Abstract
Activation of p53 by small molecule MDM2 inhibitors can induce cell cycle arrest or death in p53 wildtype cancer cells. However, cancer cells exposed to hypoxia can develop resistance to other small molecules, such as chemotherapies, that activate p53. Here, we evaluated whether hypoxia could render cancer cells insensitive to two MDM2 inhibitors with different potencies, nutlin-3a and navtemadlin. Inhibitor efficacy and potency were evaluated under short-term hypoxic conditions in human and mouse cancer cells expressing different p53 genotypes (wild-type, mutant, or null). Treatment of wild-type p53 cancer cells with MDM2 inhibitors reduced cell growth by > 75% in hypoxia through activation of the p53–p21 signaling pathway; no inhibitor-induced growth reduction was observed in hypoxic mutant or null p53 cells except at very high concentrations. The concentration of inhibitors needed to induce the maximal p53 response was not significantly different in hypoxia compared to normoxia. However, inhibitor efficacy varied by species and by cell line, with stronger effects at lower concentrations observed in human cell lines than in mouse cell lines grown as 2D and 3D cultures. Together, these results indicate that MDM2 inhibitors retain efficacy in hypoxia, suggesting they could be useful for targeting acutely hypoxic cancer cells.
Subject terms: Cancer microenvironment, Pharmacology
Introduction
The tumor suppressor protein p53 regulates the cellular response to different types of stress. Under normal (stress-free) conditions, p53 is expressed at a basal level, due to its ubiquitination and proteasomal degradation mediated by the E3 ligases MDM2 and MDMX. However, under stressed conditions, p53 is stabilized and functionally activated, leading to the transactivation of target genes involved in DNA repair, senescence, cell cycle, and/or apoptosis1. Given that this response protects cells from damage that can lead to tumor formation, it is not surprising that the TP53 gene is inactivated or mutated in roughly 50% of all cancers2. In the remaining cancers with wildtype p53, protein expression can be silenced through upstream alterations. Restoration of wildtype p53 activity in tumors is therefore an important goal for improved cancer treatment3.
Several small molecules have been developed to restore p53 activity in cancer cells expressing wildtype p53. One class of these molecules, the MDM2 inhibitors, prevent the interaction between p53 and its negative regulator MDM2. As a result, p53 accumulates in the cell and activates its downstream target genes4. While treatment with inhibitors alone tends to induce cell cycle arrest, treatment with inhibitors combined with chemotherapy or radiation tends to enhance apoptosis in vitro and in preclinical tumor models5–10, although with varying potencies. For example, one of the most studied MDM2 inhibitors, nutlin-3a, requires two to threefold higher concentrations to induce p53 than other inhibitors (e.g., navtemadlin) require6,11,12, and may have off-target effects12–14. Although many of these inhibitors show great promise in preclinical and clinical trials, the development of resistance is a concern15.
Hypoxia, which commonly occurs in solid tumors16, can render cancer cells resistant to chemotherapies that induce their apoptotic activity through p53-dependent mechanisms17,18. This resistance is thought to arise partly from transcriptional and/or translational changes that cells undergo to survive hypoxia19. For example, upregulation of hypoxia responsive miRNAs has been shown to render colorectal cancer cells resistant to treatment with 5-fluorouracil20. Even 4 h exposure to hypoxia has been shown to reduce ribosome translation in cancer cells21, which could in turn affect p53 transcriptional activity22. In addition, hypoxia may select for cells that have reduced potential for p53-mediated apoptosis23, potentially affecting the ability of small molecules to activate a p53-mediated response. Moreover, hypoxia has been reported to reduce cell proliferation24, which could spare hypoxic cells from the cytotoxic effects of chemotherapies targeting proliferating cells. Since hypoxia-mediated resistance is associated with poorer clinical prognosis in several solid tumors25, evaluating the ability of MDM2 inhibitors to induce a p53 response in hypoxia is important for their successful clinical use.
Although many such inhibitors have been developed, few have been evaluated for their efficacy in hypoxia. One study found that the small molecule RITA, which binds directly to the N-terminus of p53, induced p53-dependent apoptosis in human colorectal cancer cell lines cultured in hypoxia26. However, RITA has also been reported to exert apoptosis in a non-p53 dependent manner27. Another study reported that the MDM2 inhibitor nutlin-3 activated p53 and inhibited growth in mouse melanoma cells cultured in hypoxia28. However, nutlin-3 and its more active enantiomer nutlin-3a have poor bioavailability for clinical use. To our knowledge, no studies have evaluated the efficacy of more potent and bioavailable small molecule MDM2 inhibitors currently in clinical trials, such as navtemadlin (previously known as AMG 232), in hypoxic cancer cells.
Here, we evaluated the ability of two MDM2 inhibitors with different potencies, nutlin-3a and navtemadlin, to induce p53 levels in human and mouse tumor cells cultured in hypoxia. Changes in cell proliferation were quantified using growth assays and flow cytometry, while molecular changes in the p53–p21 axis were detected using transcriptional and translational assays. Our results show that both small molecule MDM2 inhibitors, nutlin-3a and navtemadlin, induce a p53 response in hypoxic cancer cells with wildtype p53, but with varying efficacies depending on species and cell line.
Materials and methods
Chemicals
Nutlin-3a (Sigma Aldrich), navtemadlin (2639, Axon Medchem), and staurosporine (Sigma Aldrich) were dissolved in DMSO (D2650, Sigma Aldrich). EF5 (Merck Millipore) was dissolved in 5% glucose in sterile saline, as per manufacturer’s instructions.
Cell culture
Six cell lines were used: HCT116 p53+/+ and HCT116 p53−/− (human colorectal), MCF7 (human breast adenocarcinoma), B16-F10 p53+/+ and B16-F10 p53−/− (mouse melanoma), and HT29 (human colorectal with mutant p53). The HCT116 cell lines were kindly provided by Professor Bert Vogelstein (Johns Hopkins University). The B16-F10 p53+/+ cell line (ATCC) was used to generate the p53−/− cell line using CRISPR/Cas9 as previously described29. MCF7 and HT29 were obtained from ATCC and used within 6 months of purchase. HCT116 and HT29 cells were cultured in 1.0 g/L glucose DMEM (31885049, ThermoFisher), MCF7 cells in 1.0 g/L glucose MEM (31095029, ThermoFisher), and B16-F10 cells in no glucose RPMI (11879020, ThermoFisher) supplemented with 1.0 g/L glucose (A2494001, ThermoFisher). All media were supplemented with 10% heat inactivated fetal bovine serum (RC35964, HyClone), 1% penicillin/streptomycin (P0781, Sigma-Aldrich), and 10 mM HEPES (H3537, Sigma-Aldrich). Culture medium was changed every 2–3 days. Cells were maintained in an incubator at 37 °C, 5% CO2, and 21% O2, or in an Invivo2 chamber (Baker Ruskinn 400) for hypoxia at 37 °C, 5% CO2, and 1% O2. All cell lines were regularly tested for mycoplasma (Mycoplasma Alert, Lonza).
Cellular growth inhibition
The ability of MDM2 inhibitors to inhibit cell growth in normoxia and hypoxia was measured using a modified version of a cellular viability assay30. Single cells (5 × 103 cells in 100 μL/well) were seeded in 96-well plates and allowed to attach for 24 h. Stock solutions of nutlin-3a and navtemadlin were prepared in growth medium at 2X the final concentration (50 μM for nutlin-3a; 20 μM for navtemadlin), and serially diluted 1:1 in fresh medium using a 12-well dilution reservoir (VWR) to achieve 10 drug concentrations (including one untreated). Drug-containing medium (100 μL) was then added to each well to achieve the final 1X concentration. After cells were incubated for 72 h in normoxia or hypoxia, they were fixed with 10% neutral buffered formalin (Sigma) for 15 min and imaged in PBS (100 μL/well) using brightfield microscopy (Incucyte® S3 Live-Cell Analysis System, Essen Bioscience). Cell confluence was determined using the Incucyte software (Segmentation value: 0.4 for HCT116 and B16-F10 cells and 1.2 for MCF7 cells; Hole fill: 200 μm3; Minimum area: 200 μm3) and normalised to the values of untreated wells. The concentration of drug that reduced cell growth by 50% of the untreated control (IC50) was calculated using GraphPad Prism (Nonlinear fit equation: inhibitor vs response—variable slope).
Cell cycle analysis
The effect of MDM2 inhibitors on cell cycle distribution was assessed using flow cytometry. Cells (1 × 105) were seeded in T-25 culture flasks and incubated for 72 h prior to treatment. After the medium in each flask was replaced with fresh medium (5 mL/flask) containing DMSO (< 0.1%), nutlin-3a (2 µM for human cells; 10 µM for mouse cells), or navtemadlin (0.5 µM for human cells; 2 µM for mouse cells), cells were incubated either in normoxia or in hypoxia for a total of 24 h to measure molecular changes that precede changes in growth6,7,31. Given differences in potencies across inhibitors and across species, we used different concentrations of each inhibitor (close to the IC50) in human vs mouse cell lines to achieve similar efficacies. One hour prior to trypsin-mediated harvest, cells were treated with 10 µM of EdU (5-ethynyl-2´-deoxyuridine) to mark cells in S phase. Cells were then fixed by adding 100 µL of Click-iT® fixative (Click-iT™ Plus EdU Alexa Fluor™ 647 Flow Cytometry Assay Kit, ThermoFisher) and stored at 4 °C for 24 h. Following fixation, cells were permeabilized using Click-iT® saponin-based permeabilization and wash buffer, and stained with Alexa Fluor® 647 picolyl azide, according to manufacturer’s instructions. Cells were suspended in 1X saponin buffer containing FxCycle Violet (1:1000, Thermo Scientific) to stain DNA. Cell cycle distribution was measured using the FACS Canto II or BD LSR II flow cytometers. Data were analyzed using FlowJo software (v. 10).
qPCR
Gene expression induced by MDM2 inhibitors in normoxia and hypoxia was measured using qPCR. Cells (1 × 105 cells in 2 mL/well) were seeded in a 6-well tissue culture dish (TPP) and allowed to attach for 36 h. Drug treatment was carried out by replacing the medium with fresh medium containing DMSO (< 0.1%), nutlin-3a (2 µM for human cells; 10 µM for mouse cells), or navtemadlin (0.5 µM for human cells; 2 µM for mouse cells), and incubating cells in normoxia or hypoxia for 24 h. Cells were lysed using RNA binding lysis buffer (500 µL/well; mirVana™ miRNA Isolation Kit, ThermoFisher), and lysates were stored at − 80 °C until extraction. Total RNA was extracted using the manufacturer’s protocol (mirVana™ miRNA Isolation Kit, ThermoFisher Scientific or RNAeasy, Qiagen) and stored at − 20 °C. cDNA was obtained by reverse transcription (iScript cDNA Synthesis Kit, BIO RAD). qPCR was performed in duplicate in a 96-well plate according to manufacturer’s instructions (iTaq Universal SYBR Green Supermix, BioRad) using pre-designed, PrimeTime qPCR primers containing SYBR Green (Integrated DNA Technologies; Table 1). Primers were confirmed to have 90–110% efficiency using the standard curve method. Gene expression was measured for two target genes (CDKN1A and MDM2 for human; Cdkn1a and Mdm2 for mouse) and reference genes (B2M for human and Rplp0 for mouse). StepOnePlus™ Software v2.3 was used to analyze the data and fold change was calculated using the 2- Ct method, with values for target genes normalized to the reference genes.
Table 1.
Species | Gene | Ref seq # | Forward primer | Reverse primer | Assay ID |
---|---|---|---|---|---|
Human | MDM2 | NM_002392 | AGAAGGACAAGAACTCTCAGATG | GTGCATTTCCAATAGTCAGCTAA | Hs.PT.58.358457 |
Human | CDKN1A | NM_078467 | GCAGACCAGCATGACAGAT | GAGACTAAGGCAGAAGATGTAGAG | Hs.PT.58.40874346 |
Human | B2M | NM_004048 | GGACTGGTCTTTCTATCTCTTGT | ACCTCCATGATGCTGCTTAC | Hs.PT.58v.18759587 |
Mouse | Mdm2 | NM_010786 | GCGTGGAATTTGAAGTTGAGTC | TCTGATAGACTGTGACCCGAT | Mm.PT.58.42166864 |
Mouse | Cdkn1a | NM_001111099 | CTTGTCGCTGTCTTGCACT | AATCTGCGCTTGGAGTGATAG | Mm.PT.58.5884610 |
Mouse | Hprt1 | NM_013556 | CCCCAAAATGGTTAAGGTTGC | AACAAAGTCTGGCCTGTATCC | Mm.PT.39a.22214828 |
Western blotting
To determine whether MDM2 inhibitors induce known changes in the p53–p21 axis at the protein level in hypoxia, we examined p53, p21, MDM2 and HIF-1α levels in normoxia and hypoxia using immunoblotting. Cells (4 × 105 cells in 3 mL/dish) were seeded in a 60 mm tissue culture dish (TPP) and allowed to attach for 36 h. Drug treatment was carried out by replacing the medium with fresh medium containing DMSO (< 0.1%), nutlin-3a (2 µM for human cells; 10 µM for mouse cells), or navtemadlin (0.5 µM for human cells; 2 µM for mouse cells), and incubating cells in normoxia or hypoxia for 24 h. Adherent cells were washed with PBS, lysed with SDS lysis buffer (1X SDS lysis buffer, BioRad), heated at 95 °C for 5 min, sonicated (Qsonica Sonicators) for 30 s at 20% amplitude, and stored at − 20 °C until use.
Prior to electrophoresis, protein concentrations were determined using the DC Protein Assay (BioRad) according to manufacturer’s instructions. Equal amounts of protein (15 µg) were loaded on 4–15% 1D polyacrylamide Mini-PROTEAN TGX Stain-Free gels (BioRad) and run in 1X Tris Glycine SDS buffer (BioRad) at 50 V for 5 min and 150 V for 45 min. Gels were activated by a 5 min exposure using an Imaging System (ChemiDoc™ Touch, BioRad). Proteins were then transferred to a Minisize PVDF membrane (BioRad) using a semi-dry transfer (TurboBlot, BioRad) for 30 min using the standard built-in protocol. Membranes were imaged using the Imaging System (ChemiDoc™ Touch, BioRad) to obtain images of total protein and subsequently equilibrated in PBS-T (0.1% Tween-20 in PBS) for 15 min. Membranes were incubated in PBS-T containing 5% milk for 1 h at room temperature to block non-specific binding. Membranes were then incubated with primary antibodies overnight at 4 °C (Table 2). The next day, membranes were washed 4 times for 5 min in PBS-T and then incubated for 1 h room temperature with secondary antibodies (Table 2). After membranes were washed 6 times for 5 min in PBS-T, they were incubated with ECL Clarity Substrate and Reagent (Clarity™ Western ECL Substrate, 1705060, BioRad) for 5 min and imaged for chemiluminescence signal (ChemiDoc™ Touch, BioRad).
Table 2.
Protein target | Primary antibody | Secondary antibody | ||||||
---|---|---|---|---|---|---|---|---|
1° antibody (clone or catalog) | Host species | Company | Dilution of 1º | 2° antibody | Host species | Company | Dilution of 2º | |
HIF-1α (Hs) | 610959 | Mouse | BD biosciences | 1: 500 | Anti-mouse HRP | Goat | Dako | 1: 1000 |
p53 (Hs) | DO-1 | Mouse | In house32 | 1: 3000 | Anti-mouse HRP | Goat | Dako | 1: 2000 |
p21 (Hs) | 2947 | Rabbit | Cell signaling technology | 1: 1000 | Anti-rabbit HRP | Swine | Dako | 1: 2000 |
HIF-1α (m) | NB100-479 | Rabbit | Novus biologics | 1: 2000 | Anti-rabbit HRP | Swine | Dako | 1: 2000 |
p53 (m) | ab246223 | Rabbit | Abcam | 1: 1000 | Anti-rabbit HRP | Swine | Dako | 1: 2000 |
p21 (m) | ab188224 | Rabbit | Abcam | 1: 1000 | Anti-rabbit HRP | Swine | Dako | 1: 2000 |
HIF-1α hypoxia inducible factor 1α, Hs human, m mouse.
Spheroid growth assays
To determine whether MDM2 inhibitors could reduce growth in 3D tumors comprising innate hypoxia, we measured the growth of 3D spheroids under treatment. Single cell solutions (3 × 103 cells in 100 μL/well) were seeded in ultra-low attachment, round-bottom, 96-well plates to generate spheroids (Corning 7007). After the formation of spheroids (72 h), fresh medium (100 μL) containing twice the final concentration of drug was added to each well resulting in a total volume of 200 μL. Spheroids from human cells were treated with a final concentration of 5 μM nutlin-3a, 1 μM navtemadlin, and 2 μM staurosporine; concentrations of inhibitors were increased to limit potential drug resistance commonly observed in spheroid models33–35. Spheroids from mouse cells were treated with a final concentration of 10 μM nutlin-3a, 2 μM navtemadlin, and 5 μM staurosporine; concentrations were not increased for mouse spheroids to avoid off-target effects of nutlin-3a13,14 and to minimize spheroid dissociation during navtemadlin treatment. Half the medium was replaced with fresh drug-containing medium every 2 days. Spheroids were imaged during treatment for up to 4–7 days (Biospa 8 or Incucyte Software). Images were analyzed using SpheroidSizer36.
Statistical analysis
After checking for homogeneity of variance, data were evaluated for statistical significance using a mixed-effect, two-way ANOVA with Dunnett’s multiple comparison’s test (unpaired, two-tailed, = 0.05). To avoid violating assumptions in normality, statistical significance for qPCR data was calculated on dCt values (the difference between sample and reference Ct values). For monolayer assays, data points represent the average value of technical replicates from one experiment (3 biological experiments). For spheroid assays, data points represent the median value ± 95% CI combined from 2 biological experiments. Randomization and blinding were not possible.
Results
Nutlin-3a and navtemadlin reduce growth of p53WT cancer cells in hypoxia
In normoxia (21% O2) and hypoxia (1% O2), treatment with the MDM2 inhibitors, nutlin- 3a and navtemadlin, reduced cell growth in the three p53 wildtype (p53WT) cell lines (human colorectal carcinoma HCT116 p53+/+; human breast carcinoma MCF7; mouse melanoma B16-F10 p53+/+) (Fig. 1a–c). In normoxia, both inhibitors reduced cell growth by a maximum of 75%, with IC50 values ranging from 1.6 to 8.6 µM for nutlin-3a and 0.2 to 1.4 µM for navtemadlin. Similar reductions in cell growth were observed in hypoxia, with IC50 values ranging from 1.4 to 6.7 µM for nutlin-3a and 0.3 to 1.3 µM for navtemadlin (Table 3). In contrast, except at very high concentrations of the drugs, no reductions in cell growth were measured in p53 knockout (p53KO; HCT116 p53−/−; B16-F10 p53−/−) and p53 mutant (p53mut; human colorectal carcinoma HT-29) cell lines treated in normoxia or hypoxia (Fig. 1d–f), confirming the wildtype p53-dependent mechanism of action of the inhibitors. Together, these findings indicate that the potencies of nutlin-3a and navtemadlin are not significantly affected in hypoxic conditions, and they confirm that nutlin-3a is less potent than navtemadlin in normoxia and hypoxia.
Table 3.
Cell line | nutlin-3a | navtemadlin | ||||
---|---|---|---|---|---|---|
Normoxia IC50 (95% CI) | Hypoxia IC50 (95% CI) | Padj | Normoxia IC50 (95% CI) | Hypoxia IC50 (95% CI) | Padj | |
HCT116 p53+/+ | 1.6 (1.3–1.9) | 1.4 (1.1–1.6) | 0.99 | 0.3 (0.3–0.4) | 0.3 (0.2–0.4) | 0.99 |
MCF7 | 1.8 (0.9–2.8) | 2.7 (0–8.8) | 0.96 | 0.2 (0.2–0.3) | 0.3 (0.1–0.4) | 0.95 |
B16-F10 p53+/+ | 8.6 (6.9–10.3) | 6.9 (3.2–10.2) | 0.74 | 1.4 (1.2–1.5) | 1.3 (1.0–1.7) | 0.96 |
Potency was calculated as the concentration of drug that reduced cell growth by 50% of the untreated control (IC50), as measured by a cellular viability assay. Cellular confluence was measured after 72 h of exposure to 10 drug concentrations.
CI confidence interval.
To determine whether the reduction in growth resulted from fewer proliferating cells, we then measured the uptake of 5-ethynyl-2’-deoxyuridine (a marker of DNA synthesis) in cells treated with MDM2 inhibitors for 24 h6,31 in normoxia or hypoxia. In HCT116 p53+/+ cells, treatment with both inhibitors in normoxia led to a > 60% decrease in S phase (nutlin-3a, Padj = 0.0016; navtemadlin, Padj < 0.0001; Fig. 2a). In hypoxia, however, only treatment with navtemadlin led to a significant decrease in S phase (nutlin-3a, Padj = 0.08; navtemadlin, Padj < 0.0001; Fig. 2a). Although hypoxia itself is reported to reduce cell proliferation and induce cell cycle arrest24, it alone did not affect proliferation after 24 h in HCT116 p53+/+ cells (S phase, DMSO normoxia vs hypoxia, Padj = 0.92). No significant changes in cell proliferation were measured for HCT116 p53−/− cell lines treated in either normoxia or hypoxia (Fig. 2b). Thus, treatment of HCT116 p53+/+ cells with MDM2 inhibitors under hypoxia reduces cellular growth through induction of cell cycle arrest.
In B16-F10 p53+/+ cells, but not B16-F10 p53−/− cells, drug treatment in normoxia also led to a reduction > 90% decrease in S phase (nutlin-3a, Padj = 0.0003; navtemadlin, Padj = 0.0007; Fig. 2c). However, hypoxia alone reduced the proliferation of B16-F10 p53+/+ by 83% (S phase, DMSO normoxia vs hypoxia, Padj = 0.003) and that of B16-F10 p53−/− by 75% (S phase, DMSO normoxia vs hypoxia, Padj = 0.03; Fig. 2d). Treatment with either inhibitor in hypoxia did not lead to a further decrease in S phase of B16-F10 p53+/+ (nutlin-3a, Padj = 0.96; navtemadlin, Padj = 0.97; Fig. 2c) or of B16-F10 p53−/− cells (nutlin-3a, Padj = 0.99; navtemadlin, Padj = 0.99; Fig. 2d). We reasoned that the reduction in cell confluence upon inhibitor treatment (Fig. 1c) could be explained by induction of both cell cycle arrest and apoptosis in a p53-dependent manner29. After 24 h treatment, no significant changes were measured by flow cytometry in the sub G1 phase of p53WT or p53KO cells, except for a small increase in sub G1 of p53WT cells upon nutlin-3a treatment in normoxia (SI Fig. a). After 72 h treatment, however, phase-contrast images of cells treated in normoxia and hypoxia showed elongation and blebbing, consistent with cellular stress and death (SI Fig. 1b). These results suggest that MDM2 inhibitors reduce growth of mouse cells in hypoxia likely through induction of both cell cycle arrest and apoptosis.
Nutlin-3a and navtemadlin activate the p53-p21 axis in hypoxic p53WT cells
Given that MDM2 inhibitors are known to induce cell cycle arrest through activation of the p53 pathway4, we subsequently measured the mRNA and protein levels of two downstream targets of p53 activated by these inhibitors: MDM2 (negative regulator of p53) and p21 (a marker of cell cycle arrest). In HCT116 p53+/+ cells treated with nutlin-3a and navtemadlin for 24 h, the gene expression of MDM2 and of CDKN1A significantly increased by more than ninefold both in normoxia (MDM2: nutlin-3a, Padj < 0.001; navtemadlin, Padj < 0.001; CDKN1A: nutlin-3a, Padj < 0.001; navtemadlin, Padj < 0.001) and in hypoxia (MDM2: nutlin-3a, Padj < 0.001; navtemadlin, Padj < 0.001; CDKN1A: nutlin-3a, Padj < 0.001; navtemadlin, Padj < 0.001; Fig. 3a). The expression of CDKN1A was not enhanced in solvent-treated hypoxic HCT116 p53+/+ cells (DMSO normoxia vs hypoxia, P = 0.56 by unpaired t-test, two-tailed), corroborating the results from flow cytometry that showed that HCT116 p53+/+ cells are not arrested by hypoxia alone. No significant changes in gene expression were measured for HCT116 p53−/− cells in normoxia or hypoxia (Padj > 0.60 for all comparisons; Fig. 3b).
In B16-F10 p53+/+ cells treated with MDM2 inhibitors for 24 h, the expression of Mdm2 increased by more than threefold in normoxia (nutlin-3a, Padj < 0.001; navtemadlin, Padj = 0.02) and in hypoxia (nutlin-3a, Padj = 0.001; navtemadlin, Padj < 0.001; Fig. 3c). Inhibitor treatment also significantly increased Cdkn1a expression (2-way ANOVA interaction model, Source of variation(drug) = 0.009); however, we likely did not have sufficient power using post-ANOVA t tests (corrected for multiple testing) to detect significance for the effect of the individual drugs in either normoxia (nutlin-3a, Padj = 0.05; navtemadlin, Padj = 0.36) or hypoxia (nutlin-3a, Padj = 0.06; navtemadlin, Padj = 0.07; Fig. 3c). No significant changes in gene expression were measured for B16-F10 p53−/− cells in normoxia or hypoxia (Padj > 0.10 for all comparisons; Fig. 3d). These results indicate that transcriptional activation by the MDM2 inhibitors occurs with similar efficacy in hypoxia as in normoxia for both human and mouse cell lines.
Protein activation by MDM2 inhibitors was also unaffected by hypoxia. In p53WT cell lines (HCT116 p53+/+, MCF7, and B16-F10 p53+/+), treatment with nutlin-3a and navtemadlin induced p53 and p21 expression in both normoxia and hypoxia (Fig. 4, SI Figs. 2–5), as assessed by immunoblotting. All cell lines cultured in hypoxic conditions expressed the hypoxia induced transcription factor HIF-1 , confirming that the cells had become hypoxic. Interestingly, HIF-1 expression decreased upon treatment with nutlin-3a and navtemadlin in the MCF7 cell line but did not change in the other cell lines. In HCT116 p53−/− cells, no increase in p53 or p21 expression was detected with drug treatment in normoxia or hypoxia (Fig. 4). Similar results were observed in B16-F10 p53−/− cells, even though p21 expression was detected in hypoxia. Together, these data confirm that MDM2 inhibitors activate the p53–p21 axis with similar efficacy in monolayer cultures exposed to hypoxia as to those exposed to normoxia.
Nutlin-3a and navtemadlin reduce the growth of p53WT spheroids comprising innate hypoxia
Many studies have shown that 3D cancer models mimic many features of solid tumors, including variations in oxygen levels37,38, gene expression39,40, metabolism41, and drug response profiles34,39,40,42. We therefore tested whether nutlin-3a and navtemadlin could reduce cell growth in tumor spheroids, a 3D in vitro model that naturally develops regions of hypoxia and necrosis at spheroid diameters of 400–600 μm due to an oxygen diffusion gradient37,43,44. To this end, we generated tumor spheroids from the p53WT cell lines and treated them with the inhibitors when spheroids reached a diameter (> 500–550 μm). Both nutlin-3a and navtemadlin suppressed the growth of p53WT spheroids from human cell lines (HCT116 p53+/+ and MCF7) by > 75% when compared to DMSO. In contrast, based on volume metrics alone, nutlin-3a did not significantly reduce the growth of mouse p53WT spheroids, while navtemadlin reduced growth by nearly 60% (Fig. 5a, b). We observed that inhibitor treatment had varying effects on spheroid intactness depending on the cell line. While nearly all HCT116 p53+/+ spheroids shrunk from their starting size after treatment, a solid mass of ~ 450–500 μm in diameter remained (Fig. 5a). In contrast, MCF7 spheroids were primarily cell debris (Fig. 5a). B16-F10 p53+/+ spheroids treated with nutlin-3a and navtemadlin appeared to be intact by brightfield microscopy but broke apart easily into cell debris upon pipetting. Upon close-up visualization of these B16-F10 spheroids, we noticed blebbing on the spheroid surface suggesting that cells may have been undergoing apoptosis (Fig. 5c). As expected, no growth suppression was observed with inhibitor treatment in p53KO spheroids (Fig. 5d, e). Treatment with staurosporine, a non p53-specific inducer of apoptosis, prevented both p53WT and p53KO spheroids from growing (Fig. 5d, e). Taken together, these findings suggest that both MDM2 inhibitors reduce the growth of human and mouse p53WT cancer spheroids comprising innate hypoxia, although their efficacy varies by cell line and species.
Discussion
Our results show that the MDM2 inhibitors, nutlin-3a and navtemadlin, induce wild-type p53 in cancer cell lines cultured in hypoxia. Contrary to what we expected, the inhibitors reduced the growth of human and mouse p53WT cells in hypoxia through activation of the p53-p21 axis. The concentrations (IC50 values) required to induce these effects were not significantly different between normoxic and hypoxic conditions, and were consistent with values reported in previous studies performed in normoxia6,31. We also found that the inhibitors reduced growth of human and mouse cancer cells grown as 3D spheroid models comprising innate hypoxia, suggesting that the inhibitors retain efficacy even when cells are hypoxic prior to treatment. Taken together, these findings indicate that the efficacy and potency of MDM2 inhibitors are not reduced in p53WT cells cultured in hypoxia.
Amongst the two inhibitors, nutlin-3a was less potent than navtemadlin at inducing a p53 response in all p53WT cells cultured in hypoxia, consistent with results of previous studies performed in normoxia. The effect of nutlin-3a on cell growth may reflect an off-target effect and can occur independently of p53 through induction of DNA damage13,14. In contrast, navtemadlin has shown remarkable selectivity in human and mouse cells expressing p53WT7,11,29,31, almost no reported off-target effects in mouse cells29, and an acceptable pharmacokinetic profile in cancer patients45. Our current findings showing navtemadlin’s efficacy in hypoxic conditions add further value to this inhibitor currently being evaluated in clinical trials.
Although the potency and efficacy of the two MDM2 inhibitors were not altered in hypoxia, their efficacy varied by species, as evidenced in three ways. First, lower concentrations of inhibitors were required to elicit a p53 response in human cells than in mouse cells used in this study. Second, treatment with the inhibitors induced transcriptional activity by more than ninefold in human cells, but by only threefold in mouse cells. Third, treatment with the inhibitors significantly reduced the volume of spheroids comprising human cells. However, they had variable effects on the volume of spheroids comprising mouse cells: nutlin-3a did not significantly reduce the volume of murine spheroids while navtemadlin did. Nevertheless, both inhibitors appeared to affect the integrity and morphology of the spheroids comprising mouse cells, suggesting that MDM2 inhibitors as monotherapy induce cell cycle arrest and moderate levels of apoptosis in mouse cells, as we have previously shown under normoxia29. Although we do not know the exact reason for this variation across species, we speculate that differences in expression of p14ARF (or p19ARF in mice) among the cell lines may affect the efficacy of MDM2 inhibitors. Previous studies show that p19ARF can prevent p53 degradation through inactivation of MDM2’s ligase activity46,47. Given that the mouse B16-F10 cell line is p19ARF deficient48, higher concentrations of inhibitors may be required to "bind" all the free MDM2 and stabilize p53. This explanation is consistent with previous reports showing that cell lines deficient in p19ARF are less able to elicit a p53 response48. Despite these species differences, our results confirm that both human and mouse cells respond to MDM2 inhibitors in hypoxia.
Hypoxia alone also had varying effects by species. In the human p53WT and p53KO cancer cells studied here, 24 h exposure to hypoxia (1% O2) itself did not measurably induce cell cycle arrest, as evidenced by the lack of p21 expression in Western blots and by the lack of differences in S phase cells in hypoxia. By contrast, the same settings of hypoxia induced cell cycle arrest in the mouse p53WT and p53KO cell lines, as evidenced by the drop in S phase fraction of hypoxic cells. These phenotypic differences are consistent with those reported in the literature—some cell lines arrest in hypoxia, while others do not24,49,50. One potential mechanistic explanation is that p14ARF/p19ARF expression may protect cells from hypoxia-induced arrest, as p14ARF has been shown to inhibit HIF-1α transcriptional activity51. The phenotypic differences may also arise from other variables such as the length of hypoxic exposure (ranging from 24 to 72 h), oxygen levels (ranging from 0.02 to 1.4%), and cell seeding densities that influence gene expression24,52.
Could MDM2 inhibitors induce p53 response in hypoxic regions of solid tumors? We found that while the inhibitors prevented the growth of 3D tumor spheroids, they did not eliminate them for some cell lines (e.g., HCT116). We hypothesize that this result could be due to cell cycle arrest or quiescence induced by hypoxia within the 3D spheroid38,40,43, as long periods of hypoxia have been shown to arrest cells or to induce quiescence. Solid tumors also have acute regions of hypoxia (resulting from limited blood flow) and chronic regions of hypoxia (resulting from limited oxygen perfusion)16. Given that p53 is transcriptionally active only in proliferating cells53, we expect therefore that MDM2 inhibitors would have reduced efficacy in arrested or quiescent cells. As such, we reason that the inhibitors would likely elicit a response in cancer cells experiencing acute hypoxia, but not in those experiencing chronic hypoxia. Further studies are required to dissect responses in chronic hypoxia.
Supplementary Information
Acknowledgements
This research was supported by the Swedish Research Council awarded to DPL (Grant Number 2013-08807) and the Gunvor and Josef Anérs Foundation awarded to PK (Grant Number FB20-0092). BV was supported by the European Regional Development Fund—Project ENOCH (No. CZ.02.1.01/0.0/0.0/16_019/0000868). FW was supported by the Swedish Cancer Society and the Swedish Research Council. We thank the Biomedicum Flow Core Facility (Karolinska Institutet) for support and assistance with flow cytometers.
Author contributions
Conception and design: D.P.L., P.K. Data acquisition: A.L.C., P.L.B., K.I., C.B., S.K.S., P.K. Analysis and interpretation of data: A.L.C., P.L.B., K.I., P.K. Provided reagents and cell lines: L.J., F.W., B.V. Writing and revision of initial manuscript: A.L.C., P.L.B., D.P.L., P.K. Revision of manuscript: A.L.C., P.L.B., K.I., C.B., S.K.S., L.J., F.W., B.V., D.P.L., P.K. Study supervision and funding: D.P.L, P.K.
Funding
Open access funding provided by Karolinska Institute.
Data availability
The datasets generated during the current study are included in the manuscript or available in the Zenodo repository (https://doi.org/10.5281/zenodo.7476670). Any other relevant data are available upon reasonable request from the corresponding authors.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
David P. Lane, Email: dplane@imcb.a-star.edu.sg
Pavitra Kannan, Email: pk@sciencesylt.com.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-023-31484-0.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated during the current study are included in the manuscript or available in the Zenodo repository (https://doi.org/10.5281/zenodo.7476670). Any other relevant data are available upon reasonable request from the corresponding authors.