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Identification of MSRA gene on chromosome 8p as a candidate metastasis suppressor for human hepatitis B virus-positive hepatocellular carcinoma
- Ke-Feng Lei†1,
- Yan-Fang Wang†1,
- Xiao-Qun Zhu1,
- Peng-Cheng Lu2,
- Bing-Sheng Sun1,
- Hu-Liang Jia1,
- Ning Ren1,
- Qing-Hai Ye1,
- Hui-Chuan Sun1,
- Lu Wang1,
- Zhao-You Tang1 and
- Lun-Xiu Qin1Email author
© Lei et al; licensee BioMed Central Ltd. 2007
Received: 03 April 2007
Accepted: 04 September 2007
Published: 04 September 2007
The prognosis of patients with hepatocellular carcinoma (HCC) still remains very dismal, which is mainly due to metastasis. In our previous studies, we found that chromosome 8p deletions might contribute to metastasis of HCC. In this study, we aimed to identify the candidate metastatic suppressor gene on chromosome 8p.
Oligo-nucleotide microarrays which included 322 genes on human chromosome 8p were constructed to analyze the difference in gene expression profiles between HCC tissues with and without metastasis. The leading differentially expressed genes were identified and selected for further analysis by real-time PCR and Western blotting. Recombinant expression plasmid vectors for each target gene were constructed and transfected into HCC cells and its in vitro effects on proliferation and invasion of HCC cells were also investigated.
Sixteen leading differentially expressed genes were identified from the HCC tissues with metastasis compared with those without metastasis (p < 0.01, q < 16 %). Among of the 10 significantly down-regulated genes in HCC with metastasis, methionine sulfoxide reductase A (MSRA) had the lowest p value and false discovery rate (FDR), and was considered as a potential candidate for metastasis suppressor gene. Real-time PCR and Western blotting confirmed that the mRNA and protein expression levels of MSRA were significantly decreased in HCC with metastasis compared with those without metastasis (p < 0.001), and MSRA mRNA level in HCCLM6 cells (with high metastatic potential) was also much lower than that of other HCC cell lines. Transfection of a recombinant expression plasmid vector and overexpression of MSRA gene could obviously inhibit cell colony formation (4.33 ± 2.92 vs. 9.17 ± 3.38, p = 0.008) and invasion (7.40 ± 1.67 vs. 17.20 ± 2.59, p= 0.0001) of HCCLM6 cell line.
MSRA gene on chromosome 8p might possess metastasis suppressor activity in HCC.
Primary liver cancer (mainly hepatocellular carcinoma, HCC) is one of the most frequent human cancers worldwide. The number of deaths from liver cancer is very similar to that of new cancer cases (598,000 and 626,000 respectively) and the liver cancer mortality rate is the third highest in the world . In China, liver cancer kills 54.7 people out of one-hundred-thousand per year . Although many advances have been made as a result of HCC clinical studies during the past decades that include early detection, surgical resection and liver transplantation, the general prognosis of the patients with HCC still remains dismal . This outcome has been attributed to the high possibility of intra-hepatic metastases and recurrence after curative treatment [3–6].
Cancer metastasis is a highly complex multistep process that involves alterations in growth, dissemination, invasion and survival, which leads to subsequent attachment, angiogenesis, and growth of new cancer cell colonies . Recently, the traditional metastasis paradigm has been challenged by the observations that most of the genetic and epigenetic changes necessary for metastasis appear to be the hallmarks of cancer [8–10].
In our previous studies, we found that chromosome 8p deletions might contribute to HCC metastasis . This result was further confirmed by comparisons in nude mice models bearing human HCC with different metastatic potentials . These findings provide new locus for exploring a new candidate metastasis suppressor of HCC. In our recent study on two HCC cell lines with different metastatic potentials, a novel metastatic suppressor gene, HTPAP, was identified on chromosome 8p12 . On the basis of these findings, we aimed our current study to compare the difference in gene expression profiles between HCC tissues with and without metastasis, and to identify the candidate metastatic suppressor gene on chromosome 8p.
Human HCC specimens and cell lines
Human HCC tissues were obtained with informed consent from 60 patients who underwent liver resection for HCC at the Liver Cancer Institute and Zhongshan Hospital of Fudan University (Shanghai, China). These included 30 patients with metastatic HCC whose primary HCC lesions were accompanied by intrahepatic spreading, which had been regarded as the most frequently metastatic site of HCC , in portal vein (n = 26), hepatic vein (n = 2), or bile duct (n = 2), and 30 patients who had only solitary HCC without metastases. All patients had a history of hepatitis B virus (HBV) infection with an average age of 48.8 years, and 54 (90 %) of them were male. The diagnosis and histopathological features were confirmed to be HCC by pathologists. The tumor sizes of primary HCCs ranged from 1 cm to 25 cm in diameter with a median diameter of 7.8 cm.
Non-neoplastic liver tissues as references for microarrays assays were obtained from 10 patients who also had the history of HBV infection and underwent liver resection for haemangioma of liver. All specimens were frozen in liquid nitrogen immediately after resection and were stored at -80°C until use.
HCC cell lines, MHCC97-L, MHCC97-H, HCCLM3 and HCCLM6 were established from the same parent human HCC cell line, MHCC97, in authors' institute. They have an identical genetic background and stepwise increasing metastatic potentials, i.e., MHCC97-L had the lowest and HCCLM6 had the highest ability of metastasis [15, 16]. They were cultured in Dulbecco's modified Eagle's medium (DMEM) (Gibco BRL, NY, USA) supplemented with 10 % (v/v) fetal calf serum (Hyclone, Utah, USA) at 37°C in a humidified incubator containing 5 % CO2.
This study was approved by the Ethics Committee of Zhongshan Hospital, Fudan University (Shanghai, China) (No. 20050310), and was in compliance with the Helsinki Declaration.
Total RNAs were extracted from each tissue sample and cell line using TRIZOL reagent (Life Technologies, Grand Island, USA) and was further purified with an RNeasy mini kit (Qiagen, Valencia, CA, USA) according to the manufacturer's instructions. The quality of the total RNA samples was determined by electrophoresis through formaldehyde agarose gels, and the 18S and 28S RNA bands were visualized under ultraviolet light.
Microarrays experimental design
A reference design was used to compare the HCC with and without metastases indirectly . RNA from 10 non-neoplastic liver tissues was pooled to generate the common reference sample. Twenty cases of HCCs with metastasis and 20 HCCs without metastasis were investigated against the common reference. Twenty metastatic HCCs used in microarray experiments were from patients with tumor spreading in portal vein (n = 18), hepatic vein (n = 1), or bile duct (n = 1) [see Additional file 1]. Dye swap was performed in each comparison. Therefore, considering the two floret types, two kinds of HCCs and biological replications, a total of 80 chips were used for comparing the gene expression pattern between the HCCs with and without metastasis.
Description of 8p-specific microarrays
'8p-specific' microarrays were constructed using 322 genes on human chromosome 8p based on the UniGene clusters in GenBank . In addition, 5 house-keeping genes and 8 intergenic sequences from the yeast were used as internal and external controls respectively. All of these 335 genes were spotted twice as duplicates on microarrays, and 6 blank spots were made as the negative controls. So, total 676 spots (26 × 26 matrix) were constructed on each '8p-specific' microarrays. Both the design of 70-mer oligonuclearotides for each gene and the construction of microarrays were made by CapitalBio Corporation (Beijing, China).
Microarrays assays and statistic analysis
Five microgram of DNase-treated total RNA was used to prepare fluorescent dye-labeled cDNA through Eberwine's linear RNA amplification method followed with subsequent reverse transcription and Klenow enzyme reaction according to the previously described methods [19, 20]. Procedures of hybridization and washing were described previously , arrays were scanned at 10-μm resolution by using a confocal LuxScan™ scanner (CapitalBio, Beijing, China), and the intensities of spots on each image were extracted with SpotData software (CapitalBio, Beijing, China). The LOWESS normalization method was employed to normalize the logarithm transformed background corrected signal intensities within each slide, thereafter, normalized data were median-centered for each channel. The 4 values for each gene for each specimen (twice spotted) on microarrays and dye swap were averaged as a signal intensity for each gene. Thus the difference of M (HCCs with metastases) and N (HCCs without metastases) was estimated by the ln M/ref-ln N/ref and T test were performed in SAS to compare the mean difference between metastatic HCC and non-metastatic HCC transcripts. In total, 322 fold change and p values were obtained and subsequently converted to a set of q-values using the method of Storey and Tibshirani . The largest q-value in a list of genes declared to be differentially expressed provides an estimate of the False Discovery Rate (FDR), which is used as adjustment for multiple T test.
The synthesis of the first-strand cDNA was performed as described previously . Target gene fragments were co-amplified with the internal control gene β-actin (991 bp) respectively. For the two co-amplified genes, amplification reaction was performed in the same tube comprising 10× PCR buffer, 25 mM MgCl2, 2 U Taq DNA polymerase and 10 pM of each of the flanking primers. The primer sequences were as follows: sense 5'- TGTACCAGCCAGAACACATG -3' and anti-sense 5'- CTGCTATCTTCACTCAGACC -3' for MSRA(621 bp); sense 5'- TGGGCATGGGTCAGAAGGA -3' and anti-sense 5'- AAGCATTTGCGGTGGACGATGGAGG -3' for β-actin (991 bp).
The PCR profile was 7 min at 95°C followed by 26 cycles of 30 s at 94°C, 30 s at 57°C, 45 s at 72°C, and a final extension of 10 min at 72°C. The RT-PCR products were determined by electrophoresis on 1.5 % agarose gel stained with ethidium bromide.
All real-time PCR reactions were performed using a DNA Engine Opticon Thermal Cycler (MJ Research, Waltham, MA) and the SYBR Green PCR Core Reagents kit (PerkinElmer Applied Biosystems).
Regular RT-PCR was performed before real-time PCR to determine the amplification condition to have a specific amplification. Then real-time PCR was done in a final volume of 20 μl with 2 μl template cDNA (with a concentration of 20 ng/μl) with 10 μl Quantitect SybrGreen Kit (Qiagen, Valencia, CA) and 20 pM of each primer for target gene and housekeeping gene(GAPDH). The primer sequences were as follows: sense 5'-ATGCAGAAGTCGTCCGAGTG-3' and anti-sense 5'-TAGATGGCCGAGCGGTACTG-3' for MSRA (141 bp); sense 5'-ATGACCCCTTCATTGACC-3' and anti-sense 5'-GAAGATGGTGATGGGATTTC-3' for GAPDH (131 bp).
Activation was done with HotStar Taq DNA polymerase at 95°C for 15 min, followed by 45 cycles of 94°C for 15 s, 58°C for 30 s, and 72°C for 30 s then plate read. The Opticon Monitor Software package 1.02 was used for detection of fluorescent signals and Tm calculations. The transcripts of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) gene, a reference gene for high abundance gene transcripts, were quantitated as the endogenous control to normalize each test sample.
Results of real-time PCR were represented as Ct values, where Ct was a fractional value defined as the cycle number at which the sample fluorescent signal passes a fixed threshold above the baseline. ΔCt was the difference in the Ct values derived from the specific genes being assayed and GAPDH, the N-fold differential expression in a specific gene of a tumor sample was expressed as 2ΔCt .
Protein was extracted by M-PER or T-PER (Pierce, USA), and protein concentrations were measured with the BCA protein assay kit (Pierce, USA). Total protein (50 μg) was separated by SDS-PAGE and transferred onto PVDF membranes. After being blocked in TBST with 50 ml/L skim milk for 2 h at room temperature, membranes were incubated with the primary antibody anti-MSRA (Upstate, USA) for 2 h. Anti-GAPDH (Santa Cruz, USA) was used as the endogenous control. The membranes were then washed thrice with TBST solution, followed by incubation for 1 h with HRP-linked secondary antibodies (Santa Cruz, USA) at room temperature. Finally, the membranes were visualized using the DAB reagent (Dako, Denmark).
Construction and transfection of the recombinant plasmid of MSRAgene
The full-length cDNA sequence of MSRA gene was amplified by PCR, and inserted into the BamHI and NheI sites of the expression plasmid vector pIRES2-EGFP. Its sequence was confirmed by DNA sequencing and the recombinant plasmids were named pIRES2-EGFP-MSRA. The recombinant plasmids were transfected into the HCCLM6 cell line using Lipofectamine 2000 according to the instructions from the manufacturer (Invitrogen, USA), with the empty plasmid transfection as control.
Analysis of proliferation of HCC cells in vitro
Cell proliferation assays were performed by MTT (Promega, Madison, WI) colorimetry. Twenty-four hours after transfection, the HCC cells were treated with trypsin and harvested, then resuspended and plated in 96-well plates at 1 × 103 cells per well in 100 μL cell culture medium and maintained at 37°C in a humidified incubator containing 5% CO2. After every 24 h, 10 μL of the MTT solution was added into the triplicate wells and incubated at 37°C for another 4 h, 100 μL of DMSO was added and surged for 10 min to dissolve the crystal completely. Then absorbance at 540 nm was measured to calculate the numbers of vital cells in each well by ELISA reader.
The colony formation assay was performed to measure growth promotion by MSRA gene transfection into MHCC-LM6 cells according to our previously reported protocol . Twenty-four hours after transient transfection by control (pIRES2-EGFP) and recombinant (pIRES2-EGFP- MSRA) plasmid vectors respectively, the transfected cells were treated with trypsin and harvested, washed, and resuspended in fresh complete medium. Identical numbers of empty or recombinant plasmid-transfected cells were plated in 6-well tissue culture plates to allow cells to form colonies. After 10 days incubation at 37°C in a humidified CO2 incubator, cells were fixed with 4% paraformaldehyde in PBS and stained with Giemsa stain. The cut-off point for colony size was ≥ 20 cells/colony. The number of colonies was counted within a field at 200× under a light microscope. For each test, a total of five fields were selected at random, and the numbers were averaged. The assay was repeated three times with 0.5 × 104, 1 × 104, and 2 × 104 of the cells seeded, respectively.
In vitroMatrigel invasion assay of HCC cells
In vitro invasion assay were performed as our previously reported protocol . Briefly, 100 μL of serum-free DMEM-diluted matrigel (0.8 mg/ml) (BD Biosciences, San Jose, Calif., USA) was added to the Transwell filters(8.0 μM pore size; Corning, N.Y., USA) of a Boyden chamber and incubated at 37°C for 2 h to form matrix gels. HCCLM6 cells (1 × 105) transfected with recombinant plasmid vector (pIRES2-EGFP- MSRA) or pIRES2-EGFP vector were suspended in 100 μL serum-free DMEM and added to the top of the gels in the triplicate chambers. A mixture of 200 μL DMEM with 10% fetal calf serum, 200 μL supernatant of HCCLM6 cell culture, and 200 μL supernatant of NIH/3T3 cell culture was added to the lower chamber to serve as the chemoattractant. After 48 h of incubation at 37°C, the upper surface of the filters was carefully wiped with a cotton-tipped applicator, and the filters were fixed with 4% paraformaldehyde in PBS and stained with Giemsa stain. Cells invaded across the matrigel and passed through the Transwell filter pores toward the lower surface of the filters, and these were counted in five no overlapping 200× fields under a light microscope.
Statistical analysis for real-time PCR and in vitro analysis
Statistical analyses for Real-time PCR and the in vitro analysis were performed with software from SPSS 10.0 for Windows (Chicago, IL., USA). Results of real-time PCR were evaluated by Mann-Whitney tests for two independent groups. The results of the cell proliferation assay, colony formation assay, and in vitro invasion assay were evaluated by Student's t-tests. A p value < 0.05 was taken as the level of significance.
Identification of the metastasis-related genes for HCC
Differentially expressed genes between HCCs with metastases and without metastases detected by 8p-specific microarrays
Fold change (HCC with metastasis/HCC without metastasis)
Down-regulated expression of MSRA in metastatic HCC samples and cell lines
In order to confirm the results of microarrays, the mRNA level of MSRA was examined in 40 HCC samples including 20 primary HCCs with metastasis and 20 HCCs without metastasis using real-time PCR. Twenty of them were from those used in microarrays assays and the others were newly selected. Since the expression level of GAPDH did not exhibit a significant difference between HCC with and without metastasis, it was used to normalize the MSRA expression data. Real-time PCR results confirmed that the expression level of MSRA in HCC with metastasis was obviously lower than that in HCC without metastasis (p < 0.001) (Figure 1A).
The mRNA levels of MSRA gene in MHCC97-L, MHCC97-H, HCCLM3 and HCCLM6 cell lines were also detected by real-time PCR. As shown in the Figure 1B, the expression level of MSRA in HCCLM6 cells (which had the highest metastatic ability) was significantly decreased compared with the other cell lines. Thus, the HCCLM6 cell line was selected for the further in vitro functional analysis of MSRA gene.
In vitro effect of MSRAoverexpression on proliferation and invasion of HCC cells
The in vitro proliferation ability of HCCLM6 cells transfected with pIRES2-EGFP-MSRA was slightly inhibited, however, the difference did not reach statistical significance (0.13 ± 0.03 vs. 0.14 ± 0.03, p = 0.602) (Figure 2B). However, the ability of colony formation of HCCLM6 transfected with pIRES2-EGFP-MSRA was significantly decreased as compared with the controls (4.33 ± 2.92 vs. 9.17 ± 3.38, p = 0.008) (Figure 2C).
In the in vitro Matrigel invasion assays, the number of cells invaded through the transwell membrane in the pIRES2- EGFP- MSRA transfected group (7.40 ± 1.67) (Figure 2D) was significantly lower than those in the pIRES2-EGFP control group (17.20 ± 2.59, p= 0.0001) (Figure 2E). These suggested that MSRA might have the potential ability to inhibit cell invasion but have no significant effect on the proliferation of HCC cells.
Curative resection currently remains the major therapeutic method for HCC patients. However, due to the great possibility of tumor recurrence, caused mainly by metastasis, only definitive subsets of patients have the chance of being cured. Much like other kinds of solid malignant tumors, HCC metastasis is a complex interacting process between the host and cancer cells, and is regulated by multiple genes. Understanding the genes responsible for either enhancing or suppressing this process would allow novel diagnostic, therapeutic and prognostic applications in evolving and improving the clinical care of HCC patients. It has been demonstrated that more genetic aberrations exist during the process of cancer progression, invasion and metastasis [24, 25]. These specific genomic aberrations could be used for mapping tumor suppressor genes , and provide clues for identifying metastasis-related genes. Many genes, such as nm23, KAI1, KISS1, MKK4, BrMS1 and so on, have been identified to have relations with the tumor metastasis [27, 28].
In our previous studies, we found that HCC acquired a deletion on chromosome 8p as they progressed to metastatic stage, and that the chromosome 8p deletion may contribute to HCC metastasis . This result was further confirmed by comparisons in nude mice models bearing human HCC with different metastatic potentials . Using genome-wide microsatellite analysis, the deletion on chromosome 8p was further proven to be related to progression and metastasis of HCC, and that 8p23.3 and 8p11.2 were two regions harboring metastasis-related genes . Similar results were obtained in other groups [30, 31]. A deletion of chromosome 8p has also been shown to play an important role in the tumor progression and metastasis of many other kinds of human malignancies besides HCC including colorectal [32, 33], bladder [34, 35], breast , larynx , renal , and lung cancers . Perhaps, 8p might harbor one or more tumor suppressor genes that are important in tumor progression and especially in the tumor metastasis of cancer including HCC .
Several candidate tumor suppressor genes have been identified from 8p including DLC-1 (8p21.3-22) , FEZ1 (8p22) , liver-related putative tumor suppressor (LTPS) gene (8p23) , PCM1(encoding a centrosomal protein) and DUSP4/MKP-2 (encoding a MAP kinase phosphatase) . Alterations of these genes may occur as an early event in the development of cancer, and their association with metastasis is not confirmed  even though one very recent study indicated that FEZ1 may serve as a novel prognostic indicator for lung cancer . It has been found that putative tumor suppressor genes that are mapped on chromosomes 8p21-22 may be involved in the metastasis of colorectal cancer. Allelic losses in these regions are possible risk factors for early lymph node metastasis . Using a functional positional cloning strategy, Nihei et al. defined the region harboring the metastasis suppressor gene in 8p21-12, and localized it to a 60-kb cloned region .
To explore the new candidate metastatic suppressor of HCC, in our recent study on two HCC cell lines with different metastatic potentials, a novel metastatic suppressor gene, HTPAP, was identified on chromosome 8p12 . However, regarding the limitation of study on cell lines and the development of human genome sequencing, in this study, we constructed '8p specific microarrays', which contain all of the genes and ESTs on human chromosome 8p, and used a number of clinical specimens to identify the genes relating to the metastasis of HCC. A total of 322 genes or ESTs were found from the UniGene clusters in GenBank and used for the construction of 8p-specific microarrays, a different number from the previous work, in which 100 ESTs were used . Most of the functional genes have not been completely annotated yet. Sixteen genes were found differentially expressed between metastatic HCC and non-metastatic HCC. Among these sixteen genes, ten genes were down-regulated including four well- annotated genes, MSRA, WHSC1L1, ARHGEF10 and NAT1. Although HTPAP gene was significantly down-regulated in HCC cell line with high metastatic potentials (data not shown), and was also down-regulated in the metastatic HCCs, the difference did not reach the statistical criteria in this study. This suggested that there may be differences between cell lines and clinical samples, particularly for the high-throughputs assays.
MSRA was one of the four well- annotated genes that were significantly down-regulated in HCC with metastasis compared with those without metastasis; therefore, it was selected for the further confirmation and functional analysis.
The MSRA gene is located at chromosome 8p23.1. It has been found to express ubiquitously, with highest mRNA levels in adult kidney and cerebellum, followed by liver, heart ventricles, bone marrow and hippocampus. However, among the fetal tissues, the highest expression level was found in the liver . In this study, both the mRNA and protein expression levels were decreased significantly in HCCs with metastasis. These results suggest that down-regulation of MSRA might play a role in the progression of HCC.
Furthermore, we investigated the effect of MSRA on the proliferation, colony formation and invasion ability of HCC cells in vitro. On the basis of high transfection efficiency, our studies showed that MSRA overexpression could slightly inhibit the proliferation ability of HCCLM6 cells, and more importantly, significantly inhibit the invasion ability. Although the in vivo experiments need to be done in order to further confirm the MSRA genes functions on HCC metastasis, these in vitro studies suggest that the MSRA gene might possess metastasis suppressor activity in HCC. Also, anti-tumor activity of MSRA was seen in a study about sulindac also.
Reactive oxygen can cause damage to many cellular components via DNA base alterations, strand breaks, damaging tumor suppressor genes. Secondly, oxidation also enhances the expression of proto-oncogenes, and plays a key role in the development of human cancer. MSRA has been implicated in protecting cells against oxidative damage, which can reduce methionine sulfoxide in proteins from oxidative damage to methionine . MSRA has a broad specificity for oxidated compounds that contain a methyl sulfoxide group . Oxidized methionine residues in different compartments are repaired by methionine sulfoxide reductases of different subcellular distribution regulated by alternative splicing .
The possible roles of MSRA in the development and progression of cancer are not yet fully understood. Hanbauer et al found that calcium phospholipid-binding protein (CPBP, synonyms: KLF6, ZF9, COPEB) can bind to the MSRA promoter at a 39-bp sequence of its 3' end. CPBP is a homologue of elongation factor-1 gamma, it can enhance MSRA gene expression , while wild-type p53 can enhance the activity of KLF6 . Abnormalities of the p53 gene caused, by a wide range of cellular stresses including hypoxia are the most common molecular abnormality in human cancer, which were found in more than 50% of malignancies . MSRA may be a point among the cyclic interconversion of MSRA, oxidation, p53 and CPBP. When oxidative damage occurs, p53, CPBP and MSRA are down-regulated in succession. Reactive oxygen can't be scavenged and promote the developing of malignant tumor. However, the real association of MSRA with oxidation, p53 and CPBP, the real mechanism of its effect on invasion and metastasis of HCC, are not clear yet, which deserves further study.
In summary, MSRA gene, located on chromosome 8p23.1, was identified as a candidate of metastasis suppressor for HCC through chromosome 8p-specific microarrays analysis in HCC clinical samples. Both its mRNA and protein levels were down-regulated significantly in HCC with metastasis compared with HCC without metastasis. In vitro functional analyses suggested that MSRA could suppress the invasive ability of HCC cells. And further studies on the actual mechanisms of the effect on invasion and metastasis of HCC are suggested.
We would like to thank Dr. L. Zhang of CapitalBio Corporation for help of microarrays experiment and Mrs. T. Lavezzi from LSU health sciences center (USA) for her critical reading of this manuscript. And this work was supported in part by China National Natural Science Foundation for Distinguished Young Scholars (30325041), the China National "863" Project (2006AA02Z473), Shanghai Science and Technology Developing Program (Grant No. 03DZ14024), Foundation for Outstanding Scholars in New Era, and the Key Project from the Ministry of Education of China.
- Parkin DM, Bray F, Ferlay J, Pisani P: Global cancer statistics, 2002. CA Cancer J Clin. 2005, 55 (2): 74-108.View ArticlePubMedGoogle Scholar
- He J, Gu D, Wu X, Reynolds K, Duan X, Yao C, Wang J, Chen CS, Chen J, Wildman RP, Klag MJ, Whelton PK: Major causes of death among men and women in China. N Engl J Med. 2005, 353 (11): 1124-1134. 10.1056/NEJMsa050467.View ArticlePubMedGoogle Scholar
- Portolani N, Coniglio A, Ghidoni S, Giovanelli M, Benetti A, Tiberio GA, Giulini SM: Early and late recurrence after liver resection for hepatocellular carcinoma: prognostic and therapeutic implications. Ann Surg. 2006, 243 (2): 229-235. 10.1097/01.sla.0000197706.21803.a1.View ArticlePubMedPubMed CentralGoogle Scholar
- Kanematsu T, Furui J, Yanaga K, Okudaira S, Shimada M, Shirabe K: A 16-year experience in performing hepatic resection in 303 patients with hepatocellular carcinoma: 1985-2000. Surgery. 2002, 131 (1 Suppl): S153-8. 10.1067/msy.2002.119497.View ArticlePubMedGoogle Scholar
- Mitsunobu M, Toyosaka A, Oriyama T, Okamoto E, Nakao N: Intrahepatic metastases in hepatocellular carcinoma: the role of the portal vein as an efferent vessel. Clin Exp Metastasis. 1996, 14 (6): 520-529. 10.1007/BF00115112.View ArticlePubMedGoogle Scholar
- Tsai TJ, Chau GY, Lui WY, Tsay SH, King KL, Loong CC, Hsia CY, Wu CW: Clinical significance of microscopic tumor venous invasion in patients with resectable hepatocellular carcinoma. Surgery. 2000, 127 (6): 603-608. 10.1067/msy.2000.105498.View ArticlePubMedGoogle Scholar
- Chambers AF, Groom AC, MacDonald IC: Dissemination and growth of cancer cells in metastatic sites. Nat Rev Cancer. 2002, 2 (8): 563-572. 10.1038/nrc865.View ArticlePubMedGoogle Scholar
- Fidler IJ: Modulation of the organ microenvironment for treatment of cancer metastasis. J Natl Cancer Inst. 1995, 87 (21): 1588-1592. 10.1093/jnci/87.21.1588.View ArticlePubMedGoogle Scholar
- Hunter KW: Host genetics and tumour metastasis. Br J Cancer. 2004, 90 (4): 752-755. 10.1038/sj.bjc.6601590.View ArticlePubMedPubMed CentralGoogle Scholar
- Ramaswamy S, Ross KN, Lander ES, Golub TR: A molecular signature of metastasis in primary solid tumors. Nat Genet. 2003, 33 (1): 49-54. 10.1038/ng1060.View ArticlePubMedGoogle Scholar
- Qin LX, Tang ZY, Sham JS, Ma ZC, Ye SL, Zhou XD, Wu ZQ, Trent JM, Guan XY: The association of chromosome 8p deletion and tumor metastasis in human hepatocellular carcinoma. Cancer Res. 1999, 59 (22): 5662-5665.PubMedGoogle Scholar
- Qin LX, Tang ZY, Ye SL, Liu YK, Ma ZC, Zhou XD, Wu ZQ, Lin ZY, Sun FX, Tian J, Guan XY, Pack SD, Zhuang ZP: Chromosome 8p deletion is associated with metastasis of human hepatocellular carcinoma when high and low metastatic models are compared. J Cancer Res Clin Oncol. 2001, 127 (8): 482-488. 10.1007/s004320100236.View ArticlePubMedGoogle Scholar
- Wu X, Jia HL, Wang YF, Ren N, Ye QH, Sun HC, Wang L, Liu YK, Tang ZY, Qin LX: HTPAP gene on chromosome 8p is a candidate metastasis suppressor for human hepatocellular carcinoma. Oncogene. 2006, 25 (12): 1832-1840. 10.1038/sj.onc.1209191.View ArticlePubMedGoogle Scholar
- Ye QH, Qin LX, Forgues M, He P, Kim JW, Peng AC, Simon R, Li Y, Robles AI, Chen Y, Ma ZC, Wu ZQ, Ye SL, Liu YK, Tang ZY, Wang XW: Predicting hepatitis B virus-positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning. Nat Med. 2003, 9 (4): 416-423. 10.1038/nm843.View ArticlePubMedGoogle Scholar
- Li Y, Tian B, Yang J, Zhao L, Wu X, Ye SL, Liu YK, Tang ZY: Stepwise metastatic human hepatocellular carcinoma cell model system with multiple metastatic potentials established through consecutive in vivo selection and studies on metastatic characteristics. J Cancer Res Clin Oncol. 2004, 130 (8): 460-468. 10.1007/s00432-004-0564-9.View ArticlePubMedGoogle Scholar
- Tian J, Tang ZY, Ye SL, Liu YK, Lin ZY, Chen J, Xue Q: New human hepatocellular carcinoma (HCC) cell line with highly metastatic potential (MHCC97) and its expressions of the factors associated with metastasis. Br J Cancer. 1999, 81 (5): 814-821. 10.1038/sj.bjc.6690769.View ArticlePubMedPubMed CentralGoogle Scholar
- Dobbin K, Simon R: Comparison of microarray designs for class comparison and class discovery. Bioinformatics. 2002, 18 (11): 1438-1445. 10.1093/bioinformatics/18.11.1438.View ArticlePubMedGoogle Scholar
- UniGene clusters in GenBank.Google Scholar
- Guo Y, Guo H, Zhang L, Xie H, Zhao X, Wang F, Li Z, Wang Y, Ma S, Tao J, Wang W, Zhou Y, Yang W, Cheng J: Genomic analysis of anti-hepatitis B virus (HBV) activity by small interfering RNA and lamivudine in stable HBV-producing cells. J Virol. 2005, 79 (22): 14392-14403. 10.1128/JVI.79.22.14392-14403.2005.View ArticlePubMedPubMed CentralGoogle Scholar
- Patterson TA, Lobenhofer EK, Fulmer-Smentek SB, Collins PJ, Chu TM, Bao W, Fang H, Kawasaki ES, Hager J, Tikhonova IR, Walker SJ, Zhang L, Hurban P, de Longueville F, Fuscoe JC, Tong W, Shi L, Wolfinger RD: Performance comparison of one-color and two-color platforms within the MicroArray Quality Control (MAQC) project. Nat Biotechnol. 2006, 24 (9): 1140-1150. 10.1038/nbt1242.View ArticlePubMedGoogle Scholar
- Storey JD, Tibshirani R: Statistical significance for genomewide studies. Proceedings of the National Academy of Sciences of the United States of America. 2003, 100 (16): 9440-9445. 10.1073/pnas.1530509100.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhao L, Qin LX, Ye QH, Zhu XQ, Zhang H, Wu X, Chen J, Liu YK, Tang ZY: KIAA0008 gene is associated with invasive phenotype of human hepatocellular carcinoma--a functional analysis. J Cancer Res Clin Oncol. 2004, 130 (12): 719-727. 10.1007/s00432-004-0595-2.View ArticlePubMedGoogle Scholar
- Johnson MR, Wang K, Smith JB, Heslin MJ, Diasio RB: Quantitation of dihydropyrimidine dehydrogenase expression by real-time reverse transcription polymerase chain reaction. Anal Biochem. 2000, 278 (2): 175-184. 10.1006/abio.1999.4461.View ArticlePubMedGoogle Scholar
- Tantivejkul K, Kalikin LM, Pienta KJ: Dynamic process of prostate cancer metastasis to bone. J Cell Biochem. 2004, 91 (4): 706-717. 10.1002/jcb.10664.View ArticlePubMedGoogle Scholar
- Takeo S, Arai H, Kusano N, Harada T, Furuya T, Kawauchi S, Oga A, Hirano T, Yoshida T, Okita K, Sasaki K: Examination of oncogene amplification by genomic DNA microarray in hepatocellular carcinomas: comparison with comparative genomic hybridization analysis. Cancer Genet Cytogenet. 2001, 130 (2): 127-132. 10.1016/S0165-4608(01)00479-4.View ArticlePubMedGoogle Scholar
- Thiagalingam S, Foy RL, Cheng KH, Lee HJ, Thiagalingam A, Ponte JF: Loss of heterozygosity as a predictor to map tumor suppressor genes in cancer: molecular basis of its occurrence. Curr Opin Oncol. 2002, 14 (1): 65-72. 10.1097/00001622-200201000-00012.View ArticlePubMedGoogle Scholar
- Yoshida BA, Sokoloff MM, Welch DR, Rinker-Schaeffer CW: Metastasis-suppressor genes: a review and perspective on an emerging field. J Natl Cancer Inst. 2000, 92 (21): 1717-1730. 10.1093/jnci/92.21.1717.View ArticlePubMedGoogle Scholar
- Welch DR, Rinker-Schaeffer CW: What defines a useful marker of metastasis in human cancer?. J Natl Cancer Inst. 1999, 91 (16): 1351-1353. 10.1093/jnci/91.16.1351.View ArticlePubMedGoogle Scholar
- Zhang LH, Qin LX, Ma ZC, Ye SL, Liu YK, Ye QH, Wu X, Huang W, Tang ZY: Allelic imbalance regions on chromosomes 8p, 17p and 19p related to metastasis of hepatocellular carcinoma: comparison between matched primary and metastatic lesions in 22 patients by genome-wide microsatellite analysis. J Cancer Res Clin Oncol. 2003, 129 (5): 279-286.PubMedGoogle Scholar
- Li SP, Wang HY, Li JQ, Zhang CQ, Feng QS, Huang P, Yu XJ, Huang LX, Liang QW, Zeng YX: Genome-wide analyses on loss of heterozygosity in hepatocellular carcinoma in Southern China. J Hepatol. 2001, 34 (6): 840-849. 10.1016/S0168-8278(01)00047-2.View ArticlePubMedGoogle Scholar
- Wang G, Zhao Y, Liu X, Wang L, Wu C, Zhang W, Liu W, Zhang P, Cong W, Zhu Y, Zhang L, Chen S, Wan D, Zhao X, Huang W, Gu J: Allelic loss and gain, but not genomic instability, as the major somatic mutation in primary hepatocellular carcinoma. Genes Chromosomes Cancer. 2001, 31 (3): 221-227. 10.1002/gcc.1138.View ArticlePubMedGoogle Scholar
- Takanishi DM, Kim SY, Kelemen PR, Yaremko ML, Kim AH, Ramesar JE, Horrigan SK, Montag A, Michelassi F, Westbrook CA: Chromosome 8 Losses in Colorectal Carcinoma: Localization and Correlation With Invasive Disease. Mol Diagn. 1997, 2 (1): 3-10. 10.1016/S1084-8592(97)80003-3.View ArticlePubMedGoogle Scholar
- Parada LA, Maranon A, Hallen M, Tranberg KG, Stenram U, Bardi G, Johansson B: Cytogenetic analyses of secondary liver tumors reveal significant differences in genomic imbalances between primary and metastatic colon carcinomas. Clin Exp Metastasis. 1999, 17 (6): 471-479. 10.1023/A:1006646901556.View ArticlePubMedGoogle Scholar
- Muscheck M, Abol-Enein H, Chew K, Moore D, Bhargava V, Ghoneim MA, Carroll PR, Waldman FM: Comparison of genetic changes in schistosome-related transitional and squamous bladder cancers using comparative genomic hybridization. Carcinogenesis. 2000, 21 (9): 1721-1726. 10.1093/carcin/21.9.1721.View ArticlePubMedGoogle Scholar
- Ohgaki K, Iida A, Ogawa O, Kubota Y, Akimoto M, Emi M: Localization of tumor suppressor gene associated with distant metastasis of urinary bladder cancer to a 1-Mb interval on 8p22. Genes Chromosomes Cancer. 1999, 25 (1): 1-5. 10.1002/(SICI)1098-2264(199905)25:1<1::AID-GCC1>3.0.CO;2-3.View ArticlePubMedGoogle Scholar
- Yokota T, Yoshimoto M, Akiyama F, Sakamoto G, Kasumi F, Nakamura Y, Emi M: Localization of a tumor suppressor gene associated with the progression of human breast carcinoma within a 1-cM interval of 8p22-p23.1. Cancer. 1999, 85 (2): 447-452. 10.1002/(SICI)1097-0142(19990115)85:2<447::AID-CNCR24>3.0.CO;2-Y.View ArticlePubMedGoogle Scholar
- Kujawski M, Sarlomo-Rikala M, Gabriel A, Szyfter K, Knuutila S: Recurrent DNA copy number losses associated with metastasis of larynx carcinoma. Genes Chromosomes Cancer. 1999, 26 (3): 253-257. 10.1002/(SICI)1098-2264(199911)26:3<253::AID-GCC10>3.0.CO;2-A.View ArticlePubMedGoogle Scholar
- Bissig H, Richter J, Desper R, Meier V, Schraml P, Schaffer AA, Sauter G, Mihatsch MJ, Moch H: Evaluation of the clonal relationship between primary and metastatic renal cell carcinoma by comparative genomic hybridization. Am J Pathol. 1999, 155 (1): 267-274.View ArticlePubMedPubMed CentralGoogle Scholar
- Petersen S, Aninat-Meyer M, Schluns K, Gellert K, Dietel M, Petersen I: Chromosomal alterations in the clonal evolution to the metastatic stage of squamous cell carcinomas of the lung. Br J Cancer. 2000, 82 (1): 65-73. 10.1054/bjoc.1999.0878.View ArticlePubMedGoogle Scholar
- Nihei N, Kouprina N, Larionov V, Oshima J, Martin GM, Ichikawa T, Barrett JC: Functional evidence for a metastasis suppressor gene for rat prostate cancer within a 60-kilobase region on human chromosome 8p21-p12. Cancer Res. 2002, 62 (2): 367-370.PubMedGoogle Scholar
- Yuan BZ, Miller MJ, Keck CL, Zimonjic DB, Thorgeirsson SS, Popescu NC: Cloning, characterization, and chromosomal localization of a gene frequently deleted in human liver cancer (DLC-1) homologous to rat RhoGAP. Cancer Res. 1998, 58 (10): 2196-2199.PubMedGoogle Scholar
- Ishii H, Baffa R, Numata SI, Murakumo Y, Rattan S, Inoue H, Mori M, Fidanza V, Alder H, Croce CM: The FEZ1 gene at chromosome 8p22 encodes a leucine-zipper protein, and its expression is altered in multiple human tumors. Proc Natl Acad Sci U S A. 1999, 96 (7): 3928-3933. 10.1073/pnas.96.7.3928.View ArticlePubMedPubMed CentralGoogle Scholar
- Liao C, Zhao M, Song H, Uchida K, Yokoyama KK, Li T: Identification of the gene for a novel liver-related putative tumor suppressor at a high-frequency loss of heterozygosity region of chromosome 8p23 in human hepatocellular carcinoma. Hepatology. 2000, 32 (4 Pt 1): 721-727. 10.1053/jhep.2000.17967.View ArticlePubMedGoogle Scholar
- Armes JE, Hammet F, de Silva M, Ciciulla J, Ramus SJ, Soo WK, Mahoney A, Yarovaya N, Henderson MA, Gish K, Hutchins AM, Price GR, Venter DJ: Candidate tumor-suppressor genes on chromosome arm 8p in early-onset and high-grade breast cancers. Oncogene. 2004, 23 (33): 5697-5702. 10.1038/sj.onc.1207740.View ArticlePubMedGoogle Scholar
- Park WS, Lee JH, Park JY, Jeong SW, Shin MS, Kim HS, Lee SK, Lee SN, Lee SH, Park CG, Yoo NJ, Lee JY: Genetic analysis of the liver putative tumor suppressor (LPTS) gene in hepatocellular carcinomas. Cancer Lett. 2002, 178 (2): 199-207. 10.1016/S0304-3835(01)00841-2.View ArticlePubMedGoogle Scholar
- Nonaka D, Fabbri A, Roz L, Mariani L, Vecchione A, Moore GW, Tavecchio L, Croce CM, Sozzi G: Reduced FEZ1/LZTS1 expression and outcome prediction in lung cancer. Cancer Res. 2005, 65 (4): 1207-1212. 10.1158/0008-5472.CAN-04-3461.View ArticlePubMedGoogle Scholar
- Arai T, Akiyama Y, Yamamura A, Hosoi T, Shibata T, Saitoh K, Okabe S, Yuasa Y: Allelotype analysis of early colorectal cancers with lymph node metastasis. Int J Cancer. 1998, 79 (4): 418-423. 10.1002/(SICI)1097-0215(19980821)79:4<418::AID-IJC18>3.0.CO;2-0.View ArticlePubMedGoogle Scholar
- Kuschel L, Hansel A, Schonherr R, Weissbach H, Brot N, Hoshi T, Heinemann SH: Molecular cloning and functional expression of a human peptide methionine sulfoxide reductase (hMsrA). FEBS Lett. 1999, 456 (1): 17-21. 10.1016/S0014-5793(99)00917-5.View ArticlePubMedGoogle Scholar
- Etienne F, Resnick L, Sagher D, Brot N, Weissbach H: Reduction of Sulindac to its active metabolite, sulindac sulfide: assay and role of the methionine sulfoxide reductase system. Biochem Biophys Res Commun. 2003, 312 (4): 1005-1010. 10.1016/j.bbrc.2003.10.203.View ArticlePubMedGoogle Scholar
- Kantorow M, Hawse JR, Cowell TL, Benhamed S, Pizarro GO, Reddy VN, Hejtmancik JF: Methionine sulfoxide reductase A is important for lens cell viability and resistance to oxidative stress. Proc Natl Acad Sci U S A. 2004, 101 (26): 9654-9659. 10.1073/pnas.0403532101.View ArticlePubMedPubMed CentralGoogle Scholar
- Moskovitz J, Weissbach H, Brot N: Cloning the expression of a mammalian gene involved in the reduction of methionine sulfoxide residues in proteins. Proceedings of the National Academy of Sciences of the United States of America. 1996, 93 (5): 2095-2099. 10.1073/pnas.93.5.2095.View ArticlePubMedPubMed CentralGoogle Scholar
- Kim HY, Gladyshev VN: Alternative first exon splicing regulates subcellular distribution of methionine sulfoxide reductases. BMC molecular biology. 2006, 7: 11-10.1186/1471-2199-7-11.View ArticlePubMedPubMed CentralGoogle Scholar
- Hanbauer I, Boja ES, Moskovitz J: A homologue of elongation factor 1 gamma regulates methionine sulfoxide reductase A gene expression in Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences of the United States of America. 2003, 100 (14): 8199-8204. 10.1073/pnas.1432898100.View ArticlePubMedPubMed CentralGoogle Scholar
- Rubinstein M, Idelman G, Plymate SR, Narla G, Friedman SL, Werner H: Transcriptional activation of the insulin-like growth factor I receptor gene by the Kruppel-like factor 6 (KLF6) tumor suppressor protein: potential interactions between KLF6 and p53. Endocrinology. 2004, 145 (8): 3769-3777. 10.1210/en.2004-0173.View ArticlePubMedGoogle Scholar
- Hall PA: p53: The Challenge of Linking Basic Science and Patient Management. Oncologist. 1998, 3 (4): 218-224.PubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/7/172/prepub
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