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World Journal of Gastroenterology logoLink to World Journal of Gastroenterology
. 2005 Mar 7;11(9):1267–1272. doi: 10.3748/wjg.v11.i9.1267

Copy number changes of target genes in chromosome 3q25.3-qter of esophageal squamous cell carcinoma: TP63 is amplified in early carcinogenesis but down-regulated as disease progressed

Chueh-Chuan Yen 1,2,3,4,5,6,7,8,9, Yann-Jang Chen 1,2,3,4,5,6,7,8,9, Chin-Chen Pan 1,2,3,4,5,6,7,8,9, Kai-Hsi Lu 1,2,3,4,5,6,7,8,9, Paul Chih-Hsueh Chen 1,2,3,4,5,6,7,8,9, Jiun-Yi Hsia 1,2,3,4,5,6,7,8,9, Jung-Ta Chen 1,2,3,4,5,6,7,8,9, Yu-Chung Wu 1,2,3,4,5,6,7,8,9, Wen-Hu Hsu 1,2,3,4,5,6,7,8,9, Liang-Shun Wang 1,2,3,4,5,6,7,8,9, Min-Hsiung Huang 1,2,3,4,5,6,7,8,9, Biing-Shiung Huang 1,2,3,4,5,6,7,8,9, Cheng-Po Hu 1,2,3,4,5,6,7,8,9, Po-Min Chen 1,2,3,4,5,6,7,8,9, Chi-Hung Lin 1,2,3,4,5,6,7,8,9
PMCID: PMC4250671  PMID: 15761962

Abstract

AIM: By using comparative genomic hybridization, gain of 3q was found in 45-86% cases of esophageal squamous cell carcinoma (EC-SCC). Chromosome 3q25.3-qter is the minimal common region with several oncogenes found within this region. However, amplification patterns of these genes in EC-SCC have never been reported. The possible association of copy number changes of these genes with pathologic characteristics is still not clear.

METHODS: Real-time quantitative PCR (Q-PCR) was performed to analyze the copy number changes of 13 candidate genes within this region in 60 primary tumors of EC-SCC, and possible association of copy number changes with pathologic characteristics was analyzed by statistics. Immunohistochemistry (IHC) study was also performed on another set of 111 primary tumors of EC-SCC to verify the association between TP63 expression change and lymph node metastasis status.

RESULTS: The average copy numbers (±SE) per haploid genome of individual genes in 60 samples were (from centromere to telomere): SSR3: 4.19 (±0.69); CCNL1: 5.24 (±0.67); SMC4L1: 2.01 (±0.16); EVI1: 2.02 (±0.12); hTERC: 5.28 (±0.54); SKIL: 2.71 (±0.14); EIF5A2: 1.95 (±0.12); ECT2: 9.18 (±1.68); PIK3CA: 8.13 (±1.17); EIF4G1: 1.07 (±0.05); SST: 3.07 (±0.25); TP63: 2.51 (±0.22); TFRC: 2.42 (±0.19). Four clusters of amplification were found: SSR3 and CCLN1 at 3q25.31; hTERC and SKIL at 3q26.2; ECT2 and PIK3CA at 3q26.31-q26.32; and SST, TP63 and TFRC at 3q27.3-q29. Patients with lymph node metastasis had significantly lower copy number of TP63 in the primary tumor than those without lymph node metastasis. IHC study on tissue arrays also showed that patients with lymph node metastasis have significantly lower TP63 staining score in the primary tumor than those without lymph node metastasis.

CONCLUSION: This study showed that different amplification patterns were seen among different genes within 3q25.3-qter in EC-SCC, and several novel candidate oncogenes (SSR3, SMC4L1, ECT2, and SST) were identified. TP63 is amplified in early stage of EC-SCC carcinogenesis but down-regulated in advanced stage of disease.

Keywords: Chromosomal aberration, Comparative genomic hybridization, Esophageal neoplasm, Immunohistochemistry, Quantitative real-time PCR, Tissue array, Tumor protein 63

INTRODUCTION

Esophageal cancer (EC) is one of the most lethal cancers in the world[1] as well as in Taiwan (http://www.doh.gov.tw/dohenglish/Upload/Statistics/S02/9110-eng.xls). In most Asian countries, squamous cell carcinoma (EC-SCC) is the most frequent histological subtype of EC. By using modern molecular cytogenetic study such as comparative genomic hybridization (CGH)[2] and spectral karyotyping (SKY)[3], several recurrent chromosomal aberrations of EC-SCC were identified. Among them, chromosome 3q is especially important, because 45-86% cases of EC-SCC were found to have amplification in this region, with minimal overlapping region over 3q25.3-qter[4-8]. Gain of chromosome 3q was also reported in many other tumors, such as cancer of the lung[9], ovary[10], and cervix[11,12], and head and neck squamous cell carcinoma (HNSCC)[13,14].

The size of 3q25.3-qter is about 40 MB, containing about 367 known genes within this region, not to mention the unknown ones. Several candidate oncogenes were located in this chromosomal region, such as cyclin L1 (CCNL1), at 3q25; human telomerase RNA component (hTERC), at 3q26; phosphoinositide-3-kinase, catalytic, alpha polypeptide (PIK3CA), at 3q26; Ski-like protein (SKIL), at 3q26; ecotropic viral integration site 1 (EVI1), at 3q26; eukaryotic translation initiation factor 5A2 (EIF5A2), at 3q26; eukaryotic translation initiation factor 4gamma1 (EIF4G1), at 3q27; tumor protein 63 (TP63), at 3q28; and transferrin receptor (TFRC), at 3q29 (GeneCardsTM, http://bioinformatics.weizmann.ac.il/cards/). However, amplification patterns of these genes in EC-SCC have never been reported.

A recently introduced method, real-time quantitative PCR (Q-PCR), could be used to accurately evaluate copy numbers of genes with only minimal amounts of tumor materials with high-throughput capacity[15-17]. In previous study, the accuracy of assessing copy number changes by Q-PCR in comparison with fluorescence in situ hybridization (FISH) had been demonstrated[18]. In this study, Q-PCR was used to study the copy number changes of the afore mentioned nine candidate oncogenes, together with four genes [signal sequence receptor gamma (SSR3) at 3q25.31, structural maintenance of chromosomes 4-like 1 (SMC4L1) at 3q26.1, epithelial cell transforming sequence 2 oncogene (ECT2) at 3q26.31, and somatostatin (SST) at 3q27.3] that were not down-regulated in our preliminary expression profile study, within chromosome 3q25.3-qter region in 60 primary tumors of EC-SCC, and the possible associations of these changes with disease progression were analyzed. Immunohistochemistry (IHC) was also used to verify the association of expression change of TP63 with lymph node metastasis status on another 111 cases of EC-SCC.

MATERIALS AND METHODS

Primary tumors and cell lines of EC-SCC

From 1995 to 1997, 60 ethic Chinese patients with EC-SCC were enrolled for Q-PCR study. All patients underwent primary surgical resection without neoadjuvant chemotherapy or radiotherapy. Only patients with written informed consent were included. Pathological evaluation of depth of tumor invasion, tumor differentiation and lymph node metastasis were done by one of our pathologists (Jung-Ta Chen), and staging and grading of tumor were defined according to the Cancer Staging Manual (5th edition; American Joint Committee on Cancer). Portions of tumor from the paraffin-embedded primary tumor samples, of which at least 70% were tumor cells, were identified under the microscope by one of our pathologists (Jung-Ta Chen) and were cut out for study. The procedure of DNA extraction was modified from a previously described protocol[19]. CGH analysis of part of these patients had been previously reported[8]. DNA extracted from five volunteer donor lymphocytes was used as control. EC-SCC cell lines CE 48T/VGH, CE 81T/VGH, TE6 and TE9, which have been previously characterized by molecular cytogenetics[18], were used to validate the accuracy of Q-PCR.

Fluorescence in situ hybridization (FISH)

FISH was performed using methods as previously suggested[20]. The search for FISH probes covering the 13 genes was done by browsing Ensembl Genome Browser http://www.ensembl.org/ and UCSC Genome Browser http://genome.ucsc.edu for candidate bacterial artificial chromosome (BAC) clones. The resulting clones were then obtained from RPCI-11 BAC library (Table 1)[21]. Their identities were verified by FISH-mapping onto normal lymphocyte metaphases. For each cell line, FISH signals were counted in 10 metaphases, and FISH signals per haploid genome were calculated by using average FISH signals per cell ×23/ average number of chromosomes per cell[18].

Table 1.

Covering BAC clones and position of 13 genes and sequence of Q-PCR primers of LINE1 and 13 genes over 3q25.3-qter.

Genes BAC clones Position Forward primer Reverse primer
LINE1 - - CCGCTCAACTACATGGAAACTG GCGTCCCAGAGATTCTGGTATG
SSR3 304C15 3q25.31 GCCCAGGCATATGAGAGTTGTC CCAACATGGCAGGGTCAAGT
CCNL1 6F2 3q25.31 TCATGGCAGTCAACCAACAT CCATTGTAAGGGCTTTTGGA
SMC4L1 227J5 3q26.1 GGCAAAGTCCTAAGCAAGGTTGT TCAACTGGCAAGCTAAGTGGAA
EVI1 141C22 3q26.2 CATGCATGCTGATTGCAGAAC CCACCTGCCGCAAAATGGT
hTERC 40O08 3q26.2 CGTAGGCGCCGTGCTTT TTTTCCGCCCGCTGAA
SKIL 543D10 3q26.2 GCTCGGCATTCCCAAGAAA CCCCTTCCAACACAGTCTGAGT
EIF5A2 110O7 3q26.2 GGCTTCCAGCACTTACCCTATG GACCATGCTTTCCAGTTTTGG
ECT2 453J16 3q26.31 CCTAACAGCAATCGCAAACG CTGTCTCTCTTGAAAGCTGAGCAA
PIK3CA 245C23 3q26.32 GGAGGATGCCCAATTTGATG AACAGTCCATTGGCAGTTGAGA
EIF4G1 481O2 3q27.1 CCGGTTCCAGAATCTGAGTTTT GATTCGGAGGGGCAAGCTG
SST 211G3 3q27.3 GATGCCCTGGAACCTGAAGA GCCGGGTTTGAGTTAGCAGAT
TP63 313I6 3q28 CCTCGTCCACCAGTCCCTAT GGAAGGACACGTCGAAACTG
TFRC 313F11 3q29 CAAAGTGGCACGAGCAGCTG GCTCTAGAATGAACGGTGGAAG
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LINE1: long interspersed elements; SSR3: signal sequence receptor gamma; CCNL1: cyclin L1; SMC4L1:structural maintenance of chromosomes 4-like 1; EVI1: ecotropic viral integration site 1; hTERC: human telomerase RNA component; SKIL: Ski-like protein; EIF5A2: eukaryotic translation initiation factor 5A2; ECT2: epithelial cell transforming sequence 2 oncogene; PIK3CA: phosphoinositide-3-kinase, catalytic, alpha polypeptide; EIF4G1: eukaryotic translation initiation factor 4gamma1; SST: somatostatin; TP63:tumor protein 63; TFRC: transferrin receptor. BAC clones, clones of bacterial artificial chromosomes covering the genes obtained from RPCI-11 library.

Real-time quantitative PCR (Q-PCR)

All primers were designed with Primer Express 3.0 software (Applied Biosystems Foster City, CA) using default parameters, with modified minimum amplicon length requirements (85 bp). An additional requirement consisted of a maximum GC content of 40% for the five last 3’ end nucleotides. The sequences of the primers are listed in Table 1. PCR reactions were performed as previously described[18]. DNA content was normalized to that of long interspersed elements (LINE1), a repetitive element for which copy numbers per haploid genome are similar both in normal or neoplastic cells[17]. Copy number changes per haploid genome were calculated by using the formula 2(Nt-Nline)-(Tt-Tline), where Nt is the threshold cycle number observed for an experimental primer in the normal DNA sample, Nline is the threshold cycle number observed for a LINE1 primer in the normal DNA sample, and Tt and Tline are the threshold cycle numbers observed for the experimental primer and LINE1 primer in test DNA sample, respectively[17]. For normal cell the copy number of a gene per haploid genome should be one. PCR for each primer set were performed in triplicate, and calculated copy number changes per haploid genome were averaged.

Construction of tissue arrays

Tissue arrays of another 120 EC-SCC tumor samples were constructed using method as previously described[22]. Briefly, the H&E-stained slides of selected tumor samples were examined under a light microscope. The areas of interest were circled with a color pen, and a 16-gauge bone marrow biopsy trephine apparatus was used to punch at the circled areas, extracting a tissue cylinder with 2.0 mm diameter. At least three cylindrical core biopsies were taken from different sites of each tumor. About 40 cylinders (8×5) were carefully transferred with forceps to a recipient metal paraffin block box. The recipient box was then covered with a plastic cassette and then liquid wax was gently poured into the box until it was full. The box was then put on a hot plate for 1 min to homogenize the wax, after which the box was removed from the hot plate and cooled to room temperature slowly. Four-micrometer sections were cut and mounted on silane-coated slides.

Immunohistochemistry (IHC) for TP63

Immunostaining for TP63 was performed on tissue array slides using a mouse anti-human TP63 monoclonal antibody clone: 7JUL (1:30; Novocastra, New Castle Upon Tyne, UK), which recognized all TP63 isoforms, and high temperature antigen unmasking technique (autoclave in pH 8.0 EDTA buffer) as previously described[23]. The bound antibodies were detected using the DAKO Envision system. Positive control (non-neoplastic tonsil tissue) and negative control (replacement of primary antibody by PBS) were included. The slides were independently reviewed by two of the authors (Chin-Chen Pan, Paul Chih-Hsueh Chen) who were blinded to the clinicopathologic data. TP63 immunoreactivity was semi-quantified using a combined intensity and percentage of positive scoring method. Intense nuclear staining was scored as 2, weak as 1, and negative as 0 (Figure 1)[24]. The percentage of cells with each intensity score was estimated. A TP63 staining score was defined as the sum of the percentage of positive cells with each intensity level multiplied by the intensity score [e.g., a case with 30% intense staining and 40% weak staining would be scored as 100 (30×2+40×1)][24].

Figure 1.

Figure 1

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Immunoreactivity for TP63. A: Intense nuclear TP63 staining; B: Weak nuclear TP63 staining; C: Negative staining. (Original magnification: ×400).

Statistical analysis

Statistical comparisons were performed using SPSS 12.0 software. Pearson coefficient of correlation was used to determine the correlation between the copy number changes assessed by FISH and Q-PCR. Student’s t-test was used to test the association between the results of Q-PCR or the TP63 staining score and lymph node metastasis or differentiation status. Kruskal-Wallis test was used to test the association between the results of Q-PCR or the TP63 staining score and primary tumor extent.

RESULTS

Evaluation of Q-PCR accuracy

The accuracy of the assay was tested on 4 EC-SCC cell lines. In Figure 2, copy number changes of 13 genes on these 4 EC-SCC cell lines, assessed by both FISH and Q-PCR, were quite compatible. The Pearson coefficients of correlation for comparing FISH and Q-PCR of 13 genes in 4 cell lines were all >0.9.

Figure 2.

Figure 2

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Comparison of copy numbers assessed by FISH (stripped bar) and Q-PCR (±SD) (hollow bar) of 13 genes in 4 EC-SCC cell lines [CE 48T/VGH (pink), CE 81T/VGH (yellow), TE6 (green), TE9 (blue)]. Pearson coefficients of correlation for comparing FISH and Q-PCR of 13 genes in 4 cell lines were all >0.9.

Assessment of copy number changes of candidate genes in primary tumors by Q-PCR

Copy number changes of 13 candidate genes were assessed by Q-PCR in 60 primary EC-SCC tumors. The average copy numbers (±SE) per haploid genome of individual genes in 60 samples were (from centromere to telomere): SSR3: 4.19 (±0.69); CCNL1: 5.24 (±0.67); SMC4L1: 2.01 (±0.16); EVI1: 2.02 (±0.12); hTERC: 5.28 (±0.54); SKIL: 2.71 (±0.14); EIF5A2: 1.95 (±0.12); ECT2: 9.18 (±1.68); PIK3CA: 8.13 (±1.17); EIF4G1: 1.07 (±0.05); SST: 3.07 (±0.25); TP63: 2.51 (±0.22); TFRC: 2.42 (±0.19). Four clusters of amplification could be found: SSR3 and CCLN1 at 3q25.31; hTERC and SKIL at 3q26.2; ECT2 and PIK3CA at 3q26.31-q26.32; and SST, TP63 and TFRC at 3q27.3-q29 (Figure 3).

Figure 3.

Figure 3

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Average copy number changes (indicated by the circles with number listed beside them; crossbar represented 2×standard error) of 13 genes in association of their relative position on chromosome 3q. Four clusters of amplifications could be found: SSR3 and CCLN1 at 3q25.31; hTERC and SKIL at 3q26.2; ECT2 and PIK3CA at 3q26.31-q26.32; and SST, TP63 and TFRC at 3q27.3-q29.

Association of copy number changes of candidate genes in primary tumors with disease staging or differentiation

The association between copy number changes of 13 genes and primary tumor extent, lymph node metastasis or tumor differentiation was analyzed. Patients with lymph node metastasis have significantly lower copy number of TP63 in the primary tumor than those without lymph node metastasis (2.05 vs 3.08; P = 0.017) (Figure 4). There were no significant association between copy number changes of the other 12 genes and lymph node metastasis. Also the copy number changes of all 13 genes had no statistical association with either primary tumor extent or tumor differentiation.

Figure 4.

Figure 4

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In Q-PCR analysis of 60 EC-SCC tumors, patients with lymph node metastasis [LN (+)] have significantly lower copy number of TP63 in the primary tumor than those without lymph node metastasis [LN (-)] (2.05 vs 3.08; P = 0.017).

Association of TP63 staining score in primary tumors with disease staging or differentiation

Immunostaining of TP63 could be evaluated in 111 cases. The association between TP63 staining score and primary tumor extent, lymph node metastasis or tumor differentiation was analyzed. As in the study of Q-PCR, patients with lymph node metastasis have significantly lower TP63 staining score in the primary tumor than those without lymph node metastasis (51.03 vs 79.62; P = 0.034) (Figure 5). There was no statistical association between TP63 staining score and either primary tumor extent or tumor differentiation.

Figure 5.

Figure 5

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In IHC study of 111 EC-SCC tumors, patients with lymph node metastasis [LN (+)] have significantly lower TP63 staining score in the primary tumor than those without lymph node metastasis [LN (-)] (51.03 vs 79.62; P = 0.034).

DISCUSSION

In this study, the pattern of copy number changes of 13 potential target genes located on 3q25.3-qter in EC-SCC and the association of these changes with disease progression were analyzed. In general, all genes except FIE4G1 had increased copy number. However, four clusters of genes with higher amplification were found: SSR3 and CCNL1 at 3q25.31; hTERC and SKIL at 3q26.2; ECT2 and PIK3CA at 3q26.31-q26.32; and SST, TP63 and TFRC at 3q27.3-q29, with highest peaks over ECT2 and PIK3CA (Figure 3). In previous study, it was demonstrated that copy number of PIK3CA was significantly higher than that of TP63 in EC-SCC[18]. Therefore, in EC-SCC, 3q26.31-q26.32 might be the mostly amplified area within this region.

CCNL1 [25], hTERC [26-28], SKIL[29], PIK3CA[30-32], TP63 [33-37] and TFRC [38] were reported as potential oncogenes in different diseases . However, SSR3, SMC4L1, ECT2 and SST have never been previously identified as oncogenes. SSR3 is one of the 4 members of translocon-associated protein (TRAP) over endoplasmic reticulum (ER) membrane. TRAP is responsible for the passage of peptide through ER membrane[39]. SMC4L1 is one of the members of structural maintenance of chromosomes (SMC) proteins. The eukaryotic SMC proteins could form heterodimers, which may be involved in chromosome condensation, sister chromatid cohesion, and DNA recombination[40]. ECT2 was identified as an exchange factor for Rho GTPases, phosphorylated in G2/M phases, and involved in cytokinesis[41]. Recent studies have showed that N-terminal truncation of ECT2 may render it as an oncogenic protein, which may cause malignant transformation of cell[42]. SST (somatostatin) and its analogues have been used in the treatment of endocrine tumor. Whether these genes play roles in carcinogenesis of EC-SCC deserve further investigation.

It is very interesting to find that the copy number changes as well as expression of TP63 decrease in more advanced stage of disease in EC-SCC. Heselmeyer et al reported that gain of chromosome 3q could be found in the early dysplasia lesion as well as in the invasive carcinoma of cervical cancer, but at reduced frequency in advanced stage of disease[11,12]. However, this phenomenon has never been reported in EC-SCC.

TP63 gene, one of TP53 gene family, is a well-known oncogene within this region. Overexpression of TP63 was found in most squamous cell carcinoma[33-37]. In a IHC study of EC-SCC, TP63 protein was found highly expressed in carcinoma (50/51), dysplasia (10/11), and even in histologically normal epithelia of esophagus adjacent to the cancerous tissues (45/47)[35]. On the contrary, in the study of TP63 expression in urothelial carcinoma, Koga et al reported that lower TP63 expression was significantly associated with higher Tumor-Node- Metastasis (TNM) stage (P = 0.0004) and lymph-node metastasis (P = 0.013). It was found that cancer cells with lower TP63 staining had higher chance of lower membranous β-catenin expression, which plays a role in cell-cell adherent junctions, and cancer invasion and metastasis could be promoted by reduced membranous β-catenin expression[24]. In a similar study of upper urinary tract urothelial carcinoma, Zigeuner et al found that decreased TP63 immunoreactivity was significantly associated with advanced tumor stages and poor prognosis. They also found that cases with decreased TP63 immunoreactivity had higher chance of TP53 overexpression in comparison with cases with normal TP63 immunoreactivity.

By combining results of this study with other reports, it is very likely that amplification of genes located on 3q25.3-qter may occur in quite early stage in the carcinogenesis of EC-SCC. But some of the genes, such as TP63, may be down-regulated as disease progressed. One possible explanation is that the alterations of genes are no longer necessary for maintenance of cancer cells survival. The other possibility is that down-regulation of these genes may accompany alterations of other genes (such as β-catenin or TP53), which may render cancer cell more invasive or malignant.

In conclusion, this study demonstrated different amplification patterns of different genes within 3q25.3-qter in EC-SCC, with highest amplification over 3q26.31-q26.32. SSR3, SMC4L1, ECT2 and SST were identified as novel candidate oncogenes within this region. TP63 is amplified in early stage of EC-SCC carcinogenesis but down-regulated in advanced stage of disease.

ACKNOWLEDGEMENTS

The authors gratefully acknowledge the technical support from National Yang-Ming University Genome Research Center (http://genome.ym.edu.tw/).

Footnotes

Supported by the National Microarray and Gene Expression Analysis Core Facility of the National Research Program for Genomic Medicine at National Yang-Ming University (http://www.ym.edu.tw/microarray), and annual project Grant From National Science Council (Grant NO. NSC 92-2314-B-075-055), Taiwan, China

Assistant Editor Guo SY Edited by Gabbe M

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