RNAi-mediated downregulation of DNA binding protein A inhibits tumorigenesis in colorectal cancer
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- Published online on: July 4, 2016 https://doi.org/10.3892/ijmm.2016.2662
- Pages: 703-712
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Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Colorectal cancer (CRC) is among the most common malignancies and is becoming a leading cause of cancer-related mortality worldwide (1). Although the efficacy of multiple drug treatments, surgical treatments and chemotherapy have extensively improved (2), CRC is still considered as a complex and difficult disease to deal with (3). In recent years, studies have focused on specific molecular targets, such as epidermal growth factor receptor (EGFR) and vascular endothelial growth factor (VEGF) to predict the progression of CRC (4,5). However, due to the heterogeneous characteristics of CRC, there is still controversy regarding the optimal treatment strategy for CRC. Thus, in order to develop more effective targeting agents against CRC, the identification of novel molecules is urgently required (6).
Human DNA binding protein A (dbpA), a member of the Y-box binding protein family, contains a highly conserved DNA binding domain, named the cold shock domain (CSD) (7,8). This family of proteins appears to play a critical role in cell proliferation and growth, transcriptional and translational regulation, DNA replication, drug resistance, the cell cycle and malignancy (9,10). dbpA can bind to EGFR, proliferating cell nuclear antigen, thymidine kinase and DNA polymerase (11,12) to participate in cellular activities. Previously, Tobita et al suggested that dbpA induced carcinogenesis by regulating the expression of cellular genes, such as insulin-like growth factor binding protein-1 (IGFBP-1) and carbonic anhydrase 3 (Car3) in dbpA-transgenic mice (13). Furthermore, dbpA has been reported as a prognostic marker for the advanced stages of and for the poor prognosis of hepatocellular carcinoma by enhancing cell proliferation and transformation (14,15). Our previous study demonstrated that dbpA played a crucial role in the development of gastric cancer by regulating the expression of E-cadherin, β-catinen, adenomatous polyposis coli (APC) and cyclin D1 (16). These findings indicate the significance of dbpA in the development of malignant diseases.
In the present study, to illustrate the role of dbpA in CRC, the expression of dbpA in CRC tissues and cell lines was examined. The effects of dbpA on CRC cells were investigated by lentivirus-mediated short haripin RNA (shRNA) interference both in vitro and in vivo. Our findings indicate that dbpA is a vital driver of human CRC and that the knockdown of dbpA markedly reduces cell proliferation in vitro and decreases tumorigenesis in vivo. Our study may provide scientific evidence for the further development of reliable molecular biomarkers for CRC.
Materials and methods
Clinical specimen collection
Fresh colorectal tumor and adjacent normal tissues were obtained from 44 patients who received surgery from May 2012 to July 2014 at the Department of General Surgery, the Third Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. We only collected the clinical data of patients that were complete and from patients who had not received any radiotherapy or chemotherapy prior to surgery. All specimens were classified according to the TNM staging system enacted by International Union Against Cancer (UICC) and American Joint Committee on Cancer (AJCC). The correlations between dbpA expression and clinicopathological parameters in CRC were analyzed by Pearson's Chi-square test. Written informed consent was obtained from all the patients, and this study was approved by the Human Ethics Committee of the Third Affiliated Hospital of Xi'an Jiaotong University and all experiments were performed in accordance with the 1964 Helsinki declaration and its later amendments.
Immunohistochemical (IHC) staining
The colorectal tissues obtained from patients were fixed immediately with 4% paraformaldehyde overnight at 4°C, and were then embedded in paraffin and sectioned (4-µm-thick) onto slides. The sections were baked at 60°C for 2 h, deparaffinized by two changes of xylene, and rehydrated in graded alcohol solutions. For antigen retrieval, the sections were heated in 20 mmol/l sodium citrate (pH 6.0) at 95°C for 15 min. The slides were treated then with 3% H2O2 to block endogenous peroxidase activity. Subsequently, the slides were incubated overnight at 4°C with the rabbit polyclonal anti-dbpA antibody (ab48952; Boster Biological Technology, Ltd., Wuhan, China) at a 1:500 dilutions. Subsequently, the sections were incubated with HRP polymer (1:500; ab6721; Boster Biological Technology, Ltd.) for 30 min at room temperature and DAB mix (Tiangen Biotechnology, Beijing, China) was applied for staining. Two independent pathologists blinded to the patient data evaluated the scores of the IHC results. The scoring criteria was based on the percentage of dpbA-positive cells in the tumor tissue as follows: − (<10%) was considered as no staining; + (11–40%) was considered weak staining; ++ (41–70%) was considered moderate staining; and +++ (71–100%) was considered strong staining. If a discrepancy was exited between the scores, the specimens would be re-examined by both researchers together.
Cell lines and cell culture
The human CRC cell lines, LoVo, SW480, RKO, HT-29, DLD-1, SW1463 and SW620, were obtained from the First Affiliated Hospital of the Medical College of Xi'an Jiaotong University. The normal colorectal mucosa cell line, FHC, and the 293T cell line were purchased from the Animal Center of the Fourth Military Medical University, Xi'an, China. All the cells were cultured in Dulbecco's modified Eagle's medium (DMEM) supplemented with 10% fetal bovine serum (FBS) at 37°C with 5% CO2.
dbpA RNAi lentivirus design and packaging
The shRNA sequences were designed for dbpA as follows: sense, 5′-AGACGUGGCUACUAUGGAATT-3′ and antisense, 5′-UUCCAUAGUAGCCACGUCUGT-3′ in accordance with our previous study (16). The negative control shRNA were randomly sequenced and homology with the dbpA sequence was avoided using the Blast website (https://blast.ncbi.nlm.nih.gov/Blast.cgi). The shRNAs were then cloned into the pGV115 entry vector (Invitrogen Life Technologies, Carlsbad, CA, USA) and identified by PCR and DNA sequencing. Lentiviruses were produced and packaged using the 293T cells following co-transfection with pGV115 entry vector carrying dbpA-shRNA (shRNA-dbpA-Lv) or scrambled shRNA (shNC-dbpA-Lv) and pHelper plasmids, according to the lentivirus packaging protocol (Genechem Co., Ltd., Shanghai, China). The lentivirus contained the green fluorescent protein (GFP) and viral titers were then measured by GFP-positive cell counts under the observation of a fluorescence microscope (Olympus, Tokyo, Japan).
Infection of SW620 cells with shRNA-dbpA-Lv
The SW620 cells were seeded at 5×105 cells/well in 6-well plates and incubated for 24 h at 37°C with 5% CO2. The cells were infected with shRNA-dbpA-Lv (GenePharma, Shanghai, China) at a multiplicity of infection (MOI) of 10. The knockdown efficiency of dbpA was evaluated at 72 h by the percentage of GFP-positive cells (>50%). Cells were also infected with the shNC-dbpA-Lv plasmid as negative controls (NC). Cells transfected with empty vector were used as controls (CON). After infection at 120 h, the cells were harvested and prepared for reverse transcription-quantitative PCR (RT-qPCR) and western blot analysis.
RNA extraction and RT-qPCR
RNA from the cell cultures was extracted using TRizol reagent (Gibco Life Technologies, Beijing, China) according to the manufacturer's instructions. First strand cDNA was synthesized from 5 µg of total RNA using SuperScript II RT 200 U/µl (Invitrogen). dbpA mRNA expression was evaluated by qPCR on an ABI 7500 Real-Time PCR System (Applied Biosystems Life Technologies, Beijing, China) with SYBR-Green PCR core reagents. GAPDH was used as the input reference. The sequences of the primers used were as follows: dbpA sense, 5′-CGTCGCTCACGGGTCTTA-3′ and antisense, 5′-CCTGAAGTTGTGCTCCCTCT-3′; GAPDH sense, 5′-TGACTTCAACAGCGACACCCA-3′ and antisense, 5′-CACCCTGTTGCTGTAGCCAAA-3′. RT-qPCR was performed in triplicate and the results are presented as the Ct values, defined as the threshold PCR cycle number at which an amplified product is first detected. The mean Ct value was calculated, and the ΔCt value was determined as the mean Ct value for the target gene minus the mean Ct value for GAPDH.
Western blot analysis
The cells were collected, washed with PBS and then lysed in lysis buffer containing 100 mM Tris-HCl, pH 7.5, 0.5% NP-40 and protease inhibitor cocktail. The supernatant was collected after centrifugation (at 20,000 × g, for 15 min, at 4°C) and the protein concentrations were determined using a BCA protein assay kit (Pierce Biotechnology, Inc., Rockford, IL, USA). The cell lysate samples (40 µg) were separated by 15% SDS-PAGE and transferred onto a polyvinylidene difluoride filter (Immobilon; Millipore, Bedford, MA, USA). After blocking with 5% milk, the filter was incubated overnight with a primary rabbit polyclonal anti-dbpA antibody (ab48952; Boster Biological Technology, Ltd.) at 1:500 dilutions for 1 h. The samples were then incubated with the HRP-conjugated secondary antibodies (ab6721) at 1:1,000, and the bands were detected by enhanced chemiluminescence (both from Amersham Biosciences, Piscataway, NJ, USA), and then analyzed using Quantity One software (Bio-Rad Laboratories, Inc., Hercules, CA, USA).
3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay
The SW620 cells transfected with shRNA-dbpA-Lv or shNC-dbpA-Lv for 1 to 5 days, respectively, followed by diluting and seeding at a density of 2×103 cells/ml into a 96-well plate for 24 h. MTT solution was added to each well to a final concentration of 5 mg/ml and culture was continued for 4 h at 37°C. The supernatant mixed with MTT was removed and DMSO was added into each well. The OD data were analyzed once daily for 5 days using an ELISA reader (Bio-Rad Laboratories) at a wavelength of 490 nm.
Colony formation assay
The SW620 cells transfected with shRNA-dbpA-Lv or shNC-dbpA-Lv were plated into 6-well plates (2,000 cells/well) and incubated for 14 days at 37°C, with the medium replaced every 3 days. After cultivating for 14 days, the cells were washed with PBS, fixed with 4% paraformaldehyde for 30 min at room temperature and stained with Giemsa (Tiangen Biotechnology) for 15 min. The number of colonies containing >50 cells was counted under a microscope (CKX53; Olympus).
Cell cycle analysis
The effect of shRNA-dbpA-Lv on the cell cycle distribution was determined by flow cytometry. The cells were suspended at the concentration of 1×106 and centrifuged at 1,500 rmp for 5 min twice, then resuspended with 100 µl PBS and fixed with 70% ice-cold ethanol at 4°C overnight. The cells were washed with PBS and resuspended in 1 ml PBS containing 50 µg/ml PI and 100 µg/ml RNase A for 1 h in the dark at 4°C. The cell cycle was analyzed using a FACSCalibur flow cytometer (Becton-Dickinson, San Jose, CA, USA) at 72 h after transduction. The proportions of cells in the G2/M, S, and G0/G1 phases were analyzed using special software FlowJo software (Tree Star, Inc., Ashland, OR, USA).
Apoptosis analysis
SW620 cells transfected shRNA-dbpA-Lv or shNC-dbpA-Lv were collected and washed with PBS twice. Following centrifugation (at 100 × g, for 5 min, at 4°C), the cells were resuspended with 1X staining buffer at the concentration of 1×106 cells/ml, and the cells were then dyed with 5 µl Annexin V-APC in the dark at room temperature for 15 min. Flow cytometry was performed using a FACSCalibur flow cytometer (Becton-Dickinson) and analysis was performed with FlowJo software (Tree Star, Inc.).
Tumorigenicity assay
BALB/C nude mice (4 weeks old) were purchased from the Animal Center of the Fourth Military Medical University. Living SW620 cells were detected and harvested after mixing with 4% trypan blue, then washed and resuspended in PBS at 4°C. The animals were randomly divided into 3 groups (n=10) as follows: the mice subcutaneously injected with dbpA-shRNA (KD), those injected with negative-shRNA (NC) and those injected with normal cells (empty vector-transfected cells, CON). Each mouse was subcutaneously injected with 1×106 cells on the right side of axilla. The standard of tumorigenesis was based on a tumor diameter of ≥3 mm. Tumor sizes [volume (mm3) = width (mm2)/2 × length (mm)] were measured using calipers every 7 days. Furthermore, the physical conditions of the mice were monitored as follows: the thickness of subcutaneous fat of the mice was measured by calipers after pinching with fingers; the body weight of the mice was recorded using an electronic scale (Dongyi Biotechnology, Beijing, China). All mice were euthanized by cervical dislocation at 35 days post-inoculation, and the separated and complete tumors were collected and disposed for further analysis. The animal experiment was reviewed and approved by the Animal Care and Use Committee of Xi'an Jiaotong University.
Statistical analysis
Statistical analyses were performed using SPSS 12.0 software. Each experiment was repeated 3 times, unless otherwise indicated. All data are presented as the means ± standard deviation (SD). Comparisons between groups were carried out using the unpaired Student's t-test. A p-value of <0.05 was considered to indicate a statistically significant difference for all analyses.
Results
Expression of dbpA is increased in CRC tumor samples and varies in CRC cell lines
To explore the role of dbpA in human colorectal tumors, we began by analyzing the expression of dbpA in human CRC tissues. Paired colorectal tumor samples were obtained from 44 patients and dbpA expression was examined by IHC staining. Approximately 79.5% (35/44; p<0.001) of the CRC samples exhibited a positive dbpA expression, while 20.5% (9/44) of the CRC samples were negative for dbpA expression; only 9.1% (4/44) of the adjacent normal tissue samples exhibited a positive dbpA expression (Table I). We also found that dbpA was predominantly expressed in the cytoplasm of the CRC cells rather than in the nucleus or the cytomembrane region (Fig. 1A, top panels). Furthermore, IHC analysis revealed that the level of dbpA expression correlated with the depth of invasion in CRC. With the progression of the depth of invasion of the CRC tumor tissues (T1 to T4), the level of dbpA expression gradually increased (Fig. 1B, bottom panels). Collectively, the dbpA expression levels were significantly higher in the CRC tissues than in the non-tumor tissues, which implies that dbpA may facilitate tumorigenesis in the colon.
In addition, the expression levels of dbpA were assessed in different CRC cell lines, namely in the RKO, SW480, LoVo, DLD-1, SW1463, HT-29, SW620 cells, and in the normal colorectal mucosa cell line, FHC. The results of RT-qPCR revealed that the mRNA expression levels of dbpA varied among the cell lines. In the CRC cell lines, the expression levels from lowest to highest were: LoVo, DLD-1, RKO, HT-29, SW1463, SW480 and SW620 cells (Fig. 1B); however, no dbpA expression was detected in the normal colorectal mucosa cell line, FHC, which was consistent with the results of western blot analysis (Fig. 1C). The SW620 cells were selected for use in futher experiments as they exhibited the highest expression of dbpA. Our findings indicated that dbpA is dominantly expressed in CRC tissues or cell lines rather than in normal colon tissues or cells, and the expression profile differs amongst CRC cell lines.
dbpA expression correlates with different clinicopathological parameters
Considering that the level of dbpA in CRC tissues was significantly higher than that in non-tumor tissues, the correlations between dbpA expression and clinicopathological parameters in CRC were analyzed by Pearson's Chi-square test. We subdivided the CRC-positive cases into 3 groups according to the criteria described in the Materials and methods. The percentage of dbpA weak expression (+) was 28.6% (10/35), moderate expression (++) was 31.4% (11/35), and strong expression was 40.0% (14/35). Correlation analysis demonstrated that the strong expression of dbpA was significantly associated with the degree of differentiation (p<0.001), the depth of invasion (p<0.001), lymphatic metastasis (p<0.001), vessel invasion (p<0.001) and the TNM stage (p<0.05), but not with age, gender, tumor size, stage, type, distant metastasis, or surgical method (Table II). Therefore, we hypothesized that dbpA may be considered as a potential unfavorable prognostic biomarker for patients with CRC.
Effect of shRNA on dbpA expression in SW620 cells
Lentivirus-mediated shRNA inferference was applied to suppress the expression of dbpA in the SW620 cells. The efficiency of shRNA-dbpA-Lv or shNC-dbpA-Lv was detected by fluorescent microscopy in the infected cells. The results revealed that a great proportion of cells was infected with the shRNA (Fig. 2A); the infected percentage was >90% (data not shown).
RT-qPCR and western blot analysis were performed to further examine the silencing efficiency of the shRNA against dbpA. At 72 h post-transfection, the mRNA level of dbpA in the shRNA-dbpA-Lv group (KD) was significantly decreased when compared to the shNC-dbpA-Lv (NC) or control (CON) group (p<0.01; Fig. 2B). Western blot analysis also verified that the protein expression of dbpA was markedly decreased in the KD group in comparison to the CON or NC groups (Fig. 2C); no significant difference was observed between the NC and CON group. Therefore, our results indicated that lentivirus-mediated dpbA RNAi successfully and efficiently suppressed dbpA expression in the SW620 cells.
Silencing of dbpA suppresses the proliferation of SW620 cells
MTT assay was employed to assess the effects of the silencing of dbpA expression on the proliferation of the SW620 cells in vitro. Cell proliferation was analyzed by MTT assay once daily for 5 days. We found that the cells transfected with shRNA-dbpA-Lv proliferated more slowly than the cells in the NC and CON groups from 3 days onwards. In addition, on the 4th and 5th day, the proliferation rates in the KD group were significantly decreased (p<0.05 and p<0.01, respectively) when compared with the NC group (Fig. 3A).
Downregulation of dbpA inhibits the colony-forming ability of SW620 cells
Furthermore, when the SW620 cells were transfected with dbpA-shRNA, negative-shRNA, or the empty vyector-transfected cells were incubated for 14 days, the colony-forming capacity of the SW620 cells was determined. The number of colonies was counted following Giemsa staining. Our results revealed that the number cell colonies in the KD group declined significantly (p<0.01) in comparison with the control group (Fig. 3B and C). In addition, the size of the colonies was markedly reduced in the KD group compared with the control group (Fig. 3D). On the whole, these findings indicated that the silencing of dbpA by lentivirus-mediated RNAi efficiently suppressed SW620 cell proliferation in vitro.
Silencing of dbpA expression induces SW620 cell cycle arrest
Flow cytometry was adopted to detect cell cycle progression in the dbpA-shRNA-transfected cells. The results revealed that compared with the NC group, the proportion of dbpA-shRNA-transfected cells in the S phase was significantly decreased from 43.92 to 25.19 (p<0.01), while the ratio of cells in the G0/G1 phase was significantly increased from 35.24 to 54.45 (p<0.01), indicating that dbpA-shRNA interfered with the distribution of the cell cycle, leading to cell cycle arrest at the G1 phase in the KD group (Fig. 4). However, no significant difference in the number of cells in the S phase or the G0/G1 phase was observed between the cells in the CON group and NC group. Thus, knocking down dbpA expression suppressed SW620 cell proliferation by leading to cell cycle arrest at the G0/G1 phase.
Knockdown of dbpA expression promotes the apoptosis of SW620 cells
The balance between the cell cycle and cell apoptosis is the key premise to maintain tumorigenesis in patients (17). Hence, we considered it necessary to examine the effects of dbpA silencing on SW620 cell apoptosis in this study. Apoptosis was determined by FITC-labeled Annexin V/PI double staining and flow cytometric analysis. The results revealed that the silencing of the expression of dbpA in the KD group significantly increased the apoptotic rate when compared with the NC group (p<0.01; Fig. 5A and B). These results indicated that the silencing of dbpA expression promoted cell apoptosis which correlated with the inhibitory effects on cell proliferation.
Silencing dbpA decreases tumorigenesis in CRC in vivo
Since the knocking down of dbpA exerted an inhibitory effect on tumorigenesis in vitro, we considered it crucial to assess its effects in vivo. A xenograft tumor model was established by subcutaneously injecting normal cells (empty vector-transfected cells), negative control- or dbpA-shRNA-transfected SW620 cells into nude mice. After 14 days, the average tumor volume in the mice in the KD group was markedly smaller than that in the NC or CON groups (Fig. 6A). Furthermore, through monitoring the physical conditions of the injected mice, at 30 days post-treatment, the mice in the NC and CON groups reserved less subcutaneous fat and exhibited more weight loss than the mice in the KD group. At the 35th day, during the process of tumor isolation, we found that in the NC and CON groups, the surfaces of tumors appeared uneven with ulcerations and bleeding, while in the KD group, the tumors appeared more complete and had smooth outer members (Fig. 6C). The average weight of the tumors in the KD group was significantly smaller than that in the NC group, with the tumor inhibition rate at 93.97% (p<0.05) (Fig. 6B and C). However, no difference was observed either in tumor volume or tumor weight between the CON group and NC group. In addition, western blot analysis verified that the protein expression of dbpA was downregulated in the KD group in comparison to the NC or CON groups (Fig. 6D). Therefore, our results demonstrated that the suppression of the expression of dbpA in the SW620 cells significantly inhibited tumor growth in vivo.
Discussion
dbpA as a member of the Y-box protein family, has aroused great interest in recent years and has been reported to be involved in the development of malignant tumors, such as hepatocellular carcinoma (18) and gastric cancer (16). dbpA regulate the proliferation of epithelial cells, accelerates inflammation-induced hepatocarcinogenesis, and plays a vital role in the pathogenesis and development of gastric cancer (16). Although dbpA is considered as an oncogene in several tumors, its pathogenic mechanisms of action in CRC remain unknown. Hence, in this study, we examined dbpA expression in tumor samples from patients with CRC, and clarified that dbpA was overexpressed in CRC tumor tissues compared to paired adjacent normal tissues. To the best of our knowledge, we provided the first evidence to verify that dbpA plays an important role in CRC tumorigenesis.
In this study, 35 CRC cases with various TNM stages (I–IV) were selected to investigate the association between the clinical characteristics of CRC tumors and dbpA expression levels. Our findings illustrated that dbpA expression positively correlated with the degree of differentiation, the depth of invasion, vessel invasion and an advanced TNM stage, which are all the key features to accelerate cancer development (19). Furthermore, IHC staining revealed that dbpA was mainly expressed in the cytoplasm and was associated with the progression of CRC in patients. Yasen et al had emphasized that both the cytoplasmic expression and the nuclear localization of dbpA, as a significant prognostic marker, was responsible for the advanced stages of hepatocellular carcinoma (14). However, during our study, no dbpA expression was found in the nucleus in our CRC cases. These exiting data indicate that the localization of dbpA may alternate, depending on advanced cancer stages or different cancer types. Further studies with larger sample sizes are warranted in order to deeply investigate the variation of dbpA localization in CRC progression.
In the present study, we found that dbpA expression varied in different CRC cell lines. The SW620 cells derived from colorectal adenocarcinoma had the highest expression of dbpA. Thus, for this reason, we selected these cells for use in our subsequent experiments. Small interference RNA and lentiviral vector-mediated RNAi have been extensively used as efficient tools to investigate the specific genes involved in abnormal cell proliferation and are regarded as promising therapeutic methods to deal with malignant tumors (20,21). Lentivirus-mediated shRNA interference was conducted in this study to inhibit dbpA expression in the SW620 cells. As a result, the knockdown of dbpA suppressed SW620 cell proliferation by inducing cell cycle arrest in the G0/G1 phase in vitro. Furthermore, through establishing a xenograft model using nude mice, we found that dbpA silencing significantly inhibited tumor growth and tumorigenesis in vivo. Therefore, modulating dbpA expression resulted in changes in cell proliferation both in vitro and in vivo. Abnormal cell proliferation is considered as the key element in the progression of cancer (22). The occurrence of cell proliferation in physiological conditions is always regulated by specific molecular signaling pathways (23). For example, the duplicate progression of a cell is mediated by a group of proteins known as cyclins (24). Cyclins act in part with the cyclin-dependent kinases (CDKs) to phosphorylate key substrates that participate in each phase of the cell cycle (25). Researchers have reported that increased cyclin expression is frequently observed in human malignancies (26). For example, our previous study also proved that the silencing of dbpA suppressed the transcription of cyclin D1 and resulted in the inhibition of the proliferation of gastric cancer cells (16); this may also explain the similar results obtained in our present study.
Apoptosis is a natural way of removing aged cells from the living body (27), whereas under cancer conditions, the uncontrolled regulation of apoptotic signals assists cancer cells to escape from this programmed death and leads to abnormal proliferation (28). Various molecular signaling pathways have been found to be involved in this complex program, such as the B-cell lymphoma 2 (Bcl-2) signaling pathway (29), the heat shock protein signaling pathway (30) and the proteasome pathway (31). In this study, we confirmed that the silencing of dbpA significantly increased the apoptosis of SW620 cells, suggesting that dbpA may regulate apoptosis by activating or inactivating certain signaling pathways. The exact underlying molecular mechanisms responsible for the apoptosis observed by the silencing of dbpA in CRC requires further investigation.
In conclusion, our study confirmed that dbpA was overexpressed in CRC tissues and cell lines. The high expression level of dbpA closely correlated with certain clinicopathological parameters and tumor progression in CRC. Lentivirus-mediated RNAi of dbpA inhibited SW620 cell growth in vitro and tumorigenesis in vivo. Furthermore, the silencing of dbpA induced cell cycle arrest and promoted cell apoptosis. Hence, our findings illustrate the biological significance of dbpA in tumorigenesis in CRC and provide scientific evidence to develop a novel therapeutic target for the more effective treatment of patients with CRC. Moreover, further investigations are required in order to comprehensively reveal the intrinsic mechanisms of action of dbpA in CRC.
Acknowledgments
The present study was funded by grants from the National Natural Science Foundation of China (no. 81172363/H1617) and the Natural Science Foundation of Shaanxi Province (2014JM4089).
Reference
Siegel R, Desantis C and Jemal A: Colorectal cancer statistics, 2014. CA Cancer J Clin. 64:104–117. 2014. View Article : Google Scholar : PubMed/NCBI | |
Shi Q, Mandrekar SJ and Sargent DJ: Predictive biomarkers in colorectal cancer: usage, validation, and design in clinical trials. Scand J Gastroenterol. 47:356–362. 2012. View Article : Google Scholar | |
Compton CC: Colorectal carcinoma: diagnostic, prognostic, and molecular features. Mod Pathol. 16:376–388. 2003. View Article : Google Scholar : PubMed/NCBI | |
Custodio A and Feliu J: Prognostic and predictive biomarkers for epidermal growth factor receptor-targeted therapy in colorectal cancer: beyond KRAS mutations. Crit Rev Oncol Hematol. 85:45–81. 2013. View Article : Google Scholar | |
De Mattos-Arruda L, Dienstmann R and Tabernero J: Development of molecular biomarkers in individualized treatment of colorectal cancer. Clin Colorectal Cancer. 10:279–289. 2011. View Article : Google Scholar : PubMed/NCBI | |
Linnekamp JF, Wang X, Medema JP and Vermeulen L: Colorectal cancer heterogeneity and targeted therapy: a case for molecular disease subtypes. Cancer Res. 75:245–249. 2015. View Article : Google Scholar : PubMed/NCBI | |
Kudo S, Mattei MG and Fukuda M: Characterization of the gene for dbpA, a family member of the nucleic-acid-binding proteins containing a cold-shock domain. Eur J Biochem. 231:72–82. 1995. View Article : Google Scholar : PubMed/NCBI | |
Petruzzelli R, Gaudino S, Amendola G, Sessa R, Puzone S, Di Concilio R, d'Urzo G, Amendolara M, Izzo P and Grosso M: Role of the cold shock domain protein A in the transcriptional regulation of HBG expression. Br J Haematol. 150:689–699. 2010. View Article : Google Scholar : PubMed/NCBI | |
Hasegawa SL, Doetsch PW, Hamilton KK, Martin AM, Okenquist SA, Lenz J and Boss JM: DNA binding properties of YB-1 and dbpA: binding to double-stranded, single-stranded, and abasic site containing DNAs. Nucleic Acids Res. 19:4915–4920. 1991. View Article : Google Scholar : PubMed/NCBI | |
Kohno K, Izumi H, Uchiumi T, Ashizuka M and Kuwano M: The pleiotropic functions of the Y-box-binding protein, YB-1. BioEssays. 25:691–698. 2003. View Article : Google Scholar : PubMed/NCBI | |
Wolffe AP: Structural and functional properties of the evolutionarily ancient Y-box family of nucleic acid binding proteins. BioEssays. 16:245–251. 1994. View Article : Google Scholar : PubMed/NCBI | |
Ladomery M and Sommerville J: A role for Y-box proteins in cell proliferation. BioEssays. 17:9–11. 1995. View Article : Google Scholar : PubMed/NCBI | |
Tobita H, Kajino K, Inami K, Kano S, Yasen M, Imamura O, Kinoshita Y and Hino O: Gene expression profile of DNA binding protein A transgenic mice. Int J Oncol. 29:673–679. 2006.PubMed/NCBI | |
Yasen M, Kajino K, Kano S, Tobita H, Yamamoto J, Uchiumi T, Kon S, Maeda M, Obulhasim G, Arii S, et al: The up-regulation of Y-box binding proteins (DNA binding protein A and Y-box binding protein-1) as prognostic markers of hepatocellular carcinoma. Clin Cancer Res. 11:7354–7361. 2005. View Article : Google Scholar : PubMed/NCBI | |
Arakawa Y, Kajino K, Kano S, Tobita H, Hayashi J, Yasen M, Moriyama M, Arakawa Y and Hino O: Transcription of dbpA, a Y box binding protein, is positively regulated by E2F1: implications in hepatocarcinogenesis. Biochem Biophys Res Commun. 322:297–302. 2004. View Article : Google Scholar : PubMed/NCBI | |
Wang GR, Zheng Y, Che XM, Wang XY, Zhao JH, Wu KJ, Zeng J, Pan CE and He DL: Upregulation of human DNA binding protein A (dbpA) in gastric cancer cells. Acta Pharmacol Sin. 30:1436–1442. 2009. View Article : Google Scholar : PubMed/NCBI | |
Evan GI and Vousden KH: Proliferation, cell cycle and apoptosis in cancer. Nature. 411:342–348. 2001. View Article : Google Scholar : PubMed/NCBI | |
Yasen M, Obulhasim G, Kajino K, Mogushi K, Mizushima H, Tanaka S, Tanaka H, Hino O and Arii S: DNA binding protein A expression and methylation status in hepatocellular carcinoma and the adjacent tissue. Int J Oncol. 40:789–797. 2012. | |
Fallowfield LJ and Fleissig A: The value of progression-free survival to patients with advanced-stage cancer. Nat Rev Clin Oncol. 9:41–47. 2011. View Article : Google Scholar : PubMed/NCBI | |
Guo W, Chen W, Yu W, Huang W and Deng W: Small interfering RNA-based molecular therapy of cancers. Chin J Cancer. 32:488–493. 2013. View Article : Google Scholar : PubMed/NCBI | |
Sumimoto H and Kawakami Y: Lentiviral vector-mediated RNAi and its use for cancer research. Future Oncol. 3:655–664. 2007. View Article : Google Scholar : PubMed/NCBI | |
Von Wangenheim KH and Peterson HP: The role of cell differentiation in controlling cell multiplication and cancer. J Cancer Res Clin Oncol. 134:725–741. 2008. View Article : Google Scholar | |
Feitelson MA, Arzumanyan A, Kulathinal RJ, Blain SW, Holcombe RF, Mahajna J, Marino M, Martinez-Chantar ML, Nawroth R, Sanchez-Garcia I, et al: Sustained proliferation in cancer: mechanisms and novel therapeutic targets. Semin Cancer Biol. 35(Suppl): S25–S54. 2015. View Article : Google Scholar : PubMed/NCBI | |
Canavese M, Santo L and Raje N: Cyclin dependent kinases in cancer: potential for therapeutic intervention. Cancer Biol Ther. 13:451–457. 2012. View Article : Google Scholar : PubMed/NCBI | |
Węsierska-Gądek J and Maurer M: Promotion of apoptosis in cancer cells by selective purine-derived pharmacological CDK inhibitors: one outcome, many mechanisms. Curr Pharm Des. 17:256–271. 2011. View Article : Google Scholar | |
Casimiro MC, Velasco-Velázquez M, Aguirre-Alvarado C and Pestell RG: Overview of cyclins D1 function in cancer and the CDK inhibitor landscape: past and present. Expert Opin Investig Drugs. 23:295–304. 2014. View Article : Google Scholar : PubMed/NCBI | |
Elmore S: Apoptosis: a review of programmed cell death. Toxicol Pathol. 35:495–516. 2007. View Article : Google Scholar : PubMed/NCBI | |
Ouyang L, Shi Z, Zhao S, Wang FT, Zhou TT, Liu B and Bao JK: Programmed cell death pathways in cancer: a review of apoptosis, autophagy and programmed necrosis. Cell Prolif. 45:487–498. 2012. View Article : Google Scholar : PubMed/NCBI | |
Yating Q, Yuan Y, Wei Z, Qing G, Xingwei W, Qiu Q and Lili Y: Oxidized LDL induces apoptosis of human retinal pigment epithelium through activation of ERK-Bax/Bcl-2 signaling pathways. Curr Eye Res. 40:415–422. 2015. View Article : Google Scholar | |
Qi Z, Shen L, Zhou H, Jiang Y, Lan L, Luo L and Yin Z: Phosphorylation of heat shock protein 27 antagonizes TNF-α induced HeLa cell apoptosis via regulating TAK1 ubiquitination and activation of p38 and ERK signaling. Cell Signal. 26:1616–1625. 2014. View Article : Google Scholar : PubMed/NCBI | |
Mohammad RM, Muqbil I, Lowe L, Yedjou C, Hsu HY, Lin LT, Siegelin MD, Fimognari C, Kumar NB, Dou QP, et al: Broad targeting of resistance to apoptosis in cancer. Semin Cancer Biol. 35(Suppl): S78–S103. 2015. View Article : Google Scholar : PubMed/NCBI |