Highlights
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PER1 is negatively correlated with GPX4 and HIF-1α expression in OSCC tissue.
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PER1 promotes ferroptosis in OSCC cells in a HIF-1α-dependent manner.
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PER1 binds with HIF-1α to promote HIF-1α degradation.
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HIF-1α binds to the PER1 promoter to inhibit PER1 transcription.
Keywords: Ferroptosis, Oral cancer, Period 1, HIF-1alpha, Clock genes
Abstract
Current studies have proven that the decreased expression of the core circadian clock gene Period 1 (PER1) is closely related to the occurrence and progression of multiple malignant tumors, including oral squamous cell carcinoma (OSCC). But the mechanism involved is largely unknown. In this study, we found that PER1 was negatively correlated with the expression of the key ferroptosis-regulated proteins glutathione peroxidase (GPX4) and hypoxia inducible factor-1alpha (HIF-1α) in OSCC tissues. The expression of the ferroptosis related proteins GPX4, solute carrier family 7 member 11 (SLC7A11) and transferrin receptor (TFRC) and the levels of glutathione (GSH), malondialdehyde (MDA), reactive oxygen species (ROS) and Fe2+ were detected in OSCC cells with overexpression or silencing of PER1. Mitochondrial morphology changes were observed. We found that PER1 promotes ferroptosis depending on HIF-1α in OSCC cells. In vivo tumorigenicity assays proved that PER1 overexpression inhibits HIF-1α, promotes ferroptosis and suppresses OSCC growth. Mechanistically, coimmunoprecipitation and cycloheximide tracking assays proved that PER1 binds to HIF-1α to promote HIF-1α protein degradation. ChIP and dual luciferase reporter assays proved that HIF-1α binds to the PER1 promoter leading to feedback inhibition of PER1 transcription. Our findings suggest that targeting the PER1/HIF-1α negative feedback loop may provide a new strategy for OSCC treatment.
List of abbreviations
- ANT
adjacent non-cancerous tissues
- ChIP
chromatin immunoprecipitation assay
- CHX
cycloheximide
- Co-IP
coimmunoprecipitation
- GPX4
glutathione peroxidase
- GSH
glutathione
- HIF-1α
hypoxia inducible factor-1alpha
- HRP
horseradish peroxidase
- IHC
immunohistochemistry
- LPO
lipid peroxidation
- MDA
malondialdehyde
- OSCC
oral squamous cell carcinoma
- PER1
period 1
- ROS
reactive oxygen species
- SLC7A11
solute Carrier Family 7 Member 11
- TEM
transmission electron microscope
- TFRC
transferrin Receptor
Introduction
Oral cancer is one of the most common head and neck cancers [1, 2]. There are more than 370,000 new cases of oral cancer every year worldwide, and approximately 170,000 deaths from oral cancer every year [2]. Oral squamous cell carcinoma (OSCC) accounts for approximately 90% of oral cancers [3]. Although the current surgical techniques, radiotherapy and chemotherapy have made great progress, the mortality rate of oral cancer has increased at a rate of 0.5% per year [4]. In the past 30 years, the overall survival rate of patients with oral squamous cell carcinoma has been maintained at approximately 50% without significant improvement [5, 6]. Therefore, an in-depth study of the molecular mechanism of the initiation and progression of OSCC is needed to develop new and effective treatment methods.
Circadian clock genes exist in almost all cells of the human body [7, 8], and participate in the regulation of various important biochemical and physiological processes in organisms [9, 10]. The abnormal expression of these genes is an important factor in the occurrence of multiple diseases, including cancer [11, 12]. PER1 is one of the core circadian clock genes [7], [8], [9], [10]. Current studies have shown that disordered PER1 expression is closely related to the occurrence and progression of various cancers such as non-small cell lung cancer and gastric cancer [13], [14], [15], [16]. We previously found that PER1 expression was reduced in OSCC tissues, and was significantly related to the TNM staging and poor prognosis of patients [17, 18]. The studies above show the importance of PER1 in anticancer effects, but the specific mechanism is still unclear. A deeper study of the mechanism may lead to valuable discoveries.
Ferroptosis is a new mode of cell death that has been discovered in recent years [19], and its main feature is that excess accumulation of iron-dependent lipid peroxides leads to cell death [20]. Current studies have shown that ferroptosis plays an important role in the occurrence and progression of multiple cancers including OSCC [21], [22], [23], [24]. As ferroptosis is different from the cell death modes of necrosis, apoptosis and autophagy [19, 20], an in-depth study of the regulatory mechanism of ferroptosis may help to discover new strategies for cancer treatment. However, whether PER1 can regulate ferroptosis in cancer cells is currently unclear. Current research has proven that hypoxia inducible factor-1alpha (HIF-1α) is one of the key proteins regulating ferroptosis [25], [26], [27]. Both the PER1 and HIF-1α proteins contain the PER-ARNT-SIM (PAS) domain [28], and proteins often bind to each other through this domain [28, 29]. Chilov, D., et al. reported that the PER1 and HIF-1α proteins can bind to each other in mouse brain tissue [30], but the functional effect of this combination is still unclear. Here we speculate that PER1 may affect the initiation and development of cancer by binding to HIF-1α to regulate ferroptosis.
In this study, the results showed for the first time that PER1 inhibits OSCC growth by promoting ferroptosis in vitro and in vivo. We showed that the PER1 protein binds to the HIF-1α protein and promotes HIF-1α protein degradation, while HIF-1α binds to the PER1 promoter to inhibit PER1 transcription in OSCC cells. These results suggest that the binding of PER1 and HIF-1α forms a PER1/HIF-1α negative feedback loop to amplify the effect of PER1 on regulating ferroptosis in cancer cells. In summary, our findings suggest that targeting the PER1/HIF-1α negative feedback loop may be a promising therapeutic approach for the inhibiting the initiation and progression of OSCC.
Materials and methods
The details of all relevant Materials and Methods below can be found in The Supplementary Materials and Methods
Cell culture
Human oral mucosal HOK cells, and oral squamous cell carcinoma cell line TSCCA, SCC15 and CAL27 were culture routinely.
Clinical specimens
Paraffin-embedded tissue sections of OSCC patients were obtained from the Department of Pathology, the First Affiliated Hospital of Chongqing Medical University. This study was approved by the Biomedical Ethics Committee of the First Affiliated Hospital of Chongqing Medical University (approval number: 2016–124). Informed consent was obtained from all patients.
Vector construction
The plasmids were designed and synthesized by GeneChem (Shanghai, China). The sequence of shRNA is provided in Supplementary Table 1. The primers of cDNA are provided in Supplementary Table 2.
Construction of stable transfected cells
TSCCA cells with stable PER1 silencing (sh-PER1-TSCCA) and SCC15 and CAL27 cells with stable PER1 overexpression (OE-PER1-SCC15 and OE-PER1-CAL27) were harvested. Negative control of TSCCA cells (NC-TSCCA), SCC15 (vector- SCC15) cells and CAL27 cells (vector-CAL27) were harvested.
Immunohistochemistry (IHC)
Immunohistochemistry was carried out according to the instructions of the immunohistochemistry detection kit (Beijing, Zhongshan Jinqiao, SP-9000). The antibody information is available in Supplementary Table 3. The result was evaluated by the dual score semiquantitative method (Allred score) [31].
RT-qPCR
The primer sequences of PER1, HIF-1α and the internal reference gene β-actin are shown in Supplementary Table 4. The mRNA expression of each gene was calculated using the 2−∆∆Ct method.
Western blotting
Cells were lysed with RIPA lysis buffer (P0013B, Beyotime, Shanghai, China) containing PMSF. A BCA protein quantification kit (P0010, Beyotime) was used to determine the protein concentration. Proteins were separated by SDS-PAGE and transferred to a PVDF membrane. The details of the antibodies used in Western blotting are shown in Supplementary Table 3.
Detection of malondialdehyde (MDA) concentration
MDA levels were detected using an MDA detection kit (BC0025, Solarbio) according to the instructions. MDA level (nmol/mgProt) = 5 × 12.9 × (ΔA532 × ΔA600–2.58 × ΔA450)/Cpr.
Measurement of glutathione (GSH) content
GSH levels were detected with a micro reduced glutathione determination kit (A006–2–1, Nanjing Jiancheng) according to the instructions. GSH content (μmol/gprot) = (measured OD value-blank OD value)/ (standard OD value-blank OD value) × (20 μmoll/L) × 2/protein concentration (gProt/L).
Measurement of ROS content
ROS levels were detected using a reactive oxygen detection kit (S0033S, Beyotime) according to the instructions.
Detection of the intracellular Fe2+ level
FerroOrange (F-374, Dojindo) was used to detect the intracellular Fe2+ level. Three fluorescence images were photographed in randomly selected fields using fluorescence microscopy (BX51TRF, OLYMPUS, Japan) under the same exposure conditions. ImageJ software was used to calculate the fluorescence positive rate.
Transmission electron microscope (TEM) assay
Cell morphology was observed, and photos were taken using a transmission electron microscope.
Coimmunoprecipitation (co-IP)
The cell lysates were immunoprecipitated with protein A/G magnetic beads and co-IP samples were detected by Western blotting.
Dual luciferase reporter assay
The PER1-luc plasmid and Renilla luciferase plasmid were cotransfected into TSCCA. The vector plasmid and Renilla luciferase plasmid were cotransfected as a negative control. The firefly luciferase activity (F), and Renilla luciferase activity (R) were detected. Relative luciferase activity = F/R.
Chromatin immunoprecipitation assay (ChIP)
The ChIP experiment was performed according to the manufacturer's instructions for the ChIP Assay Kit (P2078, Beyotime). The primers for the PER1 promoter sequence were shown in Supplementary Table 4.
Cycloheximide (CHX) chase experiments
The cells were cultured with cycloheximide (Sigma-Aldrich, USA). Total protein was extracted at different time points and was detected by Western blotting.
Tumor formation experiment in vivo
Ten SPF BALB/c-nu male nude mice in experimental group (OE-PER1-SCC15) and control group (vector-SCC15) were injected subcutaneously with OE-PER1-SCC15 and vector-SCC15 cells respectively, and then killed by cervical dislocation on the 25th day. The weight, maximum long diameter (a) and minimum short diameter (b) of the tumor were measured. Tumor volume = 0.5 × a × b2. Animal experiments were approved by the Laboratory Animal Use Management Committee of the Laboratory Animal Research Institute of Chongqing Medical University (approval number: 2018–102) and were conducted as per the guidelines of the committee.
Statistical analysis
GraphPad Prism 9.0 (GraphPad Software, La Jolla, CA) was used for statistical analysis. The experimental data results of every 3 independent replicates are presented as the mean ± SD. Student's t-test was used for comparisons between two independent sample groups. One-way ANOVA test was used for one-way comparisons between multiple groups, and two-way ANOVA test was used for two-way comparisons between multiple groups. The Spearman rank correlation test was used for correlation analysis of protein expression. The chi-square test was used to examine the relationship between GPX4 expression level and clinicopathological parameters. The Kaplan-Meier method was used to draw the survival curve, and the log-rank test method was used to analyze the statistical significance of the difference in survival time between the two groups. P < 0.05 was considered statistically significant.
Results
Expression of PER1 and GPX4 in OSCC cells and tissues and analysis of clinical significance
To evaluate the correlations between PER1 and ferroptosis, we first detected the expression of PER1 and a key ferroptosis protein, glutathione peroxidase (GPX4), in OSCC cells. Western blotting results showed that compared with that in normal HOK oral mucosal cells, PER1 expression in the OSCC cell lines TSCCA, SCC15 and CAL27 was significantly reduced, while GPX4 expression was significantly increased (P < 0.01) (Fig. 1A).
Fig. 1.
Expression of PER1 and GPX4 in OSCC cells and tissues and analysis of clinical significance. (A) Western blotting showed that PER1 protein expression in OSCC cells was significantly reduced, while GPX4 expression was significantly increased. (B) Immunohistochemistry showed that PER1 protein expression in OSCC tissue (n = 40) decreased significantly, while GPX4 expression increased significantly. (C) The survival time of OSCC patients with high GPX4 expression was significantly shorter than that of OSCC patients with low GPX4 expression. All data are representative of 3 independent experiments. Data are shown as the mean ± SD (n ≥ 3). *P < 0.05; **P < 0.01; *** P < 0.001; ****P < 0.0001. ANT, adjacent non-cancerous tissues.
We further evaluated the expression of PER1 and GPX4 in cancer tissues of OSCC patients. The immunohistochemistry results of cancer tissues from 40 OSCC patients showed that PER1 expression was significantly reduced (P < 0.05), while GPX4 expression was significantly increased (P < 0.05) (Fig. 1B). The expression levels of PER1 and GPX4 were significantly negatively correlated (P < 0.01) (Supplementary Table 5). Moreover, GPX4 expression was significantly correlated with OSCC tumor size, cervical lymph node metastasis, and TNM staging (P < 0.05) (Table 1); Kaplan–Meier survival analysis of these forty OSCC showed that the average overall survival time (OS) of OSCC patients with high GPX4 expression was significantly shorter than those with low expression (P < 0.05) (Fig. 1C).
Table 1.
The relationship between GPX4 expression and clinicopathological features of patients with OSCC.
| Parameters | Total | GPX4 Expression | X2 | P value | |
|---|---|---|---|---|---|
| Low | High | ||||
| Age | 0.63 | 0.73 | |||
| ≥60 | 5 | 2 | 3 | ||
| 45–60 | 19 | 7 | 12 | ||
| <45 | 16 | 8 | 8 | ||
| Gender | 0.017 | 0.896 | |||
| Male | 24 | 10 | 14 | ||
| Female | 16 | 7 | 9 | ||
| Tumor Differentiation | 2.063 | 0.356 | |||
| Well | 16 | 9 | 7 | ||
| Moderate | 18 | 6 | 12 | ||
| Poor | 6 | 2 | 4 | ||
| T Stage | 21.909 | <0.01 | |||
| T1 | 5 | 5 | 0 | ||
| T2 | 19 | 12 | 7 | ||
| T3 | 13 | 0 | 13 | ||
| T4 | 3 | 0 | 3 | ||
| lymph node metastasis | 6.812 | 0.009 | |||
| Yes | 21 | 13 | 8 | ||
| No | 19 | 4 | 15 | ||
| Clinical Stage | 19.742 | <0.01 | |||
| Ⅰ | 5 | 5 | 0 | ||
| Ⅱ | 10 | 8 | 2 | ||
| Ⅲ | 11 | 2 | 9 | ||
| Ⅳ | 14 | 2 | 12 | ||
| Site | 3.6 | 0.463 | |||
| Gingival | 7 | 2 | 5 | ||
| Tongue | 15 | 6 | 9 | ||
| Buccal | 10 | 6 | 4 | ||
| Palate | 3 | 2 | 1 | ||
| Floor of the Oral | 5 | 1 | 4 | ||
These results suggest that ferroptosis plays an important role in the initiation and development of OSCC and may be negatively regulated by PER1.
PER1 promotes ferroptosis in OSCC cells
To explore the regulation of ferroptosis by PER1 in OSCC cells, we detected the expression of the key ferroptosis-related proteins GPX4, solute carrier family 7 member 11 (SLC7A11) and transferrin receptor (TFRC), detected the levels of GSH, MDA, ROS and Fe2+, and observed mitochondrial morphology in OSCC cells with overexpression or silencing of PER1. The results showed that compared with those of the control group, the levels of GPX4, SLC7A11 and GSH were significantly reduced (P < 0.05), and the levels of TFRC, MDA, ROS and Fe2+ were significantly increased (P < 0.05) in the OE-PER1-SCC15 and OE-PER1-CAL27 cells (Fig. 2A-E). Shrunken mitochondria, increased membrane density, and decreased cristae were observed in the OE-PER1 cells by transmission electron microscopy (Fig. 2F). In the sh-PER1-TSCCA cells, the levels of GPX4, SLC7A11, and GSH were significantly increased (P < 0.05), and the levels of TFRC, MDA, ROS, and Fe2+ were significantly reduced (P < 0.05) (Fig. 2A-E), while no obvious change was found in mitochondrial morphology (Fig. 2F).
Fig. 2.
PER1 promotes ferroptosis in OSCC cells. (A) Western blotting showed that TFRC protein expression significantly increased in the OE-PER1-SCC15 and OE-PER1-CAL27 cells and decreased significantly in the sh-PER1-TSCCA cells; SLC7A11 and GPX4 protein levels were decreased significantly in the OE-PER1-SCC15 and OE-PER1-SCC15 cells and significantly increased in the sh-PER1-TSCCA cells. (B) GSH content detection showed that GSH levels were significantly reduced in the OE-PER1-SCC15 and OE-PER1-CAL27 cells and significantly increased in the sh-PER1-TSCCA cells. (C) MDA content detection showed that MDA levels increased significantly in the OE-PER1-SCC15 and OE-PER1-CAL27 cells and decreased significantly in the sh-PER1-TSCCA cells. (D) Flow cytometry showed that ROS levels increased significantly in the OE-PER1-SCC15 and OE-PER1-CAL27 cells and decreased significantly in the sh-PER1-TSCCA cells. (E) The fluorescence intensity of Fe2+ stained by FerroOrange was significantly enhanced in the OE-PER1-SCC15 and OE-PER1-CAL27 cells but was significantly reduced in the sh-PER1-TSCCA cells. (F) Shrunken mitochondria, increased membrane density, and decreased cristae were shown in the OE-PER1-SCC15 and OE-PER1-CAL27 cells under TEM. There was no significant change in mitochondrial morphology in the sh-PER1-TSCCA cells. All data are representative of 3 independent experiments. Data are shown as the mean ± SD (n ≥ 3). *P < 0.05; **P < 0.01; *** P < 0.001; ****P < 0.0001.
Further verification was performed in the OE-PER1-SCC15 cells infected with sh-PER1 lentivirus to silence PER1 again. The results showed that compared with those in SCC15 cells, the levels of GPX4, SLC7A11 and GSH in the OE-PER1-SCC15 cells were significantly reduced (P < 0.05), and the levels of TFRC, MDA and ROS were significantly increased (P < 0.05). However, silencing PER1 in the OE-PER1-SCC15 cells significantly rescued these effects (P < 0.05) (Fig. 3).
Fig. 3.
Ferroptosis promoted in OE-PER1 SCC15 cells is reversed when PER1 is knocked down. (A) Western blotting showed that after PER1 silencing in the OE-PER1-SCC15 cells, PER1 overexpression increased TFRC protein expression and decreased SLC7A11 and GPX4 protein levels were rescued. (B-D) After silencing of PER1 in the OE-PER1-SCC15 cells, PER1 overexpression decreased the GSH levels (B) and increased MDA levels (C), and ROS levels (D) were reversed. All data are representative of 3 independent experiments. Data are shown as the mean ± SD (n ≥ 3). *P < 0.05; **P < 0.01; *** P < 0.001; ****P < 0.0001.
These results indicate that PER1 overexpression promotes ferroptosis, while PER1 silencing inhibits ferroptosis in OSCC cells.
PER1 promotes OSCC cell ferroptosis via HIF-1α in vitro and in vivo
Current studies have shown that HIF-1α is an important pathway regulating ferroptosis [25]. However, whether PER1 can regulate HIF-1α is still unknown in OSCC. Therefore, we detected HIF-1α mRNA and protein expression in OSCC cells with overexpression or silencing of PER1. The results showed that HIF-1α protein in the OE-PER1-SCC15 and OE-PER1-CAL27 cells was significantly reduced (P <0.01), and HIF-1α protein expression in the sh-PER1-TSCCA cells was significantly increased (P < 0.01) (Fig. 4A), while the HIF-1α mRNA levels did not change significantly in OSCC cells with either overexpression or silencing of PER1 (P > 0.05) (Fig. 4A). These results indicate that PER1 can regulate HIF-1α protein levels, but not HIF-1α mRNA levels.
Fig. 4.
PER1 promotes OSCC cell ferroptosis via HIF-1α. (A) Western blotting showed that HIF-1α protein expression was significantly reduced in the OE-PER1-SCC15 and OE-PER1-CAL27 cells and significantly increased in the sh-PER1-TSCCA cells, while HIF-1α mRNA expression was not significantly changed. (B) Western blotting showed that after the OE-PER1-SCC15 cells were treated with DMOG, the increase in TFRC expression and the decrease in SLC7A11 and GPX4 expression caused by PER1 overexpression were reversed; after the sh-PER1-TSCCA cells were treated with LW6, the decrease in TFRC expression and the increase in SLC7A11 and GPX4 expression caused by PER1 silencing were reversed. (C-E) After the OE-PER1-SCC15 cells were treated with DMOG, the decreased GSH level (C) and increased MDA (D) and ROS levels (E) caused by PER1 overexpression were reversed. After the sh-PER1-TSCCA cells were treated with LW6 and the increased GSH level (B) and decreased MDA (C) and ROS levels (D) caused by PER1 silencing were reversed. All data are representative of 3 independent experiments. Data are shown as the mean ± SD (n ≥ 3). *P < 0.05; **P < 0.01; *** P < 0.001; ****P < 0.0001. ANT, adjacent non-cancerous tissues.
To explore whether PER1 regulates the ferroptosis of OSCC cells through HIF-1α, we cultured PER1-overexpressing or PER1-silenced OSCC cells with the HIF-1α activator DMOG (China, Selleck, S7483) or the HIF-1α inhibitor LW6 (China, Selleck, S8441) to detect changes in ferroptosis. The results showed that after DMOG (1 mM, 24 h) treatment, the decreased levels of GPX4, SLC7A11 and GSH, as well as the increased levels of TFRC, MDA and ROS were significantly restored in the OE-PER1-SCC15 cells (P < 0.05) (Fig. 4B-E). After LW6 (20 μM, 24 h) treatment of the sh-PER1-TSCCA cells, the increased levels of GPX4, SLC7A11, and GSH, as well as the decreased levels of TFRC, MDA, and ROS recovered significantly (P < 0.05) (Fig. 4B-E).
These effects were further verified through subcutaneous tumor formation assays in vivo. The results showed that the growth rate, tumor weight and volume of subcutaneous tumors in the OE-PER1-SCC15 group were significantly lower than those in the vector group (P < 0.01) (Fig. 5A-C). In the tumors of the OE-PER1-SCC15 group, TFRC protein expression was significantly increased, and GPX4 and HIF-1α protein levels were significantly decreased (P < 0.05) (Fig. 5D). In addition, the IHC results in the cancer tissues of the 40 OSCC patients showed that PER1 expression was significantly reduced (Fig. 1B) and HIF-1α expression was significantly increased (P < 0.05) (Fig. 5E). The expression levels of PER1 and HIF-1α were significantly negatively correlated (P < 0.05) (Supplementary Table 5), while HIF-1α and GPX4 expression levels were significantly positively correlated (P < 0.05) (Supplementary Table 6).
Fig. 5.
PER1 inhibits OSCC in vivo. (A-C) Subcutaneous tumor formation assays in nude mice showed that the volume and weight of tumors in the OE-PER1-SCC15 group increased significantly. (D) The expression of GPX4 and HIF-1α in the OE-PER1-SCC15 group was decreased, and TFRC expression was increased in the tumors. (E) HIF-1α expression in tumor tissues of OSCC patients (n = 40) was significantly higher than that in adjacent tissues. All data are representative of 3 independent experiments. Data are shown as the mean ± SD (n ≥ 3). *P < 0.05; **P < 0.01; *** P < 0.001; ****P < 0.0001. ANT, adjacent non-cancerous tissues.
These results indicate that PER1 regulates the ferroptosis of OSCC cells via HIF-1α in vitro and in vivo.
PER1 binds with HIF-1α and promotes HIF-1α degradation
We previously showed that in OSCC cells, overexpression or silencing of PER1 leads to a significant decrease or increase in HIF-1α protein, respectively, but there was no significant change in the level of HIF-1α mRNA (Fig. 4A). Therefore, we explored the mechanism of PER1 in HIF-1α regulation based on protein interactions. Co-IP results showed that in SCC15 cells, PER1 could bind to HIF-1α (Fig. 6A). The CHX tracking assays proved that, the half-life of the HIF-1α protein in the OE-PER1-SCC15 cells was significantly shorter than that of the SCC15 cells (P < 0.05) (Fig. 6B). The shorter half-life of the HIF-1α protein was significantly restored after PER1 knockdown in the OE-PER1-SCC15 cells (P < 0.05) (Fig. 6B). These results indicate that the binding of PER1 with HIF-1α promotes the degradation of HIF-1α.
Fig. 6.
PER1 forms a negative feedback loop with HIF-1α. (a)Co-IP shows that in SCC15 cells, PER1 binds with HIF-1α to form a PER1/HIF-1α complex. (B) CHX tracking experiments proved that the half-life of HIF-1α protein in the OE-PER1-SCC15 cells was significantly shortened and recovered significantly after PER1 was silenced in the OE-PER1-SCC15 cells. (C) Schematic diagrams of the binding sites of HIF-1α protein and the PER1 promoter. (D-E) PER1 mRNA and protein levels in TSCCA cells treated with DMOG were significantly reduced. (F-H) PER1 mRNA expression was significantly reduced in the OE-HIF-1α-TSCCA cells (F), and PER1 and TFRC protein levels were significantly reduced, while GPX4 and SLC7A11 protein levels were significantly increased (GH). (I) ChIP showed that HIF-1α protein binds to the PER1 promoter. (J) The dual luciferase reporter assay showed that the relative fluorescence intensity of PER1 in the OE-HIF-1α-TSCCA cells was significantly reduced. All data are representative of 3 independent experiments. Data are shown as the mean ± SD (n ≥ 3). *P < 0.05; **P < 0.01; *** P < 0.001; ****P < 0.0001. CHX, Cycloheximide.
HIF-1α inhibits PER1 transcription
Considering that HIF-1α is a transcription factor that regulates many important biological functions [28,32], we used the databases JASPAR (http://jaspar.genereg.net/) and animal TFDB (http://bioinfo.life.hust.edu.cn/AnimalTFDB/#!/) to explore its target genes. Interestingly, there were multiple HIF-1α binding sites on the PER1 promoter (Fig. 6C). This finding suggests that HIF-1α may have feedback transcriptional regulation on PER1. To confirm this transcriptional regulation, we detected PER1 expression in TSCCA cells cultured with the HIF-1α activator DMOG. The results showed that after treatment with DMOG, the PER1 mRNA and protein levels in TSCCA cells were significantly reduced (P < 0.01) (Fig. 6D-E). Then, we established TSCCA cells overexpressing HIF-1α (OE-HIF-1α-TSCCA). RT-qPCR results showed that PER1 mRNA was significantly reduced in the OE-HIF-1α-TSCCA cells (P < 0.01) (Fig. 6F). Western blotting showed that PER1 and TFRC protein levels were significantly reduced, and GPX4 and SLC7A11 protein levels were significantly increased in the OE-HIF-1α-TSCCA cells (P < 0.01) (Fig. 6G-H). Furthermore, the transcriptional regulatory effect of HIF-1α on PER1 was confirmed with ChIP and dual luciferase reporter assays. ChIP results showed that HIF-1α can bind to the PER1 promoter in TSCCA cells (Fig. 6I). The dual luciferase reporter assay showed that the relative fluorescence intensity of the PER1 promoter in the OE-HIF-1α-TSCCA cells was significantly reduced compared with that in the TSCCA cells (P < 0.01) (Fig. 6J).
These results prove that in OSCC cells, HIF-1α can bind to the PER1 promoter to inhibit PER1 transcription, and that PER1 and HIF-1α form a PER1/HIF-1α negative feedback loop to regulate ferroptosis.
Discussion
At present, it has been proven that the core circadian clock gene PER1 is involved in the regulation of apoptosis, autophagy and DNA damage repair as well as other important physiological processes [16, [33], [34]], and its abnormal expression plays an important role in the occurrence and development of many cancers such as gastric cancer and non-small cell lung cancer [13], [14], [15], [16]. We found that PER1 is expressed at low levels in OSCC tissues and is significantly related to the clinical stage and survival time of OSCC patients [17, 18]. These studies suggest that PER1 has an important and extensive tumor suppressor effect, and in-depth PER1 research may have important prospects for clinical translation. This study showed for the first time that PER1 can regulate cell ferroptosis. We have proven that low PER1 expression in OSCC inhibits ferroptosis and promotes tumor growth in vivo and in vitro. The binding of HIF-1α and PER1 forms a PER1/HIF-1α negative feedback loop, which amplifies the effect of PER1 on inhibiting ferroptosis in cancer cells. Our findings contribute to a complementary understanding of the mechanism of cancer.
Ferroptosis is a newly discovered mode of cell death that differs from other forms of cell death such as apoptosis, autophagy and necrosis in cell morphology, biochemistry, and genes [19, 20]. Deeper research may provide new targets and strategies for the treatment of cancer. The main feature of ferroptosis is that excess accumulation of iron-dependent lipid peroxides leads to cell death. Ferroptosis is a complicated process and involves glutathione depletion, decreased glutathione peroxidase (GPX4) activity, and inhibition of the cell antioxidant capacity, which lead to enhanced lipid peroxidation (LPO) and increased lipid reactive oxygen species (ROS), eventually triggering cell death [19]. Current studies have shown that ferroptosis plays important roles in the occurrence and development of lung cancer, gastric cancer, OSCC and other tumors [21], [22], [23], [24]. In this study, we proved the role of PER1 in regulating the ferroptosis of OSCC cells based on cell morphology, biochemistry and gene changes. We found that the levels of GPX4, SLC7A11, and GSH decreased, and the levels of TFRC, ROS, and Fe2+increased in the OSCC cells overexpressing PER1. Shrunken mitochondria, increased membrane density, and decreased cristae were shown in the OE-PER1 OSCC cells, which proved that PER1 promotes ferroptosis. We also obtained the opposite results in the PER1-silenced OSCC cells. Moreover, in vivo assays have verified these effects.
Exploring the molecular mechanisms that regulate ferroptosis may be a way to find new targets for the treatment of cancer. HIF-1α is an important pathway involved in the regulation of ferroptosis [25], [26], [27]. To explore whether PER1 can regulate ferroptosis through HIF-1α, we proved that HIF-1α mRNA expression did not change in OSCC cells overexpressing or silencing PER1, but HIF-1α protein expression decreased or increased, respectively. Furthermore, after addition of HIF-1α agonists or inhibitors to OSCC cells with overexpression or silencing of PER1, the changes in ferroptosis were significantly reversed. These results prove that PER1 regulates the ferroptosis of OSCC cells via HIF-1α. Chilov, D., et al. reported that PER1 protein can bind to HIF-1α protein in mouse brain tissue [30], but the functional effect of the binding of PER1 and HIF-1α is still unclear. We further confirmed through co-IP and CHX tracking experiments that PER1 combined with HIF-1α promotes HIF-1α degradation (the HIF-1α half-life is shortened) and promotes ferroptosis in OSCC cells. HIF-1α is an important transcription factor [28, 32]. Yu, C., et al. reported that PER1 mRNA expression decreased after HIF-1α was overexpressed in liver cancer cells [35]. Our research also found that PER1 mRNA and protein expression decreased and cell ferroptosis was inhibited after overexpression of HIF-1α in OSCC cells. We further proved that HIF-1α can bind to the PER1 promoter to inhibit PER1 transcription using ChIP and dual luciferase reporter assays. Based on the results above, we firstly proved that in OSCC, the binding of PER1 and HIF-1α forms a PER1/HIF-1α negative feedback loop to amplify the effect of PER1 on regulating ferroptosis in cancer cells. However, there are still some limitations in this study. Current researches show that the main mechanisms of protein degradation are the autophagic pathway and ubiquitin-dependent proteasome pathway [36]. In this study, the pathway through which PER1 and HIF-1α are combined to promote HIF-1α degradation needs to be further studied.
In summary, this study demonstrated for the first time that the core circadian clock gene PER1 regulates ferroptosis in OSCC cells in a HIF-1α-dependent manner in vitro and in vivo and that the binding of the PER1 and HIF-1α proteins promotes HIF-1α degradation. Moreover, HIF-1α binds to the PER1 promoter to inhibit PER1 transcription. PER1 binds with HIF-1α to form a PER1/HIF-1α negative feedback loop to amplify the effect of PER1 on regulating ferroptosis in cancer cells. These findings suggest that targeted regulation of the PER1/HIF-1α loop may provide a valuable new strategy for OSCC treatment in the future.
Author contributions
K.Y. conceived the study, analyzed the data. and revised the paper; Y.Y. performed experiments, analyzed the data, and wrote the paper; H.T and J.Z assisted in experiments and analyzed the data.
Declaration of Competing Interests
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This work was supported by Chongqing Talents · Innovation Leading Talents Project (CQYC20200303128); Natural Science Foundation of Chongqing, China (cstc2018jcyjAX0208).
Footnotes
Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.tranon.2022.101360.
Appendix. Supplementary materials
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