Skip to content

Advertisement

  • Primary research
  • Open Access

Paraoxonase 3 is involved in the multi-drug resistance of esophageal cancer

  • †1, 2, 3, 4, 5,
  • †1, 2,
  • 1, 2,
  • 1, 2,
  • 1, 2,
  • 1, 2,
  • 1, 2,
  • 1, 2,
  • 1, 2,
  • 2, 3, 4, 5,
  • 2, 3, 4, 5,
  • 2, 3, 4, 5,
  • 2, 3, 4, 5,
  • †2, 3, 4, 5 and
  • †1, 2Email author
†Contributed equally
Cancer Cell International201818:168

https://doi.org/10.1186/s12935-018-0657-1

©  The Author(s) 2018

  • Received: 25 June 2018
  • Accepted: 8 October 2018
  • Published:

Abstract

Background

Drug resistance prevents the effective treatment of cancers. DNA methylation has been found to participate in the development of cancer drug resistance.

Methods

We performed the wound-healing and invasion assays to test the effect of the paraoxonase gene PON3 on esophageal cancer (EC) cells. In addition, in vivo EC-derived tumor xenografts in nude mice were generated to test the effect of PON3 on the chemoresistance of EC cells.

Results

We found that PON3 is hypermethylated in drug-resistant EC cell line K150, which in-return down-regulates its expression. The following experiments by the forced changes of PON3 level in vitro and in vivo demonstrated that the PON3 expression negatively correlates with drug resistance in EC cells. Further wound-healing and invasion assays showed that PON3 suppresses the migration and invasion of EC cells.

Conclusion

Our data established that PON3 is associated with the EC drug resistance, which may serve as a biomarker for the potential therapeutic treatment of EC.

Keywords

  • Esophageal cancer
  • Multi-drug resistance
  • Methylation
  • PON3

Background

Esophageal cancer (EC) is the eighth most common cancer worldwide, which arises from the inner lining of the esophagus [1, 2]. To date, the frequently used therapy for the treatment of EC is chemotherapy in combination with other therapeutic strategies. However, the prognosis of patients with EC remains poor and the 5-year survival rate is less than 20% [3]. This mainly results from the resistance to the commonly used drugs owing to the abuse of antibiotics [4]. There are limited salvage options for patients with refractory EC [5] and targeted therapies are not yet available. Therefore, there is an urgent need for understanding the mechanism of drug-resistance to guide the design of novel approaches for the treatment of EC.

The family of paraoxonase (PON) has three members, PON1, PON2 and PON3, that are located adjacent to each other on chromosome 7 in humans [6]. They share high levels of homology [7]. The expression level and specific activities of PON genes were found to be negatively correlated with several inflammatory disorders, such as cardiovascular diseases, type-2 diabetes, and inflammatory bowel disease [8, 9]. Moreover, PON3 expression is remarkably up-regulated in a variety of human cells, including cancer cells  [10, 11]. Recent study suggested that PON3 promotes cell proliferation and metastasis by regulating PI3K/Akt in oral squamous cell carcinoma [12]. Despite the extensive studies of PON3 in cancer cells, the roles of PON3 in EC are rarely evaluated, especially the involvement in drug resistance. In this study, we investigated the roles of PON3 in EC cells and found that PON3 is related in various biological processes in EC cells, which will give us hints for a clinical therapy of EC.

Methods

Cell lines and culture

The eight K30, K450, K180, K150, TE-1, K510, K140 and K410 cell lines come from our laboratory. All cell lines were cultured in RPMI1640 (Biological Industries, Israel) +10% fetal bovine serum (Invitrogen, USA) and 1% glutamine at 37 °C in 5% CO2.

Bisulfite sequencing PCR (BSP) analysis

Genomic DNA was isolated by a standard phenol/chloroform purification method, verified by electrophoresis on an agarose gel, and treated by an ammonium bisulfite-based bisulfite conversion method. Then the PCR fragments from the converted DNA were sequenced and analyzed. Raw sequence data files were processed, and the area ratio (%) of C over C + T of the primary CpG dinucleotide was calculated as the % of methylation and plotted [13].

Transient transfection assays and reagents

siRNA and scrambled (negative control, NC) sequences as well as a riboFECT CP transfection kit were supplied by Guangzhou RiboBio, China. A GFP-tagged PON3 overexpression construct (pReciever-M98) was purchased from Genecopia, Guangzhou, China (Catalog No.: EX-E0804-M98-5). Transfections of the above mentioned ribonucleic acid reagents and reporter plasmids were performed according to the manufacturer’s instructions.

Chemoresistance profiling (IC50 determination)

All of the chemotherapeutic drugs used in this study were of clinical grade. To perform thiazolyl blue tetrazolium blue (MTT)-based cell proliferation assays, experimental groups of cells in the logarithmic phase of growth were seeded in triplicate in 96-well plates at a cell density of 0.5 × 104/well and treated with fourfold serially diluted drugs for 72 h. Then 10 μl (5 mg/ml) of MTT salt (Sigma) was added to the corresponding wells. The cells were incubated at 37 °C for another 4 h, and the reaction was stopped by lysing the cells with 150 μl of DMSO for 5 min. The optical density was measured at 570 nm. A group that received no drug treatment was used as a reference for calculating the relative cell survival rate.

RNA analysis

Total RNA was isolated from cells during the logarithmic phase using TRIzol (Tiangen Biotech). For mRNA analysis, a cDNA primed by an oligo-dT was constructed using a PrimeScript RT reagent kit (Tiangen Biotech). The PON3 mRNA level was quantified using duplex-qRT-PCR analysis, wherein TaqMan probes with a different fluorescence profile were used to detect β-actin (provided by Shing Gene, Shanghai, China) in a FTC-3000P PCR instrument (Funglyn Biotech). Using the 2−ΔΔCt method, target gene expression levels were normalized to the β-actin expression level before the relative levels of the target genes were compared.

Western blot protein analysis

Cells were lysed with lysis buffer (60 mM Tris–HCl [pH 6.8], 2% SDS, 20% glycerol, 0.25% bromophenol blue, and 1.25% 2-mercaptoethanol) and heated at 95 °C for 10 min before electrophoresis/Western blot analysis. The primary anti-PON3 (17422-1-AP) antibodies and anti-GAPDH (60004-1-lg) antibodies were purchased from Proteintech (San Ying Biotechnology, China) and were recognized with anti-rabbit IgG peroxidase-conjugated antibody (30000-0-AP) (San Ying Biotechnology, China), followed by an enhanced chemiluminescence reaction (Thermo Fisher Scientific, Waltham, MA, USA). Relative levels of proteins were quantified using densitometry with a Gel-Pro Analyzer (Media Cybernetics, Rockville, MD, USA). The target bands over the GAPDH band were densitometrically quantified, as indicated under each band (Additional file 1).

Wound-healing assays

For cell motility assays, cells stably expressing si-PON3, GFP-PON3 and the corresponding NC were seeded in 24-well plates and cultured to near confluence. After 6 h of culture in RPMI1640 without FBS, a linear wound was carefully made using a sterile 10 µl pipette tip across the confluent cell monolayer, and the cell debris was removed by washing with phosphate-buffered saline. The cells were incubated in RPMI1640 plus 10% FBS, and the wounded monolayers were then photographed at 0, 8, 12 and 20 h after wounding.

In vitro invasion assays

Cell invasion assays were performed in a 24-well plate with 8 mm pore size chamber inserts (Corning, USA). For invasion assays, 1 × 103 cells stably expressing si-PON3, GFP-PON3 or NC were placed into the upper chamber in each well with the matrigel-coated membrane, which was diluted in serum-free culture medium. In the assay, cells were suspended in 100 µl of RPMI1640 without FBS when they were seeded into the upper chamber. In the lower chamber, 500 µl of RPMI1640 supplemented with 10% FBS was added. After incubation for 36 h at 37 °C and 5% CO2, the membrane inserts were removed from the plate, and non-invading cells were removed with cotton swab from the upper surface of the membrane. Cells that moved to the bottom surface of the chamber were stained with 0.1% crystal violet for 30 min. The cells were then imaged and counted in at least 5 random fields using a CKX41 inverted microscope (Olympus, Japan). The assays were conducted in three independent times.

Signaling pathway analysis

The reporter construct encodes the firefly luciferase reporter gene under the control of a basal promoter element (TATA box) joined to tandem repeats of a specific transcriptional response element. The cells were transfected in triplicate with each firefly luciferase reporter construct in combination with the Renilla luciferase-based control construct using the riboFECT CP transfection reagent, and both the luciferase activities were measured in the cell extracts 24 h after transfection. The luciferase activities (luciferase unit) of the pathway reporter relative to those of the negative control in the transfected cells were calculated as a measurement of the pathway activity.

In vivo studies

Animal experiments were performed in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals. Male BALB/c nude mice between 3 and 4 weeks old were used for this study [14]. K510 cells were embedded in BD Matrigel Matrix (Becton, USA) and subcutaneously injected into two sites on the back of each mouse as follows: 1.0 × 107 cells/site for K510 into 2 sites/mouse, with 6 mice. Ten days after cell injection, all of the tumors were intratumorally injected with 2 nM NC/si-PON3 every 2 days. Ten days later, after four cell injections, three mice intraperitoneally received DDP (75 μg/mouse) once every other day. The remaining three mice in each group received PBS as a mock treatment control. The mice were euthanized on day 30 after four drug injections, and their tumors were weighed and imaged. Tumor weight was described as the mean ± S.D. The expression levels of PON3 and Ki67 proteins were measured using immunochemical analysis on 5 μm sections of formalin-fixed, paraffin-embedded tumor xenografts in nude mice. The antigens were retrieved by pre-treating the de-waxed sections in a microwave oven at 750 Watts for 5 min in citrate buffer (pH 6) processed with a Super Sensitive Link-Labeled Detection System (Biogenex, Menarini, Florence, Italy), and the slides were developed using 3-amino-9-ethylcarbazole (Dako, Milan, Italy) as a chromogenic substrate. After the slides were counterstained with Mayer’s hematoxylin (Invitrogen), they were mounted in an aqueous mounting medium (Glycergel, Dako). Images were captured using a Leica DM 4000B microscope (Wetzlar, Germany), the relative level of each protein was calculated using Leica software (Wetzlar, Germany), and the percentage of the mock over the chemotherapeutically treated tumors was calculated and plotted.

Statistical analysis

All of the results are represented as the mean ± standard deviation (SD) of three independent experiments. Two-tailed Student’s t-test, one-way analysis of variance or Mann–Whitney U test was used to calculate statistical significance. All of the statistical analyses were performed with Microsoft Excel 2010 (Microsoft, Redmond, WA). A p-value of less than 0.05 was designated statistically significant.

Results

PON3 is hypermethylated in drug-resistant esophageal cancer cell line K150

To profile the drug resistance ability of the eight common EC cell lines (K30, K450, K180, K150, TE-1, K510, K140 and K410), we performed the IC50 profiling against the four drugs CBCDA, 5-FU, VP-16 and DDP, which are frequently used for EC therapy. As shown in Fig. 1, the drug resistance index revealed that K510 is the most multi-drug sensitive cell lines, with the lowest IC50 values against all the four drugs. In contrast, K150 is the most drug-resistant cell lines with relative drug resistance index of 12.48 (Fig. 1).
Fig. 1
Fig. 1

Drug resistance profiling of eight esophageal cancer cell lines. a–d IC50 values of the four indicated chemotherapeutics for eight esophageal cancer cell lines. The cell survival rates were calculated as percentages relative to the mock treatment and plotted against lg µg/ml of drug. e The IC50 (-fold) values relative to those of the most sensitive cell cine (K510) are presented in the table

To find the insight that governs the drug-resistance of EC, we tested the expression pattern of the PON3 gene, which was previously reported to involve in drug-resistance [9]. First, we detected the methylation status of the PON3 promoter region in the eight EC cells by Bisulfite Sequencing PCR (BSP) assay. The results showed that 16 CpG sites among the total 20 CpG sites were methylated at varying ratios (Fig. 2). The average methylation ratio of the PON3 gene in K150 cells is approximately 6.4-folds higher than that in K510 cells (85.79:13.44, Fig. 2b). The results suggested that PON3 is hypermethylated in the drug-resistant EC cell line K150.
Fig. 2
Fig. 2

Differential methylation of the PON3 gene in eight esophageal cancer cell lines. a BSP primers and CpG dinucleotides of PON3 are shown. b Relative methylation levels (fold) of PON3 in eight esophageal cancer cell lines. c Methylation percentage at each CpG site in the K150 and K510 cells

The PON3 expression negatively correlates with drug resistance in EC cells

To determine whether the hypermethylation may affect the expression of PON3 in EC cells, we detected the expression levels of PON3 in the eight EC cell lines. The qRT-PCR assay revealed that the PON3 mRNA level is relatively lower in the drug-resistant cell lines K30 and K150, compared to the drug-sensitive cell lines K410 and K510 (Fig. 3a). In agreement with the mRNA level, the western blot assays also suggested that PON3 protein level is much lower in the drug-resistant cell lines K450, K140 and K150, but higher in the drug-sensitive cell lines K510 and K410 (Fig. 3b).
Fig. 3
Fig. 3

Effects of a forced reversal of the PON3 levels on the drug resistance of K510 cells. The levels of PON3 mRNA (a) and protein level (b) determined by qRT-PCR and western blot analysis in the eight esophageal cancer cell lines. The levels of protein level (c) PON3 and mRNA (d) determined by western blot and qRT-PCR analysis in the si-PON3-transfected versus the NC-transfected K510. The cell death triggered by an IC50 dose of four drugs in K510 cells transfected with the si-PON3-transfected versus the negative control (NC) assayed 72 h after treatment with the IC50 dose of drugs (e)

Next, we transfected si-PON3 to down-regulate the PON3 level in K510 cells and tested the drug-resistance ability against the four drugs. Indeed, transfection of si-PON3 decreased the level of PON3 at both protein and mRNA levels, which are only 34% and 12%, respectively, of the control cells (Fig. 3c, d). Following the changes of the PON3 level in K510 cells, the cell death triggered by all four drugs was- reduced, except that against VP16 (Fig. 3e), indicating an increased drug-resistance capability. Conversely, we over-expressed GFP-tagged PON3 in K150 cells to further test the drug-resistance effect (Fig. 4a). The PON3 protein level was up-regulated by 1.77-folds following the over-expression of GFP-PON3 (Fig. 4b, c). As expected, the drug resistance ability was somewhat decreased, except that against VP16 (Fig. 4d). All these results suggest that PON3 is negatively correlated with the drug-resistance of EC cells.
Fig. 4
Fig. 4

Effects of a forced reversal of the PON3 levels on the drug resistance of K150 cells. Representative areas of K150 cells transfected with GFP-PON3 ectopic expression construct were shown and GFP was used as a negative control (a). PON3 protein (b) and mRNA (c) level determined by western blot and qRT-PCR analysis in the GFP-tagged overexpression construct-transfected versus the NC-transfected K150. The cell death triggered by an IC50 dose of four drugs in K150 cells transfected with the GFP-PON3-transfected versus the negative control (NC) assayed 72 h after treatment with the IC50 dose of drugs (d)

PON3 suppresses the migration and invasion of EC cells in vitro

The differential methylation state as well as the different expression level of PON3 in the EC cell lines indicate their potential roles in the metastasis of EC. We then compared the migration and invasion capability of K510 and K150 cells using the wound-healing and matrigel invasion assays, respectively. Compared to the control cells, transfection of si-PON3 into K510 cells significantly increased the migration capability, whereas transfection of GFP-PON3 into K150 cells largely decreased the migration capability (Fig. 5a). The results suggest that the PON3 level negatively correlates with the migration of EC cells. Similar results are also found for the invasion assays, as revealed by the transfection of either si-PON3 into K510 cells, or GFP-PON3 into K150 cells (Fig. 5b). Taken together, PON3 might act as a negative regulator of both migration and invasion of EC cells.
Fig. 5
Fig. 5

PON3 expression level affecting cell migration and invasion. Wound-healing assays that determine the migration ability of K510 and K150 cells were performed with transient expression of the si-PON3, GFP-PON3 and corresponding negative control (NC), respectively (a). Invasion assays that determine the invasive ability of K510 and K150 cells were performed with transient expression of the si-PON3, GFP-PON3 and corresponding negative control (NC), respectively (b). The data are representative of three independent experiments

To further understand the underlying molecular mechanisms of EC drug resistance, we measured the activities of the ten classical signaling pathways in both K510 and K150 cells. Among the ten pathways, the activities of five pathways differed by more than two-folds in K510 and K150 cells, suggesting that they might play a role in EC drug resistance. Among them, four pathways, p53/DNA damage, NF-кB, MAPK/ERK and PI3K/AKT showed higher activities in K510 cells, whereas cAMP/PKA showed higher activities in K150 cells (Fig. 6a). We then determined which of the five pathways were also affected by forced changes of the PON3 level in both K150 and K510 cells. As shown in Figure 6B and 6C, upon the repression of PON3 level by si-PON3 in K510 cells, the activities of p53/DNA damage, NF-кB, and PI3K/AKT were elevated, which correlate well with the negative regulation of these pathways by PON3 in K510 cells (Fig. 6c). We also transfected GFP-PON3 into K150 cells and measured the activities of these five pathways in K150 cells. Following the increase of the PON3 level, the NF-кB and PI3K/AKT pathways were repressed (Fig. 6c), which is in agreement with the forced changes of PON3 level in K510 cells upon transfection of si-PON3. Overall, we propose that the NF-кB and PI3K/AKT pathways involve in the EC drug resistance mediated by the PON3 gene.
Fig. 6
Fig. 6

The effects of the forced reversal of PON3 levels on the activity of the signaling pathways in K150 versus K510 cells. The activities of the ten pathways in K150 versus K510 cells (a). The relative pathway activities in the PON3 siRNA- and GFP-PON3 versus the corresponding NC, which were transfected in K510 and K150 cells, respectively (b). The expression ratio of the five transcription Factors in the PON3 siRNA- and GFP-PON3 versus the corresponding NC- transfected in K510 and K150 cells, respectively (c)

PON3 inhibits both the growth and DDP drug resistance of K510-derived tumor xenografts in nude mice

To investigate the in vivo effect of PON3 on EC drug resistance, we generated a K510-derived tumor model in nude mice (Fig. 7a). Upon transfection of si-PON3, K510-derived tumors were approximately 2.4-folds heavier than the control cells, suggesting that PON3 inhibits tumor growth in vivo. In addition, after an intraperitoneal injection of DDP, the K510 tumors were much smaller than the control cells with the injection of PBS (Fig. 7b). Furthermore, the tumor weight for the si-PON3/DDP K510 mice was heavier than that in the DDP K510 mice (Fig. 7b). These results clearly indicated that PON3 inhibits both the growth and DDP drug resistance of K510-derived tumor xenografts in nude mice.
Fig. 7
Fig. 7

Effect of PON3 on the in vivo growth and DDP drug resistance of K510-derived xenografts in nude mice. a Experimental scheme: K510 cells were subcutaneously injected at two points on the back of each nude mouse, with 2 sites/mouse, 6 mice for K510. From the 15th day after cell injection, all six K150-generated tumors on the left back of the nude mice were intratumorally injected with 2nM si-PON3, and the six right back sites were injected with 2 nM Mock; this process was repeated four times within 3 days. From the 28th day after cell injection, 3 K510 mice received DDP (2.5 mg/kg) intraperitoneally once every 3 days, for a total of 4 injections over 12 days. The remaining 3 mice received PBS as a mock treatment control. b Image of representative tumors on the day of 45, and the mean ± SD of the tumor weight of the tumor for the same treatment was calculated, plotted and summarized. c The protein levels of PON3 and Ki67 in each group were determined by immunostaining and summarized in the table (Magnification: ×200)

Further confirmation of the PON3 role in the DDP resistance of EC came from the immunohistological analysis of PON3 and Ki67 (an indicator of tumor cell proliferation) in the tumor sections of the DDP-treated versus PBS-treated mice (Fig. 7c). The intratumoral injection of si-PON3 into K510 indeed led to the decrease of the PON3 level in the tumor sections (Fig. 7c), which further confirmed that PON3 has a positive effect on both the growth and drug resistance of EC cell-derived tumor xenografts in nude mice

Discussion

Accumulating evidences have been shown that DNA methylation play important roles in drug resistance of cancers, which prevents the effective treatment of cancers [15]. Altered DNA methylation patterns can influence the expression of genes [16]. Recent study on the profiling of gene-specific methylation levels in EC provides a useful approach for investigating the individual hypermethylated gene in EC [17]. Despite extensive studies revealed that methylation is a modulator of cancer, the understanding of DNA methylation on the effect of EC remains limited. In our study, we identified that the promoter region of PON3 is hypermethylated in drug resistant EC cell lines. The hypermethylation of PON3 in return down-regulates its expression in drug resistant EC cells. Furthermore, we showed that the PON3 level is negatively correlated with the drug-resistance of EC cells, and thus suppresses the EC drug resistance. In vivo experiments also found that PON3 inhibits tumor growth in nude mice. All these findings made us to propose that PON3 might be a tumor suppressor, considering its high methylation in the promoter region and low expression level in multiple cancers.

Paraoxonase 3 (PON3) belongs to the paraoxonase family that helps in preventing oxidative stress and anti-inflammatory [18]. This gene also involves in other diseases including cancer [19, 20]. PON3 gene has a high expression level in cancer tissues of the lung, liver and colon [11]. Previous studies also showed that PON3 is hypermethylated in colorectal cancer [9] and chordomas [21]. Notably, the genome-wide DNA methylation analysis identified that several genes, including PON3, are aberrantly methylated in the high-grade non-muscle invasive bladder cancer [22]. These findings suggest that epigenetic modifications are usually associated with the development and/or progression of different type of tumors [13, 23]. In accordance with previous studies, we identified that the promoter region of PON3 is hypermethylated in EC cancer. The hypermethylation of PON3 may serve as a marker of poor prognosis in human EC. Furthermore, the expression of PON3 negatively correlates with drug resistance in EC cells, and thus appears to act a biomarker for the drug resistance of EC cells. The study may provide a new potential therapeutic target in the treatment of EC. However, the detailed mechanism for the PON3-regulated drug resistance in EC cells remains to be clarified.

Conclusions

In this work, we identified that PON3 is associated with the multi-drug resistance of EC cancer. Our findings suggest that PON3 may serve as a biomarker for the potential therapeutic treatment of EC.

Notes

Abbreviations

EC: 

esophageal cancer

BSP: 

bisulfite sequencing PCR

CBCDA: 

carboplatin

5-FU: 

5-fluorouracil

VP-16: 

etoposide phosphate

DDP: 

cisplatin

PON3: 

paraoxonase 3

Declarations

Authors’ contributions

DBH, YW, SLH and YYP made substantial contributions to conception and design, acquisition of data, and analysis and interpretation of data, and were involved in drafting and critically revising the manuscript for important intellectual content. DBH, YW and YYP was principally responsible for drafting the manuscript and for several cycles of revision of the manuscript. YFH, GW, WW, XHH, YBS, GDS, MC, GB and XF made substantial contributions to analysis and interpretation of data and were involved in critically revising the manuscript for important intellectual content. BJS, LL made substantial contributions to conception and design, and analysis and interpretation of data and was involved in drafting and critically revising the manuscript for important intellectual content. All authors read and approved the final manuscript.

Acknowledgements

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The dataset supporting the conclusions of this article is available upon request for researchers after consultation with the corresponding author. Please contact the corresponding author, if you wish to request the data set.

Consent to publication

Not applicable.

Ethics approval and consent to participate

Animal experiments were undertaken in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals. Animal research was approved by the biomedical ethics committee of Anhui Medical University. The animal study proposal was approved by the Institutional Animal Care and Use Committee (IACUC) of the University of Science and Technology of China. All of the mouse experimental procedures were performed in accordance with the Regulations for the Administration of Affairs Concerning Experimental Animals approved by the State Council of People’s Republic of China.

Funding

This work was supported by the Special Subsidy for Central Guidance of China (2017070503B041 granted to SLH), Anhui Provincial science and technology key projects (1501041142 granted to SLH), Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy (1606c08236 granted to SLH) and the Key research and development plan of Anhui Province (1704a0802148 granted to YYP).

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, People’s Republic of China
(2)
Department of Oncology, The Affiliated Hospital of Anhui Medical University, Hefei, 230001, Anhui, People’s Republic of China
(3)
Department of Geriatrics, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, People’s Republic of China
(4)
Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, 230001, Anhui, People’s Republic of China
(5)
Gerontology Institute of Anhui Province, Hefei, 230001, Anhui, People’s Republic of China

References

  1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Can J Clin. 2015;65(2):87–108.View ArticleGoogle Scholar
  2. Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, Jemal A, Yu XQ, He J. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66(2):115–32.View ArticleGoogle Scholar
  3. Kim T, Grobmyer SR, Smith R, Ben-David K, Ang D, Vogel SB, Hochwald SN. Esophageal cancer—the five year survivors. J Surg Oncol. 2011;103(2):179–83.View ArticleGoogle Scholar
  4. Katoh R, Takebayashi Y, Takenoshita S. Expression of copper-transporting P-type adenosine triphosphatase (ATP7B) as a chemoresistance marker in human solid carcinomas. Ann Thorac Cardiovasc Surg. 2005;11(3):143–5.PubMedGoogle Scholar
  5. Shim HJ, Cho SH, Hwang JE, Bae WK, Song SY, Cho SB, Lee WS, Joo YE, Na KJ, Chung IJ. Phase II study of docetaxel and cisplatin chemotherapy in 5-fluorouracil/cisplatin pretreated esophageal cancer. Am J Clin Oncol. 2010;33(6):624–8.View ArticleGoogle Scholar
  6. Mochizuki H, Scherer SW, Xi T, Nickle DC, Majer M, Huizenga JJ, Tsui LC, Prochazka M. Human PON2 gene at 7q21.3: cloning, multiple mRNA forms, and missense polymorphisms in the coding sequence. Gene. 1998;213(1–2):149–57.View ArticleGoogle Scholar
  7. Primo-Parmo SL, Sorenson RC, Teiber J, La Du BN. The human serum paraoxonase/arylesterase gene (PON1) is one member of a multigene family. Genomics. 1996;33(3):498–507.View ArticleGoogle Scholar
  8. Camps J, Marsillach J, Joven J. The paraoxonases: role in human diseases and methodological difficulties in measurement. Crit Rev Clin Lab Sci. 2009;46(2):83–106.View ArticleGoogle Scholar
  9. Baharudin R, Ab Mutalib NS, Othman SN, Sagap I, Rose IM, Mohd Mokhtar N, Jamal R. Identification of predictive DNA methylation biomarkers for chemotherapy response in colorectal cancer. Front Pharmacol. 2017;8:47.View ArticleGoogle Scholar
  10. Witte I, Foerstermann U, Devarajan A, Reddy ST, Horke S. Protectors or traitors: the roles of PON2 and PON3 in atherosclerosis and cancer. J Lipids. 2012;2012:342806.View ArticleGoogle Scholar
  11. Schweikert EM, Devarajan A, Witte I, Wilgenbus P, Amort J, Forstermann U, Shabazian A, Grijalva V, Shih DM, Farias-Eisner R, et al. PON3 is upregulated in cancer tissues and protects against mitochondrial superoxide-mediated cell death. Cell Death Differ. 2012;19(9):1549–60.View ArticleGoogle Scholar
  12. Zhu L, Shen Y, Sun W. Paraoxonase 3 promotes cell proliferation and metastasis by PI3K/Akt in oral squamous cell carcinoma. Biomed Pharmacother. 2017;85:712–7.View ArticleGoogle Scholar
  13. Lv L, Deng H, Li Y, Zhang C, Liu X, Liu Q, Zhang D, Wang L, Pu Y, Zhang H, et al. The DNA methylation-regulated miR-193a-3p dictates the multi-chemoresistance of bladder cancer via repression of SRSF2/PLAU/HIC2 expression. Cell Death Dis. 2014;5:e1402.View ArticleGoogle Scholar
  14. Lv L, Deng H, Li Y, Zhang C, Liu X, Liu Q, Zhang D, Wang L, Pu Y, Zhang H, He Y, Wang Y, Yu Y, Yu T, Zhu J. The DNA methylation-regulated miR-193a-3p dictates the multi-chemoresistance of bladder cancer via repression of SRSF2/PLAU/HIC2 expression. Cell Death Dis. 2014;5:e1402.View ArticleGoogle Scholar
  15. Edwards JR, Yarychkivska O, Boulard M, Bestor TH. DNA methylation and DNA methyltransferases. Epigenet Chromatin. 2017;10:23.View ArticleGoogle Scholar
  16. Wajed SA, Laird PW, DeMeester TR. DNA methylation: an alternative pathway to cancer. Ann Surg. 2001;234(1):10–20.View ArticleGoogle Scholar
  17. Haque MH, Gopalan V, Islam MN, Masud MK, Bhattacharjee R, Hossain MSA, Nguyen NT, Lam AK, Shiddiky MJA. Quantification of gene-specific DNA methylation in oesophageal cancer via electrochemistry. Anal Chim Acta. 2017;976:84–93.View ArticleGoogle Scholar
  18. Rosenblat M, Draganov D, Watson CE, Bisgaier CL, La Du BN, Aviram M. Mouse macrophage paraoxonase 2 activity is increased whereas cellular paraoxonase 3 activity is decreased under oxidative stress. Arterioscler Thromb Vasc Biol. 2003;23(3):468–74.View ArticleGoogle Scholar
  19. Devarajan A, Shih D, Reddy ST. Inflammation, infection, cancer and all that… the role of paraoxonases. Adv Exp Med Biol. 2014;824:33–41.View ArticleGoogle Scholar
  20. Rull A, Garcia R, Fernandez-Sender L, Garcia-Heredia A, Aragones G, Beltran-Debon R, Marsillach J, Alegret JM, Martin-Paredero V, Mackness B, et al. Serum paraoxonase-3 concentration is associated with insulin sensitivity in peripheral artery disease and with inflammation in coronary artery disease. Atherosclerosis. 2012;220(2):545–51.View ArticleGoogle Scholar
  21. Alholle A, Brini AT, Bauer J, Gharanei S, Niada S, Slater A, Gentle D, Maher ER, Jeys L, Grimer R, et al. Genome-wide DNA methylation profiling of recurrent and non-recurrent chordomas. Epigenetics. 2015;10(3):213–20.View ArticleGoogle Scholar
  22. Kitchen MO, Bryan RT, Emes RD, Glossop JR, Luscombe C, Cheng KK, Zeegers MP, James ND, Devall AJ, Mein CA, et al. Quantitative genome-wide methylation analysis of high-grade non-muscle invasive bladder cancer. Epigenetics. 2016;11(3):237–46.View ArticleGoogle Scholar
  23. Marofi F, Vahedi G, Solali S, Alivand M, Salarinasab S, Zadi Heydarabad M, Farshdousti Hagh M. Gene expression of TWIST1 and ZBTB16 is regulated by methylation modifications during the osteoblastic differentiation of mesenchymal stem cells. J Cell Physiol. 2018. https://doi.org/10.1002/jcp.27352.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s) 2018

Advertisement

Cancer Cell International

ISSN: 1475-2867

Contact us