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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="review-article" xml:lang="en"><processing-meta tagset-family="jats" base-tagset="archiving" mathml-version="3.0" table-model="xhtml"><custom-meta-group><custom-meta assigning-authority="highwire" xlink:type="simple"><meta-name>recast-jats-build</meta-name><meta-value>d8e1462159</meta-value></custom-meta></custom-meta-group></processing-meta><front><journal-meta><journal-id journal-id-type="hwp">jitc</journal-id><journal-id journal-id-type="nlm-ta">J Immunother Cancer</journal-id><journal-id journal-id-type="publisher-id">jitc</journal-id><journal-title-group><journal-title>Journal for ImmunoTherapy of Cancer</journal-title><abbrev-journal-title abbrev-type="publisher">J Immunother Cancer</abbrev-journal-title><abbrev-journal-title>J Immunother Cancer</abbrev-journal-title></journal-title-group><issn pub-type="epub">2051-1426</issn><publisher><publisher-name>BMJ Publishing Group Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">jitc-2020-001872</article-id><article-id pub-id-type="doi">10.1136/jitc-2020-001872</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/9/7/e001872.atom</article-id><article-categories><subj-group subj-group-type="heading"><subject>Review</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Open access</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Reviews</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>Open access</subject></subj-group></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>JITC</subject><subj-group><subject>Reviews</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title>Exercise and the immune system: taking steps to improve responses to cancer immunotherapy</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes" id="author-78559790" xlink:type="simple"><name name-style="western"><surname>Gustafson</surname><given-names>Michael P</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-83934415" xlink:type="simple"><name name-style="western"><surname>Wheatley-Guy</surname><given-names>Courtney M</given-names></name><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" id="author-83934507" xlink:type="simple"><name name-style="western"><surname>Rosenthal</surname><given-names>Allison C</given-names></name><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author" id="author-83934523" xlink:type="simple"><name name-style="western"><surname>Gastineau</surname><given-names>Dennis A</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-83934563" xlink:type="simple"><name name-style="western"><surname>Katsanis</surname><given-names>Emmanuel</given-names></name><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author" id="author-83934586" xlink:type="simple"><name name-style="western"><surname>Johnson</surname><given-names>Bruce D</given-names></name><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" id="author-83934628" xlink:type="simple"><name name-style="western"><surname>Simpson</surname><given-names>Richard J</given-names></name><xref ref-type="aff" rid="aff5">5</xref></contrib><aff id="aff1"><label>1</label><institution content-type="department" xlink:type="simple">Laboratory Medicine and Pathology</institution>, <institution xlink:type="simple">Mayo Clinic Arizona</institution>, <addr-line content-type="city">Phoenix</addr-line>, <addr-line content-type="state">Arizona</addr-line>, <country>USA</country></aff><aff id="aff2"><label>2</label><institution content-type="department" xlink:type="simple">Department of Cardiovascular Diseases</institution>, <institution xlink:type="simple">Mayo Clinic Arizona</institution>, <addr-line content-type="city">Scottsdale</addr-line>, <addr-line content-type="state">Arizona</addr-line>, <country>USA</country></aff><aff id="aff3"><label>3</label><institution content-type="department" xlink:type="simple">Hematology/Oncology</institution>, <institution xlink:type="simple">Mayo Clinic Arizona</institution>, <addr-line content-type="city">Phoenix</addr-line>, <addr-line content-type="state">Arizona</addr-line>, <country>USA</country></aff><aff id="aff4"><label>4</label><institution content-type="department" xlink:type="simple">Pediatrics, Immunobiology</institution>, <institution xlink:type="simple">University of Arizona Medical Center - University Campus</institution>, <addr-line content-type="city">Tucson</addr-line>, <addr-line content-type="state">Arizona</addr-line>, <country>USA</country></aff><aff id="aff5"><label>5</label><institution content-type="department" xlink:type="simple">Pediatrics, Immunobiology, and Nutritional Sciences</institution>, <institution xlink:type="simple">University of Arizona Medical Center - University Campus</institution>, <addr-line content-type="city">Tucson</addr-line>, <addr-line content-type="state">Arizona</addr-line>, <country>USA</country></aff></contrib-group><author-notes><corresp><label>Correspondence to</label> Dr Michael P Gustafson; <email xlink:type="simple">gustafson.michael@mayo.edu</email></corresp></author-notes><pub-date date-type="pub" iso-8601-date="2021-07" pub-type="ppub" publication-format="print"><month>7</month><year>2021</year></pub-date><pub-date date-type="pub" iso-8601-date="2021-07-02" pub-type="epub-original" publication-format="electronic"><day>2</day><month>7</month><year>2021</year></pub-date><pub-date iso-8601-date="2021-07-01T06:09:11-07:00" pub-type="hwp-received"><day>1</day><month>7</month><year>2021</year></pub-date><pub-date iso-8601-date="2021-07-01T06:09:11-07:00" pub-type="hwp-created"><day>1</day><month>7</month><year>2021</year></pub-date><volume>9</volume><issue>7</issue><elocation-id>e001872</elocation-id><history><date date-type="accepted" iso-8601-date="2021-05-30"><day>30</day><month>05</month><year>2021</year></date></history><permissions><copyright-statement>© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</copyright-statement><copyright-year>2021</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" xlink:type="simple"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2021-07-02">http://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref><license-p>This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" xlink:type="simple">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="jitc-2020-001872.pdf" xlink:type="simple"/><abstract><p>The remarkable success of cancer immunotherapies has provided new hope to cancer patients. Unfortunately, a significant proportion of patients remain unable to respond to immunotherapy or maintain durable clinical responses. The lack of objective responses likely results from profound immune dysfunction often observed in patients with cancer. There is substantial evidence that exercise and physical activity can reduce incidence and improve outcomes in cancer patients. As the immune system is highly responsive to exercise, one potential avenue to improve immune function is through exercise and physical activity. A single event of dynamic exercise results in the substantial mobilization of leukocytes with increased functional capacities into the circulation. Chronic, or long-term, exercise leads to higher physical fitness in terms of greater cardiorespiratory function and/or muscle strength and endurance. High aerobic capacity, as measured by maximal oxygen uptake, has been associated with the reduction of dysfunctional T cells and improvements in the abundance of some T cell populations. To be sure, however, the mechanisms of exercise-mediated immune changes are both extensive and diverse. Here, we examine the evidence and theorize how acute and chronic exercise could be used to improve responses to cancer immunotherapies including immune checkpoint inhibitors, dendritic cell vaccines, natural killer cell therapies, and adoptive T cell therapies such as chimeric antigen receptor (CAR) T cells. Although the parameters of optimal exercise to yield defined outcomes remain to be determined, the available current data provide a compelling justification for additional human studies and clinical trials investigating the adjuvant use of exercise in immuno-oncology.</p></abstract><kwd-group><kwd>immunocompetence</kwd><kwd>immunotherapy</kwd><kwd>translational medical research</kwd></kwd-group><funding-group specific-use="FundRef"><award-group id="funding-1" xlink:type="simple"><funding-source xlink:type="simple"><institution-wrap><institution xlink:type="simple">Mayo Clinic Center for Regenerative Medicine</institution></institution-wrap></funding-source></award-group></funding-group><custom-meta-group><custom-meta xlink:type="simple"><meta-name>special-feature</meta-name><meta-value>unlocked</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>The promise of cancer immunotherapy is rapidly transforming the field of oncology. The accumulation of vast experimental data derived from animal models and from clinical trials demonstrates that there are multiple aspects to generate successful durable clinical responses in patients receiving immunotherapy: the specificity, magnitude, and diversity of the immune response all contribute to the formation of immunological memory. One of the major obstacles to successful responses to immunotherapy is that systemic immunity in cancer patients is often impaired as a result of multiple diverse mechanisms. Emerging evidence suggests that optimal systemic immunity is critical for longer overall survival of patients with cancer and durable clinical responses to immunotherapy.<xref ref-type="bibr" rid="R1 R2 R3">1–3</xref></p><p>A large body of evidence suggests that exercise and physical activity improves the overall health of patients with cancer and may prolong survival.<xref ref-type="bibr" rid="R4 R5 R6 R7">4–7</xref> Physical activity is defined as any bodily movement produced by skeletal muscles or that requires contraction of your muscles and energy expenditure.<xref ref-type="bibr" rid="R8">8</xref> Exercise is a form of physical activity that involves repetitive bodily movement done in a planned and structured manner with the goal of improving or maintaining one or more components of physical health or fitness.<xref ref-type="bibr" rid="R9">9</xref> Since there is such a strong association between exercise and improved outcomes in cancer patients, we suggest that a complementary approach to improving responses to immunotherapies is to strengthen systemic immunity and patient immune responses via exercise thereby allowing a more potent therapeutic response. There have been numerous studies recently published that reveal some provocative data on how exercise influences immune cell populations and their function. As such, the purpose of this review is to appraise the literature and present the scientific premise by which physical activity and exercise has the potential to restore and optimize the immune system’s responses to cancer immunotherapy. Additionally, we will assess the strategy of utilizing exercise regimens to improve outcomes in patients receiving cancer immunotherapy. While we will focus primarily on human data, animal models will be discussed to shed light on potential mechanisms and to provide guidance on future investigations where there are gaps in the literature in human studies.</p></sec><sec id="s2"><title>Exercise as medicine</title><p>The use of exercise as a medicine requires an understanding of the appropriate dose of exercise to achieve the desired effect. On an individual basis, the optimal health effects of physical activity and exercise are dependent on their appropriate dose in relation to their physical fitness.<xref ref-type="bibr" rid="R10">10</xref> Exercise can be performed in three general categories: acute exercise, exercise training, and chronic exercise. Acute exercise encompasses single defined events with repetitions over a short period of time. Exercise training (high intensity interval training, for example) typically involves consistent frequent events over the course of many weeks to months. Chronic exercise describes consistent and frequent exercise over a long period of time (generally over a year). While physical activity and exercise are often used interchangeably, these terms are used to reflect activities related to fitness. The term physical fitness relates to ‘a set of attributes that people have or achieve that relates to the ability to perform physical activity’ as defined by the US Department of Health and Human Services. Physical fitness has multiple components: cardiorespiratory fitness, muscular strength, muscular endurance, body composition and flexibility. The exercise dose is highly dependent on the FITT principles (<underline>F</underline>requency, <underline>I</underline>ntensity, <underline>T</underline>ime, and <underline>T</underline>ype) and these aspects of exercise must be considered for is crucial for generating desired outcomes.<xref ref-type="bibr" rid="R11">11</xref> The heterogeneous and inconsistent results that are often observed when exercise is used as medicine results from the variability of the FITT principles applied to the study design. This variability is perhaps one of the most significant problems in the exercise field and prevents simplifying the recommended amounts of exercise that are associated with physiological benefits. Fortunately, this need has been recognized as we and other groups in the field have published studies to optimize and standardize methods to better define the exercise dose in a given study.<xref ref-type="bibr" rid="R12 R13 R14 R15">12–15</xref></p><p>Since there are different components of exercise and fitness, the parameters to be measured should be appropriate for assessing the desired outcome. Several parameters have been used in the exercise setting and include measurements of heart rate, blood pressure, body mass index (BMI), lean body mass, work expenditure, forced expiratory volume/capacity, and maximal oxygen uptake (VO<sub>2</sub>max). VO<sub>2</sub>max is the gold standard for evaluating aerobic capacity/cardiorespiratory fitness and can be objectively measured during a graded cardiopulmonary exercise test with respiratory gas exchange.<xref ref-type="bibr" rid="R16">16</xref> VO<sub>2</sub>max is considered the best indicator of cardiorespiratory fitness and the strongest independent predictor of future survival.<xref ref-type="bibr" rid="R17">17</xref> High VO<sub>2</sub>max values are the result of higher cardiac outputs, better blood flow, better oxygen delivery, and improved mitochondrial function and volume.<xref ref-type="bibr" rid="R18 R19">18 19</xref> The assessment of physical activity can also be performed by questionnaires or surveys. Information gathered from these questions can be used to assess energy expenditure in the form of metabolic equivalent tasks.<xref ref-type="bibr" rid="R20">20</xref> The incorporation of these measurements is then used to define the total exercise dose/amount/load during a given time. Depending on the study design, investigators may wish to define an acute dose that all subjects perform in a particular study or perform an assessment of a lifetime dose for correlative associations. For a further in depth discussion of the comparisons of different methodologies to quantify the exercise dose and how to put these concepts into clinical practice, we would refer the reader to an excellent review by Wasfy and Baggish.<xref ref-type="bibr" rid="R21">21</xref></p></sec><sec id="s3"><title>The immune system is highly responsive to exercise</title><p>Exercise improves immune function in part by mitigating the detrimental effects of immune dysfunction caused by both aging (immunosenescence and inflammaging), and obesity (both inflammatory and immunosuppressive mechanisms).<xref ref-type="bibr" rid="R22 R23 R24 R25 R26 R27">22–27</xref> However, exercise also induces substantial changes to both the innate and adaptive immune responses. Before these mechanisms are discussed, however, it is important to appreciate the nexus between skeletal muscle and the immune system.</p><sec id="s3-1"><title>The myokine connection</title><p>Muscle has been recognized as a major secretory organ<xref ref-type="bibr" rid="R28">28</xref> as over 300 proteins have been identified to be secreted from resting muscle.<xref ref-type="bibr" rid="R29">29</xref> As nearly half of the human body mass is composed of muscle, the muscle releases a substantial amount of proteins that regulate many physiological processes. Many of these proteins have been defined as myokines, or muscle-derived cytokines. In addition to supporting glucose metabolism and myogenic growth, these myokines mediate beneficial functions on the immune system. The most prominent myokines relevant to supporting both muscle and immune health are interleukin 4 (IL-4), IL-6, IL-7, IL-8, and IL-15.<xref ref-type="bibr" rid="R28">28</xref> IL-6 released from contracting muscles rises exponentially with increasing intensity and duration of exercise to nearly 100 times the baseline plasma levels in peripheral blood.<xref ref-type="bibr" rid="R30 R31">30 31</xref> While IL-6 has both prominent proinflammatory and anti-inflammatory properties, in the context of exercise, the induction of IL-6 produces an anti-inflammatory effect, without the preceding increase in tumor necrosis factor α (TNFα) levels observed in proinflammatory conditions, and functions to stimulate gluconeogenesis.<xref ref-type="bibr" rid="R32">32</xref> Circulating anti-inflammatory cytokines like IL-1 receptor antagonist and IL-10 are amplified with concurrent declines in TNF-α because of exercise-mediated IL-6 release.<xref ref-type="bibr" rid="R33">33</xref> Chronic exercise also appears to reduce resting levels of IL-6 in circulation.<xref ref-type="bibr" rid="R32">32</xref></p><p>IL-15 and IL-7, two cytokines critical for maintaining T cell homeostasis, are also highly expressed and secreted by exercising skeletal muscle.<xref ref-type="bibr" rid="R34 R35">34 35</xref> Vigorous acute exercise leads to a strong induction of both mRNA levels and circulating plasma levels of these cytokines.<xref ref-type="bibr" rid="R35 R36 R37">35–37</xref> IL-7 and IL-15 are critical T cell homeostatic cytokines that coordinate to replenish naïve and memory cell populations. IL-7 provides survival and proliferative signals for recent thymic emigrants (RTE) and naïve T cells but also supports the generation and persistence of memory cells following antigen exposure.<xref ref-type="bibr" rid="R38 R39">38 39</xref> IL-15 appears to primarily support the expansion of memory T cells and CD8<sup>+</sup> memory T cells are particularly sensitive to IL-15. Muscle-specific ablation of IL-15 in mice led to reduced total CD8 +T cells which exhibited higher markers of exhaustion including Programmed cell death protein (PD-1), CD244, LAG-3 and TIGIT.<xref ref-type="bibr" rid="R40">40</xref> Wallace <italic toggle="yes">et al</italic> found that IL-15 and IL-7 were both capable of promoting cell survival through upregulating antiapoptotic mechanisms and telomerase activity to preserve telomere length. The cytokines also stimulated proliferation without inducing differentiation of T cells by phenotypic change or acquisition of effector function.<xref ref-type="bibr" rid="R41">41</xref> In support of the coordination between these two cytokines, Cieri <italic toggle="yes">et al</italic> found that IL-7 promotes the induction of a self-renewing, stem-cell like memory CD8<sup>+</sup> T cell subset (Tscm) and IL-15 subsequently was required for the expansion of these specialized memory subsets.<xref ref-type="bibr" rid="R42">42</xref> IL-15 is also critical for proper proliferation and differentiation of natural killer (NK) cells.<xref ref-type="bibr" rid="R43">43</xref> The connection of muscle-derived cytokines and immune effector cell homeostasis is an area ripe for further investigation as it has been proposed that the diminished secretory output of these cytokines as a result of aging-related sarcopenia is a critical mechanism for the development of immune senescence.<xref ref-type="bibr" rid="R44">44</xref> Overall, it is apparent that the induction of muscle-derived cytokines supports healthy immune effector cell populations by maintaining a proper balance of pro-inflammatory and anti-inflammatory mediators and by supporting appropriate homeostatic mechanisms.</p></sec><sec id="s3-2"><title>Acute exercise: increased mobilization of leucocytes</title><p>In response to acute dynamic exercise (eg, running, cycling, rowing), there is a robust and almost instantaneous mobilization of leukocytes to the blood compartment. While granulocytes account for a large proportion of the mobilized cells, both the granulocyte to lymphocyte and monocyte to lymphocyte ratios are reduced indicating that exercise preferentially recruits lymphocytes to the bloodstream.<xref ref-type="bibr" rid="R45">45</xref> There is also a preferential mobilization of lymphocyte subsets in the order of greatest magnitude of relative change—NK-cells, gamma delta (γδ) T-cells, CD8+ T cells, CD4+ T cells and B-cells.<xref ref-type="bibr" rid="R45 R46 R47">45–47</xref> Within these subsets, there also appears to be a preferential mobilization of those cell types with phenotypic characteristics of high differentiation and migration potential.<xref ref-type="bibr" rid="R45">45</xref> Lymphocytes also display rapid egress kinetics with NK-cells in particular, despite increasing threefold to fivefold during the exercise, reverting to near resting levels within just a few minutes after exercise cessation.<xref ref-type="bibr" rid="R47">47</xref> In the early phase of exercise recovery (eg, 1 hour after exercise cessation), blood T-cells exhibit an activated cytokine-secreting profile and NK-cells are better equipped to kill certain hematologic cancer cell lines in vitro.<xref ref-type="bibr" rid="R48 R49 R50">48–50</xref> Similarly, γδ T-cells mobilized with exercise expand more readily when stimulated with bisphosphonate antigens resulting in phenotypic shifts that promote increased cytotoxicity against a range of hematologic tumor cell lines including those derived from leukemia, lymphoma and multiple myeloma.<xref ref-type="bibr" rid="R51">51</xref> The release of cytokines catecholamines and other hormones are largely involved in the mobilization, priming and/or redistribution of activated effector lymphocytes in response to acute exercise and several groups, including ours, have suggested that this acute stress response should be harnessed for therapeutic purposes such as boosting immune responses to vaccination or obtaining more potent immune cell products from the blood for cellular therapy.<xref ref-type="bibr" rid="R52 R53 R54">52–54</xref></p></sec><sec id="s3-3"><title>Acute exercise: increased immune surveillance</title><p>Since exercise redeploys massive numbers of lymphocytes with each bout, acute exercise has been purported to increase immune surveillance due to the frequent mobilization and redistribution of effector lymphocytes. This idea was best demonstrated by Pedersen <italic toggle="yes">et al</italic> who reported that voluntary wheel running reduced tumor incidence and growth by ~60% across five different murine tumor models via mechanisms that are dependent on the catecholamine-induced mobilization and redistribution of NK-cells.<xref ref-type="bibr" rid="R55">55</xref> Greater numbers of NK-cells were found in the tumors of exercised mice compared with controls, but not when mice were administered propranolol (non-selective beta-blocker) to prevent catecholamine-mediated NK-cell mobilization. Further, the exercise effects were replicated in non-exercised mice injected with daily doses of epinephrine underscoring the importance of catecholamines in facilitating immune cell mobilization and redistribution. The idea that each exercise bout contributes to improvements in antitumor immune surveillance is bolstered by a previous study from our group that T-cells mobilized into the blood with acute exercise are more responsive to ex vivo stimulation with autologous antigen presenting cells pulsed with tumor associated antigens such as the Wilms Tumor antigen (WT1), preferentially expressed antigen in melanoma (PRAME), and melanoma-associated antigen 4 (MAGE-A4).<xref ref-type="bibr" rid="R56">56</xref> As such, the beneficial effects of chronic exercise may be due to the fact that immune cells are mobilized and redeployed with every exercise bout, thus improving immune surveillance without necessarily altering immune competency at the basal (ie, individual cell) level. Indeed, despite exercise-mobilized NK-cells being shown to play an important role in the antitumor effects of exercise,<xref ref-type="bibr" rid="R55">55</xref> exercise training interventions in humans often results in little to no changes in NK-cell activity in vitro,<xref ref-type="bibr" rid="R57 R58 R59">57–59</xref> although we did report recently that changes in NK-cell function might be more marked in those that show the greatest changes in aerobic fitness following the intervention.<xref ref-type="bibr" rid="R59">59</xref> We should note here that most studies to date have described the effects of exercise training on ‘static’ endpoints of immune function using standardized in vitro based assays (eg, NK-cell cytotoxicity or T-cell proliferation using cells obtained from resting blood). We contend that immune system adaptations to exercise training might be better observed using ‘dynamic’ endpoints such as the number of NK-cells and T-cells that can be mobilized with exercise, and/or the ability of these cells to traffic toward and infiltrate tumors in xenogeneic mouse models.</p></sec><sec id="s3-4"><title>Chronic exercise: preserving functional T cells</title><p>Chronic exercise appears to mitigate the detrimental effects on T cells that are caused by a variety of conditions like obesity, aging, and chronic infection. <xref ref-type="table" rid="T1">Table 1</xref> lists the phenotypes that can be positively influenced by chronic exercise and phenotypes that have been shown to be correlated with high cardiorespiratory fitness (VO<sub>2</sub>max). In terms of improving responses to cancer immunotherapy, we hypothesize that chronic exercise could improve antitumor responses in multiple ways. First, chronic exercise is associated with lower proportions of senescent T cells and increased proportions of naïve T cells that are needed for optimal immune responses. In a study of over 100 healthy males aged 18–61, our group found a strong association between aerobic fitness (VO<sub>2</sub>max) and reduced populations of senescent CD8<sup>+</sup>KLRG1<sup>+</sup>CD28<sup>-</sup>, CD4<sup>+</sup>KLRG1<sup>+</sup>CD57<sup>+</sup>, and CD8<sup>+</sup>KLRG1<sup>+</sup>CD57<sup>+</sup> T cells.<xref ref-type="bibr" rid="R60">60</xref> The loss of CD28 and CD27 and/or the appearance of KLRG1 and CD57 on T cells are indicators of highly differentiated senescent T cells resulting from chronic antigen stimulation and are a classic feature of the aging immune system.<xref ref-type="bibr" rid="R60 R61 R62 R63">60–63</xref> T cell senescence is characterized by telomere shortening, impaired IL-2 release, and prolonged DNA damage responses leading to cell cycle arrest.<xref ref-type="bibr" rid="R61">61</xref> IL-2 regulates homeostatic maintenance of regulatory T cells and differentiation of antigen-activated T cells into effector subsets.<xref ref-type="bibr" rid="R64">64</xref> Interestingly, the proliferative defect of senescent cells may not be overcome by IL-2 or IL-15,<xref ref-type="bibr" rid="R65">65</xref> but IL-7 has been shown to prevent CD27 and CD28 loss, improve proliferation, and restore IL-2 production to T cells cultured in the presence of tumor cells.<xref ref-type="bibr" rid="R66">66</xref> The results from our Spielman <italic toggle="yes">et al</italic> study reveal that high cardiorespiratory fitness is associated with declines in the accumulation of defective T cells that have lost their ability to mediate antitumor responses.</p><table-wrap position="float" id="T1" orientation="portrait"><object-id pub-id-type="publisher-id">T1</object-id><label>Table 1</label><caption><p>T cell phenotypes associated with physical conditions and improved by chronic exercise or exercise training</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="1" colspan="1">T cell phenotype</td><td align="left" valign="bottom" rowspan="1" colspan="1">Associated with obesity and/or physical inactivity</td><td align="left" valign="bottom" rowspan="1" colspan="1">Associated with aging</td><td align="left" valign="bottom" rowspan="1" colspan="1">Associated with chronic infection (ie, CMV)</td><td align="left" valign="bottom" rowspan="1" colspan="1">Associated with physical fitness (VO<sub>2</sub>max)</td><td align="left" valign="bottom" rowspan="1" colspan="1">References</td></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">CD3<sup>+</sup> T cells</td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R71">71</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD8<sup>+</sup> T cells</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R46">46</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD4/CD8 ratio</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R46">46</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">γδ T cells</td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R46 R149">46 149</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Naïve T cells</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD4<sup>+</sup>CD45RA<sup>+</sup></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R71 R72 R150">71 72 150</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD8<sup>+</sup>CD45RA<sup>+</sup>CD27<sup>+</sup>CCR7<sup>+</sup>CD62L<sup>+</sup> also KLRG<sup>-</sup>CD28<sup>+</sup></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R46 R71">46 71</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Memory T cells</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD4<sup>+</sup>CD45RO<sup>+</sup> Memory</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R46 R71 R72">46 71 72</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD8<sup>+</sup>CD45RO<sup>+</sup> Memory T cells</td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R71">71</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Central memory T cells</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD4<sup>+</sup>CD45RA<sup>–</sup>CCR7<sup>+</sup> and CD8<sup>+</sup>CD45RA<sup>–</sup>CCR7<sup>+</sup></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R46 R71 R150">46 71 150</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Effector memory T cells</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD4<sup>+</sup>CD45RA<sup>–</sup>CCR7<sup>–</sup> and CD8<sup>+</sup>CD45RA<sup>–</sup>CCR7<sup>–</sup></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R46 R71 R150">46 71 150</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Effector T cells</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD4<sup>+</sup>CD45RA<sup>+</sup>CCR7<sup>–</sup> and CD8<sup>+</sup>CD45RA<sup>+</sup>CCR7<sup>–</sup></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R71">71</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Regulatory/immuno-suppressive T cells</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD4<sup>+</sup>CD25<sup>+</sup>Foxp3<sup>+</sup> or CD127<sup>lo</sup> Regulatory T cells</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R46 R71">46 71</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD4<sup>+</sup>CD28<sup>–</sup>CD57<sup>+</sup>KLRG1<sup>+</sup> and CD8<sup>+</sup>CD28<sup>-</sup>CD57<sup>+</sup> KLRG1<sup>+</sup> Senescent T cells</td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↓</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R60 R71">60 71</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD4<sup>+</sup>PD-1<sup>+</sup></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>↑</bold></td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"><xref ref-type="bibr" rid="R46">46</xref></td></tr></tbody></table><table-wrap-foot><fn id="T1_FN1"><p><bold>↑</bold>indicates condition increases phenotype and <bold>↓</bold> indicates condition decreases phenotype.</p></fn><fn id="T1_FN2"><p>*Indicates phenotype was not improved on in exercise by Duggal <italic toggle="yes">et al</italic>.<xref ref-type="bibr" rid="R71">71</xref></p></fn><fn id="T1_FN3"><p>CMV, cytomegalovirus; EMRA, effector memory RA +cells; PBMC, peripheral blood mononuclear cells; VO<sub>2</sub>max, maximal oxygen uptake.</p></fn></table-wrap-foot></table-wrap><p>Moreover, our group assessed the abundance and distribution of over 30 T cell phenotypes in sedentary and active men in baseline samples and in response to two types of acute exercise (an incremental maximal cycling test until exhaustion and an endurance cycling test of 45 min at 60% of maximum workload).<xref ref-type="bibr" rid="R46">46</xref> We found numerous T cell phenotypes associated with obesity/lean body mass (Tregs positively correlated with percent body fat) and physical inactivity (elevated CD4<sup>+</sup> memory cells and PD-1<sup>+</sup> cells in sedentary individuals) from baseline samples. In addition, we identified two phenotypes that significantly correlated with VO<sub>2</sub>max; γδ T cells as a percentage of CD3 +T cells, and naïve (CD45RA<sup>+</sup>CD27<sup>+</sup>CD62L<sup>+</sup>CCR7<sup>+</sup>) cells as a percentage of total CD8 +T cells. γδ T cells are very responsive to IL-15. On IL-15 exposure, these cells are rapidly activated via upregulation of CD69, HLA-DR, and CD56 expression, secrete high levels of IFNγ, become highly proliferative, and demonstrate increased cytotoxicity against tumor cells.<xref ref-type="bibr" rid="R67 R68">67 68</xref> CD4<sup>−</sup>CD8<sup>−</sup> T cells (or double negative T cells), of which γδ T cells comprise a large proportion of these cells, have also been shown to be responsive to IL-15, whereby IL-15 strongly induced their tumoricidal activity through upregulation of effector molecules including NKG2D, DNAM-1, and NKp30 as well as intracellular perforin and granzyme B.<xref ref-type="bibr" rid="R69">69</xref> Naïve CD8<sup>+</sup> T-cells with a CD45RA<sup>+</sup>CD27<sup>+</sup>CD62L<sup>+</sup>CCR7<sup>+</sup> phenotype contain a population of long-lived human memory stem-like T cells (T<sub>scm</sub>) characterized by additional cell surface markers including the IL-7 receptor-α (CD127), CD95, IL-2Rβ (IL-2 and IL-15 receptor), CXCR3, and LFA-1(70). These cells, which have a naïve cell surface phenotype but have functional attributes of memory cells, have enhanced capacity for self-renewal and a multipotent ability to derive central memory, effector memory and effector T cells. In a humanized mouse model, T<sub>scm</sub> cells demonstrated superior antitumor activity over other central and effector memory subsets.<xref ref-type="bibr" rid="R70">70</xref> Other groups have looked at the influence of chronic exercise on T cell subsets. Duggal <italic toggle="yes">et al</italic> found higher naïve CD4<sup>+</sup>, CD8<sup>+</sup> T cells, and RTE with lower frequencies of effector memory CD45RA+ subsets in old, highly active cyclists compared with aged matched control groups.<xref ref-type="bibr" rid="R71">71</xref> Additionally, they found that serum IL-7 and IL-15 levels were higher in older cyclists than both inactive old and young individuals. The percentage of naïve CD4<sup>+</sup> T cells levels were also correlated to IL-15 serum levels in the active cyclists.<xref ref-type="bibr" rid="R72">72</xref> In contrast to the effects of chronic exercise on these myokines, it appears that acute and short-term training regimens have had inconsistent impacts on changes in myokine levels. A recent longitudinal study in postmenopausal obese women found increased serum levels of the myokines IL-6 and IL-15 after 12 weeks of both aerobic and resistance exercise training.<xref ref-type="bibr" rid="R73">73</xref> In contrast, we did not find changes in serum IL-7 or IL-15 in response to 12 weeks of high intensity interval training or moderate intensity continuous training in women at high risk of breast cancer, although we acknowledge this study is limited by its small sample size and focus only on aerobic training.<xref ref-type="bibr" rid="R59">59</xref> Taken together, chronic exercise appears to reshape the T cell repertoire by reducing dysfunctional T cells and preserves and/or enhances naïve T cell populations that have high potential to generate immune responses leading to more efficient development of immunological memory. However, more longitudinal studies are needed to examine the effects of exercise training (both aerobic and resistance training) on serum myokine levels and their relationship with exercise-induced modulation of the T-cell compartment.</p></sec></sec><sec id="s4"><title>Potential mechanisms by which exercise could enhance immunotherapy</title><p>The eradication of tumors by the immune system requires a sequential and coordinated immune response. This repetitive series of steps has been termed the Cancer-Immunity Cycle and is described in more detail by Chen and Mellman.<xref ref-type="bibr" rid="R74">74</xref> Successful immunotherapy in patients with cancer requires an intervention to either initiate or boost this process. Although the interactions of dendritic cells and T cells are the most substantial mediators of antitumor responses, other cell types like NK cells are often critical in maintaining tumor control. In animal models, exercise has been shown to have direct antitumor effects on cancer cells via the regulation of the tumor microenvironment (TME) by altering oxygen tension and reduced nutrient availability to slow tumor growth (reviewed by Zhang <italic toggle="yes">et al</italic><xref ref-type="bibr" rid="R75">75</xref>). These changes may suggest one possible mechanism whereby exercise may improve responses to immunotherapy. In this next section, however, we will specifically outline (with a summary in <xref ref-type="table" rid="T2">table 2</xref>) yet to be established, although certainly testable, mechanisms by which exercise can augment responses to four major types of immunotherapy.</p><table-wrap position="float" id="T2" orientation="portrait"><object-id pub-id-type="publisher-id">T2</object-id><label>Table 2</label><caption><p>Potential mechanisms that could be employed to improve responses to immunotherapy via exercise</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Immunotherapy</td><td align="left" valign="bottom" rowspan="1" colspan="1">Mode of exercise</td><td align="left" valign="bottom" rowspan="1" colspan="1">Potential mechanisms to support immunotherapy</td></tr></thead><tbody><tr><td align="left" valign="top" rowspan="2" colspan="1">Immune checkpoint inhibitors</td><td align="left" valign="top" rowspan="1" colspan="1">Acute/training</td><td align="left" valign="top" rowspan="1" colspan="1">Increase in trafficking and homing of T cells to tumors<break/>Increase in T cell activation and proliferation<break/>Reduce infiltration of immunosuppressive myeloid cells to the TME</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Chronic/long term</td><td align="left" valign="top" rowspan="1" colspan="1">Diminish the presence of senescent T cells<break/>Improve T cell function and metabolism</td></tr><tr><td align="left" valign="top" rowspan="2" colspan="1">Adoptive, CAR, and γδ T cell Therapies</td><td align="left" valign="top" rowspan="1" colspan="1">Acute/training</td><td align="left" valign="top" rowspan="1" colspan="1">Increase in T cell numbers, including low frequency viral or antigen specific T cells, for ex vivo expansion<break/>Increase in trafficking and homing of T cells to tumors<break/>Increase in T cell activation, proliferation, and cytotoxicity<break/>Enhance persistence of T cells in vivo</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Chronic/long term</td><td align="left" valign="top" rowspan="1" colspan="1">Maintain homeostatic mechanisms for naïve T cell survival via IL-7<break/>Enhance persistence of T cells in vivo<break/>Decrease in dysfunctional senescent T cells</td></tr><tr><td align="left" valign="top" rowspan="2" colspan="1">NK Cell Therapies</td><td align="left" valign="top" rowspan="1" colspan="1">Acute/training</td><td align="left" valign="top" rowspan="1" colspan="1">Increase in cell numbers for ex vivo expansion<break/>Increase in trafficking and homing of NK cells to tumors<break/>Increase in NK cell activation, proliferation, and cytotoxicity<break/>Enhance persistence of NK cells in vivo</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Chronic/long term</td><td align="left" valign="top" rowspan="1" colspan="1">Prevent obesity-mediated NK cell dysfunction<break/>Enhance persistence of NK cells in vivo</td></tr><tr><td align="left" valign="top" rowspan="2" colspan="1">Cancer vaccines:<break/>Dendritic cells and acellular</td><td align="left" valign="top" rowspan="1" colspan="1">Acute/training</td><td align="left" valign="top" rowspan="1" colspan="1">Increase in cell yield from leukapheresis products<break/>Improve efficiency of DC maturation in vivo</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Chronic/long term</td><td align="left" valign="top" rowspan="1" colspan="1">Improve maintenance of circulating DCs normally lost during aging<break/>Decreased age-related decline in phagocytic activity, antigen presentation, migratory capacity of DCs</td></tr></tbody></table><table-wrap-foot><fn id="T2_FN1"><p>DCs, dendritic cells; NK, natural killer; TME, tumor microenvironment.</p></fn></table-wrap-foot></table-wrap><sec id="s4-1"><title>Immune checkpoint inhibitors</title><p>Immune checkpoint inhibitors comprise a class of drugs in the form of monoclonal antibodies that prevent immune regulatory proteins from turning off immune responses from effector cells. Drugs that target proteins that restrain T cell activation and/or proliferation like PD-1 and CTLA-4 are the two most common clinically used checkpoint inhibitors. Two recent studies have demonstrated in animal models that the combination of exercise during anti-PD-1 therapy slowed tumor growth to a greater degree than either modality alone. Wennerberg <italic toggle="yes">et al</italic> in a breast cancer model found that the incorporation of 30 min of treadmill activity 5 days/week during the course of PD-1 blockade/radiation therapy (RT) decreased tumor-infiltrating myeloid derived suppressor cells (MDSCs) and increased the infiltration of CD8<sup>+</sup> T cells thereby shifting the TME from immunosuppressive to a TME more conducive for effector cell function. Tumor growth was significantly slowed in animals that exercised during anti-PD-1/RT compared with sedentary animals receiving the same anti-PD-1/RT regimen.<xref ref-type="bibr" rid="R76">76</xref> In a patient-derived xenograft (PDX) non-small-cell lung cancer model, Martín-Ruiz <italic toggle="yes">et al</italic> also found that exercise in combination with PD-1 blockade reduce tumor growth exhibited by diminished tumor cell proliferation and increase tumor necrosis.<xref ref-type="bibr" rid="R77">77</xref> Interestingly, both studies found that exercise improved immune responses in part by limiting myeloid cell infiltration in the TME. In agreement with another animal breast cancer model, wheel running after the establishment of breast cancer limited the accumulation of MDSCs.<xref ref-type="bibr" rid="R78">78</xref> Since both polymorphonuclear MDSCs, monocytic MDSCs, and other immunosuppressive myeloid cells strongly negate responses to cancer immunotherapy,<xref ref-type="bibr" rid="R79 R80 R81">79–81</xref> exercise may improve immune responses to checkpoint blockade by limiting the effects of these cells. It should be noted that it appears that inactivity and/or obesity may have an opposite effect on the response to checkpoint blockade. In both animal models and human studies, the data suggest that obese individuals with higher BMI actually respond better to checkpoint inhibition.<xref ref-type="bibr" rid="R82 R83">82 83</xref> Donnelly <italic toggle="yes">et al</italic> contend that the impact of BMI on outcomes needs to be carefully scrutinized as many confounding variables (including age, gender, stage, lactate dehydrogenase, performance status, and BRAF mutation status) likely contribute to this phenomenon.<xref ref-type="bibr" rid="R84">84</xref> Although the preliminary data on the synergistic effect of exercise and checkpoint inhibition looks promising, the variables outlined by Donnelly <italic toggle="yes">et al</italic> will also likely influence investigations on the use of adjunct exercise in checkpoint blockade therapies.</p></sec><sec id="s4-2"><title>Adoptive T cell therapies</title><p>The clinical use of ex vivo expanded T cells has been a mainstay for cancer immunotherapies for decades. Although it is understood that there are differences in the manufacturing of tumor-infiltrating T cells, virus specific T cells, chimeric antigen receptor T (CAR-T) cells, and γδ T cells for therapeutic use, it is likely that the effects of exercise on T cell biology can be applied to each of these treatment modalities. Since acute exercise rapidly mobilizes and increases T cell numbers in peripheral blood, short bouts of exercise may simply be used to increase the numbers of T cells collected from leukapheresis procedures. This approach could potentially overcome manufacturing issues like the low cell numbers collected from lymphopenic patients, long culture times to produce sufficient T cells, and/or poor ex vivo expansion of T cells.<xref ref-type="bibr" rid="R85 R86 R87 R88">85–88</xref> Acute exercise under some conditions can result in a biphasic response, whereby cell populations can drop below baseline levels in the hours following the completion of the exercise. This phenomenon likely reflects a protective effect of immune cells redistributing into various organ sites as part of a response to stress.<xref ref-type="bibr" rid="R89 R90">89 90</xref> These mobilized cells have enhanced functional capacities and if harvested before redeployment into tissues, could also provide a superior population of cells for the manufacturing the process. With the improved yields of cells, it is likely that culture times to obtain the desired numbers for dosing can be shortened. Emerging evidence suggests that the antitumor activity of CAR-T cells may be enhanced by shorter culture times.<xref ref-type="bibr" rid="R91">91</xref> In addition, short term exercise can improve the collection of low-frequency T cells like γδ T cells, virus-specific T cells, and antigen specific T cells.</p><p>Prolonged T cell expansion and persistence in vivo are associated with better clinical outcomes in patients treated with T cell therapies.<xref ref-type="bibr" rid="R92 R93 R94">92–94</xref> We hypothesize, that exercise, both in the acute and the long-term settings, has the potential to significantly improve both the expansion and persistence of T cells. A connection between exercise and T cell expansion and persistence is potentially mediated by IL-7 and IL-15. As mentioned previously, skeletal muscle is a major source of IL-7 and IL-15 and the secretion of both are increased after exercise and the elevated levels may improve expansion and persistence in T cell immunotherapies. Preclinical models have shown that IL-15 and IL-7 contribute to superior CAR-T cell proliferation, effector functions, trafficking, survival, and antitumor activity.<xref ref-type="bibr" rid="R95">95</xref> In patients with advanced stage lymphoma treated with CAR-19 T cells, high serum levels of IL-15 were associated with greater peak CAR-T levels in circulation and lymphoma remissions.<xref ref-type="bibr" rid="R96">96</xref> One caveat to be noted here, is that a recently published study demonstrated reduced T cell counts in animal models subjected to 6 weeks of exercise training as a result of declining hematopoiesis.<xref ref-type="bibr" rid="R97">97</xref> While it is unknown about how long lasting these effects are, there will need to be some additional scrutiny in cancer patients to confirm and/or account for a potential drop in T cell counts during a particular bout of exercise or training session. However, the clinical observations in the CAR-T treatment setting provide a very provocative and testable hypothesis that frequent bouts of exercise sustain high levels of IL-7 and IL-15 for optimal expansion and persistence of adoptively transferred T cells. Moreover, by simply engaging in exercise after adoptive transfer therapy, the therapeutic cell products would undergo frequent mobilization and redistribution which is likely to increase their efficacy.</p><p>Chronic exercise moderates the effects of the aging immune system and likely augments responses to immunotherapy by preserving naïve T cells, reducing the accumulation of senescent T cells, and increasing the frequency of stem-cell like memory T cells. Each of these T cell populations can impact the manufacturing of T cells for clinical trials using ACT/CAR-T cells. The higher ratios of naïve T cells in long-term physically active individuals may be important as high ratios of memory T cells may potentially cause accelerated differentiation of naïve T cells into a KLRG<sup>+</sup>CD27<sup>lo</sup> senescent phenotype with diminished antitumor activities.<xref ref-type="bibr" rid="R98">98</xref> The presence of dysfunctional senescent T cells during the manufacturing process could result in lower yield of cells, higher numbers of T cells with insufficient cytokine and cytotoxic capacities, and inhibition of antigen presentation by dendritic cells.<xref ref-type="bibr" rid="R99">99</xref> Finally, our observations that naïve CD8<sup>+</sup> T cells were correlated with VO<sub>2</sub>max may likely suggest that long-term exercise, via skeletal muscle release of IL-7 and IL-15, promotes higher frequencies of cells highly responsive to initiating durable cellular immunity. In summary, our groups have independently found T cell populations associated with physical fitness parameters (VO<sub>2</sub>max), and obesity-related factors (BMI, % body fat, etc)<xref ref-type="bibr" rid="R46 R60">46 60</xref> the findings suggest that the body’s primary cells that mediate antitumor immunity are specifically influenced by physical fitness. As such, the emerging hypothesis that exercise may enhance the efficacy of T cell therapies by restoring the quantity, diversity, and function of T cell subsets in cancer patients is an exciting premise and warrants further study.</p></sec><sec id="s4-3"><title>NK cell therapies</title><p>Due to their diverse functions, NK cells have long been considered a desirable form of cellular immunotherapy.<xref ref-type="bibr" rid="R100">100</xref> NK cells have performed well clinically in hematologic malignancies and transplant settings.<xref ref-type="bibr" rid="R101">101</xref> In other settings, the clinical efficacy of NK cells has been inconsistent with many factors likely contributing to this problem. Manufacturing aspects such as low NK cell quantities in the leukapheresis product and poor ex vivo expansion and/or activation are significant obstacles. Once infused, the lack of persistence and in vivo expansion appear to be significant determining factors of whether patients will respond.<xref ref-type="bibr" rid="R102">102</xref> The collection of a leukapheresis product after acute exercise could potentially solve the manufacturing issues of low yields and ex vivo expansion since the product collected after exercise would contain approximately 5–10 times the amount of primed NK cells compared with routine leukapheresis collections. Exercise can also greatly limit the effects of obesity on NK cells. The excess lipid/fatty acid accumulation causes NK cell dysfunction by directly inhibiting mTOR-mediated glycolysis.<xref ref-type="bibr" rid="R103 R104">103 104</xref> Glycolysis and oxidative phosphorylation drive proper NK cell activation and these processes are initiated by cytokines like IL-2, IL-12, and IL-15.<xref ref-type="bibr" rid="R105">105</xref> IL-2 and IL-15 result in the upregulation of metabolic regulators mTORC and c-Myc resulting in sustained NK cell survival and great antitumor capacities.<xref ref-type="bibr" rid="R106 R107">106 107</xref> Since exercise training has been shown to reduce fatty acid levels in obese/sedentary individuals,<xref ref-type="bibr" rid="R108 R109">108 109</xref> chronic exercise can improve NK cell function by limiting the immunosuppressive effect of obesity on NK cells.</p></sec><sec id="s4-4"><title>Dendritic cell-based cancer vaccines</title><p>Cancer vaccines are used clinically to stimulate the immune system and generate T cells that can recognize tumor antigens and specifically kill tumor cells that express those antigens. Dendritic cells can be targeted in vivo with tumor antigens (ie, peptide injection into the intradermal layer of the skin) or by ex vivo cultured antigen-loaded dendritic cells that can also be injected into the intradermal layer. In vaccines manufactured using dendritic cells, circulating monocytes are obtained from leukapheresis collections, purified most commonly by elutriation or immunomagnetic selection, and then placed into ex vivo culture to differentiate the monocytes into dendritic cells. In the acute setting, exercise can be utilized to increase the yield of monocytes from leukapheresis collections. Since monocytopenia has been observed in patients with a variety of cancers,<xref ref-type="bibr" rid="R1 R110 R111">1 110 111</xref> the lack of adequate quantities of monocytes for the manufacturing of dendritic cell vaccines is a significant issue. We demonstrated a threefold increase in the number of circulating monocytes collected from healthy volunteers after they ran on a treadmill until with increasing intensity until volitional exhaustion.<xref ref-type="bibr" rid="R112">112</xref> Monocytes collected after the exercise exhibited similar cell surface phenotypes, maturation efficiency, and antigen uptake to monocytes taken from subjects without exercise. In addition, healthy volunteers that cycled for 20 min at 80% of VO<sub>2</sub>max in a single bout of acute exercise demonstrated an increase in circulating plasmacytoid dendritic cells are also mobilized during acute exercise.<xref ref-type="bibr" rid="R113">113</xref> Chronic exercise may also reduce the presence of immunosuppressive monocytes in cancer patients. The significant accumulation of these cells in peripheral blood resulting from interactions within the TME can affect the quality of dendritic cell maturation in ex vivo cultures.<xref ref-type="bibr" rid="R114 R115 R116">114–116</xref> Since patients ith cancer exhibit significant immune dysfunction from the normal aging process and from tumor-derived immunosuppression, physical activity and further exercise training could benefit cancer patients receiving cancer vaccines through the improvement of dendritic cell numbers and enhanced antitumor functions.</p></sec></sec><sec id="s5"><title>Incorporation of exercise into clinical applications and translation</title><p>Investigators are increasingly incorporating exercise training and physical activity into practice and in clinical trials to improve quality of life,<xref ref-type="bibr" rid="R117 R118 R119 R120">117–120</xref> improve cardiorespiratory function,<xref ref-type="bibr" rid="R121 R122 R123">121–123</xref> and even as a preventive and/or therapeutic anticancer intervention.<xref ref-type="bibr" rid="R124">124</xref> Exercise was proposed as an immunotherapy by de Araújo <italic toggle="yes">et al</italic> as a way to counter immunosenescense in aging cancer patients.<xref ref-type="bibr" rid="R125">125</xref> Since then, the concept of using exercise to augment cancer therapy, exercise-oncology, has been progressively advocated.<xref ref-type="bibr" rid="R126 R127 R128">126–128</xref> While the field is still in its infancy, data from preclinical animal models as well as human studies are providing insight and sound justification into how clinical trials might be designed to incorporate exercise into immunotherapeutic regimens. For example, the study by Pophali <italic toggle="yes">et al</italic> provides an excellent model for how to measure the impact of exercise in that the group prospectively measured the physical activity in approximately 3000 newly diagnosed lymphoma patients and found that active patients had improved survival vs more sedentary patients.<xref ref-type="bibr" rid="R129">129</xref> A similar approach and clinical setting may be applied to ask whether increased physical activity, aerobic capacity, or training programs improve responses to immunotherapy. In order to properly use exercise in the oncology setting, several legitimate concerns including feasibility of incorporating exercise training into existing clinical trials, ensuring safe training regimens in patients who are often frail, and patient compliance, must continue to be addressed by the community. In terms of feasibility, perhaps the best setting to introduce exercise is in newly diagnosed patients who are early in their treatment. For patient compliance, new ways of encouraging compliance are also being implemented as the community better understands barriers to exercise in patients.<xref ref-type="bibr" rid="R130 R131 R132">130–132</xref> Finally, more published guidelines are becoming available to clinicians to incorporate physical activity in the treatment of cancer patients.<xref ref-type="bibr" rid="R133 R134 R135">133–135</xref> Although the incorporation of exercise into clinical trials for patients appears to be quite feasible and safe, there will be some patients with cancer who are unable to exercise or are too sick for exercise.<xref ref-type="bibr" rid="R136 R137 R138">136–138</xref></p><p>Another major obstacle to optimizing exercise in the treatment of cancer patients is that it is currently unclear as to what parameters of exercise show the most promise for improving disease outcomes. The FITT principles in exercise are indeed significant and need to be considered as they contribute greatly to the heterogeneity of defining a physiologically effective exercise dose. Dethlefsen <italic toggle="yes">et al</italic> argue that single bouts of acute exercise are beneficial to the cancer patient, as exercise causes physiological changes, even transiently, that increase the anticancer components of exercise.<xref ref-type="bibr" rid="R139 R140">139 140</xref> However, data from the literature suggests that there are considerable differences in outcomes in cancer patients on exercise regimens. There is some evidence that short-term training (&lt;4 months) in patients with cancer does not appear to yield significant benefits on measured outcomes like improved preoperative fitness, aerobic capacity, or chemotherapy completion rates.<xref ref-type="bibr" rid="R141 R142 R143">141–143</xref> However, improved cardiorespiratory fitness (VO2max) appears to be one of the most consistent improvements among studies involving cancer patients.<xref ref-type="bibr" rid="R144 R145">144 145</xref> In non-cancer patient populations, there is evidence that the immune system (ie, changes in lymphocyte frequencies) can change in athletes after short-term training programs.<xref ref-type="bibr" rid="R146 R147">146 147</xref> In patients with rheumatoid arthritis who completed ten weeks of high-intensity interval training, disease severity was reduced, cardiorespiratory function (VO2max) improved, and circulating inflammatory monocytes were reduced.<xref ref-type="bibr" rid="R148">148</xref> Moving forward, the data collected from the effects of exercise on cancer patients will be important, as the information will likely guide the design of future studies assessing the impact of exercise on responses to immunotherapy.</p></sec><sec id="s6"><title>Future directions and conclusions</title><p>It is understood that much of what we have proposed here needs to be investigated and confirmed (or disproved) before exercise be can incorporated routinely into immunotherapeutic regimens. It is clear that there are many complex aspects to the impact of exercise on immune responses. Also, since most human studies have utilized healthy subjects, similar studies will need to be performed in cancer patients in order to better understand whether exercise can restore systemic immunity in cancer patients in which immune suppression is commonly observed. The preliminary evidence is encouraging to support the hypothesis that exercise can improve immunological fitness to the extent that patients should be able to respond better to immunotherapeutic regimens. Now the difficult task has begun to systematically test these hypotheses in both animal models and in clinical trials. It is hoped that the evidence and scientific premise we have outlined here would provide significant justification to move these studies forward.</p></sec></body><back><fn-group><fn fn-type="other"><label>Contributors</label><p>MPG and RJS contributed to the conception of the work. All authors contributed to the drafting and revising of the work. All authors provided final approval of the work.</p></fn><fn fn-type="conflict"><label>Competing interests</label><p>No, there are no competing interests.</p></fn><fn fn-type="other"><label>Provenance and peer review</label><p>Not commissioned; externally peer reviewed.</p></fn></fn-group><sec sec-type="ethics-statement"><title>Ethics statements</title><sec sec-type="ethics-consent-to-publish"><title>Patient consent for publication</title><p>Not required.</p></sec></sec><ref-list><title>References</title><ref id="R1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple"><person-group person-group-type="author"><string-name name-style="western"><surname>Gustafson</surname> <given-names>MP</given-names></string-name>, <string-name name-style="western"><surname>Lin</surname> <given-names>Y</given-names></string-name>, <string-name name-style="western"><surname>LaPlant</surname> <given-names>B</given-names></string-name>, <etal>et al</etal></person-group>. 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