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Cell, Tumor, and Stem Cell Biology |
1 Division of Gastroenterology, Department of Medicine, and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland; 2 Department of Surgery, Graduate School of Medicine, and 3 Department of Nanobio Drug Discovery, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, Japan; and 4 Department of Surgery and Science, Graduate School of Medicine and Pharmaceutical Sciences Research, University of Toyama, Toyama, Japan
Requests for reprints: Fumiaki Sato, Department of Nanobio Drug Discovery, Graduate School of Pharmaceutical Sciences, Kyoto University, Main Building A320, Shimoadachi-cho 46-29, Yoshida, Sakyo-ku, Kyoto 606-8501, Japan. Phone: 81-75-753-9559; Fax: 81-75-753-9557; E-mail: fsato{at}pharm.kyoto-u.ac.jp, or Stephen J. Meltzer, Division of Gastroenterology, Department of Medicine, Johns Hopkins University School of Medicine, Room 112, 1503 East Jefferson Street, Baltimore, MD 21231. Phone: 410-502-6071; Fax: 410-502-1099; E-mail: smeltzer{at}jhmi.edu.
| Abstract |
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| Introduction |
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Pituitary tumor-transforming 1 (PTTG1), also known as human securin, was originally isolated from rat pituitary tumor cells (3). PTTG1 possesses multiple physiologic functions critical to normal cellular mitosis, which are exerted through the maintenance of sister chromatid separation (4). PTTG1 overexpression has been reported in a variety of cancers including ESCC (5–7). PTTG1 levels correlate with tumor invasiveness (8), and PTTG1 has been identified as a key signature gene in tumor metastasis (9). However, mechanisms underlying the involvement of PTTG1 in lymph node metastasis are poorly understood.
Recently, we discovered that PTTG1 was overexpressed in ESCC tumors versus normal organs and exhibited much higher promoter activity in ESCC cells than in normal epithelial cells (10). Based on these findings, we hypothesized that PTTG1 represented a promising potential therapeutic target in ESCC. Nevertheless, the clinical significance and biological involvement of PTTG1 in the progression of gastrointestinal cancers, including ESCCs, have not yet been elucidated. Therefore, we sought to clarify the clinical effect and the in vitro and in vivo biological functions of PTTG1 in ESCC, using 113 surgically resected primary ESCC specimens, small interfering RNAs (siRNA) directed against PTTG1, esophageal cell lines, and in vitro and in vivo metastasis assays.
| Materials and Methods |
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Antibodies and siRNAs. Anti-human PTTG1 rabbit polyclonal antibody, clone Z23 (Invitrogen; diluted 1:250), was used for immunohistochemical studies, Western blotting, and immunofluorescence staining (diluted 1:200). Mouse monoclonal anti-human β-actin antibody, clone AC-15 (1:10,000; Sigma), mouse monoclonal anti–lamin A/C antibody (1:100; Santa Cruz Biotechnology), and mouse monoclonal anti–glyceraldehyde-3-phosphate (GAPDH) antibody, clone 71.1 (1:20,000; Sigma), were used for Western blotting. Horseradish peroxidase–labeled antirabbit IgG (1:2,500; Chemicon) or antimouse IgG (1:5,000; Invitrogen) was used as a secondary antibody for Western blotting. Two siRNAs directed against PTTG1 (P1 and P2) were synthesized by Dharmacon. P1 was designed by the authors via siDirect, an siRNA design software (12), whereas P2 had previously been designed by others (13). The siRNA target sequences were as follows: P1, 5'-GTGACATAGATATTTAAAT-3' (position 638–656, NM_004219); P2, 5'-GTCTGTAAAGACCAAGGGA-3' (position 264–282). A nontargeting control siRNA (NTC; Dharmacon) served as a negative control.
Immunohistochemical staining. Resected esophageal specimens were fixed in 10% formaldehyde and embedded in paraffin blocks. Using 4-µm-thick sections, immunohistochemical staining was done with an Envision kit (DakoCytomation; ref. 14). As a negative control, the primary antibody was replaced with a normal mouse IgG. All slides were independently evaluated by two investigators (T.I. and Y.S.) lacking prior knowledge of each patient's clinical information. Whenever opinions of these two evaluators differed, agreement was reached by careful discussion.
Cell cultures. Human ESCC cell lines of the KYSE series, as well as HSA/c, were established and maintained in Ham's F12/RPMI 1640 (Invitrogen) containing 5% fetal bovine serum (FBS), as previously described (14, 15). Nonmalignant human esophageal epithelial cells (HEEpiC; ScienCell) were maintained in Epithelial Cell Medium 2 (ScienCell) according to the provider's instructions.
Western blotting and subcellular fractionation. Cells were washed with PBS and lysed in Laemmli sample buffer (Bio-Rad) at room temperature. Protein concentration was estimated with BCA Protein Assay kit (Pierce). Cell lysates (15 µg) were electrophoresed on a 15% polyacrylamide gel (Bio-Rad) and transferred onto polyvinylidene difluoride membranes (Millipore). After being blocked with TBS containing 5% skim milk and 0.1% Tween 20 for 1 h, membranes were incubated with the primary and secondary antibodies at room temperature for 2 and 1 h, respectively, and then bands were visualized with enhanced chemiluminescence plus reagent (GE Healthcare). All bands were quantified using ImageJ v1.34 (U.S. NIH).5 For subcellular fractionation assays, nuclear and cytoplasmic fractions were separated with NE-PER Nuclear and Cytoplasmic Extraction Reagents (Pierce). GAPDH and lamin A/C were used as cytoplasmic and nuclear markers, respectively, as previously described (16, 17).
Transfections. Three ESCC cell lines (i.e., KYSE140, KYSE410, and HSA/c) were separately and transiently transfected with three siRNAs, specifically NTC, P1, and P2, using Lipofectamine RNAiMAX (LF; Invitrogen) according to the manufacturer's protocol. Cells were plated at 2 x 105 per well onto six-well plates (Corning) 1 d before transfection (day 0). The siRNA (200 pmol/well) was transfected into cells at day 1, and total RNA and protein were extracted at day 4. No treatment (LF–) and Lipofectamine RNAiMAX alone (LF+) were included as negative controls.
Quantitative reverse transcription-PCR analysis. Total RNA was extracted with Trizol reagent (Invitrogen). Quantitative reverse transcription-PCR (RT-PCR) with SYBR Green QuantiTect RT-PCR kit (Qiagen) was done on an iQ5 real-time PCR machine (Bio-Rad) as previously described (10). mRNA expression in each sample was normalized to average β-actin expression in each sample. The primer sequences are listed in Supplementary Table S1.
Immunofluorescence staining. Immunofluorescence staining was done as previously described (18). Briefly, siRNA-transfected cells were seeded onto a coverslip at day 4 and incubated for 1 additional day. Cells were fixed with 1% formaldehyde in PBS for 15 min, treated with 0.2% Triton X-100 in PBS for 10 min, blocked with 1% bovine serum albumin in PBS, and incubated with a primary antibody and antirabbit Alexa Fluor 568 (Invitrogen) at room temperature for 1 h and 30 min, respectively. Nuclei were counterstained with 4',6-diamidino-2-phenylindole (DAPI; Roche Diagnostics). The cells were mounted and viewed under a fluorescence microscope (Carl Zeiss).
Cell migration/invasion assays. Cell motility (chemotaxis) and invasiveness were determined with Transwell and Matrigel chamber inserts, respectively (24-well-format with 8-µm pores, BD Biosciences), as previously described (19). Cells (5 x 104) were seeded onto the upper chamber at day 4, with 20% FBS in the lower chamber as a chemoattractant. After incubation at 37°C for 24 h, membranes were stained and all cells on the lower membrane surface were counted under a light microscope. The number of cells migrating through Matrigel inserts represented a combination of cell penetration through the Matrigel layer and cell migration through the small membrane pores (20). To distinguish between these two biological processes, we defined an invasion index (i.e., cell penetration through the Matrigel layer) as the ratio of the mean number of cells migrating through the Matrigel insert to the mean number of cells migrating through the Transwell membrane.
In vivo lymph node metastasis assay. This assay was done using an in vivo popliteal lymph node metastasis model (14). HSA/c cells (3 x 106) were transfected with an siRNA in vitro, harvested 72 h after transfection, and inoculated into both footpads of 5-wk-old male athymic nude mice (Harlan) at day 0. SiRNA (20 µg) conjugated with polyethylenimine (in vivo jetPEI, Polyplus Transfection) was injected intratumorally on days 7, 14, and 21. Polyethylenimine/siRNA complexes were prepared at a polyethylenimine/siRNA (N/P) ratio equal to 10, as previously described (21). For vehicle control treatments, Lipofectamine RNAiMAX (Invitrogen) and polyethylenimine (Polyplus Transfection) without siRNA were used in vitro and in vivo, respectively. Ten primary footpad tumors from five mice were analyzed for each treatment condition (vehicle, NTC, P1, and P2). All mice were sacrificed at day 28, and all primary tumors and popliteal lymph nodes were enucleated and fixed in 10% formaldehyde/PBS. All lymph nodes and primary tumors were paraffin embedded, stained with H&E and PTTG1, and examined for the presence of metastases. All animal procedures were approved by the institutional animal committee and executed in accordance with institutional guidelines.
Bead-array gene expression analyses. HSA/c and KYSE140 cells were separately transfected with one of three siRNAs (NTC, P1, and P2) or with Lipofectamine alone (LF+), as described above, and harvested 72 h after transfection. Following RNA quality assessment done on a Bioanalyzer 2100 (Agilent Technologies), each RNA sample (100 ng), extracted using an RNeasy kit (Qiagen), was amplified with an Illumina TotalPrep RNA Amplification kit (Ambion), hybridized to an Illumina Human RefSeq8 version 2 BeadChip containing 20,589 transcript probes composed of optimized 50-mer oligonucleotides (Illumina), washed, and stained with Cy3-streptavidin (GE Healthcare) per manufacturer's instructions (22). Arrays were scanned with Illumina Beadarray Reader confocal scanner and data were processed using Illumina BeadStudio software. Data were subjected to intensity-dependent normalization, and differentially expressed genes associated with PTTG1 down-regulation were identified by significance analysis of microarrays (23). All processed and raw data are available in Minimum Information about Microarray Gene Experiment–compliant format via the Gene Expression Omnibus.6 Accession numbers are GSE7447, GSM180360, GSM180361, GSM180362, GSM180363, GSM180364, GSM180365, GSM180366, GSM180367, and GSM180368. Expression profiles of HSA-P1, HSA-P2, KYSE140-P1, and KYSE140-P2, which were designated gene profiles associated with PTTG1 down-regulation, were compared with expression profiles of HSA-LF+, HSA-NTC, KYSE140-LF+, and KYSE140-NTC, which were considered intact-PTTG1 cell profiles. Fold changes on bead array were calculated by dividing the average signal intensity of all down-regulated-PTTG1 profiles by the average of all intact-PTTG1 profiles. For validation of expression profiles, the mRNA expression level of each gene was analyzed by quantitative RT-PCR, as described above. Fold change for each gene assessed by quantitative RT-PCR was calculated as the ratio of average expression in all PTTG1-downregulated cells (HSA-P1, HSA-P2, KYSE140-P1, and KYSE140-P2) to average expression in all intact-PTTG1 cells (HSA-LF+, HSA-NTC, KYSE140-LF+, and KYSE140-NTC). ELISA for basic fibroblast growth factor (bFGF; immunoassay kit, BioSource) was done with cell culture medium according to the manufacturer's protocol.
Statistical analyses. Survival curves were generated according to the Kaplan-Meier method, and differences in survival were analyzed by log-rank testing. Univariate and multivariate analyses were done using the Cox proportional hazards model. Correlations between PTTG1 expression and each clinicopathologic parameter were evaluated using Pearson's
2 test. The Tukey-Kramer multiple comparison test was used to evaluate phenotypes of each cell. All statistical calculations were done using StatView version 5 (SAS Institute) and Statistica version 6.1 (StatSoft). P < 0.05 was considered significant.
| Results |
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10% of cases; data not shown), particularly in the proliferative layer just above the basal cells. PTTG1 expression in ESCC specimens, evaluated based exclusively on cytoplasmic staining, occurred as follows: 14 tumors were negative for expression (–), 31 manifested expression in 0% to 10% of tumor cells (1+), 52 revealed expression in 10% to 30% of tumor cells (2+), and 16 were characterized by expression in >30% of tumor cells (3+). Next, we classified 2+ or 3+ PTTG1 expression as PTTG1 positive (68 of 113, 60.2%). Under this classification system, PTTG1 expression was significantly associated with regional lymph node metastasis (pN; P = 0.042), distant lymph node metastasis (pM; P = 0.005), and tumor stage (pTNM; P = 0.028), but not with depth of primary tumor invasion (pT; P = 0.933). Kaplan-Meier survival analysis showed that patients with PTTG1-positive tumors had significantly worse survivals than did those with PTTG1-negative tumors (P = 0.017, log-rank test; Fig. 1B). Furthermore, univariate analyses revealed that PTTG1 expression was a significant predictor of survival [risk ratio, 1.75; 95% confidence interval (95% CI), 1.01–3.00; P = 0.044; Table 1B]. Multivariate analyses revealed that PTTG1 expression tended to be an independent prognostic factor, although this trend did not achieve statistical significance (risk ratio, 1.61; 95% CI, 0.92–2.91; P = 0.093; Table 1C). Several tumors showed strong PTTG protein expression in cell nuclei. We also evaluated nuclear staining in all 113 ESCC tumors. Nuclear PTTG1 protein expression occurring in >10% of tumor cells was observed in only 7 of 113 (6.2%) ESCC tumors. However, nuclear PTTG1 staining did not correlate with any clinicopathologic features or survival. We also compared the no-expression group (–; n = 14) to the any-expression group (1+–3+; n = 99). In this analysis, any level of PTTG1 expression was associated with distant lymph node metastasis (pM; P = 0.049), but not with primary tumor invasion (pT; P = 0.532), regional lymph node metastasis (pN; P = 0.222), tumor stage (pTNM; P = 0.523), or histologic grade (P = 0.098). Kaplan-Meier survival analysis showed a trend toward association of any PTTG1 expression with poor survival (P = 0.164, log-rank test). Interestingly, none of the 14 PTTG1-negative tumors gave rise to distant lymph node metastases.
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Knockdown of PTTG1 expression in ESCC cells. We transiently transfected either a PTTG1 siRNA (P1 or P2) or a NTC into three different ESCC cell lines (HSA/c, KYSE140, and KYSE410). By quantitative RT-PCR, PTTG1 mRNA expression was inhibited by 84% to 86% in HSA/c, 88% to 93% in KYSE140, and 90% to 92% in KYSE410 cells (Fig. 2A ). By Western blotting, PTTG1 protein expression was inhibited by 77% to 93% in HSA/c, 86% to 88% in KYSE140, and 92% to 97% in KYSE410 cells (Fig. 2B). By fluorescence microscopy and flow cytometry, we confirmed that transfected FAM-labeled siRNAs were taken up by >90% of cells (data not shown). A subcellular fractionation assay in PTTG1-down-regulated HSA/c cells showed that both of the PTTG1 siRNAs (P1 and P2) suppressed both nuclear and cytoplasmic PTTG1 expression (Fig. 2C). We also examined PTTG1 expression in these cells by immunofluorescence staining (Fig. 2D). Whereas PTTG1 was expressed in both the cytoplasm and nucleus of ESCC cells in negative control transfections (LF+ and NTC), the siRNAs directed against PTTG1 (P1 and P2) markedly suppressed PTTG1 expression in these cells, corroborating the results of Western blotting.
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). We then confirmed differential expression of selected genes in these same RNA samples by quantitative RT-PCR and found that fold changes in gene expression discovered by bead array correlated strongly with fold changes found by quantitative RT-PCR (r2 = 0.885; P < 0.0001, Pearson's correlation coefficient). PTTG1 was identified as the gene most markedly down-regulated among 20,589 transcripts, closely agreeing with quantitative RT-PCR results for PTTG1 (bead-array fold change, 0.12; quantitative RT-PCR fold change, 0.14).
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| Discussion |
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Overexpression of PTTG1 protein was a frequent event in ESCC primary tumors and cell lines (Table 1A; Fig. 2A). This finding confirmed the observation in previous studies that PTTG1 is implicated in the development, progression, and lymph node metastasis of breast, gastric, and esophageal cancers (5–7). Our PTTG1 protein expression data in 113 tumors were compatible with these results. In the current study, protein levels of PTTG1 were associated with the presence of lymph node metastases in ESCC. In addition, PTTG1 expression was a significant survival predictor in univariate analyses, whereas PTTG1 was not an independent predictor by multivariate analysis. Because lymph node status is strongly associated with PTTG1 expression level and patient survival (Table 1A and B), PTTG1 expression may contribute to poor patient survival (Fig. 1B) by promoting lymph node metastasis.
PTTG1 protein expression was observed in both the cytoplasm and nucleus in ESCC primary tumors and cell lines. In contrast, PTTG1 was localized only to the nucleus in normal esophageal epithelial cells, particularly in the proliferative esophageal epithelial layer just above the basal cells (Fig. 1A). Western blotting using subcellular fractionated samples (Fig. 2B) confirmed this immunohistochemical finding as well as the findings in other normal cell types (24). This difference in subcellular localization of PTTG1 protein between normal and cancer cells suggests that PTTG1 localized to the nucleus may play a physiologic role in normal cell division, whereas PTTG1 localized to the cytoplasm may be related to the malignant phenotype. Therefore, it is reasonable to categorize PTTG1 expression levels by cytoplasmic staining of PTTG1 in ESCC cells. In fact, nuclear PTTG1 staining in 113 ESCC tumors did not correlate with any clinicopathologic features, whereas cytoplasmic PTTG1 staining correlated with several clinical parameters. Mechanisms underlying dysregulation in the subcellular translocation of PTTG1 in ESCC cells remain unclear. However, two different siRNAs directed against PTTG1 effectively knocked down both cytoplasmic and nuclear PTTG1 protein expression in ESCC cells.
The process of lymph node metastasis consists of many steps, including tumor enlargement, lymphangiogenesis, migration into lymphatic capillaries, survival in the lymphatic stream, entry into the subcapsular sinus, invasion of the lymph node cortex, and persistent proliferation (25). The endothelium of lymph capillary has overlapping loose junctions and a discontinuous or absent basement membrane, permitting the passage of large biological macromolecules, pathogens, and migrating cells (26). Once tumor cells reach the adjacent lymphatic capillaries (formation of intratumor lymphatic capillaries may be unnecessary; ref. 27), tumor cells migrate into capillary lumina either through open interendothelial gaps or by inducing the opening of closed gaps (18). As clearly shown in Transwell and Matrigel chamber assays with siRNAs against PTTG1, PTTG1 knockdown reduced cell motility, but interestingly, not penetration through the Matrigel layer. This finding suggests that PTTG1 may promote the entry of tumor cells into lymph capillary lumina by increasing tumor cell motility, which is considered an early stage in the multistep theory of lymph node metastasis. Previously, we have shown that cell motility is closely associated with lymph node metastasis and poor survival (14, 18, 28, 29). For example, reduced expression of motility-related protein 1 and overexpression of chemokine (CC motif) receptor 7 were associated with lymph node metastases in ESCCs (28, 29). Similarly, overexpression of fascin, an actin-bundling protein related to cell motility, was significantly associated with regional lymph node metastasis and poor survival in ESCC patients, and down-regulation of fascin in ESCC cells decreased their motility (18). Moreover, overexpression of osteopontin, an integrin-binding secreted glycoprotein associated with cell motility, was significantly associated with distant lymph node metastasis and poor survival of ESCC patients, and knockdown of osteopontin expression in ESCC cells induced by an inducible short hairpin RNA vector decreased their motility, invasiveness, and popliteal lymph node metastasis from footpads of nude mice (14). As shown in the current study, knockdown of PTTG1 expression in ESCC cells by in vitro and in vivo transfection significantly decreased popliteal lymph node metastases from footpads in nude mice. Thus, PTTG1 may be related to cell motility and lymph node metastasis in ESCC.
To identify potential downstream genes in the PTTG1 pathway, we performed global gene expression profiling using a bead array–based technique and siRNAs directed against PTTG1. As shown in Table 3, siRNAs directed against PTTG1 down-regulated the expression of several Ras and Rho gene family members known to play central roles in cell motility via actin cytoskeleton rearrangement (30). Some of the genes identified by this strategy have exhibited clinical correlation with poor survival or metastasis. RRAS, which plays a key role in cell motility by modulating Rho and Rac activities (31), promotes metastasis in cervical cancer (32). RHOG, which regulates cell motility through Rac1 activation (33), is related to lymph node metastasis and poor prognosis in breast cancer patients (34). ARHGDIA, which acts as an inhibitor of Rho family members, is related to poor survival in lung cancer patients (35). ARHGAP1 modulates Rho-mediated signaling pathways through activation of p21-Rho (36), but the relationship between ARHGAP1 and cancer metastasis is unknown. Interestingly, FSCN1 (fascin), which regulates cell motility through its actin-bundling function, was also down-regulated in our study by siRNAs against PTTG1. In contrast, potential tumor suppressors or metastasis suppressors, including CALU (37, 38), HOXD8 (39), GCLC (40), ST13 (41), and CXCL14 (42), were up-regulated by PTTG1 down-regulation. THBS1 (thrombospondin 1), a potential angiogenesis inhibitor, was up-regulated by PTTG1 down-regulation. Consistent with this result, Kim et al. (43) reported that THBS1 expression was suppressed in PTTG1-overexpressing thyroid cells, and that down-regulation of PTTG1 increased THBS1 expression. THBS1 also predicts poor survival and represents a marker of tumor aggressiveness in thyroid cancer (44). bFGF and VEGF, which are known PTTG1-related genes, were also included in the gene list derived from our expression profiling. However, their expression levels did not change after PTTG1 knockdown in our experimental setting. Thus, cell motility regulated by PTTG1 could be independent of bFGF or VEGF in ESCC cells. Taken together, these microarray results suggest that PTTG1 may modulate the expression of multiple cell motility–related genes, including Ras-Rho oncogene superfamily members, and provide potentially valuable clues to understanding the mechanisms underlying cell migration regulated by PTTG1.
In summary, PTTG1 overexpression in ESCC primary tumors was associated with lymph node metastasis and poor survival, and PTTG1 knockdown inhibited ESCC cell motility in vitro and lymph node metastasis in vivo, possibly by regulating Ras-Rho motility-related gene family members. Therefore, it is possible that PTTG1 promotes lymph node metastasis in ESCC by enhancing cell motility. In addition, PTTG1 may represent a useful biomarker of poor survival and lymph node metastasis in ESCC, as well as a promising therapeutic target for the treatment of lymph node metastases in ESCC patients.
| Acknowledgments |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
We thank Sakiko Shimada for assistance in immunohistochemistry; Dr. Fred Bunz, Leslie Meszler, and Lillian Dasko-Vincent (Cell Imaging Core, Johns Hopkins University) for assistance in flow cytometry; Dr. Chris Cheadle and Tonya Watkins (Genomics Core, Johns Hopkins University) for support in the bead array analysis; Dr. Sandra Guggino and Jennifer Sipes (Digestive Disease Basic Research Development Center DK06388, Johns Hopkins University) for technical support in animal studies; and Drs. Go Watanabe and Atsushi Itami (Kyoto University) for providing clinical samples.
| Footnotes |
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5 Available at http://rsb.info.nih.gov/ij/index.html. ![]()
6 http://www.ncbi.nlm.nih.gov/geo ![]()
Received 8/ 7/07. Revised 2/18/08. Accepted 3/ 5/08.
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S. Yan, C. Zhou, X. Lou, Z. Xiao, H. Zhu, Q. Wang, Y. Wang, N. Lu, S. He, Q. Zhan, et al. PTTG Overexpression Promotes Lymph Node Metastasis in Human Esophageal Squamous Cell Carcinoma Cancer Res., April 15, 2009; 69(8): 3283 - 3290. [Abstract] [Full Text] [PDF] |
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