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<article article-type="review-article" dtd-version="2.3" xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">741295</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2021.741295</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>New Insights Into Cancer Chronotherapies</article-title>
<alt-title alt-title-type="left-running-head">Zhou et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Cancer Chronotherapies</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Jingxuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jiechen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1407501/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Xiaozhao</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1401702/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tang</surname>
<given-names>Qingming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1270803/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<label>
<sup>5</sup>
</label>Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/172873/overview">Benyi Li</ext-link>, University of Kansas Medical Center, United&#x20;States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/864032/overview">Jiajia Zhao</ext-link>, Huazhong University of Science and Technology, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1449848/overview">Arjun Singh</ext-link>, Memorial Sloan Kettering Cancer Center, United&#x20;States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/823688/overview">Qi Ma</ext-link>, Ningbo First Hospital, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Qingming Tang, <email>hust_tang@hust.edu.cn</email>; Xiaozhao Zhang, <email>zxz5360_1988@163.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this&#x20;work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Pharmacology of Anti-Cancer Drugs, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>741295</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Zhou, Wang, Zhang and Tang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Zhou, Wang, Zhang and Tang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Circadian clocks participate in the coordination of various metabolic and biological activities to maintain homeostasis. Disturbances in the circadian rhythm and cancers are closely related. Circadian clock genes are differentially expressed in many tumors, and accelerate the development and progression of tumors. In addition, tumor tissues exert varying biological activities compared to normal tissues due to resetting of altered rhythms. Thus, chronotherapeutics used for cancer treatment should exploit the timing of circadian rhythms to achieve higher efficacy and mild toxicity. Due to interpatient differences in circadian functions, our findings advocate an individualized precision approach to chronotherapy. Herein, we review the specific association between circadian clocks and cancers. In addition, we focus on chronotherapies in cancers and personalized biomarkers for the development of precision chronotherapy. The understanding of circadian clocks in cancer will provide a rationale for more effective clinical treatment of tumors.</p>
</abstract>
<kwd-group>
<kwd>circadian clocks</kwd>
<kwd>circadian rhythms</kwd>
<kwd>cancers</kwd>
<kwd>chronotherapies</kwd>
<kwd>personalized chronotherapies 3</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Circadian clocks exist in biological organisms and serve as a method to adapt to natural environmental changes. Circadian clocks consist of the suprachiasmatic nucleus (SCN) and peripheral clocks. When variations in environmental light or other stimuli occur based on the laws of nature, the SCN recognizes these changes and inputs signals to specific pathways so that subordinate clocks receive the correct messages to make the corresponding adjustments to the 24-h cycle (<xref ref-type="bibr" rid="B88">Shafi and Knudsen, 2019</xref>; <xref ref-type="bibr" rid="B45">Kinouchi and Sassone-Corsi, 2020</xref>). Studies over the last decade have shown that circadian clocks regulate various physiological activities and are essential to our health. At the complex multicellular and molecular level, circadian clocks participate in the evolutionary machinery that stipulates the temporal adjustment of physiology to maintain homeostasis through the establishment of circadian rhythms. Any disruption gives rise to many chronic diseases, such as metabolic disorders and malignant tumors.</p>
<p>Evidence has shown there is a strong interaction between tumors and circadian clocks. The clock genes, which generate oscillatory signals transmitted to the molecular clocks, are altered in different cancers. Further, clock genes whose expression is dysregulated may act as driving factors in carcinogenesis and cancer progression. Our research group demonstrated that brain and muscle aryl hydrocarbon receptor nuclear translocator1 (BMAL expression presents rhythmic oscillation and is closely associated with the development of oral squamous cell carcinoma (OSCC). A genetically engineered mouse lung tumor model was used to demonstrate that disruption of circadian rhythms could promote lung tumor growth and decrease survival (<xref ref-type="bibr" rid="B80">Papagiannakopoulos et&#x20;al., 2016</xref>). Oncogenic processes weaken or disrupt circadian rhythms (<xref ref-type="bibr" rid="B37">Huang et&#x20;al., 2011</xref>). In addition, tumor tissues reset their circadian rhythms compared with normal tissues. Thus, chronotherapies could improve efficacy and alleviate biotoxicity in tumor treatments if differences in circadian rhythms are considered during drug administration.</p>
<p>Generally, chronotherapies depend on the circadian timing system (CTS) that controls circadian rhythms involving metabolism and biological activities (<xref ref-type="bibr" rid="B10">Cederroth et&#x20;al., 2019</xref>). Accumulating evidence has shown that providing rhythmic treatments can not only avoid some of the side effects associated with cancer therapy but this approach can also improve prognosis, for example, administering a drug at a specific time can reduce changes in its metabolism and in patient fatigue (<xref ref-type="bibr" rid="B75">Ozturk et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B91">Shuboni-Mulligan et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B99">Sulli et&#x20;al., 2019</xref>). However, some dosage regimens for traditional treatments are not aligned to the individual characteristics of cancer patients due to differences in circadian rhythms between normal and tumor tissues. Precise and optimal timing is required to exploit personalized chronotherapeutic delivery for each individual (<xref ref-type="bibr" rid="B75">Ozturk et&#x20;al., 2017</xref>). Thus, potential molecular targets or biomarkers have been investigated to determine real-time dosing regimens. One such marker investigated by our group is <italic>BMAL1</italic>, which presents stable rhythmic oscillations and is considered a target for treatment with relevant anticancer drugs at a specific timepoint. How to identify personalized indicators that can be applied to chronotherapies has become a crucial question.</p>
<p>This review summarizes the expression patterns of clock genes in tumors and describes studies in which the biological activities of cancer rhythms are closely associated with circadian clocks and tumors. We also focus on the mechanisms and specific treatments using the chronotherapy approach in existing studies and applications. In addition, personalized biomarkers with constant rhythms such as <italic>BMAL1</italic> and temperature are of great concern. Based on these characteristics, we can provide an optimized treatment plan for individual cancer patients with improved efficacy.</p>
</sec>
<sec id="s2">
<title>The Correlation Between the Circadian Clock and Tumor Biology</title>
<sec id="s2-1">
<title>Expression Patterns of Clock Genes are Variable in Tumors</title>
<p>At the molecular level, in the <italic>BMAL1</italic> and circadian locomotor output cycles kaput (<italic>CLOCK</italic>) act as transcription factors. They include two essential helix-loop-helix domains and bind E-box elements (CACGTG) in the Period (<italic>PER</italic>) and Cryptochrome (<italic>CRY</italic>) genes, which positively influence circadian transcription. <italic>CRY</italic> and <italic>PER</italic> form heterodimers that ineract with casein kinase I&#x3b5; (CKI&#x3b5;). Both genes translocate into the nucleus to negatively mediate <italic>BMAL1/CLOCK</italic>-driven transcription (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>) (<xref ref-type="bibr" rid="B89">Shearman et&#x20;al., 2000</xref>). The alternations of clock gene expressions are closely connected with the occurrence and development of cancers. For brain tumors, the expression of <italic>CLOCK</italic> in high-grade glioma cells increases significantly compared with low-grade gliomas and non-gliomas, likely due to a decrease in miR-124 expression, which regulates RNA expression (<xref ref-type="bibr" rid="B12">Chen et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B55">Li A. et&#x20;al., 2013</xref>). In one study, the expression of <italic>PER2</italic> and <italic>BMLA1</italic> significantly decreased in OSCC tumors as evaluated by reverse transcription-quantitative PCR (RT-qPCR) and immunohistochemistry (<xref ref-type="bibr" rid="B114">Xiong et&#x20;al., 2018</xref>). The same was observed in head and neck squamous cell carcinoma (HNSCC) and in nasopharyngeal carcinoma (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B35">Hsu et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B81">Rahman et&#x20;al., 2019</xref>). <italic>CLOCK</italic>, <italic>PER1</italic>, as well as <italic>CRY</italic> levels, are also reduced in HNSCC. Compared to normal skin, patients with skin cutaneous melanoma (SKCM) present significant down-regulation in the expression of <italic>BMAL1</italic>, <italic>CRY1</italic>, <italic>CRY2</italic>, <italic>PER1</italic>, <italic>PER2,</italic> and <italic>PER3</italic>, and higher expression of <italic>CLOCK</italic> (<xref ref-type="bibr" rid="B14">de Assis et&#x20;al., 2018</xref>), a similar pattern was also observed in patients with colon adenocarcinoma (COAD) (<xref ref-type="bibr" rid="B20">Fuhr et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B49">Krugluger et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B71">Neilsen et&#x20;al., 2019</xref>). <italic>BMAL1</italic> and <italic>PER3</italic> levels increase, and <italic>CLOCK</italic> and <italic>CRY2</italic> levels decrease in tissue samples obtained from follicular thyroid cancer (FTC) and papillary thyroid cancer (PTC) nodule tissues compared to benign tissues (<xref ref-type="bibr" rid="B66">Malaguarnera et&#x20;al., 2020</xref>). In thymoma, only the level of <italic>PER1</italic> decreases, while the expression of other clock genes all increase. In endometrial endometrioid carcinoma, <italic>PER2</italic> is up-regulated nearly 15-fold in isolated esophageal tumors (Eca) with metastasis (<xref ref-type="bibr" rid="B57">Li et&#x20;al., 2016</xref>). The expression of <italic>CLOCK</italic> is markedly increased in breast cancer, as increased expression of differentiated embryonic chondrogenic gene 1 (<italic>DEC1)</italic> has been associated with increased expression of estrogen receptor &#x3b1; (ER&#x3b1;), which binds to the <italic>CLOCK</italic> promotor to regulate its transcription (<xref ref-type="bibr" rid="B116">Xue et&#x20;al., 2020</xref>), while <italic>BMAL1</italic>, <italic>PER,</italic> and <italic>CLOCK</italic> levels reduce. In previous studies, DEC1&#x20;over-expression in esophageal cancer, OSCC, and pancreatic ductal carcinoma also showed an associated increase in the expression of MIC-1, a p53-activated apoptosis factor. DEC1 interferes with cell apoptosis, and cancer cells become immortalized (<xref ref-type="bibr" rid="B113">Wu et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B115">Xu et&#x20;al., 2012</xref>). However, in esophageal tumors, <italic>CLOCK</italic>, <italic>PER1</italic>, <italic>PER2</italic>, <italic>PER3</italic>, <italic>CRY1</italic> as well as <italic>CRY2</italic> levels are down-regulated and their downstream proteins accordingly become disordered (<xref ref-type="bibr" rid="B105">van der Watt et&#x20;al., 2020</xref>). As for lung cancer cells, the primary circadian gene <italic>CLOCK</italic> is up-regulated in CD133&#x2b; cells, and this can also be observed in A549 and H1299 cells (<xref ref-type="bibr" rid="B40">Jiang et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B121">Yoshida et&#x20;al., 2013</xref>). A comparative analysis revealed that <italic>PER1</italic> levels were nearly 30% those of normal tissues, <italic>PER2</italic> was 70%, <italic>CRY1</italic> was 66%, <italic>CRY2</italic> was 30%, and <italic>BMAL1</italic> was 80% in non-small cell lung cancer (<xref ref-type="bibr" rid="B11">Chen et&#x20;al., 2020</xref>). The down-regulated expression of <italic>PER2</italic> is attributed to the decrease in Kmt2d expression, a Histone methyltransferase that is suppressed in lung cancer cells (<xref ref-type="bibr" rid="B2">Alam et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B122">Yu et&#x20;al., 2018</xref>). The expression of <italic>PER1</italic>, <italic>PER2,</italic> and <italic>CRY2</italic> decrease in human fibrosarcoma and in undifferentiated pleomorphic sarcoma (<xref ref-type="bibr" rid="B83">Rivera-Reyes et&#x20;al., 2018</xref>).The expression of <italic>BMAL1</italic> and <italic>CLOCK</italic> are reduced in ovarian cancer due to the methylation of CpG sites on gene promoter regions (<xref ref-type="bibr" rid="B29">Guti&#xe9;rrez-Monreal et&#x20;al., 2016</xref>). Further, the expression of <italic>PER2</italic> is reduced in ovarian cancer via inhibition of the PI3K (phosphatidylinositol 3-kinase) signaling pathway (<xref ref-type="bibr" rid="B110">Wang et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B120">Yeh et&#x20;al., 2014</xref>). The altered expressions in ovarian cancer agree with adrenocortical carcinoma (ACC), cervical and endocervical cancer (CESC), uterine corpus endometrium carcinoma (UCEC), uterine carcinosarcoma (UCS), testicular germ cell tumors (TGCT), chronic myeloid leukemia (CML), liver hepatocellular carcinoma (LIHC), and prostate adenocarcinoma (PRAD) (<xref ref-type="bibr" rid="B3">Angelousi et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B9">Cao et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B63">Lin et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B117">Yang et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B118">Yang et&#x20;al., 2009</xref>). The circadian genes show up-regulated expression in pancreatic cancer, except for <italic>BMAL1</italic> (<xref ref-type="bibr" rid="B61">Li et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B82">Relles et&#x20;al., 2013</xref>). In contrast, the levels of common clock genes are decreased except for <italic>PER3</italic> and <italic>CYR2</italic> in cholangiocarcinoma. In kidney renal clear cell carcinoma (KIRC), the levels of <italic>BMAL1</italic>, <italic>(Human) Recombinant Protein (P01) (NR1D1)</italic>, <italic>PER1</italic>, and <italic>PER2</italic> are up-regulated, while <italic>CLOCK</italic> and <italic>CRY expression</italic> is down-regulated (<xref ref-type="bibr" rid="B64">Litlekalsoy et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B128">Zhou et&#x20;al., 2020</xref>). The up-regulation of <italic>BMAL1</italic>, <italic>CLOCK</italic>, and <italic>PER</italic> in gastric cancer and the up-regulation of <italic>CRY1</italic> in more advanced stage gastric cancer but not in the earlier stage has also been reported (<xref ref-type="bibr" rid="B36">Hu et&#x20;al., 2014</xref>). In addition, in rectum adenocarcinoma (READ), <italic>BMAL1</italic>, <italic>PER1</italic>, <italic>PER3</italic>, and <italic>CRY</italic> levels decrease while <italic>CLOCK</italic> and <italic>PER2</italic> levels increase (<xref ref-type="bibr" rid="B65">Lu et&#x20;al., 2015</xref>). In acute myeloid leukemia (AML), <italic>PER2</italic>, <italic>PER3</italic>, and <italic>CRY</italic> levels are reduced due to reduced expression of CCAAT/enhancer-binding proteins (C/EBPs), while <italic>BMAL1</italic>, <italic>CLOCK</italic>, and <italic>PER1</italic> levels increase(<xref ref-type="bibr" rid="B23">Gery et&#x20;al., 2005</xref>). In lymphoid neoplasms, diffuse large B-cell lymphoma (DLBC), <italic>BMAL1</italic>, <italic>PER1</italic>, and <italic>PER2</italic> levels are down-regulated, while <italic>CLOCK</italic>, <italic>PER3</italic>, and <italic>CRY</italic> levels show the opposite pattern (<xref ref-type="table" rid="T1">Table&#x20;1</xref>). Altogether, results demonstrate that the expression of clock genes varies in different types of tumor cells, and the disruption of clock rhythms is related to the occurrence and development of cancers (<xref ref-type="bibr" rid="B28">Gu et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B106">Verlande and Masri, 2019</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Core clock gene organization in circadian clocks. <italic>BMAL1</italic> and <italic>CLOCK</italic> are transcription factors that contain two helix-loop-helix domains and bind E-box elements in the <italic>PER</italic>, <italic>CRY</italic>, <italic>REV-ERB&#x3b1;</italic>, and <italic>ROR&#x3b1;</italic> genes, influencing positively on circadian transcription. <italic>PER</italic> and <italic>CRY</italic> form heterodimers, interacting with casein kinase I&#x3b5; (CKI&#x3b5;) and translating into the nucleus. These two genes negatively mediate <italic>BMAL1/CLOCK</italic>-driven transcription. <italic>ROR&#x3b1;</italic> and <italic>REV-ERB&#x3b1;</italic> activate and repress the transcription of <italic>BMAL1</italic> through their competitive action on response elements (ROREs) on the <italic>BMAL1</italic> promoter.</p>
</caption>
<graphic xlink:href="fphar-12-741295-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Variational expression of circadian clock genes in different types of cancers.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Cancer types</th>
<th align="center">Clock genes</th>
<th align="center">Variation</th>
<th align="center">Mechanisms</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="5" align="left">LGG</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td rowspan="5" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CRY2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="7" align="left">GBM</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">miR-124 modulates NF-&#x43a;B</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B55">Li et&#x20;al., 2013a</xref>; <xref ref-type="bibr" rid="B12">Chen et&#x20;al., 2013</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CRY2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="7" align="left">PCPG</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td rowspan="7" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CRY2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="5" align="left">HNSC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Controversial</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Possibly connected with PI3K/AKT pathway</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Controversial</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CRY2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="2" align="left">OSCC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">cyclin &#x3b2;1/PI3K/AKT</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B114">Xiong et&#x20;al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">p53/MMP-2</td>
</tr>
<tr>
<td align="left">NPC</td>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">ERK/p38MAPK pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B34">Hou et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td rowspan="4" align="left">ACC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Steroid hormones</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="6" align="left">THCA</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Up-regulated</td>
<td rowspan="6" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CYR</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="6" align="left">THYM</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Up-regulated</td>
<td rowspan="6" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="8" align="left">ESCA</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td rowspan="2" align="left">
<italic>PER2</italic>
</td>
<td rowspan="2" align="left">Controversial</td>
<td rowspan="2" align="left">Repress E-cadherin and enhance pHDAC1</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B34">Hou et&#x20;al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CRY2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">BRCA</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">ER&#x3b1; and Her2</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Controversial</td>
<td align="left">DEC1 increase ER&#x3b1;</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="6" align="left">LUAC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Wnt/&#x3b2;-catenin pathway</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">EGCG</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Controversial</td>
<td align="left">Kmt2d</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="6" align="left">LUSC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td rowspan="6" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="7" align="left">SARC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Controversial</td>
<td align="left">YAP1/NF-&#x3ba;B</td>
<td align="left">(ENSG00000179094.13) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">YAP1/NF-&#x3ba;B</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CYR2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">YAP1/NF-&#x3ba;B</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">OV</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">PI3K signaling pathway</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">methylation of CpG promoters</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">CESC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">
<italic>TIMELESS</italic>
</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">UCEC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td rowspan="4" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">UCS</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td rowspan="4" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">LIHC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">methylation of CpG</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="6" align="left">PAAD</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Controversial</td>
<td align="left">Androgen receptor</td>
<td align="left">(ENSG00000179094.13) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Androgen receptor</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Androgen receptor</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="7" align="left">CHOL</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Up-regulated</td>
<td rowspan="7" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CRY2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="7" align="left">KICH</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">
<italic>SERPINE1</italic>
</td>
<td align="left">GEPIA (ENSG00000133794.17) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">
<italic>SERPINE1</italic>
</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">
<italic>TIMELESS/TIPIN</italic>
</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CRY2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">KIRC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Up-regulated</td>
<td rowspan="4" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="6" align="left">KIRP</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Up-regulated</td>
<td rowspan="6" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">TGCT</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td rowspan="4" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">PRAD</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Change in epigenome</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Similar</td>
<td align="left">Change in epigenome</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="5" align="left">BLCA</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">EGFR and p16</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Controversial</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CRY2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="7" align="left">STAD</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td rowspan="7" align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000008405.11)</td>
</tr>
<tr>
<td align="left">
<italic>CRY2</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">COAD</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">DPD</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">DPD</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="6" align="left">READ</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">P53</td>
<td align="left">(ENSG00000179094.13) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">SKCM</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td rowspan="4" align="left">Lack of studies</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="6" align="left">AML</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">&#x3b2;-catenin</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">C/EBPs</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Controversial</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="4" align="left">CML</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">GEPIA (ENSG00000133794.17)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">methylation of the <italic>hPER3</italic> promoter</td>
<td align="left">(ENSG00000134852.14) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>PER</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">methylation of the <italic>hPER3</italic> promoter</td>
<td align="left">(ENSG00000179094.13/ENSG00000132326.11/ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
<tr>
<td rowspan="6" align="left">DLBC</td>
<td align="left">
<italic>BMAL1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">C/EBPs</td>
<td align="left">GEPIA (ENSG00000133794.17) (<xref ref-type="bibr" rid="B34">Hou et&#x20;al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">
<italic>CLOCK</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000134852.14)</td>
</tr>
<tr>
<td align="left">
<italic>PER1</italic>
</td>
<td align="left">Down-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000179094.13)</td>
</tr>
<tr>
<td align="left">
<italic>PER2</italic>
</td>
<td align="left">Controversial</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000132326.11)</td>
</tr>
<tr>
<td align="left">
<italic>PER3</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000049246.14)</td>
</tr>
<tr>
<td align="left">
<italic>CRY</italic>
</td>
<td align="left">Up-regulated</td>
<td align="left">Lack of study</td>
<td align="left">(ENSG00000008405.11/ENSG00000121671.11)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LGG, brain lower grade glioma; GBM, glioblastoma multiforme; PCPG, pheochromocytoma and paraganglioma; HNSC, head and neck squamous cell carcinoma; NPC, nasopharyngeal carcinoma; ACC, adenoid cystic carcinoma; ERK, extracellular signal regulated kinase; MAPK, mitogen activated protein kinase; OSCC, oral squamous cell carcinoma; THYM, thymoma; ESCA, esophageal carcinoma; BRCA, breast invasive carcinoma; Her2, human epidermal growth factor receptor 2; LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma; SARC, sarcoma; YAP1, Yes-associated protein 1; NF-&#x3ba;B, nuclear factor-&#x3ba;B; PI3K, Phosphatidylinositol-3-kinase; OV, ovarian cancer; CESC, cervical and endocervical cancer; UCEC, uterine corpus endometrium carcinoma; UCS, uterine carcinosarcoma; LIHC, liver hepatocellular carcinoma; PRAD, prostate adenocarcinoma; CHOL, cholangiocarcinoma; KICH, kidney chromophobe; KIRC, kidney renal clear cell carcinoma; KIRP, kidney renal papillary cell carcinoma; EGCG, Epigallocatechin-3-gallate; HCC, hepatocellular carcinoma; BLCA, bladder urothelial carcinoma; STAD, stomach adenocarcinoma EGFR, epidermal growth factor receptor; DPD, dihydropyridine dehydrogenase; TGCT, testicular germ cell tumors; COAD, colon adenocarcinoma; READ, rectum adenocarcinoma; SKCM, skin cutaneous melanoma; AML, acute myeloid leukemia; C/EBPs, CCAAT/enhancer-binding proteins; CML, chronic myeloid leukemia; DLBC, lymphoid neoplasm diffuse large B-cell lymphoma.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In contrast, the differential expression of clock genes may be associated with prognosis and survival of cancer patients. Patients with ACC or COAD exhibit low <italic>BMAL1</italic> (<italic>ARNTL</italic>), which is associated with a higher overall survival rate over five or 10&#xa0;years (<xref ref-type="fig" rid="F2">Figure&#x20;2A</xref>). Inversely, patients with SKCM or KIRP show the opposite effects (<xref ref-type="fig" rid="F2">Figure&#x20;2B</xref>). Furthermore, the expression of <italic>BMAL1</italic> is not associated with the survival of patients with BLCA and LUSC (<xref ref-type="fig" rid="F2">Figure&#x20;2C</xref>). These findings suggest that the levels of clock genes play different roles across tumors and understanding their modulatory role can be advantageous to improve treatment strategies and predict the prognosis of cancer patients.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>The survival rate of low and high <italic>BMAL1</italic> TPM in different cancers. Low <italic>BMAL1</italic> TPM relates to a high overall survival rate in patients with ACC or COAD <bold>(A)</bold>. High <italic>BMAL1</italic> TPM relates to a high overall survival in SKCM or KIRP <bold>(B)</bold>. The expression of <italic>BMAL1</italic> is irrelevant in BLCA or LUSC <bold>(C)</bold>.</p>
</caption>
<graphic xlink:href="fphar-12-741295-g002.tif"/>
</fig>
<p>Nevertheless, there are still some issues that require further consideration, such as the oscillation in the expression of circadian clock genes in tumors. Our group tested the expression of <italic>BMAL1</italic> at different time points in patients with tongue squamous cell carcinoma (TSCC) after being synchronized with dexamethasone (<xref ref-type="bibr" rid="B101">Tang et&#x20;al., 2017</xref>). The results indicated that the expression of <italic>BMAL1</italic> showed a stable cyclical fluctuation in TSCC. Further, <italic>BMAL1</italic> also exhibited a phenomenon of circadian rhythm reset, reflected by a shorter phase and reduced oscillation amplitude. In murine mammary tumor cell lines, <italic>Per1</italic> levels revealed a circadian rhythm with a 2.5-fold oscillation amplitude compared to normal tissues. However, in the liver, the daily maximum of <italic>Per1</italic> and <italic>Per2 tumor</italic> expression was delayed by 4&#xa0;h. The oscillation amplitude of the rhythmic expression of <italic>Cry1</italic> decreases 5-fold in tumors, and that of <italic>Bmal1</italic> by 50-fold (<xref ref-type="bibr" rid="B118">Yang et&#x20;al., 2009</xref>). These investigations suggested that clock genes may be cancer-specific and that the circadian resets of these clock genes could be closely associated with subsequent chronotherapies.</p>
</sec>
<sec id="s2-2">
<title>Significant Biological activities in Tumor Tissues are Characteristic of Circadian Rhythms</title>
<p>As a response to the circadian reset of clock genes and the timing of circadian rhythms, the circadian clocks of tumor tissues and their cellular behaviors a differ from those of normal tissues.</p>
<p>The proliferation rhythms in tumor cells also differ from those of normal cells. For bone marrow cells, the highest proliferation rate peaks from the second half of the night to early in the morning, while tumor cells proliferate most actively during the first half of the night. Circadian variations in cell proliferation result from the synchronous progression of cell cycle events. The oscillation of platelet-derived growth factor (PDGF) signaling could modulate the expression of cell cycle regulators and then lead to the transition of quiescent cells into the proliferative stage (<xref ref-type="bibr" rid="B68">Nakagawa et&#x20;al., 2008</xref>). As a result, analysis of cell-cycle distribution in malignant tissues may offer beneficial information for many chemotherapeutic agents based on phase-specificity. For example, the application of antimitotic drugs at a suitable time point can target G2/M gating of the cell cycle, which is regulated by resetting the circadian rhythm in malignant tumors. And studies show that the proliferation gene Ki-67 is regulated by the clock genes. In tumors, the circadian reset of <italic>PER1</italic> is related to the increase of Ki-67, accelerating cell proliferation (<xref ref-type="bibr" rid="B119">Ye et&#x20;al., 2015</xref>). In addition, circadian clocks can regulate apoptotic processes. The altered circadian organization of B-cell lymphoma-2 (BCL-2) oncogene, can be considered a regulatory factor of programmed cell death pathways in tumors and serves as a target site for &#x3b3;-radiation (<xref ref-type="bibr" rid="B26">Granda et&#x20;al., 2005</xref>). The reset of <italic>PERs</italic> can inhibit the expression of BCL-2 and modulate tumor apoptosis (<xref ref-type="bibr" rid="B56">Li, 2019</xref>).</p>
<p>DNA synthesis in tumor cells results in different circadian rhythm oscillations due to the modulation by AG1295, whose mRNA accumulates nearly at the active period of DNA synthesis (<xref ref-type="bibr" rid="B68">Nakagawa et&#x20;al., 2008</xref>). Telomerase is an important enzyme whose primary function is to maintain the correct length of the telomere. In normal organisms, there is a balance between the activity of telomerase and cell replication. Circadian clocks regulate telomerase expression, escaping damage through cellular replicative senescence to ensure cell eternity in tumor cells when circadian clocks have changed (<xref ref-type="bibr" rid="B99">Sulli et&#x20;al., 2019</xref>). In addition, the response to DNA damage is activated in cells every day, and the level of expression of the pivotal circadian clock gene <italic>PER1</italic> is largely involved in DNA repair. PER1 contribute to G1/S and G2/M arrest by the Cyclin-cyclin-dependent kinase (CDK) inhibitor regulatory network (<xref ref-type="bibr" rid="B19">Fu et&#x20;al., 2016</xref>). <italic>CLOCK</italic> can regulate the rhythmic profile of p53 and reset DNA damage. Thus, when the core negative regulators are down-regulated, the proper cellular response to DNA damage is disturbed (<xref ref-type="bibr" rid="B109">Wang et&#x20;al., 2016</xref>). Further, the response of tumor cells to DNA damage differs from that of normal tissues (<xref ref-type="bibr" rid="B99">Sulli et&#x20;al., 2019</xref>). Consequently, differences in DNA behavior due to the resetting of the circadian genes is responsible for the antimetabolic activity of drugs used in cancer chronotherapies.</p>
<p>When a malignancy arises, homeostatic mechanisms are dysregulated, as the energy needs of cancer cells are altered or even increased. Tumor cells reprogram their metabolism to ensure a steady supply of metabolites to generate new biomass. Therefore, these changes can be correlated with an increase in aerobic glycolysis and lipogenesis. Increased glycolysis and lipogenesis are responsible for fatty acid oxidation and methionine synthesis pathways, and both processes show circadian rhythms. In AML, UDP-glucose (Uridine diphosphate-glucose), a glycogenic precursor, is persistently upregulated. Patients with chronic lymphocytic leukemia (CLL) show high circulating levels of pyruvate and glutamate in their blood (<xref ref-type="bibr" rid="B76">Padmanabhan and Billaud, 2017</xref>). Based on Fuhr et&#x20;al.&#x2019;s research, genes involved in glycolysis and oxidative phosphorylation pathways oscillate between peak values in colorectal cancer cell lines. The oscillatory oxygen consumption rates (OCRs) show an ultradian pattern because the peak in downstream proteins present an 18-h phase shift compared to normal cells. Through unknown mechanisms synchronization occurs later, and viability and cytotoxicity decrease in the cells (<xref ref-type="bibr" rid="B20">Fuhr et&#x20;al., 2018</xref>). KMT2D enhances <italic>Per2</italic> expression through super-enhancer activation and it inhibits glycolytic genes via IGFBP5-regulated insulin-like growth factor (IGF) signaling. Targeting KMT2D may contribute to rationalize glycolysis inhibition as an anticancer treatment strategy (<xref ref-type="bibr" rid="B2">Alam et&#x20;al., 2020</xref>).</p>
<p>The biological behaviors of tumor cells transform to reset their circadian rhythms compared with normal cells, including cell proliferation and differentiation, DNA synthesis and replication, and metabolic activities. These processes are of great concern for the tumor process. These differences in circadian rhythms are also the biological basis of chronotherapies of cancers.</p>
</sec>
</sec>
<sec id="s3">
<title>Cancer Chronotherapies</title>
<p>The CTS comprises molecular clocks, driving 24-h fluctuations in detoxification and xenobiotic metabolism, immune functions, cellular proliferation, angiogenesis, apoptosis, cell cycle events, DNA repair, and many signal transduction pathways. The CTS controls drug absorption, distribution, metabolism, and excretion (ADME), which influence the chronopharmacokinetics of anticancer agents controlled by rhythmic physiology and circadian clock signaling. Conversely, the CTS also regulates cell cycle events, molecular targets, signal channels, DNA repair, and apoptosis. The CTS is responsible for the chronopharmacodynamics of anticancer drugs, radiotherapy, and other treatments with clock genes at the molecular level. The relationships between chronopharmacokinetics and chronopharmacodynamics can be used to construct optimal chronomodulated drug delivery schedules (<xref ref-type="bibr" rid="B75">Ozturk et&#x20;al., 2017</xref>). Those cellular or pharmacologic determinants form the therapeutic potential of circadian-based chronotherapies against cancers. Essentially, chronotherapies improve the efficacy and tolerability of anticancer&#x20;drugs.</p>
<sec id="s3-1">
<title>Chronopharmacokinetics of Chronotherapies</title>
<p>Drug pharmacokinetics govern ADME properties from the cellular to systemic levels with circadian rhythms. The ADME properties of anticancer drugs are at the mercy of large circadian variations (<xref ref-type="bibr" rid="B54">Levi and Schibler, 2007</xref>), such as rest-activity patterns, which could modulate blood pressure and flow to change drug absorption, cooperating with gastric pH and gastrointestinal motility (<xref ref-type="bibr" rid="B10">Cederroth et&#x20;al., 2019</xref>). The elimination of drugs in the urine are related to several intrinsic renal variables, including glomerular filtration rate (GFR), the renal blood flow (RBF), and alkalinization/acidification degree of urine in the kidney (urine pH). Elimination mechanisms also follow the circadian rhythm of metabolic enzymes (<xref ref-type="bibr" rid="B21">Gachon and Firsov, 2011</xref>). Some agents that regulate gastrointestinal motility and renal variables can influence drug pharmacokinetics. For instance, brain-derived neurotrophic factor (BDNF) induces the contractility of smooth muscle cells (SMCs) by tyrosine kinase receptor B (TrkB)/RhoA/ROCK signaling. In addition, BDNF also augments noradrenergic noncholinergic (NANC) relaxation via the nitric oxide (NO)/soluble guanylate cyclase (sGC) pathway (<xref ref-type="bibr" rid="B94">Singh et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B95">Singh et&#x20;al., 2021</xref>).</p>
<p>Circadian rhythms of drug metabolism, detoxification, and drug transport are closely associated with drug-metabolizing enzyme families (<xref ref-type="fig" rid="F3">Figure&#x20;3</xref>). Phase I and II drug-metabolizing enzyme families contain cytochrome P-450 (CYP450), aminolaevulinic acid synthase (ALAS), P450 oxidoreductase (POR), UDP-glucuronosyl transferase (UGT), glutathione-S-transferase (GST), N-acetyl transferase (NAT), and sulfotransferase (SULT). They play critical roles in oxidation, reduction, hydrolysis, and conjugation reactions (<xref ref-type="bibr" rid="B21">Gachon and Firsov, 2011</xref>). CYP450 catalyzes oxidative biotransformation in numerous drugs, and account for approximately &#x223c;75% of their overall metabolism (<xref ref-type="bibr" rid="B123">Zanger and Schwab, 2013</xref>). All these enzymes are regulated by clock genes such as <italic>CLOCK</italic> and <italic>BMAL1,</italic> and by the circadian clock-regulated PAR-domain basic leucine zipper (RARbZip) transcription factor family (<xref ref-type="bibr" rid="B22">Gachon et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B41">Kang et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B127">Zhang et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B102">Tanimura et&#x20;al., 2011</xref>). In addition, these enzyme families participate in hepatic metabolism, the liver being the primary organ of drug metabolism and detoxification and is characterized by its capacity of producing its circadian rhythms (<xref ref-type="bibr" rid="B104">Turek and Allada, 2002</xref>). Studies have also shown that the circadian clocks control <italic>Cyp2a5</italic>, <italic>Cyp2b10</italic>, and <italic>Cyp3a11</italic> mRNA levels in the liver or intestinal tract of mice. Cyp4a isoforms in the liver modulate renal function by catalyzing the formation of 20-hydroxyeicosatetraenoic acid, efficiently influencing tubular ion transport and renal vasculature, which might explain the circadian rhythms of blood pressure and renal function (<xref ref-type="bibr" rid="B73">Ohdo et&#x20;al., 2019</xref>). The glutathione content in the liver is possibly higher in the second half of the dark span of the light-dark cycle. Suppressing the synthesis of glutathione could alter the chrono-tolerance patterns of oxaliplatin and cisplatin. In contract, UGT contents are higher during the dark span in mice. It relates to the chrono-tolerance of seliciclib and irinotecan. Phase III metabolizing enzyme families consist of ATP-Binding Cassette (ABC) transporters, including P-glycoprotein (P-gp), multi-drug resistance-associated proteins (MRP), and solute carrier (SLC) superfamily. These enzymes are responsible for transporting drugs in to and out of target tissues and cells (<xref ref-type="bibr" rid="B21">Gachon and Firsov, 2011</xref>). The expressions of ABC and SLC transporters are rhythmic in the liver and the intestine of mice. The ABCB1a and ABCB1b mRNA rhythms further increase the activity of P-gp during the dark span in mice. In short, changes in circadian rhythms in multifold enzymes and transporter function can potentially lead to 24-h changes in ADME properties of anticancer drugs and then lead to differences in daily bioavailability of drugs between organisms. Furthermore, changing or identifying the optimal time for the expression of specific enzymes or transporters may improve the tolerability and curative effects of anticancer&#x20;drugs.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Chrono-pharmacokinetics of drug metabolism, detoxification, and delivery with metabolizing enzymes in the liver. The liver is controlled by circadian clocks that account for chrono-pharmacokinetics. Drug metabolism, detoxification, and delivery with metabolizing enzyme families are rhythmic in the&#x20;liver.</p>
</caption>
<graphic xlink:href="fphar-12-741295-g003.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>Chrono-Pharmacodynamics of Chronotherapies</title>
<p>Drug activities are mainly under the control of the CTS at the molecular level, with several molecular drug targets involved in several biological functions, including cell cycle events, DNA repair, angiogenesis, intracellular targets, and triggered pathways (<xref ref-type="bibr" rid="B93">Singh et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B5">Ballesta et&#x20;al., 2017</xref>). Circadian clocks mediate cell cycle events that cooperate with clock genes and signaling pathways in oncogenesis, either transcriptionally or via protein&#x2013;protein interactions. Studies show that <italic>BMAL1</italic> inhibit cyclin E transcription to block the formation of the Cyclin E/CDK (cyclin-dependent kinase) complex, leading to cell cycle arrest&#x20;in&#x20;G1/S. Wee1 inactivates the CDK1/CycB complex by phosphorylation to eliminate inhibition of pCDK1 to improve G2/M phase transition (<xref ref-type="bibr" rid="B96">Sot&#xe1;k et&#x20;al., 2014</xref>). Dallmann et&#x20;al. also demonstrated that DNA synthesis in the S phase and mitosis rhythms occur in hematopoietic cells, immune system cells, and gastrointestinal tract cells. This process targets cancer-related signal transduction pathways such as epidermal growth factor receptor (EGFR) and Rat sarcoma/rapidly accelerated fibrosarcoma/mitogen-activated protein kinase (Ras/Raf/MAPK). Furthermore, drugs targeting tubulin and microtubule in the G2/M phase are also implicated in different chronotherapy approaches. Kumar et&#x20;al. showed that modulation of tubulin-microtubule dynamics interacts with vascular endothelial growth factor (VEGF) and hypoxia inducible factor-&#x3b1; (HIF-&#x3b1;) to reduce mice mammary carcinoma volumes by 48.2% (<xref ref-type="bibr" rid="B97">Srivastava et&#x20;al., 2020</xref>). In addition, the clock genes could also be involved in apoptosis by modulating signaling pathways. <italic>BMAL1</italic> can suppress the expression of p21 indirectly via the retinoic acid-associated orphan receptor &#x3b1; (ROR&#x3b1;) pathway (<xref ref-type="bibr" rid="B42">Kelleher et&#x20;al., 2014</xref>). Methionine aminopeptidase 2 (MetAP2) positively regulates endothelial cell proliferation during tumor angiogenesis. <italic>The CLOCK/BMAL1</italic> heterodimer in the clock feedback loop enhances the transcription of the MetAP2 promoter, while <italic>PER2</italic>/<italic>CRY1</italic> inhibits promoter activation (<xref ref-type="bibr" rid="B69">Nakagawa et&#x20;al., 2004</xref>). Furthermore, clock genes can regulate DNA repair and damage. Increasing DNA damage and genome instability has been observed in <italic>Cry2</italic>-deleted cells, suggesting a specific role for <italic>Cry</italic> in the transcriptional regulation of DNA repair. Furthermore, CRY activates the ATM and Rad3-related/creatine phosphokinase1 (ATR/CHK1) signaling pathways of DNA damage with Timeless protein (TIM), and PER1 also plays a significant role in the Ataxia telangiectasia mutated creatine phosphokinase2 (ATM-CHK2) protein complex to activate the DNA double-strand break process. All of the above biological functions can be considered molecular targets of anticancer drugs able to suppress the cancer process. Due to the regulation of circadian rhythms, it is possible to reduce side effects and improve efficacy by administering drug treatments that are optimally timed and using the proper doses. In short, chronopharmacokinetic and chronopharmacodynamics constitute an area of chronopharmacology providing a mechanistic rationale to successful treatment outcomes.</p>
</sec>
<sec id="s3-3">
<title>Chrono-Chemotherapy, Targeted Therapy, and Radiotherapy Applications</title>
<p>Chemotherapy is one of treatment approach for tumors. To date, studies have observed the correlation between chronotherapies and chemotherapy and have identified relevant chemotherapy drugs for chronochemotherapy. Okazaki et&#x20;al. used tumor-bearing mice as a model and determined that the survival rate of mice was higher when treatment was administered everolimus at 7:00 p.m. rather than at 7:00 a.m. (<xref ref-type="bibr" rid="B74">Okazaki et&#x20;al., 2014</xref>). Another study showed that the antitumor effect of interferon (IFN)-&#x3b2; in nocturnally active mice was more efficient during the early rest phase than during the early activation phase (<xref ref-type="bibr" rid="B100">Takane et&#x20;al., 2000</xref>). Imatinib is an antitumor agent that suppresses the activity of multifarious receptors with tyrosine kinase activity, also known as a protein receptor tyrosine kinase inhibitor (PKTI). Imatinib mesylate (50&#xa0;mg/kg) administered during the early light phase reduces tumor growth (<xref ref-type="bibr" rid="B70">Nakagawa et&#x20;al., 2006</xref>). Furthermore, many other anticancer drugs in which administration in line with the timing of the circadian improves antitumor efficacy have been reported, including antimetabolites (e.g., 5-fluorouracil, l-alanosine, gemcitabine, floxuridine) (<xref ref-type="bibr" rid="B58">Li et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B60">Li et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B108">von Roemeling and Hrushesky, 1990</xref>; <xref ref-type="bibr" rid="B112">Wood et&#x20;al., 2006</xref>); topoisomerase &#x2160; inhibitors (e.g., irinotecan, topotecan, and 9-aminocamptothecin) (<xref ref-type="bibr" rid="B46">Kirichenko and Rich, 1999</xref>; <xref ref-type="bibr" rid="B24">Granda et&#x20;al., 2002</xref>; <xref ref-type="bibr" rid="B67">Mullins et&#x20;al., 2005</xref>); topoisomerase &#x2161; inhibitors (etoposide) (<xref ref-type="bibr" rid="B51">L&#xe9;vi et&#x20;al., 1985</xref>); alkylators (e.g., oxaliplatin, cyclophosphamide, melphalan, carboplatin, and nedaplatin) (<xref ref-type="bibr" rid="B30">Halberg et&#x20;al., 1980</xref>; <xref ref-type="bibr" rid="B87">Scheving et&#x20;al., 1980</xref>; <xref ref-type="bibr" rid="B8">Boughattas et&#x20;al., 1990</xref>; <xref ref-type="bibr" rid="B24">Granda et&#x20;al., 2002</xref>; <xref ref-type="bibr" rid="B13">Cui et&#x20;al., 2004</xref>); cytokines (e.g., INF-&#x3b1;, INF-&#x3b3;, INF-&#x3b2;, interleukin-2, BDNF) (<xref ref-type="bibr" rid="B43">Kemeny et&#x20;al., 1992</xref>; <xref ref-type="bibr" rid="B100">Takane et&#x20;al., 2000</xref>; <xref ref-type="bibr" rid="B90">Shinohara et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B95">Singh et&#x20;al., 2021</xref>); hormones (e.g.tamoxifen) (<xref ref-type="bibr" rid="B6">Binkhorst et&#x20;al., 2015</xref>), mitotic inhibitors e.g., docetaxel and vinorelbine (<xref ref-type="bibr" rid="B17">Filipski et&#x20;al., 1999</xref>; <xref ref-type="bibr" rid="B25">Granda et&#x20;al., 2001</xref>), DNA intercalators (e.g. doxorubicin) (<xref ref-type="bibr" rid="B103">To et&#x20;al., 2003</xref>), cell cycle inhibitors (e.g. seliciclib, paclitaxel, diosgenin derivatives, analogues of 2-methoxyestradiol (2ME2), neolignans 10, and curcumin mimic 6a) (<xref ref-type="bibr" rid="B39">Iurisci et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B85">Sathish Kumar et&#x20;al., 2014a</xref>; <xref ref-type="bibr" rid="B86">Sathish Kumar et&#x20;al., 2014b</xref>; <xref ref-type="bibr" rid="B31">Hamid et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B101">Tang et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B44">Khwaja et&#x20;al., 2018</xref>); cyclooxygenase or COX-2 inhibitors (e.g., celecoxib) (<xref ref-type="bibr" rid="B7">Blumenthal et&#x20;al., 2001</xref>); and VEGF inhibitor (e.g., TNP-470 or O-(chloroacetyl-carbamoyl) fumagillol)), the matrix metalloproteinase inhibitor BB2516), and the VEGFR-2 TKI SU1498 (<xref ref-type="bibr" rid="B47">Koyanagi et&#x20;al., 2003a</xref>; <xref ref-type="bibr" rid="B48">Koyanagi et&#x20;al., 2003b</xref>). Generally speaking, cancer chronotherapies consider the association of anticancer drugs with treatment in line with a patient&#x2019;s circadian rhythm. Therefore, studying the rhythmicity of these drugs provides enhanced treatments for cancers.</p>
<p>Targeted therapy of tumors aims at recognizing specific antigens on the surface of tumor cells through monoclonal antibodies. Conversely, it also aims at suppressing tumor cell growth through small molecules that block intracellular signal transduction by tyrosine kinases. These intracellular signals include extracellular signal-regulated kinase/mitogen-activated protein kinase (ERK/MAPK), Janus kinase (JAK), PI3K, estrogen receptor (ER), and EGFR (<xref ref-type="bibr" rid="B18">Firer and Gellerman, 2012</xref>). Targeted therapy has also observed circadian rhythms. Lapatinib proves to be a clock-targeted drug inhibitor of EGFR in breast cancer, acting on everolimus. Everolimus is an inhibitor of the Mammalian target of rapamycin (mTOR) through the EGFR/Ras/Ras/MAPK pathway (<xref ref-type="bibr" rid="B77">Pagani et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B4">Azzi et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B124">Zappe et&#x20;al., 2015</xref>). Besides, lapatinib also improves the survival rate of cancer patients when administered in patients overexpressing mTOR (<xref ref-type="bibr" rid="B74">Okazaki et&#x20;al., 2014</xref>). Other chronotarget drugs, such as erlotinib, as the EGFR inhibitor for lung cancer, have also already been reported. Erlotinib displays anti-tumor activities more effectively on tumor growth inhibition when administered in the early-light than in the early-dark phase of the circadian rhythm when EGFR activities and its downstream factors increase (<xref ref-type="bibr" rid="B59">Li XM. et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B62">Lin et&#x20;al., 2015</xref>). Benzylidene indanone 1 induces apoptosis in DU145 cells by cleavage of poly ADP-ribose polymerase (PARP) (<xref ref-type="bibr" rid="B92">Singh et&#x20;al., 2015</xref>). Hamid et&#x20;al. determined that diosgenin and related compounds induce apoptosis in DU145 prostate cancer cells through the caspase pathway (<xref ref-type="bibr" rid="B32">Hamid et&#x20;al., 2017</xref>). Targeted therapy for specific cancer sites is based on selective and available properties of cancers and normal cells with the context of the circadian clocks.</p>
<p>Similarly, radiation therapy is also associated with circadian rhythms influencing the expression of clock genes such as <italic>BMAL1</italic>, <italic>CLOCK</italic>, <italic>PER</italic>, and <italic>CRY</italic>. The clock genes coordinate molecular events and generate circadian rhythms influencing radiotherapy throughout the 24-h period. It predisposes cells to be more sensitive to treatments at a specific period (<xref ref-type="bibr" rid="B78">Palombo et&#x20;al., 2015</xref>). Chronological exposure to radiation and DNA damaging agents, such as temozolomide, has an significant impact on the survival of brain tumor cells in culture (<xref ref-type="bibr" rid="B98">Stupp et&#x20;al., 2005</xref>). Other studies also show that chrono-modulated radiation, either alone or with other drugs, can be responsible for improving therapeutic efficacy (<xref ref-type="bibr" rid="B1">Akgun et&#x20;al., 2014</xref>). However, chrono-radiotherapy may also cause various side effects, such as long-lasting sleep disruption, cognitive defects, hair loss, and dermatitis. Therefore, the current attention to chrono-modulated administration of radiation has addressed how to reduce treatment-related symptoms. A study published by Noh et&#x20;al. treated 395 patients with radiotherapy in the early morning and early evening and found that the early evening-treated group experienced significantly higher acute skin reactions compared to the morning treated group (<xref ref-type="bibr" rid="B72">Noh et&#x20;al., 2014</xref>). Other studies demonstrated that exposure to radiation, resulted in greater hair loss in the morning and that Xpa levels were lower compared to those in the evening. These results indicate that studying the side effects of radiation chronotherapy to improve the therapeutic efficacies in tumor cells is warranted.</p>
<p>An increasing number of treatments support the therapeutic utility of circadian rhythms in cancer treatment This approach focuses on optimizing drug tolerability and efficacy and improving quality of life in cancer patients (<xref ref-type="table" rid="T2">Table&#x20;2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The correlation between anticancer drugs and circadian rhythmicity from studies.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Classification</th>
<th align="center">Drugs</th>
<th align="center">Cancer types</th>
<th align="center">Schedule</th>
<th align="center">Evidence</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="5" align="left">Antimetabolite</td>
<td align="left">5-fluorouracil</td>
<td align="left">Colon cancers</td>
<td align="left">at 4:00 a.m.</td>
<td align="left">Meta-analysis</td>
<td align="left">
<xref ref-type="bibr" rid="B112">Wood et&#x20;al. (2006)</xref>
</td>
</tr>
<tr>
<td align="left">L-alanosine</td>
<td align="left">Lymphocytic leukemia</td>
<td align="left">the half of the activity span</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B58">Li et&#x20;al. (2006)</xref>
</td>
</tr>
<tr>
<td align="left">Gemcitabine</td>
<td align="left">Osteosarcoma</td>
<td align="left">3-day interval</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B60">Li et&#x20;al. (2005)</xref>
</td>
</tr>
<tr>
<td align="left">Floxuridine</td>
<td align="left">Breast cancer</td>
<td align="left">the late activity-early rest span</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B108">von Roemeling and Hrushesky, (1990)</xref>
</td>
</tr>
<tr>
<td align="left">Capecitabine</td>
<td align="left">Rectal cancer</td>
<td align="left">at 8:00 a.m.&#x26;12:00p.m.</td>
<td align="left">Phase II study</td>
<td align="left">
<xref ref-type="bibr" rid="B1">Akgun et&#x20;al. (2014)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">Top &#x2160; inhibitor</td>
<td align="left">Irinotecan</td>
<td align="left">Colorectal cancer</td>
<td align="left">at 5:00 a.m.</td>
<td align="left">PK study</td>
<td align="left">
<xref ref-type="bibr" rid="B24">Granda et&#x20;al. (2002)</xref>
</td>
</tr>
<tr>
<td align="left">Topotecan</td>
<td align="left">Breast cancer</td>
<td align="left">at 3:00 a.m.</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B67">Mullins et&#x20;al. (2005)</xref>
</td>
</tr>
<tr>
<td align="left">9-AC</td>
<td align="left">Breast cancer</td>
<td align="left">the rest phase</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B46">Kirichenko and Rich, (1999)</xref>
</td>
</tr>
<tr>
<td align="left">mTOR inhibitor</td>
<td align="left">Everolimus</td>
<td align="left">Renal cell carcinoma</td>
<td align="left">at 19:00 p.m.</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B74">Okazaki et&#x20;al. (2014)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">PKTI</td>
<td align="left">Imatinib</td>
<td align="left">Sarcoma/Melanoma</td>
<td align="left">the early light phase</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B70">Nakagawa et&#x20;al. (2006)</xref>
</td>
</tr>
<tr>
<td align="left">Lapatinib</td>
<td align="left">Sarcoma/Melanoma</td>
<td align="left">high expression of mTOR</td>
<td align="left">Animal study</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Cytokines</td>
<td align="left">Interferon &#x3b1;</td>
<td align="left">Melanoma</td>
<td align="left">at 12:00 a.m. to 04:00 a.m.</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B100">Takane et&#x20;al. (2000)</xref>
</td>
</tr>
<tr>
<td align="left">Interferon &#x3b3;</td>
<td align="left">Melanoma</td>
<td align="left">at 16:00 p.m.</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B100">Takane et&#x20;al. (2000)</xref>
</td>
</tr>
<tr>
<td align="left">Interleukin-2</td>
<td align="left">Hepatoma</td>
<td align="left">day cycle</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B43">Kemeny et&#x20;al. (1992)</xref>
</td>
</tr>
<tr>
<td rowspan="4" align="left">Alkylator</td>
<td align="left">Cisplatin</td>
<td align="left">NSCLS</td>
<td align="left">at 6:00 a.m. &#x26; 18:00 p.m.</td>
<td align="left">Randomized controlled study</td>
<td align="left">
<xref ref-type="bibr" rid="B8">Boughattas et&#x20;al. (1990)</xref>
</td>
</tr>
<tr>
<td align="left">Oxaliplatin</td>
<td align="left">Colon cancer</td>
<td align="left">at 16:00 p.m.</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B24">Granda et&#x20;al. (2002)</xref>
</td>
</tr>
<tr>
<td align="left">CTX</td>
<td align="left">Leukemia</td>
<td align="left">at 11:00 a.m.</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B87">Scheving et&#x20;al. (1980)</xref>
</td>
</tr>
<tr>
<td align="left">Carboplatin</td>
<td align="left">NSCLS</td>
<td align="left">at 20:00 p.m.</td>
<td align="left">Toxicity analysis</td>
<td align="left">
<xref ref-type="bibr" rid="B8">Boughattas et&#x20;al. (1990)</xref>
</td>
</tr>
<tr>
<td align="left">Hormones</td>
<td align="left">Tamoxifen</td>
<td align="left">Breast cancer</td>
<td align="left">at 8:00 a.m. /13:00 p.m. /20:00 p.m.</td>
<td align="left">Animal/clinical study</td>
<td align="left">
<xref ref-type="bibr" rid="B6">Binkhorst et&#x20;al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">DNA intercalator</td>
<td align="left">Doxorubicin</td>
<td align="left">Adenocarcinoma</td>
<td align="left">middle of the rest span</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B103">To et&#x20;al. (2003)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Mitotic inhibitor</td>
<td align="left">Docetaxel</td>
<td align="left">Adenocarcinoma</td>
<td align="left">middle of the rest span</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B25">Granda et&#x20;al. (2001)</xref>
</td>
</tr>
<tr>
<td align="left">Vinorelbine</td>
<td align="left">Leukemia</td>
<td align="left"/>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B17">Filipski et&#x20;al. (1999)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Cell cycle inhibitor</td>
<td align="left">Seliciclib</td>
<td align="left">Osteosarcoma</td>
<td align="left">the early light phase</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B39">Iurisci et&#x20;al. (2006)</xref>
</td>
</tr>
<tr>
<td align="left">Paclitaxel</td>
<td align="left">TSCC</td>
<td align="left">BMAL1 overexpression</td>
<td align="left">Cell study</td>
<td align="left">
<xref ref-type="bibr" rid="B101">Tang et&#x20;al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Cox-2 inhibitor</td>
<td align="left">Celecoxib</td>
<td align="left">Breast cancer</td>
<td align="left">at 5:00 a.m. to 1:00 p.m.</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B7">Blumenthal et&#x20;al. (2001)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">VEGF inhibitor</td>
<td align="left">SU1498</td>
<td align="left">Lung carcinoma</td>
<td align="left">early of the rest span</td>
<td align="left">Animal study</td>
<td align="left">
<xref ref-type="bibr" rid="B47">Koyanagi et&#x20;al. (2003a)</xref>
</td>
</tr>
<tr>
<td align="left">BB2516</td>
<td align="left">Lung carcinoma</td>
<td align="left">early of the rest span</td>
<td align="left">Animal study</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Radiation</td>
<td align="left">&#x3b3;-radiation</td>
<td align="left">Rectal cancer</td>
<td align="left">at 8:00 a.m.&#x26;12:00p.m.</td>
<td align="left">Phase II study</td>
<td align="left">
<xref ref-type="bibr" rid="B1">Akgun et&#x20;al. (2014)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>9-AC, 9-aminocamptothecin; NSCLC, non-small cell lung cancer; CTX, cyclophosphamide; TSCC, tongue squamous cell carcinoma; Cox-2, cyclooxygenase-2; BB2516, matrix metalloproteinase inhibitor; SU1498, VEGFR-2, tyrosine kinase inhibitor.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<title>Combination of Clinical Chronotherapy Schedules</title>
<p>In particular, chronotherapy aims to maximize antitumor effects and to minimize the toxicity of anticancer agents in normal tissues. Patients who received chrono-modulated infusions of 5-FU, leucovorin, and oxaliplatin at separate times showed a low frequency of side effects (<xref ref-type="bibr" rid="B52">L&#xe9;vi et&#x20;al., 1992</xref>; <xref ref-type="bibr" rid="B107">von Roemeling and Hrushesky, 1989</xref>). In their study, Levi et&#x20;al. compared the efficacy of chrono-modulated infusion to the standard fixed infusion. Patients received the 5-FU chrono-modulated infusion with administration maximum at 4:00 a.m. and the oxaliplatin administration time was maximum at 16:00. This three-drug chronomodulated regimen (chrono-FFL) produced a 58% response rate in 93 patients with metastatic colorectal cancer (<xref ref-type="bibr" rid="B50">L&#xe9;vi et&#x20;al., 1995</xref>). Taking Capecitabine 50% dose at 8:00 a.m. and 50% dose at midnight with radiotherapy decreases the toxicity of hand-foot syndrome, thrombocytopenia, diarrhea, and mucositis. Subsequently, the median survival rate was also prolonged (<xref ref-type="bibr" rid="B1">Akgun et&#x20;al., 2014</xref>). Cisplatin often combinates with doxorubicin. Patients with ovarian or bladder cancer in a phase-II trial confirmed the better tolerability of morning doxorubicin and&#x20;evening cisplatin (<xref ref-type="bibr" rid="B38">Innominato et&#x20;al., 2010</xref>). The improvements of chrono-tolerability reduce toxicity or side-effects with conventional schedules. Chronomodulated delivery, therefore, enables the therapeutic efficacy to increase.</p>
</sec>
</sec>
<sec id="s4">
<title>Personalized Biomarkers for Precision Chronotherapies</title>
<sec id="s4-1">
<title>Temperature, Rest-Activity, and Some Hormones are Biomarkers</title>
<p>The SCN, a main circadian oscillator of the CTS, produces behavioral rhythms and synchronizes clocks in peripheral organs, causing measurable and therapeutically available circadian oscillations. Therefore, the rhythms of body temperature, hormone secretion, autonomic nervous system activity, cytokine release, and resting-activity form a dynamic physiological network that interacts with peripheral clocks. These rhythms serve as biomarkers of the CTS to optimize precise chronotherapy timing and dosing in individual cancer patients, respectively. Temperature forms a biomarker for cancer chemotherapy (<xref ref-type="bibr" rid="B53">L&#xe9;vi et&#x20;al., 2010</xref>). The monitoring of skin surface temperature could provide supplementary information regarding circadian phase and the CTS robustness. Patients maintain robust circadian rhythms with consistent 24-h temperature amplitudes and resting-activity after chronotherapy due to drug delivery patterns that involve administration at proper times and anti-cancer drug dose. However, chronotherapy may induce a transient or continuous circadian disturbance in the other patients, may due to the poor timing of the single or fixed chronotherapy protocols during the internal phases of those patients, which can reduce the antitumor efficacy and tolerability of anticancer therapies (<xref ref-type="bibr" rid="B84">Roche et&#x20;al., 2014</xref>). In other clinical trials, cervical and lung cancer patients were randomly divided into several groups and received the same radiotherapy but with varying body temperatures. The growth of tumor cells was inhibited when radiotherapy was applied at the peak of body temperature. In general, resting-activity, body temperature, saliva cortisol levels, plasma catecholamines, and melatonin levels, among the various circadian biomarkers, show statistically significant and consistent rhythms in patients with early or advanced colon, lung, ovary, breast, prostate, or head and neck cancers (<xref ref-type="bibr" rid="B53">L&#xe9;vi et&#x20;al., 2010</xref>). Measurement of these biomarker patterns could help to deliver CTS information on robustness, synchronization, and internal clock timing. Confirming the peak or trough in these patterns can identify the optimal internal timing for chronotherapy delivery in individual patients.</p>
</sec>
<sec id="s4-2">
<title>
<italic>BMAL1</italic> and <italic>PER</italic> Serve as Biomarkers</title>
<p>At the molecular level, some transcription-translation feedback loops with self-regulating functions also maintain the stability of circadian rhythms. The central feedback loop consists mainly of clock genes, such as <italic>BMAL1, CLOCK</italic>, and downstream genes, including <italic>PER</italic> and <italic>CRY</italic> (<xref ref-type="bibr" rid="B79">Panda et&#x20;al., 2002</xref>). Clock genes affect physiological functions of the whole body in tissues and cells specifically through multiple signal pathways, which account for interindividual differences in relevant circadian rhythms. <italic>BMAL1</italic> is an important transcription factor in this feedback loop that may suppress the growth, proliferation, and proliferation of multiple cancer cells, including tongue squamous cancer cells, colorectal cancer cells, breast cancer cells, and ovarian cancer cells (<xref ref-type="bibr" rid="B27">Gr&#xe9;chez-Cassiau et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B33">Hanahan and Weinberg, 2011</xref>; <xref ref-type="bibr" rid="B16">Elshazley et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B35">Hsu et&#x20;al., 2012</xref>). Furthermore, <italic>BMAL1</italic> expression influences the sensitivity of chemotherapeutic drugs, including irinotecan (<xref ref-type="bibr" rid="B15">Dulong et&#x20;al., 2015</xref>), oxaliplatin (<xref ref-type="bibr" rid="B125">Zeng et&#x20;al., 2014</xref>), PTX (<xref ref-type="bibr" rid="B101">Tang et&#x20;al., 2017</xref>), and cyclophosphamide. According to studies, <italic>BMAL1</italic> acts directly on DNA telomeres to recruit EZH2 for combining with TERT promoter to negatively regulate TERT transcription and increase TERT expression, which leads to the improvement of PTX sensitivity of TSCC. Furthermore, the efficacy of PTX in TSCC is highly consistent with the expression of <italic>BMAL1</italic>. The higher expression of <italic>BMAL1</italic>, the better the efficacy of PTX. In addition, since <italic>BMAL1</italic> expression exhibits a stable circadian rhythm in healthy individuals and in cancer cells, <italic>BMAL1</italic> could serve as a direct molecular target for PTX to determine the best drug administration time for personalized chronotherapies (<xref ref-type="bibr" rid="B101">Tang et&#x20;al., 2017</xref>) and may contribute to improving the efficacy of anticancer drugs and reduce their toxicity.</p>
<p>Besides <italic>BMAL1</italic>, period genes (<italic>PER1</italic> and <italic>PER2</italic>) as clock genes having expression synchronized with steady circadian rhythms also influence the progression of tumors. The expression of these genes decrease in patients with pancreatic carcinoma (<xref ref-type="bibr" rid="B82">Relles et&#x20;al., 2013</xref>), head and neck neoplasm (<xref ref-type="bibr" rid="B35">Hsu et&#x20;al., 2012</xref>), or breast cancer (<xref ref-type="bibr" rid="B111">Winter et&#x20;al., 2007</xref>). Niu et&#x20;al. used an animal model of brain glioma to study the expressions of <italic>Per1</italic> and <italic>Per2</italic> in normal and glioma tissues, and determined that the expression of <italic>Per1</italic> was at its minimum at midnight, while the expression of <italic>Per2</italic> is maximal at midnight and minimum at 8:00 a.m. in glioma tissues (<xref ref-type="bibr" rid="B126">Zhanfeng et&#x20;al., 2015</xref>). Another study treated animals with radiotherapy at different time points based on the disparate expression of <italic>Per1</italic> or <italic>Per2</italic> (<xref ref-type="bibr" rid="B126">Zhanfeng et&#x20;al., 2015</xref>). The results showed that the apoptosis rate of glioma cells was higher when radiotherapy was administered at the peak of <italic>Per1</italic> or <italic>Per2</italic> expression, indicating that clock genes could act as molecular targets that regulate chronotherapy efficacy and promote personalized therapeutic effects.</p>
<p>Precise biomarkers or targets with constant rhythms in individuals can help identify personalized circadian rhythms in order to optimize treatment plans and thus, maximize treatment efficacy and improve quality of&#x20;life.</p>
</sec>
</sec>
<sec id="s5">
<title>Conclusion and Future Prospects</title>
<p>Biological clocks are closely associated with the occurrence and development of tumors. Chronotherapies that exploit circadian rhythms in experimental and preclinical trials are based on the development of therapeutic interventions that consider the influence of treatment mechanisms of action and the circadian status of the tumor targets. More importantly, personalized precision chronotherapies combined with biomarkers can optimize the effective management of the administration of the chronotherapy, in clinical trials and ultimately in individual care in cancer patients. The personalized precision chronotherapy approach is characterized by the maximum therapeutic effect achievable, minimum side effects, and relatively higher potential risk prediction. Further studies should identify other biomarkers able to ameliorate personalized chronotherapies, and to provide precise chronotherapy strategies. In addition, a neoteric approach should be developed to exploit drugs that target the circadian clocks to improve efficacy and prognosis.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Author Contributions</title>
<p>JZ and JW performed the original draft preparation, revision, created the tables and figures. And JZ and JW were the major contributors in writing the manuscript. XZ and QT participated in conceptualization and methodology and made suggestions to the writing of the manuscript and revisions to tables and figures. QT supervised the work and acquired funding. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China for Young Scientists (81800986 to&#x20;QT).</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The reviewer JZ declared a shared affiliation with several of the authors JZ, JW, QT to the handling editor at the time of the review.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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