Carcinogenic polycyclic aromatic hydrocarbons induce CYP1A1 in human cells via a p53-dependent mechanism

The tumour suppressor gene TP53 is mutated in more than 50 % of human tumours, making it one of the most important cancer genes. We have investigated the role of TP53 in cytochrome P450 (CYP)-mediated metabolic activation of three polycyclic aromatic hydrocarbons (PAHs) in a panel of isogenic colorectal HCT116 cells with differing TP53 status. Cells that were TP53(+/+), TP53(+/−), TP53(−/−), TP53(R248W/+) or TP53(R248W/−) were treated with benzo[a]pyrene (BaP), dibenz[a,h]anthracene and dibenzo[a,l]pyrene, and the formation of DNA adducts was measured by 32P-postlabelling analysis. Each PAH formed significantly higher DNA adduct levels in TP53(+/+) cells than in the other cell lines. There were also significantly lower levels of PAH metabolites in the culture media of these other cell lines. Bypass of the need for metabolic activation by treating cells with the corresponding reactive PAH-diol-epoxide metabolites resulted in similar adduct levels in all cell lines, which confirms that the influence of p53 is on the metabolism of the parent PAHs. Western blotting showed that CYP1A1 protein expression was induced to much greater extent in TP53(+/+) cells than in the other cell lines. CYP1A1 is inducible via the aryl hydrocarbon receptor (AHR), but we did not find that expression of AHR was dependent on p53; rather, we found that BaP-induced CYP1A1 expression was regulated through p53 binding to a p53 response element in the CYP1A1 promoter region, thereby enhancing its transcription. This study demonstrates a new pathway for CYP1A1 induction by environmental PAHs and reveals an emerging role for p53 in xenobiotic metabolism. Electronic supplementary material The online version of this article (doi:10.1007/s00204-014-1409-1) contains supplementary material, which is available to authorized users.


Introduction
The TP53 tumour suppressor gene, which encodes the protein p53, is mutated in over 50 % of human tumours and is one of the most important cancer genes (Olivier et al. 2010). p53, often described as the guardian of the genome, is involved in multiple cellular functions; amongst these is the response to cellular stress induced by various types of DNA damage, thereby delaying DNA synthesis or cell division to allow DNA repair or inducing apoptosis. In normal, unstressed cells, p53 protein expression is kept low via ubiquitin-mediated proteolysis that is regulated by the E3 ubiquitin ligase MDM2. Disruption of the normal p53 response by TP53 mutation leads to the development of tumours. Besides acquired somatic mutations in the TP53 Abstract The tumour suppressor gene TP53 is mutated in more than 50 % of human tumours, making it one of the most important cancer genes. We have investigated the role of TP53 in cytochrome P450 (CYP)-mediated metabolic activation of three polycyclic aromatic hydrocarbons (PAHs) in a panel of isogenic colorectal HCT116 cells with differing TP53 status. Cells that were TP53(+/+), TP53(+/−), TP53(−/−), TP53(R248W/+) or TP53(R248W/−) were treated with benzo[a]pyrene (BaP), dibenz [a,h]anthracene and dibenzo [a,l]pyrene, and the formation of DNA adducts was measured by 32 P-postlabelling analysis. Each PAH formed significantly higher DNA adduct levels in TP53(+/+) cells than in the other cell lines. There were also significantly lower levels of PAH metabolites in the culture media of these other cell lines.
gene being a common feature of the cancer genotype, germline mutations can cause predisposition to a wide spectrum of early onset cancers associated with the Li-Fraumeni and Li-Fraumeni-like syndromes (Olivier et al. 2010). Furthermore, some TP53 polymorphisms in coding and noncoding regions have been shown to increase cancer susceptibility and to modify cancer phenotypes in TP53 mutation carriers (Whibley et al. 2009). In addition to its role in the DNA damage response, p53 has also been found to regulate metabolic pathways such as glycolysis and oxidative phosphorylation thereby linking p53 not only to cancer, but also to other diseases such as diabetes and obesity, and to other physiological processes such as ageing (Maddocks and Vousden 2011). Thus, the repertoire of genes subject to p53 control as a master regulatory transcription factor extends across a diverse group of biological activities (Menendez et al. 2009). It has also been observed that abrogation of p53 activity by knockout or knockdown of TP53 in human cells in vitro affects carcinogen activation Simoes et al. 2008) and drug metabolism (Goldstein et al. 2013), but as yet little is known about the mechanism of this phenomenon.
Polycyclic aromatic hydrocarbons (PAHs) are formed by the incomplete combustion of organic matter IARC 2010) and are widely distributed in the environment. Several of them are highly carcinogenic, including benzo[a]pyrene (BaP), the most widely studied, as well as dibenz [a,h]anthracene (DB[a,h]A) and dibenzo [a,l] pyrene (DB[a,l]P) (Chang et al. 2013;Crowell et al. 2014;Lemieux et al. 2011;Siddens et al. 2012). PAHs require metabolic activation in order to exert their genotoxic effects Luch and Baird 2005). Metabolic activation is catalysed predominantly by cytochrome P450-dependent monooxygenases (CYPs) resulting in highly reactive diol-epoxides capable of forming covalent DNA adducts that can lead to mutations through errors in DNA replication (Phillips 2005).
In previous studies, we observed that many of the gene expression changes induced by BaP in human cells in vitro were in genes linked to pathways of p53 function (Hockley et al. 2006. Furthermore, we found that DNA adduct formation by BaP was significantly diminished in cells in which TP53 was knocked out or silenced (by siRNA inhibition) relative to cells with normal p53 function .
In order to evaluate the impact of the cellular TP53 status on the metabolic activation of a variety of different PAHs, a panel of isogenic human HCT116 cell lines that differ only with respect to their endogenous TP53 status, expressing either wild-type (WT) p53 [TP53(+/+)], heterozygous p53 [TP53(+/−)] or mutant p53 [TP53(R248W/+) or TP53(R248W/−)], or with a complete knockout of p53 [TP53(−/−)] (Sur et al. 2009) was treated with BaP, DB[a,h]A) or DB[a,l]P. PAH-DNA adduct formation was determined by 32 P-postlabelling. Expression of xenobiotic metabolising enzymes (XMEs) involved in PAH metabolism (e.g. CYP1A1) was determined by Western blotting and qRT-PCR. Cells were also treated with the reactive PAH-diol-epoxides in order to bypass the need for metabolic activation. We investigated whether p53 impacts on the regulation of XME expression such as CYP1A1 via the aryl hydrocarbon receptor (AHR) or whether the expression of XMEs such as CYP1A1 may be transcriptionally regulated by direct binding of p53 to the regulatory regions of the XME genes (Goldstein et al. 2013).
HCT116 cells were grown as adherent monolayers in complete growth medium: Dulbecco's modified Eagle's medium (#21885-025, Invitrogen) with 10 % foetal bovine serum (#10106, Invitrogen), supplemented with 100 units/ mL penicillin-streptomycin. Cells were cultured at 37 °C in 5 % CO 2 and passaged before the cells surpassed 80 % confluence. For treatment, cells were seeded at 3 × 10 4 cells/ cm 2 in flasks, grown for 48 h and subsequently treated with the test compounds or solvent dimethyl sulfoxide (DMSO) as a control for up to 48 h. The DMSO concentration was always kept at ≤0.5 % of the total culture medium volume. Based on previous experiments  In experiments using nutlin-3a (Cayman Chemicals; 18585), cells were pretreated with 5 µM nutlin-3a for 6 h prior to exposure to BaP for 24 h. Nutlin-3a remained for the whole incubation period.

Cell viability and DNA adduct analysis
Cell viability (% control) was measured using the CASY Model TT Electronic Cell Analyser (Innovatis AG, Germany). DNA was isolated from PAH-treated cells using a standard phenol/chloroform extraction method. The nuclease P1 digestion enrichment version of the thin-layer chromatography (TLC) 32 P-postlabelling assay was used to measure DNA adduct formation. The procedure was essentially carried out as described previously Malik et al. 2013;Phillips and Arlt 2007;Siddens et al. 2012). After chromatography, TLC sheets were scanned using a Packard Instant Imager (Dowers Grove, IL, USA) and DNA adduct levels (RAL, relative adduct labelling) were calculated from the adduct cpm, the specific activity of [γ-32 P]ATP and the amount of DNA (pmol of DNA-P) used.

Measurement of nucleotide excision repair (NER) capacity
To assess NER capacity in HCT116 cells, a modified comet assay was applied (Langie et al. 2006). This assay measures the ability of NER-related enzymes that are present in the cell extract to incise substrate DNA containing BPDE-DNA adducts. The substrate nucleoids were prepared from untreated HCT116 TP53(+/+) cells as reported (Langie et al. 2006). They were then exposed to BPDE (1 µM) or vehicle control (DMSO, 0.5 % in PBS) for 30 min. Preparation of the protein extracts of the HCT116 TP53(+/+), TP53(+/−), TP53(−/−), TP53(R248W/+) and TP53(R248W/−) cells, ex vivo repair incubation and electrophoresis were performed according to the published protocol (Langie et al. 2006). Dried slides were stained with ethidium bromide (10 µg/mL), and comets were analysed using a Leica fluorescence microscope (Leica DMLB 020-519-010 LB30T). DNA damage was scored using the Comet IV capture system (version 4.11; Perceptive Instruments, UK). Fifty nucleoids were assessed per slide and each sample was analysed in duplicate. All samples were measured blindly. The results from both replicates were combined for further analysis. The tail intensity (% tail DNA), defined as the percentage of DNA migrated from the head of the comet into the tail, was used as an indicative measure of the repair capacity of the cell extracts. After subtracting background levels from all data, the final DNA repair capacity was calculated as previously reported (Langie et al. 2006).

High-performance liquid chromatography (HPLC) analysis of BaP metabolites
For the analysis of BaP metabolites, culture medium (2 mL) from exposed cells was collected and stored at −20 °C until further processing. These samples were analysed at the National Institute of Occupational Health, Norway, as described (Dendele et al. 2014). Briefly, the medium was diluted to 10 mL with water, applied to a preconditioned (5 mL methanol and 10 mL water) Sep-Pak C18 cartridge (Millipore Corporation, Milford, MA, USA), followed by a wash with water (10 mL), and eluted with 100 % methanol (5 mL). The methanol eluate was evaporated to dryness at 45 °C under a nitrogen stream and suspended in 100 μL of 100 % methanol. HPLC separation of BaP metabolites was performed on a Nova-Pak C18 3.9 × 150 mm 2 column (Waters, Milford, MA, USA) with a Waters 625 LC System, equipped with a LC 240 fluorescence detector (Perkin-Elmer, Beaconsfield, UK) (Dendele et al. 2014). The BaP metabolites were separated with a linear gradient of 30-100 % methanol in water for 40 min. For the quantitative determination of BaP metabolites, the following fluorescence conditions were used: 0 min, excitation 380 nm, emission 431 nm; 0.5 min, excitation 341 nm, emission 381 nm; 20 min, excitation 253 nm, emission 410 nm; and 27 min, excitation 380 nm, emission 431 nm. The concentrations of BaP metabolite standards dissolved in ethanol were determined by UV absorbance using extinction coefficients supplied by the NIH Chemical Carcinogen Repository (Midwest Research Institute, Kansas City, MO, USA).
In experiments using nutlin-3a, selected BaP metabolites were analysed at King's College London. Briefly, 5 mL media was removed and extracted twice with 1 mL of ethyl acetate. Extracts were evaporated and taken up in 200 µL methanol, of which 20-µL aliquots were injected. HPLC analysis was performed using a HPLC Agilent 1100 System (Agilent Technologies) with a SunFireTM C18 reverse phase column (250 × 4.6 mm, 5 µm; Waters) using a methanol/water gradient at a flow rate of 0.2 mL/min. A linear gradient of 20-100 % methanol over 10 min was followed by isocratic elution for 20 min. This was succeeded by a linear gradient of 100-20 % methanol for 10 min, and then isocratic elution of 20 % methanol for 5 min. Total run time was 60 min. The metabolites were analysed by fluorescence detection (excitation wavelength 375 nm, emission wavelength 450 nm). The two BaP metabolites analysed, BaP-t-7,8-dihydrodiol and BaP-tetrol-I-1, were identified using authentic standards.

Cell cycle
After treatment with 2.5 μM BaP for 24 and 48 h, HCT116 cells were harvested and fixed in ice cold 70 % ethanol.
For staining with propidium iodide (Invitrogen, UK), cells were pelleted, washed with PBS and resuspended in staining buffer containing 40 μg/mL propidium iodide, 100 μg/ mL RNase (Qiagen, UK) in PBS. Samples were incubated at 37 °C for 1 h in the dark and subsequently stored at 4 °C overnight before analysis. The DNA content of 10,000 cells per sample was analysed using a BD FACSCanto II (BD Biosciences, UK) at 488 nm.
Gene expression analysis HCT116 cells were treated with 2.5 μM BaP for 24 h. RNA was isolated using RNeasy Mini kit (Qiagen, UK) and reverse-transcribed into cDNA using the SuperScript III reverse transcriptase kit (Invitrogen, UK). Relative quantitation of CYP1A1 and CYP1B1 mRNA expression was performed using fluorescent qRT-PCR with the ABI PRISM 7500HT Fast Sequence Detection System (Applied Biosystems, UK) as described previously (Hockley et al. 2006. CYP1A1 and CYP1B1 expression was detected using TaqMan ® gene expression primers and probes (CYP1A1-Hs00153120_m1 and CYP1B1-Hs00164383_m1). Relative gene expression was calculated using the comparative threshold cycle (C T ) method.

Cell viability after PAH exposure
In the previous work, treatment with 2.5 μM BaP and 0.5 μM BPDE was found to induce DNA adduct formation in HCT116 TP53(+/+) cells within a linear dose-response range   Figure 2), which was in line with previous findings ).
As shown in Supporting Figure 3A, cell cycle parameters as measured by flow cytometry were modestly altered after 24 h in TP53(R248W/+) and TP53(R248W/−) relative to TP53(+/+) cells. After 48 h, BaP treatment had a marginal effect on cell cycle in TP53(+/+) cells relative to controls (Supporting Figure 3B), consistent with previous results ).
Formation of PAH-DNA adducts PAH-DNA adduct formation after 24 and 48 h was determined by the 32 P-postlabelling method (Fig. 2). After BaP and BPDE treatment (Fig. 2a, b), the DNA adduct pattern on TLC was qualitatively similar in all isogenic HCT116 cells, consisting of one single adduct spot, previously identified as 10-(deoxyguanosin-N 2 -yl)-7,8,9-trihydroxy-7,8,9,10tetrahydrobenzo[a]pyrene (dG-N 2 -BPDE) . DB[a,h]A treatment also resulted in the formation of one major adduct spot which corresponded to the adduct spot obtained after treatment with DB[a,h]ADE (Fig. 2c, d). Exposure to DB[a,l]P induced a pattern consisting of four major adduct spots (Fig. 2e), of which three were found after treatment with DB[a,l]PDE (i.e. spots 1-3; Fig. 2f). No DNA adducts were detected in controls (data not shown).
Quantitative analysis obtained by 32 P-postlabelling revealed a time-dependent increase in DNA adduct formation from 24 to 48 h after treatment with the parent PAH (Fig. 2a, c, e). In TP53(+/+) cells, adduct levels were ~twofold higher and up to 1.5-fold higher for the other cell lines at 48 h than at 24 h. Amongst the PAHs, the genotoxic potencies increased in the order DB[a,h] A ≪ BaP < DB[a,l]P. Strikingly, PAH-induced DNA adduct levels were up to eightfold lower in TP53(−/−) than in TP53(+/+) cells; the difference was ~eightfold for BaP, ~sixfold for DB[a,h]A and ~fourfold for DB[a,l]P. Interestingly, adduct levels in TP53(+/−) cells were almost the same as those found in TP53(−/−) cells. It is also noteworthy that adduct levels in both mutant TP53 cell lines, TP53(R248W/+) and TP53(R248W/−), were manifoldly lower compared with TP53(+/+) cells, but generally ~1.5 times higher than in TP53(−/−) cells.
In contrast, similar adduct levels in TP53(+/+) cells relative to all other cell lines were observed after treatment with BPDE (Fig. 2b). In line with this observation, adduct levels were also similar after DB[a,h]ADE or DB[a,l]PDE exposure in all cell lines (Fig. 2d, f). For all three PAH-diolepoxides, DNA adduct formation was lower after 48 h relative to 24-h treatment. It is also noteworthy that adduct levels after shorter diol-epoxide exposure, namely 2 h, were similar in all cell lines (data not shown). More importantly, as PAH-diol-epoxides do not require metabolic activation to bind to DNA, these findings suggest that the differences in DNA adduct formation observed with the parent PAHs are the consequence of the different capacities of the cells to metabolically activate the PAHs. In other words, these results suggest that the cellular TP53 status impacts on the metabolic bioactivation of the parent PAHs.

CYP1A1 protein expression after PAH exposure
Bioactivation of many PAHs including BaP, DB[a,h]A and DB[a,l]P is catalysed by CYP1A1 Luch and Baird 2005). To determine the impact of the cellular TP53 status in HCT116 cells on the CYP1A1-mediated metabolic activation of the PAHs tested, CYP1A1 protein levels were determined by Western blotting after 24 and 48 h. As shown in Fig. 1, basal levels of CYP1A1 were low in all cell lines, but CYP1A1 was induced after PAH exposure. A striking finding was that CYP1A1 induction correlated with the PAH-induced DNA adduct levels in each cell line (compare Fig. 2). In contrast, after BPDE exposure, for example, no CYP1A1 induction was observed (Fig. 1). The lack of CYP1A1 induction after BPDE correlated with the finding that BPDE exposure of the cells resulted in similar DNA adduct levels regardless of the TP53 status (compare Fig. 2b).
PAHs such as BaP, DB[a,h]A and DB[a,l]P can bind to and activate AHR (Hockley et al. 2007 activated receptor is capable of modulating the expression of its target genes such as CYP1A1 (Hockley et al. 2007). As shown in Fig. 1, AHR expression in whole cell lysates decreased in all cell lines to the same extent after PAH exposure.

CYP1A1 and CYP1B1 mRNA expression after BaP treatment
RT-PCR is a sensitive and specific measure of gene expression (Hamouchene et al. 2011;Hockley et al. 2006) and was used to evaluate CYP1A1 and CYP1B1 expression changes in HCT116 cells treated with BaP for 24 h. Similar to the results obtained by Western blotting, CYP1A1 mRNA induction after BaP treatment was lower in all cells relative to TP53(+/+) cells (Fig. 3a) and correlated with BaP-DNA adduct formation in each cell line (compare Fig. 1a). Small alterations in CYP1B1 mRNA induction were found in some cell lines (Fig. 3b); again CYP1B1 expression was lower relative to TP53(+/+) cells in all other cell lines. However, the fold differences appeared to be subtle, suggesting that any change in CYP1B1 expression may not significantly influence the differences in BaP-DNA adduct levels observed in these cell lines.  As BaP-derivatives can also be metabolised by NAD(P) H:quinone oxidoreductase (NQO1) (Luch and Baird 2005), we also determined NQO1 protein expression in HCT116 cells after BaP exposure. It appears that a marginal induction of NQO1 protein levels was observed upon BaP treatment after 48 h (Fig. 1). However, this induction was very small and independent of the cellular TP53 status.

Impact of cellular TP53 status on BaP metabolism
In order to obtain further insights into the effects of TP53 status on BaP metabolism, BaP metabolites were analysed in the cell culture medium by HPLC analysis. A scheme showing the structures of BaP metabolites analysed is given in Supplementary Figure 4. As shown in Table 1, the levels of all BaP metabolites analysed in the TP53(+/+) cells were significantly higher than in all other cultures. For example, the level of BaP-t-7,8-dihydrodiol, a precursor of BPDE, was ~fivefold higher in TP53(+/+) than in TP53(−/−) cell cultures. Overall, the levels of BaP metabolites formed by each cell line corresponded to the BaP-DNA adduct levels observed in these cells.

Impact of p53 induction on BaP metabolism and CYP1A1 expression
Nutlin-3a, an inhibitor of MDM2, was used to induce p53 in TP53(+/+) cells. Using Western blot analysis, it was found that p53 was induced upon nutlin-3a pre-treatment which subsequently led to an increase in CYP1A1 levels in cells co-exposed to BaP for 24 h (Fig. 4a). CYP1A1 protein levels were slightly induced in cells treated solely with nutlin-3a for up to 30 h. Similar experiments carried out in TP53(−/−) cells showed a marginal induction of CYP1A1 levels after treatment with BaP alone, but pre-treatment with nutlin-3a had no effect on CYP1A1 expression levels (Fig. 4a). The p53/nutlin-3a-mediated induction of CYP1A1 in TP53(+/+) cells after BaP exposure also altered the formation of BaP metabolites. For these experiments, the formation of BaP-t-7,8-dihydrodiol and BaP-tetrol-II-1 was determined in the cell culture medium using HPLC analysis. These metabolites were chosen as they are, in the first case, precursors of BPDE and, in the second case, one of the hydrolysis products of BPDE. As shown in Fig. 4b, c, the levels of both BaP metabolites increased in TP53(+/+) cells and coexposed to nutlin-3a and BaP relative to cells treated with BaP alone, indicating that p53 induction by nutlin-3a increases CYP1A1-mediated BaP metabolism. As seen before, the levels of both BaP metabolites were lower in TP53(−/−) compared with TP53(+/+) cells (Fig. 4b, c; compare Table 1). In TP53(−/−) cells, no change was observed for BaP-t-7,8dihydrodiol, whereas BaP-tetrol-I-1 was significantly higher in TP53(−/−) cells treated with nutlin-3a and BaP relative to cells treated with BaP alone, but the change was small.
Binding of p53 to the DNA-regulatory elements of p53 (p53REs) in the promoter region of CYP1A1 after BaP exposure After demonstrating that alterations in the cellular p53 levels can impact on the CYP1A1-mediated metabolism of BaP and subsequent formation of BaP-DNA adducts, we wanted to explore the potential mechanism behind this phenomenon. It is well known that p53 induces gene expression of its target genes by binding to p53REs and thereby inducing their transcription (Menendez et al. 2009). Recent studies have indicated that p53 can induce gene expression of CYP3A4 by binding to p53REs (Goldstein et al. 2013). Therefore, we hypothesised that CYP1A1 expression may also be regulated by p53. After in silico analysis of the regulatory region upstream of the CYP1A1 gene, a putative p53RE was identified. We used ChIP to investigate whether p53 can bind to the p53RE identified in the regulatory region of CYP1A1. In order to validate the efficiency of the ChIP assay, we confirmed that p53 binds to a known p53RE of CDKN1A (p21) (Kaeser and Iggo 2002;Laptenko et al. 2011), a downstream target of p53, in TP53(+/+) cells after treatment with nutlin-3a (Fig. 5a). No increase in binding was observed in the BaP treated compared to the negative (mock) control or untreated TP53(+/+) cells. The lack of p53 binding to the p53RE of CDKN1A (p21) is in line with the Western blot analysis where no p21 induction was observed after BaP treatment in TP53(+/+) cells under the experimental conditions used (see Fig. 1).
Most importantly, as shown in Fig. 5b, p53 was able to bind to the p53RE of CYP1A1 as indicated by the enrichment of this DNA segment in the p53-precipitated DNA, after both nutlin-3a and BaP treatments. Again, no increase in binding was observed in the negative (mock) control or in untreated TP53(+/+) cells. These results support a p53-dependent induction mechanism of CYP1A1, thereby promoting CYP1A1-mediated BaP metabolism and subsequent BaP-induced DNA adduct formation.

DNA repair capacity
Nucleotide excision repair (NER) is the main DNA repair pathway for the studied PAHs, and p53-dependent pathways affecting global NER have been identified (Ford 2005;Sengupta and Harris 2005). In order to determine whether the cellular TP53 status impacted on NER in HCT116 cells, we phenotypically assessed NER capacity. Cell extracts from HCT116 cells were examined for their ability to repair BPDE-induced DNA adducts using a modified comet assay (Langie et al. 2006). Utilising this assay, we found that all HCT116 cell lines used in the present study had the same NER capacity (Supporting Figure 5).

Discussion
The repertoire of genes subject to p53 control extends across a diverse group of biological activities that include apoptosis, cell cycle regulation, senescence, energy metabolism, angiogenesis, cell differentiation and immune response. In this study, we show that carcinogenic PAHs can induce CYP1A1 in human cells via a p53-dependent mechanism, indicating a novel role for p53 in CYP1A1mediated carcinogen metabolism. CYP1A1 is one of the key enzymes involved in PAH metabolism, and we found that alterations of the cellular TP53 status as well as nutlin-3a-induced p53 activation had dramatic effects on the metabolism of a variety of PAHs, namely BaP, DB[a,h]A and DB[a,l]P.
Many studies have demonstrated the induction of p53 in response to PAH exposure and this can be of significance for the molecular phenomenon (i.e. impact of TP53 status on PAH-induced DNA adduct formation) described above. We and others previously identified p53 as an important component of PAH-induced transcriptional responses in human cell lines and in vivo (Hamouchene et al. 2011;Hockley et al. 2006Hockley et al. , 2008Labib et al. 2012;Malik et al. 2012Malik et al. , 2013. Thus, these gene-environment interactions need to be taken into account with regards to PAH metabolism. Furthermore, as many anti-cancer treatment regimens are composed of several drugs of which at least one is a p53 activating drug, our molecular observation may also be of clinical importance (Goldstein et al. 2013). Therefore, these potential drug-environmental interactions may also be carefully considered for human risk assessment.
A well-established molecular mechanism for the induction of CYP1A1 is via AHR with 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) being one of the best characterised ligands for this orphan nuclear receptor. (Wang et al. 2011) PAHs such as BaP can also bind to and activate AHR thereby enhancing their own metabolic activation (Hockley et al. 2007). However, a recent study has indicated that p53 can induce gene expression of certain CYPs by binding to p53REs in the promoter region of these CYPs. It was shown that p53 induces the activity of CYP3A4, one of the major drug-metabolising enzymes in the liver, via its binding to p53REs and the subsequent transcriptional enhancement of CYP3A4 (Goldstein et al. 2013). In the present study, we propose a new mechanism by which CYP1A1 is induced by p53. Using ChIP analysis, we showed that p53 can bind to a p53RE in the regulatory region upstream of the CYP1A1 gene in HCT116 TP53(+/+) cells after BaP exposure (Fig. 5). Consequently, these results indicate that BaP is able to induce CYP1A1 not only by binding as a ligand to AHR promoting CYP1A1 transcriptional activation, but also by induction of p53 which can subsequently trigger CYP1A1 transcription via its binding to p53REs.
Both complete and partial inactivation of tumour suppressors such as TP53 can play a critical role in the pathogenesis of cancer . It has been shown that reductions in p53 dosage and function can impact on a cell's ability to respond to DNA damage Bunz et al. 1999). Deletions of the TP53 locus are frequently found in human cancer, and loss of heterozygosity (LOH) has been shown to occur in a fraction of tumours harbouring a TP53 mutation . TP53 is a powerful example of how haploinsufficiency promotes tumourigenesis, whereby loss of one copy of TP53 gives rise to a phenotype intermediate to that occurring after complete loss of the gene . As such, survival of Trp53(+/−) mice show an intermediate survival to that Trp53(−/−) and Trp53(+/+) mice, and tumours that develop in Trp53(+/−) mice do not always display loss of the remaining WT allele Venkatachalam et al. 1998). Therefore, it was expected that HCT116 TP53(+/−) cells generate an intermediate response to those observed in TP53(−/−) and TP53(+/+) cells. Interestingly, HCT116 TP53(+/−) cells behaved more similar to TP53(−/−) cells than TP53(+/+) cells with regards to PAH-DNA adduct formation, while adduct formation induced by the corresponding PAH-diolepoxides again did not differ (Fig. 2). This observation was in accordance with the fact that HCT116 TP53(+/−) and TP53(−/−) cells formed similar amounts of BaP metabolites (Table 1). Expression of CYP1A1, at both the gene and protein level (Figs. 1, 3), was also similar in both cell lines. These results suggest that in HCT116 TP53(+/−) cells, the remaining WT allele is not sufficient for normal cellular function. This possibility has been indicated in another study using these cells where loss of one WT allele resulted in a ~fourfold reduction in TP53 mRNA and protein levels compared with TP53(+/+) cells before and after p53 stabilization resulting from UV radiation (Lynch and Milner 2006). One reason for this phenomenon could be that p53 function is dependent on its tetrameric structure and reduction in dosage of the WT protein by 50 % may result in disproportionate reduction in active tetramer concentrations (Santarosa and Ashworth 2004).
The importance of p53 is also highlighted by the fact that it is mutated in over 50 % of human cancers (Olivier et al. 2010). Mutation patterns and spectra in TP53 have been linked to environmental exposures including PAHs Kucab et al. 2010). For example, lung tumours of tobacco smokers (but not of nonsmokers) contain a high percentage of G to T transversions in TP53 at several hotspot locations (in particular, at codons 157, 1 3 158, 175, 245, 248 and 273) characteristic of PAHs present in tobacco smoke. (Denissenko et al. 1996) Of note, hotspot mutations found at codons 175, 248, 249 and 273 together account for over 25 % of all missense mutations identified in human cancers (Olivier et al. 2010). Mutant p53 expressed in preneoplastic and/or neoplastic cells can severely limit or abolish the capacity of p53 to regulate its target genes (Freed-Pastor and Prives 2012). One TP53 hotspot mutation found in human tumours, R248 W, has been identified as a contact mutation that induces conformational changes and abolishes the tumour suppressive activity of p53 (Song et al. 2007). Both in HCT116 cells where one WT allele was replaced with mutant (R248 W) allele, and in cells where one WT allele was inactivated by homologous recombination and the other was replaced with a mutant (R248 W) allele, PAH metabolism and PAH-DNA adduct formation was altered relative to TP53(+/+) cells (Table 1; Figs. 1, 2, 3). The response in HCT116 cells with mutant p53 was similar to that in cells having a complete knockout of p53. However, it is possible that cells carrying a different TP53 mutation may respond differently. A more comprehensive approach to studying the impact of distinct TP53 mutations in cells with a closely matched genetic background for comparative functional analysis of p53 and carcinogen metabolism in the future has been published recently (Odell et al. 2013;Wei et al. 2011).
The responses seen after PAH exposure in HCT116 cells with altered p53 expression have been similar for different compounds in this study, but the response to other environmental carcinogens could be different. Another environmental carcinogen which has been tested in HCT116 TP53(+/+) and TP53(−/−) cells is aristolochic acid I (AAI), a herbal drug derived from the Aristolochia species which is a potent human carcinogen involved in the development of aristolochic acid nephropathy and linked to urothelial cancer (Gokmen et al. 2013;Schmeiser et al. 2014). The major activation pathway for AAI is nitroreduction, NQO1 being the most efficient activating enzyme, while CYP1A-mediated demethylation contributes to AAI detoxification . AAI-DNA adduct formation was significantly lower in TP53(−/−) relative to TP53(+/+) cells (Simoes et al. 2008). Interestingly, CYP1A1 gene expression measured by qRT-PCR analysis was higher in TP53(−/−) compared with TP53(+/+) cells after AAI exposure (Simoes et al. 2008), suggesting that cellular TP53 status may impact on CYP1A1-mediated AAI detoxification. However, the mechanism by which TP53 status influences AAI metabolism and AAI-DNA adduct formation in human cells remains to be investigated further.
In contrast, DNA adduct formation by a nitroarene, 3-nitrobenzanthrone (3-NBA), was similar in HCT116 TP53(+/+) and TP53(−/−) cell lines Simoes et al. 2008). This observation indicates that the cellular impact of p53 on carcinogen metabolism depends on the agent studied and/or that only certain XMEs depend on p53 function. The most efficient enzyme to activate 3-NBA to DNA adducts is NQO1 (Arlt et al. 2005Stiborova et al. 2010). Thus, NQO1 seems to be an enzyme not influenced by p53, which is in line with the fact that NQO1 protein expression was not altered in the HCT116 cell lines after BaP exposure (Fig. 2). Another recent study showed that induction of CYP2E1 gene expression is under the transcriptional control of p53 (Leung et al. 2013). As CYP2E1 overexpression inhibited migration of highly invasive MDA-MB-231 breast cancer cells expressing mutant p53, the authors concluded that manipulation of CYP2E1 protein expression could be potentially exploited in breast cancer therapy (Leung et al. 2013). However, in the context of our investigations, this study indicates that CYP2E1-mediated carcinogen metabolism may be altered by p53 expression and seems to be a promising target for future investigations. One typical substrate of CYP2E1 is ethanol which is the main cause of various liver diseases (Beier and McClain 2010). Another recent study demonstrated that UDP-glucuronosyltransferase 2B7 (UGT2B7) expression is regulated via the p53 pathway (Hu et al. 2014). Epirubicin, an anticancer drug, stimulated UGT2B7 promoter activity via p53RE in human hepatocarcinoma HepG2 cells and similarly nutlin-3a enhanced UGT2B7 expression and recruited p53 protein to the UGT2B7 p53RE in these cells (Hu et al. 2014). Collectively, these findings suggest a novel role for p53 in the regulation of both phase I and phase II XMEs.
In summary, we found that carcinogenic PAHs induce CYP1A1 expression in human cells via a p53-dependent mechanism. Thus, our identification of CYP1A1 as novel p53 target gene provides new insights into the mechanism controlling CYP1A1 expression. These results also provide new fundamental insights into the mechanism(s) of p53 in PAH-induced carcinogenesis. These results indicate that p53 may impact on the efficacy of chemotherapeutic drugs. However, they also indicate that gene-environment interactions need to be taken into account with regards to carcinogen metabolism. Future investigations will need to clarify which other XMEs depend on p53 function and which other environmental carcinogens depend on p53 for their metabolic activation.
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