Cleo Robinson1,2,3, Ian M Dick4, Michael J Wise5, Andrew Holloway6, Dileepa Diyagama7, Bruce W S Robinson8, Jenette Creaney9, Richard A Lake10. 1. National Centre for Asbestos Related Diseases, School of Medicine and Pharmacology, University of Western Australia, M503, Harry Perkins Institute for Medical Research, QQ Block, QEII Medical Centre, Nedlands, Perth, 6009, Western Australia, Australia. cleo.robinson@health.wa.gov.au. 2. Anatomical Pathology, PathWest Laboratory Medicine, J Block, QEII Medical Centre, Hospital Ave, Nedlands, Perth, 6009, Western Australia, Australia. cleo.robinson@health.wa.gov.au. 3. Present address: Anatomical Pathology, PathWest Laboratory Medicine, J Block, QEII Medical Centre, Hospital Ave, Nedlands, Perth, 6009, Western Australia, Australia. cleo.robinson@health.wa.gov.au. 4. National Centre for Asbestos Related Diseases, School of Medicine and Pharmacology, University of Western Australia, M503, Harry Perkins Institute for Medical Research, QQ Block, QEII Medical Centre, Nedlands, Perth, 6009, Western Australia, Australia. ian.dick@uwa.edu.au. 5. School of Chemistry and Biochemistry, University of Western Australia, Crawley, Perth, 6008, Western Australia, Australia. Michael.wise@uwa.edu.au. 6. Peter MacCallum Institute for Cancer Research, St. Andrew's Place, Melbourne, 3002, Victoria, Australia. andrewholloway1@gmail.com. 7. Peter MacCallum Institute for Cancer Research, St. Andrew's Place, Melbourne, 3002, Victoria, Australia. dileepa.diyagama@petermac.org. 8. National Centre for Asbestos Related Diseases, School of Medicine and Pharmacology, University of Western Australia, M503, Harry Perkins Institute for Medical Research, QQ Block, QEII Medical Centre, Nedlands, Perth, 6009, Western Australia, Australia. bruce.robinson@uwa.edu.au. 9. National Centre for Asbestos Related Diseases, School of Medicine and Pharmacology, University of Western Australia, M503, Harry Perkins Institute for Medical Research, QQ Block, QEII Medical Centre, Nedlands, Perth, 6009, Western Australia, Australia. jenette.creaney@uwa.edu.au. 10. National Centre for Asbestos Related Diseases, School of Medicine and Pharmacology, University of Western Australia, M503, Harry Perkins Institute for Medical Research, QQ Block, QEII Medical Centre, Nedlands, Perth, 6009, Western Australia, Australia. richard.lake@uwa.edu.au.
Abstract
BACKGROUND: The MexTAg transgenic mouse model of mesothelioma replicates many aspects of human mesothelioma, including induction by asbestos, pathogenicity and response to cytotoxic chemotherapy, despite high levels of the SV40 large T Antigen (TAg) in the mesothelial compartment. This model enables analysis of the molecular events associated with asbestos induced mesothelioma and is utilised here to investigate the molecular dynamics of tumours induced in these mice, using gene expression patterns as a read out. METHODS: Gene expression of MexTAg mesothelioma cell lines bearing a high or low number of copies of the TAg transgene were compared to wild type mouse mesotheliomas and normal mouse mesothelial cells using Affymetrix microarray. These data were then compared to a similar published human microarray study using the same platform. RESULTS: The main expression differences between transgenic mouse and wild type mouse mesotheliomas occurred for genes involved in cell cycle regulation and DNA replication, as would be expected from overexpression of the TAg oncogene. Quantitative PCR confirmed that E2F and E2F regulated genes were significantly more upregulated in MexTAg mesotheliomas and MexTAg mesothelial cells compared to wild type mesotheliomas. Like human mesothelioma, both MexTAg and wild type mesotheliomas had more genes underexpressed than overexpressed compared to normal mouse mesothelial cells. Most notably, the cdkn2 locus was deleted in the wild type mouse mesotheliomas, consistent with 80 % human mesotheliomas, however, this region was not deleted in MexTAg mesotheliomas. Regardless of the presence of TAg, all mouse mesotheliomas had a highly concordant set of deregulated genes compared to normal mesothelial cells that overlapped with the deregulated genes between human mesotheliomas and mesothelial cells. CONCLUSIONS: This investigation demonstrates that the MexTAg mesotheliomas are comparable with wild type mouse mesotheliomas in their representation of human mesothelioma at the molecular level, with some key gene expression differences that are attributable to the TAg transgene expression. Of particular note, MexTAg mesothelioma development was not dependent on cdkn2 deletion.
BACKGROUND: The MexTAgtransgenicmouse model of mesothelioma replicates many aspects of humanmesothelioma, including induction by asbestos, pathogenicity and response to cytotoxic chemotherapy, despite high levels of the SV40 large T Antigen (TAg) in the mesothelial compartment. This model enables analysis of the molecular events associated with asbestos induced mesothelioma and is utilised here to investigate the molecular dynamics of tumours induced in these mice, using gene expression patterns as a read out. METHODS: Gene expression of MexTAgmesothelioma cell lines bearing a high or low number of copies of the TAg transgene were compared to wild type mousemesotheliomas and normal mouse mesothelial cells using Affymetrix microarray. These data were then compared to a similar published human microarray study using the same platform. RESULTS: The main expression differences between transgenicmouse and wild type mousemesotheliomas occurred for genes involved in cell cycle regulation and DNA replication, as would be expected from overexpression of the TAg oncogene. Quantitative PCR confirmed that E2F and E2F regulated genes were significantly more upregulated in MexTAgmesotheliomas and MexTAg mesothelial cells compared to wild type mesotheliomas. Like humanmesothelioma, both MexTAg and wild type mesotheliomas had more genes underexpressed than overexpressed compared to normal mouse mesothelial cells. Most notably, the cdkn2 locus was deleted in the wild type mousemesotheliomas, consistent with 80 % humanmesotheliomas, however, this region was not deleted in MexTAgmesotheliomas. Regardless of the presence of TAg, all mousemesotheliomas had a highly concordant set of deregulated genes compared to normal mesothelial cells that overlapped with the deregulated genes between humanmesotheliomas and mesothelial cells. CONCLUSIONS: This investigation demonstrates that the MexTAgmesotheliomas are comparable with wild type mousemesotheliomas in their representation of humanmesothelioma at the molecular level, with some key gene expression differences that are attributable to the TAg transgene expression. Of particular note, MexTAgmesothelioma development was not dependent on cdkn2 deletion.
Malignant mesothelioma is an aggressive tumour arising from the mesothelial cells lining the pleura, peritoneum or pericardium. The principal carcinogen associated with malignant mesothelioma is asbestos and several epidemiological data sets and clinical evidence have confirmed its carcinogenic properties [1]. This tumour is a major problem due to its increasing incidence and the lack of effective treatments [2, 3]. Asbestos induces a similar tumour in mice to that seen in humans [4]. This has enabled the transplantation of asbestos-induced mesothelioma into syngeneic mice and has provided useful preclinical information that has guided novel clinical trials [5]. However such models rely on transplantation of clonal tumour cell lines rather than tumours being induced in situ by asbestos. These models also suffer from a lack of accurate molecular definition, restricting our capacity to study molecularly targeted therapies [1].To overcome these limitations we created a murinemesothelioma model in which mesothelioma is reliably induced by the natural carcinogen, asbestos. We achieved this by generating transgenic mice in which the Simian Virus 40 (SV40) large T antigen (TAg) is expressed under the control of the tissue specific mesothelin promoter [6]. In this system, mesothelioma rapidly and reproducibly develops in the peritoneum after instillation of asbestos [7]. Thus, the model represents an anatomically relevant location for mesothelioma and its emergence from mesothelial cells, as well as tumour induction by the known carcinogen. This presented an ideal opportunity to analyse the molecular events associated with asbestos induced mesothelioma. We therefore utilised this system to analyse the molecular dynamics of tumours arising in mice following asbestos exposure, using gene expression patterns as a readout.At a molecular level mesothelioma is characterised by genetic loss and loss of function of tumour suppressor genes; most commonly cdkn2a and b (encoding p16, p15 and p14 cyclin dependent kinase inhibitor genes); NF2 (neurofibromatosis gene), BAP-1 (BRAC-1 associated protein, an ubiquitase) and LATS-2 [8-10]. Mutations in the tumour suppressors p53 and retinoblastoma (RB) family and the oncogenic ras family occur at a considerably lower frequency in mesothelioma compared to other cancer types [11].SV40 has been utilized to generate transgenicmurine models of various cancer types. In most cases the early coding region of SV40 is targeted to the cell type of interest using a specific promoter, for example the RIP-TAG model of pancreatic cancer uses the rat insulin promoter and the TRAMP model of prostate cancer uses the probasin promoter [12-14]. Malignant transformation in these mice results primarily from the inactivation of the tumour suppressors p53 and RB following binding to TAg [15]. The loss of p53 function makes cells less susceptible to apoptosis [16]. Inactivation of RB results in the activation of the E2F family of transcription factors that induce cell cycle-promoting genes [17]. In the majority of SV40 TAg cancer models, mice develop tumours as they age, for example 100 % of TRAMPmice develop poorly differentiated pancreatic adenocarcinomas by 24 weeks of age [13]. Furthermore, in TRAMPmice the mutation rate is much lower than for carcinogen-induced tumours [18]. Not only does the MexTAg model of mesothelioma development have a strict requirement for the relevant carcinogen, asbestos but a key distinction from other transgenicmesothelioma models, is that interfering spontaneous tumours do not develop in the peritoneum or pleura in the absence of the carcinogen [19].Three MexTAgmouse lines were developed with different copy numbers of the TAg transgene inserted into the mouse genome [7]. The lines, denoted high TAg (hiTAg), intermediate TAg (intTAg) and single TAg (sTAg) have 100, 32 or single copy of the TAg transgene, respectively. All of the high copy MexTAgmice rapidly develop mesothelioma after asbestos exposure compared to approximately 20–30 % of wild-type mice which develop mesothelioma over a much longer time span [7]. The rate of mesothelioma development is TAg dose dependent: intTAgMexTAgmice have a slower rate than hiTAg mice and the single copy sTAg MexTAgmice have a similar rate to that of wild type mice, and incidence was found to be 90 and 83 % in intTAg and sTAg mice respectively [7]. However, the time to progression after diagnosis is similar between the four models [20]. This suggests that TAg has a role in disease initiation, but that the further development of the mesothelioma is not affected by the presence of TAg. Indeed, MexTAgmesotheliomas respond to cytotoxic chemotherapy in the same way as wild-type mice and patients with mesotheliomas [20].This study was undertaken to investigate the gene expression differences between wild type and TAg expressing mousemesotheliomas, to examine the relationship between these models and with humanmesothelioma, and in the process to identify gene expression patterns that might be informative of the underlying biology of this tumour.
Methods
Mice
Experimental mice were housed in an approved facility, under Animal Ethics Committee approved conditions. Breeding colonies of MexTAgtransgenic mice were maintained at The Biomedical Research Facility, University of Western Australia, Perth. Three MexTAg lines were used; the MexTAg 299 h line which has 100 copies of the TAg transgene (hiTAg); the MexTAg 304i line with 32 copies of the transgene (intTAg); and MexTAg 266 s with a single copy (sTAg) [7]. The genotype of each mouse was confirmed by PCR with DNA from murine tails as described previously [7]. C57Bl/6 J wild type mice were purchased from Animal Resources Centre, Perth WA. All animal work was carried out under NHMRC guidelines and with approval from the University of Western Australia Animal Ethics Committee.
Cell lines
For summary of cell line nomenclature, refer to Table 1.
Table 1
Cell line and tumour sample nomenclature and information
Nomenclature
Mouse type
Cell line
TAg copy
No. cell lines arrayed
Median passage No. (range)
WTtu
C57Bl/6 J
Wild type mesothelioma
None
6
5.5 (3–8)
WTn
C57Bl/6 J
Normal mesothelial cells
None
2
3.5 (3–4)
sTAgtu
MexTAg transgenic
TAg mesothelioma
Single copy
3
3 (2–6)
intTAgtu
MexTAg transgenic
TAg mesothelioma
Intermediate copy (32)
3
2 (2–4)
loTAgtua
MexTAg transgenic
TAg mesothelioma
Combined single and intermediate copy tumour samples
(6)
As above 2 rows
hiTAgtu
MexTAg transgenic
TAg mesothelioma
High copy (100)
6
3 (3–4)
hiTAgn
MexTAg transgenic
Normal TAg mesothelial cells
High copy (100)
2
3 (3–4)
Htub
Human
Primary tissue
-
5 cases
n/a
Hnb
Human
Non malignant tissue
-
6 cases
n/a
Footnotes
n indicates normal mesothelial cells, tu indicates a malignant mesothelioma cell line
adata set is a combination of sTAGtu and intTAgtu, therefore not in cluster analysis (see Results section)
bRoe et al. [22]
Cell line and tumour sample nomenclature and informationFootnotesn indicates normal mesothelial cells, tu indicates a malignant mesothelioma cell lineadata set is a combination of sTAGtu and intTAgtu, therefore not in cluster analysis (see Results section)bRoe et al. [22]
Normal mesothelial cell preparation
Peritoneum of wild type C57Bl/6 J mice or TAgtransgenic mice were surgically resected and aseptically cut into small pieces. Mesothelial cells were removed from peritoneum by incubating in 5 ml trypsin (0.25 % in EDTA buffer; Gibco) for 30 min at 37 °C, with gentle agitation. The peritoneum was then discarded and cells were pelleted and cultured in tissue culture flasks in RPMI 1640 medium containing 10 % FCS (Invitrogen), supplemented with 100 U/mL penicillin, 100 μg/mL streptomycin, 2 mM L-glutamine (Gibco). Cells were passaged 2 or 3 times at a ratio of 1:2 or 1:3 prior to preparation of the RNA for the array.
Mouse mesothelioma cell preparation
Mice were injected with 6 mg of asbestos (IUCC reference sample of Wittenoom Gorge crocidolite) intraperitoneally and euthanized when symptoms of disease were evident, as described previously [7]. At endpoint mice were euthanized and ascites fluid was collected under sterile conditions. Ascites fluid was placed in tissue culture flasks with 10× volume of RPMI (Life Technologies) supplemented with 10 % FCS (Invitrogen, Life Technologies), under 5 % CO2 and 95 % humidity. Cell lines were characterised and confirmed to be mesothelioma by electron microscopy, carried out at Anatomical Pathology, PathWest Laboratory Medicine, QEII Medical Centre, Perth WA. Cells were passaged as required.
Microarray sample preparation and hybridization
Microarray experiments were performed at the Peter MacCallum Cancer Centre, East Melbourne, Australia). Total RNA was extracted from cells at low passage number, as described in Table 1, using TRIZOL reagent (Life Technologies) and further purified by column chromatography using a Qiagen RNeasy spin column (Qiagen). RNA quality and quantity was confirmed using the Agilent 2100 Bioanalyzer and the RNA 6000 Nano Assay kit (Agilent Biotechnologies, Palo Alto, CA). RNA was profiled according to the manufacturer’s protocols on Affymetrix Mouse Genome 430 V2 GeneChips (Affymetrix, Santa Clara CA), which cover approximately 39,000 transcripts. Data was extracted and processed using GeneChip Operating Software (Affymetrix) and gene expression data (*.cel files) were loaded into ‘R’ statistical package [21]. All of the resulting gene expression data (*.cel files) were retained after expression quality was analysed using the QCReport function from the affyQCReport library.
Human microarray data
Microarray expression data for humanmesothelioma was previously described by Roe et al., [22] and E-MTAB-47 data set available from the ArrayExpress http://www.ebi.ac.uk/arrayexpress/ database. Briefly, Affymetrix Human Genome U133 Plus 2.0 GeneChip data was available for 5 mesotheliomapatients and normal parietal and visceral pleural samples from six non-cancerpatients. There were 18 samples from 11 patients. One was rejected on the grounds of quality control, based on data from the R function QCReport and fitPLM, suggestive of hybridisation anomalies. Of the remaining 17 experiments, 6 are mesothelioma samples and 11 are controls.
Microarray data analysis
The raw probe set intensities were normalised by the GC robust multi-array average function (gcrma). Data were clustered using the program Cluster and visualised using the program TreeView. Differential gene expression between groups was determined using the makeContrasts and contrasts.fit functions from the linear models for microarray data (limma) package, with the empirical Bayes function eBayes used to assess the significance and Benjamini and Hochberg False Discovery Rate corrected p-values reported. A p-value ≤ 0.05 was considered significant. Probe lists were collapsed to gene lists using a Python program based on the annotation files for the Human Genome U133 Plus 2.0 GeneChip provided by Affymetrix (Release 33), with the gene assumed to be represented by the most significant probe. Lists of significant genes were tested for over representation in KEGG pathways [23, 24]. P-values were corrected for multiple comparisons and pathways exhibiting corrected P-values of less than 0.05 were considered significant. Murine genes were mapped to their human homologues using a purpose written Python program using data from the database, HOM_AllOrganism.rpt, available from the Jackson Laboratory (ftp://ftp.informatics.jax.org/pub/reports/HOM_All Organism.rpt). The raw probe set intensities were normalised by the GC robust multi-array average function (gcrma) of the linear models for microarray data (Limma) package [25]. The Limma volcano plot function was used to plot log-fold change of individual probe-sets versus log-odds of the differential expression calculated above between the groups.Array data can be accessed through ArrayExpress accession number: E-MTAB-3988.
PCR
RNA was extracted from 1 × 107 cultured cells or 100 mg mouse tissues using TRIZOL reagent (Invitrogen) according to manufacturer’s instructions. 5 μg RNA was reverse transcribed into cDNA using Omniscript (Qiagen) according to manufacturer’s instructions. PCR was performed with cDNA using forward and reverse primers as described in Additional file 1: Table S1, using optimised conditions based on the following: 95 °C 5mins, 35 cycles of 95 °C, 60 °C, 72 °C for 30 s at each temperature, followed by a final extension of 5 mins at 72 °C. Relative amounts of the transcripts were normalised to GAPDH transcript in the same cDNA samples.
Results
Hierarchical clustering by gene expression segregate MexTAg and wild type mesothelioma
Mesotheliomas were induced in MexTAgtransgenic and wild type mice by asbestos instillation into the peritoneum as described previously [7]. Cell lines were generated from the ascites of individual mice and gene expression profiling was carried out on early passage cells. Non-malignant mesothelial cell cultures were also analysed. Details and nomenclature of samples is summarized in Table 1. Unsupervised hierarchical clustering analysis was performed using the entire gene set of expression profiles for a total of 22 samples. The resultant dendrogram shows that the first division separates normal mesothelial cells derived from wild type mice from the wild type mesotheliomas and all samples from TAgtransgenic mice (Fig. 1a).
Fig. 1
a Dendrogram depicting unsupervised clustering of array data for 6 WTtu, 6 hiTAgtu, 3 intTAgtu and 3 sTAgtu together with 2 samples from normal mesothelial cells from wild type mice (WTn) and 2 from high copy MexTAg mice (hiTAgn). b Expression of the top 20 most significantly overexpressed genes in a comparison hiTAgtu and WTtu, in WTtu, hiTAgtu and loTAgtu samples
a Dendrogram depicting unsupervised clustering of array data for 6 WTtu, 6 hiTAgtu, 3 intTAgtu and 3 sTAgtu together with 2 samples from normal mesothelial cells from wild type mice (WTn) and 2 from high copy MexTAgmice (hiTAgn). b Expression of the top 20 most significantly overexpressed genes in a comparison hiTAgtu and WTtu, in WTtu, hiTAgtu and loTAgtu samplesOne sample from an intermediate TAg copy number MexTAgtumour cell line (denoted intTAgtu) appeared to be an outlier because it segregated with normal mesothelial cells. However, the large difference in height of the dendrogram arms at the point of segregation for these samples, indicates they have substantially different expression patterns.The second major division separates both non-malignant mesothelial cells and mesotheliomas from high copy transgenicmouse (hiTAgn and hiTAgtu) from the wild type (WTtu), single TAg (sTAgtu) and intermediate TAg (intTAgtu) tumors. Furthermore, two of the three single copy TAg tumours branched more closely with wild type tumour than with the intermediate copy TAg tumours. This suggests that for high copy MexTAgmice, high TAg expression imparts a stronger influence on gene expression than malignancy.The intermediate and single copy TAg tumours each had only 3 independent profiles, compared to the 6 hiTAgtu arrays. Therefore we investigated the validity of combining expression patterns of these samples in the context of gene expression differences versus wild type normal mesothelial cells (WTn). We found that 2846 probes were differentially expressed in the single TAg experiment versus WTn, and 2899 probes were differentially expressed in the intermediate TAgtu experiments versus WTn, but there was an overlap of 2087 probes. This amounted to 73 and 75 % for sTAgtu_versus WTn and intTAgtu versus WTn, respectively. This supports the notion that combining sTAgtu and intTAgtu samples, to form a common study set is justified. This is denoted loTAgtu and consists of 6 samples.
HiTAg mesotheliomas have higher expression of cell cycle regulatory genes compared to wild type mesotheliomas
Comparing the hiTAgtu and WTtu samples, 714 genes were differentially expressed (adjusted p value < 0.05). Of these 465 were overexpressed and 245 genes were underexpressed (hiTAgtu:WTtu, Additional file 2: Table S2). Cyclin dependent kinase inhibitor 2a and 2b (CdkN2a and 2b), p107 and N-ras were all significantly over-expressed in TAg tumours relative to wild type tumours. In the loTAg tumours expression of the top 20 of these overexpressed genes were at levels intermediate between hiTAg and WT tumours (Fig. 1b).Pathway enrichment analysis [24] suggested that differentially expressed genes were associated with cell cycle control and DNA replication, which could be a direct result of the TAg oncogene interaction with cell cycle regulatory proteins (Table 2) Of note, there was enrichment for the MAPK signaling pathway, several genes in the pathway were overexpressed in hiTAgtu but these did not include any of the MAP kinases themselves. Thus suggesting a pathway more favoured by the TAg tumours.
Table 2
Pathway enrichment analysis for differentially expressed genes between hiTAgtu and WTtu
Pathway
p-value
G1 to S cell cycle control
3.27E-09
Cell cycle
6.93E–08
mRNA processing
9.94E–08
MAPK signalling pathway
1.39E–06
DNA Replication
1.49E–06
Cytoplasmic Ribosomal Proteins
6.98E–05
One carbon metabolism and related
8.94E–04
Protein–protein interactions in the podocyte
0.001066
Pathway enrichment analysis for differentially expressed genes between hiTAgtu and WTtu
Differentially expressed genes are more associated with underexpression in asbestos-induced mouse mesotheliomas compared to normal mesothelial cells, regardless of large T Antigen expression
Volcano plots were used to illustrate the expression differences of all probes on the array between all three asbestos-induced mesothelioma tumour types and wild type normal mesothelial cells (Fig. 2a, b, c). A similar pattern of over and under expression of probes is seen for each comparison, with a higher number of probes underexpressed than overexpressed in each case. The level of over and under expression is also within a similar range for each comparison. Comparing probe set differences between hiTAgtu and loTAgtu, revealed far less variation in fold change and there was an equal distribution of under and overexpressed probes (Fig. 2d).
Fig. 2
Volcano plots of log-fold change versus log-odds of the differential probe-set expression showing comparative expression levels between sample groups. a WTtu and WTn (b) hiTAgtu and WTn, (c) loTAgtu and WTn and (d) loTAgtu and HiTAgtu
Volcano plots of log-fold change versus log-odds of the differential probe-set expression showing comparative expression levels between sample groups. a WTtu and WTn (b) hiTAgtu and WTn, (c) loTAgtu and WTn and (d) loTAgtu and HiTAgtuNext we looked at the genes that were differentially expressed between each tumour set (ie. tumours generated in wild-type, low or high copy TAgtransgenic mice) and normal mesothelial cells, and again found a greater number of genes underexpressed than were overexpressed when compared to normal mesothelial cells.There were 2203 genes differentially expressed between the asbestos induced wild type tumours (WTtu) and normal mesothelial cells (WTn); 966 genes were significantly overexpressed and 1236 were underexpressed in the WTtu. Cdkn2a (encoding p16) was one of the most significantly under-expressed genes. There was no difference in expression between WTtu and WTn for three other genes commonly deleted in humanmesothelioma: Nf2, Bap1 and Lats2. However, as the frequency of deletion of these genes is around 20–50 % of humanmesotheliomas, we would not logically expect to find a deletion in the sample size of 6 tumours used in this study.A comparison of the MexTAgmesotheliomas with normal mesothelial cells from wild type mice (WTn), gave a similar number of genes with expression differences: 2985 genes were differentially expressed between high copy MexTAg tumours (hiTAgtu) and normal mesothelial cells from wild type mouse (WTn) tumours; 1364 genes were overexpressed and 1621 underexpressed.In a comparison between low copy MexTAg tumours (loTAgtu) and WTn samples, 3126 genes were differentially expressed. Of these, 1301 genes were overexpressed and 1825 genes underexpressed.
A common set of genes is differentially expressed in asbestos-induced tumours compared to normal mesothelial cells
Comparison of the genes that were differentially expressed between asbestos induced tumours in either wild type or high copy SV40TAgtransgenic mice and normal mesothelial cells revealed that over 80 % of the genes were common to both models (Fig. 3a). A similar overlap was observed comparing the gene lists differentially expressed between the wild-type tumours and the loTAg tumours (Fig. 3b). The top 20 most significantly differentially expressed genes for each comparison was highly concordant (Table 3). Genes commonly differentially expressed in the asbestos-induced tumours included known cancer and mesothelioma associated genes such as the Aurora kinases A and B, survivin, BRCA1, thymidine kinase, thymidylate synthase, eight members of the mini-chromosome maintenance protein family and topoisomerase 2 alpha (Additional file 3: Table S3). Pathway analysis revealed significant enrichment in these common sets of genes for the DNA replication and cell cycle control pathways (Table 4).
Fig. 3
Proportional Venn diagram indicating the number of genes that are common to both sets of differentially expressed gene comparisons (a) HiTAgtu_WTn and WTtu_WTn, (b) loTAgtu_WTn and WTtu_WTn
Table 3
Top 20 genes most significantly differentially expressed in each tumour sample set compared to wild type normal mesothelial cells
hiTAgtu_WTn
WTtu_WTn
loTAgtu_WTn
Description
1
Kcna1
Kcna1
Kcna1
Potassium voltage-gated channel, shaker-related subfamily, member 1
2
Prl3a1
Prl3a1
Prl3a1
Prolactin family 3, subfamily a, member 1
3
Kcnc4
Kcnc4
Kcnc4
Potassium voltage gated channel, Shaw-related subfamily, member 4
Top 10 significantly enriched pathways found in genes commonly differentially expressed between WTtu_WTn and i) hiTAgtu_WTn or ii) loTAgtu_WTn
Pathway
i) hiTAgtu and WTtu
ii) loTAgtu and WTtu
p-value
p-value
Cell cycle
0.0
0.0
G1 to S cell cycle control
0.0
0.0
DNA replication
1.760E–29
0.0
Mismatch repair
3.287E–9
1.59E–09
Homologous recombination
2.520E–6
4.66E–05
Purine metabolism
1.287E–5
0.005
mRNA processing
3.887E–5
6.08E–06
Hedgehog signaling pathway
6.695E–4
0.005
Complement activation, classical pathway
0.002
0.003
Nucleotide metabolism
0.004
0.003
Proportional Venn diagram indicating the number of genes that are common to both sets of differentially expressed gene comparisons (a) HiTAgtu_WTn and WTtu_WTn, (b) loTAgtu_WTn and WTtu_WTnTop 20 genes most significantly differentially expressed in each tumour sample set compared to wild type normal mesothelial cellsTop 10 significantly enriched pathways found in genes commonly differentially expressed between WTtu_WTn and i) hiTAgtu_WTn or ii) loTAgtu_WTn
P16, but not other genes commonly deleted in human mesothelioma, is deleted in the wild type mesotheliomas but not in the hiTAg mesotheliomas
It was noted earlier that p16 expression levels were higher in TAg tumours and TAg mesothelial cells compared to wild type mesotheliomas, due to deletion of the cdkN2A locus in the latter samples. Thus the expression of the other genes commonly deleted in humanmesothelioma, NF2, BAP1 and LATS2 was investigated. However, these three genes were found at similar levels in all three mousetumour models as well as the normal mesothelial cell lines from wild-type or transgenic mice (Fig. 4). In addition, the expression of Rb was not significantly different between the TAgtransgenic and wild-type mouse samples: even though TAg is known to bind and inactivate the RB tumour suppressor gene, this regulation principally occurs by phosphorylation, rather than changes in expression levels. No difference in expression level of a non-TAg targeted or mesothelioma specific cyclin dependent kinase inhibitor, p21, was observed across the sample set.
Fig. 4
Relative mRNA expression of genes commonly deleted in human mesothelioma in mouse mesotheliomas as indicated. Genes investigated were, NF2, BAP1, p16 and LATS2 and RB (inhibited by Sv40 TAg) and the cyclin dependent inhibitor p21, which has not been reported to be dysregulated in mesothelioma
Relative mRNA expression of genes commonly deleted in humanmesothelioma in mousemesotheliomas as indicated. Genes investigated were, NF2, BAP1, p16 and LATS2 and RB (inhibited by Sv40TAg) and the cyclin dependent inhibitor p21, which has not been reported to be dysregulated in mesothelioma
E2F targets are overexpressed in TAg tumours and TAg mesothelial cells compared to wild type counterparts
The Rb family of proteins influence cell proliferation principally through the actions of the E2F family of transcription factors [17]. Thus, as TAg is known to inhibit and bind Rb and RB family proteins [15], the effect of TAg expression on E2f and E2f targets, was investigated. Seven of the eight E2f targets examined had increased expression levels in the normal mesothelial cells from TAgtransgenic mice compared to those from wild-type mice (Fig. 5). Whilst not significant there was also a trend for E2f levels to be increased in normal mesothelial cells from TAgtransgenic mice relative to wild type.
Fig. 5
Expression of E2F and E2F regulated genes in WT and MexTAg mesotheliomas and normal mesothelial samples derived from wild type or transgenic mice. Validation quantitative PCRs were carried out using primers described in Methods and genes investigated are as indicated above each graph
Expression of E2F and E2F regulated genes in WT and MexTAgmesotheliomas and normal mesothelial samples derived from wild type or transgenic mice. Validation quantitative PCRs were carried out using primers described in Methods and genes investigated are as indicated above each graphCell cycle pathway genes E2f, Rbl1 (p107), Ccne1 (cyclin E) and cdk2, and DNA synthesis and replication pathway genes, PCNA (proliferating cell nuclear antigen) and DHFR (dihydrofolate reductase) had significantly higher expression in the hiTAgtu samples compared to WTtu (Fig. 5). However, thymidylate synthase (Tyms) and thymidine kinase (TK1) were not significantly different between TAg positive and WT tumours.
The three mouse mesothelioma models deregulate a common set of genes that is also deregulated in human mesothelioma
A comparison of humanmesothelioma with normal human mesothelial cells of the pleura found 1809 differentially expressed genes (Additional file 4: Table S4). Of these, 1106 were overexpressed and 703 were underexpressed. Genes involved in cell cycle, mitosis, replication, DNA repair and anti-apoptosis were overexpressed. However, in this sample set there was no difference in the expression of p16, NF2, BAP1 or LATS2.Of the genes in the list of 1809 differentially expressed humanmesothelioma genes, 1645 had mouse orthologs. A comparison of the 2203 differentially expressed genes in mesotheliomas from wild type mice versus wild type normal, with this 1645 gene set, found 284 common genes (Fig. 6). Of these 284 wild type mouse to humanmesothelioma common genes, 91 % were also in the hiTAgtu to human overlap and 90 % were in the loTAgtu to human overlap (Fig. 6). There were 211 genes significantly differentially expressed common to all 3 mouse models (Additional file 5: Table S5). These 211 genes have functional roles in cell cycle pathway, DNA replication, G1-S phase transition and homologous recombination (Table 5, Additional file 5: Table S5). Gene expression differences identified in the MexTAg cell lines had a greater level of overlap with the differentially expressed genes expression in humanmesotheliomas, versus their respective (wild type) normal mesothelial cells: 374 genes for the loTAgtu and 359 genes for the hiTAgtu experiments.
Fig. 6
Differentially expressed genes in common between human and mouse mesotheliomas compared to their mesothelial counterpart. Figure shows a proportional Venn diagram indicating the number of overlapping genes that are commonly differentially expressed in each of the three tumour sets, as labeled, compared to the human mesothelioma-human mesothelial differential set (Htu_Hn)
Table 5
Significantly enriched pathways between mouse and human mesotheliomas
Pathway
p value
Cell_cycle
0
DNA_Replication
3.056866E–11
G1_to_S_cell_cycle_control
2.3044033E–5
Homologous_recombination
7.0286414E–4
Differentially expressed genes in common between human and mousemesotheliomas compared to their mesothelial counterpart. Figure shows a proportional Venn diagram indicating the number of overlapping genes that are commonly differentially expressed in each of the three tumour sets, as labeled, compared to the humanmesothelioma-human mesothelial differential set (Htu_Hn)Significantly enriched pathways between mouse and humanmesotheliomas
Discussion
We have previously demonstrated that the pathogenesis of mesothelioma in MexTAgtransgenic mice exposed to asbestos closely replicates humanmesothelioma and it is probably the same disease [19, 20]. While there are a number of other mouse models of mesothelioma available, including transplantation and genetically engineered models, these have a number of disadvantages that render them less suitable as a model or for a molecular study such as this one. Transplantation models are typically in an anatomically irrelevant site making them less suitable for testing novel therapies. A number of genetically engineered models have been generated, such as the Nf2 or p16 knock out mice and Nf2.p53 hemizygous mice [19]. These mice do develop mesothelioma after asbestos exposure, but they are hindered by spontaneous growth of other tumour types. That the MexTAg model is absolutely dependent on asbestos for disease induction and that mesotheliomas are the only cancer to develop, makes this system unique amongst cancer models.In the current study we showed that the introduction of approximately 100 copies of large TAg into murine mesothelial cells induces a change in the pattern of overall gene expression that sees derived cell lines cluster with the malignant rather than benign mesothelial cells. Such transgenic mesothelial cells exhibit some transformed properties [7] and are able to grow when transplanted into syngeneic mice (unpublished data, [26]. The segregation of mesotheliomatumour cell lines from transgenic mice with low or intermediate numbers of the transgene (loTAgtu and sTAgtu) more closely with mesotheliomas from wild type mice (WTtu) than those that develop in the high copy MexTAgmice (hiTAgtu), suggests the molecular differences caused by the presence of TAg are minor in comparison with the molecular changes that occur as a result of tumorigenesis.A comparison of the wild type and TAgtransgenic tumours showed that a common set of around 1800 genes were differentially expressed compared to wild type normal mesothelial cells, regardless of TAg copy number. However, the magnitude of difference in gene expression levels was directly related to the TAg burden, suggesting a TAg dose dependent affect. This is consistent with the TAg dose dependent rate of induction of mesothelioma by asbestos [7]. The differentially expressed genes we identified are known to be involved in DNA replication and cell cycle control, which could reflect either the increased proliferation rate of tumours or a shared pathway of gene expression changes that occur during tumourigenesis. However, to our knowledge, this is the first study to compare gene expression in a SV40TAgmurinecancer model with the same carcinogen induced tumour in both wild type mice and humans. Previous studies of SV40TAgmurinecancer models have typically compared gene expression differences with the humancancer counterpart alone. Thus this is a unique study, enabled by the properties of the model itself.In all six of the wild type mousemesotheliomas examined p16 was not expressed (above background levels). This is reflective of humanmesothelioma whereby deletion of the cdkn2 locus on chromosome 9p21.3 encoding the cyclin dependent kinase inhibitors p16 and p15 is common (up to 80 % of mesothelioma cases) and is thought to be a primary driver of mesothelioma development. Loss of p16 leads to an inability of the cell to phosphorylate RB and activation of the E2F family of transcription factors and increased cell proliferation. Of note, p16 was expressed in all the MexTAg cell lines to a similar level seen in normal wild type mesothelial cells. However, no obvious changes in expression of other genes frequently altered in humanmesothelioma such as NF2 and BAP1 was observed in MexTAg tumours. Consistent with the known mechanisms through which TAg exerts its oncogenic effect, TAg expressing cell lines had significantly altered expression of genes downstream of the tumour suppressors p53 and Rb family, including E2F and E2F regulated genes. Thus implying the changes in gene expression observed in the TAg positive mesotheliomas mimic deletion of p16.For mesotheliomas to develop in MexTAgmice the addition of asbestos is essential. The similarities of MexTAgmesotheliomas at both molecular and functional levels with WTmousemesotheliomas and their lack of dependence on deletion of p16, suggests that additional, as yet unidentified, genetic changes are required downstream of p16 loss for mesothelioma development. This may be reflective of the multi-step hypothesis of tumour development, for example, where a pattern of hyperplasia, then dysplasia occurs before tumour formation. This hypothesis may explain why tumours develop more rapidly following asbestos exposure in TAg expressing compared to wild type mice and why the rate and incidence of tumour development reflects the TAg transgene dose. Also such a hypothesis explains why there is no difference in the rate or pattern of tumour progression seen between MexTAg and wild type mesothelioma [20].We made a comparison with a human data set that was selected because it had been analysed on the same platform as our mouse data. Although this comparison was not optimal, due to a number of features, including the fact that pleural as opposed to peritoneal mesotheliomas were compared, it did demonstrate that each of the 3 mouse models had almost identical gene differences in common with the human study. Thus, wild type and TAgtransgenicmouse systems could be considered equally good representations of humanmesothelioma. Given that the molecular consequences of TAg oncogene expression are well understood, together with our finding that TAg causes the predictable changes in the MexTAg tumours, the model can be reliably used experimentally to represent human disease, keeping TAg effects in mind.Some of the differentially expressed genes of interest identified in the human study were also identified as genes of interest in our mouse study, for example thymidylate synthase and some of the tumour suppressor genes. Furthermore, we found that the same pathways were significantly altered in both species: including cell cycle regulation, mitosis, DNA repair and apoptosis. Thus, suggesting strong concordance of mesothelioma development across species, to some extent irrespective of TAg expression.Of note, the MAP kinase pathway was significantly upregulated in the hiTAg mousemesotheliomas compared to the wild type mousemesotheliomas, and consistent with this the ras oncogene was also overexpressed in the TAg tumours. While this could be a consequence of large T antigen, activation of this particular cell signalling cascade, has previously been associated with mesothelioma [27]. However, mutations in MAP kinase pathway genes, including RAS and PIK3CA are very rare in humanmesothelioma [28].Broad heterogeneity amongst humantumours is well known and has been aligned with prognosis and response to treatment. However, the steps in tumourigenesis that lead to this heterogeneity are only beginning to be understood and could be a result of germline mutations, somatic mutations, carcinogen exposure as well as environmental and dietary factors. Thus, the heterogeneity amongst experimental mousetumours would be expected to be somewhat less, due to their homogenous genetic background and tightly regulated environment and dietary intake. Despite this, heterogeneity is still evident in mousetumour models that are carcinogen or mutation induced [29, 30]. Individual tumours arising from the same tumour cell line transplanted into a group of mice, have related, but distinct gene expression patterns [31]. Moreover, heterogeneity occurs within the same tumour tissue [32].In this study the method of induction was through a standardised asbestos instillation and although there are some significant differences in gene expression between the TAg and non-TAgmesotheliomas, this is consistent with differences found between cancers developing in models not involving a foreign oncogene. Thus, the MexTAg system can be used to further investigate mesothelioma development at the molecular level, taking into account the known effects of TAg and the findings described here.
Conclusion
Consistent with our previous observation that the pathogenesis of MexTAgmesothelioma development closely resembles humanmesothelioma development, the data presented here further validate the use of the MexTAg model for investigating mesothelioma. In the context of the existence of heterogeneity amongst individual tumours arising from the same tumorigeneic process, we consider the molecular differences described here between the transgenic and the wild type mesotheliomas as small. Furthermore, the differences we identified follow a pattern that is predictable given the presence of the well-studied SV40 large T Antigen. The finding that MexTAg tumours are not reliant on deletion of the cdkN2 locus, suggests that this model could be useful in further investigations of the sequence of molecular events leading to mesothelioma after asbestos exposure.
Authors: A De Luca; A Baldi; V Esposito; C M Howard; L Bagella; P Rizzo; M Caputi; H I Pass; G G Giordano; F Baldi; M Carbone; A Giordano Journal: Nat Med Date: 1997-08 Impact factor: 53.440
Authors: Sophie Sneddon; Ann-Marie Patch; Ian M Dick; Stephen Kazakoff; John V Pearson; Nicola Waddell; Richard J N Allcock; Robert A Holt; Bruce W S Robinson; Jenette Creaney Journal: BMC Cancer Date: 2017-06-02 Impact factor: 4.430
Authors: Scott A Fisher; Carolyn J Peddle-McIntyre; Kimberley Burton; Robert U Newton; Elly Marcq; Richard A Lake; Anna K Nowak Journal: BMC Res Notes Date: 2020-09-15