Coexistence of copy number increases of ZNF217 and CYP24A1 in colorectal cancers in a Chinese population
- Authors:
- Published online on: September 1, 2010 https://doi.org/10.3892/ol_00000163
- Pages: 925-930
Abstract
Introduction
Colorectal cancer (CRC) is the third most common cancer in the Chinese population and causes approximately 130,000 deaths per year. The lifetime risk in the Chinese population is approximately 4.2%. Both genetic and environmental factors contribute to the disease etiology, with one-third of disease variance attributed to inherited genetic factors (1). Chromosomal aberrations, such as deletions, amplifications and structural rearrangements, are hallmarks of cancer (2,3). The implication of copy number variations (CNVs) in cancer has become a hot spot over the past few years (4–6). Studies using single nucleotide polymorphism arrays and array comparative genomic hybridization (aCGH) have suggested that DNA amplification at the chromosome position 20q is common in CRCs (7–10). Gain of chromosome 20q is reported to correlate with lymph node metastasis in gastric cancer and poor clinical outcome in CRCs (11,12). Moreover, copy number changes in the chromosome 20q13.2 region correlate with the metastasis of CRCs (13).
Chromosomal aberrations in tumors lead to DNA copy number alterations, with an associated gain or loss of genes crucial for tumor progression (14–18). The majority of the aCGH experiments have focused on the genome-wide screening of CNVs, and the data obtained are generally informative, but not definitive. Thus, further molecular genetic experiments are necessary for validation. Mapping of the amplified region at 20q13.2 has led to the positional cloning and characterization of zinc-finger protein 217 (ZNF217) (19) and 25-hydroxy vitamin D3 24-hydroxylase (CYP24A1) (20,21), which are considered to be candidate oncogenes involved in CRCs.
ZNF217, a Rappel-like zinc-finger protein, is a candidate oncogene located at 20q13.2, within a region of recurrent maximal amplification. ZNF217 proteins localize predominantly to the nucleus and associate with proteins involved in transcriptional repression. The overexpression of ZNF217 in cultured human mammary and ovarian epithelial cells results in their immortalization (22), indicating that selection for ZNF217 expression may drive 20q13.2 amplification during critical early stages of cancer progression. The inappropriate expression of ZNF217 may lead to the aberrant down-regulation of genes involved in limiting the proliferation, survival and/or invasiveness of cancer cells (23). The CYP24A1 gene, also located at chromosome 20q13.2, encodes a member of the cytochrome P450 superfamily of enzymes. The CYP24A1 protein is considered to be the main enzyme determining the biological half-life of 1, 25-D3. The overexpression of CYP24A1 reduced local 1, 25-D3 availability and decreased its anti-proliferative effect. Thus, it has been identified as a potential biomarker for colorectal tumorigenesis (20,24).
In this study, 145 CRC tissues and matched adjacent normal tissues were collected for CNV analysis. The significance of the CNVs of ZNF217 and CYP24A1 in the colorectal malignancies were examined and the coexistence of copy number increases of ZNF217 and CYP24A1 in CRC compared to the adjacent normal tissues was noted.
Materials and methods
Patients and tissue collection
Colorectal cancer samples were obtained from 145 surgical patients at the Department of Gastroenterology, Shenzhen Hospital and Peking University. Adjacent normal mucosa samples located at least 2 cm from the macroscopically unaffected margins of the tumor (polyp or carcinoma) were defined as normal controls. A total of 134 tumors were found to be adenocarcinomas and 11 were mucinous carcinomas (when >50% of the tumor volume was composed of mucin). Colorectal cancers were staged according to the Dukes’ classification system: Dukes’ A (T1-T2, N0 and M0; n=43), Dukes’ B (T3-T4, N0 and M0; n=39), Dukes’ C (any T, N1–2 and M0; n=48) and Dukes’ D (any T, any N and M1; n=15). Samples of colorectal carcinomas (n=145) and matched normal colonic mucosa (n=145) were subjected to real-time PCR analysis. CRC samples were collected from patients undergoing bowel resection. The collected samples were stored in liquid nitrogen. All 145 patients were informed regarding the intent of the specimen collection and provided signed written consent in accordance with the ethical guidelines of Peking University. Bone marrow samples from 152 healthy controls were also collected at the Peking University People’s Hospital. The study was approved by the Ethics Committee of Peking University, Shenzhen Hospital.
DNA extraction and quantification of copy numbers
Genomic DNA was isolated from the tissues using the Genomic DNA Extraction kit (Innocent, Shenzhen, P.R. China) according to the manufacturer’s instructions. Quantitative PCR was performed using the BioRad Chromo4 real-time PCR system. Average copy numbers (n=2) of RNAse P in normal candidates were used as the control (13). The copy numbers of ZNF217 and CYP24A1 were calculated by using the comparative C(T) method. Cut-off values of 0.25, 0.75, 1.25 and 1.75 were used to define the copy numbers as 0, 1, 2 and 3, respectively. The primers were: RNAse P, forward 5′-AGA CTA GGG TCA GAA GCA A-3′ and reverse 5′-CAT TTC ACT GAA TCC GTT C-3′; CYP24A, forward 5′-ATA TCC AAC TCA GGG AAG CG-3′ and reverse 5′-GAA GAT GGT GCT GAC ACA GG-3′; and ZNF217, forward 5′-TCC ATA GAG CAA GGG TAA TCC-3′ and reverse 5′-TGC CAA CAG ACT GAT CTC AA-3′.
The fold change of each sample was presented as: fold change = relative expression level/average expression level in the group with two copies of DNA.
RNA extraction and real-time PCR
Total RNA was isolated from tissues using the AxyPrep™ Blood Total RNA MiniPrep kit (Axygen) according to the manufacturer’s instructions. First strand cDNA was synthesized with the RevertAid™ First Stand cDNA Synthesis kit (Fermentas). Quantitative PCR was performed using the BioRad Chromo4 real-time PCR system. At the endpoint of PCR cycles, melting curves were constructed to check product purity. The mRNA level of ZNF217 and CYP24A1 was expressed as a ratio relative to the GAPDH mRNA in each sample. Exploratory data analysis using box plots was applied to visually identify the expression level of target mRNA.
Statistical analysis
Stastistical analysis was performed using the Chi-square or Fisher’s exact test. P<0.05 was considered to be statistically significant.
Results
Gene copy number gains of ZNF217 and CYP24A1 in CRC samples
To investigate whether the CNVs of ZNF217 and CYP24A1 in CRCs were acquired or inherited DNA aberrations, we collected 152 genomic DNA samples from healthy individuals for CNV analysis and compared them to the adjacent normal tissues (ANTs) from the CRC patients. As shown in Table I, no statistical difference in copy number distribution between the ANTs and healthy normal controls was observed, which indicated that the CNVs of the two genes in CRCs were more likely to be ‘acquired’. Moreover, ANTs may have been used as controls for the cancer tissues in this study.
Table IComparison of copy number variations of CYP24A1 and ZNF217 between adjacent normal tissues and healthy normal controls from peripheral blood. |
Table II shows the CNVs of ZNF217 and CYP24A1 in CRC samples and the matched ANTs. A total of 145 CRC samples were examined. A relatively high percentage of CRC samples showed an amplification of CYP24A1 (51.1%, 74 out of 145) and ZNF217 (60%, 87 out of 145). A copy number increase of ZNF217 and CYP24A1 was observed in all stages of CRC, and a significant correlation was found between the gene copy number gains of CYP24A1 and ZNF217 and tumor progression (P<0.05). Co-existent increases of CYP24A1 and ZNF217 were found in a relatively high percentage of CRC samples with copy number amplification of CYP24A1 (64.7%, 33 out 51) and ZNF217 (55.9%, 33 out of 59).
Table IICopy number variations of CYP24A1 and ZNF217 in colorectal cancer tissues and matched adjacent normal tissues. |
ZNF217, but not CYP24A1, shows a positive correlation between copy number increases and mRNA overexpression
To determine whether the CNVs of ZNF217 and CYP24A1 have a genotype-phenotype correlation in CRCs, we first compared the mRNA expression levels of CYP24A1 and ZNF217 between the CRC samples and the matched ANTs by quantitative real-time RT-PCR. As shown in Fig. 1A and B, increased mRNA expression levels of both CYP24A1 and ZNF217 were observed in the CRC tissues compared to the ANTs. These results were consistent with previous findings (19,20).
Gene CNVs contribute to qualitative and quantitative diversities in their gene products. We selected the samples with increased or unaltered copies of ZNF217 and CYP24A1 and tested whether the mRNA expression levels of ZNF217 and CYP24A1 correlated with the copy numbers. The samples with decreased copies of CYP24A1 (7 out of 145) and ZNF217 (4 out of 145) were not included due to the small sample size. As shown in Fig. 1C and D, the CRC samples in the group with amplified copies of CYP24A1 and ZNF217 showed a markedly increased mRNA expression compared to the ANTs (P<0.01). However, the groups with unaltered copies of CYP24A1 and ZNF217 also showed a relatively increased mRNA expression in the CRC samples (P<0.05). No significantly statistical difference in the mRNA expression was present between the CRC samples in the groups with amplified and unaltered copies of CYP24A1 (P=0.092). By contrast, the group with DNA amplification of ZNF217 showed an increased mRNA expression compared to that with unaltered DNA copies (P<0.05).
Discussion
Although cancer is widely regarded as an acquired disease, familial predisposition plays a significant role in many cancer types. A number of highly penetrant cancer-predisposing genes correlated with CRC have been identified [DNA mismatch repair genes (25), APC, SMAD4, BMPR1A and MUTYH (26)]. However, these genes explain only a fraction of the familial and/or hereditary cases of cancer. CNVs identified by CGH and array technology have the potential to directly or indirectly impact the susceptibility of a healthy individual to cancer, for example by varying the gene dosage of tumor suppressors or oncogenes (14,27). However, many discrepancies exist among previous studies which used high-resolution approaches to screen CNVs (28–32). Thus, validation of such CNVs using a large number of clinical samples is required.
It has been suggested that the genes present in very small regions of CNVs are excellent candidates for evaluation in cancer pathogenesis (33). Examination of the CNVs for such genes aids in the understanding of the roles these CNVs play. A previous study found that the chromosome 20q13.2 region involving ZNF217 and CYP24A1 was amplified in CRC samples (13). Findings of this study showed that the amplification of ZNF217 (87 out of 145) and CYP24A1 (74 out of 145) was common in CRC samples in the Chinese patient population studied. Furthermore, CNVs of CYP24A1 and ZNF217 were found to correlate with gastric cancer progression. Co-existent increases of CYP24A1 and ZNF217 were found in a relatively high percentage of CRC samples with copy number changes, which may be due to the co-localization of these changes on the chromosome. However, we found that ZNF217 and CYP24A1 were also deleted in a small percentage of samples (4 and 7 out of 145, respectively). This discrepancy may be due to the different races and populations used in the studies as well as the different research methodologies. In contrast, we used a gene-specific strategy to target short fragments (several hundred base-pairs) with an increase in sensitivity.
CNVs are considered to have a genotype-phenotype correlation. Phenotypic effects of genetic differences, such as CNVs, are likely to be caused by changes in expression levels (34–36). We investigated the correlation between the mRNA expression levels of ZNF217 and CYP24A and the copy numbers of their DNA. Notably, the correlation was not as positive as expected, although a statistical difference was obtained. This result is consistent with two recent reports which assessed an over-representation of differentially expressed genes among CNV-mapping transcripts and observed a weak but significant positive correlation between the relative expression level and gene dosage (37,38). In the present study, the CRC samples with increased CYP24A1 copies showed an enhanced expression level of mRNA, similar to the samples with unaltered DNA copies. The significantly altered CYP24A1 expression in CRCs may be due mainly to another mechanism (such as methylation). However, in the case of ZNF217, a statistical difference in mRNA expression was observed between the groups with amplified and unaltered DNA copies. CNVs thus played a role in the overexpression of the ZNF217 mRNA in CRCs.
In a small percentage of samples, the recorded relative expression levels were inversely correlated with copy numbers (Table III). This type of inverse correlation was also noted in previous studies (37,38). The mechanism of this phenomenon is poorly understood, but may be elucidated by two models. In the first model, a negative correlation between the number of copies and relative expression is explained by immediate early genes, which directly or indirectly induce the expression of a repressor that, by a negative feedback loop, reduces or even abolishes the expression of the CNV gene. In the second model, the extra copies of a gene impair, through steric hinderance, the access of genes to a specific transcription factor, where this particular locus should be transcribed (39).
Taken together, our findings showed that the CNVs of ZNF217 and CYP24A1 have the potential to serve as diagnostic indicators for colorectal malignancies, alone or in combination with other markers. A copy number increase of ZNF217 was correlated with the overexpression of mRNA in the CRCs. However, the role of CNVs, the different characteristics of CNVs between colorectal and other gastrointestinal malignancies and the underlying mechanisms of the heterogeneous expression levels require extensive investigation in the future.
References
Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, Pukkala E, Skytthe A and Hemminki K: Environmental and heritable factors in the causation of cancer-analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med. 343:78–85. 2000. View Article : Google Scholar | |
Pinkel D and Albertson DG: Comparative genomic hybridization. Annu Rev Genomics Hum Genet. 6:331–354. 2005. View Article : Google Scholar | |
Hupe P, Stransky N, Thiery JP, Radvanyi F and Barillot E: Analysis of array CGH data: from signal ratio to gain and loss of DNA regions. Bioinformatics. 20:3413–3422. 2004. View Article : Google Scholar : PubMed/NCBI | |
Andrews J, Kennette W, Pilon J, Hodgson A, Tuck AB, Chambers AF and Rodenhiser DI: Multi-platform whole-genome microarray analyses refine the epigenetic signature of breast cancer metastasis with gene expression and copy number. PLoS One. 5:e86652010. View Article : Google Scholar : PubMed/NCBI | |
Diskin SJ, Hou C, Glessner JT, et al: Copy number variation at 1q21.1 associated with neuroblastoma. Nature. 459:987–991. 2009. View Article : Google Scholar : PubMed/NCBI | |
Liu W, Sun J, Li G, et al: Association of a germ-line copy number variation at 2p24.3 and risk for aggressive prostate cancer. Cancer Res. 69:2176–2179. 2009. View Article : Google Scholar : PubMed/NCBI | |
Nakao K, Mehta KR, Fridlyand J, Moore DH, Jain AN, Lafuente A, Wiencke JW, Terdiman JP and Waldman FM: High-resolution analysis of DNA copy number alterations in colorectal cancer by array-based comparative genomic hybridization. Carcinogenesis. 25:1345–1357. 2004. View Article : Google Scholar : PubMed/NCBI | |
Ashktorab H, Schaffer AA, Daremipouran M, Smoot DT, Lee E and Brim H: Distinct genetic alterations in colorectal cancer. PLoS One. 5:e88792010. View Article : Google Scholar : PubMed/NCBI | |
Carvalho B, Postma C, Mongera S, et al: Multiple putative oncogenes at the chromosome 20q amplicon contribute to colorectal adenoma to carcinoma progression. Gut. 58:79–89. 2009. View Article : Google Scholar : PubMed/NCBI | |
De Angelis PM, Stokke T, Beigi M, et al: Chromosomal 20q gain in the DNA diploid component of aneuploid colorectal carcinomas. Int J Cancer. 120:2734–2738. 2007.PubMed/NCBI | |
Aust DE, Muders M, Kohler A, Schmidt M, Diebold J, Muller C, Lohrs U, Waldman FM and Baretton GB: Prognostic relevance of 20q13 gains in sporadic colorectal cancers: a FISH analysis. Scand J Gastroenterol. 39:766–772. 2004. View Article : Google Scholar : PubMed/NCBI | |
Postma C, Terwischa S, Hermsen MA, van der Sijp JR and Meijer GA: Gain of chromosome 20q is an indicator of poor prognosis in colorectal cancer. Cell Oncol. 29:73–75. 2007.PubMed/NCBI | |
Hidaka S, Yasutake T, Takeshita H, Kondo M, Tsuji T, Nanashima A, Sawai T, Yamaguchi H, Nakagoe T, Ayabe H and Tagawa Y: Differences in 20q13.2 copy number between colorectal cancers with and without liver metastasis. Clin Cancer Res. 6:2712–2717. 2000.PubMed/NCBI | |
Dear PH: Copy-number variation: the end of the human genome? Trends Biotechnol. 27:448–454. 2009. View Article : Google Scholar : PubMed/NCBI | |
John T, Liu G and Tsao MS: Overview of molecular testing in non-small-cell lung cancer: mutational analysis, gene copy number, protein expression and other biomarkers of EGFR for the prediction of response to tyrosine kinase inhibitors. Oncogene. 28(Suppl 1): 14–23. 2009. View Article : Google Scholar : PubMed/NCBI | |
Sanchez-Cespedes M: The impact of gene expression microarrays in the evaluation of lung carcinoma subtypes and DNA copy number. Arch Pathol Lab Med. 132:1562–1565. 2008.PubMed/NCBI | |
Speleman F, Kumps C, Buysse K, Poppe B, Menten B and De Preter K: Copy number alterations and copy number variation in cancer: close encounters of the bad kind. Cytogenet Genome Res. 123:176–182. 2008. View Article : Google Scholar : PubMed/NCBI | |
Venkatachalam R, Ligtenberg MJ, Hoogerbrugge N, Geurts van Kessel A and Kuiper RP: Predisposition to colorectal cancer: exploiting copy number variation to identify novel predisposing genes and mechanisms. Cytogenet Genome Res. 123:188–194. 2008. View Article : Google Scholar : PubMed/NCBI | |
Rooney PH, Boonsong A, McFadyen MC, McLeod HL, Cassidy J, Curran S and Murray GI: The candidate oncogene ZNF217 is frequently amplified in colon cancer. J Pathol. 204:282–288. 2004. View Article : Google Scholar : PubMed/NCBI | |
Horvath HC, Lakatos P, Kosa JP, Bacsi K, Borka K, Bises G, Nittke T, Hershberger PA, Speer G and Kallay E: The candidate oncogene CYP24A1: A potential biomarker for colorectal tumorigenesis. J Histochem Cytochem. 58:277–285. 2010. View Article : Google Scholar : PubMed/NCBI | |
McCullough ML, Bostick RM and Mayo TL: Vitamin D gene pathway polymorphisms and risk of colorectal, breast, and prostate cancer. Annu Rev Nutr. 29:111–132. 2009. View Article : Google Scholar : PubMed/NCBI | |
Li P, Maines-Bandiera S, Kuo WL, Guan Y, Sun Y, Hills M, Huang G, Collins CC, Leung PC, Gray JW and Auersperg N: Multiple roles of the candidate oncogene ZNF217 in ovarian epithelial neoplastic progression. Int J Cancer. 120:1863–1873. 2007. View Article : Google Scholar : PubMed/NCBI | |
Quinlan KG, Verger A, Yaswen P and Crossley M: Amplification of zinc finger gene 217 (ZNF217) and cancer: when good fingers go bad. Biochim Biophys Acta. 1775:333–340. 2007.PubMed/NCBI | |
King AN, Beer DG, Christensen PJ, Simpson RU and Ramnath N: The vitamin D/CYP24A1 story in cancer. Anticancer Agents Med Chem. 10:213–224. 2010. View Article : Google Scholar : PubMed/NCBI | |
Barnetson RA, Tenesa A, Farrington SM, Nicholl ID, Cetnarskyj R, Porteous ME, Campbell H and Dunlop MG: Identification and survival of carriers of mutations in DNA mismatch-repair genes in colon cancer. N Engl J Med. 354:2751–2763. 2006. View Article : Google Scholar : PubMed/NCBI | |
Tenesa A, Campbell H, Barnetson R, Porteous M, Dunlop M and Farrington SM: Association of MUTYH and colorectal cancer. Br J Cancer. 95:239–242. 2006. View Article : Google Scholar : PubMed/NCBI | |
Shlien A, Tabori U, Marshall CR, Pienkowska M, Feuk L, Novokmet A, Nanda S, Druker H, Scherer SW and Malkin D: Excessive genomic DNA copy number variation in the Li-Fraumeni cancer predisposition syndrome. Proc Natl Acad Sci USA. 105:11264–11269. 2008. View Article : Google Scholar : PubMed/NCBI | |
Grubor V, Krasnitz A, Troge JE, et al: Novel genomic alterations and clonal evolution in chronic lymphocytic leukemia revealed by representational oligonucleotide microarray analysis (ROMA). Blood. 113:1294–1303. 2009. View Article : Google Scholar | |
Gunnarsson R, Staaf J, Jansson M, et al: Screening for copy-number alterations and loss of heterozygosity in chronic lymphocytic leukemia – a comparative study of four differently designed, high resolution microarray platforms. Genes Chromosomes Cancer. 47:697–711. 2008. | |
Schafer M, Schwender H, Merk S, Haferlach C, Ickstadt K and Dugas M: Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities. Bioinformatics. 25:3228–3235. 2009. View Article : Google Scholar : PubMed/NCBI | |
Strefford JC, van Delft FW, Robinson HM, et al: Complex genomic alterations and gene expression in acute lymphoblastic leukemia with intrachromosomal amplification of chromosome 21. Proc Natl Acad Sci USA. 103:8167–8172. 2006. View Article : Google Scholar : PubMed/NCBI | |
Sulong S, Moorman AV, Irving JA, et al: A comprehensive analysis of the CDKN2A gene in childhood acute lymphoblastic leukemia reveals genomic deletion, copy number neutral loss of heterozygosity, and association with specific cytogenetic subgroups. Blood. 113:100–107. 2009. View Article : Google Scholar | |
Ionita-Laza I, Rogers AJ, Lange C, Raby BA and Lee CI: Genetic association analysis of copy-number variation (CNV) in human disease pathogenesis. Genomics. 93:22–26. 2009. View Article : Google Scholar : PubMed/NCBI | |
Henrichsen CN, Chaignat E and Reymond A: Copy number variants, diseases and gene expression. Hum Mol Genet. 18:R1–R8. 2009. View Article : Google Scholar : PubMed/NCBI | |
Dermitzakis ET and Stranger BE: Genetic variation in human gene expression. Mamm Genome. 17:503–508. 2006. View Article : Google Scholar : PubMed/NCBI | |
Reymond A, Henrichsen CN, Harewood L and Merla G: Side effects of genome structural changes. Curr Opin Genet Dev. 17:381–386. 2007. View Article : Google Scholar | |
Guryev V, Saar K, Adamovic T, et al: Distribution and functional impact of DNA copy number variation in the rat. Nat Genet. 40:538–545. 2008. View Article : Google Scholar : PubMed/NCBI | |
Henrichsen CN, Vinckenbosch N, Zollner S, Chaignat E, Pradervand S, Schutz F, Ruedi M, Kaessmann H and Reymond A: Segmental copy number variation shapes tissue transcriptomes. Nat Genet. 41:424–429. 2009. View Article : Google Scholar : PubMed/NCBI | |
Sexton T, Umlauf D, Kurukuti S and Fraser P: The role of transcription factories in large-scale structure and dynamics of interphase chromatin. Semin Cell Dev Biol. 18:691–697. 2007. View Article : Google Scholar : PubMed/NCBI |