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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1255158</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2023.1255158</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Bibliometric and visual analysis of doxorubicin-induced cardiotoxicity</article-title>
<alt-title alt-title-type="left-running-head">Lin et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2023.1255158">10.3389/fphar.2023.1255158</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Xiaoxiao</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2537441/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Guomin</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Shuai</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1854606/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Huang</surname>
<given-names>Jinyu</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1699092/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff>
<institution>Affiliated Hangzhou First People&#x2019;s Hospital</institution>, <institution>Zhejiang University School of Medicine</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/18460/overview">Jan Willem Van Der Laan</ext-link>, Medicinse Evaluation Board, Netherlands</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2361389/overview">Priyanka Choudhury</ext-link>, Medical College of Wisconsin, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/922689/overview">Jing Lu</ext-link>, Sun Yat-Sen University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Shuai Wang, <email>drwangshuai@zju.edu.cn</email>; Jinyu Huang, <email>drhuangjinyu@126.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>11</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1255158</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>10</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Lin, Wu, Wang and Huang.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Lin, Wu, Wang and Huang</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> Doxorubicin-induced cardiotoxicity represents a prevalent adverse effect encountered in patients undergoing treatment with doxorubicin. To date, there has been no bibliometric study to summarize the field of doxorubicin-induced cardiotoxicity. In our study, we aim to determine the current status and frontiers of doxorubicin-induced cardiotoxicity by bibliometric analysis.</p>
<p>
<bold>Methods:</bold> The documents concerning doxorubicin-induced cardiotoxicity are obtained from the Web of Science Core Collection database (WOSCC), and VOSviewer 1.6.16, CiteSpace 5.1.3 and the WOSCC&#x2019;s literature analysis wire were used to conduct the bibliometric analysis.</p>
<p>
<bold>Results:</bold> In total, 7,021 publications were encompassed, which are produced by 37,152 authors and 6,659 organizations, 1,323 journals, and 101 countries/regions. The most productive author, institution, country and journal were Bonnie Ky with 35 publications, University of Texas with 190 documents, the United States with 1,912 publications, and <italic>PLOS ONE</italic> with 120 documents. The first high-cited article was published in the NEJM with 8,134 citations authored by DJ Slamon et al., in 2001. For keyword analysis, there are four clusters depicted in distinct directions. The keywords in the red cluster are oxidative stress, apoptosis, and cardiomyopathy. The keywords in the green cluster are cardiotoxicity, heart failure, and anthracycline. The keywords in the blue cluster are chemotherapy, trastuzumab, and paclitaxel. The keywords in the purple cluster are doxorubicin, adriamycin, and cancer. Most of the documents were derived from the United States, China and Italy (4,080/7,021, 58.1%). The number of studies from other countries should be increased.</p>
<p>
<bold>Conclusion:</bold> In conclusion, the main research hotspots and frontiers in the field of doxorubicin-induced cardiotoxicity include the role of doxorubicin in cardiotoxicity, the mechanisms underlying doxorubicin-induced cardiotoxicity, and the development of treatment strategies for doxorubicin-induced cardiotoxicity. More studies are needed to explore the mechanisms and treatment of doxorubicin-induced cardiotoxicity.</p>
</abstract>
<kwd-group>
<kwd>doxorubicin-induced cardiotoxicity</kwd>
<kwd>mechanisms</kwd>
<kwd>treatment</kwd>
<kwd>develop</kwd>
<kwd>bibliometric analysis</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pharmacology of Anti-Cancer Drugs</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Doxorubicin, an anthracycline antibiotic, has played an indispensable role in the realm of oncology since its discovery. This potent antineoplastic agent has demonstrated significant efficacy against a broad spectrum of malignancies, including hematological malignancies, breast cancer, sarcomas, and solid tumors, among others. Its widespread therapeutic success, However, doxorubicin-induced cardiotoxicity is one of the major side effects which can lead to heart failure and other cardiovascular problems, and limits the clinical use of doxorubicin (<xref ref-type="bibr" rid="B9">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="B36">Sangweni et al., 2022</xref>; <xref ref-type="bibr" rid="B47">Wu et al., 2022</xref>). Clinically, doxorubicin-induced cardiotoxicity manifests across a spectrum (<xref ref-type="bibr" rid="B10">Cheng et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B19">Jones and Dass, 2022</xref>; <xref ref-type="bibr" rid="B24">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B25">Lu et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Chen et al., 2023</xref>; <xref ref-type="bibr" rid="B12">Ding et al., 2023</xref>; <xref ref-type="bibr" rid="B21">Kuno et al., 2023</xref>; <xref ref-type="bibr" rid="B26">Luo et al., 2023</xref>; <xref ref-type="bibr" rid="B33">Pharoah et al., 2023</xref>; <xref ref-type="bibr" rid="B48">Wu et al., 2023</xref>; <xref ref-type="bibr" rid="B53">Zhao et al., 2023</xref>). Some patients may experience subtle decreases in left ventricular ejection fraction without overt symptoms, while others progress to debilitating heart failure, a consequence that can be fatal and limits the drug&#x2019;s overall therapeutic index. Patients should be monitored closely during treatment, and their cardiac function should be assessed using tests such as echocardiography or cardiac MRI regularly.</p>
<p>While the advent of new chemotherapeutic agents and targeted therapies has broadened the landscape of cancer treatment options, doxorubicin remains a cornerstone for many protocols. Many studies have explored the mechanisms and treatment of doxorubicin-induced cardiotoxicity. However, these studies are not analyzed and summarized by the method of bibliometric analysis. The bibliometric analysis is a quantitative research method that involves the statistical analysis of patterns in published literature. It is often used to identify trends in a specific field, such as the most cited papers or author, the growth of a particular research area over time, or the impact of the particular publication. The most common bibliometric measures used are citation counts, <italic>h</italic>-index, and co-citation analysis. It can provide valuable insights into the development of a particular research field, the impact of specific papers or authors, and the relationships between different research areas. It is often used to inform decisions about research funding, hiring and promotion, and the development of research policies and strategies. In our study, we aim to determine the current status and frontiers of doxorubicin-induced cardiotoxicity by bibliometric analysis.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Search strategy</title>
<p>As the most reliable citation-based database that is extensively used for bibliometric analysis, WoSCC was used to download the literature on doxorubicin-induced cardiotoxicity in our study (<xref ref-type="bibr" rid="B23">Lin et al., 2022</xref>; <xref ref-type="bibr" rid="B29">Mu et al., 2022</xref>). The search term was TS&#x3d; (&#x201c;Cardiac&#x201d; OR &#x201c;Cardiomyocyte&#x201d; OR &#x201c;Cardiac dysfunction&#x201d; OR &#x201c;Cardiomyopathy&#x201d; OR &#x201c;Cardiopathic&#x201d; OR &#x201c;Cardiotoxicity&#x201d; OR &#x201c;Myocardial&#x201d; OR &#x201c;myocardium&#x201d; OR &#x201c;heart&#x201d;) AND (&#x201c;Doxorubicin&#x201d; OR &#x201c;Adriamycin&#x201d;). For this study, articles and reviews published in the English language and published between 1 January 2000, and 1 September 2022 were included.</p>
</sec>
<sec id="s2-2">
<title>2.2 Data collection and analysis</title>
<p>We downloaded the &#x201c;Plain Text&#x201d; versions of relevant records from WoSCC. Our analysis utilized WoSCC&#x2019;s literature analysis wire to identify the top 20 highly cited publications and ten high-yield countries/regions, journals, authors, and institutions. We employed VOSviewer 1.6.16 software to perform a co-occurrence analysis of all keywords and determine the co-authorship of organizations, authors, and countries/regions (<xref ref-type="bibr" rid="B45">van Eck and Waltman, 2010</xref>). CiteSpace 5.1.3 is used to perform burst detection of keywords.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Trend temporal trends in publication output</title>
<p>According to the search criteria, a total of 7,021 documents were identified in the study. The search flow was displayed in <xref ref-type="fig" rid="F1">Figure 1</xref>. For time periods, the documents can be classified into two phases: the documents published before 2006 were in the first phase, and in this phase, the number of documents was small (no more than 200 publications annually). The second phase was 2015-2022, and in this phase, the overall trend for the number of documents was increased annually, and it is estimated that the publications of Doxorubicin-Induced Cardiotoxicity will continue to increase due the importance of this topic. For types of publications, there are 6,164 articles (87.8%) and 857 reviews (12.2%). For the subject area of documents, the top two subject categories were pharmacology pharmacy (1,732 documents, 24.7%) and oncology (1,584 documents, 22.6%), which was displayed in <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart of the inclusion and exclusion criteria.</p>
</caption>
<graphic xlink:href="fphar-14-1255158-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>The yearly quantity and literature type of publications on TRE from inception to 1 May 2022. The figure includes <bold>(A)</bold> literature types distribution, <bold>(B)</bold> subject categories distribution, and <bold>(C)</bold> annual publications quantitative distribution.</p>
</caption>
<graphic xlink:href="fphar-14-1255158-g002.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Author distribution</title>
<p>In the field of doxorubicin-induced cardiotoxicity, 37,152 contributors are involved. Bonnie Ky is the most productive author with 35 documents (<italic>h</italic>-index 23), followed by Paulo J Oliveira with 31 documents (<italic>h</italic>-index 22), Steven E Lipshultz with 30 publications documents (<italic>h</italic>-index 20), Leontien M Kremer with documents (<italic>h</italic>-index 20), and Carlo Gabriele Tocchetti with 23 documents (<italic>h</italic>-index 19). The most frequently cited authors are Michael S Ewer, Daniela Cardinale, and Bonnie Ky. The co-authorship map is shown in <xref ref-type="fig" rid="F3">Figure 3A</xref>. In general, Bonnie Ky and Steven E Lipshultz are among both the top 10 productive and top 10 most cooperative authors.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The visualization knowledge maps of co-authorship. It includes <bold>(A)</bold> the co-authorship map of authors that indicates the authors who cooperate in the field of TRE, <bold>(B)</bold> the co-authorship map of organizations, and <bold>(C)</bold> the co-authorship map of countries. Different colors indicate different clusters, and the size of nodes indicates the number of publications. The thickness of the lines represents the link strength of the countries.</p>
</caption>
<graphic xlink:href="fphar-14-1255158-g003.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Countries/regions and institution distribution</title>
<p>A total of 6,659 organizations and 101 countries/regions are related to all publications. The most productive institutions are the University of Texas (190 documents/16072 citations), the Harvard University (182 documents/14186 citations), and the University of California System (132 documents/16284 citations). The network visualization map is shown in <xref ref-type="fig" rid="F3">Figure 3B</xref>. For Countries/Regions, the United States has the most publications (1,912 publications), followed by China (1,613 publications), Italy (555 publications), Canada (368 publications), and Japan (331 publications). <xref ref-type="fig" rid="F3">Figure 3C</xref> displays the network visualization map, while <xref ref-type="table" rid="T1">Table 1</xref> provides a summary of the top 10 high-yield countries/regions, institutions, and authors. In general, United States, Peoples R China, Italy, Canada, Germany, and England are among both the top 10 productive and top 10 most cooperative countries/regions, and the university of Texas and the Harvard University are among both the top 10 productive and top 10 most cooperative institutions.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Ranking of the most productive 10 authors, institutions and countries.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Items</th>
<th colspan="5" align="center">Publications</th>
<th colspan="3" align="center">Co-authorship maps</th>
</tr>
<tr>
<th align="center">Rank</th>
<th align="left">Country</th>
<th align="center">Number</th>
<th align="center">Citations</th>
<th align="center">H-index</th>
<th align="center">Rank</th>
<th align="left">Name</th>
<th align="center">Total link strength</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Country</td>
<td align="center">1</td>
<td align="left">United States</td>
<td align="center">1,912</td>
<td align="center">97,866</td>
<td align="center">136</td>
<td align="center">1</td>
<td align="left">United States</td>
<td align="center">1,042</td>
</tr>
<tr>
<td align="left"/>
<td align="center">2</td>
<td align="left">China</td>
<td align="center">1,613</td>
<td align="center">35,234</td>
<td align="center">77</td>
<td align="center">2</td>
<td align="left">Italy</td>
<td align="center">464</td>
</tr>
<tr>
<td align="left"/>
<td align="center">3</td>
<td align="left">Italy</td>
<td align="center">555</td>
<td align="center">28,583</td>
<td align="center">75</td>
<td align="center">3</td>
<td align="left">England</td>
<td align="center">449</td>
</tr>
<tr>
<td align="left"/>
<td align="center">4</td>
<td align="left">Canada</td>
<td align="center">368</td>
<td align="center">30,567</td>
<td align="center">75</td>
<td align="center">4</td>
<td align="left">Germany</td>
<td align="center">428</td>
</tr>
<tr>
<td align="left"/>
<td align="center">5</td>
<td align="left">Japan</td>
<td align="center">331</td>
<td align="center">10,002</td>
<td align="center">55</td>
<td align="center">5</td>
<td align="left">Peoples R China</td>
<td align="center">376</td>
</tr>
<tr>
<td align="left"/>
<td align="center">6</td>
<td align="left">Germany</td>
<td align="center">298</td>
<td align="center">22,526</td>
<td align="center">55</td>
<td align="center">6</td>
<td align="left">France</td>
<td align="center">364</td>
</tr>
<tr>
<td align="left"/>
<td align="center">7</td>
<td align="left">India</td>
<td align="center">295</td>
<td align="center">7,922</td>
<td align="center">48</td>
<td align="center">7</td>
<td align="left">Canada</td>
<td align="center">349</td>
</tr>
<tr>
<td align="left"/>
<td align="center">8</td>
<td align="left">England</td>
<td align="center">262</td>
<td align="center">11,674</td>
<td align="center">56</td>
<td align="center">8</td>
<td align="left">Spain</td>
<td align="center">277</td>
</tr>
<tr>
<td align="left"/>
<td align="center">9</td>
<td align="left">France</td>
<td align="center">240</td>
<td align="center">11,668</td>
<td align="center">54</td>
<td align="center">9</td>
<td align="left">Netherlands</td>
<td align="center">268</td>
</tr>
<tr>
<td align="left"/>
<td align="center">10</td>
<td align="left">Egypt</td>
<td align="center">221</td>
<td align="center">4,868</td>
<td align="center">38</td>
<td align="center">10</td>
<td align="left">Switzerland</td>
<td align="center">262</td>
</tr>
<tr>
<td align="left">Institution</td>
<td align="center">1</td>
<td align="left">University of Texas System</td>
<td align="center">190</td>
<td align="center">16,072</td>
<td align="center">56</td>
<td align="center">1</td>
<td align="left">Dana-Farber Cancer Institute</td>
<td align="center">274</td>
</tr>
<tr>
<td align="left"/>
<td align="center">2</td>
<td align="left">Harvard University</td>
<td align="center">182</td>
<td align="center">14,186</td>
<td align="center">59</td>
<td align="center">2</td>
<td align="left">Harvard University</td>
<td align="center">232</td>
</tr>
<tr>
<td align="left"/>
<td align="center">3</td>
<td align="left">University of California System</td>
<td align="center">132</td>
<td align="center">16,284</td>
<td align="center">44</td>
<td align="center">3</td>
<td align="left">The University Texas MD Anderson Cancer Center</td>
<td align="center">224</td>
</tr>
<tr>
<td align="left"/>
<td align="center">4</td>
<td align="left">Udice French Research Universities</td>
<td align="center">128</td>
<td align="center">5,186</td>
<td align="center">40</td>
<td align="center">4</td>
<td align="left">Memorial Sloan Kettering Cancer Center</td>
<td align="center">213</td>
</tr>
<tr>
<td align="left"/>
<td align="center">5</td>
<td align="left">The University Texas MD Anderson Cancer Center</td>
<td align="center">126</td>
<td align="center">13,799</td>
<td align="center">47</td>
<td align="center">5</td>
<td align="left">Massachusetts General Hospital</td>
<td align="center">191</td>
</tr>
<tr>
<td align="left"/>
<td align="center">6</td>
<td align="left">University of Toronto</td>
<td align="center">86</td>
<td align="center">3,388</td>
<td align="center">33</td>
<td align="center">6</td>
<td align="left">University of Pennsylvania</td>
<td align="center">189</td>
</tr>
<tr>
<td align="left"/>
<td align="center">7</td>
<td align="left">Institute National De La Sante Et De La Recherche Medicale Inserm</td>
<td align="center">84</td>
<td align="center">3,189</td>
<td align="center">29</td>
<td align="center">7</td>
<td align="left">University of Rochester</td>
<td align="center">187</td>
</tr>
<tr>
<td align="left"/>
<td align="center">8</td>
<td align="left">University of Pennsylvania</td>
<td align="center">83</td>
<td align="center">6,934</td>
<td align="center">37</td>
<td align="center">8</td>
<td align="left">China Medical University</td>
<td align="center">179</td>
</tr>
<tr>
<td align="left"/>
<td align="center">9</td>
<td align="left">Wuhan University</td>
<td align="center">82</td>
<td align="center">1,612</td>
<td align="center">22</td>
<td align="center">9</td>
<td align="left">Stanford University</td>
<td align="center">167</td>
</tr>
<tr>
<td align="left"/>
<td align="center">10</td>
<td align="left">University of London</td>
<td align="center">78</td>
<td align="center">3,806</td>
<td align="center">22</td>
<td align="center">10</td>
<td align="left">Mayo Clinic</td>
<td align="center">165</td>
</tr>
<tr>
<td align="left">Author</td>
<td align="center">1</td>
<td align="left">Bonnie Ky</td>
<td align="center">35</td>
<td align="center">4,682</td>
<td align="center">23</td>
<td align="center">1</td>
<td align="left">Martin Sterba</td>
<td align="center">116</td>
</tr>
<tr>
<td align="left"/>
<td align="center">2</td>
<td align="left">Paulo J Oliveira</td>
<td align="center">31</td>
<td align="center">1,682</td>
<td align="center">22</td>
<td align="center">2</td>
<td align="left">Bonnie Ky</td>
<td align="center">110</td>
</tr>
<tr>
<td align="left"/>
<td align="center">3</td>
<td align="left">Steven E Lipshultz</td>
<td align="center">30</td>
<td align="center">1,682</td>
<td align="center">22</td>
<td align="center">3</td>
<td align="left">Tomas Simunek</td>
<td align="center">109</td>
</tr>
<tr>
<td align="left"/>
<td align="center">4</td>
<td align="left">Leontien C M Kremer</td>
<td align="center">27</td>
<td align="center">2,569</td>
<td align="center">20</td>
<td align="center">4</td>
<td align="left">Eduard Jirkovsky</td>
<td align="center">103</td>
</tr>
<tr>
<td align="left"/>
<td align="center">5</td>
<td align="left">Carlo Gabriele Tocchetti</td>
<td align="center">23</td>
<td align="center">1,701</td>
<td align="center">19</td>
<td align="center">5</td>
<td align="left">Paolo Spallarossa</td>
<td align="center">102</td>
</tr>
<tr>
<td align="left"/>
<td align="center">6</td>
<td align="left">Aalt Bast</td>
<td align="center">23</td>
<td align="center">454</td>
<td align="center">12</td>
<td align="center">6</td>
<td align="left">Steven E Lipshultz</td>
<td align="center">98</td>
</tr>
<tr>
<td align="left"/>
<td align="center">7</td>
<td align="left">Reid Hayward</td>
<td align="center">23</td>
<td align="center">510</td>
<td align="center">12</td>
<td align="center">7</td>
<td align="left">Olga Lencova-Popelova</td>
<td align="center">87</td>
</tr>
<tr>
<td align="left"/>
<td align="center">8</td>
<td align="left">Michael S Ewer</td>
<td align="center">22</td>
<td align="center">6,004</td>
<td align="center">19</td>
<td align="center">8</td>
<td align="left">Melissa M Hudson</td>
<td align="center">85</td>
</tr>
<tr>
<td align="left"/>
<td align="center">9</td>
<td align="left">Qizhu Tang</td>
<td align="center">20</td>
<td align="center">735</td>
<td align="center">12</td>
<td align="center">9</td>
<td align="left">Carlo Gabriele Tocchetti</td>
<td align="center">85</td>
</tr>
<tr>
<td align="left"/>
<td align="center">10</td>
<td align="left">Daniela Cardinale</td>
<td align="center">20</td>
<td align="center">6,269</td>
<td align="center">17</td>
<td align="center">10</td>
<td align="left">Yvona Mazurova</td>
<td align="center">83</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-4">
<title>3.4 Distribution by journal</title>
<p>All documents are from 1,323 journals, and the highest-cited journal is Journal of Clinical Oncology with 12,428 citations. The top 3 productive journals are <italic>PLOS ONE</italic> with 120 documents (3,755 citations), <italic>Journal of Clinical Oncology with 96 documents</italic> (12,428 citations), and <italic>Cardiovascular Toxicology</italic> with 90 documents (1,364 citations). <xref ref-type="fig" rid="F4">Figure 4A</xref> illustrates the network visualization map of all journals, and <xref ref-type="table" rid="T2">Table 2</xref> presents a summary of the top 10 high-yield journals. In general, <italic>Journal of Clinical Oncology, PLOS ONE</italic> and <italic>Annals of Oncology</italic> are among the top 10 productive and top 10 most high-cited journals.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>The visualization knowledge maps of citation, including <bold>(A)</bold> citation of Journal and <bold>(B)</bold> citation of documents. Different colors indicate different clusters, and the size of the nodes represents the counts of citations. The distance between the two nodes indicates their correlation.</p>
</caption>
<graphic xlink:href="fphar-14-1255158-g004.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Ranking of the most productive 10 journals based on publications.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Ranking</th>
<th align="left">Journal name</th>
<th align="left">Country</th>
<th align="center">Counts</th>
<th align="center">Citation</th>
<th align="center">H-index</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="left">Plos One</td>
<td align="left">United States</td>
<td align="center">120</td>
<td align="center">3,755</td>
<td align="center">36</td>
</tr>
<tr>
<td align="center">2</td>
<td align="left">Journal of Clinical Oncology</td>
<td align="left">United States</td>
<td align="center">96</td>
<td align="center">12,428</td>
<td align="center">60</td>
</tr>
<tr>
<td align="center">3</td>
<td align="left">Cardiovascular Toxicology</td>
<td align="left">United States</td>
<td align="center">90</td>
<td align="center">1,364</td>
<td align="center">21</td>
</tr>
<tr>
<td align="center">4</td>
<td align="left">Cancer Chemotherapy and Pharmacology</td>
<td align="left">United States</td>
<td align="center">84</td>
<td align="center">2,049</td>
<td align="center">27</td>
</tr>
<tr>
<td align="center">5</td>
<td align="left">Biomedicine Pharmacotherapy</td>
<td align="left">France</td>
<td align="center">80</td>
<td align="center">1,560</td>
<td align="center">23</td>
</tr>
<tr>
<td align="center">6</td>
<td align="left">Scientific Reports</td>
<td align="left">England</td>
<td align="center">80</td>
<td align="center">1,796</td>
<td align="center">26</td>
</tr>
<tr>
<td align="center">7</td>
<td align="left">International Journal of Molecular Sciences</td>
<td align="left">Switzerland</td>
<td align="center">71</td>
<td align="center">1,123</td>
<td align="center">19</td>
</tr>
<tr>
<td align="center">8</td>
<td align="left">Oxidative Medicine and Cellular Longevity</td>
<td align="left">United States</td>
<td align="center">68</td>
<td align="center">1,604</td>
<td align="center">20</td>
</tr>
<tr>
<td align="center">9</td>
<td align="left">Annals of Oncology</td>
<td align="left">Netherlands</td>
<td align="center">66</td>
<td align="center">6,321</td>
<td align="center">34</td>
</tr>
<tr>
<td align="center">10</td>
<td align="left">Breast Cancer Research and Treatment</td>
<td align="left">United States</td>
<td align="center">66</td>
<td align="center">1,473</td>
<td align="center">23</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-5">
<title>3.5 Analysis of high-cited documents and co-cited references</title>
<p>
<xref ref-type="table" rid="T3">Table 3</xref> contains a list of the top 20 highest-cited documents (<xref ref-type="bibr" rid="B2">Armenian et al., 2017</xref>; <xref ref-type="bibr" rid="B4">Cardinale et al., 2015</xref>; <xref ref-type="bibr" rid="B5">Cardinale et al., 2010</xref>; <xref ref-type="bibr" rid="B6">Cardinale et al., 2004</xref>; <xref ref-type="bibr" rid="B7">Chatterjee et al., 2010</xref>; <xref ref-type="bibr" rid="B11">Demaria et al., 2017</xref>; <xref ref-type="bibr" rid="B13">Fang et al., 2019</xref>; <xref ref-type="bibr" rid="B14">Gabizon et al., 2003</xref>; <xref ref-type="bibr" rid="B27">Minotti et al., 2004</xref>; <xref ref-type="bibr" rid="B30">O&#x27;Brien et al., 2004</xref>; <xref ref-type="bibr" rid="B31">Octavia et al., 2012</xref>; <xref ref-type="bibr" rid="B34">Plana et al., 2014</xref>; <xref ref-type="bibr" rid="B37">Sawaya et al., 2012</xref>; <xref ref-type="bibr" rid="B38">Schneeweiss et al., 2013</xref>; <xref ref-type="bibr" rid="B39">Slamon et al., 2011</xref>; <xref ref-type="bibr" rid="B40">Slamon et al., 2001</xref>; <xref ref-type="bibr" rid="B41">Swain et al., 2003</xref>; <xref ref-type="bibr" rid="B42">Tacar et al., 2013</xref>; <xref ref-type="bibr" rid="B51">Zamorano et al., 2016</xref>; <xref ref-type="bibr" rid="B52">Zhang et al., 2012</xref>). Among these publications, 10 studies were clinical trials. The main observations of the clinical trials were summarized in <xref ref-type="table" rid="T4">Table 4</xref>. Among these clinical trials, nine were completed through collaboration between different institutes. The top 3 high-cited documents are as follows: the first high-cited article was published in NEJM with 8,134 citations authored by <xref ref-type="bibr" rid="B40">Slamon et al., 2001</xref>. In this article, they found that concurrent treatment with doxorubicin increased the risk of cardiac dysfunction significantly. The second article was published in Pharmacological Reviews with 2,630 citations authored by <xref ref-type="bibr" rid="B27">Minotti et al. (2004)</xref>. In this article, they summarized the molecular mechanisms of cardiotoxic synergism between doxorubicin and other anticancer agents, and the clinical recommendations for using cardio-protectants without interfering the tumor response. The third article was published in NEJM with 1,738 citations authored by <xref ref-type="bibr" rid="B39">Slamon et al., 2011</xref>. In this study, they randomly assigned 3,222 patients with HER2-positive early-stage breast cancer to receive cyclophosphamide and doxorubicin, and found that the addition of 1&#xa0;year of adjuvant trastuzumab could lower risks of cardiotoxicity. The network visualization map is displayed in <xref ref-type="fig" rid="F4">Figure 4B</xref>. <xref ref-type="fig" rid="F5">Figure 5</xref> showed the co-citation reference in the field of Doxorubicin-Induced Cardiotoxicity. Co-cited references are defined as one publication is cited by more than one article of the 7,021 extracted list. The first high-co-cited reference was <xref ref-type="bibr" rid="B27">Minotti et al. (2004)</xref>, <italic>Pharmacological Reviews</italic> in 2004 (736 co-citations), which was described above. The second high-co-cited reference was <xref ref-type="bibr" rid="B54">Singal and Iliskovic, 1998</xref>, <italic>NEJM</italic> in 1998 (668 co-citations) (<xref ref-type="bibr" rid="B49">WU et al., 2017</xref>). In this review, they discussed the cause, diagnosis, management of doxorubicin-induced cardiomyopathy. The third high-co-cited reference was <xref ref-type="bibr" rid="B41">Swain et al. (2003)</xref>, <italic>Cancer</italic> in 2003 (634 co-citations). In this article, they concluded that doxorubicin-related congestive heart failure (CHF) occurred at a lower cumulative dose and with greater frequency than previously reported. In general, there are 11 references among both top 20 high-cited and high-co-cited documents.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Ranking of the top 20 highest cited references.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="left">Title</th>
<th align="left">Journal</th>
<th align="left">Total citations</th>
<th align="left">Publication year</th>
<th align="left">First author</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="left">Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2</td>
<td align="left">New England Journal of Medicine</td>
<td align="left">8,134</td>
<td align="left">2001</td>
<td align="left">D J Slamon</td>
</tr>
<tr>
<td align="center">2</td>
<td align="left">Anthracyclines: Molecular advances and pharmacologic developments in antitumor activity and cardiotoxicity</td>
<td align="left">Pharmacological Reviews</td>
<td align="left">2,630</td>
<td align="left">2004</td>
<td align="left">Giorgio Minotti</td>
</tr>
<tr>
<td align="center">3</td>
<td align="left">Adjuvant Trastuzumab in HER2-Positive Breast Cancer</td>
<td align="left">New England Journal of Medicine</td>
<td align="left">1,727</td>
<td align="left">2011</td>
<td align="left">Dennis Slamon</td>
</tr>
<tr>
<td align="center">4</td>
<td align="left">Doxorubicin: an update on anticancer molecular action, toxicity and novel drug delivery systems</td>
<td align="left">Journal of Pharmacy and Pharmacology</td>
<td align="left">1,452</td>
<td align="left">2013</td>
<td align="left">Oktay Tacar</td>
</tr>
<tr>
<td align="center">5</td>
<td align="left">Congestive heart failure in patients treated with doxorubicin&#x2014;A retrospective analysis of three trials</td>
<td align="left">Cancer</td>
<td align="left">1,349</td>
<td align="left">2003</td>
<td align="left">Sandra M Swain</td>
</tr>
<tr>
<td align="center">6</td>
<td align="left">Pharmacokinetics of pegylated liposomal doxorubicin&#x2014;Review of animal and human studies</td>
<td align="left">Clinical Pharmacokinetics</td>
<td align="left">1,144</td>
<td align="left">2003</td>
<td align="left">Alberto Gabizon</td>
</tr>
<tr>
<td align="center">7</td>
<td align="left">Reduced cardiotoxicity and comparable efficacy in a phase III trial of pegylated liposomal doxorubicin HCl [CAELYX (TM)/Doxil (R)] versus conventional doxorubicin for first-line treatment of metastatic breast cancer</td>
<td align="left">Annals of Oncology</td>
<td align="left">1,113</td>
<td align="left">2004</td>
<td align="left">M E R O&#x27;Brien</td>
</tr>
<tr>
<td align="center">8</td>
<td align="left">Identification of the molecular basis of doxorubicin-induced cardiotoxicity</td>
<td align="left">Nature Medicine</td>
<td align="left">1,061</td>
<td align="left">2012</td>
<td align="left">Sui Zhang</td>
</tr>
<tr>
<td align="center">9</td>
<td align="left">2016 ESC Position Paper on cancer treatments and cardiovascular toxicity developed under the auspices of the ESC Committee for Practice Guidelines</td>
<td align="left">European Heart Journal</td>
<td align="left">1,052</td>
<td align="left">2016</td>
<td align="left">Jose Luis Zamorano</td>
</tr>
<tr>
<td align="center">10</td>
<td align="left">Expert Consensus for Multimodality Imaging Evaluation of Adult Patients during and after Cancer Therapy: A Report from the American Society of Echocardiography and the European Association of Cardiovascular Imaging</td>
<td align="left">Journal of The American Society of Echocardiography</td>
<td align="left">910</td>
<td align="left">2014</td>
<td align="left">Juan Carlos Plana</td>
</tr>
<tr>
<td align="center">11</td>
<td align="left">Doxorubicin-induced cardiomyopathy: From molecular mechanisms to therapeutic strategies</td>
<td align="left">Journal Of Molecular and Cellular Cardiology</td>
<td align="left">847</td>
<td align="left">2012</td>
<td align="left">Yanti Octavia</td>
</tr>
<tr>
<td align="center">12</td>
<td align="left">Early Detection of Anthracycline Cardiotoxicity and Improvement with Heart Failure Therapy</td>
<td align="left">Circulation</td>
<td align="left">760</td>
<td align="left">2015</td>
<td align="left">Daniela Cardinale</td>
</tr>
<tr>
<td align="center">13</td>
<td align="left">Anthracycline-Induced Cardiomyopathy Clinical Relevance and Response to Pharmacologic Therapy</td>
<td align="left">Journal of The American College of Cardiology</td>
<td align="left">692</td>
<td align="left">2010</td>
<td align="left">Daniela Cardinale</td>
</tr>
<tr>
<td align="center">14</td>
<td align="left">Doxorubicin Cardiomyopathy</td>
<td align="left">Cardiology</td>
<td align="left">658</td>
<td align="left">2010</td>
<td align="left">Kanu Chatterjee</td>
</tr>
<tr>
<td align="center">15</td>
<td align="left">Pertuzumab plus trastuzumab in combination with standard neoadjuvant anthracycline-containing and anthracycline-free chemotherapy regimens in patients with HER2-positive early breast cancer: a randomized phase II cardiac safety study (TRYPHAENA)</td>
<td align="left">Annals of Oncology</td>
<td align="left">630</td>
<td align="left">2013</td>
<td align="left">A Schneeweiss</td>
</tr>
<tr>
<td align="center">16</td>
<td align="left">Prognostic value of troponin I in cardiac risk stratification of cancer patients undergoing high-dose chemotherapy</td>
<td align="left">Circulation</td>
<td align="left">580</td>
<td align="left">2004</td>
<td align="left">Daniela Cardinale</td>
</tr>
<tr>
<td align="center">17</td>
<td align="left">Prevention and Monitoring of Cardiac Dysfunction in Survivors of Adult Cancers: American Society of Clinical Oncology Clinical Practice Guideline</td>
<td align="left">Journal of Clinical Oncology</td>
<td align="left">551</td>
<td align="left">2017</td>
<td align="left">Saro H Armenian</td>
</tr>
<tr>
<td align="center">18</td>
<td align="left">Ferroptosis as a target for protection against cardiomyopathy</td>
<td align="left">Proceedings of The National Academy of Sciences of The United States</td>
<td align="left">549</td>
<td align="left">2019</td>
<td align="left">Xuexian Fang</td>
</tr>
<tr>
<td align="center">19</td>
<td align="left">Cellular Senescence Promotes Adverse Effects of Chemotherapy and Cancer Relapse</td>
<td align="left">Cancer Discovery</td>
<td align="left">541</td>
<td align="left">2017</td>
<td align="left">Marco Demaria</td>
</tr>
<tr>
<td align="center">20</td>
<td align="left">Assessment of Echocardiography and Biomarkers for the Extended Prediction of Cardiotoxicity in Patients Treated with Anthracyclines, Taxanes, and Trastuzumab</td>
<td align="left">Circulation-Cardiovascular Imaging</td>
<td align="left">495</td>
<td align="left">2012</td>
<td align="left">Heloisa Sawaya</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>The main observations of the clinical trials.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Study, year</th>
<th align="left">Main findings</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Slamon, 2001</td>
<td align="left">The cardiotoxicity associated with doxorubicin is potentially severe and, in some cases, life-threatening; however, the symptoms generally improve with standard medical management</td>
</tr>
<tr>
<td align="left">Slamon, 2011</td>
<td align="left">The addition of 1&#xa0;year of adjuvant trastuzumab significantly improved disease-free and overall survival among women with HER2-positive breast cancer. The risk&#x2013;benefit ratio favored the nonanthracycline docetaxel, carboplatin, and trastuzumab (TCH) regimen over doxorubicin, cyclophosphamide, followed by docetaxel (AC-T) plus trastuzumab, given its similar efficacy, fewer acute toxic effects, and lower risks of cardiotoxicity and leukemia</td>
</tr>
<tr>
<td align="left">Swain, 2003</td>
<td align="left">Congestive heart failure (CHF) related to doxorubicin occurs more frequently and at a lower cumulative dose than previously reported. This suggests that the left ventricular ejection fraction (LVEF) may not be a reliable predictor of CHF in patients treated with doxorubicin</td>
</tr>
<tr>
<td align="left">Brien, 2004</td>
<td align="left">In first-line therapy for metastatic breast cancer (MBC), pegylated liposomal doxorubicin HCl (PLD) provides efficacy comparable to that of doxorubicin, with significantly reduced cardiotoxicity, myelosuppression, vomiting, and alopecia</td>
</tr>
<tr>
<td align="left">Cardinale, 2015</td>
<td align="left">Most cardiotoxicity following anthracycline-containing therapy manifests within the first year and correlates with both the anthracycline dose and the LVEF at the end of treatment. Emphasizing early detection and prompt intervention for cardiotoxicity is vital for achieving significant recovery of cardiac function</td>
</tr>
<tr>
<td align="left">Cardinale, 2009</td>
<td align="left">In cancer patients who develop anthracycline-induced cardiomyopathy (AC-CMP), early detection of cardiac dysfunction combined with the prompt initiation of modern heart failure (HF) treatment can lead to LVEF recovery and a reduction in cardiac events</td>
</tr>
<tr>
<td align="left">Schneeweiss, 2013</td>
<td align="left">The combination of trastuzumab (H) with pertuzumab (P) and standard chemotherapy resulted in low rates of symptomatic left ventricular systolic dysfunction (LVSD)</td>
</tr>
<tr>
<td align="left">Cardinale, 2004</td>
<td align="left">The release pattern of troponin I (TnI) following high-dose chemotherapy stratifies patients according to their risk of cardiac events over the subsequent 3&#xa0;years. This stratification facilitates the customization of monitoring programs and enables the planning of preventive strategies in selected patients to improve clinical outcomes</td>
</tr>
<tr>
<td align="left">Sawaya, 2012</td>
<td align="left">In patients with breast cancer treated with anthracyclines, and trastuzumab, two measures are particularly useful for predicting subsequent cardiotoxicity: systolic longitudinal myocardial strain and ultrasensitive troponin I. When assessed at the completion of anthracycline therapy, these indicators can help guide treatment to minimize cardiac side effects</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>The visualization of co-citation reference.</p>
</caption>
<graphic xlink:href="fphar-14-1255158-g005.tif"/>
</fig>
</sec>
<sec id="s3-6">
<title>3.6 Keyword analysis</title>
<p>
<xref ref-type="fig" rid="F6">Figure 6</xref> displays the network visualization map of keywords, with four clusters (red, green, blue, and purple) depicted in distinct directions. The keywords in red cluster are oxidative stress, apoptosis, cardiomyopathy, and expression. The keywords in green cluster are cardiotoxicity, heart failure, and anthracycline. The keywords in blue cluster are chemotherapy, trastuzumab, and paclitaxel. The keywords in purple cluster are doxorubicin, adriamycin, and cancer. We conducted the burst detection analysis for twenty prominent words from 2010, and displayed in <xref ref-type="fig" rid="F7">Figure 7</xref>. The keywords that begin to burst from 2018 are particularly emphasized, including &#x201c;inflammation&#x201d; (burst strength 25.92), &#x201c;Doxorubicin-Induced Cardiotoxicity&#x201d; (burst strength 12.55), &#x201c;autophagy&#x201d; (burst strength 8.25), suppression (burst strength 7.9), cardiac dysfunction (burst strength 7.46), and nrf2 (burst strength 7.19), which is shown in <xref ref-type="fig" rid="F7">Figure 7</xref>.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>The visualization of keyword co-occurrence analysis. The size of nodes indicates the frequency of occurrences of the keywords, and the lines between the nodes represent their co-occurrence in the same publication. The shorter the distance between two nodes, the larger the number of the co-occurrence of the two keywords.</p>
</caption>
<graphic xlink:href="fphar-14-1255158-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>The burst detection analysis for twenty prominent words from 2010.</p>
</caption>
<graphic xlink:href="fphar-14-1255158-g007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<sec id="s4-1">
<title>4.1 General information</title>
<p>A total of 7,021 publications are included, and 37,152 authors contribute to this field, which are distributed from 6,659 organizations, 1,323 journals, and 101 countries/regions. The most productive author, institution, country and journal were Bonnie Ky with 35 publications, University of Texas with 190 documents, the United States with 1,912 publications, and <italic>PLOS ONE</italic> with 120 documents. The first high-cited article was published in the NEJM with 8,134 citations authored by <xref ref-type="bibr" rid="B40">Slamon et al., 2001</xref>. For keyword analysis, the clusters of red, green, blue and purple, indicate 4 directions. The keywords in red cluster are oxidative stress, apoptosis, cardiomyopathy. The keywords in green cluster are cardiotoxicity, heart failure, and anthracycline. The keywords in blue cluster are chemotherapy, trastuzumab, and paclitaxel. The keywords in purple cluster are doxorubicin, adriamycin, and cancer. Most of the documents were derived from the United States, China and Italy (4,080/7,021, 58.1%). Of the top 10 institutions, five were from the United States. Of the top 10 productive authors, four were from the United States and three were from Italy. Among cooperative relationships of countries/regions institutions and authors, the United States, China and Italy are also prominent. The number of studies from other countries should be increased.</p>
</sec>
<sec id="s4-2">
<title>4.2 Hotspots and frontiers</title>
<p>Based on the most highly cited publications and significant keywords, the current frontiers and hotspots in this field can be summarized as follows: 1) The role of doxorubicin in cardiotoxicity. Among the 20 highest-cited references, ten articles explored the role of doxorubicin in cardiotoxicity, (<xref ref-type="bibr" rid="B41">Swain et al., 2003</xref>; <xref ref-type="bibr" rid="B5">Cardinale et al., 2010</xref>; <xref ref-type="bibr" rid="B7">Chatterjee et al., 2010</xref>; <xref ref-type="bibr" rid="B31">Octavia et al., 2012</xref>; <xref ref-type="bibr" rid="B42">Tacar et al., 2013</xref>; <xref ref-type="bibr" rid="B4">Cardinale et al., 2015</xref>; <xref ref-type="bibr" rid="B51">Zamorano et al., 2016</xref>; <xref ref-type="bibr" rid="B2">Armenian et al., 2017</xref>), and the important keywords of cardiotoxicity, heart failure, and anthracycline were in green cluster, chemotherapy and trastuzumab were in blue cluster, and doxorubicin, adriamycin, and cancer were in purple cluster. The doxorubicin-induced cardiotoxicity is the common adverse effect of cancer treated with doxorubicin, which is usually composed of myocarditis and heart failure/cardiomyopathy, hypertension and vascular toxicity, and QTc prolongation and arrhythmias. 2) The mechanisms of doxorubicin-induced cardiotoxicity. Among the 20 highest-cited references, six articles explored the mechanisms of doxorubicin-induced acute cardiotoxicity (<xref ref-type="bibr" rid="B7">Chatterjee et al., 2010</xref>; <xref ref-type="bibr" rid="B31">Octavia et al., 2012</xref>; <xref ref-type="bibr" rid="B37">Sawaya et al., 2012</xref>; <xref ref-type="bibr" rid="B52">Zhang et al., 2012</xref>; <xref ref-type="bibr" rid="B42">Tacar et al., 2013</xref>; <xref ref-type="bibr" rid="B4">Cardinale et al., 2015</xref>), and the important keywords of oxidative stress, apoptosis, and expression were in red cluster. Oxidative stress and apoptosis play pivotal roles in cardiotoxicity, and several signaling pathways are implicated in mediating these processes (<xref ref-type="bibr" rid="B32">Paradies et al., 2018</xref>; <xref ref-type="bibr" rid="B16">Ikeda et al., 2019</xref>; <xref ref-type="bibr" rid="B43">Tian et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Timm and Tyler, 2020</xref>; <xref ref-type="bibr" rid="B46">Wallace et al., 2020</xref>; <xref ref-type="bibr" rid="B1">Ahsan et al., 2021</xref>; <xref ref-type="bibr" rid="B3">Borisov et al., 2021</xref>; <xref ref-type="bibr" rid="B22">Li et al., 2021</xref>; <xref ref-type="bibr" rid="B28">Mishra et al., 2021</xref>; <xref ref-type="bibr" rid="B35">Rawat et al., 2021</xref>; <xref ref-type="bibr" rid="B50">Yang et al., 2021</xref>; <xref ref-type="bibr" rid="B9">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="B15">Herrmann et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Ikeda et al., 2022</xref>; <xref ref-type="bibr" rid="B20">Kong et al., 2022</xref>; <xref ref-type="bibr" rid="B36">Sangweni et al., 2022</xref>; <xref ref-type="bibr" rid="B47">Wu et al., 2022</xref>). Understanding these pathways can provide insights into potential therapeutic targets. Here are the major signaling pathways involved in cardiotoxicity under oxidative stress and apoptosis, include:</p>
<sec id="s4-2-1">
<title>4.2.1 Mitochondrial pathway</title>
<p>Oxidative stress can compromise mitochondrial function, heightening the permeability of its membrane. Consequently, pro-apoptotic proteins, notably cytochrome c, are released into the cytosol. This interaction with Apaf-1 and procaspase-9 spawns the apoptosome, activating caspase-9. Subsequent activation of effector caspases, like caspase-3, instigates apoptosis.</p>
</sec>
<sec id="s4-2-2">
<title>4.2.2 Death receptor (Extrinsic) pathway</title>
<p>The binding of ligands (e.g., FAS and TNF-alpha) to their respective cell surface receptors (FAS, TNF receptor) can set in motion the extrinsic apoptosis pathway. This results in caspase-8 activation, which either directly activates effector caspases or cleaves the Bcl-2 family member Bid, tying back to the intrinsic mitochondrial pathway.</p>
</sec>
<sec id="s4-2-3">
<title>4.2.3 MAPK pathways</title>
<p>Comprising the ERK, JNK, and p38 MAPK pathways. While ERK typically fosters cell survival, sustained activation under oxidative stress might induce apoptosis. Both JNK and p38 MAPK, triggered by stress, are associated with oxidative stress-induced apoptotic mechanisms in cardiomyocytes.</p>
</sec>
<sec id="s4-2-4">
<title>4.2.4 PI3K/Akt pathway</title>
<p>Fundamentally, the PI3K/Akt pathway enhances cell survival. Akt, upon activation, targets and inhibits numerous pro-apoptotic proteins. However, oxidative stress can disrupt this cardioprotective pathway.</p>
</sec>
<sec id="s4-2-5">
<title>4.2.5 NF-&#x3ba;B pathway</title>
<p>NF-&#x3ba;B wields dual functionality, promoting cell survival and apoptosis. Though it can stimulate anti-apoptotic protein synthesis, extended activation, especially under oxidative duress, can precipitate apoptosis.</p>
</sec>
<sec id="s4-2-6">
<title>4.2.6 Bcl-2 family proteins</title>
<p>Central to apoptosis regulation, this protein family encompasses both pro-apoptotic (e.g., Bax, Bak, Bad) and anti-apoptotic (e.g., Bcl-2, Bcl-xL) constituents. A pro-apoptotic skew can induce mitochondrial dysfunction and, consequently, apoptosis.</p>
</sec>
<sec id="s4-2-7">
<title>4.2.7 Nrf2/ARE pathway</title>
<p>The Nrf2 and ARE pathway is vital for cellular defense against oxidative onslaughts. In oxidative scenarios, Nrf2 translocates nucleus-bound, pairing with ARE to stimulate antioxidant gene synthesis. Its dysregulation can accentuate cardiotoxicity.</p>
</sec>
<sec id="s4-2-8">
<title>4.2.8 ER stress pathway</title>
<p>Sustained oxidative stress can hamper ER efficacy, culminating in ER stress. This elicits the unfolded protein response (UPR), which may lead to apoptosis if the stress remains unchecked. These pathways frequently interconnect, with the cellular outcome (survival or apoptosis) hinging on the equilibrium between pro-survival and pro-apoptotic signals. As oxidative stress and apoptosis are pivotal in cardiac injury, these pathways represent promising therapeutic targets. The main mechanisms of Doxorubicin-induced cardiotoxicity were displayed in <xref ref-type="fig" rid="F8">Figure 8</xref>. 3) The treatment of doxorubicin-induced cardiotoxicity. Among the 20 highest-cited references, ten articles explored the treatment of doxorubicin-induced cardiotoxicity (<xref ref-type="bibr" rid="B2">Armenian et al., 2017</xref>; <xref ref-type="bibr" rid="B4">Cardinale et al., 2015</xref>; <xref ref-type="bibr" rid="B5">Cardinale et al., 2010</xref>; <xref ref-type="bibr" rid="B7">Chatterjee et al., 2010</xref>; <xref ref-type="bibr" rid="B27">Minotti et al., 2004</xref>; <xref ref-type="bibr" rid="B30">O&#x27;Brien et al., 2004</xref>; <xref ref-type="bibr" rid="B38">Schneeweiss et al., 2013</xref>; <xref ref-type="bibr" rid="B39">Slamon et al., 2011</xref>; <xref ref-type="bibr" rid="B40">Slamon et al., 2001</xref>; <xref ref-type="bibr" rid="B51">Zamorano et al., 2016</xref>), and Dexrazoxane is the first protective agent which is approved for the clinical use of doxorubicin-induced cardiomyopathy by FDA. Dexrazoxane can protect the heart from doxorubicin-induced cardiotoxicity by preventing Top2&#xdf; from binding with doxorubicin. More strategies should be developed to treat doxorubicin-induced cardiotoxicity.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Main mechanisms of Doxorubicin-induced cardiotoxicity.</p>
</caption>
<graphic xlink:href="fphar-14-1255158-g008.tif"/>
</fig>
<p>It is important to acknowledge certain limitations in this study. Firstly, the data used solely originates from the WOSCC database, excluding other databases such as PubMed, Cochrane Library, and Google Scholar. Secondly, the study exclusively included literature in the English language, potentially introducing bias. Lastly, there may exist inconsistencies in the data, such as variations in institution names over different time periods. These limitations should be taken into consideration when interpreting the findings.</p>
</sec>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>In conclusion, the main research hotspots and frontiers in the field of doxorubicin-induced cardiotoxicity include the role of doxorubicin in cardiotoxicity, the mechanisms underlying doxorubicin-induced cardiotoxicity, and the development of treatment strategies for doxorubicin-induced cardiotoxicity. More studies are needed to explore the mechanisms and treatment of doxorubicin-induced cardiotoxicity.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary materials, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>XL: Conceptualization, Data curation, Investigation, Methodology, Software, Writing&#x2013;original draft. GW: Formal Analysis, Project administration, Validation, Writing&#x2013;review and editing. SW: Writing&#x2013;original draft, Writing&#x2013;review and editing. JH: Supervision, Writing&#x2013;original draft.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article. This research was supported by the fellowship of the China Postdoctoral Science Foundation (Grant No. 2021M692802) and the Key research and development program of Zhejiang province (2020C03018).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<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&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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