Abstract
Niu Zhanfeng1,2, Li Yanhui3, Fei Zhou2, Hao Shaocai1, Li Guangxing1, Xia Hechun1,4
1Department of Neurosurgery, The General Hospital of Ningxia Medical University, Yinchuan, China
2Department of Neurosurgery, The Xijing Hospital of The Fourth Miltary Medical University, Xi'an, China
3Graduate School of Ningxia Medical University, Yinchuan, China
4Incubation Base of National Key Laboratory for Cerebrocranial Diseases, Ningxia Medical University, Yinchuan, China
Correspondence to:
Xia Hechun, e-mail: [email protected]
Keywords: Per1, Per2, glioma, radiotherapeutic sensitivity
Received: September 24, 2014 Accepted: January 23, 2015 Published: February 07, 2015
ABSTRACT
Per1 and Per2 play a key role in regulating the circadian rhythm in mammals. We report here that although both genes were expressed with a circadian rhythm in glioma and normal brain tissue in rats, their expression profiles differed in the two types of tissue. In addition, high expression of Per1 and Per2 in glioma tissue was associated with increased sensitivity to x-irradiation. No such sensitizing effect was observed in normal tissue. Our results suggest that Per1 and Per2 expression may increase the efficacy of radiotherapy against glioma by promoting apoptosis.
INTRODUCTION
In organisms, healthy and cancerous cells alike have circadian clocks controlled by the same set of clock genes. You et al. reported characteristic chronobiological rhythms in a wide variety of tumors [1]. Studies in tumor-bearing mice suggest that optimizing the time when treatment is administered can reduce the toxicity of cytotoxic drugs, allow the use of higher doses, and improve treatment outcomes, including survival time [2]. Hori et al. [3] discovered that tumor tissue blood flow increased significantly at night. This suggests that the concentration of a drug reaching a tumor via the blood follows a circadian rhythm in vivo. Clinical studies have shown that using chronobiology to optimize the delivery time of the standard chemotherapy drug leads to the best outcomes in advanced colorectal cancer and pancreatic cancer [4, 5].
Circadian rhythms, and Per proteins in particular, may even influence cancer [6, 7]. Overexpression of Period1(Per1) and Period2(Per2) sensitizes human cancer cells to DNA damage-induced apoptosis, significantly increasing apoptosis in tumor cells [7–9]. In addition, Per1 and Per2 have been reported to be downregulated in several human cancers [10], and overexpression of either gene inhibits the growth of cancer cells [8, 11]. These studies show that high expression of Per1 and Per2 can promote tumor cell apoptosis. Therefore Per genes may act as tumor suppressors.
To test whether circadian expression of Per1 and Per2 may be involved in glioma growth, we analyzed expression patterns in both glioma and normal brain tissue. We found differences in the circadian expression, and we observed that in glioma tissue, Per1 and Per2 expression was positively correlated with apoptosis and negatively correlated with proliferation. These data further support the concept of chronobiology and provide an experimental basis for individualized treatment of glioma.
RESULTS
Rhythmic changes in Per1 and Per2 mRNA levels in normal and glioma tissues
We measured the expression of Per1 and Per2 mRNA over a period of 24 h in both normal and glioma tissue from rats. In normal tissues, the Per1 mRNA level peaked at ZT8, after which it gradually decreased and had a nadir at ZT20–24 (Supplementary Figure S1A). And Per2 mRNA expression levels began to rise immediately after ZT0, reached a peak at ZT12, and then gradually fell to a nadir at ZT24 (Supplementary Figure S1A). In contrast, in the glioma tissues, the Per1 mRNA level peaked at ZT4, it was low at ZT12, then it hit a second peak around ZT16 and a second trough around ZT24 (Supplementary Figure S1B). And the level of Per2 mRNA peaked at ZT24 (ZT0), fell to a low at ZT8, then rose to a second peak around ZT12, followed by a second trough around ZT20 (Supplementary Figure S1B).
Effect of irradiation on Per1 and Per2 gene expression
We used real-time RT-PCR to measure Per1 and Per2 mRNA levels in glioma and normal tissues after treatment with ionizing radiation (15 Gy). In normal tissue, we compared Per1 mRNA levels at ZT4, when Per1 expression was high in glioma tissue. The levels did not differ significantly between the irradiated and untreated (control) groups at this time (t = –1.405, p > 0.05). However, when we compared the levels at ZT12, when Per1 expression was low in glioma, the level in the irradiated group was significantly higher than in the control group (t = –5.135, p < 0.001, Figure 1). Per2 mRNA levels did not differ significantly between the irradiated and untreated (control) groups at either ZT0 (t = –1.742, p > 0.1) or ZT8 (t = –0.642, p > 0.5) (Figure 1), when Per2 expression in glioma tissue was high or low, respectively. In glioma tissue, the levels of Per1 and Per2 mRNA were significantly higher in the irradiated group than in the control group when Per1 and Per2 expression was elevated, i.e. at ZT4 for Per1 (t = –4.464, p < 0.001) and ZT0 for Per2 (t = –2.407, p < 0.05). Similar results were observed when Per1 and Per2 expression was low, i.e. at ZT12 for Per1 (t = –5.276, p < 0.001) and ZT8 for Per2 (t = –6.599, p < 0.001) (Figure 1).
Negative correlation between cell proliferation and Per1 and Per2 mRNA levels in glioma tissue
We measured cell proliferation in glioma and normal tissues at ZTs when Per1 and Per2 mRNA levels were high and low, following irradiation with a single dose of x-radiation (15 Gy). In glioma tissues, Per1 expression showed a period of 12 h. The proportion of proliferating cells at ZT4 (44.8%), when Per1 expression was at its peak, was not significantly different from the proportion at ZT12 (46.7%, p > 0.05), when Per1 expression was at a nadir. Similar results were obtained in normal tissue, where the proportion of proliferating cells was not significantly different between ZT4 (0.002%) and ZT12 (0.02%, p > 0.05) (Figure 2).
Proliferation in glioma tissue correlated with the level of Per2 expression (Figure 2). The proportion of proliferating cells at ZT0 (27.3%), when Per2 expression was maximal, was significantly lower than at ZT8 (63.9%, p < 0.001), when Per2 expression was at a nadir. In contrast, in normal tissue, the proportion of proliferating cells was not significantly different between ZT0 (0.016%) and ZT8 (0.027%, p > 0.05).
These results show an association between endogenous Per expression and proliferation after x-irradiation.
Positive correlation between apoptosis and Per1 and Per2 mRNA levels in glioma tissue
We detected apoptosis in glioma and normal tissue after irradiating animals at times when Per1 and Per2 mRNA levels were high and low. In glioma tissue, Per1 expression showed a period of approximately 12 h (Figure 3A, 3B). The proportion of apoptotic cells at ZT4 (28.1%, p > 0.05), when Per1 expression was at its peak, was not significantly different than at ZT12 (31.7%, p > 0.05), when Per1 expression was at a nadir. Similarly, in normal tissue (Figure 3C, 3D), the proportion of apoptotic cells was not significantly different between ZT4 (7.0%, p > 0.05) and ZT12 (6.1%, p > 0.05).
Figure 1: Changes in Per1 and Per2 mRNA expression in glioma and normal tissues after ionizing irradiation. Glioma and normal tissues were treated with ionizing radiation (IR) or not (untreated, UT), then total RNA was extracted and used as template in real-time RT-PCR to measure Per1 and Per2 mRNA expression. The relative level of each mRNA was normalized to the corresponding level of β-actin mRNA. Data are the mean and standard deviation of three independent experiments.
Figure 2: PCNA-based detection of proliferation in glioma and normal tissue subjected to x-irradiation at times (ZTs) when Per1 and Per2 mRNA levels were high and low. Scale bar in tumor column, 20 μm; scale bar in normal column, 50 μm.
Figure 3: TUNEL assay to detect apoptosis in glioma and normal tissue at times of high and low expression of Per1 following a single dose of x-radiation (15 Gy). Bar, 50 μm.
Apoptosis in glioma tissue correlated with the level of Per2 expression (Figure 4A, 4B). The proportion of apoptotic cells at ZT0 (35.0%, p < 0.001), when Per2 expression was maximal, was significantly higher than at ZT8 (21.5%, p < 0.001), when Per2 expression was at a nadir. In contrast, in normal tissue (Figure 4C, 4D), the proportion of apoptotic cells was not significantly different between ZT4 (7.7%, p > 0.05) and ZT12 (9.2%, p > 0.05).
Figure 4: TUNEL assay to detect apoptosis in the glioma and normal tissues at times of high and low expression of Per2 after a single dose of x-radiation (15 Gy). Bar, 50 μm.
These results show an association between endogenous Per expression and apoptosis level after x-irradiation.
DISCUSSION
Our former study has showed that Per1 and Per2 expression abnormalities can be associated with the occurrence of glioma [15]. In this research, we demonstrated that the expression of the clock oscillatory genes Per1 and Per2 shows a circadian rhythm in both glioma and normal brain tissue. However, the profile of the oscillation differs between the two types of tissue. The expression of Per1 and Per2 in glioma tissue shows a period of approximately 12 h, but in normal tissue it shows a period of approximately 24 h. The oscillation in Per expression in glioma tissue may indicate that it can generate circadian rhythms, and this circadian oscillation may be regulated by SCN. Cultured astrocytes, which also show circadian oscillation of clock gene activity [16], sustained these rhythms when co-cultured with explants of adult SCN, but not with cortical explants [17].
We x-irradiated normal and glioma tissue at times when Per1 and Per2 mRNA levels were high and low in gliomas. We observed that Per1 and Per2 mRNA levels in irradiated glioma tissue were significantly higher than in untreated glioma. In normal tissue, however, the expression of Per1 and Per2 was similar in irradiated and control tissue, except at ZT12, when Per1 expression was significantly higher in irradiated tissue. Previous studies showed that irradiation upregulates transcription of a number of murine clock genes, including Per1 and Per2 [7]. This suggests that x-irradiation can increase the expression of Per1 and Per2 in glioma tissue.
To determine whether changes in Per1 and Per2 expression may affect the radiation sensitivity of glioma, we measured proliferation and apoptosis of glioma cells when rats were x-irradiated at times when Per1 and Per2 mRNA levels were high and low. Proliferation and apoptosis of glioma cells showed no significant difference when Per1 expression was high (ZT4) or low (ZT12). In contrast, proliferation was significantly lower and apoptosis significantly higher in glioma cells expressing high levels of Per2 (ZT0) than in cells expressing low levels (ZT8). This suggests that the low proliferation and high apoptosis associated with low Per1 expression in glioma may result from the coincidence at ZT12 of high Per2 expression and low Per1 expression. According to this hypothesis, the high proliferation and low apoptosis normally associated with low Per1 expression is masked at ZT12 by the low proliferation and high apoptosis associated with high Per2 expression.
DNA damage from agents that cause double-strand breaks (DSBs), such as ionizing irradiation, is one of the most harmful DNA lesions. When DSBs occur, cells either activate their replication checkpoints to delay S phase progression and G2/M transition, or when faced with irreparable damage, they activate their apoptotic machinery [18, 19]. As the core circadian genes, Per1 and Per2 not only maintain the circadian rhythm of cells, they also sustain the normal cell cycle by regulating the expression of cell cycle-related genes such as p53, c-Myc and cyclinB1 [7, 19, 20]. Fu et al. [7] reported that when wild-type mice and mice carrying two defective copies of the mouse Per2 gene (mPer2m/m) were treated with x-radiation, the ratio of apoptotic thymocytes was about 2-fold higher in wild-type thymus; in addition, the level of p53 protein in mice was lower than in wild-type mice. The levels of p53 mRNA and protein were higher in Lewis lung carcinoma (LLC) cells than in vector control cells. This suggests that overexpression of mPer2 induces p53 expression, which then suppresses tumor growth [11, 21]. This is consistent with studies in Per2-overexpressing leukemia cells [9]. When mammalian cells contain damaged DNA, the p53 tumor suppressor and the Rb family of transcriptional repressors work together to downregulate a large number of genes that encode proteins required for the G2/M transition. Elimination of these essential cell cycle proteins helps to keep the cells arrested in G2 [22]. Another study showed that p53 is a Cdk1-CyclinB1 regulator that may inhibit Cdk1-CyclinB1 transcription, leading to cell cycle arrest at G2/M [23]. Moreover, circadian regulation of CyclinB1 appears to be indirect and to occur via a p53-dependent mechanism, with p53 helping to block entry into mitosis and strengthen G2 arrest [24]. These findings suggest that the high expression of Per1 and Per2 observed after irradiation in our study upregulated p53 expression, which arrested the cells at G2/M. In addition, the high expression of Per1 and Per2 sensitized the glioma cells to x-irradiation, promoting apoptosis as a result.
Our findings extend previous studies showing that overexpression of Per1 and Per2 promotes apoptosis by altering the expression of apoptosis-related genes [7, 19, 20], including in prostate cancer cells [25]. Overexpression of Per1 and Per2 sensitized human cancer cells to DNA damage-induced apoptosis, while inhibiting expression of these genes in similarly treated cells reduced apoptosis [19, 20]. Transfecting human cancer cell lines with Per1 and Per2 expression plasmids led to cessation of growth [8, 9, 11].
The c-Myc oncoprotein is a transcription factor that promotes cell growth and proliferation, as well as apoptosis under certain conditions. Activation of the c-Myc oncoprotein is a frequent event in human cancer and has been associated with almost every aspect of tumorigenesis [26, 27]. Abnormal expression of c-Myc has been suggested as the cause of malignant growth in mice with disrupted circadian coordination [28]. In addition, deregulated expression of c-Myc has been suggested as a key factor leading to tumor development in Per2 mutant mice [7]. When radiation-induced DSBs were introduced in LLC cells overexpressing mPer2, c-Myc mRNA and protein levels decreased below the levels in empty-vector control cells. The overexpression of Per2 induces Bmal1 expression and then increases intracellular levels of Bmal1/Npas2 or Bmal1/Clock proteins, in addition to repressing c-Myc [11]. Furthermore, the p53 protein binds to the c-Myc promoter in vivo and represses it through a mechanism that involves histone deacetylation [29]. Thus, overexpression of Per2 may promote apoptosis in glioma tissue by downregulating c-Myc and upregulating p53.
Conversely, previous research has shown that irradiation of Per1-overexpressing cells led to considerable upregullation of c-Myc, and irradiation induced p21 Waf1/Cip1 accumulation in cells transfected with empty vector, whereas this response was markedly attenuated in HCT116 cells overexpressing Per1.20 Thus, Per1 may sensitize cells to DNA damage-induced apoptosis by elevating c-Myc and suppressing p21Waf1/Cip1 [8, 30]. This suggests that Per1 and Per2 promote apoptosis through different mechanisms.
Our results suggest that Per1 and Per2 act as tumor suppressor genes in gliomas and that their high expression can induce cell cycle arrest and increase tumor sensitivity to x-rays through a p53-dependent mechanism. This is consistent with previous studies showing that Per1 is a tumor suppressor gene in non-small lung cell cancer [31] and prostate cancer [25]. The radiosensitivity of cells appears to depend on where they are in the cell cycle, with G2/M phase the most sensitive period [32]. Peak expression of Per1 and Per2 during the day may have effects similar to those of other agents that arrest cells in G2/M and that are known to be effective radiosensitizing agents [33, 34], such as celecoxib, gefitinib, and tachpyridine [35]. Khapre RV et al. [36] also discussed the circadian rhythm which is driven by mTOR and is different from other diurnal clocks. Importantly, fasting and calorie restriction inhibits mTOR [37], and as a result fasting may improve cancer therapy [38]. Also, aging is associated with cancer and poor response to therapy. This may be explained in part by alterations of circadian rhythm [39–43]. Future research should focus on the detailed mechanisms by which Per1 and Per2 regulate the expression of genes related to cell proliferation and apoptosis in gliomas. Further studies should also test the potential survival benefit of chronotherapy in gliomas and develop optimal scheduling guidelines for radiation therapy.
MATERIALS AND METHODS
Cell culture
C6 cells were cultured in Dulbecco's Modified Eagle's Medium (DMEM, Hyclone, catalog no. SH30022.01B) supplemented with 10% fetal bovine serum (FBS, Hyclone, catalog no. SV30087.01) at 37ºC with 5% CO2.
Animal experiments
These studies were conducted in accordance with the animal care guidelines instituted by the Animal Studies Committee of Ningxia Medical University.
Sprague–Dawley male rats (n = 160, 120–150 g) were obtained from Ningxia Medical University Experimental Animal Center. The rats were housed under a standard light/dark cycle of 12 h:12 h at 24 ± 1°C. In this study, times are reported as Zeitgeber time (ZT), or hours after light onset. Thus, ZT 0 indicates when lights were turned on and ZT 12 when lights were turned off. The animals were adapted to the 12 h:12 h light/dark cycle for 3 weeks before the experiments. The glioma rat model was established according to Watanabe's method [12]. Animals were anesthetized for irradiation and perfusion procedures; anesthesia consisted of an i.p. injection of sodium pentobarbital (50 mg/kg).
To examine the expression of Per1 and Per2 genes in rat glioma and normal tissue over 24 hours, we first examined mRNA expression during this period. Ten animals were killed by anesthesia (100 mg/kg) every 4 h, i.e. at ZT4, ZT8, ZT12, ZT16, ZT20, and ZT24 (ZT0). Tumor tissue and contralateral normal tissue were rapidly removed and frozen in liquid nitrogen. Tissue was then processed for quantification of Per1 and Per2 mRNA by real-time RT-PCR.
In order to determine the effects of irradiation on glioma and normal tissue when Per1 and Per2 mRNA levels were high and low, tumor-bearing rats (n = 60) were randomized into six groups, and 10 rats were administered a single 15-Gy dose of x-rays (Varian 2100C/D, USA) at each of the following time points: ZT4, ZT8, ZT12, ZT16, ZT20, ZT24. At 6 h after irradiation [7, 13], rats were killed by anesthesia (100 mg/kg) and perfused with 4% paraformaldehyde. The brains were fixed overnight in 10% phosphate-buffered formalin (PBF), rinsed in 70% ethanol, and paraffin-embedded.
In order to observe the expression of Per1 and Per2 mRNA in glioma and normal tissue after irradiation, tumor-bearing rats (n = 40) were randomized into four groups and subjected to 15 Gy of radiation at times when Per1 and Per2 mRNA levels were high and low. The tumor tissue and contralateral normal tissue were rapidly removed and frozen in liquid nitrogen. This tissue was used for quantification of Per1 and Per2 mRNA by real-time RT-PCR.
Real-time RT-PCR
Total RNA from glioma and normal tissues was extracted using Trizol reagent (Invitrogen, catalog no. 15596026). RNA (2 μg) was reverse-transcribed into cDNA using the cDNA synthesis kit (Invitrogen, catalog no. 11917020) following the manufacturer's instructions. PCR primers for rat Per (rPer) used in this study were as follows: rPer1 sense, 5-GGTCACGGAGTCATCCAATCA-3; rPer1 antisense, 5-ATCCCGAACCAGACCCAGAG-3; rPer2 sense, 5-GTGAAAGTGAGGAGAAAGGCAACC-3; rPer2 antisense, 5-CACCTCTTCCGAGCACCGTC TA-3; β-actin sense, 5-CCCATCTATGAGGGTTACGC-3; β-actin antisense, 5-TTTAATGTCACGCACGATTTC-3. In each set of six samples run in parallel, one sample was used to run a calibration reaction. Relative expression of Per1 and Per2 mRNA levels was determined using the relative quantification method and 2-ΔΔCt analysis [14].
Cell proliferation analysis
We measured cell proliferation in glioma and normal tissue by determining levels of proliferating cell nuclear antigen (PCNA). Sections (4 μm) of paraffin-embedded tissue were labelled with mouse monoclonal antibodies against PCNA (1:100 dilution, Boster, catalog no. BM0104, Wuhan, China). After blocking the tissue with goat serum to reduce any non-specific binding to the conjugated second antibody, the samples were incubated overnight at 4ºC with primary antibodies. After three washes with phosphate-buffered saline (PBS, pH 7.2), a secondary antibody kit (Bioss, catalog no. SP-0024, Beijing, China) was used according to the manufacturer's instructions. Immunostaining was performed with diaminobenzidine (DAB). Slides were counterstained with hematoxylin for 3 min, dehydrated through a graded series of ethanol solutions, placed into xylene for 5 min, and coverslipped. As a negative control, primary antibody was replaced with PBS. Slides were examined by light microscopy (Olympus BX-61).
TUNEL assay
To detect apoptotic cells in tumor and normal tissue, sections were analyzed by terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate-biotin nick end-labeling (TUNEL, Roche, 11684817910) according to the manufacturer's instructions. After deparaffinization, sections were treated with proteinase K (20 mg/ml in 10 mM Tris/HCl, pH 7.4–8.0) for 30 min at 37°C. Then the sections were incubated with TUNEL reaction mixture for 60 min at 37°C in a humidified atmosphere in the dark. The slides were rinsed 3 times with PBS, coverslipped using VectaSHIELD mounting medium containing DAPI (Vector Laboratories, catalog no. H-1200), and analyzed by laser scanning confocal microscope (Olympus FV1000 Viewer). Excitation wavelengths were in the range of 450–500 nm and detection wavelengths in the range of 515–565 nm (green).
Statistical analysis
Real-time PCR results are reported as mean ± standard deviation and were analyzed statistically using the ANOVA test and Student's t-test. The Pearson chi-square test was used to compare apoptosis and proliferation results between groups. P values of less than 0.05 were considered statistically significant.
ACKNOWLEDGMENTS
We thank the Incubation Base of the National Key Laboratory for Cerebrocranial Diseases, Ningxia Medical University, and the Departments of Pathology and Radiotherapy of Ningxia Medical University Hospital for providing support and help. This work was also supported by the National Natural Science Foundation of China (grant 30860289 and 81160313) and Science Foundation of Ningxia Medical University (No. XM201039).
REFERENCES
1. You SJ, Wood PA, Xiong Y, Kobayashi M, Du-Quiton J, Hrushesky WJ. Daily coordination of cancer growth and circadian clock gene expression. Breast Cancer Res Treat. 2005; 91:47–60.
2. Wood PA, Du-Quiton J, You S, Hrushesky WJ. Circadian clock coordinates cancer cell cycle progression, thymidylate synthase, and 5-fluorouracil therapeutic index. Mol Cancer Ther. 2006; 5:2023–33.
3. Hori K, Zhang QH, Li HC, Saito S, Sato Y. Timing of cancer chemotherapy based on circadian variations in tumor tissue blood flow. Int J Cancer. 1996; 65:360–4.
4. Efficace F, Innominato PF, Bjarnason G, Coens C, Humblet Y, Tumolo S, Genet D, Tampellini M, Bottomley A, Garufi C, Focan C, Giacchetti S, Lévi F. Validation of patient's self-reported social functioning as an independent prognostic factor for survival in metastatic colorectal cancer patients: results of an international study by the chronotherapy group of the European Organisation for Research and Treatment of Cancer. J Clin Oncol. 2008; 26:2020–26.
5. Eriguchi M, Levi F, Hisa T, Yanagie H, Nonaka Y, Takeda Y. Chronotherapy for cancer. Biomed Pharmacother. 2003; 57:92–95.
6. Matsuo T, Yamaguchi S, Mitsui S, Emi A, Shimoda F, Okamura H. Control mechanism of the circadian clock for timing of cell division in vivo. Science. 2003; 302:255–9.
7. Fu L, Pelicano H, Liu J, Huang P, Lee C. The circadian gene Period2 plays an important role in tumor suppression and DNA damage response in vivo. Cell. 2002; 111:41–50.
8. Gery S, Komatsu N, Baldjyan L, Yu A, Koo D, Koeffler HP. The circadian gene per1 plays an important role in cell growth and DNA damage control in human cancer cells. Mol Cell. 2006; 22:375–82.
9. Sun CM, Huang SF, Zeng JM, Liu DB, Xiao Q, Tian WJ, Zhu XD, Huang ZG, Feng WL. Per2 inhibits k562 leukemia cell growth in vitro and in vivo through cell cycle arrest and apoptosis induction. Pathol Oncol Res. 2010; 16:403–11.
10. Fu L, Lee CC. The circadian clock: pacemaker and tumour suppressor. Nat Rev Cancer. 2003; 3:350–61.
11. Hua H, Wang Y, Wan C, Liu Y, Zhu B, Yang C, Wang X, Wang Z, Cornelissen-Guillaume G, Halberg F. Circadian gene mPer2 overexpression induces cancer cell apoptosis. Cancer Sci. 2006; 97:589–96.
12. Watanabe K, Sakamoto M, Somiya M, Amin MR, Kamitani H, Watanabe T. Feasibility and limitations of the rat model by C6 gliomas implanted at the subcutaneous region. Neurol Res. 2002; 24:485–90.
13. Shinohara C, Gobbel GT, Lamborn KR, Tada E, Fike JR. Apoptosis in the subependyma of young adult rats after single and fractionated doses of X-rays. Cancer Res. 1997; 57:2694–702.
14. Verheyde J, de Saint-Georges L, Leyns L, Benotmane MA. The role of Trp53 in the transcriptional response to ionizing radiation in the developing brain. DNA Res. 2006; 13:65–75.
15. Xia HC, Niu ZF, Ma H, Cao SZ, Hao SC, Liu ZT, Wang F. Deregulated expression of the Per1 and Per2 in human gliomas. Can J Neurol Sci. 2010; 37:365–70.
16. Haus E. Chronobiology of the mammalian response to ionizing radiation. Potential applications in oncology. Chronobiol Int. 2002; 19:77–100.
17. Paez PM, Spreuer V, Handley V, Feng JM, Campagnoni C, Campagnoni AT. Increased expression of golli myelin basic proteins enhances calcium influx into oligodendroglial cells. J Neurosci. 2007; 27:12690–9.
18. Nakanishi M. Cell cycle checkpoints and cancer. Tanpakushitsu Kakusan Koso. 2009; 54:556–60.
19. Sancar A, Lindsey-Boltz LA, Ünsal-Kaçmaz K. Molecular mechanisms of mammalian DNA repair and the DNA damage checkpoints. Annu Rev Biochem. 2004; 73:39–85.
20. Duffield GE, Best JD, Meurers BH, Bittner A, Loros JJ, Dunlap JC. Circadian programs of transcriptional activation, signaling, and protein turnover revealed by microarray analysis of mammalian cells. Curr Biol. 2002; 12:551–7.
21. Zhang J, Chen X. The p53 family: prospect for cancer gene therapy. Cancer Biol Ther. 2007; 6:116–8.
22. Stark GR, Taylor WR. Control of the G2/M transition. Mol Biotechnol. 2006; 32:227–48.
23. Rong Hu, Andrew E. Aplin. Skp2 regulates G2/M progression in a p53-dependent manner. Mol Biol Cell. 2008; 19:4602–10.
24. Shih RS, Wong SH, Schoene NW, Zhang JJ, Lei KY. Enhanced Gadd45 expression and delayed G2/M progression are p53-dependent in zinc-supplemented human bronchial epithelial cells. Exp Biol Med (Maywood). 2010; 235:932–40.
25. Cao Q, Gery S, Dashti A, Yin D, Zhou Y, Gu J, Koeffler HP. A role for the clock gene per1 in prostate cancer. Cancer Res. 2009; 69:7619–25.
26. Adhikary S, Eilers M. Transcriptional regulation and transformation by Myc proteins. Nat Rev Mol Cell Biol. 2005; 6:635–45.
27. Koh CM, Iwata T, Zheng Q, Bethel C, Yegnasubramanian S, De Marzo AM. Myc enforces overexpression of EZH2 in early prostatic neoplasia via transcriptional and post-transcriptional mechanisms. Oncotarget. 2011; 2:669–83.
28. Filipski E, Innominato PF, Wu M, Li XM, Iacobelli S, Xian LJ, Lévi F. Effects of light and food schedules on liver and tumor molecular clocks in mice. J Natl Cancer Inst. 2005; 97:507–17.
29. Ho JS, Ma W, Mao DY, et al. p53-dependent transcriptional repression of c-myc is required for G1 cell cycle arrest. Mol Cell Biol. 2005; 25:7423–31.
30. Seoane J, Le H-V, Massagué J. Myc suppression of the p21(Cip1) Cdk inhibitor influences the outcome of the p53 response to DNA damage. Nature. 2002; 419:729–34.
31. Gery S, Komatsu N, Kawamata N, Miller CW, Desmond J, Virk RK, Marchevsky A, Mckenna R, Taguchi H, Koeffler HP. Epigenetic silencing of the candidate tumor suppressor gene Per1 in non-small cell lung cancer. Clin Cancer Res. 2007; 13:1399–404.
32. Wilson GD. Radiation and the cell cycle, revisited. Cancer Metastasis Rev. 2004; 23:209–25.
33. Tenzer A, Pruschy M. Potentiation of DNA-damage-induced cytotoxicity by G2 checkpoint abrogators. Curr Med Chem Anticancer Agents. 2003; 3:35–46.
34. Park JS, Jun HJ, Cho MJ, et al. Radiosensitivity enhancement by combined treatment of celecoxib and gefitinib on human lung cancer cells. Clin Cancer Res. 2006; 12:4989–99.
35. Turner J, Koumenis C, Kute TE, Planalp RP, Brechbiel MW, Beardsley D, Cody B, Brown KD, Torti FM, Torti SV. Tachpyridine, a metal chelator, induces G2 cell-cycle arrest, activates checkpoint kinases, and sensitizes cells to ionizing radiation. Blood. 2005; 106:3191–9.
36. Khapre RV, Patel SA, Kondratova AA, Chaudhary A, Velingkaar N, Antoch MP, Kondratov RV. Metabolic clock generates nutrient anticipation rhythms in mTOR signaling. Aging (Albany NY). 2014; 6:675–89.
37. Blagosklonny MV. Calorie restriction: decelerating mTOR-driven aging from cells to organisms (including humans). Cell Cycle. 2010; 9:683–8.
38. Safdie FM, Dorff T, Quinn D, Fontana L, Wei M, Lee C, Cohen P, Longo VD. Fasting and cancer treatment in humans: a case series report. Aging (Albany NY). 2009; 1:988–1007.
39. Khapre RV, Kondratova AA, Patel S, Dubrovsky Y, Wrobel M, Antoch MP, Kondratov RV. BMAL1-dependent regulation of the mTOR signaling pathway delays aging. Aging (Albany NY). 2014; 6:48–57.
40. Sahar S, Nin V, Barbosa MT, Chini EN, Sassone-Corsi P. Altered behavioral and metabolic circadian rhythms in mice with disrupted NAD+ oscillation. Aging (Albany NY). 2011; 3:794–802.
41. Brown SA, Schmitt K, Eckert A. Aging and circadian disruption: causes and effects. Aging (Albany NY). 2011; 3:813–7.
42. Yu EA, Weaver DR. Disrupting the circadian clock: gene-specific effects on aging, cancer, and other phenotypes. Aging (Albany NY). 2011; 3:479–93.
43. Siffroi-Fernandez S, Dulong S, Li XM, Filipski E, Gréchez-Cassiau A, Peteri-Brünback B, Meijer L, Lévi F, Teboul M, Delaunay F. Functional genomics identify Birc5/survivin as a candidate gene involved in the chronotoxicity of cyclin-dependent kinase inhibitors. Cell Cycle. 2014; 13:984–91.
