Silencing of ECHDC1 inhibits growth of gemcitabine‑resistant bladder cancer cells

  • Authors:
    • Seiji Asai
    • Noriyoshi Miura
    • Yuichiro Sawada
    • Terutaka Noda
    • Tadahiko Kikugawa
    • Nozomu Tanji
    • Takashi Saika
  • View Affiliations

  • Published online on: October 26, 2017
  • Pages: 522-527
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Combined gemcitabine and cisplatin (GC) treatment is a first line chemotherapy for bladder cancer. However, acquired resistance to GC has been a major problem. To address the mechanism of gemcitabine resistance, and to identify potential biomarkers or target proteins for its therapy, we aimed to identify candidate proteins associated with gemcitabine resistance using proteomic analysis. We established gemcitabine‑resistant human bladder cancer cell lines (UMUC3GR and HT1376GR) from gemcitabine‑sensitive human bladder cancer cell lines (UMUC3 and HT1376). We compared the protein expression of parental and gemcitabine‑resistant cell lines using isobaric tags for relative and absolute quantification (iTRAQ) and liquid chromatography tandem mass spectrometry. Among the identified proteins, ethylmalonyl‑CoA decarboxylase (ECHDC1) expression was significantly increased in both of the gemcitabine‑resistant cell lines compared to the respective parental cell lines. Silencing of ECHDC1 reduced ECHDC1 expression and significantly inhibited the proliferation of UMUC3GR cells. Furthermore, silencing of ECHDC1 induced upregulation of p27, which is critical for cell cycle arrest in the G1 phase, and induced G1 arrest. In conclusion, ECHDC1 expression is increased in gemcitabine‑resistant bladder cancer cells, and is involved in their cell growth. ECHDC1, which is a metabolite proofreading enzyme, may be a novel potential target for gemcitabine‑resistant bladder cancer therapy.


Worldwide, there were 429,800 new cases of and 165,100 deaths due to bladder cancer in 2012 (1). Gemcitabine (2′,2′-difluoro-2′-deoxycytidine) is an important drug for treating cancers including bladder cancer. The combination of gemcitabine and cisplatin (GC) has been standard chemotherapy for metastatic bladder cancer and for muscle invasive bladder cancer as a neoadjuvant chemotherapy. GC is effective for about half of patients with advanced or metastatic bladder cancer. In a phase III study (2), the response rate was 49%. In our hospital, the response rate for GC was reported as 44% (3). However, the many of these patients later developed progressive disease.

Biomarkers associated with and molecular mechanism of gemcitabine resistance acquisition in bladder cancer are not fully understood. It is possible that a protein that is more highly expressed in gemcitabine-resistant bladder cancer may be a gemcitabine-resistant biomarker or therapeutic target. Proteomic analysis is an ideal method for identification of such a protein and indeed, in recent years, proteins associated with chemoresistance have been successfully identified using proteomic analysis (46). Here, we used the method of isobaric tags for relative and absolute quantification (iTRAQ method), which can compare the protein levels of more than three samples in proteomic analysis (7).

In the present study, to identify a protein associated with gemcitabine resistance, we established gemcitabine-resistant human bladder cancer cell lines (UMUC3GR, HT1376GR) that we derived from human bladder cancer cell lines (UMUC3 and HT1376). We analyzed these cell lines at the protein level using the iTRAQ method, liquid chromatography, and tandem mass spectrometry (MS/MS). In addition, we further analyzed a protein that was found to be more highly expressed in gemcitabine-resistant cell lines, using biochemical and molecular biological techniques.

Materials and methods

Cell culture

The human bladder cancer cell lines, UMUC3 and HT1376, which were used in this study, were purchased from DS Pharma Biomedical (Osaka, Japan). UMUC3 cells were maintained in minimum essential medium (MEM) supplemented with MEM non-essential amino acids (NEAA) and sodium pyruvate (Gibco, St. Louis, MO, USA). HT1376 cells were maintained in RPMI-1640 medium (Wako, Osaka, Japan). Both media were supplemented with 10% FBS (Sigma-Aldrich, St. Louis, MO, USA). The cells were incubated in a humidified incubator at 37°C in an atmosphere of 5% CO2 and 95% air. Each gemcitabine-resistant cell line (GR) was obtained from the parental UMUC3 or HT1376 cells.

The UMUC3 and HT1376 cells were grown in cell culture media containing gemcitabine (Wako), starting with a concentration of 10-2 µM. The cells were then passaged through stepwise increasing concentrations of gemcitabine up to a concentration of 50 µM. The cells were repeatedly passaged at each gemcitabine concentration in the stepwise gradient.

iTRAQ proteomic analysis with Liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis. The four human bladder cancer cell lines HT1376, HT1376GR, UMUC3, and UMUC3GR were each grown to 80% confluency, following which the cellular proteins were extracted using Mammalian Protein Extraction Reagents (M-PER; Thermo Fisher Scientific, Inc., Waltham, MA, USA). Protein concentration was determined using the BCA protein assay kit (Thermo Fisher Scientific, Inc.). The protein concentration of the cellular lysate was adjusted to a concentration of 1 µg/µl using dissolution buffer. Each sample was digested with 1 µg/µl trypsin solution (AB SCIEX, Framingham, MA, USA) at 37°C for 24 h and was then desalted. Peptide samples from each of the cell lines were labelled using the iTRAQ® Reagent-multiple Assay kit (AB SCIEX) as follows: HT1376 with the 116 tag, HT1376GR with the 117 tag, UMUC3 with the 118 tag, and UMUC3GR with the 119 tag. All samples were mixed and fractionated using strong cation exchange chromatography (SCX) with a Cation Exchange Buffer Pack (AB SCIEX). The peptide sample from each SCX fraction was enriched using a trap column (HiQ sil C18; KYA Technologies, Tokyo, Japan) and was then separated on an electrospray ionization (ESI) column (HiQ sil C18P-3; KYA Technologies, Tokyo, Japan) at a flow rate of 150 nl/min. MS/MS analysis of peptide samples was carried out using the Triple TOF™ 5600 system (AB SCIEX) interfaced with the DiNa system (LC) (KYA Technologies, Tokyo, Japan).

MS and MS/MS data searches were carried out using ProteinPilot™ software 4.5 (AB SCIEX). Searches used the UniProtKB ( database. The false discovery rate (FDR) was calculated and high-confidence protein identifications were obtained by using a Global FDR from Fit 1.0% at the peptide level. Quantitative estimates provided for each protein by ProteinPilot were utilized: the fold change ratios of differential expression between labeled protein extracts, and the P-value representing the probability that the observed ratio is different than 1 by chance. We selected 1.5-fold-change as a cutoff to classify upregulated proteins.

Western blot analysis

Cells were lysed with cell lysis buffer containing phenylmethanesulfonyl fluoride (Cell Signaling Technology, Inc., Danvers, MA, USA) and protease inhibitor cocktails (Sigma-Aldrich). Samples were centrifuged at 14,000 × g for 10 min at 4°C, and supernatants were electrophoresed on sodium dodecyl sulfate-polyacrylamide gels and transferred to polyvinylidene difluoride membranes (Millipore, Bedford, MA, USA). After blocking with 5% skimmed milk, the membranes were probed with primary antibodies against β-actin, p27 (Cell Signaling Technology, Inc.) and ethylmalony-CoA decarboxylase (ECHDC1, Abcam) overnight at 4°C, followed by horseradish peroxidase-conjugated secondary antibody (Cell Signaling Technology, Inc.) for 1 h at room temperature. The immune complexes were visualized with the Enhanced Chemiluminescence Plus detection system (GE Healthcare, Piscataway, NJ, USA) according to the manufacturer's instructions. The signal was quantified using ImageJ and normalized to that of β-actin.


Cells were seeded in an 8-well chamber slide (Thermo Fisher Scientific, Inc.) and incubated for 24 h. The cells were fixed with 4% paraformaldehyde followed by blocking with 1% bovine serum albumin. The cells were incubated with an anti-ECHDC1 antibody (Santa Cruz Biotechnology, Dallas, TX, USA) for 1 h. Thereafter, they were incubated with fluorescein isothiocyanate-conjugated secondary antibody (Jackson ImmunoResearch Laboratories, West Grove, PA, USA) for 30 min. Hoechst 33342 (Invitrogen Life Technologies, Carlsbad, CA, USA) was used for nuclear staining. Fluorescence was photographed using a BZ9000 Fluorescence microscope (Keyence Corporation, Osaka, Japan).


Silencer Select Negative control #1 siRNA (Life Technologies Corp., Carlsbad, CA, USA) or Silencer Select ECHDC1: Ethylmalonyl-CoA decarboxylase1 siRNA (s229273; Life Technologies Corp.) was added to the adherent cells at a final concentration of 5 nM using Lipofectamine® RNAiMAX (Invitrogen Life Technologies) as the transfection reagent for 24 h.

Drug cytotoxicity analysis and real time analysis of cell proliferation

Cells were seeded in 96-well plates at a density of 3×103 cells/well and were cultured with graded concentrations of gemcitabine in at least three replicate wells at 37°C. At 72 h after gemcitabine exposure, the relative effect of gemcitabine on the proliferation of each cell line was assessed by using the Cell Counting kit-8 (CCK-8: Dojindo, Kumamoto, japan). Absorbance at 450 nm was determined using a spectrophotometer (Thermo Scientific Multiskan FC; Thermo Fischer Scientific, Inc.). The absorbance of cells not treated with gemcitabine was considered to be 100%.

Real-time analysis of cell proliferation was performed using impedance measurement with the xCELLigence system. Cell proliferation (Cell Index) was checked using the xCELLigence Real-Time Cell Analyzer (RTCA) instrument according to the instructions of the supplier (Roche Applied Science and ACEA Biosciences, San Diego, CA, USA). This system has been extensively used in other studies (8,9). The xCELLigence system can quantify the electrical impedance across electrodes at the bottom of each well of the tissue culture plates. Impedance changes reflect cell numbers, and cell viability is expressed as Cell Index values. Cells were seeded at a density of 8×103 cells/well in a specialized 8-well plate (E-plate) used with the RTCA instrument. After leaving the E-plates at room temperature for 30 min to allow for cell attachment, they were locked into the RTCA xCELLigence instrument and the experiment was allowed to run for 96 h at 37°C. Cell Index values were recorded at 15 min interval sweeps until the end of the experiment. We normalized the Cell Index at 24 h after seeding the cells.

Cell cycle analysis

Cells were collected using Accutase (Innovative Cell Technologies, San Diego, CA, USA). Cell cycle analysis was performed using the CycleTest Plus DNA reagent kit (BD Biosciences, San Jose, CA, USA). The data were analyzed using ModFitLT (Verity software House, Topsham, ME, USA) to generate percentages of cells in G0/G1, S and G2/M phases. At least 18,000 cells were analyzed in each experiment.

Statistical analysis

Quantitative data are expressed as means ± standard deviation (SD). Statistical significance was assessed using Student's t-test. P<0.05 was considered to indicate a statistically significant difference.


Establishment of gemcitabine-resistant bladder cancer cell lines

The cytotoxicity of gemcitabine towards the four human bladder cancer cell lines HT1376, HT1376GR, UMUC3, and UMUC3GR was examined. Analysis of cell viability using CCK-8 indicated that, while the parental cell lines showed a dose-dependent sensitivity to gemcitabine, the HT1376GR and UMUC3GR cell lines derived from them had acquired gemcitabine resistance (Fig. 1A and B).

Identification of proteins involved in gemcitabine resistance using iTRAQ proteomic analysis

A total of 3,930 proteins were identified in the cell lines using iTRAQ proteomic analysis. Of these proteins, the expression of several proteins was increased more than 1.5-fold in the gemcitabine-resistant cells (UMUC3GR and HT1376GR), compared to the corresponding gemcitabine-sensitive parental cells (UMUC3 and HT1376). Only expression of the ECHDC1 protein was significantly increased (P<0.05) in both of the gemcitabine-resistant cell lines (Table I).

Table I.

Proteins with increased expression in gemcitabine-resistant cells identified using iTRAQ proteomic analysis.

Table I.

Proteins with increased expression in gemcitabine-resistant cells identified using iTRAQ proteomic analysis.

Protein nameGeneFold-change HT1376GR/HT1376P-valueFold-change UMUC3GR/UMUC3P-value%Cov(95)Accession number
Ethylmalonyl-CoA decarboxylaseECHDC11.6740.0343.5930.00042.00sp|Q9NTX5
Integrin α-2ITGA23.3560.3591.7780.20523.60sp|P17301
Vasodilator-stimulated phosphoproteinVASP3.6450.0491.6090.13115.50sp|P50552
Isoform 2 of Cleavage stimulation factor subunit 2CSTF21.8980.2641.9130.18012.90sp|P33240-2
Scaffold attachment factor B2SAFB21.5510.0391.5960.39813.60sp|Q14151
Serine incorporator 1SERINC12.4750.1391.5930.286  6.60sp|Q9NRX5
Histone deacetylase 3HDAC31.9700.3632.2250.084  5.40sp|O15379
ATP-dependent RNA helicase SUPV3L1SUPV3L12.1340.2811.7050.121  3.20sp|Q8IYB8
Western blotting and immunofluorescence analysis of ECHDC1 protein expression in gemcitabine-resistant cells

Western blotting of the four cell lines confirmed a strong increase in ECHDC1 protein levels (34 kDa) in the gemcitabine-resistant cells, UMUC3GR and HT1376GR, compared with its expression in the respective parental UMUC3 and HT1376 cell lines (Fig. 2A). Immunofluorescence analysis also resulted in a much stronger cytoplasmic ECHDC1 protein signal in UMUC3GR cells than in the UMUC parental cells (Fig. 2B).

Silencing of ECHDC1 significantly inhibited cell proliferation in UMUC3GR cells

To examine the functional role of the ECHDC1 protein in bladder cancer cells, we knocked down ECHDC1 in UMUC3GR cells using siRNA. We confirmed using western blotting that ECHDC1 protein expression was significantly reduced in cells transfected with ECHDC1-siRNA compared with cells transfected with control siRNA (Fig. 3). We then determined the effect of ECHDC1 silencing on cell proliferation in vitro. RTCA analysis showed that the proliferation of bladder cancer cells was significantly inhibited (P<0.05) by silencing of ECHDC1 compared to cells transfected with control siRNA (Fig. 4).

Knockdown of ECHDC1 induced G0/G1 phase cell cycle arrest and upregulation of p27

To investigate the mechanism of the anti-proliferative effect of knockdown of ECHDC1 on UMUC3GR cells, we measured the percentage of the cells in different cell cycle phases using flow cytometry with propidium iodide (PI) staining at 48 h after transfection with siRNA against ECHDC1 or with control siRNA. Knockdown of ECHDC1 induced significantly higher accumulation of cells in the G0/G1-phase cell compared with the control (P<0.05). Thus, the percentage of G0/G1 phase cells was increased from 43.5% in the control to 60.2% in the knockdown cells, and the percentage of S phase cells was decreased from 38.8 to 27.0% (Fig. 5). To investigate the molecular basis of these changes, we analyzed the expression of proteins involved in cell cycle regulation. Western blotting indicated that expression of the p27 protein (27 kDa), which is critical for cell cycle arrest in the G1 phase, was increased in ECHDC1 knockdown cells compared to the control cells (Fig. 3).


iTRAQ proteomic analysis has been shown to be a useful technique for investigation of chemoresistant factors in cancer (6,10). We therefore used iTRAQ proteomic analysis to identify proteins associated with gemcitabine resistance by comparing the expression of proteins in two gemcitabine-resistant cell lines (UMUC3GR, HT1376GR) with that of the two parental gemcitabine-sensitive cell lines (UMUC3, HT1376). This analysis showed that expression of the ECHDC1 protein was significantly increased in both of the gemcitabine-resistant cell lines compared to the parental cells.

ECHDC1 has been identified as a new metabolite proofreading enzyme, ethylmalonyl-CoA decarboxylase (11,12). It is localized mainly in the cytosol and corrects a side activity of acetyl-CoA carboxylase. Acetyl-CoA carboxylase synthesizes malonyl-CoA from acetyl-CoA, and malonyl-CoA then feeds into the de novo fatty acid synthesis pathway (13). However, Acetyl-CoA carboxylase displays a lack of substrate specificity, and it is also able to synthesize methylmalonyl-CoA and ethylmalonyl-CoA (1416). Ethylmalonyl-CoA could perturb lipid synthesis by trapping CoA and inhibiting fatty acid synthesis, leading to the formation of abnormal ethyl-branched fatty acids due to its structural similarity with malonyl-CoA. Ethylmalonyl-CoA decarboxylase (ECHDC1) can eliminate ethylmalonyl-CoA by converting it to butyryl-CoA (11).

We observed that silencing of ECHDC1 significantly inhibited bladder cancer cell proliferation. This is the first report to identify a function for ECHDC1 in cancer. The ECHDC1 gene is included in a novel breast cancer risk locus on 6q22.33 that was identified in a genome-wide association study (17). However, the mechanism of induced cancer risk is unknown. In human cells, silencing of ECHDC1 decreased ethylmalonyl-CoA decarboxylase activity and increased the formation of ethylmalonic acid (EMA) (11). EMA induces oxidative stress in skeletal muscle and in the cerebral cortex (18,19). Human cancer cells are more sensitive to oxidative stress, which inhibits cell proliferation (20). Oxidative stress regulates the intracellular level of p27 (21). The p27 protein is a member of the Cip/Kip family of cyclin-dependent kinase inhibitors that bind to cyclin/CDK complexes and inhibit their activities. p27 arrests the cell cycle in the G1 phase (2224). In agreement with these reports, we observed increased p27 expression and G1 arrest in bladder cancer cells in which ECHDC1 was silenced.

The limitation of this study is that we could not identify the detailed mechanism by which gemcitabine increased ECHDC1 and by which reduction of ECHDC1 inhibited the growth of bladder cancer cells. Accumulation of EMA or perturbation of lipid synthesis by decreasing ethylmalonyl-CoA decarboxylase activity may be the cause. Further studies including animal or clinical specimens are required to understand the role of ECHDC1 in cancer.

In conclusion, ECHDC1 was increased in gemcitabine-resistant bladder cancer cells and silencing of ECHDC1 inhibited cell proliferation. The present study suggested that gemcitabine may have induced ECHDC1 expression and that ECHDC1 may be a novel potential target for development of gemcitabine-resistant bladder cancer treatment.

This article does not contain any studies with human participants or animals performed by any of the authors.


We thank Kenji Kameda (Integrated center for sciences) and Kazumi Kanno, Izumi Tanimoto, and Maria Mori for their excellent technical assistance.



Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J and Jemal A: Global Cancer Statistics, 2012. CA Cancer J Clin. 65:87–108. 2015. View Article : Google Scholar : PubMed/NCBI


von der Maase H, Hansen SW, Roberts JT, Dogliotti L, Oliver T, Moore MJ, Bodrogi I, Albers P, Knuth A, Lippert CM, et al: Gemcitabine and cisplatin versus methotrexate, vinblastine, doxorubicin, and cisplatin in advanced or metastatic bladder cancer: Results of a large, randomized, multinational, multicenter, phase III study. J Clin Oncol. 18:3068–3077. 2000. View Article : Google Scholar : PubMed/NCBI


Tanji N, Ozawa A, Miura N, Yanagihara Y, Sasaki T, Nishida T, Kikugawa T, Ikeda T, Ochi T, Shimamoto K, et al: Long-term results of combined chemotherapy with gemcitabine and cisplatin for metastatic urothelial carcinomas. Int J Clin Oncol. 15:369–375. 2010. View Article : Google Scholar : PubMed/NCBI


Lee DH, Chung K, Song JA, Kim TH, Kang H, Huh JH, Jung SG, Ko JJ and An HJ: Proteomic identification of paclitaxel-resistance associated hnRNP A2 and GDI 2 proteins in human ovarian cancer cells. J Proteome Res. 9:5668–5676. 2010. View Article : Google Scholar : PubMed/NCBI


Sun QL, Sha HF, Yang XH, Bao GL, Lu J and Xie YY: Comparative proteomic analysis of paclitaxel sensitive A549 lung adenocarcinoma cell line and its resistant counterpart A549-Taxol. J Cancer Res Clin Oncol. 137:521–532. 2011. View Article : Google Scholar : PubMed/NCBI


Nishimura K, Tsuchiya Y, Okamoto H, Ijichi K, Gosho M, Fukayama M, Yoshikawa K, Ueda H, Bradford CR, Carey TE and Ogawa T: Identification of chemoresistant factors by protein expression analysis with iTRAQ for head and neck carcinoma. Br J Cancer. 111:799–806. 2014. View Article : Google Scholar : PubMed/NCBI


Ross PL, Huang YN, Marchese JN, Williamson B, Parker K, Hattan S, Khainovski N, Pillai S, Dey S, Daniels S, et al: Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Mol Cell Proteomics. 3:1154–1169. 2004. View Article : Google Scholar : PubMed/NCBI


Bang D, Wilson W, Ryan M, Yeh JJ and Baldwin AS: GSK-3α promotes oncogenic KRAS function in pancreatic cancer via TAK1-TAB stabilization and regulation of noncanonical NF-κB. Cancer Discov. 3:690–703. 2013. View Article : Google Scholar : PubMed/NCBI


Weiler M, Blaes J, Pusch S, Sahm F, Czabanka M, Luger S, Bunse L, Solecki G, Eichwald V, Jugold M, et al: mTOR target NDRG1 confers MGMT-dependent resistance to alkylating chemotherapy. Proc Natl Acad Sci USA. 111:pp. 409–414. 2014; View Article : Google Scholar : PubMed/NCBI


Yang Y, Chen Y, Saha MN, Chen J, Evans K, Qiu L, Reece D, Chen GA and Chang H: Targeting phospho-MARCKS overcomes drug-resistance and induces antitumor activity in preclinical models of multiple myeloma. Leukemia. 29:715–726. 2015. View Article : Google Scholar : PubMed/NCBI


Linster CL, Noël G, Stroobant V, Vertommen D, Vincent MF, Bommer GT, Veiga-da-Cunha M and Van Schaftingen E: Ethylmalonyl-CoA decarboxylase, a new enzyme involved in metabolite proofreading. J Biol Chem. 286:42992–43003. 2011. View Article : Google Scholar : PubMed/NCBI


Van Schaftingen E, Rzem R, Marbaix A, Collard F, Veiga-da-Cunha M and Linster CL: Metabolite proofreading, a neglected aspect of intermediary metabolism. J Inherit Metab Dis. 3:427–434. 2013. View Article : Google Scholar


Mounier C, Bouraoui L and Rassart E: Lipogenesis in cancer progression (Review). Int J Oncol. 45:485–492. 2014.PubMed/NCBI


Bettey M, Ireland RJ and Smith AM: Purification and characterization of acetyl CoA carboxylase from developing pea embryos. J Plant Physiol. 140:513–520. 1992. View Article : Google Scholar


Miller AL and Levy HR: Acetyl-CoA carboxylase from rat mammary gland. EC acetyl-CoA: Carbon dioxide ligase (ADP). Methods Enzymol. 35:11–17. 1975. View Article : Google Scholar : PubMed/NCBI


Waite M and Wakil SJ: Studies on the mechanism of fatty acid synthesis: XII. Acetyl coenzyme A carboxylase. J Biol Chem. 237:2750–2757. 1962.PubMed/NCBI


Gold B, Kirchhoff T, Stefanov S, Lautenberger J, Viale A, Garber J, Friedman E, Narod S, Olshen AB, Gregersen P, et al: Genome-wide association study provides evidence for a breast cancer risk locus at 6q22.33. Proc Natl Acad Sci USA. 105:pp. 4340–4345. 2008; View Article : Google Scholar : PubMed/NCBI


Schuck PF, Busanello EN, Moura AP, Tonin AM, Grings M, Ritter L, Vargas CR, da Costa Ferreira G and Wajner M: Promotion of lipid and protein oxidative damage in rat brain by ethylmalonic acid. Neurochem Res. 35:298–305. 2010. View Article : Google Scholar : PubMed/NCBI


Schuck PF, Milanez AP, Felisberto F, Galant LS, Machado JL, Furlanetto CB, Petronilho F, Dal-Pizzol F, Streck EL and Ferreira GC: Brain and muscle redox imbalance elicited by acute ethylmalonic acid administration. PLoS One. 10:e01266062015. View Article : Google Scholar : PubMed/NCBI


Albright CD, Klem E, Shah AA and Gallagher P: Breast cancer cell-targeted oxidative stress: Enhancement of cancer cell uptake of conjugated linoleic acid, activation of p53, and inhibition of proliferation. Exp Mol Pathol. 79:118–125. 2005. View Article : Google Scholar : PubMed/NCBI


Quintos L, Lee IA, Kim HJ, Lim JS, Park J, Sung MK, Seo YR and Kim JS: Significance of p27 as potential biomarker for intracellular oxidative status. Nutr Res Pract. 4:351–355. 2010. View Article : Google Scholar : PubMed/NCBI


Lee J and Kim SS: The function of p27 KIP1 during tumor development. Exp Mol Med. 41:765–771. 2009. View Article : Google Scholar : PubMed/NCBI


Polyak K, Kato JY, Solomon MJ, Sherr CJ, Massague J, Roberts JM and Koff A: p27Kip1, a cyclin-Cdk inhibitor, links transforming growth factor-beta and contact inhibition to cell cycle arrest. Genes Dev. 8:9–22. 1994. View Article : Google Scholar : PubMed/NCBI


Toyoshima H and Hunter T: p27, a novel inhibitor of G1 cyclin-Cdk protein kinase activity, is related to p21. Cell. 78:67–74. 1994. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

Volume 15 Issue 1

Print ISSN: 1792-1074
Online ISSN:1792-1082

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
Spandidos Publications style
Asai S, Miura N, Sawada Y, Noda T, Kikugawa T, Tanji N and Saika T: Silencing of ECHDC1 inhibits growth of gemcitabine‑resistant bladder cancer cells. Oncol Lett 15: 522-527, 2018
Asai, S., Miura, N., Sawada, Y., Noda, T., Kikugawa, T., Tanji, N., & Saika, T. (2018). Silencing of ECHDC1 inhibits growth of gemcitabine‑resistant bladder cancer cells. Oncology Letters, 15, 522-527.
Asai, S., Miura, N., Sawada, Y., Noda, T., Kikugawa, T., Tanji, N., Saika, T."Silencing of ECHDC1 inhibits growth of gemcitabine‑resistant bladder cancer cells". Oncology Letters 15.1 (2018): 522-527.
Asai, S., Miura, N., Sawada, Y., Noda, T., Kikugawa, T., Tanji, N., Saika, T."Silencing of ECHDC1 inhibits growth of gemcitabine‑resistant bladder cancer cells". Oncology Letters 15, no. 1 (2018): 522-527.