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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1777437</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Perspective</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Chrono-immunotherapy&#x2019;s current and future optimization strategies: immunotherapy timing in line with the circadian rhythm brings longer survival benefits</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Daiwei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3328933/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname><given-names>Zhanlin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Cui</surname><given-names>Huijuan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2021240/overview"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Hua</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Hai</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname><given-names>Xiaoyuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
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<aff id="aff1"><label>1</label><institution>Department of Traditional Chinese Medicine, Organization The First Affiliated Hospital of Hebei North University</institution>, <city>Zhangjiakou</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Hebei Key Laboratory of Pathogenic Mechanisms and Diagnosis &amp; Treatment Technologies for Lung Microbiome, Organization The First Affiliated Hospital of Hebei North University</institution>, <city>Zhangjiakou</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Integrated Traditional Chinese and Western Medicine Oncology, China-Japan Friendship Hospital</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Respiratory Internal Medicine III, Zhangjiakou First Hospital</institution>, <city>Zhangjiakou</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Oncology, Zhangjiakou First Hospital</institution>, <city>Zhangjiakou</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Zhanlin Li, <email xlink:href="mailto:zjklzl@sohu.com">zjklzl@sohu.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-16">
<day>16</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1777437</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>23</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Liu, Li, Cui, Zhang, Li and Wu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Liu, Li, Cui, Zhang, Li and Wu</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-16">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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 terms.</license-p>
</license>
</permissions>
<abstract>
<p>Immune checkpoint inhibitors (ICIs) have revolutionized the treatment landscape for malignant tumors such as advanced lung cancer, but their efficacy is limited. In recent years, the circadian rhythm has provided a brand-new optimization strategy for immunotherapy. This perspective article aims to explore the potential mechanisms of the interaction between immunotherapy and circadian rhythms, reviews clinical evidence supporting that &#x201c;time-of-day receipt of ICIs brings better therapeutic effects&#x201d;, and conduct an in-depth analysis of the current practical challenges of chrono-immunotherapy. And emphasize the potential of &#x201c;chrono-immunotherapy&#x201d; as a valuable therapeutic approach.</p>
</abstract>
<kwd-group>
<kwd>chrono-immunotherapy</kwd>
<kwd>efficacy</kwd>
<kwd>immunotherapy</kwd>
<kwd>the circadian rhythm</kwd>
<kwd>tumors</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research was supported by Noncommunicable Chronic Diseases-National Science and 252 Technology Major Project : Study on Intervention Strategies of Traditional Chinese Medicine 253 Combined with PD-1/PD-L1 Inhibitors to Enhance Clinical Efficacy in Advanced Lung 254 Cancer (NO.2023ZD0502500) and Hebei Province Clinical Excellent Talents Project (ZF2025273) 255 and Hebei Administration of Traditional Chinese Medicine (2021186).</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="97"/>
<page-count count="8"/>
<word-count count="3050"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>We are currently witnessing a transformation in cancer treatment due to the advent of immunotherapy (<xref ref-type="bibr" rid="B1">1</xref>). Global cancer statistics indicate that the incidence and mortality rates of lung cancer remain alarmingly high, presenting a substantial public health challenge (<xref ref-type="bibr" rid="B2">2</xref>). Immune checkpoint inhibitors (ICIs), particularly those targeting the PD-1/PD-L1 pathway,have emerged as the standard first-line treatment for lung cancer patients without driver mutations.Nevertheless, clinicians and researchers must confront a pressing issue:despite the promise of immunotherapy for long-term survival, response rates remain limited, and both primary and secondary resistance are common (<xref ref-type="bibr" rid="B3">3</xref>). Furthermore, the efficacy of these treatments appears to have reached a plateau. We urgently need to precisely screen out the beneficiaries and maximize their therapeutic effects.</p>
<p>In this context, we have focused that the circadian rhythm system serves as the body&#x2019;s endogenous time regulator. From microorganisms to humans, almost all living beings have evolved biological clocks with a cycle of approximately 24 hours, enabling them to predict and adapt to environmental changes between day and night (<xref ref-type="bibr" rid="B4">4</xref>). Increasing evidence suggests that nearly every facet of the immune system (<xref ref-type="bibr" rid="B5">5</xref>), including lymphocyte development, migration, and effector function, is intricately regulated by core clock genes (<xref ref-type="bibr" rid="B6">6</xref>). The administration time may be an important factor in determining the efficacy and toxicity of anti-cancer drugs (<xref ref-type="bibr" rid="B7">7</xref>). According to the latest assessment from CANCERS discovery (<xref ref-type="bibr" rid="B8">8</xref>), aligning the timing of ICIs administration with the body&#x2019;s inherent circadian rhythm may be the key to breaking through the current efficacy limitations (<xref ref-type="bibr" rid="B9">9</xref>). Therefore, we propose the new research direction of chrono-immunotherapy, which focus the role of chronotherapy in ICIs efficacy.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Mechanism</title>
<p>The exploration of pathophysiological basis of the immune circadian rhythm can initially clarify the mechanism by which the timing of drug administration affects the efficacy of immunotherapy (<xref ref-type="bibr" rid="B10">10</xref>). This is not a simple summary that &#x201c;immunity is stronger in the morning&#x201d;, but rather involves a complex and coordinated process of immune cell recruitment and activation regulated by the circadian rhythm (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>At the molecular level, core clock genes (CLOCK, BMAL1, Per, Cry) function independently within nearly all immune cells via transcription-translation feedback loops (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). These clock genes regulate cellular metabolism and functional status (<xref ref-type="bibr" rid="B14">14</xref>), while also directly overseeing essential molecules involved in the immune response (<xref ref-type="bibr" rid="B15">15</xref>). At the same time, immune cells themselves can also express core clock genes such as BMAL1 (<xref ref-type="bibr" rid="B16">16</xref>). Research conducted by Xinyue Guo et&#xa0;al. demonstrated that morning administration could upregulate the expression of BMAL1 and PER2 in mice while inhibiting PD-L1, which significantly reduced tumor burden (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Studies have demonstrated that the migration, activation and differentiation of T cells (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>), along with the expression of the costimulatory molecule CD28, exhibit significant diurnal variations (<xref ref-type="bibr" rid="B19">19</xref>). The uptake, processing and presentation of antigens by dendritic cells(DCs) (<xref ref-type="bibr" rid="B20">20</xref>) are regulated by the biological clock (<xref ref-type="bibr" rid="B21">21</xref>). The timing of DCs migration to lymph nodes aligns with the peak period of T cell response (<xref ref-type="bibr" rid="B22">22</xref>), thereby enhancing the immune response (<xref ref-type="bibr" rid="B23">23</xref>). Administering ICIs when the immune system is most &#x201c;alert&#x201d; can alleviate T cell inhibition and elicit a more robust and sustained anti-tumor response (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Moreover, the circadian rhythm of the tumor microenvironment plays a significant role. Tumor-associated macrophages(TAM) (<xref ref-type="bibr" rid="B25">25</xref>) and myeloid-derived suppressor cells(MDSCs)that express PD-L1 exhibit alignment with the circadian rhythm (<xref ref-type="bibr" rid="B26">26</xref>). Additionally,tumor vascular permeability (<xref ref-type="bibr" rid="B10">10</xref>), cytokines levels (<xref ref-type="bibr" rid="B27">27</xref>), gut microbiota composition (<xref ref-type="bibr" rid="B28">28</xref>), and the expression of immunosuppressive receptors (<xref ref-type="bibr" rid="B29">29</xref>) demonstrate periodic fluctuations. These dynamics result in increased immune cell infiltration during the daytime period (<xref ref-type="bibr" rid="B30">30</xref>), facilitating a transition of the tumor microenvironment from an immunosuppressed state to one that permits immune activity (<xref ref-type="bibr" rid="B30">30</xref>), thereby enhancing the therapeutic efficacy of ICIs.</p>
<p>Cutting-edge research has elucidated the mechanisms underlying the influence of administration timing.During the sleep period of mice (<xref ref-type="bibr" rid="B31">31</xref>), which corresponds to nighttime in humans,macrophage activity in the sinus cavity of lymphoid organs is at its peak for phagocytosing and clearing antibodies.Consequently, ICIs administered in the afternoon or evening are more likely to be non-specifically eliminated by these cells (<xref ref-type="bibr" rid="B32">32</xref>), resulting in a diminished effective drug concentration at the tumor site and reduced binding to T cells (<xref ref-type="bibr" rid="B33">33</xref>). In contrast, early morning infusion of ICIs occurs when the inhibitory function of regulatory T cells (Tregs) in peripheral blood is relatively low. This timing enhances the T-cell-mediated immune response and promotes T-cell receptor (TCR) production, thereby strengthening the anti-tumor effect.</p>
<p>Collectively, nearly all aspects of the immune response, encompassing both innate and adaptive mechanisms, exhibit circadian rhythms (<xref ref-type="bibr" rid="B34">34</xref>). The efficacy of immunotherapy relies on the precise orchestration of a series of events: antigen presentation (<xref ref-type="bibr" rid="B35">35</xref>), T cell activation, migration, infiltration, and cytotoxic activity (<xref ref-type="bibr" rid="B36">36</xref>). Each component of this sequence adheres to a circadian rhythm. Therefore, the intervention of ICIs therapy at the appropriate circadian time could theoretically enhance both the intensity and quality of the immune response (<xref ref-type="bibr" rid="B37">37</xref>).</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Current situation</title>
<p>We included the evidence from retrospective studies and randomized controlled trials (RCTs) on the relationship between the efficacy of ICIs and the duration of administration.</p>
<p>Multiple retrospective studies have provided preliminary butevidence yet that remains to be validated.The earliest investigation demonstrated that the administration of immune checkpoint inhibitors at specific time points significantly influenced the overall survival rate of patients with advanced melanoma (<xref ref-type="bibr" rid="B38">38</xref>), indicating the potential of chronotherapy. Multiple analyses of advanced NSCLC patients undergoing ICIs monotherapy consistently revealed that those treated in the morning (typically defined as before 11:30) exhibited statistically significant improvements in objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) compared to patients treated in the afternoon (<xref ref-type="bibr" rid="B39">39</xref>). This correlation has been observed across various types of ICIs (anti-PD-1/PD-L1) and different cancer types, including metastatic melanoma (<xref ref-type="bibr" rid="B40">40</xref>), lung cancer (<xref ref-type="bibr" rid="B41">41</xref>), kidney cancer (<xref ref-type="bibr" rid="B42">42</xref>), urothelial cancer (<xref ref-type="bibr" rid="B43">43</xref>), Head and neck cancer (<xref ref-type="bibr" rid="B44">44</xref>), esophageal cancer (<xref ref-type="bibr" rid="B45">45</xref>), gastric cancer (<xref ref-type="bibr" rid="B46">46</xref>), and liver cancer (<xref ref-type="bibr" rid="B47">47</xref>), suggesting the possibility of a universal phenomenon (<xref ref-type="bibr" rid="B37">37</xref>). These real-world research studys have, for the first time, closely linked the circadian rhythm theory in the laboratory to the long-term survival outcomes of patients.</p>
<p>Retrospective studies have limitations due to potential influences on the timing of administration,such as clinical workflow, highlighting the necessity for prospective randomized controlled trials (RCTs) to confirm this hypothesis. Currently, several phase I and II RCTs are underway to systematically compare the efficacy of ICIs when administered in the morning versus the afternoon in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. These trials have implemented a standardized dosing schedule and incorporated analysis of biomarkers and core clock genes.They initially explored and found that the CD8+T cell activity was better in the early-stage dosing group (<xref ref-type="bibr" rid="B48">48</xref>), aiming to elucidate differences in efficacy and potential molecular mechanisms.While the results of these prospective studies are pending, the commencement of such investigations signifies a transition in cancer treatment emphasis from focusing solely on &#x201c;what to administer&#x201d; to also considering &#x201c;when to administer.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Multiple phase I and II RCTs are ongoing to systematically compare the impact of morning versus afternoon administration on ICIs efficacy.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Identifier</th>
<th valign="middle" align="left">Study type</th>
<th valign="middle" align="left">Agent</th>
<th valign="middle" align="left">Tumor type</th>
<th valign="middle" align="left">Grouping conditions</th>
<th valign="middle" align="left">Outcome measures</th>
<th valign="middle" align="left">Recruitment status</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">NCT07155317</td>
<td valign="middle" align="left">II trial</td>
<td valign="middle" align="left">Ipilimumab and Nivolumab</td>
<td valign="middle" align="left">Unresectable Melanoma</td>
<td valign="middle" align="left">8:00-11:00;11:00-14:00;14:00-17:00</td>
<td valign="middle" align="left">PFS;AEs&#x3001;MSS&#x3001;OS&#x3001;QOL</td>
<td valign="middle" align="left">Not yet recruiting</td>
</tr>
<tr>
<td valign="middle" align="left">NCT06882174</td>
<td valign="middle" align="left">I trial</td>
<td valign="middle" align="left">Pembrolizumab</td>
<td valign="middle" align="left">NSCLC</td>
<td valign="middle" align="left">8:00-10:00;10:00-12;00&#x3001;12:01-14:00&#x3001;14:01-17:00</td>
<td valign="middle" align="left">PFS</td>
<td valign="middle" align="left">Not yet recruiting</td>
</tr>
<tr>
<td valign="middle" align="left">NCT06294678</td>
<td valign="middle" align="left">I trial</td>
<td valign="middle" align="left">Stem Cell</td>
<td valign="middle" align="left">Hematological Malignancies</td>
<td valign="middle" align="left">11:30-12:30;17:30-18:30</td>
<td valign="middle" align="left">The incidence of grade II to IV aGVHD</td>
<td valign="middle" align="left">Recruiting</td>
</tr>
<tr>
<td valign="middle" align="left">NCT05549037</td>
<td valign="middle" align="left">I trial</td>
<td valign="middle" align="left">Chemotherapy plus pembrolizumab or sitilimab</td>
<td valign="middle" align="left">NSCLC</td>
<td valign="middle" align="left">before 15:00;after 15:00</td>
<td valign="middle" align="left">PFS;ORR&#x3001;OS&#x3001;DoR</td>
<td valign="middle" align="left">Recruiting</td>
</tr>
<tr>
<td valign="middle" align="left">NCT04122456</td>
<td valign="middle" align="left">I trial</td>
<td valign="middle" align="left">Exposed to UVB radiation</td>
<td valign="middle" align="left">Day or night shift workers</td>
<td valign="middle" align="left">8:00;16:00</td>
<td valign="middle" align="left">Level of the DNA repair factor XPA;core clock genes</td>
<td valign="middle" align="left">Recruiting</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Significant differences exist in the time threshold (ToD) settings across the aforementioned studies. Various studies have employed distinct time thresholds to delineate &#x201c;morning&#x201d; and &#x201c;afternoon,&#x201d; ranging from 11:30 a.m. to 4:30 p.m. The fundamental methodological issue arises from the application of a uniform social clock time to segment the administration period, thereby neglecting individual variations in biological clock times (<xref ref-type="bibr" rid="B49">49</xref>). This discrepancy in the definition of TOD represents a systematic measurement error (<xref ref-type="bibr" rid="B50">50</xref>). In epidemiological studies, it often results in the dilution of effect estimates, complicating the replication and direct comparison of results (<xref ref-type="bibr" rid="B51">51</xref>). This issue significantly impedes meta-analysis and the exploration of underlying mechanisms. Consequently, future research should meticulously document administration times and gather individual circadian covariates to facilitate the transition from descriptive phenomena to precise immunotherapy informed by the biological clock.</p>
</sec>
<sec id="s4">
<label>4</label>
<title>Challenge</title>
<p>Although clinical trials have provided strong evidence, the translation of &#x201c;Chrono-immunotherapy&#x201d; into clinical practice faces many significant challenges.</p>
<p>Medical institutions typically manage a substantial volume of patients seeking treatment (<xref ref-type="bibr" rid="B52">52</xref>) and the infusion appointment system is inherently complex (<xref ref-type="bibr" rid="B53">53</xref>). Requiring all patients to receive treatment within the morning time window would disrupt the existing framework for medical resource allocation and could result in delayed care for some individuals. Although patients may be admitted to the hospital one day in advance, scheduling treatment for the following day would inevitably impose a substantial burden on those living in remote areas or those with limited mobility (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Many workflows of hospitals and clinics has been formed through decades of practice. Modifying administration times necessitates the reorganization of various components, including nurse scheduling, pharmacy drug preparation, and outpatient procedures (<xref ref-type="bibr" rid="B54">54</xref>). This process demands coordinated collaboration hroughout the entire medical system. The costs associated with such changes are substantial, and they may encounter resistance due to systemic inertia.</p>
<p>&#x201c;Morning&#x201d; represents a social time, construct rather than a biological one (<xref ref-type="bibr" rid="B55">55</xref>). A clear distinction exists between &#x201c;morning-type individuals&#x201d; and &#x201c;night-type individuals&#x201d; within the population (<xref ref-type="bibr" rid="B56">56</xref>). For instance, a &#x201c;night-type individual&#x201d; who retires at 2 a.m. and awakens at 10 a.m. may experience peak immune system activity at a time that does not align with the socially defined &#x201c;morning&#x201d; (<xref ref-type="bibr" rid="B57">57</xref>). Studies have shown that the circadian rhythms of shift workers and individuals who cross multiple time zones are disrupted, leading to imbalances in endocrine factors such as growth hormone, prolactin, thyroid hormone, cortisol, and gonadal steroids (<xref ref-type="bibr" rid="B58">58</xref>). This can result in the loss of rhythmic fluctuations in IL-12 and IL-10, thereby affecting the occurrence, progression, and treatment of cancer (<xref ref-type="bibr" rid="B59">59</xref>). Sleep dysregulation may elevate levels of pro-inflammatory cytokines (e.g., TNF-&#x3b1;), hindering the effectiveness of ICIs (<xref ref-type="bibr" rid="B60">60</xref>) and triggering excessive production of Th1 and Th2 cell-derived cytokines, causing immune system dysfunction (<xref ref-type="bibr" rid="B61">61</xref>). These challenges complicate the determination of the optimal universal treatment timing. Temporal variation and circadian rhythm disorders in cancer patients complicate the determination of optimal treatment timing. Research indicates that cancer patients exhibit distinct characteristics, including reduced amplitude of melatonin secretion (<xref ref-type="bibr" rid="B62">62</xref>), cancer patients loss of cortisol rhythm (<xref ref-type="bibr" rid="B63">63</xref>), and phase disorders in the oscillations of core clock gene expression (<xref ref-type="bibr" rid="B64">64</xref>). Furthermore, circadian rhythm disorders are prevalent among patients with advanced cancer and are closely associated with symptom burden, quality of life, disease progression, and survival rates (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>). Consequently, the biological clock state of cancer patients markedly differs from that of healthy individuals.This poses significant difficulties for us in defining a universally applicable &#x201c;optimal dosing time&#x201d;.</p>
<p>Circadian rhythms not only influence therapeutic efficacy but may also impact the incidence and severity of immune-related adverse events (irAEs). Currently, several studies indicate that the overall incidence of toxicity in the early treatment group is relatively high (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>), including skin toxicity and fatigue (<xref ref-type="bibr" rid="B69">69</xref>), while no cases of discontinuation of ICIs due to irAEs have been reported (<xref ref-type="bibr" rid="B40">40</xref>). Research indicates a gender disparity in the incidence of toxic events, with women experiencing higher rates than men (<xref ref-type="bibr" rid="B67">67</xref>). Conversely, some reports suggest that early treatment enhances therapeutic efficacy without leading to a difference in adverse reactions (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Consequently, it remains uncertain whether administering treatment in morning will concurrently improve efficacy and toxicity.</p>
<p>The relationship between the efficacy and toxicity of ICIs remains an active area of research. Studies have demonstrated a degree of synchrony between these two factors in the context of circadian rhythms (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>); however, adverse reactions do not consistently correlate with therapeutic outcomes (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Current investigations indicate that irAEs are linked to inflammatory responses (<xref ref-type="bibr" rid="B70">70</xref>), often characterized by abnormal elevations in cytokines such as IL-6 and TNF-&#x3b1; (<xref ref-type="bibr" rid="B71">71</xref>). Inflammation can inhibit the expression of core clock genes (<xref ref-type="bibr" rid="B72">72</xref>), upregulate the levels of cytokines, cause circadian rhythm disorders, further aggravate the inflammatory response, and thereby exacerbate irAEs (<xref ref-type="bibr" rid="B73">73</xref>). These findings initially suggest that precisely adjusting the administration time of ICIs may enhance the anti-tumor immune response while reducing the risk of irAEs. It is necessary to further verify these hypotheses through large-scale RCTs.</p>
<p>In clinical practice, immune checkpoint inhibitors are frequently administered in conjunction with chemotherapy (<xref ref-type="bibr" rid="B74">74</xref>), anti-vascular targeted agents (<xref ref-type="bibr" rid="B75">75</xref>), and radiotherapy (<xref ref-type="bibr" rid="B76">76</xref>). Circadian rhythms have different effects on each treatment (<xref ref-type="bibr" rid="B77">77</xref>&#x2013;<xref ref-type="bibr" rid="B79">79</xref>). Therefore, the selection the optimal timing for administering combine treatments presents significant challenges, highlighting the need for more rigorous trials to validate these approaches.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Future</title>
<p>In addressing current challenges, our future research direction should not be simply and rigidly scheduling all patients&#x2019; treatments in the morning (<xref ref-type="bibr" rid="B8">8</xref>). Rather, we should utilize new technologies to precisely screen advantageous patients, provide individualized treatment advantageous times through wearable sensors and intelligent systems, and take multiple measures to actively regulate patients&#x2019; circadian rhythms to enhance ICIs efficacy.Further promote the entry of immunotherapy into a highly personalized &#x201c;chrono-immunotherapy&#x201d; era (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Analyze the characteristic molecular typing and biomarkers of the circadian rhythm of immune cells through single-cell sequencing; Monitor the individualized immune circadian rhythm of patients using wearable rhythm sensors; Develop an intelligent drug delivery systems and adaptive clinical trials to output personalized immune administration times.;By taking multiple measures to intervene and optimize the circadian rhythm of patients, the therapeutic effect of ICIs treatment can ultimately be improved.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1777437-g001.tif">
<alt-text content-type="machine-generated">Circular infographic with four quadrants describing strategies for circadian rhythm intervention: sleep-wake cycles, feeding regimen, and melatonin for optimization; biomarker molecular typing; wearable rhythm sensors like ECG, pulse oximetry, and body temperature during exercise; and intelligent drug delivery systems with automated, wireless technology and machine learning for adaptive clinical trials, illustrated with related icons and diagrams.</alt-text>
</graphic></fig>
<p>It is essential to identify biomarkers that accurately reflect an individual&#x2019;s immune rhythmic state. This process involves detecting core clock genes (<xref ref-type="bibr" rid="B80">80</xref>)&#x3001;immune cell subsets (<xref ref-type="bibr" rid="B81">81</xref>) and cytokine levels (<xref ref-type="bibr" rid="B82">82</xref>) in peripheral blood of patients receiving ICIs treatment at designated time points, identifying key immune cell subsets that are positively or negatively correlated with the efficacy of ICIs,as well as analyzing the rhythmic gene expression profiles of immune cells through single-cell sequencing (<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B84">84</xref>). By combining tumor genomics for fine classification, we may be able to define &#x201c;circadian rhythmically sensitive&#x201d; and &#x201c;circadian rhythmically insensitive&#x201d; tumors (<xref ref-type="bibr" rid="B83">83</xref>), achieving more precise classification at a deeper level.</p>
<p>Based on the above molecular typing, by using utilize genomic (<xref ref-type="bibr" rid="B85">85</xref>) and physiological data, including melatonin levels (<xref ref-type="bibr" rid="B38">38</xref>), combined with the molecular typing information related to circadian rhythms obtained from single-cell sequencing (<xref ref-type="bibr" rid="B86">86</xref>), and through machine learning or deep learning models (<xref ref-type="bibr" rid="B87">87</xref>), it can identify the individualized circadian rhythm characteristics of different patients and predict their optimal response time window to ICIs treatment.In the future, key instruments may include smartwatches worn on patients&#x2019; wrists or multisensory wearable technology (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B88">88</xref>). These devices are capable of continuously and non-invasively monitoring rhythm-related physiological parameters, such as rest and activity cycles, heart rate variability, and skin temperature, thereby creating a unique and dynamic &#x201c;intrinsic biological clock map&#x201d; for each individual (<xref ref-type="bibr" rid="B45">45</xref>). Consequently, treatment decisions will transition from reliance on standard clock time to alignment with the patient&#x2019;s specific biological rhythm phase (<xref ref-type="bibr" rid="B89">89</xref>).</p>
<p>Based on the data from wearable devices (<xref ref-type="bibr" rid="B90">90</xref>), intelligent clinical decision support systems can be developed (<xref ref-type="bibr" rid="B91">91</xref>). These systems can calculate the specific circadian rhythm phase with the highest immune system activity or the greatest sensitivity of tumor cells to ICIs for each patient (<xref ref-type="bibr" rid="B89">89</xref>), and recommend personalized optimal drug delivery Windows (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B92">92</xref>). Future clinical trial designs are expected to exhibit greater flexibility by adopting &#x201c;basket&#x201d; or &#x201c;umbrella&#x201d; frameworks (<xref ref-type="bibr" rid="B93">93</xref>), which incorporate rhythm states as stratification factors, and allow for dynamic adjustments to treatment plans.</p>
<p>In addition to adjusting the administration times, proactive interventions can optimize the patient&#x2019;s circadian rhythm to enhance the therapeutic efficacy of ICIs. Research shows that This approach involves intervention measures such as timed light therapy (<xref ref-type="bibr" rid="B94">94</xref>), melatonin supplementation (<xref ref-type="bibr" rid="B95">95</xref>), time-restricted eating (TRE) (<xref ref-type="bibr" rid="B96">96</xref>) and cognitive behavioral therapy (<xref ref-type="bibr" rid="B95">95</xref>, <xref ref-type="bibr" rid="B97">97</xref>). These measures can rectify circadian rhythm disorders, improve overall physiological conditions and enhance immune function.By fostering a more favorable internal environment for ICIs treatment, these strategies may ultimately improve therapeutic outcomes for cancer patients undergoing immunotherapy (<xref ref-type="bibr" rid="B73">73</xref>).</p>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusion</title>
<p>Emerging evidence has begun to illuminate the scientific rationale and clinical promise of aligning ICIs administration with circadian rhythm to augment therapeutic efficacy. Our analysis further suggests that morningdosing&#x2014;,when immune surveillance mechanisms naturally peak &#x2014;may confer survival benefits in patients with advanced malignancies. This finding that converges with well-documented diurnal oscillations in immune cell dynamics and effector function. A key innovation of this chronotherapeutic approach lies in its paradigm shift from a static, lesion-centric focus to a dynamic, time-aware strategy, thereby establishing &#x201c;chrono-immunotherapy&#x201d;as a novel frontier in precision oncology.</p>
<p>While challenges remain,including healthcare system adaptability, interindividual variability in circadian profiles, and the temporal coordination of combination regimens, the &#x201c;chrono-immunotherapy&#x201d; represents a compelling avenue to advance toward more dynamic and precise immune-based cancer care. Future RCT studies will be critical to validate optimal timing windows, technological innovations will help critical to validate optimal timing windows, dissect the biological underpinnings of immune circadian rhythm, and targeted circadian interventions will be explored to further enhance immunotherapy outcomes. Ultimately, by synchronizing ICIs delivery with the patient&#x2019;s endogenous biological clock, we aim to realize a new era of dynamic,personalized cancer immunotherapy.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>DL: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. ZL: Conceptualization, Writing &#x2013; review &amp; editing. HC: Supervision, Writing &#x2013; review &amp; editing. HZ: Methodology, Writing &#x2013; original draft. HL: Methodology, Writing &#x2013; original draft. XW: Resources, Writing &#x2013; original draft.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>This is a short text to acknowledge the contributions of specific colleagues, institutions, or agencies that aided the efforts of the authors.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" sec-type="disclaimer">
<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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