Introduction
Circadian rhythms describe the diurnal oscillation of behavior and physiology in anticipation of environmental fluctuations. In mammals, lighting cues are transmitted from the retina, via the retinohypothalamic tract, to the central clock located in the suprachiasmatic nuclei (SCN) in the anterior hypothalamus. These light-driven signals reset the timing or “phase” of the SCN circadian clocks, which determine the timing of activity and sleep-wake patterns. 1 The SCN indirectly synchronizes clocks in peripheral tissues through a combination of neuronal, behavioral, and hormonal cues that are incompletely defined. Disruption of the circadian network due to environmental disturbances, such as that experienced by night shift workers, increases the risk of disease, including malignancy. 2 Epidemiological studies observed increased risk of non-Hodgkin’s lymphoma in night shift workers. 3 However, rates of B cell and other subtypes of lymphoma were indistinguishable between shift workers and the general population. 4 Chronic jetlag (CJL) lighting protocols that mimic the divergent environmental lighting schedule experienced by shift workers have been shown to increase tumorigenesis in diverse mouse models of osteosarcoma, hepatocellular carcinoma, melanoma, colon cancer breast cancer, and lung adenocarcinoma, 5 – 13 suggesting that the impact of circadian disruption on tumorigenesis is not constrained by the cell type of origin and independent of oncogenic drivers. Additionally, multiple studies show that people who live further west within a time zone have an increased risk of developing several types of malignancies, including leukemias and lymphomas. 14 , 15 Nevertheless, the connection between circadian disruption and tumorigenesis remains poorly understood. 16
In mammals, the transcription factors brain and muscle ARNT-like protein 1 (BMAL1) and circadian locomotor output cycles kaput (CLOCK) form a heterodimer that activates transcription of genes driven by E-box elements (collectively known as clock-controlled genes, CCGs). CCGs include those that encode periods (PER1-3) and cryptochromes (CRY1-2), which repress BMAL1-CLOCK transactivation activity, resulting in a transcription-translation feedback loop (TTFL) that underpins daily oscillations.
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A secondary TTFL includes nuclear receptor subfamily 1 group D members 1 (NR1D1, a.k.a. REVERBα) and 2 (NR1D2, a.k.a. REVERBβ). BMAL1/CLOCK transactivates
Genetically engineered mouse models (GEMMs) of cancer are valuable research tools utilized to characterize oncogenic or tumor suppressive genes in combination with environmental stressors or novel therapeutic approaches.
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Eμ-MYC mice express human
Methods
Mice
Male Eμ-MYC
+/- mice on a C57BL/6 background were purchased from The Jackson Laboratory at eight weeks of age. Eμ-MYC mice express human
Chronic jetlag (CJL) conditions
At four weeks of age, mouse littermates were separated and randomly assigned to light-tight boxes set to either the control (continuous cycles of 12 hours of the light followed by 12 hours of dark, LD12:12) or chronic jetlag (eight-hour light phase advances every two to three days, CJL 5 , 6 , 9 – 11 ) lighting conditions ( Figure 1A). For the 12-week tumor burden endpoint study, male and female mice were housed in LD12:12 (n=19) or CJL (n=20) for eight weeks before euthanasia at zeitgeber time (ZT, hours after lights on) ZT9 on the day following the first synchronized 24-hour period (i.e., day two of week nine). To minimize potential confounders, dissections of the LD12:12 and CJL were alternated. For the survival study, male and female Eμ-MYC littermates were housed in LD12:12 (n=23) or CJL (n=23) and monitored weekly for signs of advanced disease. For all analyses, the experimental unit is a single animal. Animals found deceased were not assessed for total tumor weight. Sample size was determined by power analysis guided by the expected variability in outcomes using data from Ref. 21. Experimenters were aware of group allocation.
Figure 1.
Eight weeks of chronic jetlag does not impact tumor burden in Eμ-MYC mice.
(A) Schematic depicting the experimental lighting conditions of the Eμ-MYC mice. The white areas represent periods of lights on, and the black areas represent periods of lights off. Control lighting consists of a rotating 12-hour light phase and 12-hour dark phase (LD12:12) and the chronic jetlag lighting includes an eight-hour phase advance every two to three days (CJL). (B) Fraction of mice with tumors observed at the indicated lymph node (LN) in Eμ-MYC females (left, n=21) and males (right, n=18) housed LD12:12 or CJL lighting conditions for eight weeks. (C) Scatter plot with mean of total tumor weight in female and male Eμ-MYC mice after eight weeks in LD12:12 (black) or CJL (red) lighting conditions. There were no significant (ns, p>0.05) differences between groups by two-way ANOVA.
RNA extraction and quantitative real-time PCR
RNA was extracted from liver and spleen tissue that was flash frozen in liquid nitrogen at the time of sacrifice. One mL of Qiazol reagent (Qiagen cat # 799306) was used to isolate RNA from 50 mg of tissue. Tissue homogenization was achieved by bullet blender tissue homogenizer. 200 μl of chloroform was added to homogenized lysates which were transferred into a phase lock tube (VWR cat # 10847-802). Samples were centrifuged for 15 minutes at 13,000 rmp/4 °C. The aqueous phase was transferred to a new tube and 500 μl of isopropanol was used to precipitate RNA. Samples were centrifuged for 15 minutes at 13,000 rpm/4 °C to pellet RNA. Pellet was washed with 1 mL of 75% ethanol, dried, and diluted in 50 μl nuclease free water. Each sample yielded 2–5 μg/μl of RNA quantified by NanoDrop 2000 spectrophotometer (Thermo scientific cat # ND2000). cDNA was prepared using 1 μg of RNA and 4 μl of QScript cDNA Supermix (VWR cat # 101414-106). Thermocyling conditions were 25 °C for 5 minutes, 42 °C for 30 minutes, and 85 °C for 5 minutes and executed using C1000 Touch Thermal Cycler (Bio-Rad cat # 1851148). cDNA was diluted 1:40 with nuclease free water and 4 μl of diluted cDNA, 5 μl of with iQ SYBR Green Supermix (Bio-Rad cat # 1708885), and 0.5 μl of each forward and reverse primers (10 μM) was used per qPCR reaction. cDNA levels were measured by CFX96 Touch Real Time PCR Detection system (Bio-Rad cat # 1845096). Cycling conditions were, step 1: 95 °C for 3 minutes, step 2: 95 °C for 10 seconds, step 3: 55 °C for 10 seconds, step 4: 72 °C for 30 seconds, step 5: go to step 2 39x, step 6: 95°C for 10 seconds, step 7: melt curve 65–95 °C, increments 0.5 °C for 5 seconds + plate read. Amplification was measured and analyzed by
Bio-Rad CFX Manager 3.1. Starting quantity (SQ) as determined by the software was used for statistical analysis. Raw data available.
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The following primers were used to detect
Western blot analysis
Crushed liver and spleen tissues were lysed using RIPA buffer supplemented with protease (Thermo Scientific cat # A32953) and phosphatase (Sigma cat # P5266 and cat # P0044) inhibitors. Protein levels were normalized using the Pierce BCA Protein Assay Kit (Thermofisher cat # PI23225). Lysates were separated in an 8% agarose gel by electrophoresis (Bio-Rad cat # 1658001) and transferred using the Trans-blot Turbo transfer system (Bio-Rad cat # 17001915). Membranes were blocked in 5% milk in Tris-buffered saline supplemented with 1% Tween-20 (TBST) for one hour and washed 3X in TBST for 5 minutes before being placed in primary antibodies overnight at 4 °C. Antibodies were diluted 1:1000 for polyclonal antibody raised in rabbit against BMAL1 (Abcam cat # ab93806), polyclonal antibodies raised in guinea pigs against the C-termini of CRY1 (amino acids 583–606) or CRY2 (amino acids 563–592), 23 monoclonal antibody raised in rabbit against c-MYC (Abcam cat # ab32072); 1:2,000 for monoclonal antibody raised in mouse against REV-ERBα 24 ; 1:50,000 for monoclonal antibody raised in mouse against β-ACTIN (Sigma cat # A1978) in TBST supplemented with 3% bovine serum albumin (BSA). Membranes were washed 3X in TBST for 5 minutes before incubation in secondary antibody (Goat Anti-Mouse IgG (H + L)-HRP Conjugate (Bio-Rad cat # 1706516), Goat Anti-Rabbit IgG (H + L)-HRP Conjugate (Bio-Rad cat # 1706515), Goat Anti-Guinea Pig IgG-HRP Conjugate (Sigma cat # A7289)) diluted 1:5000 in TBST supplemented with 3% BSA for 1 hour at room temperature. Membranes were washed 3X in TBST for 5 minutes before imaging using SuperSignal West Pico PLUS Chemiluminescent Substrate (Fisher scientific cat # PI34095). Imaging and quantification were performed using the ChemiDoc XRS+ System (Bio-Rad cat # 1708265) and Image Lab software version 6.1.0 build 7. Proteins detected by immunoblotting were normalized to the housekeeping protein β-ACTIN. Brightness and contrast of blots were adjusted using PowerPoint version 2022. Any and all adjustments that were made were applied to the entire image. Raw data are available. 22
RNA sequencing and analysis
Total RNA was sent to the BGI Group (formerly Beijing Genomics Institute; Beijing, China) for library preparation and sequencing. Reads (paired-end 150 base pairs at a sequencing depth of 20 million reads per sample) were completed by DNBSEQ Eukaryotic Strand resequencing. FASTQ sequencing files were aligned to the GRCm38 Mus musculus reference genome using SeqMan NGen 17 software ( https://www.dnastar.com/manuals/installation-guide). Assemby results were analyzed and counts data were exported using ArrayStar 17 ( https://www.dnastar.com/manuals/installation-guide). Differential gene expression analysis (DESeq2) was performed using the online tool Gene Pattern ( https://www.genepattern.org) to generated normalized count data and identify differentially expressed genes. The complete RNA-seq data is deposited to [cite Mello figshare dataset as in Ref. 22].
Statistical analysis
Statistical analyses were performed using GraphPad Prism 8 software. The statistics for this research could be reproduced using open-source graphical program for statistical analysis JASP. Significance for total tumor weight from the tumor burden and survival cohorts were determined by two-way ANOVA; qPCR and Western blots were determined by t-test; Kaplan-meier survival curves were determined by Log-rank (Mantel-Cox) test. Significance threshold was set at 0.05 acceptable false positive (p<0.05).
Results
Eight weeks of chronic jetlag does not impact tumor burden in Eμ-MYC mice
Exposure to circadian disruption through altered lighting enhances tumor growth and reduces overall survival in c57BL6/J wildtype mice (due to increased spontaneous development of hepatocellular carcinoma) and in genetically engineered mouse models (GEMMs) of cancer. 5 – 13 We chose to use a chronic jetlag (CJL) protocol that has been used in several of these studies. 5 , 6 , 9 – 11 Throughout this study, CJL denotes a lighting schedule in which the lights are turned on eight hours earlier (i.e., the light phase is advanced by eight hours) every two to three days ( Figure 1A) to mimic circadian disruption experienced by rotating shift workers.
Eμ-MYC mice were housed in either CJL or control (12 hours of light followed by 12 hours of dark, LD12:12) lighting conditions at four weeks of age ( Figure 1A). Mice were maintained in CJL or LD12:12 lighting conditions for eight weeks before euthanasia at zeitgeber time (ZT, hours after lights on) ZT9 on the day following the first synchronized 24-hour period (i.e., day 2 of week 9). Four mice (one female from each lighting condition and two males housed in LD12:12) were excluded from the study because they died before the designated endpoint. CJL affected neither the tumor spectrum ( Figure 1B) nor overall tumor burden as revealed by the combined weight of all tumors dissected from each animal ( Figure 1C) in male or female Eμ-MYC mice. There was no difference in the gross appearance of lymphomas collected from mice housed in LD12:12 or CJL conditions (Supplementary Figure S1). We cannot exclude the possibility that a detailed analysis of lymphoma histolopathology would reveal a subtle difference between groups.
Long-term CJL impacts neither tumor burden nor survival of Eμ-MYC mice
At four weeks of age, female and male Eμ-MYC mice were placed in either LD12:12 or CJL lighting conditions. Mice were housed in these conditions until they exhibited signs of advanced disease (e.g., grossly visible tumors, rapid breathing), at which point mice were euthanized and total tumor weight was recorded. There was no significant difference in the overall survival ( Figure 2A) or the terminal tumor weight ( Figure 2B) of male or female Eμ-MYC mice exposed to CJL compared to those housed in control LD12:12 lighting conditions.
Figure 2.
Long term chronic jetlag does not impact tumor burden or survival of Eμ-MYC mice.
(A) Kaplan-Meier survival curves for female Eμ-MYC mice housed in LD12:12 (solid black, n=11) or in CJL (solid red, n=12) and male Eμ-MYC mice housed in LD12:12 (dashed black, n=12) or in CJL (dashed red, n=11). (B) Scatter plot with mean of total tumor weight at the time of euthanasia of female Eμ-MYC mice housed in LD12:12 (black, n=4) or in CJL (red, n=5) and male Eμ-MYC mice housed in LD12:12 (black, n=5) or in CJL (red, n=8). There were no significant (ns, p>0.05) differences between groups by logrank test (A) or by two-way ANOVA (B).
CJL disrupts circadian rhythms in peripheral tissues
We previously demonstrated that CJL disrupts locomotor activity rhythms in c57BL/6J mice and alters rhythmic gene expression patterns in peripheral tissues of both healthy and tumor-bearing mice.
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To examine the impact of CJL on peripheral clocks in the context of MYC-driven lymphoma, we euthanized Eμ-MYC mice at ZT9, when
Figure 3.
Chronic jetlag alters the clock in the peripheral tissues of Eμ-MYC mice.
(A–F) Detection of the indicated transcripts by qPCR (A,E) or unbiased sequencing of total RNA (D) and proteins by immunoblotting (B,C,F,G) in liver (A–D) or spleen (E–G) collected at ZT9 from Eμ-MYC mice housed in LD12:12 or CJL lighting conditions for eight weeks. Data in (A,E) represent the ratio of the indicated transcripts for each sample measured in triplicate. Data in (D) represent normalized counts for the indicated transcripts measured by sequencing total RNA isolated from Eμ-MYC mice housed in LD12:12 (n = 12) or CJL (n = 14). In (B,C,E,F), each lane represents an individual animal. *p<0.05, **p<0.01, ***p<0.001, or not significant (ns, p>0.05) by
To further probe the impact of CJL on gene expression in the livers of Eμ-MYC mice, we sequenced total RNA prepared from livers collected at ZT9 from male and female Eμ-MYC mice housed in LD12:12 or CJL. Consistent with measurements of gene expression in healthy c57BL6/J mice under the same conditions, exposure to CJL results in elevated expression of genes that are normally low at ZT9 (
In Eμ-MYC mice, human
CJL does not alter c-MYC in liver or spleen
We assessed the impact of CJL on c-MYC protein levels and expression of c-MYC transcriptional targets,
Figure 4.
Chronic jetlag has negligible impact on c-MYC in peripheral tissues of Eμ-MYC mice.
(A–F) Detection of the indicated proteins by immunoblotting (A, D) and transcripts by qPCR (B,C,E,F) in liver (A–C) or spleen (D–F) tissues collected at ZT9 from male Eμ-MYC mice housed in LD12:12 or CJL lighting conditions for eight weeks. Each lane in immunoblot represents an individual animal. n = 9 per group. Error bars indicate standard deviation. *p<0.05 or not significant (ns, p>0.05) by
Discussion
Epidemiological research supports the idea that disruption of circadian rhythms, such as that experienced by shift workers, increases the incidence of several types of cancer. 5 – 10 The evidence for such a connection is strongest for breast cancer, due at least in part to the volume of research performed in that area. A recent study found that the incidence of chronic lymphocytic leukemia is increased among those who have ever done night shift work, but rates of B cell lymphoma and other subtypes of lymphoma were indistinguishable between shift workers and the general population. 4 An earlier study reported increased risk of non-Hodgkin’s lymphoma in shift workers. 3 One limitation of epidemiological studies is the large variability in human lifestyles and genetics; thus, mouse models of cancer provide an alternative approach with reduced heterogeneity. Almost 20 years ago, human tumor xenografts were found to grow faster when transplanted into mice in which the suprachiasmatic nuclei were destroyed. 26 To better mimic chronic disruption of a functional circadian timing system experienced by shift workers, circadian biologists have widely adopted the use of altered lighting schedules, broadly referred to as chronic jetlag (CJL). 5 , 7 – 11 , 27 – 30 Several studies have demonstrated that various types of CJL increase the tumor burden in mouse models of cancer. 7 – 13 , 27
Further supporting the notion that circadian disruption broadly enhances tumorigenesis, genetic disruption of various circadian clock components enhances tumor burden in mouse models of cancer.
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However, a few contrary examples in which inactivation of
To understand the impact of environmental circadian disruption on tumorigenesis, it is essential to recognize how disruption of regular light exposures impacts malignancy in a variety of contexts. This study specifically assessed the impact of CJL on the Eμ-MYC mouse model of lymphoma, based on previous reports demonstrating that CRY2 facilitates the turnover of c-MYC and that homozygous deletion of
Our established protocol of CJL shifts the phase and dampens the expression of
While we measured disruption of molecular circadian rhythms in liver and spleen tissue collected from Eμ-MYC mice that were housed in CJL, the impact of CJL seems to be less severe in spleens. One limitation of this study is that we did not measure gene expression across the circadian cycle and thus cannot evaluate the full impact of CJL on gene expression in Eμ-MYC mice. However, we also observed a less severe impact of CJL on circadian gene expression in spleens of healthy mice than in their livers, using samples collected at four-hour intervals across the circadian cycle for each tissue. 11 The influence of circadian disruption in spleens of Eμ-MYC mice may be further subdued by the aggressiveness 20 or the intrinsic heterogeneity 47 , 48 of Eμ-MYC lymphoma. Eμ-MYC mice can develop tumors with biological similarities to Burkitt lymphoma or diffuse large B cell lymphoma that exhibit divergent activation of c-MYC. 48 This is consistent with our observations of variable levels of c-MYC protein in the liver ( Figure 4A) and spleen ( Figure 4D) of the Eμ-MYC mice independent of lighting condition. The heterogeneity in c-MYC levels was an unexpected confounding factor in this study and may mask any potential effects of CJL on MYC protein levels in this model. Alternatively, given that spleen is the site for B cell maturation, the apparently lower sensitivity of spleen to circadian disruption caused by CJL may contribute to the lack of impact on B cell lymphoma observed in this study.
Recent reports have suggested mechanisms that could contribute to enhanced tumorigenesis in response to chronic jet lag in other models. In KRAS-driven lung cancer, CJL led to enhanced activity of heat shock factor 1 (HSF1), 11 which has been shown to enhance tumorigenesis in a variety of cancers 49 but has not been studied in MYC-driven lymphoma. In a melanoma xenograft model, the time of cell implantation profoundly influenced tumor growth driven by circadian rhythms in immune infiltration of implanted tumors. The effect of implantation time was abolished by exposure to jet lag, suggesting that circadian disruption may enhance tumorigenesis by suppressing immune-oncology surveillance. 12 Either or both of these mechanisms may be less relevant in tumors that arise in hematopoietic cells, leading to reduced sensitivity of Eμ-MYC mice to the tumor-promoting effects of CJL in other models. Finally, while genetically engineered mouse models can be powerful tools for investigating cancer etiology in well-defined systems, their translation to human cancers have several limitations. Important in the context of altered light exposures, the majority of inbred mouse strains, including the c57BL6/J strain used here, do not produce the light-regulated hormone melatonin due to loss of the enzymes required for its biosynthesis. 50 Some studies have suggested that melatonin could have anti-tumorigenic properties. If altered melatonin production plays a key role in enhanced lymphoma formation in people exposed to circadian disruption, that could explain why we cannot measure any effect in Eμ-MYC mice on a c57BL6/J genetic background, while the incidence of lymphoma is affected by altered light exposures in people. 15 , 51
Conclusions
Our findings suggest that environmental circadian disruption similar to that experienced by shift workers does not influence MYC-driven lymphomagenesis in a c57BL/6J mouse model. Given the strong evidence that altered light exposures can impact lymphoid cancers in people, additional investigation is needed to identify the mechanistic underpinning for this phenomenon that is not present in the mouse model studied here.
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Abstract
Background: Disruption of natural light cycles, as experienced by shift workers, is linked to enhanced cancer incidence. Several mouse models of cancer develop more severe disease when exposed to irregular light/dark cycles, supporting the connection between circadian disruption and increased cancer risk. Cryptochrome 2 (CRY2), a repressive component of the molecular circadian clock, facilitates turnover of the oncoprotein c-MYC, one mechanism that may link the molecular clock to tumorigenesis. In Eμ-MYC mice, which express transgenic
Methods: We housed Eμ-MYC mice in light-tight boxes set to either control (continuous cycles of 12-hours of light followed by 12-hours of dark, LD12:12) or chronic jetlag (eight-hour light phase advances every two to three days, CJL) lighting conditions and assessed the impact of disrupted light cycles on survival and tumor formation in Eμ-MYC mice.
Results: Environmental disruption of circadian rhythms did not alter tumor location, tumor growth, or survival in Eμ-MYC mice.
Conclusions: Dampened rhythms of
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer