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  • Extensive analysis of D7S486 in primary gastric cancer supports TESTIN as a candidate tumor suppressor gene

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    Contributed equally
    Molecular Cancer20109:190

    • Received: 31 March 2010
    • Accepted: 13 July 2010
    • Published:



    High frequency of loss of heterozygosity (LOH) was found at D7S486 in primary gastric cancer (GC). And we found a high frequency of LOH region on 7q31 in primary GC from China, and identified D7S486 to be the most frequent LOH locus. This study was aimed to determine what genes were affected by the LOH and served as tumor suppressor genes (TSGs) in this region. Here, a high-throughput single nucleotide polymorphisms (SNPs) microarray fabricated in-house was used to analyze the LOH status around D7S486 on 7q31 in 75 patients with primary GC. Western blot, immunohistochemistry, and RT-PCR were used to assess the protein and mRNA expression of TESTIN (TES) in 50 and 140 primary GC samples, respectively. MTS assay was used to investigate the effect of TES overexpression on the proliferation of GC cell lines. Mutation and methylation analysis were performed to explore possible mechanisms of TES inactivation in GC.


    LOH analysis discovered five candidate genes (ST7, FOXP2, MDFIC, TES and CAV1) whose frequencies of LOH were higher than 30%. However, only TES showed the potential to be a TSG associated with GC. Among 140 pairs of GC samples, decreased TES mRNA level was found in 96 (68.6%) tumor tissues when compared with matched non-tumor tissues (p < 0.001). Also, reduced TES protein level was detected in 36 (72.0%) of all 50 tumor tissues by Western blot (p = 0.001). In addition, immunohistochemical staining result was in agreement with that of RT-PCR and Western blot. Down regulation of TES was shown to be correlated with tumor differentiation (p = 0.035) and prognosis (p = 0.035, log-rank test). Its overexpression inhibited the growth of three GC cell lines. Hypermethylation of TES promoter was a frequent event in primary GC and GC cell lines. However, no specific gene mutation was observed in the coding region of the TES gene.


    Collectively, all results support the role of TES as a TSG in gastric carcinogenesis and that TES is inactivated primarily by LOH and CpG island methylation.


    • Gastric Cancer
    • Single Nucleotide Polymorphism
    • Gastric Cancer Cell Line
    • SGC7901 Cell
    • Primary Gastric Cancer


    Gastric cancer (GC) is one of the leading causes of cancer mortality in the world, particularly in East Asian countries such as China, Japan and Korea, as well as other developing countries. Over the past decades, the overall survival for GC has not significantly improved in spite of improvement in surgical technique and significant advancement of chemotherapy and radiotherapy options [1]. Therefore, it is important to understand the molecular mechanisms involved in the carcinogenesis of GC.

    Loss of heterozygosity (LOH) at specific sites of the cancer genome is considered to embody tumor suppressor genes (TSGs). Frequent LOH at 7q31.1/2 has been detected in many human malignancies including GC [2]. Recently, we found a high frequency of LOH region on 7q31 in primary GC from China, and identified D7S486 to be the most frequent LOH locus [3]. This study was designed to explore what TSGs associated with GC were located around D7S486 in this region.

    Using microarray technology, a high-throughput single nucleotide polymorphisms (SNP) genotyping system was used to evaluate the LOH status around D7S486 on 7q31 in 75 primary GC samples and to discover possible candidate genes. As a result, TESTIN (TES) showed the potential to be a TSG in GC after initial screening. To clarify its role in GC, we examined TES expression in primary GC and its relationship to clinicopathological characteristics and prognosis. We also examined the effect of TES overexpression on the proliferation of several GC cell lines. Furthermore, mutation and methylation analysis were performed to explore its possible mechanisms of inactivation in GC.


    Identification of candidate tumor suppressor genes around D7S486 in primary GC

    In this study, 75 pairs of DNA samples of tumor tissue and matched adjacent non-tumor tissue obtained by microdissection were extracted from patients with primary GC. For details of the result of microarray, please see Additional file 1 and Additional file 2.

    Based on the NCBI database, there were total of 21 identified genes and 14 expressed sequence tags (EST) in the 4 Mb region (from 113 Mb to 117.5 Mb, please see figure S1, Additional file 3) around D7S486. 347 SNPs were selected in this region, including 254 SNPs located within genes and 93 SNPs located within ESTs. PCR primers and probes of these SNPs were designed by the previously described software [4]. After selection by pretesting amplification, 309 optimal primer pairs were determined (For ID of 309 SNPs, please see Additional file 4). Multiplex amplification was performed as described in the Methods section. After hybridization and genotype determination, 12 SNPs showed a frequency of LOH > 15%. Further, 6 of 12 SNPs displayed a frequency of LOH > 30% (Fig. 1 and Table 1) within 5 separate identified genes: FOXP2, ST7, MDFIC, CAV1 and TES. Among them, only ST7 [5], CAV1 [6] and TES [711] have been reported to be candidate tumor suppressor genes. However, little evidence supported ST7 and CAV1 to be tumor suppressor genes in primary GC. In addition, we used RT-PCR to detect the mRNA level of these candidate genes in 10 paired primary gastric cancer tissues and matched non-tumor tissues, respectively. And the results illustrated that TES mRNA expression was significantly down regulated in primary gastric cancer tissues than in non-tumor tissues, while other genes failed to show such a significant difference (please see figure S2, Additional file 5). Combining the above results in this paper with the evidence from previous studies, TES shows great potential to be a candidate TSG associated with GC.
    Figure 1
    Figure 1

    Representative results of microarray images from 3 primary GC samples by microdissection. "T" for tumor tissue and "N" for matched adjacent non-tumor tissue. (Each probe was printed twice and shown as neighboring spots. Spots in red and green, homozygous; yellow, heterozygous; and dark, low signal represented no signal or too low for genotype calls. White pane represented LOH, which is homozygous in tumor tissue but heterozygous in matched non-tumor tissue.)

    Table 1

    SNPs with frequency of LOH > 30% detected in 75 paired tumor tissue and matched adjacent normal tissue samples from GC patients

    SNP ID


    Informative Individuals

    LOH (%)


    Allele Position/Total length

    Heterozygosity (%)

    Gene Link

    Position in Gene























































    TES Expression in GC tissues

    Among 140 pairs of GC samples, decreased TES mRNA level was found in 96 (68.6%) tumor tissues when compared with matched non-tumor tissues (p < 0.001, Fig. 2A). Also, reduced TES protein level was detected in 36 (72.0%) of all 50 tumor tissues by western-blot in this study (p = 0.001, Fig. 2B). In addition, immunohistochemical staining result was in agreement with that of RT-PCR and Western blot. In all 140 paired GC samples, 32 (22.9%) cases displayed positive staining, primarily in the cytoplasm of the cells within the tumor tissues, while 120 (85.7%) cases exhibited positive staining in non-tumor tissues (p < 0.001, Fig. 2C). All of the results demonstrated a significant down regulation of TES mRNA and protein expression in primary GC.
    Figure 2
    Figure 2

    TES expression in primary GC. A. Representative results of TES mRNA expression in primary GC by RT-PCR. B. Representative results of TES protein expression in GC by Western blot. C. Representative staining of TES in GC tissue by immunohistochemistry (× 100). "T" and "N" represent tumor tissue and matched adjacent non-tumor tissue, respectively. D. Representative staining of TES in gastric non-tumor tissue (× 100).

    Relationship between TES protein expression and clinicopathological characteristics and prognosis in GC

    As shown in Table 2, deletion or reduced TES protein expression was associated with tumor differentiation; the lower the differentiation, the lower TES expression. And a significant difference was found in the variance of TES positivity rates between the different groups (p = 0.007). By spearman analysis, the correlation value between TES expression and tumor differentiation was 0.178 (p = 0.035). However, TES expression failed to be correlated with age, sex, tumor size, metastasis, lymphoma invasion, T stage and clinical stage (p > 0.05).
    Table 2

    Relationship between TES protein expression and clinicopathological variables in 140 cases of primary GC

    Clinicopathological variables


    TESTIN cases (%)






    Age (years)





    12 (17.5)

    49 (80.3)




    17 (23.6)

    55 (76.4)







    9 (20.0)

    36 (80.0)




    20 (21.1)

    75 (78.9)


    Tumor size (cm)





    12 (19.7)

    49 (80.3)




    17 (21.6)

    62 (78.4)


    T stage





    1 (8.3)

    11 (91.7)




    2 (11.8)

    15 (88.2)




    19 (22.4)

    66 (77.6)




    7 (26.9)

    19 (73.1)


    N stage





    6 (13.6)

    38 (86.4)




    9 (21.4)

    33 (78.6)




    11 (25.6)

    32 (74.4)




    3 (27.3)

    8 (72.7)


    M stage





    23 (20.7)

    88 (79.3)




    6 (20.7)

    23 (79.3)


    Clinical stage





    2 (11.8)

    15 (88.2)




    5 (17.9)

    23 (82.1)




    11 (21.6)

    40 (78.4)




    11 (25.0)

    33 (75.0)







    2 (66.7)

    1 (33.3)




    12 (40.0)

    18 (60.0)




    13 (13.4)

    84 (86.6)




    2 (20.0)

    8 (80.0)


    Number of cases in each group.

    * Statistically significant (p < 0.05).

    In addition, the mean survival time of TES-positive patients was 42.5 ± 4.7 months and the median was 62.0 ± 13.1 months, while these two corresponding values were 32.6 ± 2.2 months and 25.0 ± 5.1 months in TES-negative patients, respectively. Using Kaplan-Meier curve assessment, we found that negative TES expression was a significant prognostic factor of poor overall survival in GC patients (p = 0.035, log-rank test), indicating that primary GC patients with positive TES expression showed a significantly longer survival time (Fig. 3).
    Figure 3
    Figure 3

    Estimated overall survival according to the expression of TES in 140 cases of primary GC (Kaplan-Meier method). The expression of TES was classified as negative expression (n = 108) and positive (n = 32) based on the immunohistochemical staining results.

    Overexpression of TES and its effect on proliferation of GC cells

    By RT-PCR, higher expression of TES was detected in all three cell lines transfected with pEGFP-C2/TES compared to the cell lines transfected with the empty pEGFP-C2 plasmid (Fig. 4A). MTS proliferation assay showed that relative growth rate in all three pEGFP-C2/TES-transfected cells were significantly lower than those counterparts in pEGFP-C2-transfected cells (p < 0.01) (Fig. 4B, C, D).
    Figure 4
    Figure 4

    Overexpression of TES and its inhibitory effect on the proliferation of GC cells. Three GC cell lines used in this study were MGC803, HGC27 and SGC7901. A. TES mRNA expression in GC cells 36 h after transfection. B-D. The inhibitory effect of TES overexpression on the proliferation of GC cells sorted by flow cytometry for 7 consecutive days. This experiment is a representative of three independent experiments.

    TES gene mutation analysis

    To detect mutations of the TES gene, direct sequencing of all 7 exons of the TES gene was performed in three gastric cell lines and five cases of GC with rs1881287 LOH. No mutation was detected in exons 1, 2, 3 and 5. However, in the HGC27 cell line, we detected a heterozygous nucleotide change in codon 221 of TES transcript 1 in exon 4, from GCC to GTC, with an amino acid substitution from alanine to valine. We also detected a heterozygous nucleotide change in codon 364 in exon 7 of HGC27 and SGC7901 cells, from CGG to CGC, both encoding arginine, and a homozygous change from CGG to CGC at the same codon in Case 60. We searched the NCBI SNP database and found that all of the above mutation sites are in accordance with the cSNP sites of the TES gene. Another heterozygous point mutation was detected in codon 312 of exon 6 from Case 61, from GAG to GGG, with the amino acid substitution from glutamic acid to glycine, but the non-tumor tissue from the same case also showed the same heterozygous point mutation. While the other non-tumor counterparts did not show any evidence of mutation.

    Abnormal DNA methylation of TES promoter in GC

    The mRNA and protein expressions of TES in MGC803, HGC27 and SGC7901 GC cell lines were not detected by RT-PCR and Western blot, respectively (Fig. 5A, B). Methylation analysis revealed complete methylation in MGC803 and HGC27 cells, while no methylation was detected in SGC7901 cells (Fig. 5C). In addition, 30 primary GC samples without TES expression as determined by immunohistochemistry were selected for methylation analysis in the promoter of TES gene. Among them, 18 samples showed complete methylation in the TES promoter, 4 with partial methylation and 8 were unmethylated (Fig. 5D).
    Figure 5
    Figure 5

    DNA Methylation analysis of TES promoter in GC. TES mRNA (A) and protein (B) expression were significantly down regulated in three GC cell lines (MGC803, HGC27 and SGC7901). Methylation analysis of TES promoter in three GC cell lines (C) and in 10 pairs of GC samples (D). Complete methylation was shown in MGC803 and HGC27 cells and in most GC samples. After DAC treatment, the complete methylation of TES promoter changed to partial methylation and nonmethylation in MGC803 and HGC27 cells, respectively (E). DAC treatment also reversed TES mRNA (F) and protein (G) expression in MGC803 and HGC27 cells. "M", "U" and"M-P"represent methylated CPG sequences, unmethylated CPG sequences and a positive control for methylation, respectively. "-" and "+" represent before and after DAC treatment, respectively.

    5-Aza-2'-deoxycytidine (decitabine; DAC) is a pyrimidine nucleoside analog that strongly inhibits DNA methyltransferase activity and, as such, is one of the strongest inhibitors of DNA methylation and is also an effective antileukemic agent [12]. Since the GC cell lines MGC803 and HGC27 displayed complete methylation in the TES promoter, we further investigated the effect of DAC on its methylation. Interesting, after treated with DAC, the complete methylation status in the TES promoter changed to partial methylation and nonmethylation in MGC803 and HGC27 cells, respectively (Fig. 5E). In addition, mRNA and protein level of TES also changed from negative to positive in both MGC803 and HGC27 cells after DAC treatment (Fig. 5F, G) as determined by RT-PCR and Western blot, respectively.


    In our previous studies [3, 13, 14], we found that the frequency of LOH at D7S486 was as high as 30.36% in primary GC tissues. We also found that most GC patients with a high frequency of LOH at D7S486 were in their middle to advanced clinical stage (stage III and IV), and usually correlated with lymph node metastasis [3, 13, 14]. Taken together, these results suggest that one or more tumor suppressor genes associated with gastric carcinomas might situate around D7S486.

    In this study, using a high-throughput SNPs microarray fabricated in-house, we performed the SNP LOH assay in 75 paired GC samples. These SNPs are located within genes and ESTs around D7S486 and with a heterozygosity frequency greater than 0.1. As a result, 6 SNPs with a LOH frequency of > 30% were identified. After bioinformatics analysis, 5 corresponding identified genes were determined, including ST7, FOXP2, MDFIC, TES and CAV1. Among these genes, no reports have shown any correlations between FOXP2 and MDFIC and human malignancy. Although ST7 [5] and CAV1 [6] have been reported to be candidate tumor suppressor in several types of cancer, no direct evidences support their relationship with gastric carcinogenesis [5, 1416]. However, many previous studies on TES [711, 17] have demonstrated that it may be a candidate TSG in human cancers.

    Human gene encoding TES was first identified by Tatarelli et al. [9] and localized to the fragile site FRA7G at 7q31.2. So far, down regulation of TES has been reported in many types of human malignancies [8, 10]. In addition, a profound reduction in growth potential was detected in different cancer cell lines in which TES was overexpressed [9, 11]. All these findings suggest that TES may present a candidate tumor suppressor gene. However, to date, there is no definitive report regarding whether TES works as a TSG in primary GC.

    One of the most notable features of TSG is the mutation that may lead to gene inactivation, especially mutation in exon. Missense mutation has been detected in exons 3 and 5 of TES in the leukemic cell line CEM and in the ovarian cancer cell line CAOV3 [10]. However, no mutation was detected in these two exons in our study. A heterozygous mutation at codon 221 in exon 4 of TES has been reported in the breast cancer cell line MDA-MB 453 [9] and in head and neck squamous cell carcinoma tissues [8]. Similarly, the same mutation in exon 4 was also detected in HGC27 GC cells in this study. And a sense point mutation was also found in exon 7 of TES. However, all the above substitutions were in accordance with the cSNP sites of the TES gene, which had already been recorded in the NCBI SNP database, suggesting that they were not tumor-specific. Moreover, in exon 6, we found a new heterozygous missense point mutation in a GC tissue sample. Although it has not been reported, the same mutation was also observed in the matched non-tumor tissue. The above findings suggest that gene mutations may not be a mechanism for TES inactivation in GC.

    When LOH occurs in a gene, the expression of the gene may be reduced. Therefore, we then investigated the expression of TES in primary GC. As expected, both transcriptional and translational level of TES were reduced in primary GC tissues, which is consistent with its expression level in other types of human tumors, indicating that the deletion or down regulation of TES might be involved in the occurrence and development of GC. Furthermore, less differentiated tumors exhibited lower TES expression, indicating a significant correlation between TES expression and tumor differentiation. In addition, patients with negative expression of TES had a shorter life span than those with positive expression, suggesting that the detection of TES expression might be helpful to assess prognosis in GC. In this study, we also found for the first time that the introduction of TES caused a significant growth delay in three GC cell lines. This result demonstrated the suppressor effect of TES on GC cells, supporting the idea that TES functions as a tumor suppressor gene in GC, at least in these three cell lines.

    However, the mechanism of down regulation of TES expression in GC is not fully understood. Besides LOH causing reduction of gene expression, hypermethylation of CpG islands located in the promoter region of a gene is also frequently correlated with its transcriptional down regulation [18], and represents an alternative mechanism for the inactivation of TSG [19]. Several teams have reported on the methylation status of TES promoter in different tumor types. Tobias [11] found frequent methylation of the CpG islands at the 5'end of TES in 7 of 10 ovarian carcinomas and in all 30 tumor-derived cell lines tested, but only discovered a frame-shift mutation in one allele of a breast cancer cell line and polymorphisms in a number of samples. Tatarelli [10] found the TES promoter was fully methylated in the majority of 46 tumor-derived cell lines, and only 3 of 46 tumor-derived cell lines showed partial methylation at the promoter of TES gene. Similarly, no homozygous deletions or a high frequency of convincing somatic mutations was found within the coding region of TES in a total of 26 cancer cell lines. All of these data demonstrate that TES is inactivated primarily by transcriptional silencing resulting from CpG island methylation rather than gene mutation.

    In this study, looking at 30 primary GC samples with reduced TES expression as determined by immunochemistry, 18 samples were found to be completely methylated at the promoter of TES, 4 partially methylated and 8 were found to be unmethylated. In three GC cell lines with an absence of TES expression, the MGC803 and HGC27 cells displayed complete methylation at the TES promoter, while no methylation was detected in SGC7901 cells. These results suggest that the methylation of CpG in the TES promoter was a frequent event in GC and might be involved in the inactivation of TES.

    In this study, we further investigated the effect of DAC, a pyrimidine nucleoside analog that strongly inhibits DNA methyltransferase activity by titrating out DNA methyltransferase activity via a covalent trapping mechanism, on MGC803 and HGC27 GC cell lines, which showed complete methylation at the TES promoter. Interestingly, after DAC treatment, the complete methylation of TES promoter changed to partial methylation and nonmethylation in MGC803 and HGC27 cells, respectively. The mRNA and protein level of TES also changed from negative to positive in both MGC803 and HGC27 cells following DAC treatment. These findings further confirm that methylation of TES promoter plays an important role in TES down regulation in GC.

    In conclusion, the present study provides novel and definitive data to support the idea that TES may play an important role in primary GC as a tumor suppressor, and also conforms that, besides LOH, hypermethylation in the promoter of the TES gene rather than gene mutations contributes to its inactivation and to the progression of gastric carcinogenesis.


    Loss of heterozygosity analysis of the genes around D7S486 by SNP genotyping system

    Patients and tissue specimens

    75 paired fresh GC and matched adjacent non-tumor tissue specimens were obtained from patients underwent surgical resection but without any preoperative treatment in the Sun Yat-sen University Cancer Center between 2004 and 2005. The 75 patients included 54 males and 21 females with a median age of 60 years. After surgical resection, the fresh tissues were immediately immersed in RNAlater (Ambion, USA) and stored at 4°C overnight to allow thorough penetration of the tissues, then frozen at -80°C until RNA and DNA extraction. Both cancer and matched adjacent non-tumor tissues not less than 2 cm away from the GC patients were sampled, respectively, and confirmed by pathological examination. The study was approved by the Ethics Committee of Sun Yat-sen University Cancer Center and informed consent was obtained from each patient.

    DNA extraction from microdissected GC tissue

    DNA samples were extracted from 75 paired GC specimens obtained by microdissection using TRIzol kit (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's protocol. The procedures for microdissection were performed as previously described [20].

    SNP genotyping and LOH analysis by microarray system

    SNP Selection

    A computer program written for SNP selection was used as previously described [4]. SNPs in a 4 Mb region around D7S486 on human chromosome 7q were selected from the dbSNP database maintained by National Center for Biotechnology Information (NCBI, Build 36.3). To ensure that the selected SNPs were real and suitable for the multiplex system, a series of criteria described before was used for selection [21].

    Design of primer and probe

    To select sequence frames for primers, a computer program described [4] before was used. Within a user-defined sequence range around the polymorphic sites (150 bp in the present study), the candidate sequence frames were first selected according to a user-defined melting temperature range (55°C to 75°C in this application). To minimize primer-primer interactions, further selection was performed on qualified frames based on a series of criteria described before [4].

    Multiplex PCR and ssDNA preparation

    The procedures for multiplex amplification were performed following the method of Wang et al. [4] with minor modifications. In brief, the first multiplex PCR reaction was performed in 25 μl of PCR mix containing 2.5 μl of 10 × PCR buffer (50 mM KCl, 100 mM Tris-HCl at pH 8.3, 1.5 mM MgCl2, and 100 μg/ml gelatin), 0.5 μl of 10 nM dNTPs, primer mix (300 nM each) for all SNPs in the multiplex group, 5 units of HotStart Taq DNA polymerase, and 200 ng of DNA. The PCR cycling conditions were: 95°C (15 min) for 1 cycle, 94°C (40 sec), 55°C (2 min), ramping from 55°C to 72°C (5 min) for 40 cycles and a final extension of 72°C (10 min). ssDNA was generated in both directions using the same conditions for multiplex PCR with the following modifications: (1) 1.0 μl of product from the multiplex PCR was used as templates, (2) only one primer (one of the primer-probes) for each SNP was used, and (3) 45 PCR cycles were performed.

    SNP genotype determination by microarray

    In the SNP genotyping system [4] adopted in this paper, after generating single-stranded DNAs (ssDNA), they were hybridized to the probes on a microarray fabricated in-house. The probes were designed in such a way that their 3' ends were adjacent to the polymorphic sites in the hybridizing ssDNA. In this way, the probes could be labeled with the commonly used single-base extension method [2224], during which single dideoxyribonucleotides (ddNTPs) were added to the probe in an allele-specific manner that was dependent on the hybridizing allelic sequence(s). When the corresponding ddNTPs were labeled with different fluorescent chromophores (cyanine dyes, either Cy3 or C5, in our system), the allelic state of the SNPs were determined by analyzing the amount of incorporated fluorescence with the written program "AccTyping" [25]. In addition, SNP genotypes could be determined independently with the two DNA strands as separate templates so that results from such dual-probe analysis could be compared to ensure a high degree of accuracy.

    Expression of TES in primary GC samples and its relationship to clinicopathological characteristics

    140 paraffin-embedded GC samples were retrieved according to the 1999-2001 surgical pathology files in the Sun Yat-sen University Cancer Center, which included the patients without pretreatment. The 140 patients included 95 males and 45 females with a median age of 56 years. All tissue blocks were cut into serial 4 μm thick sections. The histological types were assigned according to WHO classification criteria.

    Total RNA was extracted from 140 patients with primary GC using TRIzol solution (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's protocol, and RNAse-free DNase I was used to remove DNA contamination. Reverse transcription (RT) was performed with 2 μg total RNA using M-MLV Reverse transcriptase (Promega, Madison, WI, USA) to synthesize first-strand cDNA according to the manufacturer's recommendation, followed by cDNA amplification using the specific primer set for TES and the GAPDH primer set used as an internal control. Primers used in this study were as follows: 5'-ACTGTGGCAGACATTACTGTGACA-3' (sense) and 5'-GATAGCTATGGCTCGATACTTCTGGGTGC-3' (antisense) for TES; 5'-CGGGAAGCTTGTCATCAATGG-3' (sense) and 5'-G GCAGTGATGGCATGGACTG-3' (antisense) for GAPDH, and the corresponding PCR products were 440 bp and 358 bp, respectively.

    Western blot and immunohistochemistry analysis was carried out as our previously described [16]. Primary polyclonal antibody against TES (Santa Cruz, CA, USA) was used at 1:500 and 1:100 dilutions for Western blot and immunohistochemistry, respectively. As our previously described [16], the total TES immunohistochemical staining score was calculated as the sum of the percent positivity of stained tumor cells and the staining intensity.

    Overexpression of TES and its effect on proliferation of GC cells

    Three GC cell lines used in this study were MGC803, SGC7901 and HGC27. All cell lines were obtained from the Committee of Type Culture Collection of Chinese Academy of Sciences (Shanghai, China) and preserved in our lab, and grown in RPMI 1640 supplemented with 10% FBS (fetal bovine serum) and antibiotics (50 μg/ml each of penicillin, streptomycin and gentamicin) at 37°C in a humidified 5% CO2 atmosphere.

    Plasmid pOTB7 containing full-length TES cDNA were purchased from Invitrogen (Carlsbad, CA, USA). The TES cDNA was amplified with the following primers: upstream 5'-GCAAGCTTCATGGACCTGGAAAAC-3', downstream 5'-GCGGATCCCTAAGACATCCTCTT-3'. The 1283 bp full length TES cDNA PCR product was recovered with the QIAquick Gel Extraction Kit (Qiagen Inc., Valencia, CA). The TES cDNA was first cloned into a pGEM-T and then into a pEGFP-C2 vector to create the pEGFP-C2/TES eukaryotic expressing vector in which the TES cDNA was fused with the downstream of EGFP cDNA.

    Three gastric cell lines were transfected with pEGFP-C2/TES or empty pEGFP-C2 plasmid, respectively, using LipofectamineTM 2000 reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's instructions. Briefly, cells were seeded into a 75 cm2 culture flask, and 12-24 μg plasmid and 36-60 μl Lipofectamine 2000 reagent were used for transfection when cells were at 90% confluence. Cells were harvested 36 h after transfection and tested in the proliferation assay or harvested for RT-PCR detection.

    Measurement of proliferation was determined by the MTS assay. Briefly, GFP-positive cells were sorted 36 h after transfection with BD Aria II(BD) and then seeded into 96-well plates (1000 cells per well) in 100 μl RMPI 1640 medium for five replicates. The next day, after 20 μl CellTiter 96 Aqueous One Solution (Promega, Madison, WI, USA) were added into the medium, the cells were incubated at 37°C for 4 h, and the absorbance at 490 nm (OD490) was measured daily for 7 days.

    Mutation analysis of TES gene

    Each exon of TES was PCR amplified respectively. The PCR mixture contained 1 μg genomic DNA, 20 μl 2 × Pfu PCR MasterMix (TIANGEN Biotech, Beijing, China) and 0.1 pmol/μl of each primer in a total 40 μl volume. The PCR cycling conditions for exons 2 to 7 were: 94°C (2 min) for 1 cycle, 94°C (30 sec), 55°C (40 sec), 72°C (2 min) for 40 cycles and a final extension of 72°C (10 min). Exon 1 PCR conditions were as described above with the exception that the initial denaturation was performed at 97.6°C for 5 min, and the denaturation temperature in the 40 cycles was also set at 97.6°C. For identification of mutations, PCR products were purified and then sequenced on an ABI Prism 3700 automated DNA Analyzer. All mutations were confirmed by sequencing in both directions.

    Methylation analysis of TES promoter in primary GC

    Three GC cell lines used in this study were MGC803, SGC7901 and HGC27 with the same culture condition as described above. 10 μM of 5-aza-2'-deoxycytidine (decitabine; DAC) was added when cell density reached 75%. Culture medium was changed with fresh RPMI1640 with the same concentration of DAC on alternate days. PBS (10 μM) was used as a negative control. Cells were harvested for the experiment six days later.

    The genomic DNA isolated with the DNeasy Tissue Kit (Qiagen Inc., Valencia, CA) was modified by bisulfite treatment with the CpGenome DNA Modification Kit (Chemicon) and amplified by PCR with two sets of TES promoter specific primer pairs (M-TES sense 5'-TATTGAGTTTGTTTAGTAGGGCGTC-3', M-TES antisense 5'-AATAACAACCGAACAACTCCG-3', PCR product 133 bp; U-TES sense 5'-TGAGTTTGTTTAGTAGGGTGTTG-3', U-TES antisense 5'-ATAACAACCAAACAACTCCAA-3', PCR product 129 bp) that recognize either the methylated or unmethylated CpG sequences and then analyzed by electrophoresis.

    Statistical analysis

    Quantitative values were expressed as the means ± SD or median (range). The Quantity One software (Bio-Rad Laboratories, Inc. Hercules, CA, USA) was used to quantify the densities of the bands in RT-PCR and Western blot. Paired-samples t-test was used to compare mRNA and protein expression of TES in GC with paired adjacent non-tumor tissue samples. The χ2 test for proportion and Spearman's correlation was used to analyze the relationship between TES expression and various clinicopathological characteristics. Survival curves were calculated using the Kaplan-Meier method and compared by the log-rank test. The SPSS 15.0 software (SPSS Inc., Chicago, IL, USA) was used for all statistical analyses and p < 0.05 was considered significant.




    This work was supported by grants from the National Nature Science Foundation of China (30471950, 30973398) and Guangdong Natural Science Fund (04105350, 9251008901000012) in China

    Authors’ Affiliations

    State Key Laboratory of Oncology in Southern China and Department of Experimental Research, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China
    Department of Gastric Pancreatic Surgery, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China


    1. Phan AT, Ajani JA: Gastric carcinoma. Curr Oncol Rep. 2004, 6 (3): 192-198. 10.1007/s11912-004-0049-7View ArticlePubMedGoogle Scholar
    2. Nishizuka S, Tamura G, Terashima M, Satodate R: Commonly deleted region on the long arm of chromosome 7 in differentiated adenocarcinoma of the stomach. Br J Cancer. 1997, 76 (12): 1567-1571.PubMed CentralView ArticlePubMedGoogle Scholar
    3. Xia JC, Weng DS, Li JT, Qin HD, Mai SJ, Feng BJ, Fan Q, Feng QS, Huang LX, Yu XJ, Pan ZZ, Li YQ, Wang QJ, Zhan YQ, Chen SP, He J, Huang WL, Wu PH, Zeng YX: Loss of heterozygosity analysis of a candidate gastric carcinoma tumor suppressor locus at 7q31. Cancer Genet Cytogenet. 2006, 166 (2): 166-172. 10.1016/j.cancergencyto.2005.11.005View ArticlePubMedGoogle Scholar
    4. Wang HY, Luo M, Tereshchenko IV, Frikker DM, Cui X, Li JY, Hu G, Chu Y, Azaro MA, Lin Y, Shen L, Yang Q, Kambouris ME, Gao R, Shih W, Li H: A genotyping system capable of simultaneously analyzing >1000 single nucleotide polymorphisms in a haploid genome. Genome Res. 2005, 15 (2): 276-283. 10.1101/gr.2885205PubMed CentralView ArticlePubMedGoogle Scholar
    5. Zenklusen JC, Conti CJ, Green ED: Mutational and functional analyses reveal that ST7 is a highly conserved tumor-suppressor gene on human chromosome 7q31. Nat Genet. 2001, 27 (4): 392-398. 10.1038/86891View ArticlePubMedGoogle Scholar
    6. Engelman JA, Zhang XL, Galbiati F, Lisanti MP: Chromosomal localization, genomic organization, and developmental expression of the murine caveolin gene family (Cav-1, -2, and -3). Cav-1 and Cav-2 genes map to a known tumor suppressor locus (6-A2/7q31). FEBS Lett. 1998, 429 (3): 330-336. 10.1016/S0014-5793(98)00619-XView ArticlePubMedGoogle Scholar
    7. Drusco A, Zanesi N, Roldo C, Trapasso F, Farber JL, Fong LY, Croce CM: Knockout mice reveal a tumor suppressor function for Testin. Proc Natl Acad Sci USA. 2005, 102 (31): 10947-10951. 10.1073/pnas.0504934102PubMed CentralView ArticlePubMedGoogle Scholar
    8. Gunduz E, Gunduz M, Beder L, Nagatsuka H, Fukushima K, Sutcu R, Delibas N, Yamanaka N, Shimizu K, Nagai N: Downregulation of TESTIN and its association with cancer history and a tendency toward poor survival in head and neck squamous cell carcinoma. Arch Otolaryngol Head Neck Surg. 2009, 135 (3): 254-260. 10.1001/archoto.2008.560View ArticlePubMedGoogle Scholar
    9. Sarti M, Sevignani C, Calin GA, Aqeilan R, Shimizu M, Pentimalli F, Picchio MC, Godwin A, Rosenberg A, Drusco A, Negrini M, Croce CM: Adenoviral transduction of TESTIN gene into breast and uterine cancer cell lines promotes apoptosis and tumor reduction in vivo. Clin Cancer Res. 2005, 11 (2 Pt 1): 806-813.PubMedGoogle Scholar
    10. Tatarelli C, Linnenbach A, Mimori K, Croce CM: Characterization of the human TESTIN gene localized in the FRA7G region at 7q31.2. Genomics. 2000, 68 (1): 1-12. 10.1006/geno.2000.6272View ArticlePubMedGoogle Scholar
    11. Tobias ES, Hurlstone AF, MacKenzie E, McFarlane R, Black DM: The TES gene at 7q31.1 is methylated in tumours and encodes a novel growth-suppressing LIM domain protein. Oncogene. 2001, 20 (22): 2844-2853. 10.1038/sj.onc.1204433View ArticlePubMedGoogle Scholar
    12. Jones PA, Taylor SM: Cellular differentiation, cytidine analogs and DNA methylation. Cell. 1980, 20 (1): 85-93. 10.1016/0092-8674(80)90237-8View ArticlePubMedGoogle Scholar
    13. Li JT, Fu L, Xia JC, Feng BJ, Mai SJ, Yu XJ, Huang LX, Feng QS, Pan ZZ, Zhan YQ: Minimal commonly deleted regions on chromosome 7q31 in primary gastric carcinoma and its clinical significance. Ai Zheng. 2005, 24 (11): 1306-1311.PubMedGoogle Scholar
    14. Weng DS, Li JT, Mai SJ, Pan ZZ, Feng BJ, Feng QS, Huang LX, Wang QJ, Li YQ, Yu XJ, Chen SP, He J, Xia JC: Identification of a new target region on the long arm of chromosome 7 in gastric carcinoma by loss of heterozygosity. World J Gastroenterol. 2006, 12 (15): 2437-2440.PubMed CentralPubMedGoogle Scholar
    15. Barresi V, Giuffre G, Vitarelli E, Todaro P, Tuccari G: Caveolin-1 immuno-expression in human gastric cancer: histopathogenetic hypotheses. Virchows Arch. 2008, 453 (6): 571-578. 10.1007/s00428-008-0681-yView ArticlePubMedGoogle Scholar
    16. Zhang HK, Pan K, Wang H, Weng DS, Song HF, Zhou J, Huang W, Li JJ, Chen MS, Xia JC: Decreased expression of ING2 gene and its clinicopathological significance in hepatocellular carcinoma. Cancer Lett. 2008, 261 (2): 183-192. 10.1016/j.canlet.2007.11.019View ArticlePubMedGoogle Scholar
    17. Chene L, Giroud C, Desgrandchamps F, Boccon-Gibod L, Cussenot O, Berthon P, Latil A: Extensive analysis of the 7q31 region in human prostate tumors supports TES as the best candidate tumor suppressor gene. Int J Cancer. 2004, 111 (5): 798-804. 10.1002/ijc.20337View ArticlePubMedGoogle Scholar
    18. Baylin SB, Herman JG: DNA hypermethylation in tumorigenesis: epigenetics joins genetics. Trends Genet. 2000, 16 (4): 168-174. 10.1016/S0168-9525(99)01971-XView ArticlePubMedGoogle Scholar
    19. Singal R, Ginder GD: DNA methylation. Blood. 1999, 93 (12): 4059-4070.PubMedGoogle Scholar
    20. Huang Q, Sacks PG, Mo J, McCormick SA, Iacob CE, Guo L, Schaefer S, Schantz SP: A simple method for fixation and microdissection of frozen fresh tissue sections for molecular cytogenetic analysis of cancers. Biotech Histochem. 2005, 80 (3-4): 147-156. 10.1080/10520290500382806View ArticlePubMedGoogle Scholar
    21. Zhang HK, Ma HQ, Wang QJ, Chen MS, Weng DS, Wang H, Zhou J, Li YQ, Sun JC, Chen YB, Liang XT, Zhao JJ, Pan K, Wang H, Xia JC: Analysis of loss of heterozygosity on chromosome 4q in hepatocellular carcinoma using high-throughput SNP array. Oncol Rep. 2010, 23 (2): 445-55.PubMedGoogle Scholar
    22. Pastinen T, Kurg A, Metspalu A, Peltonen L, Syvanen AC: Minisequencing: a specific tool for DNA analysis and diagnostics on oligonucleotide arrays. Genome Res. 1997, 7 (6): 606-614.PubMedGoogle Scholar
    23. Pastinen T, Raitio M, Lindroos K, Tainola P, Peltonen L, Syvanen AC: A system for specific, high-throughput genotyping by allele-specific primer extension on microarrays. Genome Res. 2000, 10 (7): 1031-1042. 10.1101/gr.10.7.1031PubMed CentralView ArticlePubMedGoogle Scholar
    24. Shumaker JM, Metspalu A, Caskey CT: Mutation detection by solid phase primer extension. Hum Mutat. 1996, 7 (4): 346-354. 10.1002/(SICI)1098-1004(1996)7:4<346::AID-HUMU9>3.0.CO;2-6View ArticlePubMedGoogle Scholar
    25. Hu G, Wang HY, Greenawalt DM, Azaro MA, Luo M, Tereshchenko IV, Cui X, Yang Q, Gao R, Shen L, Li H: AccuTyping: new algorithms for automated analysis of data from high-throughput genotyping with oligonucleotide microarrays. Nucleic Acids Res. 2006, 34 (17): e116- 10.1093/nar/gkl601PubMed CentralView ArticlePubMedGoogle Scholar


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