IDH2 compensates for IDH1 mutation to maintain cell survival under hypoxic conditions in IDH1‑mutant tumor cells
- Authors:
- Published online on: June 24, 2019 https://doi.org/10.3892/mmr.2019.10418
- Pages: 1893-1900
Abstract
Introduction
Mutations of isocitrate dehydrogenase (IDH) 1 and 2 have been reported to occur in most low-grade gliomas, acute myeloid leukemias and other solid tumors (1–2). IDH1 and 2 mutations disrupt the normal catalytic activity of the protein and they acquire a novel function, allowing them to reduce α-ketoglutarate (α-KG) into R-2-hydroxyglutarate (R-2HG) (1,3–6). Because R-2HG and α-KG are structurally similar, 2-HG acts as a competitive inhibitor of the α-KG-dependent dioxygenases involved in epigenetic modifications, resulting in stem cell expansion and a cell differentiation block (4,6–9). Therefore, 2-HG functions as an oncometabolite to mediate tumorigenesis in cancer with mutant IDH1 and 2. Moreover, IDH1 and 2 mutations have been acknowledged as good biomarkers and potential drug targets (6–7).
There are three different isoforms of IDH; IDH1, 2 and 3. IDH1 is predominantly localized in the cytoplasm, while IDH2 and 3 are localized exclusively in the mitochondrial matrix. Although they catalyze a similar reaction, the oxidative decarboxylation of isocitrate into α-KG, they play different roles in cellular metabolism. IDH3, as a rate-limiting enzyme of the tricarboxylic acid (TCA) cycle, irreversibly catalyzes the NAD-dependent decarboxylation of isocitrate to generate α-KG. IDH1 and 2 are homodimeric enzymes that reversibly catalyze the oxidative decarboxylation of isocitrate to α-KG, as well as the reductive carboxylation of α-KG to isocitrate. Therefore, IDH 1 and 2 play important roles in the regulation of the cellular redox status, glutamine metabolism and lipogenesis (10–13).
Lipogenesis is an important metabolic process that provides a cellular energy source and structural components. Under normoxia, the precursor of fatty acid synthesis, acetyl coenzyme A (AcCoA), is predominantly generated from glucose-derived pyruvate via the glycolysis pathway. In mitochondria, the pyruvate dehydrogenase (PDH) complex mediates the conversion of pyruvate into AcCoA, which is then transferred into the cytosol and participates in lipid synthesis (14). However, under hypoxic conditions, the PDH complex is inhibited by hypoxia-inducible factor-1α (HIF-1α), resulting in the impaired generation of AcCoA from glucose (15). To support rapid proliferation, cells have to alter their metabolic pathways to accommodate the need for precursor AcCoA for fatty acid synthesis. Like glucose, glutamine has been recognized as another important source of carbon and nitrogen for biosynthetic reactions in mammalian cells. Glutamine can supply carbon to AcCoA through two major pathways. One pathway is described as glutaminolysis, wherein glutamine enters the TCA cycle as α-KG and traverses in the forward direction to maintain oxidative phosphorylation (13,16). The other pathway is called reductive carboxylation, in which glutamine enters the TCA cycle as α-KG and is converted to isocitrate and citrate by reverse flux through the action of IDH1 and 2 (10–11,13). In an hypoxic microenvironment, tumor cells actively reprogram metabolism, and IDH1 and 2 play important roles in this process by mediating the reductive carboxylation of α-KG into isocitrate, producing AcCoA to maintain lipid synthesis and cell survival (10,12–13).
IDH1 mutations, the most frequent of which is the arginine 132 to histidine mutation (R132H), inhibit not only the oxidative decarboxylation reaction but also the reductive carboxylation reaction (3,5). Since tumor cells need to synthesize a large amount of lipids to support constant proliferation, IDH1 R132H was hypothesized to impair reductive carboxylation and lipid synthesis under hypoxic conditions, leading to reduced proliferation (5,17). However, given that both IDH1 and 2 interchangeably support reductive carboxylation and lipid synthesis under hypoxic conditions (5,18), the hypothesis that IDH2 might compensate for defective lipid synthesis and compromised cell proliferation in IDH1 R132H-mutant tumor cells requires investigation. To test this hypothesis, the present study determined the levels of IDH2 in IDH1 R132H-mutant patient-derived primary glioma cells and HCT116 cells, both of which harbor monoallelic IDH1 R132H, under normoxia and hypoxia. Furthermore, cell proliferation and reductive glutamine metabolism was examined in these cells with or without IDH2 knockdown. The results of the present study demonstrated that IDH2 compensates for IDH1 mutations to maintain reductive metabolism and the survival of IDH1-mutant cancer cells under hypoxic conditions.
Materials and methods
Primary glioma cells, HCT116 cells and glioma cell line U251 cell culture
Primary glioma cells were derived from fresh glioma tissue collected during brain tumor surgery from patients with grade-II astrocytomas; informed consent was obtained from the patients. Fresh tumor tissue was mechanically dissociated into 1 mm3 pieces in fresh DMEM (Gibco; Thermo Fisher Scientific, Inc.). The tumor fragments were placed at the bottom of culture flasks containing 10 ml DMEM supplemented with penicillin, streptomycin and 10% FBS (Gibco; Thermo Fisher Scientific, Inc.), and incubated at 37°C and 5% CO2. The medium was replaced 3–5 days later to remove floating cells and tissues. The two individual patient-derived primary glioma cells, which were classified as grade-II astrocytomas, were confirmed to harbor either wild type (WT) IDH1 or monoallelic IDH1 R132H using genomic DNA sequencing (Sangon Biotech, Co., Ltd.) using the following primers: 5′-gcgtcaaatgtgccactatc-3′ and 5′-cctttagctaaatgtgtgta-3′. Experiments on these cells were performed within five passages.
Human colon cancer HCT116IDH1WT and HCT116IDH1R132H/+ cells, which harbor WT IDH1 and one allele of IDH1 R132H, respectively, were provided by Dr. Jing Ye (Department of Pathology, the Fourth Military Medical University) and cultured in McCoy's 5A modified medium (Gibco; Thermo Fisher Scientific, Inc.) with 10% FBS. Human glioma cell lines U251 cells (Chinese Academy of Sciences Cell Bank), were cultured in DMEM (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS. For experiments under normoxia, cells were maintained in 21% O2, 74% N2 and 5% CO2. For experiments under hypoxic conditions, cells were cultured under normoxia (21% O2 at 37°C) for 6 h to allow cells to adhere to the flask and were then moved to a hypoxic environment (3% O2, 92% N2 and 5% CO2 at 37°C).
Lentivirus packaging, cell infection and selection
The pLenti6, pLenti6-IDH1 and pLenti6-IDH1R132H vectors were generously gifted by Dr Jing Ye (Department of Pathology, The Fourth Military Medical University, Xi'an, China). For lentiviral packaging, 293T cells (Chinese Academy of Sciences Cell Bank) were seeded in 10 cm cell culture dishes and on reaching ~60% confluence, the cells were transfected with the packaging system (7.5 µg psPAX2, 3.5 µg pVSVG, 10 µg pLenti plasmid) using Lipofectamine® 2000 (Invitrogen; Thermo Fisher Scientific, Inc.), according to the manufacturer's protocol. Forty-eight hours later, the supernatant medium containing the virus was collected. The virus solution and fresh culture medium (DMEM supplemented with 10% FBS) were added to U251 cells in a 1:1 mixture when the cells reached 50–70% confluence. Twenty-four hours later, cells were selected with puromycin (0.5 µg/ml; Sigma-Aldrich; Merck KGaA) for two weeks to generate stable U251 cell lines expressing wild-type IDH1 or IDH1R132H.
Small interfering (si) RNAs and transfection
siRNAs that target two individual sites of the human IDH2 coding sequence were obtained from Shanghai GenePharma Co., Ltd. siIDH2-1, 5′-GCAAGAACUAUGACGGAGA-3′; and siIDH2-2, 5′-CCCGUGUGGAAGAGUUCAATT-3′. Nontargeting siRNA (5′-UUCUCCGAACGUGUCACGUTT-3′; Shanghai GenePharma Co., Ltd.) was used as a negative control. Cells were plated at a density of 1×105 into 6-well plates in DMEM without antibiotics. The cells were transfected 24 h after plating with 50 nM siRNA targeting human IDH2 or nontargeting siRNA (scramble) as a negative control. Transfections were performed with Lipofectamine® 2000, according to the manufacturer's protocol. Forty-eight hours following transfection, the knockdown efficiency was determined by western blot analysis.
Proliferation assay
Cells were seeded in sextuplicate at a density of 2,000 cells/well in 96-well plates, and the medium was changed every 3 days. The number of viable cells/well at each time point was determined using a Cell Counting Kit-8 assay (CCK-8; Dojindo Molecular Technologies, Inc.), according to the manufacturer's protocol. Absorbance at 450 nm was measured 1 h after the addition of the CCK-8 solution.
Western blot analysis
Proteins were extracted using protein lysis buffer (Beyotime Institute of Biotechnology) in the presence of a protease inhibitor cocktail (Roche Diagnostics). The protein concentration was determined using the bicinchroninic acid Protein Assay kit (Thermo Fisher Scientific, Inc.). Equal amounts of protein samples, 20 µg/lane, were separated by electrophoresis on 10% SDS-PAGE gels and were electrotransferred to nitrocellulose membranes. The membranes were blocked with 5% milk for 1.5 h at room temperature and then incubated with primary antibodies against IDH2 (1:500; cat. no. ab55271; Abcam), GAPDH (1:2,000; cat. no. 10494-1-AP; Wuhan Sanying Biotechnology) and HIF-1α (1:1,000; cat. no. 14179; Cell Signaling Technology, Inc.) at 4°C overnight, followed by incubation with horseradish peroxidase-conjugated secondary antibodies (1:5,000; cat. nos. CW0102 and CW0103; Wuhan Sanying Biotechnology) for 1 h at room temperature. The signals were detected with an ECL substrate kit (Thermo Fisher Scientific, Inc.), and the immunoreactive bands were visualized using a gel-imaging analysis system (Tanon Science and Technology Co., Ltd.). The band intensity was quantified using ImageJ software (version 1.48; National Institutes of Health), wherein the relative values, using GAPDH as an internal control, of the first bands were designated as 1.
Metabolic flux analysis by gas chromatography mass spectrometry (GC-MS)
HCT116IDH1R132H/+ cells, at a density of 1×106, were cultured in serum-reduced DMEM and transfected with 50 nM IDH2-siRNA-1 or scramble using Lipofectamine® 2000. After 48 h, the cells were cultured in medium containing 1 mM uniformly 13C-labeled [U-13C] glutamine under hypoxic conditions for 24 h, after which cells were collected for metabolic extraction. GC-MS analysis of metabolic flux was performed by Shanghai Biotech Co., Ltd., and the detailed procedure is described in the supplementary materials and methods.
Statistical analysis
Statistical analysis was performed using SPSS software (version 17; IBM Corp.). Each experiment was repeated independently a minimum of three times. Data are presented as the mean ± SEM for multiple independent experiments or the mean ± SD for technical replicates. Independent Student's t-test or one-way ANOVA followed by Fisher's least significant difference test were used to compare the continuous variables between two groups or among more than two groups, respectively. P<0.05 was considered to indicate a statistically significant difference.
Results
Mutant IDH1 cells grow more slowly than WT cells under hypoxic conditions
As IDH1 mutations reduce the ability of the enzyme to catalyze the bidirectional conversion between isocitrate and α-KG (5), it was speculated that an IDH1 mutation would lead to compromised reductive metabolism and proliferation under hypoxic conditions. To test this hypothesis, the proliferation of IDH1 R132H-harboring patient-derived primary glioma cells was examined, which was previously established and confirmed using DNA sequencing (Fig. S1), H&E staining and immunohistochemical staining (19). HCT116 cells that harbor one allele of IDH1 R132H (Fig. S2) were also used to test this hypothesis. Cells were cultured under normoxia or hypoxia for 3–5 days and subjected to a CCK-8 assay. Hypoxic conditions led to elevated HIF-1α levels (Fig. S3). As shown in Fig. 1, under normoxia, IDH1-mutant primary glioma cells and HCT116R132H/+ cells grew more slowly than WT IDH1 primary glioma cells and HCT116WT cells, respectively; however, these IDH1-mutant cells exhibited significantly repressed proliferation under hypoxic conditions compared with the proliferation of the WT counterpart. These results showed that IDH1 R132H cells are defective and exhibit reduced growth under hypoxic conditions.
R132H-mutant cancer cells upregulate IDH2 protein expression under hypoxic conditions
Both IDH1 and 2 are required to maintain the reverse TCA cycle for lipogenesis under hypoxic conditions (10,13,18). As the growth of IDH1 R132H-mutant tumor cells was markedly inhibited under hypoxic conditions, it was hypothesized that these cells may compensate for the impaired lipid synthesis by overexpressing IDH2. To test this hypothesis, the expression of IDH2 in WT and IDH1R132H/+ HCT116 cells and primary glioma cells was examined by western blot analysis. As shown in Fig. 2A and B, IDH2 was upregulated in both HCT116R132H/+ and IDH1-mutant primary glioma cells relative to the expression in their WT counterparts under hypoxic conditions. Stable WT IDH1- and IDH1 R132H- overexpressing U251 cell lines, widely used as a gliobalstoma cell model (20), were established via lentivirus infection. Ectopic expression of IDH1 R132H consistently led to IDH2 upregulation under hypoxia compared with WT IDH1 (Fig. S4). These results suggested that IDH1-mutant cells may compensate for the adverse effects of an IDH1 mutation by upregulating IDH2 under hypoxic conditions.
Knockdown of IDH2 inhibits the growth of IDH1-mutant cells under hypoxic conditions
Although the IDH1-mutant cells were defective and grew more slowly under hypoxic conditions, these cells remained viable as shown in Fig. 1 (17). In the present study, it was also demonstrated that IDH1-mutant cells overexpressed IDH2 in hypoxic conditions (Fig. 2), suggesting that overexpression of IDH2 could compensate for the adverse effects caused by mutation of IDH1. Therefore, whether the knockdown of IDH2 would affect cell growth in these cells under hypoxic conditions was examined. For this purpose, two individual IDH2-siRNAs were transfected into WT HCT116 cells to determine their efficiency; the results showed that both siRNAs reduced IDH2 protein levels by ~50% (Fig. 3A). WT and IDH1132H/+ HCT116 cells and primary glioma cells were transfected with IDH2-siRNA or scramble siRNA, and then cultured under hypoxic conditions to examine proliferation. As shown in Fig. 3B and C, the inhibitory effect of IDH2 siRNAs on cell growth was comparable to that of the IDH1 R132H mutation in both the HCT116 and primary glioma cells. Moreover, IDH2 knockdown further slowed the growth of IDH1 R132H-mutant cells under hypoxic conditions. There data indicated that IDH2 knockdown exacerbated the growth defect in IDH1 R132H-mutant cells under hypoxic conditions.
Knockdown of IDH2 reduces the reductive carboxylation of IDH1-mutant cells in hypoxic conditions
As IDH1 and 2 are both involved in reductive carboxylation and lipogenesis under hypoxic conditions, it was reasoned that IDH2 knockdown may exacerbate the growth defect in hypoxic IDH1-mutant cells as a result of compromised reductive carboxylation. To detect the effect of IDH2 knockdown on reductive carboxylation, IDH1R132H/+ HCT116 cells were transfected with IDH2 siRNA1 or scramble siRNA and cultured in the presence of [U-13C5]glutamine under hypoxic conditions, and then collected for analysis of metabolic flux by GC-MS. The labeling metabolites derived from [U-13C5]glutamine were different between oxidative and reductive metabolism; among the labeling metabolites, M5 citrate (Cit), M3 aspartate (Asp), M3 malate (Mal) and M3 fumarate (Fum) represented reductive metabolism, whereas M4 Asp, M4 Mal and M4 Fum represented oxidative metabolism (Fig. 4A). As shown in Fig. 4B, knockdown of IDH2 in IDH1R132H/+ HCT116 cells led to a significant decrease in the percentage of Cit (M5), Asp (M3), Mal (M3) and Fum (M3). These results suggested that IDH2 knockdown reduces reductive carboxylation under hypoxic conditions, thus impairing lipogenesis and cell growth in hypoxic IDH1-mutant cells.
Discussion
The discovery of IDH1 mutations has been an important breakthrough in the field, with the mechanism of IDH1 mutations and targeted therapy becoming popular research topics (2,7). Previous studies have established that 2-HG is produced by mutant-IDH1 and causes profound epigenetic modifications and expansion of stem cells, and blocks differentiation (1,3–4,8–9,21). Small molecule mutant-IDH1 inhibitors have been developed and are at different stages of clinical trials; however, the currently available preclinical results have not been as promising as expected (2). It has been reported that targeting mutant IDH1 does not alter intracranial glioma growth in murine models (22). Although the blood-brain barrier or the irreversibility of the IDH mutation-induced epigenetic changes may account for the limited efficacy of IDH1 inhibitors (2), other alterations in cellular processes, including metabolism and signaling pathways, caused by mutant-IDH1, also play important roles in tumor progression. Therefore, it is important to understand the mechanism of mutant-IDH1 and to develop other therapeutic strategies. For the first time, to the best of our knowledge, the present study demonstrated that IDH1 R132H-mutant cells upregulate IDH2 as a compensatory mechanism to maintain reductive glutamine metabolism-dependent lipogenesis and cell proliferation under hypoxic conditions. As a result, the knockdown of IDH2 significantly inhibits the proliferation of IDH1 R132H-mutant cells under hypoxic conditions. Thus, IDH2 inhibition may serve as a new approach for the treatment of mutant-IDH1-harboring tumors.
Although mutations in IDH1 have been hypothesized to cause tumorigenesis, IDH1 is also a positive prognostic marker for patients with glioma (23). The finding that IDH1 R132H inhibited the growth of glioma cell lines (24) and murine glioma progenitor cells (25) was proposed to result in a positive effect on patient survival (24). However, a previous study postulated that the survival benefit gained by IDH1 mutation is a result of sensitivity to temozolomide, rather than biological behavior (26). By contrast, Koivunen et al (27) reported that R-2HG produced by mutant-IDH1 enhanced the proliferation and soft agar growth of human astrocytes. A recent study showed that IDH1 R132H-knock-in in the mouse subventricular zone promoted the self-renewal and proliferation of neural stem cells (8). As such, the current opinions about mutant-IDH1 are contradictory, which may be due to the different cell types and contexts examined in previous studies.
In the present study, two IDH1 R132H-mutant cell models were used as models, including primary glioma cells and HCT116R132H/+ cells, both of which harbor a single allelic IDH1 R132H mutation and consistently reflect the genetic IDH1 mutation status in patients. In the present study, IDH1-mutant cells were found to grow more slowly than their WT counterparts, particularly under hypoxic conditions. As mutations in IDH1 mitigate the oxidative and reductive activities of the enzyme (3,5), it was concluded that the defective reductive glutamine metabolism caused by IDH1 mutation leads to reduced cell proliferation. This view is consistent with that of Grassian et al (17), who showed that cancer cells with a mutant IDH1 allele are unable to induce reductive glutamine metabolism under hypoxic conditions, thus compromising AcCoA and lipid production, leading to decreased cell growth. Therefore, it is proposed that the defective cell growth may account for the better prognosis of patients with IDH1 R132H mutation compared with those with WT-IDH1. Large-scale studies have established that IDH mutations together with other molecules are important markers for glioma classification and prognosis (6). A recent study, using genome-wide gene expression profiling, established a six-gene signature as an independent prognostic factor for IDH1-mutant glioma, and showed that the effect of IDH1 mutation is conserved across histological classifications; by combining histology grade, IDH1 status and the six-gene signature in all grades of glioma, patients could be stratified into six subgroups with distinct prognoses (28). Therefore, it would be interesting to observe the growth attributes of primary glioma cells derived from these different groups.
In the present study, data presented suggest that IDH2 was upregulated in both HCT116 IDH1R132H/+ cells and IDH1-mutant primary glioma cells under hypoxic conditions. This finding suggests that cancer cells can compensate for the adverse effects caused by mutation of IDH1 by upregulating IDH2 under hypoxic conditions. This allows processes, including reductive carboxylation and lipogenesis, that are required for cell proliferation, to continue. This is consistent with the findings of Mustafa et al (29), who examined the genes participating in the TCA cycle and anaerobic glycolysis in 33 IDH1 mutated and 39 IDH1 WT glioma samples and found that the expression levels of several genes were different, among which IDH2 was reported to be upregulated. However, Chen et al (25) reported no change in IDH2 expression in the expression profiling data of 46 IDH1 R132H high-grade gliomas compared with 163 WT-IDH1 high-grade gliomas. Such a discrepancy may result from the different datasets analyzed or the different oxygen concentrations the glioma samples were exposed to. The findings of the present study showed that IDH2 was upregulated in IDH1-mutant cells under hypoxic conditions; therefore, IDH2 may serve as a therapeutic target for the treatment of IDH1-mutant cancer. Consistent with this proposed treatment strategy, the present study found that targeting IDH2 with siRNAs significantly decreased reductive carboxylation and inhibited the proliferation of cancer cells with a monoallelic IDH1 mutation.
A limitation of the present study is the use of a limited sample number and tumor grading, a WT and mutant grade-II astrocytoma. However, similar results were obtained with WT and IDH1 R132H/+ HCT116 cells. IDH2 upregulation was also observed in the stable U251 glioblastoma cell line, which overexpresses IDH1 R132H, but not WT IDH1, under hypoxic conditions. Furthermore, it was proposed in a genome-wide gene expression profiling study that the effect of mutations in IDH1 is conserved across histological classifications (28). Therefore, the compensatory role played by IDH2 could apply to a wider range of cancer cells containing mutations in IDH1. Previous studies have shown that mutation of IDH1 disrupts the reductive activity used to generate citrate for lipid synthesis (5), and also increases glutaminolysis to form lipids (6,25,30), indicating the presence and importance of compensatory mechanisms. Glioma cells with mutant IDH1 were found to be sensitive to the inhibition of glutaminase or glutamate dehydrogenase (25,31). Therefore, the results of the present study together with data presented in the literature provide potential and promising therapeutic strategies that exploit the compensatory mechanisms caused by the mutation of IDH1. Further systematic studies, including in vivo examination of the effects of siRNAs targeting the compensatory molecules, are required in the future. In addition, future studies should investigate whether IDH1 can compensate for mutations of IDH2 in IDH2 mutant malignancies.
In conclusion, the present study reports, for the first time, to the best of our knowledge, that IDH2 compensates for the IDH1 R132H mutation to maintain cell survival under hypoxic conditions in IDH1-mutant tumor cells. Thus, IDH2 may serve as a potential antitumor target for IDH1 mutant tumors.
Supplementary Material
Supporting Data
Acknowledgements
The authors thank Dr Jing Ye and Mr. Chao Wang (The Fourth Military Medical University) for their kind assistance with the IDH1R132H/+ HCT116 cells and other experimental materials used in this present study.
Funding
This study was supported by grants from the National Natural Science Foundation of China (grant nos. 81572504 and 81572469), the Natural Science Foundation of Shaanxi Province (grant no. 2016JZ028), and the Science and Technology Reseach and Development Program of Shaanxi Province (grant no. 2016SF-094).
Availability of data and materials
The materials used in the current study are available from the corresponding author on reasonable request.
Authors' contributions
YZ, WLv and QL performed the primary glioma cell culture and cellular experiments. QW and YR conducted the statistical analysis. FY, TP and XX performed routine cell culture transfections. WLi and XL designed the study and wrote the manuscript. All authors have read and approved the final manuscript.
Ethics approval and consent to participate
The present study was approved by the Ethics Committee of Xijing Hospital, the Fourth Military Medical University (approval no. 20180122). All human subjects recruited for this study provided written informed consent prior to participation.
Patient consent for publication
All human subjects whose samples were used for this study provided written informed consent for publication.
Competing interests
The authors declare that they have no competing interests.
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