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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2021.755191</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Use of Anti-angiogenic Drugs Potentially Associated With an Increase on Serum AST, LDH, CK, and CK-MB Activities in Patients With Cancer: A Retrospective Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zheng</surname> <given-names>Qi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/630268/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Hanzhou</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hou</surname> <given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pneumology, Guang&#x00027;anmen Hospital, China Academy of Chinese Medical Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Oncology, Guang&#x00027;anmen Hospital, China Academy of Chinese Medical Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Feng Cao, People&#x00027;s Liberation Army General Hospital, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mark Mitchell, Louisiana State University, United States; Fan Yin, People&#x00027;s Liberation Army General Hospital, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Ying Zhang <email>zylzy501&#x00040;163.com</email></corresp>
<corresp id="c002">Wei Hou <email>houwei1964&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Cardio-Oncology, a section of the journal Frontiers in Cardiovascular Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>755191</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Zheng, Wang, Hou and Zhang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Zheng, Wang, Hou and Zhang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p><bold>Background:</bold> There is a large amount of evidence that anti-angiogenic drugs are effective safe. However, few studies have evaluated the specific effects of anti-angiogenic drugs on myocardial enzyme injury biomarkers: aspartate aminotransferase (AST), lactic dehydrogenase (LDH), creatine kinase (CK) and creatine kinase isoenzyme (CK-MB). The purpose of our study was to determine whether anti-angiogenic drugs serum AST, LDH, CK, and CK-MB activities of cancer patients treated with anti-angiogenic drugs.</p>
<p><bold>Methods:</bold> This study retrospectively analyzed 81 cancer patients. Patients who had used anti-angiogenic drugs were selected. Serum AST, LDH, CK, and CK-MB activities were measured before and after treatment with anti-angiogenic drugs for 3 weeks.</p>
<p><bold>Results:</bold> A total of 16 cancer types were analyzed. The distribution of the cancer types in the patients was mainly concentrated in lung, gastric, and colorectal cancers. The anti-angiogenic treatment markedly increased AST, LDH, CK, and CK-MB activities by 32.51, 7.29, 31.25, and 55.56%, respectively in serum.</p>
<p><bold>Conclusions:</bold> Our findings suggest that patients, who had used anti-angiogenic drugs were likely to have elevated AST, LDH, and CK, indicators of myocardial muscle injury. Use of anti-angiogenic drugs should not be assumed to be completely safe and without any cardiovascular risks.</p></abstract>
<kwd-group>
<kwd>anti-angiogenic drugs</kwd>
<kwd>cancer</kwd>
<kwd>AST</kwd>
<kwd>LDH</kwd>
<kwd>CK</kwd>
<kwd>CK-MB</kwd>
</kwd-group>
<contract-sponsor id="cn001">Beijing Municipal Natural Science Foundation<named-content content-type="fundref-id">10.13039/501100005089</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="22"/>
<page-count count="8"/>
<word-count count="5144"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Anti-angiogenic treatment is an effective and targeted therapy strategy that can be used to control and kill tumors (<xref ref-type="bibr" rid="B1">1</xref>). Although chemotherapeutics can kill tumor cells, the remaining tumor cells can still survive and continue to grow due to the support of peripheral blood vessels. Meanwhile, abnormal tumor blood vessels reduce the delivery of drugs into tumor tissues, which ultimately leads to limited efficacy of anti-cell proliferation therapy. Therefore, the treatment for cancer should not only be directed against tumor cells, but also against the tumor microenvironment, in particularly tumor angiogenesis (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Vascular endothelial growth factor (VEGF) is the master effector of the angiogenic response in cancers (<xref ref-type="bibr" rid="B3">3</xref>). Anti-angiogenic drugs can be used to specifically bind to VEGF to prevent it from interacting with receptors, which play a critical role in tumor blood vessels. Further, this limits exposure to oxygen and other nutrients required for tumor cell growth, thereby weakening the ability of tumor growth and metastasis. Anti-angiogenic agents targeting the VEGF and HIF-&#x003B1; pathways include monoclonal antibodies to VEGF (<xref ref-type="bibr" rid="B4">4</xref>), such as bevacizumab and resumumab, small-molecule tyrosine kinase inhibitors (TKIs), such as anlotinib, sorafenib, and sunitinib, and VEGF receptor (VEGFR)2 inhibitors, such as regorafenib and ramucirumab (<xref ref-type="bibr" rid="B5">5</xref>). These compounds can lead to a reduction in the tumor blood supply and growth of the tumor blood vessels. Unfortunately, cardiovascular toxicity is a potential limitation associated with the long-term use of anti-angiogenic agents in cancer and requires further study to assess the value of anti-angiogenic treatment.</p>
<p>Aspartate aminotransferase (AST) is a pyridoxal-5&#x02032;-phosphate-dependent enzyme that is widely distributed in heart, liver, skeletal muscle, kidney and brain. It plays a key role in the metabolism of amino acids, synthesis of purine/pyrimidine bases, urea and protein synthesis, and gluconeogenesis (<xref ref-type="bibr" rid="B6">6</xref>). Lactic dehydrogenase (LDH) is a type of enzyme, which plays an important role in making body&#x00027;s energy. It can be found in almost all the body&#x00027;s tissues, including those in the blood, heart, kidneys, brain, and lungs. LDH is released from damaged tissues, and can serve as a biomarker for damaged heart tissue. Creatine kinase (CK) is a guanidino-kinase that catalyzes the reversible phosphorylation of creatine to phosphocreatine, and is primarily distributed in bone and myocardium. The plasma activity of creatine kinase isoenzyme (CK-MB), one of the isoenzymes of CK, is generally used to evaluate acute coronary syndrome. The detection of serum CK isozymes, especially serum CK-MB, is helpful for judging the degree of myocardial injury. Comprehensively, monitoring serum AST, LDH, CK and CK-MB activities for cardiac biomarkers can be valuable for assessing patient status (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Unfortunately, few studies have focused on the measuring changes in serum AST, LDH, CK and CK-MB activities before and after anti-angiogenic treatment for cancer. In this study, we conducted a retrospective investigation focused on measuring the changes in serum AST, LDH, CK and CK-MB in serum on cancer patients receiving anti- angiogenic targeted therapy. The results suggested that in serum AST, LDH, CK and CK-MB activities of patients who had used anti-angiogenic drugs were likely to have elevated.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Patients</title>
<p>This was an observational, retrospective study that obtained informed consent from all subjects, and this research was approved by the Ethics Committee of Guang&#x00027;anmen hospital, China Academy of Chinese Medical Sciences with code number 2020-073-KT. The study followed the ethical principles of the Declaration of Helsinki 1964.</p>
<p>From Jan 2014 to Dec 2020, cancer 81 patients treated with apatinib, anlotinib, regorafenib, bevacizumab, sorafenib, or sunitinib at the oncology department, Guang&#x00027;anmen hospital, China Academy of Chinese Medical Sciences were retrospectively recruited for this study. Patients with active infection, systemic corticosteroid treatment within 1 year, or hematological malignancy were excluded since these conditions might affect the hematological laboratory markers. Meanwhile, 81 gender and age matched healthy control were enrolled from physical examination center, Guang&#x00027;anmen hospital, China Academy of Chinese Medical Sciences.</p>
</sec>
<sec>
<title>Data Collection</title>
<p>The following variables were extracted from the medical records of the patients: AST, LDH, CK and CK-MB results, age, gender, histological diagnosis, and the choice of anti-angiogenic drugs (such as apatinib, anlotinib, regorafenib, bevacizumab, sorafenib, or sunitinib), history of prior heart disease, pharmacohistory of cardiovascular drugs, smoking and drinking history, and effect of chemotherapeutic drugs on cardiotoxicity. Additionally, routine complete blood counts and coagulograms (including the AST, LDH, CK and CK-MB activities) were carried out before and after first 1 cycle of therapy The first effective evaluation was proceeded after 21 days of treatment. All the examining were detected in the laboratory department, Guang&#x00027;anmen hospital, China Academy of Chinese Medical Sciences, by using full-automatic chemistry analyzer (AU5800 series, Beckman Coulter).</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Statistical analyses were performed using GraphPad Prism8 (GraphPad Software, San Diego, CA, USA) and SPSS statistical software version 24.0 (SPSS Inc., Chicago, IL, USA). Serum AST, LDH, CK and CK-MB activities after first one cycle of treatment were compared to that with no treatment were analyzed. Considering the predictor variables, such as age, gender, histological diagnosis, and the choice of anti-angiogenic drugs, history of prior heart disease, pharmacohistory of cardiovascular drugs, smoking and drinking history, and effect of chemotherapeutic drugs on cardiotoxicity, the statistics were done by mixed linear modeling. All data were non-normally distributed, that reported by the median, interquartile range, and min-max. The differences between tumor patient group and matched healthy control group were compared with Mann-Whitney U test. A two-sided <italic>P</italic> &#x0003C; 0.05 was deemed as statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Patient Characteristics</title>
<p>A total of 81 patients were treated by anti-angiogenic drugs during the study period. <xref ref-type="table" rid="T1">Table 1</xref> presents the detailed patient characteristics. There were 41 (50.6%, 95% CI: 0.397 &#x0007E; 0.615) males and 40 (49.4%, 95% CI: 0.385 &#x0007E; 0.603) females in the total cohort, with a median age of 63 years (Quartiles 25&#x02013;75%, 56&#x02013;70). Among the patients, there were 42.0% (34/81, 0.312 &#x0007E; 0.527) have prior heart disease history, 35.8% (29/81, 0.254 &#x0007E; 0.462) have cardiovascular drugs use history. Meanwhile, a total of 34.6% (28/81, 0.242 &#x0007E; 0.449) have smoking history and 23.4% (19/81, 0.142 &#x0007E; 0.327) have drinking history. All the patients have been treated with different chemotherapy, nevertheless, there were 3/81 patients were affected by chemotherapeutic drugs on cardiotoxicity.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Patients&#x00027; characteristics.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5"><bold>Age</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Median</td>
<td valign="top" align="center">63</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Quartiles 25&#x02013;75%</td>
<td valign="top" align="center">56&#x02013;70</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Gender</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Male</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">50.6</td>
<td valign="top" align="center">0.397 &#x0007E; 0.615</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Female</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">49.4</td>
<td valign="top" align="center">0.385 &#x0007E; 0.603</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Prior heart disease history</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Yes</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">42.0</td>
<td valign="top" align="center">0.312 &#x0007E; 0.527</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;No</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">58.0</td>
<td valign="top" align="center">0.473 &#x0007E; 0.688</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Cardiovascular drugs use history</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Yes</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">35.8</td>
<td valign="top" align="center">0.254 &#x0007E; 0.462</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;No</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">64.2</td>
<td valign="top" align="center">0.538 &#x0007E; 0.746</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Smoking history</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Yes</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">34.6</td>
<td valign="top" align="center">0.242 &#x0007E; 0.449</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;No</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">65.4</td>
<td valign="top" align="center">0.551 &#x0007E; 0.758</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Drinking history</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Yes</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">23.4</td>
<td valign="top" align="center">0.142 &#x0007E; 0.327</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;No</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">76.5</td>
<td valign="top" align="center">0.673 &#x0007E; 0.858</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Effect of chemotherapeutic drugs on cardiotoxicity</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Yes</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">&#x02212;0.004 &#x0007E; 0.078</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;No</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">96.3</td>
<td valign="top" align="center">0.922 &#x0007E; 1.004</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Cancer type</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center"><bold>tumor stage</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Lung cancer</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">28.4</td>
<td valign="top" align="center">0.186 &#x0007E; 0.382</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Gastric cancer</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">16.1</td>
<td valign="top" align="center">0.081 &#x0007E; 0.240</td>
<td valign="top" align="center">III&#x0007E;IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Colorectal cancer</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">18.5</td>
<td valign="top" align="center">0.101 &#x0007E; 0.270</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Ovarian cancer</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">6.2</td>
<td valign="top" align="center">0.009 &#x0007E; 0.114</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Liver cancer</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">6.2</td>
<td valign="top" align="center">0.009 &#x0007E; 0.114</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Renal cancer</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4.9</td>
<td valign="top" align="center">0.002 &#x0007E; 0.097</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Metrocarcinoma</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">&#x02212;0.004 &#x0007E; 0.078</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Esophagus cancer</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">&#x02212;0.009 &#x0007E; 0.058</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Pancreatic cancer</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">&#x02212;0.009 &#x0007E; 0.058</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Urethral carcinoma</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">&#x02212;0.009 &#x0007E; 0.058</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Osteocarcinoma</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">&#x02212;0.009 &#x0007E; 0.058</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Breast cancer</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">&#x02212;0.012 &#x0007E; 0.036</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Cholangiocarcinoma</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">&#x02212;0.012 &#x0007E; 0.036</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Thyroid cancer</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">&#x02212;0.012 &#x0007E; 0.036</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Duodenal cancer</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">&#x02212;0.012 &#x0007E; 0.036</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Thymoma</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">&#x02212;0.012 &#x0007E; 0.036</td>
<td valign="top" align="center">IV</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Anti-angiogenic therapy</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Apatinib</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">0.231 &#x0007E; 0.436</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Anlotinib</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">30.9</td>
<td valign="top" align="center">0.208 &#x0007E; 0.409</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Regorafenib</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">14.8</td>
<td valign="top" align="center">0.071 &#x0007E; 0.226</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Bevacizumab</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">12.3</td>
<td valign="top" align="center">0.052 &#x0007E; 0.195</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Sorafenib</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">7.4</td>
<td valign="top" align="center">0.017 &#x0007E; 0.131</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Sunitinib</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">&#x02212;0.012 &#x0007E; 0.036</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>A total of 28.4% (23/81, 95% CI: 0.186 &#x0007E; 0.382) patients had lung cancer, 16.1% (13/ 81, 95% CI: 0.081 &#x0007E; 0.240) had gastric cancer, 18.5% (15/81, 95% CI: 0.101 &#x0007E; 0.270) had colorectal cancer, 6.2% (5/81, 95% CI: 0.009 &#x0007E; 0.114) had ovarian cancer, and 6.2% (5/81, 95% CI: 0.009 &#x0007E; 0.114) had liver cancer. A small number of renal cancer (4.9%, 4/81), metrocarcinoma (3.7%, 3/81), esophagus cancer (2.5%, 2/81), pancreatic cancer (2.5%, 2/81), urethral carcinoma (2.5%, 2/81), osteocarcinoma (2.5%, 2/81), breast cancer (1.2%, 1/81), cholangiocarcinoma (1.2%, 1/81), thyroid cancer (1.2%, 1/81), duodenal cancer (1.2%, 1/81), and thymoma (1.2%, 1/81) cases were included too. Except one patient is III gastric cancer, all other cancer patients were at staged IV depending on the TNM (Tumor, lymph Node, distant Metastasis). In addition, 27 of 81 patients (33.3%, 95% CI: 0.231 &#x0007E; 0.436) were treated with apatinib, 25 of 81 patients (30.9%, 95% CI: 0.208 &#x0007E; 0.409) were treated with anlotinib, 12 of 81 patients (14.8%, 95% CI: 0.071 &#x0007E; 0.226) were treated with regorafenib, 10 of 81 patients (12.3%, 95% CI: 0.052 &#x0007E; 0.195) were treated with bevacizumab, six patients were treated with sorafenib, and one patient (12.3%) were treated with sunitinib (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec>
<title>Evaluation of Serum AST and LDH Activities in Patients and Health Control</title>
<p><xref ref-type="table" rid="T2">Table 2</xref> displays the detailed characteristics of serum AST, LDH, CK, and CK-MB activities in patients and health control. Health control was matched in serum AST, LDH. Serum AST and LDH were markedly increased in patients after treatment compared with health control (<italic>p</italic> &#x0003C; 0.01, <italic>p</italic> &#x0003C; 0.001). In addition, it was significantly increased in patients before treatment compared with health control in serum LDH (<italic>p</italic> &#x0003C; 0.001), (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>The detailed characteristics of serum AST, LDH, CK and CK-MB activities in patients and health control.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="left"><bold>Group</bold></th>
<th valign="top" align="center"><bold>Number</bold></th>
<th valign="top" align="center"><bold>Median</bold></th>
<th valign="top" align="center"><bold>Interquartile range</bold></th>
<th valign="top" align="center"><bold>Min</bold></th>
<th valign="top" align="center"><bold>Mix</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">AST</td>
<td valign="top" align="left">Before treatment</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">18.40</td>
<td valign="top" align="center">10.20</td>
<td valign="top" align="center">12.10</td>
<td valign="top" align="center">126.70</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">After treatment</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">26.70</td>
<td valign="top" align="center">24.00</td>
<td valign="top" align="center">12.00</td>
<td valign="top" align="center">209.10</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Health control</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">19.90</td>
<td valign="top" align="center">6.20</td>
<td valign="top" align="center">14.30</td>
<td valign="top" align="center">37.80</td>
</tr>
<tr>
<td valign="top" align="left">LDH</td>
<td valign="top" align="left">Before treatment</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">192.00</td>
<td valign="top" align="center">103.00</td>
<td valign="top" align="center">100.00</td>
<td valign="top" align="center">753.00</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">After treatment</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">206.00</td>
<td valign="top" align="center">122.00</td>
<td valign="top" align="center">123.00</td>
<td valign="top" align="center">1,135.00</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Health control</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">176.00</td>
<td valign="top" align="center">98.00</td>
<td valign="top" align="center">119.00</td>
<td valign="top" align="center">217.00</td>
</tr>
<tr>
<td valign="top" align="left">CK</td>
<td valign="top" align="left">Before treatment</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">32.00</td>
<td valign="top" align="center">31.00</td>
<td valign="top" align="center">12.00</td>
<td valign="top" align="center">144.00</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">After treatment</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">42.00</td>
<td valign="top" align="center">40.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">244.00</td>
</tr>
<tr>
<td valign="top" align="left">CK-MB</td>
<td valign="top" align="left">Before treatment</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">9.00</td>
<td valign="top" align="center">217.52</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">218.00</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">After treatment</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">13.00</td>
<td valign="top" align="center">20.00</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">252.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>In our laboratory, 90&#x02013;50 U/L is adopted as the cut-off value for normal AST; &#x0003C;247 U/L is adopted as the cut-off value for normal LDH; &#x0003C;171 U/L is adopted as the cut-off value for normal CK; &#x0003C;25 U/L is used as the cut-off value for normal CK-MB</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Serum AST and LDH activities in patients and health control. &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001, &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-08-755191-g0001.tif"/>
</fig>
</sec>
<sec>
<title>The Effects of Predictor Variables on Serum AST, LDH, CK, and CK-MB Activities in Patients</title>
<p>Afterwards, considering the predictor variables, such as age, gender, histological diagnosis, and the choice of anti-angiogenic drugs, history of prior heart disease, pharmacohistory of cardiovascular drugs, smoking and drinking history, and effect of chemotherapeutic drugs on cardiotoxicity, the statistics were done by mixed linear modeling. As <xref ref-type="table" rid="T3">Tables 3</xref>&#x02013;<xref ref-type="table" rid="T6">6</xref> showed, the influence of age, gender, cancer type, the choice of anti-angiogenic drugs, drinking history, and effect of chemotherapeutic drugs on cardiotoxicity were eliminated in this study.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Type III test of fixed effects of AST.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Source</bold></th>
<th valign="top" align="center"><bold>Numerator df</bold></th>
<th valign="top" align="center"><bold>Denominator df</bold></th>
<th valign="top" align="center"><bold>F</bold></th>
<th valign="top" align="center"><bold>Sig</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">53.000</td>
<td valign="top" align="center">0.593</td>
<td valign="top" align="center">0.445</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">0.672</td>
<td valign="top" align="center">0.416</td>
</tr>
<tr>
<td valign="top" align="left">Cancer type</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">1.679</td>
<td valign="top" align="center">0.084</td>
</tr>
<tr>
<td valign="top" align="left">Choice of anti-angiogenic drugs</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">53.000</td>
<td valign="top" align="center">0.550</td>
<td valign="top" align="center">0.738</td>
</tr>
<tr>
<td valign="top" align="left">Before/after treatment</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">10.287</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">History of prior heart disease</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">53.000</td>
<td valign="top" align="center">0.140</td>
<td valign="top" align="center">0.710</td>
</tr>
<tr>
<td valign="top" align="left">History of cardiovascular drugs</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">53.000</td>
<td valign="top" align="center">0.984</td>
<td valign="top" align="center">0.326</td>
</tr>
<tr>
<td valign="top" align="left">Smoking history</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.999</td>
</tr>
<tr>
<td valign="top" align="left">Drinking history</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">53.000</td>
<td valign="top" align="center">0.042</td>
<td valign="top" align="center">0.838</td>
</tr>
<tr>
<td valign="top" align="left">Effect of chemotherapeutic drugs on cardiotoxicity</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">53.000</td>
<td valign="top" align="center">0.029</td>
<td valign="top" align="center">0.866</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Type III test of fixed effects of LDH.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Source</bold></th>
<th valign="top" align="center"><bold>Numerator df</bold></th>
<th valign="top" align="center"><bold>Denominator df</bold></th>
<th valign="top" align="center"><bold>F</bold></th>
<th valign="top" align="center"><bold>Sig</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.002</td>
<td valign="top" align="center">0.147</td>
<td valign="top" align="center">0.705</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">0.591</td>
<td valign="top" align="center">0.451</td>
</tr>
<tr>
<td valign="top" align="left">Cancer type</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">21.006</td>
<td valign="top" align="center">1.353</td>
<td valign="top" align="center">0.268</td>
</tr>
<tr>
<td valign="top" align="left">Choice of anti-angiogenic drugs</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">21.006</td>
<td valign="top" align="center">1.225</td>
<td valign="top" align="center">0.330</td>
</tr>
<tr>
<td valign="top" align="left">Before/after treatment</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">42.066</td>
<td valign="top" align="center">5.672</td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left">History of prior heart disease</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">History of cardiovascular drugs</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Smoking history</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">3.814</td>
<td valign="top" align="center">0.064</td>
</tr>
<tr>
<td valign="top" align="left">Drinking history</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.004</td>
<td valign="top" align="center">0.348</td>
<td valign="top" align="center">0.561</td>
</tr>
<tr>
<td valign="top" align="left">Effect of chemotherapeutic drugs on cardiotoxicity</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">1.421</td>
<td valign="top" align="center">0.247</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Type III test of fixed effects of CK.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Source</bold></th>
<th valign="top" align="center"><bold>Numerator df</bold></th>
<th valign="top" align="center"><bold>Denominator df</bold></th>
<th valign="top" align="center"><bold>F</bold></th>
<th valign="top" align="center"><bold>Sig</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">0.461</td>
<td valign="top" align="center">0.505</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">2.961</td>
<td valign="top" align="center">0.100</td>
</tr>
<tr>
<td valign="top" align="left">Cancer type</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">1.608</td>
<td valign="top" align="center">0.177</td>
</tr>
<tr>
<td valign="top" align="left">Choice of anti-angiogenic drugs</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">0.897</td>
<td valign="top" align="center">0.483</td>
</tr>
<tr>
<td valign="top" align="left">Before/after treatment</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">42.000</td>
<td valign="top" align="center">4.946</td>
<td valign="top" align="center">0.032</td>
</tr>
<tr>
<td valign="top" align="left">History of prior heart disease</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">4.299</td>
<td valign="top" align="center">0.051</td>
</tr>
<tr>
<td valign="top" align="left">History of cardiovascular drugs</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">5.540</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left">Smoking history</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">4.708</td>
<td valign="top" align="center">0.042</td>
</tr>
<tr>
<td valign="top" align="left">Drinking history</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">0.798</td>
<td valign="top" align="center">0.382</td>
</tr>
<tr>
<td valign="top" align="left">Effect of chemotherapeutic drugs on cardiotoxicity</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21.000</td>
<td valign="top" align="center">0.324</td>
<td valign="top" align="center">0.575</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Type III test of fixed effects of CK-MB.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Source</bold></th>
<th valign="top" align="center"><bold>Numerator df</bold></th>
<th valign="top" align="center"><bold>Denominator df</bold></th>
<th valign="top" align="center"><bold>F</bold></th>
<th valign="top" align="center"><bold>Sig</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">24.000</td>
<td valign="top" align="center">0.340</td>
<td valign="top" align="center">0.565</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">24.000</td>
<td valign="top" align="center">1.520</td>
<td valign="top" align="center">0.230</td>
</tr>
<tr>
<td valign="top" align="left">Cancer type</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">24.000</td>
<td valign="top" align="center">2.034</td>
<td valign="top" align="center">0.075</td>
</tr>
<tr>
<td valign="top" align="left">Choice of anti-angiogenic drugs</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">24.000</td>
<td valign="top" align="center">2.042</td>
<td valign="top" align="center">0.120</td>
</tr>
<tr>
<td valign="top" align="left">Before/after treatment</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">46.000</td>
<td valign="top" align="center">1.621</td>
<td valign="top" align="center">0.209</td>
</tr>
<tr>
<td valign="top" align="left">History of prior heart disease</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">24.000</td>
<td valign="top" align="center">9.675</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">History of cardiovascular drugs</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">24.000</td>
<td valign="top" align="center">12.163</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Smoking history</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">24.000</td>
<td valign="top" align="center">3.065</td>
<td valign="top" align="center">0.093</td>
</tr>
<tr>
<td valign="top" align="left">Drinking history</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">24.000</td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">0.899</td>
</tr>
<tr>
<td valign="top" align="left">Effect of chemotherapeutic drugs on cardiotoxicity</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">24.000</td>
<td valign="top" align="center">0.299</td>
<td valign="top" align="center">0.590</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Exclude the influence of the above factors, the median of AST activities were 18.40 (10.20, 12.10&#x02013;126.70) before treatment and 26.70 (24.00, 12.00&#x02013;209.10) after anti-angiogenic treatment, which was markedly decreased (<italic>P</italic> = 0.002). The mean AST activities were 11.26 higher after anti-angiogenic treatment than before, <xref ref-type="table" rid="T2">Tables 2</xref>, <xref ref-type="table" rid="T7">7</xref>. The median of LDH activities were 192.00 (103.00, 100.00&#x02013;753.00) before treatment and 206 (122.00, 123.00&#x02013;1,135.00) after anti-angiogenic treatment, which was significantly decreased (<italic>P</italic> = 0.022). The mean LDH activities were 38.58 higher after anti-angiogenic treatment than before, <xref ref-type="table" rid="T2">Tables 2</xref>, <xref ref-type="table" rid="T7">7</xref>.</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Estimates of fixed effect of treatment, cardiovascular drugs history, history of prior heart disease, and smoking history on serum AST, LDH, CK, and CK-MB activities.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Dependent Variable</bold></th>
<th valign="top" align="left"><bold>Parameter</bold></th>
<th valign="top" align="center"><bold>Estimate</bold></th>
<th valign="top" align="center"><bold>SE</bold></th>
<th valign="top" align="center"><bold>df</bold></th>
<th valign="top" align="center"><bold>t</bold></th>
<th valign="top" align="center"><bold>Sig</bold>.</th>
<th valign="top" align="center"><bold>95% CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">AST</td>
<td valign="top" align="left">treatment=before</td>
<td valign="top" align="center">&#x02212;11.26</td>
<td valign="top" align="center">3.51</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">&#x02212;3.207</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">&#x02212;18.24&#x0007E;-4.27</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">treatment =after</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">LDH</td>
<td valign="top" align="left">treatment=before</td>
<td valign="top" align="center">&#x02212;38.58</td>
<td valign="top" align="center">16.20</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">&#x02212;2.382</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center">&#x02212;71.27&#x0007E;-5.89</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">treatment=after</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">CK</td>
<td valign="top" align="left">treatment=before</td>
<td valign="top" align="center">&#x02212;14.35</td>
<td valign="top" align="center">6.45</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">&#x02212;2.224</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center">&#x02212;27.37&#x0007E;-1.33</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">treatment=after</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">cardiovascular drugs history=yes</td>
<td valign="top" align="center">&#x02212;84.48</td>
<td valign="top" align="center">35.89</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">&#x02212;2.354</td>
<td valign="top" align="center">0.028</td>
<td valign="top" align="center">&#x02212;159.12&#x0007E;-9.84</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">cardiovascular drugs history=no</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">smoking history=yes</td>
<td valign="top" align="center">47.38</td>
<td valign="top" align="center">21.84</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">2.170</td>
<td valign="top" align="center">0.042</td>
<td valign="top" align="center">1.97&#x0007E;92.80</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">smoking history=no</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">CK-MB</td>
<td valign="top" align="left">history of prior heart disease=yes</td>
<td valign="top" align="center">129.04</td>
<td valign="top" align="center">41.49</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">3.111</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">43.42&#x0007E;214.67</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">history of prior heart disease=no</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">cardiovascular drugs history=yes</td>
<td valign="top" align="center">&#x02212;149.10</td>
<td valign="top" align="center">42.75</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">&#x02212;3.488</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">&#x02212;237.34&#x0007E;-60.86</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">cardiovascular drugs history=no</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Interestingly, serum CK and CK-MB activities have been affected by anti-angiogenic treatment, history of prior heart disease, pharmacohistory of cardiovascular drugs, and smoking history. The mean serum CK activities was 14.35, significantly increased after anti-angiogenic treatment than before (<italic>P</italic> = 0.032). Patients who had cardiovascular drugs history had 84.48 lower serum CK activities (<italic>P</italic> = 0.028) than those without cardiovascular drugs history. Smoking history is another predictor variables, patients who had smoking history was 47.38 higher than those without (<italic>P</italic> = 0.042), <xref ref-type="table" rid="T7">Table 7</xref>. Serum CK-MB activities were mainly history of prior heart disease and cardiovascular drugs. Patients who had prior heart disease history was 129.04 higher serum CK-MB activities (<italic>P</italic> = 0.005) than those without prior heart disease history. Conversely, Patients who had cardiovascular drugs history was 149.10 lower serum CK-MB activities (<italic>P</italic> = 0.002) than those without cardiovascular drugs history.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This retrospective study revealed the blood biomarkers, such as AST, LDH and CK were markedly increased with use of anti-angiogenic drugs, indicating that use of anti-angiogenic drugs may be related to an increased risk of myocardial damage. Moreover, serum CK and CK-MB activities have been affected by history of prior heart disease, cardiovascular drugs, and smoking. The determination of myocardial enzymes mainly includes AST, LDH, CK and CK-MB. When the cardiomyocytes have inflammation (myocarditis) or necrosis (myocardial infarction) due to various reasons, the enzymes contained in the cardiomyocytes can enter the blood, and the activity (content) of these enzymes in the blood increases. Elevation of these serum markers in this study did not exceed the normal upper limit, but it may indicate a tendency for long-term use to accumulate toxicity.</p>
<p>AST is one of the most important aminotransferases in the body. It is mainly found in tissue cells such as myocardium, liver, skeletal muscle, kidney, pancreas, spleen, lung, red blood cells, as well as in normal human plasma, bile, cerebrospinal fluid, and saliva. Medium, but it cannot be detected in urine without kidney damage. The content of AST in the myocardium is the most abundant, so it has certain significance for the diagnosis of myocardial infarction. When acute myocardial infarction (AMI) occurs, the serum AST activity generally rises to 4&#x02013;5 times the upper limit of the reference value. If it reaches 10&#x02013;15 times the upper limit of the reference value, it is often fatal infarction occurred. However, the rise of AST is later than CK in AMI, and recovers earlier than LDH, diagnostic value of AST for AMI is becoming less and less. Nevertheless, AST is an indispensable evaluation index in the clinical research of oncology drug evaluation. The study determined the safety and effectiveness of anti-angiogenic therapy with sorafenib and bevacizumab in patients with advanced HCC and results found that dose-limiting toxicities included hypertension, AST increase, creatinine increase, etc. (<xref ref-type="bibr" rid="B9">9</xref>). Patients receive intravenous ramucirumab (8 mg/kg) every 2 weeks were observed in a phase 3 clinical trial. Hypertension (34 [12%] of 277 patients treated with ramucirumab), increased AST concentration (15 [5%]), thrombocytopenia (13 [5%]), etc. were occurred with grade 3 or greater adverse events (<xref ref-type="bibr" rid="B10">10</xref>). LDH is an extremely important enzyme that regulates the conversion of pyruvate to lactic acid in anaerobic glycolysis and play an important role in cancer metabolism (<xref ref-type="bibr" rid="B11">11</xref>). Meanwhile, LDH is a useful marker for predicting the efficacy of bevacizumab-containing chemotherapy in patients with metastatic colorectal cancer (<xref ref-type="bibr" rid="B12">12</xref>). It is widely present in the cytoplasm and mitochondria of tissue cells such as liver, heart, skeletal muscle, lung, spleen, brain, red blood cells, platelets, etc. LDH is a tetramer composed of two different subunits (LDHA and LDHB), forming 5 isoenzymes with M-type and H-type subunits: H4(LD1), MH3(LD2), M2H(LD3), M3H(LD4), M4(LD5). Different tissues have their characteristic isoenzymes. The ratios of LD isoenzymes in the heart, kidney and red blood cells are similar, with LD1 and LD2 dominating. When the myocardium is damaged, the myocardial cell membrane ruptures, and the mitochondria and cytoplasmic substances leak out into the intercellular fluid and periphral blood. In response to the hypoxic characteristic of the tumor microenvironment, cancer cells generate a large amount of lactate <italic>via</italic> the metabolism of glucose and glutamine (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). High levels of LDHA expression serves as a prognostic indicator in patients with different type of cancers (<xref ref-type="bibr" rid="B15">15</xref>). LDH increased production of reactive oxygen species and regulate cell apoptosis and autophagy (<xref ref-type="bibr" rid="B16">16</xref>). Thus, the role of LDH in tumor biology is more complex and may as a potential target in the treatment of cancer. Although in this study, the elevation of AST and LDH in patients did not exceed the normal upper limit, there was a significant increase in serum AST and LDH activities, compared with the matched healthy control.</p>
<p>But it is regrettable that the serum CK and CK-MB activities of matched healthy control were not found. All healthy control were from a medical examination at our hospital, serum CK and CK-MB activities are not included in the physical examination at present. Interestingly, serum CK and CK-MB activities have been affected by history of prior heart disease, cardiovascular drugs, and smoking.</p>
<p>CK mainly exists in skeletal muscle and cardiac muscle, and brain tissue. CK is an important energy regulating enzyme in the myocardium. Under the energy provided by ATP, it catalyzes the reversible phosphorylation of ATP and creatine to ADP and phosphocreatine in cellular energy metabolism, which can be transported to the cytoplasm and stored. Serum CK can be increased in various types of progressive muscle atrophy. CK begins to increase 2&#x02013;4 h after AMI and can reach 10&#x02013;12 times the upper limit of normal. It has higher specificity than AST and LDH for diagnosing myocardial infarction, but the increase of this enzyme lasts for a short time, and it returns to normal after 2&#x02013;4 days. There are three isoenzyme formations for CK: CK-MB (mostly in the heart), CK-MM (mostly in the muscle), or CK-BB (mostly in the brain) (<xref ref-type="bibr" rid="B17">17</xref>). CK-MB activity has been recognized as a specific and sensitive biomarker of clinical and subclinical myocardial injury (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B18">18</xref>). CK-MB activities are significantly positively correlated with the extent of myocardial injury, so serum CK-MB can be used as a biomarker for AMI (<xref ref-type="bibr" rid="B19">19</xref>). The presence of CK-MB in patients with cancers may cause confusion with AMI. Serial determinations of both CK and LDH are of great help in differential diagnosis 3512170. In addition, a previous study demonstrated that an elevated serum CK-MB in cancer patients may be associated with cardiac insufficiency, severe illness status, and have high mortality (<xref ref-type="bibr" rid="B20">20</xref>). Even a slight increase in CK-MB indicated the possibility of myocardial infarction (<xref ref-type="bibr" rid="B21">21</xref>). There has been no retrospective report focusing on CK, CK-MB and anti-angiogenic therapy. In the present study, both CK and CK-MB levels were significant elevated after use anti-angiogenic drug. Myocardial ischaemia might be the reason for the slight increase in CK and CK-MB. Furthermore, Some studies have demonstrated that CK-MB-to-total-CK ratio could be clinically utilized as a primary screening tool for cancer (<xref ref-type="bibr" rid="B22">22</xref>), which is an easily available indicator. In this study, we found that patients who had prior heart disease history had a higher serum CK-MB activities, while in patients who had cardiovascular drugs history had a lower serum CK and CK-MB activities on the contrary. The reason for the result is likely to be that people with previous cardiovascular disease have damage to heart muscle cells, while the drugs reduce the damage, which need to be further studied.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>Our findings suggest that the serum AST, LDH and CK activities of patients who had used anti-angiogenic drugs were likely to have elevated. History of prior heart disease, cardiovascular drugs, and smoking should be considered in the anti-angiogenic treatment. AST, LDH, CK and CK-MB are indicators of myocardial muscle injury, such as myocarditis or myocardial infarction. Use of anti-angiogenic drugs should not be assumed to be completely safe and without any cardiovascular risks. In addition, attention should also be paid to long-term use to accumulate toxicity. Apparently, the number of cases in patients should be expanded and more detailed research should be done in the future.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>This was an observational, retrospective study that obtained informed consent from all subjects, and this research was approved by the Ethics Committee of Guang&#x00027;anmen Hospital, China Academy of Chinese Medical Sciences with code number 2020-073-KT. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>QZ and YZ: conception and design and manuscript writing. YZ and WH: administrative support and manuscript edition. QZ and HW: data extraction and data analysis. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by the Fundamental Research Funds for the Central public welfare research institutes (2020YJSZX-3), National Natural Science Foundation of China (No. 82104656) and Beijing Municipal Natural Science Foundation (7214294).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack><p>We would like to thank Chen Cheng who worked in marketing and community department of PingCAP helped for programming and cleaning data.</p>
</ack>
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