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Reversal of multidrug resistance in renal cell carcinoma by short hairpin RNA targeting MDR1 gene HAO Yi-xin, HE Zheng-wen, ZHU Jian-hua, SHEN Qian, SUN Jun-zhong, DU Nan, XIAO Wen-hua Department of Oncology, The First Affiliated Hospital of the PLA General Hospital, Beijing 100048, China(Hao YX, Zhu JH, Sun JZ, Dun, Xi ao WH); Department of Laboratory Diagnosis, Changhai Hospital, The Second Military Medical University, Shanghai 200433, China(He ZW, Shen Q) Correspondence to: HAO Yi-xin, Department of Oncology, The First Affiliated Hospital of the PLA General Hospital, No.51, Fucheng Road, Haidian District, Beijing 100048, China(Email: [email protected]) Key words: multidrug resistance; P-glycoprotein; short hairpin RNA;renal cell carcinoma Abstract Background Over-expression of P-glycoprotein(P-gp), encoded by the MDR1 gene, confers multidrug resistance (MDR) in renal cell carcinoma (RCC) and is a major reason for unsuccessful chemotherapy. Recent developments on the inhibition usage of RNA interference (RNAi) to specific protein expression have highlighted the potential usage as therapeutic agents. Methods In this study, we have designed and selected one short hairpin RNA (shRNA) targeting MDR1 gene, which is stably expressed from integrated plasmid and transfected by lentivirus fluid in human RCC A498 cell. Results The MDR1-targeted RNAi resulted in decreased MDR1 gene mRNA level, almost abolished P-glycoprotein expression and reversed MDR to different chemotherapy drugs in the RCC A498 cell line. Conclusions These results demonstrated that MDR may be reversed by RNAi in human RCC A498 cell line, which may be used for clinical application in future. INTRODUCTION Renal cell carcinoma (RCC) accounts for 2-3% malignant carcinoma, of which the conventional type is clear cell type.1Surgical resection is the most effective treatment for organ-confined RCC, and combined therapy is made for progressed RCC. But RCC is not sensitive and resistant to multiple chemotherapeutic agents, which is known as multidrug resistance(MDR).2 In the treatment of malignant carcinoma, MDR is a common clinical problem and may occur in primary therapy (intrinsic)or be acquired during or after treatment.3 A number of mechanisms have been implicated in MDR generation, which includes reduced drug accumulation due to the over-expression of transport proteins, increased detoxification, altered targets such as reduced topoisomeraseI level and impaired apoptosis pathways. 4 One of the most widely studied aspects of MDR is the reduction of intracellular drug accumulation, in which P-glycoprotein(P-gp, MDR1) is the first identified and most widely studied. Over-expression of P-gp, the 170-kDa plasma membrane glycoprotein, has been implicated in both intrinsic and acquired multidrug resistance. And as one of the adenosine triphosphate(ATP)-binding cassette(ABC) transporter efflux pumps for cytotoxic drugs, P-gp presents in the proximal tubule cell of the normal kidney and also is important for the RCC. Experimental data supported that high P-gp mRNA level was detected in the RCC tissues and cell lines.5,6 And for a high P-gp expression rate of 30% to 89%, RCC usually display an intrinsically high degree of chemo-resistance leading to the failure of chemotherapeutic treatment.7,8 How can MDR be reversed? Drugs? Or others? Because of the severe side-effects, drugs for MDR reversal have been abandoned in clinical usage. Thought of the gene silencing effect, RNA interference (RNAi) for MDR reversal has been widely studied. So, the aim of this study was to determine the effect of RNAi on the expression of MDR1 gene and the reversal of MDR in human RCC. METHODS Chemicals and reagents pSIH1-H1-copGFP shRNA Vector was purchased from System Biosciences Inc. MiniBEST Plasmid Purification Kit Ver 2.0, Reverse Transcriptase M-MLV and Ribonuclease Inhibitor were purchased from Takara Company. Plasmid mini kit was purchased from Qiagen Inc and Lipofectamine TM 2000 was purchased from Invitrogen Corporation Company. UNIQ-10 column DNA gel extraction kit was purchased from Shanghai Sangon Biotech Inc. Construction of recombinant plasmid Targeting the MDR1 gene sequence (NM 000927), 3 small interfering RNA (siRNA) were designed using online software of the Invitrogen company: a)siRNA-1:5'-GACATGACCAGGTATGCCT-3' b)siRNA-2:5'-GGAGATAGGCTGGTTTGAT-3' c)siRNA-3: 5'-GCTGGAGCAGTAGCTGAAG-3'. In addition, a random siRNA sequence (siRNA-neg) was designed as negative control: 5'-CGTTTAACTCTCCCAACCA-3'. Then the corresponding single-strand DNA templates of short hairpin RNA (shRNA) were designed based on each siRNA sequence: the sense and anti-sense strands of siRNA were connected by a loop structure in the middle (5'-CTTCCTGTCAGA-3') and followed by a termination signal (TTTTT), BamH I and EcoR I restriction sites were respectively added at both 5' and 3' ends (synthesized by Shanghai Invitrogen Inc). The two single DNA strands were annealed and linearized by restriction enzyme digestion, linked to linearized vector and transformed into E. coli DH5α competent cells. Ampicillin-resistant single colon was picked for DNA sequence amplification and detection, and colonies with the correct sequence were used for large scale culture. Qiagen plasmid mini kit was used for endotoxin-free plasmid extraction, and agarose gel electrophoresis was performed to check the integrity of the plasmid DNA. UV spectrophotometry was applied to test the purity and concentration of the plasmid DNA. Transfection and culturation of cell Human renal clear cell carcinoma A498 cell line, purchased from the Cell Institute of Chinese Academy of Sciences, was seeded into 6-well plate. Cell concentration was adjusted to 1.6 × 106 / well in DMEM+10% fetal bovine serum medium, cultured at 37℃ under 5% CO2 for 24 hours. Upon 70% confluence of the attached cells, plasmid transfection was conducted following instructions of the Lipofectmaine2000 kit. Empty plasmid was used as control. MDR1 mRNA level detection 48h after transfection, MDR1 mRNA level of RCC A498 cell was detected. Total RNA was extracted and mixed with Oligo(dT)18 primer and RNase-free dH2O to make RNA/primer denaturation solution. The cDNA was synthesized through reverse transcription reaction, which was performed with Reverse Transcriptase M-MLV at 42℃ for 1 h and 70℃ for 15 min. Primers used for MDR1 cDNA amplification were fw: 5’-CCGTGGGGCAAGTCAGTTCA-3’and rev: 5’-CCGGTCGGGTGGGATAGTTG-3’. A house-keeping gene (β-actin) was amplified as internal control(fw: 5’-CCTGTACGCCAACACAGTGC-3’ and rev: 5’-ATACTCCTGCTTGCTGATCC-3’). Real-time PCR amplification cycling conditions for MDR1 and β-actin were as follows: initial enzyme activation at 95℃ for 10 min, followed by 40 cycles at 95℃ for 10 sec, 57℃ for 20 sec and 72℃ for 20 sec. Gene-specific fluorescence was measured at 85℃ and confirmed by melting curve analysis. For analysis, MDR1 mRNA level was evaluated by the fomula: MDR1/β-actin=2-[Ct(MDR1 )- Ct(β-actin)]. The RNA interference effect was calculated to select the most effective RNAi sequence through the gene inhibition rate. shRNA packaged by lentivirus 293T cells were plated into culture dishes, with cell concentration adjusted to 1.0 × 106/plate, and cultured in DMEM + 10% FBS medium for 24 h. 10μg lentiviral packaging plasmid and 2 μg recombinant shRNA plasmid were co-transfected into 293T cells. 48 h after co-transfection, culture supernatant was collected, centrifuged at 2,800 × g for 5 min, filtered through 0.45 μm PVDF membrane, then the virus particle concentration was adjusted to 1 × 105 pfu/μl. Establishment of RCC A498-RNAi cell line RCC A498 cells were seeded into 96-well plates, adjusted to 2 × 103 cells / well, and cultured in DMEM +10% FBS medium for 24 h before changed into fresh medium. 96 h after added by lentiviral packaging shRNA solution , attached RCC A498 cells reached confluence of above 90%. Then single cell suspension solution was prepared to be plated into 96-well plates. After culture for 48 h, 3 well cells with the strongest fluorescence expression were chosen for clone amplification. RT-PCR method was applied for detection of the MDR1 mRNA level to screen the cell clone with the most effective gene silencing rate, and to establish the stable shRNA expression RCC A498 cell line (RCC A498-RNAi cell line). Cryopreservation and recovery were repeated for three times and Western blot was performed to verify the P-gp expression level in this selected cell clone. Cell growth detection The cell growth state was detected in RCC A498-RNAi cell line and untransfected A498 cell line by the MTT assay method. Cells were plated into 96-well plates, adjusted to 4 × 103 cells / well, and cultured in DMEM + 10% FBS medium for 24 h before changing the culture medium. 10 μl MTT and 0.1 ml PBS were added and co-cultured with cells for 6 h at 37℃. After 0.1 ml acidified isopropanol were added into cells and fully dissolved, the optical density (OD) values were read at 570 nm using MultiSkan FC ELISA device. Then the cell growth curves of RCC A498-RNAi cell line and untransfected A498 cell line were constructed. Cytotoxicity studies The anti-proliferative effects of different chemotherapeutic drugs were assessed in RCC A498-RNAi cell line and untransfected A498 cell line by the MTT assay method. Cells were plated into 96-well plates, adjusted to 4 × 103 cells / well, and cultured in DMEM +10% FBS medium for 24 h before changing the culture medium. Gradient concentrations of different chemotherapeutic drugs (Table 1) were added into cell culture plates. After 24 h, 10μl MTT were added and co-cultured with cells for 6 h at 37℃. The optical density (OD) values, including the cells added with and without chemotherapeutic drugs, were read at 570 nm using MultiSkan FC ELISA device. IC50 values were calculated by the median effect equation. Data analysis Statistical comparisons between RCC A498 cell and RCC A498-RNAi cell line were performed using the Student’s t-test using SPSS 10.0 software. P< 0.05 was considered statistically significant. RESULTS MDR1 mRNA level in RCC A498-RNAi cell To confirm the most effective RNAi sequence, the MDR1 mRNA level was detected by real-time PCR method and repeated for 3 times in untransfected RCC A498 cell, RCC A498 cells transfected with empty vector and with different shRNA recombinant plasmids. As shown in Figure 1, almost all RCC A498 cells transfected with different MDR1-targeted RNAi recombinant plasmids expressed a lower level of MDR1 mRNA, compared to the RCC A498 cells untransfected and transfected with empty vector and random RNAi recombinant plasmid. And the shRNA-1 sequence had the highest interference efficiency (P = 0.001<0.01) in these three shRNA sequences. Establishment of RCC A498-RNAi cell line To produce the most effective RCC A498-RNAi cell line, shRNA-1 recombinant plasmid was packaged into lentivirus and the RCC A498 cells were infected by the lentiviral fluid. 96h after infection, RCC A498 cells were observed under microscope. The healthy RCC A498-RNAi cells were spindle-shaped, cytoplasm-enriched, close to 100% of green fluorescent protein expression and 90% of attached cells. Then single cell suspension solution was prepared and cloned. Three cell clones were selected of the strongest green fluorescent protein expression. Through detecting the MDR1 mRNA levels of these three cell clones, the cell clone-3 was selected with the highest RNA interference efficiency to construct stable RCC A498-RNAi cell line for the following experiments (Figure 2). MDR1 protein expression in stable RCC A498-RNAi cell The selected stable RCC A498-RNAi cell (clone-3) and control cell (RCC A498 cell transfected by random RNAi recombinant plasmid, clone-n)were repeatedly cryopreservated and recovered. Three generations of clone-3 and clone-n (P1,P2,P3) were randomly selected to be detected of the MDR1 protein expression level using grey values analysis of Western-blot detection results. As shown in Figure 3 and Table 2, MDR1 protein expression in stable RCC A498-RNAi cell line was significantly decreased (P<0.01). In addition, no significant difference in MDR1 protein expression level was identified among different generations in the same cell line (P = 0.959>0.01 for clone-n and P = 0.861>0.01 for clone-3). Cell growth state of stable RCC A498-RNAi cell and untransfected RCC A498 cell To confirm the growth state, the stable RCC A498-RNAi cell and untransfected RCC A498 cell were applied to analyze the growth curve using MTT assay method. As shown in Figure 4, the growth curve of stable RCC MDR1-RNAi A498 cell was almost consistent with that of the untransfected RCC A498 cell(P = 0.612> 0.05). IC50 of different chemotherapeutic drugs To confirm the reversal of MDR by MDR1 gene targeted RNAi, the stable RCC A498-RNAi cell and untransfected RCC A498 cell were applied to analyze the sensitivity to different chemotherapeutic drugs using MTT assay method. As shown in Table 3, the IC50 values of a variety of chemotherapeutic drugs were significantly different between the stable RCC A498-RNAi cell and untransfected RCC A498 cell. Compared to the untransfected RCC A498 cells, IC50 of stable RCC A498-RNAi cell was decreased 83.25% of vincristine(VCR) (P<0.01), 81.79% of paclitaxel(PTX) (P<0.01), 67.17% of gemcitabine(dFdC) (P<0.01), 71.73% of 5-fluororacil(5-FU) (P<0.01), 83.37% of cisplatin(DDP) (P<0.01), 79.67% of etoposide(VP-16) (P<0.01), 86.47% of cyclophosphamide(CTX) (P<0.01). But the IC50 for adriamycin (ADM) was not significantly different between the two cell lines (P = 0.087>0.05). DISCUSSION Multidrug resistance (MDR) includes intrinsic and acquired drug resistance, intrinsic drug resistance preexists in the naive tumor, acquired drug resistance is defined as the development of insensitivity to chemotherapeutic drugs to which previous sensitivity existed. The mechanisms of MDR include increased drug efflux or decreased influx by transporters, activation of detoxifying systems, activation of DNA repair systems and evasion of apoptosis, which may operate singly or in concert. Although several different mechanisms contribute to MDR in malignant carcinoma, the most widely studied mechanism is P-glycoprotein(P-gp), which is a member of the ATP-binding cassette (ABC) superfamily of active transporters and functions by effluxing drugs, reducing their intracellular concentrations and toxicity.9,10 RCC is widely known as one of the intrinsic and acquired MDR malignant carcinoma. Several studies have suggested that P-gp is highly associated with the MDR of RCC, and MDR1 mRNA is over-expressed and the degree of P-gp expression may correlate with tumor grade and resistance to chemotherapeutic drugs in RCC.11,12Many compounds for reversing MDR have been developed to modulate P-gp activity, such as dexverapamil, dexniguldipine or the cyclosporineD analogue PSC833, and so on. But these drugs have been difficult to be used in clinical therapy, because of their serious side effects.13 In recent years, many new methods of MDR reversal were developed, in which the RNAi is the most important and deeply studied. RNA interference (RNAi) is a conserved cellular mechanism where double-stranded RNA silences the corresponding homologous cellular gene.14 The mechanism of RNAi-triggered mRNA destruction represents a novel and powerful tool for the application in gene therapy of cancer. Two major discoveries have highlighted its potential application in gene therapy: the synthetic small interfering RNA (siRNA) resulted in efficient gene silencing, and short hairpin RNA (shRNA) expressed from RNA promoters within expression vectors.15-17 In MDR reversal, the modulation by transient expression of MDR1-targeted siRNA has been reported with the short duration and the partial reduction of P-gp.18,19 Stable expression of shRNA targeting MDR1 gene was extensively used for the more effective against P-gp from vector that permit sustained expression. Effective shRNA gene silencing with lentiviral vector has been demonstrated in cycling, primary immune, embryonic stem cells, and transgenic mice. 20,21 Then the lentiviral vector probably offer the most promise in future preclinical studies for gene therapy.22 In this study, the RCC A498 cell line was selected for the greater P-gp level and three different shRNAs targeting MDR1 gene were designed and synthesized, then the most effective shRNA of gene silencing was selected and recombined into the expression vector to be packed by lentivirus. As a result, the RCC A498-RNAi cell line was produced and the MDR1 mRNA level, P-gp exprsssion and IC50 of different drugs was examined. The effect of RNAi on MDR reversal was assessed by comparisons of IC50 values between the primary RCC A498 cell line and the RCC A498-RNAi cell line. In the RCC A498-RNAi cell, MDR1 mRNA level was highly reduced, P-gp expression was almost completely abolished and the IC50 was highly decreased. Thus, pronounced MDR reversal effect of MDR1-targeted RNAi could be expected by stable transfection of shRNA-containing expression vectors. This work presented the evidence for silencing MDR associated gene by shRNA in MDR RCC cell, which represents a novel approach for the treatment of RCC. The utilized MDR-targeted shRNA construct used in this study not only appear to be effective laboratory tool, but also have implications for the prevention and reversal of MDR to prolong the survival time in certain cases by gene therapeutic approaches. The only unsuccessful reversal of ADM resistance suggested that other mechanisms of MDR existed in RCC, but the main MDR-associated gene is still the MDR1. But it is important to note that the MDR cell line used in this study is highly resistant to multidrug and exhibit an enormously enhanced MDR1 mRNA expression level. But in the clinical situation, a two-fold or three-fold increased resistance level is already suffcient to inhibit a successful antineoplastic drug-based cancer therapy. And it is not known whether the RNAi is same effective in clinical condition. Additional problems may arise by the physiological expression of P-gp in several epithelial and endothelial cells, suggesting that P-gp plays an important role in the blood barrier and is crucial for limiting the potential toxicity of many drugs. So for clinical usage, many problems have to be solved, e.g. delivery of shRNA, specific for cancer cells and effective sustained gene silencing. Acknowledgements We would like to thank Dr Zhang Jun and Dr Sun Jun-zhong and Dr Du Nan for their assistance in this study. References 1.Vogelzang NJ, Stadler WM. Kidney cancer. Lancet 1998; 352: 1691-1696. 2.Motzer RJ, Russo P. Systemic therapy for renal cell carcinoma. J Urol 2000; 163: 408-417. 3.Fojo AT, Ueda K, Slamon DJ, Poplack DG, Gottesman MM, Pastan I. Expression of a multidrugresistance gene in human tumors and tissues. Proc Natl Acad Sci USA 1987; 84: 265-269. 4.Baird RD, Kaye SB. Drug resistance reversal--are we getting closer? Eur J Cancer 2003; 39: 2450-2461. 5.Wu L, Smythe AM, Stinson SF. Multidrug-resistant phenotype of disease-oriented panels of human tumor cell lines used for anticancer drug screening. Cancer Res 1992; 52: 3029-3034. 6.Alvarez M, Paull K, Monks A, Hose C, Lee JS, Weinstein J, et al. Generation of a drug resistance profile by quantitation of mdr-1/P-glycoprotein in the cell lines of the National Cancer Institute anticancer drug screen. J Clin Invest 1995; 95: 2205-2214. 7.Mickisch GH, Kössig J, Keilhauer G, Schlick E, Tschada RK, Alken PM. Effects of calcium antagonists in multidrug resistant primary human renal cell carcinomas. Cancer Res 1990; 50: 3670-3674. 8.Mickisch GH, Roehrich K, Koessig J, Forster S, Tschada RK, Alken PM. Mechanisms and modulation of multidrug resistance in primary human renal cell carcinoma. J Urol 1990; 144: 755-759. 9.Lehnert, M. Multidrug resistance in human cancer. J Neurooncol 1994; 22: 239-243. 10.Naito S, Sakamoto N, Kotoh S, Goto K, Matsumoto T, Kumazawa J. Expression of P-glycoprotein and multidrug resistance in renal cell carcinoma. Eur Uro 1993; l24: 156-160. 11.Rochlitz CF, Lobeck H, Peter S, Reuter J, Mohr B, de Kant E, et al. Multiple drug resistance gene expression in human renal cell cancer is associated with the histologic subtype. Cancer 1992; 69: 2993-2998. 12.Kanamaru H, Kakehi Y, Yoshida O, Nakanishi S, Pastan I, Gottesman MM. MDR1 RNA levels in human renal cell carcinomas: correlation with grade and prediction of reversal of doxorubicin resistance by quinidine in tumor explants. J Natl Cancer Inst 1989; 81: 844-849. 13.Gottesman MM, Fojo T, Bates SE. Multidrug resistance in cancer: role of ATP-dependent transporters. Nat Rev Cancer 2002; 2: 48–58. 14.Hannon GJ. RNA interference. Nature 2002; 418: 244–251. 15.Elbashir SM, Lendeckel W, Tuschl T. RNA interference is mediated by 21- and 22-nucleotide RNAs. Genes Dev 2001; 15: 188–200. 16.Brummelkamp TR, Bernards R, Agami R. A system for stable expression of short interfering RNAs in mammalian cells. Science 2002; 296: 550–553. 17.An DS, Xie Y, Mao SH, Morizono K, Kung SK, Chen IS. Efficient lentiviral vectors for short hairpin RNA delivery into human cells. Hum Gene Ther 2003; 14: 1207–1212. 18.Wu H, Hait WN, Yang JM. Small interfering RNA-induced suppression of MDR1 (P-glycoprotein) restores sensitivity to multidrug-resistant cancer cells. Cancer Res 2003; 63: 1515–1519. 19.Nieth C, Priebsch A, Stege A, Lage H. Modulation of the classical multidrug resistance (MDR) phenotype by RNA interference (RNAi). FEBS Lett 2003; 545: 144–150. 20.Rubinson DA, Dillon CP, Kwiatkowski AV, Sievers C, Yang L, Kopinja J, et al. A lentivirus-based system to functionally silence genes in primary mammalian cells, stem cells and transgenic mice by RNA interference. Nat Genet 2003; 33: 401–406. 21.Stewart SA, Dykxhoorn DM, Palliser D, Mizuno H, Yu EY, An DS, et al. Lentivirus-delivered stable gene silencing by RNAi in primary cells. RNA 2003; 9: 493–501. 22.Abbas-Terki T, Blanco-Bose W, Deglon N, Pralong W, Aebischer P. Lentiviral-mediated RNA interference. Hum Gene Ther 2002; 13: 2197–2201. Table 1. The gradient concentrations of different chemotherapeutic drugs for IC50 detection Drugs Cells VCR RCC A498 cell 32 16 8 4 2 1 RCC A498-RNAi cell 3.2 1.6 0.8 0.4 0.2 0.1 RCC A498 cell 32 16 8 4 2 1 RCC A498-RNAi cell 3.2 1.6 0.8 0.4 0.2 0.1 RCC A498 cell 128 64 32 16 8 4 RCC A498-RNAi cell 64 32 16 8 4 2 RCC A498 cell 32 16 8 4 2 1 RCC A498-RNAi cell 3.2 1.6 0.8 0.4 0.2 0.1 RCC A498 cell 32 16 8 4 2 1 RCC A498-RNAi cell 3.2 1.6 0.8 0.4 0.2 0.1 RCC A498 cell 160 80 40 20 10 1 RCC A498-RNAi cell 32 16 8 4 2 1 RCC A498 cell 32 16 8 4 2 1 RCC A498-RNAi cell 3.2 1.6 0.8 0.4 0.2 0.1 RCC A498 cell 3.2 1.6 0.8 0.4 0.2 0.1 RCC A498-RNAi cell 3.2 1.6 0.8 0.4 0.2 0.1 PTX dFdC 5-Fu DDP VP-16 CTX ADM Final drug concentration in the well (mg/l) VCR: vincristine, PTX: paclitaxel, dFdC: gemcitabine, 5-FU: 5-fluororacil, DDP: cisplatin, VP-16: etoposideM, CTX: cyclophosphamide, ADM: adriamycin Table 2. Grey value of MDR1 protein expression in stable RCC A498- RNAi cell line of different generations MDR-1 GAPDH MDR-1/GAPDH Clone-n-P1 269915.41 293110.37 0.92 Clone-n-P2 271650.75 305865.52 0.89 Clone-n-P3 244334.83 310140.43 0.79 X±S 0.87±0.07 P 0.959 Clone-3-P1 84454.97 313988.34 0.27 Clone-3-P2 82177.86 311669.38 0.26 Clone-3-P3 71886.01 319119.11 0.23 X±S 0.25±0.02 P 0.861 t 14.480 P 0.000 The clone-3 is the stable RCC A498-RNAi cell and clone-n is the RCC A498 cell trandfected by shRNA-neg. Both of these cell lines were repeatedly cryopreservated and recovered. Three generations of clone-3 and clone-n (P1,P2,P3) were randomly selected to be detected of the MDR1 protein expression level using grey values analysis of WB results. Table 3. IC50 values of different chemotherapeutic drugs in different RNAi cells Drugs VCR PTX dFdC 5-Fu DDP VP-16 CTX ADM (mg/l) (mg/l) (mg/l) (mg/l) (mg/l) (mg/l) (mg/l) (mg/l) 6.14±0.60 5.38±0.12 48.42±1.10 6.40±1.17 5.76±0.40 46.88±0.29 7.24±0.54 1.09±0.21 1.03±0.13 0.98±0.10 15.89±0.59 1.81±0.20 0.96±0.12 9.53±0.75 0.98±0.05 0.80±0.08 83.25 81.79 67.17 71.73 83.37 79.67 86.47 26.40 t 14.405 49.759 45.151 6.710 19.889 81.056 20.059 2.253 P 0.000 0.000 0.000 0.003 0.000 0.000 0.002 0.087 Cells RCC A498 cell RCC A498-RNAi cell decreased rate % IC50 values of different chemotherapeutic drugs in stable RCC A498- RNAi cell and untransfected RCC A498 cell were detected by MTT method and repeated for 3 times. The average values were calculated and shown in this table. Statistical comparisons were performed using the Student’s t-test. P< 0.05 was considered statistically significant. MDR1/β-actin 0.6 0.5 0.4 0.3 0.2 0.1 0 untransfected transfected by vector transfected by shRNA-neg transfected by shRNA-1 transfected by shRNA-2 transfected by shRNA-3 Figure 1. MDR1 mRNA levels in different RCC A498 cells were detected by real-time PCR method and repeated for 3 times. The average values were calculated and shown in this plot.And the shRNA-1 sequence had the highest interference efficiency in these three shRNA sequences. MDR1/β-actin 0.6 0.5 0.4 0.3 0.2 0.1 0 untransfected transfected by shRNA-neg transfected by shRNA-1 clone-1 transfected by shRNA-1 clone-2 transfected by shRNA-1 clone-3 Figure 2. MDR1 mRNA levels in different RCC A498 cell clones were detected by real-time PCR method and repeated for 3 times. The average values were calculated and shown in this plot. The cell clone-3 had the highest RNA interference efficiency. Clone-n-P1 Clone-n-P2 Clone-n-P3 Clone-3-P1 Clone-3-P2 Clone-3-P3 MDR1→ GAPDH→ Figure 3. WB of MDR1 protein in stable RCC A498-RNAi cell line of different generations. The clone-3 is the selected stable RCC A498-RNAi cell and clone-n is the RCC A498 cell trandfected by shRNA-neg. Both of these cell lines were repeatedly cryopreservated and recovered. Three generations of clone-3 and clone-n (P1,P2,P3) were randomly selected to be detected of the MDR1 protein using WB. GAPDH is the internal control. OD(570-630) 0.7 0.6 0.5 A498 cell 0.4 A498-RNAi cell 0.3 0.2 0.1 0 0h 24h 48h 72h 96h 120h 144h Figure 4. Growth curves of the stable RCC A498-RNAi cell and untransfected RCC A498 cell were constructed according to the OD values using MTT assay method.