Yuko Ito1,2, Kota Nakajima1,2, Yasunori Masubuchi1,2, Satomi Kikuchi1,3, Fumiyo Saito4, Yumi Akahori4, Meilan Jin5, Toshinori Yoshida1,3, Makoto Shibutani1,3,6. 1. Laboratory of Veterinary Pathology, Division of Animal Life Science, Institute of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu-shi, Tokyo 183-8509, Japan. 2. Pathogenetic Veterinary Science, United Graduate School of Veterinary Sciences, Gifu University, 1-1 Yanagido, Gifu-shi, Gifu 501-1193, Japan. 3. Cooperative Division of Veterinary Sciences, Graduate School of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu-shi, Tokyo 183-8509, Japan. 4. Chemicals Evaluation and Research Institute, Japan, 1-4-25 Kouraku, Bunkyo-ku, Tokyo 112-0004, Japan. 5. Laboratory of Veterinary Pathology, College of Animal Science and Technology Veterinary Medicine, Southwest University, No.2 Tiansheng Road, BeiBei District, Chongqing 400715, P.R. China. 6. Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu-shi, Tokyo 183-8509, Japan.
Evaluation of chemical carcinogenicity is crucial for the assessment of chemical safety.
However, administering test compounds to hundreds of rodents over a prolonged period in
standard carcinogenicity bioassays is time-consuming and costly. In previous studies to
identify early prediction marker molecules of hepatocarcinogenesis in rats, we reported that
administration of carcinogens for 28 days induces expression changes in cell cycle-related
molecules resulting in cell cycle arrest in many target organs[1], [2], [3].
Considering that cell cycle arrest is a typical feature of cellular senescence[4], our previous study results suggest an increased
number of liver cells undergoing cellular senescence after repeated carcinogenic
stimuli.Carcinogens are currently categorized into two classes, genotoxic and non-genotoxic
carcinogens, which are subject to different regulatory policies[5]. Genotoxic carcinogens exert carcinogenicity through induction
of mutations[6], and there is thought to be
no safe exposure threshold or dose because of their DNA interaction properties. Genotoxic
carcinogens are regulated under the assumption that they pose a cancer risk for humans, even
at very low doses[7]. In contrast,
non-genotoxic carcinogens, which induce cancer through mechanisms other than mutations, such
as cytotoxicity, cell proliferation, hormonal influence, or epigenetic alterations, are
thought to have a safe exposure threshold or dose. Thus, use of non-genotoxic carcinogens is
permitted unless the exposure or intake level exceeds the threshold[7]. Therefore, understanding the mode of action of
carcinogens in relation to carcinogenic potential, whether through a genotoxic or
non-genotoxic mechanism, is important for risk assessment of chemical carcinogens.We have previously reported that thioacetamide (TAA) and methapyrilene hydrochloride (MP),
non-genotoxic hepatocarcinogens that facilitate target cellular proliferation with repeated
administration in rats for up to 90 days, clearly facilitate cell cycle arrest during both
the G1/S and G2/M phases through the mechanism involving upregulation
of Tp53 and p21WAF1/CIP1 activation in liver cells[8]. In contrast, carbadox (CRB), a genotoxic
hepatocarcinogen, slightly induces p21WAF1/CIP1 activation alone even after
administration for up to 90 days[8]. These
results indicate that the responses of cellular senescence-related molecules may differ
between genotoxic and non-genotoxic hepatocarcinogens.Normal mammalian cells generate adenosine triphosphate (ATP) by mitochondrial oxidative
phosphorylation (OXPHOS) through the tricarboxylic acid (TCA) cycle, which utilizes oxygen.
On the other hand, cancer cells alter their metabolism in order to support the increased
energy requirement due to continuous growth, rapid proliferation, and other characteristics
typical of neoplastic cells[9]. This
phenomenon of changes of tumor cellular bioenergetics, called “metabolic reprogramming”, has
been recognized as one of the hallmarks of cancer[10]. The “Warburg effect”, which refers to active utilization of a
glycolytic system with low efficiency of ATP production, represents one of the metabolic
reprogrammings found in cancer cells[11]. In
fact, the enhanced tumor uptake of 2-deoxy-2(18F)-fluoro-D-glucose in positron
emission tomography scans is now exploited in clinics for diagnostic purposes[12]. In addition to glycolysis, it has been
reported that cancer cells also utilize glutaminolysis to increase ATP production[13]. On the other hand, ATP synthase of OXPHOS is
downregulated in many types of carcinoma[14]. Furthermore, mitochondrial dysfunction promotes secondary glycolysis in
RasV12-transformed cells surrounded by normal cells[15], suggesting that suppression of OXPHOS induces activation of the other
energy metabolic pathways. We have previously found downregulation of a mitochondrial
OXPHOS-related protein, transmembrane protein 70 (TMEM70), which is suggestive of disrupted
cellular senescence, in glutathione S-transferase placental form
(GST-P)-expressing (+) proliferative lesions in rathepatocarcinogenesis using an
initiation promotion model and non-genotoxic hepatocarcinogens as tumor promoters[16]. In that study, GST-P+
preneoplastic lesions showing TMEM70 downregulation also downregulated the ATP synthase
subunit beta, mitochondrial precursor (ATPB), but upregulated solute carrier family 2,
facilitated glucose transporter member 1 (GLUT1) and glucose-6-phosphate 1-dehydrogenase
(G6PD), suggesting a metabolic shift via the Warburg effect.We hypothesize that the responses on reprogramming of energy metabolic pathways toward
carcinogenesis may differ between genotoxic and non-genotoxic hepatocarcinogens from the
early stage of hepatocarcinogen treatment. It is important to elucidate the carcinogenic
pathways of cellular metabolism that can distinguish the respective types of
hepatocarcinogens. To identify the difference in pattern of cellular metabolism between
genotoxic and non-genotoxic hepatocarcinogens, the present study examined the transcript
levels of cellular metabolism-related genes in the liver of rats treated with genotoxic or
non-genotoxic hepatocarcinogens for 28 and 84 or 90 days, as well as the immunohistochemical
cellular distribution of the cellular metabolism-related molecules in the liver of rats
treated with these hepatocarcinogens for up to 90 days.
Materials and Methods
Chemicals
Carbon tetrachloride (CCl4; CAS No. 56-23-5, purity ≥ 99.5%), thioacetamide
(TAA; CAS No. 62-55-5, purity ≥ 98%), carbadox (CRB; CAS No. 6804-07-5, purity ≥99%),
dimethyl sulfoxide (DMSO; purity ≥99.5%), and corn oil were obtained from Fujifilm Wako
Pure Chemical Corporation (Osaka, Japan). Aflatoxin B1 (AFB1; CAS
No. 1162-65-8) was extracted from medial and mycelial fractions of cultivated A.
flavus in M1 medium and purified by high-performance liquid
chromatography as previously described[17]. According to AOAC official method 970.44, the purity of aflatoxin
B1 was calculated to be approximately 90% based on the absorption peak ratios
of ultraviolet measurements on methanol[18]. N-nitrosodiethylamine (DEN; CAS No. 55-18-5, purity
≥99%) was purchased from Tokyo Chemical Industry Co. Ltd. (Tokyo, Japan), and
N-nitrosopyrrolidine (NPYR; CAS No. 930-55-2, purity ≥99%) and
methapyrilene hydrochloride (MP; CAS No. 135-23-9, purity ≥98%) were purchased from
MilliporeSigma (St. Louis, MO, USA).
Animal experiments
Five-week-old male F344/NSlc rats were purchased from Japan SLC, Inc. (Hamamatsu, Japan)
and acclimatized to a basal diet (CRF-1; Oriental Yeast Co., Ltd., Tokyo, Japan) and tap
water ad libitum. They were housed in plastic cages with paper chip
bedding in a barrier-maintained animal room under standard conditions (room temperature,
23 ± 2°C; relative humidity, 55 ± 15%; 12-h light-dark cycle). After a one-week
acclimatization period, animals were randomized into three groups (Experiment 1) or six
groups (Experiment 2) of 10 animals per group. In Experiment 1, animals were provided a
basal diet (untreated controls) or treated with DEN (4 mg/5 mL/kg body weight, dissolved
in saline) or CCl4 (100 mg/5 mL/kg body weight, dissolved in corn oil) daily by
gavage for 28 days or 90 days. In Experiment 2, animals were provided a basal diet
(untreated controls) or treated with AFB1 (15 µg/0.5 mL/kg body weight,
dissolved in DMSO) daily by gavage, NPYR (13 mg/5 mL/kg body weight, dissolved in saline)
daily by gavage, CRB (300 ppm) in diet, TAA (400 ppm) in diet, or MP (1,000 ppm) in diet
for 28 or 90 days. In the CCl4 group in Experiment 1, the initial dose was set
at 100 mg/kg body weight daily by gavage. However, as two animals died and the general
conditions of the remaining animals worsened at day 80, the dose was reduced to 50 mg/kg
body weight after 80 days from the start of administration of CCl4. At day 84,
another animal died, and the general conditions of the other animals worsened in
CCl4 group; therefore, it was decided to terminate Experiment 1 at this time
point. DEN, AFB1, NPYR, and CRB were selected as genotoxic hepatocarcinogens in
rats; the dose level used for each of these compounds has been shown to induce liver
tumors or preneoplastic liver lesions after 5 or 13 weeks of treatment or neoplastic
lesions after 10 months of treatment, respectively[19], [20], [21],
[22], [23]. CCl4, TAA, and MP were selected
as non-genotoxic hepatocarcinogens; the dose level of each of these compounds, even after
the dose change of CCl4, has been shown to induce neoplastic liver lesions in
carcinogenicity bioassays[24],
[25], [26], [27]. The animals of all groups were euthanized by exsanguination
from the posterior vena cava and abdominal aorta under CO2/O2
anesthesia at the next day of the 28 days (Experiments 1 and 2), or 84 days (Experiment
1), or 90 days (Experiment 2) of treatment. At necropsy, livers were removed, weighed, and
then cut into small pieces (approximately 30 mg/sample). All samples were immediately
frozen in liquid nitrogen and stored at −80°C until total RNA extraction. In addition,
liver slices (2 slices per animal, one from the median lobe and another from the left
lateral lobe) were fixed in 4% (w/v) paraformaldehyde in 0.1 M phosphate buffer (pH 7.4)
overnight and processed for histopathological examinations. Animal samples were identical
to those previously reported[28].All animal experiments of this study were conducted in compliance with the Guidelines for
Proper Conduct of Animal Experiments (Science Council of Japan, 1 June 2006), and the
protocols were approved by the Animal Care and Use Committee of Tokyo University of
Agriculture and Technology. All efforts were made to minimize animal suffering.
Transcript expression analysis
Real-time reverse transcription-polymerase chain reaction (RT-PCR) quantification of mRNA
was performed for cellular metabolism-related genes and transcription factor genes on RNA
samples (n=6/group) isolated from the untreated controls and each treatment groups in
Experiments 1 and 2. Total RNA was extracted with an RNeasy Mini Kit (Qiagen, Hilden,
Germany), and first-strand complementary DNA was synthesized from 2 µg of total RNA using
SuperScript® III Reverse Transcriptase (Thermo Fisher Scientific, Waltham,
MA, USA). Real-time PCR was performed using Power SYBR® Green PCR Master Mix
and an Applied Biosystems StepOnePlusTM Real-Time PCR System (Thermo Fisher
Scientific). The PCR primers listed in Supplementary Table 1 (online only) for target
genes were designed using Primer Express version 3.0 (Thermo Fisher Scientific). Using the
threshold cycle (CT) values of actin, beta
(Actb), or hypoxanthine phosphoribosyltransferase 1
(Hprt1) in the same sample as the endogenous control, the relative
differences in gene expression were calculated using the
2-ΔΔT method[29].
Histopathology and immunohistochemistry
Liver slices in Experiments 1 and 2 (n=10/group) were processed using a standard protocol
for paraffin embedding and were serially sectioned in 3-µm thick sections.
Immunohistochemistry was performed by incubating liver tissue sections overnight at 4°C
with primary antibodies against GST-P, a preneoplastic liver cell lesion marker in
rats[30], [31]; ATPB, which catalyzes ATP synthesis and
utilizes an electrochemical gradient of protons across the inner membrane during oxidative
phosphorylation[32]; GLUT1, which
facilitates the glucose transport across the plasma membranes of mammalian cells[33]; G6PD, an enzyme which is responsible for
the first step in the pentose phosphate pathway (PPP) to participate in nucleotide
synthesis[33]; pyruvate kinase L/R
(PKLR), a major isoform that plays a part in the glycolysis of the normal liver[34]; pyruvate kinase isozyme M2 (PKM2), which
promotes aerobic glycolysis in cancer cells[33]; neutral amino acid transporter B(0) (SLC1A5), also known as ASCT2,
which facilitates the glutamine transport across the plasma membranes of mammalian
cells[35]; and c-MYC, a regulator of
glycolysis and glutaminolysis[36]. Antigen
retrieval conditions and the concentration of each antibody are shown in Supplementary
Table 2 (online only). To inhibit endogenous peroxidase, deparaffinized sections were
incubated in 0.3% H2O2 solution in absolute methanol for 30 min.
Immunodetection was performed using a Vectastain® Elite ABC Kit (PK6101,
PK6102, PK6105, Vector Laboratories Inc., Burlingame, CA, USA) with the primary antibodies
and 3,3’-diaminobenzidine/H2O2 as the chromogen. All immunostained
slides were counterstained with hematoxylin and coverslipped for microscopic
examination.
Analysis of immunolocalization
The number and area of GST-P+ liver cell foci larger than 200 μm in diameter
in liver sections from Experiments 1 and 2 (n=10/group) were determined as described
previously[37]. In the DEN and
CCl4 groups after 84 days of treatment in Experiment 1 and the
AFB1, NPYR, TAA, and MP groups after 90 days of treatment in Experiment 2
(n=10/group), the immunoreactivity of ATPB, GLUT1, G6PD, PKLR, PKM2, and SLC1A5 was
classified as increased (+) or decreased (−) in the GST-P+ foci compared with
the surrounding hepatocytes, and the incidences of ATPB−, GLUT1+,
G6PD+, PKLR−, PKM2+, and SLC1A5+ expression
in total GST-P+ foci that appeared in liver sections per animal were estimated.
In the DEN and CCl4 groups after 28 days of treatment in Experiment 1 and NPYR
and TAA groups after 28 days of treatment in Experiment 2 (n=10/group), the ratio of
nuclear c-MYC+ cells to total liver cells was calculated in 10 randomly
selected areas at a magnification of 400×. In the DEN and CCl4 groups after 84
days of treatment in Experiment 1 and the NPYR and TAA groups after 90 days of treatment
in Experiment 2 (n=10/group), the ratio of nuclear c-MYC+ cells to total liver
cells was also calculated for each of the inside and outside regions of GST-P+
foci in 10 randomly selected areas at a magnification of 400×.
Statistical analysis
Numerical data are presented as the mean ± SD. For comparison of the numerical data
between multiple groups, values were analyzed by Bartlett’s test for homogeneity of
variance. If there was no significant difference in variance, Dunnett’s test was performed
for comparison between the untreated controls and each treatment group. If a significant
difference was found in variance, Steel’s test was performed. In case of comparison of
data among all pairs, values were analyzed by Bartlett’s test for homogeneity of variance.
If there was no significant difference in variance, Tukey’s test was performed for
comparison among the groups. If a significant difference was found in variance,
Steel-Dwass test was performed. With regard to categorical data, Fisher’s exact test was
performed. All analyses were performed using Excel Statistics 2013 software package
version 2.02 (Social Survey Research Information Co., Ltd., Tokyo, Japan), and
P<0.05 was considered statistically significant.
Results
Transcript expression changes
Table 1 and 2 summarizes the data regarding the transcript levels of the genes determined
by real-time RT-PCR in groups of genotoxic hepatocarcinogens (DEN, AFB1, NPYR,
or CRB) or non-genotoxic hepatocarcinogens (CCl4, TAA, or MP) and comparisons
with the levels in untreated controls after 28 days and 84 or 90 days of treatment in
Experiments 1 and 2 (Table 1 and 2,
Supplementary Table 3–6: online only).
Table 1.
Summary of Transcript Expression Levels in the Liver of Rats after Treatment
with Genotoxic or Non-genotoxic Hepatocarcinogen for 28 Days
Table 2.
Summary of Transcript Expression Levels in the Liver of Rats after Treatment
with Genotoxic or Non-genotoxic Hepatocarcinogen for 84 or 90 Days
After 28 days of treatment, the transcript level of Mpc2, which encodes
a mitochondrial pyruvate transporter playing a role for OXPHOS, was significantly
decreased in the AFB1, NPYR, TAA, and MP groups compared with untreated
controls. The transcript level of Atp5f1b (also known as
Atp5b), which encodes an ATP synthase, was significantly decreased in
AFB1 group, NPYR group, and all non-genotoxic hepatocarcinogen groups and
significantly increased in the CRB group compared with untreated controls. The transcript
level of Atp5if1, which encodes a mitochondrial ATPase inhibitor, was
significantly increased in the DEN and CCl4 groups and significantly decreased
in the AFB1 and NPYR groups compared with untreated controls. With regard to
genes related to glycolysis, the transcript level of Slc2a1, which
encodes a glucose transporter, was significantly decreased in the NPYR, CCl4,
and TAA groups and significantly increased in the CRB group compared with untreated
controls. The transcript level of Slc2a2 was significantly decreased in
the AFB1, CRB, CCl4, and TAA groups compared with untreated
controls. With regard to genes encoding glycolytic enzymes, the transcript level of
Hk1 was significantly increased in the AFB1, NPYR, CRB,
CCl4, and MP groups compared with untreated controls. The transcript level of
Hk2 was significantly increased in the NPYR, CRB, CCl4, and
MP groups compared with untreated controls. The transcript level of Hk3
was significantly increased in the DEN and CCl4 groups and significantly
decreased in the TAA group compared with untreated controls. The transcript level of
Pklr was significantly increased in the CRB group and significantly
decreased in all non-genotoxic hepatocarcinogen groups compared with untreated controls.
The transcript level of Pkm was significantly increased in all genotoxic
hepatocarcinogen groups and the CCl4 group compared with untreated controls.
With regard to genes related to PPP, the transcript level of G6pd was
significantly increased in the TAA group compared with untreated controls. With regard to
genes related to glutaminolysis, the transcript level of Slc1a5, which
encodes a glutamine transporter, was significantly increased in all hepatocarcinogen
groups compared with untreated controls. The transcript level of Gls,
which encodes a glutaminase, was significantly increased in the NPYR group, CRB group, and
all non-genotoxic hepatocarcinogen groups compared with untreated controls. With regard to
genes related to metabolic regulators, the transcript level of Myc was
significantly increased in the CRB group and all non-genotoxic hepatocarcinogen groups
compared with untreated controls. The transcript level of Tp53 was
significantly decreased in the AFB1 and NPYR groups and significantly increased
in all non-genotoxic hepatocarcinogen groups compared with untreated controls.After 84 or 90 days of treatment, the transcript level of Mpc2, one of
the genes related to OXPHOS, was significantly decreased in the AFB1 group,
NPYR group, CRB group, and all non-genotoxic hepatocarcinogen groups compared with
untreated controls. The transcript level of Atp5f1b was significantly
decreased in the DEN and all non-genotoxic hepatocarcinogen groups compared with untreated
controls. The transcript level of Atp5if1 was significantly increased in
the DEN and all non-genotoxic hepatocarcinogen groups compared with untreated controls.
With regard to genes related to glycolysis, the transcript level of
Slc2a1 was significantly increased in the DEN and CRB groups and
significantly decreased in the NPYR and MP groups compared with untreated controls. The
transcript level of Slc2a2 was significantly decreased in the DEN and all
non-genotoxic hepatocarcinogen groups and significantly increased in the NPYR group
compared with untreated controls. With regard to genes encoding glycolytic enzymes, the
transcript level of Hk1 was significantly increased in all
hepatocarcinogen groups compared with untreated controls. The transcript level of
Hk2 was significantly increased in the DEN, NPYR, CCl4, and
TAA groups compared with untreated controls. The transcript level of Hk3
was significantly increased in the DEN and CCl4 groups and significantly
decreased in the AFB1, NPYR, and MP groups compared with untreated controls.
The transcript level of Pklr was significantly decreased in the DEN group
and all non-genotoxic hepatocarcinogen groups and significantly increased in the
AFB1 and NPYR groups compared with untreated controls. The transcript level
of Pkm was significantly increased in all genotoxic hepatocarcinogen
groups and the CCl4 and TAA groups compared with untreated controls. With
regard to genes related to PPP, the transcript level of G6pd was
significantly increased in the DEN, NPYR, and TAA groups compared with untreated controls.
With regard to genes related to glutaminolysis, the transcript level of
Slc1a5 was significantly increased in the DEN, AFB1, NPYR
groups, and all non-genotoxic hepatocarcinogen groups compared with untreated controls.
The transcript level of Gls was significantly increased in the NPYR,
CCl4, and TAA groups compared with untreated controls. With regard to genes
related to metabolic regulators, the transcript level of Myc was
significantly increased in the DEN, CRB, and CCl4 groups and significantly
decreased in the NPYR group compared with untreated controls. The transcript level of
Tp53 was significantly decreased in the DEN, CCl4, and MP
groups and significantly increased in the AFB1 and NPYR groups compared with
untreated controls.
Measurement of proliferative lesions
In Experiments 1 and 2, there were no significant changes in the number and area of
GST-P+ foci in any of the treatment groups compared with untreated controls
after 28 days of treatment (Supplementary Tables 7 and 8: online only). There were
significantly more and larger GST-P+ foci compared with untreated controls
after 84 or 90 days of treatment with DEN, CCl4, AFB1, NPYR, TAA, or
MP.
Distribution of immunolocalized cells
In Experiments 1 and 2, ATPB, GLUT1, G6PD, PKLR, PKM2, and SLC1A5 showed cytoplasmic
expression, and GLUT1 also showed cell membrane expression in non-proliferative and
proliferative liver cells. In both genotoxic (DEN, AFB1, and NPYR) and
non-genotoxic hepatocarcinogens (CCl4, TAA, and MP), GST-P+ foci
showed either increased or decreased expression of these molecules. With regard to ATPB,
the population of GST-P+ foci downregulating expression of ATPB in
non-genotoxic hepatocarcinogens was increased, and the incidences of ATPB− foci
in GST-P+ foci were significantly increased compared with genotoxic
hepatocarcinogens in Experiments 1 and 2 (Fig. 1A and
B). With regard to GLUT1, the population of GST-P+ foci upregulating
membranous GLUT1 expression was observed in both genotoxic and non-genotoxic
hepatocarcinogens (Fig. 1A). In the
CCl4 group, the incidence of GLUT1+ foci in GST-P+ foci
was significantly decreased compared with the DEN group in Experiment 1 (Fig. 1C). In contrast, the incidence of
GLUT1+ foci in GST-P+ foci in the TAA group was significantly
increased compared with the AFB1 and NPYR groups in Experiment 2 (Fig. 1C). With regard to G6PD, the population of
GST-P+ foci upregulating expression of G6PD in the DEN and NPYR groups was
increased compared with non-genotoxic hepatocarcinogens (Fig. 1A). In non-genotoxic hepatocarcinogens, the incidences of
G6PD+ foci in GST-P+ foci were significantly decreased compared
with the DEN or NPYR groups in Experiments 1 and 2 (Fig. 1D). With regard to PKLR, the population of GST-P+ foci
downregulating expression of PKLR was increased in the TAA and MP groups. The incidence of
PKLR− foci in GST-P+ foci in the TAA group was significantly
increased compared with the AFB1 group, and the incidences of PKLR−
foci in GST-P+ foci in the TAA and MP groups were significantly increased
compared with the NPYR group in Experiment 2 (Fig. 2A
and B). With regard to PKM2, the population of GST-P+ foci upregulating PKM2
expression was observed in both genotoxic and non-genotoxic hepatocarcinogens (Fig. 2A). In the TAA and MP groups, the incidences
of PKM2+ foci in GST-P+ foci were significantly decreased compared
with the AFB1 and NPYR groups in Experiment 2 (Fig. 2C). With regard to SLC1A5, the population of
GST-P+ foci upregulating SLC1A5 expression was observed in both genotoxic and
non-genotoxic hepatocarcinogens (Fig. 3A). In the CCl4 group, the incidence of SLC1A5+ foci in
GST-P+ foci was significantly increased compared with the DEN group in
Experiment 1 (Fig. 3B). In contrast, the
incidence of SLC1A5+ foci in GST-P+ foci in the TAA group was
significantly decreased compared with the AFB1 and NPYR groups in Experiment 2
(Fig. 3B).
Fig. 1.
Immunohistochemical cellular distribution of adenosine triphosphate (ATP) synthase
subunit beta, mitochondrial precursor (ATPB), solute carrier family 2, facilitated
glucose transporter member 1 (GLUT1), and glucose-6-phosphate 1-dehydrogenase (G6PD)
in association with glutathione S-transferase placental
form-positive (GST-P+) liver cell foci after treatment with genotoxic
[N-nitrosodiethylamine (DEN), aflatoxin B1
(AFB1), or N-nitrosopyrrolidine (NPYR)] or
non-genotoxic hepatocarcinogens [carbon tetrachloride (CCl4),
thioacetamide (TAA), or methapyrilene hydrochloride (MP)] for 84 or 90 days. (A)
Representative images of the expression of ATPB, GLUT1, and G6PD in
GST-P+ foci in the DEN and CCl4 groups (×10 objective; GLUT1
×20 objective; inset ×60 objective). Bar = 100 µm, 50 µm, or 10 µm (inset). (B)
Incidences of ATPB− foci in GST-P+ foci in genotoxic and
non-genotoxic hepatocarcinogens. (C) Incidences of GLUT1+ foci in
GST-P+ foci in genotoxic and non-genotoxic hepatocarcinogens. (D)
Incidences of G6PD+ foci in GST-P+ foci in genotoxic and
non-genotoxic hepatocarcinogens. Graphs in (B), (C), and (D) show incidences (%
value, n=10) of GST-P+ foci showing altered expression of each molecule
(open column, decreased; filled column, increased) in each group.
**P<0.01, significantly different from the DEN or
AFB1 group by Fisher’s exact test.
‡P<0.01, significantly different from the NPYR group
by Fisher’s exact test.
Fig. 2.
Immunohistochemical cellular distribution of pyruvate kinase L/R (PKLR) and
pyruvate kinase isozyme M2 (PKM2) in association with glutathione
S-transferase placental form-positive (GST-P+) liver
cell foci after treatment with genotoxic [N-nitrosodiethylamine
(DEN), aflatoxin B1 (AFB1), or
N-nitrosopyrrolidine (NPYR)] or non-genotoxic hepatocarcinogens
[carbon tetrachloride (CCl4), thioacetamide (TAA), or methapyrilene
hydrochloride (MP)] for 84 or 90 days. (A) Representative images of the expression
of PKLR and PKM2 in GST-P+ foci in the NPYR and TAA groups (×20
objective). Bar = 50 µm. (B) Incidences of PKLR− foci in
GST-P+ foci in genotoxic and non-genotoxic hepatocarcinogens. (C)
Incidences of PKM2+ foci in GST-P+ foci in genotoxic and
non-genotoxic hepatocarcinogens. Graphs in (B) and (C) show incidences (% value,
n=10) of GST-P+ foci showing altered expression of each molecule (open
column, decreased; filled column, increased) in each group.
**P<0.01, significantly different from the AFB1 group
by Fisher’s exact test. †P<0.05, significantly
different from the NPYR group by Fisher’s exact test.
‡P<0.01, significantly different from the NPYR group
by Fisher’s exact test.
Fig. 3.
Immunohistochemical cellular distribution of neutral amino acid transporter B(0)
(SLC1A5) in association with glutathione S-transferase placental
form-positive (GST-P+) liver cell foci after treatment with genotoxic
[N-nitrosodiethylamine (DEN), aflatoxin B1
(AFB1), or N-nitrosopyrrolidine (NPYR)] or
non-genotoxic hepatocarcinogens [carbon tetrachloride (CCl4),
thioacetamide (TAA), or methapyrilene hydrochloride (MP)] for 84 or 90 days. (A)
Representative images of the expression of SLC1A5 in GST-P+ foci in the
DEN and CCl4 groups (×20 objective). Bar = 50 µm. (B) Incidences of
SLC1A5+ foci in GST-P+ foci in genotoxic and non-genotoxic
hepatocarcinogens. Graphs in (B) show incidences (% value, n=10) of
GST-P+ foci showing altered expression of each molecule (filled column,
increased) in each group. *P<0.05, significantly different from
the DEN or AFB1 group by Fisher’s exact test.
**P<0.01, significantly different from the DEN or
AFB1 group by Fisher’s exact test.
‡P<0.01, significantly different from the NPYR group
by Fisher’s exact test.
Immunohistochemical cellular distribution of adenosine triphosphate (ATP) synthase
subunit beta, mitochondrial precursor (ATPB), solute carrier family 2, facilitated
glucose transporter member 1 (GLUT1), and glucose-6-phosphate 1-dehydrogenase (G6PD)
in association with glutathione S-transferase placental
form-positive (GST-P+) liver cell foci after treatment with genotoxic
[N-nitrosodiethylamine (DEN), aflatoxin B1
(AFB1), or N-nitrosopyrrolidine (NPYR)] or
non-genotoxic hepatocarcinogens [carbon tetrachloride (CCl4),
thioacetamide (TAA), or methapyrilene hydrochloride (MP)] for 84 or 90 days. (A)
Representative images of the expression of ATPB, GLUT1, and G6PD in
GST-P+ foci in the DEN and CCl4 groups (×10 objective; GLUT1
×20 objective; inset ×60 objective). Bar = 100 µm, 50 µm, or 10 µm (inset). (B)
Incidences of ATPB− foci in GST-P+ foci in genotoxic and
non-genotoxic hepatocarcinogens. (C) Incidences of GLUT1+ foci in
GST-P+ foci in genotoxic and non-genotoxic hepatocarcinogens. (D)
Incidences of G6PD+ foci in GST-P+ foci in genotoxic and
non-genotoxic hepatocarcinogens. Graphs in (B), (C), and (D) show incidences (%
value, n=10) of GST-P+ foci showing altered expression of each molecule
(open column, decreased; filled column, increased) in each group.
**P<0.01, significantly different from the DEN or
AFB1 group by Fisher’s exact test.
‡P<0.01, significantly different from the NPYR group
by Fisher’s exact test.Immunohistochemical cellular distribution of pyruvate kinase L/R (PKLR) and
pyruvate kinase isozyme M2 (PKM2) in association with glutathione
S-transferase placental form-positive (GST-P+) liver
cell foci after treatment with genotoxic [N-nitrosodiethylamine
(DEN), aflatoxin B1 (AFB1), or
N-nitrosopyrrolidine (NPYR)] or non-genotoxic hepatocarcinogens
[carbon tetrachloride (CCl4), thioacetamide (TAA), or methapyrilene
hydrochloride (MP)] for 84 or 90 days. (A) Representative images of the expression
of PKLR and PKM2 in GST-P+ foci in the NPYR and TAA groups (×20
objective). Bar = 50 µm. (B) Incidences of PKLR− foci in
GST-P+ foci in genotoxic and non-genotoxic hepatocarcinogens. (C)
Incidences of PKM2+ foci in GST-P+ foci in genotoxic and
non-genotoxic hepatocarcinogens. Graphs in (B) and (C) show incidences (% value,
n=10) of GST-P+ foci showing altered expression of each molecule (open
column, decreased; filled column, increased) in each group.
**P<0.01, significantly different from the AFB1 group
by Fisher’s exact test. †P<0.05, significantly
different from the NPYR group by Fisher’s exact test.
‡P<0.01, significantly different from the NPYR group
by Fisher’s exact test.Immunohistochemical cellular distribution of neutral amino acid transporter B(0)
(SLC1A5) in association with glutathione S-transferase placental
form-positive (GST-P+) liver cell foci after treatment with genotoxic
[N-nitrosodiethylamine (DEN), aflatoxin B1
(AFB1), or N-nitrosopyrrolidine (NPYR)] or
non-genotoxic hepatocarcinogens [carbon tetrachloride (CCl4),
thioacetamide (TAA), or methapyrilene hydrochloride (MP)] for 84 or 90 days. (A)
Representative images of the expression of SLC1A5 in GST-P+ foci in the
DEN and CCl4 groups (×20 objective). Bar = 50 µm. (B) Incidences of
SLC1A5+ foci in GST-P+ foci in genotoxic and non-genotoxic
hepatocarcinogens. Graphs in (B) show incidences (% value, n=10) of
GST-P+ foci showing altered expression of each molecule (filled column,
increased) in each group. *P<0.05, significantly different from
the DEN or AFB1 group by Fisher’s exact test.
**P<0.01, significantly different from the DEN or
AFB1 group by Fisher’s exact test.
‡P<0.01, significantly different from the NPYR group
by Fisher’s exact test.In Experiments 1 and 2, c-MYC showed immunolocalization in the nucleus of liver cells.
Furthermore, the numbers of c-MYC+ cells were significantly increased in the
CCl4 and TAA groups and significantly decreased in the NPYR group compared
with untreated controls after 28 days of treatment (Fig. 4A). The numbers of c-MYC+ cells were significantly increased in liver
cells distributed outside of GST-P+ foci in both the DEN and CCl4
groups after 84 days of treatment compared with untreated controls in Experiment 1 and
significantly decreased in the liver cells distributed outside of GST-P+ foci
in the NPYR group after 90 days of treatment compared with untreated controls in
Experiment 2 (Fig. 4B). The numbers of
c-MYC+ cells were significantly increased in liver cells inside of
GST-P+ foci in both genotoxic and non-genotoxic hepatocarcinogens compared
with those distributed outside of GST-P+ foci in each group after 84 or 90 days
of treatment in Experiments 1 and 2 (Fig.
4B).
Fig. 4.
Distribution of c-MYC+ cells in the liver of rats after treatment with
genotoxic [N-nitrosodiethylamine (DEN) or
N-nitrosopyrrolidine (NPYR)] or non-genotoxic hepatocarcinogens
[carbon tetrachloride (CCl4) or thioacetamide (TAA)] for 28 days and
distribution of c-MYC+ cells in association with glutathione
S-transferase placental form-positive (GST-P+) liver
cell foci after treatment with genotoxic (DEN or NPYR) or non-genotoxic
hepatocarcinogens (CCl4 or TAA) for 84 or 90 days. (A) Representative
images of the expression of c-MYC in the liver in the DEN and CCl4 groups
(×40 objective). Bar = 20 µm. (B) Representative images of the expression of c-MYC
of inside (IN) or outside (OUT) of GST-P+ foci in the DEN and
CCl4 groups (×40 objective). Bar = 20 µm. Graphs in (A) and (B) show
the number of c-MYC+ cells (/100 cells; value, mean + SD) IN or OUT of
GST-P+ foci in each group. **P<0.01, significantly
different from OUT of untreated controls by Tukey’s or Steel-Dwass test.
‡P<0.01, significantly different from OUT of
GST-P+ foci in the DEN or NPYR group by Tukey’s or Steel-Dwass test.
§P<0.05, significantly different from OUT of
GST-P+ foci in the CCl4 or TAA group by Tukey’s or
Steel-Dwass test. §§P<0.01, significantly different
from OUT of GST-P+ foci in the CCl4 or TAA group by Tukey’s or
Steel-Dwass test.
Distribution of c-MYC+ cells in the liver of rats after treatment with
genotoxic [N-nitrosodiethylamine (DEN) or
N-nitrosopyrrolidine (NPYR)] or non-genotoxic hepatocarcinogens
[carbon tetrachloride (CCl4) or thioacetamide (TAA)] for 28 days and
distribution of c-MYC+ cells in association with glutathione
S-transferase placental form-positive (GST-P+) liver
cell foci after treatment with genotoxic (DEN or NPYR) or non-genotoxic
hepatocarcinogens (CCl4 or TAA) for 84 or 90 days. (A) Representative
images of the expression of c-MYC in the liver in the DEN and CCl4 groups
(×40 objective). Bar = 20 µm. (B) Representative images of the expression of c-MYC
of inside (IN) or outside (OUT) of GST-P+ foci in the DEN and
CCl4 groups (×40 objective). Bar = 20 µm. Graphs in (A) and (B) show
the number of c-MYC+ cells (/100 cells; value, mean + SD) IN or OUT of
GST-P+ foci in each group. **P<0.01, significantly
different from OUT of untreated controls by Tukey’s or Steel-Dwass test.
‡P<0.01, significantly different from OUT of
GST-P+ foci in the DEN or NPYR group by Tukey’s or Steel-Dwass test.
§P<0.05, significantly different from OUT of
GST-P+ foci in the CCl4 or TAA group by Tukey’s or
Steel-Dwass test. §§P<0.01, significantly different
from OUT of GST-P+ foci in the CCl4 or TAA group by Tukey’s or
Steel-Dwass test.
Discussion
In the present study, non-genotoxic hepatocarcinogens started to downregulate
OXPHOS-related genes, Mpc2 and Atp5f1b, after 28 days of
treatment, and after 84 or 90 days of treatment, all non-genotoxic hepatocarcinogens
downregulated these genes. In contrast, non-genotoxic hepatocarcinogens upregulated
Atp5if1, which encodes mitochondrial ATPase inhibitor, after 84 or 90
days of treatment. While genotoxic hepatocarcinogens did not specifically change the
expression of these genes after 28 days of treatment, most genotoxic hepatocarcinogens later
decreased the Mpc2 transcript level. Immunohistochemically, the incidences
of ATPB− foci in GST-P+ foci induced by treatment with non-genotoxic
hepatocarcinogens after 84 or 90 days of treatment were higher than those with genotoxic
hepatocarcinogens. ATP synthase is downregulated in many types of cancer[14], and we have previously found an increase in
the number of GST-P+ liver foci reducing mitochondrial ATP synthase in the early
stage of tumor promotion by non-genotoxic hepatocarcinogens[16]. Therefore, our results suggest the onset of suppressed OXPHOS
toward carcinogenesis from as early as 28 days of non-genotoxic hepatocarcinogen treatment
before the formation of GST-P+ foci.With regard to glycolysis-related cellular events, we found that treatment with
non-genotoxic hepatocarcinogens for 28 days and for 84 or 90 days downregulated genes
encoding glucose transporters. On the other hand, genotoxic hepatocarcinogens did not
specifically change the expression of these genes at any time point. Immunohistochemically,
a subpopulation of GLUT1+ foci appeared in GST-P+ foci with all
hepatocarcinogens after 84 or 90 days of treatment without relation to genotoxic potential.
Moreover, transcript upregulation was observed in genes encoding glycolytic enzymes with
both genotoxic and non-genotoxic hepatocarcinogens after treatment for 28 days and for 84 or
90 days. Glycolysis produces ATP with lower efficiency but at a faster rate than OXPHOS,
suggesting that this faster rate of ATP production aids the rapid proliferation of cancer
cells[38], [39]. Moreover, we have previously found a
catastrophic cellular senescence-related metabolic shift from OXPHOS to glycolysis in
GST-P+ proliferative lesions from the early stage of tumor promotion by
non-genotoxic hepatocarcinogens[16].
Therefore, it could be suggested that the metabolic shift from OXPHOS to glycolysis is the
initial cellular event that activates cell proliferation beneficial for hepatocarcinogenesis
without relation to the genotoxic potential of hepatocarcinogens.With regard to expression changes of metabolic regulators, we found that the transcript
level of Myc and nuclear c-MYC+ cells were increased by all
non-genotoxic hepatocarcinogens after 28 days of treatment. In addition, we observed that
the number of c-MYC+ cells inside of GST-P+ foci was increased
compared with that of those distributed outside of GST-P+ foci after 84 or 90
days of treatment with any of the genotoxic and non-genotoxic hepatocarcinogens. c-MYC, a
well-known driver of cell proliferation, stimulates glycolysis by activation of glucose
transporters and glycolytic enzymes[40]. On
the other hand, it has been reported that suppression of c-MYC induces cellular
senescence[41]. Therefore, it can be
postulated that activation of c-MYC-mediated gene transcription occurs from as early as 28
days of treatment with non-genotoxic hepatocarcinogens before the formation of
GST-P+ foci. While we could not identify the candidate molecules, target genes
of c-MYC-mediated transcription may be those contributing to facilitation of glycolysis and
cell proliferation, which promoted escape from cellular senescence and advancement to
carcinogenesis in the present study. In this study, we found that the transcript level of
Tp53 was increased by all non-genotoxic hepatocarcinogens after 28 days
of treatment. In contrast, expression of Tp53 was decreased after treatment
with non-genotoxic hepatocarcinogen for 84 or 90 days, except for TAA. In contrast,
genotoxic hepatocarcinogens did not consistently change the transcript level of
Tp53 at any time point. It has been reported that p53 promotes
mitochondrial OXPHOS by activation of Sco2, which encodes cytochrome c
oxidase 2[42]. Moreover, p53 regulates
glucose transporters and glycolytic enzymes[13], [33]. These
findings suggest that a metabolic shift from mitochondrial OXPHOS to glycolysis in liver
cells is promoted by downregulation of Tp53 after repeated treatment with
non-genotoxic hepatocarcinogens. Moreover, a combined effect of c-MYC upregulation and p53
downregulation facilitates glucose consumption and utilization in tumor cells, suggesting
reprogramming of cellular metabolism for acquiring the hallmark capabilities of cell
proliferation, avoidance of cytostatic controls, and attenuation of apoptosis[43]. Therefore, our results indicate that
non-genotoxic hepatocarcinogens enhance a metabolic shift by inducing a combined effect of
c-MYC upregulation and p53 downregulation, resulting in the facilitation of carcinogenic
steps.Among genes encoding glycolytic enzymes, we observed transcript upregulation of
Pkm, which encodes pyruvate kinase isozymes M1/M2 (PKM1/PKM2), after 28
days of treatment with any of the genotoxic hepatocarcinogens and after 84 or 90 days of
treatment with non-genotoxic hepatocarcinogens, except for MP. Immunohistochemically, the
incidences of PKM2+ foci in GST-P+ foci induced by treatment with
genotoxic hepatocarcinogens, AFB1 and NPYR, for 90 days were higher than those
with non-genotoxic hepatocarcinogens, whereas no changes in the incidence were observed with
genotoxic DEN and non-genotoxic CCl4 after 84 days of treatment. PKM2, the major
isozyme in the fetus, is expressed in the majority of proliferating cells and essentially
all cancer cells[44]. PKM2 not only plays a
role in glycolysis to achieve the nutrient demands of cancer cell proliferation but also
contributes to carcinogenesis as a coactivator and protein kinase[45]. These findings may suggest an onset of disruptive activation
of PKM2 toward carcinogenesis from as early as 28 days of genotoxic hepatocarcinogen
treatment before the formation of GST-P+ foci. On the other hand, we found
downregulation of Pklr, which encodes pyruvate kinase isozymes L/R
(PKL/PKR), after treatment with any of the non-genotoxic hepatocarcinogens for 28 days and
for 84 or 90 days. In addition, the incidences of PKLR− foci in GST-P+
foci induced by treatment with non-genotoxic hepatocarcinogens, TAA and MP, for 90 days were
higher than those with genotoxic hepatocarcinogens, whereas no changes in the incidence were
observed with genotoxic DEN and non-genotoxic CCl4 after 84 days of treatment.
PKL is the major isoform in the normal liver[34]. We have also previously reported that non-genotoxic hepatocarcinogen
treatment for up to 90 days induces a molecular shift from Pklr to
Pkm[16]. Therefore, it
could be suggested that the molecular shift from PKLR to PKM2 is the initial cellular event
that activates cell proliferation beneficial for hepatocarcinogenesis by repeated treatment
with non-genotoxic hepatocarcinogens. These findings suggest that these cellular
metabolism-related pyruvate kinase genes and molecules provide early detection markers of
non-genotoxic hepatocarcinogens in a scheme of 28- or 90-day repeated administration studies
in rats.In the present study, we found that genotoxic hepatocarcinogen treatment for 84 or 90 days
increased the incidences of G6PD+ foci in GST-P+ foci compared with
those with non-genotoxic hepatocarcinogen treatment. G6PD catalyzes the conversion of
glucose-6-phosphate to 6-phosphogluconate to facilitate the process of PPP, which
participates in nucleotide synthesis and produces nicotinamide adenine dinucleotide
phosphate (NADPH) to reduce DNA damage caused by oxidative stress[33]. G6PD activity is increased in tumor cells, and overexpression
of G6PD stimulates cell growth in tumor cells by providing ribose-5-phosphate for nucleic
acid synthesis[46]. Therefore, an increase
of G6PD in GST-P+ foci by repeated treatment with genotoxic hepatocarcinogens
suggests an enhanced synthesis of ribose-5-phosphate and NADPH by activation of
G6PD-mediated PPP to facilitate carcinogenesis steps.With regard to glutaminolysis, we found upregulation of Slc1a5, which
encodes a glutamine transporter, after treatment with both genotoxic and non-genotoxic
hepatocarcinogens for 28 days and for 84 or 90 days. Immunohistochemically,
SLC1A5+ foci in GST-P+ foci were observed with all hepatocarcinogens
after treatment for 84 or 90 days without relation to genotoxic potential in this study.
SLC1A5 is reported to be overexpressed in cancer cells and is transcriptionally upregulated
by c-MYC[13], [47]. Moreover, glutamine, which is transported
into cells through SLC1A5, is not only used as a major substrate for OXPHOS but also used
for the synthesis of other macromolecules, such as nucleotides, proteins, and hexosamines
for cell growth and survival[47]. These
findings suggest that the disruptive activation of c-MYC-mediated Slc1a5
facilitates cell proliferation toward carcinogenesis from as early as 28 days of
non-genotoxic hepatocarcinogen treatment and at 84 or 90 days of genotoxic hepatocarcinogen
treatment. In this study, we also found upregulation of Gls, which encodes
glutaminase, after treatment with any of the non-genotoxic hepatocarcinogens for 28 days and
after treatment with 2 of 3 non-genotoxic hepatocarcinogens for 84 or 90 days. On the other
hand, genotoxic hepatocarcinogens did not consistently change the transcript level of
Gls at any time point. GLS catalyzes the conversion of glutamine to
glutamate in mitochondria and is expressed in a wide variety of tumors, and its upregulation
correlates with tumor growth[47].
Interestingly, Gls expression is also regulated by c-MYC, resulting in the
promotion of tumor development[13].
Therefore, it could be suggested that activation of c-MYC induces glutaminolysis-related
genes in liver cells to facilitate carcinogenesis from as early as 28 days of non-genotoxic
hepatocarcinogen treatment before the formation of GST-P+ foci.
Conclusion
Both genotoxic and non-genotoxic hepatocarcinogens facilitated glycolysis after 28 days
of repeated treatment in rats. Non-genotoxic hepatocarcinogens suppressed mitochondrial
OXPHOS and activated c-MYC, suggesting enhancement of a metabolic shift from OXPHOS to
glycolysis to cause disruptive cellular senescence and facilitation of cell proliferation
from as early as 28 days of treatment before the formation of GST-P+ foci.
Later, non-genotoxic hepatocarcinogens caused Tp53 downregulation in
addition to c-MYC activation, contributing to further facilitation of the metabolic shift
and cell proliferation. This resulted in promoting the escape from cellular senescence and
advancement to carcinogenesis. Until 84 or 90 days of treatment, genotoxic
hepatocarcinogens also enhanced a metabolic shift via c-MYC activation. However,
Tp53 downregulation was not essential in this case. In addition, both
genotoxic and non-genotoxic hepatocarcinogens upregulated either or both of
glutaminolysis-related Slc1a5 and Gls after 28 days of
treatment, and induced liver cell foci immunoreactive for SLC1A5 in a subpopulation of
GST-P+ foci after 84 or 90 days of treatment, suggesting that
glutaminolysis-mediated cell proliferation undergoes a hepatocarcinogenesis step. These
results suggest differential responses between genotoxic and non-genotoxic
hepatocarcinogens on the reprogramming of energy metabolic pathways toward carcinogenesis
in liver cells from the early stage of hepatocarcinogen treatment (Fig. 5). Further study may be necessary to address the underlying mechanism for producing
these differences between genotoxic and non-genotoxic hepatocarcinogens to clarify the
respective carcinogenic mechanisms.
Fig. 5.
Schematic summary of the responses on energy metabolic pathway reprogramming by
genotoxic or non-genotoxic hepatocarcinogens in rat liver cells.
Schematic summary of the responses on energy metabolic pathway reprogramming by
genotoxic or non-genotoxic hepatocarcinogens in rat liver cells.
Disclosure of Potential Conflicts of Interest
All authors declare that there are no conflicts of interest that influenced the outcome of
the present study.Sequence of primers used for real-time RT-PCR analysis
Authors: Satoaki Matoba; Ju-Gyeong Kang; Willmar D Patino; Andrew Wragg; Manfred Boehm; Oksana Gavrilova; Paula J Hurley; Fred Bunz; Paul M Hwang Journal: Science Date: 2006-05-25 Impact factor: 47.728
Authors: James T MacGregor; Roland Frötschl; Paul A White; Kenny S Crump; David A Eastmond; Shoji Fukushima; Melanie Guérard; Makoto Hayashi; Lya G Soeteman-Hernández; George E Johnson; Toshio Kasamatsu; Dan D Levy; Takeshi Morita; Lutz Müller; Rita Schoeny; Maik J Schuler; Véronique Thybaud Journal: Mutat Res Genet Toxicol Environ Mutagen Date: 2014-10-27 Impact factor: 2.873