1. Introduction
Radiation therapy exerts its therapeutic effect on cancer cells by inducing DNA damage [
1,
2]. Despite its efficacy, challenges remain, including the development of resistance mechanisms in cancer cells and the potential for collateral damage to healthy normal tissues [
3,
4]. Consequently, there is an urgent need to identify adjuvants that can sensitize cancer cells to radiation and thereby improve treatment outcomes.
The efficacy of radiation therapy is significantly influenced by the tumor microenvironment, in particular, by the presence of hypoxia, a condition characterized by insufficient oxygen supply [
5,
6,
7]. Hypoxic conditions induce a cascade of molecular events that affect cellular behavior, including cell proliferation, migration, invasion, survival, cell cycle, and DNA repair capacity, leading to induced chemo-radiation resistance [
8,
9]. Hypoxia-inducible factors (HIFs) play a role in orchestrating the cellular responses to both hypoxia and radiation [
5,
6,
7]. In our previous studies, we elucidated the molecular mechanisms underlying the complex relationship between hypoxia and radiation response and demonstrated the role of the HIF-DEC transcription factor axis in the DNA damage response system, including damage recognition, repair, and apoptosis [
10,
11]. Our comprehensive gene expression analysis revealed systemic suppression of DNA damage response-related gene expression in cancer cells under hypoxic conditions by DEC transcription factors, resulting in inhibition of radiation-induced DNA damage responses. A better understanding of the detailed mechanistic basis of how hypoxia modulates the radiation response is of paramount importance to optimize therapeutic strategies for cancer treatment.
In recent years, prolyl-hydroxylase inhibitors (PHIs) have been used to treat renal anemia in several countries [
12,
13,
14]. Prolyl hydroxylase domain proteins (PHDs) are central to the regulation of hypoxia-inducible factors (HIFs) and serve as cellular oxygen sensors [
14,
15]. Under normoxic conditions, PHDs hydroxylate specific proline residues on the HIF-α subunit, marking it for recognition by the von Hippel-Lindau (VHL) E3 ubiquitin ligase complex. This process leads to ubiquitination and subsequent proteasomal degradation of HIF-α, thereby preventing the activation of hypoxia-responsive genes. Under hypoxic conditions, the activity of PHDs diminishes due to reduced oxygen availability, resulting in the stabilization and accumulation of HIF-α. Stabilized HIF-α translocates to the nucleus, dimerizes with HIF-β, and activates the transcription of genes involved in angiogenesis, erythropoiesis, and metabolism, facilitating cellular adaptation to low oxygen environments [
14,
15]. PHIs typically function by chelating the iron ions essential for PHD enzymatic activity or by competitively binding to the active site of the enzyme. These inhibitors, originally recognized for their effects on stabilizing the HIF protein as described above, have attracted attention for their diverse effects on cellular processes including in hypoxic environments. Whether prolyl-hydroxylase inhibition influences the cellular response to radiation therapy has not been determined.
Several PHIs have been developed and approved for clinical use, and roxadustat (FG-4592) was the first HIF-PHD inhibitor to be approved for oral administration, providing a convenient alternative to traditional injectable erythropoiesis-stimulating agents [
16]. In this study, we, therefore, investigated the complex interplay between prolyl-hydroxylase inhibition (FG-4592) and radiation therapy, intending to explore its potential as an adjuvant therapeutic strategy for cancer treatment.
3. Discussion
The interaction between hypoxia and radiation therapy represents a complex landscape in cancer treatment [
1,
2,
3,
4]. Hypoxic environments induce a cascade of molecular events that affect cellular behavior, including cell proliferation, migration, invasion, survival, cell cycle, and DNA repair capacity, leading to increased radiation resistance [
3,
4]. The results presented in this study shed light on the intricate interplay between PHI and radiation therapy and provide insight into potential therapeutic strategies.
We have shown that there are two types of cells: one that acquires radiation resistance under hypoxic conditions and another that does not change. These results underscore the context-dependent nature of hypoxia in modulating radiation responses, which may vary among different cell types. It is important to elucidate the molecular mechanisms of radiation responses through a comparative analysis of these two cell types. We found that a hypoxia mimic reagent, a PHI, FG-4592, affected radiation responses similarly to hypoxia, suggesting an important role of intracellular hypoxic signaling as well as environmental hypoxia. PHIs have been used effectively to treat renal anemia in several countries [
12,
13,
14,
15], suggesting their safety in clinical treatments. For the potential application of PHIs with radiation treatment, it is critical to understand the molecular mechanisms of their differential effects on radiation responses. Therefore, we investigated the differential responses to irradiation by analyzing a number of genes. The HIF-1α protein induced by FG-4592 may not be sufficient to induce target gene expression as much as the levels induced by real hypoxia, suggesting the importance of post-translational protein modification in HIF-1α activation under hypoxic conditions [
17,
18]. Therefore, the induction of the HIF-1α protein and its target genes by FG-4592 suggests the importance of optimizing drug concentrations to achieve the desired therapeutic effects. In this study, experiments with higher concentrations could not be conducted due to the characteristics of the formulation, but, in order to obtain more practical effects, it will be necessary to try reagents with higher concentrations. Although 1% O
2 condition was used as the hypoxic condition in this study, it will be interesting to compare milder (5–10% O
2) or severe (<0.5% O
2) conditions as well as higher doses of FG-4592. In addition, shorter (a few hours to 12 h) or longer (a few weeks) incubations under hypoxic conditions, as well as FG-4592, will also be important to gain additional insight. Methodologically, the gold standard for evaluating the radiation response of cells is the colony formation assay, but, in this study, the MTT assay was used. The colony formation assay is very effective for evaluation over a period of several weeks, but the MTT assay is more advantageous for evaluation over a short period of time, from several hours to several days. In future studies, it will be necessary to use methods suitable for these conditions.
The effects of FG-4592 treatment on radiation-induced cell growth inhibition varied among different cell lines as well as under hypoxic conditions. FG-4592 treatment significantly increased cell viability in lung adenocarcinoma cells (PC9) after irradiation and tended to render head and neck cancer cells (HSC2) resistant to radiation, although not significantly. FG-4592 treatment did not appear to alter the sensitivity of lung fibroblast cells (TIG3) and lung adenocarcinoma cells (A549) to radiation. These differential responses highlight the complexity of cellular signaling pathways and underscore the importance of cancer-specific and/or personalized treatment approaches in cancer therapy. Examination of the gene expression related to hypoxia, apoptosis, and cell cycle control provided additional insight into the molecular mechanisms underlying the observed responses. The differential expression of HIF target genes and apoptosis-related genes in different cell lines suggested different regulatory mechanisms governing cellular responses to FG-4592 treatment and irradiation [
19,
20,
21]. Among these mechanisms, our results suggested the importance of
DEC2 expression in cells whose sensitivity to radiation was altered by FG-4592 treatment. DEC2 (also known as BHLHE41) is a basic helix–loop–helix transcription factor that has been identified as a key regulator in various cellular processes and has been implicated in the transcriptional regulation of hypoxia-related genes [
22]. Functional hypoxia response elements (HREs) in the promoter region of
DEC1 and
DEC2 genes were identified, suggesting their role in mediating cellular responses under hypoxic conditions. Subsequent studies further highlighted the role of DEC2 in DNA damage response mechanisms under hypoxic conditions [
10,
11]: DEC2 is involved in the transcriptional regulation of DNA damage response genes, demonstrating the importance of the HIF-DEC axis in the response to DNA damage under stress conditions. In analogy to these findings, FG-4592 may repress the expression of DNA damage response genes through the activation of HIF-DEC signaling, resulting in acquired radiation resistance in our study. The differential expression of p53 target genes also varied between cell lines. The TIG3 and A549 cells, which harbor functional wild-type p53, expressed pro-apoptotic and cell cycle-regulating genes and responded to irradiation [
23,
24]. The PC9 and HSC2 cells, in which radiation-induced expression of p53 target genes was lost, expressed the hypoxic transcription factor gene
DEC2. The results of this study strongly suggest an association between p53 and DEC2, although the regulatory mechanisms remain unclear and require further investigation.
The effects of DEC2 or TP53 gene knock-down on radiation sensitivity further elucidate the role of these genes in modulating cellular responses to radiation therapy under FG-4592-treated conditions. Our results showed that DEC2 knock-down increased radiation sensitivity in both A549 and PC9 cells under FG-4592-treated conditions, whereas TP53 knock-down decreased the sensitivity to radiation only in A549 cells under both control and FG-4592-treated conditions. These results underscore the intricate interplay of genetic factors in determining cellular responses to radiation therapy. In this study, DEC2 has emerged as an important factor in the response to irradiation under PHI treatments; under such conditions, PHI could repress the expression of DNA damage response genes through the activation of HIF-DEC signaling. Therefore, regulation of DEC2 may lead to the development of a novel therapeutic strategy to control radiation responses.
Prolyl hydroxylase domain (PHD) inhibitors have emerged as an important class of drugs that prevent the degradation of hypoxia-inducible factors (HIFs), thereby increasing erythropoietin (EPO) production and stimulating erythropoiesis. These inhibitors have been widely used in the clinical management of anemia associated with chronic kidney disease (CKD) due to their ability to mimic hypoxic conditions and promote endogenous EPO synthesis [
25]. Several PHD inhibitors have been developed and approved for clinical use, including roxadustat (FG-4592), daprodustat (GSK1278863), vadadustat (MT-6548), molidustat (BAY 85-3934), and enarodustat (JTZ-951). While these inhibitors share a common mechanism of action in stabilizing HIFs and promoting erythropoiesis, clinical trials have shown both common and distinct effects among them. Despite shared benefits in CKD patients, there are notable differences among PHD inhibitors in terms of safety profiles, iron metabolism effects, and dosing regimens [
26,
27]. Adverse effects vary across different drugs, with vadadustat being associated with hypertension and nausea, while daprodustat has been reported to cause abdominal discomfort and complications related to vascular access. In addition, some inhibitors have variable effects on iron metabolism, requiring individualized monitoring and management of iron status during treatment. Taken together, PHIs commonly activate the HIF-DEC axis through PHD inhibition, but each PHI may also have distinct functions, suggesting differential effects on radiation response. In this study, FG-4592 and GSK1278863 showed a similar effect on radiation responses in HSC2 and A549 cells, although it is still a preliminary experiment. Further comparable experiments with other PHIs are desired for better understanding and development of therapeutic strategy.
In conclusion, this study provides valuable insights into the complex relationship between PHI and radiation therapy in cancer treatment. These findings underscore the importance of considering the tumor microenvironment and genetic factors, particularly DEC2, in optimizing therapeutic strategies for specific cancers and individual patients. Further research is needed to elucidate the underlying mechanisms and to translate these findings into clinical applications aimed at improving treatment outcomes in cancer patients.
4. Materials and Methods
4.1. Chemicals
All chemicals were of analytical grade and were purchased from FUJIFILM Wako Pure Chemicals (Osaka, Japan), Sigma (St. Louis, MO, USA), AdooQ Bioscience (Irvine, CA, USA), or MedChemExpress (Monmouth Junction, NJ, USA).
4.2. Cell Culture
Human lung fibroblast (TIG3), lung adenocarcinoma (A549 and PC9), oral squamous cell carcinoma (HSC2), osteosarcoma (Saos2), chondrosarcoma (OUMS27), and hepatoblastoma (HepG2) cell lines were obtained from the Japanese Cancer Research Resource Bank (JCRB) and have been maintained as original stocks. Cells were maintained in Dulbecco’s Modified Eagle Medium (DMEM) or RPMI1640 (NACALAI TESQUE, Inc., Kyoto, Japan) containing 10% fetal bovine serum (FBS; BioWhittaker, Verviers, Belgium) and 100 µg/mL of Kanamycin Sulfate Solution (FUJIFILM Wako Pure Chemical Corporation, Osaka, Japan), and were used within 3 months of passage from the original stocks. Cells were cultured under normoxic (21% O2) or hypoxic (1% O2) conditions in a hypoxic chamber. To mimic hypoxia, cells were treated with 10 µM of FG-4592 or 10 µM of GSK1278863, which produced an equivalent response to 1% O2.
4.3. Cell Irradiation
Irradiation was performed with 5 or 10 Gy of 137Cs γ-irradiation in a Gammacell® 40 Exactor (Nordion International, Inc., Nordion, Ottawa, ON, Canada) for 375–750 sec under normoxic conditions.
4.4. Cell Proliferation and Drug Sensitivity Analyses
Cell proliferation capacity was evaluated by the MTT assay or by counting the number of cells. Cells (4 × 103) were seeded on a 96-well plate, cultured for 1 day, and then treated with FG-4592 for the indicated time periods. The MTT [3-(4,5-dimethylthial-2-yl)-2,5-diphenyltetrazalium bromide] formazan precipitate was dissolved in DMSO, and the absorbance at 570 and 650 nm (reference) was measured using an EMax®® Endopoint ELISA Microplate Reader (Molecular Devices Corp., Sunnyvale, CA, USA).
Cell numbers were counted using an INCell Analyzer 2000 (GE Healthcare Japan, Tokyo, Japan) after DAPI staining. All experiments were repeated at least three times under similar conditions.
4.5. Immunoblotting Analysis
Whole-cell extracts were prepared from cultured cells, as described previously [
28]. Fifty µg of extracts were separated by SDS-polyacrylamide gel electrophoresis and transferred to PVDF membranes. Immunoblotting was performed according to standard procedures. Anti-HIF-1α (#3094, Cell Signaling TECHNOLOGY, Danvers, MA, USA) and anti-β-actin (A5441, Sigma) were used as primary antibodies, diluted at 1:500. Anti-rabbit IgG or anti-mouse IgG horseradish peroxidase conjugate (#7076, #7074, CST) was used as a secondary antibody, diluted at 1:4000. Bands were visualized with the enhanced chemiluminescence reagent SuperSignal West Pico PLUS (Thermo Fisher Scientific K.K., Tokyo, Japan).
4.6. Quantitative Reverse Transcription-Polymerase Chain Reaction (RT-PCR) Analysis
Total RNA was prepared from frozen cell pellets using NucleoSpin
®® RNA (MACHEREY-NAGEL GmbH&Co. KG, Düren, Germany), according to the manufacturer’s instructions. A total of 1 µg of total RNA was reverse-transcribed using a High-Capacity cDNA Archive
TM Kit (Applied Biosystems, Foster City, CA, USA). An aliquot of cDNA was subjected to quantitative RT-PCR using primers (200 nM final concentration each) and MGB probe sets (100 nM final concentration; the Universal Probe Library [UPL], Roche Diagnostics, Tokyo, Japan) for
CA9,
DEC1 (
BHLHE40),
DEC2 (
BHLHE41),
BAX,
BCL2,
CDKN1A, and
TP53. Primer sequences are listed in
Table S1. A pre-developed TaqMan Assay Reagent (Applied Biosystems) for
ACTB (4326315E, Applied Biosystems) was used as an internal control. PCR reactions were performed using a 7500 Real-Time PCR System (Applied Biosystems) under standard conditions. Gene expression levels were standardized using pooled cDNA from 17 non-identical cancer cell lines, and relative expression was determined using
ACTB expression [
29].
4.7. Knock-Down Analysis
A549 or PC9 cells were transfected with siRNA specific for TP53 (siTP53, SI02655170) or DEC2 (siDEC2, SI00312004) or with non-specific (siNS, No. 1027310) siRNA (QIAGEN, Inc., Valencia, CA, USA) using LipofectamineTM RNAiMAX (Thermo Fisher Scientific) for 24 h. Cells were harvested and stored at −80 °C until use.
4.8. Statistical Analysis
All statistical tests were performed using EZ-R version 1.54. The Tukey–Kramer method or
t-test was used to determine the
P-value for post-hoc pairwise comparisons [
19] when an ANOVA test revealed significant heterogeneity.