or fifteen days. Liver sections were analyzed and images were acquired using an Axioskop microscope (per magnification (10X); Zeiss, Schweiz, Switzerland). Perpendicular tumor diameters were measured and the tumor volume was determined by integration of the following formula: Σt1 + t2 + … . tn (t=a2 × b × 0.52; a=smaller tumor diameter, b=larger tumor diameter) as described previously (32).

Western blot analysis. After euthanasia, tumoral and non-tumoral liver biopsy fragments were removed from all liver lobules and mixed, because of the small size of the tumor nodules. Liver fragments were frozen immediately at −80°C. Protein extracts were prepared as described previously (33). Twenty-five μg of total liver proteins were separated by electrophoresis in a 12% sodium dodecyl sulfate polyacrylamide gel (Invitrogen, Taastrup, Denmark). The membranes were then incubated overnight at 4°C with one of the following antibodies diluted in the blocking buffer: for heparanase, rabbit polyclonal antibody: HPA1 (Santa Cruz, Biotechnology, Inc. Heidelberg, Germany) diluted 1:500; for Cyclin D1, rabbit polyclonal antibody diluted 1:500 (Santa Cruz Biotechnology, Inc.). After rinsing in TBS-Tween, the membranes were incubated for 1 h at room temperature with a horse radish peroxidase conjugated-goat anti-rabbit antibody (Hercules, CA, USA) diluted 1:6,000 in the blocking buffer. For all blots, the amount of loaded proteins was controlled by probing the same membranes with a rabbit polyclonal antibody directed against Gapdh (Santa Cruz Biotechnology, Inc) diluted 1:1,000. Densitometric quantification of each band was performed using Quantity One software (PDI, Inc. Huntington Station, NY, USA) and normalized to the expression of Gapdh in the re-probed blot.

In vitro protein expression. For cell lines, 5×105 cells were plated and serum-starved for 24h. The following day, FCS was added to the medium containing enoxaparin doses for 24 h of incubation. Adherent cells were lysed in a standard lysis buffer. Forty μg of total proteins were subjected to Western blot analysis as described above.

Flow cytometry analysis. MCA38 cells were treated for 24 h with enoxaparin or PBS, then harvested and stained with APC-Annexin-V and 7-amino-actinomycin D (7AAD) (BD Biosciences, New Jersey, USA) in binding buffer for 15 min. Cells were immediately subjected to flow cytometry analyses using a Calibur flow cytometer (BD Biosciences, New Jersey, USA). Three populations of cells were observed: viable cells (negatively stained, lower left quadrant); early apoptotic cells (annexin-V-positive and 7-AAD-negative, lower right quadrant) and cells in the late stages of apoptosis (annexin-V- and 7-AAD-positive, upper right quadrant).

Apoptosis analysis. For in vivo apoptosis analysis, cryosections from non-treated and treated murine livers were submitted to immunofluorescence for terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) (red) and nucleus (blue). Sections were fixed for 20 min with paraformaldehyde 4% and rinsed in PBS. Liver sections were permeabilized with Triton 0.5% X-100 in 0.1% sodium citrate (10 min at room temperature), rinsed in PBS and submitted to TUNEL, using the In Situ Cell Death Detection kit (Roche, Basel, Switzerland) following the manufacturer's instructions. Finally, liver sections were incubated 15 min with Hoechst at 1:1,000 at room temperature. After a last rinse in PBS, liver sections were analyzed and images were acquired using an Axioskop microscope (Zeiss). The number of TUNEL-positive cells (red) was assessed per high magnification.

Bioplex analysis. Serum inflammatory cytokines/chemokines were detected with the use of a multiplex immunoassay (20-BioPlex assay; Invitrogen-Life Technologies, Switzerland), according to the manufacturer's instructions. Each experiment was performed in duplicate. The cytokines' concentration was determined from the standard curve by analysis of mean fluorescent intensity values using a Bio-Plex array reader (Bio-Rad Laboratories, Hercules, CA, USA) with software (20-Bio-Plex Manager™ 6.0). For the in vitro experiments, cells were plated (1.5×105/well) and starved. After overnight culture, enoxaparin-containing fetal calf serum (FCS) was added for 24 h incubation. Supernatants were collected for cytokines'/chemokines' assessment.

Analysis of gene expression by real-time polymerase chain reaction (RT-PCR). Total RNA was extracted from treated and non-treated mouse livers (day 8) utilizing the Qiagen RNeasy Midi kit (Qiagen, San Diego, CA, USA), according to manufacturer's instructions. For cell lines, total RNA was extracted with the Qiagen RNeasy Micro kit. Cells were plated (5×105/well) and serum-starved for 24 h. The following day, serum was added for a subsequent 24 h incubation and total RNA was extracted from adherent cells.

For both liver and cell RNA extracts, cDNA was synthesized from 0.5 μg of total RNA using PrimeScript RT reagent Kit (Takara Bio Inc, Saint-Germain-en-Laye, France) following the supplier's instructions. For quantitative PCR, amplification of genes was performed from 2 ng cDNA and 300 nM of forward and reverse oligonucleotides using the Power SYBR Green PCR Master Mix (Applied Biosystems Inc, Carlsbad, CA, USA) and a SDS 7900 HT machine (Applied Biosystems Inc.). Specific oligonucleotides were used (Invitrogen): Hpse (forward 5’-CCGCGCTTCCTCACCTT-3’ and reverse 5’-CAAGTATGCAGGAGATAAGCCTCTAG-3’), Cyclin D1 (Ccnd1) (forward 5’-GCCCTCTGTGCCACAGATG-3’ and reverse 5’-CCACGCTCCCAGCAGCTA-3’), Cxcl9 (forward 5’-GAA CCCTAGTGATAAGGAATGCA-3’ and reverse 5’-CTGTTTGAGGTCTTTGAGGGATT-3’), Cxcl10 (forward 5’-TCTGAGTGGACTCAAGGGATC-3’ and reverse 5’-CAGTTGCAGCGA CCGTC-3’), Ifn-γ (forward 5’-ATC TGG AGG AAC TGG CAA AA-3’ and reverse 5’-TTC AAG ACT TCA AAG AGT CTG AGG TA-3’). Control genes used for normalization are rps9, Gapdh, Actin b and 36B4R. mRNA levels were represented as arbitrary units (A.U).

Lentiviral transductions. HPA cDNA was amplified by PCR from genomic DNA using the primers (forward 5’-ATGACGTTTAAACGCCACCATGTTCCTGAGGAGCAGC-3’ and reverse 5’-ATGACGTTTAAACCTAAATTCTCACACATTCTTC-3’) and cloned into the lentiviral pWPI vector, which contains a green fluorescent protein (GFP) expression cassette for assessing transduction efficiency. Transduction of MCA38 was performed as previously described and assessed on the basis of GFP expression (34).

Trans-well migration assay. The migration assay was performed and analyzed using Costar Transwell migration chambers (6.5-mm diameter inserts) with 8.0-μm pore size, as previously described (35). Cells were cultured for at least 24 h in RPMI containing 5% FCS. Cells were trypsinized and 2×104 cells in 200 μl were put in the upper compartment, while the lower chamber was supplied with 500 μl of RPMI containing 5% FCS alone or containing recombinant platelet-derived growth factor BB (PDGF-BB) (20 ng/μl) as a control and incubated at 37°C for 48 h (36). The medium was removed from the upper chamber and the remaining non-migrating cells were scraped off with a cotton swab. Cells that have migrated in the other side of the membrane were fixed with methanol and stained with Hoechst. The number of migrating cells was counted by counting blue nuclei using Metamorph software (Molecular devices (UK) Limited). Each test was performed in triplicate.

5-ethynyl-2’-deoxyuridine (EdU) incorporation assay. EdU labeling was performed with Alexa Fluor 488 using (Click-iT™ EdU cell proliferation assay, Invitrogen). Twenty thousand cells were plated on a chamber slide, cultured for at least 24 h in RPMI 5% FCS and then incubated with 10 μM EdU for 2 h. After rinsing three times with PBS containing 1% (w/v) BSA, cells were fixed and EdU incorporation into the nucleus was detected with azide conjugated with Alexa Fluor™ 488 according to the manufacturer's protocol. Cells were rinsed with PBS between incubations and mounted with ProLong Gold with 4’,6-diamidino-2-phenylindole (DAPI).

Statistical analysis. Survival was analyzed by the Kaplan–Meier method and differences between groups were tested by log-rank. Groups were compared using the Mann–Whitney or the Student's t-test. Figures report medians and quartiles. Analyses were conducted using of GraphPad PRISM version 5 software (GraphPad, San Diego, CA, USA). Statistical significance was set at p<0.05.

Results

Mouse MCA38 colorectal carcinoma cells express heparanase and are affected by enoxaparin treatment. The expression level of heparanase in the colorectal carcinoma cell line, MCA38, and in melanoma cells, B16-F10, was analyzed. MCA38 colorectal carcinomas and B16-F10 melanoma cells both expressed significant levels of heparanase (Figure 1). Enoxaparin at 200 μg/mouse, significantly inhibited the heparanase expression in MCA38 cells (1.051 (Enoxaparin) vs. 3.752 (Ctrl), p<0.02, n=4) (Figure 1a). In addition, the heparanase protein production was also decreased after enoxaparin treatment in MCA38 cells with a dose-dependent effect (0.212 (Enoxaparin)) vs. 1.013 (ctrl), p<0.03, n=4, Figure 1c). In B16-F10 cells, enoxaparin decreased the heparanase production, (1.253 (Enoxaparin) vs. 2.821 (ctrl), p<0.03, n=4, (Figure 1d), whereas no significant effect was noted at the mRNA level (Figure 1b).

Significantly, more dead MCA38 cells (Annexin V+, 7-AAD+) were detected following enoxaparin treatment (67% (Enoxaparin) vs. 45% (Ctrl), p<0.02, n=6, Figure 1e), but not in B16-F10 after treatment with enoxaparin (Figure 1f).

The enoxaparin effect was, at least in part, linked to a proliferation inhibition; the cyclin D1 expression was tested in MCA38 and B16-F10 cells. We noted a significant decrease of cyclin D1 expression in MCA38 cells (0.864 (Enoxaparin) vs. 1.547 (Ctrl)), p<0.02 n=4), Figure 1g) but not in B16-F10 after treatment with enoxaparin (Figure 1h).

Enoxaparin attenuates hepatic metastasis of MCA38 cells. To mimic the hematogenous phase of tumor cell dissemination during the metastatic process, MCA38 cells were injected into the portal vein. In the enoxaparin-treated group, all mice (n=12) survived until day eight, whereas, in the control group, 75% of mice survived (p=0.069, n=12 (Enoxaparin) vs. n=9 (Ctrl), as shown in Figure 2a. Increased survival was still observed in the enoxaparin-treated group when animals were kept until 24 days (data not shown). Liver tumor growth was attenuated after enoxaparin treatment. On day eight, tumors were detectable on histology (Figure 2c); enoxaparin significantly prevented tumor growth by 70% (284.3×103 mm3 (Ctrl) (n=9) vs. 69.14×103 mm3 in treated group (n=12), p<0.001) (Figure 2b). Insignificant differences in tumor volume were observed when mice were treated for 24 days (data not shown).

Enoxaparin affects heparanase expression, cell cycle and tumor cell viability in hepatic metastases. To test whether the observed effects were due to a heparanase inhibition, liver mRNA and proteins were extracted at day 8. Enoxaparin treatment (200 μg/ml) significantly decreased the Heparanase mRNA expression (0.474 (Enoxaparin) vs. 0.913 (Ctrl), p<0.05, n=8) (Figure 3a) and protein production (0.357 (Enoxaparin) vs. 0.714 (Ctrl), p<0.004, n=4) (Figure 3c and d). Cyclin D1 expression was analyzed to determine whether the delay and reduction of tumor development was the consequence of an alteration in the cell cycle. Indeed, enoxaparin (200 μg/ml) decreased cyclin D1 (Ccnd1) mRNA expression compared to controls (0.438 (Enoxaparin) vs. 0.723 (Ctrl), p<0.004, n=8) (Figure 3b). On Western blot, Cyclin D1 production was also decreased in enoxaparin-treated mouse livers (0.307 (Enoxaparin) vs. 2.191 (Ctrl), p<0.004, n=6) (Figure 3c (middle panel) and 3e).

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Effect of enoxaparin on cell lines expressing heparanase. (a) Enoxaparin significantly inhibits the mRNA expression of heparanase at a higher dose (200 μg/ml) vs. (Ctrl). (*p<0.02, n=4). (b) Enoxaparin treatment alters mRNA expression of heparanase in B16-F10 cells. (c, d) Cell extracts from MCA38 and B16-F10 were treated and subjected to anti-heparanase antibody. The lower panel for each blot represented the anti-Gapdh polyclonal antibodies. (c) A significant decrease of heparanase production was observed at a higher dose of enoxaparin (200 μg/ml) vs. (Ctrl). (*p<0.03, n=4). (d) Enoxaparin treatment has a significant effect on protein expression of heparanase in B16-F10 cells at higher dose (200 μg)/ml vs. (ctrl). (*p<0.03, n=4). (e, f) Treated MCA38 and B16-F10 cell lines were stained with annexin V and 7-AAD. A greater number of MCA38 cells underwent the late stages of apoptosis (cell death was quantified as annexin-V- and 7-AAD-positive cells), in enoxaparin-treated cells. No significant differences were noted in B16-F10 treated cell lines. (g) Significant decrease of cyclin D1 expression in MCA38 cells treated with a higher dose of enoxaparin (200 μg)/ml vs. (ctrl). (*p<0.02, n=4). (h) A non-significant effect was observed on B16-F10 cell line. Each bar is the median of different experiments. mRNA levels are represented as arbitrary units (A.U). All Groups were compared using the Mann–Whitney test.

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Inhibition of hepatic metastasis. (a) Survival and/or time to euthanasia in tumor-bearing mice after MCA38 cell infusion. The totality of mice that received treatment (continued line) survived longer than control (Ctrl) mice group (discontinued line) in which only 75% survived. (p=0.069, n=12 (treated) vs. n=9 (Ctrl)). (b) Daily doses of enoxaparin reduced significantly liver tumor formation in enoxaparin-treated mice compared to Ctrl group (**p<0.001, n=12 (Enoxaparin) vs. n=9 (Ctrl)). Each bar is the median of tumor volume of 12 different mice (enoxaparin) and 9 (Ctrl). (c) Representative photographs (40× magnification) were taken from HE-stained liver sections at day 8. Arrows point to intra-hepatic metastatic nodules. Groups were compared using the Mann–Whitney test.

To further characterize the influence of enoxaparin on MCA38 cells, the presence of apoptotic cells in the tissues was analyzed. Cryo-sections from non-treated and treated murine livers were submitted to immunofluorescence for TUNEL (white) and nucleus (grey). Higher number of TUNEL-positive cells were observed in enoxaparin-treated tumors compared to controls (95 vs. 43 (Ctrl), n=7) (Figure 3f); this result was consistent with the cell death analysis by FACS and confirmed the deleterious effect of enoxaparin on MCA38 cells in vitro and in vivo.

Enoxaparin affects chemokine and growth factor production in vivo. To determine whether enoxaparin has an impact on relevant growth factors, cytokine and chemokine levels, we examined sera from euthanized mice at day eight. The secretion of inflammatory cytokines, such as vascular endothelial growth factor (Vegf) (14.66 vs. 20.01 (Ctrl), p=0.6, n=7), fibroblast growth factor beta (Fgf-b) (48.93 vs. 58.84 (Ctrl), p=0.9, n=6), interleukin (Il)-12p40 (40.40 vs. 68.96 (Ctrl), p=0.09, n=9), interleukin Il-1β (5.51 vs. 8.78 (Ctrl), p=0.6, n=9), interleukin Il-2 (5.43 vs. 6.09 (Ctrl), p=0.2, n=7) and monocyte chemoattractant protein-1 (Mcp-1) (5.07 vs. 9.90 (Ctrl) (p=0.32, n= 9) were non-significantly reduced in treated mice (Figure 4a). Whereas blood levels of macrophage inflammatory protein 1 alpha (Mip1-α) (7.09 vs. 8.04 (Ctrl), p=0.2, n=9) were not affected in enoxaparin-treated mice. Strong effects of enoxaparin were observed at the level of chemokines, with significantly lower Cxcl9 and Cxcl10 levels in treated mice (44.81 vs. 107.08 (Ctrl), p<0.04, n=8, and 28.11 vs. 58.45 (Ctrl), p<0.02, n=8) (Figure 4A (h, i)). mRNA expression levels of cytokines and chemokines were subsequently analyzed from same livers. Enoxaparin decreased the mRNA expression of Ifn-γ (0.661, n=8, vs. 0.276 (Ctrl), n=8, p=0.09) (Figure 4b (a)), Cxcl9 (0.290 vs. 2.25 (Ctrl), p<0.02, n=8) and Cxcl10 (0.391 vs. 0.749 (Ctrl), p<0.03, n=9) (Figure 4b (b, c)).

Figure 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3.

Effects of enoxaparin treatment on heparanase and cyclin D1 expression in liver. (a) Enoxaparin treatment decreases significantly the mRNA expression of heparanase compared to control (Ctrl) group (*p<0.05, n=8). (b) Enoxaparin treatment decreased cyclin D1 expression compared to control group (**p<0.004, n=8). (c) Western blots analysis of liver extracts using anti-HPA antibodies (upper panel) and anti-cyclin D1 antibodies (middle panel). The anti-Gapdh polyclonal antibodies (lower panel) were used as an internal control for protein loading. Each lane represents an individual mouse. (d) Decreased expression of heparanase was detected in mouse liver treated by enoxaparin compared to control mice (**p<0.004, n=6). (e) Significant reduction of cyclin D1 production in enoxaparin-treated murine livers, compared to control mice (**p<0.004, n=6). (f) Higher number of TUNEL-positive cells in liver tumors of enoxaparin-treated mice compared to Ctrl mice. Arrows point to the TUNEL-positive cells (*p<0.03, n=7) (100× magnification). Groups were compared using the Mann–Whitney test. Each bar is the median of different animals and each reaction was repeated 3 times. mRNA levels are represented as arbitrary units (A.U).

Figure 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 4.

a. Enoxaparin affects chemokine and growth factor production in vivo. Multiplex immunoassay (20-BioPlex assay) was used to assess serum from euthanized mice in treated and control group. (A, B) Enoxaparin treatment seems to affect non-significantly the release of the angiogenic factor Vegf and Fgf-b ((p=0.6, n=7) and (p=0.9, n=6)), respectively. (C-G) In treated mice, a decreasing trend was observed in inflammatory cytokine production, such as Il-12p40 (p=0.09, n=9), Il-1β (p=0.6, n=9) and Il-2 (p=0.2, n=7). No significant differences were observed for Mip1-α (p=0.2, n=9) and Mcp-1 (p=0.32, n= 9) production. (H, I) Chemokine release (Cxcl9 and Cxcl10) was significantly decreased in mice treated with enoxaparin compared to controls (*p<0.04, n=8 and *p<0.02, n=8 respectively). Each box represents the median of serum levels of 8 mice per group and (ns) means not significant. The values (picogram per ml) were plotted with box-and-whisker graphs and the line in the middle is the median. Each analysis was repeated 3 times. Groups were compared using the Mann–Whitney test. b. Enoxaparin affects chemokines' and cytokines' mRNA in vivo. Liver mRNA extracts from mice was analyzed for the expression of Ifn-γ, Cxcl9 and Cxcl10. (A) Higher but non-significant Ifn-γ expression was observed in livers of control mice compared to treated mice. (p=0.09, n=8). (B, C) The treatment reduced significantly the expression of Cxcl9 and Cxcl10 (*p<0.02, n=8, and *p<0.03, n=9, respectively). Each bar is the median (n=8 for Cxcl10 and n=9 for Cxcl9) different animals. mRNA levels are represented as arbitrary units (A.U). Groups were compared using the Mann–Whitney test.

Figure 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 5.

Effects of enoxaparin on MCA38 cell lines. MCA38 were treated with increasing enoxaparin doses. Supernatants were collected and analyzed for Vegf, Cxcl10, MCP1, Il-12p70 and Il-1β using 20-BioPlex assays. Enoxaparin treatment decreases Vegf at a higher dose (50 μg/ml) vs. (Ctrl) (n=3, *p<0.04). (b) Enoxaparin increases the production of Cxcl10 at a higher dose (50 μg/ml) vs. (Ctrl) (n=3, *p<0.03). (c-e) Inflammatory cytokines' production was affected by enoxaparin treatment: Mcp-1 (n=3, *p<0.04), Il-12p70 (n=3,*p<0.03). Each analysis was repeated 3 times and the mean±SEM is indicated in the Results section. The values (picogram per ml) were plotted with box-and-whisker graphs and the line in the middle is the median. Groups were compared using the Student's t-test.

Cytokine and chemokine profile of MCA38 cells in response to enoxaparin treatment. To understand and characterize the direct effects of enoxaparin on murine colon carcinoma cells, the supernatant of MCA38 cells treated with increasing doses of enoxaparin was analyzed for the levels of Vegf, Mcp1, Il-12p70, using a Bioplex Assay. Supernatants from enoxaparin-treated cells versus non-treated cells showed decreased levels of Vegf (27.44±4.440 (50 μg/ml) vs. 75.38±10.00 (Ctrl), p<0.04, n=3) (Figure 5a), Mcp1 (113.6±8.875 (200 μg/ml) vs. 208.7±21.34 (Ctrl), p<0.04, n=3) (Figure 5c) and Il-12p70 (54.54±1.66 (50 μg/ml) vs. 64.04±54.1.66 (Ctrl), p<0.03, n=3) (Figure 5d). In contrast, the level of Cxcl10 was increased in supernatants from enoxaparin-treated cells (1621±200.4 (50 μg/ml) vs. 546.9±10.03 (Ctrl), p<0.03, n=3) (Figure 5b).

Study of heparanase-overexpressing MCA38HPA cell line vs. control cell lines. In an effort to further define the link between heparanase, enoxaparin treatment and metastasis, a cell line overexpressing heparanase was established (further referred to as MCA38HPA). MCA38 cells and empty vector-transfected cells (MCA38pWPI) were used as negative controls. RT-PCR revealed a 2.7-fold increase in relative expression of heparanase mRNA in MCA38HPA cells compared to MCA38, as well as MCA38pWPI cells (3.625±0.3301 (MCA38HPA) vs. 1.375±0.3706 (MCA38) and 1.384±0.2353 (MCA38pWPI) n=4, p<0.008) (Figure 6a). Western blotting analysis revealed increased heparanase protein expression in MCA38HPA cells when compared to negative controls, MCA38 and MCA38pWPI cells (1.384±0.2353 vs. 0.2625±0.09945 (MCA38) and 0.1575±0.03092 (MCA38pWPI), n=4, p<0.01) (Figure 6b). Heparanase expression in MCA38HPA was comparable to the melanoma cell line B16F16, that expresses high levels of heparanase (Figure 6b). To investigate the influence of enoxaparin on heparanase expression, MCA38HPA and MCA38 cells were treated with increasing enoxaparin doses. The results showed that a 24-h treatment with enoxaparin at 200 μg/ml decreased heparanase expression significantly in MCA38 cells (0.5700±0.05859 (Ctrl) vs. 0.1303±0.07545 (200 μg/ml) n=3, p<0.01) (Figure 6c). Significant enoxaparin effect was observed in the MCA38HPA cell line between different doses (Figure 6c). To further characterize the MCA38HPA cells overexpressing heparanase, we studied their capacity to proliferate and migrate in dose-dependent manner of enoxaparin treatment. A higher percentage of EdU uptake was measured in MCA38HPA, when compared to negative control cell line (35.25±3.473 (MCA38HPA) vs. 20.25±2.394 (MCA38), n=4, p<0.012) (Figure 6d). Higher dose of enoxaparin (200 μg/ml) treatment affected only MCA38 cell line, when compared to non-treated conditions (20.25±2.394 (Ctrl) vs. 13.00±2.198 (200 μg/ml), n=4, p<0.06) (Figure 6d), while the enoxaparin treatment did not affect neither MCA38HPA nor B16F10 proliferation (Figure 5d). The migration capacity of MCA38 cells was assessed using a transwell system and PDGF-BB, a growth factor known to induce migration. As a positive control, migration of MCA38 cells was increased by PDGF-BB compared to non-treated MCA38 cells (8933±806.1 (PDGF-BB) vs. 828.3±229.6 (MCA38), n=4) (Figure 6e). Heparanase-overexpressing MCA38HPA cells showed a significantly increased migration compared to MCA38 and MCA38pWPI cells (3900±689.2 (MCA38HPA) vs. 828.3±229.6 (MCA38), n=4, **p<005 and 434.0 ± 147.8 (MCA38pWPI), n=4, **p<0.002) (Figure 6e).

Taking into account the effect of enoxaparin on MCA38 cells in vitro, we investigated the effect of enoxaparin treatment in vivo using our mouse model. Analysis of mice livers, retrieved 15 days after injection, showed that mice injected with MCA38HPA cells developed significantly larger tumors than animals that had received MCA38 and MCA38pWPI cells (751020±102280 (MCA38HPA), n=9 vs. 268316±51635 (MCA38), n=8, **p<001 and 321008±90813 (MCA38pWPI), n=8, **p<0.007) (Figure 7a and b). However, treatment with enoxaparin of mice injected with MCA38HPA did not show reduced tumor size (790526±124238 (MCA38 HPA+Enoxaparin) vs. 751020±102280 (MCA38HPA), n=8) (Figure 7 a and b). Collectively, these results suggested that increased heparanase expression in colorectal cancer cells promote migration and tumor growth. However, an inhibitory effect of enoxaparin on tumor growth of heparanase-overexpressing MCA38HPA cells could not be observed.

Discussion

Currently, the major obstacle in treating cancer patients is linked to the progression of the disease to a metastatic stage. Heparin and LMWHs, in addition to their traditional anticoagulant properties, have shown substantial anti-metastatic activity in recent studies (36-38), especially in experimental models (30, 5). However, the molecular mechanisms and the levels of LMWH action on HS bioactive binding molecules at early stages of colorectal cancer development remain unknown. In the present work, we tested the effect of enoxaparin as a LMWH in a murine model of hepatic metastatic cancer developing after injection of MCA38 cells, a mouse colorectal carcinoma cell line. We first showed that the MCA38 cell line constitutively expresses heparanase. Furthermore, we observed that addition of enoxaparin inhibits significantly the expression of heparanase in MCA38 cells and has an apoptotic effect on MCA38 cells in vitro. In our in vivo model, enoxaparin treatment inhibited significantly the development of liver metastases and conferred survival advantage in treated mice compared to non-treated mice. We also showed that enoxaparin-treated mice exhibited a significant decrease in heparanase expression at mRNA and protein level in liver. As mentioned, heparanase expression is up-regulated in many tumors, where it significantly increases the angiogenic and the metastatic potential of tumor cells (39, 40). The inhibition of the heparanase gene expression or enzyme activity suppresses metastasis formation, thus indicating that heparanase is involved in the extravasation and invasion process of cancer (15, 41). Our results showed that inhibition of liver heparanase gene expression by enoxaparin was significant and reached 50%.

In our study, we provide evidence that heparanase expression may contribute to the facilitation of hematogenous metastasis at early stages of colorectal murine cancer. These results were consistent with previous studies that demonstrated a direct effect of heparanase on tumor cell invasion and metastasis in vivo (42). To further investigate the potential mechanisms of enoxaparin on the invasion and metastasis of MCA38 colorectal cells, we studied the change in expression of various invasion and metastasis molecules, such as the Ccnd1 and chemokines, as examined by RT-PCR, western blotting and Bioplex analysis. Cyclin D1 proto-oncogene is an important regulator of cell cycle progression. It regulates the progression of G1 to S phase in many different cell types (43). Ccnd1 (cyclin D1) is a highly up-regulated gene in many malignancies (44, 45). It has been shown that cyclin D1 overexpression is associated with tumor cell metastasis (46, 47). We demonstrated that cyclin D1 expression is decreased in mouse livers treated daily with enoxaparin and that a high enoxaparin dose (200 μg /ml) decreases its expression in vitro, in MCA38 colorectal cells. Since cyclin D1 regulates the G1 to S phase cell cycle transition, the decreased cyclin D1 expression is, probably in part, responsible for the delay and decrease in tumor cell and metastasis development in enoxaparin-treated mice. In addition, we demonstrated a deleterious effect on tumor cells in vivo in enoxaparin-treated mice and in vitro on MCA38 cell lines. The mechanisms underlying these results are still unclear and require further investigation. In vitro, enoxaparin inhibits heparanase expression at mRNA and protein levels in a dose-dependent manner. Enoxaparin seems to decrease heparanase production in MCA38 cells, in contrast to the B16-F10 cells. Furthermore, LMWH and heparin have been found to have different effects on angiogenesis in previous studies and some of them suppress Vegf production in solid tumors (48, 49, 42). In our in vivo experiments, we observed a non-significant decrease of Vegf serum levels in vivo. However, we showed in vitro that enoxaparin inhibits Vegf production in a dose-dependent manner in MCA38 cell lines. These in vitro results corroborate the in vivo findings and suggest an anti-angiogenic effect of enoxaparin in our tumor growth model.

Figure 6.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 6.

Overexpression of heparanase promoted tumor growth and migration in vitro. (a) Increased heparanase expression was observed in MCA38HPA compared to MCA38 and B16F10 cell lines (n=4, **p<0.008, MCA38HPA vs. MCA38). (b) An over-production of heparanase in MCA38HPA was assessed compared to negative control cell lines (n=4, *p<0.01, MCA38HP vs. MCA38 and MCA38pWPI). (c) Treatment with enoxaparin attenuated heparanase expression in MCA38HPA (n=3, *p<0.01, Ctrl vs. 200 μg/ml). (d) MCA38HPA cells showed increased levels of cell proliferation compared to MCA38 cells (n=4, *p<0.012, MCA38HPA vs. MCA38). (e) Increased migration of MCA38HPA compared to MCA38 and MCA38pWPI negative controls (n=4, **p<005, MCA38HPA vs. MCA38; and n=4, **p<0.002, MCA38HPA vs. MCA38pWPI). Each analysis was repeated 3 times and the mean±SEM is indicated in the Results section. Groups were compared using the Student's t-test.

Figure 7.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 7.

Study of heparanase-overexpressing MCA38HPA cell line vs. control cell lines. (a) Tumor volumes in MCA38HPA-injected mice were significantly larger than those in control groups (**p<0.001, n=9 (MCA38HPA) vs. n=8 (MCA38); **p<0.007, n=9 (MCA38HPA) vs. n=8 (MCA38pWPI). Mice receiving MCA38HPA and treated with enoxaparin did not show a decrease in tumor volume when compared to non-treated mice (n=8 (MCA38HPA+Enoxaparin) vs. n=8 (MCA38HPA)). (b) Representative photographs (40× magnification) were taken from HE-stained liver sections at day fifteen. Arrows point to the metastatic nodules inside livers. Groups were compared using the Student's t-test.

In primary and metastatic tumors, monocytes/macrophages represent a major component of infiltrating cells. A number of cytokines and chemokines ensure the recruitment of the infiltrating cells (50-52). Consistent with previous studies, we demonstrated that enoxaparin treatment, in our model, decreases significantly the production and the expression of pro-inflammatory cytokines, such as Ifnγ and Il-12p40. We suggest that the decreased levels of these inflammatory cytokines decrease recruitment of inflammatory cells to tumor tissues but also the inhibition of the recruitment of lymphocytes and macrophages by enoxaparin could cause a decreased production of interferon-γ-. Further studies are needed to explore both possibilities. The interferon-γ-inducible molecules Cxcl9 and Cxcl10 are ligands of the CXCR3 receptor, playing an important role in the recruitment of lymphocytes and macrophages into the tumor tissues (53, 24). In the present study, we observed a significantly decreased level of Cxcl9 and Cxcl10 in serum and in liver mRNA of enoxaparin-treated mice. Interferon-γ stimulates the production of Cxcl10 and Cxcl9, thus causing a continuous recruitment of lymphocytes at the tumor site (54, 53, 24, 55). In our experiment, the decreased level of such chemokines may be explained, in part, by decreased levels of interferon-γ in tumor microenvironment and, on the other hand, are probably due to lack of interferon-γ signaling. To further investigate this hypothesis, we additionally examined the effect of enoxaparin on chemokines' expression by MCA38 cells. Enoxaparin up-regulated the expression and production of Cxcl10 in vitro, while it decreased Vegf production. Such decrease can be explained by the significantly elevated levels of Cxcl10 in MCA38 supernatant. Furthermore, Cxcl10 is known as an angiostatic factor capable of inhibiting Vegf production (56, 57). This suggests that LMWHs not only decrease interferon-γ -inducible chemokines but also increase chemokine expression that attenuates tumor growth through inhibiting vascularization of tumors.

To gain further insight into the specific function of heparanase in colorectal cancer, we developed overexpression approaches to study its effects on biological function(s) in colorectal cell lines. The overexpression of heparanase clearly increases tumor cell proliferation, migration and tumor growth in vivo. Our results revealed that the overexpression of heparanase led to notable increase in cell function. This changes observed in colorectal cell lines is consistent with biological functions of heparanase itself.

Once we showed that enoxaparin affects heparanase expression in constitutively- and in up-regulated heparanase-expressing cell lines, we further examined the enoxaparin effect in vivo. Interestingly, MCA38HPA cell lines overexpressing heparanase exhibited larger tumor volumes compared to MCA38 cells in our mouse model, demonstrating that heparanase expression is correlated with tumor size. The enoxaparin treatment reduced metastatic growth from MCA38 cells moderately expressing heparanase but failed to inhibit significantly the development of tumor metastatic development when heparanase was up-regulated in MCA38 cells. We evaluated the heparanase expression in our MCAHPA38 cells to be increased by 10-fold. It is, thus, possible that, at such increased levels, enoxaparin is not able to inhibit heparanase activity sufficiently to observe an effect on tumor growth. Further, in vivo studies are required to understand why the MCA38HPA cells are resistant to enoxaparin treatment.

In summary, in our model, treatment with enoxaparin significantly attenuated colon carcinoma metastatic tumors in the mouse liver at early stages of development. We suggest that the observed effects are due to inhibition of heparanase. We additionally observed that enoxaparin regulated chemokine expression involved in inflammatory events. Understanding the mechanisms of the anti-metastatic effect of LMWH may allow developing analogs with low antithrombotic action that can be helpful to treat cancer independently of thrombotic prophylaxis.

Acknowledgements

The authors are deeply grateful to Professor Gilles Mentha, MD, who died unexpectedly on May 2014, after bringing key input into the study. He contributed greatly to the improvement and progress of hepato-biliary-pancreatic surgery and will be greatly missed by all of us.

Footnotes

  • Funding

    This work was supported by the Artères foundation. Christian Toso was supported by a Professorship from the Swiss National Science Foundation (PP00P3-139021).

  • Received May 25, 2016.
  • Revision received July 6, 2016.
  • Accepted July 8, 2016.
  • Copyright© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved

References

  1. ↵
    1. Andres A,
    2. Toso C,
    3. Adam R,
    4. Barroso E,
    5. Hubert C,
    6. Capussotti L,
    7. Gerstel E,
    8. Roth A,
    9. Majno PE,
    10. Mentha G
    : A survival analysis of the liver-first reversed management of advanced simultaneous colorectal liver metastases: a LiverMetSurvey-based study. Ann Surg 256: 772-778; discussion 778-779, 2012.
    OpenUrlPubMed
  2. ↵
    1. Zeng C,
    2. Ke ZF,
    3. Luo WR,
    4. Yao YH,
    5. Hu XR,
    6. Jie W,
    7. Yin JB,
    8. Sun SJ
    : Heparanase overexpression participates in tumor growth of cervical cancer in vitro and in vivo. Med Oncol 30: 403, 2013.
    OpenUrlPubMed
  3. ↵
    1. Miao HQ,
    2. Elkin M,
    3. Aingorn E,
    4. Ishai-Michaeli R,
    5. Stein CA,
    6. Vlodavsky I
    : Inhibition of heparanase activity and tumor metastasis by laminarin sulfate and synthetic phosphorothioate oligodeoxynucleotides. Int J Cancer 83: 424-431, 1999.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Vlodavsky I,
    2. Friedmann Y
    : Molecular properties and involvement of heparanase in cancer metastasis and angiogenesis. J Clin Invest 108: 341-347, 2001.
    OpenUrlCrossRefPubMed
  5. ↵
    1. Bendas G,
    2. Borsig L
    : Cancer cell adhesion and metastasis: selectins, integrins, and the inhibitory potential of heparins. Int J Cell Biol 2012: 676731, 2012.
    OpenUrlCrossRefPubMed
    1. Joyce JA,
    2. Freeman C,
    3. Meyer-Morse N,
    4. Parish CR,
    5. Hanahan D
    : A functional heparan sulfate mimetic implicates both heparanase and heparan sulfate in tumor angiogenesis and invasion in a mouse model of multistage cancer. Oncogene 24: 4037-4051, 2005.
    OpenUrlCrossRefPubMed
    1. Kannagi R
    : Carbohydrate-mediated cell adhesion involved in hematogenous metastasis of cancer. Glycoconj J 14: 577-584, 1997.
    OpenUrlCrossRefPubMed
  6. ↵
    1. Witz IP
    : The selectin-selectin ligand axis in tumor progression. Cancer Metastasis Rev 27: 19-30, 2008.
    OpenUrlCrossRefPubMed
  7. ↵
    1. Gohji K,
    2. Katsuoka Y,
    3. Okamoto M,
    4. Kamidono S,
    5. Kitazawa S,
    6. Toyoshima M,
    7. Dong J,
    8. Nakajima M
    : Human heparanase: roles in invasion and metastasis of cancer. Hinyokika Kiyo 46: 757-762, 2000.
    OpenUrlPubMed
  8. ↵
    1. Nakajima M,
    2. Irimura T,
    3. Di Ferrante N,
    4. Nicolson GL
    : Metastatic melanoma cell heparanase. Characterization of heparan sulfate degradation fragments produced by B16 melanoma endoglucuronidase. J Biol Chem 259: 2283-2290, 1984.
    OpenUrlAbstract/FREE Full Text
  9. ↵
    1. Wang GB,
    2. Zhou XY,
    3. Wang XQ
    : Relationship between serum heparanase and microscopic venous invasion in patients with hepatocellular carcinoma. Am J Clin Pathol 134: 242-248, 2010.
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Barash U,
    2. Cohen-Kaplan V,
    3. Dowek I,
    4. Sanderson RD,
    5. Ilan N,
    6. Vlodavsky I
    : Proteoglycans in health and disease: new concepts for heparanase function in tumor progression and metastasis. FEBS J 277: 3890-3903, 2010.
    OpenUrlCrossRefPubMed
  11. ↵
    1. Nguyen DX,
    2. Bos PD,
    3. Massague J
    : Metastasis: from dissemination to organ-specific colonization. Nat Rev Cancer 9: 274-284, 2009.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Ferro V,
    2. Hammond E,
    3. Fairweather JK
    : The development of inhibitors of heparanase, a key enzyme involved in tumour metastasis, angiogenesis and inflammation. Mini Rev Med Chem 4: 693-702, 2004.
    OpenUrlCrossRefPubMed
  13. ↵
    1. Edovitsky E,
    2. Elkin M,
    3. Zcharia E,
    4. Peretz T,
    5. Vlodavsky I
    : Heparanase gene silencing, tumor invasiveness, angiogenesis, and metastasis. J Natl Cancer Inst 96: 1219-1230, 2004.
    OpenUrlAbstract/FREE Full Text
  14. ↵
    1. Ilan N,
    2. Elkin M,
    3. Vlodavsky I
    : Regulation, function and clinical significance of heparanase in cancer metastasis and angiogenesis. Int J Biochem Cell Biol 38: 2018-2039, 2006.
    OpenUrlCrossRefPubMed
    1. Doweck I,
    2. Kaplan-Cohen V,
    3. Naroditsky I,
    4. Sabo E,
    5. Ilan N,
    6. Vlodavsky I
    : Heparanase localization and expression by head and neck cancer: correlation with tumor progression and patient survival. Neoplasia 8: 1055-1061, 2006.
    OpenUrlCrossRefPubMed
  15. ↵
    1. Gohji K,
    2. Okamoto M,
    3. Kitazawa S,
    4. Toyoshima M,
    5. Dong J,
    6. Katsuoka Y,
    7. Nakajima M
    : Heparanase protein and gene expression in bladder cancer. J Urol 166: 1286-1290, 2001.
    OpenUrlCrossRefPubMed
  16. ↵
    1. Ottaiano A,
    2. Capuozzo M,
    3. Nasti G,
    4. Maiolino P,
    5. De Angelis V,
    6. Scala S,
    7. Iaffaioli RV
    : Prediction of response to anti-EGFR antibodies in metastatic colorectal cancer: looking beyond EGFR inhibition. Front Immunol 3: 409, 2012.
    OpenUrlPubMed
  17. ↵
    1. Murphy PM
    : Chemokines and the molecular basis of cancer metastasis. N Engl J Med 345: 833-835, 2001.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Cambien B,
    2. Karimdjee BF,
    3. Richard-Fiardo P,
    4. Bziouech H,
    5. Barthel R,
    6. Millet MA,
    7. Martini V,
    8. Birnbaum D,
    9. Scoazec JY,
    10. Abello J,
    11. Al Saati T,
    12. Johnson MG,
    13. Sullivan TJ,
    14. Medina JC,
    15. Collins TL,
    16. Schmid-Alliana A,
    17. Schmid-Antomarchi H
    : Organ-specific inhibition of metastatic colon carcinoma by CXCR3 antagonism. Br J Cancer 100: 1755-1764, 2009.
    OpenUrlCrossRefPubMed
    1. Murakami T,
    2. Kawada K,
    3. Iwamoto M,
    4. Akagami M,
    5. Hida K,
    6. Nakanishi Y,
    7. Kanda K,
    8. Kawada M,
    9. Seno H,
    10. Taketo MM,
    11. Sakai Y
    : The role of CXCR3 and CXCR4 in colorectal cancer metastasis. Int J Cancer 132: 276-287, 2013.
    OpenUrlCrossRefPubMed
  19. ↵
    1. Kawada K,
    2. Hosogi H,
    3. Sonoshita M,
    4. Sakashita H,
    5. Manabe T,
    6. Shimahara Y,
    7. Sakai Y,
    8. Takabayashi A,
    9. Oshima M,
    10. Taketo MM
    : Chemokine receptor CXCR3 promotes colon cancer metastasis to lymph nodes. Oncogene 26: 4679-4688, 2007.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Wendel M,
    2. Galani IE,
    3. Suri-Payer E,
    4. Cerwenka A
    : Natural killer cell accumulation in tumors is dependent on IFN-gamma and CXCR3 ligands. Cancer Res 68: 8437-8445, 2008.
    OpenUrlAbstract/FREE Full Text
  21. ↵
    1. Cozar JM,
    2. Canton J,
    3. Tallada M,
    4. Concha A,
    5. Cabrera T,
    6. Garrido F,
    7. Ruiz-Cabello Osuna F
    : Analysis of NK cells and chemokine receptors in tumor infiltrating CD4 T lymphocytes in human renal carcinomas. Cancer Immunol Immunother 54: 858-866, 2005.
    OpenUrlCrossRefPubMed
  22. ↵
    1. Zipin-Roitman A,
    2. Meshel T,
    3. Sagi-Assif O,
    4. Shalmon B,
    5. Avivi C,
    6. Pfeffer RM,
    7. Witz IP,
    8. Ben-Baruch A
    : CXCL10 promotes invasion-related properties in human colorectal carcinoma cells. Cancer Res 67: 3396-3405, 2007.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Ma L,
    2. Qiao H,
    3. He C,
    4. Yang Q,
    5. Cheung CH,
    6. Kanwar JR,
    7. Sun X
    : Modulating the interaction of CXCR4 and CXCL12 by low-molecular-weight heparin inhibits hepatic metastasis of colon cancer. Invest New Drugs 30: 508-517, 2012.
    OpenUrlCrossRefPubMed
  24. ↵
    1. Kuderer NM,
    2. Khorana AA,
    3. Lyman GH,
    4. Francis CW
    : A meta-analysis and systematic review of the efficacy and safety of anticoagulants as cancer treatment: impact on survival and bleeding complications. Cancer 110: 1149-1161, 2007.
    OpenUrlCrossRefPubMed
  25. ↵
    1. Cosgrove RH,
    2. Zacharski LR,
    3. Racine E,
    4. Andersen JC
    : Improved cancer mortality with low-molecular-weight heparin treatment: a review of the evidence. Semin Thromb Hemost 28: 79-87, 2002.
    OpenUrlPubMed
  26. ↵
    1. Hostettler N,
    2. Naggi A,
    3. Torri G,
    4. Ishai-Michaeli R,
    5. Casu B,
    6. Vlodavsky I,
    7. Borsig L
    : P-selectin- and heparanase-dependent antimetastatic activity of non-anticoagulant heparins. FASEB J 21: 3562-3572, 2007.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    1. Mousa SA,
    2. Linhardt R,
    3. Francis JL,
    4. Amirkhosravi A
    : Anti-metastatic effect of a non-anticoagulant low-molecular-weight heparin versus the standard low-molecular-weight heparin, enoxaparin. Thromb Haemost 96: 816-821, 2006.
    OpenUrlPubMed
  28. ↵
    1. Sun X,
    2. Wu Y,
    3. Gao W,
    4. Enjyoji K,
    5. Csizmadia E,
    6. Muller CE,
    7. Murakami T,
    8. Robson SC
    : CD39/ENTPD1 expression by CD4+Foxp3+ regulatory T cells promotes hepatic metastatic tumor growth in mice. Gastroenterology 139: 1030-1040, 2010.
    OpenUrlCrossRefPubMed
  29. ↵
    1. Sgroi A,
    2. Gonelle-Gispert C,
    3. Morel P,
    4. Baertschiger RM,
    5. Niclauss N,
    6. Mentha G,
    7. Majno P,
    8. Serre-Beinier V,
    9. Buhler L
    : Interleukin-1 receptor antagonist modulates the early phase of liver regeneration after partial hepatectomy in mice. PLoS One 6: e25442, 2011.
    OpenUrlCrossRefPubMed
  30. ↵
    1. Dunand-Sauthier I,
    2. Santiago-Raber ML,
    3. Capponi L,
    4. Vejnar CE,
    5. Schaad O,
    6. Irla M,
    7. Seguin-Estevez Q,
    8. Descombes P,
    9. Zdobnov EM,
    10. Acha-Orbea H,
    11. Reith W
    : Silencing of c-Fos expression by microRNA-155 is critical for dendritic cell maturation and function. Blood 117: 4490-4500, 2011.
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Lejmi E,
    2. Perriraz N,
    3. Clement S,
    4. Morel P,
    5. Baertschiger R,
    6. Christofilopoulos P,
    7. Meier R,
    8. Bosco D,
    9. Buhler LH,
    10. Gonelle-Gispert C
    : Inflammatory Chemokines MIP-1delta and MIP-3alpha Are Involved in the Migration of Multipotent Mesenchymal Stromal Cells Induced by Hepatoma Cells. Stem Cells Dev 24: 1223-1235, 2015.
    OpenUrlPubMed
  32. ↵
    1. Smorenburg SM,
    2. Van Noorden CJ
    : The complex effects of heparins on cancer progression and metastasis in experimental studies. Pharmacol Rev 53: 93-105, 2001.
    OpenUrlAbstract/FREE Full Text
    1. Niers TM,
    2. Klerk CP,
    3. DiNisio M,
    4. Van Noorden CJ,
    5. Buller HR,
    6. Reitsma PH,
    7. Richel DJ
    : Mechanisms of heparin induced anti-cancer activity in experimental cancer models. Crit Rev Oncol Hematol 61: 195-207, 2007.
    OpenUrlCrossRefPubMed
  33. ↵
    1. Mousa SA,
    2. Petersen LJ
    : Anti-cancer properties of low-molecular-weight heparin: preclinical evidence. Thromb Haemost 102: 258-267, 2009.
    OpenUrlPubMed
  34. ↵
    1. Vlodavsky I,
    2. Goldshmidt O,
    3. Zcharia E,
    4. Atzmon R,
    5. Rangini-Guatta Z,
    6. Elkin M,
    7. Peretz T,
    8. Friedmann Y
    : Mammalian heparanase: involvement in cancer metastasis, angiogenesis and normal development. Semin Cancer Biol 12: 121-129, 2002.
    OpenUrlCrossRefPubMed
  35. ↵
    1. Sasaki M,
    2. Ito T,
    3. Kashima M,
    4. Fukui S,
    5. Izumiyama N,
    6. Watanabe A,
    7. Sano M,
    8. Fujiwara Y,
    9. Miura M
    : Erythromycin and clarithromycin modulation of growth factor-induced expression of heparanase mRNA on human lung cancer cells in vitro. Mediators Inflamm 10: 259-267, 2001.
    OpenUrlCrossRefPubMed
  36. ↵
    1. Yu CJ,
    2. Ye SJ,
    3. Feng ZH,
    4. Ou WJ,
    5. Zhou XK,
    6. Li LD,
    7. Mao YQ,
    8. Zhu W,
    9. Wei YQ
    : Effect of Fraxiparine, a type of low molecular weight heparin, on the invasion and metastasis of lung adenocarcinoma A549 cells. Oncol Lett 1: 755-760, 2010.
    OpenUrlPubMed
  37. ↵
    1. Takahashi H,
    2. Ebihara S,
    3. Okazaki T,
    4. Asada M,
    5. Sasaki H,
    6. Yamaya M
    : A comparison of the effects of unfractionated heparin, dalteparin and danaparoid on vascular endothelial growth factor-induced tumour angiogenesis and heparanase activity. Br J Pharmacol 146: 333-343, 2005.
    OpenUrlCrossRefPubMed
  38. ↵
    1. Alao JP
    : The regulation of cyclin D1 degradation: roles in cancer development and the potential for therapeutic invention. Mol Cancer 6: 24, 2007.
    OpenUrlCrossRefPubMed
  39. ↵
    1. Fu M,
    2. Wang C,
    3. Li Z,
    4. Sakamaki T,
    5. Pestell RG
    : Minireview: Cyclin D1: normal and abnormal functions. Endocrinology 145: 5439-5447, 2004.
    OpenUrlCrossRefPubMed
  40. ↵
    1. Li Z,
    2. Jiao X,
    3. Wang C,
    4. Ju X,
    5. Lu Y,
    6. Yuan L,
    7. Lisanti MP,
    8. Katiyar S,
    9. Pestell RG
    : Cyclin D1 induction of cellular migration requires p27(KIP1). Cancer Res 66: 9986-9994, 2006.
    OpenUrlAbstract/FREE Full Text
  41. ↵
    1. Drobnjak M,
    2. Osman I,
    3. Scher HI,
    4. Fazzari M,
    5. Cordon-Cardo C
    : Overexpression of cyclin D1 is associated with metastatic prostate cancer to bone. Clin Cancer Res 6: 1891-1895, 2000.
    OpenUrlAbstract/FREE Full Text
  42. ↵
    1. Jares P,
    2. Fernandez PL,
    3. Campo E,
    4. Nadal A,
    5. Bosch F,
    6. Aiza G,
    7. Nayach I,
    8. Traserra J,
    9. Cardesa A
    : PRAD-1/cyclin D1 gene amplification correlates with messenger RNA overexpression and tumor progression in human laryngeal carcinomas. Cancer Res 54: 4813-4817, 1994.
    OpenUrlAbstract/FREE Full Text
  43. ↵
    1. Norrby K
    : Heparin and angiogenesis: a low-molecular-weight fraction inhibits and a high-molecular-weight fraction stimulates angiogenesis systemically. Haemostasis 23(Suppl 1): 141-149, 1993.
    OpenUrlPubMed
  44. ↵
    1. Mukherjee D,
    2. Mahaffey KW,
    3. Moliterno DJ,
    4. Harrington RA,
    5. Yadav JS,
    6. Pieper KS,
    7. Gallup D,
    8. Dyke C,
    9. Roe MT,
    10. Berdan L,
    11. Lauer MS,
    12. Manttari M,
    13. White HD,
    14. Califf RM,
    15. Topol EJ
    : Promise of combined low-molecular-weight heparin and platelet glycoprotein IIb/IIIa inhibition: results from Platelet IIb/IIIa Antagonist for the Reduction of Acute coronary syndrome events in a Global Organization Network B (PARAGON B). Am Heart J 144: 995-1002, 2002.
    OpenUrlCrossRefPubMed
  45. ↵
    1. Murdoch C,
    2. Giannoudis A,
    3. Lewis CE
    : Mechanisms regulating the recruitment of macrophages into hypoxic areas of tumors and other ischemic tissues. Blood 104: 2224-2234, 2004.
    OpenUrlAbstract/FREE Full Text
    1. Caux C,
    2. Vanbervliet B,
    3. Massacrier C,
    4. Ait-Yahia S,
    5. Vaure C,
    6. Chemin K,
    7. Dieu-Nosjean MC,
    8. Vicari A
    : Regulation of dendritic cell recruitment by chemokines. Transplantation 73: S7-11, 2002.
    OpenUrlCrossRefPubMed
  46. ↵
    1. Balkwill F
    : Cancer and the chemokine network. Nat Rev Cancer 4: 540-550, 2004.
    OpenUrlCrossRefPubMed
  47. ↵
    1. Gorbachev AV,
    2. Kobayashi H,
    3. Kudo D,
    4. Tannenbaum CS,
    5. Finke JH,
    6. Shu S,
    7. Farber JM,
    8. Fairchild RL
    : CXC chemokine ligand 9/monokine induced by IFN-gamma production by tumor cells is critical for T cell-mediated suppression of cutaneous tumors. J Immunol 178: 2278-2286, 2007.
    OpenUrlAbstract/FREE Full Text
  48. ↵
    1. Fluhr H,
    2. Seitz T,
    3. Zygmunt M
    : Heparins modulate the IFN-gamma-induced production of chemokines in human breast cancer cells. Breast Cancer Res Treat 137: 109-118, 2013.
    OpenUrlPubMed
  49. ↵
    1. Kajitani K,
    2. Tanaka Y,
    3. Arihiro K,
    4. Kataoka T,
    5. Ohdan H
    : Mechanistic analysis of the antitumor efficacy of human natural killer cells against breast cancer cells. Breast Cancer Res Treat 134: 139-155, 2012.
    OpenUrlCrossRefPubMed
  50. ↵
    1. Sato E,
    2. Fujimoto J,
    3. Tamaya T
    : Expression of interferon-gamma-inducible protein 10 related to angiogenesis in uterine endometrial cancers. Oncology 73: 246-251, 2007.
    OpenUrlPubMed
  51. ↵
    1. Sato E,
    2. Fujimoto J,
    3. Toyoki H,
    4. Sakaguchi H,
    5. Alam SM,
    6. Jahan I,
    7. Tamaya T
    : Expression of IP-10 related to angiogenesis in uterine cervical cancers. Br J Cancer 96: 1735-1739, 2007.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

Anticancer Research: 36 (8)
Anticancer Research
Vol. 36, Issue 8
August 2016
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Anticancer Research.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Enoxaparin Attenuates Mouse Colon Cancer Liver Metastases by Inhibiting Heparanase and Interferon-γ-inducible Chemokines
(Your Name) has sent you a message from Anticancer Research
(Your Name) thought you would like to see the Anticancer Research web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
6 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Enoxaparin Attenuates Mouse Colon Cancer Liver Metastases by Inhibiting Heparanase and Interferon-γ-inducible Chemokines
SOUAD DJAAFAR, ISABELLE DUNAND-SAUTIER, CARMEN GONELLE-GISPERT, STEPHANIE LACOTTE, ARIANE DE AGOSTINI, MAJNO PETRO, LAURA RUBBIA-BRANDT, PHILIPPE MOREL, CHRISTIAN TOSO, GILLES MENTHA
Anticancer Research Aug 2016, 36 (8) 4019-4032;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Enoxaparin Attenuates Mouse Colon Cancer Liver Metastases by Inhibiting Heparanase and Interferon-γ-inducible Chemokines
SOUAD DJAAFAR, ISABELLE DUNAND-SAUTIER, CARMEN GONELLE-GISPERT, STEPHANIE LACOTTE, ARIANE DE AGOSTINI, MAJNO PETRO, LAURA RUBBIA-BRANDT, PHILIPPE MOREL, CHRISTIAN TOSO, GILLES MENTHA
Anticancer Research Aug 2016, 36 (8) 4019-4032;
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • 5-Azacytidine (5-aza) Induces p53-associated Cell Death Through Inhibition of DNA Methyltransferase Activity in Hep3B and HT-29 Cells
  • Prognostic Value of WNT1, NOTCH1, PDGFRβ, and CXCR4 in Oral Squamous Cell Carcinoma
  • Hypoxia-adapted Multiple Myeloma Stem Cells Resist γδ-T-Cell-mediated Killing by Modulating the Mevalonate Pathway
Show more Experimental Studies

Similar Articles

Keywords

  • colorectal cancer (CRC)
  • Heparanase
  • Chemokines
  • LMWH
  • Metastasis
Anticancer Research

© 2023 Anticancer Research

Powered by HighWire