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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1518278</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The effect of Time-Acupoints-Space Acupuncture on fatigue in postoperative chemotherapy patients with breast cancer: a randomized controlled trial</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1876212"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zuo</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2136847"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Liangxian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bao</surname>
<given-names>Xiongying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Ran</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yinghao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Lingling</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhu</surname>
<given-names>Miansheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>First Clinical Medical College, Yunnan University of Chinese Medicine</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Medical College, Qinghai University</institution>, <addr-line>Xining</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>ARIATAS, Association Pour la Recherche et I&#x2019;Information de I&#x2019;Acupuncture Time-Acupoints-Space, College of Acupuncture</institution>, <addr-line>Paris</addr-line>, <country>France</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Second Department of Acupuncture and Moxibustion, Dali Bai Autonomous Prefecture Chinese Medicine Hospital</institution>, <addr-line>Dali</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Xu Zhai, China Academy of Chinese Medical Sciences, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: James David Adams, Independent Researcher, Benicia, United States</p>
<p>Eric Chun-Pu Chu, EC Healthcare, Hong Kong SAR, China</p>
<p>Tiancheng Xu, Nanjing University of Chinese Medicine, China</p>
<p>Xiaoqing Wu, China Academy of Chinese Medical Sciences, China</p>
<p>Chenyang Ji, University of Malaya, Malaysia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Miansheng Zhu, <email xlink:href="mailto:zhumiansheng@yeah.net">zhumiansheng@yeah.net</email>; Yan Wang, <email xlink:href="mailto:13887212069@163.com">13887212069@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;These authors share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1518278</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Chen, Zuo, Li, Liu, Bao, Song, Wang, Wang, Zhu and Wang</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Chen, Zuo, Li, Liu, Bao, Song, Wang, Wang, Zhu and Wang</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 terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Breast cancer (BC) is a common malignant tumor in women, and cancer-related fatigue (CRF) is prevalent among breast cancer patients. Time-Acupoints-Space Acupuncture (ATAS) is an acupuncture method different from traditional acupuncture. It combines time acupoints with space acupoints, proposing a new treatment approach. This randomized controlled trial aims to evaluate whether ATAS can improve fatigue in postoperative chemotherapy patients with breast cancer.</p>
</sec>
<sec>
<title>Objective</title>
<p>This randomized controlled trial focuses on survivors of postoperative chemotherapy for breast cancer, primarily assessing whether ATAS can reduce fatigue in these patients. Additionally, it reports on the effects of ATAS on sleep, anxiety, depression, and inflammatory factors.</p>
</sec>
<sec>
<title>Methods</title>
<p>The researchers randomly assigned 90 postoperative breast cancer patients to the ATAS group (n=30), the sham acupuncture group (n=30), and the waitlist control group (n=30). The primary outcome was the Piper Fatigue Scale (PFS), and the secondary outcomes were the Insomnia Severity Index (ISI), Hospital Anxiety and Depression Scale (HADS), Interleukin-2 (IL-2), Interleukin-6 (IL-6), CD3<sup>+</sup>T, and CD4<sup>+</sup>T. Data analysis was performed using the statistical software SPSS, utilizing descriptive statistics and analytic statistics. The significance level was set at less than 0.05.</p>
</sec>
<sec>
<title>Results</title>
<p>The baseline differences in PFS scores among the three groups were not statistically significant (<italic>P</italic> &gt; 0.05). ATAS treatment is superior to sham acupuncture and the waitlist control in improving fatigue (mean difference 4.98, 95% CI 3.96 to 6.00, <italic>P</italic>&lt;0.05). Additionally, secondary outcome analysis shows that the ATAS group has positive effects on ISI, HADS, and inflammatory factors. After the treatment ended, ISI (mean difference 15.17, 95% CI 12.28 to 18.06, <italic>P</italic>&lt;0.05), HADS-A (mean difference 8.63, 95% CI 5.18 to 12.08, <italic>P</italic>&lt;0.05), HADS-D (mean difference 7.80, 95% CI 4.73 to 10.87, <italic>P</italic>&lt;0.05). IL-2(mean difference 20.18, 95% CI 11.51 to 28.85, <italic>P</italic>&lt;0.05), IL-6(mean difference 24.56, 95% CI 7.57 to 41.55, <italic>P</italic>&lt;0.05), CD3<sup>+</sup>T(mean difference 79.03, 95% CI 68.56 to 89.50, <italic>P</italic>&lt;0.05), CD4<sup>+</sup>T(mean difference 42.89, 95% CI 35.14 to 50.64, <italic>P</italic>&lt;0.05).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Our preliminary findings indicate that ATAS effectively improves fatigue in postoperative chemotherapy patients with breast cancer. It also has positive effects on sleep, anxiety, depression, and inflammatory factors. These results suggest that ATAS intervention may be an effective method for alleviating fatigue in breast cancer patients.</p>
</sec>
<sec>
<title>Clinical Trial Registration</title>
<p>
<uri xlink:href="https://www.chictr.org.cn/showproj.html?proj=21999">https://www.chictr.org.cn/showproj.html?proj=21999</uri>, identifier ChiCTR17013652.</p>
</sec>
</abstract>
<kwd-group>
<kwd>time-acupoints-space acupuncture (ATAS)</kwd>
<kwd>acupuncture</kwd>
<kwd>breast cancer</kwd>
<kwd>fatigue</kwd>
<kwd>PiPer fatigue scale (PFS)</kwd>
<kwd>inflammatory factors</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="13"/>
<word-count count="6653"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Breast Cancer</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Breast cancer (BC) is a common malignant tumor worldwide and a leading cause of cancer-related deaths among women, posing a serious threat to women&#x2019;s health. According to a 2020 epidemiological survey, breast cancer has become the most prevalent cancer worldwide, ranking first in incidence among cancers in 185 countries. The number of new cases reached 2.3 million, accounting for 11.7% of the total cancer incidence, with a mortality rate of 6.9%, resulting in more than 685,000 deaths. It is worth noting that in developing countries, the mortality rate of breast cancer is higher than in developed countries (<xref ref-type="bibr" rid="B1">1</xref>). In 2022, the World Health Organization, through the International Agency for Research on Cancer, reported that in China, the incidence of breast cancer among cancers was as high as 7.4%, with a mortality rate of 2.9%. It ranks second among cancers in women, with patients comprising 14.9% of female cancer cases (<xref ref-type="bibr" rid="B2">2</xref>). According to the National Cancer Center (NCC) of China, in 2022, breast cancer ranked second among the most common cancers in Chinese women, with 357,200 new cases. It was the fifth leading cause of cancer-related deaths in women (<xref ref-type="bibr" rid="B3">3</xref>). It is evident that, over time, the burden of breast cancer in China has become increasingly severe.</p>
<p>Clinically, breast cancer treatment methods include surgery, radiotherapy, chemotherapy, endocrine therapy, and targeted therapy. However, these treatment methods can bring a series of side effects, such as pain, vomiting, and sleep disturbances. Due to the effects of breast cancer itself and various treatment-related side effects, CRF (cancer-related fatigue) has become one of the common burdens of breast cancer (<xref ref-type="bibr" rid="B4">4</xref>). In 2019, the U.S. Food and Drug Administration (FDA) stated that adverse drug reactions are a significant component of patient-centered health-related quality of life (HRQOL) and patient-reported outcomes (PRO) (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). These adverse reactions not only increase the treatment burden on patients but also reduce treatment adherence and may even indirectly increase the mortality risk for breast cancer patients (<xref ref-type="bibr" rid="B7">7</xref>). Over the past decade, through the large-scale integration of genomic and transcriptomic data, as well as multidimensional combinations of single-cell and spatial technologies (<xref ref-type="bibr" rid="B8">8</xref>), we have gained a deeper understanding of the biological mechanisms of breast cancer. This has led to improved treatment strategies, increased patient survival rates, and a higher number of long-term survivors. However, the degree of fatigue experienced during and after treatment still far exceeds that of pain (<xref ref-type="bibr" rid="B9">9</xref>). About 33% of breast cancer patients will experience moderate to severe fatigue, which can persist for months or even years. Unlike ordinary fatigue, CRF is a physical, emotional, and cognitive exhaustion that cannot be relieved by rest. It can even develop into a chronic condition, affecting breast cancer patients&#x2019; ability to complete treatment, recover, and achieve a satisfactory quality of life and survival (<xref ref-type="bibr" rid="B10">10</xref>). Ultimately, it impacts their overall lifespan.</p>
<p>Therefore, preventing and effectively treating CRF remains a significant challenge. Historically, acupuncture has not been used to cure cancer itself, but to alleviate the side effects that arise during cancer treatment (<xref ref-type="bibr" rid="B11">11</xref>). A clinical practice guideline indicates that acupuncture has been proven effective in alleviating nausea, vomiting, pain, musculoskeletal disorders, hot flashes, fatigue, stress, anxiety, and sleep disturbances induced by chemotherapy (<xref ref-type="bibr" rid="B12">12</xref>). Clinical studies have also found that acupuncture can reduce CRF in breast cancer patients (<xref ref-type="bibr" rid="B13">13</xref>), improve sleep quality (<xref ref-type="bibr" rid="B14">14</xref>), alleviate anxiety and depression (<xref ref-type="bibr" rid="B15">15</xref>), relieve hot flashes (<xref ref-type="bibr" rid="B16">16</xref>), and enhance patients&#x2019; quality of life (<xref ref-type="bibr" rid="B13">13</xref>). At the same time, an increasing number of systematic reviews indicate that acupuncture has positive effects on a range of symptoms experienced by breast cancer survivors (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). In a 2017 consensus statement, the National Cancer Institute (NCI) mentioned that the current clinical applications of acupuncture in oncology primarily focus on single symptoms or conditions. Future research directions for acupuncture include studies on common symptom clusters, such as pain, sleep disturbances, fatigue, and psychological distress (<xref ref-type="bibr" rid="B21">21</xref>). ATAS is a new treatment method proposed by Professor Miansheng Zhu, based on the application of four traditional time acupuncture methods and the&#xa0;incorporation of European medical cultural concepts. It explores the clinical efficacy of ATAS for cancer symptom clusters.</p>
<sec id="s1_1">
<title>Objectives</title>
<p>In this study, we focus on survivors of postoperative chemotherapy for breast cancer, specifically reporting on the impact of ATAS on fatigue in these patients. The aim is to assist and guide breast cancer survivors suffering from fatigue and to explore whether ATAS is more effective in reducing CRF with fewer side effects.</p>
</sec>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Trial design</title>
<p>In September 2017, a project discussion meeting involving breast cancer experts from China and France was organized in Kunming, Yunnan Province, China. Subsequently, leveraging the resources of Yunnan Cancer Hospital and with French precision medicine platform experts as contributors, a methodological design was developed based on the clinical characteristics of ATAS. The clinical trial protocol was completed, covering statistical foundations, efficacy evaluation methods, and implementation processes. The complete date of the first trial registration for this experiment was 11/12/2017. The research was approved by the Ethics Committee of Yunnan Cancer Hospital, approval number YJZ201705; Chinese Clinical Trial Registration number ChiCTR-IPR-17013652.All eligible participants signed informed consent forms before enrollment, and the trial was reported according to the Consolidated Standards of Reporting Trials (CONSORT) guidelines (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 1</bold>
</xref>).</p>
</sec>
<sec id="s2_2">
<title>Participants</title>
<p>All diagnoses were confirmed through pathological histology, mammography, and other examinations, following the diagnostic criteria for breast cancer outlined in the <italic>Guidelines and Norms for the Diagnosis and Treatment of Breast Cancer (2015 Edition)</italic> by the Chinese Anti-Cancer Association. Inclusion criteria: 1. Meeting the diagnostic criteria for breast cancer, having undergone breast cancer surgery, and with no evidence of distant metastasis; 2. Meeting the criteria for adjuvant chemotherapy; 3. Patients aged between 18 and 60 years; 4. KPS score of &#x2265;60. Exclusion criteria: 1. Known severe inflammation or metabolic disease; 2. Having received acupuncture treatment within the past 4 months; 3. Treated for cancer within five years prior to recruitment; 4. Mental disorders; 5. Patients with a fear of needles; 6. Skin disease at the acupuncture sites.</p>
</sec>
<sec id="s2_3">
<title>Calculation of sample size</title>
<p>The sample size was estimated using a superiority trial design with a 1:1:1 group ratio, and the sample size estimation formula is as follows: <inline-formula>
<mml:math display="inline" id="M1">
<mml:mrow>
<mml:mi>n</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>2</mml:mn>
<mml:mrow>
<mml:mo>[</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3bc;</mml:mi>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>&#x3b1;</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>&#x3bc;</mml:mi>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>&#x3b2;</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mi>s</mml:mi>
</mml:mrow>
<mml:mi>&#x3f5;</mml:mi>
</mml:mfrac>
</mml:mrow>
<mml:msup>
<mml:mo>]</mml:mo>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>.</p>
<p>In the above formula: n represents the sample size required for each group, &#x3b1; represents Type I error, &#x3b2; represents Type II error, 1-&#x3b2; represents power, s is the standard deviation, &#x3bc; is the population mean, &#x3bc;<sub>1</sub> -&#x3b1; and &#x3bc;<sub>1</sub> -<sub>&#x3b2;</sub> represent the one-sided critical values corresponding to 1-&#x3b1; and 1-&#x3b2;, and &#x3f5; is the effect size difference between the experimental group and the control group. Based on relevant literature and Professor Zhu Miansheng&#x2019;s previous experience in treating CRF, the improvement in the Space-time Acupuncture Linggui Bafa group was 1.45 points higher than that in the control and sham acupuncture groups, i.e., &#x3f5; = 1.45; the standard deviation for the three groups was assumed to be 2.0, i.e., s = 2.0. &#x3b1; = 0.025 (one-sided) and &#x3b2; = 0.2 were used. Substituting these parameters into the formula, 30 valid cases are required for each group. With a 1:1:1 parallel design for the three groups, a total of 90 valid cases need to be treated and followed up. Considering a dropout rate of no more than 20%, a total of 108 participants are required to be included.</p>
</sec>
<sec id="s2_4">
<title>Randomization and blinding</title>
<p>After participants provided consent and signed the informed consent form, we used stratified block randomization for group assignment. The 108 enrolled patients were stratified into three groups based on age (18-30 years, 31-60 years). In the first step of grouping, the patients were divided into 12 groups, each consisting of 9 participants, for a total of 108 subjects. Next, randomization was performed. Participants were sequentially numbered based on their order of visits. Starting from a specific position on the random number table, consecutive random numbers were selected and assigned to the corresponding groups: numbers 1-3 for group A (ATAS group), numbers 4-6 for group B (sham acupuncture group), and numbers 7-9 for group C (waitlist control group). Each group consisted of 36 participants, maintaining a 1:1:1 ratio. Due to the specific nature of acupuncture procedures, our study employed a single-blind design. Only the acupuncturists and the research coordinators who had no contact with the patients were aware of the random group assignments.</p>
</sec>
<sec id="s2_5">
<title>Recruitment and data collection</title>
<p>This study recruited participants from the breast cancer ward at Yunnan Cancer Hospital between March 2018 and December 2019. Recruitment was primarily conducted by the doctors and nurses in the ward. We contacted interested participants by phone to screen for eligibility based on the inclusion criteria. Eligible participants were provided with detailed information about the study. They voluntarily chose to participate or decline and were informed that they had the right to withdraw at any time without any impact on their treatment (<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>Enrolment, treatment, and follow-up.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1518278-g001.tif"/>
</fig>
</sec>
<sec id="s2_6">
<title>Intervention</title>
<sec id="s2_6_1">
<title>Adjuvant chemotherapy</title>
<p>The three groups of patients used chemotherapy as follows: Epirubicin and Cyclophosphamide followed by Paclitaxel (Epirubicin 90 mg/m<sup>2</sup> plus Cyclophosphamide 600 mg/m<sup>2</sup>, q3w x4, followed by Paclitaxel 175 mg/m<sup>2</sup>, q2w x4). Chemotherapy cycle: Chemotherapy was completed in one day. Each chemotherapy session was followed by a 3-week interval (21 days) before the next cycle, for a total of 4 cycles (12 weeks). Throughout the entire course of adjuvant chemotherapy, patients enrolled in this study&#x2014;except for those in the waitlist control group&#x2014;received one acupuncture treatment (ATAS or sham acupuncture) per week. In practice, if acupuncture and chemotherapy were scheduled on the same day, the acupuncture treatment was completed before the chemotherapy session. During weeks without chemotherapy, acupuncture was scheduled on the same weekday as in the chemotherapy weeks (e.g., if chemotherapy was on Friday, acupuncture was also scheduled for Friday during non-chemotherapy weeks).</p>
</sec>
<sec id="s2_6_2">
<title>ATAS</title>
<p>ATAS is a new acupuncture method that primarily consists of time acupoints and space acupoints. It employs specific implementation techniques and acupuncture sequences to achieve therapeutic effects for various diseases. ATAS consists of four systems: Space-time acupuncture Na Jia method, Space-time acupuncture Na Zi method, Space-time acupuncture Linggui Bafa, and Space-time acupuncture Feiteng Bafa (<xref ref-type="bibr" rid="B22">22</xref>). When applying ATAS, time acupoints are selected first, followed by the selection and manipulation of space acupoints.</p>
<p>This study focused on the use of the Space-time acupuncture Linggui Bafa. The time points mainly consist of the following four groups of acupoints: SP4 (Gongsun) and PC6 (Neiguan), LU7 (Lieque) and LI6 (Zhaohai), BL62 (Shenmai) and SI3 (Houxi), GB41 (Zulinqi) and TE5 (Waiguan). The group of acupoints should be selected based on the patient&#x2019;s visit time or the different causes of fatigue, with all acupoints in each group used simultaneously. The first acupoint is the primary acupoint, and the second is the auxiliary acupoint. If the symptoms or lesions are not unilateral, during acupuncture, male patients should first needle the acupoints on the left side, while female patients should first needle the acupoints on the right side. When the symptoms are localized to the left or right side of the body, acupoints on the opposite side should be treated first. For example, in the case of left-sided breast cancer, the acupoints on the right side should be needled first, regardless of gender.</p>
<p>The space acupoints consist of three parts, distributed across the neck and back (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>), the head and hands (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), and the chest, abdomen, and lower limbs (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Each of these three areas consists of nine acupoints. During acupuncture, the first space acupoint area is selected based on time, and acupuncture is performed sequentially from point &#x2460; to point &#x2468;. The left and right in the picture is subject to the patient (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Neck and back.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1518278-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Head and hands.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1518278-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Chest, abdomen, and lower limbs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1518278-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Needle puncture site and sequence in the ATAS group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1518278-g005.tif"/>
</fig>
<p>For example, on August 16, 2017, at 11:00, at Yunnan Provincial Cancer Hospital, the time acupoints were TE5 (Waiguan) and GB41 (Zulinqi), with TE5 (Waiguan) needled first, followed by GB41 (Zulinqi). If the patient is female and diagnosed with right-sided breast cancer, the acupuncture sequence is as follows: left TE5 (Waiguan), right TE5 (Waiguan), left GB41 (Zulinqi), and right GB41 (Zulinqi). The space acupoint TE5 (Waiguan) is located at position &#x2462;, so the space acupoints begin at &#x2462; and proceed in the sequence: &#x2462;&#x2192;&#x2463;&#x2192;&#x2464;&#x2192;&#x2465;&#x2192;&#x2466;&#x2192;&#x2467;&#x2192;&#x2468;&#x2192;&#x2460;&#x2192;&#x2461; to complete all 9 acupoints. For example, for the neck and back acupoints, begin with left BL18, followed by left SI11, GV4, right BL20, right BL18, left BL20, GV14, GV1, and right SI11, with the same sequence applied to the other two areas.</p>
<p>The first acupuncture treatment is administered before the first chemotherapy session following surgery. Subsequent treatments are conducted once a week for a total of 12 sessions, with each session involving 30 minutes of needle retention. All practitioners hold a medical practitioner&#x2019;s license and have more than five years of experience in acupuncture and massage therapy.</p>
</sec>
<sec id="s2_6_3">
<title>Sham acupuncture</title>
<p>Patients in the sham acupuncture group will receive non-penetrating sham acupuncture at locations away from traditional acupoints. A literature review was conducted to exclude acupoints documented for treating CRF in breast cancer, and 16 non-acupoint stimulation points were selected. These points are not located on traditional acupuncture points but are positioned around the acupoints related to Space-time acupuncture Linggui Bafa. The positions of the stimulation points are described below, following the order of acupuncture. All stimulation points are needled with shallow insertion, just through the skin (1-4 mm), without any manipulation. The duration and frequency of treatments were the same as those in the ATAS group. (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Needle puncture site and sequence in the Sham acupuncture group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1518278-g006.tif"/>
</fig>
<p>
<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 2</bold>
</xref> provides the specific locations of acupoints in the ATAS and sham acupuncture groups.</p>
</sec>
<sec id="s2_6_4">
<title>Waitlist control group</title>
<p>The waitlist control group was informed that they would only participate in adjuvant chemotherapy and not any acupuncture treatment. Treatments are: Epirubicin and Cyclophosphamide followed by Paclitaxel (Epirubicin 90 mg/m<sup>2</sup> plus Cyclophosphamide 600 mg/m<sup>2</sup>, q3w x4, followed by Paclitaxel 175 mg/m<sup>2</sup>, q2w x4).</p>
</sec>
</sec>
<sec id="s2_7">
<title>Outcome measures</title>
<sec id="s2_7_1">
<title>Primary outcome</title>
<p>Primary outcome: The Piper Fatigue Scale (PFS), revised by Piper et&#xa0;al. The scale consists of 24 items in total. The first two items assess the duration of fatigue, while the remaining 22 items are divided into four subjective dimensions: items 3 to 8 assess the behavioral dimension, items 9 to 13 assess the emotional dimension, items 14 to 18 assess the sensory dimension, and items 19 to 24 assess the cognitive dimension. The four dimensions assess the impact of fatigue on daily activities, emotions, and memory. All items are rated on a scale from 0 to 10, with 0 indicating the least severity and 10 indicating the highest severity.</p>
</sec>
<sec id="s2_7_2">
<title>Secondary outcomes</title>
<p>1. Insomnia Severity Index (ISI): This scale consists of 7 items, with higher scores indicating more severe insomnia. 2. Hospital Anxiety and Depression Scale (HADS): This scale is primarily used to screen for anxiety and depression in hospital patients. It consists of 14 items, with 7 items assessing depression (HADS-D) and 7&#xa0;items assessing anxiety (HADS-A). 3. IL-2, IL-6, CD3<sup>+</sup>T, CD4<sup>+</sup>T:&#xa0;IL-2 and IL-6 were detected by chemiluminescent immunoassay&#xa0;(CLIA). CD3<sup>+</sup>T and CD4<sup>+</sup>T were detected by flow cytometry (FCM).</p>
</sec>
</sec>
<sec id="s2_8">
<title>Statistical analysis</title>
<p>Data analysis was conducted using SPSS 28.0 software. The data in this study are presented as &#x201c; <inline-formula>
<mml:math display="inline" id="im1">
<mml:mover accent="true">
<mml:mi>x</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:math>
</inline-formula> &#xb1; s&#x201d;, and normality and homogeneity of variance tests were conducted. For comparisons between three groups that met the assumption of normal distribution, one-way ANOVA was used. If homogeneity of variance was assumed, the LSD method was applied; if homogeneity was not assumed, the Tamhane&#x2019;s T2 method was used. Non-normally distributed data were analyzed using the rank-sum test. Categorical data were analyzed using the chi-square test. A <italic>P</italic>-value of &lt; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Participants</title>
<p>A total of 108 postoperative chemotherapy patients with breast cancer were screened for eligibility, and 102 qualified participants (94.4%) were randomly assigned. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> shows the screening process and the reasons for exclusion. Thirty participants were assigned to receive ATAS, thirty to receive sham acupuncture, and another thirty to the waitlist control group. A total of 90 participants (100%) completed the intervention, and 86 participants (95.6%) completed the follow-up assessment.</p>
<p>Twelve participants (11.8%) withdrew from the study for various reasons: 4 from the ATAS group, 4 from the sham acupuncture group, and 4 from the waitlist group. The participants&#x2019; ages ranged from 18 to 60 years, and all were female. The average age in the ATAS group was 48.85 years [95% CI, 40.82 to 56.78], 49.6 years in the sham acupuncture group [95% CI, 40.16 to 59.04], and 48.03 years in the waitlist group [95% CI, 39.64 to 56.42]. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the baseline characteristics of the three groups.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of the participants.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="left">ATAS <break/>(n=30)</th>
<th valign="top" align="left">Sham Acupuncture <break/>(n=30)</th>
<th valign="top" align="left">Waitlist Group <break/>(n=30)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Mean age (95% CI), year</td>
<td valign="top" align="left">48.80(40.82-56.78)</td>
<td valign="top" align="left">49.60(40.16-59.04)</td>
<td valign="top" align="left">48.03(39.64-56.42)</td>
</tr>
<tr>
<td valign="top" align="left">Mean BMI (95% CI), kg/m<sup>2</sup>
</td>
<td valign="top" align="left">21.20(19.99-22.41)</td>
<td valign="top" align="left">22.50(21.45-23.55)</td>
<td valign="top" align="left">21.90(20.34-23.46)</td>
</tr>
<tr>
<td valign="top" align="left">Female sex, n (%)</td>
<td valign="top" align="left">30(100)</td>
<td valign="top" align="left">30(100)</td>
<td valign="top" align="left">30(100)</td>
</tr>
<tr>
<td valign="top" align="left">Education level, n (%)</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;University</td>
<td valign="top" align="left">3(10)</td>
<td valign="top" align="left">2(7)</td>
<td valign="top" align="left">3(10)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High school</td>
<td valign="top" align="left">17(57)</td>
<td valign="top" align="left">15(50)</td>
<td valign="top" align="left">18(60)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other</td>
<td valign="top" align="left">10(33)</td>
<td valign="top" align="left">13(43)</td>
<td valign="top" align="left">9(30)</td>
</tr>
<tr>
<td valign="top" align="left">Marital status, n (%)</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Married</td>
<td valign="top" align="left">25(83.3)</td>
<td valign="top" align="left">26(86.7)</td>
<td valign="top" align="left">28(93.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other marital status</td>
<td valign="top" align="left">5(16.7)</td>
<td valign="top" align="left">4(13.3)</td>
<td valign="top" align="left">2(6.7)</td>
</tr>
<tr>
<td valign="top" align="left">Employment status, n (%)</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; Employed</td>
<td valign="top" align="left">13(43.3)</td>
<td valign="top" align="left">10(33.3)</td>
<td valign="top" align="left">14(46.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; Unemployed</td>
<td valign="top" align="left">7(23.3)</td>
<td valign="top" align="left">6(20)</td>
<td valign="top" align="left">8(26.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Retired</td>
<td valign="top" align="left">10(33.3)</td>
<td valign="top" align="left">14(46.7)</td>
<td valign="top" align="left">8(26.7)</td>
</tr>
<tr>
<td valign="top" align="left">Mean PFS Total (95% CI)&#x2020;</td>
<td valign="top" align="left">5.78(4.90-6.66)</td>
<td valign="top" align="left">5.57(4.61-6.53)</td>
<td valign="top" align="left">5.68(5.09-10.77)</td>
</tr>
<tr>
<td valign="top" align="left">Mean ISI (95% CI)&#x2020;</td>
<td valign="top" align="left">17.67(13.56-21.78)</td>
<td valign="top" align="left">17.17(13.85-20.46)</td>
<td valign="top" align="left">17.23(14.59-19.87)</td>
</tr>
<tr>
<td valign="top" align="left">Mean HADS (95% CI)</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HADS-A</td>
<td valign="top" align="left">11.97(6.87-17.07)</td>
<td valign="top" align="left">10.77(6.69-14.85)</td>
<td valign="top" align="left">9.70(5.79-13.61)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HADS-D</td>
<td valign="top" align="left">11.17(6.78-15.56)</td>
<td valign="top" align="left">10.00(6.49-13.51)</td>
<td valign="top" align="left">9.20(5.72-12.68)</td>
</tr>
<tr>
<td valign="top" align="left">IL-2</td>
<td valign="top" align="left">23.20(12.53-33.87)</td>
<td valign="top" align="left">24.43(13.71-35.15)</td>
<td valign="top" align="left">22.43(11.44-3.42)</td>
</tr>
<tr>
<td valign="top" align="left">IL-6</td>
<td valign="top" align="left">28.43 (9.88-46.98)</td>
<td valign="top" align="left">27.81(10.48-45.14)</td>
<td valign="top" align="left">28.00(8.94-47.06)</td>
</tr>
<tr>
<td valign="top" align="left">CD3<sup>+</sup>T</td>
<td valign="top" align="left">68.63(58.83-78.43)</td>
<td valign="top" align="left">74.46(64.36-84.56)</td>
<td valign="top" align="left">70.32(59.11-81.53)</td>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup>T</td>
<td valign="top" align="left">36.84(28.25-45.43)</td>
<td valign="top" align="left">42.31(33.65-50.97)</td>
<td valign="top" align="left">39.77(31.02-48.52)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, Body Mass Index; HADS, Hospital Anxiety and Depression Scale; IL-2, Interleukin-2; IL-6, Interleukin-2; ISI, Insomnia Severity Index; PFS, PiPer Fatigue Scale.</p>
</fn>
<fn>
<p>&#x2020;Higher scores indicate worse symptoms.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Primary outcome</title>
<p>In the ATAS group, the total PFS score after the intervention was 4.98 [95% CI, 3.96 to 6.00], showing a decrease of 0.8 points from the baseline (decreasing from 5.78 to 4.98, <italic>P</italic> &lt; 0.05). The scores for each dimension after the intervention were as follows: Behavior Dimension, 5.10 [95% CI, 3.80 to 6.40], Affection Dimension, 5.57 [95% CI, 4.53 to 6.61], Perception Dimension, 5.07 [95% CI, 3.45 to 6.69] and Cognition Dimension, 4.30 [95% CI, 2.93 to 5.67]. All of these changes were statistically significant (<italic>P</italic> &lt; 0.05). In the sham acupuncture group, the total PFS score after the intervention was 5.67 [95% CI, 4.90 to 6.44], showing an increase of 0.1 points from the baseline (<italic>P</italic> &gt; 0.05). Additionally, the scores for the four dimensions before and after the intervention showed no statistically significant differences (<italic>P</italic> &gt; 0.05). The Behavior Dimension is 5.87 [95% CI, 4.65 to 7.09], the Affection Dimension is 6.17 [95% CI, 5.15 to 7.19], the Perception Dimension is 5.73 [95% CI, 4.82 to 6.64], and the Cognition Dimension is 4.90 [95% CI, 3.71 to 6.09]. In the waitlist control group, the total PFS score increased from 5.68 [95% CI, 5.09 to 6.77] to 6.47 [95% CI, 5.93 to 7.01]. The scores for all four dimensions increased, with the magnitude of the increase greater than that in the sham acupuncture group. The Behavior Dimension is 6.60 [95% CI, 5.71 to 7.49], the Affection Dimension is 6.97 [95% CI, 5.87 to 8.07], the Perception Dimension is 6.37 [95% CI, 5.48 to 7.26], and the Cognition Dimension is 5.93 [95% CI, 4.73 to 7.13]. After completing the treatment, statistical analysis was conducted for the three groups. The ATAS group showed significantly better results in total PFS scores, as well as in the Behavior Dimension, Affection Dimension, Perception Dimension, and Cognition Dimension, with all differences statistically significant (<italic>P</italic> &lt; 0.05) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Outcomes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Outcome</th>
<th valign="top" align="left">ATAS (n=30)</th>
<th valign="top" align="left">Sham Acupuncture<break/>(n=30)</th>
<th valign="top" align="left">Waitlist Group (n=30)</th>
<th valign="top" align="left">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">PFS Total (95% CI)</td>
<td valign="top" align="left">4.98(3.96-6.00) <sup>a</sup>
</td>
<td valign="top" align="left">5.67(4.90-6.44)</td>
<td valign="top" align="left">6.47(5.93-7.01)</td>
<td valign="top" align="left">&lt; 0.01<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Behavior Dimension</td>
<td valign="top" align="left">5.10(3.80-6.40) <sup>a</sup>
</td>
<td valign="top" align="left">5.87(4.65-7.09)</td>
<td valign="top" align="left">6.60(5.71-7.49)</td>
<td valign="top" align="left">&lt; 0.01 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Affection Dimension</td>
<td valign="top" align="left">5.57(4.53-6.61) <sup>a</sup>
</td>
<td valign="top" align="left">6.17(5.15-7.19)</td>
<td valign="top" align="left">6.97(5.87-8.07)</td>
<td valign="top" align="left">&lt; 0.01 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Perception Dimension</td>
<td valign="top" align="left">5.07(3.45-6.69) <sup>a</sup>
</td>
<td valign="top" align="left">5.73(4.82-6.64)</td>
<td valign="top" align="left">6.37(5.48-7.26)</td>
<td valign="top" align="left">&lt; 0.01 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Cognition Dimension</td>
<td valign="top" align="left">4.30(2.93-5.67) <sup>a</sup>
</td>
<td valign="top" align="left">4.90(3.71-6.09)</td>
<td valign="top" align="left">5.93(4.73-7.13)</td>
<td valign="top" align="left">&lt; 0.01 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">ISI (95% CI)</td>
<td valign="top" align="left">15.17(12.28-18.06) <sup>a</sup>
</td>
<td valign="top" align="left">16.70(13.17-20.23)</td>
<td valign="top" align="left">18.30(15.30-21.30)</td>
<td valign="top" align="left">&lt; 0.01 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">HADS (95% CI)</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
<td valign="top" align="left">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HADS-A</td>
<td valign="top" align="left">8.63(5.18-12.08) <sup>a</sup>
</td>
<td valign="top" align="left">10.43(6.85-14.01)</td>
<td valign="top" align="left">12.37(8.94-15.80)</td>
<td valign="top" align="left">&lt; 0.01 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HADS-D</td>
<td valign="top" align="left">7.80(4.73-10.87) <sup>a</sup>
</td>
<td valign="top" align="left">8.97(6.20-11.74) <sup>a</sup>
</td>
<td valign="top" align="left">10.93(7.49-14.37)</td>
<td valign="top" align="left">&lt; 0.01 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">IL-2</td>
<td valign="top" align="left">20.18(11.51-28.85) <sup>a</sup>
</td>
<td valign="top" align="left">23.52(13.0-34.03)</td>
<td valign="top" align="left">27.55(14.92-40.18)</td>
<td valign="top" align="left">0.033 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">IL-6</td>
<td valign="top" align="left">24.56(7.57-41.55) <sup>a</sup>
</td>
<td valign="top" align="left">27.72(11.45-43.99)</td>
<td valign="top" align="left">36.08(16.21-55.95)</td>
<td valign="top" align="left">0.039 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">CD3<sup>+</sup>T</td>
<td valign="top" align="left">79.03(68.56-89.50) <sup>a</sup>
</td>
<td valign="top" align="left">73.78(63.52-84.31)</td>
<td valign="top" align="left">72.47(61.79-83.15)</td>
<td valign="top" align="left">0.044 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup>T</td>
<td valign="top" align="left">42.89(35.14-50.64) <sup>a</sup>
</td>
<td valign="top" align="left">41.11(32.49-49.73)</td>
<td valign="top" align="left">36.51(27.21-45.81)</td>
<td valign="top" align="left">0.015 <sup>b</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HADS, Hospital Anxiety and Depression Scale; IL-2, Interleukin-2; IL-6, Interleukin-2; ISI, Insomnia Severity Index; PFS, PiPer Fatigue Scale.</p>
</fn>
<fn>
<p>
<sup>a</sup>Compared to baseline, <italic>P</italic>&lt;0.05.</p>
</fn>
<fn>
<p>
<sup>b</sup>Compared with the three groups, <italic>P</italic>&lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Secondary outcomes</title>
<p>In the ATAS group, the ISI score after the intervention was 15.17 [95% CI, 12.28 to 18.06], showing a decrease of 2.5 points from the baseline (from 17.67 to 15.17, <italic>P</italic> &lt; 0.05). In the sham acupuncture group, the ISI score after the intervention was 16.70 [95% CI, 13.17 to 20.23], showing a decrease of 0.47 points from the baseline (from 17.17 to 16.70, <italic>P</italic> &gt; 0.05). In the waitlist control group, the ISI score after the intervention was 18.30 [95% CI, 15.30 to 21.30], showing an increase of 1.07 points from the baseline (from 17.23 to 18.30, <italic>P</italic> &gt; 0.05). After treatment, the difference in ISI scores between the ATAS group and the other two groups was statistically significant (<italic>P</italic> &lt; 0.05).</p>
<p>In terms of HADS, the ATAS group showed a decrease in HADS-A scores from 11.97 [95% CI, 6.87 to 17.07] to 8.63 [95% CI, 5.18 to 12.08] (<italic>P</italic> &lt; 0.05) and a decrease in HADS-D scores from 11.11 [95% CI, 6.78 to 15.56] to 7.80 [95% CI, 4.73 to 10.87] (<italic>P</italic> &lt; 0.05). In the sham acupuncture group, the HADS-A score decreased from 10.77 [95% CI, 6.69 to 14.85] to 10.43 [95% CI, 6.85 to 14.01], with a decrease of 0.34 (<italic>P</italic> &gt; 0.05). The HADS-D score decreased from 10 [95% CI, 6.49 to 13.51] to 8.97 [95% CI, 6.20 to 11.74] (<italic>P</italic> &lt; 0.05). In the waitlist control group, the scores increased: HADS-A rose from 9.7 [95% CI, 5.79 to 13.61] to 12.37 [95% CI, 8.94 to 15.80], and HADS-D increased from 9.20 [95% CI, 5.72 to 12.68] to 10.93 [95% CI, 7.49 to 14.37]. After treatment, the ATAS group showed significant advantages in HADS scores compared to the other two groups, with statistically significant differences (<italic>P</italic> &lt; 0.05).</p>
<p>In the ATAS group, after the intervention, IL-2 and IL-6 scores decreased by 3.02 points (a decrease from 23.20 to 20.18, <italic>P</italic> &lt; 0.05) and 3.87 points (a decrease from 28.43 to 24.56, <italic>P</italic> &lt; 0.05), respectively. At the same time, CD3<sup>+</sup>T and CD4<sup>+</sup>T levels increased. CD3<sup>+</sup>T increased from 68.63 [95% CI, 58.83 to 78.43] to 79.03 [95% CI, 68.56 to 89.50], and CD4<sup>+</sup>T increased from 36.84 [95% CI, 28.25 to 45.43] to 42.89 [95% CI, 35.14 to 50.64]. In the sham acupuncture group, after the intervention, IL-2 and IL-6 levels decreased by only 0.91 points (a decrease from 24.43 to 23.52, <italic>P</italic> &gt; 0.05) and 0.09 points (a decrease from 27.81 to 27.72, <italic>P</italic> &gt; 0.05), respectively. CD3<sup>+</sup>T and CD4<sup>+</sup>T levels decreased compared to before the intervention. In the waitlist control group, IL-2 and IL-6 levels showed an increasing trend compared to before the intervention. IL-2 increased from 22.43 [95% CI, 11.44 to 33.42] to 27.55 [95% CI, 14.92 to 40.18], and IL-6 increased from 28.00 [95% CI, 8.94 to 47.06] to 36.08 [95% CI, 16.21 to 55.95]. CD3<sup>+</sup>T increased from 70.32 [95% CI, 59.11 to 81.53] to 72.47 [95% CI, 61.79 to 83.15], while CD4<sup>+</sup>T decreased by 3.26 points. After treatment, the differences in IL-2, IL-6, CD3<sup>+</sup>T, and CD4<sup>+</sup>T between the ATAS group and the other two groups were statistically significant (<italic>P</italic> &lt; 0.05).</p>
</sec>
<sec id="s3_4">
<title>Adverse events</title>
<p>Seven participants in the ATAS group and the sham acupuncture group reported a total of nine adverse events. These adverse events included hematoma, bleeding, or pain around the acupuncture sites. No adverse events were reported in the waitlist control group (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Adverse events related to acupuncture*.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Adverse Event</th>
<th valign="top" colspan="2" align="center">Acupuncture (n = 60)&#x2020;</th>
</tr>
<tr>
<th valign="top" align="center">Participants, n (%)</th>
<th valign="top" align="center">Events, n</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">7 (11.7)</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Hematoma around the site of needling</td>
<td valign="top" align="center">5 (8.3)</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Needle left in participant</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Fainted during acupuncture</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Severe sharp pain during acupuncture</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Sharp pain lasting &gt;1 h</td>
<td valign="top" align="center">1 (1.7)</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Bleeding around the site of needling</td>
<td valign="top" align="center">1 (1.7)</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Infection around the site of needling</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Other discomforts after acupuncture</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>* No adverse events occurred in the waitlist control group (n=30).</p>
</fn>
<fn>
<p>&#x2020; All adverse events were mild and transient, and all participants recovered without further medical intervention.</p>
<p>No patient withdrew from the study due to adverse events.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<sec id="s4_1">
<title>Principal findings</title>
<p>Our randomized controlled trial indicates that, compared to sham acupuncture and waitlist control, ATAS intervention significantly alleviated fatigue in postoperative breast cancer patients. It also resulted in greater reductions in secondary outcome measures such as insomnia, anxiety, and depression compared to the sham acupuncture group. Additionally, ATAS lowered levels of inflammatory cytokines, improved the inflammatory status of patients, and had a positive effect on their quality of life. In the ATAS group and the sham acupuncture group, a total of nine adverse events occurred, with an incidence rate of 11.7%. All adverse reactions were mild and transient, requiring no medical intervention. The occurrence of adverse events might have been due to a failure to apply pressure immediately after needle removal. This should be addressed in future clinical practice.</p>
<p>In terms of outcome measures, our study focused on patients&#x2019; subjective experiences, such as fatigue, insomnia, anxiety, and depression. Emphasizing patients&#x2019; subjective perceptions, symptom improvement, satisfaction with disease diagnosis and treatment, and quality of life plays an irreplaceable role in evaluating clinical efficacy outcomes (<xref ref-type="bibr" rid="B23">23</xref>) Adjuvant treatments for&#xa0;breast cancer patients primarily include radiotherapy, chemotherapy, and endocrine therapy. Clinical studies on patients receiving chemotherapy have shown that 25% to 50% of these patients may develop peripheral neuropathy (<xref ref-type="bibr" rid="B24">24</xref>). Patients with stage I-III breast cancer experience poorer sleep, increased fatigue, and more severe depressive symptoms during chemotherapy (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Reports from breast cancer survivors indicate that most patients worry about disease recurrence, struggle to return to work, experience strained family relationships, and face psychological distress related to their social roles. As a result, after completing treatment, patients may experience varying degrees of pain, fatigue, sleep disturbances, and depression (<xref ref-type="bibr" rid="B27">27</xref>). These symptom clusters are persistent (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>) and significantly associated with multiple dimensions of quality of life (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Professor Zhu Miansheng is the founder of ATAS and a recipient of the French Knight of the Legion of Honor, First Class. Linggui Bafa is known as the &#x201c;Qi Jing Na Gua&#x201d; method in ancient China. A special structure is formed based on the Eight Trigrams and Luo Shu. Professor Zhu&#x2019;s previous clinical studies revealed that Space-time acupuncture Linggui Bafa not only improves the symptoms of perimenopausal syndrome but also lowers serum FSH levels and raises E2 levels (<xref ref-type="bibr" rid="B31">31</xref>). It can further reduce the frequency of nighttime urination in elderly individuals, extend sleep duration, and enhance the overall quality of life for patients (<xref ref-type="bibr" rid="B32">32</xref>). The space acupoints of Space-time acupuncture Linggui Bafa consist of three groups of acupoints. In each group, the first acupuncture point corresponds to the acupoint associated with the time, and then, after combining with the Eight Trigrams, the other space acupoints are needled in sequence. Among the three groups of acupoints, the middle acupoints belong to the GV and CV. Taoism in China believes that this is a channel where energy converges. Therefore, we selected the acupoints of GV and CV, which reflect the characteristic of spatial acupoints gathering energy. SI11, CV17, ST25, BL18, BL20, and ST36 are commonly used and important acupoints for treating breast diseases. The space acupoints, as a whole, represent the three groups of acupoints as carriers and channels for the communication of the energy of heaven and earth.</p>
<p>ATAS is an innovation based on traditional acupuncture that combines time acupoints and space acupoints into a new acupuncture method (<xref ref-type="bibr" rid="B33">33</xref>). With the development of society and changes in people&#x2019;s lifestyles, the spectrum of modern diseases has also undergone significant changes. Human diseases have shifted from primarily external invasive diseases to predominantly chronic and psychosomatic diseases. This phenomenon has become a major challenge for doctors. In clinical treatment, it is necessary to address the causes of fatigue in patients, tailoring the treatment according to the time, location, and individual characteristics. When selecting time acupoints in ATAS, five main methods are used: based on the time of psychological trauma, the time of accidents or natural disasters, the onset time of treatment-induced adverse reactions, diseases with specific onset times, and the patient&#x2019;s birth time (<xref ref-type="bibr" rid="B34">34</xref>). The etiology and pathogenesis of CRF in breast cancer are complex, involving factors such as the cancer itself, surgery, and psychological trauma. In the treatment using the ATAS method, all these factors are taken into consideration. For example, if fatigue is significantly worsened after surgery, the time of the surgery would be selected as the time acupoint. Space acupoints are always used after time acupoints, following a specific sequence, and integrating the time points and space points into a cohesive system (<xref ref-type="bibr" rid="B35">35</xref>). This approach can address the disease itself while also having a positive effect on symptoms induced by the treatment. Additionally, in the ATAS method, the combination of time acupoints and space acupoints fully embodies a personalized treatment plan that considers the specific timing and individual needs of each patient. This trial achieved a close integration of traditional Chinese medicine&#x2019;s individualized treatment approach with the standardized requirements of clinical trials, embodying the essence of acupuncture&#x2019;s original principles. We hope that this clinical trial research will provide a reference design for traditional Chinese medicine clinical trials, offer clinicians better treatment options for breast cancer CRF, and enable breast cancer CRF patients to have more choices in their treatment.</p>
<p>Our study found that the total PFS score in the ATAS group decreased by 0.8 points after the intervention. The etiology of cancer-related fatigue may be related to immune-inflammatory responses (<xref ref-type="bibr" rid="B36">36</xref>). Di Meglio (<xref ref-type="bibr" rid="B37">37</xref>) found that high levels of IL-6 and IL-2 are associated with CRF. Cohen (<xref ref-type="bibr" rid="B38">38</xref>) found that IL-6 and IL-8 play a modulatory role in the relationship between physical activity and fatigue. Inflammatory cytokines from the peripheral system can transmit signals to the brain via the vagus nerve or endocrine system (<xref ref-type="bibr" rid="B39">39</xref>), triggering the further release of inflammatory mediators, leading to fatigue, cognitive dysfunction, or sleep disturbances, among other behavioral changes, in an attempt to restore homeostasis (<xref ref-type="bibr" rid="B40">40</xref>). At the same time, tissue damage caused by tumor treatments such as surgery, radiotherapy, and chemotherapy also triggers systemic inflammation, and psychological stress related to cancer diagnosis or treatment is one of the factors contributing to the imbalance of inflammatory factors (<xref ref-type="bibr" rid="B41">41</xref>). Sleep disorders are often observed before cancer treatment, and it has been confirmed that they coexist with other conditions such as anxiety and depression. Different breast cancer treatment methods increase the risk of sleep disorders, which, in turn, adversely affect the efficacy of cancer treatment (<xref ref-type="bibr" rid="B42">42</xref>). Cellular immunity is an essential component of the immune system, with T cells playing a central role in defending against pathogen invasion, eliminating cancer cells, preventing autoimmune diseases induced by pathogens and&#xa0;the environment, and limiting chronic inflammation, thereby maintaining immune homeostasis (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Research has&#xa0;shown that in breast cancer survivors with persistent fatigue, T lymphocyte levels are elevated, particularly CD4<sup>+</sup> T cells (<xref ref-type="bibr" rid="B45">45</xref>). CD4<sup>+</sup> T cells and CD8<sup>+</sup> T cells interact and exert both&#xa0;positive and negative regulatory effects on immune responses, thereby jointly regulating immune homeostasis. Acupuncture also has a bidirectional regulatory effect, which may be related to the mechanism through which acupuncture modulates immune function.</p>
<p>Considering the relationship between inflammation and immune suppression, anti-inflammatory treatments and the restoration of host immunity may be effective strategies for cancer treatment (<xref ref-type="bibr" rid="B46">46</xref>). In recent years, numerous studies have investigated the mechanism of acupuncture&#x2019;s anti-inflammatory effects (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>), which can be both local and systemic. The anti-inflammatory effect of acupuncture is primarily achieved in two ways: one through sensory stimulation from acupuncture to the central nervous system, stimulating the HPA axis, sympathetic, or vagal nerve pathways to regulate immune function. The other is through acupuncture as a minimally invasive stimulus to the body surface, inducing or enhancing the body&#x2019;s own inflammatory reflex (<xref ref-type="bibr" rid="B49">49</xref>). Previous studies have shown that electroacupuncture is effective in treating various diseases involving excessive inflammatory responses (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). A meta-analysis showed (<xref ref-type="bibr" rid="B52">52</xref>) that the acupuncture treatment group exhibited improved immune function, with increases in CD3 cells, CD4 cells, and the CD4/CD8 ratio, while IL-1, IL-4, IL-6, and CRP levels of inflammatory markers decreased. Acupuncture may improve immune outcomes and reduce inflammation during cancer treatment. A clinical cancer study found that, in the acupuncture group, CD3<sup>+</sup> T and CD4<sup>+</sup> T cell levels increased, while IL-6 and CRP levels decreased (<xref ref-type="bibr" rid="B53">53</xref>). A systematic review of 28 clinical studies showed that acupuncture can significantly reduce clinical scores of depression and anxiety in cancer patients (<xref ref-type="bibr" rid="B54">54</xref>), and the American Society of Integrative Oncology also recommends acupuncture for treating breast cancer-related negative emotions in its clinical guidelines (<xref ref-type="bibr" rid="B12">12</xref>). Regarding immune system regulation under emotional disturbances, studies suggest that electroacupuncture can reduce the elevation of inflammatory factors in the serum of animals subjected to postoperative stress or chronic adolescent restraint stress models (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>). Therefore, acupuncture may regulate immune responses by alleviating emotional disturbances in stressful conditions, and this immune modulation could be one of the potential mechanisms by which acupuncture contributes to cancer prevention and treatment in the future. Thus, selecting acupuncture for patients after breast cancer surgery can regulate immune function while also positively affecting accompanying symptoms. This study found that, in the ATAS group, the levels of CD3<sup>+</sup> T lymphocytes and CD4<sup>+</sup> T lymphocytes increased throughout the study, while IL-2 and IL-6 levels decreased. This indicates that ATAS positively affects the chronic inflammatory state in breast cancer patients after chemotherapy and enhances immune function in breast cancer CRF patients.</p>
</sec>
<sec id="s4_2">
<title>Research implications</title>
<p>The limitations of this study include a small sample size and a short observation period, with effects observed only after one chemotherapy cycle post-surgery. The results related to quality of life, survival time, and mortality of breast cancer patients after treatment could not be immediately presented. In the next stage of the study, we plan to increase the sample size, conduct follow-up tracking, and perform further analysis. In the later stages of the study, due to the specificity of acupuncture procedures, the acupuncturist could not be blinded, which limits the single-blind design. Therefore, we blinded the outcome assessors and data analysts, who were not involved in the treatment procedures. The study reported only mild adverse events and lacked long-term safety assessments. In future studies, regular monitoring of patient fatigue, sleep disorders, anxiety, and depression should be conducted to assess whether they worsen. Additionally, imaging tests and estrogen levels should be monitored for abnormalities, and attention should be paid to the occurrence of cardiovascular diseases, fractures, and peripheral neuropathy.</p>
<p>Currently, the application of acupuncture in oncology treatment is still in its early stages, primarily used to manage adverse reactions induced by comprehensive treatments like radiotherapy and chemotherapy. Therefore, future research should not be limited to treating symptoms caused by tumors. More convincing research is needed to demonstrate the inhibitory effects of acupuncture on tumors, thereby fully leveraging the potential advantages of acupuncture in cancer treatment research.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>Our preliminary findings indicate that ATAS effectively improves fatigue in postoperative chemotherapy patients with breast cancer. It also has positive effects on sleep, anxiety, depression, and inflammatory factors. These results suggest that ATAS intervention may be an effective method for alleviating fatigue in breast cancer patients.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of Yunnan Cancer Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>XC: Writing &#x2013; original draft, Software. ZZ: Methodology, Writing &#x2013; original draft. LXL: Data curation, Writing &#x2013; original draft. LL: Data curation, Writing &#x2013; review &amp; editing. XB: Data curation, Writing &#x2013; review &amp; editing. RS: Methodology, Writing &#x2013; review &amp; editing. YW: Methodology, Writing &#x2013; review &amp; editing. LW: Writing &#x2013; review &amp; editing. MZ: Supervision, Writing &#x2013; review &amp; editing. YW: Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was funded by the Yunnan Key Research and Development Program (grant numbers:2018IA059); Yunnan Provincial Department of Education Scientific Research Fund Project (grant numbers:2024Y397).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank all patients and their families for their cooperation and confidence. We appreciate the assistance of our colleagues in different teams, including the acupuncture team (ARIATAS, Association Pour la Recherche et l&#x2019;Information de l&#x2019;Acupuncture Time-Acupoints-Space and Yunnan University of Chinese Medicine), data collection and registration (Dali Bai Autonomous Prefecture Chinese Medicine Hospital), and statistics and analytics team (Qinghai University).</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<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>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</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>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2025.1518278/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1518278/full#supplementary-material</ext-link>.</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="DataSheet2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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