Abstract
Malignant mesothelioma (MM) is an aggressive tumor with a poor prognosis mainly linked to past asbestos exposure. Murine models of MM based on fiber exposure have been developed to elucidate the mechanism of mesothelioma formation. Genomic alterations in murine MM have now been partially characterized. To gain insight into the pathophysiology of mesothelioma, 16 murine and 35 human mesotheliomas were characterized by array-comparative genomic hybridization and were screened for common genomic alterations. Alteration of the 9p21 human region, often by biallelic deletion, was the most frequent alteration in both species, in agreement with the CDKN2A/CDKN2B locus deletion in human disease and murine models. Other shared aberrations were losses of 1p36.3–p35 and 13q14–q33 and gains of 5p15.3–p13 regions. However, some differences were noted, such as absence of recurrent alterations in mouse regions corresponding to human chromosome 22. Comparison between altered recurrent regions in asbestos-exposed and non–asbestos-exposed patients showed a significant difference in the 14q11.2–q21 region, which was also lost in fiber-induced murine mesothelioma. A correlation was also demonstrated between genomic instability and tumorigenicity of human mesothelioma xenografts in nude mice. Overall, these data show similarities between murine and human disease, and contribute to the understanding of the influence of fibers in the pathogenesis of mesothelioma and validation of the murine model for preclinical testing.
Malignant mesothelioma (MM) is a severe primary neoplastic disease. Its frequency has dramatically increased in recent decades because of occupational exposure to asbestos fibers and the long latency period between first exposure and diagnosis, ranging from 20 to more than 40 years.1,2 The growing frequency of mesothelioma was also aggravated by the delayed recognition of asbestos diseases and implementation of asbestos regulations. Despite recent epidemiological data suggesting that the peak of MM incidence may occur sooner than expected, this malignancy remains a major concern in view of the poor results of treatment and reports of mesotheliomas with no known exposure to asbestos in 20% to 40% of cases.3–6 This raises the question of the role of very low levels of asbestos, as described in the context of environmental exposure or other, as yet unidentified, risk factors.7–11 New manufactured fiber-shaped products may also be of concern, as recent studies have demonstrated that carbon nanotubes can reach subpleural tissue in mice12,13 and induce inflammation after injection in the peritoneal cavity of mice.14 Mesotheliomas also occur in genetically modified cancer-sensitive mice and in conventional Fisher 344 rats exposed to carbon nanotubes by intraperitoneal and intrascrotal administration, respectively.15,16
To improve the outcome of MM, a better knowledge of the somatic alterations in neoplastic cells is necessary to improve diagnosis, treatment, and prognosis. Several techniques are available to identify MM genomic alterations, such as cytogenetics, comparative genomic hybridization (CGH), and single nucleotide polymorphism array, or gene mutations by DNA sequencing. Data from the literature show that most human MM cases exhibit complex patterns of cytogenetic changes, with chromosomal losses being more frequent than gains, and numerous partial or total chromosome losses have been shown to be recurrent.17–26 Somatic molecular abnormalities affecting tumor suppressor genes (TSGs) have also been described in human MM. They mainly consist of codeletion of p16/CDKN2A, p14/ARF, and p15/CDKN2B genes, and mutations of the NF2 gene in approximately one half of cases. In contrast, the TP53 TSG is less frequently inactivated.27–30
Murine models of mesothelioma have been recently developed in wild-type (WT) and hemizygous Nf2+/− mice after asbestos exposure by intraperitoneal inoculation, offering an unique opportunity to more clearly characterize the genomic changes caused by asbestos on mesothelial cells.31–33 These animals developed mesotheliomas 9 to 24 months after exposure, with frequent occurrence of ascitic fluid. Nƒ2 hemizygosity resulted in a higher rate of mesothelioma when compared to WT mice, with no significant difference in terms of time to tumor occurrence.31 Mesothelioma cells isolated from tumor ascites obtained from these mice displayed similar gene mutations as human MM, characterized by frequent LOH at the Nƒ2 locus in Nƒ2+/− mice and, in all genetic backgrounds, frequent inactivation of p16/Cdkn2a, p19/Arf, p15/Cdkn2b TSGs and infrequent inactivation of Trp53.32,34,35 Only limited data on global analysis of genomic alterations have been reported to date in rodents. Only recurrent alterations in chromosome 4 were described in murine mesothelioma cells.36 A CGH study was also performed in rats after intraperitoneal administration of iron saccharate.37
The present study was designed to investigate genomic alterations in MM by comparing the genomic profile of human MM cases to that of fiber-induced murine MM assessed by array-comparative genomic hybridization (aCGH). Genomic profiles showed numerous alterations in both species with 15 similar regions of chromosome imbalance. In human MM cells, a link was found between genomic instability and the ability of MM xenografts to develop subcutaneous tumors in immunocompromised mice. Our data also suggest that loss of human 14q11.2–q21 region is related to asbestos exposure.
These results suggest that genes in altered regions may be damaged or deregulated by asbestos exposure, and may subsequently sustain carcinogenesis. Research is currently underway to identify the genes, gene families, and pathways involved in mesothelial carcinogenesis.
Materials and Methods
Mesothelioma Cells
Murine mesothelioma cells were obtained from previous experiments in which mineral fibers, asbestos, and carcinogenic refractory ceramic fibers were inoculated into the peritoneal cavity of WT and NF2+/− mice. This strategy allowed the generation of mesotheliomas mimicking the morphology and histopathology of the corresponding human cancer.31,35 Sixteen cell cultures were established from tumor ascites obtained from 12 Nf2+/− mice and four WT mice, as reported elsewhere.31 The mesothelial origin was assessed by immunocytochemistry using cytokeratin and vimentin antibodies according to a previously described method.31 Histological subtypes were epithelioid (15.4%), sarcomatoid (30.8%), and mixed (53.8%) MMs. Histopathological features of murine mesotheliomas were independent of the fiber type, asbestos, or refractory ceramic fibers. The genetic background did not influence tumor morphology or genetic alterations, apart from more frequent LOH at the NF2 locus in Nƒ2+/− mice.34
A total of 35 human cell cultures were obtained from confirmed malignant mesothelioma case patients: 29 male (82.8%) and six female (17.2%), with a mean (± SD) age of 63 ± 11 years and 69 ± 5 years, respectively. The study was approved by the local Ethics Committee, and human cells were obtained with the informed consent of the patients. Detailed information about the tumors was obtained from pathology reports. Most cases were epithelioid subtypes (80%). Sarcomatoid and mixed subtypes of MM were observed in 6.7% and 13.3% of cases, respectively. Patients' asbestos exposure was estimated by interviewer-administered questionnaire. This questionnaire comprised complete job history, including past occupational, domestic, and environmental exposures to asbestos. It was completed by face-to-face interview.38 In this series, asbestos exposure was ascertained in 24 MM cases, in two cases that involved possible exposure, and no exposure was found in eight cases. In one case, no data were available on asbestos history.
DNA Extraction and Qualification
Cells were grown in RPMI 1640 medium with Glutamax and 25 mmol/L HEPES, supplemented with 8% fetal calf serum, 50 IU/ml penicillin, and 50 mg/ml streptomycin (Invitrogen, Cergy Pontoise, France). All genetic analyses were carried out with cultures of less than 10 passages. Genomic DNA was extracted as previously described,34 quantified by absorption measurement, and qualified by deposition of 100 ng on a 0.8% agarose gel. DNA ladder was λHindIII (Invitrogen).
Human and Murine aCGH
The human genome-wide CIT-CGH array (V6) contained 5822 BAC clones, with a higher coverage in genomic regions known to contain genes involved in cancer. This array was developed by partnership among the Ligue Nationale Contre le Cancer, the Genoscope, the Curie Institute, and Integragen. The genome-wide CIT M3 Mus musculus 1K BAC CGH array containing 958 unique BAC clones was manufactured by the Curie Institute (GEO record: GPL3972). Hybridizations and analyses were performed as previously reported.39,40 Fluorescent signals were detected with GenePix 4000B scanner (Molecular Devices, Union City, CA) and analyzed with GenePix Pro 5.1 software. Normalization was performed by the MANOR routine,41 and data were visualized on VAMP interface.42 A syntenic conversion tool was developed to visualize the “humanized” profile of murine tumors and to facilitate comparison with human profiles. This tool attributes human syntenic coordinates obtained from the University of California, Santa Cruz, Genome Bioinformatics Group to each murine BAC of the array. Gains and losses were defined by the GLAD algorithm.43 Amplifications and biallelic deletions were defined by a normalized fluorescence ratio greater than 3 and less than 0.5, respectively. Recurrent regions of chromosomal alteration were defined as regions that encompassed at least two adjacent probes that were both gained or lost.
Gene Alteration Analysis
Gene mutations and deletions were analyzed from genomic DNA extracted from all murine and human MM subjects. PCR amplifications and sequencing were carried out on a GeneAmp 9700 apparatus (Perkin Elmer, Courtaboeuf, France) and ABI PRISM 3100 Genetic Analyzer (Applied Biosystems, Courtaboeuf, France), respectively, according to previously published methods.34,35 Analyses concerned human genes TP53, CDKN2A, CDKN2B, and NF2, and the murine orthologs Trp53, Cdkn2a, Cdkn2b, and Nƒ2.
Human MM Cell Xenografts
Female athymic BALB/c nude mice (6–8 weeks old) were purchased from Charles River Laboratories (Les Oncins, Saint Germain sur l'Arbresle, France) and maintained under pathogen-free conditions. Animal care and experimentation were conducted in compliance with institutional guidelines in France. Human MM cells were harvested using a 0.25% trypsin, 0.2% EDTA solution (w/v) (Invitrogen). Three million cells with more than 90% viability were suspended in a volume of 200 μL PBS and injected subcutaneously into the scapular region of athymic nude mice. At least four mice were inoculated for each MM, and subcutaneous tumor growth was monitored twice a week.
Statistical Analyses
Statistical analyses were performed using Prism software, version 4.0c (GraphPad Software, San Diego, CA). A t-test was used to analyze the association between tumorigenic phenotype and number of chromosomal breakpoints. Statistical differences in the frequency of gene mutations between human and murine MMs and comparison between the occurrence of recurrent alterations in chromosomal region and tumorigenic phenotype or asbestos exposure were assessed by Fisher's exact test.
Results
Genomic Characterization of Murine Mesotheliomas
The molecular profile of murine mesotheliomas was investigated in a series of 16 murine mesotheliomas. An overview of chromosome alteration patterns is presented in Figure 1. This analysis revealed numerous genomic alterations, with an average of 10.7 (range, 4–18) altered autosomes per tumor. Interestingly, these alterations were mostly gains or losses of entire chromosomes. Recurrent regions of chromosomal alterations were then defined as regions with at least two adjacent probes gained or lost at a frequency greater than 30% (Table 1). Frequent recurrent gained regions (more than 50% of cases) included chr15 (75% to 81%), 19qC3–qD2 (75%), 19qA–qC1 (63% to 75%), 6qA1–qB1 (50% to 56%), and 8qC2–qC5 (50%), and frequent losses included regions in 4qC4–qD1 (50% to 81%), 14qD3–qE2.1 (50% to 69%), 4qD3–qE2.1 (50% to 63%), chr7 (56% to 63%), and 14qB (50%) (see Supplemental Figure S1, A–C, at http://ajp.amjpathol.org). Minimal regions of chromosomal loss were then delineated on the basis of the alteration frequency and the presence of an interstitial deletion in at least two MMs to identify potential tumor suppressor genes and the miRNAs lost in murine mesothelioma cells (Table 2 and Supplemental Figure S1, A–C at http://ajp.amjpathol.org). The most remarkable characteristic was the high frequency of interstitial deletion in chromosome 4 (81%), which was biallelic in six tumors (Table 2). The 5-Mb minimal region of this recurrent deletion located in 4qC4 contained the Cdkn2a/Cdkn2b gene locus. Another recurrent interstitial deletion was observed on chromosome 14 (14qE2.1) in 11 of 16 MM cells, containing the Diap3, Pcdh9, and Pcdh20 candidate genes. Deletion of the Nf2 region in 11qA1 was infrequent (3/16) and found only in a Nf2+/− background. Three high-level gained regions containing the proto-oncogene Myc and several cadherins were identified. Four regions of homozygous deletions were observed, including Sav1, the putative TSG involved in the Hippo signaling pathway, as candidate target gene (Table 2).
Figure 1.

Summary of genomic profiles in murine mesothelioma cells. Frequency plots of gains and losses of each chromosomal region in murine MM. Bars correspond to the percentage of samples with gain or loss in a given chromosomal region. Chromosome borders are indicated by solid vertical lines and centromere positions by dashed lines. Recurrent regions of chromosomal alteration are framed with a fine line.
Table 1.
Recurrent Regions of Chromosomal Alterations (Frequency Greater than 30%) in Murine Mesothelioma Cells
| Alteration | Chromosomal region | Maximal frequency (%) | Start | End | Size (Mb) |
|---|---|---|---|---|---|
| Gain | 1qA1–qC1.3 | 31 | 0 | 65343589 | 65 |
| 5qG1.3–qG3 | 38 | 124245465 | 152000000 | 28 | |
| Chr6⁎ | 56 | ||||
| Chr8⁎ | 50 | ||||
| 10qC2–qD3 | 38 | 92606277 | 130000000 | 37 | |
| Chr15⁎ | 81 | ||||
| 16qA1–qB3 | 31 | 0 | 37335257 | 37 | |
| Chr17⁎ | 38 | ||||
| Chr19⁎ | 75 | ||||
| Loss | 1qH2.1–qH5 | 38 | 158533294 | 188288765 | 30 |
| 2qE1–qE3 | 31 | 88372743 | 113343671 | 25 | |
| Chr4⁎ | 81 | ||||
| Chr7⁎ | 63 | ||||
| 12qA1.1–qE | 44 | 0 | 105426793 | 105 | |
| Chr14⁎ | 69 |
Several gained or lost regions encompassed whole chromosomes in some murine MMs (see Supplemental Figure S1, A–C, for details at http://ajp.amjpathol.org).
Table 2.
Minimal Regions of Chromosomal Imbalance Based on Alteration Frequency and Occurrence of Interstitial Deletions, Amplifications, and Biallelic Deletions in 16 Murine Mesothelioma Cells
| Alteration | Chromosomal region | Number of MMs (%) | Start | End | Size (Mb) | Gene number | Gene | miRNA |
|---|---|---|---|---|---|---|---|---|
| Minimal regions of deletion | 1qH2.2–qH2.3 | 6 (38) | 162074549 | 171028275 | 9 | >10 | Gas5, Rxrg, Pbx1 |
|
| 4qC4 | 13 (81) | 84800547 | 89483516 | 5 | >10 | Cdkn2a, Cdkn2b |
|
|
| 4qC7 | 9 (56) | 102961540 | 114389001 | 11 | >10 | Cdkn2c, Faf1 | Mir761 | |
| 12qC1–qC2 | 7 (44) | 60575140 | 71056044 | 10 | >10 | Sav1 | Mir681 | |
| 14qB | 8 (50) | 39021984 | 43790944 | 5 | >10 | — | — | |
| 14qE2.1 | 11 (69) | 85113991 | 96312501 | 11 | 5 | Diap3, Tdrd3, Pcdh20, Pcdh9, Klhl1 | — | |
| Amplification | 8qA1.1 | 1 (6) | 0 | 23875369 | 24 | >10 | Elavl1, Gas6 | Mir1968, Mir2144 |
| 8qC5–qD1 | 1 (6) | 91443012 | 107427526 | 16 | >10 | Mmp2, Mmp15, Cdh11, Cdh5, Cdh8 | Mir138-2 | |
| 15qD1 | 1 (6) | 58895730 | 66093803 | 7 | >10 | Myc | — | |
| Biallelic deletion | 1qA1 | 1 (6) | 0 | 10359697 | 10 | >10 | — | — |
| 4qC4 | 6 (38) | 84800547 | 89483516 | 5 | >10 | Cdkn2a, Cdkn2b | Mir31 | |
| 12qC1–qC2 | 1 (6) | 60575140 | 71056044 | 10 | >10 | Sav1 | Mir681 | |
| 14qB | 1 (6) | 39021984 | 43790944 | 5 | >10 | — | — |
Genes clearly or potentially involved in oncogenesis are indicated in bold.
Genomic Characterization of Human Mesotheliomas
The genomic characterization of a series of 35 human MMs also demonstrated a high rate of rearrangements (Figure 2). Two tumors displayed up to 21 altered autosomes (mean of 13.8 altered autosomes per tumor; range: 1–21). However, most alterations did not involve entire chromosomes, and monoallelic gains were less frequent than in murine MMs. Nine recurrent regions of loss with a frequency greater than 50% were observed: 9p22–p13 (51% to 91%), 22q (57% to 80%), 3p22–p14 (51% to 63%), 13q11–q21 (51% to 60%), 6q21–q22 (51% to 57%), 4q21–q24 (51%to 54%), 12p13 (54%), 1p36.3 (51%), and 6q24–q25 (51%), and only one region of gain was observed: 5p15.3 (51%) (see Supplemental Figure S2 at http://ajp.amjpathol.org). Recurrent regions of chromosomal alterations with a frequency greater than 30% are shown in Table 3. Ten high-level gained regions and 12 regions containing homozygous deletions were detected (Table 4). Homozygous deletions in 9p21 (22/35), 22q11.2 (3/35), 1p21 (2/35), and 9p23 (2/35) were identified in several human MMs, but none of the amplicons were recurrent.
Figure 2.

Summary of genomic profiles in human mesothelioma cells. Frequency plots of gains and losses of each chromosomal region in human MM. Bars correspond to the percentage of samples with gain or loss in a given chromosomal region. Chromosome borders are indicated by solid vertical lines and centromere positions by dashed lines. Recurrent regions of chromosomal alteration are framed with a fine line.
Table 3.
Recurrent Regions of Chromosomal Alterations (Frequency Greater than 30%) in Human Mesothelioma Cells
| Alteration | Chromosomal region | Maximal frequency (%) | Start | End | Size (Mb) |
|---|---|---|---|---|---|
| Gain | 5p15.3–p11 | 51 | 0 | 49464271 | 49 |
| 7p22–p11.2 | 37 | 0 | 57346208 | 57 | |
| 20q11.2–q13.1 | 34 | 34168802 | 43536662 | 9 | |
| Loss | 1p36.3–p35 | 51 | 0 | 30383282 | 30 |
| 1p31–p12 | 40 | 75229478 | 119360570 | 43 | |
| 3p23–p14 | 63 | 34981835 | 64352460 | 29 | |
| Chr4 | 54 | ||||
| 6q14–q27 | 57 | 80213243 | 170629779 | 90 | |
| 8p23–p12 | 31 | 1790686 | 31056165 | 29 | |
| 9p24–q21 | 91 | 0 | 70025358 | 70 | |
| 10p15–p12 | 37 | 0 | 21068361 | 21 | |
| 10q23–q26 | 37 | 86173438 | 135071951 | 49 | |
| 12p13 | 54 | 10844968 | 12614264 | 2 | |
| 13q | 60 | ||||
| 14q11.2–q21 | 40 | 0 | 42832378 | 43 | |
| 14q24–q32 | 40 | 76307162 | 106230236 | 30 | |
| 15q13–q21 | 40 | 27018560 | 44046064 | 17 | |
| 17p13–p11.2 | 34 | 5782075 | 17473056 | 12 | |
| 18q12–q23 | 46 | 23824248 | 75939456 | 52 | |
| 19p13.1–p12 | 31 | 18161120 | 24246700 | 6 | |
| 19q13.2–q13.4 | 31 | 47672188 | 59385609 | 12 | |
| 22q | 80 |
Table 4.
Amplification and Biallelic Deletions in Human Mesothelioma Cells
| Alteration | Chromosomal region | Number of MMs (NT = 35) | Start | End | Size (Mb) | Gene number | Gene | miRNA |
|---|---|---|---|---|---|---|---|---|
| Amplification | 1p34.2–p34.1 | 1 | 40464163 | 43936177 | 3 | >10 | CDC20 |
|
| 2p12 | 1 | 75046439 | 76197958 | 1 | 5 | POLE4, TACR1, FAM176A, MRPL19, C2orf3 | — | |
| 4q31.2 | 1 | 147916169 | 150226685 | 2 | >10 | — | MIR548G | |
| 5p15.3 | 1 | 0 | 2692035 | 3 | >10 | TERT | — | |
| 7p21–p15 | 1 | 9198514 | 29922960 | 21 | >10 | TWIST1, GPNMB, IL6, NPY, HNRNPA2B1, HOXA9, HOXA13 |
|
|
| 7p14 | 1 | 39469174 | 43369192 | 4 | >10 | — | — | |
| 9p24 | 1 | 442668 | 8228482 | 8 | >10 | RLN2, KDM4C | MIR101-2 | |
| 10q26 | 1 | 123070217 | 126566539 | 3 | >10 | FGFR2 | — | |
| 19q12–q13.1 | 1 | 33184604 | 38838451 | 6 | >10 | — | — | |
| 20q13.3 | 1 | 54336834 | 57746514 | 3 | >10 | AURKA |
|
|
| Biallelic deletion | 1p21 | 2 | 101859311 | 105068099 | 3 | 8 | OLFM3, COL11A1, RNPC3, AMY2B, AMY2A, AMY1A, AMY1B, AMY1C | — |
| 4p15.3 | 1 | 12344454 | 13298102 | 1 | 3 | RAB28, NKX3-2, BOD1L | — | |
| 5q34 | 1 | 166908572 | 170038731 | 3 | >10 | — |
|
|
| 9p23 | 2 | 8228482 | 13419660 | 5 | 4 | PTPRD, TYRP1, C9orf150, MPDZ | — | |
| 9p21 | 22 | 20172510 | 22317110 | 2 | >10 | CDKN2A, CDKN2B |
|
|
| 10q26 | 1 | 126566539 | 131109233 | 5 | >10 | — | — | |
| 11q22–q23 | 1 | 106448945 | 114320480 | 8 | >10 | ATM, SDHD, ZBTB16, PPP2R1B |
|
|
| 13q21 | 1 | 65415360 | 70465908 | 5 | 3 | PCDH9, KLHL1, DACH1 | — | |
| 16p13.3 | 1 | 5147035 | 8712134 | 4 | 4 | A2BP1, TMEM114, C16orf68, ABAT | — | |
| 18p11.3 | 1 | 5196459 | 7203642 | 2 | 6 | ZFP161, EPB41L3, TTMA, L3MBTL4, ARHGAP28, LAMA1 | — | |
| 22q11.2 | 3 | 19570585 | 20084258 | 1 | 9 | SNAP29, CRKL, AIFM3, LZTR1, THAP7, P2RX6, SLC7A4, GGT2, RIMBP3B | MIR649 | |
| 22q12 | 1 | 28155132 | 28374240 | <1 | 1 | RFPL1, NEFH, THOC5, NIPSNAP1, NF2 | — |
Genes clearly or potentially involved in oncogenesis are indicated in bold.
Humanized Murine aCGH
Syntenic analysis of the murine genomic profiles revealed similarities between their humanized profiles and the genomic profiles obtained from the human series of MM. In particular, 12 regions recurrently altered (frequency greater than 30%) in both the human disease and the murine model were identified (Table 5). Human and murine MM cells shared the same lost regions with the highest frequency: Hs (Homo sapiens) 9p24–p13 (91%) and Mm (Mus musculus) 4qC3–C5 (81%). Other altered regions, such as Hs 1p36.3–p35 (Mm 4qD2.3–4qE2) and Hs 13q14–q33 (Mm 14qD1–qE2.3), showed a frequency of loss greater than 50%. Gain in Hs 5p15.3–p13 (Mm 15qA1–qB3.1) and losses in Hs 3p21–p14 (Mn 14qA1–14qA3) and Hs 13q12 (Mn 14qC3) were also characterized as recurrent in both species. However, it must be noted that some loci within these human recurrent regions (Hs 3p21, Hs 13q13) were not altered in mice (see Supplemental Figure S2, D and L, at http://ajp.amjpathol.org). Furthermore, several regions of chromosomal imbalance in human MM were not recurrently altered in the murine genomic profile. The most striking difference was the absence of recurrent alteration in mouse genomic regions corresponding to human chromosome 22. Other human regions characterized by a frequency of loss greater than 50%, such as Hs 4q21–q24, Hs 6q21–q22, Hs 6q24–q25, and Hs 12p13, were also not recurrently lost in the murine syntenic regions. Furthermore, regions of high-level gain differed between human and murine MMs, and only the frequent homozygous deletion in the Hs 9p21 region was detected in murine MM (Mn 4qC4).
Table 5.
Comparison of Chromosomal Alterations (Frequency Greater than 30%) between Human and Murine Mesothelioma Cells
| Alteration | Human |
Murine |
|||||
|---|---|---|---|---|---|---|---|
| Chromosomal region | Maximal frequency (%) | Start | End | Size (Mb) | Chromosomal region | Maximal frequency (%) | |
| Gain | 5p15.3–p13 | 49 | 7387737 | 39283396 | 32 | 15qA1–qB3.1 | 75 |
| 7p22–p21 | 37 | 188237 | 12020141 | 12 | 5qG2/6qA1 | 38/58 | |
| 7p15–p14 | 37 | 24340863 | 30917523 | 7 | 6qB2.3–qB3 | 44 | |
| Loss | 1p36.3–p35 | 51 | 2058046 | 29574368 | 28 | 4qD2.3–4qE2 | 63 |
| 3p21–p14 | 60 | 52571782 | 63683864 | 11 | 14qA1/14qA3 | 38/38 | |
| 6q15–q16 | 40 | 89148060 | 100061960 | 11 | 4qA3–qA5 | 38 | |
| 8p21 | 31 | 22048391 | 26316410 | 4 | 14qD1 | 44 | |
| 9p24–p13 | 91 | 8228482 | 36895443 | 29 | 4qA5–B1/4qC3–C5 | 44/81 | |
| 10q23 | 34 | 86679954 | 87489928 | 1 | 14qA3–qB | 38 | |
| 10q26 | 37 | 121395903 | 127901902 | 7 | 7qF2–qF3 | 56 | |
| 13q12 | 57 | 19505755 | 19703538 | 0 | 14qC3 | 44 | |
| 13q14–q33 | 57 | 42908596 | 101265081 | 58 | 14qD1–qE2.3 | 69 | |
| 14q11.2–q21 | 40 | 19150554 | 42832378 | 24 | 12qB3–qC1/14qC1–qC2 | 44/44 | |
| 14q24–q32 | 37 | 77705005 | 94277131 | 17 | 12qD3–qE | 38 | |
| 19q13.2–q13.4 | 31 | 50052470 | 54919450 | 5 | 7qA2/7qB3 | 56/56 | |
| Biallelic deletion | 9p21 | 63 | 20172510 | 22317110 | 2 | 4qC4 | 40 |
Human Candidate Genes Associated with Minimal Regions of Chromosomal Imbalance
To determine genes or miRNAs potentially involved in human mesothelial carcinogenesis, minimal altered regions were defined on the basis of several criteria. First, CGH array data were compared between murine and human MMs, and four minimal regions of loss were delineated in both species: 1p36.3, 1p36.1, 9p21, and 13q21 (Table 6 and Supplemental Figure S2, A, B, I, and M at http://ajp.amjpathol.org). The 9p21 region, which encompassed the CDKN2A and CDKN2B genes, showed the highest alteration frequency in both species. The presence of homozygous deletions in this region was also detected in 63% and 40% of human and murine MMs, respectively (Table 5). Three other regions also contained putative TSG, such as CHD5 (1p36.3), NBL1 (1p36.1), PCDH9, and DACH1 (13q21). Interestingly, the 13q21 region, in which one of the human MMs showed a homozygous deletion (Table 4), contained only three coding genes (Table 6). Second, 13 new minimal regions of chromosomal loss in human MM were defined on the basis of the alteration frequency and the presence of an interstitial deletion in at least three MMs (Table 6 and Supplemental Figure S2 at http://ajp.amjpathol.org). Seven of these regions (3p21, 4q22–23, 6q24–q25, 10q23–q24, 12p13, 13q13, and 15q14–q21) contained genes that have been previously described as being involved in cancer progression, as shown in Table 6. The other six regions (1p22–p21, 4p16–p15.3, 4q13, 6q22, 9p22, 9p11.1, and 15q14–q21) did not contain any potential TSG but encompassed several miRNA loci. Third, despite the entire loss of 22q in 57% of human MMs, the smaller q12–q13 region, characterized by the highest alteration frequency (80%), was delineated. This region contains two potential genes previously described to be involved in tumor progression (EP300, BIK) and four miRNAs (Table 6). The NF2 gene locus located in 22q12 showed an alteration frequency of 71% (see Supplemental Figure S2, Q, at http://ajp.amjpathol.org). Fourth, genes and miRNAs localized in high-level gained regions and in regions with homozygous deletions were identified (Table 4). The most remarkable finding was the presence of the NF2 locus in one of the regions bearing biallelic deletion (22q12). Furthermore, several human genes possibly involved in tumor progression of MM, such as CDC20 (1p34.2–p34.1), TERT (5p15.3), FGFR2 (10q26), and AURKA (20q13.3), were localized in high-level gained regions (Table 4).
Table 6.
Minimal Regions of Chromosomal Alterations in Human Mesothelioma Cells
| Alteration (loss) | Chromosomal region | Maximal frequency (%) (human/mouse) | Start | End | Size (Mb) | Gene number | Gene | miRNA |
|---|---|---|---|---|---|---|---|---|
| Human/mouse comparison | 1p36.3 | 51/63 | 4356069 | 6292626 | 2 | >10 | CHD5 | — |
| 1p36.1 | 46/50 | 19083345 | 20986850 | 2 | >10 | NBL1 | MIR1290 | |
| 9p21 | 91/81 | 20172510 | 22317110 | 2 | >10 | CDKN2A, CDKN2B |
|
|
| 13q21 | 49/69 | 62637997 | 70465908 | 8 | 3 | PCDH9, KLHL1, DACH1 | — | |
| (human) | ||||||||
| Interstitial deletions in humans | 1p22–p21 | 40 | 92918111 | 101318454 | 8 | >10 | — |
|
| 3p21 | 60 | 45214909 | 50409942 | 5 | >10 | SETD2, MST1R, PLXNB1, RASSF1, RBM5, SEMA3B, SEMA3F, HYAL1, HYAL2 |
|
|
| 4p16–p15.3 | 46 | 9614707 | 12344454 | 3 | 5 | SLC2A9, WDR1, ZNF518B, CLNK, HS3ST1 | MIR572 | |
| 4q13 | 49 | 63518558 | 65274228 | 2 | 1 | TECRL | — | |
| 4q22–23 | 54 | 92471635 | 101247956 | 9 | >10 |
|
— | |
| 6q22 | 57 | 115807782 | 120525326 | 5 | >10 | — | MIR548B | |
| 6q24–q25 | 51 | 144840012 | 155794638 | 11 | >10 |
|
— | |
| 9p22 | 49 | 14010653 | 14732051 | 1 | 4 | NFIB, ZDHHC21, CER1, FREM1 | — | |
| 9p11.1 | 43 | 42843412 | 66195312 | 23 | 4 | ANKRD20A3, FAM75A6, CNTNAP3B, FAM75A7 | — | |
| 10q23–q24 | 37 | 87489928 | 108067973 | 21 | >10 | BMPR1A, SNCG, PTEN, FAS, LGI1, NFKB2, SUFU |
|
|
| 12p13 | 54 | 11584100 | 12614264 | 1 | 6 | ETV6, BCL2L14, LRP6, MANSC1, LOH12CR1, DUSP16 | MIR1244 | |
| 13q13 | 60 | 31067328 | 33059957 | 2 | 9 | RXFP2, FRY, ZAR1L, BRCA2, N4BP2L1, N4BP2L2, PDS5B, KL, STARD13 | — | |
| 15q14–q21 | 40 | 30654132 | 44046064 | 13 | >10 | THBS1 |
|
|
| High frequency in humans | 22q12–q13 | 80 | 32678146 | 42309461 | 10 | >10 | EP300, BIK |
|
Genes clearly or potentially involved in oncogenesis are indicated in bold.
Gene Mutations in Human and Murine MM
The rates of mutation in human TP53, CDKN2A/CDKN2B, and NF2 genes and in the orthologous murine genes are reported in Table 7, confirming previously published data, but based on a larger series.34,35,44 No significant difference was observed for the percentage of human and murine MMs showing gene alterations. Mutations in TP53 TSG were found in a fairly low percentage in both human and murine MMs (20% and 25%, respectively). In contrast, CDKN2A and CDKN2B genes were altered by high frequency deletions, especially in human MM. Comparison between NF2 alterations in mice and humans is more difficult, as 75% (12/16) of murine MM cultures were derived from mesotheliomas developed in Nƒ2+/− mice. Nevertheless, deletions were the most frequent type of mutation in both human and murine MMs (65% and 92%, respectively).
Table 7.
Percentage of Cases Showing Gene Alterations in Human and Murine Mesothelioma Cells
| Human/murine gene | Alteration frequency in humans (%) | Alteration frequency in mice (%) | P value⁎ |
|---|---|---|---|
| TP53/Trp53 | 20 | 25 | 0.72 |
| NF2/Nƒ2 | 46 | 75 | 0.07 |
| CDKN2A/Cdkn2a | 82 | 56 | 0.09 |
| CDKN2B/Cdkn2b | 76 | 60 | 0.43 |
Fisher's exact test.
Association between Genomic Alterations and Histological Subtype of MM in Mice and Humans
Comparison of recurrent regions of chromosomal alterations with histological MM subtypes underlined different frequencies among the altered regions. As biphasic subtype is a mixed population, comparisons were made only between epithelioid and sarcomatoid subtypes. Results should be considered with caution regarding the low percentage of sarcomatoid human MM (6.7%) and murine epithelioid MM (15.4%). Gain in Hs 5p15.3–p11 and losses in Hs 3p23–p14, Hs 6q14–q27, and Hs 10p15–p12 were observed in more than 50% and 0% of epithelioid and sarcomatoid subtypes, respectively. In mice, loss of Mm 2qE1–qE3 showed the same distribution. At the opposite, Mm 1qH2.1–qH5 and Mm 16qA1–qB3 alterations showed a frequency greater than 50% in sarcomatoid subtypes and 0% in epithelioid subtypes. However, there were no similarities between human and mouse MM in terms of type and location of recurrent alterations according to histological subtype.
Association between Genomic Alterations and Xenograft Growth of Human MM Cells
Tumorigenicity of 32 human MM cells was determined in immunocompromised mice. In vivo tumor growth was observed with 23 MMs. For each case, the tumorigenic potency was compared to that of genomic alterations. Several recurrent genomic alterations were more frequent in tumorigenic (T) than in nontumorigenic (NT) human MM, corresponding to losses in 3p23–p14 (T: 74%; NT: 33%), 1p31–p12 (T: 52%; NT: 22%), 10p15–p12 (T: 43%; NT: 22%), and 17p13–p11.2 (T: 43%; NT: 22%), and gain in 5p15.3–p11 (61%; NT: 33%). Statistical comparison between the occurrence of minimal regions of chromosomal alterations (Table 6) and this biological feature revealed that losses of 1p22–p21 (P < 0.05), 3p21 (P < 0.05), and 9p22 (P < 0.02) regions were more frequent in tumorigenic than in nontumorigenic MM. Interestingly, the 3p21 region contained several genes previously described as being involved in tumor progression (SETD2, MST1R, PLXNB1, RASSF1, RBM5, SEMA3B, SEMA3F, HYAL1, and HYAL2).
The number of breakpoints across the 22 autosomes was quantified to estimate genomic instability in human MM. Breakpoints were defined as the junction between a nonaltered chromosomal region and a lost region. The breakpoint index, which corresponds to the sum of all breakpoints observed, ranged from 2 to 35, with a median of 22.5 (Figure 3). Interestingly, a statistically significant correlation was demonstrated between a high breakpoint index and the ability of MMs to develop a tumor in nude mice (P = 0.031).
Figure 3.

Genomic instability and tumorigenic potency in nude mice xenografts of human mesothelioma cells. Breakpoint index was determined for each human MM and plotted separately for nontumorigenic (NT) and tumorigenic (T) MM cells. Medians are indicated by horizontal bars.
Comparative Genomic Alterations Related to Fiber Exposure
Comparison of recurrent regions of chromosomal alterations between asbestos-exposed (24 cases) and non–asbestos-exposed (8 cases) patients showed a difference in the 14q11.2–q21 region (Figure 4). The maximum frequency of chromosomal alterations was 46% and 0% in asbestos-exposed and non–asbestos-exposed cases, respectively (P < 0.03). In our murine model of fiber-induced MM, the syntenic regions 12qB3–qC1 and 14qC1–qC2 were also altered at a frequency of 44% (Table 5).
Figure 4.

Schematic diagram of chromosomal alterations in the Hs 14q11.2–q21 region in asbestos-exposed and non–asbestos-exposed cases, and in the syntenic mouse chromosomal regions. The start position in the human genome (NCBI Build 36), the cytogenetic location, and the alteration frequency of each BAC clone are shown in the left columns. Each vertical column represents one individual MM: Open circle, no evidence of loss or gain; large black circle, heterozygous loss; open circle with a central dot, gain; small black circle, not informative; dark gray shaded area, region of loss; light gray shaded area, region of gain. Corresponding mouse chromosomal regions are shown when alteration frequency of BAC clones is greater than 30%. Alteration frequency of each BAC clone is also specified for each group.
Discussion
This study was designed to compare genomic alterations in human MMs and in fiber-related murine MMs as models of human MM. An aCGH study of mineral fiber-induced murine MM was recently reported by Altomare et al (2009).36 This investigation concerned four MMs developed in Arf+/− mice and primarily identified losses or gains of whole chromosomes, but the only recurrent genomic imbalance was a focal loss in chromosome 4C6 containing the Cdkn2a locus and the Faf1 gene.36 The present study, based on 16 murine MMs, demonstrated numerous genomic alterations involving several chromosomes. Similarly, two minimal regions of chromosomal loss were identified, containing Cdkn2a/Cdkn2b, and Cdkn2c and Faf1, respectively. In addition to recurrent deletions in mouse chromosome 4, frequent losses included regions in chromosomes 7 and 14, and frequent gains were detected in chromosomes 6, 8, 15, and 19, likely because of the greater number of MMs investigated in this series. Another aCGH study was carried out in 11 cases of iron saccharate–induced MM (six epithelioid and five sarcomatoid) in rats.37 Epithelioid MMs showed minimal alterations, whereas a few chromosomal amplifications and deletions were found in sarcomatoid MM, including homozygous deletion of the Cdkn2a/Cdkn2b locus. Further studies would be necessary to determine whether these differences are related to the type of MM-inducing agent and/or to species specificities. However, Cdkn2a/Cdkn2b locus deletion seems to be an independent and specific feature of MM.
Human MMs have been previously studied by various cytogenetic methods: classical CGH, CGH array, single nucleotide polymorphism array, and representational oligonucleotide microarray analysis. Human MM is characterized by frequent losses of chromosomes 1p, 3p, 4, 6, 9p, 13q, 14q, and 22q and by gains mostly involving chromosomes 5p, 7p, 8q, and 17q.21–26,45,46 In agreement with data in the literature, aCGH in our series detected chromosomal losses in similar regions, confirming the recurrence of these alterations in human MM. Other regions of loss identified in 8p, 10p, 14q, 15q, 17p, 18q, 19p, and 19q have also been reported in some studies.47,48 In the 12p region, a translocation breakpoint with X chromosome was described in one human MM.49 In the present study, recurrent regions of gain were identified only in 5p, 7p, and 20q. Data in the literature tend to indicate that MM tumors show more marked diversity of chromosomal gains.
Genomic data obtained with cultured MM cells are in good agreement with those found in MM primary tumors; ie, all recurrent regions of chromosomal alterations identified in cultures of human MM, except for losses in 8p23–p12 and 12p13, have been previously described in primary tumors using CGH, CGH array, or representational oligonucleotide microarray analysis (see Supplementary Table S1 at http://ajp.amjpathol.org). Nevertheless, a higher frequency of alterations was observed in MM cultured cells, probably because of contamination of tumor specimens by normal tissue.
Similarities and differences were clearly demonstrated after “humanizing” murine MM genomic profiles. The most striking similarity between human disease and its murine model is the deletion of CDKN2A/CDKN2B locus, with a frequency as high as 91% and 81% in humans and mice, respectively, and this deletion is frequently biallelic in both species (Table 5). These results are in agreement with published data reporting that CDKN2A/CDKN2B deletions are a feature of MM.28,29,50,51 The present results suggest codeletion of CDKN2A and MTAP (methylthioadenosine phosphorylase), a gene under study as a potential therapeutic target.51,52 Interestingly, the orthologous Mtap gene is located in the syntenic region (Mm chr4C4), and could be accordingly codeleted with Cdkn2a in the murine genome.
Loss of Hs 1p36.3–p35 (Mm 4qD2.3–4qE2) is another notable similarity. Deletions in the short arm of chromosome 1 are a well-known feature of human MM,53,54 and were associated with high asbestos exposure level in one study.55 In our series, losses of 1p36.3 were found in 51% and 63% of cases in human and murine MM, respectively (Table 5). One gene, CHD5, may be of interest in this region. CHD5 is involved in chromatin remodeling, and has been defined as a tumor suppressor gene.56 Monoallelic loss of this gene was observed in several human MMs in the present series. Other studies reported that CDH5 inactivation was associated with silencing of the second allele by an epigenetic mechanism, as in neuroblastoma and several carcinomas.57,58
The minimal region of common deletion between Hs 13q14–q33 and Mm 14qD1–qE2.3 was found at a frequency of 58% and 69%, respectively. The minimal region of deletion, 13q21, contains only three genes, PCDH9, KLHL1, and DACH1. Interestingly, a biallelic deletion was found in this region in one human MM. PCDH9 is a member of the protocadherin family, involved in oncogenesis.59 PCDH9 was found to be mutated in one pancreatic primary tumor60 and DACH1 is a nuclear factor playing a role in breast, prostate, and ovary cancers.61
The 5p15.3–p13 gains reported in human MM were found in different syntenic regions of the mouse genome (Table 5). Many genes of interest are located in these regions, including several cadherins, PRMD9, SKP2, and RAD1. TERT is located in 5p15.3, a recurrent region of gain in human MM but not in the syntenic mouse region. In one human MM, 5p15.3 was also amplified. Telomerase activity has been reported in a high proportion of human pleural MM, and telomere maintenance was recently reported to be due to both telomerase activity and alternative lengthening of telomeres in peritoneal MM.62,63 Tert appears to be constitutively active in most murine cells,64 and the Mm 13qC1 region in which it is located is not deleted in murine MM, in accordance with a potential role of this enzyme in both species.
In contrast, several regions of genomic alterations differed between human and murine MMs. In the present series, a high rate of deletions was detected in Hs 22q mainly consisting of loss of the entire chromosome, and NF2 inactivation is a specific alteration in MM.18,27,53,55 Monoallelic deletions at NF2 were found in 71% of cases, and a biallelic deletion was observed in one MM. Lower percentages were observed in murine MM genomic profiles. However, genetic analyses confirmed loss of Nƒ2 in murine MM, in agreement with a role of this gene in mesothelial carcinogenesis (Table 7). The Nƒ2 gene has been shown to enhance the incidence of MM in mice without shortening the latency, in comparison with WT mice, supporting a role as a susceptibility factor, a hypothesis previously formulated in human MM.65 Furthermore, MM occurred at a higher incidence when mice knockout for Nf2 were co-inactivated for either Ink4a/Arf or Trp53.66 These observations indicate that inactivation of other genes potentiates Nf2 gene loss and substantially contributes to development of MM. Other genes located in Hs 22q could also play a role in mesothelial carcinogenesis, such as EP300 and BIK located in the region lost at the highest frequency. Further studies should be developed to identify other genes relevant to mesothelial oncogenesis.
Deletions of 3p regions are among the most frequent alterations in human cancers, including human MM. Frequent loss of the Hs 3p21 region, in which several candidate genes are located, was observed, but not in mice. A cluster of tumor suppressor genes has been reported in the 3p21.3 region, including Ras-associated factor 1 (RASSF1), which appears to be inactivated by methylation in MM.67–69 Alterations in this 3p21 region were significantly more frequent in human MM exhibiting tumorigenicity in nude mice than in nontumorigenic MM, suggesting an important role of the associated genes in tumor formation. However, as for chromosome 22, the syntenic region of human 3p21 was not altered accordingly in mice. These differences could be explained by technical issues, including differences in resolution of human and murine arrays used for genomic profiling, as well as species specificities.
Other regions of chromosome imbalance found exclusively in human MM contain well-known TSG such as BRCA2 (13q13, 60% frequency of loss) or PTEN (10q23–24, 37% frequency of loss). Downregulation of PTEN has been previously described in human MM.70 In contrast, some recurrent regions of chromosomal alterations did not contain any potential TSG or oncogene, but encompassed loci of several miRNAs. Differential expression of miRNAs has been previously observed between mesothelioma and mesothelial cells.71,72 Copy number alteration is one of the mechanisms affecting miRNAs gene expression. MiRNAs are thought to act as TSGs and oncogenes because of their ability to modulate the transcriptional regulation of their target genes. Indeed, MIR31, located in the 9p21 recurrently lost region (Table 6), was recently demonstrated to inhibit cell proliferation and invasion of mesothelioma cells.73 Further investigations of other miRNAs, such as MIR760, MIR137, and MIR553, would be of interest. These miRNAs are located in 1p22–21, a region devoid of coding genes, but altered at a higher frequency in tumorigenic MM than in nontumorigenic human MM. The present study identified several miRNAs that could be deregulated in both human and murine MMs.
Comparison of recurrent regions of chromosomal alterations according to MM histology showed different frequencies between epithelioid and sarcomatoid subtypes. Although the differences are not significant, at least partly because of the low power of the statistical analysis, they are likely species dependent. This suggests that recurrent regions of chromosomal alterations are characteristic of a given subtype only in a given species. Differences in the proportion of histological subtypes between human and mouse complicated comparison between these two species. Several authors have emphasized that epithelioid MM was more frequent in humans than in mice after asbestos exposure.31,32 More recently, Jongsma et al66 found the same result in spontaneous MM identified in mice carrying conditional TSG knockout alleles for Nf2, Trp53, and Ink4a/Arf. In this study, eight different series of mice carrying co-inactivation of two or three TSGs were studied. The proportion of different subtypes was dependent on the genetic background, with epithelioid MM being under-represented in all but one series. These authors suggested that the predominant epithelioid MM subtype seen in humans as opposed to mice may occur as a result of species-specific differences or relate to the route of MM induction. Our results would better suggest a species-specific difference.
An interesting finding was the relationship between chromosomal instability, estimated by the number of breakpoints, and the ability of human MM xenografts to develop subcutaneous tumors in nude mice. To the best of our knowledge, this relationship with tumor aggressiveness has not been previously reported in mesothelioma. However, in other types of cancer, an increase in chromosomal aberrations is associated with higher grade and stage of tumors, which is consistent with increased genomic instability observed in tumor development and progression.74,75 It would be of interest to determine whether the number of breakpoints could be a useful prognostic factor for MM progression.
The present study identified one recurrent region of chromosome loss, 14q11.2–q21, in asbestos-exposed patients that was not found in non–asbestos-exposed patients but that also was lost in the syntenic region in murine mesotheliomas, suggesting that this region might be a target of action of mineral fibers. Frequent allelic loss has been detected in this region in human MM.21,76 However, to date, it has been related to asbestos exposure in only one study by Björkqvist et al,76 who found a clear history of asbestos exposure in nine of 13 MMs with deletions at 14q, compared with only one of five MMs with no known exposure to asbestos. Several genes involved in cell cycle regulation (CCNB1IP1), DNA repair (PARP2), and tumor promoting transcription factor (NKX2-1) are located in this region. Moreover, Sugarbaker et al (2008)77 identified LOH in the 14q11 region involving LRP10, a member of low-density lipoprotein receptor–related proteins, in one patient with a history of asbestos exposure.
In conclusion, despite certain differences, our results show common genomic alterations between genomic profiles in murine and human MM, and suggest that these alterations can be of importance to account for asbestos-induced mesothelial cell neoplastic transformation. Genes at the CDKN2A/CDKN2B locus may play an important role in this process by committing cells to carcinogenic transformation. It would be of interested to determine whether other genes located in common regions of chromosomal imbalance in these two species could be involved in mesothelioma transformation. Genomic profiling of human and murine MM cells reported here validates the murine model as a useful model to study the molecular mechanisms of this disease and to test innovative therapeutic approaches. New generations of genomic profiling tools in combination with expression analysis will be useful to identify target genes involved in this dreadful disease.
Acknowledgments
Murine aCGH was performed at the CIT platform at Institut Curie by Camille Blanchard. Human aCGH was performed at the CIT platform at IGBMC. We thank A. Janin for her participation in histological examinations. We are grateful to clinicians and histologists for having provided tissue samples: Dr. Isame Abd-Alsamad and Prof. Jean-Claude Pairon (CHI, Créteil, France), Françoise Le Pimpec-Barthes and Claire Danel and Prof. Marc Riquet (HEGP, Paris, France), and Philippe Astoul and Christian Boutin (Hôpital la Conception and CHU, Marseille, France).
Footnotes
Supported by the Ligue Nationale Contre le Cancer: Carte d'Identité des Tumeurs (CIT) CIT1 and CIT2 programs; Ministère de l'Emploi, de la Solidarité n°1D004C; de l'Environnement n°AC008B; Ligue Nationale Contre le Cancer (comité de l'Oise, France); Agence Nationale de la Recherche 05 9 31/ANR 05; and Agence Française de Sécurité Sanitaire de l'Environnement et du TravailRD-2004-015.
Supplemental material for this article can be found at http://ajp.amjpathol.org or at doi:10.1016/j.ajpath.2010.10.039.
Supplementary data
Schematic diagram of recurrent regions of chromosomal alterations in murine mesothelioma cells. The start position in the mouse genome (NCBI Build 36), the cytogenetic location and the alteration frequency of each BAC clones are shown on the left columns. Each other vertical column represents one individual MM, in which alteration was detected in the corresponding region: Open circle (○), no evidence of loss or gain; large black circle (●), heterozygous loss; black square (■), homozygous loss; open circle with a central dot, gain; open square with a central dot, high-level gain; small black circle (●), not informative; dark gray shaded area, region of loss; light gray shaded area, region of gain. Number of MMs with homozygous loss or high-level gain are also specified. Regions containing homozygous loss or high-level gain, and minimal regions of chromosomal alterations are framed with a thin and a thick line, respectively. Putative tumor suppressor genes (in bold); others genes and miRNAs located in these regions are indicated on the right side. A: 1qA1–qC1.3, 1qH2.1–qH5, 2qE1–qE3, Chr4. B: 5qG1.3–qG3, Chr6, Chr7, Chr8, 10qC2–qD3. C: 12qA1.1–qE, Chr15, 16qA1–qB3, Chr17, Chr19.
Schematic diagram of recurrent regions of chromosomal alterations in human mesothelioma cells and corresponding syntenic regions in murine mesothelioma cells. The start position in the human genome (NCBI Build 36), the cytogenetic location and the alteration frequency of each BAC clones are shown on the left columns. Each other vertical column represents one individual MM, in which alteration was detected in the corresponding region: Open circle (○), no evidence of loss or gain; large black circle (●), heterozygous loss; black square (■), homozygous loss; open circle with a central dot, gain; open square with a central dot, high-level gain; small black circle (●), not informative; dark gray shaded area, region of loss; light gray shaded area, region of gain. Number of MMs with homozygous loss or high-level gain are also specified. Corresponding mouse chromosomal regions are shown when alteration frequency of BAC clones was greater than 30%. Regions containing homozygous loss or high-level gain, and minimal regions of chromosomal alterations, are framed by thin and thick lines, respectively. Putative tumor suppressor genes are indicated in bold; other genes and miRNAs located in these regions are indicated on the right side. A: 1p36.3–p35 (part 1). B: 1p36.3–p35 (part 2). C: 1p31–p12. D: 3p23–p14. E: chr4 (parts 1 and 2). F: chr4 (part 3), 5p15.3–p11. G: 6q14–q27. H: 7p22–p11.2, 8p23–p12. I: 9p24–q21. J: 10p15–p12. 10q23–q26. K: 12p13. L: 13q (part 1). M: 13q (part 2). N: 14q11.2–q21, 14q24–q32. O: 15q13–q21, 17p13–p11.2, 18q12–q23. P: 19p13.1–p12, 19q13.2–q13.4, 20q11.2–q13.1. Q: Chr22.
References
- 1.Robinson B.W., Lake R.A. Advances in malignant mesothelioma. N Engl J Med. 2005;353:1591–1603. doi: 10.1056/NEJMra050152. [DOI] [PubMed] [Google Scholar]
- 2.Goldberg M., Imbernon E., Rolland P., Gilg Soit Ilg A., Saves M., de Quillacq A., Frenay C., Chamming S., Arveux P., Boutin C., Launoy G., Pairon J.C., Astoul P., Galateau-Salle F., Brochard P. The French National Mesothelioma Surveillance Program. Occup Environ Med. 2006;63:390–395. doi: 10.1136/oem.2005.023200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mowe G., Gylseth B. Occupational exposure and regional variation of malignant mesothelioma in Norway, 1970–79. Am J Ind Med. 1986;9:323–332. doi: 10.1002/ajim.4700090403. [DOI] [PubMed] [Google Scholar]
- 4.Albin M., Magnani C., Krstev S., Rapiti E., Shefer I. Asbestos and cancer: an overview of current trends in Europe. Environ Health Perspect. 1999;107(Suppl 2):289–298. doi: 10.1289/ehp.99107s2289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Kishimoto T., Ozaki S., Kato K., Nishi H., Genba K. Malignant pleural mesothelioma in parts of Japan in relationship to asbestos exposure. Ind Health. 2004;42:435–439. doi: 10.2486/indhealth.42.435. [DOI] [PubMed] [Google Scholar]
- 6.Park E.K., Hannaford-Turner K.M., Hyland R.A., Johnson A.R., Yates D.H. Asbestos-related occupational lung diseases in NSW. Australia and potential exposure of the general population. Ind Health. 2008;46:535–540. doi: 10.2486/indhealth.46.535. [DOI] [PubMed] [Google Scholar]
- 7.Pan X.L., Day H.W., Wang W., Beckett L.A., Schenker M.B. Residential proximity to naturally occurring asbestos and mesothelioma risk in California. Am J Respir Crit Care Med. 2005;172:1019–1025. doi: 10.1164/rccm.200412-1731OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Tward J.D., Wendland M.M., Shrieve D.C., Szabo A., Gaffney D.K. The risk of secondary malignancies over 30 years after the treatment of non-Hodgkin lymphoma. Cancer. 2006;107:108–115. doi: 10.1002/cncr.21971. [DOI] [PubMed] [Google Scholar]
- 9.Hodgson D.C., Gilbert E.S., Dores G.M., Schonfeld S.J., Lynch C.F., Storm H., Hall P., Langmark F., Pukkala E., Andersson M., Kaijser M., Joensuu H., Fossa S.D., Travis L.B. Long-term solid cancer risk among 5-year survivors of Hodgkin's lymphoma. J Clin Oncol. 2007;25:1489–1497. doi: 10.1200/JCO.2006.09.0936. [DOI] [PubMed] [Google Scholar]
- 10.Goodman J.E., Nascarella M.A., Valberg P.A. Ionizing radiation: a risk factor for mesothelioma. Cancer Causes Control. 2009;20:1237–1254. doi: 10.1007/s10552-009-9357-4. [DOI] [PubMed] [Google Scholar]
- 11.Goldberg S., Rey G., Luce D., Gilg Soit Ilg A., Rolland P., Brochard P., Imbernon E., Goldberg M. Possible effect of environmental exposure to asbestos on geographical variation in mesothelioma rates. Occup Environ Med. 2010;67:417–421. doi: 10.1136/oem.2009.050336. [DOI] [PubMed] [Google Scholar]
- 12.Ryman-Rasmussen J.P., Tewksbury E.W., Moss O.R., Cesta M.F., Wong B.A., Bonner J.C. Inhaled multiwalled carbon nanotubes potentiate airway fibrosis in murine allergic asthma. Am J Respir Cell Mol Biol. 2009;40:349–358. doi: 10.1165/rcmb.2008-0276OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Donaldson K., Murphy F.A., Duffin R., Poland C.A. Asbestos, carbon nanotubes and the pleural mesothelium: a review and the hypothesis regarding the role of long fibre retention in the parietal pleura, inflammation and mesothelioma. Part Fibre Toxicol. 2010;7:5. doi: 10.1186/1743-8977-7-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Poland C.A., Duffin R., Kinloch I., Maynard A., Wallace W.A., Seaton A., Stone V., Brown S., Macnee W., Donaldson K. Carbon nanotubes introduced into the abdominal cavity of mice show asbestos-like pathogenicity in a pilot study. Nat Nanotechnol. 2008;3:423–428. doi: 10.1038/nnano.2008.111. [DOI] [PubMed] [Google Scholar]
- 15.Takagi A., Hirose A., Nishimura T., Fukumori N., Ogata A., Ohashi N., Kitajima S., Kanno J. Induction of mesothelioma in p53+/− mouse by intraperitoneal application of multi-wall carbon nanotube. J Toxicol Sci. 2008;33:105–116. doi: 10.2131/jts.33.105. [DOI] [PubMed] [Google Scholar]
- 16.Sakamoto Y., Nakae D., Fukumori N., Tayama K., Maekawa A., Imai K., Hirose A., Nishimura T., Ohashi N., Ogata A. Induction of mesothelioma by a single intrascrotal administration of multi-wall carbon nanotube in intact male Fischer 344 rats. J Toxicol Sci. 2009;34:65–76. doi: 10.2131/jts.34.65. [DOI] [PubMed] [Google Scholar]
- 17.Gibas Z., Li F.P., Antman K.H., Bernal S., Stahel R., Sandberg A.A. Chromosome changes in malignant mesothelioma. Cancer Genet Cytogenet. 1986;20:191–201. doi: 10.1016/0165-4608(86)90074-9. [DOI] [PubMed] [Google Scholar]
- 18.Hagemeijer A., Versnel M.A., Van Drunen E., Moret M., Bouts M.J., Van der Kwast T.H., Hoogsteden H.C. Cytogenetic analysis of malignant mesothelioma. Cancer Genet Cytogenet. 1990;47:1–28. doi: 10.1016/0165-4608(90)90258-c. [DOI] [PubMed] [Google Scholar]
- 19.Kivipensas P., Bjorkqvist A.M., Karhu R., Pelin K., Linnainmaa K., Tammilehto L., Mattson K., Kallioniemi Q.P., Knuutila S. Gains and losses of DNA sequences in malignant mesothelioma by comparative genomic hybridization. Cancer Genet Cytogenet. 1996;89:7–13. doi: 10.1016/0165-4608(95)00358-4. [DOI] [PubMed] [Google Scholar]
- 20.De Rienzo A., Balsara B.R., Apostolou S., Jhanwar S.C., Testa J.R. Loss of heterozygosity analysis defines a 3-cM region of 15q commonly deleted in human malignant mesothelioma. Oncogene. 2001;20:6245–6249. doi: 10.1038/sj.onc.1204828. [DOI] [PubMed] [Google Scholar]
- 21.Krisman M., Müller K.M., Jaworska M., Johnen G. Molecular cytogenetic differences between histological subtypes of malignant mesotheliomas: DNA cytometry and comparative genomic hybridization of 90 cases. J Pathol. 2002;197:363–371. doi: 10.1002/path.1128. [DOI] [PubMed] [Google Scholar]
- 22.Lindholm P.M., Salmenkivi K., Vauhkonen H., Nicholson A.G., Anttila S., Kinnula V.L., Knuutila S. Gene copy number analysis in malignant pleural mesothelioma using oligonucleotide array CGH. Cytogenet Genome Res. 2007;119:46–52. doi: 10.1159/000109618. [DOI] [PubMed] [Google Scholar]
- 23.Taniguchi T., Karnan S., Fukui T., Yokoyama T., Tagawa H., Yokoi K., Ueda Y., Mitsudomi T., Horio Y., Hida T., Yatabe Y., Seto M., Sekido Y. Genomic profiling of malignant pleural mesothelioma with array-based comparative genomic hybridization shows frequent non-random chromosomal alteration regions including JUN amplification on 1p32. Cancer Sci. 2007;98:438–446. doi: 10.1111/j.1349-7006.2006.00386.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ivanov S.V., Miller J., Lucito R., Tang C., Ivanova A.V., Pei J., Carbone M., Cruz C., Beck A., Webb C., Nonaka D., Testa J.R., Pass H.I. Genomic events associated with progression of pleural malignant mesothelioma. Int J Cancer. 2009;124:589–599. doi: 10.1002/ijc.23949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Cheung M., Pei J., Pei Y., Jhanwar S.C., Pass H.I., Testa J.R. The promyelocytic leukemia zinc-finger gene, PLZF, is frequently downregulated in malignant mesothelioma cells and contributes to cell survival. Oncogene. 2010;29:1633–1640. doi: 10.1038/onc.2009.455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Christensen B.C., Houseman E.A., Poage G.M., Godleski J.J., Bueno R., Sugarbaker D.J., Wiencke J.K., Nelson H.H., Marsit C.J., Kelsey K.T. Integrated profiling reveals a global correlation between epigenetic and genetic alterations in mesothelioma. Cancer Res. 2010;70:5686–5694. doi: 10.1158/0008-5472.CAN-10-0190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Sekido Y., Pass H.I., Bader S., Mew D.J., Christmas M.F., Gazdar A.F. Neurofibromatosis type 2 (NF2) gene is somatically mutated in mesothelioma but not in lung cancer. Cancer Res. 1995;55:1227–1231. [PubMed] [Google Scholar]
- 28.Xiao S., Li D.Z., Vijg J., Sugarbaker D.J., Corson J.M., Fletcher J.A. Codeletion of p15 and p16 in primary malignant mesothelioma. Oncogene. 1995;11:511–515. [PubMed] [Google Scholar]
- 29.Hirao T., Bueno R., Chen C.J., Gordon G.J., Heilig E., Kelsey K.T. Alterations of the p16INK4 locus in human malignant mesothelial tumors. Carcinogenesis. 2002;23:1127–1130. doi: 10.1093/carcin/23.7.1127. [DOI] [PubMed] [Google Scholar]
- 30.Kitamura F., Araki S., Suzuki Y., Yokoyama K., Tanigawa T., Iwasaki R. Assessment of the mutations of p53 suppressor gene and Ha- and Ki-ras oncogenes in malignant mesothelioma in relation to asbestos exposure: a study of 12 American patients. Ind Health. 2002;40:175–181. doi: 10.2486/indhealth.40.175. [DOI] [PubMed] [Google Scholar]
- 31.Fleury-Feith J., Lecomte C., Renier A., Matrat M., Kheuang L., Abramowski V., Levy F., Janin A., Giovannini M., Jaurand M.C. Hemizygosity of Nƒ2 is associated with increased susceptibility to asbestos-induced peritoneal tumours. Oncogene. 2003;22:3799–3805. doi: 10.1038/sj.onc.1206593. [DOI] [PubMed] [Google Scholar]
- 32.Altomare D.A., Vaslet C.A., Skele K.L., De Rienzo A., Devarajan K., Jhanwar S.C., McClatchey A.I., Kane A.B., Testa J.R. A mouse model recapitulating molecular features of human mesothelioma. Cancer Res. 2005;65:8090–8095. doi: 10.1158/0008-5472.CAN-05-2312. [DOI] [PubMed] [Google Scholar]
- 33.Kane A.B. Animal models of malignant mesothelioma. Inhal Toxicol. 2006;18:1001–1004. doi: 10.1080/08958370600835393. [DOI] [PubMed] [Google Scholar]
- 34.Lecomte C., Andujar P., Renier A., Kheuang L., Abramowski V., Mellottee L., Fleury-Feith J., Zucman-Rossi J., Giovannini M., Jaurand M.C. Similar tumor suppressor gene alteration profiles in asbestos-induced murine and human mesothelioma. Cell Cycle. 2005;4:1862–1869. doi: 10.4161/cc.4.12.2300. [DOI] [PubMed] [Google Scholar]
- 35.Andujar P., Lecomte C., Renier A., Fleury-Feith J., Kheuang L., Daubriac J., Janin A., Jaurand M.C. Clinico-pathological features and somatic gene alterations in refractory ceramic fibre-induced murine mesothelioma reveal mineral fibre-induced mesothelioma identities. Carcinogenesis. 2007;28:1599–1605. doi: 10.1093/carcin/bgm023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Altomare D.A., Menges C.W., Pei J., Zhang L., Skele-Stump K.L., Carbone M., Kane A.B., Testa J.R. Activated TNF-alpha/NF-kappaB signaling via down-regulation of Fas-associated factor 1 in asbestos-induced mesotheliomas from Arf knockout mice. Proc Natl Acad Sci U S A. 2009;106:3420–3425. doi: 10.1073/pnas.0808816106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Hu Q., Akatsuka S., Yamashita Y., Ohara H., Nagai H., Okazaki Y., Takahashi T., Toyokuni S. Homozygous deletion of CDKN2A/2B is a hallmark of iron-induced high-grade rat mesothelioma. Lab Invest. 2010;90:360–373. doi: 10.1038/labinvest.2009.140. [DOI] [PubMed] [Google Scholar]
- 38.Pairon J.C., Orlowski E., Iwatsubo Y., Billongalland M.A., Dufour G., Chammings S., Archambault C., Bignon J., Brochard P. Pleural mesothelioma and exposure to asbestos—evaluation from work histories and analysis of asbestos bodies in bronchoalveolar lavage fluid or lung tissue in 131 patients. Occup Environ Med. 1994;51:244–249. doi: 10.1136/oem.51.4.244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.dos Santos N.R., Rickman D.S., de Reynies A., Cormier F., Williame M., Blanchard C., Stern M.H., Ghysdael J. Pre-TCR expression cooperates with TEL-JAK2 to transform immature thymocytes and induce T-cell leukemia. Blood. 2007;109:3972–3981. doi: 10.1182/blood-2006-09-048801. [DOI] [PubMed] [Google Scholar]
- 40.Mariani O., Brennetot C., Coindre J.M., Gruel N., Ganem C., Delattre O., Stern M.H., Aurias A. JUN oncogene amplification and overexpression block adipocytic differentiation in highly aggressive sarcomas. Cancer Cell. 2007;11:361–374. doi: 10.1016/j.ccr.2007.02.007. [DOI] [PubMed] [Google Scholar]
- 41.Neuvial P., Hupe P., Brito I., Liva S., Manie E., Brennetot C., Radvanyi F., Aurias A., Barillot E. Spatial normalization of array-CGH data. BMC Bioinformatics. 2006;7:264. doi: 10.1186/1471-2105-7-264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.La Rosa P., Viara E., Hupe P., Pierron G., Liva S., Neuvial P., Brito I., Lair S., Servant N., Robine N., Manie E., Brennetot C., Janoueix-Lerosey I., Raynal V., Gruel N., Rouveirol C., Stransky N., Stern M.H., Delattre O., Aurias A., Radvanyi F., Barillot E. VAMP: visualization and analysis of array-CGH, transcriptome and other molecular profiles. Bioinformatics. 2006;22:2066–2073. doi: 10.1093/bioinformatics/btl359. [DOI] [PubMed] [Google Scholar]
- 43.Hupe P., Stransky N., Thiery J.P., Radvanyi F., Barillot E. Analysis of array CGH data: from signal ratio to gain and loss of DNA regions. Bioinformatics. 2004;20:3413–3422. doi: 10.1093/bioinformatics/bth418. [DOI] [PubMed] [Google Scholar]
- 44.Vivo C., Liu J., Broaddus C. c-jun N-terminal kinase contributes to apoptotic synergy induced by tumor necrosis factor-related apoptosis-inducing ligand plus DNA damage in chemoresistant, p53 inactive mesothelioma cells. J Biol Chem. 2003;278:25461–25467. doi: 10.1074/jbc.M302161200. [DOI] [PubMed] [Google Scholar]
- 45.Knuutila S., Armengol G., Bjorkqvist A.M., el-Rifai W., Larramendy M.L., Monni O., Szymanska J. Comparative genomic hybridization study on pooled DNAs from tumors of one clinical-pathological entity. Cancer Genet Cytogenet. 1998;100:25–30. doi: 10.1016/s0165-4608(97)00001-0. [DOI] [PubMed] [Google Scholar]
- 46.Balsara B.R., Bell D.W., Sonoda G., De Rienzo A., du Manoir S., Jhanwar S.C., Testa J.R. Comparative genomic hybridization and loss of heterozygosity analyses identify a common region of deletion at 15q11.1–15 in human malignant mesothelioma. Cancer Res. 1999;59:450–454. [PubMed] [Google Scholar]
- 47.Sandberg A.A., Bridge J.A. Updates on the cytogenetics and molecular genetics of bone and soft tissue tumors. Mesothelioma Cancer Genet Cytogenet. 2001;127:93–110. doi: 10.1007/3-540-30792-3_7. [DOI] [PubMed] [Google Scholar]
- 48.Gray S.G., Fennell D.A., Mutti L., O'Byrne K.J. In arrayed ranks: array technology in the study of mesothelioma. J Thorac Oncol. 2009;4:411–425. doi: 10.1097/JTO.0b013e3181951ce8. [DOI] [PubMed] [Google Scholar]
- 49.Aerssens J., Guo C., Vermeesch J., Baens M., Browne D., Litt M., Van Den Berghe H., Marynen P. A physical map of the region spanning the chromosome 12 translocation breakpoint in a mesothelioma with a t(X;12)(q22;p13) Cytogenet Cell Genet. 1995;71:268–275. doi: 10.1159/000134125. [DOI] [PubMed] [Google Scholar]
- 50.Prins J.B., Williamson K.A., Kamp M.M., Van Hezik E.J., Van der Kwast T.H., Hagemeijer A., Versnel M.A. The gene for the cyclin-dependent-kinase-4 inhibitor, CDKN2A, is preferentially deleted in malignant mesothelioma. Int J Cancer. 1998;75:649–653. doi: 10.1002/(sici)1097-0215(19980209)75:4<649::aid-ijc25>3.0.co;2-2. [DOI] [PubMed] [Google Scholar]
- 51.Ladanyi M. Implications of P16/CDKN2A deletion in pleural mesotheliomas. Lung Cancer. 2005;49(Suppl 1):S95–S98. doi: 10.1016/j.lungcan.2005.03.017. [DOI] [PubMed] [Google Scholar]
- 52.Kindler H.L., Burris H.A., 3rd, Sandler A.B., Oliff I.A. A phase II multicenter study of L-alanosine, a potent inhibitor of adenine biosynthesis, in patients with MTAP-deficient cancer. Invest New Drugs. 2009;27:75–81. doi: 10.1007/s10637-008-9160-1. [DOI] [PubMed] [Google Scholar]
- 53.Taguchi T., Jhanwar S.C., Siegfried J.M., Keller S.M., Testa J.R. Recurrent deletions of specific chromosomal sites in 1p, 3p, 6q, and 9p in human malignant mesothelioma. Cancer Res. 1993;53:4349–4355. [PubMed] [Google Scholar]
- 54.Lee W.C., Testa J.R. Somatic genetic alterations in human malignant mesothelioma (review) Int J Cancer. 1999;14:181–188. [PubMed] [Google Scholar]
- 55.Tiainen M., Tammilehto L., Rautonen J., Tuomi T., Mattson K., Knuutila S. Chromosomal abnormalities and their correlations with asbestos exposure and survival in patients with mesothelioma. Br J Cancer. 1989;60:618–626. doi: 10.1038/bjc.1989.326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Bagchi A., Papazoglu C., Wu Y., Capurso D., Brodt M., Francis D., Bredel M., Vogel H., Mills A.A. CHD5 is a tumor suppressor at human 1p36. Cell. 2007;128:459–475. doi: 10.1016/j.cell.2006.11.052. [DOI] [PubMed] [Google Scholar]
- 57.Fujita T., Igarashi J., Okawa E.R., Gotoh T., Manne J., Kolla V., Kim J., Zhao H., Pawel B.R., London W.B., Maris J.M., White P.S., Brodeur G.M. CHD5, a tumor suppressor gene deleted from 1p36.31 in neuroblastomas. J Natl Cancer Inst. 2008;100:940–949. doi: 10.1093/jnci/djn176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Mulero-Navarro S., Esteller M. Chromatin remodeling factor CHD5 is silenced by promoter CpG island hypermethylation in human cancer. Epigenetics. 2008;3:210–215. doi: 10.4161/epi.3.4.6610. [DOI] [PubMed] [Google Scholar]
- 59.Berx G., van Roy F. Involvement of members of the cadherin superfamily in cancer. Cold Spring Harb Perspect Biol. 2009;1:a003129. doi: 10.1101/cshperspect.a003129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Jones S., Zhang X., Parsons D.W., Lin J.C., Leary R.J., Angenendt P., Mankoo P., Carter H., Kamiyama H., Jimeno A., Hong S.M., Fu B., Lin M.T., Calhoun E.S., Kamiyama M., Walter K., Nikolskaya T., Nikolsky Y., Hartigan J., Smith D.R., Hidalgo M., Leach S.D., Klein A.P., Jaffee E.M., Goggins M., Maitra A., Iacobuzio-Donahue C., Eshleman J.R., Kern S.E., Hruban R.H., Karchin R., Papadopoulos N., Parmigiani G., Vogelstein B., Velculescu V.E., Kinzler K.W. Core signaling pathways in human pancreatic cancers revealed by global genomic analyses. Science. 2008;321:1801–1806. doi: 10.1126/science.1164368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Popov V.M., Wu K., Zhou J., Powell M.J., Mardon G., Wang C., Pestell R.G. The Dachshund gene in development and hormone-responsive tumorigenesis. Trends Endocrinol Metab. 2010;21:41–49. doi: 10.1016/j.tem.2009.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Kumaki F., Kawai T., Churg A., Galateau-Salle F.B., Hasleton P., Henderson D., Roggli V., Travis W.D., Cagle P.T., Ferrans V.J. Expression of telomerase reverse transcriptase (TERT) in malignant mesotheliomas. Am J Surg Pathol. 2002;26:365–370. doi: 10.1097/00000478-200203000-00011. [DOI] [PubMed] [Google Scholar]
- 63.Villa R., Daidone M.G., Motta R., Venturini L., De Marco C., Vannelli A., Kusamura S., Baratti D., Deraco M., Costa A., Reddel R.R., Zaffaroni N. Multiple mechanisms of telomere maintenance exist and differentially affect clinical outcome in diffuse malignant peritoneal mesothelioma. Clin Cancer Res. 2008;14:4134–4140. doi: 10.1158/1078-0432.CCR-08-0099. [DOI] [PubMed] [Google Scholar]
- 64.Rangarajan A., Weinberg R.A. Opinion: comparative biology of mouse versus human cells: modelling human cancer in mice. Nat Rev Cancer. 2003;3:952–959. doi: 10.1038/nrc1235. [DOI] [PubMed] [Google Scholar]
- 65.Baser M.E., De Rienzo A., Altomare D., Balsara B.R., Hedrick N.M., Gutmann D.H., Pitts L.H., Jackler R.K., Testa J.R. Neurofibromatosis 2 and malignant mesothelioma. Neurology. 2002;59:290–291. doi: 10.1212/wnl.59.2.290. [DOI] [PubMed] [Google Scholar]
- 66.Jongsma J., van Montfort E., Vooijs M., Zevenhoven J., Krimpenfort P., van der Valk M., van de Vijver M., Berns A. A conditional mouse model for malignant mesothelioma. Cancer Cell. 2008;13:261–271. doi: 10.1016/j.ccr.2008.01.030. [DOI] [PubMed] [Google Scholar]
- 67.Fischer J.R., Ohnmacht U., Rieger N., Zemaitis M., Stoffregen C., Kostrzewa M., Buchholz E., Manegold C., Lahm H. Promoter methylation of RASSF1A, RARbeta and DAPK predict poor prognosis of patients with malignant mesothelioma. Lung Cancer. 2006;54:109–116. doi: 10.1016/j.lungcan.2006.06.017. [DOI] [PubMed] [Google Scholar]
- 68.Hesson L.B., Cooper W.N., Latif F. Evaluation of the 3p21.3 tumour-suppressor gene cluster. Oncogene. 2007;26:7283–7301. doi: 10.1038/sj.onc.1210547. [DOI] [PubMed] [Google Scholar]
- 69.Christensen B.C., Godleski J.J., Marsit C.J., Houseman E.A., Lopez-Fagundo C.Y., Longacker J.L., Bueno R., Sugarbaker D.J., Nelson H.H., Kelsey K.T. Asbestos exposure predicts cell cycle control gene promoter methylation in pleural mesothelioma. Carcinogenesis. 2008;29:1555–1559. doi: 10.1093/carcin/bgn059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Opitz I., Soltermann A., Abaecherli M., Hinterberger M., Probst-Hensch N., Stahel R., Moch H., Weder W. PTEN expression is a strong predictor of survival in mesothelioma patients. Eur J Cardiothorac Surg. 2008;33:502–506. doi: 10.1016/j.ejcts.2007.09.045. [DOI] [PubMed] [Google Scholar]
- 71.Guled M., Lahti L., Lindholm P.M., Salmenkivi K., Bagwan I., Nicholson A.G., Knuutila S. CDKN2A, NF2, and JUN are dysregulated among other genes by miRNAs in malignant mesothelioma—a miRNA microarray analysis. Genes Chromosomes Cancer. 2009;48:615–623. doi: 10.1002/gcc.20669. [DOI] [PubMed] [Google Scholar]
- 72.Busacca S., Germano S., De Cecco L., Rinaldi M., Comoglio F., Favero F., Murer B., Mutti L., Pierotti M., Gaudino G. MicroRNA signature of malignant mesothelioma with potential diagnostic and prognostic implications. Am J Respir Cell Mol Biol. 2010;42:312–319. doi: 10.1165/rcmb.2009-0060OC. [DOI] [PubMed] [Google Scholar]
- 73.Ivanov S.V., Goparaju C.M., Lopez P., Zavadil J., Toren-Haritan G., Rosenwald S., Hoshen M., Chajut A., Cohen D., Pass H.I. Pro-tumorigenic effects of miR-31 loss in mesothelioma. J Biol Chem. 2010;285:22809–22817. doi: 10.1074/jbc.M110.100354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Blaveri E., Brewer J.L., Roydasgupta R., Fridlyand J., DeVries S., Koppie T., Pejavar S., Mehta K., Carroll P., Simko J.P., Waldman F.M. Bladder cancer stage and outcome by array-based comparative genomic hybridization. Clin Cancer Res. 2005;11:7012–7022. doi: 10.1158/1078-0432.CCR-05-0177. [DOI] [PubMed] [Google Scholar]
- 75.Chan M.W., Hui A.B., Yip S.K., Ng C.F., Lo K.W., Tong J.H., Chan A.W., Cheung H.Y., Wong W.S., Chan P.S., Lai F.M., To K.F. Progressive increase of genetic alteration in urinary bladder cancer by combined allelotyping analysis and comparative genomic hybridization. Int J Oncol. 2009;34:963–970. doi: 10.3892/ijo_00000222. [DOI] [PubMed] [Google Scholar]
- 76.Bjorkqvist A.M., Wolf M., Nordling S., Tammilehto L., Knuuttila A., Kere J., Mattson K., Knuutila S. Deletions at 14q in malignant mesothelioma detected by microsatellite marker analysis. Br J Cancer. 1999;81:1111–1115. doi: 10.1038/sj.bjc.6690816. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Sugarbaker D.J., Richards W.G., Gordon G.J., Dong L., De Rienzo A., Maulik G., Glickman J.N., Chirieac L.R., Hartman M.L., Taillon B.E., Du L., Bouffard P., Kingsmore S.F., Miller N.A., Farmer A.D., Jensen R.V., Gullans S.R., Bueno R. Transcriptome sequencing of malignant pleural mesothelioma tumors. Proc Natl Acad Sci U S A. 2008;105:3521–3526. doi: 10.1073/pnas.0712399105. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
Schematic diagram of recurrent regions of chromosomal alterations in murine mesothelioma cells. The start position in the mouse genome (NCBI Build 36), the cytogenetic location and the alteration frequency of each BAC clones are shown on the left columns. Each other vertical column represents one individual MM, in which alteration was detected in the corresponding region: Open circle (○), no evidence of loss or gain; large black circle (●), heterozygous loss; black square (■), homozygous loss; open circle with a central dot, gain; open square with a central dot, high-level gain; small black circle (●), not informative; dark gray shaded area, region of loss; light gray shaded area, region of gain. Number of MMs with homozygous loss or high-level gain are also specified. Regions containing homozygous loss or high-level gain, and minimal regions of chromosomal alterations are framed with a thin and a thick line, respectively. Putative tumor suppressor genes (in bold); others genes and miRNAs located in these regions are indicated on the right side. A: 1qA1–qC1.3, 1qH2.1–qH5, 2qE1–qE3, Chr4. B: 5qG1.3–qG3, Chr6, Chr7, Chr8, 10qC2–qD3. C: 12qA1.1–qE, Chr15, 16qA1–qB3, Chr17, Chr19.
Schematic diagram of recurrent regions of chromosomal alterations in human mesothelioma cells and corresponding syntenic regions in murine mesothelioma cells. The start position in the human genome (NCBI Build 36), the cytogenetic location and the alteration frequency of each BAC clones are shown on the left columns. Each other vertical column represents one individual MM, in which alteration was detected in the corresponding region: Open circle (○), no evidence of loss or gain; large black circle (●), heterozygous loss; black square (■), homozygous loss; open circle with a central dot, gain; open square with a central dot, high-level gain; small black circle (●), not informative; dark gray shaded area, region of loss; light gray shaded area, region of gain. Number of MMs with homozygous loss or high-level gain are also specified. Corresponding mouse chromosomal regions are shown when alteration frequency of BAC clones was greater than 30%. Regions containing homozygous loss or high-level gain, and minimal regions of chromosomal alterations, are framed by thin and thick lines, respectively. Putative tumor suppressor genes are indicated in bold; other genes and miRNAs located in these regions are indicated on the right side. A: 1p36.3–p35 (part 1). B: 1p36.3–p35 (part 2). C: 1p31–p12. D: 3p23–p14. E: chr4 (parts 1 and 2). F: chr4 (part 3), 5p15.3–p11. G: 6q14–q27. H: 7p22–p11.2, 8p23–p12. I: 9p24–q21. J: 10p15–p12. 10q23–q26. K: 12p13. L: 13q (part 1). M: 13q (part 2). N: 14q11.2–q21, 14q24–q32. O: 15q13–q21, 17p13–p11.2, 18q12–q23. P: 19p13.1–p12, 19q13.2–q13.4, 20q11.2–q13.1. Q: Chr22.
