Skip to main content


Front. Oncol., 15 May 2020
Sec. Hematologic Malignancies
Volume 10 - 2020 |

Dihydroartemisinin Induces Growth Arrest and Overcomes Dexamethasone Resistance in Multiple Myeloma

Ying Chen1,2, Rui Li2, Yuqi Zhu2,3, Sixia Zhong2, Jinjun Qian2, Dongqing Yang2, Artur Jurczyszyn4, Meral Beksac5, Chunyan Gu1,2* and Ye Yang2,6*
  • 1The Third Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
  • 2School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China
  • 3Department of Internal Medicine, University of Iowa, Iowa City, IA, United States
  • 4Department of Hematology, Collegium Medicum, Jagiellonian University, Kraków, Poland
  • 5Department of Hematology, School of Medicine, Ankara University, Ankara, Turkey
  • 6Key Laboratory for Combination of Acupuncture and Chinese Materia Medica of Chinese Ministry of Education, Nanjing University of Chinese Medicine, Nanjing, China

The discovery of artemisinin (ART) for malaria treatment won the 2015 Nobel Prize in Medicine, which inspired the rediscovery and development of ART for the treatment of other diseases including cancer. In this study, we investigated the potential therapeutic effect of ART and dihydroartemisinin (DHA) on multiple myeloma (MM) cells including primary MM cells and in 5TMM3VT mouse model. Both in vitro and in vivo experiments showed that DHA might be a more promising anti-MM agent with significantly improved efficacy compared to ART. Mechanistic analyses suggested that DHA activated the mitochondrial apoptotic pathway by interacting with ferrous (Fe2+) ions and oxygen to produce reactive oxygen species (ROS). Intriguingly, DHA could reverse the upregulated expression of B-cell lymphoma 2 (Bcl-2) protein, a typical mitochondrial apoptotic marker, induced by dexamethasone (Dexa) in MM. We further demonstrated that DHA treatment could overcome Dexa resistance and enhance Dexa efficacy in MM. Additionally, DHA combined with Dexa resulted in increased ROS production and cytochrome C translocation from the mitochondria to the cytoplasm, resulting in alterations to the mitochondrial membrane potential and caspase-mediated apoptosis. In summary, our study demonstrated that DHA was superior to ART in MM treatment and overcame Dexa resistance both in vitro and in vivo, providing a promising therapeutic strategy for MM therapy.


Multiple myeloma (MM) remains an incurable hematological malignancy of plasma cells, despite the therapeutic advances over the past two decades with numerous agents including proteasome inhibitors such as bortezomib (1), ixazomib (2), and carfilzomib (3), monoclonal antibodies such as elotuzumab (4), and daratumumab (5), immunomodulatory drugs such as pomalidomide (6) and lenalidomide (7), and other treatments including chimeric antigen receptors (CAR)-T-cell therapy (8, 9) gaining clinical approval. Dexamethasone (Dexa) remains the most widely used drug for the treatment of MM despite the development of resistance in patients after prolonged exposure to its high doses (10), which in turn, is associated with poor prognosis of MM. Recurrent MM patients treated with numerous anti-MM drugs or high-risk patients with MM have poor median survival rates (11); thus, novel molecular targeting therapies are required to overcome drug resistance in MM treatment.

An increasing number of studies have demonstrated that artemisinin (ART)-type based endoperoxide drugs exhibit anticancer properties (12, 13). Dihydroartemisinin (DHA)-inhibited proliferation of cancer cells may be associated with the production of reactive oxygen species (ROS) (14, 15), induction of apoptosis (16), inhibition of angiogenesis (17), and ferroptosis (18). For example, in lung cancer, DHA-inhibited proliferation induces cell cycle arrest and decreases tumor growth by suppressing invasion and migration, increases the concentration of calcium (Ca2+) ions, and activates p38 (19). In glioma, DHA induces autophagy, apoptosis, and cell cycle arrest by increasing the cleavage of caspase-3, decreasing the expression of protein kinase B (p-AKT), and downregulating AKT phosphorylation followed by caspase-3 activation (20). Furthermore, artemisinin-type drugs increase the sensitivity of resistant cancer cells to conventional drugs (21). Examples of this include DHA combined with gemcitabine, which is efficacious against pancreatic tumor cells by suppressing gemcitabine-induced nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) activation (22); DHA combined with cyclophosphamide, which inhibits spontaneous pulmonary metastasis (23), and a combination of DHA and gemcitabine, which decreases hepatoma tumor growth (24). However, the synergistic effects of DHA with the conventional drug Dexa for the treatment of MM have not yet been determined.

In the present study, two artemisinin-type drugs, ART and DHA, were examined for their anti-MM effect in vitro and in vivo. We also established their mechanism of action.

Materials and Methods

Cell Culture

Human MM cell lines MM.1S, MM.1R cells were purchased from ATCC (CRL-2974 and CRL-2975, respectively), ARP1 and H929 cells were kind gifts from Dr. Siegfried Janz (University of Iowa, Iowa City, IA, USA) and mouse 5TMM3VT cells were donated by Dr. Wen Zhou (Xiangya School of Medicine, Central South University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education; Key Laboratory of Carcinogenesis, National Health and Family Planning Commission, Changsha, China). All the cells were cultured in RPMI-1640 medium (Biological Industries, Beit Haemek, Israel) supplemented with 10% heat-inactivated fetal bovine serum (FBS; Biological Industries, Israel) and 1% penicillin/streptomycin at 37°C with 5% CO2. Primary human CD138+ cells were collected from the blood samples of each participant and cultured in the same conditions as described above, which was approved by the ethics committees of Affiliated Hospital of Nanjing University of Chinese Medicine (No. 2018NL-KS13).

Cell Proliferation Assay

Cell growth was evaluated using MTT assay according to the method described in the literature (25). Cells were seeded at a density of 8 × 103 cells/well in 96-well plates. MM cells were cultured with different treatments for 48 h, and primary human CD138+ cells were treated for 24 h at 37°C with 5% CO2. 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT; 5 mg/mL) was added into each well. After incubation for 4 h, the supernatant was removed and DMSO was added to dissolve formazan. The absorbance was measured at A570 nm with a microplate plate reader (Thermo Fisher Scientific, Inc., USA).

Apoptosis Assay

MM cells were seeded in 6-well plates with 2 × 106 cells each well and treated with ART (Aladdin, Shanghai, China, #A110206), DHA (MACKLIN, Shanghai, China, #D831931), Dexa (Sigma-Aldrich, Merck KGaA, #D4902) or combination of DHA with Dexa for 48 h. Cells were washed twice with cold prechilled phosphate buffered saline (PBS), resuspended in binding buffer [10 mmol/L HEPES/NaOH (pH 7.4), 140 mmol/L NaCl, and 2.5 mmol/L CaCl2], and then stained with annexin-V-FITC (20 μg/mL) and Propidium Iodide (PI; 50 μg/mL; Sigma-Aldrich, Merck KGaA) for 15 min in the dark. The number of apoptotic cells was analyzed using flow cytometer (EMD Millipore; USA; guavaSoft 3.1.1).

Cell Cycle Analysis

Cells were collected into centrifuge tubes and washed twice with PBS, then fixed with 75% ethanol for 12 h. Subsequently, cells were washed with PBS, treated with 200 μg/mL RNase for 15 min at 37°C to remove RNA contamination, and stained with 50 μg/mL PI (Sigma-Aldrich, Merck KGaA) for 30 min at room temperature in the dark. Cells were filtered through 35 μm mesh to remove clumps before analyzed by a flow cytometer.

Determination of Δψm

Variations in mitochondrial membrane potential (Δψm) of MM cells were measured using a JC-1 (5,5′,6,6′-tetrachloro-1,1′,3,3′-tetraethylbenzymidazolyl carbocyanine iodide) kit (Beyotime Institute of Biotechnology, Jiangsu, China, #C2006). After treated with 30 μM DHA or 60 μM Dexa for 48 h, a total of 2 × 106 cells were harvested and incubated with JC-1 at 37°C for 20 min and then washed and re-suspended in PBS. The samples were analyzed and 10,000 events were acquired with flow cytometer. JC-1 is presented as monomers in low Δψm (Ex = 549 nm, Em = 590 nm), while it was presented as protomeric aggregates in high Δψm (Ex = 488 nm, Em = 530 nm). The loss of Δψm was rejected by increased green fluorescence from the JC-1 monomers (26).

Western Blot

Protein levels in MM cells were detected by western blot method, which was performed as previously described (27). MM cells were harvested, washed and lysed with assistance of RIPA Lysis Buffer. 40 μg total protein samples were heated in SDS/β-mercaptoethanol buffer and loaded on 12–15% SDS-PAGE gels. Proteins were separated by electrophoresis in the gels, and then transferred onto PVDF membrane. The membrane was blocked with 5% non-fat milk and incubated with primary antibodies against Bcl-2 (Transduction laboratones, #610538, 1:1,000 dilution), Bad (Cell Signaling Technology, #9292, 1:1,000 dilution), PARP (Cell Signaling Technology, #9542S, dilution rate1:1000), Caspase 3 (Cell Signaling Technology, #9662s, 1:1,000 dilution), cytochrome C (Cyt C; Cell Signaling Technology, #4272, 1:1,000 dilution), and β-actin(Cell Signaling Technology, #4970S, 1:1,000 dilution) overnight at 4°C. Blots were incubated with secondary antibodies used horseradish peroxidase conjugated rabbit anti-mouse (Affinity, #S0002, 1:10,000 dilution) or goat anti-rabbit IgG (Fcmacs, #FMS-Rb01, 1:10,000 dilution) for 1 h at room temperature. Finally, blots were developed by chemiluminescence using ECL kit (Tanon, Shanghai, China).

Mitochondrial Isolation Assay

Mitochondria isolation was operated according to the manufacturer's instruction of Cell Mitochondria Isolation Kit (Beyotime Institute of Biotechnology, Jiangsu, China, #C3601). MM.1S and MM.1R cells were plated in a 100 mm2 dish containing 5 × 108 cells and treated with DHA, Dexa or combination of DHA with Dexa for 48 h. After treatment, cells were washed with cold PBS for three times, then collected into centrifuge tubes (1,200 g for 5 min) and resuspended with isolation buffer containing protease inhibitor (1:1,000, Biolegend, America, CAT: 640941). After standing the suspension for 15 min, the suspension of cells were homogenized by a Dounce glass homogenizer for several complete up-and-down cycles and kept on ice. Next, the liquid was transferred into centrifuge tubes to remove debris including nuclei by centrifugation at 600 g for 10 min at 4°C. Then supernatant was transferred into another centrifuge tube and centrifuged at 11,000 g for 10 min at 4°C. The pellet was the crude mitochondrial fraction. The crude mitochondrial fraction was lysed by mitochondrial lysis fluid for western blot analysis. After placed on ice for 15 min, the lysate was centrifuged at 12,000 g for 5 min at 4°C.

Oxygen Consumption Rate (OCR) Measurement

O2k (Oroboros, Austria) was used for the measurement of OCR. According to the manufacturer's protocol (, 1 × 106/2 mL ARP1 and H929 cells were cultured for 48 h with 10 μM ART, 10 μM DHA or untreated, respectively. The cell culture medium was replaced with 1,640 medium without FBS, and OCR measurement was performed in real time using software (DatLab, included in the O2k-FluoRespirometer). The mitochondrial inhibitors, 2.5 μM oligomycin (Aladdin, China, #o111756), 1.0 μM carbonyl cyanide 3-chlorophenylhydrazone (FCCP, ACROS, America, #228131000), 0.5 μM rotenone (Aladdin, China, #R105076) and 2.5 μM antimycin A (ENZO, America, #alx-380-075-m005) were added in the listed order (28). The OCR was calculated by the formula:(the max of oxygen consumption after FCCP stimulation—the basal oxygen consumption rate) / protein concentration.

Measurement of Fe2+ Levels

1 × 106 cells were harvested and incubated with 5 μM of Calcein-AM (a non-fluorescent lipophilic ester, Yeasen, Shanghai, China, #40719ES50) for 15 min at 37°C and 50 μg/mL PI for 10 min at 4°C after treated with 10 μM ART or DHA for 48 h. Cells were then washed twice using PBS and the fluorescence intensity signals of the cells were analyzed using a flow cytometry (wavelength of Ex = 490 nm / Em = 515 nm for Calcein-AM; wavelength of Ex = 535 nm / Em = 617 nm for PI). Cytosolic esterases hydrolyze Calcein-AM to release the fluorescent calcein, which binds to the intracellular labile iron pool, resulting in quenching of the fluorescent signal. The cytosolic iron mobilization was calculated by the mean cellular calcein fluorescent intensity using flow cytometry. The reduction of calcein-AM fluorescence intensity represented an increase of chelatable cytosolic Fe2+ (29).

ROS Determination

Intracellular ROS levels were quantified by measuring the fluorescence intensity of the 2′,7′-dichlorofluorescein diacetate (DCFH-DA; Beyotime Institute of Biotechnology, Jiangsu, China, #S0033) with PI as a probe using flow cytometry. The non-fluorescent DCFH-DA is deacetylated by intracellular esterases to the non-fluorescent DCFH, which is subsequently rapidly oxidized by intracellular ROS to the fluorescent 2′,7′-dichlorofluorescein. Cells were washed twice with PBS and incubated with 10 μM DCFH-DA at 37°C for 30 min in the dark. Subsequently, the cells were washed twice and resuspended in PBS. ROS levels were determined using a flow cytometer.

Human Myeloma Xenograft Mice Model

All animal procedures were conducted in accordance with government-published recommendations for the Care and Use of Laboratory Animal, which were approved by the Institutional Ethics Review Boards of Nanjing University of Chinese Medicine (No. ACU170501 and 201905A003). MM.1S (sensitive to Dexa) and MM.1R (resistant to Dexa) cells (3 × 106) were subcutaneously injected into the abdominal area of 6~8-weeks old NOD-SCID mice (n = 10 per group) from Beijing Vital River Laboratory Animal Technology, Co., Ltd (Beijing, China). Starting on day 3 post cell transfer, mice were treated with DHA (25 mg/kg) three times a week and Dexa (9 mg/kg) every other day. The tumor volumes were measured using calipers at the indicated time points. When the tumor diameters reached 20 mm, the mice were sacrificed. Tumor volume (mm3) was calculated as: (length × width2)/2 (30).

5TMM3VT Myeloma Mice Model

5TMM3VT murine myeloma cells (1 × 106) were injected through the tail vein into 6-week-old C57BL/KaLwRij mice (n = 10 per group). The mice were divided into 3 groups as follows: DHA (50 mg/kg) treatment group, ART (50 mg/kg) group, and control group (Castor oil: ethanol: saline=2:1:7). After 2 days, 10 mice from each group were treated via intraperitoneal injection three times a week for 75 days until all the mice were dead. DHA and ART were dissolved in 70% saline, 20% Castor oil, and 10% ethanol.

Statistical Analysis

Data were expressed as the mean ± SD. The Student's t-test was used to determine a significant difference. The difference between groups was set at *p < 0.05, **p < 0.01, and ***p < 0.001. Mouse survival was analyzed by GraphPad Prism 5 software (GraphPad Software Inc., La Jolla, CA, USA) using the Log-rank (Mantel-Cox) Test. The interaction between DHA and Dexa was analyzed by CalcuSyn software program (CalcuSyn Version 2.1, Biosoft). Isobologram analysis was based on the Chou-Talalay method with the combination index (CI). CI <1.0 indicates synergism, CI = 1.0 presents additive activity and CI > 1.0 states antagonism.


DHA Is a Potential Drug in the Treatment of Myeloma

To evaluate the potential of ART or DHA as a treatment for MM, the therapeutic effects of ART and DHA were determined on overall survival rate of C57BL/KaLwRij MM-prone mouse model established using 5TMM3VT cells. Kaplan–Meier survival curve showed that the MM mice with ART treatment had significantly improved overall survival (median survival, 53 days) compared with the untreated control animals (median survival, 38 days; P = 0.0085). Additionally, MM mice treated with DHA had a significantly longer survival (median survival >75 days) compared with the untreated control animals (P = 0.0020). None of the untreated control mice survived >6 weeks; however, mice treated with ART survived for <8 weeks (39% increase) while mice treated with DHA survived >10 weeks (90% increase). The improved survival rate of DHA-treated mice compared with those of ART-treated mice (P = 0.0116; Figure 1A) demonstrated the therapeutic potential of DHA compared with ART for the treatment of MM.


Figure 1. DHA is a potential drug in the treatment of myeloma. (A) The survival data was obtained using 5TMM3VT myeloma mice model. (B) The MTT assay. DHA could suppress the proliferation of ARP1 and H929 cells, while ART could not. (C,D) The cell cycle and apoptosis of MM cells with or without treatment of either DHA or ART were determined by flow cytometry. The difference of the cell cycle of G2/M phase or apoptosis between groups was calculated by Student's t-test. *P < 0.05, **P < 0.01, and ***P < 0.001 were considered statistically significant.

The effects of ART and DHA on the proliferation of the MM cell lines were determined (Figure 1B). Treatment of ARP1 and H929 cells with ART or DHA resulted in dose-dependent cytotoxicity. The IC50 of ART was significantly higher than that of DHA in both ARP1 (2.84 mM vs. 2.937 μM, respectively) and H929 (815 μM vs. 7.931 μM) MM cells (Figure 1B), highlighting the better efficacy of DHA in the treatment for MM. This observation was further confirmed by performing a cell cycle assay and apoptosis analysis. In the cell cycle assay, the proportion of ART- and DHA-treated cells in the G2/M stages decreased compared with that in the untreated control group, and the proportion of ARP1 (15.23 ± 3.66%) and H929 cells (11.46 ± 4.26%) in these phases was significantly lower in the DHA-treated group than that in the ART-treated group (ARP1 cells: 28.40 ± 5.63%, P < 0.05 and (H929 cells: 29.97 ± 1.38%, P < 0.01; Figure 1C). Flow cytometry analysis of apoptosis showed that there was a significant increase in the apoptotic levels in the DHA-treated ARP1 (25.83 ± 7.80%) and H929 cells (66.23 ± 1.80%) compared with the ART-treated ARP1 (9.08 ± 0.72%, P < 0.01) and H929 cells (12.54 ± 1.59%, P < 0.01) and the untreated ARP1 (5.35 ± 0.96%, P < 0.001) and H929 cells (7.29 ± 0.14%, P < 0.001; Figure 1D).

DHA Treatment Increases the Concentration of ROS in MM Cell Lines

ROS serve an important role during apoptosis (31) and ROS concentration is the most intuitive indicator to evaluate the oxidant activity of ART and DHA (32). Thus, the ROS levels in MM cells treated with ART or DHA were determined. As shown in Figure 2A, DHA significantly increased ROS production compared with ART treatment (P < 0.001) in ARP1 and H929 cells. At 2.5 μM DHA in ARP1 cells, the generation of ROS (1.65 ± 0.06) was significantly higher than that in the untreated cells (1.00 ± 0.02) and ART-treated cells (1.15 ± 0.10). Similar results were observed in H929 cells and at other concentrations, suggesting that DHA increased intracellular ROS production compared with the ART and untreated cells (Figure 2A).


Figure 2. DHA increases the concentration of reactive oxygen species (ROS) in MM cell lines. (A) ROS determination assay. ARP1 and H929 cells were treated with different concentrations of ART or DHA for 48 h, and the percentage of DCFHDA positive cells was detected by flow cytometry. (B) The measurement of Fe2+ levels. Mean fluorescence intensity of ARP1 and H929 cells treated with ART or DHA for different time points (24, 48, and 72 h) was measured by flow cytometry. (C) The measurement of OCR. The oxygen consumption rate was determined by O2k (see Materials and Methods). Data statistics were analyzed by Student's t-test. *P < 0.05, **P < 0.01, ***P < 0.001.

Previous studies have reported that ART treatments, in the presence of free iron, result in the production of alkylating agents which damage cancer cells (33). Therefore, the effect of DHA on intracellular iron in MM cells was examined. The fluorescence intensity of intracellular iron staining was determined using Calcein-AM after 0, 24, 48 and 72 h of treatment and flow cytometry (Figure 2B). The cytoplasmic Fe2+ of MM cells was labeled using Calcein-AM and an increase in fluorescence intensity represented reduced ferrous iron content. The fluorescence intensity of calcein was lower in ARP1 (0 vs. 48 h, 715.61 ± 21.72 vs. 209.46 ± 54.75) and in H929 cells (0 vs. 48 h, 547.73 ± 36.4 vs 149.07 ± 41.34) treated with DHA for 48 h. Calcein fluorescence intensity was significantly lower in cells treated with DHA after 48 h than in ART-treated and untreated cells.

To determine whether ART and DHA altered mitochondrial OCR, MM cells were treated with ART or DHA for 48 h. Oligomycin A was added to the cells to examine oxygen consumption coupled with ATP synthesis. The uncoupler carbonyl cyanide-4-(trifluoromethoxy) phenylhydrazone (FCCP) was added to determine the maximal respiratory capacity. Antimycin A and rotenone were used to determine the spare respiratory capacity. As shown in Figure 2C, only treatment with DHA resulted in a significant increase in OCR, suggesting that DHA, but not ART, increases the concentration of ROS primarily through increasing mitochondrial OCR.

DHA Induces the Mitochondrial Apoptosis Pathway in MM

To confirm the effect of DHA on MM cell apoptosis and the involvement of the mitochondrial pathway, the expression of caspase-3, PARP, Bcl-2, and Bad were determined, which were indicators of apoptosis in a number of different types of cancer (34). Western blot showed that cleaved caspase-3 and PARP expression levels in ARP1 and H929 cells treated with DHA were significantly increased compared with cells treated with ART or untreated cells after 12, 24, and 48 h (Figure 3A). Bcl-2 expression levels were significantly decreased in cells treated with DHA after 24 h (Figure 3B). To further confirm the involvement of mitochondria-dependent apoptosis in cells treated with DHA, Bad expression was measured. As shown in Figure 3C, DHA treatment downregulated the expression of Bad in both ARP1 and H929 cells in a time-dependent manner.


Figure 3. DHA induces caspase-mediated apoptosis in MM cell lines. (A–C) The protein levels of caspase-3, PARP, Bcl-2, and Bad were determined by western blotting in MM cells. The results showed that caspase-3 and PARP were increased after 12 h, while Bcl-2 and Bad were decreased after 12 h.

DHA Overcomes Resistance to Dexa in MM

Since Bcl-2 is a typical marker for Dexa resistance MM patients, we further assessed the efficacy of DHA for treatment of Dexa-resistant MM (35). Paired Dexa-sensitive (MM.1S) and Dexa-resistant (MM.1R) MM cell lines were utilized, which were established from peripheral blood of the same MM patient and sensitive/resistant to Dexa, respectively (36). The viability of MM.1S and MM.1R cells significantly reduced in a concentration-dependent manner (Figure 4A). Of note, the MM.1R cells exhibited some sensitivity to DHA.


Figure 4. DHA overcomes dexamethasone resistance in multiple myeloma. (A) The MTT assay. DHA suppresses the proliferation of ARP1 and H929 cells. (B) DHA synergistically enhances the effect of Dexa. (C) The MTT assay. The combination of DHA and Dexa significantly inhibits the growth of CD138 positive cells. (D) The apoptosis of MM.1S and MM.1R cells was measured by staining with Annexin V and PI, which was followed by flow cytometry analysis. *P < 0.05, ***P < 0.001.

As Dexa is the most widely used treatment for patients with MM despite the development of drug resistance (37), the effect of DHA in combination with Dexa was determined. As shown in Figure 4B, a combination of DHA and Dexa significantly reduced the viability of MM.1S (combination index, CI, of 17.5 μM DHA with 60 μM Dexa, 0.269) and MM.1R cells (CI of 17.5 μM DHA with 15 μM Dexa, 0.167). Comparable results of combined treatment and Dexa were observed, confirming that combined treatment significantly reduced viability compared with either treatment alone, irrespective of the Dexa dose.

To determine the clinical potential of DHA combined with Dexa, MM cells obtained from the MM patients were treated with the drugs to evaluate their effects on growth in short-term cultures for 12 h. The CD138+ cells showed significantly reduced growth when treated with the combination of drugs compared with 7.5 μM Dexa or 120 μM DHA alone (both P < 0.05; Figure 4C). Additionally, apoptosis was detected using flow cytometry, and it was demonstrated that both MM.1S and MM.1R cells treated with the combination of drugs exhibited increased apoptosis compared with Dexa or DHA alone (both P < 0.001; Figure 4D), consistent with the results of ARP1 and H929 cells treated with the drugs either alone or in combination.

DHA Combined With Dexa Increases Translocation of Cytochrome C (cyt C) From the Mitochondria to the Cytoplasm

In order to detect the mechanism through which DHA overcomes Dexa resistance, we further explored if DHA combined with Dexa could increase oxidative stress and ROS production in MM.1S and MM.1R cells. As shown in Figure 5A, the levels of ROS in cells treated with a combination of drugs were significantly higher than those in cells treated with either treatment alone. Treatment with Dexa or DHA alone, or combined resulted in a loss in Δψm, which is represented by an increase in JC-1 green fluorescence (Figure 5B). The combination treatment (2965.06 ± 64.52 in MM.1S cells; 2918.14 ± 26.21 in MM.1R cells) was significantly more effective compared with Dexa alone (2579.85 ± 36.75 in MM.1S cells, P < 0.01; 2492.58 ± 36.39 in MM.1R cells, P < 0.01) and DHA alone (2632.60 ± 8.91 in MM.1S cells, P < 0.001; 2477.90 ± 84.07 in MM.1R cells, P < 0.01).


Figure 5. DHA in combination with Dexa induced more translocation of Cyt C from the mitochondria to the cytoplasm. (A,B) Determination of ROS and mitochondrial membrane potential. Fluorescence intensity is detected by flow cytometry. (C–G) The western blotting results showed that Cyt C and cleaved caspase-3 are increased after treatment with DHA plus Dexa and Bcl-2 expression is associated with Dexa administration in a time- and concentration-dependent manner. **P < 0.01, ***P < 0.001.

The alterations of Δψm, induced by a combination of drugs, are associated with translocation of mitochondrial proteins to the cytosol, including Cyt C (38). As shown in Figure 5C, treatment with the combination of drugs resulted in increased translocation of Cyt C to the cytosol compared with treatment with either Dexa or DHA alone. It has been reported that during mitochondrial permeability transition, Cyt C activates caspase-3 (39). The expression levels of cleaved caspase-3 were increased by DHA and Dexa alone, and further increased when cells were treated with a combination of the two drugs (Figure 5D). Cyt Ctranslocation from the mitochondria to the cytosol depends partly on the expression of Bcl-2 (40), thus Bcl-2 expression in cells treated with Dexa, DHA, or both combined was examined. Additionally, Dexa increased Bcl-2 expression in a time-dependent manner (0–96 h) peaking at 48 and 72 h with the concentration of 3.75 μM, in MM.1S and MM.1R cells (Figure 5E), suggesting that Dexa may increase Bcl-2 expression during the first 24 h. However, increasing the concentration of Dexa (0, 3.75, 7.5, 15, 30, 60, and 120 μM) within 24 h resulted in a decrease in Bcl-2 expression including in the MM.1R cells (Figure 5F). Irrespective of the concentration of Dexa used, the combination treatment restored the Dexa-induced Bcl-2 expression in the resistant cells, suggesting that DHA treatment was able to overcome Dexa resistance.

These results show that the cytotoxic effects of DHA combined with Dexa were mediated by increased ROS production, altering Δψm, reversing changes to Bcl-2 expression mediated by Dexa, increasing release of mitochondrial Cyt C, activating caspase-3, and finally inducing caspase-mediated apoptosis.

Anti-MM Activity of DHA Combined With Dexa in a MM Xenograft Mouse Model

To replicate our findings in vivo, an MM xenograft mouse model was used to evaluate the antitumor activity of DHA in combination with Dexa. NOD-SCID mice were injected with MM.1S or MM.1R cells subcutaneously; tumor neoplasms in untreated mice developed over ~1 month, whereas tumor growth of the Dexa- or DHA-treated mice developed slower compared with the untreated mice (Figure 6A). The combination treatment resulted in significantly reduced tumor growth compared with either treatment alone in mice injected with MM.1R cells (COM 1,217.76 ± 343.15 mm3 vs. Dexa 2079.50 ± 507.87 mm3, P < 0.001; COM vs. DHA 1875.53 ± 475.61 mm3, P < 0.05). However, this was not observed in mice injected with MM.1S cells (Figure 6A). After 39 days, the weight of tumors from the mice treated with both drugs (0.24 ± 0.17 g in MM.1S; 0.65 ± 0.12 g in MM.1R cells) was significantly reduced compared with that noted for untreated mice (2.02 ± 0.27 g in MM.1S; 2.65 ± 0.72 g in MM.1R), Dexa treated mice (0.98 ± 0.22 g in MM.1S; 1.62 ± 0.34 g in MM.1R), and DHA-treated mice (0.99 ± 0.19 g in MM.1S; 1.28 ± 0.20 g in MM.1R) (Figures 6B,C).


Figure 6. Anti-MM activity of DHA in combination with Dexa in MM xenograft mouse models. (A) The effect of DHA combined with Dexa (COM) was examined in subcutaneous transplantation mouse models using MM.1S and MM.1R cell lines. The result indicated that COM significantly inhibited MM.1R tumor growth compared with the DHA and ART group. (B) After treatment, the tumor weight of COM group was lower than that of the DHA or ART group. *P < 0.05, **P < 0.01. (C) The NOD-SCID mice injected subcutaneously with MM.1S (left) and MM.1R (right) cells were sacrificed and tumors were isolated on Day 39.


Despite the advancements in therapeutic target discovery and targeted therapy, MM is still incurable. Typically, MM patients respond to the treatment initially, but the majority of them ultimately relapse. Therefore, the development of novel treatment is extremely urgent. Artemisinin-type drugs are typically metabolized in vivo to the active metabolite DHA (41), and the anticancer effects of ART and its derivative DHA have been demonstrated in a number of different types of cancer (4145). For instance, in breast cancer, DHA induced apoptosis and G0/G1 arrest by activating Bid, increased the expression of Bim, decreased the expression of Bcl-2, induced the translocation of Cyt C from the mitochondria to the cytosol, and increased the expression of caspase-8, and cleaved caspase-9 (43, 44). However, so far, there have been no studies examining the effects of DHA on MM, and in particular, the combination of DHA with other chemotherapeutic drugs including Dexa on MM. Our study first evaluated the effects of ART and DHA on MM in vitro and in vivo, and demonstrated that DHA could possess a greater efficacy than ART against MM (Figures 1A,B). At the cellular level, ART could only induce weak apoptosis of MM cells and decrease the G2/M staged cells (Figures 1C,D) compared to DHA, suggesting that ART could be converted into activated DHA in the microenvironment of MM cells. The in vivo study in 5TMM3VT myeloma C57BL/KaLwRij mice showed that both ART and DHA could improve the survival rate of the mice; however, MM mice treated with DHA had a longer survival than ART-treated mice. This phenomenon may be due to the fact that ART in vivo is not completely converted to the activated DHA.

Consistent with previous reports that DHA prevented MM tumor growth through a caspase-mediated pathway (43), the current study found that the mitochondria were the primary target by which DHA exerted its effects. DHA activated apoptosis via caspase-3, followed by PARP cleavage (Figure 3A), and decreased Δψm (Figure 5B), which in turn, increased the translocation of Cyt C from the mitochondria to the cytoplasm (Figure 5C) (45). Additionally, DHA interacted with iron and activated oxygen consumption (Figures 2B,C), resulting in increased production of ROS (Figures 2A, 5A), and this was assumed to be the after-effects of permeabilization of the outer mitochondrial membrane (46), since outer mitochondrial membrane permeabilization resulted in a loss of Δψm and an increase in ROS levels (47). For MM treatment, the drug resistance and its related relapse are the major clinical obstacles, we further explored that DHA is effective in treating drug-resistant MM (Figures 4A,B). DHA-induced mitochondrial apoptotic pathways are largely related to those pathways affected by Dexa. Dexa increases the releasing of the mitochondrial apoptogenic factors Second mitochondrial-derived activator (Smac)/DIABLO and Cyt C from the mitochondria to the cytosol, and activates the SAPK/JNK-independent pathway, which is associated with downregulation of MAPK and p70S6K (48). However, DHA reduced the expression of Bad and Bcl-2 (Figures 3B,C), while Dexa increased Bcl-2 expression in both MM.1S and MM.1R cells within the first 48 h at lower concentrations (Figure 5E) and suppressed the growth of MM cells at higher concentrations (Figure 5F). Therefore, we infer that DHA might counteract the effects of Dexa to balance Bcl-2 expression (Figure 5G), thus regulating the translocation of Cyt C to further promote cell apoptosis (summarized in Figure 7). This hypothesis is further strengthened by the report that Bcl-2 inhibits the translocation of Cyt C from the mitochondria to the cytoplasm (49), and Cyt C increases caspase-3 expression and ultimately induces caspase-3-mediated apoptosis (50).


Figure 7. Summary of the effect of DHA and Dexa on MM. In previous studies, DHA was found to influence the progression of different cancers by regulating the expression of mitochondrial, nucleus and cytoplasmic proteins. On protein level, Dexa inhibits the proliferation of MM cells by mainly adjusting the expression of Smac, cytochrome C, caspase-3, caspase-9, MAPK and p70S6K. In our study, DHA was found to not only induce the mitochondrial apoptosis pathway, but also inhibit Bcl-2 expression induced by Dexa. A synergism of DHA and Dexa increases ROS levels and translocation of cytochrome C from mitochondria to the cytoplasm, and then alters mitochondrial membrane potential as well as caspase-mediated apoptosis. (The triangle on the left shows the effect of Dexa on the protein expression, and the other side shows the effect of DHA on the protein expression. The red triangle indicates an increase in protein expression and the blue triangle indicates a decrease in the protein expression. The blue characters and lines represent Dexa-acting proteins. The black line and the bold characters represent the summary of this study, and the gray line represents the summary of the literature study).

Therefore, we further confirmed that DHA could overcome the Dexa resistance in MM (Figures 4A–C). DHA-induced cytotoxicity in MM.1S and MM.1R cells is enhanced by Dexa, suggesting that the apoptotic signaling cascades by which DHA and Dexa exert their effects may be different (Figure 4D). It has been demonstrated that Dexa-induced caspase-9 activation via a Smac-dependent and Cyt C-independent pathway (51), whereas, in the present study, DHA activated caspase-3 and increased the release of Cyt C from the mitochondria (Figures 5C,D). DHA synergistically augmented the effect of Dexa-induced cytotoxicity (Figure 4B), including the decrease in proliferation and the increase in apoptosis of MM cells (Figure 4D). Importantly, DHA re-sensitized MM.1R cells to Dexa in vitro and in vivo (Figures 6A–C). Through these mechanisms, DHA alone not only exhibits anticancer effects in MM but also augments and complements the effects of the widely used anti-MM agent Dexa. These data provide a rationale for future clinical studies to develop a novel therapeutic regimen comprising DHA alone or in combination with other agents for patients with MM particularly for relapsed/refractory MM patients.

In conclusion, our study provides the first evidence that DHA may be an effective standalone treatment for MM patients and that it can overcome Dexa resistance. Mechanistically, DHA prevents MM development and progression through mitochondrial apoptotic pathway involving Fe2+ and oxygen. DHA augments the effects of Dexa, resulting in increased production of ROS and translocation of Cyt C from the mitochondria to the cytoplasm, and downregulates Dexa-induced expression of Bcl-2, a biomarker of Dexa resistance. Therefore, DHA may be a promising therapeutic option for patients with refractory/relapsed MM. Further studies are necessary to determine the clinical efficacy and detailed therapeutic targets.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation, to any qualified researcher.

Ethics Statement

The studies involving human participants were reviewed and approved by The operations of primary human CD138+ cells were approved by the ethics committees of Affiliated Hospital of Nanjing University of Chinese Medicine (No. 2018NL-KS13). The patients/participants provided their written informed consent to participate in this study. The animal study was reviewed and approved by Animals experiments were approved by the Ethics Committee of Nanjing University of Chinese Medicine (Nanjing, China; animal ethics registration no. ACU170501 and 201905A003).

Author Contributions

This study was designed and conceived by YY and CG. Experiments were performed by YC, RL, YZ, SZ, and JQ. DY performed data analysis. AJ and MB provided technical counseling on experiments. YC wrote the manuscript. YY and CG revised the manuscript. All authors read and approved the final version of the manuscript.


This work was supported by National Natural Science Foundation of China 81670200 (to YY), 81970196 (to CG); Innovation Team of Six Talent Peaks Project in Jiangsu Province TD-SWYY-015 (to CG); National key research and development program-precision medicine sub-program 2016YFC0905900 (to YY); A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (Integration of Chinese and Western Medicine).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


1. Guerrero-Garcia TA, Mogollon RJ, Castillo JJ. Bortezomib in plasmablastic lymphoma: a glimpse of hope for a hard-to-treat disease. Leukemia res. (2017) 62:12–6. doi: 10.1016/j.leukres.2017.09.020

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Shirley M. Ixazomib: first global approval. Drugs. (2016) 76:405–11. doi: 10.1007/s40265-016-0548-5

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Ziogas DC, Terpos E, Kastritis E, Dimopoulos MA. An overview of the role of carfilzomib in the treatment of multiple myeloma. Expert Opin Pharmacother. (2017) 18:1883–97. doi: 10.1080/14656566.2017.1404575

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Passey C, Sheng J, Mora J, Tendolkar A, Robbins M, Dodge R, et al. The clinical pharmacology of elotuzumab. Clin Pharmacokinet. (2018) 57:297–313. doi: 10.1007/s40262-017-0585-6

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Blair HA. Daratumumab: a review in relapsed and/or refractory multiple myeloma. Drugs. (2017) 77:2013–24. doi: 10.1007/s40265-017-0837-7

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Hoy S M. Pomalidomide: a review in relapsed and refractory multiple myeloma. Drugs. (2017) 77:1897–908. doi: 10.1007/s40265-017-0833-y

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Chen N, Zhou S, Palmisano M. Clinical pharmacokinetics and pharmacodynamics of lenalidomide. Clin Pharmacokinet. (2017) 56:139–52. doi: 10.1007/s40262-016-0432-1

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Bazarbachi AH, Al Hamed R, Malard F, Harousseau JL, Mohty M. Relapsed refractory multiple myeloma: a comprehensive overview. Leukemia. (2019) 33:2343–57. doi: 10.1038/s41375-019-0561-2

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Wang Z, Wu Z, Liu Y, Han W. New development in CAR-T cell therapy. J hematol oncol. (2017) 10:53. doi: 10.1186/s13045-017-0423-1

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Dimopoulos MA, Oriol A, Nahi H, San-Miguel J, Bahlis NJ, Usmani SZ, et al. Daratumumab, lenalidomide, and dexamethasone for multiple myeloma. N Engl j med. (2016) 375:1319–31. doi: 10.1056/NEJMoa1607751

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Kumar SK, Lee JH, Lahuerta JJ, Morgan G, Richardson PG, Crowley J, et al. Risk of progression and survival in multiple myeloma relapsing after therapy with IMiDs and bortezomib: a multicenter international myeloma working group study. Leukemia. (2012) 26:149–57. doi: 10.1038/leu.2011.196

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Slezakova S, Ruda-Kucerova J. Anticancer activity of artemisinin and its derivatives. Anticancer Res. (2017) 37:5995–6003. doi: 10.21873/anticanres.12046

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Wang Y, Xu X, Wu X, Chen W, Huang F, Gui X. Dihydroartemisinin treatment of multiple myeloma cells causes activation of c-jun leading to cell apoptosis. Oncol Lett. (2018) 15:2562–6. doi: 10.3892/ol.2017.7582

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Huang L, Luo Y, Sun X, Ju H, Tian J, Yu BY. An artemisinin-mediated ROS evolving and dual protease light-up nanocapsule for real-time imaging of lysosomal tumor cell death. Biosens Bioelectron. (2017) 92:724–32. doi: 10.1016/j.bios.2016.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Shi X, Wang L, Ren L, Li J, Li S, Cui Q, et al. Dihydroartemisinin, an antimalarial drug, induces absent in melanoma 2 inflammasome activation and autophagy in human hepatocellular carcinoma HepG2215 cells. Phytother res. (2019) 33:1413–25. doi: 10.1002/ptr.6332

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Denysenko T, Annovazzi L, Cassoni P, Melcarne A, Mellai M, Schiffer D. WNT/beta-catenin signaling pathway and downstream modulators in low- and high-grade glioma. Cancer genom proteom. (2016) 13:31–45.

PubMed Abstract | Google Scholar

17. Chen H, Shi L, Yang X, Li S, Guo X, Pan L. Artesunate inhibiting angiogenesis induced by human myeloma RPMI8226 cells. Int j hematol. (2010) 92:587–97. doi: 10.1007/s12185-010-0697-3

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Lin R, Zhang Z, Chen L, Zhou Y, Zou P, Feng C, et al. Dihydroartemisinin (DHA) induces ferroptosis and causes cell cycle arrest in head and neck carcinoma cells. Cancer Lett. (2016) 381:165–75. doi: 10.1016/j.canlet.2016.07.033

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Mu D, Zhang W, Chu D, Liu T, Xie Y, Fu E, et al. The role of calcium, P38 MAPK in dihydroartemisinin-induced apoptosis of lung cancer PC-14 cells. Cancer chemother pharmacol. (2007) 61:639–45. doi: 10.1007/s00280-007-0517-5

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Chen J, Chen X, Wang F, Gao H, Hu W. Dihydroartemisinin suppresses glioma proliferation and invasion via inhibition of the ADAM17 pathway. Neurol Sci. (2015) 36:435–40. doi: 10.1007/s10072-014-1963-6

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Crespo-Ortiz MP, Wei MQ. Antitumor activity of artemisinin and its derivatives: from a well-known antimalarial agent to a potential anticancer drug. J Biomed Biotechnol. (2012) 2012:247597. doi: 10.1155/2012/247597

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Wang SJ, Gao Y, Chen H, Kong R, Jiang HC, Pan SH, et al. Dihydroartemisinin inactivates NF-kappaB and potentiates the anti-tumor effect of gemcitabine on pancreatic cancer both in vitro and in vivo. Cancer Lett. (2010) 293:99–108. doi: 10.1016/j.canlet.2010.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Zhou HJ, Zhang JL, Li A, Wang Z, Lou XE. Dihydroartemisinin improves the efficiency of chemotherapeutics in lung carcinomas in vivo and inhibits murine lewis lung carcinoma cell line growth in vitro. Cancer chemother pharmacol. (2010) 66:21–9. doi: 10.1007/s00280-009-1129-z

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Hou J, Wang D, Zhang R, Wang H. Experimental therapy of hepatoma with artemisinin and its derivatives: in vitro and in vivo activity, chemosensitization, and mechanisms of action. Clin Cancer Res. (2008) 14:5519–30. doi: 10.1158/1078-0432.ccr-08-0197

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Ge M, Hu Z, Chen X, Du G, Wang H, Liu R, et al. PCC0208018 exerts antitumor effects by activating effector T cells. Int j immunopathol pharmacol. (2019) 33:2058738419843366. doi: 10.1177/2058738419843366

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Zhang A, Sheng Y, Zou M. Antiproliferative activity of Alisol B in MDA-MB-231 cells is mediated by apoptosis, dysregulation of mitochondrial functions, cell cycle arrest and generation of reactive oxygen species. Biomed Pharmacother. (2017) 87:110–7. doi: 10.1016/j.biopha.2016.12.088

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Zhang Z, Qi D, Wang X, Gao Z, Li P, Liu W, et al. Protective effect of salvianolic acid a on ischaemia-reperfusion acute kidney injury in rats through protecting against peritubular capillary endothelium damages. PTR. (2018) 32:103–14. doi: 10.1002/ptr.5954

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Lemieux H, Semsroth S, Antretter H, Hofer D, Gnaiger E. Mitochondrial respiratory control and early defects of oxidative phosphorylation in the failing human heart. Int J Biochem Cell Biol. (2011) 43:1729–38. doi: 10.1016/j.biocel.2011.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Shu T, Lv Z, Xie Y, Tang J, Mao X. Hepcidin as a key iron regulator mediates glucotoxicity-induced pancreatic beta-cell dysfunction. Endocr Connect. (2019) 8:150–61. doi: 10.1530/EC-18-0516

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Naito S, von Eschenbach AC, Giavazzi R, Fidler IJ. Growth and metastasis of tumor cells isolated from a human renal cell carcinoma implanted into different organs of nude mice. Cancer res. (1986) 46:4109–15.

PubMed Abstract | Google Scholar

31. Tang ZH, Cao WX, Su MX, Chen X, Lu JJ. Osimertinib induces autophagy and apoptosis via reactive oxygen species generation in non-small cell lung cancer cells. Toxicol applpharmacol. (2017) 321:18–26. doi: 10.1016/j.taap.2017.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Moloney JN, Cotter TG. ROS signalling in the biology of cancer. Sem cell dev biol. (2018) 80:50–64. doi: 10.1016/j.semcdb.2017.05.023

PubMed Abstract | CrossRef Full Text | Google Scholar

33. O'Neill PM, Barton VE, Ward SA. The molecular mechanism of action of artemisinin–the debate continues. Molecules. (2010) 15:1705–21. doi: 10.3390/molecules15031705

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Hu W, Gazitt Y. bcl-2 plays a major role in resistance to dexamethasone induced apoptosis in multiple myeloma cell lines. Int J Oncol. (1996) 9:375–81. doi: 10.3892/ijo.9.2.375

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Gazitt Y, Fey V, Thomas C, Alvarez R. Bcl-2 overexpression is associated with resistance to dexamethasone, but not melphalan, in multiple myeloma cells. Int J Oncol. (1998) 13:397–405. doi: 10.3892/ijo.13.2.397

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Moalli PA, Pillay S, Weiner D, Leikin R, Rosen S T. A mechanism of resistance to glucocorticoids in multiple myeloma: transient expression of a truncated glucocorticoid receptor mRNA. Blood. (1992) 79:213–22.

PubMed Abstract | Google Scholar

37. Xu J, Su Y, Xu A, Fan F, Mu S, Chen L, et al. miR-221/222-mediated inhibition of autophagy promotes dexamethasone resistance in multiple myeloma. Mol ther. (2019) 27:559–70. doi: 10.1016/j.ymthe.2019.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Zhu Y, Li M, Wang X, Jin H, Liu S, Xu J, et al. Caspase cleavage of cytochrome c1 disrupts mitochondrial function and enhances cytochrome c release. Cell res. (2012) 22:127–41. doi: 10.1038/cr.2011.82

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Tafani M, Schneider TG, Pastorino JG, Farber JL. Cytochrome c-dependent activation of caspase-3 by tumor necrosis factor requires induction of the mitochondrial permeability transition. Am j pathol. (2000) 156:2111–21. doi: 10.1016/s0002-9440(10)65082-1

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Chien CT, Chang TC, Tsai CY, Shyue SK, Lai MK. Adenovirus-mediated bcl-2 gene transfer inhibits renal ischemia/reperfusion induced tubular oxidative stress and apoptosis. Am J Transplant. (2005) 5:1194–203. doi: 10.1111/j.1600-6143.2005.00826.x

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Melendez V, Peggins JO, Brewer TG, Theoharides AD. Determination of the antimalarial arteether and its deethylated metabolite dihydroartemisinin in plasma by high-performance liquid chromatography with reductive electrochemical detection. J pharm sci. (1991) 80:132–8. doi: 10.1002/jps.2600800209

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Drenberg CD, Buaboonnam J, Orwick SJ, Hu S, Li L, Fan Y, et al. Evaluation of artemisinins for the treatment of acute myeloid leukemia. Cancer chemother pharmacol. (2016) 77:1231–43. doi: 10.1007/s00280-016-3038-2

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Lucibello M, Adanti S, Antelmi E, Dezi D, Ciafre S, Carcangiu ML, et al. Phospho-TCTP as a therapeutic target of dihydroartemisinin for aggressive breast cancer cells. Oncotarget. (2015) 6:5275–91. doi: 10.18632/oncotarget.2971

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Mao H, Gu H, Qu X, Sun J, Song B, Gao W, et al. Involvement of the mitochondrial pathway and bim/bcl-2 balance in dihydroartemisinin-induced apoptosis in human breast cancer in vitro. Int J Mol Med. (2013) 31:213–8. doi: 10.3892/ijmm.2012.1176

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Ganta KK, Mandal A, Chaubey B. Depolarization of mitochondrial membrane potential is the initial event in non-nucleoside reverse transcriptase inhibitor efavirenz induced cytotoxicity. Cell biol toxicol. (2017) 33:69–82. doi: 10.1007/s10565-016-9362-9

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Abuarab N, Munsey TS, Jiang LH, Li J, Sivaprasadarao A. High glucose-induced ROS activates TRPM2 to trigger lysosomal membrane permeabilization and Zn(2+)-mediated mitochondrial fission. Sci Signal. (2017) 10:eaal4161. doi: 10.1126/scisignal.aal4161

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Hou XS, Wang HS, Mugaka BP, Yang GJ, Ding Y. Mitochondria: promising organelle targets for cancer diagnosis and treatment. Biomate sci. (2018) 6:2786–97. doi: 10.1039/c8bm00673c

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Chauhan D, Pandey P, Ogata A, Teoh G, Treon S, Urashima M, et al. Dexamethasone induces apoptosis of multiple myeloma cells in a JNK/SAP kinase independent mechanism. Oncogene. (1997) 15:837–43. doi: 10.1038/sj.onc.1201253

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Kvansakul M, Hinds MG. The Bcl-2 family: structures, interactions and targets for drug discovery. Apoptosis. (2015) 20:136–50. doi: 10.1007/s10495-014-1051-7

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Shakeri R, Kheirollahi A, Davoodi J. Apaf-1: regulation and function in cell death. Biochimie. (2017) 135:111–25. doi: 10.1016/j.biochi.2017.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Chauhan D, Hideshima T, Rosen S, Reed JC, Kharbanda S, Anderson KC. Apaf-1/cytochrome c-independent and Smac-dependent induction of apoptosis in multiple myeloma (MM) cells. J biol chem. (2001) 276:24453–6. doi: 10.1074/jbc.C100074200

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: dihydroartemisinin, artemisinin, multiple myeloma, dexamethasone, drug resistance

Citation: Chen Y, Li R, Zhu Y, Zhong S, Qian J, Yang D, Jurczyszyn A, Beksac M, Gu C and Yang Y (2020) Dihydroartemisinin Induces Growth Arrest and Overcomes Dexamethasone Resistance in Multiple Myeloma. Front. Oncol. 10:767. doi: 10.3389/fonc.2020.00767

Received: 03 November 2019; Accepted: 21 April 2020;
Published: 15 May 2020.

Edited by:

Francesca Vinchi, Lindsley F. Kimball Research Institute, United States

Reviewed by:

Guru Prasad Maiti, Oklahoma Medical Research Foundation, United States
Rehan Khan, Mayo Clinic Arizona, United States
Yi Miao, Nanjing Medical University, China

Copyright © 2020 Chen, Li, Zhu, Zhong, Qian, Yang, Jurczyszyn, Beksac, Gu and Yang. 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: Chunyan Gu,; Ye Yang,