Literature DB >> 33051247

Pharmacokinetic and Pharmacodynamic Factors Contribute to Synergism between Let-7c-5p and 5-Fluorouracil in Inhibiting Hepatocellular Carcinoma Cell Viability.

Joseph L Jilek1, Mei-Juan Tu1, Chao Zhang1, Ai-Ming Yu2.   

Abstract

Pharmacological interventions for hepatocellular carcinoma (HCC) are hindered by complex factors, and rational combination therapy may be developed to improve therapeutic outcomes. Very recently, we have identified a bioengineered microRNA let-7c-5p (or let-7c) agent as an effective inhibitor against HCC in vitro and in vivo. In this study, we sought to identify small-molecule drugs that may synergistically act with let-7c against HCC. Interestingly, we found that let-7c exhibited a strong synergism with 5-fluorouracil (5-FU) in the inhibition of HCC cell viability as manifested by average combination indices of 0.3 and 0.5 in Hep3B and Huh7 cells, respectively. By contrast, coadministration of let-7c with doxorubicin or sorafenib inhibited HCC cell viability with, rather surprisingly, no or minimal synergy. Further studies showed that protein levels of multidrug resistance-associated protein (MRP) ATP-binding cassette subfamily C member 5 (MRP5/ABCC5), a 5-FU efflux transporter, were reduced around 50% by let-7c in HCC cells. This led to a greater degree of intracellular accumulation of 5-FU in Huh7 cells as well as the second messenger cyclic adenosine monophosphate, an endogenous substrate of MRP5. Since 5-FU is an irreversible inhibitor of thymidylate synthetase (TS), we investigated the interactions of let-7c with 5-FU at pharmacodynamic level. Interestingly, our data revealed that let-7c significantly reduced TS protein levels in Huh7 cells, which was associated with the suppression of upstream transcriptional factors as well as other regulatory factors. Collectively, these results indicate that let-7c interacts with 5-FU at both pharmacokinetic and pharmacodynamic levels, and these findings shall offer insight into molecular mechanisms of synergistic drug combinations. SIGNIFICANCE STATEMENT: Combination therapy is a common strategy that generally involves pharmacodynamic interactions. After identifying a strong synergism between let-7c-5p and 5-fluorouracil (5-FU) against hepatocellular carcinoma cell viability, we reveal the involvement of both pharmacokinetic and pharmacodynamic mechanisms. In particular, let-7c enhances 5-FU exposure (via suppressing ABCC5/MRP5 expression) and cotargets thymidylate synthase with 5-FU (let-7c reduces protein expression, whereas 5-FU irreversibly inactivates enzyme). These findings provide insight into developing rational combination therapies based on pharmacological mechanisms.
Copyright © 2020 by The Author(s).

Entities:  

Year:  2020        PMID: 33051247      PMCID: PMC7684025          DOI: 10.1124/dmd.120.000207

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


Introduction

Targeted therapies for hepatocellular carcinoma (HCC) have been of recent interest (Chen et al., 2020) given the steady increase in HCC incidence over the past few decades (Siegel et al., 2020). The multikinase inhibitors sorafenib (SFB) (Gusani et al., 2009) and its second line analog regorafenib (Rimassa et al., 2017) have been major medications approved by the Food and Drug Administration for the treatment of HCC that only offer moderate benefit to improve overall survival. A randomized clinical trial among patients with advanced HCC revealed an approximate 6-month increase in mean survival by SFB treatment (Llovet et al., 2008). In patients who progressed on SFB, the mean survival was extended for another 6 months by regorafenib treatment (Bruix et al., 2017). Finally, although very recent approval of immunotherapy drugs, such as nivolumab, ramucirumab, pembrolizumab, atezolizumab, and bevacizumab alone or in combination, for the treatment of HCC has brought new hopes, progression-free survival remains low at several months to 1 year (El-Khoueiry et al., 2017; Zhu et al., 2017; Feun et al., 2019; Finn et al., 2020). As such, continued investment in more effective targeted therapies are needed for patients with HCC. Very recently, our group has identified and characterized a bioengineered microRNA (miRNA or miR) let-7c-5p (or let-7c) agent for HCC therapy (Jilek et al., 2019). Using a large collection of miRNA agents with a common expression scaffold, we found that let-7c effectively inhibited HCC cell viability and tumor sphere formation in vitro through selective suppression of targeted (proto-)oncogenes. Additionally, liposome-polyplexed let-7c greatly released orthotopic HCC tumor burden and significantly extended overall survival of tumor-bearing mice in vivo (Jilek et al., 2019). Nevertheless, this bioengineered let-7c molecule alone did not completely block or eradicate tumor progression, warranting further improvement to enhance therapeutic efficacy. Combination therapy is a common strategy for improved treatment of advanced cancer diseases (Webster, 2016), and we have been exploring new rational combinations according to their mechanisms of actions, including pharmacokinetic interactions between particular miRNAs and small-molecule drugs (Yu et al., 2016). SFB, the multikinase inhibitor used in first-line treatment of unresectable HCC (Llovet et al., 2008), is the top candidate to investigate possible combination therapy with let-7c against HCC. The DNA-intercalating doxorubicin (DOX) being approved for the management of various kinds of cancer is a chemotherapeutics being combined with other medications toward possible improvement of therapeutic outcomes among patients with advanced HCC (Abou-Alfa et al., 2019). Although it is indicated primarily for colorectal cancer, the antimetabolite 5-fluorouracil (5-FU) has been investigated for combination therapy for patients with advanced HCC (Qin et al., 2013; Goyal et al., 2019). The most well understood mechanism of action of 5-FU is irreversible inactivation of thymidylate synthetase (TS) by covalent linkage to its active metabolite, 5-fluoro-2′-deoxyuridylate (FdUMP), leading to cell death by impaired thymidine biosynthesis (Longley et al., 2003). Meanwhile, incorporation of fluorinated metabolites of 5-FU into DNA and RNA may contribute to its pharmacological effects. In this study, we first compared the effectiveness of combination treatments of bioengineered let-7c with SFB, DOX, and 5-FU in the inhibition of HCC cell viability. Surprisingly, let-7c plus 5-FU combination treatment exhibited a strong synergism, whereas none or minimal was exhibited for let-7c plus SFB or DOX. We then provided metabolic and biochemical evidence to elucidate the mechanisms underlying synergy between 5-FU and let-7c, which involved both pharmacokinetic and pharmacodynamic interactions.

Materials and Methods

Chemicals.

5-FU, chlorzoxazone, and cAMP were purchased from Sigma-Aldrich (St. Louis, MO). SFB and DOX were purchased from LC Laboratories (Woburn, MA). Methanol, water, acetonitrile, ethyl acetate, and formic acid were all analytical grade and purchased from Thermo Fisher Scientific (Waltham, MA).

Cell Culture.

Huh7 cells were purchased from Japanese Collection of Research Bioresources and grown in Dulbecco’s modified Eagle’s medium (Gibco, Grand Island, NY). Hep3B cells were bought from American Type Culture Collection (Manassas, VA) and cultured in Eagle’s Minimum Essential Medium (Corning, Glendale, AZ). Cell culture medium was supplemented with 10% fetal bovine serum (Gibco) and 1% antibiotic/antimycotic (Corning). Cells were cultured at 37°C in a humidified incubator with 5% CO2.

Production of Recombinant RNA Agents.

Bioengineered let-7c and truncated control [Sephadex aptamer–tagged methionyl-transfer RNA (MSA)] were cloned, expressed in Escherichia coli, purified by anion exchange or size-exclusion chromatography, and assayed for homogeneity as previously described (Ho et al., 2018; Jilek et al., 2019).

Cell Viability, Dose-Response Relationship, and Calculation of Combination Index.

HCC cells were seeded in 96-well plates at a density of 5000 cells/well prior to transfection with let-7c or control MSA by using LipofectAMINE 3000 reagent (Life Technologies, Grand Island, NY) per the manufacturer’s instructions. After 6 hours, transfection media were removed and replaced with media containing various concentrations of 5-FU diluted in dimethyl sulfoxide (final concentration 0.1%, v/v). Seventy-two hours after initial treatment, cell viability was measured by using the CellTitre Glo 3.0 luminometric ATP assay (Promega, Madison, WI) and following the manufacturer’s instructions. The degree of inhibition of cell viability was normalized to corresponding vehicle control (0% inhibition by 0 nM drug). Data were fit to an inhibitory dose-response model with variable slope (Prism; GraphPad, San Diego, CA) with acceptable goodness of fit (R2 = 0.90–0.99). The equation is:Drug combination index (CI) was calculated by using CompuSyn software. Briefly, percent inhibition was first converted to fraction affected (Fa) (i.e., ). All combinations of RNA agents and small-molecule chemo-drugs with respective Fa values were analyzed by CompuSyn to generate respective CI values. The Chou-Talalay plots (Chou, 2010) were established by plotting log(CI) against Fa, in which log(CI) > 0 indicates antagonism, log(CI) = 0 indicates addition, and log(CI) < 0 indicates synergism.

Immunoblot Analysis.

Huh7 cells were seeded in six-well plates at a density of 300,000 cells/well and transfected with 15 nM of bioengineered let-7c or control MSA using LipofectAMINE 3000 reagent. Cells were harvested in ice-cold PBS at 72 hours post-transfection and lysed in radioimmunoprecipitation assay buffer consisting of complete proteinase inhibitors cocktail (Sigma). Protein concentrations were determined by bicinchoninic acid assay (BCA) assay (Pierce, Rockford, IL). Whole cell proteins (15–25 µg per sample) were denatured in Laemmli buffer, resolved on TGX Stain-Free polyacrylamide gel (Bio-Rad, Hercules, CA), immobilized on polyvinylidene difluoride (for transporter detection) or nitrocellulose (for all other protein detection), and imaged for total protein per the manufacturer’s instructions. Membranes were blocked in 5% nonfat milk in Tris-buffered saline, incubated overnight at 4°C in primary antibody diluted in 5% bovine serum albumin in Tris-buffered saline, and then incubated for 2 hours at room temperature in appropriate secondary antibodies. Relative protein expression was determined by enhanced chemiluminescence detection and imaging (Bio-Rad) and normalized to respective total protein levels. Antibodies used in this study were: anti-multidrug resistance–associated protein (MRP) 4 (ABCC4) rat monoclonal (3369; Abcam), anti-MRP5/ABCC5 rat polyclonal ( 180724; Abcam), anti–breast cancer resistance protein (BCRP) (ABCG2) rabbit monoclonal (42078; Cell Signaling), anti–pan-rat sarcoma (RAS) mouse monoclonal (Ras10; Thermo Fisher Scientific), anti-TS rabbit monoclonal (9045; Cell Signaling), anti–AT-rich interactive domain-containing protein 3B (ARID3B) rabbit polyclonal (92328, Abcam), anti–cellular myelocytomatosis oncogene (c-MYC) rabbit monoclonal (13987; Cell Signaling), anti–Lin-28 homolog B (LIN28B) rabbit monoclonal (11965; Cell Signaling), horseradish peroxidase (HRP)-conjugated anti-Rabbit IgG (111-035-003; Jackson ImmunoReseach), HRP-conjugated anti-Mouse IgG (7076; Cell Signaling), and HRP-conjugated anti-Rat IgG (7077; Cell Signaling).

Liquid Chromatography with Tandem Mass Spectrometry Quantification of 5-FU Uptake.

Huh7 cells were seeded in 24-well plates at a density of 50,000 cells/well and transfected with 5 nM of let-7c or MSA. After 72 hours, cells were washed twice with PBS and incubated with either 10 µM of 5-FU in Hank’s balanced salt solution (Gibco) for 30, 60, or 90 minutes. To terminate the incubation, 5-FU containing salt solution was removed, and cells were washed twice with ice-cold PBS and lysed directly on the plate with 500 µl of double distilled H2O containing 10 nM of chlorzoxazone as an internal standard (IS). The cell suspension was then subjected to a brief sonication, and an aliquot was used for the quantification of protein concentrations by using BCA assay (Pierce). Proteins were then precipitated by adding 1 ml ice-cold acetonitrile and removed by centrifugation at 13,000g for 10 minutes. Analytes were isolated by liquid-liquid extraction with 3 ml of ethyl acetate. Analytes were recovered by drying the upper (organic) phase over air and resuspending in 50 µl of water/methanol (1/1; v/v) consisting of 0.1% formic acid, and 5 µl was injected for liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis by using an AB Sciex 4000 QTRAP tandem mass spectrometry system (AB Sciex, Framingham, MA) equipped with a Shimadzu Prominence Ultra-Fast Liquid Chromatography system (Shimadzu Corporation, Kyoto, Japan). 5-FU and chlorzoxazone were separated over an Agilent Zorbax C18 column by isocratic elution with water/methanol (1/1; v/v) containing 0.1% formic acid at a flow rate of 0.6 ml/minute. Analytes were detected in negative electrospray ionization mode using the following source parameters: −4.5 kV ion spray voltage, 400°C source temperature, 20 psi curtain gas pressure, 25 psi gas 1 pressure, 75 psi gas 2 pressure, and −10 V entrance potential, with multiple reaction monitoring, mass to charge (m/z) 129.0→42.0 for 5-FU, and m/z 167.8→131.9 for the IS. Linear calibration range of 5-FU was 1−1000 nM. Accuracy was 98.4%–100%, and precision was <16%.

LC-MS/MS Quantification of Intracellular cAMP Levels.

Huh7 cells were seeded in six-well plates at a density of 500,000 cells/well and transfected with 10 nM of let-7c, 1 µM of 5-FU, or vehicle. After 72 hours, cells were harvested and washed twice with ice-cold PBS, scraped in ice-cold PBS, and pelleted at 700g for 5 minutes at 4°C. Cell pellets were resuspended in 100 µl of water and subjected to three consecutive freeze-thaw cycles (liquid nitrogen and 37°C water bath) to lyse cells, and an aliquot was removed for total protein quantification by BCA assay for normalization of intracellular nucleotide concentrations. Ice-cold acetonitrile (400 µl) containing 200 nM of chloro-phenylalanine (IS) was added to another aliquot of 80 µl cell lysate to precipitate proteins that were removed by centrifugation at 13,000g for 10 minutes at 4°C. The supernatant was dried over air, and the residue was reconstituted in 50 µl of water with 0.1% formic acid. A Synergi Fusion-RP column (2.0 × 50 mm, 4 µm; Phenomenex) was used to separate cAMP and IS through gradient elution with solution A (water with 0.1% formic acid) and solvent B (methanol): 0% B (1 minute), 0%–20% B (5 minutes), 20%–100% B (0.5 minutes), 100% B (0.5 minutes), 100%–0% B (0.5 minutes), and 0% B (1 minute). Samples were analyzed in negative electrospray ionization mode using the following source parameters: −3.5 kV ion spray voltage, 600°C source temperature, 25 psi curtain gas pressure, 70 psi gas 1 pressure, 50 psi gas 2 pressure, and −10 V entrance potential, with multiple reaction monitoring, m/z 328.0→133.9 for cAMP, and m/z 197.8→136.9 for the IS. Linear calibration range ranging from 0.1 to 500 nM was established for cAMP. Accuracy was 92.6%–96.5%, and precision was within 10%.

Statistical Analysis.

Values are mean ± S.D.. Data were analyzed by one-way ANOVA with Bonferroni’s post-tests (GraphPad Prism). Difference was considered statistically significant when P < 0.05.

Results

Strong Synergism Is Identified for Let-7c and 5-FU Combination Treatment in the Inhibition of Human HCC Cell Viability.

Three small-molecule drugs, SFB, DOX, and 5-FU, were chosen for the investigation of possible combination therapies with let-7c against HCC. Our data showed that all drugs exhibited sigmoidal dose-response curves in the presence of let-7c or control MSA against both Hep3B and Huh7 cell viability (Fig. 1A). All data fit well to the inhibitory dose-response model with variable slopes, and values of respective pharmacodynamic parameters, including EC50, Hill slope, and Emin, were estimated (Table 1 and 2). Consistent with our recent findings (Jilek et al., 2019), let-7c itself at a relatively higher concentration (2.5 nM) or in combination with lower concentrations of chemo-drugs (e.g., 0.02 nM DOX or 1 nM 5-FU) already showed an obvious reduction of HCC cell viability, which was also indicated by greater Emin values for let-7c combinations than for corresponding MSA control treatments (Table 1 and 2). The increase in Emin values for let-7c combinations relative to respective MSA control combinations was consistently shown for every small-molecule drug. Interestingly, coadministration of let-7c with 5-FU elicited significantly lower EC50 values than control MSA (Table 1 and 2) in both Hep3B and Huh7 cells, whereas minimal or insignificant changes were noted for let-7c combinations with DOX or SFB relevant to corresponding MSA controls.
Fig. 1.

Bioengineered let-7c exerts a strong synergism with 5-FU but none or minimal with DOX or SFB in the inhibition of HCC cell viability. (A) Huh7 and Hep3B cells transfected with 1 or 2.5 nM of bioengineered let-7c or control MSA were treated with various concentrations of 5-FU, DOX, or SFB. Inhibition of cell viability was measured by ATP luminometric assay, and the data were fit to an inhibitory dose-response model. Vehicle control was set as 0% inhibition. (B) The Chou-Talalay plots [log(CI) vs. Fa] revealed a strong synergism for let-7c plus 5-FU combination treatment.

TABLE 1

Pharmacodynamic parameters estimated for DOX, SFB, and 5-FU as combined with let-7c or control MSA in the inhibition of Hep3B cell viability

MSALet-7c
1.0 nM2.5 nM1.0 nM2.5 nM
EC50DOX (nM)230.3±1.1240.2±1.1205.9±1.1230.2±1.2
SFB (µM)4.8±1.15.2±1.04.9±1.05.2±1.0
5-FU (µM)237.2±1.3132.6±1.756.9±1.9*2.4±3.4*
EminDOX (nM)1.7±1.6>0.0514.2±1.1*43.2±1.1*
SFB (µM)8.4±1.53.8±0.712.0±1.031.7±1.0*
5-FU (µM)7.2±2.914.1±4.39.9±5.633.5±8.0*
Hill slopeDOX1.4±0.21.6±0.21.6±0.21.6±0.2
SFB2.8±0.42.9±0.12.5±0.22.4±0.3
5-FU0.8±0.10.4±0.10.3±0.10.3±0.1
R2DOX0.980.990.990.98
SFB0.990.990.990.99
5-FU0.960.910.920.94

P < 0.05 compared with corresponding MSA control treatment.

TABLE 2

Pharmacodynamic parameters estimated for DOX, SFB, and 5-FU as combined with let-7c or control MSA in the inhibition of Huh7 cell viability

MSALet-7c
1.0 nM2.5 nM1.0 nM2.5 nM
EC50DOX (nM)150.8±1.269.9±1.6117.8±1.2120.9±1.4
SFB (µM)6.4±1.05.4±1.15.9±1.13.9±1.4
5-FU (µM)113.9±1.5121.6±1.423.8±1.3*0.2±14.9*
EminDOX (nM)17.9±1.921.7±4.326.2±2.0*44.1±2.1*
SFB (µM)15.9±1.432.3±1.832.9±1.3*54.1±3.6*
5-FU (µM)1.3±4.00.00±4.473.2±2.40.00±31.7
Hill slopeDOX0.7±0.10.5±0.10.7±0.10.6±0.1
SFB2.4±0.32.3±0.42.3±0.31.1±0.4
5-FU0.5±0.10.6±0.10.4±0.00.2±0.1
R2DOX0.980.930.970.95
SFB0.990.970.990.86
5-FU0.920.940.990.90

P < 0.05 compared with corresponding MSA control treatment.

Bioengineered let-7c exerts a strong synergism with 5-FU but none or minimal with DOX or SFB in the inhibition of HCC cell viability. (A) Huh7 and Hep3B cells transfected with 1 or 2.5 nM of bioengineered let-7c or control MSA were treated with various concentrations of 5-FU, DOX, or SFB. Inhibition of cell viability was measured by ATP luminometric assay, and the data were fit to an inhibitory dose-response model. Vehicle control was set as 0% inhibition. (B) The Chou-Talalay plots [log(CI) vs. Fa] revealed a strong synergism for let-7c plus 5-FU combination treatment. Pharmacodynamic parameters estimated for DOX, SFB, and 5-FU as combined with let-7c or control MSA in the inhibition of Hep3B cell viability P < 0.05 compared with corresponding MSA control treatment. Pharmacodynamic parameters estimated for DOX, SFB, and 5-FU as combined with let-7c or control MSA in the inhibition of Huh7 cell viability P < 0.05 compared with corresponding MSA control treatment. To define whether synergism occurs for specific combination treatment, we employed Chou-Talalay method (Chou, 2010) to calculate individual CI values and plotted them against the Fa values (Fig. 1B). When individual small-molecule drugs were combined with control MSA, all three combinations elicited either additive or slightly antagonistic effects because the average log(CI) values were not significantly less than zero (Fig. 1B). To our surprise, SFB plus let-7c combination did not produce any significant synergistic effects in either Hep3B or Huh7 cells, and DOX plus let-7c combination only showed a synergism in Hep3B cells. By contrast, combination treatment with 5-FU and let-7c consistently elicited a synergism for the inhibition of both Hep3B [mean log(CI) = −0.48 ± 0.29; 95% confidence interval −0.65 to −0.31] and Huh7 [mean log(CI) = −0.32 ± 0.38; 95% confidence interval −0.59 to −0.05] cells (Fig. 1B).

Transporter MRP5/ABCC5 Protein Levels Are Reduced by Let-7c in Huh7 Cells.

To determine potential pharmacokinetic mechanism underlying the synergism between let-7c and 5-FU against HCC cell viability, we evaluated the impact of let-7c on protein expression of MRP5 by immunoblot, as MRP5 confers resistance to 5-FU (Pratt et al., 2005). Our data showed that MRP5 protein levels were significantly decreased by let-7c for approximately 50% in Huh7 cells as compared with control MSA and vehicle treatments (Fig. 2A). Since resistance to 5-FU may be mediated by other efflux transporters (Yuan et al., 2009; Nambaru et al., 2011) overexpressed in Huh7 cells, the protein levels of MRP4/ABCC4 and BCRP/ABCG2 were also evaluated. A slight decrease of 17% in MRP4 expression was observed in cells treated with let-7c, but this is not statistically significant as compared with MSA treatment. In addition, BCRP protein levels were not altered by bioengineered let-7c in Huh7 cells (Fig. 2A). The results suggest potential involvement of let-7cMRP5 pathway in the modulation of Huh7 cell sensitivity to 5-FU.
Fig. 2.

Let-7c reduces the expression of efflux transporters to improve intracellular 5-FU and cAMP accumulation in Huh7 cells. (A) Immunoblot analyses showed that MRP5 but not MRP4 or BCRP was the most significantly suppressed after let-7c treatment. aP < 0.05; bP < 0.05, as compared with the vehicle and MSA treatments, respectively. Cells were treated with let-7c or control RNA for 72 hours. Transporter levels were normalized to corresponding total protein levels, and vehicle control group was set as 1.00. This led to a greater intracellular accumulation of exogenous 5-FU (B) and retention of endogenous cAMP (C) compared with control MSA or vehicle treatment. Values are mean ± S.D. (N = 3/group). *P < 0.05; ***P < 0.001 (one-way ANOVA with Bonferroni’s post hoc test).

Let-7c reduces the expression of efflux transporters to improve intracellular 5-FU and cAMP accumulation in Huh7 cells. (A) Immunoblot analyses showed that MRP5 but not MRP4 or BCRP was the most significantly suppressed after let-7c treatment. aP < 0.05; bP < 0.05, as compared with the vehicle and MSA treatments, respectively. Cells were treated with let-7c or control RNA for 72 hours. Transporter levels were normalized to corresponding total protein levels, and vehicle control group was set as 1.00. This led to a greater intracellular accumulation of exogenous 5-FU (B) and retention of endogenous cAMP (C) compared with control MSA or vehicle treatment. Values are mean ± S.D. (N = 3/group). *P < 0.05; ***P < 0.001 (one-way ANOVA with Bonferroni’s post hoc test).

Intracellular Accumulation of Exogenous 5-FU and Endogenous cAMP Is Enhanced by Let-7c in Huh7 Cells.

We then directly examined the consequent effects on intracellular accumulation of 5-FU drug by using an accurate LC-MS/MS method. Our data showed that intracellular 5-FU concentrations were 6.6- and 3.3-fold higher in Huh7 cells treated with let-7c than those transfected with control MSA at 60 and 90 minutes postexposure to 10 µM of 5-FU, respectively (Fig. 2B). Furthermore, we established an LC-MS/MS method to examine the effects of let-7c on the intracellular levels of cAMP, an important “second messenger” and endogenous substrate of MRP4 and MRP5 (Wielinga et al., 2003). cAMP levels were revealed to be elevated approximately 2-fold in Huh7 cells at 72 hours post-treatment with 10 nM of let-7c compared with control MSA and vehicle treatments (Fig. 2C). Taken together, these data functionally corroborate the reduction of MRP5 expression by let-7c in Huh7 cells.

Let-7c Reduces the Expression of TS, the Direct Target of 5-FU Metabolite FdUMP.

Given the modest perturbation in 5-FU uptake via let-7c–mediated suppression of MRP5 expression, we then evaluated the impact of let-7c on TS, the primary target of 5-FU. After the treatment with 5-FU, immunoblot analysis revealed two TS bands (Fig. 3), with one being FdUMP-bound or inactivated protein band (upper) and one being noninhibited or active protein band (lower), as reported (Drake et al., 1993). By contrast, only one active TS protein band was present in cells subjected to vehicle treatment. Interestingly, let-7c (10 nM) treatment alone sharply suppressed the protein levels of TS in Huh7 cells at 48 and 72 hours post-treatment (Fig. 3). Although this effect was marginally reversed in cells cotreated with let-7c and 5-FU (10 nM + 1 µM, respectively) relevant to let-7c alone, reduction of TS protein levels (unbound, FdUMP-bound, and total) by let-7c (let-7c plus 5-FU vs. 5-FU alone) was consistently demonstrated (Fig. 3).
Fig. 3.

Let-7c suppresses TS expression in Huh7 cells, whereas 5-FU inhibits 5-FU. Expression of TS and other related proteins in Huh7 cells was analyzed by immunoblot at 24, 48, and 72 hours post-treatment with 5-FU (1 µM) and let-7c (10 nM) alone or in combination. Cotargeting TS by 5-FU and let-7c is manifested by the appearance of 5-FU metabolite FdUMP-bound (inhibited, top band) TS in cells treated with 5-FU and significant reduction of unbound and total TS protein levels in cells treated with let-7c. Protein levels of known let-7c–targeted genes RAS, ARID3B, LIN28B, and cellular myelocytomatosis oncogene (c-MYC) were also significantly reduced by bioengineered let-7c. Protein expression level was normalized to corresponding total protein (Tol. prot.) level, and differences between each treatment groups were compared by one-way ANOVA with Bonferroni’s post hoc tests. Values are mean ± S.D. (N = 3/group). P < 0.05, compared with vehicle (a), 5-FU alone (b), or let-7c alone (c).

Let-7c suppresses TS expression in Huh7 cells, whereas 5-FU inhibits 5-FU. Expression of TS and other related proteins in Huh7 cells was analyzed by immunoblot at 24, 48, and 72 hours post-treatment with 5-FU (1 µM) and let-7c (10 nM) alone or in combination. Cotargeting TS by 5-FU and let-7c is manifested by the appearance of 5-FU metabolite FdUMP-bound (inhibited, top band) TS in cells treated with 5-FU and significant reduction of unbound and total TS protein levels in cells treated with let-7c. Protein levels of known let-7c–targeted genes RAS, ARID3B, LIN28B, and cellular myelocytomatosis oncogene (c-MYC) were also significantly reduced by bioengineered let-7c. Protein expression level was normalized to corresponding total protein (Tol. prot.) level, and differences between each treatment groups were compared by one-way ANOVA with Bonferroni’s post hoc tests. Values are mean ± S.D. (N = 3/group). P < 0.05, compared with vehicle (a), 5-FU alone (b), or let-7c alone (c). Since TS is not a direct target of let-7c, reduction of TS protein levels by let-7c may be attributable to the regulation of its upstream regulatory factors. Given the findings that let-7c directly represses the transcription factor c-MYC (Kim et al., 2009), which regulates TS (Mannava et al., 2008) as well as RAS (Johnson et al., 2005), that is able to control c-MYC expression (Kerkhoff et al., 1998; Sears et al., 2000), we further evaluated the expression of c-MYC and RAS. Our data showed that RAS protein levels were consistently reduced in Huh7 cells at 24–72 hours post-treatment with let-7c alone or combination with 5-FU compared with corresponding controls (Fig. 3). Furthermore, c-Myc protein levels were significantly lower in cells at 24 hours after let-7c treatments but recovered at 72 hours. In addition, protein levels of LIN28B and ARID3B, which are canonical targets of let-7c, were consistently suppressed in Huh7 cells by bioengineered let-7c treatments independent of 5-FU treatment. Together, these results demonstrate a cooperative targeting of TS by let-7c and 5-FU.

Discussion

Combination therapy has posed a promising strategy in oncology (Webster, 2016) for the treatment of advanced, metastatic, and recurring cancer diseases when monotherapy is less or not effective. Significant challenges arise in experimental identification of effective drug combinations from large numbers of possible combinations, although bioinformatic methods (Preuer et al., 2018) might make some predictions. Furthermore, determination of synergistic, additive, or antagonistic effects requires valid experimental design and data analysis with correct algorisms (Chou, 2006, 2010; Tallarida, 2006), and the underlying mechanisms may involve complex interactions. Previously, RNA agents have been shown to modulate mainly the pharmacokinetics of small-molecule drugs coadministered or act on pharmacological targets different from chemotherapeutics, leading to the improvement of anticancer effects (Pan et al., 2009; Li et al., 2015, 2018; Zhao et al., 2015; Tu et al., 2019; Yi et al., 2020). In this study, we surprisingly identified that let-7c inhibits HCC cell viability synergistically with 5-FU but no or minimal with SFB or DOX, which was firmly established by using the Chou-Talalay method (Chou, 2006, 2010). Additionally, our new findings on the reduction of 5-FU transporter MRP5 and 5-FU–targeted TS by let-7c indicate the presence of both pharmacokinetic and pharmacodynamic mechanisms behind the synergism between let-7c and 5-FU. DOX is a potent cytotoxic chemotherapeutic functioning primarily by DNA intercalation and suppression of topoisomerase II (Pommier et al., 2010). Since DOX is limited clinically by dose-limiting cumulative cardiotoxicity, dose reduction via combination therapy is a promising strategy. Additionally, high-dose DOX-mediated apoptosis is mitigated by B-cell lymphoma–extra large protein (Park et al., 2007), and let-7c–mediated suppression of B-cell lymphoma–extra large may potentially enhance DOX efficacy. However, we did not observe significant synergy between let-7c and DOX in HCC cells, which is different from our previous findings on synergism for rationally designed miR-34a plus DOX combination in osteosarcoma cells (Zhao et al., 2015; Jian et al., 2017). This observation may be in part a result of let-7 family–mediated suppression of caspase-3 (Tsang and Kwok, 2008) despite the general regard for let-7 as a tumor-suppressive miRNA. Furthermore, combination drug response is highly dependent on the experimental system. For example, the most potent target of multikinase inhibitor SFB is the vascular endothelial growth factor receptor (Wilhelm et al., 2004), which may likely be more relevant in suppression of angiogenesis in an in vivo system. Additionally, the absence of synergy between let-7c plus SFB combination against HCC cells may also be attributable to redundancies in targets because the mitogen-activated protein kinase pathway suppression via rapidly accelerated fibrosarcoma and RAS inhibition (by SFB and let-7c, respectively) may not elicit synergy in a cell-based system (Lyons et al., 2001). Development of multidrug resistance is a common problem for antineoplastic drugs, and it may involve several mechanisms (Choi and Yu, 2014), including overexpression of efflux transporters, alteration of drug targets, or change of the tumor microenvironment. Common to many small-molecule chemotherapeutics, 5-FU efficacy is strongly hindered by overexpression of efflux transporters. Among them, MRP5 and MRP8 have been found to confer chemoresistance to 5-FU in multiple cancer types (Oguri et al., 2007; Nambaru et al., 2011), and respective strategies are under evaluation to reduce transporter expression or block transporter activity (Choi and Yu, 2014; Li et al., 2016). Alternatively, enhanced expression of TS, the primary pharmacological target of 5-FU, has been shown to confer chemoresistance in patients (Peters et al., 2002) and is induced after 5-FU treatment (Longley et al., 2002). Indeed, this study revealed a persistent expression of active TS in HCC cells after 5-FU treatment in addition to the inactivated or FdUMP-bound TS, suggesting the presence of compensatory mechanisms and likelihood of resistance. However, coadministered let-7c was able to reduce TS protein levels in HCC cells beyond the suppression of MRP5. As such, a strong synergy was observed for let-7c plus 5-FU combination treatment in the inhibition of HCC cell viability, offering insights into developing more effective therapeutic approaches. In addition to pleiotropic regulation of target gene expression with contributions to oncogenesis, many miRNAs have been shown to contribute to drug metabolism and disposition via regulating the expression of enzymes, transporters, or their regulatory factors (Yu and Pan, 2012; Yu et al., 2016). Many MRP transporters were found to be dysregulated in patient tissues with HCC (Borel et al., 2012). Of these, MRP5 was significantly upregulated in HCC tissues and inversely correlated with let-7a levels. Since let-7 family miRNAs are predicted to act directly on the mRNA of MRP5 (Agarwal et al., 2015), further studies using luciferase reporter assay supported a direct regulation of MRP5 by let-7a (Borel et al., 2012). Meanwhile, we cannot exclude possible contributions from let-7–mediated regulation of any transcription factors upstream of MRP5, which is a common “indirect” mechanism underlying miRNA-controlled regulation of drug transporters and metabolic enzymes (Yu et al., 2016). Rather, the present study is the first to demonstrate that MRP5 protein expression was suppressed by a let-7 family miRNA in human carcinoma cells. In addition, we revealed that let-7c–mediated suppression of MRP5 subsequently enhanced intracellular accumulation of 5-FU levels. Functional consequence of let-7cMRP5 signaling in Huh7 cells was also supported by a simultaneous increase of intracellular cAMP levels, an endogenous substrate of MRP5. Notably, MRP5 expression was only reduced by 50% in Huh7 cells, whereas MRP4 was also overexpressed, suggesting that pharmacokinetic interactions may not exhaustively contribute to the strong synergism between let-7c and 5-FU observed in this study, which is evidenced by the CI values as well as an immense 100-fold reduction in 5-FU EC50 values after coadministration of let-7c. Since induction of TS is another mechanism of 5-FU resistance (Longley et al., 2002), additional pharmacodynamic interactions may explain the observed synergy between 5-FU and let-7c. In this study, we demonstrated for the first time that TS expression was remarkably suppressed by let-7c. Interestingly, the transcript of TS does not contain a target site for let-7 family miRNAs (Agarwal et al., 2015), suggesting that regulation of TS by let-7 may undergo an indirect path. Indeed, we confirmed the suppression of a number of signaling factors by let-7c in Huh7 cells, including c-MYC, RAS, LIN28, and ARID3B. Among them, c-MYC was known to regulate TS (Mannava et al., 2008), whereas c-MYC expression is regulated by RAS through various mechanisms (Kerkhoff et al., 1998; Sears et al., 2000), and LIN28 regulates both RAS and c-MYC signaling (Shyh-Chang and Daley, 2013). In addition, TS is regulated by E2F gene family transcription factors (DeGregori et al., 1995; Dong et al., 2000) that can be directly targeted by let-7 (Benhamed et al., 2012; Chafin et al., 2014) or modulated by let-7–targeted elements, such as RAS (Yoon et al., 2006). Although the synergism between let-7c and 5-FU in the inhibition of HCC cell viability was revealed in both Huh7 and Hep3B cells, the present study on the underlying pharmacokinetic and pharmacodynamic mechanisms is limited to the use of Huh7 cells. More extensive studies are warranted to define whether they are common mechanisms or whether there are any variations among various HCC cell lines and patient specimens. In conclusion, our data support a strong synergism between let-7c and 5-FU in the inhibition of HCC cell viability. Furthermore, we have found that let-7c–dependent suppression of MRP5 enhances the intracellular 5-FU accumulation in HCC cells. Finally, let-7c sharply reduces TS protein expression levels, whereas 5-FU inactivates TS protein. Our results reveal the presence of both pharmacokinetic and pharmacodynamic mechanisms underlying synergistic let-7c5-FU interactions. These findings shine light on rational design and development of combination therapies for the treatment of advanced cancer diseases.
  58 in total

Review 1.  MicroRNA Pharmacoepigenetics: Posttranscriptional Regulation Mechanisms behind Variable Drug Disposition and Strategy to Develop More Effective Therapy.

Authors:  Ai-Ming Yu; Ye Tian; Mei-Juan Tu; Pui Yan Ho; Joseph L Jilek
Journal:  Drug Metab Dispos       Date:  2015-11-13       Impact factor: 3.922

2.  An overview of drug combination analysis with isobolograms.

Authors:  Ronald J Tallarida
Journal:  J Pharmacol Exp Ther       Date:  2006-05-02       Impact factor: 4.030

Review 3.  Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies.

Authors:  Ting-Chao Chou
Journal:  Pharmacol Rev       Date:  2006-09       Impact factor: 25.468

4.  Drug combination studies and their synergy quantification using the Chou-Talalay method.

Authors:  Ting-Chao Chou
Journal:  Cancer Res       Date:  2010-01-12       Impact factor: 12.701

5.  Bioengineered Noncoding RNAs Selectively Change Cellular miRNome Profiles for Cancer Therapy.

Authors:  Pui Yan Ho; Zhijian Duan; Neelu Batra; Joseph L Jilek; Mei-Juan Tu; Jing-Xin Qiu; Zihua Hu; Theodore Wun; Primo N Lara; Ralph W DeVere White; Hong-Wu Chen; Ai-Ming Yu
Journal:  J Pharmacol Exp Ther       Date:  2018-03-30       Impact factor: 4.030

6.  Cellular targets for activation by the E2F1 transcription factor include DNA synthesis- and G1/S-regulatory genes.

Authors:  J DeGregori; T Kowalik; J R Nevins
Journal:  Mol Cell Biol       Date:  1995-08       Impact factor: 4.272

7.  Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): an open-label, non-comparative, phase 1/2 dose escalation and expansion trial.

Authors:  Anthony B El-Khoueiry; Bruno Sangro; Thomas Yau; Todd S Crocenzi; Masatoshi Kudo; Chiun Hsu; Tae-You Kim; Su-Pin Choo; Jörg Trojan; Theodore H Welling; Tim Meyer; Yoon-Koo Kang; Winnie Yeo; Akhil Chopra; Jeffrey Anderson; Christine Dela Cruz; Lixin Lang; Jaclyn Neely; Hao Tang; Homa B Dastani; Ignacio Melero
Journal:  Lancet       Date:  2017-04-20       Impact factor: 79.321

8.  Role of BCRP as a biomarker for predicting resistance to 5-fluorouracil in breast cancer.

Authors:  Jianhui Yuan; Hui Lv; Bo Peng; Chengkun Wang; Yanhui Yu; Zhimin He
Journal:  Cancer Chemother Pharmacol       Date:  2008-09-27       Impact factor: 3.333

9.  DeepSynergy: predicting anti-cancer drug synergy with Deep Learning.

Authors:  Kristina Preuer; Richard P I Lewis; Sepp Hochreiter; Andreas Bender; Krishna C Bulusu; Günter Klambauer
Journal:  Bioinformatics       Date:  2018-05-01       Impact factor: 6.937

Review 10.  Lin28: primal regulator of growth and metabolism in stem cells.

Authors:  Ng Shyh-Chang; George Q Daley
Journal:  Cell Stem Cell       Date:  2013-04-04       Impact factor: 24.633

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  9 in total

1.  A Novel Integrated Pharmacokinetic-Pharmacodynamic Model to Evaluate Combination Therapy and Determine In Vivo Synergism.

Authors:  Young Hee Choi; Chao Zhang; Zhenzhen Liu; Mei-Juan Tu; Ai-Xi Yu; Ai-Ming Yu
Journal:  J Pharmacol Exp Ther       Date:  2021-03-12       Impact factor: 4.030

2.  Mechanism of acquired 5FU resistance and strategy for overcoming 5FU resistance focusing on 5FU metabolism in colon cancer cell lines.

Authors:  Tomonari Suetsugu; Ryutaro Mori; Manabu Futamura; Masahiro Fukada; Hideharu Tanaka; Itaru Yasufuku; Yuta Sato; Yoshinori Iwata; Takeharu Imai; Hisashi Imai; Yoshihiro Tanaka; Naoki Okumura; Nobuhisa Matsuhashi; Takao Takahashi; Kazuhiro Yoshida
Journal:  Oncol Rep       Date:  2021-03-02       Impact factor: 3.906

3.  Single bioengineered ncRNA molecule for dual-targeting toward the control of non-small cell lung cancer patient-derived xenograft tumor growth.

Authors:  Hannah Petrek; Pui Yan Ho; Neelu Batra; Mei-Juan Tu; Qianyu Zhang; Jing-Xin Qiu; Ai-Ming Yu
Journal:  Biochem Pharmacol       Date:  2021-01-03       Impact factor: 6.100

4.  Identification and validation of ADME genes as prognosis and therapy markers for hepatocellular carcinoma patients.

Authors:  Jukun Wang; Ke Han; Chao Zhang; Xin Chen; Yu Li; Linzhong Zhu; Tao Luo
Journal:  Biosci Rep       Date:  2021-05-28       Impact factor: 3.840

5.  Bioengineered miR-124-3p prodrug selectively alters the proteome of human carcinoma cells to control multiple cellular components and lung metastasis in vivo.

Authors:  Linglong Deng; Hannah Petrek; Mei-Juan Tu; Neelu Batra; Ai-Xi Yu; Ai-Ming Yu
Journal:  Acta Pharm Sin B       Date:  2021-08-17       Impact factor: 11.413

Review 6.  Expression of Chemoresistance-Associated ABC Proteins in Hepatobiliary, Pancreatic and Gastrointestinal Cancers.

Authors:  Jose J G Marin; Maria J Monte; Rocio I R Macias; Marta R Romero; Elisa Herraez; Maitane Asensio; Sara Ortiz-Rivero; Candela Cives-Losada; Silvia Di Giacomo; Javier Gonzalez-Gallego; Jose L Mauriz; Thomas Efferth; Oscar Briz
Journal:  Cancers (Basel)       Date:  2022-07-20       Impact factor: 6.575

7.  High expression of RRM2 mediated by non-coding RNAs correlates with poor prognosis and tumor immune infiltration of hepatocellular carcinoma.

Authors:  Guochao Mao; Lan Li; Changyou Shan; Baobao Liang; Li Ma; Shuqun Zhang
Journal:  Front Med (Lausanne)       Date:  2022-07-14

8.  BNEMDI: A Novel MicroRNA-Drug Interaction Prediction Model Based on Multi-Source Information With a Large-Scale Biological Network.

Authors:  Yong-Jian Guan; Chang-Qing Yu; Li-Ping Li; Zhu-Hong You; Zhong-Hao Ren; Jie Pan; Yue-Chao Li
Journal:  Front Genet       Date:  2022-07-15       Impact factor: 4.772

Review 9.  MiRNAs as Anti-Angiogenic Adjuvant Therapy in Cancer: Synopsis and Potential.

Authors:  Behnaz Lahooti; Sagun Poudel; Constantinos M Mikelis; George Mattheolabakis
Journal:  Front Oncol       Date:  2021-12-09       Impact factor: 6.244

  9 in total

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