Open Access

Inhibitory effects of adenovirus mediated tandem expression of RhoA and RhoC shRNAs in HCT116 cells

Journal of Experimental & Clinical Cancer Research200928:52

DOI: 10.1186/1756-9966-28-52

Received: 25 February 2009

Accepted: 18 April 2009

Published: 18 April 2009



RhoA and RhoC are deregulated by over expression in many human tumors, including colorectal cancer. Some reports show that they play a pivotal role in the carcinogenesis, tumor development and infiltration metastasis. In this study, for the first time we constructed recombinant adenovirus to investigate the inhibitory effects of RhoA and RhoC shRNAs in tandem expression on the cell proliferation and invasion of colorectal cancer HCT116 cells.


The recombinant adenovirus carrying RhoA and RhoC shRNAs in tandem expression was transfected into HCT116. The mRNA transcription and protein expressions of RhoA and RhoC were examined by RT-FQPCR and Western blot respectively. Cellular proliferation inhibitory activity was determined by methyl thiazolyl tetrazolium (MTT) assay and invasive and migrating potential was detected through in vitro Matrigel coated invasion and migration assay.


Both mRNA and proteins Levels of RhoA and RhoC were significantly reduced in HCT116 cells transfected with Ad-A1+A2+C1+C2 than those in Ad-HK group and control one. The relative RhoA and RhoC mRNA transcriptions were decreased to 40% and 36% (P < 0.05), while proteins expression reducing 42% and 35%, respectively (P < 0.05). Growth curves analysis showed that alive cell number in the Ad-A1+A2+C1+C2 group was lower than others in the third to sixth day and transwell chamber analysis showed that migration/invasion activity was significantly suppressed in Ad-A1+A2+C1+C2 group.


Our results indicate recombinant adenovirus carrying RhoA and RhoC shRNAs in tandem expression may inhibit the growth and invasion of HCT116 cells. Application of such vector to inhibit one or more genes may be a new method to cancer therapy.


The Rho family, a member of the Ras superfamily of low-molecular-weight GTP-binding proteins, contains Rho (e.g., RhoA, B, C), Rac and Cdc42 proteins [1, 2] Previous studies have shown that Rho proteins become deregulated by over expression in tumours. In some cases, this deregulation correlates with disease progression [3]. Despite the high homology of different Rho isoforms (RhoA, RhoB and RhoC), their physiological roles are distinct [4]. The role of RhoB in these processes appears to be more divergent, whereas RhoA and RhoC proteins have been shown to have a positive role in proliferation and malignant transformation [5, 6]. Moreover, elevated RhoC expression has been found to correlate with poor outcome in whites with colorectal carcinoma and may be used as a prognostic marker of colorectal carcinoma. Increased levels of RhoA expression was observed in Asian patients with colorectal carcinoma. Therefore, specific inhibiting the functions of RhoA and RhoC are predicted to be of great therapeutic benefits. Recently, it has been demonstrated that interfering the expression of RhoA and RhoC using small interfering RNA (siRNA) approaches inhibited the proliferation and invasion of gastric cancer cells [7].

In this study, for the first time we constructed adenovirus vector carrying RhoA and RhoC shRNAs in tandem expression and investigated the inhibitory effects of recombinant adenovirus on the cell proliferation and invasion of colorectal cancer HCT116 cells. We showed that a significant reduction in RhoA and RhoC expression could markedly inhibit the invasion and migration potentials of colorectal cancer cells. Thus, our results provide new evidence of the potential use of one more gene-targeted RNAi as a novel way to reduce tumor progression of colorectal cancer.


Cell culture

The human colon cancer cell line HCT116 was purchased from China Centre for Type Culture Collection, Chinese Academy of Sciences. The cells were grown in McCoy's 5A medium, Modified (Sigma), supplemented with 10% of fetal bovine serum (Hyclone, USA) at 37°C in a humidified atmosphere of 5% CO2. Cells were always detached using Trypsin-EDTA and subcultured at 1.5 × 105 cells per well into six-well tissue culture plates for transfection.

Cell transfection with adenovirus vectors

Four kinds of oligonucleotide sequences that specifically knock out human RhoA (NM_001664) and RhoC (NM_175744) were selected [8]. The oligonucleotide sequence was as follows: A1: GAAGGCAGAGATATGGCAA, A2: GAAGGATCTTCGGAATGAT, C1: CTATATTGCGGACATTGAG, C2: AACATTCCTGAGAAGTGGA. Scrambled control: GACTTCATAAGGCGCATGC. 4 pairs shRNA (A1, A2, C1 and C2) were then cloned into the vector pGenesil-2 (with hU6, mU6, h7SK and hH1 promoters respectively) by repeated excision and ligation successively. The recombinant adenovirus was generated by Jingsai biological CO. LTD, Wuhan, China. The particle titers of the adenoviral stocks were 1 × 109 plaque-forming units per milliliter (pfu/mL). Adenovirus vectors expressing RhoA and RhoC (Ad-A1+A2+C1+C2, A1+A2+C1+C2 in tandem), green fluorescent protein (Ad-GFP) or negative control (Ad-HK) were used to transfect HCT116 cells. Transfection efficiency was detected directly by testing the expression ratio of green fluorescent protein. When multiplicity of infection (MOI) was 10, HCT116 cells were co-cultured with Ad-A1+A2+C1+C2 or Ad-HK. The cells were collected after being transfected for 48 h. Untreated cell was used as control.

Reverse transcription-fluoresencent quantitative polymerase chain reaction (FQ-PCR)

Total RNA was extracted from each sample using Trizol (Invitrogen, Gaithersburg, MD) and reversely transcripted into cDNA using the PrimeScript RT-PCR kit (TaKaRa Bio Inc., Shiga, Japan) according to the manufacturer's instructions. The primers for the human RhoA gene were: sense 5'-CGGGAGCTAGCCAAGATGAAG-3', antisense 5'-CCTTGCAGAGCAGCTCTCGTA-3', fluorescent probe 5'-FAM-AGAGATATGGCAAACAGGATTGGCG-TAMRA-3', and the amplicon size is 158 base pairs (bps). The primers for the human RhoC gene were: sense 5'-CCTCATGTGCTTCTCCATCGA-3', antisense 5'-CTCGTCTTGCCTCAGGTCCTT-3', fluorescent probe 5'-FAM-TCTGCCCCAACGTGCCCATCAT-TAMRA-3', and the amplicon size is 136 bps. The GAPDH was used as the internal control with the specific primers: sense 5'-CTTAGCACCCCTGGCCAAG-3', antisense 5'-GATGTTCTGGAGAGCCCCG-3', fluorescent probe 5'-FAM-CATGCCATCACTGCCACCCAGAAGA-TAMRA-3', and the amplicon size is 150 bps. Primers and fluorescent probes were synthesized by Shanghai Sangon Biological Engineering Technology & Services Co., Ltd. (Shanghai, China). The levels of RhoA, RhoC and control GAPDH mRNA transcripts were determined by the QRT-PCR in ABI7500 real time thermal cycler (Applied Biosystems, Foster City, CA). The PCR reactions in duplicate were subjected to an initial denaturation at 95°C for 10 seconds, followed by 40 cycles of denaturation at 95°C for 5 seconds, annealing and extension at 60°C for 45 seconds. The value of threshold cycle (CT) for each reaction was recorded.

Western blot analysis

Cell samples were lysed in ice-cold lysis buffer (Beyotime, China) with 1% PMSF (Phenylmethylsulfonyl fluoride) for half an hour, then centrifuged at 10,000 g for 20 min at 4°C and the protein concentration of the resulting supernatant was determined by the bicinchoninic acid (BCA) protein assay kit (Beyotime, China). Proteins (50 μg) were separated by 12% SDS-PAGE electrophoresis and subsequently transferred to PVDF membranes. Membranes were blocked with 5% nonfat dry milk in TBS/Tween 20 (0.05%, v/v) for 2 h at room temperature and incubated overnight at 4°C with primary antibodies directing against RhoA (Santa Cruz), RhoC (Santa Cruz) and GAPDH. The blots were washed and incubated with the horseradish peroxidase-conjugated secondary antibody (DakoCytomation), and developed with a chemiluminescent substrate, ECL Plus. An autoradiograph was obtained, and protein levels were measured using a Fluors scanner and Quantity One software for analysis (Bio-Rad). Assays were done in triplicate for each experiment, and each experiment was repeated three times.

MTT assay

For measurement of cell proliferation rate, the collected cells, which were transfected with Ad-A1+A2+C1+C2 or Ad-HK for 48 h, were plated into 96-well plates in 1 × 103 cells/100 μl medium/well. 10 μl of MTT solution (Amresco) was added into each well daily from the 2nd to 7th day, and plates were incubated for 4 h at 37°C. Then 150 μl DMSO was added to dissolve formazan. Absorbance values (A) were measured at a wavelength of 490 nm with a microplate reader. Results were expressed as mean value ± SEM and surviving rate was calculated as the follows: Surviving rate = A490 of experiment/A490 of control × l00%. Assay was done in six wells, and each experiment was repeated three times.

In vitro matrigel invasion assay

In vitro Matrigel invasion assay was performed by using a 24-well millicell inserts (BD Biosciences) with polycarbonate filters (pore size, 8 μm). The upper side of polycarbonate filter was coated with matrigel (50 μg/ml, BD Biosciences). The chambers were incubated at 37°C with 5% CO2 for 2 h to allow the matrix to form a continuous thin layer. Then the cells transfected with Ad-A1+A2+C1+C2 or Ad-HK and control ones were harvested and 4 × 105 cells in 200 μl of 0.1% bovine serum albumin were placed in the upper chamber. The lower chamber was filled with 10% serum-medium (700 μl). Cells were cultured for 22 h at 37°C in 5% CO2. Cells on the upper surface of the filter were removed using a cotton swab. Cells invading through the Matrigel and filter to the lower surface were fixed with 4% neutral-buffered formalin and stained in 0.01% crystal violet solution. The cell numbers in five fields (up, down, median, left, right. ×200) were counted for each chamber, and the average value was calculated. Assays were done in triplicate for each experiment, and each experiment was repeated three times.

In vitro cell migration assay

This migration assay was to measure cell migration through an 8.0-μm pored membrane in a 24-well millicell inserts (BD Biosciences). The lower chamber was filled with 10% serum-medium (700 μl). 4 × 105 cells in 200 μl medium supplemented with 10% FBS were placed in the upper chamber. After 16h-incubation, the number of migrated cells (lower side of the membrane) was counted as described above.

Statistical analysis

Statistical analyses were performed using SPSS statistical software (SPSS Inc., Chicago, Illinois). Data were shown by mean value ± SEM. Differences between two groups were assessed using a t test. A P value less than 0.05 was considered statistically significant.


Transfection of HCT116 with adenovirus

Through sequence analysis, the Ad-A1+A2+C1+C2 vector was identified to be constructed successfully (Fig. 1). To assess the efficiency of adenoviral transduction, human HCT116 cells were plated at a density of 1.5 × 105 cells/well into 24-well plates and infected with Ad-GFP at various multiplicities of infection (MOIs) 24 h after seeding. After 48 h, GFP-expressing cells were detected by fluorescence microscopy (Olympus, Japan). We found that HCT116 cells exhibited high adenoviral transduction efficiency, because more than 95% cells were infected with Ad-GFP at a dose of MOI 10. We also found that the number of GFP-expressing cells increased in a MOI-dependent manner (Fig. 2), but cytotoxicity was gradually achieved at higher dose of virus (MOI > 20).
Figure 1

shows the sequencing histograms of A1, A2, C1 and C2 of Ad-A1+A2+C1+C2. They all contain the sense +loop (TTCAAGACG)+antisense.
Figure 2

displays the expression of GFP in HCT116 cells 48 h after transfected by Ad-GFP with different MOIs under fluorescent microscope at 200× magnification. The number of GFP-expressing cells increases in a MOI-dependent manner. When the MOI is more than 20, the infected cells still display bright green fluorescence, but their morphologies changes dramatically with less vigorously growing.

Silencing of specific genes and proteins in HCT116

48 hours after transfection of Ad-A1+A2+C1+C2 or Ad-HK to HCT116, we analyzed the expression of RhoA and RhoC in mRNA and protein level in HCT116 cells using real-time FQ-PCR [9] and Western blot assay respectively. The ΔCT (CTTarget - CTGAPDH) values for RhoA and RhoC mRNA for cells infected with Ad-A1+A2+C1+C2 were significantly higher than those for cells that were infected with Ad-HK or for the control cells (Fig. 3, Table 1). The relative RhoA and RhoC mRNA expression to the control cells were only about 40% and 36%, respectively, which demonstrated a significantly reduced expression of RhoA and RhoC mRNA (P < 0.05). However, there was no significant difference between the cells treated with Ad-HK and the control ones (P > 0.05). As shown in Fig. 4, RhoA and RhoC protein expression was similar to the results of FQ-PCR. The scanning signal intensity of RhoA and RhoC proteins for cells infected with Ad-A1+A2+C1+C2 were significantly weaker than those of control cells or cells infected with Ad-HK (P < 0.05). The relative RhoA and RhoC protein expression of cells infected with Ad-A1+A2+C1+C2 to the control cells were only about 42% and 35%, respectively (P < 0.05).
Figure 3

shows the amplification curve of GAPDH, RhoA and RhoC. They all exhibit standard S shape, suggesting a good amplification efficiency and linear relationship.
Figure 4

indicates protein levels in HCT116 cells. The RhoA and RhoC proteins from cells infected with Ad-A1+A2+C1+C2 were significantly weaker than those from control cells or from cells infected with Ad-HK. GAPDH is used as a loading control (A). The graph (B) compares scanning signal intensity of RhoA and RhoC expression by Imagel software. *P > 0.05, no significantly difference between the cells treated with Ad-HK and the control cells. **P < 0.05, compared with other groups.

Table 1

Expression of RhoA and RhoC mRNA in human HCT116 cells (mean ± SEM)






Rel. to controla


Rel. to controla


0 ± 0.17

1 (0.88–1.13)

0 ± 0.11

1 (0.93–1.08)


0.11 ± 0.09

0.93 (0.87–0.99)

0.13 ± 0.10

0.91 (0.85–0.98)


1.32 ± 0.22

0.40 (0.34–0.47)

1.48 ± 0.16

0.36 (0.32–0.40)

a. Data are expressed as the mean 2-ΔΔCT (range).

Effects of RhoA and RhoC specific shRNA on cell proliferation activity

To assess the proliferation activity of tumor cell is important in its invasion and metastasis. Collected cells were seeded onto 96-well microplates and cellular growths were determined by a continuous 6-day MTT assay. Growth curve was plotted according to these OD value alterations of MTT assay. The difference in cell growth inhibition rate between the HCT116 cells infected with Ad-A1+A2+C1+C2 and the other two groups was not statistically significant in the first 2 days. However, in the third to sixth day, significant differences were found (Fig. 5), but no significant difference between the control cells and the cells infected with Ad-HK. The results showed that knockdown of RhoA and RhoC in the HCT116 cells by shRNA could change the cell proliferation activity in vitro.
Figure 5

displays the growth curve according to the values of 490 nm wavelength light absorption in the three groups. In the third to sixth day, significant difference as exhibited in cell growth inhibition in Ad-A1+A2+C1+C2 group. But there is a slight difference between the control cell and the cells infected with Ad-HK.

Invasion and migration power assay in vitro

After 22 h incubation, the control HCT116 cells showed stronger invasion activities compared with the ones infected with Ad-A1+A2+C1+C2 group (88 versus 38) (Fig. 6). The differences between the control and Ad-HK group had no statistical significance. Moreover, the HCT116 cells in Ad-A1+A2+C1+C2 group displayed a significantly lower transmembrane migration activity as compared to those in Ad-HK group and in control HCT116 cells. These findings suggest that RhoA and RhoC expression level seems to be closely associated with the enhanced invasion and migration in HCT116 cell lines.
Figure 6

indicates that silencing of RhoA and RhoC may inhibit the invasion and migration of HCT116 cells. The number of invading cells was determined by counting the cells stained with 0.01% crystal violet solution in the lower side of the membrane (A). The graphs (B, C) compare the numbers of transmembrane cells in invasion and migration experiments. Data represent the mean value ± SEM of three independent experiments. *P > 0.05, no significantly difference between the cells treated with Ad-HK and the control cells. **P < 0.05, compared with other groups.


Rho GTPases act as molecular switches to control signal transduction pathways by cycling between a GDP-bound, inactive form and a GTP-bound, active form. Their best-characterized function is in the regulation of actin dynamics. They not only regulate the organization of actin filament system, but also modulate cell motility, proliferation, apoptosis, cell cycle progression, and invasion and metastasis of malignant tumor cells [10, 11]. Cell migration is an essential process in multicellular organisms but it's a critical step in tumor invasion and metastasis. Understanding of this process may lead to appropriate therapies for cancer [12, 13]. Recent accumulating evidences have shown that RhoA and RhoC are over-expressed in many kinds of cancers, and they may play important roles in initiation and progression of cancers [3, 5, 14, 15].

Despite the high homology of RhoA and RhoC, RhoA has been shown to regulate the activities of multiple transcription factors, most of which are implicated in the cancer progression [16] by modulating cancer cell adhesion, contraction, movement, release of cellular adhesion, degradation of extra-cellular matrix, and invasion into blood or lymph vessels [17, 18]. RhoC also contributes to tumor development, especially to invasion and metastasis of cancer cells [19, 20]. Furthermore, Faried A. and colleagues identified that RhoA promoted tumour growth more than RhoC, while RhoC induced distant metastasis in comparison to RhoA [21]. These findings are alike to those of Clark and colleagues, who showed that RhoC had better motogen than RhoA when expressed in melanoma and that RhoC over- expression could promote melanoma cells to exit the blood and colonise lungs [22].

Colorectal carcinoma is one of the most common malignancies, with an increasing annual incidence [23]. Colorectal carcinoma is usually accompanied by local invasion and distant metastasis, which are the main causative factors for the cancer-related death [24]. However, the underlying molecular and cellular mechanisms are poorly understood. Our previous clinical study demonstrated that the levels of RhoA and RhoC mRNA transcripts in tumor tissues were significantly higher than those in the corresponding paratumor and normal tissues, and the expressions of both RhoA and RhoC in cancers with lymph node or liver metastasis were significantly higher than those in those without metastasis, indicating these two genes may contribute to the onset and development as well as invasion and metastasis of colorectal carcinoma. Specifically, the levels of RhoC expression were significantly correlated with the extents of local intestinal invasion although not with the histopathological degrees of cancers, strongly supporting its function in tumor invasion and metastasis [9]. Therefore, specific inhibitors of individual Rho functions are predicted to be of great therapeutic benefits.

RNA interference (RNAi) is an evolutionarily conserved sequence-specific post-transcriptional gene silencing mechanism triggered by small double-stranded RNA (dsRNA) that results either in degradation of homologues mRNAs or inhibition of mRNA translation [25]. Many studies have been done in down-regulating the expression of RhoA and RhoC by RhoA or RhoC-specific siRNAs to inhibit the proliferation and invasiveness of cancer cells [7, 26, 27]. In this study, we constructed an efficient multiple shRNAs expression system based on pSilence plasmid and our selected efficient two RhoA-targeted short hairpin RNAs (shRNA) and two RhoC-targeted shRNAs [8]. The tandem array multiple shRNAs expression vector contained four shRNA expression cassettes targeting two genes. In HCT116 cells, the multiple shRNAs expression constructs could efficiently and simultaneously induce inhibition of RhoA and RhoC genes and markedly inhibit the invasion and migration potentials of cancer cells. The inhibitory effects of multiple shRNAs expression vectors were more effective than single shRNA expression vector (data not shown). Further research work is being done to evaluate the inhibition effects of multiple shRNAs expression vectors on nude mice.

To our knowledge, this is the first study that 4-tandem shRNA construct targeting RhoA and RhoC genes was proved to be a successful approach in reducing the malignance of colorectal tumor cells. Recent accumulating evidences have shown that co-expression of multiple shRNAs can simultaneously inhibit multiple genes or target multiple sites on a single gene, which demonstrated that multiple shRNAs expression system could inhibit all six genes and was much more efficient in inducing apoptosis in PC3 cells [28]. Moreover, a tandem Ku-shRNA-encoding plasmid expression system can knock-down Ku70 and Ku80 at the same time [29]. Furthermore, the vector that expresses five shRNAs targeting on rat ventricular myocyte Kir2.1 gene in tandem is able to suppress the expression of Kir2.1 in rat ventricular myocytes [30]. All these results including ours implicate that such shRNA-induced in tandem RNA interference may be used for dissecting complex signaling pathways and even be applied to targeting multiple genes in cancer therapy.



This work was supported by grants from the Natural Scientific Foundation of Shandong Province (Grant code: 2006ZRB14274) and the Research Program of Qingdao South District Municipal Science and Technology Commission.

Authors’ Affiliations

Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tongji Medical College, Huazhong University of Science and Technology
Central Laboratory of Molecular Biology, Affiliated Hospital of Qingdao University Medical College
Department of General Surgery, Affiliated Hospital of Qingdao University Medical College


  1. Schoenwaelder SM, Burridge K: Bidirectional signalling between the cytoskeleton and integrins. Curr Opin Cell Biol. 1999, 11: 274-286. 10.1016/S0955-0674(99)80037-4.View ArticleGoogle Scholar
  2. Bar-Sagi D, Hall A: Ras and Rho GTPases: a family reunion. Cell. 2000, 103: 227-238. 10.1016/S0092-8674(00)00115-X.View ArticleGoogle Scholar
  3. Sahai E, Marshall CJ: RHO-GTPases and cancer. Nat Rev Cancer. 2002, 2: 133-142. 10.1038/nrc725.View ArticleGoogle Scholar
  4. Takai Y, Sasaki T, Matozaki T: Small GTP-binding proteins. Physiol Rev. 2001, 81: 153-208.Google Scholar
  5. Horiuchi A, Imai T, Wang C, Ohira S, Feng Y, Nikaido T, Konishi I: Up-regulation of small GTPases, RhoA and RhoC, is associated with tumour progression in ovarian carcinoma. Lab Invest. 2003, 83: 861-870.View ArticleGoogle Scholar
  6. Kamai T, Tsujii T, Arai K, Takagi K, Asami H, Ito Y, Oshima H: Significant association of Rho/ROCK pathway with invasion and metastasis of bladder cancer. Clin Cancer Res. 2003, 9: 2632-2641.Google Scholar
  7. Sun HW, Tong SL, He J, Wang Q, Zou L, Ma SJ, Tan HY, Luo JF, Wu HX: RhoA and RhoC-siRNA inhibit the proliferation and invasiveness activity of human gastric carcinoma by Rho/PI3K/Akt pathway. World J Gastroenterol. 2007, 13: 3517-3522.View ArticleGoogle Scholar
  8. Wang HB, Liu XP, Yang K, Sui AH, Dai MY: Construction of shRNA expression vector targeting against RhoA and RhoC and effects of the vector on corresponding gene in colorectal cancer cells HCT116. Shandong Yi Yao. 2008, 48: 1-3.Google Scholar
  9. Liu XP, Wang HB, Liu YJ, Sui AH, Yang K: Expression and significance of RhoA and RhoC in colorectal carcinoma. Zhonghua Shi Yan Wai Ke Za Zhi. 2008, 25: 888-890.Google Scholar
  10. Aznar S, Lacal JC: Rho signals to cell growth and apoptosis. Cancer Lett. 2001, 165: 1-10. 10.1016/S0304-3835(01)00412-8.View ArticleGoogle Scholar
  11. Fukata M, Nakagawa M, Kaibuchi K: Roles of Rho-family GTPases in cell polarization and directional migration. Curr Opin Cell Biol. 2003, 15: 590-597. 10.1016/S0955-0674(03)00097-8.View ArticleGoogle Scholar
  12. Etienne-Manneville S, Hall A: Rho GTPases in cell biology. Nature. 2002, 420: 629-635. 10.1038/nature01148.View ArticleGoogle Scholar
  13. Yamazaki D, Kurisu S, Takenawa T: Regulation of cancer cell motility through actin reorganization. Cancer Sci. 2005, 96: 379-386. 10.1111/j.1349-7006.2005.00062.x.View ArticleGoogle Scholar
  14. Lin MT, Lin BR, Chang CC, Chu CY, Su HJ, Chen ST, Jeng YM, Kuo ML: IL-6 induces AGS gastric cancer cell invasion via activation of the c-Src/RhoA/ROCK signaling pathway. Int J Cancer. 2007, 120: 2600-2608. 10.1002/ijc.22599.View ArticleGoogle Scholar
  15. Yuan Z, Su J, You JF, Wang JL, Cui XL, Zheng J: Correlation of expression of RhoC with invasiveness of prostate cancer cell line PC-3M in vitro. Zhonghua Yi Xue Za Zhi. 2008, 88: 51-55.Google Scholar
  16. Benitah SA, Valeron PF, van Aelst L, Marshall CJ, Lacal JC: Rho GTPases in human cancer: an unresolved link to upstream and downstream transcriptional regulation. Biochim Biophys Acta. 2004, 1705: 121-132.Google Scholar
  17. Fiordalisi JJ, Keller PJ, Cox AD: PRL tyrosine phosphatases regulate rho family GTPases to promote invasion and motility. Cancer Res. 2006, 66: 3153-3161. 10.1158/0008-5472.CAN-05-3116.View ArticleGoogle Scholar
  18. Kusama T, Mukai M, Iwasaki T, Tatsuta M, Matsumoto Y, Akedo H, Inoue M, Nakamura H: 3-hydroxy-3-methylglutaryl-coenzyme a reductase inhibitors reduce human pancreatic cancer cell invasion and metastasis. Gastroenterology. 2002, 122: 308-317. 10.1053/gast.2002.31093.View ArticleGoogle Scholar
  19. Ikoma T, Takahashi T, Nagano S, Li YM, Ohon Y, Ando K, Fujiwara T, Fujiwara H, Kosai K: A definitive role of RhoC in metastasis of orthotopic lung cancer in mice. Clin Cancer Res. 2004, 10: 1192-1200. 10.1158/1078-0432.CCR-03-0275.View ArticleGoogle Scholar
  20. Wang W, Yang LY, Huang GW, Lu WQ, Yang ZL, Yang JQ, Liu HL: Genomic analysis reveals RhoC as a potential marker in hepatocellular carcinoma with poor prognosis. Br J Cancer. 2004, 90: 2349-2355.Google Scholar
  21. Faried A, Faried LS, Kimura H, Nakajima M, Sohda M, Miyazaki T, Kato H, Usman N, Kuwano H: RhoA and RhoC proteins promote both cell proliferation and cell invasion of human oesophagea lsquamous cell carcinoma cell lines in vitro and in vivo. Eur J Cancer. 2006, 42: 1455-1465. 10.1016/j.ejca.2006.02.012.View ArticleGoogle Scholar
  22. Clark EA, Golub TR, Lander ES, Hynes RO: Genomic analysis of metastasis reveals an essential role for RhoC. Nature. 2000, 406: 532-535. 10.1038/35020106.View ArticleGoogle Scholar
  23. Jemal A, Ward E, Hao Y, Thun M: Trends in the leading causes of death in the United States, 1970–2002. JAMA. 2005, 294: 1255-1259. 10.1001/jama.294.10.1255.View ArticleGoogle Scholar
  24. Nelson H, Petrelli N, Carlin A, Couture J, Fleshman J, Guillem J, Miedema B, Ota D, Sargent D: Guidelines 2000 for colon and rectal cancer surgery. J Natl Cancer Inst. 2001, 93: 583-596. 10.1093/jnci/93.8.583.View ArticleGoogle Scholar
  25. Hannon GJ: RNA interference. Nature. 2002, 418: 244-251. 10.1038/418244a.View ArticleGoogle Scholar
  26. Liu N, Bi F, Pan Y, Sun L, Xue Y, Shi Y, Yao X, Zheng Y, Fan D: Reversal of the Malignant Phenotype of Gastric Cancer Cells by Inhibition of RhoA Expression and Activity. Clinical Cancer Research. 2004, 10: 6239-6247. 10.1158/1078-0432.CCR-04-0242.View ArticleGoogle Scholar
  27. Shimada T, Nishimura Y, Nishiuma T, Rikitake Y, Hirase T, Yokoyama M: Adenoviral Transfer of Rho Family Proteins to Lung Cancer Cells Ameliorates Cell Proliferation and Motility and Increases Apoptotic Change. Kobe J Med Sci. 2007, 53: 125-134.Google Scholar
  28. Cheng TL, Teng CF, Tsai WH, Yeh CW, Wu MP, Hsu HC, Hung CF, Chang WT: Multitarget therapy of malignant cancers by the head-to-tail tandem array multiple shRNAs expression system. Cancer Gene Ther. 2009.Google Scholar
  29. Ren JH, Lin JS, Chang Y, Wu Y, Zhang YH, Zhang Q, He XX: The simultaneous knock-down of Ku70 and Ku80 by a tandem Ku-shRNA-encoding plasmid expression system. Zhonghua Gan Zang Bing Za Zhi. 2007, 15: 350-353.Google Scholar
  30. Lei YS, Zhang HZ, Wang LC, Guo LM, Fan QX, Zou CW, Li HX, Wang AB: Construction of vector tandem expressing rat ventricular myocyte Kir2.1 shRNA and its effect in vitro. Zhonghua Yi Xue Za Zhi. 2005, 85: 2910-2915.Google Scholar


© Liu et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.