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    <TitleGroup>
      <Title language="en">From Research to Practice: Implementing cBioPortal in Molecular Tumor Boards</Title>
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        <PersonNames>
          <Lastname>Strantz</Lastname>
          <LastnameHeading>Strantz</LastnameHeading>
          <Firstname>Cosima</Firstname>
          <Initials>C</Initials>
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          <Affiliation>Friedrich-Alexander-Universit&#228;t Erlangen-N&#252;rnberg, Erlangen, Germany</Affiliation>
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          <Lastname>Woltereck</Lastname>
          <LastnameHeading>Woltereck</LastnameHeading>
          <Firstname>Madalina</Firstname>
          <Initials>M</Initials>
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        <Address>
          <Affiliation>Friedrich-Alexander-Unviersit&#228;t Erlangen-N&#252;rnberg, Erlangen, Germany</Affiliation>
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          <Lastname>Ganslandt</Lastname>
          <LastnameHeading>Ganslandt</LastnameHeading>
          <Firstname>Thomas</Firstname>
          <Initials>T</Initials>
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        <Address>
          <Affiliation>Friedrich-Alexander-Unviersit&#228;t Erlangen-N&#252;rnberg, Erlangen, Germany</Affiliation>
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        <PersonNames>
          <Lastname>Unberath</Lastname>
          <LastnameHeading>Unberath</LastnameHeading>
          <Firstname>Philipp</Firstname>
          <Initials>P</Initials>
        </PersonNames>
        <Address>
          <Affiliation>Friedrich-Alexander-Universit&#228;t Erlangen-N&#252;rnberg, Erlangen, Germany</Affiliation>
          <Affiliation>SRH University of Applied Sciences, F&#252;rth, Germany</Affiliation>
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          <Corporatename>German Medical Science GMS Publishing House</Corporatename>
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        <Address>D&#252;sseldorf</Address>
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    <SubjectGroup>
      <SubjectheadingDDB>610</SubjectheadingDDB>
      <Keyword language="en">precision oncology</Keyword>
      <Keyword language="en">molecular tumor boards</Keyword>
      <Keyword language="en">cBioPortal</Keyword>
      <Keyword language="en">process evaluation</Keyword>
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      <DatePublished>20251103</DatePublished>
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    <Language>engl</Language>
    <License license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
      <AltText language="en">This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License.</AltText>
      <AltText language="de">Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung).</AltText>
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      <Meeting>
        <MeetingId>M0631</MeetingId>
        <MeetingSequence>056</MeetingSequence>
        <MeetingCorporation>Deutsche Gesellschaft f&#252;r Medizinische Informatik, Biometrie und Epidemiologie</MeetingCorporation>
        <MeetingName>70. Jahrestagung der Deutschen Gesellschaft f&#252;r Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)</MeetingName>
        <MeetingTitle></MeetingTitle>
        <MeetingSession>V: Knowledge and process management</MeetingSession>
        <MeetingCity>Jena</MeetingCity>
        <MeetingDate>
          <DateFrom>20250907</DateFrom>
          <DateTo>20250911</DateTo>
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    <ArticleNo>Abstr. 149</ArticleNo>
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      <MainHeadline>Text</MainHeadline><Pgraph><Mark1>Introduction:</Mark1> Precision oncology has increasingly shifted toward individualized treatment strategies, driven by vast molecular datasets from next-generation sequencing (NGS) and other high-throughput technologies. Molecular Tumor Boards (MTBs), as interdisciplinary panels, are key in translating this data into therapeutic recommendations, especially for rare or treatment-resistant cancers <TextLink reference="1"></TextLink>. Yet, manually handling and integrating diverse and growing data sources often strain workflows and limit patient throughput. To address this, the German PM4Onco project aims to standardize and digitally support decision-making in MTBs <TextLink reference="2"></TextLink>. A central component is the implementation of cBioPortal, an open-source platform designed to visualize and interpret molecular and clinical data. Originally developed for research, cBioPortal has been extended in German clinical contexts to provide MTB-specific functionalities, including trial matching and therapy documentation <TextLink reference="3"></TextLink>. Despite its potential, a clinical decision tool aid to support patient care is ultimately useless unless it is put into practice <TextLink reference="4"></TextLink>. This study analyzes existing implementations in German university hospitals to derive best-practice recommendations and support a more structured, scalable integration.</Pgraph><Pgraph><Mark1>Methods:</Mark1> A qualitative process evaluation was conducted through semi-structured interviews with 21 participants from 11 university hospitals involved in the PM4Onco project. Participants included oncologists, bioinformaticians, IT specialists, and MTB coordinators. Prior to each interview, two questions were used to assess site-speci&#64257;c implementation success and choose the appropriate interview guide. Data were transcribed verbatim, anonymized, and analyzed using Mayring&#8217;s qualitative content analysis <TextLink reference="5"></TextLink>. This process yielded four thematic domains &#8211; (1) current use, (2) benefits and prospects, (3) challenges and limitations, and (4) implementation process &#8211; derived deductively from the predefined interview guide. Subcategories were then developed inductively to capture emerging themes within each domain.</Pgraph><Pgraph><Mark1>Results:</Mark1> The evaluation showed varying (1) cBioPortal implementation: only one hospital had fully integrated the tool into routine MTB processes. Six institutions used it mainly for case preparation, while others reported limited or no usage. Key advantages (2) comprised easier data access and visual clarity, supporting preparation and collaboration.  Main barriers (3) included the lack of automated data integration, limited system interoperability with existing hospital information systems, and insu&#64259;cient IT support. Unclear responsibilities, weak coordination, and poor documentation were compounded by legal demands like parallel reporting and strict data protection. Most sites lacked structured implementation strategies (4), rollout often exceeded a year and remained user-driven rather than strategically managed.</Pgraph><Pgraph><Mark1>Conclusion:</Mark1> This study revealed heterogeneous cBioPortal implementation across German university hospitals, shaped by di&#64256;erences in infrastructure, stakeholder engagement, and resource allocation. Successful sites emphasized early stakeholder involvement, structured testing, and iterative planning with IT support. A stepwise rollout and tailored training were essential for sustainable use. Communication gaps among developers and users highlighted the need for structured feedback and shared learning formats. Based on these &#64257;ndings, a &#64258;exible best-practice framework was developed to support site-speci&#64257;c adaptation while promoting standardized implementation, underscoring the importance of accompanying implementation science. Future options to address manual workload issues could include AI-based decision support. This work guides implementation and underpins evaluation strategies in precision oncology. It forms the basis for a context-sensitive decision guide for MTB software.</Pgraph><Pgraph>The authors declare that they have no competing interests.</Pgraph><Pgraph>The authors declare that a positive ethics committee vote has been obtained.</Pgraph></TextBlock>
    <References linked="yes">
      <Reference refNo="1">
        <RefAuthor>Tamborero D</RefAuthor>
        <RefAuthor>Dienstmann R</RefAuthor>
        <RefAuthor>Rachid MH</RefAuthor>
        <RefAuthor>Boekel J</RefAuthor>
        <RefAuthor>Lopez-Fernandez A</RefAuthor>
        <RefAuthor>Jonsson M</RefAuthor>
        <RefAuthor></RefAuthor>
        <RefTitle>The Molecular Tumor Board Portal supports clinical decisions and automated reporting for precision oncology</RefTitle>
        <RefYear>2022</RefYear>
        <RefJournal>Nat Cancer</RefJournal>
        <RefPage>251&#8211;61</RefPage>
        <RefTotal>Tamborero D, Dienstmann R, Rachid MH, Boekel J, Lopez-Fernandez A, Jonsson M, et al. The Molecular Tumor Board Portal supports clinical decisions and automated reporting for precision oncology. Nat Cancer. 2022 Feb;3(2):251&#8211;61. DOI: 10.1038&#47;s43018-022-00332-x</RefTotal>
        <RefLink>http:&#47;&#47;dx.doi.org&#47;10.1038&#47;s43018-022-00332-x</RefLink>
      </Reference>
      <Reference refNo="2">
        <RefAuthor>Pflugradt L</RefAuthor>
        <RefAuthor>Metzger P</RefAuthor>
        <RefAuthor>Gr&#228;&#223;el L</RefAuthor>
        <RefAuthor>Strantz C</RefAuthor>
        <RefAuthor>Blaumeiser A</RefAuthor>
        <RefAuthor>Busch H</RefAuthor>
        <RefAuthor></RefAuthor>
        <RefTitle>PM4Onco: personalisierte Medizin f&#252;r die Onkologie: Effektive Datennutzung f&#252;r molekulare Tumorboards</RefTitle>
        <RefYear>2024</RefYear>
        <RefJournal>Onkologie</RefJournal>
        <RefPage>898&#8211;904</RefPage>
        <RefTotal>Pflugradt L, Metzger P, Gr&#228;&#223;el L, Strantz C, Blaumeiser A, Busch H, et al. PM4Onco: personalisierte Medizin f&#252;r die Onkologie: Effektive Datennutzung f&#252;r molekulare Tumorboards. Onkologie. 2024 Oct;30(10):898&#8211;904. DOI: 10.1007&#47;s00761-024-01593-0</RefTotal>
        <RefLink>http:&#47;&#47;dx.doi.org&#47;10.1007&#47;s00761-024-01593-0</RefLink>
      </Reference>
      <Reference refNo="3">
        <RefAuthor>Strantz C</RefAuthor>
        <RefAuthor>B&#246;hm D</RefAuthor>
        <RefAuthor>Ganslandt T</RefAuthor>
        <RefAuthor>B&#246;rries M</RefAuthor>
        <RefAuthor>Metzger P</RefAuthor>
        <RefAuthor>Pauli T</RefAuthor>
        <RefAuthor></RefAuthor>
        <RefTitle>Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards</RefTitle>
        <RefYear>2025</RefYear>
        <RefJournal>BMC Med Inform Decis Mak</RefJournal>
        <RefPage>29</RefPage>
        <RefTotal>Strantz C, B&#246;hm D, Ganslandt T, B&#246;rries M, Metzger P, Pauli T, et al. Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards. BMC Med Inform Decis Mak. 2025 Jan 16;25(1):29. DOI: 10.1186&#47;s12911-024-02821-8</RefTotal>
        <RefLink>http:&#47;&#47;dx.doi.org&#47;10.1186&#47;s12911-024-02821-8</RefLink>
      </Reference>
      <Reference refNo="4">
        <RefAuthor>Markowetz F</RefAuthor>
        <RefTitle>All models are wrong and yours are useless: making clinical prediction models impactful for patients</RefTitle>
        <RefYear>2024</RefYear>
        <RefJournal>npj Precis Onc</RefJournal>
        <RefPage>54</RefPage>
        <RefTotal>Markowetz F. All models are wrong and yours are useless: making clinical prediction models impactful for patients. npj Precis Onc. 2024 Feb 28;8(1):54. DOI: 10.1038&#47;s41698-024-00553-6</RefTotal>
        <RefLink>http:&#47;&#47;dx.doi.org&#47;10.1038&#47;s41698-024-00553-6</RefLink>
      </Reference>
      <Reference refNo="5">
        <RefAuthor>R&#228;diker S</RefAuthor>
        <RefAuthor>Kuckartz U</RefAuthor>
        <RefTitle></RefTitle>
        <RefYear>2019</RefYear>
        <RefBookTitle>Analyse qualitativer Daten mit MAXQDA: Text, Audio und Video</RefBookTitle>
        <RefPage></RefPage>
        <RefTotal>R&#228;diker S, Kuckartz U. Analyse qualitativer Daten mit MAXQDA: Text, Audio und Video. Wiesbaden: Springer Fachmedien Wiesbaden; 2019. DOI: 10.1007&#47;978-3-658-22095-2</RefTotal>
        <RefLink>https:&#47;&#47;doi.org&#47;10.1007&#47;978-3-658-22095-2</RefLink>
      </Reference>
    </References>
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