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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2016.4851</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-4851</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of combined sunitinib and extracranial stereotactic radiotherapy on bone marrow hematopoiesis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Kao</surname><given-names>Johnny</given-names></name>
<xref rid="af1-ol-0-0-4851" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-4851" ref-type="aff">2</xref>
<xref rid="c1-ol-0-0-4851" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Timmins</surname><given-names>Jonathan</given-names></name>
<xref rid="af1-ol-0-0-4851" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Ozao-Choy</surname><given-names>Junko</given-names></name>
<xref rid="af3-ol-0-0-4851" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Packer</surname><given-names>Stuart</given-names></name>
<xref rid="af4-ol-0-0-4851" ref-type="aff">4</xref></contrib>
</contrib-group>
<aff id="af1-ol-0-0-4851"><label>1</label>Department of Radiation Oncology, Good Samaritan Hospital Medical Center, West Islip, NY 11795, USA</aff>
<aff id="af2-ol-0-0-4851"><label>2</label>Department of Radiation Oncology, Mount Sinai School of Medicine, New York, NY 10029, USA</aff>
<aff id="af3-ol-0-0-4851"><label>3</label>Department of Surgery, University of California, Los Angeles (UCLA) Medical Center, Los Angeles, CA 90502, USA</aff>
<aff id="af4-ol-0-0-4851"><label>4</label>Division of Medical Oncology, Mount Sinai School of Medicine, New York, NY 10029, USA</aff>
<author-notes>
<corresp id="c1-ol-0-0-4851"><italic>Correspondence to</italic>: Dr Johnny Kao, Department of Radiation Oncology, Good Samaritan Hospital Medical Center, 1000 Montauk Highway, West Islip, NY 11795, USA, E-mail: <email>johnny.kao@chsli.org</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>09</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>13</day>
<month>07</month>
<year>2016</year></pub-date>
<volume>12</volume>
<issue>3</issue>
<fpage>2139</fpage>
<lpage>2144</lpage>
<history>
<date date-type="received"><day>02</day><month>09</month><year>2015</year></date>
<date date-type="accepted"><day>02</day><month>06</month><year>2016</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2016, Spandidos Publications</copyright-statement>
<copyright-year>2016</copyright-year>
</permissions>
<abstract>
<p>There is considerable interest in deploying stereotactic body radiotherapy in combination with immune therapy for patients with extracranial oligometastases. In addition to angiogenesis inhibition, sunitinib appears to mediate antitumor immunity through effects on circulating monocytic cells. The current study investigated the effects of combined sunitinib and stereotactic radiotherapy on hematopoiesis. As part of a phase I/II clinical trial utilizing concurrent sunitinib (25&#x2013;50 mg on days 1&#x2013;28) and image-guided radiation therapy (40&#x2013;50 Gy in 10 fractions starting on days 8&#x2013;19) for patients with metastatic cancer, the complete blood count, platelet count and automatic differential were performed pretreatment and on days 8 and 19. On average, sunitinib monotherapy for 7 days resulted in a 33&#x0025; decrease in monocytes and an 18&#x0025; decrease in neutrophils (P&#x003C;0.01 for all). Compared to sunitinib alone, combined sunitinib and radiation resulted in a further decrease in neutrophils, lymphocytes and platelets (P&#x003C;0.05). Following sunitinib and radiation treatment, a greater than average decrease in monocytes (&#x2265;200/&#x00B5;l) was associated with a significant increase in progression-free and overall survival times. This exploratory study provides further evidence that monocytes represent a potential biomarker in patients with solid tumors treated with sunitinib.</p>
</abstract>
<kwd-group>
<kwd>stereotactic radiotherapy</kwd>
<kwd>sunitinib</kwd>
<kwd>hematopoiesis</kwd>
<kwd>monocytes</kwd>
<kwd>tumor immunology</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>While stereotactic body radiotherapy (SBRT) can effectively eradicate oligometastases, the majority of patients with distant metastases ultimately succumb to distant metastases (<xref rid="b1-ol-0-0-4851" ref-type="bibr">1</xref>). There is growing enthusiasm for combining SBRT with agents that enhance antitumor immunity as an approach to reducing the probability of subsequent distant metastases (<xref rid="b2-ol-0-0-4851" ref-type="bibr">2</xref>,<xref rid="b3-ol-0-0-4851" ref-type="bibr">3</xref>). Ongoing studies are investigating the combination of cytotoxic T lymphocyte-associated protein 4 (CTLA-4) and programmed cell death protein 1 (PD-1) inhibitors with radiation, particularly in melanoma (<xref rid="b4-ol-0-0-4851" ref-type="bibr">4</xref>).</p>
<p>Prior to the clinical development of CTLA-4 and PD-1 inhibitors, sunitinib was demonstrated to modulate the tumor microenvironment and reverse the immune suppressive function of myeloid-derived suppressor cells (MDSCs) (<xref rid="b5-ol-0-0-4851" ref-type="bibr">5</xref>). Compared with other tyrosine kinases approved for human use, sunitinib is a relatively broad spectrum tyrosine kinase inhibitor (<xref rid="b6-ol-0-0-4851" ref-type="bibr">6</xref>). Sunitinib is a selective inhibitor of multiple protein tyrosine kinases, including vascular endothelial growth factor (VEGF) receptor types 1&#x2013;3, platelet-derived growth factor receptor &#x03B1; and &#x03B2;, c-kit, Fms-like tyrosine kinase 3, RET and colony-stimulating factor 1 receptor (<xref rid="b7-ol-0-0-4851" ref-type="bibr">7</xref>). Sunitinib reverses tumor-mediated immune suppression from human MDSCs (<xref rid="b8-ol-0-0-4851" ref-type="bibr">8</xref>). Preclinical data suggests a supra-additive antitumor effect when combining sunitinib with radiotherapy compared to either treatment independently (<xref rid="b9-ol-0-0-4851" ref-type="bibr">9</xref>).</p>
<p>Based on these promising data, our group conducted a clinical trial administering sunitinib followed by combined sunitinib and radiation for patients with limited metastatic cancer (<xref rid="b10-ol-0-0-4851" ref-type="bibr">10</xref>,<xref rid="b11-ol-0-0-4851" ref-type="bibr">11</xref>). With long-term follow-up, this regimen achieved a 4-year progression-free survival rate of 34&#x0025; (<xref rid="b12-ol-0-0-4851" ref-type="bibr">12</xref>). As part of this clinical study, an increased incidence of grades 3 and 4 myelosuppression was observed with sunitinib and radiation compared to historical controls treated with sunitinib alone (<xref rid="b11-ol-0-0-4851" ref-type="bibr">11</xref>). Comprehensive flow cytometric analysis demonstrated that sunitinib reduced the population of CD33<sup>&#x002B;</sup>CD14<sup>&#x002B;</sup>CD16<sup>&#x002B;</sup> monocytic MDSCs in patients receiving sunitinib and radiotherapy (<xref rid="b13-ol-0-0-4851" ref-type="bibr">13</xref>). To complement these studies, the current analysis was undertaken to characterize the effects of combined sunitinib and radiation therapy on hematopoiesis.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Experimental therapy</title>
<p>The study population consisted of 21 patients with oligometastatic cancer (1&#x2013;5 sites of metastatic cancer measuring &#x2264;6 cm) from various primary tumors enrolled on a phase I/II trial of sunitinib and radiotherapy between May 2007 and September 2010 with clinical follow-up through July 2012 (NCT00463060). The institutional review board of Mount Sinai School of Medicine (New York, NY, USA) approved this study and all participants provided written informed consent. For all patients, chemotherapy was discontinued &#x2265;21 days prior to initiating protocol therapy. Sunitinib (25&#x2013;50 mg qd) was administered on days 1&#x2013;28. Radiotherapy was delivered to all clinically apparent sites of disease with a margin of 5&#x2013;10 mm using an image-guided technique described elsewhere (<xref rid="b10-ol-0-0-4851" ref-type="bibr">10</xref>). The radiation doses were 40 or 50 Gy in 10 fractions from days 8&#x2013;19. Further systemic therapy consisting of either maintenance sunitinib or chemotherapy was administered starting on day 42 at the discretion of the treating medical oncologist.</p>
<p>Stratifying for the location and volume of bone marrow irradiated, a matched-pair cohort analysis was performed on a contemporary cohort of 21 patients with metastatic cancer who were treated with radiation alone. These patients underwent complete blood counts immediately prior to the start and following the completion of radiotherapy. Baseline patient and treatment characteristics for the two groups are described in <xref rid="tI-ol-0-0-4851" ref-type="table">Table I</xref>.</p>
</sec>
<sec>
<title>Hematological measurements</title>
<p>Complete blood count, differential and platelet count were obtained prior to treatment and on days 8 and 19. For each patient, pretreatment values served as controls for blood levels on days 8 and 19. In the control group, complete blood counts were obtained immediately prior to the start and following the completion of radiotherapy. All hematological measurements were taken at the Mount Sinai School of Medicine laboratories using the Coulter LH 750 Hematology Analyzer (Beckman Coulter, Inc., Brea, CA, USA), which generates a five-part differential using flow cytometry technology based on volumetric impedance (using direct current) and conductivity (using high frequency electromagnetic energy and laser light scatter). This methodology has been demonstrated to correlate well with manual slide review (<xref rid="b14-ol-0-0-4851" ref-type="bibr">14</xref>).</p>
</sec>
<sec>
<title>Bone marrow normalization</title>
<p>As patients in the clinical trial required radiation to treatment sites throughout the body, the volume of bone marrow irradiated was quantified. To standardize measurement of bone marrow, volumes were calculated using the Eclipse Treatment Planning System 8.0 (Varian Medical Systems, Inc., Palo Alto, CA, USA) using a commercially available automatic segmentation algorithm. To account for an uneven distribution of active bone marrow throughout the body, the volume of bone marrow irradiated was estimated by applying a correction factor that was derived by cross referencing volumes of bone mass against anatomically measured volumes of marrow contained within specific bones (<xref rid="b15-ol-0-0-4851" ref-type="bibr">15</xref>). Specifically, the correction factors were 1.0 for lumbosacral spine; 0.65 for thoracic spine; 0.5 for cervical spine, rib, sternum, scapula and iliac bone; and 0.3 for humerus, mandible, femoral head and femoral neck.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>A two-sided paired <italic>t</italic>-test was used to make comparisons between pre- and post-treatment hematological measurements. Microsoft Excel was used to plot the differences in changes in blood counts over time. Progression-free survival and overall survival rates were calculated using the Kaplan-Meier method on Stata software version 13.1 (StataCorp LP, College Station, TX, USA). Univariate comparison between groups was performed using the log-rank test.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Early effects of sunitinib on hematopoiesis</title>
<p>The primary tumor types for patients treated with sunitinib included lung (24&#x0025;), kidney (14&#x0025;), liver (14&#x0025;), head and neck squamous cell carcinoma (14&#x0025;), prostate (14&#x0025;), pancreas (5&#x0025;), breast (5&#x0025;), melanoma (5&#x0025;) and colorectal (5&#x0025;). Using pretreatment values as controls, significant changes in hematological measurements were observed within 7 days of initiating sunitinib (<xref rid="f1-ol-0-0-4851" ref-type="fig">Fig. 1</xref> and <xref rid="tII-ol-0-0-4851" ref-type="table">Table II</xref>). On average, there was a 13&#x0025; reduction in leukocytes (6.72&#x00D7;10<sup>9</sup> vs. 5.88&#x00D7;10<sup>9</sup>/l, P=0.02), largely due to a 30&#x0025; decrease in monocytes (0.50&#x00D7;10<sup>9</sup> vs. 0.35&#x00D7;10<sup>9</sup>/l, P&#x003C;0.01) and an 18&#x0025; decrease neutrophils (4.91&#x00D7;10<sup>9</sup> vs. 4.01&#x00D7;10<sup>9</sup>/l, P&#x003C;0.01). Sunitinib resulted in a marginal increase in mean hemoglobin levels (13.2 vs. 13.9 g/dl, P&#x003C;0.01). No patients had experienced hematological toxicity of grade 3 or above after 7 days of sunitinib treatment.</p>
</sec>
<sec>
<title>Effect of radiation alone on hematopoiesis</title>
<p>There were no statistically significant differences in baseline blood counts when comparing the radiation alone and combined sunitinib and radiation cohorts. Following radiation therapy alone, the only detectable difference was a 39&#x0025; decrease in the mean lymphocyte count compared with baseline (1.15&#x00D7;10<sup>9</sup> vs. 0.70&#x00D7;10<sup>9</sup>/l, P&#x003C;0.01). Grade 2&#x2013;4 lymphopenia was observed in 76&#x0025; of patients; this comprised 19&#x0025; with grade 2, 52&#x0025; with grade 3 and 5&#x0025; with grade 4.</p>
</sec>
<sec>
<title>Effect of combined sunitinib and radiation on erythroid, lymphoid and myeloid lineages</title>
<p>Hematological measurements on day 19 demonstrated significant changes compared to pretreatment levels (<xref rid="f1-ol-0-0-4851" ref-type="fig">Fig. 1</xref> and <xref rid="tII-ol-0-0-4851" ref-type="table">Table II</xref>). On average, there was a 40&#x0025; reduction in total leukocytes (6.72&#x00D7;10<sup>9</sup> vs. 4.03&#x00D7;10<sup>9</sup>/l, P&#x003C;0.01), which included a 38&#x0025; decrease in monocytes (0.50&#x00D7;10<sup>9</sup> vs. 0.31&#x00D7;10<sup>9</sup>/l, P&#x003C;0.01), 43&#x0025; reduction in lymphocytes (1.15&#x00D7;10<sup>9</sup> vs. 0.65&#x00D7;10<sup>9</sup>/l, P&#x003C;0.01) and 39&#x0025; decline in neutrophils (4.91&#x00D7;10<sup>9</sup> vs. 2.99&#x00D7;10<sup>9</sup>/l, P&#x003C;0.01). There was also a 26&#x0025; reduction in the mean platelet count (196.2&#x00D7;10<sup>9</sup> vs. 145.9&#x00D7;10<sup>9</sup>/l, P=0.006).</p>
<p>Compared to sunitinib alone, combined sunitinib and radiation demonstrated a further decrease in mean leukocyte (P&#x003C;0.01), platelet (P&#x003C;0.01), neutrophil (P=0.04) and lymphocyte counts (P&#x003C;0.01), but no significant change in mean hemoglobin level (P=0.07) or monocyte count (P=0.09). The incidence rates of grade 3&#x2013;4 leukopenia, neutropenia, thrombocytopenia and lymphopenia were 19, 5, 10 and 57&#x0025;, respectively.</p>
<p>Compared to radiation alone, patients treated with concurrent sunitinib and radiation exhibited a 40&#x0025; decrease in mean leukocyte counts (P=0.01) and a 26&#x0025; reduction in mean platelet counts (P&#x003C;0.01). The effect on leukocytes was largely due to a 39&#x0025; decline in mean neutrophil counts (P=0.03) and a 39&#x0025; reduction in mean monocyte counts (P&#x003C;0.01). On average, there was no effect on lymphocytes (P=0.1) and mild erythrocytosis (P=0.06) that failed to reach statistical significance.</p>
</sec>
<sec>
<title>Potential association between outcome and decreased absolute monocyte counts following sunitinib and radiotherapy</title>
<p>In a recent analysis of patients with hepatocellular carcinoma treated with sunitinib, a greater decrease in monocyte count after 14 days of treatment significantly predicted progression-free and overall survival times (<xref rid="b16-ol-0-0-4851" ref-type="bibr">16</xref>). In the current study, patients with a greater than average decline (&#x2265;200/&#x00B5;l) in absolute monocyte count following sunitinib and radiation therapy had significantly improved rates of 2-year progression-free (54&#x0025; vs. 0&#x0025;, P=0.03) and overall survival (60&#x0025; vs. 17&#x0025;, P=0.05). Progression-free and overall survival curves are shown in <xref rid="f2-ol-0-0-4851" ref-type="fig">Fig. 2</xref>. Due to limited sample size and the hypothesis-generating nature of the analysis, multivariable analysis was not attempted.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>While conventional cytotoxic chemotherapy has been limited by a low therapeutic index, poor drug penetration through tissue, and multi-drug resistance, molecularly targeted therapies specific for a single signal transduction pathway are hindered by the genetic heterogeneity within tumors and the multiple genetic abnormalities associated with solid tumors (<xref rid="b17-ol-0-0-4851" ref-type="bibr">17</xref>&#x2013;<xref rid="b19-ol-0-0-4851" ref-type="bibr">19</xref>). Broader spectrum multi-targeted tyrosine kinase inhibitors, such as sunitinib, offer a promising approach towards overcoming some of these barriers to achieving a cure, by targeting multiple pathways (<xref rid="b6-ol-0-0-4851" ref-type="bibr">6</xref>,<xref rid="b20-ol-0-0-4851" ref-type="bibr">20</xref>). One clear disadvantage of relatively non-specific inhibitors is the toxicity resulting from &#x2018;off target&#x2019; effects of multi-targeted agents (<xref rid="b21-ol-0-0-4851" ref-type="bibr">21</xref>). Sunitinib has been associated with decreased leukocytes, lymphocytes, hemoglobin, monocytes, platelets, neutrophils and increased median corpuscular volume (<xref rid="b16-ol-0-0-4851" ref-type="bibr">16</xref>,<xref rid="b22-ol-0-0-4851" ref-type="bibr">22</xref>&#x2013;<xref rid="b24-ol-0-0-4851" ref-type="bibr">24</xref>). Clinicians are increasingly adopting more specific tyrosine kinase inhibitors that have lower rates of hematological toxicity (<xref rid="b25-ol-0-0-4851" ref-type="bibr">25</xref>).</p>
<p>The observed decrease in hematopoiesis following sunitinib and radiation therapy in the current study provides the clinician insight on changes in immunity. Consistent with this notion, a rapid decrease in myeloid cells following sunitinib has been associated with improved survival (<xref rid="b16-ol-0-0-4851" ref-type="bibr">16</xref>). An emerging body of research suggests that sunitinib mediates antitumor immunity through bone marrow-derived cells (<xref rid="b8-ol-0-0-4851" ref-type="bibr">8</xref>,<xref rid="b13-ol-0-0-4851" ref-type="bibr">13</xref>). For instance, flow cytometric characterization of changes before and after sunitinib administration suggest that the number of immunosuppressive monocytic MDSCs and T regulatory cells decreases, while myeloid dendritic cells increase (<xref rid="b13-ol-0-0-4851" ref-type="bibr">13</xref>,<xref rid="b24-ol-0-0-4851" ref-type="bibr">24</xref>).</p>
<p>In contrast to the immunosuppressive effects of total body radiation, recent data suggests that local tumor radiotherapy can remodel and enhance antitumor immunity (<xref rid="b26-ol-0-0-4851" ref-type="bibr">26</xref>). While wide-field radiotherapy has been demonstrated to reduce the number of neutrophils, platelets and lymphocytes, localized radiotherapy for metastases appears to selectively deplete lymphocytes (<xref rid="b27-ol-0-0-4851" ref-type="bibr">27</xref>). To the best of our knowledge, the current report is the first to evaluate the effect of a biologically targeted agent on hematopoiesis in patients receiving radiotherapy. In this study, the combination of sunitinib and radiotherapy resulted in a decrease of mean platelet, myeloid and lymphoid blood counts, with relative sparing of red blood cells. Flow cytometry demonstrated that combined sunitinib and radiation depleted monocytic MDSCs, T regulatory and B cells compared with radiation alone (<xref rid="b13-ol-0-0-4851" ref-type="bibr">13</xref>). Further studies should explore changes in plasma biomarkers contributing to these observed changes in circulating cells.</p>
<p>The further development of sunitinib for applications beyond renal cell carcinoma, pancreatic neuroendocrine tumors and gastrointestinal stromal tumors would be enhanced by the development of predictive biomarkers (<xref rid="b28-ol-0-0-4851" ref-type="bibr">28</xref>). Among circulating hematopoietic cells, sunitinib selectively depletes CD14-positive monocytes that co-express VEGF-1 or C-X-C chemokine receptor type 4 (<xref rid="b29-ol-0-0-4851" ref-type="bibr">29</xref>). More recent immune profiling suggests that sunitinib selectively targets CD33<sup>&#x002B;</sup> CD14<sup>&#x002B;</sup> CD16<sup>&#x002B;</sup> monocytic MDSCs and CD15<sup>&#x002B;</sup>CD14<sup>&#x2212;</sup> neutrophilic MDSCs (<xref rid="b13-ol-0-0-4851" ref-type="bibr">13</xref>,<xref rid="b30-ol-0-0-4851" ref-type="bibr">30</xref>). The present results confirm the observation that a greater reduction in monocytes following sunitinib therapy is associated with higher progression-free and overall survival times in patients with advanced malignancy (<xref rid="b16-ol-0-0-4851" ref-type="bibr">16</xref>). While further confirmatory studies are required, this could serve as an early biomarker of sunitinib efficacy.</p>
<p>Although the present study provides novel observations, it has numerous limitations. Firstly, the sample size was extremely limited and the patient population was highly heterogeneous. Therefore, the potential association between monocyte depletion and improved outcome should be considered as hypothesis-generating. Secondly, observations of selective effects on circulating cells in peripheral blood may not necessarily reflect biology in the tumor bed (<xref rid="b30-ol-0-0-4851" ref-type="bibr">30</xref>). Arguably, this problem may be less relevant when all areas of gross disease are ablated with surgery or radiation. Finally, the clinical relevance of combined sunitinib and radiation has decreased as interest in combining angiogenesis inhibitors with radiotherapy has waned (<xref rid="b31-ol-0-0-4851" ref-type="bibr">31</xref>). However, lessons learned from the experience of combining radiotherapy with novel agents, including sunitinib, may inform future studies combining radiotherapy with immunotherapy for advanced cancer (<xref rid="b4-ol-0-0-4851" ref-type="bibr">4</xref>,<xref rid="b32-ol-0-0-4851" ref-type="bibr">32</xref>).</p>
<p>In conclusion, the present study reports changes in hematopoiesis following sunitinib and radiotherapy that supplement previously reported flow cytometric data.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study was supported in part by research funding from Pfizer Inc. (New York, NY, USA) awarded to Dr Johnny Kao. Dr Johnny Kao is a William Harris Research Fellow.</p>
</ack>
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</back>
<floats-group>
<fig id="f1-ol-0-0-4851" position="float">
<label>Figure 1.</label>
<caption><p>Effect of sunitinib and radiation on hematopoiesis in 21 patients with oligometastases. Data are presented as the percent decrease compared to baseline values.</p></caption>
<graphic xlink:href="ol-12-03-2139-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-4851" position="float">
<label>Figure 2.</label>
<caption><p>Kaplan-Meier analyses of (A) progression-free and (B) overall survival with monocyte depletion (&#x2265;200/&#x00B5;l decrease in monocyte concentration) following sunitinib and radiation therapy.</p></caption>
<graphic xlink:href="ol-12-03-2139-g01.jpg"/>
</fig>
<table-wrap id="tI-ol-0-0-4851" position="float">
<label>Table I.</label>
<caption><p>Baseline characteristics of the study population (n=21).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variable</th>
<th align="center" valign="bottom">Radiotherapy alone</th>
<th align="center" valign="bottom">Radiotherapy &#x002B; sunitinib</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age, years</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Median (range)</td>
<td align="center" valign="top">66 (28&#x2013;90)</td>
<td align="center" valign="top">65 (47&#x2013;82)</td>
<td align="center" valign="top">0.33</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;40, n</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;40&#x2013;69, n</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">13</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;70, n</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Performance status, n</td>
<td/>
<td/>
<td align="center" valign="top">0.10</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;0&#x2013;1</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">16</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;2&#x2013;3</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Bone metastases, n</td>
<td/>
<td/>
<td align="center" valign="top">0.58</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">11</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">10</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Volume of bone marrow irradiated, cm<sup>3</sup>; median (range)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Volume receiving 10 Gy</td>
<td align="center" valign="top">59 (3&#x2013;220)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;35 (1&#x2013;149)</td>
<td align="center" valign="top">0.66</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Volume receiving 15 Gy</td>
<td align="center" valign="top">52 (3&#x2013;201)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;29 (1&#x2013;114)</td>
<td align="center" valign="top">0.16</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Volume receiving 20 Gy</td>
<td align="center" valign="top">40 (2&#x2013;191)</td>
<td align="center" valign="top">23 (0&#x2013;88)</td>
<td align="center" valign="top">0.04</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Volume receiving 30 Gy</td>
<td align="center" valign="top">29 (0&#x2013;168)</td>
<td align="center" valign="top">11 (0&#x2013;74)</td>
<td align="center" valign="top">0.04</td>
</tr>
<tr>
<td align="left" valign="top">Prior radiotherapy, n</td>
<td/>
<td/>
<td align="center" valign="top">0.33</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">11</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">10</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Prior chemotherapy, n</td>
<td/>
<td/>
<td align="center" valign="top">0.72</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">12</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sites irradiated, n</td>
<td/>
<td/>
<td align="center" valign="top">0.54</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Bone</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">13</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Lung</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Liver</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Visceral</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Lymph node</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Adrenal</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tII-ol-0-0-4851" position="float">
<label>Table II.</label>
<caption><p>Effect of sunitinib, RT and combined sunitinib &#x002B; RT on circulating blood cell populations using complete blood count.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Cell type</th>
<th align="center" valign="bottom">Baseline</th>
<th align="center" valign="bottom">Sunitinib alone (day 8)</th>
<th align="center" valign="bottom">Sunitinib&#x002B;RT (day 19)</th>
<th align="center" valign="bottom">RT alone (control)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Leukocytes</td>
<td colspan="4"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Count, &#x00D7;10<sup>9</sup>/l</td>
<td align="center" valign="top">6.72 (5.10&#x2013;8.40)</td>
<td align="center" valign="top">5.88 (4.20&#x2013;7.10)</td>
<td align="center" valign="top">4.03 (2.15&#x2013;6.25)</td>
<td align="center" valign="top">6.9 (4.74&#x2013;8.36)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.02</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">0.76</td>
</tr>
<tr>
<td align="left" valign="top">Hemoglobin</td>
<td colspan="4"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Level, g/dl</td>
<td align="center" valign="top">13.2 (12.2&#x2013;14.2)</td>
<td align="center" valign="top">13.9 (12.5&#x2013;15.5)</td>
<td align="center" valign="top">13.2 (11.9&#x2013;14.6)</td>
<td align="center" valign="top">13.0 (11.4&#x2013;14.2)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">0.74</td>
</tr>
<tr>
<td align="left" valign="top">Platelets</td>
<td colspan="4"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Count, &#x00D7;10<sup>9</sup>/l</td>
<td align="center" valign="top">196.2 (131.5&#x2013;260.0)</td>
<td align="center" valign="top">192.9 (145.0&#x2013;249.0)</td>
<td align="center" valign="top">145.9 (90.0&#x2013;192.0)</td>
<td align="center" valign="top">174.3 (114.2&#x2013;201.1)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.71</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">0.20</td>
</tr>
<tr>
<td align="left" valign="top">Neutrophils</td>
<td colspan="4"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Count, &#x00D7;10<sup>9</sup>/l</td>
<td align="center" valign="top">4.91 (3.40&#x2013;6.30)</td>
<td align="center" valign="top">4.01 (2.55&#x2013;5.55)</td>
<td align="center" valign="top">2.99 (1.45&#x2013;5.05)</td>
<td align="center" valign="top">5.60 (3.67&#x2013;7.64)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">0.36</td>
</tr>
<tr>
<td align="left" valign="top">Monocytes</td>
<td colspan="4"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Count, &#x00D7;10<sup>9</sup>/l</td>
<td align="center" valign="top">0.50 (0.35&#x2013;0.60)</td>
<td align="center" valign="top">0.35 (0.25&#x2013;0.40)</td>
<td align="center" valign="top">0.31 (0.20&#x2013;0.40)</td>
<td align="center" valign="top">0.48 (0.39&#x2013;0.54)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">0.60</td>
</tr>
<tr>
<td align="left" valign="top">Lymphocytes</td>
<td colspan="4"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Count, &#x00D7;10<sup>9</sup>/l</td>
<td align="center" valign="top">1.15 (0.70&#x2013;1.35)</td>
<td align="center" valign="top">1.33 (0.60&#x2013;1.90)</td>
<td align="center" valign="top">0.65 (0.30&#x2013;0.90)</td>
<td align="center" valign="top">0.70 (0.35&#x2013;0.94)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;P-value</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-4851"><p>Data are presented as mean values (interquartile range). P-values were calculated by a paired <italic>t</italic>-test compared to the baseline. RT, radiotherapy.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
