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Molecular Biology, Pathobiology and Genetics |
1 Mouse Cancer Genetics Program, National Cancer Institute at Frederick, and 2 Laboratory of Molecular Technology, Science Applications International Corporation-Frederick, Frederick, Maryland; 3 Department of Biostatistics, Johns Hopkins School of Public Health, Baltimore, Maryland; 4 Department of Pathology, Dana-Farber Cancer Center, Boston, Massachusetts; and 5 Center for Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts
Requests for reprints: Karlyne M. Reilly, Mouse Cancer Genetics Program, National Cancer Institute at Frederick, Room 32-31B, Building 560, West 7th Street at Fort Detrick, P.O. Box B, Frederick, MD 21702. Phone: 301-846-7518; Fax: 301-846-7017; E-mail: kreilly{at}ncifcrf.gov.
| Abstract |
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| Introduction |
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We and others have developed a mouse model to study NF1 by combining mutations in the murine Nf1 gene and Trp53 gene together on the same chromosome (NPcis mice; refs. 710). The product of the Nf1 gene, neurofibromin, is a rasGAP protein involved in the down-regulation of ras signaling. Because the Nf1 and Trp53 genes are closely linked on mouse chromosome 11, loss of the wild-type (wt) copies of the genes in this model occurs as a single genomic event, subsequently leading to concurrent up-regulation of ras signaling and loss of p53. These mice develop many of the malignancies associated with NF1 in patients, including aggressive peripheral nerve sheath tumors [genetically engineered murine (GEM) PNSTs; refs. 7, 9, 11] as well as malignant astrocytoma and glioblastoma (8, 10). Because these mice are on genetically well-defined strain backgrounds and the incidence of tumors is completely penetrant by 1 year of age, we are using these mice to investigate the genetic and epigenetic effects on tumor susceptibility. Candidate modifiers of tumor susceptibility can then be tested for their role in the variable expressivity of NF1.
There has been a growing appreciation over the past 20 years of the role of epigenetic changes in tumorigenesis (12). Much of the data have pointed to the role of methylation in the silencing of tumor suppressor genes or in the deregulation of imprinted gene expression as a step in tumorigenesis. In addition to epigenetic alterations, expression of imprinted genes may be altered by genomic changes such as the loss or reduplication of chromosomes. We have recently shown that an imprinted locus linked to Nf1 and Trp53 on mouse chromosome 11 affects susceptibility to astrocytoma depending on whether tumors lose the maternal or paternal copy of mouse chromosome 11 (10). This work has suggested that linkage of an imprinted locus to a tumor suppressor gene can influence the rate of tumorigenesis (for further discussion, see ref. 13).
In addition to interactions between imprinted loci and major tumor suppressor genes, such as Trp53, we wanted to test whether there were interactions between imprinted loci and low-penetrance polymorphic modifier genes. Modifier genes can alter the phenotype of mutations in tumor suppressor genes (or oncogenes) depending on the genetic background of the individual (14). Unlike the highly penetrant mutations in tumor suppressor genes, polymorphic modifier genes exert a more subtle effect through their normal functions by changing the efficiency of different steps in tumorigenesis. These steps could occur within the tumor cell, such as the efficiency of cell cycle checkpoints or DNA repair, or systemically in the organism, such as the efficiency of antitumor immune responses. We have further explored the role of the imprinted locus in the context of polymorphic modifier genes in the NPcis mouse model by focusing on GEM PNSTs. In this mouse model, GEM PNSTs arise at younger ages than astrocytomas and are easier to identify and to score as a binary trait, allowing us to map modifiers more quickly. Similar to human MPNSTs, the GEM PNSTs in NPcis mice show mitotic figures, spindle cells, nerves within the tumor, and are variably positive for the tumor markers S100, p75 (low-affinity nerve growth factor receptor), desmin, and collagen IV (Fig. 1; ref. 15). The majority of these tumors are negative for the rhabdomyosarcoma markers Myf4 and MyoD1 (data not shown; ref. 16) although we occasionally see tumors with regions of Myf4 and MyoD1 immunoreactivity (4 of 20 examined). This suggests that these tumors may also include malignant Triton tumors, a variant of MPNSTs seen in NF1 patients.
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| Materials and Methods |
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Genome-wide simple sequence length polymorphism genotyping. To map modifiers in (C57BL/6J x A/J) x C57BL/6J and C57BL/6J x (A/J x C57BL/6J) backcross progeny, we genotyped tail DNA at simple sequence length polymorphism markers (ResGen MapPairs, Invitrogen, Carlsbad, CA) listed in Supplementary Table S1 and ran them on 3% Metaphor agarose (Cambrex, East Rutherford, NJ) gels in 1x Tris-borate EDTA buffer.
Linkage analysis and statistical methods. We did multipoint, binary trait linkage analysis (17, 18) separately in individuals who received the mutation from their father and mother with the genetic mapping software R/qtl (19), an add-on package to the general statistical software R (20). We used a permutation test (21) to establish statistical significance. P values adjusted for the genome-wide scans were estimated as the proportion of permutation replicates in which the maximum LOD score, genome-wide, was greater than or equal to the observed LOD score.
Assessing allelic imbalance by single-nucleotide polymorphisms and simple sequence length polymorphisms. We designed TaqMan PCR assays for single-nucleotide polymorphisms using Assay-by-Design6 or Primer-Express software (Applied Biosystems, Inc., Foster City, CA; Supplementary Table S2). The ratio of C57BL/6J to A/J DNA in the tumor was determined by normalizing the samples to a standard curve of multiple ratios of C57BL/6J genomic DNA to A/J genomic DNA (The Jackson Laboratory, Bar Harbor, ME) using SDS2.1 (Applied Biosystems). We ran simple sequence length polymorphism markers on chromosomes 15 and 19 on tumor DNA as described above. Densitometry on the ethidium-stained bands was done using the AlphaEase FC software (version 4.0.1) on the AlphaInnotech ChemiImager 5500. Between 2 and 5 replicates were analyzed for each tumor sample and between 5 and 14 C57BL/6J x A/J F1 controls were analyzed to determine the reproducibility of the assays. Samples were determined to have allelic imbalance if they showed >30% change in C57BL/6J from the average C57BL/6J value in F1 controls and if the C57BL/6J value of the tumor DNA fell outside the 95% prediction interval (22) of the F1 mean.
Generation of the haplotype map. SNPview7 was used to search for haplotype blocks, ordered according to Public Assembly v.3a. Single-nucleotide polymorphism alleles C57BL/6J, C3H/HeJ, DBA/2J, A/J, 129S1/SvImJ, and CAST/EiJ and simple sequence length polymorphism alleles C57BL/6J and A/J were used to build the haplotype blocks. The region between 31.52 and 52.07 Mb on chromosome 15 and the region between 0 and 6.25 Mb on chromosome 19 were examined.
Determining syntenic regions in human MPNSTs. By comparing Mouse Genome Build 34 and Human Genome Build 35.1, the candidate regions were matched to human chromosomal regions using Comparative Maps.8
| Results |
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2 test; Table 1). We also found a marked reduction in GEM PNSTs in NPcis mice on DBA/2J x C57BL/6J F1 and CAST/EiJ x C57BL/6J F1 backgrounds (data not shown). We did not note any significant change in the age of onset of the GEM PNSTs on different strain backgrounds or in reciprocal crosses. The effect of strain background on astrocytoma and GEM PNST incidence suggests that polymorphic modifier genes act in tissue-specific ways. Of the seven strains compared with C57BL/6J, none showed an overall reduction in tumorigenesis that might suggest a global modification of Nf1 or Trp53. This is consistent with the idea that polymorphic modifier genes act on the context in which the cancer develops and on cell typespecific functions of Nf1 and/or Trp53.
In our previous study on astrocytoma susceptibility in NPcis mice, we showed that inheritance of NPcis mutant chromosome 11 from the mother increased susceptibility to astrocytoma (10). We therefore tested whether the inheritance of the NPcis mutant chromosome from the mother versus the father made a difference in GEM PNST incidence. We crossed C57BL/6J-NPcis fathers to wt C57BL/6J mothers and selected C57BL/6J-NPcis progeny for analysis. We similarly crossed C57BL/6J-NPcis mothers to wt C57BL/6J fathers and selected C57BL/6J-NPcis progeny for analysis. We aged the progeny of these two groups until tumors formed and compared the incidence of GEM PNSTs in the two populations (Table 1). Whereas the progeny of NPcis mothers (NPcismat) are more susceptible to astrocytoma, we found that the progeny of NPcis fathers (NPcispat) are more susceptible to GEM PNSTs (Table 1). This effect on susceptibility is independent of strain background and can be seen within the C57BL/6J-NPcis strain (P = 0.003,
2 test).
We also observe increased susceptibility to GEM PNSTs in NPcispat progeny when the strain background is varied. When C57BL/6J-NPcis fathers are crossed to wt A/J mothers, the NPcispat progeny are more susceptible to GEM PNST than the NPcismat progeny of C57BL/6J-NPcis mothers crossed to wt A/J fathers (P = 0.08,
2 test; Table 1). As a final test, we crossed C57BL/6J x A/J-NPcis fathers to wt C57BL/6J mothers and compared the NPcispat progeny to the NPcismat progeny of C57BL/6J x A/J-NPcis mothers crossed to wt A/J fathers. In this experiment, the A/J strain background is inherited from the opposite parent as the NPcis mutant mouse chromosome 11, controlling for imprinted effects in the strain background as opposed to imprinted effects linked to mouse chromosome 11. In the reciprocal backcrosses, increased susceptibility to GEM PNSTs is again associated with inheriting NPcis mutant chromosome 11 from the father, not the A/J strain background (P = 0.0002,
2 test; Table 1). This evidence shows that the effect of the reciprocal crosses on tumor susceptibility is not due to the mitochondrial genome or to the maternal influences on the embryo because these effects would be dependent on strain differences. We conclude that an imprinted locus on mouse chromosome 11 affects susceptibility to GEM PNST.
Because the F1 crosses showed that polymorphic modifier loci can affect the susceptibility to GEM PNSTs (Fig. 2) and the reciprocal crosses showed that an imprinted locus on mouse chromosome 11 can also affect susceptibility to GEM PNSTs (Table 1), we wanted to determine whether there was any genetic interaction between the imprinted locus and the polymorphic loci responsible for the strain-specific effects. We identified the polymorphic modifier loci by binary trait linkage analysis of backcross progeny (14, 19). We chose the A/J strain as the resistant test strain because of the availability of the genome sequence for comparison to C57BL/6J (23), as well as the availability of chromosome substitution strains (24), to aid in future refinement of the modifier loci. We backcrossed C57BL/6J x A/J-NPcis to wt C57BL/6J mice and phenotyped the backcross progeny for the presence or absence of GEM PNSTs when the mice were sacrificed due to tumor burden. A total of 254 backcross progeny were phenotyped and genotyped at 105 simple sequence length polymorphism markers with an average sweep radius of 8 cM. Binary trait linkage analysis of the pooled backcross progeny found no significant linkage of simple sequence length polymorphism markers to resistance to GEM PNSTs. However, when the backcross progeny were split into NPcismat and NPcispat progeny, significant linkage was found on two different chromosomes (Fig. 3) using a permutation test to determine the genome-wide adjusted significance threshold (P value) of 5% or less.
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If a polymorphic modifier gene acts cell-autonomously and dominantly to block tumor formation, the allele responsible for the resistance is more likely to be lost when tumors form than the allele that does not confer resistance (25). To determine whether Nstr1 and Nstr2 are lost in tumors and are likely to act within the tumor cell during initiation, we characterized 20 of the rare GEM PNSTs from the resistant C57BL/6J x A/J-NPcis background for allelic imbalance on mouse chromosome 15 and 19 (Fig. 4). MPNSTs are known to involve hyperproliferation of many stromal cell types, in addition to the tumor cells (1). We used quantitative methods to assess allelic imbalance because we expect the tumor samples to be contaminated with significant numbers of nontumor cells. Quantitative real-time PCR was used to analyze allelic imbalance at 110 single-nucleotide polymorphisms throughout the genome9 and densitometry of ethidium stained gels was used to further analyze 15 simple sequence length polymorphism markers on mouse chromosomes 15 and 19 to confirm the results (Supplementary Fig. S1). We found no allelic imbalance on mouse chromosome 15 in the region of Nstr2. In the genome-wide single-nucleotide polymorphism scan for allelic imbalance, mouse chromosome 15 was the least affected of any chromosome, with 6 of 13 tumors analyzed showing small regions of allelic imbalance (Fig. 4). None of the tumors showed loss at simple sequence length polymorphism marker D15Mit111. Allelic imbalance was found on mouse chromosome 19, with 9 of 20 tumors examined showing imbalance. Of the nine cases of allelic imbalance at the simple sequence length polymorphism marker D19Mit59, four showed reduction of the A/J allele, consistent with loss of a resistance modifier allele from the A/J strain. On mouse chromosome 19, we observed allelic imbalance in tumors from both NPcispat mice (3 of 7 tumors examined) and NPcismat mice (6 of 13 informative tumors examined). Although one might expect Nstr1 to be altered only in NPcispat tumors because NPcismat backcross progeny do not show linkage to Nstr1, the allelic imbalance measures the end state of the tumor whereas the linkage to Nstr1 in the backcross progeny measures the rate-limiting step in tumorigenesis. Loss of Nstr1 occurs in GEM PNSTs from both NPcispat and NPcismat but may only be rate limiting to tumorigenesis in NPcispat progeny. These data on allelic imbalance suggest that Nstr1 shows allelic imbalance in roughly half of tumors examined with equal preference for loss of the A/J allele and the C57BL/6J allele.
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A similar analysis of haplotype structure on mouse chromosome 19 between the centromere and D19Mit109 found one candidate region at 5.22 Mb, very close to the peak at D19Mit59 (Supplementary Fig. S2). At this location, the A/J strain shares a haplotype with DBA/2J. This region also overlaps with Mtes1, a modifier of breast cancer metastasis identified in mice (32). Interestingly, this region is syntenic with human chromosome 11q13, a region found to be specifically deleted in two MPNSTs (30, 33) and specifically amplified in one MPNST (33). In addition, translocations between human chromosome 11q13 and chromosome 15p11 (30), chromosome 19p13 (34), and chromosome 19q13 (30) have been reported. Taken together, these data are consistent with the presence of a polymorphic modifier gene affecting both GEM PNSTs and MPNSTs on proximal mouse chromosome 19 and human chromosome 11q13.
| Discussion |
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The reciprocal effect of mouse chromosome 11 inheritance on susceptibility to astrocytoma and GEM PNST is interesting and raises questions about the nature of the imprinted gene causing the effect. A recent study has identified 37 candidate imprinted genes on mouse chromosome 11 using a bioinformatics approach (36), in addition to the two confirmed imprinted genes on mouse chromosome 11, Grb10 (37, 38) and U2af1-rs1 (39). It is possible that there are two unrelated imprinted genes on mouse chromosome 11 affecting astrocytoma and GEM PNSTs independently, with opposite imprinting. Alternatively, a single imprinted gene on mouse chromosome 11 may act as an oncogene in one tissue type and as a tumor suppressor gene in the other, such that, for example, loss of the paternal chromosome leads to increased tumorigenesis in one tissue and reduplication of the paternal chromosome leads to increased tumorigenesis in the other. Another possibility is that a single gene is expressed from different parental chromosomes in the two tissue types but has a similar function (as an oncogene or tumor suppressor gene) in the two tissues. In the example of an imprinted tumor suppressor gene, loss of the wt paternal mouse chromosome 11 would lead to increased astrocytoma whereas loss of the wt maternal mouse chromosome 11 would lead to increased GEM PNST. It is interesting to note that Grb10 has been shown to be expressed from the paternal chromosome in the brain and from the maternal chromosome in other organs in a highly isoform-specific manner (37, 38). Finally, differences in gene silencing on mouse chromosome 11 between the two tissues types may cause sequestering of the maternal or paternal chromosome. This may lead to differences in the mutation rate or kinetics of chromosome loss for a particular parental chromosome, leading to a secondary effect on the rate of mutation of the wt copies of Nf1 and Trp53.
The importance of epigenetic changes in human cancer is now well established (see ref. 12 for review) with changes in dosage levels of imprinted genes such as IGF2 (40, 41) affecting the rate of tumorigenesis. The monoallelic expression of imprinted genes acts similarly to the first "hit" in Knudson's two-hit model of cancer (42), with the second hit occurring either through epigenetic mechanisms (loss of imprinting) or through genetic mechanisms. An example of genetic changes acting to alter imprinted gene expression was first shown in human rhabdomyosarcomas (43) where maternal human chromosome 11p15 is preferentially lost and paternal human chromosome 11p15 is duplicated. More recently, susceptibility to succinate dehydrogenase D (SDHD)linked paraganglioma was found to be inherited by paternal transmission of the mutant SDHD gene. Because SDHD is biallelically expressed, it has been proposed that a linked imprinted gene on human maternal chromosome 11 is lost when the wt allele of SDHD is lost. In this way, inheritance of SDHD mutation from the father has a long-distance effect on a linked imprinted gene. Our data in the NPcis mouse model show a very similar effect, with concomitant loss of the wt copy of Trp53 and Nf1 with another imprinted locus on mouse chromosome 11.
We have analyzed here for the first time the genetic interaction between an imprinted locus and polymorphic loci and its effects on cancer susceptibility. The imprinted locus on mouse chromosome 11 interacts epistatically with a network of other loci to affect resistance to GEM PNSTs. In the case of NPcispat mice with increased susceptibility to GEM PNSTs, a locus on chromosome 19 on the A/J strain background acts to increase resistance. In the case of NPcismat mice with reduced susceptibility, a locus on chromosome 15 on the A/J strain background further increases the resistance to GEM PNST. The relevance of these results to human NF1 patients is supported by the overlap of these loci with regions altered in MPNSTs. Consistent with these loci being low-penetrance modifiers for MPNST susceptibility, we see evidence for changes in these genomic regions in a relatively low number of mouse and human tumors. However, the observation that these regions are translocated in multiple human tumors suggests that these rearrangements are not random. Identification of modifiers of NF1 in mouse models will allow these modifiers to be tested directly in human association studies, specifically in cases where tumors can be tested for the change in expression of candidate imprinted genes. These data show that polymorphic modifier genes affect tumorigenesis under very specific conditions. The understanding of these conditions will allow for more accurate risk assessment in the future and genetic counseling for individuals at high risk for cancer.
| Acknowledgments |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
We thank M. Perella, K. Fox, D. Crowley, A. Caron, and K. Mercer for technical assistance and N. Copeland, S. Sharan, and M. McLaughlin for helpful discussions.
| Footnotes |
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The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services nor does mention of trade names, commercial products, or organizations imply endorsements by the U.S. Government.
6 http://www.appliedbiosystems.com. ![]()
8 http://www.ncbi.nlm.nih.gov/Homology/. ![]()
4 S. Tsang, Z. Sun, J. Diehl, K. Reilly, and D. Munroe, in preparation. ![]()
Received 4/28/05. Revised 9/20/05. Accepted 10/20/05.
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