Literature DB >> 29849464

Triclosan treatment decreased the antitumor effect of sorafenib on hepatocellular carcinoma cells.

Man Wu1,2, Guanren Zhao2, Xiaomei Zhuang1, Tianhong Zhang1, Ce Zhang2, Wenpeng Zhang1, Zhenqing Zhang1.   

Abstract

BACKGROUND: Triclosan is a widely applied antimicrobial agent which affects the endocrine system and homeostasis; it may also promote the cirrhosis and hepatocellular carcinoma (HCC) growth in a mice model. The exact roles of triclosan in regulating human hepatocellular carcinoma development and treatment remain unknown.
METHODS: MHCC97-H, a highly aggressive HCC cell line, was treated with indicated concentration of triclosan or sorafenib. The expression of drug-resistance genes was examined by qPCR. The clearance or metabolism of sorafenib was determined by liquid chromatograph-mass spectrometer/mass spectrometer (LC-MS/MS). MTT assay was used to examine the MHCC97-H cell proliferation. Nude mice were used to exam the anti-tumor effect of sorafenib on subcutaneous and intrahepatic growth of MHCC97-H cells.
RESULTS: In the present study, triclosan could induce the expression of drug-resistance genes in MHCC97-H cells (a highly aggressive HCC cell line), accelerate the clearance of sorafenib, and attenuate the anti-proliferation effect of this molecular targeted agent in MHCC97-H cells. Triclosan decreased the antitumor effect of sorafenib on subcutaneous and intrahepatic growth of MHCC97-H in nude mice.
CONCLUSION: By discovering the fact that triclosan treatment enhances sorafenib resistance in HCC cells, this work suggests exposure of triclosan is detrimental to HCC patients during chemotherapy.

Entities:  

Keywords:  HCC; drug clearance; sorafenib resistance; triclosan

Year:  2018        PMID: 29849464      PMCID: PMC5965385          DOI: 10.2147/OTT.S165436

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Hepatocellular carcinoma (HCC) is one of the most common human malignancies in China that partially attributes to the large hepatitis virus (hepatitis B virus or hepatitis C virus) carriers population.1,2 Because of the limitations of current clinical diagnosis options, most patients were found to have advanced HCC even at their initial diagnosis, which is no longer suitable for liver transplant or surgical operation.3,4 Advanced HCC patients could not be clinically benefited from systemic chemotherapies and molecular targeting therapies, for example, the first-line agent sorafenib and the second-line agent Regorafenib.5,6 About 30%–40% of patients are initially insensitive to sorafenib, whereas some patients with good initial responses become resistant to sorafenib as the therapy progressed.7 Until now, the mechanism of sorafenib resistance remains unclear. Triclosan (TCS, 5-chloro-2-(2,4-dichlorophenoxy) phenol) is an antimicrobial agent widely used in general consumer products for personal care and household cleaning.8 Initially, TCS was considered as well tolerated and safe. However, TCS was recently found to affect endocrine and impair muscle contraction.9 In 2014, Yueh et al reported that TCS could promote the progress of cirrhosis and HCC in mice model.10 However, the exact role of TCS in HCC regulation or treatment is still largely unknown. In present work, TCS is showed to induce the expression of drug-resistance genes and promote the clearance of sorafenib in MHCC97-H cells. It is also found that TCS decreased the antitumor effect of sorafenib on subcutaneous and intrahepatic MHCC97-H tumor models. Based on the finding that TCS treatment induces sorafenib resistance in HCC model, this study may help to explain why exposure of TCS is detrimental for HCC patients.

Materials and methods

Cell culture and agents

MHCC97-H cells were purchased from Type Culture Collection of the Chinese Academy of Sciences (Shanghai, China), a Chinese government organization containing typical biological samples, and cultured in DMEM (Thermo Fisher Scientific, Waltham, MA, USA) with 10% fetal bovine serum (Thermo Fisher Scientific) at 5% CO2, 37°C condition.11,12 Five lines of patient-derived HCC cell lines were a gift from Dr Fan Feng in Research Center for Clinical and Translational Medicine, The 302nd Hospital of Chinese PLA, Beijing, China. The collection of patient-derived HCC cell lines was with the approval for experiments from No 302nd hospital, Chinese PLA. Sorafenib (Cat No S7397) and TCS (Cat No S4541) were purchased from Selleck Corporation (Houston, TX, USA). TCS and sorafenib were dissolved separately in DMSO (Sigma Aldrich Co., St. Louis, MO, USA) and diluted by DMEM or other solution. Final concentration of DMSO in cell culture experiments was <1‰.

Examination panel of drug resistance-related genes

Drug resistance-related genes’ panel is mainly focused on drug metabolizing enzymes impacting drug efficacy and resistance (Table 1). Genes including 1) ATP-binding cassette transporters (ABCB1, ABCC1, ABCC2, ABCC3 or ABCG2); 2) cytochrome P450 (CYP; CYP1A2, CYP2B6, CYP2C11, CYP2C19, CYP2C22, CYP2C9, CYP2D6, CYP3A1, CYP3A4, CYP3A5, CYP4A11, CYP4B1); and 3) transferases (catechol-O-methyltransferase [COMT], dihydropyrimidine dehydrogenase [DPYD], thiopurine S-methyltransferase [TPMT], UDP glucuronosyltransferase family 1 member A1 [UGT1A1] or UDP glucuronosyltransferase family 2 member B7 [UGT2B7]); and 4) other drug resistance-related genes (5-hydroxytryptamine receptor 2A [HTR2A], apolipoprotein E [Apo E], aldehyde dehydrogenase 1 family [ALDH1A1], or adrenoceptor α2A [ADRA2A]), which would participate in drug resistance via mechanisms other than drug metabolism or clearance were chosen as control.
Table 1

Primers used in quantitative polymerase chain reaction (qPCR) experiments

mRNASequence
ABCB1 (ATP-binding cassette subfamily B member 1)
 Forward primer5′-TCTGGACAAGCACTGAAAGATAAG-3′
 Reverse primer5′-ACCTGCAAACTCTGAGCATACATA-3′
ABCC1 (ATP-binding cassette subfamily C member 1)
 Forward primer5′-CCGTGTACTCCAACGCTGACAT-3′
 Reverse primer5′-ATGCTGTGCGTGACCAAGATCC-3′
ABCC2 (ATP-binding cassette subfamily C member 2)
 Forward primer5′-GCCAACTTGTGGCTGTGATAGG-3′
 Reverse primer5′-ATCCAGGACTGCTGTGGGACAT-3′
ABCC3 (ATP-binding cassette subfamily C member 3)
 Forward primer5′-GAGGAGAAAGCAGCCATTGGCA-3′
 Reverse primer5′-TCCAATGGCAGCCGCACTTTGA-3′
ABCG2 (ATP-binding cassette subfamily G member 2)
 Forward primer5′-GTTCTCAGCAGCTCTTCGGCTT-3′
 Reverse primer5′-TCCTCCAGACACACCACGGATA-3′
ADRA2A (adrenoceptor α2A)
 Forward primer5′-CCAGGGCACTCAGAAACC-3′
 Reverse primer5′-AAACGACGACATAGAGGGACT-3′
ALDH1A1 (aldehyde dehydrogenase 1 family)
 Forward primer5′-ACAGGGTCTACTGAGGTTG-3′
 Reverse primer5′-CTCCACGAAGATGCGAGA-3′
Apo E (apolipoprotein E)
 Forward primer5′-GAATTCGCCCCGCCTGGTACAC-3′
 Reverse primer5′-TAAGCTTGGCACGGCTGTCCAAGGA-3′
COMT (catechol-O-methyltransferase)
 Forward primer5′-TCCTTCTCAACTGCCATTCC-3′
 Reverse primer5′-CCTTAGCGTTAGCGTCCGTC-3′
CYP1A2 (cytochrome P450 1A2)
 Forward primer5′-CATAGCCTCAGACCCCACAT-3′
 Reverse primer5′-ACATTAGCCACCGATTCCAC-3′
CYP2B6 (cytochrome P450 2B6)
 Forward primer5′-TCTGGATGCCAATGGGGCACTGAA-3′
 Reverse primer5′-GGGCGATGCCTTCACCAAGACAAATT-3′
CYP2C11 (cytochrome P450 2C11)
 Forward primer5′-GAGGACCATTGAGGACCGTA-3′
 Reverse primer5′-GAGCACAGCCCAGGATAAAG-3′
CYP2C19 (cytochrome P450 2C19)
 Forward primer5′-AACTACTTCATGCCTTTCTC-3′
 Reverse primer5′-GGTCCTTTGGGTCAATCAG-3′
CYP2C22 (cytochrome P450 2C22)
 Forward primer5′-ATGGGGATGGGAAAGAGAAC-3′
 Reverse primer5′-TGCTGGAAAATGACACTGGA-3′
CYP2C9 (cytochrome P450 2C9)
 Forward primer5′-CTTGACACCACTCCAGTTGTC-3′
 Reverse primer5′-AGATGGATAATGCCCCAGAG-3′
CYP2D6 (cytochrome P450 2D6)
 Forward primer5′-CTTCACCTCCCTGCTGCAG-3′
 Reverse primer5′-TCACCAGGAAAGCAAAGACA-3′
CYP3A1 (cytochrome P450 3A1)
 Forward primer5′-AAATGCCTCTGTTTGCCATC-3′
 Reverse primer5′-CTTTCCCCATAATCCCCACT-3′
CYP3A4 (cytochrome P450 3A4)
 Forward primer5′-CCCCTGAAATTAAGCTTAGGAG-3′
 Reverse primer5′-TAATTTGAGGTCTCTGGTGTTCTCA-3′
CYP3A5 (cytochrome P450 3A5)
 Forward primer5′-CATGACTTAGTAGACAGATGAC-3′
 Reverse primer5′-GGTCCAAACAGGGAAGAAATA-3′
CYP4A11 (cytochrome P450 4A11)
 Forward primer5′-CTTGGTCATGACTCCTAAACAGAGT-3′
 Reverse primer5′-AGCCTGTTTACCAATTCTCTTTCAC-3′
CYP4B1 (cytochrome P450 4B1)
 Forward primer5′-GCCTCCTATCCCTGGACTCC-3′
 Reverse primer5′-AGCCCCGAGGTGGCTCCTG-3′
DPYD (dihydropyrimidine dehydrogenase)
 Forward primer5′-TGTTCGGACAGAGCAAGATG-3′
 Reverse primer5′-CTTCAATCCGGCCATTTCTA-3′
HTR2A (5-hydroxytryptamine receptor 2A)
 Forward primer5′-ATGTCCTCGGAGTGCTGTG-3′
 Reverse primer5′-TAGCCACCCTGAGCCTATGT-3′
MTHFR (methylenetetrahydrofolate reductase)
 Forward primer5′-GTGTCTGCGGGAGCCGATTTCAT-3′
 Reverse primer5′-GGCGCTTCAGCACCTCTGTGG-3′
TPMT (thiopurine S-methyltransferase)
 Forward primer5′-AGGCAGCTAGGGAAAAAGAAAGCTG-3′
 Reverse primer5′-CAAGCCTTATAGCCTTACACCCAGG-3′
UGT1A1 (UDP glucuronosyltransferase family 1 member A1)
 Forward primer5′-GGCCCATCATGCCCAATAT-3′
 Reverse primer5′-TTCAAATCCTGGGATAGTGGATT-3′
UGT2B7 (UDP glucuronosyltransferase family 2 member B7)
 Forward primer5′-CAAAGGAHCTAAACACCTTCGG-3′
 Reverse primer5′-CCGTAGTGTTTTCTTCATTGCC-3′

Total RNA isolation and quantitative polymerase chain reaction (qPCR)

MHCC97-H cells were treated with indicated concentrations of TCS (0, 30, 100, 300, and 1,000 nmol/L) for 48 hours. Then, cells were harvested, and RNA extracting and qPCR experiments were performed following protocols described previously.13,14 The expression of drug resistance-related gene within MHCC97-H cells was examined by qPCR with primers listed in Table 1. The mRNA level of drug resistance-related genes from qPCR was analyzed by cluster analysis using SPSS software.

Growth inhibition assay of HCC cells

MHCC97-H cells, which were pretreated with solvent control or 300 nmol/L TCS (the maximum-effect concentration for TCS to induce the expression of drug resistance-related genes without cell toxicity), were cultured with sorafenib for specified concentrations and time points. The concentration of sorafenib varies from 0.01 to 10 μmol/L, and the treating time points range from 0 to 72 hours. The viability of HCC cells was examined by MTT, and the absorbance was measured using a multifunctional microplate reader at 490 nm. Inhibition rates were calculated as: inhibition rate = (O.D. 490control group − O.D. 490administration group)/(O.D. 490control group − O.D. 490blank) × 100%.15 Control group refers to cells treated with solvent control or at time 0-point, blank refers to the wells with no cells.

In vivo antitumor effects of sorafenib

All animal experiment protocols were approved by the Institutional Animal Care and Use Committee of the Beijing Institute of Pharmacology and Toxicology. All animal studies were carried out in accordance with the UK Animals (Scientific Procedures) Act 1986 and associated guidelines. For subcutaneous tumor model, nude mice (severe combined immune deficiency [SCID]) 4–6 weeks of age were provided by the animal center of Beijing Institute of Pharmacology and Toxicology. MHCC97-H cells were injected into mice right flank (5 × 106 cells per inoculation point) as described previously.16,17 Tumor size was monitored every 3 days by measuring length and width with a caliper, the tumor volumes were calculated as length × width × width/2.4 After 2–3 weeks’ growth, when tumors reached 1,000–1,200 mm3 volume, mice were randomly divided into four groups and treated as follows: 1) mice were used as control group; 2) mice were injected intravenously with 500 μg/kg TCS (per day); 3) mice were administered 3 mg/kg oral sorafenib (per 2 days); and 4) mice were injected intravenously with 500 μg/kg TCS (per day) and administered 3 mg/kg oral sorafenib (per 2 days) treatment. After 3 weeks treatment, all mice were sacrificed and the final volume of tumors was measured. Every group contains 10 animals, and similar results were obtained from three repeats. For intrahepatic model, MHCC97-H cells were directly inoculated into the right lobe of mice liver (1 × 105 cells per animal).20,21 After 21 days,20,21 nude mice were randomly divided to four groups: 1) mice were used as control group; 2) mice were injected intravenously with 500 μg/kg TCS (per day); 3) mice were administered 3 mg/kg oral sorafenib (per 2 days); and 4) mice were injected intravenously with 500 μg/kg TCS (per day) and administered 3 mg/kg oral sorafenib (per 2 days) treatment. After 3 weeks treatment, all mice were injected intravenously with 400 μCi of 18F radiolabeled fluorodeoxyglucose (18F-FDG) and were examined by a positron emission tomography/computed tomography (PET/CT) scanner (Philips Corp., Holland, the Netherlands) as described by Xu et al.21 An NaI (Tl) well counter (China Atom Corp., Beijing, China) was used to measure the radioactivity of organs (liver) to control (blood).20,21 Every group contains six animals, and similar results were obtained from three repeats.

Clearance of sorafenib

To examine whether TCS could accelerate the metabolism or clearance of sorafenib in HCC cells, the clearance curve of sorafenib in HCC cells or tumors was determined. For cell-based experiments, MHCC97-H cells (1 × 108–2 × 108) were cultured with sorafenib at IC50 concentration (1 μmol/L) for 12 hours. Then, cells were divided into two groups and treated with solvent control or with 300 nmol/L concentration of TCS, separately. Cells were harvested at indicated time points and were lysed by sonication. Sorafenib in cells were extracted by acetonitrile (ACN) and quantitated using liquid chromatography/mass spectrometry-mass spectrometry (LC-MS/MS) as described in Allard et al,18 He et al,19 and Feng et al.20 For subcutaneous tumor experiments, MHCC97-H cells were injected into nude mice to form subcutaneous tumors as mentioned above. Sorafenib (2 mg) was dissolved in a mixture of DMSO (10 μL), PEG400 (50 μL), and Tween 80 (30 μL). Then, sorafenib solution was carefully and slowly added with ddH2O to 1 mL total volume accompanied with ultrasonic or churning treatment. The final concentration of sorafenib in this solution is 2 mg/mL. Sorafenib containing solution (Sor-Sol) was injected into HCC subcutaneous tumors (20 μL per tumor). At indicated time points, tumor tissues were harvested, and the sorafenib was extracted by ACN. The amount of sorafenib was measured by LC-MS/MS.18–20

Statistical analysis

Statistical analysis was carried out using Bonferroni’s correction with or without two-way analysis of variance in SPSS statistical software (IBM Corporation, Armonk, NY, USA). The IC50 value of sorafenib on MHCC97-H cells or half-life (t1/2 value) of sorafenib in MHCC97-H was calculated by Origin software (Version No 6.1, OriginLab Corporation, Northampton, MA, USA). A P-value <0.05 was considered statistically significant.

Results

Triclosan enhances the expression of drug resistance-related genes in MHCC97-H cells

To figure out whether TCS promotes sorafenib resistance process, the expression of drug resistance-related genes in TCS-treated MHCC97-H cells, a representative aggressive HCC cell line, was measured by qPCR. As shown in Figure 1, 30 and 100 nmol/L of TCS could increase the expression of some CYPs or ATP-binding cassettes (ABCs; Cluster 1), and 300 nmol/L of TCS was the maximal effective concentration. TCS did not affect the expression of non-drug metabolism-related genes, such as ALDH1A1, Apo E, ADRA2A, DPYD, COMT, TPMT, HTRA, or methylenetetrahydrofolate reductase (MTHFR; Cluster 2). Moreover, as a result from cluster analysis, Figure 1 indicated the relations among these genes. CYPs or ABCs are listed in the same cluster, and there is no difference between the effect of TCS on CYPs, UDP glucuronosyltransferase family (UGTs), or ABCs. ALDH1A1, Apo E, ADRA2A, DPYD, COMT, TPMT, HTRA, or MTHFR was located in another cluster. Results from cluster analysis indicated that TCS mainly induced the expression of genes related to drug metabolism or clearance, and would induce UGT, CYPs, or ABCs by similar mechanisms in MHCC97-H cells.
Figure 1

Triclosan induced the expression of drug-resistance genes in HCC cells.

Notes: MHCC97-H cells were treated with solvent control, 30, 100, 300 nmol/L, or 1 μmol/L triclosan. Total RNA samples extracted from cell lines were analyzed by qPCR, and β-actin was chosen as a loading control. Results were analyzed by cluster analysis and shown as (A) relative mRNA level (mRNA amount compared to loading control) or (B) relative change of mRNA level (change folds of indicated group compared to solvent control group). Figures are shown as thermal map. The color changes refer the induction of gene expression. Lines in left part of each figures indicate the clusters.

Abbreviations: ABCC1, ATP-binding cassette subfamily C member 1; ABCC2, ATP-binding cassette subfamily C member 2; ABCC3, ATP-binding cassette subfamily C member 3; ABCG2, ATP-binding cassette subfamily G member 2; ADRA2A, adrenoceptor α2A; ALDH1A1, aldehyde dehydrogenase 1 family; Apo E, apolipoprotein E; COMT, catechol-O-methyltransferase; CYP1A2, cytochrome P450 1A2; CYP2C11, cytochrome P450 2C11; CYP2C22, cytochrome P450 2C22; CYP3A1, cytochrome P450 3A1; CYP3A4, cytochrome P450 3A4; CYP3A5, cytochrome P450 3A5; CYP2C19, cytochrome P450 2C19; DPYD, dihydropyrimidine dehydrogenase; HCC, hepatocellular carcinoma; HTR2A, 5-hydroxytryptamine receptor 2A; MTHFR, methylenetetrahydrofolate reductase; qPCR, quantitative polymerase chain reaction; TPMT, thiopurine S-methyltransferase; UGT1A1, UDP glucuronosyltransferase family 1 member A1; UGT2B7, UDP glucuronosyltransferase family 2 member B7.

The cell viability after TCS treatment is shown in Figure 2 as TCS did not display cytotoxicity on MHCC97-H cells in tested concentration range. Interestingly, the higher concentrations of TCS would promote the proliferation of HCC cells. Therefore, TCS enhanced the drug resistance-related genes expression in MHCC97-H cells. For the following experiments, we chose the maximum-effect concentration (300 nmol/L) without cytotoxicity as a standard concentration for TCS treatment.
Figure 2

Triclosan did not have toxicity on MHCC97-H cells.

Notes: MHCC97-H cells were treated with solvent control, 30, 100, 300 nmol/L, or 1 μmol/L triclosan for 48 hours before cells being analyzed by MTT experiments. Results are shown as relative cell number (mean ± SD). *P<0.05 100 nmol/L group, 300 nmol/L group, or 1 μmol/L group versus solvent control group.

Triclosan promotes the clearance of sorafenib in MHCC97-H cells

MHCC97-H cells were treated with 1 μmol/L sorafenib for 12 hours before being washed and incubated in solvent control or 300 nmol/L TCS for another 12 hours. As shown in Figure 3A, sorafenib was cleared within 24 hours in cultured MHCC97-H cells, and the half-life (t1/2 value) is 9.70 ± 0.42 hours. TCS treatment promoted the clearance of sorafenib in MHCC97-H cells as the half-life (t1/2 value) is reduced to 5.43 ± 0.28 hours.
Figure 3

Triclosan promotes the metabolisms or clearances of sorafenib.

Notes: (A) MHCC97-H cells, pretreated with 1 μmol/L sorafenib for 12 hours, were treated with solvent control or 300 nmol/L triclosan. Cells were harvested at indicated time points. (B) MHCC97-H cells were used to form subcutaneous tumor. Sorafenib solution (Sor-Sol) was injected into tumor tissues, and mice were then treated with solvent or 500 μg/kg triclosan. Tumor tissues were harvested at indicated time points. The cell samples or tumor tissue samples were analyzed by LC-MS/MS to value the sustaining of sorafenib concentration. The sustaining curve is shown as mean ± SD. *P<0.05 solvent control group vs triclosan group.

Abbreviation: LC-MS/MS, liquid chromatography/mass spectrometry-mass spectrometry.

Moreover, to test the effect of TCS on sorafenib clearance in vivo, MHCC97-H subcutaneous tumor-bearing mice were administrated with sorafenib solution formulation (Sor-Sol) and then treated with solvent control or 500 μg/kg TCS. Tumor tissues were harvested, and the remaining sorafenib in tumors was examined. As shown in Figure 3B, sorafenib was completely cleared in tumor tissues at 48 hours with a half-life (t1/2 value) of 20.56 ± 0.57 hours. Treatment with 500 μg/kg TCS promoted the clearance of sorafenib in HCC tumors and decreased the half-life (t1/2 value) of sorafenib to 12.39 ± 0.77 hours.

Triclosan enhances sorafenib resistance in HCC

The interaction of TCS and sorafenib in cell or cancer models was examined. As shown in Figure 4, despite sorafenib inhibited MHCC97-H cells proliferation in in vitro model, treatment with 300 nmol/L TCS attenuates the antitumor effect of sorafenib, as the IC50 values of sorafenib on MHCC97-H cells elevated from 1.03 ± 0.07 to 9.64 ± 0.79 μmol/L. Next, to further confirm the effect of TCS on sorafenib’s antitumor effect, patient-derived cell lines were used. As shown in Figure 5, treatment with TCS significantly decreased the antitumor activity of sorafenib on patient-derived cell lines. The IC50 values of sorafenib were increased.
Figure 4

Triclosan decreased the antitumor effect of sorafenib on in vitro MHCC97-H cell proliferation.

Notes: MHCC97-H cells were treated with sorafenib with solvent control, or sorafenib with triclosan. Cells were treated with indicated concentration of drugs (A) or indicated time length (B). Then, cells were harvested for MTT experiments. The dose–effect curve, or time–effect curve, is shown as mean ± SD. *P<0.05 solvent control group versus triclosan group.

Figure 5

Triclosan decreased the antitumor effect of sorafenib on in vitro patient-derived cells’ proliferation.

Notes: Five lines of patient-derived HCC cells were treated with sorafenib with solvent control, or sorafenib with triclosan. Cells were treated with indicated concentration of drugs or indicated time length. Then, cells were harvested for MTT experiments, and the IC50 values of sorafenib on cells were calculated. *P<0.05 solvent control group versus triclosan group.

Abbreviation: HCC, hepatocellular carcinoma.

For in vivo subcutaneous tumors models, the tumor volumes and tumor weights of subcutaneous tumors were evaluated. As shown in Figure 6, treatment with TCS promoted tumor growth, indicating that TCS may act as a tumor promoter, which is consistent with the previous studies.10 Sorafenib, an antitumor drug, significantly inhibited tumor growth compared with control, as predicted. Sorafenib coupled with TCS showed less tumor suppressing effect compared with sorafenib alone, indicating that TCS reduced the antitumor effect of sorafenib.
Figure 6

Triclosan decreased the antitumor effect of sorafenib on MHCC97-H cell subcutaneous model.

Notes: MHCC97-H cells were injected into nude mice to form subcutaneous tumors. Mice were divided into four treatment groups with indicated doses: 1) solvent control, 2) sorafenib, 3) triclosan, and 4) sorafenib + triclosan. Results are shown as (A) photographs, (B) tumor volumes, and (C) tumor weights. *P<0.05 solvent control group versus triclosan group; solvent control group versus sorafenib group.

Next, the intrahepatic MHCC97-H tumor model was established, and TCS, sorafenib, or combined treatments were performed. As shown in Figure 7A, the intrahepatic growth of HCC cells in mice liver was identified by PET/CT screening. As expected, TCS enhanced the PET imaging in liver location compared with solvent control, whereas sorafenib treatment decreased the PET imaging in liver location of mice. TCS attenuated the antitumor effect of sorafenib on intrahepatic growth of HCC cells. The PET imaging was further confirmed by liver-to-blood radioactivation examination (Figure 7A). Also, animals were sacrificed, and livers were collected to identify the nodules formed by HCC cells in liver organs. As shown in Figure 7B, TCS promoted the growth of HCC cells in mice livers, and the nodules formed by HCC cells were larger than those in the control group. Sorafenib treatment significantly attenuated the intrahepatic growth of HCC cells in mice’s liver, and the nodules formed by HCC cells were shrinking compared with those in the control group. TCS attenuated the antitumor effect of sorafenib on intrahepatic growth of HCC cells. Liver organ images were also supported by the PET imaging of separated liver organs (Figure 7B). Taken together, both in vitro and in vivo data indicated that TCS enhanced the sorafenib resistance in HCC tumor models.
Figure 7

Triclosan decreased the antitumor effect of sorafenib on MHCC97-H cell intrahepatic model.

Notes: MHCC97-H cells were injected into nude mice’s liver lope to form intrahepatic tumors. Mice were divided into four groups: 1) solvent control, 2) sorafenib, 3) triclosan, and 4) sorafenib + triclosan. The tumor nodules formed by MHCC97-H cells in mice’s liver were examined by PET/CT scanning. Results are shown as (A) PET/CT results from animals or radioactivation of liver to blood and (B) tumor organs or PET/CT results from liver organs. *P<0.05 solvent control group versus triclosan group; solvent control group versus sorafenib group.

Abbreviation: PET/CT, positron emission tomography/computed tomography.

Discussion

Although molecular targeting agent sorafenib was considered as a new hope for patients with advanced HCC, the overall prognosis and survival are still far from satisfaction.21–23 Due to the genetic heterogeneity of HCC, some patients are intrinsically resistant to sorafenib, whereas for some other patients, acquired resistance to sorafenib often occur during treatment.24 Zhu et al, systemically summarized the potential mechanisms of sorafenib resistance in their recent review.7 However, the environmental inducer of sorafenib resistance remains practically unknown. In the present work, we showed that TCS induced the expression of several drug resistance-related genes in mice, promoted the clearance of sorafenib in both HCC cells and tumors, and enhanced the sorafenib resistance in MHCC97-H cells. The exposure of environmental chemicals, for example, environmental poison or environmental endocrine-disrupting chemicals, remains a public health problem.25 Certain chemicals can disrupt endocrine system and homeostasis.25 TCS can be absorbed through human skin and oral mucosa and have been found persist in various human tissues and fluids.26 Previously, TCS was considered as an endocrine disruptor, which promoted the progress of some endocrine-related human cancers, for example, breast cancer, similar to bisphenol A (BPA).27–30 Yueh et al showed that TCS promotes the progress of cirrhosis and HCC in mice model.10 However, the exact role of TCS in human HCC was unknown. This work reported the roles of TCS in inducing sorafenib resistance for the first time. Drug resistance-related gene clusters chosen in this work include CYP 450, ATP-binding cassette, and other transferases. These genes mediate the clearance of chemical drugs, indicating TCS may induce the expression of drug resistance-related genes to accelerate sorafenib clearance. Interestingly, our results also showed that TCS did not affect the expression of ALDH1A1, Apo E, ADRA2A, DPYD, COMT, TPMT, HTRA, or MTHFR, which all participate in drug resistance, but not by promoting drug metabolism or clearance.31–40 These results confirmed the specificity of TCS function. Moreover, nuclear receptors, for example, peroxisome proliferators-activated receptor (PPAR), pregnane X receptor (PXR), or constitutive androstane receptor (CAR), mediate the transcription of drug-resistance genes upon agonist activation.40–46 Yueh et al indicated that TCS may be an agonist of PPAR, PXR, or CAR.10 Therefore, it is valuable to reveal whether TCS interacts with nuclear receptors in the follow-up investigations.

Conclusion

Our study revealed TCS promotes the clearance of sorafenib and induces sorafenib resistance in HCC cell line and in vivo tumor models, suggesting that exposure of TCS is extremely harmful for HCC patients undergoing sorafenib chemotherapy.
  45 in total

Review 1.  New knowledge of the mechanisms of sorafenib resistance in liver cancer.

Authors:  Yan-Jing Zhu; Bo Zheng; Hong-Yang Wang; Lei Chen
Journal:  Acta Pharmacol Sin       Date:  2017-03-27       Impact factor: 6.150

2.  The commonly used antimicrobial additive triclosan is a liver tumor promoter.

Authors:  Mei-Fei Yueh; Koji Taniguchi; Shujuan Chen; Ronald M Evans; Bruce D Hammock; Michael Karin; Robert H Tukey
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-17       Impact factor: 11.205

3.  Receptor- and cellular compartment-specific activation of the cAMP/PKA pathway by α1-adrenergic and ETA endothelin receptors.

Authors:  Ryan D Martin; Yalin Sun; Kyla Bourque; Nicolas Audet; Asuka Inoue; Jason C Tanny; Terence E Hébert
Journal:  Cell Signal       Date:  2018-01-09       Impact factor: 4.315

4.  Kaempferol, a phytoestrogen, suppressed triclosan-induced epithelial-mesenchymal transition and metastatic-related behaviors of MCF-7 breast cancer cells.

Authors:  Geum-A Lee; Kyung-Chul Choi; Kyung-A Hwang
Journal:  Environ Toxicol Pharmacol       Date:  2016-11-22       Impact factor: 4.860

5.  Putative DNA modification methylase DR_C0020 of Deinococcus radiodurans is an atypical SAM dependent C-5 cytosine DNA methylase.

Authors:  Nayana A Patil; Bhakti Basu; Deepti D Deobagkar; Shree K Apte; Dileep N Deobagkar
Journal:  Biochim Biophys Acta Gen Subj       Date:  2016-12-27       Impact factor: 3.770

Review 6.  Exposure to endocrine disruptors during adulthood: consequences for female fertility.

Authors:  Saniya Rattan; Changqing Zhou; Catheryne Chiang; Sharada Mahalingam; Emily Brehm; Jodi A Flaws
Journal:  J Endocrinol       Date:  2017-03-29       Impact factor: 4.286

7.  The PPARγ agonist rosiglitazone promotes the induction of brite adipocytes, increasing β-adrenoceptor-mediated mitochondrial function and glucose uptake.

Authors:  Jon Merlin; Masaaki Sato; Cameron Nowell; Mohsen Pakzad; Richard Fahey; Jie Gao; Nodi Dehvari; Roger J Summers; Tore Bengtsson; Bronwyn A Evans; Dana S Hutchinson
Journal:  Cell Signal       Date:  2017-09-29       Impact factor: 4.315

8.  Metformin and insulin impact on clinical outcome in patients with advanced hepatocellular carcinoma receiving sorafenib: Validation study and biological rationale.

Authors:  Andrea Casadei Gardini; Luca Faloppi; Serena De Matteis; Francesco Giuseppe Foschi; Nicola Silvestris; Francesco Tovoli; Vincenzo Palmieri; Giorgia Marisi; Oronzo Brunetti; Umberto Vespasiani-Gentilucci; Giuseppe Perrone; Martina Valgiusti; Anna Maria Granato; Giorgio Ercolani; Giulia Negrini; Emiliano Tamburini; Giuseppe Aprile; Alessandro Passardi; Daniele Santini; Stefano Cascinu; Giovanni Luca Frassineti; Mario Scartozzi
Journal:  Eur J Cancer       Date:  2017-10-03       Impact factor: 9.162

9.  Fucoxanthin attenuates rifampin-induced cytochrome P450 3A4 (CYP3A4) and multiple drug resistance 1 (MDR1) gene expression through pregnane X receptor (PXR)-mediated pathways in human hepatoma HepG2 and colon adenocarcinoma LS174T cells.

Authors:  Cheng-Ling Liu; Yun-Ping Lim; Miao-Lin Hu
Journal:  Mar Drugs       Date:  2012-01-23       Impact factor: 6.085

10.  Transcription factor activity of estrogen receptor α activation upon nonylphenol or bisphenol A treatment enhances the in vitro proliferation, invasion, and migration of neuroblastoma cells.

Authors:  Hongda Ma; Yao Yao; Changli Wang; Liyu Zhang; Long Cheng; Yiren Wang; Tao Wang; Erguang Liang; Hui Jia; Qinong Ye; Mingxiao Hou; Fan Feng
Journal:  Onco Targets Ther       Date:  2016-06-13       Impact factor: 4.147

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  11 in total

1.  miR-3609 Decelerates the Clearance of Sorafenib in Hepatocellular Carcinoma Cells by Targeting EPAS-1 and Reducing the Activation of the Pregnane X Receptor Pathway.

Authors:  Qing-Ping Shao; Chen Wei; Jie Yang; Wen-Zhou Zhang
Journal:  Onco Targets Ther       Date:  2020-07-27       Impact factor: 4.147

2.  A novel long-sustaining system of apatinib for long-term inhibition of the proliferation of hepatocellular carcinoma cells.

Authors:  Yanli Wang; Zigui Tang
Journal:  Onco Targets Ther       Date:  2018-11-29       Impact factor: 4.147

3.  Anticancer efficiency of cycloartane triterpenoid derivatives isolated from Cimicifuga yunnanensis Hsiao on triple-negative breast cancer cells.

Authors:  Xiao Li; Wei Wang; Yi Fan; Yue Wei; Li-Qin Yu; Ji-Fu Wei; Yi-Fen Wang
Journal:  Cancer Manag Res       Date:  2018-12-06       Impact factor: 3.989

4.  Quaternized chitosan promotes the antiproliferative effect of vemurafenib in melanoma cells by increasing cell permeability.

Authors:  Min Li; Ying Yang
Journal:  Onco Targets Ther       Date:  2018-11-22       Impact factor: 4.147

5.  MicroRNA-140-3p enhances the sensitivity of hepatocellular carcinoma cells to sorafenib by targeting pregnenolone X receptor.

Authors:  Jiaqi Li; Jing Zhao; Huan Wang; Xiaohan Li; Aixia Liu; Qin Qin; Boan Li
Journal:  Onco Targets Ther       Date:  2018-09-17       Impact factor: 4.147

6.  ARQ-197 enhances the antitumor effect of sorafenib in hepatocellular carcinoma cells via decelerating its intracellular clearance.

Authors:  Xudong Gao; Hebing Chen; Xin Huang; Hao Li; Zhen Liu; Xiaochen Bo
Journal:  Onco Targets Ther       Date:  2019-02-26       Impact factor: 4.147

7.  miR-596 suppresses the expression of Survivin and enhances the sensitivity of osteosarcoma cells to the molecular targeting agent anlotinib.

Authors:  Leisheng Wang; He En; Lei Yang; Yanbing Zhang; Baisheng Sun; Jianjiang Gao
Journal:  Onco Targets Ther       Date:  2019-08-21       Impact factor: 4.147

8.  MicroRNA-3163 targets ADAM-17 and enhances the sensitivity of hepatocellular carcinoma cells to molecular targeted agents.

Authors:  Bin Yang; Chunping Wang; Hui Xie; Yiwu Wang; Jiagan Huang; Yihui Rong; Huixin Zhang; Huifang Kong; Yongping Yang; Yinying Lu
Journal:  Cell Death Dis       Date:  2019-10-14       Impact factor: 8.469

9.  LINE-1 ORF-1p enhances the transcription factor activity of pregnenolone X receptor and promotes sorafenib resistance in hepatocellular carcinoma cells.

Authors:  Yan Chen; Qinglei Zeng; Xiufang Liu; Junliang Fu; Zhen Zeng; Zhiqin Zhao; Ze Liu; Wenlin Bai; Zheng Dong; Hongjin Liu; Xiaoxia Lu; Yunfeng Zhu; Yinying Lu
Journal:  Cancer Manag Res       Date:  2018-10-10       Impact factor: 3.989

10.  Quantitative examination of the inhibitory activation of molecular targeting agents in hepatocellular carcinoma patient-derived cell invasion via a novel in vivo tumor model.

Authors:  Huiwei Sun; Fan Feng; Hui Xie; Xiaojuan Li; Qiyu Jiang; Yantao Chai; Zhijie Wang; Ruichuang Yang; Ruisheng Li; Jun Hou
Journal:  Animal Model Exp Med       Date:  2019-09-27
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