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Inhibition of 3D colon cancer stem cell spheroids by cytotoxic RuII-p-cymene complexes of mesalazine derivatives.
Biomedicine & Pharmacotherapy 177 (2024) 117059
Contents lists available at ScienceDirect
Biomedicine & Pharmacotherapy
journal homepage: www.elsevier.com/locate/biopha
Ruthenium complex containing 1,3-thiazolidine-2-thione inhibits hepatic
cancer stem cells by suppressing Akt/mTOR signalling and leading to
apoptotic and autophagic cell death
Sara P. Neves a , Larissa M. Bomfim a , Tetsushi Kataura b , Sabrine G. Carvalho a , Mateus
L. Nogueira a , Rosane B. Dias a, c, d , Ludmila de F. Valverde a, e , Clarissa A. Gurgel Rocha a, c, f ,
Milena B.P. Soares a, g , Monize M. da Silva h , Alzir A. Batista h , Viktor I. Korolchuk b , Daniel
P. Bezerra a, *
a
Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, Bahia, 40296-710, Brazil
Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
c
Department of Propedeutics, School of Dentistry of the Federal University of Bahia, Salvador, Bahia, 40110-909, Brazil
d
Department of Biological Sciences, State University of Feira de Santana, Feira de Santana, Bahia, 44036-900, Brazil
e
Department of Dentistry, Federal University of Sergipe, Lagarto, Sergipe, 49400-000, Brazil
f
Center for Biotechnology and Cell Therapy, D’Or Institute for Research and Education (IDOR), Salvador, Bahia, 41253-190, Brazil
g
SENAI Institute of Innovation (ISI) in Health Advanced Systems, University Center SENAI/CIMATEC, Salvador, Bahia, 41650-010, Brazil
h
Department of Chemistry, Federal University of São Carlos, São Carlos, São Paulo, 13561-901 Brazil
b
A R T I C L E I N F O
A B S T R A C T
Keywords:
Ruthenium complex
Hepatic cancer stem cells
HCC
Apoptosis
Autophagy
Mitophagy
Hepatic cancer is one of the main causes of cancer-related death worldwide. Cancer stem cells (CSCs) are a
unique subset of cancer cells that promote tumour growth, maintenance, and therapeutic resistance, leading to
recurrence. In the present work, the ability of a ruthenium complex containing 1,3-thiazolidine-2-thione (RCT),
with the chemical formula [Ru(tzdt)(bipy)(dppb)]PF6, to inhibit hepatic CSCs was explored in human hepato
cellular carcinoma HepG2 cells. RCT exhibited potent cytotoxicity to solid and haematological cancer cell lines
and reduced the clonogenic potential, CD133+ and CD44high cell percentages and tumour spheroid growth of
HepG2 cells. RCT also inhibited cell motility, as observed in the wound healing assay and transwell cell migration
assay. RCT reduced the levels of Akt1, phospho-Akt (Ser473), phospho-Akt (Thr308), phospho-mTOR (Ser2448),
and phospho-S6 (Ser235/Ser236) in HepG2 cells, indicating that interfering with Akt/mTOR signalling is a
mechanism of action of RCT. The levels of active caspase-3 and cleaved PARP (Asp214) were increased in RCTtreated HepG2 cells, indicating the induction of apoptotic cell death. In addition, RCT modulated the autophagy
markers LC3B and p62/SQSTM1 in HepG2 cells and increased mitophagy in a mt-Keima-transfected mouse
embryonic fibroblast (MEF) cell model, and RCT-induced cytotoxicity was partially prevented by autophagy
inhibitors. Furthermore, mutant Atg5-/- MEFs and PentaKO HeLa cells (human cervical adenocarcinoma with five
autophagy receptor knockouts) were less sensitive to RCT cytotoxicity than their parental cell lines, indicating
that RCT induces autophagy-mediated cell death. Taken together, these data indicate that RCT is a novel po
tential anti-liver cancer drug with a suppressive effect on CSCs.
1. Introduction
Hepatic cancer is one of the leading causes of cancer-related death
worldwide, with approximately 905,700 new cases and 830,200 deaths
worldwide in 2020. By 2040, 1.3 million people are expected to die from
liver cancer [1].
Hepatocellular carcinoma (HCC) is the most frequent histologic type
of liver cancer, accounting for 90 % of all liver cancer cases. Systemic
therapies are recommended for patients with advanced or intermediate
HCC, and sorafenib and lenvatinib continue to be the most effective
single-drug treatments [2–5]. As second-line therapies, regorafenib,
cabozantinib, and ramucirumab have shown enhanced survival
* Corresponding author.
E-mail address: daniel.bezerra@fiocruz.br (D.P. Bezerra).
https://doi.org/10.1016/j.biopha.2024.117059
Available online 1 July 2024
0753-3322/© 2024 The Author(s).
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S.P. Neves et al.
Biomedicine & Pharmacotherapy 177 (2024) 117059
Fig. 1. (A) Chemical structure of RCT. (B) IC50 values for the cytotoxicity of RCT against solid (red bars) and haematological cancers (blue bars), as well as against
noncancerous cells (green bars). (C) Heatmap of selectivity indices (SIs) obtained for RCT. The SI was calculated using the following formula: SI = IC50 [noncancerous
cells]/IC50 [cancer cells].
advantages [6–8]. However, new drugs are urgently needed to improve
HCC treatment and patient survival.
Cancer stem cells (CSCs) are a unique subset of cancer cells that
promote tumour formation, maintenance, and resistance to therapy,
eventually leading to recurrence. These cells have stem cell features and
dictate a hierarchical organization [9–11]. Dysregulation of cell meta
bolism and cell signalling pathways has been described in the patho
genesis of CSCs and has been reported to be a target for eradicating this
rare population of cancer cells [9,10,12,13].
Ruthenium complexes have been reported as a potential new class of
antineoplastic agent with effects on different types of cancer cells
[14–19]. A ruthenium complex containing 1,3-thiazolidine-2-thione
(RCT) (Fig. 1A), with the chemical formula [Ru(tzdt)(bipy)(dppb)]PF6
(where tzdt = 1,3-thiazolidine-2-thione, bipy = 2,2′-bipyridine and
dppb = 1,4-bis(diphenylphosphino)butane), was previously synthesized
by our group and exhibited potent cytotoxicity against cancer cells with
the ability to inhibit the topoisomerase IB enzyme [20,21]. In HCC
HepG2 cells, RCT suppressed cell growth in two-dimensional and
three-dimensional models, caused caspase-mediated cell death via
ERK1/2 signalling through ROS- and p53-independent pathways, and
reduced tumour growth in vivo in a HepG2 xenograft model with
tolerable toxicity [22].
In the present work, the ability of RCT to inhibit hepatic CSCs was
explored in HCC HepG2 cells. We found that RCT suppresses hepatic
CSCs by inhibiting Akt/mTOR signalling and causing apoptotic and
autophagic cell death.
their parental cell lines, were used in this study (as specified in Sup
plementary Table 1). The cells were cultivated according to the manu
facturer’s instructions for each cell line or the ATCC recommendations
for animal cell culture [23]. All cell lines were grown in flasks at 37 ◦ C
with 5 % CO2 and subcultured every 3–4 days to sustain exponential
growth. Adherent cells were collected using a 0.25 % trypsin-EDTA so
lution (Sigma Aldrich Co.). To confirm the use of mycoplasma-free cells,
all cell lines were screened for mycoplasma using a mycoplasma staining
kit (Sigma Aldrich).
2. Materials and methods
To assess clonogenic potential, 500 cells were plated in 6-well plates
with 6 mL of complete medium and treated with drugs for 24, 48, or
72 h. Then, the medium was replaced with fresh medium without drugs,
and the cells were cultivated for a total of 14 days. Next, the cells were
fixed in methanol and stained with 0.5 % crystal violet. The number of
colonies containing more than 50 cells was counted using an optical
microscope (Nikon, TS100).
2.3. Alamar blue assay
Cell viability was quantified using the Alamar blue assay, as previ
ously described [24]. Adherent cells were plated in 96-well plates at a
density of 7 × 103 cells/well, and 3 × 104 cells/well were used for
suspension. Drugs were added to each well after overnight incubation
for adherent cells or immediately after seeding for suspension cells, and
incubation continued for an additional 72 h. Doxorubicin was used as a
positive control (Laboratorio IMA S.A.I.C., Buenos Aires, Argentina).
Four hours (for cell lines) or 24 h (for primary cultures) before the end of
incubation, 20 μL of resazurin (30 μM) (Sigma–Aldrich Co. St. Louis,
MO, USA) was added to each well. The absorbance at 570 and 600 nm
was quantified using a SpectraMax 190 microplate reader (Molecular
Devices, Sunnyvale, CA, USA).
2.4. Colony-forming assay
2.1. RCT synthesis
RCT was synthesized and characterized as previously described [20,
21]. For all experiments, RCT was dissolved in sterile dimethyl sulfoxide
(DMSO, Synth, Diadema, SP, Brazil) in a 5 mg/mL stock solution and
diluted with culture medium to various concentrations.
2.5. HepG2 tumour spheroids
2.2. Cell culture
HepG2 cells were plated in 24-well low-adhesion plates (Corning,
USA) at a low cell density (1000 cells/well in 2 mL) with serum-free
DMEM-F12 supplemented with 20 ng/mL bFGF (PeproTech, USA),
A panel of 23 cancer cell lines, two noncancerous cell lines, one
primary noncancerous cell line and three mutant cell lines, as well as
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Biomedicine & Pharmacotherapy 177 (2024) 117059
20 ng/mL EGF (PeproTech, USA), and B27 supplement (Invitrogen,
Carlsbad, CA, USA). After five days of incubation, the cells were treated
with RCT at 20, 10, 5, 2.5, or 1.25 µM. A Leica DMI8 optical microscope
was used to image the cells after 0, 24, and 48 h of incubation. For
confocal microscopy, cells were treated with 5 µM RCT for 48 h, stained
with acridine orange (1 µg/mL) plus propidium iodide (PI, 1 µg/mL),
and examined using a Leica TCS SP8 confocal microscope (Leica
Microsystems, Wetzlar, HE).
was performed as previously described [27]. The cells were first treated
in serum-free medium for 24 h. In 6-well plates (8 μm pore size; Corning,
USA), we used uncoated cell culture inserts. The upper chamber
received 1.5 mL of serum-free medium, whereas the lower chamber
received 2 mL of 20 % FBS medium. Cells that remained in the top
compartment after 24 h were removed with cotton swabs. The cells on
the bottom surface of the membrane were fixed with 4 % para
formaldehyde and stained with 0.5 % crystal violet. An optical micro
scope (Leica DMI8) was used to image and count the cells.
2.6. Flow cytometry assay
2.9. qPCR array
Flow cytometry was used to quantify protein levels using primary
antibodies conjugated to fluorochromes, as described in Supplementary
Table 2. For cell surface protein staining, the cells were rinsed with an
incubation buffer (0.5 % bovine serum albumin in PBS), and then an
tibodies were added and incubated for 1 h at room temperature. After
the cells were washed with PBS, the fluorescence of the cells was eval
uated using flow cytometry. To select live cells for the quantification of
CD133-positive cells, YO-PRO-1 (Sigma Aldrich Co.) was used.
For intracellular protein staining, the cells were collected and
resuspended in 0.5–1 mL of 4 % formaldehyde for 10 min at 37 ◦ C. The
tube was then placed on ice for 1 min. The cells were permeabilized on
ice for 30 min by progressively adding ice-cold 100 % methanol to
prechilled cells with gentle vortexing until the final methanol concen
tration reached 90 %. After washing with incubation buffer (0.5 %
bovine serum albumin in PBS), antibodies were added, and the cells
were incubated at room temperature for 1 h. Finally, the cells were
rinsed with PBS, and cell fluorescence was evaluated by flow cytometry.
Internucleosomal DNA fragmentation and cell cycle distribution
were examined by DNA content. The cells were stained with PI using a
solution containing 0.1 % Triton X-100, 2 µg/mL PI, 0.1 % sodium cit
rate, and 100 µg/mL RNAse (all from Sigma–Aldrich) and incubated in
the dark for 15 min at room temperature [25]. Cellular fluorescence was
quantified by flow cytometry.
Cell viability was also examined by an Annexin V-FITC/PI (FITC
Annexin V Apoptosis Detection Kit I, BD Biosciences, San Jose, CA, USA)
according to the manufacturer’s instructions. Cellular fluorescence was
quantified by flow cytometry.
For the functional assay, the following inhibitors were used: chlo
roquine (autophagy inhibitor, Sigma–Aldrich Co.); 3-methyladenine
(3-MA, autophagy inhibitor, Sigma–Aldrich Co.); or bafilomycin A1
(autophagy inhibitor, Enzo Life Sciences).
For all flow cytometry analyses, cellular fluorescence was quantified
using a BD LSRFortessa cytometer (BD Biosciences), BD FACSDiva
software (BD Biosciences), and FlowJo software 10 (FlowJo LLC; Ash
land, OR, USA). A minimum of 104 events/sample were analysed for
intracellular staining, and a minimum of 3 ×104 events/sample were
analysed for cell surface protein staining. Cellular debris was excluded,
and single cells were selected using FSC-A vs FCS-H and SCC-A vs SCC-H.
Total RNA was extracted using the RNeasy plus Mini Kit (Qiagen;
Hilden, Germany) according to the manufacturer’s instructions. A
NanoDrop® 1000 spectrophotometer (Thermo Fisher Scientific, Wal
tham, Massachusetts, USA) was used to analyse and quantify the purity
of the RNA. A Superscript VILO™ Kit (Invitrogen Corporation, Waltham,
MA, USA) was used for RNA reverse transcription. A TaqMan® array
human cancer drug target 96-well plate, fast (ID RPRWENH, Applied
BiosystemsTM, Foster City, CA, USA) was utilized for gene expression
measurement through qPCR. The analyses were carried out using ABI
ViiA7 (Applied BiosystemsTM) equipment.
The cycle conditions were 2 min at 50 ◦ C, 10 min at 95 ◦ C, and 40
cycles of 15 s at 95 ◦ C and 1 min at 60 ◦ C. All the experiments were
conducted under DNase/RNase-free conditions. The 2-ΔΔCT method [28]
was applied to calculate the relative quantification (RQ) of mRNA
expression using Gene Expression SuiteTM Software (Applied Bio
systemsTM). Cells treated with the negative control (0.2 % DMSO) were
used as a calibrator, and the RQs of the reference genes GAPDH, B2M
and RPLP0 were used to normalize the responses. When RQ was ≤ 0.5,
the genes were considered downregulated, indicating that gene
expression in drug-treated cells was at least half that of negative
control-treated cells, while when RQ was ≥2, the genes were deemed
upregulated, indicating that gene expression in drug-treated cells was at
least double that in negative control-treated cells.
2.10. Immunofluorescence staining
The cells were cultivated on coverslips in 24-well plates for 24 h
before being treated with drugs. After that, the cells were rinsed twice
with saline solution, permeabilized with 0.5 % Triton X-100, treated
with RNAse (10 μg/mL), and incubated overnight with a fluorochromeconjugated primary antibody (detailed in Supplementary Table 2). The
cells were rinsed with saline solution the next day and mounted using
Fluoromount-G with DAPI (Invitrogen, Thermo Fisher Scientific). A
Leica TCS SP8 confocal microscope (Leica Microsystems, Wetzlar, HE,
Germany) was used to photograph the cells.
2.11. Transmission electron microscopy analysis
2.7. Wound healing assay
The cells were fixed in 0.1 M sodium cacodylate buffer (pH 7.4)
containing 2.5 % glutaraldehyde and 2 % paraformaldehyde for at least
2 h. Following rinsing, the cells were exposed to 1 % osmium tetroxide,
0.8 % potassium ferricyanide, and 5 mM calcium chloride for 1 h. The
cells were then washed again and dehydrated in an acetone series before
being embedded in polybed epoxy resin. The ultrathin slices were
stained with 2 % aqueous uranyl acetate and 2 % aqueous lead citrate
and analysed by transmission electron microscopy (TEM) using a JEM1230 microscope (JEOL, 1230, USA, Inc.).
Wound healing assays were performed as previously described [26],
with minimal modifications. The cells were grown to 80–90 % con
fluency in 12-well plates, and a wound was produced by dragging a
plastic pipette tip over the cell surface. The remaining cells were washed
three times with saline solution to remove cell debris before they were
grown in serum-free medium and treated with drugs. Migrating cells in
front of the wound were imaged using an optical microscope (Nikon TS
100) after 0, 24, 48 and 72 h of incubation. The wound area was
determined using ImageJ software from the National Institutes of Health
(NIH, USA).
2.12. Mitophagy assay
Wild-type MEFs stably expressing mt-Keima were cultured in small
plates for 24 h (Greiner Bio-One). After this period, the cells were
treated with 4 µM RCT or with 1.5 mL of acetoacetate [29] or galactose
[30] media. The mt-Keima live cell signal was acquired using a Leica
2.8. Transwell migration assay
Transwell plates were also used for the cell migration assay, which
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Biomedicine & Pharmacotherapy 177 (2024) 117059
Fig. 2. (A) Representative images and (B) quantification of the number of colonies formed from HepG2 cells after treatment with RCT. (C and D) Quantification of
CD133 expression on HepG2 cells after 24 h of incubation with 4 μM RCT, as determined by flow cytometric analysis. (E and F) Quantification of CD44high in HepG2
cells after 24 h of incubation with 4 μM RCT, as determined by flow cytometric analysis. The vehicle (0.2 % DMSO) was used as a control (CTL). The data are
reported as the mean ± S.E.M. from three independent experiments, each performed in duplicate. * P < 0.05 compared to CTL by one-way ANOVA followed by
Dunnett’s multiple comparisons test or Student’s t test.
DMi8 inverted microscope with a Plan-Apochromat 63x/1.30 oil im
mersion objective equipped with an ORCA-Flash4v2.0 camera (Hama
matsu). Mitophagy events were determined as the number of points per
cell in images generated by subtracting the signal at 480 nm excitation
(indicating a neutral pH environment) from the signal at 561 nm exci
tation (indicating an acidic pH environment) by using ImageJ (version
1.41; NIH).
of different histological types after 72 h of incubation by the alamar blue
method. The RCT showed potent cytotoxicity for different cell types,
including solid (HepG2, HCT116, MDA-MB-231, MCF-7, 4T1, HSC-3,
CAL 27, SCC-25, SCC-4, SCC-9, A549, PANC-1, OVCAR-3, DU 145, U87 MG, A-375, and B16-F10) and haematological (NB4, THP-1, Jurkat,
K-562, HL-60, and KG-1a) malignancies (Fig. 1B and Supplementary
Table 3). For solid cancer cell lines, RCT showed IC50 values ranging
from 0.18 μM for ovarian cancer OVCAR-3 cells to 9.16 μM for colon
carcinoma HCT116 cells. For haematological malignancies, RCT showed
IC50 values ranging from 0.95 μM for monocytic leukaemia THP-1 cells
to 4.02 μM for acute myeloid leukaemia KG-1a cells. Doxorubicin, used
as a positive control, exhibited IC50 values ranging from 0.03 μM for
melanoma A-375 cells to 4.43 μM for oral squamous cell carcinoma SCC4 cells.
For comparison with that of malignant cells, the cytotoxic potential
of RCT was also investigated in three noncancerous cell lines (PBMC,
MRC-5, and BJ). In noncancerous cells, RCT had IC50 values of 5.94 μM
for PBMCs, 2.71 μM for foreskin fibroblast BJ cells and 2.06 μM for lung
fibroblast MRC-5 cells. The selectivity indices (SIs) were calculated for
each cell line and are displayed in Fig. 1C and Supplementary Table 4.
Importantly, RCT showed an SI greater than 2 for many of the cells
tested, especially compared with PBMCs. The IC50 values of doxorubicin
were 1.44 μM for PBMCs, 1.85 μM for foreskin fibroblast BJ cells and
0.39 μM for lung fibroblast MRC-5 cells.
In addition to being among the lines with good selectivity indices,
HCC HepG2 cell line was among the most sensitive cancer cell lines to
RCT and was selected for this study to evaluate the potential of RCT
against liver CSCs.
2.13. Statistical analysis
The data are reported as the mean ± S.E.M. or displayed as cell
popular violin plots or as half-maximal inhibitory concentration (IC50)
values with a 95 % confidence interval from at least three independent
experiments (biological replicates), each performed in duplicate (tech
nical replicates). The selectivity indices were calculated using the
following formula: selectively indices = IC50 [noncancerous cells]/IC50
[cancer cells]. Using GraphPad Prism (Intuitive Software for Science;
San Diego, CA, USA), two-tailed unpaired Student’s t test (P < 0.05) was
used to compare data between two groups, and one-way analysis of
variance (ANOVA) followed by Dunnett’s multiple comparisons test (P
< 0.05) was used to compare data among three or more groups.
3. Results
3.1. RCT exhibits potent cytotoxicity to solid and haematological cancer
cells
The cytotoxic potential of RCT was evaluated in 23 cancer cell lines
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Biomedicine & Pharmacotherapy 177 (2024) 117059
Fig. 3. (A) Representative images and (B) quantification of HepG2 cell migration in the wound healing assay after 24, 48 and 72 h of incubation with RCT. (C)
Representative images and (D) quantification of HepG2 cell migration in the transwell migration assay after 24 h of incubation with 4 μM RCT. The vehicle (0.2 %
DMSO) was used as a control (CTL). The data are reported as the mean ± S.E.M. from three independent experiments, each performed in duplicate. * P < 0.05
compared to CTL by one-way ANOVA followed by Dunnett’s multiple comparisons test or Student’s t test.
3.2. RCT causes elimination of hepatic CSCs from HCC HepG2 cells
found that RCT reduces HepG2 cell migration potential in both models.
To evaluate the potential of RCT for the treatment of hepatic CSCs,
we first analysed the effect of RCT on the clonogenic potential of HepG2
cells. The clonogenic assay, also known as the colony formation assay, is
a well-established in vitro approach for assessing CSC survival and
proliferation [31]. Furthermore, the hepatic cell surface CSC markers
CD133 and CD44 [32] were analysed in RCT-treated HepG2 cells.
Finally, we evaluated the effect of RCT on HepG2 tumour spheroids as a
method to enrich cell culture with CSCs [33].
The clonogenic potential of HepG2 cells was determined after
treatment with RCT at concentrations of 1, 2, and 4 μM for 24, 48, and
72 h of incubation. Treatment of HepG2 cells with RCT reduced colony
formation in a time- and concentration-dependent manner (Fig. 2A and
B). The inhibition rates were 54.7, 68.6 and 100 % after 24 h of incu
bation, respectively, and 100 % for all concentrations tested after 48 and
72 h of incubation.
RCT reduced the number of HepG2 CD133-positive cells after 24 h of
incubation. At a concentration of 4 µM, RCT reduced the percentage of
HepG2 CD133-positive cells to 29.9 % compared with 57.8 % detected
in the control (Fig. 2C and D). A reduction in CD44high cells was also
detected after treatment with RCT at the same concentration for 24 h
(Figs. 2E and F).
In the HepG2 tumour spheroid model, RCT reduced tumour spheroid
growth (Supplementary Figure 1) and caused cell death (Supplementary
Figure 2), indicating the anti-CSC potential of RCT.
3.4. RCT suppresses Akt/mTOR signalling in HCC HepG2 cells
The molecular mechanism of action of RCT in HepG2 cells was
investigated by analysing the transcripts of 82 target genes using a qPCR
array (Fig. 4A and Supplementary Table 5). A total of 21 genes were
upregulated, and 6 genes were downregulated, including PRKCB (RQ =
0.333), in RCT-treated HepG2 cells. This gene encodes the protein ki
nase C beta enzyme, which interacts with protein kinase B, better known
as Akt [35]. Therefore, the protein levels of several elements of the
Akt/mTOR signalling pathway were measured.
Curiously, the expression levels of Akt1 (Fig. 4B and C) and the levels
of phosphorylated Akt at Ser 473 (Fig. 4D and E), Akt at Thr 308 (Fig. 4F
and G), mTOR at Ser 2448 (Fig. 4H and I), and S6 at Ser 235/Ser 236
(Fig. 4J and K) were reduced in HepG2 cells treated with RCT, indicating
that interference with Akt/mTOR signalling is the mechanism of action
of RCT. The levels of phosphorylated PI3K p85/p55 at Tyr 458/Tyr 199
(Supplementary Figure 4A and B), 4EBP1 at Thr 36/Thr 45 (Supple
mentary Figure 4C and D) and elF4E at Ser 209 (Supplementary
Figure 4E and F) were not altered.
NF-κB signalling involves crosstalk with Akt/mTOR signalling [36]
and has also been investigated. However, the levels of NF-κB p65
phosphorylated at Ser 529 (Supplementary Figure 5A and B) and NF-κB
p65 phosphorylated at Ser 536 (Supplementary Figure 5C and D) and
the level of IκBα (Supplementary Figure 5E and F) were not changed in
the RCT-treated HepG2 cells.
3.3. RCT inhibits HCC HepG2 cell motility
3.5. RCT induces apoptotic and autophagic cell death in HCC HepG2 cells
Considering that RCT reduces hepatic CSCs and that one of the
characteristics of CSCs is their strong migratory and metastatic potential
[34], we hypothesized that RCT could have antimigration potential.
Therefore, the motility of the RCT-treated HepG2 cells was assessed by a
wound healing assay (Fig. 3A and B) and a transwell cell migration assay
(Fig. 3C and D). First, noncytotoxic concentrations of RCT were screened
(Supplementary Figure 3) for use in the wound healing assay. Next, we
The type of cell death induced by RCT in HepG2 cells was also
investigated. First, the levels of active caspase-3 (Fig. 5A and B) and
cleaved PARP (Asp214) (Fig. 5C and D) were measured in RCT-treated
HepG2 cells to investigate apoptotic cell death. Interestingly, at a con
centration of 4 μM, RCT increased the levels of these two apoptotic cell
death markers after 24 h of incubation, indicating the induction of
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Fig. 4. (A) Genes up- and downregulated in HepG2 cells after 12 h of treatment with 4 µM RCT. The vehicle (0.2 % DMSO) was used as a control (CTL). The data are
shown as relative quantification compared to CTL. The genes were upregulated if RQ ≥ 2 (red bars) and downregulated if RQ ≤ 0.5 (green bars). Quantification of the
levels of Akt1 (B and C), phospho-Akt (Ser473) (D and E), phospho-Akt (Thr308) (F and G), phospho-mTOR (Ser2448) (H and I) and phospho-S6 (Ser235/Ser236) (J
and K) in HepG2 cells after 24 h of incubation with 4 μM RCT, as determined by flow cytometric analysis. The vehicle (0.2 % DMSO) was used as a control (CTL). The
data are reported as the mean ± S.E.M. from three independent experiments, each performed in duplicate. * P < 0.05 compared to CTL by Student’s t test. MFI: Mean
fluorescence intensity.
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Fig. 5. Quantification of the levels of active caspase-3 (A and B) and cleaved PARP (Asp214) (C and D) in HepG2 cells after 24 h of incubation with 4 μM RCT, as
determined by flow cytometric analysis. (E) Survival curves of WT SV40 MEFs and BAD KO SV40 MEFs upon treatment with 5-fluorouracil (5-FU, used as a positive
control) and RCT. The curves were obtained from at least three independent experiments performed in duplicate using the Alamar blue assay after 72 h of incubation.
(F) Cell cycle distribution of WT SV40 MEFs and BAD KO SV40 MEFs after 48 h of incubation with 40 μM 5-FU or 2 μM RCT. The vehicle (0.2 % DMSO) was used as a
control (CTL). The data are reported as the mean ± S.E.M. from three independent experiments, each performed in duplicate. * P < 0.05 compared to CTL by oneway ANOVA followed by Dunnett’s multiple comparisons test or Student’s t test. MFI: Mean fluorescence intensity.
apoptotic cell death by RCT in HepG2 cells.
Since mouse embryonic fibroblasts (MEFs) are good models for
studying gene knockout functions [37,38], the role of the proapoptotic
protein BAD in RCT-induced cell death was also investigated using
immortalized MEFs generated from Bad gene-knockout (BAD-KO SV40
MEFs) and the parental cell line wild-type (WT SV40 MEFs). However,
RCT was able to induce cell death independent of the BAD protein
(Fig. 5E and F).
Next, we evaluated whether RCT could modulate autophagy. The
protein expression levels of the autophagy markers LC3B and p62/
SQSTM1 were quantified in RCT-treated HepG2 cells. After 24 h of in
cubation, RCT treatment increased the level of LC3B (Fig. 6A), as
observed by flow cytometry analyses, and decreased the level of p62/
SQSTM1 (Fig. 6B and C), as detected by flow cytometry and confocal
microscopy analysis, indicating the induction of autophagy by RCT in
HepG2 cells. In addition, autophagic vacuoles were found in RCTtreated HepG2 cells by MET analysis (Fig. 6D).
As mt-Keima-expressing MEFs are useful models for monitoring
mitophagy [39], a type of autophagy-mediated selective mitochondrial
degradation, wild-type MEFs transfected with mt-Keima were used to
investigate whether RCT could induce mitophagy. Compared with the
negative control, 2 μM RCT increased mitophagy events after 24 (Fig. 7A
and B) and 48 (Fig. 7C and D) h of incubation. The positive controls
acetoacetate [29] and galactose [30] also increased mitophagy events.
Considering that autophagy has pleiotropic effects in cancer [40], we
investigated whether RCT-induced autophagy was related to its cyto
toxicity in HepG2 cells. Therefore, we initially investigated whether an
autophagy inhibitor was able to prevent its cytotoxic effect. Chloro
quine, a lysosomotropic agent that prevents autophagosome-lysosome
fusion in late-stage autophagy [41], was used to inhibit autophagic
flux in RCT-treated HepG2 cells, and cell viability was measured after
48 h of incubation. Interestingly, chloroquine partly prevented
RCT-induced cell death in HepG2 cells (Fig. 8A and B), indicating that
RCT induces autophagy-mediated cell death.
Moreover, the role of autophagy in RCT-induced cell death was
examined in Atg5-/- MEFs, which are MEFs with Atg5 gene knockout, and
parental wild-type MEFs [42], as well as in PentaKO HeLa cells, which
are human cervical adenocarcinomas with five autophagy receptor
knockouts (TAX1BP1, NDP52 [also known as CALCOCO2], NBR1,
p62/SQSTM1, and OPTN), and parental wild-type HeLa cells [43].
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Biomedicine & Pharmacotherapy 177 (2024) 117059
Fig. 6. Quantification of LC3B (A) and p62/SQSTM1 (B) expressions in HepG2 cells after 24 h of incubation with 4 μM RCT, as determined by flow cytometric
analysis. The vehicle (0.2 % DMSO) was used as a control (CTL). The data are reported as the mean ± S.E.M. from three independent experiments, each performed in
duplicate. * P < 0.05 compared to CTL by Student’s t test. MFI: Mean fluorescence intensity. (C) Representative immunofluorescence images of p62/SQSTM1 in
HepG2 cells after 24 h of incubation with 4 μM RCT. Scale bar = 25 μm. (D) Representative MET images of HepG2 cells after 12 h of incubation with 4 μM RCT. Black
asterisks represent empty vacuoles, and red asterisks represent autophagic vacuoles. Scale bar = 2 μm.
potential. Previously, Ru(II)-based complexes containing 2-thiouracil
derivatives were shown to inhibit HepG2 cell motility [19]. Poly
pyridyl Ru(II) complexes have also been reported to inhibit migration
and invasion potential in melanoma and breast cancer cells [50], while
Ru(II) carbonyl complexes reduce migration and invasion in HepG2 cells
[51], and a ruthenium complex with 5-fluorouracil [46] and a
ruthenium-xanthoxylin complex [47] reduce migration and invasion in
colorectal cancer cells.
In addition, RCT has been reported to be a topoisomerase IB enzyme
inhibitor [21] that causes ERK1/2-mediated apoptosis via a ROS- and
p53-independent pathway in HepG2 cells [22]. In this work, the ability
of RCT to suppress Akt/mTOR signalling was also demonstrated. Curi
ously, drugs targeting Akt/mTOR signalling have been reported to
eradicate CSCs [9,10,12,19,46,47].
A Ru(II)-tetrazolate arene complex inhibited PI3K/Akt/ERK signal
ling in colorectal cancer cells, promoting greater sensitivity to regor
afenib cytotoxicity [52], while a Ru(II)-xanthoxylin complex induced
ERK1/2-mediated apoptosis in HepG2 cells via a p53-independent
mechanism [14]. Bomfim et al. [16] reported that Ru(II) complexes
with 6-methyl-2-thiouracil induce DNA double-strand breaks and
trigger caspase-mediated apoptosis through the JNK/p38 pathway in
leukaemia cells. The ruthenium complex with 5-fluorouracil inhibited
Akt/mTOR signalling in colorectal cancer cells [46], while the Ru
(II)-xanthoxylin complex suppressed the HSP90 chaperone in colo
rectal cancer cells [47].
In addition to apoptosis, RCT also induces autophagy, including
mitophagy. The ability of RCT to induce apoptosis has been previously
reported [22]; however, RCT-induced autophagy has never been
explored. Although autophagy is a biological process of survival, it has
also been characterized as a mechanism of cell death [40,53,54]. The
Nomenclature Committee on Cell Death (NCCD) describes autophagy as
Wild-type MEFs (Supplementary Figure 6) and wild-type HeLa cells
(Supplementary Figure 7) were more sensitive to RCT-induced cyto
toxicity than their mutant cell lines, Atg5-/- MEFs and PentaKO HeLa
cells, respectively, corroborating that RCT induces autophagy-mediated
cell death.
Moreover, wild-type HeLa cells treated with chloroquine, bafilomy
cin A1 (a lysosomotropic agent that prevents fusion between autopha
gosomes and lysosomes in the final stage of autophagy) or 3-MA (an
early-stage autophagy inhibitor that blocks autophagosome formation
by inhibiting PI3K) [41] became less sensitive to RCT-induced cyto
toxicity (Supplementary Figure 8). All these data corroborate that cell
death induced by RCT is, at least in part, mediated by autophagy.
4. Discussion
Herein, we demonstrated that RCT displays potent cytotoxicity to
solid and haematological cancer cell lines, causes the elimination of
hepatic CSCs from HepG2 cells, inhibits HepG2 cell motility, suppresses
Akt/mTOR signalling and induces apoptotic and autophagic cell death
in HepG2 cells. The ability of RCT to suppress hepatic CSCs, target Akt/
mTOR signalling and cause autophagic cell death in HepG2 cells was
reported for the first time in this study.
As mentioned above, RCT is a novel ruthenium complex containing a
1,3-thiazolidine-2-thione ligand that has been previously reported to
have potent cytotoxic effects on cancer cells of different histological
types [20–22]. Here, we report that this molecule can suppress hepatic
CSCs. Previously, several different ruthenium complexes were reported
to inhibit colorectal CSCs [44–47], glioma CSCs [48], breast CSCs [44],
pancreatic CSCs [49], and hepatic CSCs [19].
CSCs exhibit cell motility and metastatic potential [34]. Interest
ingly, RCT inhibited HepG2 cell motility, indicating its antimetastatic
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S.P. Neves et al.
Biomedicine & Pharmacotherapy 177 (2024) 117059
Fig. 7. Quantification of mitophagy in wild-type MEFs expressing mt-Keima after 24 (A and C) and 48 (B and D) h of incubation with 2 μM RCT. Culture medium
containing glucose was used as a negative control (CTL). Galactose (GAL) and acetoacetate (ACA) media were used as positive controls. Scale bar = 20 μm. The data
are displayed as cell popular violin plots from three independent repeats, each performed in duplicate. * P < 0.05 compared to CTL by one-way ANOVA followed by
Dunnett’s multiple comparisons test.
controlled cell death that is mechanically dependent on the autophagic
machinery or its components to induce cell death. Therefore,
autophagy-mediated cell death can be restored or prevented by phar
macological or genetic manipulation [40,54].
Herein, we demonstrated that RCT modulates the autophagy
markers LC3B and p62/SQSTM1 in HepG2 cells and increases mitoph
agy events in a mt-Keima-transfected MEF model and that the cytotox
icity of RCT was partially prevented by autophagy inhibitors. In
addition, mutant Atg5-/- MEFs and PentaKO HeLa cells are less sensitive
to RCT cytotoxicity than their parental cell lines, indicating that RCT
induces autophagy-mediated cell death. RCT reduced the levels of
mTOR phosphorylated at Ser 2448, a negative modulator of autophagy
[40], in HepG2 cells, suggesting that the ability of RCT to promote
autophagy is due to its ability to regulate mTOR phosphorylation.
Interestingly, the induction of autophagic cell death has been described
as a target for the eradication of CSCs [40], indicating that RCT-induced
autophagic cell death may contribute to its ability to eliminate CSCs.
Taken together, these data indicate that RCT is a novel potential antiliver cancer drug that suppresses CSCs by targeting Akt/mTOR signal
ling and causing apoptotic and autophagic cell death.
relevant guidelines and regulations.
CRediT authorship contribution statement
Alzir A. Batista: Writing – review & editing, Visualization, Super
vision, Project administration, Funding acquisition, Data curation,
Conceptualization. Daniel P. Bezerra: Writing – review & editing, Su
pervision, Project administration, Funding acquisition, Conceptualiza
tion. Larissa M. Bomfim: Writing – review & editing, Visualization,
Validation, Investigation, Formal analysis. Viktor I. Korolchuk:
Writing – review & editing, Visualization, Supervision, Project admin
istration, Funding acquisition, Data curation, Conceptualization. Sara P.
Neves: Writing – review & editing, Visualization, Validation, Investi
gation, Formal analysis, Conceptualization. Sabrine G. Carvalho:
Writing – review & editing, Visualization, Validation, Investigation,
Formal analysis. Tetsushi Kataura: Writing – review & editing, Visu
alization, Investigation, Formal analysis, Data curation. Rosane B. Dias:
Writing – review & editing, Visualization, Methodology, Investigation,
Formal analysis, Data curation. Mateus L. Nogueira: Writing – review
& editing, Visualization, Validation, Investigation, Formal analysis.
Clarissa A. Gurgel Rocha: Writing – review & editing, Visualization,
Validation, Supervision, Project administration, Investigation, Funding
acquisition, Conceptualization. Ludmila de F. Valverde: Writing – re
view & editing, Visualization, Methodology, Investigation, Formal
analysis. Monize M. da Silva: Writing – review & editing, Visualization,
Investigation, Formal analysis, Data curation. Milena B. P. Soares:
Writing – review & editing, Visualization, Supervision, Project admin
istration, Funding acquisition, Conceptualization.
Ethics approval and consent to participate
For human samples, the Research Ethics Committee of the Oswaldo
Cruz
Foundation
(Salvador,
Bahia,
Brazil)
(CAAE
16220713.2.0000.0040) approved the protocols. All subjects provided
signed informed consent prior to the use of these clinical materials for
research purposes. All methods were performed in accordance with the
9
S.P. Neves et al.
Biomedicine & Pharmacotherapy 177 (2024) 117059
Fig. 8. Effect of chloroquine (an autophagy inhibitor) on RCT-induced cell death in HepG2 cells. (A) Representative flow cytometric dot plots. (B) Quantification of
viable (annexin V-FITC/PI double-negative cells), apoptotic (annexin V-FITC-positive cells/PI-negative cells plus annexin V-FITC/PI double-positive cells), and
necrotic (annexin V-FITC-negative cells/PI-positive cells) cells. The cells were pretreated with 40 µM chloroquine and then incubated with 4 µM RCT for 48 h. The
vehicle (0.2 % DMSO) was used as a control (CTL). The data are reported as the mean ± S.E.M. from three independent experiments, each performed in duplicate. * P
< 0.05 compared to CTL by Student’s t test. # P < 0.05 compared to the respective treatment without inhibitor by Student’s t test.
Declaration of Competing Interest
and microscopy cores for collecting flow cytometric data and acquiring
confocal microscopy and MET data, respectively.
The authors declare the following financial interests/personal re
lationships which may be considered as potential competing interests:
VIK is a scientific advisor for Longaevus Technologies. All other authors
declare no competing interests.
Financial support
This work received financial support and fellowships from the Bra
zilian agencies Coordenação de Aperfeiçoamento de Pessoal de Nível
Superior (CAPES, code 001), Conselho Nacional de Desenvolvimento
Científico e Tecnológico (CNPq, 307619/2021-4), Fundação à Pesquisa
do Estado de São Paulo (FAPESP), Fundação à Pesquisa do Estado da
Bahia (FAPESB), and Fundação Oswaldo Cruz (Programa INOVAFIOCRUZ, VPPCB-007-FIO-18). TK received a fellowship from the
Uehara Memorial Foundation and the International Medical Research
Foundation (Japan).
Data availability
Data will be made available on request.
Acknowledgements
The authors would like to thank the FIOCRUZ-Bahia flow cytometry
10
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Biomedicine & Pharmacotherapy 177 (2024) 117059
Appendix A. Supporting information
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