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Molecular Biology, Pathobiology, and Genetics |
1 Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina and 2 Johns Hopkins Medical Institutions, Baltimore, Maryland
Requests for reprints: William B. Isaacs, Johns Hopkins Hospital, Marburg 115, 600 North Wolfe Street, Baltimore, MD 21287. Phone: 410-955-2518; Fax: 410-955-0833; E-mail: wisaacs{at}jhmi.edu or Jianfeng Xu, Center for Human Genomics, Medical Center Boulevard, Winston-Salem, NC 27157. Phone: 336-713-7500; Fax: 336-713-7566; E-mail: jxu{at}wfubmc.edu.
| Abstract |
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1.4 Mb at 8p23.1 and
3.1 Mb at 8p21.3. These smaller consensus regions may facilitate a more effective search for prostate cancer genes at 8p. [Cancer Res 2007;67(9):4098103] | Introduction |
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Furthermore, results from genetic linkage studies have provided evidence for prostate cancer linkages at 8p (4, 5). In the largest genome-wide linkage analysis done to date, Xu et al. (5) found suggestive evidence for linkage at 8p21, one of the five most significant in the genome, among 1,233 prostate cancer families of the International Consortium for Prostate Cancer Genetics (ICPCG). Similar to the results of somatic deletion studies, few genes in this 8p region have been consistently implicated as major prostate cancer susceptibility genes accounting for the 8p linkage. One of the major difficulties is the low resolution of genetic linkage studies, which are typically in the range of 10 to 20 cM, due to limited meiosis events in families. For example, the 1-LOD drop interval of 8p21 linkage identified in the ICPCG study was 13 cM (3952 cM) or 10 Mb (2232 Mb).
Cancers are thought to arise as a result of alterations in expression of tumor suppressor genes and oncogenes in prostate epithelial cells. Altered gene expression may result from inherited genetic changes and acquired somatic genetic changes, including deletions, as hypothesized by the "two-hit" model (6). Therefore, assuming that at least some fraction of prostate cancers arise from a combination of inherited and acquired genomic events affecting the same gene or combination of genes, studies that simultaneously examine inherited genetic changes and somatic genetic alterations of chromosomal regions or genes may improve the likelihood of identifying genes involved in cancer development.
In this study, we have taken three steps to identify genomic regions that contain prostate cancer genes. First, we used high-resolution Affymetrix single nucleotide polymorphism (SNP) arrays to examine detailed deletion patterns at 8p among 55 prostate cancers. Second, we did a fine mapping linkage analysis in 206 hereditary prostate cancer (HPC) families. Finally and more importantly, we integrated results from somatic deletion analysis and germline linkage analysis to identify a consensus region.
| Materials and Methods |
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We used Affymetrix SNP array panels to detect DNA copy number alterations, and for this study, we focused entirely on 8p deletions. We used the 100K SNP array for the first 22 subjects (3) and then used the 500K SNP array for the final 41 subjects (eight samples were analyzed using both 100K and 500K arrays). For all subjects, we analyzed both tumor DNA and normal DNA from the same subject using Affymetrix SNP arrays (either 100K or 500K array). The normal DNAs were extracted from histologically normal prostate tissue from the same prostate or from the seminal vesicle of the same patient. DNA copy number was calculated based on allele intensity using two different software packages: Copy Number Analyzer for Affymetrix GeneChip (CNAG2.0; ref. 8) and dChip analyzer (9). Allele-specific analysis was also done to estimate DNA copy number for each chromosome using CNAG2.0. The physical positions of detected deletions were based on the Human hg17 Assembly (NCBI Build 35). The criteria used in dChip analysis for this study are similar to those used for the 100K SNP array analyses using CNAT, which has been described in our previous publication (3). Briefly, to reduce random noise in allele intensity at individual SNPs, we first estimated DNA copy number based on flanking SNPs in the region, using the 10-SNP smoothing setting of dChip software to obtain a genome smooth average copy number (GSACN) for each SNP. We then defined deletions using the following working criteria: a minimum of four consecutive SNPs with at least three of them having the following characteristics: the GSACN ratios of tumor/matched normal <0.75, the GSACN of the tumor DNA <1.9, and the minimum physical length of the putative deletion
2 kb. To define deletions using CNAG2.0 software (for both intensity-based and allele-specific analyses), we also used a 10-SNP smoothing setting to minimize random variations at individual SNPs. Each deletion is defined by whether the log 2 ratio of probe intensity is below (no overlap) with the baseline log 2 ratio defined by the matched normal DNA. The baseline log 2 ratio has a theoretical value of zero, with small variations due to random noise (as shown in Fig. 1
). The results from all three analyses are in agreement with each other, except that the boundaries of the deletions defined by different analyses varied from one to five SNPs.
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Linkage analysis in prostate cancer families and construction of a recombinant map. All 206 HPC families were collected and studied at the Brady Urology Institute at Johns Hopkins Hospital (Baltimore, MD) as described previously (4). Prostate cancer diagnosis was verified by medical records for each affected male studied. Age at diagnosis of prostate cancer was confirmed either through medical records or from two other independent sources. The mean age at diagnosis was 64.3 years for the cases in these families. Eighty-four percent of the families are non-Jewish Caucasians, 6.9% are Ashkenazi Jewish, and 8.8% are African Americans.
Thirty fine mapping microsatellite markers spanning about 35 Mb at 8p were genotyped in these 206 HPC families. Following multiplex PCR using fluorescently labeled primers, the resulting PCR fragments were separated using capillary electrophoresis using an ABI 3700 sequencer. Marker allele frequencies were estimated from the 214 independent individuals in the data set. The marker order and distances were primarily based on information available from the MAP-O-MAT web site (10). Four markers were not available in the MAP-O-MAT web site; their order and distances were interpolated from the University of California Santa Cruz (UCSC) Genome Browser.3 Multipoint linkage analyses were done using both parametric and nonparametric methods implemented by the computer program GENEHUNTER-PLUS (11, 12). For the parametric analysis, the same autosomal-dominant model that was used by Smith et al. (13) was assumed. For the nonparametric analysis, the estimated marker identical by descent (IBD) sharing of alleles for the various affected relative pairs was compared with its expected values under the null hypothesis of no linkage (NPL). A statistical "Z-all" in the program was used (14). Allele sharing LOD scores were then calculated based on the statistical "Z-all" and assigning equal weight to all families using the computer program ASM (12).
| Results |
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Ct = 0.90) and being flanked by hemizygous deletions at the LOXL2 locus (
Ct = 0.38; Fig. 1B). The pattern of deletions observed among the partial 8p deletions suggests the presence of two smaller deletion regions. In particular, a region at 8p21.3-8p21.2, spanning from 20.6 to 23.7 Mb, was deleted in all 29 tumors (Fig. 1A, solid vertical lines). We detected another deleted region spanning from 9.8 to 11.5Mb at 8p23.1 that is shared by 28 of the 29 tumors (Fig. 1, dotted vertical lines). The primary reason these regions seem to be separated is due to the three tumors with interstitial deletions.
Prostate cancer linkage region. Linkage analysis of 206 prostate cancer families provided evidence for a susceptibility gene at 8p from both parametric (using a dominant model) and nonparametric linkage analyses (Fig. 2
). Interestingly, two separate linkage peaks were observed. One peak was found at the marker D8S258 of 8p21.3 (20,411,446), with a LOD score of 2.51 (P = 0.0007) and an NPL score of 3.14. The 1-LOD drop interval spanned
4 Mb, between 19.6 and 23.9 Mb. The other peak was found at the marker D8S503 of 8p23.1 (9,270,543), with a LOD score of 1.50 (P = 0.009) and an NPL score of 2.72. The 1-LOD drop interval spanned
5.4 Mb, between 5.8 and 11.2 Mb. There were 49 families with LOD scores > 0.588 (Pnominal = 0.05) within the 8pter-8p12 region, with all but two of these families being linked to at least one of the two regions described above. Among these families, 18 families had positive LOD scores across these two regions, 16 families had positive LOD scores only at 8p21.3, and 13 families had positive LOD scores only at 8p23.1.
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3-Mb 8p21.3 consensus region. Ten known genes are located within this homozygous deletion region. | Discussion |
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3.1 Mb at 8p21.3 and
1.4 Mb at 8p23.1. These much smaller consensus regions will likely facilitate more effective searches for prostate cancer genes at 8p. The high-resolution SNP arrays provide a better tool to identify small DNA copy number alterations and to examine detailed patterns of deletions. With a denser resolution of SNPs covering the 8p region, combined with allele specific analysis, we were able to detect small deletions and better define the boundaries of deletions. In addition, the high density of SNPs revealed interstitial 8p deletions in three cancers. These findings allowed us to identify two small overlapping deleted regions at 8p21.3 and 8p23.1. It is interesting to note that these two separate deleted regions are within the single 27.1-Mb deleted region at 8p identified from a combined analysis of 891 prostate cancers as the most deleted region in the genome (2). Our current study provides evidence that the previously known commonly deleted region may consist of two separate deleted regions.
The fine mapping panel of 29 markers at 8p in our linkage study, with an average of
1-cM resolution, provides a better tool to dissect detailed linkage patterns among the 206 HPC families. In this study, we were able to confirm prostate cancer linkage at 8p among a large number of prostate cancer families. More importantly, we were able to obtain statistical evidence for two separate linkage regions. One of the linkage regions (19.623.9 Mb at 8p21.3) overlapped with the 1-LOD drop interval at 8p21 (2232 Mb) reported from 1,233 ICPCG prostate cancer families (5).
As hypothesized in the "two-hit" model (10, 11), inherited genetic defects, combined with acquired somatic changes, ultimately alter the expression and/or function of tumor suppressor genes and lead to cancer. Therefore, approaches that combine information from germline and somatic studies may provide better power to identify cancer genes. This combined approach has been successfully used to identify the APC gene for familial adenomatous polyposis (FAP). Results from genetic linkage studies in FAP families, somatic loss of heterogeneity analysis, and an interstitial germline deletion all converged to a small region at 5q21 and led to the identification of the APC gene (17). Although there are large differences between the rare syndrome of FAP and prostate cancer, the principle of the "two-hit" model may still apply, and our combined approach represents a critical step toward the identification of prostate cancer genes at 8p.
It is interesting that both somatic deletion analysis of prostate tumors and germline linkage analysis of prostate cancer families identified the same genomic regions. Although by no means conclusive, this overlap is consistent with the hypothesis that the same gene or genes is affected both at the germline and somatic levels. Unfortunately, because tumor tissue is not available from the families linked to this region, we can not determine whether the non-linked allele is more likely to undergo somatic deletion, as is observed in multiple inherited cancer syndromes. The observation that most tumors with 8p deletions have deleted both of the implicated regions, and that at least some prostate cancer families are linked to both regions, suggests that multiple genes in these intervals may need to be affected before prostate carcinogenesis can proceed effectively. In any event, the results of this integrated analysis improve the confidence that these two regions most likely contain prostate cancer genes as well as provide more detailed positional information regarding the genomic regions harboring these genes.
In summary, we have combined genetic linkage information with somatic deletion mapping in an attempt to refine the localization of prostate cancer genes on the short arm of chromosome 8. The genomic intervals narrowed by this combined approach provide novel positional information useful for the eventual identification of specific genes important in prostate carcinogenesis.
| 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 all the study subjects who participated in this study.
| Footnotes |
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Received 12/12/05. Revised 1/24/07. Accepted 2/ 9/07.
| References |
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