Panupong Mahalapbutr1, Ronnakorn Leechaisit2, Anusit Thongnum3, Duangjai Todsaporn4, Veda Prachayasittikul5, Thanyada Rungrotmongkol4,6, Supaluk Prachayasittikul5, Somsak Ruchirawat7,8, Virapong Prachayasittikul9, Ratchanok Pingaew2. 1. Department of Biochemistry, and Center for Translational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand. 2. Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok 10110, Thailand. 3. Department of Physics, Faculty of Science, Srinakharinwirot University, Bangkok 10110, Thailand. 4. Structural and Computational Biology Research Unit, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand. 5. Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand. 6. Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand. 7. Laboratory of Medicinal Chemistry and Program in Chemical Sciences, Chulabhorn Research Institute, Chulabhorn Graduate Institute, Bangkok 10210, Thailand. 8. Commission on Higher Education, Ministry of Education, Center of Excellence on Environmental Health and Toxicology (EHT), Bangkok 10400, Thailand. 9. Department of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand.
Abstract
Epidermal growth factor receptor (EGFR) has been recognized as one of the attractive targets for anticancer drug development. Herein, a set of anilino-1,4-naphthoquinone derivatives (3-18) was synthesized and investigated for their anticancer and EGFR inhibitory potentials. Among all tested compounds, three derivatives (3, 8, and 10) were selected for studying EGFR inhibitory activity (in vitro and in silico) due to their most potent cytotoxic activities against six tested cancer cell lines (i.e., HuCCA-1, HepG2, A549, MOLT-3, MDA-MB-231, and T47D; IC50 values = 1.75-27.91 μM), high selectivity index (>20), and good predicted drug-like properties. The experimental results showed that these three promising compounds are potent EGFR inhibitors with nanomolar IC50 values (3.96-18.64 nM). Interestingly, the most potent compound 3 bearing 4-methyl substituent on the phenyl ring displayed 4-fold higher potency than the known EGFR inhibitor, erlotinib. Molecular docking, molecular dynamics simulation, and MM/GBSA-based free energy calculation revealed that van der Waals force played a major role in the accommodations of compound 3 within the ATP-binding pocket of EGFR. Additionally, the 4-CH3 moiety of the compound was noted to be a key chemical feature contributing to the highly potent EGFR inhibitory activity via its formations of alkyl interactions with A743, K745, M766, and L788 residues as well as additional interactions with M766 and T790.
Epidermal growth factor receptor (EGFR) has been recognized as one of the attractive targets for anticancer drug development. Herein, a set of anilino-1,4-naphthoquinone derivatives (3-18) was synthesized and investigated for their anticancer and EGFR inhibitory potentials. Among all tested compounds, three derivatives (3, 8, and 10) were selected for studying EGFR inhibitory activity (in vitro and in silico) due to their most potent cytotoxic activities against six tested cancer cell lines (i.e., HuCCA-1, HepG2, A549, MOLT-3, MDA-MB-231, and T47D; IC50 values = 1.75-27.91 μM), high selectivity index (>20), and good predicted drug-like properties. The experimental results showed that these three promising compounds are potent EGFR inhibitors with nanomolar IC50 values (3.96-18.64 nM). Interestingly, the most potent compound 3 bearing 4-methyl substituent on the phenyl ring displayed 4-fold higher potency than the known EGFR inhibitor, erlotinib. Molecular docking, molecular dynamics simulation, and MM/GBSA-based free energy calculation revealed that van der Waals force played a major role in the accommodations of compound 3 within the ATP-binding pocket of EGFR. Additionally, the 4-CH3 moiety of the compound was noted to be a key chemical feature contributing to the highly potent EGFR inhibitory activity via its formations of alkyl interactions with A743, K745, M766, and L788 residues as well as additional interactions with M766 and T790.
Cancer is the second
most common serious public health problem
ranked behind cardiovascular diseases.[1] The burdens of cancer incidence and mortality are rapidly increasing
worldwide,[2] which have rendered the discovery
of novel effective anticancer drugs a research hotspot. Receptor tyrosine
kinases are well known as key protein signaling regulators for many
cellular events including cancer-related processes.[3] Currently, many tyrosine kinase inhibitors are approved
as anticancer drugs and have taken a promising place in clinical cancer
management.[3] Epidermal growth factor receptor
(EGFR) is a member of the ErbB family of the receptor tyrosine kinases,[4] in which its upregulations are found in many
types of cancers such as breast cancer, non-small cell lung cancer,
cholangiocarcinoma, ovarian cancer, prostate cancer, leukemia, and
colon cancer.[5−9] An overexpression of EGFR consequently activates prooncogenic downstream
signaling pathways including PI3K/AKT/mTOR and RAS/RAF/MEK/ERK.[10] These pathways play key roles in oncogenesis-related
events, including cell survival, cell proliferation, cell differentiation,
cellular apoptosis, and metastasis.[11,12] Accordingly,
the EGFR is considered one of the attractive targets for cancer treatment.
The first-generation tyrosine kinase inhibitors (i.e., erlotinib and
gefitinib) were developed as reversible EGFR inhibitors.[13] However, these drugs are concerning for their
acquired drug resistance[14] and considerable
side effects.[15,16] Thus, the discovery of a novel
class of EGFR inhibitors with improved efficacy but minimized toxicity
is an area of urgent need.[17,18]Naphthoquinone,
a derivative of naphthalene bearing two carbonyl
groups, is a privileged scaffold found in many classes of naturally
occurring bioactive compounds. Some of naphthoquinone-based compounds
have been used as anticancer drugs, including doxorubicin and daunorubicin.[19,20] Various molecular mechanisms underlying the anticancer properties
of the naphthoquinone-based compounds have been reported.[21−23] Among these, inhibition of the EGFR signaling pathway was noted
for anticancer action against several types of cancer cells. Examples
of naphthoquinones acting as EGFR inhibitors are shown in Figure . Furano-1,2-naphthoquinone I(24) and synthetic shikonin derivatives
containing benzoylacrylic acid II(25) (Figure ) were reported to inhibit EGFR and induce cell cycle arrest in the
G2/M phase, leading to cellular apoptosis. Some plant-derived 1,4-naphthoquinone
derivatives with EGFR inhibitory effect were also reported. For instance,
shikonin, a compound found in Lithospermum erythrorhizon, was reported to inhibit EGFR in human epidermoid carcinoma,[26] glioblastoma,[27] and
non-small cell lung cancer cells.[28] Likewise,
plumbagin, isolated from the roots of Plumbago zeylanica L., was reported to exert the same effect against in vitro pancreatic cancer cell line as well as in vivo study.[29] Notably, 1,4-naphthoquinones embedded with an
amino group or substituted amino groups on the quinone ring have been
extensively reported to possess anticancer properties.[30−37] However, their underlying mechanisms and molecular targets for anticancer
effects are still rarely understood.
Figure 1
Chemical structures of furano-1,2-naphthoquinone I, shikonin, benzoylacrylic acid shikonin II,
plumbagin,
aminonaphthoquinones, and erlotinib.
Chemical structures of furano-1,2-naphthoquinone I, shikonin, benzoylacrylic acid shikonin II,
plumbagin,
aminonaphthoquinones, and erlotinib.Understanding of target–ligand binding modes and interactions
as well as drug-likeness (or pharmacokinetic properties) is essential
for successful drug design and development. Computational approaches
are well known as facilitating tools in drug discovery (i.e., increasing
success rate, saving time and cost, and gaining beneficial key findings
toward effective structural design and optimization).[38] Molecular docking and molecular dynamics (MD) simulation
have been widely utilized for elucidating possible molecular targets
and binding interactions.[39] Poor drug-likeness
and severe toxicities are highly concerned as causative factors of
late-stage failure in the development pipeline. Currently, in silico drug-likeness predictions have been used for prioritizing
compounds to facilitate successful clinical development.[40] Examples of computer-aided development of novel
anticancer agents were reported by our group[41,42] as well as others.[43]Based on the
structural features of available EGFR inhibitors (i.e.,
naphthoquinones and erlotinib in Figure ), it is anticipated that the naphthoquinone
skeleton could mimic the quinaxoline ring of erlotinib. Modification
of the core skeleton with various substituents possessing different
hydrophobic, electronic, and H-bonding properties would contribute
to the formations of additional interactions and enhanced binding
with the target protein. Thus, a set of new naphthoquinone-based EFGR
inhibitors was rationally designed by introducing another suitable
functionality to the 1,4-naphthoquinone system as follows: (i) using
anilino-1,4-naphthoquinone as a core structure, (ii) varying the substituents
(R = electron donating and electron withdrawing groups) on the aniline
ring, and (iii) varying the substituents (X = H, Cl, and Br) on the
quinone ring. A set of amino-1,4-naphthoquinone derivatives 3–18 (Scheme ) was synthesized, and their anticancer activities
were evaluated against six cancer cell lines. Cytotoxicity of the
compounds against the normal cell line (MRC-5) was also performed,
and the selectivity index (SI) was calculated. Anticancer activities
and SI values of the compounds were primarily considered to prioritize
a set of compounds for further in vitro investigation
on EGFR inhibitory activity. Drug-likeness of the selected compounds
was also predicted using in silico tool to ensure
their potential of successful development. Subsequently, molecular
docking and MD simulation were carried out to elucidate possible binding
modalities and interactions. Taken together, the findings from this
study would be beneficial for further design and development of anilino-1,4-naphthoquinone-based
compounds as novel anticancer drugs targeting the EGFR tyrosine kinase.
Scheme 1
Synthesis of Anilino-1,4-naphthoquinone Derivatives 3–18
Results and Discussion
Chemistry
Three sets of chloro-1,4-naphthoquinones
(3–12, series I), bromo-1,4-naphthoquinones (13–15, series II), and 1,4-naphthoquinones (16–18, series III) were synthesized by treatment of aniline derivatives 2 with 2,3-dichloro-1,4-naphthoquinone 1a, 2,3-dibromo-1,4-naphthoquinone 1b, and 1,4-naphthoquinone 1c, respectively,
in refluxing ethanol[36] as shown in Scheme . The desired products
were gained in 24–81% yields. Structures of all naphthoquinones
(3–18) were confirmed based on their 1H-, 13C NMR, IR, and high-resolution mass spectroscopy
(HRMS) data. 1H NMR spectra displayed the presence of NH
proton as a singlet at chemical shift 9–10 ppm indicating the
nucleophilic displacement reaction of the anilino group. In addition, 13C NMR spectra exhibited a typical signal of two carbonyl
groups (C=O) at a chemical shift in the range of 175–185
ppm. Furthermore, IR spectra showed N–H and C=O absorptions
at 3200–3400 and 1660–1680 cm–1, respectively.
All desired products had molecular ion peaks corresponding to their
molecular formulas. Compounds 3–18 are 2,3-disubstituted
1,4-naphthoquinones with the X group (X = H, Cl, Br) and aniline ring
containing the R substituent (R = H, CH3, OH, OCH3, CF3, CN, NO2, and halogen).
Cytotoxic Activity
Cytotoxic activity of the anilino-1,4-naphthoquinone
derivatives (3–18) was investigated against six
human cancer cell lines: HuCCA-1 (cholangiocarcinoma), HepG2 (hepatocellular
carcinoma), A549 (lung carcinoma), MOLT-3 (lymphoblastic leukemia),
MDA-MB-231 (hormone-independent breast cancer), and T47D (hormone-dependent
breast cancer) as summarized in Table . Etoposide and doxorubicin were used as reference
drugs.
Table 1
Cytotoxic Activity (IC50, μM)
of Anilino-1,4-naphthoquinone Derivatives (3–18)
cell linese
compound
R
HuCCA-1
A549
MOLT-3
HepG2
MDA-MB-231
T47D
MRC-5
3a,d
4-CH3
42.18 ± 1.96
NC
4.30 ± 0.46
127.39 ± 0.65
10.68 ± 1.89
39.50 ± 0.30
92.43 ± 0.02
4a
4-F
58.70 ± 0.64
148.49 ± 2.55
7.45 ± 1.06
131.89 ± 1.13
17.04 ± 0.20
17.93 ± 0.76
20.15 ± 1.40
5a
4-Br
NC
NC
NC
NC
NC
NC
NC
6a
4-I
NC
NC
42.58 ± 8.11
NC
NC
52.51 ± 0.85
NC
7a
4-CF3
NC
NC
7.68 ± 0.84
NC
70.77 ± 2.19
63.35 ± 2.12
NC
8a,d
4-NO2
16.28 ± 0.98
69.97 ± 2.04
1.98 ± 0.28
86.06 ± 1.61
11.13 ± 2.84
11.68 ± 0.19
74.90 ± 7.21
9a
4-CN
22.67 ± 0.09
72.72 ± 0.21
1.75 ± 0.20
73.37 ± 2.26
43.08 ± 0.19
11.27 ± 0.06
18.40 ± 1.65
10a,d
3-NO2
42.07 ± 0.74
114.08 ± 0.71
2.98 ± 0.25
NC
16.22 ± 0.57
19.20 ± 1.77
74.53 ± 0.71
11a
4-OCH3
NC
NC
17.59 ± 3.30
NC
104.55 ± 2.72
NC
NC
12a
4-OH
8.21 ± 0.33
30.73 ± 0.18
4.67 ± 0.24
22.59 ± 0.87
4.77 ± 0.07
14.71 ± 0.43
11.41 ± 3.28
13b
H
15.63 ± 0.54
27.91 ± 0.05
2.74 ± 0.02
20.08 ± 0.54
9.48 ± 2.17
10.12 ± 0.27
15.27 ± 2.67
14b
4-F
16.18 ± 1.65
50.04 ± 3.00
4.65 ± 0.41
19.07 ± 0.82
7.54 ± 2.07
28.46 ± 1.00
12.45 ± 0.74
15b
4-Br
70.16 ± 1.12
NC
7.17 ± 1.12
4.94 ± 0.02
65.45 ± 3.01
NC
NC
16c
H
96.25 ± 2.84
40.76 ± 1.51
NC
25.07 ± 3.31
30.37 ± 0.86
NC
NC
17c
4-F
9.65 ± 1.99
NC
NC
23.39 ± 3.45
21.82 ± 2.95
88.68 ± 1.64
21.55 ± 2.45
18c
4-OCH3
NC
NC
NC
NC
NC
NC
NC
doxorubicinf
1.17 ± 0.05
0.34 ± 0.01
0.02 ± 0.00
0.50 ± 0.04
2.10 ± 0.06
1.04 ± 0.01
2.67 ± 0.20
etoposidef
ND
ND
0.05 ± 0.00
50.02 ± 3.70
ND
ND
ND
Series
I.
Series II.
Series III.
Selected compounds with potent anticancer
activities and high SI (values showed in Table S1) for further investigations. The most potent compounds are
shown in bold. NC, noncytotoxic. IC50 > 50 μg/mL
denoted as noncytotoxic; ND, not determined.
Cell lines included HuCCA-1 cholangiocarcinoma
cancer cell line, A549 lung carcinoma cell line, MOLT-3 lymphoblastic
leukemia cell line, HepG2 hepatocellular carcinoma cell line, MDA-MB-231
hormone-independent breast cancer cell line, T47D hormone-dependent
breast cancer cell line, and MRC-5 normal embryonic lung cell line.
Doxorubicin and etoposide were
used
as reference drugs.
Series
I.Series II.Series III.Selected compounds with potent anticancer
activities and high SI (values showed in Table S1) for further investigations. The most potent compounds are
shown in bold. NC, noncytotoxic. IC50 > 50 μg/mL
denoted as noncytotoxic; ND, not determined.Cell lines included HuCCA-1 cholangiocarcinoma
cancer cell line, A549 lung carcinoma cell line, MOLT-3 lymphoblastic
leukemia cell line, HepG2 hepatocellular carcinoma cell line, MDA-MB-231
hormone-independent breast cancer cell line, T47D hormone-dependent
breast cancer cell line, and MRC-5 normal embryonic lung cell line.Doxorubicin and etoposide were
used
as reference drugs.In overview,
six compounds (4, 8–9, and 12–14) exhibited anticancer effects on
all types of tested cancer cell lines (with varied potency), whereas
two compounds (5 and 18) were inactive.
However, all active compounds were less potent than the reference
drug, doxorubicin.Among 11 active compounds against the HuCCA-1
cell line, two compounds
(12 and 17) exhibited promising activity
with IC50 values of <10 μM. Compound 12 (R = OH of series I, IC50 = 8.21 μM) showed the
strongest activity followed by compound 17 (R = F of
series III, IC50 = 9.65 μM). However, both compounds
were approximately 7-fold less potent than the reference drug, doxorubicin
(IC50 = 1.17 μM).For the A549 cell line, most
of the compounds displayed weak activity
(IC50 values greater than 40 μM), except for compounds 13 and 12, which had the highest potency affording
IC50 values of 27.91 and 30.73 μM, respectively.For the MOLT-3 cell line, most compounds in series I (3–4, 7–10, and 12) and
series II (13–15) were active anticancer agents
with IC50 values of <10 μM, whereas all compounds
in series III (16–18) were inactive.
Enhanced cytotoxic effects were observed for the compounds in series
I with electron-withdrawing groups (i.e., R = nitro and cyano moieties)
as shown by the lower IC50 values (<3 μM). Promisingly,
cyano derivative 9 was the most potent compound among
all (IC50 = 1.75 μM). In contrast, the replacement
of the methyl (R) group in compound 3 with halogen and
OMe groups leads to analogues with lesser potencies (bromo derivative 5 was inactive, iodo derivative 6: IC50 = 42.58 μM, and OMe derivative 11 IC50 = 17.59 μM). Similar potency impairments were observed for
fluoro (compound 4), trifluoromethyl (compound 7), and hydroxyl (compound 12) derivatives but
with lesser degree. Notably, the anticancer effects were enhanced
when the chloro (X) group on the naphthoquinone core in series I (compounds 4 and 5) was replaced with X = bromo to provide
derivatives 14 and 15 (series II). This
suggested that the substituents (X = Cl, Br) on the naphthoquinone
core are essential for anticancer activity since the cytotoxic effect
was lost for the compounds without these substituents as observed
for inactive compounds of series III (16–18).For the HepG2 cell line, the most potent compound
was a bromo derivative
(X) of series II compound 15 (IC50 = 4.94
μM). It should be noted that the presence of a bromo (X) group
of 15 on the naphthoquinone core may be essential for
potent anticancer activity against HepG2. This effect was seen when
the absence of activity was observed for the inactive compound 5, which contains chloro group (X) with the same Br substituent
(R). A similar effect was noted when comparing two fluoro (R) derivatives
of series I and II (compound 4: IC50 = 131.89
μM and compound 14: IC50 = 19.07 μM).
Additionally, other active compounds in series II (13–14) and III (16–17) showed comparable activities
(19.07 μM < IC50 < 25.07 μM), whereas
those of series I, except for compound 12, showed lower
activity (IC50 > 73.37 μM). Unlike MOTL-3, it
was
suggested that the substitution of the chloro group on the naphthoquinone
core gave the compounds weak/inactive anticancer activity against
the HepG2 cell line.Considering the cytotoxic effects on breast
cancer cell lines,
the most promising compound against MDA-MB231 was compound 12 (R = OH of series I, IC50 = 4.77 μM) followed by
two compounds from series II (i.e., compounds 14 and 13 with IC50 = 7.54 and 9.48 μM, respectively).
In the case of T47D cells, the most potent agent was compound 13 (IC50 = 10.12 μM), followed by two compounds
of series I (compounds 9 and 8 with IC50 = 11.27 and 11.68 μM, respectively).Cytotoxicity
of all synthesized compounds (3–18) was investigated
against the normal embryonic lung (MRC-5) cell
line (Table ), and
their SIs were calculated (Table S1). Most
of the synthesized compounds (5–7, 11, 15–16, and 18) were noncytotoxic
against the normal cell line MRC-5; however, these compounds showed
relatively weak or inactive activities against most of the tested
cancer cell lines. Potent anticancer activities along with the SI
values were simultaneously used for selecting a set of compounds for
further studies. As a result, three compounds from series I (i.e.,
compounds 3, 8, and 10) with
promising anticancer activities and high SI values were selected for
further studies.
Drug-likeness Prediction
To ensure
the potential of
successful development, the drug-likeness of three selected compounds
(3, 8, and 10) along with the
known EGFR inhibitor, erlotinib, was predicted using in silico SwissADME web tool.[44] The investigated
properties include molecular weight (MW), number of hydrogen bond
donors and acceptors (HBD and HBA), number of rotatable bonds (RB),
topological polar surface area (TPSA), and lipophilicity (log P). It was found that the predicted values of all investigated
compounds (3, 8, and 10) were
within the range of the Lipinski’s rule of five criteria: (i)
MW ≤ 500 Da, (ii) HBD ≤ 5 and HBA ≤ 10, (iii)
RB ≤ 10, (iv) TPSA ≤ 140 Å2, and (v)
log P ≤ 5, as summarized in Table .[45] The findings suggested that these compounds are drug-like compounds,
which could likely be further developed as anticancer drugs.
Table 2
Predicted Values of Drug-likeness
Parameters According to Lipinski’s Rule of Five Criteria for
Compounds 3, 8, 10, and Erlotiniba
Lipinski’s
rule of five
compound
MW (≤500 Da)
HBD (≤5)
HBA (≤10)
RB (≤10)
TPSA (≤140 Å2)
log P (≤5)
drug-likeness
erlotinib
393.44
1
6
10
74.73
3.20
yes
3
297.74
1
2
2
46.17
3.40
yes
8
328.71
1
4
3
91.99
2.48
yes
10
328.71
1
4
5
91.99
2.49
yes
MW, molecular weight;
HBD, number
of hydrogen bond donors; HBA, number of hydrogen bond acceptors; RB,
number of rotatable bonds; TPSA, topological polar surface area; log P, lipophilicity.
MW, molecular weight;
HBD, number
of hydrogen bond donors; HBA, number of hydrogen bond acceptors; RB,
number of rotatable bonds; TPSA, topological polar surface area; log P, lipophilicity.
EGFR Inhibition
EGFR inhibitory activity of the selected
compounds (3, 8, and 10) was
evaluated using the ADP-Glo kinase assay. Results showed that the
investigated naphthoquinones inhibited EGFR activity in a concentration-dependent
manner affording IC50 values in the nanomolar range (Figure and Table ). Notably, the EGFR inhibitory
activity of 4-CH3 derivative 3 (IC50 = 3.96 nM) was 4 times higher than that of erlotinib (IC50 = 16.17 nM), whereas 4-NO2 compound 8 (IC50 = 11.42 nM) and 3-NO2 compound 10 (IC50 = 18.64 nM) were comparable to erlotinib. According
to the two most potent compounds 3 and 8, it was suggested that substitution by CH3 or NO2 group at the 4-position of the aniline ring attached to the
naphthoquinone core may be required for a highly potent EGFR inhibitory
effect. Notably, both compounds are more potent than the previously
reported shikonin derivative II (Figure , IC50 = 22.7 nM).[25] Moreover, the most potent compound 3 showed more promising activity than several classes of small molecules
reported as EGFR inhibitors, including 6,7-dimorpholinoalkoxy quinazoline
derivative (IC50 = 7.0 nM),[46] thiazole-based chalcone derivative (IC50 = 33.66 nM),[47] 1,2,4-triazole derivative (IC50 =
1500 nM),[48] vinyl sulfone derivative (IC50 = 7.85 nM),[49] aminopyrimidine
derivative bearing a 4,5,6,7-tetrahydrothieno [3,2-c]pyridine (IC50 = 6.4 nM),[50] sulfamoylphenyl-quinazoline
derivative (IC50 = 13.7 nM),[51] 4,6-pyrimidinediamine derivative (IC50 = 202 nM),[52] thiazolyl-pyrazoline derivative (IC50 = 4340 nM),[53] 6-(2-substituted acetamido)-4-anilinoquinazoline
derivative (IC50 = 32 nM),[54] and N4,N6-disubstituted pyrimidine-4,6-diamine derivative (IC50 = 26 nM).[55] Notably, the inhibitory
activity of compounds 3, 8, and 10 against L858R/T790M double mutant EGFR was very low (IC50 > 100 nM, Figure S1), indicating that
our synthesized naphthoquinones are specific toward the wild-type
form of EGFR.
Figure 2
EGFR tyrosine kinase inhibitory effects of 3, 8, 10, and erlotinib. Data are shown
as means
± SEM of three independent experiments.
Table 3
IC50 Values of Compounds 3, 8, 10, and Erlotinib against
EGFR Tyrosine Kinase
compound
IC50 (nM)a
3
3.96 ± 0.66
8
11.42 ± 0.35
10
18.64 ± 1.41
erlotinib
16.17 ± 1.54
Data are shown
as means ± SEM
of three independent experiments (n = 3).
EGFR tyrosine kinase inhibitory effects of 3, 8, 10, and erlotinib. Data are shown
as means
± SEM of three independent experiments.Data are shown
as means ± SEM
of three independent experiments (n = 3).It should also be noted that although
many naphthoquinone-based
compounds were proposed to inhibit EGFR activity via inhibition of EGFR-mediated signaling pathways,[24,26−29] the mechanism underlying the inhibitory effect on the EGFR protein
has still not been fully explored in vitro. Thus,
this is the first study to shed light on the potentiality of anilino-1,4-naphthoquinone
derivatives as promising EGFR tyrosine kinase inhibitors.
Computational
Studies
Molecular Docking
Molecular docking was performed to
reveal the possible binding modes of compounds 3, 8, and 10 against the EGFR tyrosine kinase (PDB
ID: 1M17).[56] Results showed that all naphthoquinones could
accommodate within the adenosine triphosphate (ATP)-binding pocket
of EGFR in the same manner as erlotinib, a co-crystallized ligand
(Figure ). The naphthoquinone
core of all compounds (3, 8, and 10) was positioned near the hinge region domain (red)[56] to mimic the quinaxoline ring of erlotinib, whereas their
phenyl ring of all naphthoquinones pointed toward the Cα-helix
domain (green) of the EGFR (Figure ).
Figure 3
Alignment of docked compounds 3 (black), 8 (cyan), and 10 (orange) inside the ATP-binding
pocket
of the EGFR tyrosine kinase domain. The binding orientation of crystallized
erlotinib (gray) was used as the reference.
Alignment of docked compounds 3 (black), 8 (cyan), and 10 (orange) inside the ATP-binding
pocket
of the EGFR tyrosine kinase domain. The binding orientation of crystallized
erlotinib (gray) was used as the reference.The 2D protein–ligand interaction diagrams were generated
for an in-depth understanding of ligand–protein interactions
(Figure ). It was
revealed that compound 3 could form similar interactions
as erlotinib. The key interactions included (i) the formation of H-bonding
between its carbonyl group and M793 residue at the hinge region[57] and (ii) the formation of alkyl interactions
between its 4-CH3 moiety and K745/M766/L788 residues (Figure A, pink) to mimic
the terminal alkyne group of erlotinib (Figure D). It was also observed that the 4-CH3 substituted aromatic ring of compound 3 played
essential roles in the formations of additional interactions with
the target protein, which could be a reason of its higher potency
than the reference inhibitor, erlotinib (Table ). These additional interactions were noted
as (i) π–sulfur interaction with M766, (ii) π–lone
pair interaction with T790, and (iii) alkyl interaction with A743.
For both nitro compounds 8 and 10, the nitro
phenyl groups formed H-bond and electrostatic interactions with the
polar K745, E762, and T790 residues.
Figure 4
Two-dimensional ligand–protein
interactions of three investigated
naphthoquinones in complex with EGFR. (A) Most potent compound 3, (B) compound 8, (C) compound 10, and (D) co-crystallized ligand, erlotinib.
Two-dimensional ligand–protein
interactions of three investigated
naphthoquinones in complex with EGFR. (A) Most potent compound 3, (B) compound 8, (C) compound 10, and (D) co-crystallized ligand, erlotinib.In overview, the results showed that all focused compounds (3, 8, and 10) could occupy the ATP-binding
pocket of EGFR via the formations of van der Waals
(vdW) force, H-bonding, π–π interaction, alkyl
interaction, and attractive charge. Among these interactions, the
vdW force seems to be the major force for protein–ligand complexation.
It was shown that all compounds (3, 8, and 10) could form vdW interactions with residues similar to those
formed with erlotinib. These key binding residues were also reported
as key binding residues for many classes of small-molecule EGFR inhibitors
such as vinyl sulfones,[49] thiazoles,[47] thiophenes,[57] chalcones,[58] and 6-arylureido-4-anilinoquinazolines.[7]Based on the EGFR inhibitory activity (Table ), only the most potent
compound 3 was selected for further investigation on
its atomistic binding
mechanism against the EGFR tyrosine kinase in an aqueous environment
using MD simulation and free energy calculation.
MD Simulation
and Free Energy Calculation
System Stability
The stability and
dynamic behavior
along the simulation times of the most potent compound 3 in complex with the EGFR tyrosine kinase domain were determined
using root-mean-square displacement (RMSD), number of atomic contacts
(#contacts), and radius of gyration (Rg) calculations. Results showed that the RMSD values of the EGFR/3 complex were slightly fluctuated at the first 20 ns, which
was supported by the adaptation of atomic contacts within the 5 Å
sphere of compound 3 during this period, and then reached
the equilibrium state after 20 ns with an average RMSD value of ∼3
Å (Figure ).
In the case of ligand 3, the RMSD values were increased
at the first 5 ns and then were persistent with an average RMSD value
of ∼1.5 Å until the last stage of MD simulation. According
to the Rg calculation, the compactness
of the EGFR tyrosine kinase domain was found to relatively remain
constant at ∼20–21 Å from the beginning till the
end of the simulation, reflecting the stable closed conformation of
the EGFR/3 complex (Figure ). Altogether, the results indicated that
the molecular complexation between compound 3 and EGFR
was highly stable in an aqueous environment.
Figure 5
Time evolution of RMSD
(top), #contacts (middle), and Rg (bottom)
of compound 3 in complex with
the EGFR tyrosine kinase domain.
Figure 6
Superimposition
between the docked structure and the final MD structure
of compound 3 in complex with the EGFR tyrosine kinase
domain.
Time evolution of RMSD
(top), #contacts (middle), and Rg (bottom)
of compound 3 in complex with
the EGFR tyrosine kinase domain.Superimposition
between the docked structure and the final MD structure
of compound 3 in complex with the EGFR tyrosine kinase
domain.
Binding Hotspot
To investigate the key interacting
amino acid residues upon the binding of compound 3 to
the target EGFR, the per-residue decomposition free energy (ΔGbind,residue) based on the molecular mechanics/generalized
Born surface area (MM/GBSA) method was calculated using 100 snapshots
taken from the last 20 ns of the MD simulation. Among residues 696–987,
only residues 700–870 are shown in Figure , where the binding orientation of compound 3 inside the ATP-binding pocket of EGFR tyrosine kinase is
illustrated in the right panel. The contributing amino acids and vdW
contributions are colored according to their ΔGbind,residue and energy contribution values, respectively.
Notably, only the residues exhibiting an energy stabilization value
of ≤−0.5 kcal/mol were considered.
Figure 7
Left panel: (A) ΔGbind,residue and (B) energy contribution of
compound 3 in complex
with the EGFR tyrosine kinase domain. Right panel: Representative
3D structures showing the orientation of ligand 3 in
the ATP-binding site drawn from the last MD snapshot. The contributing
residues and vdW contributions are colored according to their ΔGbind,residue and energy contribution values,
respectively.
Left panel: (A) ΔGbind,residue and (B) energy contribution of
compound 3 in complex
with the EGFR tyrosine kinase domain. Right panel: Representative
3D structures showing the orientation of ligand 3 in
the ATP-binding site drawn from the last MD snapshot. The contributing
residues and vdW contributions are colored according to their ΔGbind,residue and energy contribution values,
respectively.Results revealed that six residues
(i.e., L718, V726, A743, K745,
G796, and L844) were associated with the binding interactions of compound 3 and the EGFR (Figure A). It should be noted that these residues, except G796, along
with M793 were previously characterized as the top five contact frequencies
forming a core hydrophobic binding pocket, which was noted for the
accommodation of the adenine base of ATP or the ATP-competitive inhibitors.[59] Among all, L718 exhibited the highest vdW contribution
to the binding of compound 3 (Figure B). The L718 residue, located within the
p-loop of the EGFR, was reported to play key roles in ligand–protein
binding of many small-molecule EGFR inhibitors. Its mutations (e.g.,
L718A and L718Q) were also noted to contribute to drug resistance.[60−62] Overall, the main energy contribution for protein–ligand
complexation was derived from vdW forces rather than electrostatic
attraction, which is similar to that of other reported EGFR tyrosine
kinase inhibitors, including erlotinib, gefitinib, lapatinib,[63] vinyl sulfones,[49] thiazoles,[47] thiophenes,[57] chalcones,[58] and 6-arylureido-4-anilinoquinazolines.[7]
Conclusions
A
set of 16 anilino-1,4-naphthoquinone analogues (3–18) was successfully synthesized and investigated for their anticancer
activities against six human cancer cell lines (i.e., HuCCA-1, HepG2,
A549, MOLT-3, MDA-MB-231, and T47D). Among all, three compounds with
chloro substitution on the naphthoquinone core (series I: compounds 3, 8, and 10) exhibited the most
promising anticancer effects on various types of tested cancer cell
lines (IC50 values = 1.75–27.91 μM), as well
as showed high SI. Results from in silico drug-likeness
predictions also suggested their possibilities for future successful
development. The in vitro EGFR inhibitory study indicated
that the selected compounds (3, 8, and 10) are active EGFR inhibitors affording the IC50 values in the nanomolar range (3.96–18.64 nM). Notably, compound 3 was the most promising compound with 4-fold more potent
inhibitory effect than the known EGFR inhibitor, erlotinib. Molecular
docking revealed that the most promising compound 3 could
occupy the ATP-binding pocket of the target protein EGFR in a similar
manner as erlotinib. MD simulation and MM/GBSA-based free energy calculation
showed that the molecular protein–ligand complexation was mainly
driven by vdW forces and was highly stable in an aqueous environment.
Additionally, the key amino acid residues associated with compound–target
binding were revealed, including L718, V726, A743, K745, G796, and
L844 residues. In summary, this study demonstrated the comprehensive
utilization of chemical synthesis, in vitro, and insilico approaches for the discovery
of new 1,4-naphthoquinone-based EGFR inhibitors for potential development
as anticancer drugs. The key findings regarding key chemical structural
features and key protein residues participating in the ligand–target
bindings would also be beneficial for the future discovery and design
of the compounds in related classes as small-molecule EGFR inhibitors.
Experimental
Section
Column chromatography was carried out using
silica gel 60 (70–230 mesh ASTM). Analytical thin-layer chromatography
(TLC) was performed on silica gel 60 F254 aluminum sheets. 1H- and 13C NMR spectra were recorded on a Bruker
AVANCE 300 NMR spectrometer or a Bruker AVANCE NEO 500 NMR spectrometer.
Fourier-transform infrared spectra were obtained using universal attenuated
total reflectance attached on a PerkinElmer Spectrum One spectrometer.
HRMS data were recorded on a Bruker Daltonics (microTOF) instrument.
Melting points were determined using a Griffin melting point apparatus
and were uncorrected.
General Procedure for the Synthesis of Naphthoquinones
(3–21)
A mixture of 1,4-naphthoquinone 1 (2.4 mmol) and the appropriate aniline derivative 2 (2.0 mmol) in absolute ethanol (20 mL) was stirred under
reflux until completion of the reaction, as monitored by TLC, and
then concentrated under reduced pressure. The crude product was purified
using silica gel column chromatography to afford the pure product.
Cells suspended
in the corresponding
culture medium were inoculated in 96-well microtiter plates (Corning
Inc., NY, USA) at a density of 10,000–20,000 cells per well
and incubated for 24 h at 37 °C in a humidified atmosphere with
95% air and 5% CO2. An equal volume of additional medium
containing either serial dilutions of the test compounds, positive
control (etoposide and/or doxorubicin), or negative control dimethyl
sulfoxide (DMSO) was added to the desired final concentrations, and
the microtiter plates were incubated for an additional 48 h. The number
of surviving cells in each well was determined using the MTT assay[73,74] (for HuCCA-1, HepG2, A549, MDA-MB-231, T47D, and MRC-5 cells) and
the XTT assay (for MOLT-3 cells). The IC50 value is defined
as the drug (or compound) concentration that inhibits cell growth
by 50% (relative to negative control). The compounds exhibiting IC50 >50 μg/mL were considered as noncytotoxic.
Drug-likeness
Prediction
Drug-likeness of potent naphthoquinones
as well as erlotinib, the known EGFR inhibitor, was evaluated using
the SwissADME web tool.[44]
ADP-Glo Kinase
Assay
The EGFR kinase inhibition activity
of the target compounds was evaluated using the ADP-Glo kinase assay
(Promega, Wisconsin, USA). First, 8 μL of buffer (40 mM Tris-HCl
pH 7.5, 20 mM MgCl2, and 0.1 mg/mL bovine serum albumin)
was added to a 384-well plate. Second, 5 μL of either wild-type
EGFR or L858R/T790M mutant EGFR (1.25 ng/μL, Sigma-Aldrich)
and 2 μL of inhibitors were added, followed by 10 μL of
a mixture of 25 μM ATP and 12.5 μg/mL poly(glu-tyr), and
incubated for 1 h at room temperature. Third, 5 μL of the ADP-Glo
reagent was added and incubated for 40 min to terminate the kinase
reaction. Finally, 10 μL of kinase detection reagent was added
and incubated at room temperature for 30 min. The luminescence was
detected using a microplate reader (Infinite M200 microplate reader,
Tecan, Männedorf, Switzerland). All assays were performed in
triplicate. The relative inhibition (%) of inhibitors was calculated
in comparison to the control with no inhibitor as shown in eq .
Computational Studies
System Preparation
The crystal structure of EGFR complexed
with erlotinib (PDB ID: 1M17)[56] was downloaded from
Protein Data Bank (PDB). The protonation state of all ionizable amino
acids was determined at pH 7.0 using PROPKA 3.0.[75] The 3D structures of 3, 8, and 10 were created and fully optimized using the Gaussian 09
program[76] with the HF/6–31d basis
set.[47,77,78] The protonation
state of all studied ligands was determined at pH 7.0 using MarvinSketch
program.[79] The site of erlotinib in the
EGFR crystal structure was defined as the docking sphere (15 Å)
for molecular docking analysis using the CDOCKER module[80] implemented in Discovery Studio 2.5 program.
The binding mode between EGFR and inhibitor(s) was visualized using
the Discovery Studio Visualizer. The docked complexes with the lowest
CDOCKER interaction energy of each system were chosen as the initial
structure for MD simulation. The electrostatic potential (ESP) charges
were calculated with the HF/6-31d basis set and then converted to
restrained ESP charges using the antechamber module of AMBER20. The
AMBER ff14SB[81] and the general AMBER force
field version 2 (GAFF2)[82,83] force fields were applied
for protein and ligand(s), respectively. All missing hydrogen atoms
of the protein were added using the LEaP module. Then, each system
was neutralized by the chloride ions and solvated using the TIP3P
water model.[84] The added hydrogen atoms
and water molecules were subsequently minimized using 1000 steps of
the steepest descent followed by 2500 steps of conjugated gradient
methods. Finally, the whole system was minimized using the same minimization
process.
MD Simulation and Free-Energy Calculation
The MD simulations
were carried out by a time step of 2 fs using AMBER20 program. The
short-range cutoff for nonbonded interactions was set as 10 Å,
while the particle mesh Ewald summation approach was applied to treat
long-range electrostatic interactions.[85,86] Temperature
and pressure were controlled by a Langevin thermostat and the Berendsen
weak coupling algorithm, respectively. The SHAKE algorithm was used
to constrain all covalent bonds involving hydrogen atoms.[87] In the relaxation phase, all of the models were
gradually heated up from 10 to 310 K for 100 ps with the application
of a harmonic restraint of 30.0 kcal/mol Å2 to the
EGFR–ligand complex. In the next equilibrium phase, each complex
was subjected to restrained MD simulations at 310 K with the harmonic
restraint of 30, 20, 10, 5, and 2.5 kcal/mol Å2 for
500 ps in total, followed by unrestrained MD at 310 K for 500 ps.
Subsequently, MD simulations were performed under the NPT ensemble (310 K and 1 atm) until reaching 100 ns. The CPPTRAJ module[88] of AMBER20 was used to compute the structural
information, including RMSD, #contacts, and Rg. The ΔGbind,residue was
calculated using the MM/GBSA method on 100 MD snapshots extracted
from the last 20 ns of the MD production phase.
Authors: Bilal Bin Hafeez; Mohammad Sarwar Jamal; Joseph W Fischer; Ala Mustafa; Ajit Kumar Verma Journal: Int J Cancer Date: 2012-03-20 Impact factor: 7.396
Authors: Thachapully D Suja; K V L Divya; Lakshma V Naik; A Ravi Kumar; Ahmed Kamal Journal: Bioorg Med Chem Lett Date: 2016-02-26 Impact factor: 2.823
Authors: Eduardo J S Salustiano; Chaquip D Netto; Renata F Fernandes; Alcides J M da Silva; Thiago S Bacelar; Carolina P Castro; Camilla D Buarque; Raquel C Maia; Vivian M Rumjanek; Paulo R R Costa Journal: Invest New Drugs Date: 2009-03-04 Impact factor: 3.850