|Year : 2018 | Volume
| Issue : 23 | Page : 2827-2835
Effect of Upregulated DNA Replication and Sister Chromatid Cohesion 1 Expression on Proliferation and Prognosis in Hepatocellular Carcinoma
Xing-Wang Xie1, Xue-Yan Wang2, Wei-Jia Liao3, Ran Fei2, Xu Cong2, Qian Chen3, Lai Wei2, Hong-Song Chen2, Yu Wang1
1 Chinese Center for Disease Control and Prevention, Beijing 102206, China
2 Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Peking University People's Hospital, Beijing 100044, China
3 Laboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001, China
|Date of Submission||27-Aug-2018|
|Date of Web Publication||23-Nov-2018|
Prof. Yu Wang
Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing 102206
Source of Support: None, Conflict of Interest: None
Background: DNA replication and sister chromatid cohesion 1 (DSCC1) (also called DCC1) is a component of an alternative replication factor C complex that loads proliferating cell nuclear antigen onto DNA during S phase of the cell cycle. It is located at 8q24 and frequently amplified in hepatocellular carcinoma (HCC). However, the role of DSCC1 in the carcinogenesis and progress of HCC has not been fully investigated. Here, we aimed to assert the importance of DSCC1 in the HCC.
Methods: In this study, copy number variation data and RNA sequencing data were used to calculate the DNA copy number and mRNA expression of DSCC1 in HCC. Quantitative polymerase chain reaction, Western blotting, and immunohistochemistry analysis were used to determine the mRNA and protein level of DSCC1 in HCC. The Kaplan–Meier analysis and univariate and multivariate Cox regression analysis were used to assess the association of DSCC1 with the overall survival (OS) of HCC patients. Moreover, lentiviral shRNA was used to knockdown DSCC1, and then, colony-forming assay, cell cycle assay, and cell proliferation assay were performed to evaluate the impact of DSCC1 silencing on HCC cell lines.
Results: We found that DSCC1 was amplified and highly expressed in HCC tumor tissues than in nontumor tissues. We then found that the overexpression of both mRNA and protein of DSCC1 was linked to the bad prognosis of HCC patients. Astonishingly, the protein level of DSCC1 was an independent prognostic factor for OS (hazard ratio, 1.79; 95% confidence interval, 1.17–2.74; P = 0.007). Furthermore, the clonogenic capacity of DSCC1-amplified HCC cell lines (MHCC-97H, MHCC-97L, and Hep3B) was significantly inhibited by transduction of a lentiviral shRNA that targets DSCC1. We also showed that knockdown of DSCC1 induced G0–G1 cell cycle arrest (increased from 60% to more than 80%) and greatly inhibited the proliferation of HCC cell lines.
Conclusion: These results suggest that DSCC1 is a putative HCC driver gene that promotes proliferation and is associated with poor prognosis in HCC.
Keywords: Cell Cycle; Cell Proliferation; DNA Replication and Sister Chromatid Cohesion 1; Hepatocellular Carcinoma
|How to cite this article:|
Xie XW, Wang XY, Liao WJ, Fei R, Cong X, Chen Q, Wei L, Chen HS, Wang Y. Effect of Upregulated DNA Replication and Sister Chromatid Cohesion 1 Expression on Proliferation and Prognosis in Hepatocellular Carcinoma. Chin Med J 2018;131:2827-35
|How to cite this URL:|
Xie XW, Wang XY, Liao WJ, Fei R, Cong X, Chen Q, Wei L, Chen HS, Wang Y. Effect of Upregulated DNA Replication and Sister Chromatid Cohesion 1 Expression on Proliferation and Prognosis in Hepatocellular Carcinoma. Chin Med J [serial online] 2018 [cited 2018 Dec 9];131:2827-35. Available from: http://www.cmj.org/text.asp?2018/131/23/2827/246076
Xing-Wang Xie now works at Peking University People's Hospital, China.
| Introduction|| |
Although considerable progress has been made in the diagnosis and treatment of hepatocellular carcinoma (HCC) over the last decade, advanced-stage HCC in most patients still progresses to metastasis and leads to a poor prognosis. Hence, it is of critical importance to explore the genomic events that occur in HCC, with the prime goals of understanding the genetic basis of the disease and identifying new therapeutic targets.
The human chromosome 8q24 locus contains a famous oncogene, MYC, and is amplified in nearly half of HCC patients.,, DNA replication and sister chromatid cohesion 1 (DSCC1, also known as DCC1), which locates in 8q24, is one of the components of an alternative clamp loader/unloader Ctf18-Dcc1-Ctf8-replication factor C (Ctf18-RFC) complex.,,, This protein complex plays important roles in sister chromatid cohesion, DNA replication, spindle checkpoints, DNA repair, and genome stability during the S phase of the cell cycle.,,,,, The most recent studies revealed that DSCC1 and Ctf18-RFC complex also play a key role in the cell cycle checkpoint control. The C-terminal of DSCC1 is required for full recruitment of the complex to chromatin and correct activation of the replication checkpoint. The association of Ctf18-RFC with Pol ε at defective replication forks is a key step in activation of the S-phase checkpoint.
As deregulation of cell cycle checkpoint control represents a common cause in cancers, we would like to know the role of DSCC1 and Ctf18-RFC complex in cancer. Several publications have reported that RFC family members may play important roles in various malignant tumors. Moreover, a recent study has identified that DSCC1 has anti-apoptotic properties in colorectal cancer cells and promotes the survival of cancer cells in response to genotoxic stimuli. However, the expression pattern and role of DSCC1 in HCC have not yet been determined. In this study, we aimed to determine the expression pattern and the importance of DSCC1 in HCC.
| Methods|| |
Copy number profiling and RNA sequencing data
Copy number variation (CNV) data and RNA sequencing (RNA-seq) data of liver hepatocellular carcinoma (LIHC) in The Cancer Genome Atlas (TCGA) project (http://cancergenome.nih.gov) were obtained from the UCSC cancer browser (https://genome-cancer.ucsc.edu/). The CNV profiling was performed using an Affymetrix Genome-Wide Human SNP Array 6.0 platform, and the RNA-seq was performed using an Illumina HiSeq 2000 RNA-seq platform. The CNV data of HCC cell lines were obtained from the Gene Expression Omnibus database (GSE38207). The copy number segmentation data of GSE38207 were kindly provided by the author and displayed using an Integrative Genomics Viewer (IGV2.3.52).
The study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of Guilin Medical University (No. 2011GMA031). Informed written consent was obtained from all patients before their enrollment in this study.
Tissue samples and cell lines
All HCC cancer tissues and adjacent noncancerous tissues were obtained from patients who underwent surgery at the affiliated hospital of Guilin Medical University. The human HCC cell lines, i.e., MHCC-97H, MHCC-97L, Hep3B, Huh7, HepG2, SK-HEP-1, and PLC/PRF/5 were purchased from the Cell Bank of Type Culture Collection of the Chinese Academy of Sciences (Shanghai, China). All cells were maintained in Dulbecco's modified Eagle medium (DMEM) supplemented with 10% fetal bovine serum (Life Technologies, Carlsbad, CA, USA).
Quantitative real-time polymerase chain reaction
In order to validate the DSCC1 overexpression in HCC, quantitative real-time polymerase chain reaction (QRT-PCR) was used to measure the DSCC1 mRNA levels in an independent HCC cohort (Guilin cohort). Then, the expression level of DSCC1 mRNA was analyzed in seven HCC cell lines (MHCC-97H, MHCC-97L, Hep3B, Huh7, HepG2, PLC/PRF/5, and SK-HEP-1) using QRT-PCR analysis. Total RNA was extracted using TRIzol Reagent (Invitrogen, Carlsbad, USA), and cDNA synthesis was performed using High-Capacity cDNA Reverse Transcription Kits (Applied Biosystems, USA) according to the manufacturer's instructions. QRT-PCR amplification was performed on a LightCycler 480 instrument using LightCycler 480 SYBR Green I Master Mix (Roche Diagnostics Ltd., Mannheim, Germany). The thermal profile consisted of 1 cycle at 95°C for 10 min followed by 45 cycles of 15-s denaturation at 95°C, 15-s annealing at 55°C, and 15-s extension at 72°C. The sequences of the primers used were as follows: DSCC1, 5'-AAAGTTCCTTTGAACACATGCCT-3' and 5'-CGCATTCTGAAGTAGCATTCGT-3', and GAPDH, 5'-CCACATCGCTCAGACACCAT-3' and 5'-GGCAACAATATCCACTTTACCAGAGT-3'. Relative DSCC1 mRNA expression was calculated by normalization to the mRNA expression level of GAPDH.
Western blotting analysis
We then performed Western blotting analysis to further determine the protein level of DSCC1 in HCC and adjacent nontumor tissues. Fifteen pairs of tumor tissues and corresponding adjacent nontumor tissues of HCC patients in Guilin cohort were included in Western blotting analysis. Frozen tissue samples were homogenized and lysed in RIPA lysis buffer containing a 1× protease inhibitor cocktail (Thermo Scientific, USA). Protein concentrations were determined using a Pierce™ BCA Protein Assay Kit (Thermo Scientific, USA); 20-μg protein was denatured and separated in a NuPAGE Novex 10% Bis-Tris Gel (Invitrogen Life Technologies, Carlsbad, CA, USA) and then transferred to nitrocellulose membranes using iBlot Dry Blotting System (Invitrogen, Carlsbad, USA). After membrane was blocked in 5% milk for 1 h at room temperature, it was incubated with an anti-DSCC1 antibody (Abnova) at 4°C overnight. An horseradish peroxidase (HRP)-conjugated goat anti-mouse antibody (Santa Cruz Biotechnology, CA, USA) served as the secondary antibody, with which membranes were incubated for 1 h at room temperature. Immunostaining intensity was detected using a Western Lightning® Plus-ECL (PerkinElmer, Boston, MA, USA) and visualized on X-ray film.
To further determine the protein expression pattern and the location of DSCC1 in HCC, we performed immunohistochemistry (IHC) analysis of DSCC1 with HCC tissue microarray (TMA) containing tumor section and nontumor section of 144 patients from Guilin cohort. Paraffin-embedded tissue slides and TMA slides were deparaffinized with Histoclear and hydrated in graded ethanols and were heated in ethylenediaminetetraacetic acid buffer (pH 9.0) at 95°C for 25 min for antigen retrieval. Nonspecific signal was blocked by hydrogen peroxide block for 10 min at room temperature, followed by blocking with 5% bovine serum albumin for 30 min at room temperature. Mouse anti-human DSCC1 antibody (Abnova, Taiwan, China) at a working dilution of 1:50 was incubated at 4°C overnight, followed by HRP-conjugated secondary antibody incubation for 30 min at room temperature. Then, 3, 3'-diaminobenzidine reaction was used to reveal antibody binding with EnVision detection system (Dako, Denmark). Sections were then counterstained with hematoxylin, dehydrated in graded ethanols, and mounted. Negative controls were performed for each run of IHC. DSCC1 expression was scored by two pathologists independently according to the percentage of tumor cells with nuclear staining (0, <5% of tumor cells stained positive; 1, 5–30% of tumor cells stained positive; 2, 31–50% of tumor cells stained positive; 3, 51–80% of tumor cells stained positive; and 4, >80% of tumor cells stained positive).
Gene knockdown using shRNA
We then constructed DSCC1-specific lentiviral shRNAs to effectively silence the expression of DSCC1. Three DSCC1-specific shRNAs (DSK1: CCATGAAATTGGCTGAATAAT, DSK2: GAAGAAGATATTGCTCCATAT, and DSK3: GAAGACGTAGACCCAAGTTAA) and a nonsilencing control shRNA (NS: CTGAGGTGATAAACAGTTACA) were cloned into a lentiviral shRNA expression vector (HIV-H1; GeneCopoeia, USA) that contained a H1-driving shRNA expression cassette and a GFP reporter gene. Lentiviruses were produced by transient cotransfection of the shRNA plasmids and the packing helper plasmids, i.e., pLP1, pLP2, and pVSV-G into 293T cells. Viral supernatants were harvested after 48 or 72 h posttransfection and then filtered through a 0.45-μm filter. Viral supernatants were then concentrated by centrifugation in protein purification tubes (PALL, USA) at 4500 ×g for 60 min. The infectious titers of the purified viruses were determined using fluorescence-activated cell-sorting analysis of GFP-positive 293T cells. The viral titers were in the range of 109 transducing units/ml medium. The HCC cell lines were transduced with shRNA lentiviruses in an optimal multiplicity of infection in the presence of 4 μg/ml polybrene. Infected cells were quickly selected using puromycin for 3–5 days before use. The silencing efficiency of DSCC1 was assessed using real-time PCR.
Colony-forming assay was used to determine the impact of DSCC1 expression silencing on HCC clonogenic ability using lentiviral shRNA-transduced HCC cell lines. Cells were trypsinized, and the number of total and dead cells was counted manually in the presence of trypan blue. A total of 103 viable cells were placed in one well of a six-well plate and incubated for a minimum of 14 days. The DMEM growth medium was changed every 3rd day. The medium was removed and, following a rinse with phosphate-buffered saline (PBS), the cells were fixed to the plate using 1% paraformaldehyde in PBS for 15 min. The colonies were stained for 1 h with a solution of 1% crystal violet followed by several washes with ddH2O. Stained colonies that contained more than 25 cells were counted.
Cell cycle analysis
Since DSCC1 plays important roles in insister chromatid cohesion, DNA replication, and cell cycle, we performed cell cycle analysis with 5-bromo-2'-deoxyuridine (BrdU) flow cytometry kit to determine the impact of DSCC1 silencing on cell cycle transition in HCC cell lines. For cell cycle analysis, the BrdU flow cytometry kit for cell cycle analysis (BD Biosciences, USA) was used according to manufacturer's instructions. BrdU incorporation (FITC-labeled anti-BrdU antibodies) was measured along with DNA content (using 7-AAD) in fixed and permeabilized cells. The analysis was gated on viable cells that were identified based on scatter morphology.
Cell proliferation assay
To determine the effect of DSCC1 knocking down on the proliferation of HCC cells, we performed MTS assay to measure the growth rate of MHCC-97H and Hep3B cells transduced with lentiviral DSCC1 shRNAs or control shRNA. Cell proliferation was evaluated by MTS assay using the CellTiter 96 Aqueous One Solution Cell Proliferation Assay Kit (Promega, USA) according to the manufacturer's instructions. Briefly, 5000 cells/well were seeded in a 96-well plate after transduced with lentiviral shRNA for 12 wells for each shRNA-transduced group. At 1, 2, 4, and 7 days after seeding, 20 μl of CellTiter 96 Aqueous One Solution was added to each well, and the plate was incubated for 1–4 h. Plates were read at 490 nm and 650 nm (background) in a microplate reader (Molecular Devices, USA). After subtraction of background, the relative cell number was calculated.
The t-test was used to compare continuous variables between two groups. One-way analysis of variance was used to test the equality of means between three or more groups simultaneously. The correlation significance between DSCC1 copy number and mRNA expression level was determined by Pearson correlation analysis. The Chi-square test was used to examine the association between DSCC1 gene expression level and clinicopathological parameters. The Kaplan–Meier method followed by the log-rank test was used for survival analysis in both TCGA LIHC cohort and Guilin cohort. In order to determine the prognostic value of DSCC1 protein expression in HCC, we performed univariate and multivariate Cox regression analysis of prognosis factors, including DSCC1 expression, among patients in the Guilin cohort. Univariate and multivariate Cox proportional-hazards regression model was performed to identify factors having a significant impact on overall survival (OS). Statistical analyses were performed using GraphPad Prism 7.0 (GraphPad Software, La Jolla, CA, USA) and R Statistical Software (Foundation for Statistical Computing, Vienna, Austria), a free software environment for statistical computing and graphics. All data are representative of at least three independent experiments. A two-sided P < 0.05 was considered to indicate statistical significance for all analyses.
| Results|| |
DNA replication and sister chromatid cohesion 1 is frequently amplified and overexpressed in hepatocellular carcinoma tumors and cell lines
The 8q24 locus is frequently amplified in HCC patients, and it harbors a famous oncogene, MYC, which has been shown to be involved in both carcinogenesis and development of HCC. We noticed that the locus of another gene, DSCC1, has a minimum 1.5-fold increase in copy number in 32% (115/364) of HCC patients when compared to nontumors by analyzing the LIHC CNV data from the TCGA [Figure 1]a.
|Figure 1: Amplification and overexpression of DSCC1 in HCC. (a) The copy number of DSCC1 DNA locus in HCC tissues and HCC cell lines that determined by SNP genotyping data from TCGA and GEO. (b) The mRNA expression data (log2 (x + 1) transform of TPM value) of DSCC1 in HCC tissues determined by analyzing RNA-seq data from TCGA LIHC dataset. (c) The correlation of DNA copy number and mRNA expression of DSCC1 in HCC patients from TCGA LIHC dataset. (d) The correlation between DSCC1 mRNA expression level and the OST of HCC patients in TCGA LIHC dataset (*P < 0.001). GEO: Gene Expression Omnibus; OST: Overall survival time; DSCC1: DNA replication and sister chromatid cohesion 1; HCC: Hepatocellular carcinoma; TCGA: The Cancer Genome Atlas; RNA-seq: RNA sequencing.|
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While the normal liver and bile ducts expressed the lowest levels of DSCC1 mRNA among all 14 normal tissues (liver, bile ducts, pancreas, colon, rectum, lung, breast, cervix, endometrium, bladder, kidney, prostate, thyroid, and brain), the mRNA level of DSCC1 was dramatically highly expressed in HCC tumor tissues than in normal liver tissues according to the RNA-seq data in the TCGA project [Figure 1]b. We also found that the mRNA level of DSCC1 was significantly associated with its DNA copy number (r = 0.327, R2 = 0.107, P < 0.001), which suggested that the overexpression of DSCC1 in HCC was partially attributed to copy number gain [Figure 1]c.
Remarkably, we found that the mRNA expression level of DSCC1 significantly correlated with the prognosis of HCC patients in TCGA LIHC dataset. Patients with higher DSCC1 mRNA expression level tend to have a shorter OS time (χ2 = 19.29, P < 0.001) [Figure 1]d. QRT-PCR analysis of the DSCC1 mRNA levels in an independent HCC cohort (Guilin cohort) showed that the relative expression level of DSCC1 mRNA was significantly higher in tumor tissues than in nontumor adjacent tissues, which is consistent with the LIHC RNA-seq data in TCGA [Figure 2]a.
|Figure 2: DSCC1 overexpressed in HCC and linked to prognosis. (a) The mRNA level of DSCC1 in HCC tissues and adjacent normal tissues determined by QRT-PCR analysis. (b) DSCC1 protein expression in HCC tissues determined by Western blotting analysis (T: Tumor tissue; N: Nontumor tissue). (c and d) The expression of DSCC1 protein determined by IHC analysis and its correlation with OST of HCC patients (IHC, ×100 [left] and ×400 [right]). IHC: Immunohistochemistry; OST: Overall survival time; DSCC1: DNA replication and sister chromatid cohesion 1; HCC: Hepatocellular carcinoma; QRT-PCR: Quantitative real-time polymerase chain reaction.|
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Western blotting analysis of DSCC1 protein in HCC and adjacent nontumor tissues showed that DSCC1 protein was detected in nearly half of tumor tissues (7 of 15) but in none of these nontumor tissues [Figure 2]b. Both QRT-PCR and Western blotting results support that DSCC1 had an undetectable level in normal liver tissue but was dramatically overexpressed in HCC tumors.
We also found that nuclear DSCC1 staining presented in 27% (39/144) of the analyzed HCC patients by IHC analysis of DSCC1 with HCC TMA containing tumor section and nontumor section of 144 patients from Guilin cohort, and its staining had no correlation with clinicopathological parameters of these patients [Figure 2]c and [Table 1]. But, a Kaplan-Meier analysis showed that positive staining of DSCC1 in HCC primary tissue was significantly linked to shorter OS time of HCC patient [Figure 2]d.
|Table 1: Clinical characteristics of patients with HCC included in analyses of DSCC1 expression by IHC|
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Furthermore, a univariate analysis showed that DSCC1 staining, along with age, tumor size, tumor, node, and metastasis stage, multinodularity, venous infiltration, and metastasis, was associated with OS [Table 2]. However, none of these factors were associated with recurrent-free survival (data not shown). The limited number of the cases with available recurrent-free survival data may account for this negative result. In the following multivariate Cox regression analysis, the protein level of DSCC1 was an independent prognostic factor for OS (hazard ratio for death, 1.79; 95% confidence interval, 1.17–2.74; P = 0.007) [Table 3]. All these data presented above suggested that the overexpression of DSCC1 might be involved in HCC development.
|Table 2: Univariate Cox regression analysis of prognostic factors for OS in HCC patients|
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|Table 3: Multivariate Cox regression analysis of prognostic factors for OS in HCC patients|
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DNA replication and sister chromatid cohesion 1 oncogene dependency in human hepatocellular carcinoma cell lines
We have found that the overexpression of both DSCC1 mRNA and protein was linked to the bad prognosis in HCC. We then sought to determine whether DSCC1 is functionally involved in the development of HCC. We first found that all of the seven analyzed cell lines (MHCC-97H, MHCC-97L, Hep3B, Huh7, HepG2, PLC/PRF/5, and SK-HEP-1) had detectable DSCC1 mRNA level. MHCC-97H had the highest DSCC1 mRNA level and SK-HEP-1 had the lowest level [Figure 3]a.
|Figure 3: DSCC1 oncogene dependency in human HCC cell lines. (a) The DSCC1 mRNA level determined by real-time PCR in HCC cell lines. (b) Western blotting analysis of DSCC1 protein after it was knockdown by shRNA silencing. (c and d) The clone-forming assay of cell lines after DSCC1 silencing. Clonogenic assay of MHCC-97H, MHCC-97L, SK-HEP-1, and HepG2 infected with lentiviral shRNAs against nonsilencing control and DSCC1 (DSK1 and DSK2) (c) and the quantification of clonogenic assay of seven HCC cell lines from three independent experiments (d) (*P < 0.001). DSCC1: DNA replication and sister chromatid cohesion 1; HCC: Hepatocellular carcinoma; PCR: Polymerase chain reaction.|
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Among these HCC cell lines, seven out of eight cell lines have detectable DSCC1 mRNA level. MHCC-97H has the highest DSCC1 mRNA level and SK-HEP-1 has the lowest level [Figure 3]a.
We then constructed DSCC1-specific lentiviral shRNAs and got two shRNAs, DSK1 and DSK2, which could effectively silence the expression of DSCC1. We found that endogenous DSCC1 expression in HCC cell lines could be significantly knocked down after transduction of lentiviral DSK1 and DSK2 [Figure 3]b. We then found that MHCC-97H and MHCC-97L showed oncogene dependence on DSCC1 expression by performing colony-forming assay to determine the HCC clonogenic ability after lentiviral shRNA transducing. The clone number of these two cells significantly dropped after DSCC1 knocking down. However, the clone number of HepG2 and SK-HEP-1 largely remained unchanged after DSCC1 knocking down [Figure 3]c and [Figure 3]d.
Interestingly, the oncogene dependency of HCC cell lines on DSCC1 expression perfectly matched the copy number status of these cell lines on the DSCC1 locus. Cell lines with DSCC1 locus amplification, MHCC-97H and MHCC-97L, showed oncogene dependency on DSCC1 expression, while cell lines without DSCC1 amplification, HepG2 and SK-HEP-1, can still maintain colony growth ability when the DSCC1 expression was silenced [Figure 1]a, [Figure 3]c, and [Figure 3]d.
DNA replication and sister chromatid cohesion 1 knocking down induced cell cycle arrest and inhibited proliferation
We found that, after knocking down of DSCC1, the percentage of cells in the G0/G1 phase increased significantly from nearly 60% to more than 80%, while the percentage of S-phase cells and G2/M-phase cells both decreased to half of the level in the control group [Figure 4]a and [Figure 4]b. This finding indicates that cell cycle distribution was blocked significantly in the G0/G1 phase when knocking down of DSCC1 in both MHCC-97H and Hep3B cells.
|Figure 4: Effect of DSCC1 knockdown on cell cycle kinetics. (a and b) Cell cycle distribution was analyzed by flow cytometry with FITC-conjugated anti-BrdU and 7-AAD staining after lentiviral shRNA transduction (a) and the numerical analysis was performed for each experiment (b). Results are the mean ± SD in three independent experiments. (c) Equivalent number of NS, DSK1, and DSK2 lentiviral transduced cells was plated in 96-well plates, and cell proliferation assays were performed at the indicated time points with MTS assay (*P < 0.01, †P < 0.001, ‡P < 0.0001). DSCC1: DNA replication and sister chromatid cohesion 1; SD: Standard deviation.|
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MHCC-97H and Hep3B cells transduced with lentiviral DSCC1 shRNAs or control shRNA were subjected to MTS assay. Compared with the control shRNA-transduced cells, the cell density of the groups treated with DSK1 and DSK2 increased significantly slower in both MHCC-97H and Hep3B cells, which indicates that DSCC1 knocking down inhibits the growth of HCC cells [Figure 4]c.
| Discussion|| |
In this study, we found that the DSCC1 DNA locus is commonly amplified and the DSCC1 mRNA and protein are overexpressed in HCC. However, the CNV status is only partially involved in overexpressing DSCC1 mRNA in HCC. Only a weak connection between the mRNA level and the copy number of the DSCC1 coding gene was found in HCC tissue. The CNV and mRNA expression pattern of DSCC1 in HCC cell lines also supported this finding. Six of seven HCC cell lines contain overexpressed DSCC1, but only three of them harbor DSCC1 amplifications.
We also found the overexpression of both DSCC1 mRNA and protein is associated with the bad prognosis of HCC, which indicates that DSCC1 overexpression may play a role in HCC development. We then proved that some HCC cell lines exhibit oncogene dependence on DSCC1. The clonogenic ability of these cells was dramatically inhibited when DSCC1 was silenced using lentiviral shRNAs. Despite the limited contribution of CNV status to DSCC1 overexpression in HCC, it appears that CNV status does have a vital impact on the oncogene dependence of HCC cells on DSCC1. Cell lines with amplified DSCC1 locus are dramatically affected in clonogenic assay by DSCC1 silencing, while cell lines without DSCC1 amplification maintain normal clonogenic ability after DSCC1 silencing. These data suggested that DSCC1 is amplified and overexpressed in HCC and is required for clonogenicity of HCC cell lines.
Moreover, we showed that knockdown of DSCC1 induced cell cycle arrest and inhibited proliferation in HCC cell lines. Cell cycle distribution in HCC cells was blocked significantly in the G0/G1 phase when knocking down of DSCC1. At the meantime, cell growth of HCC cell lines was also greatly inhibited after DSCC1 silencing. We already know that DSCC1 is a component of the Ctf18-RFC complex and participates in DNA repair, mitosis, and cell cycle regulation.,,,,,,,, We also know that DSCC1 has anti-apoptotic properties and involved in the development of colorectal cancer. Taken together previous knowledge and findings in this study, we could conclude that DSCC1 overexpression probably promotes the cell cycle transition and cell division and consequently promotes cell growth in HCC.
With the development of high-throughput genomic technologies, the number of cancer genomic resources is growing at an unprecedented pace. For example, TCGA (http://cancergenome.nih.gov/) project generates comprehensive genome-wide datasets that include data for CNV, somatic mutations, DNA methylation status, gene and exon expression, protein expression, pathway inference, and phenotypes. Taking full advantage of these data, like what we do in this study, could help us to get better understanding of the molecular mechanism of HCC and identify possible treatment targets.
However, several limitations of this study should be noted. First, a limited number of cases were enrolled in this study, which diminished the statistical power of the results. Second, the exact mechanism of how DSCC1 regulated cell cycle and proliferation was not explored. Moreover, if DSCC1 could promote HCC development through some other pathways, such as apoptosis or autophagy, that should also be conducted in further studies.
In conclusion, this study successfully identified and validated DSCC1 as a putative HCC driver gene, and extensive studies should be conducted in the future to investigate the role of PPPDE1 in HCC.
We thank Dr. Hui-Xin Liu for statistic support.
Financial support and sponsorship
This work was supported by grants from the National Natural Science Foundation of China (No. 81201569 and No. 81541151), the Beijing Natural Science Foundation (No. 7132186), and the National Key Sci-Tech Special Project of China (No. 2018ZX10302207 and No. 2017ZX10203202).
Conflicts of interest
There are no conflicts of interest.
| References|| |
Lee JS, Chu IS, Heo J, Calvisi DF, Sun Z, Roskams T, et al.
Classification and prediction of survival in hepatocellular carcinoma by gene expression profiling. Hepatology 2004;40:667-76. doi: 10.1002/hep.20375.
Shachaf CM, Kopelman AM, Arvanitis C, Karlsson A, Beer S, Mandl S, et al.
MYC inactivation uncovers pluripotent differentiation and tumour dormancy in hepatocellular cancer. Nature 2004;431:1112-7. doi: 10.1038/nature03043.
Wang K, Lim HY, Shi S, Lee J, Deng S, Xie T, et al.
Genomic landscape of copy number aberrations enables the identification of oncogenic drivers in hepatocellular carcinoma. Hepatology 2013;58:706-17. doi: 10.1002/hep.26402.
Bermudez VP, Maniwa Y, Tappin I, Ozato K, Yokomori K, Hurwitz J, et al.
The alternative ctf18-dcc1-ctf8-replication factor C complex required for sister chromatid cohesion loads proliferating cell nuclear antigen onto DNA. Proc Natl Acad Sci U S A 2003;100:10237-42. doi: 10.1073/pnas.1434308100.
Merkle CJ, Karnitz LM, Henry-Sánchez JT, Chen J. Cloning and characterization of hCTF18, hCTF8, and hDCC1. Human homologs of a saccharomyces cerevisiae complex involved in sister chromatid cohesion establishment. J Biol Chem 2003;278:30051-6. doi: 10.1074/jbc.M211591200.
Grabarczyk DB, Silkenat S, Kisker C. Structural basis for the recruitment of ctf18-RFC to the replisome. Structure 2018;26:137-144.e133. doi: 10.1016/j.str.2017.11.004.
Pellegrini L. Dual roles of ctf18-RFC: Loading the clamp and angling for the polymerase. Structure 2018;26:1-2. doi: 10.1016/j.str.2017.12.009.
Gellon L, Razidlo DF, Gleeson O, Verra L, Schulz D, Lahue RS, et al.
New functions of ctf18-RFC in preserving genome stability outside its role in sister chromatid cohesion. PLoS Genet 2011;7:e1001298. doi: 10.1371/journal.pgen.1001298.
Skibbens RV. Unzipped and loaded: The role of DNA helicases and RFC clamp-loading complexes in sister chromatid cohesion. J Cell Biol 2005;169:841-6. doi: 10.1083/jcb.200503129.
Ström L, Karlsson C, Lindroos HB, Wedahl S, Katou Y, Shirahige K, et al.
Postreplicative formation of cohesion is required for repair and induced by a single DNA break. Science 2007;317:242-5. doi: 10.1126/science.1140649.
Unal E, Heidinger-Pauli JM, Koshland D. DNA double-strand breaks trigger genome-wide sister-chromatid cohesion through eco1 (Ctf7). Science 2007;317:245-8. doi: 10.1126/science.1140637.
Okimoto H, Tanaka S, Araki H, Ohashi E, Tsurimoto T. Conserved interaction of ctf18-RFC with DNA polymerase ε is critical for maintenance of genome stability in saccharomyces cerevisiae. Genes Cells 2016;21:482-91. doi: 10.1111/gtc.12356.
Mayer ML, Gygi SP, Aebersold R, Hieter P. Identification of RFC (Ctf18p, ctf8p, dcc1p): An alternative RFC complex required for sister chromatid cohesion in S. Cerevisiae. Mol Cell 2001;7:959-70. doi: 10.1016/s1097-2765(01)00254-4.
Wade BO, Liu HW, Samora CP, Uhlmann F, Singleton MR. Structural studies of RFC Ctf18 reveal a novel chromatin recruitment role for dcc1. EMBO Rep 2017;18:558-68. doi: 10.15252/embr.201642825.
García-Rodríguez LJ, De Piccoli G, Marchesi V, Jones RC, Edmondson RD, Labib K, et al.
Aconserved polϵ binding module in ctf18-RFC is required for S-phase checkpoint activation downstream of mec1. Nucleic Acids Res 2015;43:8830-8. doi: 10.1093/nar/gkv799.
Li Y, Gan S, Ren L, Yuan L, Liu J, Wang W, et al
. Multifaceted regulation and functions of replication factor C family in human cancers. Am J Cancer Res 2018;8:1343-55.
Yamaguchi K, Yamaguchi R, Takahashi N, Ikenoue T, Fujii T, Shinozaki M, et al.
Overexpression of cohesion establishment factor DSCC1 through E2F in colorectal cancer. PLoS One 2014;9:e85750. doi: 10.1371/journal.pone.0085750.
Robinson JT, Thorvaldsdóttir H, Winckler W, Guttman M, Lander ES, Getz G, et al.
Integrative genomics viewer. Nat Biotechnol 2011;29:24-6. doi: 10.1038/nbt.1754.
R Development Core Team. R: A language and environment for statistical computing. In: Foundation for Statistical Computing. Vienna, Austria: R Development Core Team; 2013. Available from: http://www.R-project.org/
. [Last accessed on 2018 Aug 20].
[Figure 1], [Figure 2], [Figure 3], [Figure 4]
[Table 1], [Table 2], [Table 3]