Dysregulation of Circadian Clock Genes as Significant Clinic Factor in the Tumorigenesis of Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the leading cause of cancer-related mortality worldwide due to its asymptomatic onset and poor survival rate. This highlights the urgent need for developing novel diagnostic markers for early HCC detection. The circadian clock is important for maintaining cellular homeostasis and is tightly associated with key tumorigenesis-associated molecular events, suggesting the so-called chronotherapy. An analysis of these core circadian genes may lead to the discovery of biological markers signaling the onset of the disease. In this study, the possible functions of 13 core circadian clock genes (CCGs) in HCC were systematically analyzed with the aim of identifying ideal biomarkers and therapeutic targets. Profiles of HCC patients with clinical and gene expression data were downloaded from The Cancer Genome Atlas and International Cancer Genome Consortium. Various bioinformatics methods were used to investigate the roles of circadian clock genes in HCC tumorigenesis. We found that patients with high TIMELESS expression or low CRY2, PER1, and RORA expressions have poor survival. Besides, a prediction model consisting of these four CCGs, the tumor-node-metastasis (TNM) stage, and sex was constructed, demonstrating higher predictive accuracy than the traditional TNM-based model. In addition, pathway analysis showed that these four CCGs are involved in the cell cycle, PI3K/AKT pathway, and fatty acid metabolism. Furthermore, the network of these four CCGs-related coexpressed genes and immune infiltration was analyzed, which revealed the close association with B cells and nTreg cells. Notably, TIMELESS exhibited contrasting effects against CRY2, PER1, and RORA in most situations. In sum, our works revealed that these circadian clock genes TIMELESS, CRY2, PER1, and RORA can serve as potential diagnostic and prognostic biomarkers, as well as therapeutic targets, for HCC patients, which may promote HCC chronotherapy by rhythmically regulating drug sensitivity and key cellular signaling pathways.

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Genomics and Prognosis Analysis of Circadian clock genes in Hepatocellular Carcinoma

10.21203/rs.3.rs-35099/v1 ◽

2020 ◽

Author(s):

Qikuan He ◽

Pengyi Guo ◽

Yunshou Lin ◽

Zhongjing Zhang ◽

Yanning Lv ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Circadian Clock ◽

Risk Score ◽

Clock Genes ◽

Cancer Genome ◽

The Cancer Genome Atlas ◽

Normal Tissues ◽

Circadian Clock Genes ◽

Cancer Genome Atlas ◽

Genome Consortium

Abstract Background: Circadian clock genes have been reported to exhibit a regulatory effect on the carcinogenesis and progression of numerous cancers. Nevertheless, the specific relationship between hepatocellular carcinoma (HCC) and circadian rhythm associated genes still remain to be clarified. Therefore, we evaluate the prognosis function of circadian clock genes in HCC with the online datasets of The Cancer Genome Atlas (TCGA) and the international cancer genome consortium (ICGC). Methods: In our research, the RNA-seq of the selected core circadian genes in HCC patients and their relevant clinical data were acquired from the online TCGA database and the ICGC database. R software and cBioPortal website were performed. Results: As consequence, among the 22 typical circadian clock genes, 16 genes were statistically expressed between HCC and adjacent normal tissues. Accordingly, 11 clock genes with regression coefficients were used to constitute a new risk score formula, which was related to the prognosis in HCC. Moreover, the new nomogram, which consisting risk score and several clinical traits , could be applied for the purpose of accurate prediction of the OS time for the patients. Finally, we identified a novel nomogram related with OS in HCC patients with a comprehensive analysis of circadian clock genes and other clinical characteristics profiles. It was also the first time we systematically demonstrated the relationship between clock genes and the HCC prognosis, which would contribute to the treatment of HCC. Conclusions: The current study demonstrated the potential of circadian clock genes as clinically associated biomarkers for prognosis prediction in HCC, which may make a significant contribution to the further investigations of HCC progression.

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Circadian clock genes as promising therapeutic targets for autoimmune diseases

Autoimmunity Reviews ◽

10.1016/j.autrev.2021.102866 ◽

2021 ◽

pp. 102866

Author(s):

Kun Xiang ◽

Zhiwei Xu ◽

Yu-Qian Hu ◽

Yi-Sheng He ◽

Guo-Cui Wu ◽

...

Keyword(s):

Autoimmune Diseases ◽

Circadian Clock ◽

Clock Genes ◽

Therapeutic Targets ◽

Circadian Clock Genes

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Mechanistic Modeling of Gene Regulation and Metabolism Identifies Potential Targets for Hepatocellular Carcinoma

Frontiers in Genetics ◽

10.3389/fgene.2020.595242 ◽

2020 ◽

Vol 11 ◽

Author(s):

Renliang Sun ◽

Yizhou Xu ◽

Hang Zhang ◽

Qiangzhen Yang ◽

Ke Wang ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Regulatory Networks ◽

Target Genes ◽

Therapeutic Targets ◽

Normal Liver ◽

Metabolic Model ◽

Cancer Genome ◽

Mechanistic Modeling ◽

The Cancer Genome Atlas ◽

Transcriptional Regulatory

Hepatocellular carcinoma (HCC) is the predominant form of liver cancer and has long been among the top three cancers that cause the most deaths worldwide. Therapeutic options for HCC are limited due to the pronounced tumor heterogeneity. Thus, there is a critical need to study HCC from a systems point of view to discover effective therapeutic targets, such as through the systematic study of disease perturbation in both regulation and metabolism using a unified model. Such integration makes sense for cancers as it links one of the dominant physiological features of cancers (growth, which is driven by metabolic networks) with the primary available omics data source, transcriptomics (which is systematically integrated with metabolism through the regulatory-metabolic network model). Here, we developed an integrated transcriptional regulatory-metabolic model for HCC molecular stratification and the prediction of potential therapeutic targets. To predict transcription factors (TFs) and target genes affecting tumorigenesis, we used two algorithms to reconstruct the genome-scale transcriptional regulatory networks for HCC and normal liver tissue. which were then integrated with corresponding constraint-based metabolic models. Five key TFs affecting cancer cell growth were identified. They included the regulator CREB3L3, which has been associated with poor prognosis. Comprehensive personalized metabolic analysis based on models generated from data of liver HCC in The Cancer Genome Atlas revealed 18 genes essential for tumorigenesis in all three subtypes of patients stratified based on the non-negative matrix factorization method and two other genes (ACADSB and CMPK1) that have been strongly correlated with lower overall survival subtype. Among these 20 genes, 11 are targeted by approved drugs for cancers or cancer-related diseases, and six other genes have corresponding drugs being evaluated experimentally or investigationally. The remaining three genes represent potential targets. We also validated the stratification and prognosis results by an independent dataset of HCC cohort samples (LIRI-JP) from the International Cancer Genome Consortium database. In addition, microRNAs targeting key TFs and genes were also involved in established cancer-related pathways. Taken together, the multi-scale regulatory-metabolic model provided a new approach to assess key mechanisms of HCC cell proliferation in the context of systems and suggested potential targets.

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Association of Circadian Clock Gene Expression with Glioma Tumor Microenvironment and Patient Survival

Cancers ◽

10.3390/cancers13112756 ◽

2021 ◽

Vol 13 (11) ◽

pp. 2756

Author(s):

Julianie De La Cruz Minyety ◽

Dorela D. Shuboni-Mulligan ◽

Nicole Briceno ◽

Demarrius Young ◽

Mark R. Gilbert ◽

...

Keyword(s):

Gene Expression ◽

Circadian Clock ◽

Clock Gene ◽

Clock Genes ◽

The Cancer Genome Atlas ◽

Lower Grade ◽

Circadian Clock Gene ◽

Clock Gene Expression ◽

Mutational Status ◽

Circadian Clock Genes

Circadian clock genes have been linked to clinical outcomes in cancer, including gliomas. However, these studies have not accounted for established markers that predict the prognosis, including mutations in Isocitrate Dehydrogenase (IDH), which characterize the majority of lower-grade gliomas and secondary high-grade gliomas. To demonstrate the connection between circadian clock genes and glioma outcomes while accounting for the IDH mutational status, we analyzed multiple publicly available gene expression datasets. The unsupervised clustering of 13 clock gene transcriptomic signatures from The Cancer Genome Atlas showed distinct molecular subtypes representing different disease states and showed the differential prognosis of these groups by a Kaplan–Meier analysis. Further analyses of these groups showed that a low period (PER) gene expression was associated with the negative prognosis and enrichment of the immune signaling pathways. These findings prompted the exploration of the relationship between the microenvironment and clock genes in additional datasets. Circadian clock gene expression was found to be differentially expressed across the anatomical tumor location and cell type. Thus, the circadian clock expression is a potential predictive biomarker in glioma, and further mechanistic studies to elucidate the connections between the circadian clock and microenvironment are warranted.

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TAMI-44. ASSOCIATION OF CIRCADIAN CLOCK GENE EXPRESSION WITH GLIOMA TUMOR MICROENVIRONMENT AND PATIENT SURVIVAL

Neuro-Oncology ◽

10.1093/neuonc/noab196.827 ◽

2021 ◽

Vol 23 (Supplement_6) ◽

pp. vi207-vi207

Author(s):

Julianie De La Cruz Minyety ◽

Dorela Shuboni-Mulligan ◽

Nicole Briceno ◽

Demarrius Young Jr. ◽

Mark Gilbert ◽

...

Keyword(s):

Gene Expression ◽

Circadian Clock ◽

Clock Gene ◽

Clock Genes ◽

Cell Types ◽

The Cancer Genome Atlas ◽

Wild Type ◽

Clock Gene Expression ◽

Mutational Status ◽

Circadian Clock Genes

Abstract Circadian clock genes have been linked to differences in clinical outcomes in cancer, including gliomas. However, these studies have not accounted for established prognostic markers, including mutations in Isocitrate Dehydrogenase (IDH). To study the connection between circadian clock genes and glioma outcomes while accounting for IDH mutational status, we analyzed multiple publicly available gene expression datasets. Unsupervised clustering of 13 clock gene transcriptomic signatures from The Cancer Genome Atlas resulted in four distinct transcriptomic clusters, two clusters were enriched for IDH mutant (Circadian 1-2) and the others for IDH wild-type gliomas (Circadian 3-4). Within these clusters we observed differential prognosis of the patients by Kaplan–Meier analysis (Circadian 1-2, p=0.0001; Circadian 3-4, p=0.0002) suggesting that these transcriptomic circadian subtypes might reflect different disease states. Further analyses using Cox Proportional Hazards Regression showed that lower Period (PER) gene expression was associated with worse prognosis (increasing PER expression HR=0.655, p=0.007) independent of IDH wild-type status (HR=5.312, p< 0.001) and increasing age (HR = 1.04, p< 0.001). Lower PER expression was associated with enrichment of a number of immune signaling pathways. These findings prompted the exploration of the relationship between microenvironment and clock genes using the Ivy GAP dataset to explore tumor location-specific differences and single cell RNA sequencing data from Darmanis (accession: GSE84465) to explore cell-specific differences. Circadian clock genes were found to be differentially expressed across anatomical tumor locations and cell types, including microglia. In ongoing studies we are examining the role of the microenvironment and PER2 expression on tumor growth by disrupting PER2 expression in tumor cells and microglia using IDH mutant and wild-type in vitro models. Clock gene expression is a potential prognostic biomarker in glioma and further studies to elucidate the importance of circadian rhythms in other cell types beyond the tumor are warranted.

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Circadian Clock Genes and the Transcriptional Architecture of the Clock Mechanism

Endocrine Abstracts ◽

10.1530/endoabs.59.pl4 ◽

2018 ◽

Cited By ~ 1

Author(s):

Joseph Takahashi

Keyword(s):

Circadian Clock ◽

Clock Genes ◽

Circadian Clock Genes ◽

Clock Mechanism

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Transcriptomal dissection of soybean circadian rhythmicity in two geographically, phenotypically and genetically distinct cultivars

BMC Genomics ◽

10.1186/s12864-021-07869-8 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Yanlei Yue ◽

Ze Jiang ◽

Enoch Sapey ◽

Tingting Wu ◽

Shi Sun ◽

...

Keyword(s):

Gene Expression ◽

Circadian Clock ◽

Chromosome Structure ◽

Clock Genes ◽

Expression Profiles ◽

Circadian Rhythmicity ◽

Rna Seq ◽

Night Time ◽

Time Points ◽

Circadian Clock Genes

Abstract Background In soybean, some circadian clock genes have been identified as loci for maturity traits. However, the effects of these genes on soybean circadian rhythmicity and their impacts on maturity are unclear. Results We used two geographically, phenotypically and genetically distinct cultivars, conventional juvenile Zhonghuang 24 (with functional J/GmELF3a, a homolog of the circadian clock indispensable component EARLY FLOWERING 3) and long juvenile Huaxia 3 (with dysfunctional j/Gmelf3a) to dissect the soybean circadian clock with time-series transcriptomal RNA-Seq analysis of unifoliate leaves on a day scale. The results showed that several known circadian clock components, including RVE1, GI, LUX and TOC1, phase differently in soybean than in Arabidopsis, demonstrating that the soybean circadian clock is obviously different from the canonical model in Arabidopsis. In contrast to the observation that ELF3 dysfunction results in clock arrhythmia in Arabidopsis, the circadian clock is conserved in soybean regardless of the functional status of J/GmELF3a. Soybean exhibits a circadian rhythmicity in both gene expression and alternative splicing. Genes can be grouped into six clusters, C1-C6, with different expression profiles. Many more genes are grouped into the night clusters (C4-C6) than in the day cluster (C2), showing that night is essential for gene expression and regulation. Moreover, soybean chromosomes are activated with a circadian rhythmicity, indicating that high-order chromosome structure might impact circadian rhythmicity. Interestingly, night time points were clustered in one group, while day time points were separated into two groups, morning and afternoon, demonstrating that morning and afternoon are representative of different environments for soybean growth and development. However, no genes were consistently differentially expressed over different time-points, indicating that it is necessary to perform a circadian rhythmicity analysis to more thoroughly dissect the function of a gene. Moreover, the analysis of the circadian rhythmicity of the GmFT family showed that GmELF3a might phase- and amplitude-modulate the GmFT family to regulate the juvenility and maturity traits of soybean. Conclusions These results and the resultant RNA-seq data should be helpful in understanding the soybean circadian clock and elucidating the connection between the circadian clock and soybean maturity.

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