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. 2014 Aug 21;4:6152. doi: 10.1038/srep06152

Establishing a panel of chemo-resistant mesothelioma models for investigating chemo-resistance and identifying new treatments for mesothelioma

Amanda L Hudson 1,2,a, Chris Weir 1,2, Elizabeth Moon 1,2, Rozelle Harvie 1,2, Sonja Klebe 3, Stephen J Clarke 1,2, Nick Pavlakis 1,2, Viive M Howell 1,2
PMCID: PMC4139953  PMID: 25141917

Abstract

Mesothelioma is inherently chemo-resistant with only 50% of patients responding to the standard of care treatments, and consequently it has a very grim prognosis. The aim of this study was to establish a panel of chemo-resistant mesothelioma models with clinically relevant levels of resistance as tools for investigating chemo-resistance and identifying new treatments for mesothelioma. Chemo-resistant cell lines were established in vitro and characterized in vivo using syngeneic Fischer rats. Tumors derived from all chemo-resistant cell lines were immunohistochemically classified as mesothelioma. Homozygous deletion of p16INK4A/p14ARF and increased expression of several ATP-binding cassette transporters were demonstrated, consistent with findings in human mesothelioma. Further, the acquisition of chemo-resistance in vitro resulted in changes to tumor morphology and overall survival. In conclusion, these models display many features corresponding with the human disease, and provide the first series of matched parental and chemo-resistant models for in vitro and in vivo mesothelioma studies.

Malignant mesothelioma (MM) is an aggressive malignancy that displays relatively low responses to existing therapies resulting in short survival for those afflicted. Exposure to asbestos fibres is known in 80% of all MM patients with an estimated 125 million people exposed globally in the workplace leading to 43,000 people dying of MM each year (reviewed in1). While bans on asbestos use were introduced decades ago in most western countries, its widespread use means that existing asbestos in the community remains a real danger to the general public2,3. This together with the long latency period for tumor development means that MM incidence continues to increase, with a new incidence wave emerging due to non-occupational exposure, and there is uncertainty as to when, and at what level it will peak3.

The most effective chemotherapy was established in 2003 and combines the use of pemetrexed and cisplatin4; this remains the current standard of care5. Whilst MM is inherently chemo-resistant, approximately 40% of patients will respond to this treatment6 leading to a median survival of 12 months7. Thus there is an urgent need to identify more effective treatments for mesothelioma patients. While a number of novel therapies have recently been examined in clinical trials8, to date none of these has resulted in changes in practice. This is due in part to a general lack of successful translation of promising pre-clinical data to the clinical setting in cancer, with only 5% of drugs entering clinical trials ultimately approved by the Food and Drug Administration9,10. A significant contributor to this high failure rate is the lack of ‘robustness’ of the pre-clinical models used to evaluate new treatments11. The majority of pre-clinical assessments for candidate therapeutics are performed in vitro and in xenograft mouse models12. These do not always recapitulate the cellular complexity of clinical tumors10, occurring in non-physiological environments, frequently in the absence of both immune surveillance and systemic interactions with the vascular system13. While no model is ideal, syngeneic orthotopic models have the advantage of representing the dynamics of the complete tumor by allowing essential interactions between tumor cell receptors, the stromal ligands and a functioning immune system creating a more realistic environment for tumor development14.

Since its development in 198715, the syngeneic II-45 rat mesothelioma cell line, also referred to as IL-4516, has been accepted and utilized as a relevant model system for pleural mesothelioma research17,18,19,20. This model exhibits an essentially sarcomatoid morphology16. While sarcomatoid mesothelioma accounts for only 10–15% of all diagnosed cases, it is more aggressive and less responsive to treatment21 resulting in decreased survival22. Using the least responsive subtype as a model may help to identify new treatments which are effective for the other subtypes as well. However, given the high likelihood of acquiring chemo-resistance, models which have acquired clinically relevant levels of resistance are also needed. This paper establishes and characterizes a panel of chemo-resistant mesothelioma models with clinically relevant levels of resistance and investigates their phenotypic differences. Such models that recapitulate human disease, will not only enable mechanistic studies into the causes of chemo-resistance, but will also facilitate the identification of new treatments.

Results

Normal mesothelial and II-45 mesothelioma cells have different drug sensitivity profiles

Given the inherent chemo-resistance of MM, we first wanted to determine whether the chemo-naïve II-45 mesothelioma cell line had different chemotherapeutic responses to those of normal strain-matched mesothelial cells (4/4 RM.4 cells). 4/4 RM.4 cells were chosen as they represent the ‘putative progenitor cells’ of MM and as such are an accepted non-malignant control for the II-45 cells23,24,25. Using MTT cytotoxicity assays, we observed that the II-45 cells were 20-fold more resistant to paclitaxel (p < 0.001) and 3-fold more resistant to vinorelbine (p < 0.01) than the non-malignant control cells, confirming the inherent resistance of the II-45 cells to these anti-mitotic agents (Figure 1). A trend towards increased resistance was observed for pemetrexed. However, these cells were not inherently resistant to all agents assessed, showing equivalent sensitivities to the non-malignant cells for cisplatin and gemcitabine, and increased sensitivity to methotrexate (Figure 1).

Figure 1. IC50 values for cell lines.

Figure 1

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Cell viability of the mesothelial, parental and chemo-resistant mesothelioma cells were assessed using MTT assays in the presence of therapeutic agent as indicated. The drug dose causing 50% growth inhibition (IC50 drug dose) was calculated. While the 4/4 RM.4 cells grew significantly slower than the II-45 cells (p < 0.05) with doubling times of 18.1 ± 0.9 hrs and 14.5 ± 0.9 hrs respectively, the percentage survival for the cytotoxicity assays is based on the growth of each individual cell line grown without the addition of chemotherapeutic agent and is thus independent of differences in growth rates between the cell lines. Bars show the mean and the error bars show the standard error from at least three independent experiments. P-value was calculated using a one-way Anova test with a value of less than 0.05 indicating significance.*p < 0.05, ** p < 0.01, *** p < 0.001 relative to parental II-45 mesothelioma cells. Mesothelial cells, 4/4 RM.4, parental mesothelioma cells, II-45; cisplatin resistant II-45 cells, CisR; pemetrexed resistant II-45 cells, PemR; combination (cisplatin + pemetrexed) resistant II-45 cells, ComboR; gemcitabine resistant II-45 cells, GemR; vinorelbine resistant II-45 cells, VLBR.

Establishment of 5 chemo-resistant mesothelioma cell lines in vitro

To be able to address the critical clinical issue of resistance to chemotherapy we sought to establish mesothelioma cell models with acquired resistance to the standard of care and other agents used for the treatment of MM. Clinically, dose escalation in patients is generally not feasible due to the associated increase in toxicity with the recommended dosage being based on the maximum tolerated dose. To recapitulate this clinical scenario, the drug concentration used to generate chemo-resistance cells in this study remained constant. Chemo-resistant cell lines were generated by treating the parental II-45 cells with the drug concentration required for 50% growth inhibition (IC50) for each drug followed by a recovery period. In addition to dosing with cisplatin, pemetrexed, gemcitabine or vinorelbine individually, the combination treatment of cisplatin plus pemetrexed, as the current standard of care regimen, was also included (ComboR). After 15 cycles of drug treatment the resulting cell lines developed clinically26 and statistically significant increases in resistance to the chemotherapeutic agent they were selected against (Figure 1, p < 0.05 relative to parental II-45 cells). There were no significant differences seen in growth rates between the parental and chemo-resistant II-45 cells in vitro (data not shown).

Interestingly, cross resistance to other classes of anti-cancer agents was observed indicating potential multi-resistant phenotypes (Figure 1). Cells with acquired resistance to pemetrexed (PemR) demonstrated the broadest cross-resistance, having developed resistance to gemcitabine, vinorelbine, paclitaxel and methotrexate, but maintaining sensitivity to cisplatin. Cells with acquired resistance to cisplatin (CisR) were also observed to be resistant to the anti-mitotics vinorelbine and paclitaxel.

II-45 cells have high endogenous expression of drug resistance-related genes

In order to utilise the cell models developed above for overcoming chemo-resistance we were interested in identifying mechanisms of resistance in common with the human malignancy. We surveyed the expression of a focussed panel of 84 genes involved in the response to chemotherapy that had previously been shown to have relevance to human mesothelioma (27, SI Table 1 for a list of the gene panel). Consistent with changes reported for human MM cell lines and tissues, large changes were seen in the ATP-binding cassette (ABC) transporter superfamily members involved in drug resistance28. Abcb1a and Abcg2 were vastly elevated in parental II-45 cells relative to the non-malignant control cells (Table 1). These vast increases in transcript levels were maintained or increased further in the 5 chemo-resistant cell lines (Table 2, results expressed relative to II-45 parental cells). Changes in expression of Abcb4, Abcc2 and, or Abcg2 were also noted between the chemo-resistant and parental II-45 cell lines with vinorelbine resistant cells (VLBR) demonstrating increased expression of all 3 genes (Table 2).

Table 1. Significant changes in gene expression levels in II-45 mesothelioma cells in relation to normal 4/4 RM.4 mesothelial cells.

Gene name Abbreviation Functional gene grouping Fold change
ATP-binding cassette, sub-family B (MDR/TAP), member 1A Abcb1a* Drug resistance 243.9A
ATP-binding cassette, subfamily G (WHITE), member 2 Abcg2 Drug resistance 26.1
Major vault protein Mvp Drug resistance 6.5
Tumor protein p53 Tp53 Drug resistance 2.3
Cellular retinoic acid binding protein 1 Crabp1 Drug metabolism 9.4A
Cytochrome P450, family 2, subfamily b, polypeptide 2 Cyp2b2 Drug metabolism 5.5A
Cytochrome P450, subfamily 2, polypeptide 11 Cyp2c11 Drug metabolism −15.4A
Dihydrofolate reductase Dhfr Drug metabolism 1.9
Epoxide hydrolase 1, microsomal Ephx1 Drug metabolism −44.5
Glutathione S-transferase mu 1 Gstm1 Drug metabolism 2.6
Superoxide dismutase 1, soluble Sod1 Drug metabolism 2.3
UDP-glucose ceramide glucosyltransferase Ugcg Drug metabolism 9.0
Cyclin D1 Ccnd1 Cell cycle 5.3
Cyclin dependent kinase 2 Cdk2 Cell cycle 1.5
Cyclin-dependent kinase inhibitor 1B Cdkn1b Cell cycle −2.5A
Similar to cyclin-dependent kinase inhibitor 2D Cdkn2d Cell cycle 2.3
Epidermal growth factor receptor Egfr Growth factor receptor −9.8
Fibroblast growth factor 2 Fgf2 Growth factor receptor 19.7A
Met proto-oncogene Met Growth factor receptor −2.7
Androgen receptor Ar* Hormone receptor 215.7A
Peroxisome proliferator-activated receptor delta Ppard Hormone receptor 2.8
Peroxisome proliferator-activated receptor gamma Pparg Hormone receptor 65.4A
Aryl hydrocarbon receptor Ahr Transcription factor −21.5
Adaptor-related protein complex 1, sigma 1 subunit Ap1s1 Transcription factor 8.5
Myelocytomatosis oncogene Myc Transcription factor 5.4
Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, beta Nfkbib Transcription factor 2.2
ATP-binding cassette, sub-family B (MDR/TAP), member 1A Abcb1a Drug resistance 153.7
Androgen receptor Ar Hormone receptor 235.0
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*Validated using individual TaqMan Gene Expression Assays; results normalized to Rplp1, Actb and Gapdh.

AAssay reached detection limit therefore result not accurate and likely to be higher than indicated. Results generated by rat SABioscience PCR arrays using SYBR green (Qiagen); results normalized to a panel of housekeeping genes (Rplp1, Hprt1, Rpl13a, Ldha, Actb) and are the mean of three biological replicates.

Table 2. Significant gene expression changes (p < 0.05) in chemo-resistant II-45 cells in relation to parental II-45 cells.

Gene Abbreviation Functional gene grouping CisR PemR ComboR GemR VLBR
Abcb1a* Drug resistance 1.6 -- -- -- 1.9
Abcb1b* Drug resistance 1.6 -- -- -- --
Abcb4 Drug resistance -- −2.2 -- −2.6 2.8
Abcc2 Drug resistance -- 2.0 1.6 -- 2.1
Abcg2 Drug resistance -- -- -- -- 2.4
Bcl2 Drug resistance -- -- 1.3 -- --
Bcl2l1 Drug resistance -- 2.0 -- -- --
Rb1 Drug resistance -- -- −1.8 -- --
Crabp1 Drug metabolism 6.8 -- 2.3 -- --
Cyp2b2 Drug metabolism -- -- 2.2 -- 9.5
Cyp2c7 Drug metabolism -- -- 3.9 -- --
Dhfr Drug metabolism -- -- 1.3 -- --
Ephx1 Drug metabolism -- -- −5.5 -- --
Nat2 Drug metabolism −1.7 -- −1.7 -- --
Sod1 Drug metabolism 1.3 -- 1.2 -- --
Ugcg Drug metabolism -- -- -- -- −1.6
Xpa DNA repair -- −1.2 −1.8 -- --
Ccnd1 Cell cycle 1.5 1.1 -- -- --
Cdkn1a Cell cycle -- -- −1.8 -- --
Fgf2 Growth factor receptor -- -- −2.3 -- --
Ar* Hormone receptor −7.7A −36.8A −72.1A 2.8 --
Ppard Hormone receptor −2.3 -- -- -- --
Pparg Hormone receptor -- -- −2.4 −2.1 --
Gabpa Transcription factor 1.8 -- -- -- 1.7
Myc Transcription factor -- 1.6 -- -- --
Abcb1a Drug resistance 1.44 -- -- -- 1.21
Abcb1b Drug resistance 1.40 -- -- -- --
Ar Hormone receptor −7.35 −33.30 −49.02 3.23 --
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*Validated using individual TaqMan Gene Expression Assays; results normalized to Rplp1, Actb and Gapdh.

AAssay reached detection limit therefore the result is likely to be higher than indicated. -- indicates result was not significantly different (p ≥ 0.05). II-45, parental mesothelioma cells; CisR, cisplatin resistant II-45 cells; PemR, pemetrexed resistant II-45 cells; ComboR, combination (cisplatin + pemetrexed) resistant II-45 cells; GemR, gemcitabine resistant II-45 cells; VLBR, vinorelbine resistant II-45 cells. Results generated by rat SABioscience PCR arrays using SYBR green (Qiagen); results normalized to a panel of housekeeping genes (Rplp1, Hprt1, Rpl13a, Ldha, Actb, Rplp1) and are the mean of three biological replicates.

Large changes in expression between the malignant and non-malignant control cells were observed for a number of other genes in the selected panel assessed (Table 1). Notable were the hormone receptors Androgen receptor (Ar) and Peroxisome proliferator-activated receptor gamma (Pparγ) which were also found to be amongst the top 10 most upregulated genes in human MM cell lines relative to non-malignant control cells27. The expression levels of these genes had been shown to be altered by the mitogen-activated protein kinase kinase 1 (MEK1) inhibitor U0126 suggesting a role for mitogen-activated protein kinase 3 (MAPK3 or ERK1) in their regulation27. We also found that the expression of Ar varied significantly with the resistance profile of the cells with a decrease in expression observed for cells resistant to pemetrexed and/or cisplatin (Table 2).

To further understand the resistance mechanisms that may be used by the newly established II-45 chemo-resistant cell lines we undertook additional gene expression analysis (Taqman assays) for several key genes. Transcript levels of excision repair cross complementation group 1 (Ercc1)29, ribonucleotide reductase M1 (Rrm1)30 and thymidylate synthetase (Tyms)31 are known to correlate with cisplatin, gemcitabine or pemetrexed resistance respectively. However, no significant differences in the expression of these genes were observed between the cell lines (supplementary Figure 1) indicating that these genes do not have major roles in the mechanisms responsible for chemo-resistance in these cell lines.

ABC transporter superfamily members are associated with inherent and acquired drug resistance in II-45 mesothelioma cell lines

Given the vast expression changes noted in several ABC transporter genes we next sought to functionally confirm the contribution of the ABC transporter proteins to the resistance profiles of the cell lines. Pemetrexed and vinorelbine are known substrates of the ABC transporters32. Parental II-45 cells and cells with acquired resistance to pemetrexed (PemR) or vinorelbine (VLBR) were treated with the drug in the presence or absence of verapamil, an ABC transporter protein inhibitor, and their sensitivities (IC50) reassessed. In the presence of verapamil, the ABC transporter efflux of drug is inhibited and the sensitivity of VLBR cells to vinorelbine, and PemR cells to pemetrexed increased significantly (Figure 2C and D, p < 0.05 and p < 0.01, respectively). These results confirm the contribution of the ABC transporter proteins in resistance to pemetrexed and vinorelbine.

Figure 2. The effect of inhibiting ABC transporters on cell viability.

Figure 2

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Cell viability of parental and chemo-resistant mesothelioma cells following vinorelbine (a, c) or pemetrexed (b, d) treatment in the presence (+VER) or absence of verapamil was determined using MTT assays. Points show the mean and standard error of triplicate wells. The drug dose causing 50% growth inhibition (IC50 drug dose; c, d) was determined and the p-value was calculated by comparing the IC50 values from at least three independent experiments using a one-way Anova test with a value of less than 0.05 indicating significance.*p < 0.05, ** p < 0.01, *** p < 0.001. Parental mesothelioma cells, II-45; pemetrexed resistant II-45 cells, PemR; combination (cisplatin + pemetrexed) resistant II-45 cells, ComboR; vinorelbine resistant II-45 cells, VLBR.

Glutathione levels are not responsible for cisplatin resistance in II-45 cell lines

We similarly attempted to understand the mechanisms involved in resistance to cisplatin. Increased glutathione (GSH) levels have been documented to correlate with cisplatin resistance33. Therefore we treated parental II-45 and cisplatin resistant cell lines (CisR and ComboR) with cisplatin with and without an inhibitor of GSH and reassessed the sensitivities to cisplatin. The addition of the GSH inhibitor, buthionine sulfoximine (BSO), led to a decrease in the resistance of the CisR and ComboR cell lines to cisplatin (supplementary Figure 2). However, these results did not reach significance indicating that increased GSH levels are not the major mechanism for cisplatin resistance in these models. This is similarly reflected in the increased expression of the GSH conjugating enzyme transcript Gstm1 in the II-45 cells (Table 1, relative to non-malignant cells) which was insufficient to alter cisplatin sensitivity (Figure 1A).

Comparative genomic hybridization identifies loss of the Cdnk2 locus in II-45 cells

The most common chromosomal change in human MM is homozygous deletion of the p16INK4A/p14ARF locus which occurs in 50–70% of human mesothelioma samples and in up to 90% of stable MM cell lines34. To determine whether this genetic aberration is also present in our models, comparative genomic hybridization (CGH) arrays were performed on selected cells lines (II-45 parental and ComboR). Of the chemo-resistant cell lines established, the ComboR cells were chosen as they were treated simultaneously with two different drugs (cisplatin and pemetrexed) which would put them under more selective pressure than the other cell lines. Homozygous deletion of Cdkn2a/2b along with a co-deletion of Mtap at 5q32 was identified in both the parental and combination resistant II-45 cells (supplementary Figure 3) providing chromosomal evidence for the relevance of these models to the human malignancy. Complete (homozygous) loss of Cdkn2 was also noted by gene expression profiling with no transcript expression detected (data not shown). Alterations at Nf2, Tp53, Bap1 or Egfr are also noted in subsets of MM cases. However, no chromosomal abnormalities were identified at these loci in the II-45 cell lines.

Rats engrafted with pemetrexed resistant cells have a shorter survival than those engrafted with parental chemo-naïve cells

Having established the series of chemo-resistant cells lines and identified gene and chromosomal similarities with the human disease we next wished to determine whether there were in vivo differences in growth characteristics between these cell lines. Rats orthotopically engrafted with PemR cells reached ethically defined endpoints of euthanasia at day 11, significantly earlier than rats with parental II-45 cells (p < 0.05, Figure 3A). Overall the tumor scale in the pleural cavity did not differ statistically between the groups (Figure 3B) although tumors from rats with PemR cells tended to be smaller.

Figure 3. Endpoint data for rats with pleural mesothelioma.

Figure 3

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Rats were injected with 5 × 105 parental or chemo-resistant II-45 cells directly into the pleural cavity. (a) Mean time (days) until ethical endpoint (weight loss of >10% or difficulty in breathing); (b) Pleural tumor scale at endpoint in rats with mesothelioma. P-value was calculated using a one-way Anova test with a value of less than 0.05 indicating significance. *p < 0.05 relative to rats with II-45 mesothelioma cells. Parental mesothelioma cells, II-45; cisplatin resistant II-45 cells, CisR; pemetrexed resistant II-45 cells, PemR; combination (cisplatin + pemetrexed) resistant II-45 cells, ComboR; gemcitabine resistant II-45 cells, GemR; vinorelbine resistant II-45 cells, VLBR.

Chemo-resistance is maintained in vivo

To confirm the maintenance of chemo-resistance in vivo, rats were engrafted with parental or CisR cells and then treated with cisplatin. Rats engrafted with CisR cells and subsequently treated with cisplatin survived for a substantially shorter period of time than rats engrafted with parental II-45 cells and similarly treated with cisplatin (Supplementary Figure 4A). Ex-vivo transplants were taken from tumors treated with cisplatin and grown under normal cell culture conditions. In comparison to II-45 tumor cells treated with cisplatin, CisR tumor cells treated with cisplatin were found to be statistically significantly resistant to cisplatin (p < 0.01; supplementary Figure 4B&C) indicating that resistance is maintained in vivo when treated with chemotherapy.

Tumor morphology changes with the acquisition of chemo-resistance

The morphology of MM is classified as sarcomatoid, epithelioid or biphasic (a combination of both), with sarcomatoid morphology associated with poorer prognosis and reduced responsiveness to treatment21. We were therefore interested to determine whether the morphology had altered with the acquisition of chemo-resistance and performed H&E staining on at least 3 tumors from each cell line. We first established that the tumors arising from the parental chemo-naïve II-45 cells showed sarcomatoid morphology with pleomorphic features and only focal areas of epithelioid appearance (classified by pathologist S.K.) consistent with previous reports16. We next examined the tumors from the chemo-resistant cell lines and found that these demonstrated different morphologies ranging from epithelioid in the gemcitabine resistant tumors (GemR) to almost exclusively sarcomatoid in the PemR and ComboR tumors (Figure 4A). These distinct morphologies remained constant for each cell line across experiments (n ≥ 3) and were independent of the size and stage of the tumor. Significantly shorter survival correlated with a predominantly sarcomatoid morphology for the PemR rats (Figure 3a). However, no other associations between morphology and survival were observed.

Figure 4. Histological images of pleural tumors derived from parental and chemo-resistant II-45 cells.

Figure 4

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Representative images arranged according to morphological characteristics (a). Tumors with a distinctive epithelioid appearance are on the left ranging towards essentially sarcomatoid tumors on the right. GemR, gemcitabine resistant II-45 cells; CisR, cisplatin resistant II-45 cells; VLBR, vinorelbine resistant II-45 cells; II-45, parental mesothelioma cells; PemR, pemetrexed resistant II-45 cells; ComboR, combination (cisplatin + pemetrexed) resistant II-45 cells. Scale bar = 50 μm. Podoplanin immunolabeling of tumors derived from parental (b) II-45 cells or pemetrexed resistant cells (c). Membranous immunolabeling of tumor cells and lymphatics (note lack of labelling of endothelial cells lining blood vessel) were identified in both tumor types with the labelling intensity increasing in the pemetrexed resistant tumors with labelling extending internally from the periphery. Inserts: 2× higher magnification; Scale bar = 50 μm.

The role of epithelial to mesenchymal transition (EMT) in the morphology of MM is uncertain35. Therefore, we assessed the levels of two well-known EMT markers E-cadherin and vimentin, as well as the proliferative marker Ki67 in the tumors. No differences in the levels of these proteins were detected by immunohistochemical (IHC) labelling between tumors with different morphologies (supplementary Figure 5). Proliferating Ki67 cells were found evenly throughout the sections and were not limited to the tumor periphery. These results indicated that EMT was not a major factor in the different morphologies observed and that the proliferative potential did not vary with morphology.

Immunohistochemical characterization confirms a diagnosis of mesothelioma for all tumours and an increased sarcomatoid phenotype for PemR derived tumours

In humans the diagnosis of MM can be difficult but is important for differentiation from reactive benign conditions and carcinomas. IHC analysis, performed in conjunction with histopathological examination is integral to the diagnosis and can assist with the classification of sarcomatoid or epithelioid subtypes. Having assessed tumor morphology and proliferative potential, we next examined the tumors using a diagnostic panel of antibodies recommended for the classification of human mesothelioma to determine whether the acquisition of chemo-resistance was accompanied by a change in IHC characteristics in addition to a change in morphology.

The human classification system recommends assessment of both positive and negative markers for MM. The positive markers include WT-1, HBME-1, calretinin, podoplanin and cytokeratins (5/6 and pan-cytokeratins using clone MMF116) with increased expression of calretinin indicative of an epithelioid subtype and increased expression of podoplanin indicative of a sarcomatoid subtype (detailed in SI Table 2). Recommended negative markers to differentiate MM from carcinomas include CD15 and TTF-1 (SI Table 2).

Using this antibody panel all tumors were diagnosed as mesothelioma (n = 3 per cell line). All tumors were negative for the two carcinoma-related markers TTF-1 and CD15 (data not shown). Equivalent patterns and intensity were noted for tumors arising from both parental and chemo-resistant cells for the positive markers WT-1, HBME-1, calretinin and both cytokeratins with representative images shown in supplementary Figure 5. However, while podoplanin was also positive in all tumors, increased expression was observed in the tumors derived from PemR cells (Figures 4B & 4C) confirming the predominantly sarcomatoid morphology observed for these tumours (Figure 4A).

Circulating immune cell profiling and cytokine analysis identifies generalised immune suppression in rats with mesothelioma

In human MM, the immune system plays a key role in tumorigenesis and tumour maintenance with chronic inflammation preceding the development of malignancy and MM cells having the ability to evade surveillance by the immune system and contribute to systemic changes. In our models tumor initiation is by engraftment and thus tumorigenesis cannot be assessed. However, we were interested to determine whether the established tumor was able to alter the host's immune response in a similar way as mesothelioma does in humans. To assess the systemic effects of the tumors, circulating immune cells and cytokines were profiled. Peripheral blood samples from rats with parental pleural II-45 cells were firstly evaluated in relation to normal healthy control rats (Figure 5). Total lymphocyte counts as well as the individual subsets (CD4, B cells and NK cells) were significantly decreased (p ≤ 0.05) while total monocyte counts as well as the neutrophil to lymphocyte ratio (NLR) were significantly elevated (p < 0.01). Significantly elevated levels of osteopontin (p < 0.05) and mesothelin (p < 0.05) were also identified in rats with parental II-45 cells in relation to control rats (Figure 6). Down regulation of both pro- and anti-inflammatory cytokines was also identified in the serum of animals with mesothelioma (supplementary Figure 6). These results suggest an overall immune suppression in rats with MM.

Figure 5. Total white blood cell counts.

Figure 5

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Rats were injected with 100 μL serum free media or serum free media containing 5 × 105 parental or chemo-resistant II-45 cells directly into the pleural cavity. At ethical endpoint, rats were euthanized and whole blood samples were analysed relative to rats with parental II-45 mesothelioma. (a) total lymphocyte counts; (b) total neutrophil counts; (c) total monocyte counts; (d) neutrophil to lymphocyte ratio (NLR); (e) CD4 positive (T4) lymphocyte counts; (f) CD8 positive (T8) lymphocyte counts; (g) CD45 RA positive B lymphocyte counts; (h) total number of peripheral natural killer (NK) cells. Normal control rats, Control; parental mesothelioma cells, II-45; cisplatin resistant II-45 cells, CisR; pemetrexed resistant II-45 cells, PemR; combination (cisplatin + pemetrexed) resistant II-45 cells, ComboR; gemcitabine resistant II-45 cells, GemR; vinorelbine resistant II-45 cells, VLBR. P-values were calculated using a one-way Anova test with a value of less than 0.05 indicating significance. *p < 0.05, **p < 0.01, ***p < 0.001 relative to rats with parental II-45 mesothelioma.

Figure 6. Plasma endpoint biomarkers.

Figure 6

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Rats were injected with 100 μL serum free media or serum free media containing 5 × 105 parental or chemo-resistant II-45 cells directly into the pleural cavity. At ethical endpoint, rats were euthanized and plasma samples were analysed for cytokine levels relative to rats with parental II-45 mesothelioma. (a) osteopontin levels; (b) mesothelin levels. Normal control rats, Control; parental mesothelioma cells, II-45; cisplatin resistant II-45 cells, CisR; pemetrexed resistant II-45 cells, PemR; combination (cisplatin + pemetrexed) resistant II-45 cells, ComboR; gemcitabine resistant II-45 cells, GemR; vinorelbine resistant II-45 cells, VLBR. P-values were calculated using a one-way Anova test with a value of less than 0.05 indicating significance. *p < 0.05 relative to rats with parental II-45 mesothelioma.

Additionally, to determine whether drug pre-treatment of mesothelioma cells influences the host's immune response, we also directly compared rats with parental II-45 cells to rats with chemo-resistant II-45 cells. Total neutrophil counts were significantly decreased in rats with gemcitabine resistant and vinorelbine resistant II-45 cells (p < 0.01) while NLR was significantly decreased only in rats with gemcitabine resistant II-45 cells (p < 0.01). Interestingly, increased levels of IL-7 and GM-CSF were identified in rats with vinorelbine resistant II-45 cells and increased levels of GRO/KC was identified in rats with cisplatin resistant cells (p < 0.05; supplementary Figure 6).

Discussion

This paper establishes and characterizes a panel of chemo-resistant models for mesothelioma research which have clinically relevant levels of resistance. We have used a standard pulsed treatment strategy followed by recovery in drug free media in order to mimic the cycles of chemotherapy a cancer patient receives in the clinic. While the acquired resistance levels that developed in our cells are relatively low, similar levels are found in cell lines derived from cancer patient's pre and post chemotherapy suggesting our models have clinically relevant levels of resistance (reviewed26). In addition to our models developing clinically relevant levels of chemo-resistance, they were also found to contain similar gene changes and chromosomal abnormalities as those found in human mesothelioma samples with increased expression of many ABC transporter proteins27,28,36 and homozygous deletion of the p16INK4A/p14ARF locus34, thus highlighting the biological and clinical relevance of our models to the human malignancy.

The results from our study highlight the contribution the drug transport or efflux pumps have on chemo-resistance in our models. While inhibitors of these proteins exists, the use of these in the clinical setting has resulted in limited success (reviewed in37) primarily due to chemo-resistance being a multifactorial complex problem. Other known mechanisms such as increased expression of Ercc129, Rrm130 and Tyms31 were shown to be of lower importance in our models however future studies comprehensively examining these mechanisms will help shed light on this overarching issue.

Given that tumor morphology is an important indicator of prognosis in the human disease, with sarcomatoid morphology indicating reduced survival and reduced responsiveness to treatment21, it was intriguing to note that the acquisition of chemo-resistance in vitro resulted in morphological changes in vivo. For tumors derived from PemR cells, this sarcomatoid morphology was corroborated by increased podoplanin expression, a immuno-marker considered especially useful for sarcomatoid MM diagnosis38. In addition, this increased podoplanin expression also corresponded with decreased survival in PemR animals which correlates with a recent finding by Yamaki et al.39 who suggested high expression of podoplanin as a prognostic marker of decreased survival in human mesothelioma. While not previously reported in MM, this change in morphology has been reported in colorectal cancer using similarly matched parental and chemo-resistant cell lines40. Post-chemotherapy biopsy of MM patients is not part of the standard of care and therefore it is unknown whether such morphological changes resulting from acquired chemo-resistance also occur in MM patients and whether this change is associated with reduced survival. Thus pre-clinical models of MM with differences in acquired resistance and morphology that recapitulate those seen in the human malignancy may provide insights for the choice of efficacious 2nd line therapies not possible using human samples.

Using a syngeneic cell line as the platform for the generation of chemo-resistant cells has several advantages over the traditional xenograft models. These models overcome the problems of incompatibility of the tumor cell and host, and the immunodeficiency of the host which has allowed us to create a more realistic environment for tumor development and, for eventual drug testing14. Assessing the immune systems of our animals has again helped confirmed the relevance of our models to the human malignancy, but has also highlighted that the acquisition of chemo-resistance can alter the host's immune response. While the reason for these differences requires further investigation, in vitro drug pre-treatment of cells has been previously documented to alter the immune response when grown in vivo41,42. These results also support previous studies where changes in immune biomarker levels have been found to correspond with the development of chemo-resistance43, and, as such may be predictive of such occurrences44,45. The acquisition of resistance therefore may be one of the reasons why immune biomarker levels in human mesothelioma patients are more varied and why they are not yet approved for clinical use.

In conclusion, having characterized these cell lines at multiple levels and identified similarities with the human malignancy, the models generated will enable rapid screening of novel single agent or combination therapies for evidence of cytotoxic activity in the setting of chemo-resistance. This will inform further pre-clinical and planned clinical development of these agents, thus providing a valuable new resource for initial drug screening to help address a major unmet need in the care of patients with mesothelioma.

Methods

Animal studies

All procedures involving animals were carried out in accordance with the recommendations in the Australian Code of Practice for the Care and Use of Animals for Scientific Purposes. The protocol for this study was approved by the Royal North Shore Hospital Animal Care and Ethics Committee (protocol numbers 1110-018A and 1206-013A).

Female Fischer 344 rats weighing 150–200 g were maintained at the Kearns Facility under standard conditions (12 hrs. light/dark cycles and free access to food and water).

Cell lines

The syngeneic rat mesothelioma II-45 cell line15 was a kind gift from A/Prof. Emanuela Felley-Bosco, Zurich University. The normal mesothelial 4/4 RM.4 cell line from female Fischer 344 rats was purchased from the ATCC (CCL-216). Cells were cultured and maintained in RPMI 1640 supplemented with 10% fetal bovine serum and grown in standard conditions (37°C humidified incubator with 5% CO2).

Cytotoxicity assays

Assays were performed in triplicate in a final volume of 200 μL. 4 × 103 cells in 100 μL were plated into 96-well microtitre plates and left to adhere for approximately 4 hrs. Serial drug dilutions (100 μL) were then added and plates were incubated for 72 hrs. in standard cell culture conditions. For experiments utilizing verapamil or buthionine sulfoximine (BSO), a final concentration of 20 μM and 50 μM (respectively) was also added to the cells. The MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) assay was performed as previously described to determine cell viability46 and to establish the drug dose causing 50% growth inhibition (IC50 drug dose). GraphPad Prism non-linear (curve fit) regression algorithms were used to calculate the drug dose causing 50% growth inhibition (IC50 drug dose).

Generation of chemo-resistant cell lines

II-45 cells were exposed to the IC50 drug dose of standard chemotherapies (as determined above) for 72 hrs. Drug was then removed and cells were allowed to recover. Upon recovery, cells were again treated with the same concentration of chemotherapy for 72 hrs. Drug was again removed and cells were allowed to recover. This process was repeated a total of 15 times in order to generate clinically relevant chemo-resistant cell lines; IC50 drug dose used: cisplatin (0.3 μg/ml), pemetrexed (25 ng/ml), combination of cisplatin + pemetrexed (0.3 μg/ml cisplatin + 25 ng/ml pemetrexed), gemcitabine (2 ng/ml) and vinorelbine (16 nM).

Tumor induction and analysis

A total of 100 μL of serum free media or serum free media containing 5 × 105 parental or chemo-resistant II-45 cells was injected into the pleural cavity of female Fischer rats (n ≥ 4 for each group) approximately 0.5 cm proximal to the 2nd nipple. Rats were euthanized at ethically approved endpoints (weight loss of >10% or difficulty in breathing) and samples collected. Tumors were scored on a scale of 1 to 5 based on volume and infiltration of tumor into the pleural cavity; 1 indicating the tumor occupied up to 10% of the pleural cavity and 5 indicating the tumor occupied 40–50% of the pleural cavity. Tumors were fixed for histopathological examination or immediately frozen in liquid nitrogen and stored at −80°C for gene expression analysis.

In vivo engraftment with chemotherapy treatment

A total of 100 μL of serum free media containing 1 × 106 parental or CisR II-45 cells was injected sub-dermally into the flank of female Fischer rats (n = 2 for each group). On day 3 rats received 2 mg/kg cisplatin intraperitoneally as well as 5 ml saline subcutaneously at the neck. This was repeated on days 14, 21 and 36 (a total of 4 doses). Tumors were measured by calipers (on the same days as dosing) and tumor volume was calculated using the equation (width2/length)/2 = cm3. Rats were euthanized at ethically approved endpoints (tumor size > 13.5 cm3 or weight loss of >10%) and samples collected. Ex-vivo transplants were taken and cultured in standard conditions in the presence of antibiotics (penicillin/streptomycin) and their resistance profiles assessed following the cytotoxicity assays method above.

Histological analyses

Histopathological analysis was performed to confirm and characterize the subtype of mesothelioma. Following euthanasia, pleural tumors (n ≥ 3) were excised immediately and tumor pieces approximately 3 mm thick were fixed in 4% paraformaldehyde overnight at 4°C, then processed and embedded in paraffin. Sections cut 5 μm thick were stained with haematoxylin and eosin (H&E).

Immunohistological analyses

A panel of antibodies commonly used to establish a pathologic diagnosis of mesothelioma was used to characterize rat tumors5,38,47,48. Supplementary table 1 lists the primary antibodies and the optimized conditions for each antibody. Of note, the selection of antibodies recognizing rat antigens is limited and many antibodies used for human studies are not available for rat tissue49. Antigen retrieval was performed in 10 mM Tris/1 mM EDTA pH 9 (with the exception of the Ki67 antibody which was performed in 10 mM citrate buffer pH6) by immersion in a boiling water bath for 20 minutes except for HBME-1 (no retrieval necessary). This was followed by an endogenous peroxidase block using 0.3% H2O2 for 10 minutes. Overnight incubation at 4°C in a Sequenza rack was performed for all primary antibodies. Mouse/rabbit Envision+ was used routinely for detection, followed by 3,3′-Diaminobenzidine (DAB) according to the manufacturer's recommendations. Positive and negative control tissues and isotype reagent controls were included.

Blood and plasma

Blood analysis

A four-color flow cytometry assay was developed using the FACS Calibur Flow cytometer (Becton Dickinson and Company (BD), North Ryde, New South Wales, Australia) and a panel of antibodies (supplementary table 2) to examine changes in leukocyte cell counts as a result of mesothelioma. At endpoint, blood from each rat group (n ≥ 4) was collected in EDTA tubes for immediate analysis. A small sample of EDTA-whole blood (25 μL) was added to True Count tubes (BD) together with 10 μL of anti-rat CD4-FITC, anti-rat CD8a-PE and anti-rat CD45-PE/Cy7 and 20 μL of rat T/B/NK cocktail. Samples were incubated for 15 minutes at room temperature and then lysed using 10 mM Tris and ammonium chloride buffer (pH 7.5). Multiple cell populations were analysed; CD4 positive cells were identified as CD45+/CD3+/CD4+, CD8 positive cells were identified as CD45+/CD3+/CD8+, Natural Killer (NK) cells were identified as CD45+/CD3−/CD161a+ and B cells were identified as CD45+/CD3−/CD45RA+. Absolute numbers of leucocytes (per μL) were determined using the ratio between cellular events and fluorescent bead events using the formula (cell count/25 μL) × (bead count/bead value defined by the manufacturer).

Plasma analysis

Rat EDTA-plasma samples (n ≥ 3 for each group) were analyzed for cytokine levels using the Rat Cytokine 23-plex (Biorad, Gladesville, New South Wales, Australia) following the manufacturer's instructions. Plasma levels for mesothelin and osteopontin were determined using the rat N-ERC/mesothelin (Immuno-Biological Laboratories, Gunma, Japan) and the rat osteopontin (USCN Life Sciences, Houston, Texas, USA) ELISA kits respectively.

Quantitative real time PCR

RNA from snap frozen rat tumors or cells within linear phase was extracted using Trizol and then purified using the RNeasy mini kit according to each manufacturer's instructions.

Drug resistance and metabolism quantitative real time PCR arrays

Following quality analysis and quantification, RNA was reverse transcribed using the RT cDNA synthesis first strand synthesis kit. Quantitative real time PCR was performed using SYBR green and the SABiosciences Drug Resistance and Metabolism PCR Arrays on the Applied Biosystems 7900HT real time PCR system according to the manufacturer's instructions. Three biological replicates were performed for each cell line and tumor sample, and the results were analyzed using the SABiosciences PCR Array Data Analysis Software. Fold changes in each individual gene expression were calculated independently using the 2−delta−delta Ct method after normalizing to a panel of housekeeping genes (Rplp1, Hprt1, Rpl13a, Ldha and Actb).

TaqMan gene expression assays

Individual TaqMan gene expression assays were used to validate selected genes from the PCR array or to investigate genes correlated with chemo-resistance according to the manufacturer's instructions. Three biological replicates were performed for each cell line and tumor sample, and the results were analyzed using the Data Assist Software v3.0. Fold changes in each individual gene expression were calculated independently using the 2−delta−delta Ct method after normalizing to a panel of housekeeping genes (Rplp1, Actb and Gapdh).

Comparative genomic hybridization arrays

Four biological replicates of the parental and combination resistant (cisplatin + pemetrexed) II-45 cell lines were harvested during log phase and DNA was extracted using the DNeasy blood and tissue kit (Qiagen) according to the manufacturer's instructions. Following quality analysis and quantification, comparative genomic hybridization (CGH) was commercially performed for each DNA sample using 4 × 180 K format custom made rat Agilent CGH arrays by the Ramaciotti Gene Analysis Centre, Randwick, NSW, Australia. Additional probes were added to the standard format to increase coverage for genes of interest (Cdkn2a/b, Nf2, Tp53, Bap1 and Egfr). Arrays were normalized using diploid peak (default settings) and aberrations were calculated using the ADM-1 algorithm of the Agilent Genomic Workbench v7 program. For each array, the 4/4 RM.4 cell line was used as a reference and labelled with Cy-3. Samples of interest were labelled with Cy-5.

Statistical analysis

The statistical analysis package GraphPad Prism (v4) was used to perform t-tests, one-way Anova tests or log-rank (Mantel-Cox) Gehan-Breslow-Wilcoxon survival tests, with a p-value of less than 0.05 indicating significance.

Author Contributions

A.L.H. and C.W. conceived and designed the experiments. A.H., C.W., E.M. and R.H. performed the experiments. A.L.H., C.W., E.M. and S.K. analyzed the data. S.K., S.J.C., N.P. and V.M.H. advised on the research and conceived the project. All authors reviewed and revised the manuscript.

Supplementary Material

Supplementary Information

Supplementary information

srep06152-s1.pdf (2.4MB, pdf)

Acknowledgments

We would like to thank A/Prof. Emanuela Felley-Bosco from Zurich University for kindly providing us with the II-45 cell line.

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Supplementary Materials

Supplementary Information

Supplementary information

srep06152-s1.pdf (2.4MB, pdf)

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