- 1Graduate Institute of Medical Sciences, College of Medicine, National Defense Medical University, Taipei, Taiwan
- 2Department of Nursing, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan
- 3Graduate Institute of Biochemistry, College of Biomedical Sciences, National Defense Medical University, Taipei, Taiwan
Introduction: Endometrial cancer has the highest incidence among gynecologic malignancies, with a global prevalence of 10–20%. Type II tumors are generally high-grade and recurrent. Combination chemotherapy can provide synergistic effects to combat drug resistance. The potential of using disulfiram (DSF) and copper (I or II) complexes for combination therapy remains unclear.
Methods: The cytotoxic effects of DSF, copper (I or II), and the DSF/copper complex were evaluated in two human endometrial cancer cell lines, RL95–2 and HEC-1-A, using cell viability analysis, combination index analysis, flow cytometry, immunocytochemical methods, and western blotting.
Results: CuCl2, unlike CuCl, acted synergistically with DSF to induce cytotoxicity in HEC-1-A cells, while both CuCl2 and CuCl showed synergy with DSF in RL95–2 cells. The DSF–Cu+/Cu2+ complexes induced apoptosis, lipid peroxidation, autophagy, DNA damage, and ER stress in both cell lines. The complexes increased cytosolic and mitochondrial ROS in HEC-1-A but not in RL95–2 cells. The DSF/Cu+ complex, but not DSF/Cu2+, caused mitochondrial depolarization in both lines. In combination with cisplatin or doxorubicin, only the DSF/Cu+ complex synergized with doxorubicin in RL95–2 cells. Except for CuCl with cisplatin or doxorubicin in RL95-2, DSF, CuCl, and CuCl2 synergized with these drugs in both cell lines.
Discussion: These findings indicate differential effects of CuCl and CuCl2 when complexed with DSF in human endometrial cancer cells. Given the pressing need for innovative approaches to tackle endometrial cancer, we believe our findings contribute valuable insights into the molecular interactions and therapeutic potentials of DSF/copper complexes.
1 Introduction
Endometrial cancer has the highest incidence among gynecologic malignancies, with a global prevalence estimated at 10–20% (1). Typically, the lesions are confined to the uterus, and the standard treatment involves primary hysterectomy and bilateral salpingo-oophorectomy, along with adjuvant radiotherapy and chemotherapy for patients with risk factors (2). The most common tumors (type I) are usually low-grade, endometrioid-type, and estrogen-dependent tumors and are often associated with an excellent prognosis. In contrast, type II tumors, including serous, undifferentiated, and clear cell types, are generally high-grade tumors and have a tendency to recur, even when treated early (3). Precision in chemotherapy is crucial to prevent severe complications, particularly for individuals with type II endometrial cancer requiring prolonged salvage chemotherapy for cancer recurrence. In clinical practice, it has been suggested that the significance of combination chemotherapy lies in its potential to achieve synergistic effects and minimize drug doses for enhanced treatment specificity in these patients or to overcome chemotherapeutic drug resistance (4).
Reactive oxygen species (ROS) encompass hydrogen peroxide (H2O2), the superoxide anion (O2.), and the hydroxyl radical (OH.) (5, 6). The major endogenous sources of ROS include the mitochondria respiratory chain, NADPH oxidase, and peroxisomes (7). In recent years, extensive research has focused on the role of oxidative stress, which is characterized by an imbalance between ROS and antioxidants, in the pathophysiology of malignant transformation in endometriosis (8–11). However, the oxidant/antioxidant imbalance has dual effects as it can promote both carcinogenesis and cancer cell death. A moderate increase in ROS levels favors cell proliferation and survival. Yet, when ROS levels surpass a certain threshold, they may exceed the cell’s antioxidant capacity and induce cell death by oxidizing cellular macromolecules, such as lipids, nucleic acids, and proteins (12). Mounting evidence indicates that cancer cells demonstrate elevated intrinsic ROS stress due to metabolic abnormalities and oncogenic signaling [6]. Increased ROS levels activate redox signaling, which is essential for survival, and promote tumorigenesis; however, cancer cells also uphold an active antioxidant defense system to shield themselves from ROS-induced cell death (13). Interestingly, the current chemotherapeutic drugs induce higher ROS stress to surpass the anti-oxidative capacity of cancer cells, thereby leading to cell death (14, 15).
Copper (Cu+/Cu2+) homeostasis in cancers is increasingly recognized as an appealing target for anti-cancer drug development (16, 17). Numerous studies have suggested that the levels of copper in both serum and tumor tissues are significantly elevated in cancer patients compared to healthy individuals. Two primary approaches have been tested in both preclinical and clinical settings, including the use of copper chelators to reduce the bioavailability of copper and copper ionophores to increase intracellular copper levels to maintain (decrease via chelators or increase via transporters) the intracellular level of copper (18). The Fenton reaction, catalyzed by copper as well as iron (Fe2+/Fe3+), produces reactive hydroxyl radicals, leading to significant oxidative damage (19). Elevated oxidative stress results in protein oxidation, releasing copper ions from proteins and reducing levels of glutathione-bound Cu+. Cu2+ is then reduced by cellular reductants such as superoxide (O2-) and hydro-ascorbate to complete the catalytic cycle (20). Excessive copper ions may displace other metals from their native ligands in crucial enzymes, leading to impaired enzymatic activities, including specific prolyl hydroxylases that are responsible for the degradation of hypoxia-inducible factor-1 alpha protein (21). The binding of Cu+ to the MEK-1 protein stimulates the MEK1-dependent phosphorylation of ERK1/2, ultimately promoting tumor proliferation through the MAPK pathway. The role of copper, particularly its function in human endometrial cancer cells, warrants further investigation.
Disulfiram (DSF) has been used for about 70 years as the most well-known irreversible inhibitor of aldehyde dehydrogenase (ALDH) (22, 23). Beyond ALDH inhibition, DSF has attracted attention as a drug-repurposing candidate in oncology because its anticancer activity can be markedly potentiated by copper. DSF is rapidly converted to diethyldithiocarbamate (DDC), which chelates copper to form bioactive copper–dithiocarbamate complexes (e.g., Cu(DDC)2/CuET) (24). DSF/Cu has been reported to act as a copper ionophore that elevates intracellular copper and triggers copper-dependent oxidative stress, thereby pushing cancer cells beyond their antioxidant capacity (25). In parallel, DSF-derived CuET has been shown to disrupt proteostasis by targeting components of the p97/VCP segregase pathway, including binding to NPL4, leading to proteotoxic stress and cancer cell death (26). Consistent with a copper-dependent anticancer mode of action, DSF complexed with Cu2+ is generally more cytotoxic than DSF alone, and DSF complexes with other metals have been reported to lack comparable cytotoxicity, suggesting copper specificity. Importantly, several studies suggest that DSF/Cu may exhibit context-dependent tumor selectivity. For example, clonogenic survival assays showed that DSF (50–150 nM) combined with physiological copper levels (15 μM CuSO4) was selectively toxic to H292 NSCLC cells compared with normal human bronchial epithelial cells (27). In breast models, DSF–Cu was reported to potently inhibit proteasomal activity in cancer cells but not in normal immortalized MCF10A cells prior to apoptosis induction (28). DSF shows promise as a drug for cancer treatment due to its easy availability, cost-effectiveness, and lower adverse effects compared to traditional drugs. Another important characteristic of DSF is its potential to serve as a promising approach to proteasome inhibition. Additionally, DSF can suppress various cancer-associated pathways, including ROS, PIK, MAPK, NF-κB, ALDH, EGFR/Src/VEGF, and others (29–31). The current therapeutic use of DSF involves its role as a metal chelator that is primarily complexed with Cu2+ (32). Complexes of DSF with Fe2+, Co2+, Mg2+, Ni2+, or Mn2+ did not suppress cell viability as DSF/Cu2+ did, indicating that the cytotoxic effect of the DSF/Cu complex seems to be copper-specific (33). However, the effects of DSF complexes with Cu+ need to be investigated in human endometrial cancer cells.
Cisplatin is a widely used chemotherapeutic drug that functions by crosslinking with the N7 of guanine in DNA and inducing ROS, leading to cell death (34). Although cisplatin is effective as a cytotoxic drug for RL95–2 cells, it does not show the same effectiveness for HEC-1-A cells, regardless of the p53 status (35). This suggests the presence of an alternative pathway to cell death in p53-negative cells which is potentially associated with levels of estrogen receptor alpha and the status of PTEN. Managing type II or recurrent endometrial cancer presents a challenge due to the lack of an effective chemotherapy regimen (36). The current approach for cisplatin-refractory and cisplatin-resistant tumors involves using other monotherapies, such as gemcitabine, topotecan, liposomal doxorubicin with or without trabectedin, or paclitaxel (37, 38). Given the involvement of various genes and signaling pathways in the pathogenesis of endometrial cancer, targeting ROS appears to be a rational therapeutic approach. The repurposing of the DSF/copper complex as a therapeutic strategy could potentially help to overcome chemotherapy resistance during cancer therapy.
In this study, we administered the DSF/copper complex to type I and type II endometrial cancer cells to investigate the cytotoxic effects of Cu+, Cu2+, DSF, and their complexes with Cu+ or Cu2+ and to determine whether they acted synergistically with chemotherapeutic drugs such as cisplatin and doxorubicin. Our work not only elucidates the mechanisms underlying the cytotoxicity of these compounds and their complexes but also highlights the potential application of this complex in current chemotherapy treatments for endometrial cancer patients.
2 Materials and methods
2.1 Cell culture and chemicals
Human endometrial carcinoma RL95-2 (ATCC®CRL-1671™) and HEC-1-A (ATCC®HTB-112™) cell lines were purchased from the American Type Culture Collection (ATCC; Manassas, VA, USA). The RL95–2 cells were cultivated in Dulbecco’s Modified Eagle’s Medium Nutrient Mixture F-12 (DMEM/F12). The HEC-1-A cells were cultivated in McCoy’s 5A medium supplemented with 10% fetal bovine serum (FBS) and 1% penicillin–streptomycin (Thermo Fisher Scientific, Waltham, MA, USA). N-acetyl cysteine (NAC), copper (II) chloride (CuCl2), 2′,7-dichlorofluorescein diacetate (DCFH-DA), disulfiram (DSF), Erastin, hydrogen peroxide (H2O2), propidium iodide (PI), and thiazolyl blue tetrazlium bromide (MTT) were obtained from Sigma Aldrich (St. Louis, MO, USA). Copper (I) chloride (CuCl) was obtained from Alfa Aesar (Tewksbury, MA, USA).
2.2 Cell survival analysis
The RL95-2 (8x103) and HEC-1-A (5 × 103) cells were plated in 96-well plates and cultured in the presence of the indicated drugs. The cells were then incubated with MTT solution (0.5 mg/mL in PBS) for 1 h at 37°C, after which dimethyl sulfoxide (100 μl) was added, and the absorbances at 570 nm and 650 nm were measured using a plate reader (Multiskan EX, Thermo, Waltham, MA, USA). The combination index (CI) was calculated using CalcuSyn (Biosoft, Cambridge, UK) to generate the isobologram as previously described (39). In general, CI < 1 indicates a synergistic combination effect, and CI > 1 indicates an antagonistic combination effect (40).
2.3 Apoptosis, cell cycle profiles, cytosolic/mitochondrial ROS, lipid peroxidation, and autophagy analyses
Early- and late-stage apoptotic cells were evaluated using a fluorescein phycoerythrin (PE) Annexin V Apoptosis Detection Kit (BD Biosciences, Franklin Lakes, NJ, USA) according to the manufacturer’s protocol. RL95-2 (6x105) and HEC-1-A (3x105) cells were plated in 6-well plates and cultured in the presence of either DSF, CuCl, CuCl2, or a combination of DSF with CuCl or CuCl2. The cells were stained with 5 μl PE Annexin V and 5 μl 7-amino-actinomycin (7-AAD) (5 μg/mL), which enabled identification of the early apoptotic cells. The viable cells were PE Annexin V- and 7-AAD-negative; the early apoptotic cells were PE Annexin V-positive and 7-AAD-negative; and the late apoptotic and dead cells were both PE Annexin V- and 7-AAD-positive.
The cell cycle profiles were evaluated based on cellular DNA content using FACSCalibur flow cytometry. RL95-2 (6x105) and HEC-1-A (3x105) cells were plated in 6-well plates and cultured in the presence of either DSF, CuCl, CuCl2, or a combination of DSF with CuCl or CuCl2. The cells were fixed in 70% ice-cold ethanol and stored at −30°C overnight, after which they were washed twice with ice-cold PBS supplemented with 1% FBS and stained with propidium iodide (PI) solution (5 μg/mL PI in PBS, 0.5% Triton x-100, and 0.5 μg/mL RNase A) for 30 min at 37 °C in the dark. The cell-cycle distribution was then evaluated using FACS, based on cellular DNA content.
The fluorescent markers DCFH-DA and MitoSOX™ Red (Invitrogen, Carlsbad, CA, USA) were used to determine the intracellular and mitochondrial ROS levels, respectively. RL95-2 (6x105) and HEC-1-A (3x105) cells were plated in 6-well plates and cultured in the presence of either DSF, CuCl, CuCl2, or a combination of DSF with CuCl or CuCl2. The cells were incubated for the indicated times with different combinations of DSF–Cu+/Cu2+ complexes. The living cells were then stained with DCFH-DA (10 μM) and MitoSOX™ (5 μM) Red for 30 min at 37 °C and harvested. After washing the cells once with PBS, they were evaluated using a FACSCalibur flow cytometer and Cell Quest Pro software (BD Biosciences, Franklin Lakes, NJ, USA).
The lipid peroxidation levels were measured using C11-BODIPY dye (D3861, ThermoFisher Scientific, Waltham, MA, USA) with flow cytometry, following the manufacturer’s instructions. RL95-2 (6x105) and HEC-1-A (3x105) cells were plated in 6-well plates and cultured in the presence of either DSF, CuCl, CuCl2, or a combination of DSF with CuCl or CuCl2. The cells were seeded and treated with the indicated drug in six-well plates for the indicated time. Subsequently, the medium was replaced with 10 µM C11-BODIPY-containing medium for 1 hour. After incubation, the cells were harvested using trypsin, washed three times with ice-cold PBS, and then re-suspended in PBS with 1% BSA. The lipid peroxidation levels within the cells were assessed using a FACSCalibur flow cytometer and Cell Quest Pro software.
The autophagy flux was measured using DALGreen (D675, Dojindo Molecular Technologies, Kumamoto, Japan). RL95-2 (6x105) and HEC-1-A (3x105) cells were plated in 6-well plates and cultured in the presence of either DSF, CuCl, CuCl2, or a combination of DSF with CuCl or CuCl2. After drug treatment, the cells were washed three times with PBS and then incubated with 1 μM DALGreen in the culture medium for 1 hour at 37°C. After washing three times with PBS, the fluorescence intensity was evaluated using a FACSCalibur flow cytometer and Cell Quest Pro software.
2.4 Immunocytochemistry
Immunocytochemical analysis was performed with RL95-2 (1.5x105) and HEC-1-A (8x104) cells adhered to cover slips in 24-well plates. After treatment with the indicated drug, the cells were fixed for 10 min in 4% formaldehyde, incubated for 10 min in 0.1% Triton X-100 solution, washed 3 times in PBS, and treated for 1 h at room temperature with 1% BSA. Thereafter, the cells were incubated with anti-TOM20 antibody at 4°C overnight. The next day, the cells were washed with PBS and incubated for 1 h with FITC-conjugated secondary antibody. The cell nuclei were stained with DAPI. The mitochondrial morphology was observed using a THUNDER Imager microscope equipped with a 100× objective (Leica, Wetzlar, Germany).
2.5 Mitochondrial membrane potential analysis
The RL95-2 (6x105) and HEC-1-A (3x105) cells were seeded into 6-well plates and cultured in the presence of either DSF, CuCl, CuCl2, or a combination of DSF with CuCl or CuCl2. The following day, the cells were treated with the indicated drugs in fresh medium for the specified durations. After treatment, both the dead and viable cells were collected, washed with PBS, and incubated with 1× binding buffer containing the MMP-sensitive fluorescent dye JC-1 for 30 min at 37°C in the dark. Subsequently, the cells were then washed twice with PBS, resuspended in 500 μl of 1× binding buffer, and analyzed using a FACSCalibur flow cytometer and Cell Quest Pro software (BD Biosciences, Franklin Lakes, NJ, USA). The cell-volume gating strategy involved forward scatter height (FSC-H) and side scatter height (SSC-H), and the median fluorescence intensity of the vehicle was used as the starting point for M2 gating. Mitochondrial depolarization was determined from a decrease in the red/green fluorescence intensity ratio.
2.6 Western blotting
The drug-treated RL95-2 (6x105) and HEC-1-A (3x105) cells were lysed in RIPA buffer (100 mM Tris-HCl (pH 8.0), 150 mM NaCl, 0.1% SDS, and 1% Triton 100) at 4°C. The proteins in the resultant lysates were separated using 12% SDS-PAGE, transferring to PVDF membrane, blocked for 1 hour with 5% non-fat milk in 1x TBST, and incubating the membrane with primary antibodies (all at a dilution of 1:1000) at 4°C overnight. The primary antibodies included against mtTFA, PGC-1α, β-actin, p53, p21, CyclinB1, ATF3, p62 (Santa Cruz Biotechnology, Santa Cruz, CA, USA), CHOP, LC3BI/II, PARP (Cell Signaling, Danvers, MA, USA), cyclin D1, γH2AX, (Abcam, Cambridge, UK), and HO-1 (Enzo Life Sciences, Farmingdale, NY, USA). The blots were subsequently incubated with HRP-conjugated secondary antibodies (all at a dilution of 1:10000) (anti-mouse IgG, AP192P; and anti-rabbit IgG, AP132P, Merck-Millipore). The immunoreactive proteins were detected using the ECLTM Western Blotting Detection Reagent and Amersham Hyperfilm™ ECL (GE Healthcare, USA), as previously described (39).
2.7 Statistical analysis
The values are expressed as the mean ± SD of at least three independent experiments. All comparisons between groups were made using Student’s t-tests. Statistical significance was set at p < 0.05.
3 Results
3.1 Effects of copper, DSF, and DSF–Cu+/Cu2+ complexes on cell viability, apoptosis, and cell cycle profile in HEC-1-A and RL95–2 cells
The cytotoxicity of copper and the DSF–Cu+/Cu2+ complexes has previously been documented (25, 41, 42). It was necessary to investigate the cytotoxic effects of Cu+, Cu2+, DSF, or the combination of Cu+ or Cu2+ with DSF in HEC-1-A and RL95–2 cells. Isobologram analysis, which has been mathematically proven and widely used to evaluate drug interactions, was employed (43). This analysis assesses the dose at which two drugs, when used alone, have the same efficacy; this is generally expressed as the half-effective dose (ED50). We designed combinations of concentrations and calculated the combination index (CI) between CuCl (Cu+) or CuCl2 (Cu2+) with DSF in HEC-1-A and RL95–2 cells. We first calculated the value of ED50 for the treatment of CuCl, CuCl2, and DSF alone from the isobologram in HEC-1-A and RL95–2 cells (Figures 1A, B). The ED50 of DSF was 63 nM in the HEC-1-A cells and 57 nM in the RL95–2 cells. The ED50 of Cu+ was 909 µM in the HEC-1 cells and 1.4x107 µM in the RL95–2 cells; the ED50 of Cu2+ was 4.6x107 µM in the HEC-1 cells and 6.4x1024 µM in the RL95–2 cells, suggesting that Cu+ and Cu2+ both had no therapeutic effect on either of the cell lines. The definition of CI<1 as a synergistic effect was observed when the HEC-1-A and RL95–2 cells were treated with the Cu2+/DSF complex. The CI<1 of Cu+/DSF complex was measured in the RL95–2 cells, but not in the HEC-1-A cells. The combination of Cu+ and Cu2+ with DSF apparently decreased the ED50 of Cu+ (170 nM in the HEC-1-A cells and 80 nM in the RL95–2 cells) and Cu2+ (50 nM in the HEC-1-A cells and 100 nM in the RL95–2 cells), along with the decrease in the DSF’s ED50 from 63 nM to 20 nM (Cu2+) and from 57 nM to 32 nM (Cu+) and to 41 nM (Cu2+) in the HEC-1-A and RL95–2 cells, respectively.
Figure 1. Combination index of DSF with CuCl and CuCl2 in HEC-1-A and RL95–2 cells. (A, B) HEC-1-A (3 × 105) and RL95-2 (6 × 105) cells were treated with DSF dose: 0, 0.0625, 0.125, 0.25, 0.5, 1, 2, and 4 µM combined with CuCl dose: 0, 0.03906, 0.07813, 0.15625, 0.3125, 0.625, 1.25, 2.5, 5, and 10 μM or CuCl2 dose: 0, 0.03906, 0.07813, 0.15625, 0.3125, 0.625, 1.25, 2.5, 5, and 10 μM for 24h. Cell viability was measured using the MTT method. Fraction affected values (indicating the fraction of cells inhibited after drug exposure) were obtained after exposure of the cells to a series of drug concentrations. Isobolograms were also constructed by plotting drugs concentrations (alone and in combination) that inhibits 50% cell viability. The combination index and Isobolograms (ED50) were calculated using CalcuSyn software.
Elevated copper concentrations have been found to correlate with the cancer stage and/or progression in various types of tumors (44). The cytotoxicity of copper has been observed under both physiological and pathological conditions. For instance, the IC50 of copper sulfate was found to be 225–300 μM in HeLa cells (45). However, as demonstrated in Figure 1, Cu+ and Cu2+ had no discernible therapeutic effect in the HEC-1-A and RL95–2 cells. Several studies have supported the varying cytotoxic effects of different concentrations of DSF and Cu+/Cu2+ in cancer cells (33, 46). Hence, we examined the differential combinations of DSF and Cu+/Cu2+ using the Annexin V-apoptotic analysis (Figure 2). Firstly, we examined the induction of apoptosis with 0.5 μM DSF complexed with 5 μM Cu+ or 200 μM Cu2+ in the HEC-1-A and RL95–2 cells (Figure 2, top panels). With the exception of Cu2+ in the HEC-1-A cells, the total apoptotic populations were only induced by the combination of DSF and Cu+ or Cu2+ in both cell lines in the 5 h treatment. Next, the combinations of relatively lower concentrations of DSF and Cu+ or Cu2+ were applied in the Annexin V-apoptotic analysis (Figure 2, bottom panels). The induction of total apoptotic populations was observed in the HEC-1-A cells treated with 0.2 μM DSF complexed with 1 μM Cu+ or 0.2 μM Cu2+and the RL95–2 cells treated with 0.1 μM DSF complexed with 0.1 μM Cu2+ for 48 h.
Figure 2. Effects of CuCl, CuCl2, and DSF on apoptosis in HEC-1-A and RL95–2 cells. (A) HEC-1-A and (B) RL95-2 (6 × 105) cells were treated with 5 μM CuCl, 200 μM CuCl2, and 0.5 μM DSF for 5 h (C) HEC-1-A (3 × 105) cells were treated with 1 μM CuCl, 0.2 μM CuCl2, and 0.2 μM DSF and (D) RL95–2 cells were treated with 0.1 μM CuCl, 0.1μM CuCl2, and 0.1 μM DSF for 48 h Cellular apoptosis was measured using the Annexin V apoptosis analysis with 7-AAD staining. Early apoptotic cells are PE Annexin V-positive and 7-AAD-negative, while late apoptotic cells are both PE Annexin V-positive and 7-AAD-positive. The results are representative of three independent experiments.
To avoid overly stressful cellular conditions, we further applied 0.2 μM DSF complexed with 1 μM Cu+ or 0.2 μM Cu2+ to the HEC-1-A cells and 0.1 μM DSF complexed with 0.1 μM Cu2+ to the RL95–2 cells for 48 h to address their effects on the cell cycle profile, cytosolic ROS, mitochondrial ROS, and lipid peroxide and ICC analysis. The PI cell cycle profiles were performed using flow cytometry analysis. Our data showed that the combination of DSF with Cu+ or Cu2+ increased the populations of the subG1 and G2/M phase and significantly decreased the population of the G1 phase in the HEC-1-A and RL95–2 cells (Figure 3).
Figure 3. Effects of CuCl, CuCl2, and DSF on the cell cycle of human endometrial cancer cells. (A, B) HEC-1-A (3 × 105) cells were treated with 1 μM CuCl, 0.2 μM CuCl2, and 0.2 μM DSF, and (C, D) RL95-2 (6 × 105) cells were treated with 0.1 μM CuCl, 0.1 μM CuCl2, and 0.1 μM DSF for 48 h Cells were stained with propidium iodide (PI) and analyzed using flow cytometry. Bars depict the mean ± SD of three independent experiments. Student’s t-tests were analyzed and compared with vehicle. *p <0.05 and **p <0.01 (Student’s t-tests).
3.2 Effects of copper, DSF, and DSF–Cu+/Cu2+ complexes on cytosolic ROS, mitochondrial ROS, lipid peroxidation, and autophagy in HEC-1-A and RL95–2 cells
We examined the effect of DSF–Cu+/Cu2+ complexes on cytosolic ROS using flow cytometry analysis with DCFH-DA dye in HEC-1-A and RL95–2 cells (Figures 4A, E). Compared with the hydrogen peroxide positive control, the Cu2+ and DSF–Cu+/Cu2+ complexes elevated cytosolic ROS in the HEC-1-A cells, and the Cu+, Cu2+, DSF, and DSF–Cu+/Cu2+ complexes decreased cytosolic ROS in the RL95–2 cells. We examined the effect of DSF–Cu+/Cu2+ complexes on mitochondrial ROS using MitoSOX dye in HEC-1-A and RL95–2 cells (Figures 4B, F). Compared with the hydrogen peroxide positive control, the Cu+, Cu2+, and DSF–Cu+/Cu2+ complexes significantly elevated mitochondrial ROS in the HEC-1-A cells, and the Cu+, Cu2+, DSF, and DSF–Cu+/Cu2+ complexes decreased cytosolic ROS in the RL95–2 cells. We further examined the effect of DSF–Cu+/Cu2+ complexes on the level of lipid peroxide using C-11 BODIPY dye in HEC-1-A and RL95–2 cells (Figures 4C, G). Compared with the Erastin positive control, the DSF and DSF–Cu+/Cu2+ complexes elevated the level of lipid peroxide in the HEC-1-A cells, and the Cu+, Cu2+, DSF, and DSF–Cu+/Cu2+ complexes all elevated the level of lipid peroxide in the RL95–2 cells. The fluorescence of DALGreen intensifies at acidic pH, making it suitable for monitoring the degradation phase of autophagy, specifically autophagolysosomes (Figures 4D, H). Our data showed that the DSF and DSF–Cu+/Cu2+ complexes induced the formation of autophagosomes in the HEC-1-A and RL95–2 cells. Cu+ was able to form autophagolysosomes in the HEC-1-A cells.
Figure 4. Effects of CuCl, CuCl2, and DSF on cytosolic and mitochondrial ROS levels, lipid peroxidation, and autophagy of human endometrial cancer cells. (A-D) HEC-1-A (3 × 105) cells were treated with 1 μM CuCl, 0.2 μM CuCl2, and 0.2 μM DSF, and (E-H) RL95-2 (6 × 105) cells were treated with 0.1 μM CuCl, 0.1 μM CuCl2, and 0.1 μM DSF. (A, E) Intracellular ROS and (B, F) mitochondrial ROS were assessed after 1.5 h of drug treatment using DCFH-DA and MitoSOX Red staining, respectively. (C, G) Lipid peroxidation and (D, H) autophagy were assessed after 48 h of treatment using C11-BODIPY and DALGreen staining, followed by flow cytometry analysis. Bars depict the mean ± SD of three independent experiments. Student’s t-tests were analyzed and compared with vehicle. *p <0.05, **p <0.01, and ***p <0.001 (Student’s t-tests). The red line was for each basal intensity.
3.3 Effects of copper, DSF, and DSF–Cu+/Cu2+ complexes on mitochondrial dynamics in HEC-1-A and RL95–2 cells
Furthermore, studies have found that mitochondrial dysfunction contributes to the resistance of these tumors to treatment (47–50). It has been demonstrated that mitochondrial dynamics and bioenergetic metabolism play a role in cisplatin resistance. ICC analysis was used to evaluate the effects of Cu+, Cu2+, DSF, and DSF–Cu+/Cu2+ complexes on the fusion–fission status of mitochondria in HEC-1-A and RL95–2 cells (Figure 5). In the HEC-1-A cells, we applied NAC (reduced status) and hydrogen peroxide (oxidized status) to monitor the mitochondrial dynamics via the mitochondrial outer membrane protein TOM20 (Figure 5A). The DSF and DSF–Cu+/Cu2+ complexes favored the oxidized status (fission status), and the others favored the reduced status (fusion status). In the RL95–2 cells, we applied fusion- and fission-specific drugs, Mdivi-1 (fusion status) and MYLS22 (fission status), to compare the effects of Cu+, Cu2+, DSF, and DSF–Cu+/Cu2+ complexes (Figure 5B). Our data showed that the DSF–Cu+/Cu2+ complexes favored the fusion status and that the others favored the fission status.
Figure 5. Effects of CuCl, CuCl2, and DSF on the mitochondrial morphology of human endometrial cancer cells. (A) HEC-1-A (8 × 104) cells were treated with 1 μM CuCl, 0.2 μM CuCl2, and 0.2 μM DSF for 48h. NAC and hydrogen peroxide (H2O2) were the standard of reduced and oxidative status in HEC-1-A cells. (B) RL95-2 (1.5 × 105) cells were treated with 0.1 μM CuCl, 0.1 μM CuCl2, and 0.1 μM DSF for 48 h Mdivi-1 and MYLS22 (20 μM) were the inducers for fusion and fission, respectively, of RL95–2 cells. Immunofluorescence labeling of the cells was performed with TOM20 (green) and DAPI (blue). Images were acquired with Leica Thunder microscope with a 100x objective. Scale bar=10 μm.
Based on the change in the mitochondrial fusion–fission cycle caused by the Cu+, Cu2+, DSF, and DSF–Cu+/Cu2+ complexes, we applied JC-1 dye to measure the mitochondrial membrane potential in HEC-1-A and RL95–2 cells (Figure 6). JC-1 dimers form in mitochondria with red fluorescence, and JC-1 monomers form in the cytoplasm with green fluorescence to measure mitochondrial depolarization, as indicated by an increase in green fluorescence intensity. Our JC-1 data showed that the DSF and DSF–Cu+/Cu2+ complexes increased the green fluorescence intensity in the HEC-1-A and RL95–2 cells, whereas Cu+ and Cu2+ decreased the green fluorescence intensity in the HEC-1-A and RL95–2 cells (Figures 6A–D). Mitochondrial transcription factor A (mtTFA) and peroxisome-proliferator-activated receptor γ co-activator-1α (PGC-1α) are two key mitochondrial respiratory and biogenic factors for mitochondrial respiratory functions (51, 52). Our Western blotting data showed that the Cu+, Cu2+, DSF, and DSF–Cu+/Cu2+ complexes decreased the mtTFA proteins in the RL95–2 cells and that the Cu2+, DSF, and DSF–Cu+/Cu2+ complexes decreased the PGC-1α proteins in the HEC-1-A cells (Figures 6E, F).
Figure 6. Effects of CuCl, CuCl2, and DSF on the mitochondrial membrane potential of human endometrial cancer cells. (A, B) HEC-1-A (3 × 105) cells were treated with 1 μM CuCl, 0.2 μM CuCl2, and 0.2 μM DSF, and (C, D) RL95-2 (6 × 105) cells were treated with 0.1 μM CuCl, 0.1 μM CuCl2, and 0.1 μM DSF for 48 h Mitochondrial membrane potential was assessed using JC-1 staining with flow cytometry. (B, D) The percentages of green fluorescence were plotted. Bars depict the mean ± SD of three independent experiments. #p >0.05, *p <0.05, **p <0.01, and ***p <0.001 (Student’s t-tests). (E, F) Cell lysates were subjected to Western blot analysis using antibodies against mtTFA and PGC-1α. β-actin was the protein loading control. The detailed sample order was lane 1: vehicle; lane 2 DSF; lane 3 CuCl; lane 4 CuCl2; lane 5 DSF with CuCl; lane 6 DSF with CuCl2. The protein bands were quantified through pixel density scanning and evaluated using ImageJ, version 1.44a (http://imagej.nih.gov/ij/) (accessed on 10 July 2024). The ratios of protein/β-actin were listed in the HEC-1-A and RL95–2 cells.
3.4 Effects of copper, DSF, and DSF–Cu+/Cu2+ complexes on proteins related to cell stresses in HEC-1-A and RL95–2 cells
We further examined cell cycle and cellular stress proteins using Western blotting analysis (Figure 7). We first examined proteins related to the cell cycle profile, including p53, p21, cyclin D1, and cyclin B1. Our data showed that p53 proteins were decreased by the DSF and DSF–Cu+/Cu2+ complexes; p21 proteins were increased by the DSF–Cu+/Cu2+ complexes; and cyclin D1 and cyclin B1 proteins were decreased by the DSF and DSF/Cu2+ complex in the HEC-1-A cells. In the RL95–2 cells, p53 proteins were increased by the DSF and DSF–Cu+/Cu2+ complexes, and p21 proteins were decreased by Cu2+, DSF, and the DSF/Cu+ complex. These cellular stress proteins were examined, including the DNA damage biomarker (γH2AX), oxidative stress biomarkers (ATF3 and HO-1), ER stress biomarker (CHOP), autophagy biomarkers (p62 and LC3BII), and apoptosis biomarker (cleaved PARP). In the HEC-1-A cells, γH2AX, CHOP, p62, and LC3BII proteins were increased by the DSF and the DSF–Cu+/Cu2+ complexes, and ATF3 and HO-1 proteins were increased by the DSF–Cu+/Cu2+ complexes. In the RL95–2 cells, the γH2AX, HO-1, CHOP, p62, and cleaved PARP proteins were increased by the DSF and DSF–Cu+/Cu2+ complexes.
Figure 7. Effects of CuCl, CuCl2, and DSF on the cell cycle and cell stress-related proteins of human endometrial cancer cells. HEC-1-A (3 × 105) cells were treated with 1 μM CuCl, 0.2 μM CuCl2, and 0.2 μM DSF, and RL95-2 (6 × 105) cells were treated with 0.1 μM CuCl, 0.1 μM CuCl2, and 0.1 μM DSF for 48 h. The detailed sample order was lane 1: vehicle; lane 2 DSF; lane 3 CuCl; lane 4 CuCl2; lane 5 DSF with CuCl; lane 6 DSF with CuCl2. Cell lysates were subjected to Western blot analysis using antibodies against the indicated proteins. β-actin was the protein loading control. The protein bands from were quantified through pixel density scanning and evaluated using ImageJ, version 1.44a (http://imagej.nih.gov/ij/) (accessed on 10 July 2024). The ratios of protein/β-actin and LC3bII/LC3BI were listed in the HEC-1-A and RL95–2 cells.
3.5 The combination index of copper, DSF, and DSF–Cu+/Cu2+ complexes with cisplatin or doxorubicin in HEC-1-A and RL95–2 cells
As presented in Figure 1, our study demonstrates the synergistic effect on the cytotoxicity of human endometrial cancer cells when DSF is combined with Cu+/Cu2+. Combination chemotherapy is proposed as a way to achieve synergistic effects and minimize drug doses, thereby enhancing treatment specificity for endometrial cancer patients and combating chemotherapeutic drug resistance (4). We conducted an examination to determine whether two commonly used chemotherapeutic drugs, cisplatin and doxorubicin, acted synergistically with DSF–Cu+/Cu2+ complexes in HEC-1-A and RL95–2 cells. Based on the data of Figure 1, we set the DSF/Cu+ (1:1) complex and DSF/Cu2+ (1:1) complex to measure whether they acted synergistically with cisplatin and doxorubicin in HEC-1-A and RL95–2 cells. Our combination index analysis showed that only the DSF/Cu+ complex acted synergistically with doxorubicin in the RL95–2 cells (Figures 8A–D). The CI values of the other combinations were above 1. By comparing Figures 1, 8, we further examined the relationship between Cu+, Cu2+, or DSF and cisplatin and doxorubicin in HEC-1-A and RL95–2 cells. With the exception of the combination of Cu+ and cisplatin or doxorubicin in the RL95–2 cells, the combinations expressed the synergistic effects (Figures 9A–D). In the HEC-1-A cells, the ED50 values of cisplatin were reduced from 134 µM to 5.3 µM, 8.7 µM, and 14.6 µM by DSF, Cu+, and Cu2+, respectively; the ED50 values of doxorubicin were reduced from 1.4 µM to 0.16 µM, 0.6 µM, and 0.29 µM by DSF, Cu+, and Cu2+, respectively (Figures 9A, B). In the RL95–2 cells, the ED50 values of cisplatin were reduced from 5.5 µM to 2.7 µM and 2.3 µM by DSF and Cu2+, respectively; the ED50 values of doxorubicin were reduced from 0.81 µM to 0.25 µM and 0.66 µM by DSF and Cu2+, respectively (Figures 9C, D).
Figure 8. Combination index of DSF/CuCl and DSF/CuCl2 combined with cisplatin or doxorubicin in HEC-1-A and RL95–2 cells. (A, B) HEC-1-A (3 × 105) cells were treated with cisplatin at doses of 0, 1.5625, 3.125, 6.25, 12.5, 25, 50, 100 µM or doxorubicin 0, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1, 2 µM, combined with DSF/CuCl (1:1) or DSF/CuCl2 (1:1) at doses of 0, 0.003906, 0.007813, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, and 1 μM. (C, D) RL95-2 (6 × 105) cells were treated with cisplatin at doses of 0, 0.3125, 0.625, 1.25, 2.5, 5, 10, 20 µM or doxorubicin 0, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1, 2 µM, combined with DSF/CuCl (1:1) or DSF/CuCl2 (1:1) at doses of 0, 0.003906, 0.007813, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, and 1 μM. Cell viability was measured using the MTT method. The combination index and Isobolograms (ED50) were calculated using CalcuSyn software.
Figure 9. Combination index of CuCl, CuCl2, and DSF combined with cisplatin or doxorubicin in HEC-1-A and RL95–2 cells. (A, B) HEC-1-A (3 × 105) cells were treated with DSF at doses of 0, 3.90625, 7.8125, 15.625, 31.25, 62.5, 125, 250, 500, and 1000 nM, CuCl dose: 0, 0.0.03906, 0.07813, 0.15625, 0.3125, 0.625, 1.25, 2.5, 5, and 10 μM, or CuCl2 dose: 0, 0.03906, 0.07813, 0.15625, 0.3125, 0.625, 1.25, 2.5, 5, and 10 μM combined with cisplatin dose: 0, 1.5625, 3.125, 6.25, 12.5, 25, 50, 100 µM or doxorubicin dose: 0, 0.0625, 0.125, 0.25, 0.5, 1, 2, and 4 µM for 24h. (C, D) RL95-2 (6 × 105) cells were treated with DSF at doses of 0, 3.90625, 7.8125, 15.625, 31.25, 62.5, 125, 250, 500, and 1000 nM, CuCl dose: 0, 0.0.03906, 0.07813, 0.15625, 0.3125, 0.625, 1.25, 2.5, 5, and 10 μM, or CuCl2 dose: 0, 0.03906, 0.07813, 0.15625, 0.3125, 0.625, 1.25, 2.5, 5, and 10 μM combined with cisplatin dose: 0, 0.3125, 0.625, 1.25, 2.5, 5, 10, and 20 µM, or doxorubicin dose: 0, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1, 2 µM for 24h. Cell viability was measured using the MTT method. The combination index and Isobolograms (ED50) were calculated using CalcuSyn software.
4 Discussion
Endometrial cancer primarily affects postmenopausal women, who often have comorbidities. The presence of comorbidities is associated with poorer survival among all endometrial cancer patients. Elevated levels of ROS have been demonstrated to trigger autophagy, apoptosis, and mitochondrial dysfunction in cells. We investigated whether DSF, copper ions, or DSF/Cu complexes exert antitumor effects through ROS production in two human endometrial carcinoma cell lines, HEC-1-A (type II) and RL95-2 (type I) cells. To develop effective treatments for endometrial cancer, it is essential to explore the diverse mechanisms through which DSF, CuCl, CuCl2, and DSF–Cu+/Cu2+ complexes, in combination with chemotherapy, can cause a decline in viability and induce cell death in endometrial cancer cells. In this study, our data showed that CuCl2, but not CuCl, acted synergistically with DSF to induce the cytotoxicity of HEC-1-A cells, and CuCl2 and CuCl both acted synergistically with DSF to induce the cytotoxicity of RL95–2 cells. The DSF–Cu+/Cu2+ complexes induced apoptosis, lipid peroxidation, autophagy, DNA damage, and ER stress in the HEC-1-A and RL95–2 cells. The DSF–Cu+/Cu2+ complexes elevated the amounts of cytosolic and mitochondrial ROS in the HEC-1-A cells, but not the RL95–2 cells. The DSF/Cu+ complex, but not the DSF/Cu2+ complex, resulted in mitochondrial depolarization in the HEC-1-A and RL95–2 cells. The combination of cisplatin or doxorubicin with the DSF–Cu+/Cu2+ complexes showed that only the DSF/Cu+ complex acted synergistically with doxorubicin in the RL95–2 cells. With the exception of CuCl combined with cisplatin or doxorubicin in the RL95–2 cells, DSF, CuCl, and CuCl2 each acted synergistically with cisplatin or doxorubicin in the HEC-1-A and RL95–2 cells. In summary, our current findings suggest that the differential effects of CuCl and CuCl2 complexed with DSF in the HEC-1-A and RL95–2 cells. In the RL95–2 cells, the entire valine codon 218 of p53 is deleted, while HEC-1-A cells, respectively, exhibit R248N point mutation (53). These differences might not be mediated through p53 transcriptional activity in endometrial cancer cells. It is a challenge to elucidate the status of copper ions and the context of endometrial cancer cells.
DSF has been shown to inhibit superoxide dismutase, compete with glutathione reductase, and block the ROS scavenging and detoxification mediated by ALDH isozymes. The increased ROS levels and inhibition of ROS scavenging mechanisms render the cells vulnerable to subsequent oxidative stress and further DNA damage, triggering DNA damage response mechanisms. The DSF/Cu complex induced replication stress-associated DNA damage in several cancer cell lines, leading to increased γH2AX levels; this serves as an indicator of DNA double-strand breaks in these cells. The activity of ALDH and the cancer stem cell phenotype have inspired scientists to develop specific ALDH inhibitors with greater clinical potential for the effective suppression of cancer stem cells (CSCs) and the inhibition of tumor progression (54). Additionally, DSF sensitized the cisplatin-resistant ALDH+ stem-like population in ovarian cancer to cisplatin treatment by suppressing ALDH activity and inducing apoptosis (55). Our previous study demonstrated that DSF and DSF/copper complexes failed to elevate the cytosolic and mitochondrial ROS levels independently of their inhibitor activity effect on ALDH enzyme activity in oral cells (46). Our current data showed that CuCl2 and DSF decreased the cytosolic and mitochondrial ROS levels and that the DSF–Cu+/Cu2+ complexes had no effect on these two ROS levels in the RL95–2 cells. Compared with the decline in the ROS level, DSF, CuCl, CuCl2, and the DSF–Cu+/Cu2+ complexes induced lipid peroxidation in the RL95–2 cells. The level of lipid peroxidation is directly related to the status of ROS in cells. The gap between lipid peroxidation and ROS should be clarified in RL95–2 cells. In addition, it should be a useful platform to explain the differential effect of DSF, CuCl, CuCl2, and DSF–Cu+/Cu2+ complexes.
The significant role of copper in facilitating cancer progression and the disruption of copper homeostasis in cancers have been extensively documented in both preclinical and clinical contexts (44). Higher levels of copper and oxidative stress are observed in cancer patients compared to healthy individuals. Copper-mediated oxidation leads to ROS production and subsequent cell death. Our previous study in human cervical cancer cells demonstrated the differential effects of copper (I) and copper (II) on the levels of HIF-1α, p53, p21, and the cPARP fragment, as well as the ability of DSF to counteract the effects of both copper (I) and copper (II). Our current data reveal the distinct functional roles of copper (I) and copper (II), as well as DSF/copper (I) and DSF/copper (II) in human endometrial cells. Studies have indicated that the DSF–Cu (exogenous copper II) complex serves as a more effective antineoplastic adjuvant than DSF alone. However, our current combination index analysis demonstrated that DSF–Cu+/Cu2+ complexes did not interact synergistically with cisplatin or doxorubicin in the HEC-1-A and RL95–2 cells. With the exception of CuCl in the RL95–2 cells, DSF, CuCl, and CuCl2 each exhibited synergistic effects with cisplatin or doxorubicin in both cell lines. Our current ED50 data also indicate that CuCl and CuCl2 alone did not exert apparent cytotoxicity in the HEC-1-A and RL95–2 cells. Therefore, it is crucial to verify the involvement of copper (I or II) in the Fenton reaction using Fenton reaction inhibitors and to confirm the true copper (I or II) status using copper (I or II) probes.
Our current ED50 values for cisplatin were consistent with the concept of the differential responsiveness of RL95–2 and HEC-1-A cells to cisplatin (56). However, we observed the cytotoxicity of DSF complexed with CuCl or CuCl2 and the synergistic effects between DSF, CuCl, and CuCl2, rather than the DSF–Cu+/Cu2+ complexes, with cisplatin or doxorubicin in the HEC-1-A and RL95–2 cells. The synergistic effects exerted by DSF, CuCl, or CuCl2 complexed with cisplatin or doxorubicin were more pronounced in the HEC-1-A cells than in the RL95–2 cells. These findings suggest numerous possibilities, including common and distinct pathways involving DSF, CuCl, and CuCl2 in human endometrial cancer cells. Considering the higher levels of copper in cancer patients compared to healthy subjects (44), it is plausible that chemotherapeutic drugs may perform better in patients with elevated copper levels. Our current findings may contribute to the addressal of the challenge posed by the lack of an efficacious chemotherapy regimen for the management of type II or recurrent endometrial cancer.
Building on our observation that DSF–Cu+/Cu2+ complexes trigger multi-layered stress responses (apoptosis, lipid peroxidation, autophagy, DNA damage, and ER stress) with cell-type–dependent redox phenotypes, including the discordance between ROS readouts and lipid peroxidation in RL95–2 cells and the distinct mitochondrial effects of DSF/Cu+ versus DSF/Cu2+, future studies should prioritize refining copper–redox interpretation and improving translational relevance. First, because “copper status” is a key uncertainty in endometrial cancer contexts, it will be essential to directly verify intracellular Cu+/Cu2+ speciation and Fenton-like redox engagement using copper-valence–selective probes and mechanistic inhibitors (e.g., Fenton reaction inhibitors), as we noted. Second, the unexpected pattern that DSF and copper salts (CuCl/CuCl2) frequently exhibited synergistic effects with cisplatin/doxorubicin, whereas pre-formed DSF–Cu+/Cu2+ complexes were largely non-synergistic (except DSF/Cu+ with doxorubicin in RL95–2 cells), motivates deeper investigation into copper speciation, complex stability/uptake kinetics, and schedule dependence to identify regimens that maximize efficacy while minimizing unnecessary copper-driven liabilities. Third, given that endometrial cancer predominantly affects postmenopausal women with comorbidities, where dose reduction and tolerability are clinically meaningful, future work should quantify the therapeutic window by testing DSF/Cu+/Cu2+ regimens in non-malignant endometrial epithelial and stromal models (and ideally patient-derived organoids/co-cultures) to calculate selectivity indices and guide safer dosing strategies.
In summary, our findings revealed that CuCl2, but not CuCl, interacted synergistically with DSF to induce cytotoxicity in HEC-1-A cells, whereas both CuCl2 and CuCl exhibited synergistic effects with DSF to induce cytotoxicity in RL95–2 cells. The DSF–Cu+/Cu2+ complexes induced apoptosis, lipid peroxidation, autophagy, DNA damage, and ER stress in both HEC-1-A and RL95–2 cells. Furthermore, the DSF–Cu+/Cu2+ complexes elevated cytosolic and mitochondrial ROS levels in HEC-1-A cells but not in RL95–2 cells. The DSF/Cu+ complex, rather than the DSF/Cu2+ complex, resulted in mitochondrial depolarization in both HEC-1-A and RL95–2 cells. When combined with cisplatin or doxorubicin, the DSF–Cu+/Cu2+ complexes showed that only the DSF/Cu+ complex interacted synergistically with doxorubicin in RL95–2 cells. With the exception of CuCl combined with cisplatin or doxorubicin in RL95–2 cells, DSF, CuCl, and CuCl2 each exhibited synergistic effects with cisplatin or doxorubicin in both HEC-1-A and RL95–2 cells. In summary, our current findings suggest distinct effects of CuCl and CuCl2 when complexed with DSF in HEC-1-A and RL95–2 cells. Future studies in relevant in vivo models will be important to validate these findings and further explore the translational potential of DSF–Cu complexes as anticancer therapeutics.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
Author contributions
P-SL: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Validation, Writing – original draft. Z-SW: Data curation, Investigation, Methodology, Validation, Writing – original draft. S-MH: Conceptualization, Formal Analysis, Funding acquisition, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing.
Funding
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by grants from the Ministry of National Defense-Medical Affairs Bureau (MND-MAB 113135, NMD-MAB-114162, NMD-MAB-115178 to S.-M. Huang), and the Teh-Tzer Study Group for Human Medical Research Foundation (B1141022 to S.-M. Huang), Taiwan, Republic of China.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
1. Lortet-Tieulent J, Ferlay J, Bray F, and Jemal A. International patterns and trends in endometrial cancer incidence 1978-2013. J Natl Cancer Inst. (2018) 110:354–61. doi: 10.1093/jnci/djx214
2. Brooks RA, Fleming GF, Lastra RR, Lee NK, Moroney JW, Son CH, et al. Current recommendations and recent progress in endometrial cancer. CA Cancer J Clin. (2019) 69:258–79. doi: 10.3322/caac.21561
3. Setiawan VW, Yang HP, Pike MC, Mccann SE, Yu H, Xiang YB, et al. Type I and II endometrial cancers: have they different risk factors? J Clin Oncol. (2013) 31:2607–18. doi: 10.1200/JCO.2012.48.2596
4. Jin H, Wang L, and Bernards R. Rational combinations of targeted cancer therapies: background, advances and challenges. Nat Rev Drug Discov. (2023) 22:213–34. doi: 10.1038/s41573-022-00615-z
5. Auten RL and Davis JM. Oxygen toxicity and reactive oxygen species: the devil is in the details. Pediatr Res. (2009) 66:121–7. doi: 10.1203/PDR.0b013e3181a9eafb
6. Schieber M and Chandel NS. ROS function in redox signaling and oxidative stress. Curr Biol. (2014) 24:R453–62. doi: 10.1016/j.cub.2014.03.034
7. Saybaşili H, Yüksel M, Haklar G, and Yalçin AS. Effect of mitochondrial electron transport chain inhibitors on superoxide radical generation in rat hippocampal and striatal slices. Antioxid Redox Signal. (2001) 3:1099–104. doi: 10.1089/152308601317203602
8. Scutiero G, Iannone P, Bernardi G, Bonaccorsi G, Spadaro S, Volta CA, et al. Oxidative stress and endometriosis: A systematic review of the literature. Oxid Med Cell Longev. (2017) 2017:7265238. doi: 10.1155/2017/7265238
9. Christodoulakos G, Augoulea A, Lambrinoudaki I, Sioulas V, and Creatsas G. Pathogenesis of endometriosis: the role of defective ‘immunosurveillance’. Eur J Contracept Reprod Health Care. (2007) 12:194–202. doi: 10.1080/13625180701387266
10. Augoulea A, Mastorakos G, Lambrinoudaki I, Christodoulakos G, and Creatsas G. The role of the oxidative-stress in the endometriosis-related infertility. Gynecol Endocrinol. (2009) 25:75–81. doi: 10.1080/09513590802485012
11. Agarwal A, Gupta S, and Sharma RK. Role of oxidative stress in female reproduction. Reprod Biol Endocrinol. (2005) 3:28. doi: 10.1186/1477-7827-3-28
12. Juan CA, Perez de la Lastra JM, Plou FJ, and Perez-Lebena E. The chemistry of reactive oxygen species (ROS) revisited: outlining their role in biological macromolecules (DNA, lipids and proteins) and induced pathologies. Int J Mol Sci. (2021) 22:4642. doi: 10.3390/ijms22094642
13. Liou GY and Storz P. Reactive oxygen species in cancer. Free Radic Res. (2010) 44:479–96. doi: 10.3109/10715761003667554
14. Galadari S, Rahman A, Pallichankandy S, and Thayyullathil F. Reactive oxygen species and cancer paradox: To promote or to suppress? Free Radic Biol Med. (2017) 104:144–64. doi: 10.1016/j.freeradbiomed.2017.01.004
15. Nicco C and Batteux F. ROS modulator molecules with therapeutic potential in cancers treatments. Molecules. (2017) 23:15. doi: 10.3390/molecules23010084
16. Conforti RA, Delsouc MB, Zorychta E, Telleria CM, and Casais M. Copper in gynecological diseases. Int J Mol Sci. (2023) 24:17578. doi: 10.3390/ijms242417578
17. Li Y. Copper homeostasis: Emerging target for cancer treatment. IUBMB Life. (2020) 72:1900–8. doi: 10.1002/iub.2341
18. Tsui KH, Hsiao JH, Lin LT, Tsang YL, Shao AN, Kuo CH, et al. The cross-communication of cuproptosis and regulated cell death in human pathophysiology. Int J Biol Sci. (2024) 20:218–30. doi: 10.7150/ijbs.84733
19. Valko M, Morris H, and Cronin MT. Metals, toxicity and oxidative stress. Curr Med Chem. (2005) 12:1161–208. doi: 10.2174/0929867053764635
20. Guengerich FP. Introduction to Metals in Biology 2018: Copper homeostasis and utilization in redox enzymes. J Biol Chem. (2018) 293:4603–5. doi: 10.1074/jbc.TM118.002255
21. Schofield CJ and Ratcliffe PJ. Oxygen sensing by HIF hydroxylases. Nat Rev Mol Cell Biol. (2004) 5:343–54. doi: 10.1038/nrm1366
22. Koppaka V, Thompson DC, Chen Y, Ellermann M, Nicolaou KC, Juvonen RO, et al. Aldehyde dehydrogenase inhibitors: a comprehensive review of the pharmacology, mechanism of action, substrate specificity, and clinical application. Pharmacol Rev. (2012) 64:520–39. doi: 10.1124/pr.111.005538
23. Shen ML, Lipsky JJ, and Naylor S. Role of disulfiram in the in vitro inhibition of rat liver mitochondrial aldehyde dehydrogenase. Biochem Pharmacol. (2000) 60:947–53. doi: 10.1016/S0006-2952(00)00435-4
24. Kang X, Jadhav S, Annaji M, Huang C-H, Amin R, Shen J, et al. Advancing cancer therapy with copper/disulfiram nanomedicines and drug delivery systems. Pharmaceutics. (2023) 15:1567. doi: 10.3390/pharmaceutics15061567
25. Allensworth JL, Evans MK, Bertucci F, Aldrich AJ, Festa RA, Finetti P, et al. Disulfiram (DSF) acts as a copper ionophore to induce copper-dependent oxidative stress and mediate anti-tumor efficacy in inflammatory breast cancer. Mol Oncol. (2015) 9:1155–68. doi: 10.1016/j.molonc.2015.02.007
26. Pan M, Zheng Q, Yu Y, Ai H, Xie Y, Zeng X, et al. Seesaw conformations of Npl4 in the human p97 complex and the inhibitory mechanism of a disulfiram derivative. Nat Commun. (2021) 12:121. doi: 10.1038/s41467-020-20359-x
27. Falls-Hubert KC, Butler AL, Gui K, Anderson M, Li M, Stolwijk JM, et al. Disulfiram causes selective hypoxic cancer cell toxicity and radio-chemo-sensitization via redox cycling of copper. Free Radic Biol Med. (2020) 150:1–11. doi: 10.1016/j.freeradbiomed.2020.01.186
28. Chen D, Cui QC, Yang H, and Dou QP. Disulfiram, a clinically used anti-alcoholism drug and copper-binding agent, induces apoptotic cell death in breast cancer cultures and xenografts via inhibition of the proteasome activity. Cancer Res. (2006) 66:10425–33. doi: 10.1158/0008-5472.CAN-06-2126
29. Li Y, Fu SY, Wang LH, Wang FY, Wang NN, Cao Q, et al. Copper improves the anti-angiogenic activity of disulfiram through the EGFR/Src/VEGF pathway in gliomas. Cancer Lett. (2015) 369:86–96. doi: 10.1016/j.canlet.2015.07.029
30. Yip NC, Fombon IS, Liu P, Brown S, Kannappan V, Armesilla AL, et al. Disulfiram modulated ROS-MAPK and NFκB pathways and targeted breast cancer cells with cancer stem cell-like properties. Br J Cancer. (2011) 104:1564–74. doi: 10.1038/bjc.2011.126
31. Viola-Rhenals M, Patel KR, Jaimes-Santamaria L, Wu G, Liu J, and Dou QP. Recent Advances in Antabuse (Disulfiram): The Importance of its Metal-binding Ability to its Anticancer Activity. Curr Med Chem. (2018) 25:506–24. doi: 10.2174/0929867324666171023161121
32. Lewis DJ, Deshmukh P, Tedstone AA, Tuna F, and O’brien P. On the interaction of copper (II) with disulfiram. Chem Commun. (2014) 50:13334–7. doi: 10.1039/C4CC04767B
33. Kao Y, Huang LC, Hsu SY, Huang SM, and Hueng DY. The effect of disulfiram and copper on cellular viability, ER stress and ALDH expression of human meningioma cells. Biomedicines. (2022) 10:887. doi: 10.3390/biomedicines10040887
34. Florea AM and Büsselberg D. Cisplatin as an anti-tumor drug: cellular mechanisms of activity, drug resistance and induced side effects. Cancers (Basel). (2011) 3:1351–71. doi: 10.3390/cancers3011351
35. Lin CK, Liu ST, Wu ZS, Wang YC, and Huang SM. Mechanisms of cisplatin in combination with repurposed drugs against human endometrial carcinoma cells. Life (Basel). (2021) 11:160. doi: 10.3390/life11020160
36. Bestvina CM and Fleming GF. Chemotherapy for endometrial cancer in adjuvant and advanced disease settings. Oncologist. (2016) 21:1250–9. doi: 10.1634/theoncologist.2016-0062
37. Corrado G, Salutari V, Palluzzi E, Distefano MG, Scambia G, and Ferrandina G. Optimizing treatment in recurrent epithelial ovarian cancer. Expert Rev Anticancer Ther. (2017) 17:1147–58. doi: 10.1080/14737140.2017.1398088
38. Pisano C, Bruni GS, Facchini G, Marchetti C, and Pignata S. Treatment of recurrent epithelial ovarian cancer. Ther Clin Risk Manag. (2009) 5:421–6. doi: 10.2147/tcrm.s4317
39. Wu TM, Liu ST, Chen SY, Chen GS, Wu CC, and Huang SM. Mechanisms and applications of the anti-cancer effect of pharmacological ascorbic acid in cervical cancer cells. Front Oncol. (2020) 10:1483. doi: 10.3389/fonc.2020.01483
40. Chou TC. Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies. Pharmacol Rev. (2006) 58:621–81. doi: 10.1124/pr.58.3.10
41. Zhang Z, Wang H, Yan M, Wang H, and Zhang C. Novel copper complexes as potential proteasome inhibitors for cancer treatment (Review). Mol Med Rep. (2017) 15:3–11. doi: 10.3892/mmr.2016.6022
42. Conticello C, Martinetti D, Adamo L, Buccheri S, Giuffrida R, Parrinello N, et al. Disulfiram, an old drug with new potential therapeutic uses for human hematological Malignancies. Int J Cancer. (2012) 131:2197–203. doi: 10.1002/ijc.27482
43. Huang RY, Pei L, Liu Q, Chen S, Dou H, Shu G, et al. Isobologram analysis: A comprehensive review of methodology and current research. Front Pharmacol. (2019) 10:1222. doi: 10.3389/fphar.2019.01222
44. Lopez J, Ramchandani D, and Vahdat L. Copper depletion as a therapeutic strategy in cancer. Met Ions Life Sci. (2019) 19. doi: 10.1515/9783110527872-018
45. Chen SY, Liu ST, Lin WR, Lin CK, and Huang SM. The mechanisms underlying the cytotoxic effects of copper via differentiated embryonic chondrocyte gene 1. Int J Mol Sci. (2019) 20:5225. doi: 10.3390/ijms20205225
46. Chen SY, Chang YL, Liu ST, Chen GS, Lee SP, and Huang SM. Differential cytotoxicity mechanisms of copper complexed with disulfiram in oral cancer cells. Int J Mol Sci. (2021) 22:3711. doi: 10.3390/ijms22073711
47. Cocetta V, Ragazzi E, and Montopoli M. Mitochondrial involvement in cisplatin resistance. Int J Mol Sci. (2019) 20:3384. doi: 10.3390/ijms20143384
48. Zong WX, Rabinowitz JD, and White E. Mitochondria and cancer. Mol Cell. (2016) 61:667–76. doi: 10.1016/j.molcel.2016.02.011
49. Guerra F, Arbini AA, and Moro L. Mitochondria and cancer chemoresistance. Biochim Biophys Acta Bioenerg. (2017) 1858:686–99. doi: 10.1016/j.bbabio.2017.01.012
50. Srinivasan S, Guha M, Kashina A, and Avadhani NG. Mitochondrial dysfunction and mitochondrial dynamics-The cancer connection. Biochim Biophys Acta Bioenerg. (2017) 1858:602–14. doi: 10.1016/j.bbabio.2017.01.004
51. Jornayvaz FR and Shulman GI. Regulation of mitochondrial biogenesis. Essays Biochem. (2010) 47:69–84. doi: 10.1042/bse0470069
52. Scarpulla RC. Metabolic control of mitochondrial biogenesis through the PGC-1 family regulatory network. Biochim Biophys Acta. (2011) 1813:1269–78. doi: 10.1016/j.bbamcr.2010.09.019
53. Yaginuma Y and Westphal H. Analysis of the p53 gene in human uterine carcinoma cell lines. Cancer Res. (1991) 51:6506–9.
54. Marcato P, Dean CA, Giacomantonio CA, and Lee PW. Aldehyde dehydrogenase: its role as a cancer stem cell marker comes down to the specific isoform. Cell Cycle. (2011) 10:1378–84. doi: 10.4161/cc.10.9.15486
55. Guo F, Yang Z, Kulbe H, Albers AE, Sehouli J, and Kaufmann AM. Inhibitory effect on ovarian cancer ALDH+ stem-like cells by Disulfiram and Copper treatment through ALDH and ROS modulation. BioMed Pharmacother. (2019) 118:109371. doi: 10.1016/j.biopha.2019.109371
Keywords: cellular stress, cisplatin, combination chemotherapy, disulfiram, doxorubicin
Citation: Liu P-S, Wu Z-S and Huang S-M (2026) Differential cytotoxicity mechanisms of copper complexed with disulfiram for combination chemotherapy in human endometrial cancer cells. Front. Oncol. 16:1760903. doi: 10.3389/fonc.2026.1760903
Received: 04 December 2025; Accepted: 13 January 2026; Revised: 08 January 2026;
Published: 29 January 2026.
Edited by:
Stefano Restaino, Ospedale Santa Maria della Misericordia di Udine, ItalyReviewed by:
Qingbin Cui, University of Toledo College of Medicine and Life Sciences, United StatesWanhe Wang, Northwestern Polytechnical University, China
Copyright © 2026 Liu, Wu and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Shih-Ming Huang, c2hpaG1pbmdAbWFpbC5uZG11dHNnaC5lZHUudHc=
Peng-Sin Liu1,2