Abstract
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GSTZ1 sensitizes hepatocellular carcinoma cells to sorafenib-induced ferroptosis via inhibition of NRF2/GPX4 axis
Abstract
Increasing evidence supports that ferroptosis plays an important role in tumor growth inhibition. Sorafenib, originally identified as an inhibitor of multiple oncogenic kinases, has been shown to induce ferroptosis in hepatocellular carcinoma (HCC). However, some hepatoma cell lines are less sensitive to sorafenib-induced ferroptotic cell death. Glutathione S-transferase zeta 1 (GSTZ1), an enzyme in the catabolism of phenylalanine, suppresses the expression of the master regulator of cellular redox homeostasis nuclear factor erythroid 2-related factor 2 (NRF2). This study aimed to investigate the role and underlying molecular mechanisms of GSTZ1 in sorafenib-induced ferroptosis in HCC. GSTZ1 was significantly downregulated in sorafenib-resistant hepatoma cells. Mechanistically, GSTZ1 depletion enhanced the activation of the NRF2 pathway and increased the glutathione peroxidase 4 (GPX4) level, thereby suppressing sorafenib-induced ferroptosis. The combination of sorafenib and RSL3, a GPX4 inhibitor, significantly inhibited GSTZ1-deficient cell viability and promoted ferroptosis and increased ectopic iron and lipid peroxides. In vivo, the combination of sorafenib and RSL3 had a synergic therapeutic effect on HCC progression in Gstz1−/− mice. In conclusion, this finding demonstrates that GSTZ1 enhanced sorafenib-induced ferroptosis by inhibiting the NRF2/GPX4 axis in HCC cells. Combination therapy of sorafenib and GPX4 inhibitor RSL3 may be a promising strategy in HCC treatment.
Introduction
Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death worldwide1. In the early stages of HCC, curative treatment can be achieved with tumor ablation, resection, or liver transplantation2. However, the majority of HCC patients are already in the middle-late stage when diagnosed; thus, the optimal period for curative treatment is missed. Sorafenib, a multi-target kinase inhibitor, has been confirmed to prolong the survival of advanced HCC patients to 6.5 months in phase III trial3. Thus, it has been approved by the Food and Drug Agency as a first-line treatment for advanced HCC. However, several patients with advanced HCC have limited survival benefits due to acquired resistance to sorafenib, leading to a high recurrence rate4. Therefore, the mechanism of sorafenib resistance needs to be explored, and new molecular targets should be identified.
Ferroptosis is a newly described programmed form of cell death characterized by iron-dependent accumulation of lipid peroxides to lethal amounts, different from the traditional cell death forms of apoptosis, necroptosis, and autophagy5. Growing evidence indicates that ferroptosis can be induced by inhibiting cystine/glutamate transporter (SLC7A11/xCT) activity, downregulating glutathione peroxidase 4 (GPX4), and accumulating iron and lipid reactive oxygen species (ROS)6–8. Recent reports have shown that sorafenib could induce ferroptosis; thus, targeting ferroptosis to improve sorafenib therapy might be a new promising strategy for HCC treatment9–11.
Glutathione S-transferases (GSTs) are a class of phase II detoxification enzymes that catalyze the conjugation of glutathione (GSH) to endogenous or exogenous electrophilic compounds12. GSTs, including GSTM and GSTP13–15, are involved in the development of chemotherapy resistance16,17. Glutathione S-transferase zeta 1 (GSTZ1) is an important member of the GST superfamily. It participates in the catabolism of phenylalanine/tyrosine and catalyzes the isomerization of maleylacetoacetate to fumarylacetoacetate18. We previously found that GSTZ1 was poorly expressed in HCC, and GSTZ1 deficiency could lead to metabolite succinylacetone accumulation and thereby activate the nuclear factor erythroid 2-related factor 2 (NRF2) signaling pathway19,20. Considering the importance of GSTZ1 in the development and progression of HCC, GSTZ1 may be an anticancer hallmark for sorafenib resistance in HCC. Therefore, it is crucial to investigate the role of GSTZ1 in chemotherapeutic resistance and elucidate underlying mechanisms. In the present study, we investigated the role of GSTZ1 in sorafenib-induced ferroptosis in HCC cell lines and in Gstz1-knockout mice and determined the involved molecular mechanisms. Our study not only identifies a novel mechanism of sorafenib resistance but also suggests a novel link between GSTZ1 and ferroptosis.
Results
GSTZ1 is downregulated in sorafenib-resistant HCC
To investigate the molecular mechanism of sorafenib resistance in HCC, we generated sorafenib-resistant (SR) HCC cell lines in vitro. Resistance was achieved by gradually increasing the concentration of sorafenib in the medium over repeated passages21. Finally, resistant HepG2 and SNU449 cell lines were established. We confirmed the acquired resistance of these resistant cells, named HepG2-SR and SUN449-SR, toward sorafenib by comparing them to the parental cells. The half-maximal inhibitory concentrations (IC50) of HepG2-SR and SNU449-SR cells to sorafenib were 2–3 times higher than that of the parental cells at 17.09 and 15.43μM, respectively (Fig. (Fig.1A).1A). In addition, we evaluated the cell viability of sensitive and resistant cells treated with sorafenib over a series of time points or at different concentrations for 24h. We found that the SR cells became less sensitive to sorafenib (Fig. 1B, C), and the growth rate was remarkably increased (Fig. (Fig.1D).1D). To verify the role of GSTZ1 in SR HCC, we comprehensively analyzed the expression levels of GSTZ1 in HepG2 cells and HepG2-SR cells in GEO dataset GSE62813. The results showed that GSTZ1 was significantly downregulated in SR cells (Fig. (Fig.1E).1E). Subsequently, we further validated the low levels of GSTZ1 expression in SR cell lines via quantitative reverse-transcription polymerase chain reaction (qRT-PCR) and western blotting (Fig. 1F, G). Together, these data indicate that GSTZ1 may play a negative role in mediating sorafenib resistance in HCC cells.
GSTZ1 knockout promotes sorafenib resistance in HCC
To further evaluate whether GSTZ1 is related to sorafenib resistance in HCC, we found that overexpression of GSTZ1 through an adenovirus system19,20 (Fig. (Fig.2A)2A) increased the sensitivity of HCC cells to sorafenib and inhibited cell proliferation via morphological observation (Fig. (Fig.2B).2B). Conversely, knockout of GSTZ1 in HepG2 and SNU449 cells via the CRISPR/Cas9 system19,20 (Fig. (Fig.2C)2C) decreased sorafenib sensitivity and weakened its growth inhibition effect (Fig. (Fig.2D).2D). Next, we analyzed the cell viability of GSTZ1 overexpression (OE) and knockout (KO) cells treated with sorafenib over a series of time points or at different concentrations for 24h by cell growth curve. As expected, GSTZ1 overexpression significantly enhanced the sensitivity of HCC cell lines to sorafenib (Fig. 2E, F). As expected, the IC50 value of GSTZ1-OE cells was decreased compared to that of the control groups, whereas the IC50 value of GSTZ1-KO groups was increased (Fig. 2G, H). Taken all together, our results showed that GSTZ1 deficiency enhanced sorafenib resistance in HCC.
GSTZ1 overexpression enhances sorafenib-induced ferroptosis in HCC
Recent studies indicate that ferroptosis plays a key role in the chemoresistance of human cancers22–24. We confirmed that sorafenib-induced cell death in HCC cell lines was blocked by ferrostatin-1 (Fer-1, an inhibitor of ferroptosis), deferoxamine (DFO, an iron chelator), and N-acetyl-L-cysteine (NAC, an antioxidant), but not by bafilomycin A1 (Baf-A1, an inhibitor of autophagy), ZVAD-FMK, and necrosulfonamide (NSA, an inhibitor of necroptosis). This suggested that ferroptosis, rather than apoptosis, is essential for sorafenib-induced cell death in HCC (Supplementary Fig. 1A, B), consistent with findings of the previous studies11,25,26. To determine whether GSTZ1 played a role in ferroptosis to reduce sorafenib resistance in HCC, transmission electron microscopy (TEM) was used to observe morphological changes in sorafenib-induced HCC cells with or without GSTZ1 depletion. GSTZ1-OE cells treated with sorafenib displayed smaller mitochondria, diminished or vanished mitochondria crista, and condensed mitochondrial membrane densities compared to parental cells, whereas GSTZ1-KO alleviated the abnormalities of mitochondrial morphology and cell death induced by sorafenib (Fig. (Fig.3A).3A). To further verify this observation, we measured ROS, iron, and lipid peroxidation levels, which are the primary cause of ferroptosis27, after interference with GSTZ1 expression. Results showed that GSTZ1 overexpression significantly increased ROS, iron, and MDA levels in sorafenib-induced HCC cell lines (Fig. 3B–D and Supplementary Fig. 1C, D), whereas GSTZ1 knockout decreased their levels. In addition, we assessed mRNA and protein expression levels of ferroptosis-associated genes. Results showed that GSTZ1-OE decreased the expression levels of ferroptosis-related genes in sorafenib or erastin (an inducer of ferroptosis)-treated hepatoma cells, including GPX4, FTL, and SLC7A11. In contrast, GSTZ1-KO increased the levels of these above genes (Fig. 3E–G and Supplementary Fig. 1E, F). Interestingly, ferroptosis-associated genes were also enhanced in HepG2-SR and SNU449-SR cells (Fig. 4A, B), which had relatively lower levels of GSTZ1 than the parental cells. Meanwhile, GSTZ1 overexpression in drug-resistant cells reduced the levels of ferroptosis-related genes (Fig. (Fig.4C),4C), increased the accumulation of iron and MDA levels (Fig. 4D, E), decreased the intracellular GSH level (Fig. (Fig.4F),4F), and enhanced the inhibition of sorafenib to resistant cells (Fig. (Fig.4G).4G). The GSTZ1 Ser14→Ala mutation has the greatest detrimental effect on GSTZ1 activity28. We then generated GSTZ-KO and SR cells expressing S14A GSTZ1 (Supplementary Fig. 2A, B) and found that upon sorafenib stimulation, iron and MDA levels were reduced in the cells expressing S14A GSTZ1 compared to wild-type (WT)-transduced cells (Supplementary Fig. 2C–F). This suggests that GSTZ1 S14A failed to sensitize hepatoma cells to sorafenib-induced ferroptosis (Supplementary Fig. 2G, H). To further identify the role of ferroptosis in sorafenib resistance caused by GSTZ1 deficiency, we examined the curative effects of sorafenib by interfering with the ferroptosis pathway. We observed that ferrostatin-1 inhibited sorafenib-induced GSTZ1-OE cell death, whereas erastin promoted GSTZ1-KO cell death (Fig. (Fig.4H).4H). Together, these results suggested that GSTZ1 increased the sensitivity of hepatoma cells to sorafenib by inducing ferroptosis.
GSTZ1 sensitizes hepatoma cells to sorafenib-induced ferroptosis through the NRF2 signaling pathway
Previous studies have shown that GSTZ1 deficiency leads to the accumulation of endogenous metabolite succinylacetone, contributing to NRF2 activation via alkylating Kelch-like ECH-associated protein 1 (KEAP1) cysteine residues19,20. Activation of NRF2 pathway plays a critical role in protecting HCC cells against sorafenib-induced ferroptosis26. To verify whether GSTZ1 regulated sorafenib-induced ferroptosis through the NRF2 signaling pathway, we blocked the NRF2 pathway using brusatol (an inhibitor of NRF2) or Flag-tagged KEAP129 (a cytosolic inhibitor of NRF2) in GSTZ1-KO cells. We then observed the characteristic indicators related to ferroptosis, including iron, MDA, ROS, and 4-HNE levels. The results demonstrated that NRF2 inhibition significantly increased the accumulation of these indicators in GSTZ1-KO cells (Fig. 5A–D right, Fig. 5E, F bottom, and Supplementary Fig. 3A–C bottom), whereas NRF2 activation using tertiary butylhydroquinone (tBHQ, an activator of NRF2) and Myc-tagged NRF2 yielded opposite results in GSTZ1-OE cells (Fig. 5A–D left, Fig. 5E–F top and Supplementary Fig. 3A–C top). Moreover, the morphological images also indicated that NRF2 inhibition increased the efficiency of sorafenib for growth inhibition in GSTZ1-depleted HCCs, whereas NRF2 activation decreased that in GSTZ1-OE cells (Fig. (Fig.6A).6A). Importantly, western blotting revealed that the expression of ferroptosis-related proteins changed accordingly in GSTZ1-OE and -KO cells when treated with tBHQ or brusatol (Fig. (Fig.6B6B and Supplementary Fig. 3D). The above data suggested that GSTZ1 depletion alleviated sorafenib-induced ferroptosis via activation of the NRF2 pathway.
As GPX4 is involved in ferroptosis and a transcriptional target gene of NRF230,31, we utilized RSL3 to further examine whether ferroptosis is involved in the sensitivity of HCC cells to sorafenib. Interestingly, simultaneous treatment with sorafenib and RSL3 increased the accumulation of iron and MDA levels, decreased the intracellular GSH level, enhanced sorafenib-induced ferroptosis, and dramatically inhibited cell growth compared to sorafenib or RSL3 alone in GSTZ1-KO and SR cells (Fig. 6C–F). Collectively, these findings indicated that the inhibition of NRF2 could markedly sensitize GSTZ1-deficient hepatoma cells to sorafenib treatment. Furthermore, targeting GPX4 also improved the response of hepatoma cells to sorafenib.
RSL3 enhances the anticancer activity of sorafenib in Gstz1−/− mice
To further investigate the role of GSTZ1 in mediating sorafenib resistance in HCC progression in vivo, we established the mouse model of liver cancer induced by DEN/CCl4 as described previously20 and drug administration with three regimens: DMSO, sorafenib (30mg/kg, every 2 days for 4 weeks), RSL3 (10mg/kg, every 2 days for 4 weeks) (Fig. (Fig.7A).7A). Compared with WT mice, Gstz1 knockout significantly reduced the inhibitory effects of sorafenib treatment in vivo than that in WT mice, as indicated by the increased tumor sizes, number of tumor nodules, and a higher level of alanine aminotransferase (ALT) in serum (Fig. 7B–E). Moreover, sorafenib combined with RSL3 had a more significant protective effect on tumorigenesis in Gstz1−/− mice than sorafenib alone. To substantiate the role of GSTZ1 in regulating ferroptosis-mediated sorafenib resistance in vivo, we detected the levels of iron, 4-HNE modification, MDA, ROS, and ferroptosis-associated gene expression in the liver tumor tissues. Consistent with the results in vitro, Gstz1 knockout decreased the sensitivity of HCC to sorafenib by weakening ferroptosis (Fig. 7B–J and Supplementary Fig. 4A). Meanwhile, RSL3/sorafenib combination treatment reduced drug resistance caused by GSTZ1 depletion (Fig. 7B–J). Furthermore, the histological analysis indicated that combination treatment groups exhibited weaker immunoreactivity for GPX4 and Ki67. RSL3 significantly enhanced the inhibitory effects of sorafenib on cell proliferation in Gstz1−/− mice, which was highly consistent with our in vitro results (Fig. (Fig.7K).7K). These results indicate that targeting the NRF2/GPX4 axis using RSL3 significantly enhances sorafenib-induced ferroptosis and inhibits hepatocarcinogenesis in vivo.
Discussion
The incidence of HCC continues to increase globally, and HCC remains to have high incidence and mortality rates32. Sorafenib resistance remains a treatment challenge in HCC and leads to poor prognosis33. Therefore, the comprehensive elucidation of the underlying mechanism of sorafenib resistance in HCC may improve the curative effect of chemotherapy and guide the clinical medication. Herein, we found that GSTZ1 depletion activated the NRF2/GPX4 pathway and inhibited sorafenib-induced cell death, accompanied by the compromised accumulation of iron level, lipid peroxidation, and subsequent ferroptosis. Hence, blocking the NRF2/GPX4 pathway to enhance the anticancer activity of sorafenib by inducing ferroptosis represents a promising therapeutic strategy for the treatment of HCC (Fig. (Fig.88).
GSTs are phase II detoxification enzymes that play important roles in protecting cellular macromolecules from both oxidative stress and carcinogenic electrophiles12. The major roles of GSTs in the detoxification of xenobiotics predict their important role in drug resistance. Tumor cells may develop resistance to alkylating anticancer drugs by increasing the levels of GSTs16. Several subclasses in the GST family contribute to chemoresistance in various cancers15,34–39. GSTM1 was reported to be a predictive biomarker for the efficacy of chemotherapy in breast cancer and ovarian cancer15,34. GSTP expression was also correlated with platinum drug chemosensitivity and prognosis in ovarian cancer, pancreatic ductal adenocarcinoma, and lung cancer35–38. As a member of the GST family, GSTZ1 plays a similar detoxification role, but it is independently characterized as a maleylacetoacetate isomerase (MAAI), which is essential for phenylalanine metabolism18. We previously reported that GSTZ1 is downregulated in HCC, leading to increased accumulation of the carcinogenic metabolite succinylacetone and activation of the NRF2/IGF1R pathways through inactivation of KEAP119. The current study demonstrates that GSTZ1 is also downregulated in SR HCC cells. Furthermore, re-expression of GSTZ1 enhances the sensitivity of HCC cells to sorafenib treatment, indicating that GSTZ1 plays a negative regulatory role in sorafenib resistance.
Iron is an essential element for the synthesis of iron sulfur clusters, serving an important role in numerous cellular processes40. Cancer cells exhibit a higher dependence on iron than normal cells41, making them more susceptible to iron-catalyzed necrosis. This form of cell death was first defined as ferroptosis in 20125 and was characterized by the accumulation of lipid peroxidation products and lethal ROS derived from iron metabolism6,27. An increasing number of small molecule compounds (e.g., erastin) or clinical drugs (e.g., sulfasalazine) has been found to induce ferroptosis by modulating iron metabolism and enhancing the accumulation of lipid peroxidation6,42. As homeostatic dysfunction of ferroptosis is believed to be an essential cause of chemoresistance43, it is crucial to explore how to enhance the sensitivity of cancer cells to clinical chemotherapy drugs by triggering ferroptosis. In this case, ferroptosis inducer erastin significantly enhances the anticancer activity of cytarabine and doxorubicin in leukemia cells44. Erastin also reverses the resistance of ovarian cancer cells to cisplatin45. Multiple studies recently verified that sorafenib plays an important role in inducing ferroptosis. Herein, we found that GSTZ1 deficiency aggravated the resistance to sorafenib-induced ferroptosis by preventing iron accumulation and lipid peroxidation production and decreasing the ROS levels. In contrast, GSTZ1 overexpression increased the sensitivity of HCC cells to sorafenib by facilitating ferroptosis in vitro. Consistent with this study, previous studies have reported that sorafenib-induced hepatoma cell death is primarily dependent on triggering ferroptosis by inhibiting SLC7A11/xCT10,11,24. As such, inducing ferroptosis may be a promising strategy for enhancing the sensitivity of tumor cells to chemotherapy. Haloperidol, a Sigma-1 receptor (S1R) antagonist, promotes sorafenib-induced ferroptotic death by increasing ROS accumulation46. Meanwhile, metallothionein-1G silencing (MT-1G) was reported to enhance the sensitivity of hepatoma cells to sorafenib by triggering ferroptosis24. Collectively, our findings and those of previous studies suggest that ferroptosis plays an important role in the anti-tumor efficacy of sorafenib. Further, our data indicate that GSTZ1 plays a positive regulatory role in ferroptosis during sorafenib treatment.
Changes in certain metabolic pathways are also involved in the regulation of cell sensitivity to ferroptosis, including coenzyme Q10 consumption47, decreased intracellular reducer such as NAPDH48, and altered iron metabolism49. Many components of the ferroptosis cascade are target genes of the transcription factor NRF2, indicating the critical role of the NRF2 pathway in mediating ferroptotic response30,31,50. For example, the inhibition of p62-KEAP1-NRF2 pathway significantly enhanced the anticancer activity of erastin and sorafenib by inducing ferroptosis in HCC cells in vitro and in vivo26. Consistent with previous reports, our results demonstrated that GSTZ1 deficiency markedly reduces sorafenib-induced ferroptotic cell death by increasing the level of NRF2 and ferroptosis-related genes, including GPX4, SLC7A11, and FTL. In contrast, pharmacological- or KEAP1-mediated inhibition of NRF2 increases the sensitivity of GSTZ1-deficient cells to sorafenib by enhancing ferroptosis in vitro. Meanwhile, GPX4 is the only reported enzyme that is capable of directly reducing complex phospholipid hydroperoxides and is a downstream target gene of NRF2. Therefore, targeting GPX4 is currently considered a crucial strategy for triggering ferroptosis7,43 Mechanistically, we verified that GSTZ1 knockout inhibited sorafenib-induced ferroptosis by activation of the NRF2/GPX4 axis in vitro and in vivo. Moreover, targeting GPX4 using RSL3 in GSTZ1-knockout and SR HCC cells significantly increased iron accumulation, ROS level, and lipid peroxidation production and enhanced sorafenib-induced inhibition of cell proliferation. Importantly, GPX4 inhibition using RSL3 with sorafenib therapy elicited a significant tumor regression in Gstz1−/− mouse models in vivo.
To our best knowledge, this is the first study to explore the role of GSTZ1 in sorafenib resistance in HCC. GSTZ1 deficiency contributes to sorafenib resistance in HCC through activation of the NRF2/GPX4 axis; thus, blocking the NRF2/GPX4 axis may have a therapeutic benefit in HCC patients with GSTZ1 deficiency. Our findings provide new insights into the molecular basis of the role of GSTZ1 in ferroptosis and sorafenib resistance. Moreover, sorafenib combined with RSL3 can synergistically overcome acquired resistance to sorafenib and improve the anticancer efficacy of sorafenib in HCC, thus providing a potentially synergistic combination therapy for HCC.
Materials and methods
Cell lines
Human hepatoma cells SK-Hep1, HepG2, and SNU449 were directly purchased from American Type Culture Collection (ATCC, VA, USA). Huh7 cells were obtained from the Cell Bank of the Chinese Academy of Sciences (Shanghai, China). These cells were cultured in Dulbecco’s modified Eagle’s medium (SK-Hep1, HepG2, Huh7) or RPMI 1640 medium (SNU449) supplemented with 10% fetal bovine serum (FBS; Gibco, Rockville, MD, USA), 100units/mL penicillin, and 100mg/mL streptomycin in a humidified incubator at 37°C containing 5% CO2.
Reagents and antibodies
Erastin (HY-15763), Ferrostatin-1 (HY-100579), Deferoxamine (HY-B0988), and Necrosulfonamide (HY-100573) were purchased from MedChemExpress (MCE; Shanghai, China). Sorafenib (S7397), ZVAD-FMK (S7023), Bafilomycin A1 (S1413), and RSL3 (S8155) were obtained from Selleckchem (Houston, TX, USA). N-acetyl-L-cysteine (NAC, S0077) was from Beyotime (Shanghai, China). Brusatol (Bru, MB7292) was obtained from Meilunbio (Dalian, China). Tertiary butylhydroquinone (tBHQ, 112941) was obtained from Sigma (Shanghai, China). Antibodies raised against GPX4 (ab125066), NRF2 (ab62352), 4-HNE (ab46545), NQO1 (ab34173), and β-actin (ab6276) were obtained from Abcam (Cambridge, MA, USA), anti-SLC7A11 (NB300-318) was from Novusbio (Centennial, CO, USA), anti-FTL (10727-1-AP) was from Proteintech (Shanghai, China), and anti-GSTZ1 (GTX106109) was from GeneTex (San Antonio, CA, USA).
Generation of SR cell lines
To establish SR cells, HepG2 and SNU449 cells were cultured by exposing cells with sorafenib at 5% of IC50 concentration and the concentration was gradually increased at 10% of IC50 until the maximum tolerated doses (10μM) was reached. SR cells (HepG2-SR and SNU449-SR) were cultured continuously at 1μM concentration of sorafenib to maintain the acquired resistance.
Quantitative real-time polymerase chain reaction (qRT-PCR)
Total RNA was isolated from HCC cell lines using TRIzol reagent (Invitrogen, Rockville, MD, USA) according to the manufacturer’s instructions. The purified RNA sample was reverse-transcribed into cDNA using the PrimeScript™ RT Reagent Kit (RR047A, TaKaRa, Tokyo, Japan) with gDNA Eraser. Complementary DNA from cell samples was amplified with the specific primers (Supplementary Table. 1). Briefly, Real-time qPCR was performed to quantity mRNA levels, using the SYBR Green qPCR Master Mix (Bio-Rad, Hercules, CA, USA) following the manufacturer’s instructions. The CT values were normalized to that of β-actin, and the relative mRNA expression levels of genes were calculated using 2–ΔΔCt method. Each sample was analyzed in triplicate.
Western blot analysis
Protein samples from cells and animal tissues were lysed in Cell Lysis Buffer (Beyotime, Jiangsu, China) containing 1mM of phenylmethanesulfonyl fluoride (PMSF, Beyotime). The concentration of the protein homogenates was determined using the BCA assay Kit (Dingguo, Beijing, China). Equal volumes of protein samples were separated by SDS-poly acrylamide gel electrophoresis and electro-transferred to PVDF membranes (Millipore, Billerica, MA, USA). After blocked with 5% non-fat milk dissolved in TBST (10mM Tris, 150mM NaCl, and 0.1% Tween-20; pH 7.6), for 2h at room temperature, the membranes were incubated with the primary antibodies overnight at 4°C. Thereafter, membranes were incubated with the secondary antibodies coupled to horseradish peroxidase (HRP) for 2h at room temperature. Protein bands were visualized with enhanced Chemiluminescence substrate Kits (ECL, New Cell & Molecular Biotech Co, Ltd, China).
Transmission electron microscope assay
Cells were collected and fixed with 2.5% glutaraldehyde. Subsequently, cells were post-fixed in 2% tetroxide and dehydrated through a series of gradient ethanol. Samples were embedded in epoxy resin, cut into thin slices, and placed onto nickel grid. Images were acquired using Hitachi-7500 transmission electron microscope (Hitachi, Tokyo, Japan).
Intracellular ROS measurements
Cells were planted on coverslips in a 12-well plate, and then treated with the varying concentrations of test compound or drug. After 24h, cells were incubated at a final concentration of 5µM CellROX® Orange reagent (Life Technologies, Carlsbad, USA) for 30min at 37°C, after which they were washed, dyed with DAPI, mounted with Anti-fade Mounting Medium, and immediately analyzed for fluorescence intensity under Leica Confocal Microscope (TCS SP8, Germany) with a ×40 objective lens.
Measurement of total iron contents in hepatoma cells and liver tissues
The iron concentration was assessed using the Iron Assay Kit (MAK025; Sigma) according to the manufacturer’s protocol. Briefly, tissues (10mg) or cells (2×106) were rapidly homogenized in 5 volumes of iron assay buffer. Tissues or cell homogenates were centrifuged at 15,000×g for 10min at 4°C and removed insoluble material. To measure total iron, add 50μL samples to 96-well plate, increase the volume to 100μL per well with iron assay buffer, and then add 5μL iron reducer to each well to reduce Fe3+ to Fe2+. And then samples were mixed using a horizontal shaker and incubated at 25°C for 30min. Subsequently, 100μL Iron Probe was added and incubated for 1h at 25°C. During each incubation, the plate was kept from light. Thereafter, the absorbance was detected at 593nm using a microplate reader.
Detection of malondialdehyde (MDA)
Analysis of lipid peroxidation was assessed by quantification of MDA concentration in cell lysates using Lipid Peroxidation MDA Assay Kit (S0131, Beyotime) in accordance with the manufacturer’s instructions.
Reduced GSH assay measurement
Reduced GSH levels were determined using the GSH and GSSG Assay Kit (Beyotime, S0053) following the manufacturer’s protocol.
Reporter plasmids and mutagenesis
Human Nrf2 expression plasmid was constructed by subcloning PCR amplification and inserted it into pcDNA-5Myc vector (a gift from prof. Wei Lv, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences). Human Gstz1 and Keap1 expression plasmids were constructed by subcloning PCR amplification and inserted into pSEB-3Flag vector (a gift from Dr T-C He, University of Chicago, USA). The Ser to Ala mutant of Gstz1 (S14A) was constructed by site-directed mutagenesis, with WT Gstz1-3Flag plasmid as a template.
Cell growth curve and cell viability assay
For cell growth curve analysis, cells were seeded at 1×104 cells/well in 96-well microtiter plates with three replicate per group and cultured overnight in a humidified incubator at 37°C and 5% CO2. The plate was scanned and phase-contrast images were acquired after over a series of time points post treatment, and then quantified time-lapse curves were plotted using IncuCyte ZOOM software (Essen BioScience, Ann Arbor, MI, USA).
For cell viability assay, cells were seeded at 1000 cells per well in 96-well plates with fresh medium and analyzed by using the Cell Counting Kit-8 (CCK-8) (CK04, Dojindo, Japan) according to the manufacturer’s instructions. The microplates were incubated at 37°C for an additional 2h. Absorbance (Abs) was read at 450nm using a microplate reader (Thermo Fisher, USA). The blank group only contained medium, and the cells without any treatment were used as the control group. Herein, cell viability=(Abs of the experimental group-Abs of the blank group)/(Abs of the control group-Abs of the blank group) × 100%.
Cell growth rate and cell death
Cell growth was analyzed at 24, 48, 72 or 96h post culture. The cell growth rate was calculated by dividing the final number of cells by the number of cells seeded at day 0 and expressed as a percentage. Cell death was analyzed by propidium iodide (Invitrogen, USA) staining followed by flow cytometry.
Half-maximal inhibitory concentration assay (IC50)
The cells were planted in 96-well plates at 1.0×104 cells per well. The corresponding concentrations of sorafenib were given to cells for 24h. After 24h, CCK-8 (Dojindo, Japan) was used to measure sorafenib sensitivity at 450nm using a microplate reader (Thermo Fisher, USA) after incubating for 2h at 37°C.
Animal experiments
Heterozygous 129-Gstz1tm1Jmfc/Cnbc mice (EM: 04481) were obtained from the European Mouse Mutant Archive and were crossed to breed wild-type (WT) and Gstz1−/− mice. All mice were maintained under individual ventilation cages conditions in the laboratory animal center of Chongqing Medical University. For subsequent studies, mice were divided into five groups as follows: WT+DMSO (control), WT+Sora, Gstz1−/−+DMSO, Gstz1−/−+Sora, and Gstz1−/−+Sora+RSL3. Each group included three male and three female mice. At 2 weeks of age, all mice were administered an intraperitoneal injection of diethylnitrosamine (DEN; Sigma, St. Louis, MO, USA) at a dose of 75mg/kg. At the third week, the mice were intraperitoneally administered carbon tetrachloride (CCl4; Macklin, Shanghai, China) at 2ml/kg twice a week for 12 weeks. In the WT+Sora and Gstz1−/−+Sora group, the mice at 22 weeks were administered intraperitoneally sorafenib (30mg/kg) every 2 days for 4 weeks until euthanasia. In the Gstz1−/−+Sora+RSL3 group, in addition to sorafenib administration as described above, the mice were injected intraperitoneally with RSL3 (10mg/kg) every 2 days for 4 weeks at the same weeks. Body weight of each mice was measured every week and retro-orbital blood was collected before sacrifice. All mice were euthanized at 26 weeks of age. The liver weight and number of liver tumors were measured. Protein and mRNAs levels of hepatic tumors were detected by western blotting and qRT-PCR analysis, respectively. The intrahepatic Iron and MDA levels were measured with Iron Assay Kit and MDA Assay Kit, respectively. Samples of liver tumor were collected for further study or fixed with 4% paraformaldehyde, embedded in paraffin, and sectioned for hematoxylin-eosin staining (H&E) and immunohistochemistry. All animal procedures were approved by the Research Ethics Committee of Chongqing Medical University (reference number: 2017010).
Statistical analysis
All experiments were repeated independently with similar results at least three times. Statistical analysis and data plotting were performed using GraphPad Prism 7 (GraphPad Software, USA). All data were presented as mean±standard deviation (SD) values. Unless mentioned otherwise, comparisons between two groups were performed by Student’s t-test, and Multiple-group comparisons were performed by the one-way ANOVA analysis with Scheffe post-hoc test. p<0.05 was considered statistically significant.
Acknowledgements
We wish to thank Dr. T.-C. He (University of Chicago, USA) for providing the plasmids pAdEasy system, and Prof. Ding Xue (Tsinghua University) for supplying the CRISPR/Cas9 system.
Author contributions
A.L.H., N.T., and K.W. conceived the study and designed the experiments. Q.J.W. and B.C. performed most experiments and analyzed the data. Q.X. performed TEM assay. Q.Z.G. assisted with animal experiments. Q.J.W., N.T., and K.W. drafted and edited the manuscript with all authors providing feedback.
Funding
This work was supported by the China National Natural Science Foundation (grant no. 81872270, 82072286, 82073251), the Natural Science Foundation Project of Chongqing (cstc2018jcyjAX0254, cstc2019jcyj-msxmX0587), the Major National S&T program (2017ZX10202203-004), the Scientific Research Innovation Project for Postgraduate in Chongqing (grant no. CYS19192), the Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-M202000401, KJQN201900429), and the Kuanren Talents Program of the second affiliated hospital of Chongqing Medical University.
Data availability
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
Ethics statement
This study was approved by the Research Ethics Committee of Chongqing Medical University (reference number: 2017010).
Footnotes
Edited by A. Linkermann
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Qiujie Wang, Cheng Bin, Qiang Xue
Contributor Information
Ailong Huang, Email: nc.ude.umqc@gnauha.
Kai Wang, Email: nc.ude.umqc@iakgnaw.
Ni Tang, Email: nc.ude.umqc@gnatin.
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The online version contains supplementary material available at 10.1038/s41419-021-03718-4.
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