Background
Three acyclic nucleoside phosphonate analogues (ANPs), i.e. tenofovir (PMPA), adefovir (PMEA) and cidofovir (CDV), are approved for the treatment of viral infections[
1,
2]. Tenofovir and adefovir are active against retroviruses and hepadnaviruses, their oral prodrug forms being approved for therapy of HIV (PMPA) and of chronic hepatitis B virus infections (PMPA and PMEA). Although CDV is formally licensed for treatment of cytomegalovirus retinitis in AIDS patients, it is often used off-label for the management of diseases caused by several DNA viruses, including adeno-, pox-, papilloma-, polyoma-, and herpesviruses others than cytomegalovirus[
3‐
6].
Besides their well-recognized antiviral properties, some ANPs have shown anticancer potency. For instance, PMEA, PMEDAP, PMEG, and prodrugs of PMEG [i.e. cPr-PMDEDAP, GS-9219 and GS-9191] showed marked cytotoxic properties
in vitro[
7‐
9]. Additionally,
in vivo antitumor activities for these compounds have been described in different animal models: GS-9219 in a pet dog model of non-Hodgkin's lymphoma[
10] and cPr-PMEDAP in a rat choriocarcinoma tumor model[
11]. A close correlation between the cytostatic activities of PME derivatives and the inhibitory effects of their active metabolites (diphosphate forms) on cellular DNA polymerases α, δ, and ϵ has been established. In these studies, PMEG-diphosphate (PMEGpp) emerged as the most potent chain-terminating inhibitor of cellular DNA polymerases[
12,
13]. The utility of PMEG as an anticancer agent is limited by poor cellular permeability and toxicity[
13,
14] and prodrugs, such as GS-9191 and GS-9219, were designed to increase the permeability and accumulation of PMEGpp in the cells[
10,
13].
Cidofovir represents also an ANP with marked antiproliferative effects but unlike PMEG, the effects of CDV-diphosphate (CDVpp) on cellular DNA polymerization are weak [inhibition constant (Ki) of CDVpp for cellular DNA polymerase-α of 51 μM
versus 0.55 μM for PMEGpp]. In addition, CDVpp is not an obligate chain terminator[
12,
13] and, in contrast to PMEG, CDV has been used to manage human papillomavirus (HPV)-induced benign and malignant hyperproliferation with minimal if any side-effects, as described in several case reports and some phase II/III clinical trials[
15‐
20]. Recently, a phase II clinical trial was conducted in Belgium to evaluate the safety and efficacy of CDV in the treatment of high grade cervical lesions (NCT01303328). Full data analysis of this Phase II clinical trial will be provided during the next months.
Cidofovir antitumor properties were also demonstrated in different animal models of tumors related to transforming viruses, including Epstein-Barr virus-associated nasopharyngeal carcinoma[
21] and HPV-induced cervical carcinoma[
22‐
24] xenografts in athymic-nude mice, polyomavirus-induced hemangiomas in rats[
25] and hemangiosarcoma development in mice[
26]. Also, CDV proved effective against cottontail rabbit papillomavirus in the domestic rabbit model[
27].
We have recently shown that besides inhibition of tumor growth, intratumoral CDV administration had a beneficial effect on the pathology associated with the growth of cervical carcinoma cells in athymic nude mice as demonstrated by a favorable effect on body weight gain, reduced splenomegaly and lower inflammatory state in animals that received the compound
versus the placebo-treated group[
24]. Furthermore, a whole genome gene expression profiling performed on CDV-treated malignant cells and normal keratinocytes allowed us to identify unique signatures in tumor cells compared to normal keratinocytes pointing to a selective drug effect[
28]. Among the functions that were distinctly regulated by CDV in malignant and normal cells, the acute phase response was found exclusively activated in transformed cells but not in normal keratinocytes. In addition, cell cycle regulation and DNA repair by homologous recombination was only activated in normal cells[
28].
There are several mechanisms by which cancer cells develop drug-resistance and this is often a multi-factorial process. Understanding the mechanisms leading to development of drug-resistance is crucial for the implementation of therapeutic strategies, for providing insights into the effects of anticancer drugs on specific cellular functions, and also for predicting how acquisition of drug-resistance impacts tumorigenicity and pathogenicity. Therefore, we established, from the cervical carcinoma cell line SiHa (HPV16+), a CDV-resistant cell subline (denoted SiHa
CDV
) by stepwise dose escalation of CDV. We investigated the in vitro and in vivo phenotyping and growth rate of SiHa
CDV
compared to parental cells (SiHa
parental
). Also, we evaluated the differential gene expression profiles between SiHa
parental
and SiHa
CDV
by microarray analysis in order to identify genes changing expression upon selection of cells for CDV-resistance. In the present study, we focused on the analysis of functions and pathways involved in the inflammatory response that changed in SiHa cells following acquisition of CDV-resistance. Importantly, we also examined whether SiHa cells that acquired resistance to CDV were impaired in pathogenicity in the xenograft model.
Discussion
In the present study, we showed that SiHa cells that acquired CDV-resistance proved to be refractory to CDV-antiproliferative effects and to CDV-induced apoptosis in vitro. These HPV-16 positive cervical carcinoma cells demonstrated a high barrier for the development of resistance to CDV as selection required prolonged exposure to CDV (approximately 45 passages during a 2-years time).
Genome wide gene expression analysis has been previously used to identify gene expression signatures associated with resistance to chemotherapeutic agents[
30‐
32]. Here, we compared microarray gene expression values of SiHa
CDV
with SiHa
parental
and bioinformatics analysis revealed the implication of a variety of biological functions and pathways (linked to cell death, cell growth and proliferation, cellular movement, metabolism, cell and tissue development as well as inflammatory response) changing following acquisition of resistance to CDV. Thus, it appears that acquisition of CDV-resistance is a multifactorial process, which is in agreement with findings on development of resistance to several chemotherapeutics[
33].
By examining the identities of the genes in the ‘inflammatory response’ exhibiting changes in expression upon acquisition of CDV-resistance, it can be assumed that the identified genes may not be the ‘drivers’ of drug-resistance, but they changed expression as a consequence of altered expression of the ‘driver’ genes. Candidate genes that should be further explored include c-Fos, c-Jun, PI3K and MAPK since they were changing expression upon acquisition of CDV-resistance and were involved in most of the inflammatory response pathways. Further investigations to elucidate the genes that drive acquisition of CDV-resistance are currently ongoing.
The changes in inflammatory response observed in cells that acquire CDV-resistance are expected to be a consequence of the development of CDV-resistance rather than the cause of the resistant phenotype in vitro. While not causing the resistant phenotype per se, the alterations in inflammatory response are expected to affect the tumor microenvironment in vivo and to contribute to the observed reduction in pathogenicity and tumorigenicity. Therefore, it was interesting to investigate how acquisition of CDV-resistance in SiHa cells affected the inflammatory response induced by these cells in an athymic nude mice xenograft model.
In the in vitro setting, SiHa
CDV
proved clearly resistant to CDV but this must occur via a mechanism that does not directly involve cells of the immune system or the tumor microenvironment. In contrast, in vivo, the decreased inflammatory response observed with SiHa
CDV
compared to SiHa
parental
affected the tumor microenvironment and contributed to a reduced pathogenicity of the xenografts as SiHa
CDV
provoked less inflammation in the xenograft model (evidenced by a reduced production of mice- and human-derived cytokines, diminished effect on chemical and hematological blood parameters, lower number of immune cells in the spleen, and lesser splenomegaly compared to parental cells).
In contrast to SiHa
CDV
, SiHa
parental
generated a pronounced stimulation of immune cells (mostly neutrophils) when evaluated in comparison to healthy animals. One could argue that the reduced induction of neutrophils, macrophages, B-cells and NK-cells by SiHa
CDV
could be the consequence of reduced growth rate observed for the SiHa
CDV
not only
in vitro but also
in vivo. Yet, SiHa
parental
tumor size at week 3 was equivalent to that of SiHa
CDV
at week 5 (tumor size of, respectively, 351.6 ± 259.8 mm
3 and 342.0 ± 182.3 mm
3) while the amount of neutrophils, macrophages and NK-cells was considerable higher in mice with SiHa
parental
xenografts than in those with SiHa
CDV
tumors at these time points. Similarly, when putting side by side the SiHa
parental
and SiHa
CDV
groups at the moment that they have an equivalent tumor size (week 3 and week 5, respectively), IL-1β was detected in higher amounts in the SiHa
parental
cohort. IL-1β plays a key role in the regulation of neutrophil recruitment through up-regulation of endothelial adhesion molecule expression on endothelium and through induction of local chemokine production (including IL-8) production[
34], and indeed lower IL-1β levels correlated with lower numbers of neutrophils in the SiHa
CDV
cohort.
Neutrophils and macrophages have a major role in defense mechanisms and protect the host from injury and infections. However, they were shown to infiltrate most solid cancers and tumor-associated macrophages (TAMs) and tumor-associated neutrophils (TANs) were shown to be involved in stimulation of tumor growth, their densities being linked to poor outcomes and shorter survival in several cancer types[
35,
36]. A recent study showed that elevated white blood cells and neutrophil counts at the time of recurrence diagnosis correlated with shorter survival in patients with recurrent cervical cancer[
37]. In other cancers, such as colon cancer, small cell lung carcinoma, and melanoma, an elevated neutrophil-to-lymphocyte ratio also predicted a significantly higher risk of death[
38‐
40].
Recently, a role for the spleen as a site for storage and rapid deployment of monocytes to inflammatory sites has been unraveled, identifying splenic monocytes as a resource that the body uses to regulate inflammation[
41]. Cortez-Retamoza and colleagues[
42] demonstrated the function of the spleen as a reservoir of monocytes using a mouse model of lung adenocarcinoma. High numbers of TAMs and TANs relocated from the spleen to the tumor stroma. Furthermore, removal of the spleen (either before or after tumor initiation) reduced TAMs and TANs responses markedly and delayed tumor growth[
42]. Local accumulation of granulocytes and macrophage progenitors in the splenic red pulp was linked to the reservoir capacity of the spleen during tumor progression. Our data showing an infiltration of polymorphonuclear leukocytes in the extended red pulp in the SiHa
parental
xenograft cohort (but not in the SiHa
CDV
one) suggest that the spleen might also play an important role as reservoir of monocytes. Moreover, a pronounced increase in the number of WBC was detected in the SiHa
parental
but not in the SiHa
CDV
group. Our microarray data also indicated that acquisition of CDV-resistance was associated with reduction of ‘inflammatory response’, ‘activation of granulocytes’, inflammation of organ’ and ‘activation of neutrophils’ (Additional file
2), which can explain the diminished stimulation of the production of neutrophils and macrophages by the host. Decreased expression of genes whose products are responsible for activation of neutrophils and/or granulocytes (such as complement components, endothelin 1, IL-15, integrin β2, monocyte chemoattractant protein 1, macrophage inflammatory protein 4α, protein kinase C inhibitor 2, GTP-binding protein Ram, and monocyte differentiation antigen CD14) point to a decreased capacity of SiHa
CDV
cells to activate and attract neutrophils and macrophages at the tumor site compared to SiHa
parental
.
Overall, our data showed that SiHa
CDV
elicited a reduced inflammatory response in the xenograft model when evaluated in comparison with SiHa
parental
. Inflammation is present in almost all cancer tissues and the inflammatory state is necessary in tumor tissue remodeling, angiogenesis and metastasis[
43‐
45]. Altered expression of cytokines and growth factors is crucial in the malignant transformation of many cancers. Inflammation, actually ‘smoldering’ inflammation, is now considered as one of the hallmarks of cancer[
43,
46]. Recent studies pointed out the importance of cytokine profiles in patients with cervical intraepithelial and invasive neoplasia, suggesting that tumor progression is dependent on suppression of cellular immunity[
47,
48]. Hence, decreased levels of Th1 cytokines were reported in high-grade lesions, consistent with the role of Th1 cytokines as potent activators of cell-mediated immunity[
48‐
50]. Scott and colleagues also demonstrated that persistence of an HPV infection is linked to a failure to express Th1 cytokines[
51]. Chronic Th2 type inflammation is commonly seen during persistent infection with high-risk HPV types promoting tumor progression[
52]. Furthermore, high-risk HPV types are able to initiate a local Th2 inflammation at an early stage, creating an immunosuppressive microenvironment that contributes to tumor progression[
47].
We have previously shown that the production of a number of cytokines by SiHa
parental
, including the pro-inflammatory cytokines IL-6, IL-8, TNF-α and IFN-γ, is decreased following CDV therapy in the xenograft model in
nu/nu mice[
24]. Here, we demonstrated that SiHa
CDV
produced significant lower levels of these pro-inflammatory cytokines in mice. These findings were supported by bioinformatics analysis of microarray gene expression profiling that showed alteration of interleukin (IL-1, IL-6, IL-8, IL-9, IL-10) and interferon signaling pathways.
Acquisition of CDV-resistance resulted in inhibition of the IL-6, IL-9, and IL-10 signaling pathways as inferred by a decreased expression of STAT3, SOCS2 and SOCS3. The STAT3 protein is activated through phosphorylation in response to various cytokines and growth factors including IFNs, EGF, IL-5, and IL-6, mediating the expression of a variety of genes in response to cell stimuli, and thus playing a key role in many cellular processes[
53,
54]. SOCS family members are cytokine-inducible negative regulators of cytokine receptor signaling via the Janus kinase/signal transducer and activation of transcription pathway (the JAK/STAT pathway)[
55]. Transcripts encoding SOCS are upregulated in response to cytokine stimulation, and the corresponding SOCS proteins inhibit cytokine-induced signaling pathways. Therefore, SOCS proteins form part of a classical negative feedback circuit[
56,
57]. Expression of SOCS2 can be induced by a subset of cytokines such as GM-CSF, IL-10 and IFN-γ while that of SOCS3 by IL-6, IL-10 and IFN-γ. It can be inferred that reduced expression of STAT3 and SOCS genes in SiHa
CDV
versus SiHa
parental
is the consequence of reduced levels of cytokines, and indeed, SiHa
CDV
produced lower levels of pro-inflammatory cytokines (IL-6, IL-8, TNF-α and IFN-γ) in mice.
In the xenograft model, human IL-6, IL-8, and TNF-α are expected to have an important role in the mice pathology because they are known to be biologically active in mice, in contrast to IFN-γ and its receptor that are species specific[
58]. SiHa
parental
, but not CDV-resistant cells, produced high levels of IL-6. This cytokine is known to induce extensive extramedullar hematopoiesis leading to production of neutrophils that localize to the tumor microenvironment promoting tumor growth by protease-induced angiogenesis[
59].
TNF, originally identified for its ability to induce rapid hemorrhagic necrosis of experimental tumors, is now recognized as a central mediator of inflammation, representing one of the molecular links between chronic inflammation and the subsequent development of malignant disease[
60]. TNF-α is a strong activator of NF-κB, an injury transcription factor that contributes to cell survival, proliferation, invasion, inflammation and angiogenesis[
61]. Tumor promotion by TNF-α can involve diverse pathways, including enhancement of tumor growth and invasion, leukocyte recruitment, angiogenesis and facilitation of mesenchymal transition[
62]. SiHa
CDV
showed increased expression of the TNF receptor TNFRSF11B and diminished expression of the TNF ligand TNFSF15 (Additional file
4), which is expected to affect NF-κB activation and apoptosis induction. This hypothesis is based on the fact that TNFRSF11B is a decoy receptor for RANKL (receptor activator of NF-κB ligand) and TRAIL (TNF-related apoptosis-inducing ligand), and that TNFSF15 (which is inducible by TNF and IL-1α) binds to TNFRSF21 (an activator of NF-κB and of apoptosis). Further evidence for an effect on NF-κB activation in SiHa
CDV
versus SiHa
parental
is provided by increased expression of the TNF associated factor TRAF3 (a known inhibitor of NF-κB activation) and of IKBKG [the regulatory subunit of the inhibitor of kappa B kinase (IKK) complex, also known as NEMO].
The decreased expression of several genes implicated in the HMGB1 (high mobility group box 1) signaling pathways in SiHa
CDV
versus SiHa
parental
further supports the reduced tumorigenicity and inflammation of cells that acquired CDV-resistance. As post-translational modifications determine intracellular distribution and key functions of HMGB1, changes at the mRNA level for HMGB1 were not detected. However, in the HMGB1 signaling pathway, expression of mitogen-activated protein kinases (MAPKs) and of the serine/threonine kinase AKT3 was reduced in SiHa
CDV
versus SiHa
parental
, leading, respectively, to diminished expression of c-Fos and c-Jun and to regulation of NK-κB. c-Fos and c-Jun form the transcription factor complex AP-1 which regulates gene expression in response to a variety of stimuli (such as cytokines, growth factors, stress, and microbial infections) and controls a number of cellular processes. HMGB1, considered as a prototypic damage-associated molecular pattern (DAMP) molecule, acts as both a ligand and a sensor of the signal-transducing innate responses. Therefore, it can be assumed that a decrease in HMGB1 signaling following acquisition of CDV-resistance may result in lower stimulation of pro-inflammatory cytokines.
Another interesting finding when comparing SiHa
CDV
and SiHa
parental
is their differences in TLR signaling, with TLR3 and TLR4 is downregulated in SiHa
CDV
. TLRs activate several signaling elements that results in activation of pro-inflammatory cytokines, regulating apoptosis, antimicrobial response and immune responses. Expression of TLRs in tumor cells can promote inflammation and cell survival in the tumor microenvironment[
63,
64]. Moreover, expression of TLRs in esophageal squamous carcinoma[
65] and in cervical lesions[
66] was shown to correlate with disease severity. As TLRs promote tumor cell growth and cytokine secretion, leading to the escape of tumor cells from immune surveillance, it can be assumed that reduced TLR expression in SiHa
CDV
will contribute to a reduced inflammatory response and decreased tumor growth compared to the parental cells.
Further evidence for lower tumorigenicity induced by SiHa
CDV
versus SiHa
parental
in mice is provided by changes in the ‘MSP/RON signaling pathway’. Macrophage-stimulating protein (MSP) activates the RON receptor tyrosine kinase, which regulates several activities of epithelial cells[
67]. The MSP-RON pathway plays also a role in epithelial carcinogenesis and RON is found over-expressed in many breast, colon, and pancreatic tumors[
67]. As activation of the MSP-RON pathway directs invasive growth (characterized by increased cell replication, migration, and matrix invasion)[
68,
69], it can be inferred that the decreased expression of genes involved in this pathway [such as TLR4, TLR3, monocyte chemoattractant protein 1 (CCL2) and integrin β2] in SiHa
CDV
versus SiHa
parental
will be translated in a reduced tumorigenicity
in vivo.
In the context of developing CDV as an anti-cancer drug, our findings have therapeutic/biological significance since we showed that acquisition of CDV-resistance is expected to result in a reduced malignant phenotype.
Today, no evidence for the development of resistance to CDV in the treatment of HPV-associated (malignant) lesions has been reported.
Methods
Compounds
Cidofovir [CDV, (S)-HPMPC, (S)-1-(3-hydroxy-2-phosphonylmethoxypropyl)cytosine], PMEG {[9-(2-phosphonylmethoxyethyl)guanine]} and cPr-PMEDAP {cyclo-propyl-9-[2-(phosphonomethoxyethyl]diaminopurine]} were kindly provided by Gilead Sciences, Inc., Foster City, California. Cytarabine [Ara-C, (β-D-Arabinofuranosyl)cytosine] was obtained from Sigma.
Cells
SiHa cells, HPV16-positive cervical carcinoma (ATCC, # HTB-35™), were maintained in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal calf serum. SiHa cells resistant to CDV were selected by passing the cells under increasing drug concentration for approximately 45 passages (initial drug concentration of 1.6 μM and final concentration of 317.3 μM) during a 2-years time. The parental SiHa cells and those selected for resistance to CDV were denoted SiHa
parental
and SiHa
CDV
, respectively. In order to demonstrate that both cell lines were related, short tandem repeat (STR) analysis was performed at the Forensic Laboratory of UZ Leuven (Leuven, Belgium). Despite some small alterations following long-term culturing of the cells, the STR analysis confirmed that SiHa
parental
and SiHa
CDV
were related and thus that the resistant cell line is indeed a derivative of the parental cell line (see Additional file
7).
Drug-antiproliferative effects and in vitro growth rate
Inhibition of SiHa
parental
and SiHa
CDV
growth was determined following different times of incubation with the compounds. Compounds were tested at different concentrations in a range of 0.63 μM – 634.7 μM for CDV, 0.0065 μM – 6.54 μM for PMEG, 0.061 μM – 60.99 μM for cPr-PMEDAP, and 0.0205 μM – 20.53 μM for Ara-C. Antiproliferative effects were expressed as CC50 (50% cystostatic concentration), or concentration required to reduce cell growth by 50%.
Doubling time (DT) of SiHa
parental
and SiHa
CDV
was determined in 48-well microtiter plates from growth curves performed in absence of the drug by using the formula: DT = (t - t0)/(log2N – log2N0), where t and t0 are the times at which the cells were counted, and N and N0 are the cell numbers at times t and t0.
Detection of apoptosis
To differentiate between living, apoptotic and necrotic cells, SiHa
parental
and SiHa
CDV
were grown for 7 days in the presence of CDV or PMEG. Cells were simultaneously stained with annexin V-FITC and propidium iodide (PI) using the FITC Annexin V Apoptosis Detection Kit (BD Pharmigen™). Dual fluorescence dot plots were determined with a FACSCalibur flow cytometer equipped with CellQuest software (BD Biosciences).
Microarray experiments
SiHa
parental
and SiHa
CDV
cells were allowed to grow for 72 h in medium without CDV. Total RNA of 1 × 106 cells was isolated with TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. The RNA was further purified by RNeasy Mini Kit (Qiagen). RNA quality and quantity were assessed by using a Bioanalyzer system (Agilent).
Human Genome U133 Plus 2.0 arrays (Affymetrix) containing more than 54,000 probe sets and covering approximately 38,500 genes were used to analyze the expression profile of the two cell lines, and both conditions were tested in triplicate. Array hybridization, scanning and image analyzing were done following the manufacturer’s protocols (Affymetrix GeneChip Expression Assay) at the VIB Nucleomics Core Facility (
http://www.nucleomics.be). Raw data were corrected for background signal using the RMA (Robust Multi-array analysis) algorithm (affy_1.22.0 package of BioConductor). The detection (Present/Absent) call generated by the Affymetrix microarray suite version 5 software (MAS 5.0) was used to remove probe sets that were not reliable detected in any of the microarrays before further analysis.
Differentially expressed (DE) probe sets between SiHa
parental
and SiHa
CDV
were determined using a moderated t-statistic test [LIMMA (linear models for microarray data), BioConductor]. The Benjamini-Hochberg correction for multiple testing [p < 0.05, false discovery rate (FDR) = 0.05] was performed. Probe sets were considered significantly DE if the absolute fold-change (FC) was > 2 and the P-value was < 0.05 (LIMMA) after applying the Benjamini-Hochberg correction.
Bioinformatics analysis of differentially expressed genes was carried out with Ingenuity Pathways Analysis (IPA, Ingenuity® Systems) version 9. Data sets with the corresponding FC and P-value were uploaded into the IPA (Ingenuity Pathway Analysis, Ingenuity® Systems) software. Stringent criteria, equivalent to those described for the selection of DE probes, were applied to identify DE genes. When genes were represented by 2 or more probe sets on the arrays, only the maximum FC was used. Uncharacterized probe sets were not included in the analysis.
The IPA application reveals relevant pathways and biological functions by comparing the number of genes that participate in a given function or pathway, relative to the total number of occurrences of those genes in all the pathways stored in the IPKB (Ingenuity Pathway Knowledge Base). Validation of the microarray data was performed with 4 genes (randomly selected) by quantitative reverse transcription-polymerase chain reaction (qPCR) as previously reported[
28].
Animal experiments
Female nu/nu NMRI mice (4–5 weeks old) were purchased from Janvier Breeding Center. All animal work was approved by the KU Leuven Ethics Committee for Animal Care and Use (Permission number: P160-2008).
Mice were inoculated sub-cutaneously on the back with 2 × 106 cells in a volume of 200 μl, week 0 being considered the time point of cell inoculation. To estimate body weight gain, mice were sacrificed weekly and tumors were excised, weighed and subtracted from the total body weight. Gain in body weight was calculated as the percentage of body weight gained compared to the mice weight at week 0.
Spleens from 3 mice per group were isolated at different weeks to determine the percentage of immune cell populations. Spleens were processed and splenocytes were stained with specific antibodies and analyzed by flow cytometry as described previously[
24]. One mouse per group was euthanized weekly to collect various tissues for histopathological examination.
Total blood from 5 mice per group was collected in EDTA tubes at week 5 to perform hematology and blood chemistry testing at the University Hospitals Leuven, Department of Laboratory Medicine, Leuven, Belgium.
At various time points, tumor- and host-derived cytokines were quantified in the sera of mice (3 animals per group) with a Bio-plex 200 system (Bio-Rad Laboratories) according to the manufacturer’s protocols.
Statistical analysis
Statistical significance was assessed based on unpaired two-tailed Student’s t-test with GraphPad Prism 5 software (GraphPad Software Inc., La Jolla, CA, USA). Significance was indicated as: ns, not significant (p > 0.05); *, significant (p < values 0.05); **, very significant (p < 0.01); and ***, extremely significant (p < 0.001).
Authors’ contributions
TDS, GA, DT, PM, and RS conceived and designed the experiments. TDS, SD, and TM performed the experiments. TDS, GA, DT, JvdO, PM, and RS analyzed the data. TDS, GA, DT, and RS were responsible for drafting the article. All authors critically revised the article and finally approved the manuscript prior to publication.