Mai A Elhemely1,2, Asma A Belgath1, Sherihan El-Sayed1,3, Kepa K Burusco1, Manikandan Kadirvel1, Annalisa Tirella1,4, Katherine Finegan1, Richard A Bryce1, Ian J Stratford1, Sally Freeman1. 1. Division of Pharmacy & Optometry, School of Health Sciences, Faculty of Biology, Medicine & Health, University of Manchester, Manchester M13 9PT, U.K. 2. Department of Pharmacology and Toxicology, Faculty of Pharmacy, Beni-Suef University, Beni-Suef 62514, Egypt. 3. Department of Medicinal Chemistry, Faculty of Pharmacy, Zagazig University, Zagazig 44519, Egypt. 4. BIOtech Center for Biomedical Technologies, Department of Industrial Engineering, University of Trento, Via delle Regole 101, Trento 38123, Italy.
Abstract
A set of meta-substituted 3-arylisoquinolinones have been identified that show substantial cytotoxicity in breast, liver, lung and colon cancer cell lines; these are up to 700-fold more active than the corresponding para analogues. These compounds were initially proposed as inhibitors of N-ribosyl dihydronicotinamide (NRH): quinone oxidoreductase 2 (NQO2) but were found to be inactive against the enzyme. Instead, COMPARE analysis suggested that 6-fluoro-3-(meta-fluorophenyl)isoquinolin-1(2H)-one (4) could mimic colchicine and interact with microtubules, a recognized target for cancer therapy. Subsequent docking, molecular dynamics simulations, and free energy analysis further suggested that compound 4 bound well into the colchicine-binding pocket of tubulin. Indeed, 4 suppressed tubulin polymerization, caused G2/M cell cycle arrest, and induced apoptosis. Also, 4 inhibited the formation of endothelial cell capillary-like tubes and further disrupted the structure of preestablished tubes; the effects were not observed with para analogue 5. In accordance with this, the computed free energy of binding of 5 to tubulin was lower in magnitude than that for 4 and appeared to arise in part from the inability of the para substituent to occupy a tubulin subpocket, which is possible in the meta orientation. In conclusion, the antiproliferative potential of the novel 3-arylisoquinolinones is markedly influenced by a subtle change in the structure (meta versus para). The meta-substituted isoquinolinone 4 is a microtubule-destabilizing agent with potential tumor-selectivity and antiangiogenic and vascular disrupting features.
A set of meta-substituted 3-arylisoquinolinones have been identified that show substantial cytotoxicity in breast, liver, lung and colon cancer cell lines; these are up to 700-fold more active than the corresponding para analogues. These compounds were initially proposed as inhibitors of N-ribosyl dihydronicotinamide (NRH): quinone oxidoreductase 2 (NQO2) but were found to be inactive against the enzyme. Instead, COMPARE analysis suggested that 6-fluoro-3-(meta-fluorophenyl)isoquinolin-1(2H)-one (4) could mimic colchicine and interact with microtubules, a recognized target for cancer therapy. Subsequent docking, molecular dynamics simulations, and free energy analysis further suggested that compound 4 bound well into the colchicine-binding pocket of tubulin. Indeed, 4 suppressed tubulin polymerization, caused G2/M cell cycle arrest, and induced apoptosis. Also, 4 inhibited the formation of endothelial cell capillary-like tubes and further disrupted the structure of preestablished tubes; the effects were not observed with para analogue 5. In accordance with this, the computed free energy of binding of 5 to tubulin was lower in magnitude than that for 4 and appeared to arise in part from the inability of the para substituent to occupy a tubulin subpocket, which is possible in the meta orientation. In conclusion, the antiproliferative potential of the novel 3-arylisoquinolinones is markedly influenced by a subtle change in the structure (meta versus para). The meta-substituted isoquinolinone 4 is a microtubule-destabilizing agent with potential tumor-selectivity and antiangiogenic and vascular disrupting features.
N-Ribosyl
dihydronicotinamide (NRH): quinone oxidoreductase
2 (NQO2) is a cytosolic flavoprotein that catalyzes two-electron reduction
of numerous quinones into hydroquinones, thereby deterring the production
of one-electron reduced semiquinone radicals identified to trigger
oxidative stress.[1] Besides its presence
in several normal tissues,[2] NQO2 is overexpressed
in different solid tumors such as colon, liver, lung, and breast cancers.[3] There is evidence that NQO2 plays a protective
role against cancer initiation; NQO2 downregulation in mice has been
found to enhance the development of myeloid hyperplasia of bone marrow
and the carcinogen-induction of skin cancer.[4,5] In
addition, genetic silencing of NQO2 in cancer cells has been associated
with a reduction in the activity of the oncogenic NF-κB, thereby
contributing against cancer progression.[6] Further, it has been demonstrated that genetic or pharmacologic
inhibition of NQO2 reduces cell proliferation in triple-negative breast
and prostate cancer cell lines.[7,8] Collectively, these
results strongly suggest NQO2 to be a potential cancer therapeutic
target.For these reasons, we and others have sought to develop
pharmacologically
acceptable inhibitors of NQO2.[6,9−13] The synthesis and biological evaluation of a series of 3-arylisoquinolinones
are reported here. The rationale for choosing this series was based
on their structural similarity to resveratrol 1 (Figure ), which is the best-known
inhibitor of NQO2.[14] However, resveratrol
is rapidly and extensively metabolized through both hepatic 3-O-glucuronidation and 3-O-sulfation of
its phenolic groups and intestinal reductive metabolism of the stilbene
bond resulting in poor oral bioavailability.[15,16] In an attempt to overcome these problems, resveratrol’s phenolic
groups were replaced with hydrogen (−H), methoxy (−OMe),
or fluoro (−F) substituents, and the stilbene bond was incorporated
into an isoquinolinone moiety to ultimately give our novel 3-arylisoquinolinones 2–8 (Figure ). Structurally, the compounds can be classified
into two main groups depending on the position of −OMe or −F
substituents on the aryl ring: the meta compounds
(2, 4, 6) and the para compounds (3, 5, 7, 8).
Figure 1
3-Arylisoquinolinones 2–8 as analogues of resveratrol 1.
Angle χ is defined by atoms N2–C3–C1–C2.
3-Arylisoquinolinones 2–8 as analogues of resveratrol 1.
Angle χ is defined by atoms N2–C3–C1–C2.Interestingly, isoquinolinones have been reported to exert antiproliferative
activity against lung, ovarian, breast, colorectal, and melanoma cancer
cell lines.[17−19] Thus, in the present study, the newly synthesized
3-arylisoquinolinones 2–8 were evaluated
for NQO2 inhibitory activity, as well as determining their antiproliferative
activity in a range of cancer cell lines. Finally, the underpinning
mechanism of action by which these compounds exert their cytotoxicity
was elucidated.
Results and Discussion
Chemistry
The
synthesis of seven differently substituted
3-arylisoquinolinones 2–8 was carried
out using the method developed by Khadka and co-workers (Scheme ).[20] 4-Fluoro-2-methylbenzoic acid 9 or 5-fluoro-2-methylbenzoic
acid 10 was reacted with thionyl chloride and diethylamine
to form the amide intermediates 13 and 14. Then, the amides reacted with the appropriate benzonitriles (15–18) in the presence of n-BuLi or lithium
diisopropylamide (LDA), producing the desired 3-arylisoquinolinones 2–8. The compounds were characterized
by 1H, 13C, and 19F NMR spectroscopy
(Figures S1–S21).
Scheme 1
Synthesis of 3-Arylisoquinolinones
2–8
Reagents and conditions: (i)
SOCl2, reflux, 45 °C; (ii) Et2NH, CH2Cl2, 0 °C; (iii) n-BuLi/LDA,
dry THF, −78 °C.
Synthesis of 3-Arylisoquinolinones
2–8
Reagents and conditions: (i)
SOCl2, reflux, 45 °C; (ii) Et2NH, CH2Cl2, 0 °C; (iii) n-BuLi/LDA,
dry THF, −78 °C.
Inhibition of NQO2 Activity
3-Arylisoquinolinones 2–8 were
examined for their abilities
to inhibit the enzyme activity of human recombinant NQO2, with resveratrol
as a positive control (IC50 1.0 μM). All of the 3-arylisoquinolinones
were inactive against NQO2 at concentrations up to 100 μM.
Inhibition of Cancer Cell Proliferation
Initially,
the human breast cancer cell line MCF-7 was used in a prescreen analysis
of the anticancer activity of 3-arylisoquinolinones. The cells were
treated with serial concentrations of compounds 2–8 for 96 h prior to the assessment of proliferation using
the sulforhodamine B (SRB) assay. For each compound, the concentration
required to inhibit cell growth by 50% compared to that of the untreated
control cells (IC50) was determined (Table ). Compounds with −OCH3 or −F substituents on the meta position
of the aryl ring (2, 4, 6)
showed significant growth inhibition with IC50 values of
0.4–0.8 μM, compared to the corresponding compounds with para substituents (3, 5, 7, 8), which showed IC50 values above
50 μM.
Table 1
IC50 Values (μM,
Mean ± SEM) of 3-Arylisoquinolinones Following 96 h Treatment
of Several Cancer Cell Linesa
cpd.
R
R′
MCF-7 (prescreen)
MDA-MB-231
HepG2
SNU423
A549
HCT116
2
6-F
m-OMe
0.75 ± 0.13
0.17 ± 0.01
3.12 ± 0.34
0.41 ± 0.03
0.37 ± 0.01
0.22 ± 0.02
3
6-F
p-OMe
>50
>50
>50
>50
>50
>50
4
6-F
m-F
0.41 ± 0.09
0.07 ± 0.002
1.44 ± 0.21
0.25 ± 0.03
0.27 ± 0.06
0.13 ± 0.03
5
6-F
p-F
>50
>50
>50
>50
>50
>50
6
7-F
m-OMe
0.68 ± 0.13
0.21 ± 0.05
3.03 ± 0.61
0.60 ± 0.06
0.38 ± 0.02
0.19 ± 0.01
7
7-F
p-OMe
>50
8
7-F
p-F
>50
IC50 values were derived from dose–response
curves of at least three independent experiments using the SRB assay.
IC50 values were derived from dose–response
curves of at least three independent experiments using the SRB assay.In light of this substantial
change in activity between the meta and para compounds, a more comprehensive
analysis of the antiproliferative activity was performed for the meta-/para-3-arylisoquinolinone pairs 2 and 3, 4, and 5,
as well as 6. A panel of breast (MDA-MB-231), liver (HepG2,
SNU423), lung (A549), and colon (HCT116) cancer cell lines were treated
with the five 3-arylisoquinolinone analogs for 96 h followed by the
SRB assay. The dose–response curves (including those for MCF-7)
are presented in Figure S22, and their
relevant IC50 values are listed in Table . Interestingly, the results from the five
cell lines confirm the prescreen and show the meta-substituted compounds to have greater growth-inhibitory activity
than their para-substituted analogues, with a difference
up to 700-fold in IC50 values. The differential activity
between meta- and para-3-arylisoquinolinones
was reproduced in the National Cancer Institute (NCI) one-dose screen
using a panel of 59 cancer cell lines (Figure S23). This screen showed that the meta compound 4 was far more potent in the inhibition of growth of many
of the cell lines, compared to the less active para analog 5 or 7.There was no significant
difference between the IC50 values of 2 (6-F, m-OMe) and 6 (7-F, m-OMe)
across the cell lines, suggesting
that the position of fluorine on the primary isoquinolinone ring is
not a limiting factor for determining the antiproliferative activity
of the meta compounds. In comparison to compounds 2 and 6, the growth-inhibitory activity of 4 was significantly greater in HepG2 (p =
0.04) and SNU423 (p = 0.0007) cells. Additionally,
the IC50 value of 4 was markedly lower than
that of 2 in HCT116 and 6 in MDA-MB-231
cells (p = 0.02).The clonogenic assay was
then employed to confirm the differential
activity between the meta and para 3-arylisoquinolinones and to assess whether the meta compounds possessed a cytotoxic effect. HepG2 cells were treated
with varying concentrations of 2–6 added once
and kept for 14 days before counting colonies and calculating surviving
fraction (Figure ).
No colonies were apparent when cells were treated with either 0.5
or 1 μM of 2, 4, or 6. In contrast,
for 3 or 5, at concentrations as high as
20 μM, the surviving fraction was only reduced to 0.5. This
clearly demonstrates that the meta-substituted compounds
are far more cytotoxic than their para analogues,
in agreement with the SRB findings.
Figure 2
Clonogenic survival of HepG2 cells following
prolonged treatment
with 3-arylisoquinolinones. HepG2 cells (1000/well) in six-well plates
were treated with DMSO or different concentrations of compounds 2–6 for 14 days. Colonies were then fixed, stained,
counted, and used for calculating surviving fractions. Graph points
on survival curves represent mean ± SEM from three independent
experiments.
Clonogenic survival of HepG2 cells following
prolonged treatment
with 3-arylisoquinolinones. HepG2 cells (1000/well) in six-well plates
were treated with DMSO or different concentrations of compounds 2–6 for 14 days. Colonies were then fixed, stained,
counted, and used for calculating surviving fractions. Graph points
on survival curves represent mean ± SEM from three independent
experiments.In the preceding experiments,
the cells were continuously exposed
to the compounds prior to scoring for the antiproliferative/cytotoxic
effects. To determine whether the potency of the meta analogues could be maintained following short drug exposures, the
six cancer cell lines were treated with 2, 4, and 6 for 24 h followed by a 72 h compound-free incubation
period, and determined the antiproliferative effect using the SRB
assay. The meta compounds were also examined for
the presence of differential antiproliferative activity against cancer
cells over the normal liver cell line THLE-3. As shown in Table , the IC50 values of the meta compounds after 24 h+drug/72–drug treatment were in the low micromolar range
and comparable to those following continuous 96 h treatment (Table ). Moreover, the sensitivity
of the six cancer cell lines toward compounds 2, 4, and 6 was markedly greater than that of THLE-3
cells. These results suggest that the meta compounds
could selectively target tumor cells while being sparing to healthy,
noncancerous cells.
Table 2
IC50 Values
of meta-Substituted 3-Arylisoquinolinones (2, 4, 6) Following 24 h+drug/72 h–drug Treatment
of Six Cancer Cell Lines and One Normal Cell Line (THLE-3)a
mean IC50 ± SEM (μM)
cell lines
cpd. 2
cpd. 4
cpd. 6
MCF-7
1.43 ± 0.30
0.50 ± 0.01
1.60 ± 0.40
MDA-MB-231
0.19 ± 0.04
0.09 ± 0.01
0.22 ± 0.02
HepG2
2.33 ± 0.22
0.86 ± 0.06
1.40 ± 0.06
SNU423
0.58 ± 0.04
0.36 ± 0.01
0.68 ± 0.09
A549
0.83 ± 0.17
0.44 ± 0.08
0.47 ± 0.03
HCT116
0.20 ± 0.01
0.13 ± 0.01
0.21 ± 0.01
THLE-3
>25
>25
>25
IC50 values
were obtained from dose–response
curves of three independent experiments using SRB assay.
IC50 values
were obtained from dose–response
curves of three independent experiments using SRB assay.
Identification of the Potential Cellular
Target with COMPARE
Analysis
The greatest growth-inhibitory activity has been
shown here to be elicited by the meta-substituted
3-arylisoquinolinone 4 with submicromolar IC50 values against several cancer cell types, the lowest being 70 nM.
To gain insight into the potential molecular mechanism corresponding
to the cytotoxic effect of 4, an NCI COMPARE analysis
was carried out, where the NCI five-dose cell growth data of 4 (see Figure S24) were compared
against NCI databases (Standard and Synthetic). COMPARE algorithm
uses Pearson correlation coefficients to correlate and rank the compared
compounds from the NCI databases to the seed compound 4 (NCS number 795055).[21] Compare solutions
(CS) with a correlation coefficient greater than 0.8 indicate a strong
correlation, suggesting that the seed compound may have a mechanism
of action similar to that of the highly correlated compounds.[22,23]Compound 4 was compared with the NCI Standard
Database containing 171 drugs in clinical use with known mechanisms
of action. The solutions for the top 5 compounds are given in Table S1. In this analysis, the correlation coefficient
for the top-ranked solution was only 0.583, which is far below the
minimum acceptable value to predict the mechanism of action. When
COMPARE was made with the NCI Synthetic Database (∼40,000 compounds
with known and unknown mechanisms of action), the solutions for the
top 13 compounds gave correlation coefficients ranging from 0.772
to 0.821 (Table ).
The chemical structures of these 13 compounds along with 4 are given in Figure . Seven of these compounds were identified to bind to tubulin, hence
acting as microtubule-targeting agents (MTAs). Further, the top match
is 1,5-diaryl-1H-imidazole (CS1, S736359), which interestingly has meta-F, and the fifth
match is another imidazole derivative (CS5, S736992)
but without a −F substituent. Both matches have been reported
to bind to the colchicine site of tubulin and possess vascular disrupting
activity.[24,25] Notably, the results of COMPARE analysis
of the NCI Standard Database revealed that two of the top five compounds
are also MTAs. Consequently, 4 was predicted to target
microtubules, and the molecular modeling and experiments outlined
below were designed to examine this prediction.
Table 3
COMPARE Analysis
Results for Compound 4 (S795055, Five-Dose Data) against
the Synthetic NCI Database
(Top 13 Results)
compare solution
NSC number
mechanism of action
correlation coefficient
references
CS1
S736359
binding to the colchicine site of tubulin and vascular disruption
0.821
(24, 25)
CS2
S710527
transcription factor NF-kB
0.810
patent: WO2007118149A2
CS3
S667261
inhibition of peroxisome proliferator-activated
receptors (PPAR)
0.800
patent: WO2013072390A2
CS4
S29018
unknown
0.798
CS5
S736992
binding to the
colchicine site of tubulin and vascular disruption
0.796
(24, 25)
CS6
S679035
inhibition
of tubulin polymerization
0.782
(26)
CS7
S736993
binding to the
colchicine site of tubulin
0.778
(24)
CS8
S754111
inhibition of
tumor proliferation without a defined mechanism
0.778
(27)
CS9
S766470
unknown
0.777
CS10
S701657
inhibition of tubulin polymerization
0.775
(28)
CS11
S158388
inhibition of tubulin polymerization
0.775
(29)
CS12
S640080
unknown
0.774
CS13
S754093
inhibition of tubulin polymerization
0.772
(30)
Figure 3
Chemical structures of
the top 13 compounds from COMPARE analysis
of seed compound 4 (S795055) against the Synthetic NCI
Database.
Chemical structures of
the top 13 compounds from COMPARE analysis
of seed compound 4 (S795055) against the Synthetic NCI
Database.
Molecular Modeling
The ability of compounds 2–8 to
interact with the colchicine-binding site
of tubulin was assessed using computational docking using the FRED
docking software and the Chemgauss4 scoring function (OpenEye Scientific
Software, Inc.). The top-ranked poses of all compounds docked with
the substituted phenyl group occupying the region of the active site
where the 1,2,3-trimethoxyphenyl ring of colchicine locates crystallographically
(Figure A,B). The
exception was meta-OMe 3-aryl compound 6, which adopted a flipped orientation in its top-ranked pose, where
the isoquinolinone ring occupies this region; this pose has a Chemgauss4
score of −11.1 (Figure C), with a lower-ranked pose similar to that of the other
compounds scoring −9.9.
Figure 4
(A) Crystallographic pose of colchicine
(cyan) in tubulin binding
pocket, shown as a surface, indicating polar (purple) and nonpolar
(green) regions; docked pose (dark purple) of (B) 4,
(C) 6 in its flipped orientation, and (D) 5. MD-refined pose (orange) of (E) compound md1 and (F)
compound md4, based on simulation of 4.
Subpocket is marked S.
(A) Crystallographic pose of colchicine
(cyan) in tubulin binding
pocket, shown as a surface, indicating polar (purple) and nonpolar
(green) regions; docked pose (dark purple) of (B) 4,
(C) 6 in its flipped orientation, and (D) 5. MD-refined pose (orange) of (E) compound md1 and (F)
compound md4, based on simulation of 4.
Subpocket is marked S.For the commonly favored
pose of 2–8, the substituted phenyl
ring of the ligand forms CH−π
interactions with the Leu248 and Leu255 residues of the active site.
For meta-substituted compounds such as 4, the meta substituent was predicted to occupy a
subpocket region formed by residues Leu242, Leu252, and Leu255 (marked
S in Figure B) and
filled by the methoxy group of colchicine in the X-ray structure (Figure A). However, the para orientation was unable to fill this subpocket (Figure D). Accordingly,
the docking scores were 0.5–1.0 units more favorable for 2, 4, and 6 compared to their respective para-substituted compounds 3, 5, and 7 (Table S2). We note
that in all cases, the magnitude of the docking scores were less than
that of colchicine (−15.2), which may to some extent be expected
given its considerably larger size.To refine the predicted
binding mode of compound 4, a 50 ns molecular dynamics
simulation of its docked pose in tubulin
in explicit aqueous solvent was performed. The ligand remained in
its overall docked orientation in the binding pocket, with the occupation
of the subpocket by the meta-F group (Table S4); however, during the MD simulation,
the isoquinolinone amide H and O atoms of 4 also established
several hydrogen bonds with the backbone and side chain of Asn249
(Figure A, Table ). The two hydrogen
bonds to the Asn249 backbone persisted over the simulation but were
more sporadically formed with the Asn249 side chain.
Figure 5
(A) MD-refined pose of
compound 4 (pink); hydrogen
bonds are indicated by black dotted lines. (B) Superposition of compounds 4 (pink) and 5 (gray); F···O close
contact indicated by red dotted line and value of MD-averaged distance.
Table 4
Average Interatomic Distances (in
Å) between Tubulin Residue Asn249 and Amide Oam and
Nam Atoms of Ligand from Final 10 ns of MD Simulation of
Ligand–Tubulin Complexes (Standard Deviations in Parentheses)
distance
(Å)
compound
Asn249 N···Oam
Asn249 O···Nam
Asn249 Nδ2···Oam
2
3.23 (0.31)
3.04 (0.23)
4.56 (0.87)
3
3.06 (0.27)
3.24 (0.35)
4.77 (0.59)
4
3.03 (0.19)
3.05 (0.22)
3.41 (0.92)
5
3.09 (0.26)
3.02 (0.22)
4.64 (0.85)
6
3.05 (0.23)
3.12 (0.29)
5.05 (0.83)
7
3.68 (1.17)
3.43 (1.02)
5.15 (1.26)
8
3.17 (0.34)
3.01 (0.21)
4.87 (0.62)
md1
3.19 (0.30)
3.09 (0.24)
4.09 (1.17)
md2
3.34 (0.42)
2.88 (0.14)
5.07 (0.63)
md3
2.95 (0.17)
3.07 (0.21)
4.46 (0.37)
md4
3.07 (0.22)
3.08 (0.21)
2.95 (0.19)
md5
2.98 (0.19)
3.03 (0.18)
4.92 (0.83)
md6
3.11 (0.26)
3.11 (0.26)
4.94 (0.65)
(A) MD-refined pose of
compound 4 (pink); hydrogen
bonds are indicated by black dotted lines. (B) Superposition of compounds 4 (pink) and 5 (gray); F···O close
contact indicated by red dotted line and value of MD-averaged distance.The binding free energy of ligand 4 was then computed,
applying the MM/GBSA method[55] to compute
the average affinity over the last 10 ns of the trajectory. A calculated
ΔGtot of −39.3 kcal/mol was
predicted (Table ),
composed of a significant nonelectrostatic component ΔGnonel of −42.2 kcal/mol, indicating good
shape complementarity in the protein pocket, and largely canceling
electrostatic contributions to binding ΔGel, from interaction with protein and solvent (Table ). The predicted binding affinity
for 4 is nevertheless reduced compared to that observed
for the rather larger colchicine molecule, with ΔGtot and ΔGnonel values
of −45.2 and −66.3 kcal/mol, respectively (Table ).
Table 5
Calculated Total Binding Free Energies,
ΔGtot, and Electrostatic (ΔGel) and Nonelectrostatic (ΔGnonel) Contributions, Using the MM/GBSA Method (Energies
in kcal/mol; Standard deviations in Parentheses)
compound
R
R′
ΔGtot
ΔGel
ΔGnonel
colchicine
–45.2 (4.5)
21.3 (7.2)
–66.3
(3.3)
2
6-F
m-OMe
–37.4 (2.7)
8.7 (3.9)
–46.1 (2.1)
3
6-F
p-OMe
–34.4 (3.0)
12.1 (3.9)
–46.4 (2.3)
4
6-F
m-F
–39.3 (2.8)
3.0 (4.3)
–42.2
(2.5)
5
6-F
p-F
–36.4 (3.2)
6.9 (4.8)
–43.2 (2.2)
6
7-F
m-OMe
–37.1 (2.7)
9.4 (4.6)
–46.5 (1.8)
7
7-F
p-OMe
–35.9 (3.4)
11.5 (6.1)
–47.3
(2.3)
8
7-F
p-F
–32.7 (2.9)
9.4 (4.6)
–42.2 (1.9)
md1
6-F
m-Cl
–41.2
(3.2)
4.6 (4.8)
–45.8 (2.1)
md2
6-F
m-NHMe
–43.6 (3.0)
4.0 (4.0)
–47.5 (2.2)
md3
7-F
m-F
–36.1 (3.0)
8.5 (3.1)
–44.5 (2.0)
md4
6-OMe
m-F
–46.7 (2.8)
2.1 (3.7)
–48.8
(2.4)
md5
6,7-OMe
m-F
–44.9 (3.8)
9.4 (4.4)
–54.3 (2.2)
md6
6-OMe
m-NHMe
–45.4
(4.1)
5.4 (5.4)
–50.8 (2.0)
Furthermore, the ability
of the other meta-substituted
compounds, 2 and 6, to assume this hydrogen-bonded
pose of 4 was evaluated. Thus, MD simulations of 2 and 6 were started from the 30 ns orientation
of 4, equilibrating for 20 ns and computing the MM/GBSA
affinity over a further 10 ns. Both compounds were able to retain
this pose over the trajectory (Tables and S4). Interestingly, 2 and 6 had a lower affinity than 4 and similar to each other, with ΔGtot values of −37.4 and −37.1 kcal/mol, respectively (Table ); this reflected
the experimentally measured relative activity of 2, 4, and 6 (Table ). From these simulations, both 6-F and 7-F derivatives
appear to be tolerated within the tubulin site (Table S4).Using the same protocol, the ability of the para-substituted compounds 3, 5, 7, and 8 was then assessed to maintain
the MD pose adopted
by 4via simulation. The computed affinities
range from −32.7 to −36.4 kcal/mol (Table ), less than their meta-substituted counterparts by 1.2–3.0 kcal/mol. These compounds
appear able to maintain the hydrogen bonding to tubulin via their
isoquinolinone amide group (Table ), but the para substituent experienced
a close contact with the backbone carbonyl oxygen of Val238. For example,
an unfavorable close contact between the Val238 backbone O and the para-F atom of compound 5 was observed, with
an MD-averaged distance of 3.33 ± 0.41 Å (Figure B, Table S3); for compound 4, however, this distance was
larger, at 5.25 ± 0.47 Å.Finally, to computationally
probe the structure–activity
relationship of 4 further, we use the above MD-based
protocol to calculate ΔGtot values
for derivatives md1–md6 initiated
from the MD pose of 4 (Table ). Substitution of the meta-F to meta-Cl group in md1 resulted
in an increased affinity by 1.9 kcal/mol, with greater filling of
the S subpocket (Figure E, Table ). When
in md2 a methylamine group instead replaces the 3-F,
there is a more favorable ΔGtot by
4.3 kcal/mol; this gain appears to arise from an additional hydrogen-bond
interaction, formed by the methylamine NH of md2 with
the backbone O of Val238, having an MD average N···O
distance of 2.92 ± 0.34 Å. To forge this interaction, the
3-aryl group is rotated in the binding pocket away from subpocket
S (Table S4).Putative compounds md3–md5 consider
substitutions at the 6, 7, and both these positions in compound 4: changing the 6-F in 4 to 7-F to md3 results in a loss of binding free energy by 3.2 kcal/mol (Table ). However, mutation
from 6-F to 6-OMe in md4 leads to a significant gain
in ΔGtot, to a value of −46.7
kcal/mol; this ΔGtot value is improved
over not only 4 but also colchicine, which has a computed
free binding energy of −45.2 kcal/mol (Table ). Indeed, the ligand 3-F and 6-OMe groups
fits well into the tubulin site (Figure F); hydrogen bonding is maintained well by md4, particularly with the side chain of Asn249 (Table ). Alteration of compound 4 to have an OMe group at both 6 and 7 positions (md5) is not well accommodated; this may be due to a mismatch of the
nonpolar 7-OMe group with the polar backbone of Val238 (Figure F). Indeed, this position is
occupied by the oxo group of colchicine in its crystallographic pose
(Figure A). Finally,
we also note that combining a 3-methylamine and 6-OMe substituent
in compound md6 does not appear to be additively favorable,
with a computed ΔGtot of −45.4
kcal/mol (Table ).
Nevertheless, computed affinities of compounds md1–md6 suggest directions for further improvement of lead compound 4.
Effect on Tubulin Polymerization
Experimentally, the
direct interaction of 4 with tubulin was investigated
in a cell-free system using a tubulin polymerization assay. The polymerization
of purified tubulin into turbid microtubules was measured by a change
in the absorbance at 37 °C in the presence of DMSO (negative
control), paclitaxel and nocodazole (10 μM, positive polymerizing
and depolymerizing controls), or different concentrations of 4 (Figure ). In control samples, α- and β-tubulin subunits were
able to heterodimerize and assemble into microtubules in a time-dependent
manner as indicated by increasing absorbance values over time. Paclitaxel
generated higher absorbance values briefly after the onset of the
polymerization process, compared to the DMSO control. This indicates
the incidence of fast polymerization associated with the formation
of a denser microtubule mass. In contrast, 4 hindered
tubulin polymerization in a concentration-dependent manner, subsequently
reduced the final polymer mass of microtubules, and at its highest
concentration tested (20 μM) 4 was as effective
in suppressing tubulin polymerization as the positive control (nocodazole).
It is worth mentioning that microtubule dynamics can be potently altered
by microtubule-stabilizing or -destabilizing compounds at doses 10-
to 100-fold lower than those required for increasing or decreasing
the microtubule polymer mass.[31] In fact,
the anticancer efficacy of MTAs, such as paclitaxel and vinca alkaloids,
has relied on disrupting the microtubule dynamics rather than changing
the polymer mass, and therefore they are clinically dosed at very
low concentrations.[31]
Figure 6
3-Arylisoquinolinone
4 inhibits tubulin polymerization. Tubulin
was incubated at 37 °C in the presence of DMSO, paclitaxel, nocodazole,
or 4. The absorbance was measured at 350 nm every minute for 1 h using
a microplate reader. The delta absorbance (ΔA350) was calculated by subtracting the absorbance value
of zero time from those of the subsequent time points, and then plotted
versus time for each condition.
3-Arylisoquinolinone
4 inhibits tubulin polymerization. Tubulin
was incubated at 37 °C in the presence of DMSO, paclitaxel, nocodazole,
or 4. The absorbance was measured at 350 nm every minute for 1 h using
a microplate reader. The delta absorbance (ΔA350) was calculated by subtracting the absorbance value
of zero time from those of the subsequent time points, and then plotted
versus time for each condition.The impact of 4 on microtubule dynamics was further
determined by assessing cellular downstream effects, including mitotic
arrest, induction of apoptosis, and/or interference with tumor vasculature,
all of which are well known in the classic MTAs.
Effects on
Cell Cycle and Apoptosis
Given that microtubules
play an important role in the progression of cells through the cell
cycle, MTAs have been reported to be associated with mitotic arrest
and eventually apoptosis.[31] Therefore,
the effects of the meta compound 4 and
the corresponding para analogue 5 on
the cell cycle of HepG2 cells were examined after 24 h treatment using
flow cytometric analysis of the DNA content. As shown in Figure A, the untreated
HepG2 cells had a typical cell cycle profile, whereby the largest
and smallest proportions of cells were, respectively, located in G0/G1 (51.8 ±
1.7%) and G2/M (12.8
± 1.0%) phases. Exposure of HepG2 cells to 4 at
5 μM caused a significant accumulation of cells in the G2/M (62.2 ± 6.3%) phase
with a concomitant reduction in cell percentage at G0/G1 (11.7 ± 2.9%) and S (12.4 ± 2.2%) phases compared to the control (p ≤ 0.0001). Such mitotic block is strongly attributed
to the disruption of microtubule function. On the other hand, at a
concentration of 25 μM, 4 only decreased cell proportion
at the G0/G1 phase, compared to the control (p = 0.032). The
cell cycle analysis can normally detect small DNA fragments that appear
at lower values of the DNA content histograms in a region called sub-G0/G1 or sub-G1. These fragments can be attributed to the
presence of apoptotic (sub-diploid) cells.[32] Compound 4-treated HepG2 cells (Figure A) showed a significant sub-G0/G1 cell population, compared
to the control (2 μM, p = 0.04; 5 μM, p < 0.0001). The induction of apoptosis by 4 was further confirmed on another cancer cell line, SNU423, through
the use of Annexin V/Propidium iodide flow cytometry assay following
24 h treatment with concentrations of 0.5 and 1 μM (Figure C). Compared to the
control, SNU423 cells treated with 4 demonstrated a significant
increase in the percentages of early apoptotic (0.5 μM, p = 0.009; 1 μM, p = 0.0008) and
late apoptotic cells (0.5 μM, p = 0.04; 1 μM, p = 0.003). These data clearly indicate that the antimitotic
effect of 4 was associated with induction of apoptosis.
Figure 7
3-Arylisoquinolinone 4 induces reversible cell cycle
arrest at the G2/M phase
and apoptosis. (A) HepG2 cells were analyzed for cell cycle progression
using flow cytometry following 24 h treatment with DMSO (control), 4 or 5. (B) HepG2 cells were treated for 24 h and the compound-containing
medium was replaced with a fresh one for a further 24 h followed by
cell cycle determination. (C) Induction of apoptosis in SNU423 cells
was measured by Annexin V/PI assay following 24 h treatment. The cell
cycle histograms and the quadrant dot plots are representatives of
at least three independent experiments. Data are presented as mean
± SEM. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, and ****p ≤ 0.0001 compared to the control according to one-way
ANOVA followed by Dunnett’s multiple comparisons test.
3-Arylisoquinolinone 4 induces reversible cell cycle
arrest at the G2/M phase
and apoptosis. (A) HepG2 cells were analyzed for cell cycle progression
using flow cytometry following 24 h treatment with DMSO (control), 4 or 5. (B) HepG2 cells were treated for 24 h and the compound-containing
medium was replaced with a fresh one for a further 24 h followed by
cell cycle determination. (C) Induction of apoptosis in SNU423 cells
was measured by Annexin V/PI assay following 24 h treatment. The cell
cycle histograms and the quadrant dot plots are representatives of
at least three independent experiments. Data are presented as mean
± SEM. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, and ****p ≤ 0.0001 compared to the control according to one-way
ANOVA followed by Dunnett’s multiple comparisons test.Further, to gain insight into the sustainability
of alterations
induced by 3-arylisoquinolinones on cell cycle, the compound-containing
medium was removed after 24 h treatment and replaced with fresh medium
for an additional 24 h (i.e., 24 h+drug/24 h–drug), prior to cell cycle analysis (Figure B). The percentages of HepG2 cells at G0/G1, S, and G2/M phases were
restored to values similar to those of the control, while a high cell
population at sub-G0/G1 was still displayed (p = 0.0096). Moreover,
the cell population at the G2/M phase following exposure to 4 (5 μM)
for 24 h+drug/24 h–drug was significantly
lower (17.49 ± 1.37%) compared to that of 24 h treatment (62.2
± 6.3%, p ≤ 0.0001), indicating reversibility
of the mitotic arrest. It has been reported that the reversion of
MTA-induced mitotic blockade is a compound-specific property and even
slight structural modifications in compounds within a particular class
are associated with significant differences in their abilities to
maintain mitotic arrest after compound washout.[33] For instance, paclitaxel was a moderately reversible mitotic
blocker; vinblastine, colcemid, and nocodazole were highly reversible;
and vincristine and colchicine were irreversible.[33] Generally, compounds with reversible therapeutic efficacy
are favored since their effects, including toxicities, are possibly
eliminated upon drug withdrawal, and this is an important criterion
for use in patients.[34]
Effects on
Endothelial Tube Formation and Disruption
In addition to
their antimitotic effects on cancer cells, some MTAs
can alter the function of endothelial cells lining tumor vasculature
resulting in inhibition of angiogenesis and/or disruption of the preestablished
tumor vessels (collectively known as antivascular actions).[35] Since the meta-F-substituted
isoquinolinone 4 has demonstrated targeting of microtubules,
its antivascular activities were further explored. Some MTAs have
been reported to exhibit antivascular effects at low concentrations
that do not induce cytotoxicity to the endothelial cells;[25,35,36] therefore, the weakly tumor cytotoxic 5 (para-F-substituted isoquinolinone) was
also tested. The work was carried out in vitro using
the primary human umbilical vascular endothelial cells (HUVECs), which
can assemble into capillary-like tubes when grown on an extracellular
matrix substrate such as Matrigel.[37]Figure A shows that
HUVECs in the control group were able to form a network of interconnecting,
capillary-like tubes within 16 h following seeding. Compound 4 at 2 μM markedly suppressed tube formation in a concentration-dependent
manner, and cells remained disconnected. In contrast, 5 did not significantly affect the process of tube formation at a
high concentration (25 μM). Moreover, networks of HUVEC-based
tubes were exposed for 16 h to different concentrations of 4 and 5 to assess their potential tube disruptive effects
(Figure B). In contrast
to 5, 4 was able to disrupt the preestablished
capillary-like tubes formed by HUVECs in a concentration-dependent
manner, compared to the control. The disruption was more pronounced
at 1 and 2 μM of 4, as evidenced by a decrease
in tube junctions and formation of short distorted tubes.
Figure 8
Compound 4 inhibits tube formation and disrupts preestablished
tubes of endothelial cells at noncytotoxic concentrations. (A) HUVECs
were seeded on Matrigel-coated wells with a medium containing DMSO
(control) or the indicated concentrations of 4 or 5 for 16 h. (B)
After allowing HUVECs to form capillary-like tubes on Matrigel-coated
wells for 4 h, the cells were treated with DMSO, 4, or 5 for an additional 16 h. The morphology of cells was observed
under a light microscope following the 16 h incubation period (A,
B) and the bright-field images were captured at 4× magnification.
The presented images are representatives of three independent experiments.
Scale bar = 200 μm. (C) Effect of 4 on endothelial
cells proliferation. HUVECs were treated with a range of concentrations
of 4 for 24 h followed by SRB assay. Each column represents
the mean ± SEM of three independent experiments.
Compound 4 inhibits tube formation and disrupts preestablished
tubes of endothelial cells at noncytotoxic concentrations. (A) HUVECs
were seeded on Matrigel-coated wells with a medium containing DMSO
(control) or the indicated concentrations of 4 or 5 for 16 h. (B)
After allowing HUVECs to form capillary-like tubes on Matrigel-coated
wells for 4 h, the cells were treated with DMSO, 4, or 5 for an additional 16 h. The morphology of cells was observed
under a light microscope following the 16 h incubation period (A,
B) and the bright-field images were captured at 4× magnification.
The presented images are representatives of three independent experiments.
Scale bar = 200 μm. (C) Effect of 4 on endothelial
cells proliferation. HUVECs were treated with a range of concentrations
of 4 for 24 h followed by SRB assay. Each column represents
the mean ± SEM of three independent experiments.Compound 4 was further elucidated whether it
blocked
the formation of capillary-like tubes and disrupted the already existing
tubes of HUVECs as a result of inducing endothelial cell death. Accordingly,
the growth of HUVECs treated with 4 was investigated
using the SRB assay. HUVECs were plated on 96-well plates without
prior coating with Matrigel and then exposed to different concentrations
of 4 for 24 h. As shown in Figure C, 4 was not able to significantly
diminish the proliferation of HUVECs at concentrations that caused
antivascular effects or even at a concentration of 10 μM. Thus,
the antivascular effects of 4 were not correlated with
induction of cytotoxicity in HUVECs, which is consistent with other
MTAs,[25,38−40] suggesting that 4 could be a potential antiangiogenic and vascular disrupting
agent. It is worth mentioning that some MTAs, particularly microtubule-destabilizing
agents such as combretastatins and vinca alkaloids, displayed both
antiangiogenic and vascular disrupting effects in preclinical models
and they are still under clinical investigations for these effects.[35,41,42]The vascular disrupting
activity demonstrated by MTAs is mainly
attributed to structural alterations of the endothelial cytoskeleton,
rather than the death of endothelial cells.[43] Accordingly, the effect of 4 on the cytoskeleton network
(actin and microtubules) was explored by means of immunofluorescence.
HUVECs were exposed to 24 h treatment with either 4 or
colchicine as a positive cytoskeleton-disrupting agent.[44] The cells were then fixed, stained, and microscopically
examined for actin, α-tubulin subunits of the microtubules,
and the nuclei. As shown in Figure , the actin and microtubules in the control were organized
as long filaments around the cell nucleus. Exposure of cells to 4 caused a marked disruption in the cytoskeleton network,
similar to colchicine. The disruption was characterized by shortened
microtubules with outer blebbing filled with tubulin and thicker and
brighter actin fibers (stress fibers). Many rounded and retracted
cells were also observed in HUVECs treated with 4. These
alterations were demonstrated previously with combretastatin A4 phosphate
and were correlated to microtubule destabilization.[39] Taken together, 4 induced morphological alterations
in endothelial cells are possibly the reason behind the disruption
of the preexisting tubes of HUVECs cultured on Matrigel.
Figure 9
Compound 4 disrupts the cytoskeleton network in endothelial
cells. HUVECs were treated with DMSO (control), colchicine (positive
control), or 4 for 24 h. Cells were then formaldehyde-fixed and stained
for tubulin (anti-α tubulin then CY5 IgG, red), F-actin (phalloidin-Atto
488, green), and nuclei (DAPI, blue). Fluorescent images were acquired
at 63× magnification using an inverted microscope. The white
arrows indicate actin stress fibers, and the yellow arrows indicate
tubulin blebs. The presented images are representatives of three independent
experiments. Scale bar = 20 μm.
Compound 4 disrupts the cytoskeleton network in endothelial
cells. HUVECs were treated with DMSO (control), colchicine (positive
control), or 4 for 24 h. Cells were then formaldehyde-fixed and stained
for tubulin (anti-α tubulin then CY5 IgG, red), F-actin (phalloidin-Atto
488, green), and nuclei (DAPI, blue). Fluorescent images were acquired
at 63× magnification using an inverted microscope. The white
arrows indicate actin stress fibers, and the yellow arrows indicate
tubulin blebs. The presented images are representatives of three independent
experiments. Scale bar = 20 μm.
Conclusions
The current study has provided compelling evidence
that slight
structural modifications on the aryl ring of 3-arylisoquinolinones
conferred a remarkable impact on their cytotoxic potential; the meta compounds were significantly more effective than the
corresponding para analogues. The meta-substituted 3-arylisoquinolinones exhibited broad-spectrum antiproliferative
activity as well as cancer cell selectivity. The findings reveal that
microtubules are the biological target of compound 4.
Accordingly, the meta-substituted 3-arylisoquinolinones
can be classified, for the first time, as MTAs with potential antimitotic,
antiangiogenic, and vascular disrupting properties. Indeed, computational
docking and MD simulations indicate that compound 4 can
interact well with the colchicine-binding pocket of tubulin; from
these simulations, 4 is predicted to have a more favorable
computed free energy of binding relative to the corresponding para-substituted molecule. This appears to arise largely
due to the occupation of a tubulin subpocket due to the meta orientation of the group; the para-substituted
compound by contrast is unable to interact with this subpocket and
experiences unfavorable steric and electrostatic interactions. We
further explore the structure–activity relationship of lead
compound 4 by simulating tubulin interactions with putative
compounds md2–md8; these ligands
examine other substitutions at the 3, 6, and 7 positions and provide
potential future design directions. Overall, these findings should
stimulate further investigation of the in vivo efficacy
of this novel structural class of compounds.
Experimental
Section
Materials and Instrumentation for the Chemical Synthesis
Chemicals were purchased from Aldrich Chemical Co., Gillingham, U.K.
Syntheses were monitored by TLC on precoated 60 F254 silica
gel aluminum-backed plates (Merck, Darmstadt). Visualization of spots
for TLC was performed using a 3% vanillin in 1% H2SO4/ethanol solution, 1% KMnO4 in 7% K2CO3/10% NaOH solution, and a UV GL-58 Mineral-Light lamp.
Flash column grade 40–63 μm silica gel (Apollo scientific,
Stockport, U.K.) was used in preparative scale column chromatography.
NMR spectra were recorded using Bruker Avance spectrometers equipped
with a 5 mm single-axis Z-gradient quattro nucleus
probe, operating at 300 and 400 MHz for 1H and at 75 and
100 MHz for 13C. The spectrometer was running TOPSPIN NMR
system software (Version 2.0). Chemical shifts (δ) are reported
in parts per million (ppm), peak positions relative to Me4Si (0.00 ppm) for 1H and 13C NMR spectra. 19F NMR spectra were recorded on a Bruker Avance-400 spectrometer
operating at 376 MHz, and chemical shifts were referenced to hexafluorobenzene
at 161.7 ppm. Abbreviations used for splitting patterns are: s, singlet;
d, doublet; dd, doublet of doublet; t, triplet; q, quartet; p, pentet;
m, multiplet. Mass spectra were recorded at the School of Chemistry,
University of Manchester using Micromass PLATFORM II (ES) and Thermo
Finnigan MAT95XP (Accurate mass and GCMS) instruments. IR spectroscopy
was performed on the solid and liquid states using a JASCO Fourier
transform infrared spectrophotometer. The purity of final compounds 2–7 is >95% as shown by HPLC-MS (Table S5).
General Procedure for the Synthesis of Amides
(13, 14)
Thionyl chloride (6.0
mmol) was added
dropwise to 4-fluoro-2-methylbenzoic acid 9 (1.0 mmol)
for the synthesis of 13, and 5-fluoro-2-methylbenzoic
acid 10 for the synthesis of 14 (1.0 mmol)
at 0 °C. The reaction mixture was stirred for 30 min at 0 °C
and then heated at reflux overnight at 45 °C. Thionyl chloride
was removed on a rotary evaporator and CH2Cl2 (20 mL) was added and stirred at room temperature for 15 min. Diethylamine
(8.0 mmol) was added dropwise to the reaction mixture at 0 °C
and stirred overnight. Completion of the reaction was monitored by
TLC (EtOAc-hexane; 3:7 v/v). The reaction mixture was quenched with
water and extracted with EtOAc. The organic layer was washed with
2 M aq. HCl, dried with dry MgSO4, and evaporated.
General
Procedure for the Synthesis of Isoquinoline-1-ones (2–8)
A solution of the appropriate
benzonitrile (15–18) (1.5 mmol) in dry THF (10.0
mL) was added dropwise to a solution of n-BuLi (3.8 mmol, 2.5 M) in
dry THF (10 mL) for the synthesis of 2–4 or LDA (4.0 mmol, 1.0 M) in dry THF (10 mL) for the synthesis of 5–8 at –78 °C.
The reaction mixture was stirred overnight (15 h). Completion of the
reaction was monitored by TLC (MeOH-CH2Cl2;
1:99 v/v).
Chains A and B of tubulin from
its colchicine complex crystal structure (PDB code 4O2B)[45] were prepared using Molecular Operating Environment
(MOE)[46] and used for computational docking.
Docking was performed using the OpenEye software suite.[47] Omega classic was used to create a 3D structure
of the compounds using a maximum number of conformations of 100 for
each compound. The colchicine site of tubulin was prepared for docking
using the make_receptor module. The FRED module was
used to dock the compounds using the Chemgauss4 scoring function.
The best 20 poses for each compound were visualized using Vida 4.4.0
and MOE 2020.09. This docking protocol was able to closely reproduce
the binding mode of colchicine as the top-ranked pose (Figure S25).
Molecular Dynamics Simulations
Molecular dynamics simulations
of tubulin–ligand complexes were conducted using the AMBER
19 package.[45] Atomic partial charges of
the ligands were assigned via the AM1-BCC method implemented in the antechamber module of AMBER. The gaff2 and ff14SB force fields were used to describe the ligands and
the receptor, respectively.[48,49] The GTP cofactor was
modeled using the parameters of Meagher et al.[50] and gaff2. The systems were solvated in
an octahedral TIP3P water box[51] that extends
at least 15 Å from the protein–ligand surface. Sodium
and chloride counterions were added to neutralize the system and model
a salt concentration of 0.15 mM. This led to ∼43,000 water
molecules for each simulation system. The generated topology file
was edited with the parmed module of AMBER 19 to
repartition the mass of heavy atoms into the bonded hydrogen atoms.
The new topology file was designed to use hydrogen mass repartitioning
(HMR)[52] in which the time step of the simulation
could be increased to 4 fs. The nonbonded cutoff of 9.0 Å was
used, along with the particle mesh Ewald (PME) method for long-range
electrostatic interactions.MD simulations were performed using
the pmemd.cuda module of AMBER 19. For simulation
of compound 4 bound to tubulin, the system was energy-minimized
and then gradually heated from 0 to 300 K over 500 ps in the NVT ensemble
using the Langevin thermostat.[53] Covalent
bonds to hydrogen were restrained by the SHAKE algorithm. Water and
ions were relaxed over 5 ns while the protein–ligand complex
was restrained with a weight of 10 kcal/(mol Å). The restraints
were released gradually over 5 ns, and the system was equilibrated
for 10 ns in an NPT ensemble at 300 K and 1 atm using the Berendsen
barostat.[54] Production simulations were
performed for 20 ns in an NPT ensemble, during which the snapshots
were sampled every 10 ps. For simulation of the remaining compounds
in complex with tubulin, starting from the 30 ns MD pose of 4/tubulin, these compounds were reequilibrated for 20 ns,
followed by production dynamics for 10 ns.For all compound-protein
systems, the MM/GBSA method was applied
to the final 10 ns to compute approximate binding free energies. These
calculations were performed using the MMPBSA.py tool of AMBER 19.
The internal and external dielectric constants were set to 1.0 and
80.0, respectively. The ionic strength was set to 0.15 mM. MM/GBSA
calculations were performed using 100 snapshots/compound. The electrostatic
contribution to binding free energy ΔGel was a sum of electrostatic protein–ligand and solvation
components; the nonelectrostatic contribution ΔGnonel was a sum of protein–ligand van der Waals
and nonelectrostatic solvation terms.
Cell Culture
All
cell lines used in the study were
human-derived and purchased from ATCC (Manassas, USA). Breast adenocarcinoma
MCF-7 and MDA-MB-231 cell lines were cultured in DMEM. Hepatocellular
carcinoma HepG2 and SNU423 cell lines were grown in MEME combined
with 1% (v/v) nonessential amino acids and RPMI supplemented with
2 mM glutamine, respectively. Lung adenocarcinoma A549 and colorectal
carcinoma HCT116 cells were grown in RPMI (+2 mM glutamine). All previous
media were further supplemented with 10% heat-inactivated fetal bovine
serum. The immortalized, normal liver THLE-3 cells were grown in BEGM
(Lonza, Cat# CC-3170) onto precoated vessels according to ATCC’s
instructions. Human umbilical vein endothelial cells (HUVECs) were
cultured in EGM-2 (Lonza, Cat# CC-3162). All of the cells were maintained
at 37 °C and 5% CO2 in a humidified incubator.
Preparation
of Compounds for Cell Treatment
The stock
solutions of compounds 2–8 were made
in DMSO at 40 mM and stored in single-use aliquots at −20 °C.
Directly before each experiment, compounds were diluted in culture
medium to the required concentrations where DMSO was ≤0.3%.
SRB Assay
Screening of the antiproliferative activity
of 3-arylisoquinolinones was performed using the SRB assay as previously
described.[56] Exponentially growing HepG2,
SNU423, MDA-MB-231, MCF-7, A549, HCT116, THLE-3, and HUVECs were seeded
in 96-well plates at densities of 3000, 2000, 1500, 2500, 1000, 1000,
4000, and 4000 cells/well, respectively. These densities were experimentally
selected so that the DMSO-treated cells (control) were approximately
80–90% confluent at the assay’s endpoint, and their
optical density (OD) values fell within the assay’s linear
range. After overnight incubation, the cells were treated with a range
of concentrations of the respective compounds for 96 h, 24 h followed
by 72 h compound-free incubation or 24 h (for HUVECs only). After
treatment, cell monolayers were fixed with 10% (w/v) trichloroacetic
acid for 1 h at 4 °C, washed, and dried. Then, the cells were
exposed to 0.4% (w/v) SRB dye (prepared in 1% (v/v) acetic acid; Botium,
Cat# 80100) for 15 min followed by several 1% acetic acid washing
and then drying. Finally, the cellular protein-bound SRB was thoroughly
dissolved in 10 mM Tris base, and the OD values were read at 510 nm
using a plate reader (μQuant Microplate Spectrophotometer, Biotek,
U.K.) coupled with Gen5 software (BioTek, U.K.). Compound-induced
changes in cell growth were inferred from changes in OD values. Cell
growth was calculated using the following formula: cell growth (%)
= (ODtest/ODcontrol) × 100. The IC50 value, the concentration at which a compound inhibits cell
growth by 50% of that of the control, was determined graphically from
dose–response curves created using the four-parameter nonlinear
regression analysis in GraphPad Prism 8.
Clonogenic Assay
The ability of potential anticancer
agents to prevent unlimited cell division and induce reproductive
cell death was assessed using clonogenic assay as previously described.[57] In brief, HepG2 cells were seeded into six-well
plates at a density of 1000 single cells/well and incubated for 10–12
h to adhere. The cells were then treated with DMSO (control) or a
range of concentrations of 2–6 for 14 days. Afterward,
the produced colonies were washed with phosphate-buffered saline (PBS),
fixed with 70% ethanol for 20 min, and stained with 0.5% (w/v) methylene
blue (prepared in 70% methanol). Following washing with water and
drying, colonies (≥50 cells) were manually counted. The colony-forming
efficiency (CFE) of cells was calculated by dividing the number of
colonies formed by the number of cells seeded for each condition.
The surviving fraction was determined by dividing the CFE of the treated
cells by CFE of the control cells. A survival curve was generated
by plotting the log of drug concentrations versus surviving fraction.
Tubulin Polymerization Assay
The cell-free tubulin
polymerization experiment was performed using the Tubulin Polymerization
Assay Kit according to the manufacturer’s instructions (Millipore,
Cat# 17-10194). The light absorbed by microtubules, which were formed
upon tubulin polymerization, is directly proportional to the polymer
mass. Briefly, polymerization buffer containing 1 mM GTP was used
to dilute the purified bovine tubulin (making 60 μM), DMSO (negative
control), paclitaxel (tubulin-polymerizing agent), nocodazole (tubulin-depolymerizing
agent), as well as 4. In a half area, 96-well plate kept
on ice, tubulin was gently mixed with DMSO or the test agents so that
the final concentrations of paclitaxel and nocodazole were 10 μM,
and those of 4 were 5, 10, and 20 μM. Immediately,
the plate was placed in a 37 °C-prewarmed plate reader (BMG LABTECH
FLUOstar Omega, Germany) and the absorbance was measured at 1 min
intervals for 60 min at a wavelength of 350 nm. The delta absorbance
(ΔA) was calculated by subtracting the absorbance
values of zero time from those of the subsequent time points and then
plotted versus time.
Cell Cycle Analysis
HepG2 cells
(5 × 105) were seeded into 6 cm cell culture dishes
and allowed to attach
overnight. Then, the cells were exposed to DMSO, 4 (1,
2, 5 μM), or 5 (25 μM) as two sets. One set
was subjected to 24 h treatment, whereas the other was treated for
24 h followed by a 24 h compound-free period. Floating and adhesive
cells were then collected, washed with PBS, and fixed by vortexing
with ice-cold 70% ethanol and following shaking onto ice for 30 min.
The ethanol–cell suspension was washed twice with PBS and centrifuged
at a high speed (2000g, 10 min) after each wash.
Next, the cell pellet was incubated with DNA staining buffer made
of 400 μL of PBS, 50 μL of 1 mg/mL RNase A (Thermo Fisher
Scientific, Cat# EN0531), and 50 μL of 400 μg/mL propidium
iodide (PI; Molecular Probes, Cat# P3566) for 30 min at 37 °C
in the dark. Finally, the PI fluorescence data of 10 000 single
cells were acquired (see Figure S26 for
gating) using an FACSCanto II flow cytometer (BD Biosciences; Flow
Cytometry Facility, University of Manchester). Cell cycle profiles
were analyzed using FlowJo_V10 software, where the Watson model was
applied on histograms to calculate the percentage of cell population
in each cell cycle phase.
Annexin V/PI Apoptosis Assay
SNU423
(2 × 105) cells were seeded into 6 cm dishes and incubated
overnight.
The culture medium was then changed with a fresh one (to get rid of
any floating, potentially dead cells) followed by 24 h treatment with 4 (0.5, 1 μM). Floating and attached cells were then
collected, washed with cold PBS, and washed with Annexin V binding
buffer (ABB; BD Pharmingen, Cat# 556454). Next, the cell pellets were
incubated with 2% (v/v) APC-conjugated Annexin V (prepared in ABB;
BD Pharmingen, Cat# 550474) for 10 min at RT in the dark. Following
washing with ABB, the cell pellets were resuspended in 300 μL
of 0.5 μg/mL PI (prepared in ABB), kept on ice, and protected
from light. Finally, the cells were promptly analyzed with flow cytometry,
where the fluorescence data were collected from 10 000 single
cells following gating (see Figure S27)
and plotted onto quadrant graphs to determine the percentages of different
cell populations. The bottom left and top left quadrants indicate
live (Annexin Vlow/PIlow) and necrotic (Annexin
Vlow/PIhigh) cells, respectively. Further, the
bottom right and top right quadrants represent early apoptotic (Annexin
Vlhigh/PIlow) and late apoptotic/necrotic (Annexin
Vlhigh/PIhigh) cells, respectively.
Cytoskeleton
Immunofluorescence
HUVECs (2 × 104) were
allowed to adhere overnight into eight-well glass slides
(Ibidi, Cat# 80841) followed by 24 h treatment with colchicine (0.1
μM, positive control) and 4 (0.5, 1 μM).
Throughout the next steps, all of the reagents were removed by washing,
flicking, and gently dabbing the slide against a tissue paper. The
cells were then washed with PBS containing calcium and magnesium (Sigma,
Cat# D1283), fixed with 10% formalin solution (Sigma, Cat# HT5014)
for 15 min, and permeabilized with 0.2% (v/v) Triton X-100 for 5 min.
Next, the cells were exposed to 1 h incubation with blocking buffer
made of 10% (v/v) normal goat serum (Vector Laboratories, Cat# S-1000),
1% (w/v) bovine serum albumin (Sigma, Cat# A9418), and 0.3 M glycine
in PBS-T (0.05% Tween-20 in PBS). The cells were then incubated with
rabbit α-tubulin primary antibody (1:1000 in the blocking buffer,
Abcam, Cat# ab52866) for 2 h at RT after three times washing with
PBS-T, each for 5 min. Afterward, the cells were co-incubated with
cyanine 5 goat anti-rabbit IgG (1:1000, Invitrogen, Cat# A10523) and
the F-actin specific stain Phalloidin-Atto 488 (1:500, Sigma, Cat#
49409) for 1 h in the dark at RT and then washed with PBS-T. The nuclei
were stained with DAPI (1 μg/mL in PBS) for 5 min followed by
mounting coverslips on slides using Dako mounting medium (Cat# S3023).
Finally, the cytoskeleton was visualized at 63x, oil-based magnification
using fluorescence, inverted microscope (Leica DMI6000B, Leica Microsystems).
Images were then processed using Fiji ImageJ software.
Endothelial
Cell Tube Formation Assay
Matrigel (Corning,
Cat# 356237) was gently added into 96-well plates at a volume of 70
μL/well and allowed to gel at 37 °C for 30 min. A mixture
of HUVECs (25 × 103) and DMSO, 4 (0.5,
1, 2 μM), or 5 (25 μM) was then dispensed
over the gels and incubated for 16 h. Next, the wells were filled
with PBS and covered with a coverslip to diminish the meniscus effect,
allowing proper examination of the endothelial tube networks under
a light microscope (Optika XDS-3, Italy). Bright-field images of 4x
magnification were captured and then processed using Fiji ImageJ software.
For the assessment of endothelial tube disruption, HUVECs at a density
of 25 × 103 cells/well were seeded onto Matrigel and
incubated for 4 h to align into tubes. The cells were then treated
with DMSO, 4, or 5 for 16 h prior to the
microscopic examination as mentioned above.
Statistics
Statistical
analyses were carried out using
GraphPad Prism version 8.0 (San Diego, CA). The data were presented
as the mean ± SEM of a minimum of three independent experiments.
One-way analysis of variance (ANOVA) followed by Dunnett’s
or Tukey’s multiple comparisons test was employed to determine
the significance level of differences among groups (versus control
in Dunnett’s). Differences with p < 0.05
were considered statistically significant.
Authors: S E Bates; A T Fojo; J N Weinstein; T G Myers; M Alvarez; K D Pauli; B A Chabner Journal: J Cancer Res Clin Oncol Date: 1995 Impact factor: 4.553
Authors: Karen A Nolan; Mark S Dunstan; Mary C Caraher; Katherine A Scott; David Leys; Ian J Stratford Journal: Mol Cancer Ther Date: 2011-11-16 Impact factor: 6.261
Authors: Gary M Chinigo; Mikell Paige; Scott Grindrod; Ernest Hamel; Sivanesan Dakshanamurthy; Maksymilian Chruszcz; Wladek Minor; Milton L Brown Journal: J Med Chem Date: 2008-07-09 Impact factor: 7.446