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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.2021.762709</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Study Protocol</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Longitudinal Assessment of Physical Activity, Fitness, Body Composition, Immunological Biomarkers, and Psychological Parameters During the First Year After Diagnosis in<bold/> Women With Non-Metastatic Breast Cancer: The BEGYN Study Protocol</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zemlin</surname>
<given-names>Cosima</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1450703"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Stuhlert</surname>
<given-names>Caroline</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Schleicher</surname>
<given-names>Julia Theresa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>W&#xf6;rmann</surname>
<given-names>Carolin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Altmayer</surname>
<given-names>Laura</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lang</surname>
<given-names>Marina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1489552"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Scherer</surname>
<given-names>Laura-Sophie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1451384"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thul</surname>
<given-names>Ida Clara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>M&#xfc;ller</surname>
<given-names>Carolin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kaiser</surname>
<given-names>Elisabeth</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/750418"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Stutz</surname>
<given-names>Regine</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/750419"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Goedicke-Fritz</surname>
<given-names>Sybelle</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/399150"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ketter</surname>
<given-names>Laura</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zemlin</surname>
<given-names>Michael</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/24788"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wagenpfeil</surname>
<given-names>Gudrun</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Steffgen</surname>
<given-names>Georges</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1279560"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Solomayer</surname>
<given-names>Erich-Franz</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department for Gynecology, Obstetrics and Reproductive Medicine, Saarland University Medical Center</institution>, <addr-line>Homburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department for General Pediatrics, Saarland University Medical Center</institution>, <addr-line>Homburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Behavioural and Cognitive Sciences, Institute for Health and Behaviour, University of Luxembourg</institution>, <addr-line>Esch-sur-Alzette</addr-line>, <country>Luxembourg</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Institute for Medical Biometry, Epidemiology and Medical Informatics (IMBEI), Saarland University</institution>, <addr-line>Homburg</addr-line>, <country>Germany</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Masakazu Toi, Kyoto University, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Alessandro de Sire, University of Magna Graecia, Italy; Marco Invernizzi, University of Eastern Piedmont, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Cosima Zemlin, <email xlink:href="mailto:cosima.zemlin@uks.eu">cosima.zemlin@uks.eu</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Breast Cancer, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>762709</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Zemlin, Stuhlert, Schleicher, W&#xf6;rmann, Altmayer, Lang, Scherer, Thul, M&#xfc;ller, Kaiser, Stutz, Goedicke-Fritz, Ketter, Zemlin, Wagenpfeil, Steffgen and Solomayer</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Zemlin, Stuhlert, Schleicher, W&#xf6;rmann, Altmayer, Lang, Scherer, Thul, M&#xfc;ller, Kaiser, Stutz, Goedicke-Fritz, Ketter, Zemlin, Wagenpfeil, Steffgen and Solomayer</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>Moderate physical activity is associated with an improved prognosis and psychosocial outcome in breast cancer patients. Although exercise and physical activity are associated with multiple physiological and psychological effects, many of the underlying mechanisms remain obscure. The BEGYN study (Influence of physical activity in breast cancer patients on physiological and psychological parameters and on biomarkers) aims at identifying potential associations between the extent of physical activity, fitness, body composition, immunological biomarkers, psycho-emotional parameters, and the course of treatment during the first year after diagnosis of breast cancer.</p>
</sec>
<sec>
<title>Methods</title>
<p>The prospective observational BEGYN study will include 110 non-metastatic breast cancer patients. The patients will be assessed during a base line visit prior to the initiation of the antineoplastic therapy and after 3, 6, 9 and 12 months. The physical activity will be measured using a fitness tracker and a self-assessment diary during the entire study. Each visit will include the assessment of (i) cardiorespiratory fitness measured by spiroergometry, (ii) body composition, (iii) psycho-emotional parameters (quality of life, mental health, fatigue, depression, distress, anxiety, well-being), and (iv) extensive blood tests including routine laboratory, vitamin D, selenium and immunologically relevant biomarkers (e.g., leukocyte subpopulations and cytokine profiles).</p>
</sec>
<sec>
<title>Discussion</title>
<p>Whereas most studies investigating the influence of physical activity in breast cancer patients focus on specific activities for three months or less, the BEGYN study will quantify the daily physical activity and cardiorespiratory fitness of breast cancer patients based on objective measurements in the context of the oncological therapy for 12 months after diagnosis. The study will reveal potential associations between exercise, immune status and physical as well as psycho-emotional outcome and the clinical course of the disease. Moreover, complementary therapies such as Vit D and Selenium supplementation and parameters investigating the motivation of the patients are part of the study. Due to this holistic approach, the BEGYN study will guide towards confirmatory studies on the role of physical activity in breast cancer patients to develop individualized counselling regarding the recommended type and extent of exercise.</p>
</sec>
<sec>
<title>Trial Registration</title>
<p>This study has been registered at the German Clinical Trials Register DRKS00024829.</p>
</sec>
</abstract>
<kwd-group>
<kwd>breast cancer</kwd>
<kwd>physical activity</kwd>
<kwd>spiroergometry</kwd>
<kwd>psychological parameters</kwd>
<kwd>body composition</kwd>
<kwd>chemotherapy</kwd>
<kwd>immune monitoring</kwd>
<kwd>observational study</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="8"/>
<equation-count count="1"/>
<ref-count count="107"/>
<page-count count="14"/>
<word-count count="6394"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Historic recommendations to avoid physical activity during cancer treatment to save all energy for fighting the disease have proven wrong (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Breast cancer is the most common cancer in women, accounting for more than 680.000 deaths per year worldwide (<xref ref-type="bibr" rid="B7">7</xref>). Although modern breast cancer treatment such as improved diagnostic and staging procedures, advanced systemic therapy, surgery and radiotherapy increases long-term survival and clinical outcome of breast cancer patients, there is still a deficiency of supportive and psychosocial care (<xref ref-type="bibr" rid="B8">8</xref>). Breast cancer survivors are at risk of suffering potentially disabling physical and psychological sequelae, such as lymphedema, axillary web syndrome, chronic pain, osteoporosis and fractures, arthralgia, chronic fatigue syndrome and depression (<xref ref-type="bibr" rid="B9">9</xref>). During and after antineoplastic therapy, rehabilitation and complementary therapies are crucial to improve the quality of life and overall prognosis of breast cancer survivors (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Multiple studies in cancer patients have demonstrated that physical activity and exercise correlate with an improved outcome regarding the course of the underlying disease and with a better tolerance to the antineoplastic treatments (<xref ref-type="bibr" rid="B13">13</xref>). For example, exercise had positive effects on the fatigue syndrome and quality of life in cancer (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>), the course of lymphedema (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>) and osteoporosis in breast cancer (<xref ref-type="bibr" rid="B16">16</xref>) and prostate cancer (<xref ref-type="bibr" rid="B17">17</xref>). Moreover, physical activity influences various functions of the immune system, such as the proportions of circulating leukocyte subsets and the expression of cytokines (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). Moderate sporting activity has an immune-protective effect, whereas excessive sporting activity is associated with an increased susceptibility to infections - possibly mediated by a reduction in circulating natural killer cells (<xref ref-type="bibr" rid="B22">22</xref>). Natural killer cells and other leukocyte subsets play a crucial role in the physiological attempts of the organism to control cancer cells (<xref ref-type="bibr" rid="B23">23</xref>). Thus, Ashcraft et&#xa0;al. put forth the hypothesis that exercise-induced modulations of the immune status do not only alter the susceptibility to infections, but also the immune response to neoplastic diseases and the effectivity of antineoplastic therapies (<xref ref-type="bibr" rid="B24">24</xref>). Current data suggest that a complex interplay of the above-mentioned factors contributes to a positive correlation between the quantity of physical activities and event-free survival in cancer patients (69% reduced hazard of mortality among highly active patients) (<xref ref-type="bibr" rid="B25">25</xref>). In consequence, more prospective studies were recommended to characterize the influence of sporting activities on the immune system and on potential individualized rehabilitation approaches in cancer patients (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>According to Mehnert et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>) the prevalence of any mental disorder among the major tumor entities is 32% and breast cancer has the highest prevalence of mental disorders with 42%. 17% of breast cancer patients are afflicted with anxiety disorders and 9% with affective disorders. Physical activity can affect anxiety and depression in breast cancer patients. Interestingly, leisure time physical activity was negatively related to depression, whereas occupational physical activity related positively to anxiety (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>30% of disease-free breast cancer survivors suffer from cancer related fatigue syndrome, causing a massive reduction of psycho-emotional wellbeing and quality of life (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>). Regular exercise plays an important role in the management of cancer-related fatigue (<xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>). Clinical trials have shown that individual and patient-adapted exercise programs yield the best outcome regarding physical functioning and health among breast cancer patients (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>The body composition strongly correlates with physical activity and is a relevant prognostic factor for breast cancer patients (<xref ref-type="bibr" rid="B39">39</xref>). On average, overweight patients have a higher risk to develop breast cancer, a higher rate of relapses and a shorter recurrence-free period (<xref ref-type="bibr" rid="B40">40</xref>). The loss of muscle mass and the gain of fat mass (sarcopenia) can be detected with a bioelectrical impedance analysis, a simple, non-invasive technique (<xref ref-type="bibr" rid="B41">41</xref>). A lower muscle index can be associated with a higher toxicity of the chemotherapy (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>Since the physical activity plays a key role in determining the prognosis of breast cancer patients, it is useful to combine exercise diaries with objective measurements such as pedometers or fitness trackers (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Moreover, this yields continuous information on vital parameters, including the pulse and resting heart rate as an estimate for overall cardiopulmonary fitness (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>Studies that combine fitness tests, physical assessments, immunological markers, and psychological tests in breast cancer patients are still scarce, thus it is highly difficult to understand potential cross-links between these aspects. Filling this gap of knowledge could allow conclusions on individualized prevention and rehabilitation of the multiple sequelae that are potentially associated with breast cancer (<xref ref-type="bibr" rid="B9">9</xref>). Clinical studies in cancer patients must consider that according to current guidelines, all breast cancer patients are to be advised to exercise endurance and muscle strength (<xref ref-type="bibr" rid="B39">39</xref>). However, little is known on the extent to which patients adhere to this recommendation. Moreover, it would be unethical to withhold motivation for sportive activity from breast cancer patients for experimental purposes as a control. Thus, the BEGYN study was designed as an observational study, using validated methods to assess physical activity, cardiopulmonary fitness, body composition, psychological parameters, and extensive blood tests (e.g., immune status, vitamin D and selenium) during the first year of antineoplastic therapy after diagnosis of non-metastatic breast cancer. To gain information even after a longer period the BEGYN study is designed to collect data over one year after diagnosis. This study will shed light into the dynamics of physiological and psychological variables and the course of the disease during the first year after initiation of antineoplastic therapy in breast cancer patients in correlation with the physical activity. Ultimately, this study will lay the basis to develop individualized recommendations for exercise in breast cancer patients to improve the quality of life and prognosis.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>2 Materials and Methods</title>
<sec id="s2_1">
<title>2.1 Study Population</title>
<p>The BEGYN study will assess 110 female patients with non-metastatic invasive breast cancer prior to the initiation of antineoplastic therapy. The patients will be followed for one year after diagnosis. Since the study focuses on variables that are heavily influenced by gender (e.g., physical fitness and body composition), we did not include male breast cancer patients. Inclusion and exclusion criteria ensure that patients can undergo spiroergometry, blood tests, assessment of physical activities and psychological parameters during the first year after the diagnosis of breast cancer. The detailed inclusion criteria and exclusion criteria are given in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Inclusion criteria and exclusion criteria of the BEGYN study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Inclusion criteria</th>
<th valign="top" align="center">Exclusion criteria</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<list list-type="bullet">
<list-item>
<p>Female sex</p>
</list-item>
<list-item>
<p>Age &#x2265; 18 years</p>
</list-item>
<list-item>
<p>Invasive, non-metastatic breast cancer</p>
</list-item>
<list-item>
<p>Sufficient language skills to fill the questionnaires and to write an activity diary</p>
</list-item>
<list-item>
<p>Sufficient technical skills or support for using a smart phone and fitness tracker</p>
</list-item>
<list-item>
<p>Given written informed consent</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item>
<p>Any antineoplastic treatment or invasive procedures (e.g., surgery for venous port) prior to baseline measurement</p>
</list-item>
<list-item>
<p>Life expectancy &lt; 12 months</p>
</list-item>
<list-item>
<p>Non-invasive disease (e.g., carcinoma <italic>in situ</italic>)</p>
</list-item>
<list-item>
<p>Previous or current history of other neoplasia</p>
</list-item>
<list-item>
<p>Inability to perform a spiroergometry on a tread mill</p>
</list-item>
<list-item>
<p>Pregnant or nursing women</p>
</list-item>
</list>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_2">
<title>2.2 Study Schedule</title>
<p>The patients are enrolled to the BEGYN study after initial diagnosis. The baseline study visit is scheduled before the initiation of any antineoplastic therapy, followed by quarterly follow up visits. During each visit, patients undergo a clinical assessment, spiroergometry on a treadmill, blood tests, measurement of the body composition by bioimpedance analysis, plicometry, validated psychological questionnaires and other assessments (<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>Schedule for the BEGYN study. All patients are asked to write down their physical activities in a diary (type and duration of exercise) and to continuously wear a fitness tracker. Study visits are scheduled quarterly, with the first visit taking place before initiation of antineoplastic therapy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-762709-g001.tif"/>
</fig>
</sec>
<sec id="s2_3">
<title>2.3 Clinical Assessment</title>
<p>Routine assessment during quarterly follow-up visits includes an anamnesis focused on potential side effects of antineoplastic therapies, measuring the body weight and blood pressure.</p>
</sec>
<sec id="s2_4">
<title>2.4 Assessment of Physical Activity and Exercise</title>
<sec id="s2_4_1">
<title>2.4.1 Patient Self-Assessment Diary</title>
<p>Each patient will be asked to document her daily sporting activities in a standardized self-assessment study diary. The patients will be instructed by study personnel how to use the diary during recruitment and during each follow-up visit. The study personnel check the completeness and accuracy of the diary and discuss potential improvements with the patients on each follow-up visit. The diary will be used to document the following points:</p>
<list list-type="bullet">
<list-item>
<p>Medically relevant information (change of medication or nutritional supplements, fever, symptoms etc.)</p>
</list-item>
<list-item>
<p>Daily sportive activities</p>
</list-item>
<list-item>
<p>Weekly read outs of the fitness tracker</p>
</list-item>
<list-item>
<p>Weekly psychological questionnaires</p>
</list-item>
<list-item>
<p>Questions and notes that the study participants might have.</p>
</list-item>
</list>
<p>As a standardized measure of physical activity the metabolic equivalent task (MET) will be used to describe the metabolic turnover of the patients even when performing different sportive activities (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>).</p>
</sec>
<sec id="s2_4_2">
<title>2.4.2 Spiroergometry</title>
<p>During each of the five study visits the patients perform a spiroergometry on a treadmill (XRCISE RUNNER MED&#x2122; by Cardiowise, ERGO-FIT&#x2122;, Pirmasens, Germany) for the assessment of cardiopulmonary fitness (<xref ref-type="bibr" rid="B48">48</xref>). After a technical introduction for the patient, the calibration of the aeroman&#x2122; and a baseline spirometry in seated position, the patients start walking at an individually determined speed, typically 4 kmph. Subsequently, the patient is challenged according to a standardized, validated protocol that ensures a linear increase in Oxygen uptake response (<xref ref-type="bibr" rid="B49">49</xref>). For inter- and intraindividual comparison, the time course of work rate in watts (WR<sub>(t)</sub>) is calculated using the formula published by Porszasz et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>) WT(t) = m * g * &#x3bd;(t) * sin (&#x3b1;), where m is body mass in kg, g is the gravitational acceleration (9.81 m*s<sup>-2</sup>), &#x3bd;(t) is the time course of velocity in meters per second, and &#x3b1; is the angle of inclination. The speed or gradient of the treadmill is increased by 0.5 kmph or 1 percent every 2 minutes to intensify the level of exertion. After each interval, the patient breathes through a tightly fitting spirometer mouthpiece (aeroman&#x2122; professional, ACEOS GmbH, F&#xfc;rth, Germany) according to a validated protocol (<xref ref-type="bibr" rid="B50">50</xref>). The measurement will be terminated once the patient reaches a maximum heart rate defined as 220 &#x2013; age (bpm) or a respiratory quotient &gt;1. Furthermore, the subjective perception of exertion according to Borg &gt;17 (<xref ref-type="bibr" rid="B51">51</xref>), dizziness, dyspnea, nausea or pain will lead to termination of the spiroergometry (<xref ref-type="bibr" rid="B52">52</xref>). The patient can interrupt the measurement due to subjective exhaustion at any time. This will reveal intraindividual longitudinal changes during the first year after the diagnosis of breast cancer. The ventilatory threshold (VT) will be used as a submaximal indicator of general cardiopulmonary fitness (<xref ref-type="bibr" rid="B53">53</xref>). VT represents the excessive increase of carbon dioxide output compared to oxygen uptake. In addition, heart rate (HR), oxygen uptake (VO<sub>2</sub>), carbon dioxide release (VCO<sub>2</sub>), respiratory quotient (RQ), breathing frequency (BF) and respiratory minute volume (VE) will be assessed to allow the analysis of endurance performance. The measurements obtained with the spiroergometry are given in <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>Spiroergometry.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Description</th>
<th valign="top" align="center">Abbreviation</th>
<th valign="top" align="center">Unit</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Heart rate</td>
<td valign="top" align="center">HR</td>
<td valign="top" align="center">Beats per minute</td>
</tr>
<tr>
<td valign="top" align="left">Oxygen uptake</td>
<td valign="top" align="center">VO<sub>2</sub>
</td>
<td valign="top" align="center">L/min</td>
</tr>
<tr>
<td valign="top" align="left">Carbon dioxide release (l/min)</td>
<td valign="top" align="center">VCO<sub>2</sub>
</td>
<td valign="top" align="center">L/min</td>
</tr>
<tr>
<td valign="top" align="left">Respiratory quotient</td>
<td valign="top" align="center">RQ</td>
<td valign="top" align="center">VO<sub>2</sub>/VCO<sub>2</sub>
</td>
</tr>
<tr>
<td valign="top" align="left">Breathing frequency</td>
<td valign="top" align="center">BF</td>
<td valign="top" align="center">Breaths per minute</td>
</tr>
<tr>
<td valign="top" align="left">Respiratory minute volume</td>
<td valign="top" align="center">VE</td>
<td valign="top" align="center">L/min</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_4_3">
<title>2.4.3. Fitness Tracker</title>
<p>Physical activity is assessed daily by supplying each patient uses a commercial fitness tracker (Fitbit charge 3&#x2122; (Fitbit Inc., San Francisco) that will be linked to her smartphone (<xref ref-type="bibr" rid="B54">54</xref>). Study personnel assists the patients and &#x2013; if required &#x2013; their associate to install the smartphone app and to setup the measurements. The patients are requested to transcribe the measurements of their fitness tracker into their study diary weekly. Those values are shown in <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>Measurements with the fitness tracker.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Description</th>
<th valign="top" align="center">Abbreviation</th>
<th valign="top" align="center">Registration interval</th>
<th valign="top" align="center">Unit</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Core stats</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>Daily</bold>
</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Steps taken</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Daily</td>
<td valign="top" align="center">Count</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Resting heart rate</td>
<td valign="top" align="center">RHR</td>
<td valign="top" align="center">Daily</td>
<td valign="top" align="center">Beats per minute</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Calories burned</td>
<td valign="top" align="center">Cal</td>
<td valign="top" align="center">Daily</td>
<td valign="top" align="center">Kcal</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Workout stats</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>Real-time</bold>
</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Elapsed time</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Real-time</td>
<td valign="top" align="center">Minute</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Distance covered</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Real-time</td>
<td valign="top" align="center">Km</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Calories burned</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Real-time</td>
<td valign="top" align="center">Kcal</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Average heart rate</td>
<td valign="top" align="center">&#xf8;HR</td>
<td valign="top" align="center">Real-time</td>
<td valign="top" align="center">Beats per minute</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Maximum heart rate</td>
<td valign="top" align="center">HRmax</td>
<td valign="top" align="center">Real-time</td>
<td valign="top" align="center">Beats per minute</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s2_5">
<title>2.5 Body Composition</title>
<sec id="s2_5_1">
<title>2.5.1. Bioelectrical Impedance Analysis</title>
<p>The body composition will be determined based on bioelectrical impedance analysis (BIA) (TANITA scale&#x2122;, Tanita Europe BV, Stuttgart). The test person stands barefoot on a body scale and holds sensors in both hands. Using the impedance between the four measuring points, numerous data can be collected that provide information on the muscle, fat, bone and water content of the whole body and individual compartments. Bioimpedance analysis is routinely used in the context of nutritional advice and sports medicine, but it can also shed light into disease processes, such as hemodialysis patients (<xref ref-type="bibr" rid="B55">55</xref>) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). When accessible, the body composition will also be estimated by using routine CT scans of the study patients as previously published (<xref ref-type="bibr" rid="B56">56</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Measurements by scale and bioimpedance analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Item</th>
<th valign="top" align="center">Unit</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Weight</td>
<td valign="top" align="left">kg</td>
</tr>
<tr>
<td valign="top" align="left">Total body fat</td>
<td valign="top" align="left">%</td>
</tr>
<tr>
<td valign="top" align="left">Total muscle mass</td>
<td valign="top" align="left">kg</td>
</tr>
<tr>
<td valign="top" align="left">Bone mass</td>
<td valign="top" align="left">kg</td>
</tr>
<tr>
<td valign="top" align="left">Body-Mass-Index</td>
<td valign="top" align="left">Kg/m&#xb2;</td>
</tr>
<tr>
<td valign="top" align="left">Basal metabolic rate</td>
<td valign="top" align="left">kcal</td>
</tr>
<tr>
<td valign="top" align="left">Metabolic age</td>
<td valign="top" align="left">years</td>
</tr>
<tr>
<td valign="top" align="left">Total body water</td>
<td valign="top" align="left">%</td>
</tr>
<tr>
<td valign="top" align="left">Visceral fat</td>
<td valign="top" align="left">kg</td>
</tr>
<tr>
<td valign="top" align="left">Segmental muscle mass in arms, legs, and torso</td>
<td valign="top" align="left">kg</td>
</tr>
<tr>
<td valign="top" align="left">Segmental body fat in arms, legs, and torso</td>
<td valign="top" align="left">%</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_5_2">
<title>2.5.2 Plicometry (Calipometry)</title>
<p>Plicometry allows a standardized estimate of the body fat status which can change under influences such as sport, chemotherapy or cancer (<xref ref-type="bibr" rid="B57">57</xref>&#x2013;<xref ref-type="bibr" rid="B60">60</xref>). In the BEGYN study, fat distribution is assessed using the skinfold measurement using the 3 point-method (triceps, suprailiac skinfold, and thigh) according to Jackson and Pollock (<xref ref-type="bibr" rid="B61">61</xref>). (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The total body subcutaneous fat tissue (in kg) was estimated from the plicometry measurements using the formula (<xref ref-type="bibr" rid="B61">61</xref>):</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>Total</mml:mtext>
<mml:mi>&#xa0;</mml:mi>
<mml:mtext>body</mml:mtext>
<mml:mi>&#xa0;</mml:mi>
<mml:mi>subcutaneous</mml:mi>
<mml:mi>&#xa0;</mml:mi>
<mml:mtext>fat</mml:mtext>
<mml:mi>&#xa0;</mml:mi>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>kg</mml:mtext>
<mml:mo stretchy="false">)</mml:mo>
<mml:mi>&#xa0;</mml:mi>
<mml:mo>=</mml:mo>
<mml:mi>&#xa0;</mml:mi>
<mml:mo stretchy="false">[</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>4.95</mml:mn>
<mml:mo stretchy="false">/</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>1.0994921</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>0.000992</mml:mn>
<mml:msup>
<mml:mn>9</mml:mn>
<mml:mo>*</mml:mo>
</mml:msup>
<mml:mtext>S</mml:mtext>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>0.000002</mml:mn>
<mml:msup>
<mml:mn>3</mml:mn>
<mml:mo>*</mml:mo>
</mml:msup>
<mml:msup>
<mml:mtext>S</mml:mtext>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:msup>
<mml:mn>0.0001392</mml:mn>
<mml:mo>*</mml:mo>
</mml:msup>
<mml:mtext>age</mml:mtext>
<mml:mo>{</mml:mo>
<mml:mtext>in&#xa0;years</mml:mtext>
<mml:mo>}</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>4.5</mml:mn>
<mml:msup>
<mml:mo stretchy="false">]</mml:mo>
<mml:mo>*</mml:mo>
</mml:msup>
<mml:mn>100.</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Plicometry sites of measurement (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>). Skinfold measurement using the 3 point-method (1 = triceps, 2 = suprailiac skinfold; 3 = thigh).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-762709-g002.tif"/>
</fig>
<p>S is the sum of the skinfold thicknesses measured at the triceps, the suprailiac skinfold and the thigh.</p>
</sec>
</sec>
<sec id="s2_6">
<title>2.6 Nutritional Habits, Intake Of Food Supplements, Self-Medications, and Lifestyle</title>
<p>According to the guideline, a Mediterranean diet was recommended to all patients (<xref ref-type="bibr" rid="B39">39</xref>). Nutritional habits were assessed using a questionnaire with a focus on characteristic dietary patterns. In addition, sleeping, smoking, and drinking habits, the use of food supplements and self-medication as well as exposure to sunlight and use of sun protection were assessed using questionnaires and the self-assessment diary, respectively.</p>
</sec>
<sec id="s2_7">
<title>2.7 Biomarkers</title>
<p>Cancer, antineoplastic therapy as well as physical activity are closely related with biomarkers (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B62">62</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>).</p>
<sec id="s2_7_1">
<title>2.7.1 Blood Count, Biochemical Laboratory Markers</title>
<p>For disease monitoring and adjustment of the antineoplastic therapy, multiple biomarkers are routinely assessed during the quarterly study visits (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). In addition, the BEGYN study will include vitamin D and selenium concentrations since they are often discussed as potentially relevant to cancer biology (<xref ref-type="bibr" rid="B69">69</xref>&#x2013;<xref ref-type="bibr" rid="B72">72</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Laboratory values, intervals of assessment and reference values.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Parameter</th>
<th valign="top" align="center">Assessment interval </th>
<th valign="top" align="center">Vial </th>
<th valign="top" align="center">Unit</th>
<th valign="top" align="center">reference value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Blood count</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Erythrocytes</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">10\S\12/l</td>
<td valign="top" align="center">4.00 &#x2013; 5.20</td>
</tr>
<tr>
<td valign="top" align="left">Hb</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">g/dl</td>
<td valign="top" align="center">12.0 &#x2013; 16.0</td>
</tr>
<tr>
<td valign="top" align="left">Leukocytes</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">10\S\9/l</td>
<td valign="top" align="center">3.9 &#x2013; 10.2</td>
</tr>
<tr>
<td valign="top" align="left">Thrombocytes</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">10\S\9/l</td>
<td valign="top" align="center">140 &#x2013; 400</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Differential leukocyte count</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Neutrophils rel.</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">%</td>
<td valign="top" align="center">42.0 &#x2013; 77.0</td>
</tr>
<tr>
<td valign="top" align="left">Neutrophils abs.</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">10\S\9/l</td>
<td valign="top" align="center">1.5 &#x2013; 7.7</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocytes</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">%</td>
<td valign="top" align="center">25.0 &#x2013; 45.0</td>
</tr>
<tr>
<td valign="top" align="left">Monocytes</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">%</td>
<td valign="top" align="center">2.0 &#x2013; 10.0</td>
</tr>
<tr>
<td valign="top" align="left">Eosinophils</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">%</td>
<td valign="top" align="center">0.0 &#x2013; 5.0</td>
</tr>
<tr>
<td valign="top" align="left">Basophils</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">%</td>
<td valign="top" align="center">0.0 &#x2013; 1.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Biochemical parameters</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sodium</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mmol/l</td>
<td valign="top" align="center">135 &#x2013; 145</td>
</tr>
<tr>
<td valign="top" align="left">Potassium</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mmol/l</td>
<td valign="top" align="center">3.5 &#x2013; 5.1</td>
</tr>
<tr>
<td valign="top" align="left">Calcium</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mmol/l</td>
<td valign="top" align="center">2.2 &#x2013; 2.6</td>
</tr>
<tr>
<td valign="top" align="left">Magnesium</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mmol/l</td>
<td valign="top" align="center">0.66 &#x2013; 1.07</td>
</tr>
<tr>
<td valign="top" align="left">Iron</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">&#xb5;g/dl</td>
<td valign="top" align="center">33 &#x2013; 193</td>
</tr>
<tr>
<td valign="top" align="left">Creatinin</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">0.50 &#x2013; 0.90</td>
</tr>
<tr>
<td valign="top" align="left">Urea</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">17 &#x2013; 48</td>
</tr>
<tr>
<td valign="top" align="left">Uric acid</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">2.5 &#x2013; 5.7</td>
</tr>
<tr>
<td valign="top" align="left">Glucose</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">60 &#x2013; 100</td>
</tr>
<tr>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Serum</td>
<td valign="top" align="center">g/l</td>
<td valign="top" align="center">66 &#x2013; 87</td>
</tr>
<tr>
<td valign="top" align="left">Albumin</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Serum</td>
<td valign="top" align="center">g/l</td>
<td valign="top" align="center">35 &#x2013; 52</td>
</tr>
<tr>
<td valign="top" align="left">Cholesterol</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">&lt;200</td>
</tr>
<tr>
<td valign="top" align="left">Triglycerides</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">&lt;150</td>
</tr>
<tr>
<td valign="top" align="left">CK</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">U/l</td>
<td valign="top" align="center">0 &#x2013; 170</td>
</tr>
<tr>
<td valign="top" align="left">ASAT</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">U/l</td>
<td valign="top" align="center">0 &#x2013; 35</td>
</tr>
<tr>
<td valign="top" align="left">ALAT</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">U/l</td>
<td valign="top" align="center">0 &#x2013; 35</td>
</tr>
<tr>
<td valign="top" align="left">gamma-GT</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">U/l</td>
<td valign="top" align="center">&lt;40</td>
</tr>
<tr>
<td valign="top" align="left">Alkaline phosphatase</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">U/l</td>
<td valign="top" align="center">35 &#x2013; 104</td>
</tr>
<tr>
<td valign="top" align="left">Bilirubin</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">&lt;1.2</td>
</tr>
<tr>
<td valign="top" align="left">Lipase</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">U/l</td>
<td valign="top" align="center">13 &#x2013; 60</td>
</tr>
<tr>
<td valign="top" align="left">LDH</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">U/l</td>
<td valign="top" align="center">0 &#x2013; 262</td>
</tr>
<tr>
<td valign="top" align="left">CRP</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/l</td>
<td valign="top" align="center">0.0 &#x2013; 5.0</td>
</tr>
<tr>
<td valign="top" align="left">HbA1c</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">EDTA</td>
<td valign="top" align="center">%</td>
<td valign="top" align="center">&lt;6.0</td>
</tr>
<tr>
<td valign="top" align="left">LDL-Cholesterol</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">&lt;130</td>
</tr>
<tr>
<td valign="top" align="left">HDL-Cholesterol</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">45 &#x2013; 65</td>
</tr>
<tr>
<td valign="top" align="left">VLDL-Cholesterol</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">mg/dl</td>
<td valign="top" align="center">&lt;35</td>
</tr>
<tr>
<td valign="top" align="left">Interleukin-6</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">pg/ml</td>
<td valign="top" align="center">&lt;7</td>
</tr>
<tr>
<td valign="top" align="left">Selenium</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Serum</td>
<td valign="top" align="center">&#xb5;g/l</td>
<td valign="top" align="center">50 &#x2013; 120 (<xref ref-type="bibr" rid="B67">67</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Vitamin D-25-OH</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Serum</td>
<td valign="top" align="center">ng/ml</td>
<td valign="top" align="center">30 &#x2013; 100 (<xref ref-type="bibr" rid="B68">68</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hormones</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">TSH</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">&#xb5;IU/ml</td>
<td valign="top" align="center">0.27 &#x2013; 4,2</td>
</tr>
<tr>
<td valign="top" align="left">fT3</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">pg/ml</td>
<td valign="top" align="center">2.0 &#x2013; 4.4</td>
</tr>
<tr>
<td valign="top" align="left">fT4</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Li-Heparin-Plasma</td>
<td valign="top" align="center">ng/dl</td>
<td valign="top" align="center">0.93 &#x2013; 1.7</td>
</tr>
<tr>
<td valign="top" align="left">Cortisol</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Serum</td>
<td valign="top" align="center">&#xb5;g/dl</td>
<td valign="top" align="center">4.82 &#x2013; 19.5*</td>
</tr>
<tr>
<td valign="top" align="left">Insulin</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Serum</td>
<td valign="top" align="center">&#xb5;IU/ml</td>
<td valign="top" align="center">&lt;29.1</td>
</tr>
<tr>
<td valign="top" align="left">&#xdf;-hCG</td>
<td valign="top" align="left">quarterly</td>
<td valign="top" align="left">Serum</td>
<td valign="top" align="center">mIU/ml</td>
<td valign="top" align="center">&lt;1.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Tumor marker</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CA 15-3</td>
<td valign="top" align="left">optional</td>
<td valign="top" align="left">Serum</td>
<td valign="top" align="center">U/ml</td>
<td valign="top" align="center">&lt;26.2</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>*</sup>Reference values for Cortisol vary depending on the time of blood collection. As in the BEGYN study, samples were routinely taken in the morning these standard values were used.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_7_2">
<title>2.7.2 Leukocyte Subsets</title>
<p>Peripheral blood mononuclear cells (PBMCs) will be obtained from 9,6 ml anticoagulated blood samples by Ficoll density gradient centrifugation and resuspended in 90% fetal calf serum + 10% dimethylsulphoxide. Plasma supernatant will be collected and all biosamples will be cryopreserved at -80&#xb0;C until further processing (<xref ref-type="bibr" rid="B73">73</xref>).</p>
<p>The underlying disease, the antineoplastic therapies and physical activity can have a profound impact on the immune system, respectively (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B74">74</xref>&#x2013;<xref ref-type="bibr" rid="B77">77</xref>). The number of 36 circulating leukocyte subsets will be assessed by flow cytometry using a panel of validated antibody stainings (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>), based on previous studies (<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B78">78</xref>). Cells will be analyzed with FACSCelesta&#x2122; (BD Biosciences, Franklin Lakes, New Jersey, USA) (<xref ref-type="bibr" rid="B79">79</xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Leukocyte subsets.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">population </th>
<th valign="top" align="center">Surface antigens</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>B cells</bold>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">innate B cells</td>
<td valign="top" align="left">CD19+ CD27- IgD- IgM-</td>
</tr>
<tr>
<td valign="top" align="left">na&#xef;ve B cells</td>
<td valign="top" align="left">CD19+ CD27- IgD+ IgM+</td>
</tr>
<tr>
<td valign="top" align="left">memory B cells</td>
<td valign="top" align="left">CD19+ CD27+</td>
</tr>
<tr>
<td valign="top" align="left">marginal zone memory B cells</td>
<td valign="top" align="left">CD19+ CD27+ IgD+ IgM+</td>
</tr>
<tr>
<td valign="top" align="left">IgM memory B cells</td>
<td valign="top" align="left">CD19+ CD27+ IgD- IgM+</td>
</tr>
<tr>
<td valign="top" align="left">class switched memory B cells</td>
<td valign="top" align="left">CD19+ CD27+ IgD- IgM-</td>
</tr>
<tr>
<td valign="top" align="left">late memory B cells</td>
<td valign="top" align="left">CD19+ CD27+ CD38+ IgM+</td>
</tr>
<tr>
<td valign="top" align="left">plasmablasts</td>
<td valign="top" align="left">CD19+ CD27+ CD38<sup>bright</sup> IgM-</td>
</tr>
<tr>
<td valign="top" align="left">transitonal B cells</td>
<td valign="top" align="left">CD19+ CD20+ CD27- CD38+</td>
</tr>
<tr>
<td valign="top" align="left">pre-na&#xef;ve B cells (B1 cells)</td>
<td valign="top" align="left">CD20+ CD27+ CD43+ CD70-</td>
</tr>
<tr>
<td valign="top" align="left">B2 cells</td>
<td valign="top" align="left">CD20+ CD27+ CD43-</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>T cells</bold>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Th cells with &#x3b1;&#x3b2;-TCR</td>
<td valign="top" align="left">TCR&#x3b1;&#x3b2;+ CD4+</td>
</tr>
<tr>
<td valign="top" align="left">cytotoxic Th cells with &#x3b1;&#x3b2;-TCR</td>
<td valign="top" align="left">TCR&#x3b1;&#x3b2;+ CD8+</td>
</tr>
<tr>
<td valign="top" align="left">memory effector Th cells</td>
<td valign="top" align="left">CD3+ CD4+ CD62L- CD45RO+</td>
</tr>
<tr>
<td valign="top" align="left">memory central Th cells</td>
<td valign="top" align="left">CD3+ CD4+ CD62L+ CD45RO+</td>
</tr>
<tr>
<td valign="top" align="left">na&#xef;ve effector Th cells</td>
<td valign="top" align="left">CD3+ CD4+ CD62L- CD45RO-</td>
</tr>
<tr>
<td valign="top" align="left">naive central Th cells</td>
<td valign="top" align="left">CD3+ CD4+ CD62L+ CD45RO-</td>
</tr>
<tr>
<td valign="top" align="left">memory effector cytotoxic T cells</td>
<td valign="top" align="left">CD3+ CD8+ CD62L- CD45RO+</td>
</tr>
<tr>
<td valign="top" align="left">memory central cytotoxic T cells</td>
<td valign="top" align="left">CD3+ CD8+ CD62L+CD45RO+</td>
</tr>
<tr>
<td valign="top" align="left">na&#xef;ve effector cytotoxic T cells</td>
<td valign="top" align="left">CD3+ CD8+ CD62L- CD45RO-</td>
</tr>
<tr>
<td valign="top" align="left">na&#xef;ve central cytotoxic T cells</td>
<td valign="top" align="left">CD3+ CD8+ CD62L+ CD45RO-</td>
</tr>
<tr>
<td valign="top" align="left">T cells with &#x3b3;&#x3b4;-TCR</td>
<td valign="top" align="left">TCR &#x3b3;&#x3b4;+ CD3+ CD5+</td>
</tr>
<tr>
<td valign="top" align="left">na&#xef;ve thymus negative Th cells</td>
<td valign="top" align="left">CD3+ CD4+ CD31- CD45RO-</td>
</tr>
<tr>
<td valign="top" align="left">na&#xef;ve thymus negative Th cells</td>
<td valign="top" align="left">CD3+ CD4+ CD31+ CD45RO-</td>
</tr>
<tr>
<td valign="top" align="left">Th1 cells</td>
<td valign="top" align="left">CD3+ CD4+ CD183+ CCR6+</td>
</tr>
<tr>
<td valign="top" align="left">Th2 cells</td>
<td valign="top" align="left">CD3+ CD4+ CCR4+ CRTH2+</td>
</tr>
<tr>
<td valign="top" align="left">na&#xef;ve Th1 cells</td>
<td valign="top" align="left">CD3+ CD4+ CD183+ CD45RO-</td>
</tr>
<tr>
<td valign="top" align="left">memory Th1 cells</td>
<td valign="top" align="left">CD3+ CD4+ CD183+ CD45RO+</td>
</tr>
<tr>
<td valign="top" align="left">na&#xef;ve Th2 cells</td>
<td valign="top" align="left">CD3+ CD4+ CD45RO- CRTH2+</td>
</tr>
<tr>
<td valign="top" align="left">memory Th2 cells</td>
<td valign="top" align="left">CD3+ CD4+ CD45RO+ CRTH2+</td>
</tr>
<tr>
<td valign="top" align="left">regulatory T cells</td>
<td valign="top" align="left">CD3+ CD4+ CD25+ CD127-</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>NK cells</bold>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">natural killer cells</td>
<td valign="top" align="left">Lin- CD335+ CD56+ CD16+</td>
</tr>
<tr>
<td valign="top" align="left">memory-like natural killer cells</td>
<td valign="top" align="left">Lin- CD335+ CD56<sup>dim</sup> CD16+</td>
</tr>
<tr>
<td valign="top" align="left">intermediate natural killer cells</td>
<td valign="top" align="left">Lin- CD335+ CD56<sup>bright</sup> CD16-</td>
</tr>
<tr>
<td valign="top" align="left">innate natural killer cells</td>
<td valign="top" align="left">Lin- CD335+ CD56- CD16-</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_7_3">
<title>2.7.3 Cytokine Profiles</title>
<p>Plasma cytokine profiles will be measured by Luminex<sup>&#xae;</sup> xMAP&#x2122; technology (Austin Texas, USA) since they reflect the activity of various immune cells (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>). Luminex<sup>&#xae;</sup> xMAP&#x2122; technology performed on MAGPIX&#x2122; instruments, enables the simultaneous quantification of up to 50 target proteins or nucleic acids (<xref ref-type="bibr" rid="B80">80</xref>) and have been validated for numerous immunological studies, including breast cancer (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B81">81</xref>) and infections (<xref ref-type="bibr" rid="B82">82</xref>). Superparamagnetic microsphere beads are conjugated with a distinct monoclonal antibody. The beads themselves are dyed with varying amounts of red and infrared fluorophores to allow clear assignment to a specific bead region. MAGPIX&#x2122; fluorescence imager-based instruments use a LED illumination/CCD camera detection system for both bead region identification and reporter fluorophore-based analyte quantification (<xref ref-type="bibr" rid="B83">83</xref>).</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Cytokine profiles measures by Luminex&#x2122; (MAGPIX<sup>&#xae;</sup>).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cytokine</th>
<th valign="top" align="center">abbreviation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Tumor necrosis factor &#x3b1;</td>
<td valign="top" align="left">TNF&#x3b1;</td>
</tr>
<tr>
<td valign="top" align="left">Interferon &#x3b3;</td>
<td valign="top" align="left">IFN&#x3b3;</td>
</tr>
<tr>
<td valign="top" align="left">Interleukin 1&#x3b1;</td>
<td valign="top" align="left">IL-1&#x3b1;</td>
</tr>
<tr>
<td valign="top" align="left">Interleukin 1&#x3b2;</td>
<td valign="top" align="left">IL-1&#x3b2;</td>
</tr>
<tr>
<td valign="top" align="left">Interleukin 2</td>
<td valign="top" align="left">IL-2</td>
</tr>
<tr>
<td valign="top" align="left">Interleukin 4</td>
<td valign="top" align="left">IL-4</td>
</tr>
<tr>
<td valign="top" align="left">Interleukin 6</td>
<td valign="top" align="left">IL-6</td>
</tr>
<tr>
<td valign="top" align="left">Interleukin 10</td>
<td valign="top" align="left">IL-10</td>
</tr>
<tr>
<td valign="top" align="left">Interferon &#x3b3; -induced protein 10</td>
<td valign="top" align="left">IP10</td>
</tr>
<tr>
<td valign="top" align="left">Monocyte chemoattractant protein 1</td>
<td valign="top" align="left">MCP-1</td>
</tr>
<tr>
<td valign="top" align="left">Granulocyte-macrophage colony-stimulating factor</td>
<td valign="top" align="left">GM-CSF</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_7_4">
<title>2.7.4 Gene Expression Profiles</title>
<p>The expression of selected mRNA transcripts related to breast cancer and inflammation will be measured by a quantitative real-time PCR (qPCR). The method used is based on a previously published technique (<xref ref-type="bibr" rid="B73">73</xref>). Total RNA will be isolated from PMBCs using the High Pure RNA Isolation Kit (Roche, Basel, Suisse). Reverse transcription will be performed using SuperScript&#x2122; VILO IV cDNA Synthesis Kit (Invitrogen, Thermo Fisher Scientific) followed by the cDNA purification using QIAquick&#x2122; PCR Purification Kit (Qiagen, Hilden). Concentration and purity determination of the isolated RNA will be performed with NanoDrop&#x2122; (Thermo Fisher Scientific, Waltham, Massachusetts, USA). TaqMan&#x2122; Gene Expression Assays (Applied Biosystems, Thermo Fisher Scientific, Waltham, Massachusetts, USA) will be used to perform qRT-PCR of immunological key transcription factors TBX21, RORC, GATA3, FOXP3 (<xref ref-type="bibr" rid="B84">84</xref>&#x2013;<xref ref-type="bibr" rid="B88">88</xref>). The &#x394;ct-values will be calculated using ACTB, EEF1A1, and 18S as a standard. Values will be normalized to the data from the samples taken at the baseline visit.</p>
</sec>
</sec>
<sec id="s2_8">
<title>2.8 Assessment of Psychological Parameters</title>
<p>The assessment of psychological parameters will be performed by using standardized questionnaires that were validated for (breast) cancer patients, respectively (<xref ref-type="bibr" rid="B89">89</xref>&#x2013;<xref ref-type="bibr" rid="B98">98</xref>). A list of questionnaires is shown in <xref ref-type="table" rid="T8">
<bold>Table&#xa0;8</bold>
</xref>. Moreover, the patients have the opportunity to report individual thoughts as free texts and during the study visits.</p>
<table-wrap id="T8" position="float">
<label>Table&#xa0;8</label>
<caption>
<p>Assessment of the psychological parameters (used questionnaires).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Abbreviation</th>
<th valign="top" align="center">Name</th>
<th valign="top" align="center">Nmber of items</th>
<th valign="top" align="center">Content</th>
<th valign="top" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>EORTC QLQ-C30</bold>
</td>
<td valign="top" align="left">European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30</td>
<td valign="top" align="left">30 items</td>
<td valign="top" align="left">health-related quality of life (QoL)</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B95">95</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>EORTC QLQ-BR23</bold>
</td>
<td valign="top" align="left">European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-BReast cancer module 23</td>
<td valign="top" align="left">23 items</td>
<td valign="top" align="left">health-related quality of life (QoL) in breast cancer patients: systemic therapy side-effects, arm symptoms, breast symptoms, body image and sexual functioning</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B95">95</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>MHS</bold>
</td>
<td valign="top" align="left">Mental Health Scales</td>
<td valign="top" align="left">76 items</td>
<td valign="top" align="left">willpower, acceptance of life, self-reflection, finding of a meaning, naturalness and social integration</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B92">92</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>HADS</bold>
</td>
<td valign="top" align="left">Hospital Anxiety and Depression Scale</td>
<td valign="top" align="left">14 items</td>
<td valign="top" align="left">level of anxiety and level of depression</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B89">89</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">
<bold>DT</bold>
</td>
<td valign="top" rowspan="2" align="left">Distress Thermometer</td>
<td valign="top" align="left">DT: 1 item</td>
<td valign="top" rowspan="2" align="left">Psychosocial distress and possibly associated problems (practical, family, emotional, spiritual/religious and physical)</td>
<td valign="top" rowspan="2" align="center"> (<xref ref-type="bibr" rid="B94">94</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Problem list: 39 items</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>MDWQ</bold>
</td>
<td valign="top" align="left">MultiDimensional Well-being Questionnaire</td>
<td valign="top" align="left">12 items</td>
<td valign="top" align="left">mood, level of alertness and level of calmness</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B91">91</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s2_8_1">
<title>2.8.1 Quality of Life</title>
<p>The overall quality of life is assessed using the Quality of Life Questionnaire (QLQ-C30 version 3.0) which has been developed and validated by the European Organisation for Research and Treatment of Cancer (EORTC) to explore quality of life among cancer patients (<xref ref-type="bibr" rid="B90">90</xref>). The supplementary questionnaire QLQ-BR23 will be used to record symptoms specific for breast cancer (<xref ref-type="bibr" rid="B95">95</xref>). In sum, a score from 0 &#x2013; 100 can be calculated allowing the quantification of the impairments regarding the patient&#x2019;s health and quality of life.</p>
</sec>
<sec id="s2_8_2">
<title>2.8.2 Mental Health</title>
<p>The questionnaire &#x201c;Mental health scales&#x201d; (MHS) (<xref ref-type="bibr" rid="B92">92</xref>) was used to assess the psychological integrity of the study participants, in order to evaluate the development of the patients&#x2019; personality throughout the study duration. The questionnaire consists out of seven scales (autonomy (17 items), willpower (14 items), acceptance of live (8 items), self-reflection (12 items), finding of a meaning (7 items), naturalness (10 items) and social integration (8 items)), which yields a total of 76 items. The questionnaire is answered with the help of a five-point Likert-scale (<italic>1</italic> = <italic>I fully agree</italic>; <italic>5</italic> = <italic>I fully disagree</italic>) and an example item is &#x201c;Generally I am confident&#x201d;.</p>
</sec>
<sec id="s2_8_3">
<title>2.8.3 Chronic Fatigue Syndrome</title>
<p>Symptoms of chronic fatigue syndrome (CFS) (<xref ref-type="bibr" rid="B93">93</xref>) that affects more than 50% of breast cancer patients and the extent of psychological stress will be assessed using the Distress Thermometer (DT) (<xref ref-type="bibr" rid="B96">96</xref>).</p>
</sec>
<sec id="s2_8_4">
<title>2.8.4 Anxiety and Depression</title>
<p>The self reported anxiety and distress will be assessed using the HADS (Hospital Anxiety and Depression Scale) questionnaire (<xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B97">97</xref>) and the German adaptation of the Distress Thermometer (DT) (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B96">96</xref>&#x2013;<xref ref-type="bibr" rid="B98">98</xref>).</p>
</sec>
<sec id="s2_8_5">
<title>2.8.5 Well-Being</title>
<p>To get an overview of the mental state of the patients, the German questionnaire &#x201c;Multidimensional Well-being Questionnaire&#x201d; (MDBQ) (<xref ref-type="bibr" rid="B91">91</xref>) has been used in its short version with twelve items (short version A). This questionnaire captures three bipolar dimensions of the current mental state (good mood &#x2013; bad mood, alertness &#x2013; fatigue, tranquility &#x2013; inquietude) of the breast cancer patients. The questionnaire presents twelve adjectives (e.g., satisfied, flabby, good etc.) and with the help of a five-point Likert-scale (<italic>1</italic> = <italic>not at all</italic>; <italic>5</italic> = <italic>very much</italic>) the patients rate their instant feeling. Cronbachs&#x2019;&#x3b1; is between 0.86 and 0.94, indicating a good consistency of the scale.</p>
</sec>
</sec>
<sec id="s2_9">
<title>2.9 Sample Size Calculation and Statistical Analyses</title>
<p>The Institute for Medical Biometry, Epidemiology and Medical Informatics (IMBEI) Saarland University is supporting the sample size calculation, study design, data management and evaluation using PASS 2019 (NCSS, LLC, Kaysville, Utah, USA) and SPSS (Version 27 IBM SPSS Statistics, Armonk, New York, USA). Data were collected by using Excel 2019 (Microsoft, Redmond, USA). A sample size of 110 produces a two-sided 95% confidence interval with a distance from the mean to the limits that is equal to 2.835 when the estimated standard deviation is 15.0. A sample size of 110 produces a two-sided 95% confidence interval with a width equal to 0.187 when the sample proportion is 0.50.</p>
<p>Continuous measures are presented as means &#xb1; standard deviations (SD) or medians (range). Categorical variables are presented as frequencies (percentage). For continuous variables normality is tested using Shapiro-Wilk-Test. In case of non-rejection of normality two-group comparisons are due to the t-test for two independent samples. For more than two groups, comparisons are due to one-way Analysis of Variance (ANOVA). Comparing two repeated measurements, t-test for 2 dependent samples is used and for more than two we use repeated measures ANOVA. In case of rejection of normality, Mann-Whitney U-test, Kruskal-Wallis-test, Wilcoxon test for two dependent samples and Friedman-test are used, respectively. For group comparisons considering categorical variables the chi-squared test and for repeated measures McNemars&#x2019;s test are applied. Considering possible confounding we use subgroup analyses for categorical subgroups or propensity-score-matching otherwise. Statistical significance will be calculated using appropriate statistical methods with two-sided p-values &lt; 0.05. The statistical analyses are explorative, so there will be no correction for multiple testing.</p>
<p>Data cleanup will include tests for missing data and plausibility. Depending on the degree of incompleteness or lack of accuracy, all, or some of the data from a patient will be excluded from further evaluation. In the case of a study drop out prior the last follow up visit, the patient&#x2019;s data will only be included, and tests will be performed to identify potential predictors for a study drop-out (e.g., age or weight) that might introduce a bias. The risk of bias will be discussed in any publications of the data.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Discussion</title>
<p>The BEGYN study will provide a holistic insight into the physical activity in relation to the physiological and psychological dynamics during the first year after diagnosis of non-metastatic breast cancer. The complex interplay between the underlying disease, antineoplastic therapy and individual constitution affects the patient <italic>in toto</italic>. Thus, therapeutic approaches must not be limited to surgery, antineoplastic medication, radiotherapy and psychological intervention alone, but should include the motivation for supportive activities such as exercise, which has great effect on the quality of life and prognosis (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B99">99</xref>&#x2013;<xref ref-type="bibr" rid="B101">101</xref>). A better knowledge of biomarkers is a prerequisite to assess the effects of complementary therapies and to develop personalized strategies for rehabilitation, e.g., regarding the type and dose of exercise (<xref ref-type="bibr" rid="B9">9</xref>). Therefore, the BEGYN study unites multiple validated assessments, allowing cross-linking analyses between the level of physical activity, cardiopulmonary fitness, body composition, biochemical measurements, an in-depth immune status including quantification of circulating lymphocyte subpopulations, mRNA expression and cytokine profiles and an extensive evaluation of psychological factors.</p>
<sec id="s3_1">
<title>3.1 Novelty of the Approach</title>
<p>Whereas most studies investigating the influence of physical activity in breast cancer patients focus on specific activities for three months or less, the BEGYN study will quantify the daily physical activity and cardiorespiratory fitness of breast cancer patients based on objective measurements in the context of the oncological therapy for 12 months after diagnosis. Multiple studies have shown that physical activity can have positive effects in breast cancer patients (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Guidelines recommend physical activity during breast cancer treatment, in example in the United States (<xref ref-type="bibr" rid="B102">102</xref>), in Great Britain (<xref ref-type="bibr" rid="B103">103</xref>), in Germany (<xref ref-type="bibr" rid="B39">39</xref>) and others. In particular, physical activity appears to have a positive effect on breast cancer associated fatigue syndrome (<xref ref-type="bibr" rid="B3">3</xref>) and on the overall quality of life (<xref ref-type="bibr" rid="B104">104</xref>). However, multiple aspects including the underlying mechanisms remain poorly understood. The BEGYN study will contribute important data to understand the influence of physical activity on the dynamics during the first year of breast cancer treatment and may reveal potential modifiers of the patient&#x2019;s well-being.</p>
<sec id="s3_1_1">
<title>3.1.1 Holistic Approach</title>
<p>To our knowledge, the BEGYN study is one of the largest studies with a very broad approach in breast cancer patients that will allow to identify associations between physical, psychological and laboratory variables, thus linking aspects that are often studied separately in breast cancer patients. Regarding the assessment of physical activity, it will be of particular interest to discuss the results of the BEGYN study in the light of other ongoing highly innovative studies such as the PROTECT study which also includes patients with colorectal cancer and lung cancer (<xref ref-type="bibr" rid="B6">6</xref>). One of the major strengths is the continuous recording of the patient&#x2019;s physical activity and well-being by diary and by use of a fitness tracker since physical activity encompasses not only explicit sports activities, which may last a few hours per week, but also activity during everyday activities. Various forms of physical activity have been proposed, such as yoga, Tai Chi Chuan, Nordic walking, jogging, weight training, cycling, dancing and many others (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B47">47</xref>). However, it has been claimed that individualized recommendations are needed to meet the needs of the patient (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B105">105</xref>). By using the concept of metabolic equivalents (MET), the BEGYN study will&#xa0;allow comparing effects of physical activities of similar intensities independent of the type of exercise. Since nutrition, food supplements and lifestyle may significantly influence the&#xa0;effects of exercise and antineoplastic therapies, these variables are assessed by using questionnaires and the self-assessment diary.</p>
</sec>
<sec id="s3_1_2">
<title>3.1.2 One Year Study Schedule</title>
<p>The BEGYN study will yield an overview on a relatively long period of 12 months after diagnosis, starting before any specific antineoplastic therapy. Thus, the patient will typically be observed beyond the initial steps of therapy, which are also often associated with psychoemotional distress. This may give insight into predictors of a more favorable long-term management towards a new physical and psychological balance. Moreover, the 12 months study period will reduce potential artifacts due to seasonal effects which can, in example, influence outdoor activities and Vitamin D concentrations. The role of Vitamin D in carcinogenesis and cancer therapy is still under debate. Importantly, serial measurements of 2,5 OH Vitamin D concentrations in peripheral blood and assessment of therapeutic Vitamin D intake may give insight into the role of Vitamin D metabolism and may also provide data on the interaction between antineoplastic therapy and Vitamin D. In addition, the BEGYN study will yield serial selenium concentrations and insight on the consumption of selenium by the patients, which often is provided as a self-medication, causing significant financial burden for some patients.</p>
</sec>
<sec id="s3_1_3">
<title>3.1.3 Comparison of Different Antineoplastic Therapies</title>
<p>The BEGYN study will allow to compare patients with various antineoplastic therapies, i.e., endocrine therapy, chemotherapy, surgery, and radiotherapy. Due to the strict adherence to the national guideline, therapy concepts are to be expected representative for the German national standard.</p>
</sec>
<sec id="s3_1_4">
<title>3.1.4 Immunophenotyping</title>
<p>The BEGYN study will yield a deep insight into the innate and adaptive immune system during the first year after diagnosis of non-metastatic breast cancer (<xref ref-type="bibr" rid="B62">62</xref>). Inflammatory processes are a crucial part of the physiological response to cancer cells. Simultaneously, the BEGYN study will shed light on the effects of endocrine therapy and of chemotherapy on the immune system. Moreover, it is well recognized that moderate physical activity is associated with an improved immune status whereas excessive physical activity leads to an increase susceptibility towards (viral) infections (<xref ref-type="bibr" rid="B22">22</xref>). Interestingly, natural killer (NK) cells play a key role in sports physiology and in restricting tumor growth (<xref ref-type="bibr" rid="B64">64</xref>). Thus, the BEGYN study will be among the first studies to quantify four distinct subsets of NK cells in relation not only to breast cancer and antineoplastic therapy, but also in relation to the extent and type of physical activity.</p>
<p>The BEGYN study also has some limitations, such as the single center approach. However, the data will serve as a basis for designing future multicenter studies. In example, the results of the BEGYN study might help focusing the highly detailed immunophenotyping regarding the characterization of leukocyte subsets, mRNA transcripts and cytokines to the most promising variables in future study protocols. One further limitation of the study is that the quality of self-assessments may underlie intra-individual and inter-individual variations when filling out the self-assessment diary (e.g. daily documentation of physical activities, weekly read outs of the measurements of the fitness tracker etc.). Due to the need of serial measurements of the body composition, ethical concerns on X-ray exposure were the reason to use bioimpedance analysis and plicometry rather than Dual-energy X-ray absorptiometry, which is regarded as the gold standard (<xref ref-type="bibr" rid="B106">106</xref>). With regard to the known limitations of bioimpedance analysis and plicometry, we will compare the intra-individual relative changes over time instead of absolute values (<xref ref-type="bibr" rid="B107">107</xref>). In addition, we will further extend the data by estimating the body composition from the routine CT scans of the study patients (<xref ref-type="bibr" rid="B56">56</xref>). The BEGYN study is an observational study, thus potential causal relationships must be interpreted carefully. Ethical concerns would not allow randomizing patients into a group that would not be encouraged to exercise since this would conflict with the high evidence guidelines. However, the BEGYN study might help defining valid methods of continuous registration of physical activity for future studies to compare the role of various types of exercise, e.g., training of strength versus endurance.</p>
</sec>
</sec>
<sec id="s3_2">
<title>3.2 Conclusion</title>
<p>The holistic approach over 12 months including physiological, psychological, and immunological data is the main strength of the BEGYN study. By including a homogeneous group of 110 female non-metastatic breast cancer patients, the study will provide highly valid data on the complex interplay between physical activity, underlying disease, type of therapy and psychological parameters.</p>
<p>The BEGYN study provides a uniquely thorough analysis of non-metastatic breast cancer patient during the first year after diagnosis.</p>
</sec>
<sec id="s3_3">
<title>3.3 Ethics and Dissemination</title>
<p>The study is carried out at the Department for Gynecology, Saarland University Medical Center and has been approved by the ethics committee of the Medical Association of Saarland (study # 229/18). Written consent is obtained from the patient in accordance with the Declaration of Helsinki. Any amendment to the protocol will require the formal modification and approval by the same local ethics committee that approved the study prior to implementation and will be described transparently in subsequent reports. This study is registered at German Clinical Trials Register (DRKS) (DRKS00024829). Patient recruitment took place between September 2019 and January 2021 and data collection will continue until March 2022.</p>
</sec>
</sec>
<sec id="s4">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by ethics committee of the Medical Association of Saarland (study # 229/18). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s5">
<title>Author Contributions</title>
<p>CZ designed the study and wrote the first draft of the manuscript. GW performed sample size calculations, gave advice for statistical analyses and helped drafting the manuscript. CS, JS, CW, CM, LA, ML, L-SS, LK, and IT performed the clinical experiments, helped with the study design, and helped writing the manuscript. CM helps to raise funding and helped writing the manuscript. EK, RS, and SG-F performed the laboratory experiments and helped writing the manuscript. MZ, GS, and E-FS gave advice for the study design, supervised the study, and helped writing the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s6" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by <italic>miteinander gegen Krebs e.V.</italic> and&#xa0;by the intramural funds of the Saarland University Medical Center.</p>
</sec>
<sec id="s7" 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="s8" 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>
</body>
<back>
<sec id="s9">
<title>Acknowledgments</title>
<p>The authors would like to thank Dr. Maria Cacacciola-Ketter, Cross against Cancer &#x2013; <italic>miteinander gegen Krebs e.V.</italic>, Bernd Neuhardt (Laufschule Saarpfalz, Runners Gym Zweibr&#xfc;cken), Ellen Maurer.</p>
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