Gut Microbiota and Cancer

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</div> </div> </header> <div id="main-content" class=""> <div class="row full-width "> <div id="left-column" class="content__column large-3 medium-3 small-12 columns"> <div class="content__container"> <div class="left-column__fixed"> <a class="button button--color button--color-inversed button--full-width" href="#" data-reveal-id="topic-submit-manuscript-modal"> Submit your Manuscript </a> <a class="button button--color button--full-width" href="/topics/proposal"> Propose a Topic </a> </div> <div class="generic-item condensed-small"> <h2 class="show-for-medium-up">Topic Menu</h2> <a href="#" class="bolded-text link-journal-menu show-for-small"> <span class="closed">►</span> <span class="open" style="display: none;">▼</span> Topic Menu </a> <ul class="accordion__dummy accordion__menu hide-small-down-initially" style="margin-top: 10px;"> <li class="accordion-navigation"> <ul> <li class="side-menu-li"> <a href="#information">Topic Information</a> </li> <li class="side-menu-li"> <a href="#keywords">Keywords</a> </li> <li class="side-menu-li"> <a href="#journals">Participating Journals</a> </li> </ul> </li> </ul> </div> </div> <div class="content__container"> <h2>Topic Editors</h2> <div class="generic-item no-margin"> <div class="generic-item editor-div-left" data-filter="dong tang tumor microenvironment; colon cancer; bioinformatics; immunity therapy"> <div class="editor-div-left__img-container"> <img src="/data/editors/editor_250315.png?1659949654" class="editors-left__img"/> </div> <div class="editor-div-left__content"> <div> <div class="sciprofiles-link" style="display: inline-block"><a class="sciprofiles-link__link" href="https://sciprofiles.com/profile/695020?utm_source=mdpi.com&utm_medium=website&utm_campaign=avatar_name" target="_blank" rel="noopener noreferrer"><span class="sciprofiles-link__name"> Dr. Dong Tang </span></a></div> </div> <div> <a class="inline-spacer toEncode emailCaptcha" href="" data-editor-id="250315">E-Mail</a> <a class="inline-spacer" href="https://www.yzsbh.com/Html/Doctors/Main/Index_1116.html" target="_blank" rel="noopener noreferrer">Website</a> </div> <div> Department of General Surgery, Northern Jiangsu People's Hospital, Yangzhou University, Yangzhou, China </div> </div> </div> </div> <div class="generic-item "> <div class="generic-item editor-div-left" data-filter="takeo fukagawa gastric cancer; adjuvant chemoradiotherapy; gastrectomy"> <div class="editor-div-left__img-container"> <img src="/bundles/mdpisciprofileslink/img/unknown-user.png" class="editors-left__img"/> </div> <div class="editor-div-left__content"> <div> <strong> Prof. Dr. Takeo Fukagawa </strong> </div> <div> <a class="inline-spacer toEncode emailCaptcha" href="" data-editor-id="275045">E-Mail</a> <a class="inline-spacer" href="https://biography.omicsonline.org/china/12th-international-gastric-cancer-congress/takeo-fukagawa-md-phd-489205" target="_blank" rel="noopener noreferrer">Website</a> </div> <div> Department of Surgery, Teikyo University School of Medicine, Tokyo 173-8605, Japan </div> </div> </div> </div> </div> </div> <div id="middle-column" class="content__column large-9 medium-9 small-12 columns end middle-bordered"> <div class="middle-column__help"> <div class="middle-column__help__fixed show-for-medium-up"> <a href="#" class="UA_ShareButton" data-reveal-id="main-share-modal" title="Share"> <i class="material-icons">share</i> </a> <a href="#" data-reveal-id="main-help-modal" title="Help"> <i class="material-icons">announcement</i> </a> </div> <div id="main-help-modal" class="reveal-modal reveal-modal-new" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 columns"> <h2 style="margin: 0;">Need Help?</h2> </div> <div class="small-6 columns"> <h3>Support</h3> <p> Find support for a specific problem in the support section of our website. </p> <a target="_blank" href="/about/contactform" class="button button--color button--full-width"> Get Support </a> </div> <div class="small-6 columns"> <h3>Feedback</h3> <p> Please let us know what you think of our products and services. </p> <a target="_blank" href="/feedback/send" class="button button--color button--full-width"> Give Feedback </a> </div> <div class="small-6 columns end"> <h3>Information</h3> <p> Visit our dedicated information section to learn more about MDPI. </p> <a target="_blank" href="/authors" class="button button--color button--full-width"> Get Information </a> </div> </div> <a class="close-reveal-modal" aria-label="Close"> <i class="material-icons">clear</i> </a> </div> </div> <div class="middle-column__main "> <div class="content__container content__container--overflow-initial"> <h1>Gut Microbiota and Cancer</h1> <div class="row"> <div class="small-12 medium-12 large-6 columns"> <div style="margin-bottom: 10px;"> <div class="submission-deadline"> <div class="submission-deadline__label"> Abstract submission deadline </div> <div class="submission-deadline__date"> closed (24 September 2024) </div> </div> <div class="submission-deadline"> <div class="submission-deadline__label"> Manuscript submission deadline </div> <div class="submission-deadline__date"> 25 November 2024 </div> </div> <div class="submission-deadline"> <div class="submission-deadline__label"> Viewed by </div> <div class="submission-deadline__date"> 23833 </div> </div> </div> </div> <div class="small-12 medium-12 large-6 columns"> </div> </div> <h2 id="information">Topic Information</h2> <p>Dear Colleagues,</p> <p>With the continuous iteration of deep sequencing, the profound link between the gut microbiota and cancer has been gradually unveiled. In past studies, the gut microbiota has been suggested to influence the occurrence, progression, proliferation, metastasis, and drug resistance of many different types of cancer, partly because the gut microbiota and its metabolites interact with the host at multiple body sites and are closely linked to the body’s immune system, thereby influencing a variety of physiopathological processes. The gut microbiota can also help with diagnosis and prognosis as well as suggest therapeutic strategies, including cancer immunotherapy. Additionally, the intratumoral microbiota has become one of the hotspots of research today. However, the specific mechanisms by which the gut microbiota influences cancer development have not been elucidated. Currently, the relationship between microbiota-induced non-coding RNAs and cancer is also attracting more attention, offering a possible molecular mechanism by which the gut microbiota impacts cancer development. Therefore, this issue aims to explore the molecular mechanism of intestinal microbiome influencing cancer progression based on different perspectives and aims to contribute to new strategies for cancer treatment. This open access Topic will bring together original research and review articles on the gut microbiome and cancer. Potential submission topics include but are not limited to:</p> <ul> <li>Gut microbiota and its metabolites;</li> <li>Gut-microbiota-induced non-coding RNAs;</li> <li>Intratumoral microbiota;</li> <li>Tumor microenvironment;</li> <li>Molecular mechanisms;</li> <li>Therapeutic strategies;</li> <li>Cancer immunotherapy;</li> <li>Drug design;</li> <li>Drug resistance;</li> <li>Pharmacokinetics;</li> <li>Tumor epidemiology.</li> </ul> <p>Dr. Dong Tang<br />Prof. Dr. Takeo Fukagawa<br /><em>Topic Editors</em></p> <h2 id="keywords">Keywords</h2> <div><ul> <li>gut microbiota</li> <li>metabolites of gut microbiota</li> <li>non-coding RNAS</li> <li>tumor microenvironment</li> <li>molecular mechanism</li> <li>cancer immunotherapy</li> <li>translational cancer research</li> <li>cancer biomarker</li> <li>drug resistance</li> </ul></div> <h2 id="journals">Participating Journals</h2> <table class="journaltable new tablesorter top-border" border="0" cellpadding="3" cellspacing="0"> <thead> <tr> <th style="width: 250px;">Journal Name</th> <th>Impact Factor</th> <th>CiteScore</th> <th>Launched Year</th> <th>First Decision (median)</th> <th>APC</th> <th></th> </tr> </thead> <tbody> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/cancers"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/cancers-logo-sq.png?8600e93ff98dbf14" alt="" title="Cancers Open Access Journal" border="0" height="70"> <div> Cancers </div> </a> <span style="display: none;">cancers</span> </td> <td> <a href="/journal/cancers/stats"> 4.5 </a> </td> <td> <a href="/journal/cancers/stats"> 8.0 </a> </td> <td> 2009 </td> <td> 16.3 Days </td> <td> CHF 2900 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=23&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/curroncol"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/curroncol-logo-sq.png?8600e93ff98dbf14" alt="" title="Current Oncology Open Access Journal" border="0" height="70"> <div> Current Oncology </div> </a> <span style="display: none;">curroncol</span> </td> <td> <a href="/journal/curroncol/stats"> 2.8 </a> </td> <td> <a href="/journal/curroncol/stats"> 3.3 </a> </td> <td> 1994 </td> <td> 17.6 Days </td> <td> CHF 2200 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=476&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/diseases"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/diseases-logo-sq.png?8600e93ff98dbf14" alt="" title="Diseases Open Access Journal" border="0" height="70"> <div> Diseases </div> </a> <span style="display: none;">diseases</span> </td> <td> <a href="/journal/diseases/stats"> 2.9 </a> </td> <td> <a href="/journal/diseases/stats"> 0.8 </a> </td> <td> 2013 </td> <td> 18.9 Days </td> <td> CHF 1800 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=126&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/jcm"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/jcm-logo-sq.png?6922832c4f546280" alt="" title="JCM Open Access Journal" border="0" height="70"> <div> Journal of Clinical Medicine </div> </a> <span style="display: none;">jcm</span> </td> <td> <a href="/journal/jcm/stats"> 3.0 </a> </td> <td> <a href="/journal/jcm/stats"> 5.7 </a> </td> <td> 2012 </td> <td> 17.3 Days </td> <td> CHF 2600 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=93&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/vaccines"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/vaccines-logo-sq.png?8600e93ff98dbf14" alt="" title="Vaccines Open Access Journal" border="0" height="70"> <div> Vaccines </div> </a> <span style="display: none;">vaccines</span> </td> <td> <a href="/journal/vaccines/stats"> 5.2 </a> </td> <td> <a href="/journal/vaccines/stats"> 8.9 </a> </td> <td> 2013 </td> <td> 17.6 Days </td> <td> CHF 2700 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=76&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> </tbody> </table> <br/> <p> <img src="https://pub.mdpi-res.com/img/design/logo-full-preprints-v2.png?8fa7f93c184cb6ba?1732286508" style="height: 26px;"> </p> </p> <a href="https://www.preprints.org/?utm_source=mdpi_topics&utm_medium=link&utm_campaign=topics_slogan" target="_blank" rel="noopener 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Authors are encouraged to enjoy the benefits by posting a preprint at <em>Preprints.org</em> prior to publication: <ol> <li>Immediately share your ideas ahead of publication and establish your research priority;</li> <li>Protect your idea from being stolen with this time-stamped preprint article;</li> <li>Enhance the exposure and impact of your research;</li> <li>Receive feedback from your peers in advance;</li> <li>Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.</li> </ol> </p> <h2 id="papers">Published Papers (10 papers) </h2> <div> <div class="download_si" style="text-align: right;"> <a id="js-si-papers-download-access-captcha" href="#" data-target="/download/topics/8AV677I39Q/download" class="accessCaptcha">Download All Papers</a> <div style="display: inline;" class="download_si_separate"></div> </div> </div> <form id="exportArticles" method="post" style="margin: 0em 0px 1em 0px;" action="/export"> <input type="hidden" name="_token" value="eeFDb9tLLzxyTap_nxF6GalO5EMouXmIcX5591ZZois"> <div class="ui-tabs-panel article-listing" style="padding: 0px;border: 0;"> <script type="text/x-mathjax-config"> MathJax.Hub.Config({ "HTML-CSS": { availableFonts: ["TeX"], preferredFonts: "TeX", webFont:"TeX", imageFont:"TeX", undefinedFamily:"'Arial Unicode MS',serif", scale: 80, linebreaks: { automatic: true, width: "container" } }, "TeX": { extensions: ["noErrors.js"], noErrors: { inlineDelimiters: ["",""], multiLine: true, style: { "font-size": "90%", "text-align": "left", "color": "black", "padding": "1px 3px", "border": "1px solid" } } } }); 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return false;">Ok</a> </div> </div> <a class="close-reveal-modal" aria-label="Close"> <i class="material-icons">clear</i> </a> </div> </div> <div> <div style="clear: both"></div> </div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1519508" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 24 pages, 2009 KiB   </span> <a href="/2072-6694/16/22/3810/pdf?version=1731467510" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Harnessing Bacterial Agents to Modulate the Tumor Microenvironment and Enhance Cancer Immunotherapy" data-journal="cancers"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Review</span></div> <a class="title-link" href="/2072-6694/16/22/3810">Harnessing Bacterial Agents to Modulate the Tumor Microenvironment and Enhance Cancer Immunotherapy</a> <div class="authors"> by <span class="inlineblock "><strong>Christina James Thomas</strong>, </span><span class="inlineblock "><strong>Kaylee Delgado</strong>, </span><span class="inlineblock "><strong>Kamlesh Sawant</strong>, </span><span class="inlineblock "><strong>Jacob Roy</strong>, </span><span class="inlineblock "><strong>Udit Gupta</strong>, </span><span class="inlineblock "><strong>Carly Shaw Song</strong>, </span><span class="inlineblock "><strong>Rayansh Poojary</strong>, </span><span class="inlineblock "><strong>Paul de Figueiredo</strong> and </span><span class="inlineblock "><strong>Jianxun Song</strong></span> </div> <div class="color-grey-dark"> <em>Cancers</em> <b>2024</b>, <em>16</em>(22), 3810; <a href="https://doi.org/10.3390/cancers16223810">https://doi.org/10.3390/cancers16223810</a> - 13 Nov 2024 </div> Viewed by 628 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Cancer immunotherapy has revolutionized cancer treatment by leveraging the immune system to attack tumors. However, its effectiveness is often hindered by the immunosuppressive tumor microenvironment (TME), where a complex interplay of tumor, stromal, and immune cells undermines antitumor responses and allows tumors to <a href="#" data-counterslink = "https://www.mdpi.com/2072-6694/16/22/3810/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Cancer immunotherapy has revolutionized cancer treatment by leveraging the immune system to attack tumors. However, its effectiveness is often hindered by the immunosuppressive tumor microenvironment (TME), where a complex interplay of tumor, stromal, and immune cells undermines antitumor responses and allows tumors to evade immune detection. This review explores innovative strategies to modify the TME and enhance immunotherapy outcomes, focusing on the therapeutic potential of engineered bacteria. These bacteria exploit the unique characteristics of the TME, such as abnormal vasculature and immune suppression, to selectively accumulate in tumors. Genetically modified bacteria can deliver therapeutic agents, including immune checkpoint inhibitors and cytokines, directly to tumor sites. This review highlights how bacterial therapeutics can target critical immune cells within the TME, such as myeloid-derived suppressor cells and tumor-associated macrophages, thereby promoting antitumor immunity. The combination of bacterial therapies with immune checkpoint inhibitors or adoptive cell transfer presents a promising strategy to counteract immune suppression. Continued research in this area could position bacterial agents as a powerful new modality to reshape the TME and enhance the efficacy of cancer immunotherapy, particularly for tumors resistant to conventional treatments. <a href="/2072-6694/16/22/3810">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2072-6694/16/22/3810/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1519508"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1519508"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1519508" data-cycle-prev="#prev1519508" data-cycle-progressive="#images1519508" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1519508-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g001-550.jpg?1731467587" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1519508" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1519508-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g002-550.jpg?1731467588'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1519508-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g003-550.jpg?1731467589'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1519508-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g004-550.jpg?1731467590'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1519508-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g005-550.jpg?1731467591'><p>Figure 5</p></div></script></div></div><div id="article-1519508-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g001-550.jpg?1731467587" title=" <strong>Figure 1</strong><br/> <p>Advancements in bacterial-based therapies for cancer treatment.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/22/3810'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g002-550.jpg?1731467588" title=" <strong>Figure 2</strong><br/> <p>Components of the TME. The TME comprises a diverse collection of cancer cells, stromal cells, immune cells, the extracellular matrix (ECM), blood vessels, and various signaling molecules. Cancer-associated fibroblasts (CAFs), adipocytes, and the ECM provide structural support and promote tumor growth. Immune cells, such as tumor-associated macrophages (TAMs), dendritic cells, NK cells, CD8+ T cells, B cells, regulatory T cells (Tregs), and myeloid-derived suppressor cells (MDSCs), play complex roles, either supporting or inhibiting tumor progression. Blood vessels within the TME are often abnormal, contributing to hypoxia. Cytokines, chemokines, and growth factors facilitate cell communications, influencing tumor behavior and response to treatment [<a href="#B42-cancers-16-03810" class="html-bibr">42</a>]. This intricate interplay within the TME profoundly impacts cancer development, immune evasion, and therapeutic outcomes.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/22/3810'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g003-550.jpg?1731467589" title=" <strong>Figure 3</strong><br/> <p>CTLA-4 and CD28 interaction with CD80/86. CTLA-4 competes with the costimulatory molecule CD28 for the CD80/86 ligands, where it has a higher affinity and avidity [<a href="#B55-cancers-16-03810" class="html-bibr">55</a>,<a href="#B57-cancers-16-03810" class="html-bibr">57</a>]. Because CD80 and CD86 both use CD28 to provide a positive costimulatory signal, CTLA-4’s function in competitively inhibiting CD28 is crucial for reducing T cell activation and adjusting the immunological response [<a href="#B57-cancers-16-03810" class="html-bibr">57</a>].</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/22/3810'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g004-550.jpg?1731467590" title=" <strong>Figure 4</strong><br/> <p>Representation of bacteria and bacterial components. Bacterial agents used in cancer therapy are intended to boost the immune system, allowing it to better detect and fight cancer cells. These agents are important in cancer therapy because of their ability to interact with the immune system, disrupt the immunosuppressive tumor microenvironment, and lyse tumor cells, thereby improving the immune response and the efficacy of existing immunotherapies and providing a promising avenue for novel cancer treatments. In recent years, advancements in technology and the attenuation of pathogenic strains have led researchers to concentrate on biochemical and molecular techniques to manipulate bacteria in the fight against cancer. These bacteria can be engineered to selectively target tumors and deliver anticancer medications, proteins, antibodies, enzymes, antigens, and cytokines straight to the cancer cells, thanks to developments in synthetic biology and genetic engineering [<a href="#B87-cancers-16-03810" class="html-bibr">87</a>].</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/22/3810'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-03810/article_deploy/html/images/cancers-16-03810-g005-550.jpg?1731467591" title=" <strong>Figure 5</strong><br/> <p>The mechanism by which bacteria target tumors. Bacterial toxins and components such as those from <span class="html-italic">Salmonella</span>, <span class="html-italic">Listeria</span>, <span class="html-italic">Clostridium</span>, and <span class="html-italic">Brucella melitensis</span> induce tumor cytotoxicity by triggering autophagy, apoptosis, and immune responses. These bacteria enhance CD8+ T cell activation, reduce regulatory T cells, and promote cytokine production (e.g., IL-1β, TNF-α, IFN-γ), ultimately boosting antitumor immunity through various mechanisms, including gap junction formation, inflammasome activation, and increased neutrophil activity.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/22/3810'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1417102" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 15 pages, 1150 KiB   </span> <a href="/2072-6694/16/12/2255/pdf?version=1718708512" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="The Importance of Intestinal Microbiota and Dysbiosis in the Context of the Development of Intestinal Lymphoma in Dogs and Cats" data-journal="cancers"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Review</span></div> <a class="title-link" href="/2072-6694/16/12/2255">The Importance of Intestinal Microbiota and Dysbiosis in the Context of the Development of Intestinal Lymphoma in Dogs and Cats</a> <div class="authors"> by <span class="inlineblock "><strong>Wioleta Jadwiga Breczko</strong>, </span><span class="inlineblock "><strong>Joanna Bubak</strong> and </span><span class="inlineblock "><strong>Marta Miszczak</strong></span> </div> <div class="color-grey-dark"> <em>Cancers</em> <b>2024</b>, <em>16</em>(12), 2255; <a href="https://doi.org/10.3390/cancers16122255">https://doi.org/10.3390/cancers16122255</a> - 18 Jun 2024 </div> Viewed by 1622 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Recent advancements have significantly enhanced our understanding of the crucial role animal microbiomes play in veterinary medicine. Their importance in the complex intestinal environment spans immune modulation, metabolic homeostasis, and the pathogenesis of chronic diseases. Dysbiosis, a microbial imbalance, can lead to a <a href="#" data-counterslink = "https://www.mdpi.com/2072-6694/16/12/2255/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Recent advancements have significantly enhanced our understanding of the crucial role animal microbiomes play in veterinary medicine. Their importance in the complex intestinal environment spans immune modulation, metabolic homeostasis, and the pathogenesis of chronic diseases. Dysbiosis, a microbial imbalance, can lead to a range of diseases affecting both individual organs and the entire organism. Microbial disruption triggers inflammatory responses in the intestinal mucosa and disturbs immune homeostasis, increasing susceptibility to toxins and their metabolites. These dynamics contribute to the development of intestinal lymphoma, necessitating rigorous investigation into the role of microbiota in tumorigenesis. The principles explored in this study extend beyond veterinary medicine to encompass broader human health concerns. There are remarkable parallels between the subtypes of lymphoproliferative disorders in animals and humans, particularly Hodgkin’s lymphoma and non-Hodgkin’s lymphoma. Understanding the etiology of a cancer of the lymphatic system formation is critical for developing both preventive strategies and therapeutic interventions, with the potential to significantly improve patient outcomes. The aim of this study is to discuss the optimal composition of the microbiome in dogs and cats and the potential alterations in the microbiota during the development of intestinal lesions, particularly intestinal lymphoma. Molecular and cellular analyses are also incorporated to detect inflammatory changes and carcinogenesis. A review of the literature on the connections between the gut microbiome and the development of lymphomas in dogs and cats is presented, along with potential diagnostic approaches for these cancers. <a href="/2072-6694/16/12/2255">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2072-6694/16/12/2255/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1417102"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1417102"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1417102" data-cycle-prev="#prev1417102" data-cycle-progressive="#images1417102" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1417102-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/cancers/cancers-16-02255/article_deploy/html/images/cancers-16-02255-g001-550.jpg?1718708581" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1417102" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1417102-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-02255/article_deploy/html/images/cancers-16-02255-g002-550.jpg?1718708583'><p>Figure 2</p></div></script></div></div><div id="article-1417102-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/cancers/cancers-16-02255/article_deploy/html/images/cancers-16-02255-g001-550.jpg?1718708581" title=" <strong>Figure 1</strong><br/> <p>The origin of carcinogenesis associated with dysbiosis [<a href="#B9-cancers-16-02255" class="html-bibr">9</a>].</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/12/2255'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-02255/article_deploy/html/images/cancers-16-02255-g002-550.jpg?1718708583" title=" <strong>Figure 2</strong><br/> <p>Comparison of microbiota in normobiosis, IBD and lymphoma. The pie charts illustrate the shift in proportions of different microbial populations in described states (the wedge sizes do not represent exact percentages) [<a href="#B2-cancers-16-02255" class="html-bibr">2</a>,<a href="#B21-cancers-16-02255" class="html-bibr">21</a>,<a href="#B35-cancers-16-02255" class="html-bibr">35</a>,<a href="#B36-cancers-16-02255" class="html-bibr">36</a>,<a href="#B37-cancers-16-02255" class="html-bibr">37</a>,<a href="#B38-cancers-16-02255" class="html-bibr">38</a>,<a href="#B39-cancers-16-02255" class="html-bibr">39</a>].</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/12/2255'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1356509" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 16 pages, 3790 KiB   </span> <a href="/2072-6694/16/6/1144/pdf?version=1710927150" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Biomarkers of Immunotherapy Response in Patients with Non-Small-Cell Lung Cancer: Microbiota Composition, Short-Chain Fatty Acids, and Intestinal Permeability" data-journal="cancers"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2072-6694/16/6/1144">Biomarkers of Immunotherapy Response in Patients with Non-Small-Cell Lung Cancer: Microbiota Composition, Short-Chain Fatty Acids, and Intestinal Permeability</a> <div class="authors"> by <span class="inlineblock "><strong>Alba Moratiel-Pellitero</strong>, </span><span class="inlineblock "><strong>María Zapata-García</strong>, </span><span class="inlineblock "><strong>Marta Gascón-Ruiz</strong>, </span><span class="inlineblock "><strong>Andrea Sesma</strong>, </span><span class="inlineblock "><strong>Elisa Quílez</strong>, </span><span class="inlineblock "><strong>Ariel Ramirez-Labrada</strong>, </span><span class="inlineblock "><strong>Luis Martínez-Lostao</strong>, </span><span class="inlineblock "><strong>María Pilar Domingo</strong>, </span><span class="inlineblock "><strong>Patricia Esteban</strong>, </span><span class="inlineblock "><strong>Alfonso Yubero</strong>, </span><span class="inlineblock "><strong>Raquel Barbero-Herranz</strong>, </span><span class="inlineblock "><strong>Ana Moreno-Blanco</strong>, </span><span class="inlineblock "><strong>José Ramón Paño</strong>, </span><span class="inlineblock "><strong>Rodrigo Lastra</strong>, </span><span class="inlineblock "><strong>Julián Pardo</strong>, </span><span class="inlineblock "><strong>Dolores Isla</strong>, </span><span class="inlineblock "><strong>Rosa del Campo</strong> and </span><span class="inlineblock "><strong>Eva Gálvez</strong></span> </div> <div class="color-grey-dark"> <em>Cancers</em> <b>2024</b>, <em>16</em>(6), 1144; <a href="https://doi.org/10.3390/cancers16061144">https://doi.org/10.3390/cancers16061144</a> - 13 Mar 2024 </div> Viewed by 1653 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Immune checkpoint inhibitors have been proposed as the standard treatment for different stages of non-small-cell lung cancer in multiple indications. Not all patients benefit from these treatments, however, and certain patients develop immune-related adverse events. Although the search for predictors of response to <a href="#" data-counterslink = "https://www.mdpi.com/2072-6694/16/6/1144/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Immune checkpoint inhibitors have been proposed as the standard treatment for different stages of non-small-cell lung cancer in multiple indications. Not all patients benefit from these treatments, however, and certain patients develop immune-related adverse events. Although the search for predictors of response to these drugs is a major field of research, these issues have yet to be resolved. It has been postulated that microbiota could play a relevant role in conditioning the response to cancer treatments; however, the human factor of intestinal permeability also needs to be considered as it is closely related to the regulation of host–microbiota interaction. In this article, we analyzed the possible relationship between the response to immune checkpoint inhibitors and the onset of immune-related adverse events, gut microbiota status, and intestinal membrane permeability. In a pioneering step, we also measured short-chain fatty acid content in feces. Although the correlation analyses failed to identify predictive biomarkers, even when all variables were integrated, our patients’ microbial gut ecosystems were rich and diverse, and the intestinal barrier’s integrity was preserved. These results add new knowledge on the composition of microbiota and its correlation with barrier permeability and short-chain fatty acids and suggest that more studies are required before these potential biomarkers can be incorporated into the clinical management of patients via immune checkpoint inhibitor treatment. <a href="/2072-6694/16/6/1144">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2072-6694/16/6/1144/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1356509"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1356509"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1356509" data-cycle-prev="#prev1356509" data-cycle-progressive="#images1356509" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1356509-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g001-550.jpg?1710927260" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1356509" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1356509-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g002-550.jpg?1710927263'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1356509-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g003a-550.jpg?1710927268'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1356509-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g003b-550.jpg?1710927271'><p>Figure 3 Cont.</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1356509-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g004-550.jpg?1710927272'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1356509-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g005-550.jpg?1710927274'><p>Figure 5</p></div></script></div></div><div id="article-1356509-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g001-550.jpg?1710927260" title=" <strong>Figure 1</strong><br/> <p>Kaplan–Meier survival analysis according to the presence of immune-related toxicity: (<b>A</b>) overall survival; (<b>B</b>) progression-free tumor survival. Complete response (CR), partial response (PR), stable disease (SE), progressive disease (PD), and not evaluated (NE).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/6/1144'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g002-550.jpg?1710927263" title=" <strong>Figure 2</strong><br/> <p>Bacterial composition in the different groups used in this study: (<b>A</b>) weighted UNIFRAC analysis that failed to separate responders and non-responders to ICIs, as well as patients with and without irAEs; (<b>B</b>) LEFSe results for patients who did and did not respond to ICI treatment; (<b>C</b>) LEFSe results for patients who did and did not have ICI toxicity.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/6/1144'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g003a-550.jpg?1710927268" title=" <strong>Figure 3</strong><br/> <p>Values obtained for each of the SCFAs and their statistical analysis according to patient group: response, response and toxicity, toxicity only, and none. Statistically significant differences were not detected for the 4 groups or any SCFA.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/6/1144'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g003b-550.jpg?1710927271" title=" <strong>Figure 3 Cont.</strong><br/> <p>Values obtained for each of the SCFAs and their statistical analysis according to patient group: response, response and toxicity, toxicity only, and none. Statistically significant differences were not detected for the 4 groups or any SCFA.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/6/1144'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g004-550.jpg?1710927272" title=" <strong>Figure 4</strong><br/> <p>Distribution of values obtained for markers related to intestinal permeability.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/6/1144'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-16-01144/article_deploy/html/images/cancers-16-01144-g005-550.jpg?1710927274" title=" <strong>Figure 5</strong><br/> <p>Integrative statistical analysis including all clinical and analytical variables.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/16/6/1144'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1320937" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 20 pages, 3018 KiB   </span> <a href="/2077-0383/13/2/529/pdf?version=1705489724" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Changes in Intestinal Flora and Serum Metabolites Pre- and Post-Antitumor Drug Therapy in Patients with Non-Small Cell Lung Cancer" data-journal="jcm"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2077-0383/13/2/529">Changes in Intestinal Flora and Serum Metabolites Pre- and Post-Antitumor Drug Therapy in Patients with Non-Small Cell Lung Cancer</a> <div class="authors"> by <span class="inlineblock "><strong>Zhenyu Tian</strong>, </span><span class="inlineblock "><strong>Yan’e Liu</strong>, </span><span class="inlineblock "><strong>Dan Zhu</strong>, </span><span class="inlineblock "><strong>Baoshan Cao</strong> and </span><span class="inlineblock "><strong>Ming Cui</strong></span> </div> <div class="color-grey-dark"> <em>J. Clin. Med.</em> <b>2024</b>, <em>13</em>(2), 529; <a href="https://doi.org/10.3390/jcm13020529">https://doi.org/10.3390/jcm13020529</a> - 17 Jan 2024 </div> <a href="/2077-0383/13/2/529#metrics">Cited by 1</a> | Viewed by 1768 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Objective: this study aimed to identify the relationships between gut microbiota, metabolism, and non-small cell lung cancer (NSCLC) treatment outcomes, which are presently unclear. Methods: in this single-center prospective cohort study, we investigated changes in the gut microbiota and serum metabolite profile in <a href="#" data-counterslink = "https://www.mdpi.com/2077-0383/13/2/529/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Objective: this study aimed to identify the relationships between gut microbiota, metabolism, and non-small cell lung cancer (NSCLC) treatment outcomes, which are presently unclear. Methods: in this single-center prospective cohort study, we investigated changes in the gut microbiota and serum metabolite profile in 60 patients with NSCLC after four cycles of anticancer therapy. Results: The microbial landscape of the gut exhibited a surge in Proteobacteria and Verrucomicrobiota populations, alongside a decline in Firmicutes, Actinobacteriota, and Bacteroidota. Furthermore, a significant shift in the prevalence of certain bacterial genera was noted, with an increase in Escherichia/Shigella and Klebsiella, contrasted by a reduction in Bifidobacterium. Metabolomic analysis uncovered significant changes in lipid abundances, with certain metabolic pathways markedly altered post-treatment. Correlation assessments identified strong links between certain gut microbial genera and serum metabolite concentrations. Despite these findings, a subgroup analysis delineating patient responses to therapy revealed no significant shifts in the gut microbiome’s composition after four cycles of treatment. Conclusions: This study emphasizes the critical role of gut microbiota changes in NSCLC patients during anticancer treatment. These insights pave the way for managing treatment complications and inform future research to improve patient care by understanding and addressing these microbiota changes. <a href="/2077-0383/13/2/529">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2077-0383/13/2/529/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1320937"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1320937"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1320937" data-cycle-prev="#prev1320937" data-cycle-progressive="#images1320937" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1320937-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g001-550.jpg?1705489809" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1320937" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1320937-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g002-550.jpg?1705489811'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1320937-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g003-550.jpg?1705489813'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1320937-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g004-550.jpg?1705489814'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1320937-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g005-550.jpg?1705489815'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1320937-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g006-550.jpg?1705489817'><p>Figure 6</p></div> --- <div class='openpopupgallery' data-imgindex='6' data-target='article-1320937-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g007-550.jpg?1705489818'><p>Figure 7</p></div> --- <div class='openpopupgallery' data-imgindex='7' data-target='article-1320937-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g008-550.jpg?1705489820'><p>Figure 8</p></div> --- <div class='openpopupgallery' data-imgindex='8' data-target='article-1320937-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g009-550.jpg?1705489822'><p>Figure 9</p></div> --- <div class='openpopupgallery' data-imgindex='9' data-target='article-1320937-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g010-550.jpg?1705489824'><p>Figure 10</p></div></script></div></div><div id="article-1320937-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g001-550.jpg?1705489809" title=" <strong>Figure 1</strong><br/> <p>(<b>A</b>) “Shannon Index and Biodiversity”: represents information entropy with higher values signifying increased community diversity. (<b>B</b>) “Goods Coverage of Microbial Species”: indicates the comprehensiveness of microbial sequencing, with higher values suggesting more complete species representation in the sample. *** <span class="html-italic">p</span> &lt; 0.001.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g002-550.jpg?1705489811" title=" <strong>Figure 2</strong><br/> <p>Dimensional reduction of species composition variability via PCA. PCA of sample differences based on ASV abundance: displays sample variability on a two-dimensional plot using PC1 and PC2, with species composition similarity dictating proximity on the plot; analysis performed with R’s vegan package.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g003-550.jpg?1705489813" title=" <strong>Figure 3</strong><br/> <p>(<b>A</b>) “Bray-Curtis Clustering of Phylum-Level Species Composition”: illustrates phylogenetic proximity with shorter branches indicating higher similarity. (<b>B</b>) “Top 30 Phyla by Differential Abundance”: bar plots showing species ranked by relative abundance with significance indicated by <span class="html-italic">p</span>-values less than 0.05.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g004-550.jpg?1705489814" title=" <strong>Figure 4</strong><br/> <p>(<b>A</b>) “Multilevel Taxonomic Evolutionary Tree”: circular layers depict the hierarchy from kingdom to species; node size reflects species abundance, with color differences highlighting statistical significance in abundance across groups. (<b>B</b>) “Biomarker Distribution with LDA Scores”: bars illustrate biomarkers ex-ceeding an LDA threshold of 4.0, with color indicating higher abundance and length showing the biomarker’s influence.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g005-550.jpg?1705489815" title=" <strong>Figure 5</strong><br/> <p>(<b>A</b>) “Genus-Level Bray-Curtis Clustering”: tree diagram showing sample clustering based on genus composition similarity, with shorter branches indicating closer relationships. (<b>B</b>) “Genus-Level Differential Abundance”: bar charts of the top 30 genera ranked by relative abundance, selected based on <span class="html-italic">p</span>-values below 0.05.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g006-550.jpg?1705489817" title=" <strong>Figure 6</strong><br/> <p>(<b>A</b>) “PLS-DA Score Plot”: illustrates sample classification along PC1 and PC2 with dispersion between groups indicating sample distribution trends. (<b>B</b>) “Permutation Test for Model Validation”: depicts the relationship between the original classification and permutation-derived classifications to assess model overfitting, with Q2 &lt; 0 signifying no overfitting.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g007-550.jpg?1705489818" title=" <strong>Figure 7</strong><br/> <p>(<b>A</b>) “Volcano Plot of Differentially Expressed Metabolites”: showcases metabolites with significant fold changes and <span class="html-italic">p</span>-values, indicating up- or downregulation. (<b>B</b>) Summary of 107 upregulated and 228 downregulated metabolites, selected based on fold change, <span class="html-italic">p</span>-value, and PLS-DA VIP criteria.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g008-550.jpg?1705489820" title=" <strong>Figure 8</strong><br/> <p>KEGG pathway enrichment scatter plot: depicts the rich factor of differentially expressed metabolites within specific pathways, with significance indicated by the <span class="html-italic">p</span>-value.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g009-550.jpg?1705489822" title=" <strong>Figure 9</strong><br/> <p>Correlation heatmap of gut microbiota and serum metabolites post-antitumor therapy: this heatmap illustrates the correlations between the levels of gut microbiota genera and serum metabolites following antitumor treatment, determined using Spearman’s correlation analysis; red indicates a positive correlation, while blue signifies a negative correlation.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-13-00529/article_deploy/html/images/jcm-13-00529-g010-550.jpg?1705489824" title=" <strong>Figure 10</strong><br/> <p>“Correlation Heatmap of Clinical Features with Gut Microbiota and Serum Metabolites Post-Antitumor Therapy”. This heatmap depicts the correlations between clinical features and both gut microbiota genera levels and serum metabolite levels after antitumor treatment, assessed using Spearman’s correlation analysis. Red indicates a positive correlation, while blue denotes a negative correlation.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/13/2/529'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1265972" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 22 pages, 849 KiB   </span> <a href="/1718-7729/30/11/681/pdf?version=1698130628" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="The Gut Microbiome from a Biomarker to a Novel Therapeutic Strategy for Immunotherapy Response in Patients with Lung Cancer" data-journal="curroncol"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Review</span></div> <a class="title-link" href="/1718-7729/30/11/681">The Gut Microbiome from a Biomarker to a Novel Therapeutic Strategy for Immunotherapy Response in Patients with Lung Cancer</a> <div class="authors"> by <span class="inlineblock "><strong>Sreya Duttagupta</strong>, </span><span class="inlineblock "><strong>Taiki Hakozaki</strong>, </span><span class="inlineblock "><strong>Bertrand Routy</strong> and </span><span class="inlineblock "><strong>Meriem Messaoudene</strong></span> </div> <div class="color-grey-dark"> <em>Curr. Oncol.</em> <b>2023</b>, <em>30</em>(11), 9406-9427; <a href="https://doi.org/10.3390/curroncol30110681">https://doi.org/10.3390/curroncol30110681</a> - 24 Oct 2023 </div> <a href="/1718-7729/30/11/681#metrics">Cited by 5</a> | Viewed by 3814 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> The gastrointestinal microbiome has been shown to play a key role in determining the responses to cancer immunotherapy, including immune checkpoint inhibitor (ICI) therapy and CAR-T. In patients with non-small cell lung cancer (NSCLC), increasing evidence suggests that a microbiome composition signature is <a href="#" data-counterslink = "https://www.mdpi.com/1718-7729/30/11/681/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> The gastrointestinal microbiome has been shown to play a key role in determining the responses to cancer immunotherapy, including immune checkpoint inhibitor (ICI) therapy and CAR-T. In patients with non-small cell lung cancer (NSCLC), increasing evidence suggests that a microbiome composition signature is associated with clinical response to ICIs as well as with the development of immune-related adverse events. In support of this, antibiotic (ATB)-related dysbiosis has been consistently linked with the deleterious impact of ICI response, shortening the overall survival (OS) among patients on ATBs prior to ICI initiation. In parallel, several preclinical experiments have unravelled various strategies using probiotics, prebiotics, diet, and fecal microbiota transplantation as new therapeutic tools to beneficially shift the microbiome and enhance ICI efficacy. These approaches are currently being evaluated in clinical trials and have achieved encouraging preliminary results. In this article, we reviewed the recent studies on the gut microbiome as a potential biomarker and an adjuvant therapy to ICIs in NSCLC patients. <a href="/1718-7729/30/11/681">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/1718-7729/30/11/681/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1265972"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1265972"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1265972" data-cycle-prev="#prev1265972" data-cycle-progressive="#images1265972" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1265972-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/curroncol/curroncol-30-00681/article_deploy/html/images/curroncol-30-00681-g001-550.jpg?1698130721" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1265972" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1265972-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/curroncol/curroncol-30-00681/article_deploy/html/images/curroncol-30-00681-g002-550.jpg?1698130726'><p>Figure 2</p></div></script></div></div><div id="article-1265972-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/curroncol/curroncol-30-00681/article_deploy/html/images/curroncol-30-00681-g001-550.jpg?1698130721" title=" <strong>Figure 1</strong><br/> <p>Host and medication-related biomarkers that can impact the immune checkpoint blockers’ (ICI) response.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1718-7729/30/11/681'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/curroncol/curroncol-30-00681/article_deploy/html/images/curroncol-30-00681-g002-550.jpg?1698130726" title=" <strong>Figure 2</strong><br/> <p>Microbiome-related biomarkers that can impact the immune checkpoint blockers’ (ICI) response.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1718-7729/30/11/681'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1262771" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 19 pages, 6402 KiB   </span> <a href="/2072-6694/15/20/5045/pdf?version=1697693868" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Mucosal Microbiome in Patients with Early Bowel Polyps: Inferences from Short-Read and Long-Read 16S rRNA Sequencing" data-journal="cancers"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2072-6694/15/20/5045">Mucosal Microbiome in Patients with Early Bowel Polyps: Inferences from Short-Read and Long-Read 16S rRNA Sequencing</a> <div class="authors"> by <span class="inlineblock "><strong>Zoe Welham</strong>, </span><span class="inlineblock "><strong>Jun Li</strong>, </span><span class="inlineblock "><strong>Alexander F. Engel</strong> and </span><span class="inlineblock "><strong>Mark P. Molloy</strong></span> </div> <div class="color-grey-dark"> <em>Cancers</em> <b>2023</b>, <em>15</em>(20), 5045; <a href="https://doi.org/10.3390/cancers15205045">https://doi.org/10.3390/cancers15205045</a> - 19 Oct 2023 </div> <a href="/2072-6694/15/20/5045#metrics">Cited by 3</a> | Viewed by 1812 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Numerous studies have correlated dysbiosis in stool microbiota with colorectal cancer (CRC); however, fewer studies have investigated the mucosal microbiome in pre-cancerous bowel polyps. The short-read sequencing of variable regions in the 16S rRNA gene has commonly been used to infer bacterial taxonomy, <a href="#" data-counterslink = "https://www.mdpi.com/2072-6694/15/20/5045/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Numerous studies have correlated dysbiosis in stool microbiota with colorectal cancer (CRC); however, fewer studies have investigated the mucosal microbiome in pre-cancerous bowel polyps. The short-read sequencing of variable regions in the 16S rRNA gene has commonly been used to infer bacterial taxonomy, and this has led, in part, to inconsistent findings between studies. Here, we examined mucosal microbiota from patients who presented with one or more polyps, compared to patients with no polyps, at the time of colonoscopy. We evaluated the results obtained using both short-read and PacBio long-read 16S rRNA sequencing. Neither sequencing technology identified significant differences in microbial diversity measures between patients with or without bowel polyps. Differential abundance measures showed that amplicon sequence variants (ASVs) associated with <i>Ruminococcus gnavus</i> and <i>Escherichia coli</i> were elevated in mucosa from polyp patients, while ASVs associated with <i>Parabacteroides merdae</i>, <i>Veillonella nakazawae</i>, and <i>Sutterella wadsworthensis</i> were relatively decreased. Only <i>R. gnavus</i> was consistently identified using both sequencing technologies as being altered between patients with polyps compared to patients without polyps, suggesting differences in technologies and bioinformatics processing impact study findings. Several of the differentially abundant bacteria identified using either sequencing technology are associated with inflammatory bowel diseases despite these patients being excluded from the current study, which suggests that early bowel neoplasia may be associated with a local inflammatory niche. <a href="/2072-6694/15/20/5045">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2072-6694/15/20/5045/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1262771"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1262771"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1262771" data-cycle-prev="#prev1262771" data-cycle-progressive="#images1262771" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1262771-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g001-550.jpg?1697693944" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1262771" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1262771-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g002-550.jpg?1697693946'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1262771-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g003-550.jpg?1697693947'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1262771-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g004-550.jpg?1697693950'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1262771-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g005-550.jpg?1697693953'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1262771-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g006-550.jpg?1697693955'><p>Figure 6</p></div> --- <div class='openpopupgallery' data-imgindex='6' data-target='article-1262771-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g007-550.jpg?1697693958'><p>Figure 7</p></div> --- <div class='openpopupgallery' data-imgindex='7' data-target='article-1262771-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g008-550.jpg?1697693961'><p>Figure 8</p></div></script></div></div><div id="article-1262771-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g001-550.jpg?1697693944" title=" <strong>Figure 1</strong><br/> <p>Composition plots aggregated to the phylum level for (<b>A</b>) SR and (<b>B</b>) PB-LR data. (<b>C</b>) Gel electrophoresis of DNA from mucosa samples amplified with bacterial 16S-ITS-23S or 16S V1–V9 primers. Lane 1: DNA ladder. Lanes 2–4 (yellow underline) represent PCR products from stool amplified with 16S V1–V9 primers. Lanes 5–10 (blue underline) represent the PCR products from a selection of mucosal biopsy study samples amplified with 16S V1–V9 primers. Lanes 11–16 (red underline) represent PCR products from a selection of mucosal biopsy study samples amplified with 16S-ITS-23S primers. The 16S rRNA gene amplicon of interest is shown with the blue box.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/20/5045'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g002-550.jpg?1697693946" title=" <strong>Figure 2</strong><br/> <p>(<b>A</b>) Bar chart depicting the percentage of ASVs assigned to genus and species-level taxonomy for short-read (SR), SR silva database only, and PacBio (PB) long-read (LR) platforms. Histograms for (<b>B</b>) SR and (<b>C</b>) PB-LR library sizes for 27 polyp-associated and 27 polyp-free samples.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/20/5045'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g003-550.jpg?1697693947" title=" <strong>Figure 3</strong><br/> <p>Top 15 ASVs for (<b>A</b>) SR abundance, (<b>B</b>) SR prevalence, (<b>C</b>) PB-LR abundance, (<b>D</b>) PB-LR prevalence. Top 15 species for (<b>E</b>) SR abundance, (<b>F</b>) SR prevalence, (<b>G</b>) PB-LR abundance, and (<b>H</b>) PB-LR prevalence.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/20/5045'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g004-550.jpg?1697693950" title=" <strong>Figure 4</strong><br/> <p>Short-read data: (<b>A</b>) Alpha diversity: Box plots of the Shannon diversity index, Chao1 richness estimator, and Pielou evenness index (<b>B</b>) Beta diversity: PCoA of the Bray–Curtis distance measure. PacBio long-read data: (<b>C</b>) Alpha diversity: Box plots of the Shannon diversity index, Chao1 richness estimator, and Pielou evenness index. (<b>D</b>) Beta diversity: PCoA of the Bray–Curtis distance measure. All data colored by polyp status.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/20/5045'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g005-550.jpg?1697693953" title=" <strong>Figure 5</strong><br/> <p>Composition plots with ASVs aggregated at the phylum level for (<b>A</b>) SR and (<b>B</b>) PB-LR, set at the family level for (<b>C</b>) SR and (<b>D</b>) PB-LR data, and set at the genus level for (<b>E</b>) SR and (<b>F</b>) LR data, comparing polyp-associated and polyp-free cases.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/20/5045'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g006-550.jpg?1697693955" title=" <strong>Figure 6</strong><br/> <p>Phylogenetic trees of the order <span class="html-italic">Eubacteriales</span> for (<b>A</b>) SR and (<b>B</b>) PB-LR data.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/20/5045'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g007-550.jpg?1697693958" title=" <strong>Figure 7</strong><br/> <p>LEfSe differential abundance plot for (<b>A</b>) SR and (<b>B</b>) PB data sets, and ANCOMBC2 analyses for (<b>C</b>) SR and (<b>D</b>) PB-LR data, showing bacteria differentially abundant (<span class="html-italic">p</span> &lt; 0.05) between polyp-associated and polyp-free samples. LEfSe bar plots for <span class="html-italic">Ruminococcus gnavus</span> are displayed for (<b>E</b>) SR and (<b>F</b>) PB-LR data. Each red bar indicates the relative abundance for a participant specimen. The black vertical bar separates the polyp specimens from polyp-free specimens. The black solid and dashed horizontal bars indicate the mean and median relative abundance for the two patient groups, respectively.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/20/5045'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-15-05045/article_deploy/html/images/cancers-15-05045-g008-550.jpg?1697693961" title=" <strong>Figure 8</strong><br/> <p>Principal Components Analysis for (<b>A</b>) short-read and (<b>D</b>) PacBio long-read data. Sparse Partial Least Squares Discriminant Analysis for (<b>B</b>) short-read and (<b>E</b>) PacBio long-read data. Each plot is colored by polyp status. Bar plots for (<b>C</b>) short-read and (<b>F</b>) PacBio long-read data: ASVs are ranked according to how influential they are in contributing to the variability in component 1 with the most important on the bottom. The color of each bar corresponds to which group (polyp or polyp-free) has the higher median for the ASV.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/20/5045'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1225514" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 8 pages, 3901 KiB   </span> <a href="/1718-7729/30/9/570/pdf?version=1693193360" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Two Cases of Durable and Deep Responses to Immune Checkpoint Inhibition-Refractory Metastatic Melanoma after Addition of Camu Camu Prebiotic" data-journal="curroncol"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Case Report</span></div> <a class="title-link" href="/1718-7729/30/9/570">Two Cases of Durable and Deep Responses to Immune Checkpoint Inhibition-Refractory Metastatic Melanoma after Addition of Camu Camu Prebiotic</a> <div class="authors"> by <span class="inlineblock "><strong>Steph A. Pang</strong>, </span><span class="inlineblock "><strong>Arielle Elkrief</strong>, </span><span class="inlineblock "><strong>Mariana Pilon Capella</strong> and </span><span class="inlineblock "><strong>Wilson H. Miller, Jr.</strong></span> </div> <div class="color-grey-dark"> <em>Curr. Oncol.</em> <b>2023</b>, <em>30</em>(9), 7852-7859; <a href="https://doi.org/10.3390/curroncol30090570">https://doi.org/10.3390/curroncol30090570</a> - 25 Aug 2023 </div> <a href="/1718-7729/30/9/570#metrics">Cited by 4</a> | Viewed by 3433 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Camu camu (CC) is a prebiotic that selectively stimulates growth and activity of beneficial gut microbiota. Work in murine models demonstrated that castalagin, the active compound in CC, preferentially binds to beneficial gut microbiome bacteria, promoting a stronger CD8+T cell anti-cancer response. We <a href="#" data-counterslink = "https://www.mdpi.com/1718-7729/30/9/570/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Camu camu (CC) is a prebiotic that selectively stimulates growth and activity of beneficial gut microbiota. Work in murine models demonstrated that castalagin, the active compound in CC, preferentially binds to beneficial gut microbiome bacteria, promoting a stronger CD8+T cell anti-cancer response. We present two patients with metastatic melanoma whose cancer progressed on immune checkpoint inhibitors (ICIs) and developed clinically significant immune-related adverse events (irAEs). They were rechallenged with ICIs in combination with CC. The first patient is a 71-year-old woman with metastatic melanoma, whose ICI treatment was complicated by immune-related pneumonitis and colitis. Upon progression on maintenance nivolumab, CC was added to nivolumab, leading to a near complete response (CR). The second patient is a 90-year-old man with recurrent unresectable melanoma, treated with nivolumab, complicated by immune-related rash and diabetes. He developed new subcutaneous calf lesions and a metastatic popliteal lymph node. CC was added to nivolumab. One month later, the patient experienced a CR. Both patients have been on nivolumab and CC with durable responses for more than a year, with minimal irAEs. These two cases suggest that CC may modulate the microbiome, synergizing with ICIs to produce deep, durable responses with minimal irAEs. <a href="/1718-7729/30/9/570">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/1718-7729/30/9/570/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1225514"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1225514"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1225514" data-cycle-prev="#prev1225514" data-cycle-progressive="#images1225514" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1225514-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/curroncol/curroncol-30-00570/article_deploy/html/images/curroncol-30-00570-g001-550.jpg?1693206270" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1225514" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1225514-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/curroncol/curroncol-30-00570/article_deploy/html/images/curroncol-30-00570-g002-550.jpg?1693206274'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1225514-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/curroncol/curroncol-30-00570/article_deploy/html/images/curroncol-30-00570-g003-550.jpg?1693206275'><p>Figure 3</p></div></script></div></div><div id="article-1225514-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/curroncol/curroncol-30-00570/article_deploy/html/images/curroncol-30-00570-g001-550.jpg?1693206270" title=" <strong>Figure 1</strong><br/> <p>Timeline of immunotherapy treatments, antibiotic use, and clinical evolution of patient 1. Legend: anti-PDL1: anti-programmed death-ligand 1; PR: partial response; PD: progressive disease; tram: trametinib; r-IL2: recombinant interleukin-2; SD: stable disease; Ipi: ipilimumab; brachyTx: brachytherapy; nivo: nivolumab; PR: partial response; CC: camu camu. In orange boxes: antibiotics administered to patient during and in between her treatments. In white boxes: immunotherapy administered to patient, with best clinical response. In green box: treatment with immunotherapy and CC.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1718-7729/30/9/570'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/curroncol/curroncol-30-00570/article_deploy/html/images/curroncol-30-00570-g002-550.jpg?1693206274" title=" <strong>Figure 2</strong><br/> <p>Evolution of perihilar metastasis in patient 1. Outlined in red is tumour; outlined in blue is residual atelectasis/fibrosis as interpreted by radiology. (<b>a</b>) July 2021: progression of perihilar mass after 10 cycles of maintenance nivolumab (prior to addition of CC); (<b>b</b>) December 2021: improvement in the perihilar mass, shrinking from 6.5 × 4.8 cm to 5.4 × 4.5 cm, after 5 months of treatment with nivolumab and CC; (<b>c</b>) November 2022: near complete response on nivolumab and CC; (<b>d</b>) February 2023: ongoing near complete response on nivolumab and CC.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1718-7729/30/9/570'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/curroncol/curroncol-30-00570/article_deploy/html/images/curroncol-30-00570-g003-550.jpg?1693206275" title=" <strong>Figure 3</strong><br/> <p>Timeline of immunotherapy treatments and clinical evolution of patient 2. Legend: anti-IDO: indoleamine 2,3-dioxygenase inhibitor; CR: complete response; Nivo: nivolumab; PD: progressive disease; CC: camu camu. In white boxes: immunotherapy administered to patient, with best clinical response. In green box: treatment with immunotherapy and CC.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1718-7729/30/9/570'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1142399" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <a data-dropdown="drop-supplementary-1142399" aria-controls="drop-supplementary-1142399" aria-expanded="false" title="Supplementary Material"> <i class="material-icons">attachment</i> </a> <div id="drop-supplementary-1142399" class="f-dropdown label__btn__dropdown label__btn__dropdown--wide" data-dropdown-content aria-hidden="true" tabindex="-1"> Supplementary material: <br/> <a href="/2072-6694/15/10/2668/s1?version=1683613504"> Supplementary File 1 (ZIP, 416 KiB) </a><br/> </div> </div> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 17 pages, 1234 KiB   </span> <a href="/2072-6694/15/10/2668/pdf?version=1683613503" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Evaluation of the Oesophagogastric Cancer-Associated Microbiome: A Systematic Review and Quality Assessment" data-journal="cancers"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Review</span></div> <a class="title-link" href="/2072-6694/15/10/2668">Evaluation of the Oesophagogastric Cancer-Associated Microbiome: A Systematic Review and Quality Assessment</a> <div class="authors"> by <span class="inlineblock "><strong>Bhamini Vadhwana</strong>, </span><span class="inlineblock "><strong>Munir Tarazi</strong>, </span><span class="inlineblock "><strong>Piers R. Boshier</strong> and </span><span class="inlineblock "><strong>George B. Hanna</strong></span> </div> <div class="color-grey-dark"> <em>Cancers</em> <b>2023</b>, <em>15</em>(10), 2668; <a href="https://doi.org/10.3390/cancers15102668">https://doi.org/10.3390/cancers15102668</a> - 9 May 2023 </div> <a href="/2072-6694/15/10/2668#metrics">Cited by 2</a> | Viewed by 2187 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Objective. Oesophagogastric cancer is the fifth most common cancer worldwide, with poor survival outcomes. The role of bacteria in the pathogenesis of oesophagogastric cancer remains poorly understood. Design. A systematic search identified studies assessing the oesophagogastric cancer microbiome. The primary outcome was to <a href="#" data-counterslink = "https://www.mdpi.com/2072-6694/15/10/2668/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Objective. Oesophagogastric cancer is the fifth most common cancer worldwide, with poor survival outcomes. The role of bacteria in the pathogenesis of oesophagogastric cancer remains poorly understood. Design. A systematic search identified studies assessing the oesophagogastric cancer microbiome. The primary outcome was to identify bacterial enrichment specific to oesophagogastric cancer. Secondary outcomes included appraisal of the methodology, diagnostic performance of cancer bacteria and the relationship between oral and tissue microbiome. Results. A total of 9295 articles were identified, and 87 studies were selected for analysis. Five genera were enriched in gastric cancer: <i>Lactobacillus</i>, <i>Streptococcus</i>, <i>Prevotella</i>, <i>Fusobacterium</i> and <i>Veillonella</i>. No clear trends were observed in oesophageal adenocarcinoma. <i>Streptococcus</i>, <i>Prevotella</i> and <i>Fusobacterium</i> were abundant in oesophageal squamous cell carcinoma. Functional analysis supports the role of immune cells, localised inflammation and cancer-specific pathways mediating carcinogenesis. STORMS reporting assessment identified experimental deficiencies, considering batch effects and sources of contamination prevalent in low-biomass samples. Conclusions. Functional analysis of cancer pathways can infer tumorigenesis within the cancer–microbe–immune axis. There is evidence that study design, experimental protocols and analytical techniques could be improved to achieve more accurate and representative results. Whole-genome sequencing is recommended to identify key metabolic and functional capabilities of candidate bacteria biomarkers. <a href="/2072-6694/15/10/2668">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2072-6694/15/10/2668/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1142399"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1142399"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1142399" data-cycle-prev="#prev1142399" data-cycle-progressive="#images1142399" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1142399-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/cancers/cancers-15-02668/article_deploy/html/images/cancers-15-02668-g001-550.jpg?1683613572" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1142399" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1142399-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-15-02668/article_deploy/html/images/cancers-15-02668-g002-550.jpg?1683613579'><p>Figure 2</p></div></script></div></div><div id="article-1142399-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/cancers/cancers-15-02668/article_deploy/html/images/cancers-15-02668-g001-550.jpg?1683613572" title=" <strong>Figure 1</strong><br/> <p>Flow chart demonstrating article selection.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/10/2668'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-15-02668/article_deploy/html/images/cancers-15-02668-g002-550.jpg?1683613579" title=" <strong>Figure 2</strong><br/> <p>Bacteria enriched in oesophagogastric carcinoma across all included 89 studies. G = genus.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/10/2668'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1125887" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 10 pages, 1905 KiB   </span> <a href="/2072-6694/15/8/2342/pdf?version=1681788803" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Antibiotics Significantly Decrease the Survival of Head and Neck Carcinoma Patients with Immunotherapy: A Real-World Analysis of More Than 3000 Cases" data-journal="cancers"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Communication</span></div> <a class="title-link" href="/2072-6694/15/8/2342">Antibiotics Significantly Decrease the Survival of Head and Neck Carcinoma Patients with Immunotherapy: A Real-World Analysis of More Than 3000 Cases</a> <div class="authors"> by <span class="inlineblock "><strong>Saskia Preissner</strong>, </span><span class="inlineblock "><strong>Max Heiland</strong>, </span><span class="inlineblock "><strong>Robert Preissner</strong>, </span><span class="inlineblock "><strong>Markus Wirth</strong> and </span><span class="inlineblock "><strong>Barbara Wollenberg</strong></span> </div> <div class="color-grey-dark"> <em>Cancers</em> <b>2023</b>, <em>15</em>(8), 2342; <a href="https://doi.org/10.3390/cancers15082342">https://doi.org/10.3390/cancers15082342</a> - 18 Apr 2023 </div> <a href="/2072-6694/15/8/2342#metrics">Cited by 5</a> | Viewed by 2217 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Objective: The human gut microbiome is strongly influenced by the administration of drugs, namely antibiotics. We hypothesized that the effectiveness of immunotherapy with pembrolizumab in oral squamous cell carcinoma patients is decreased by the administration of antibiotics three months before and after immunotherapy. <a href="#" data-counterslink = "https://www.mdpi.com/2072-6694/15/8/2342/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Objective: The human gut microbiome is strongly influenced by the administration of drugs, namely antibiotics. We hypothesized that the effectiveness of immunotherapy with pembrolizumab in oral squamous cell carcinoma patients is decreased by the administration of antibiotics three months before and after immunotherapy. Methods: We retrieved data from patients diagnosed with head and neck squamous cell carcinoma (HNSCC) (International Classification of Diseases [ICD]-10 codes C00-C14) and receiving immunotherapy with pembrolizumab from the TriNetX network. Two cohorts were built: patients in cohort I did not receive any antibiotics within three months before or up to three months after immunotherapy, while patients in cohort II were administered antibiotics at least once within three months before or after immunotherapy. To exclude confounders, we matched cohorts 1:1 for age, sex, secondary lymph node metastases, nicotine dependence, the insertion of feeding devices, body mass index (BMI) and severe sepsis. After defining the primary outcome as “death”, a Kaplan–Meier analysis was performed, and the risk ratio (RR), odds ratio (OR) and hazard ratio (HR) were calculated. Results: A total of 3651 patients were enrolled, and after matching, each cohort consisted of 1362 patients. Among cohorts I and II, 346 and 511 patients were deceased within one year (risk of death = 25.5 and 38.3%, respectively), whereby the risk difference was significant (<i>p</i> = 0.000; log-rank test). The RR was 0.68 (95% confidence interval: 0.60–0.76), OR was 0.57 (0.48–0.67) and HR was 0.58 (0.51–0.67). Conclusions: Our hypothesis was confirmed: administering antibiotics significantly decreases the drug effectiveness of immunotherapy. We hypothesize that this finding is associated with antibiotic-related changes in the gut microbiome. Prospective clinical studies on the gut microbiome in cancer patients are necessary to understand the complex ecosystem of microbiota during immunotherapy. Trial Registration: Due to the retrospective nature of the study, no registration was necessary. <a href="/2072-6694/15/8/2342">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2072-6694/15/8/2342/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1125887"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1125887"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1125887" data-cycle-prev="#prev1125887" data-cycle-progressive="#images1125887" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1125887-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/cancers/cancers-15-02342/article_deploy/html/images/cancers-15-02342-g001-550.jpg?1681788896" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1125887" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1125887-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/cancers/cancers-15-02342/article_deploy/html/images/cancers-15-02342-g002-550.jpg?1681788893'><p>Figure 2</p></div></script></div></div><div id="article-1125887-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/cancers/cancers-15-02342/article_deploy/html/images/cancers-15-02342-g001-550.jpg?1681788896" title=" <strong>Figure 1</strong><br/> <p>Modified Consort flow diagram. ICD-10: International Classification of Diseases 10, C00-14: malignant neoplasms of lip, oral cavity and pharynx.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/8/2342'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/cancers/cancers-15-02342/article_deploy/html/images/cancers-15-02342-g002-550.jpg?1681788893" title=" <strong>Figure 2</strong><br/> <p>Treatment pathways for cohort 2 (with antibiotics). The left side shows the ten most administered treatments, and the right side shows six lines of treatment (LOT). Extended spectrum penicillins (ESPs).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2072-6694/15/8/2342'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1018479" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 11 pages, 1555 KiB   </span> <a href="/2077-0383/12/1/250/pdf?version=1672293659" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Selective Decontamination of the Digestive Tract in Pancreatic Head Resections—A Propensity Score-Matched Analysis" data-journal="jcm"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2077-0383/12/1/250">Selective Decontamination of the Digestive Tract in Pancreatic Head Resections—A Propensity Score-Matched Analysis</a> <div class="authors"> by <span class="inlineblock "><strong>Olga Radulova-Mauersberger</strong>, </span><span class="inlineblock "><strong>Florian Oehme</strong>, </span><span class="inlineblock "><strong>Alexandra Doerell</strong>, </span><span class="inlineblock "><strong>Laura Frohneberg</strong>, </span><span class="inlineblock "><strong>Sebastian Hempel</strong>, </span><span class="inlineblock "><strong>Jürgen Weitz</strong>, </span><span class="inlineblock "><strong>Thilo Welsch</strong>, </span><span class="inlineblock "><strong>Marius Distler</strong> and </span><span class="inlineblock "><strong>Christian Teske</strong></span> </div> <div class="color-grey-dark"> <em>J. Clin. Med.</em> <b>2023</b>, <em>12</em>(1), 250; <a href="https://doi.org/10.3390/jcm12010250">https://doi.org/10.3390/jcm12010250</a> - 29 Dec 2022 </div> <a href="/2077-0383/12/1/250#metrics">Cited by 2</a> | Viewed by 2141 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> (1) Background: The postoperative morbidity rate after pancreatic head resection remains high, partly due to infectious complications. The primary aim of this study was to analyze the influence of selective decontamination of the digestive tract (SDD) on the postoperative infection rate after pancreatic <a href="#" data-counterslink = "https://www.mdpi.com/2077-0383/12/1/250/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> (1) Background: The postoperative morbidity rate after pancreatic head resection remains high, partly due to infectious complications. The primary aim of this study was to analyze the influence of selective decontamination of the digestive tract (SDD) on the postoperative infection rate after pancreatic surgery. (2) Methods: From January 2019, the standard of care for patients undergoing pancreatic head resections at the Department for Visceral, Thoracic, and Vascular Surgery, University Hospital Dresden was the preoperative oral administration of SDD. The influence of SDD was evaluated for patients operated on between January 2019 and June 2020 in comparison to a propensity score-matched cohort, extracted from an existing database including all pancreatic resections from 2012 to 2018. The primary endpoint of the study was the shift of the bacterial load on the intraoperative bile swab test. The secondary endpoint was the association of SDD with postoperative complications. (3) Results: In total, 200 patients either with SDD (<i>n</i> = 100; 50%) or without SDD (non-SDD, <i>n</i> = 100; 50%) were analyzed. In the patient group without a preoperative biliary stent, 44% (<i>n</i> = 11) of the non-SDD group displayed positive bacterial results, whereas that was the case for only 21.7% (<i>n</i> = 10) in the SDD group (<i>p</i> = 0.05). Particularly, Enterobacter species (spp.) were reduced from 41.2% (<i>n</i> = 14) (non-SDD group) to 23.5% (<i>n</i> = 12) (SDD group) (<i>p</i> = 0.08), and Citrobacter spp. were reduced by 13.7% (<i>p</i> = 0.09) from the non-SDD to the SDD cohort. In patients with a preoperative biliary stent, the Gram-negative Enterobacter spp. were significantly reduced from 52.2% (<i>n</i> = 12) in the non-SDD group to 26.8% (<i>n</i> = 11) in the SDD group (<i>p</i> = 0.04). Similarly, Citrobacter spp. decreased by 20.6% from 30.4% (<i>n</i> = 7) to 9.8% (<i>n</i> = 4) in the non-SDD compared to the SDD group (<i>p</i> = 0.04). In general, deep fluid collection and abscesses occurred more frequently in the non-SDD group (36%; <i>n</i> = 36 vs. 27%; <i>n</i> = 27; <i>p</i> = 0.17). (4) Conclusions: Adoption of SDD before pancreatic head surgery may reduce the bacterial load in bile fluid. SDD administration does not significantly affect the postoperative infectious complication rate after pancreatic head resections. <a href="/2077-0383/12/1/250">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Topic <a href="/topics/8AV677I39Q">Gut Microbiota and Cancer</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2077-0383/12/1/250/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1018479"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1018479"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1018479" data-cycle-prev="#prev1018479" data-cycle-progressive="#images1018479" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1018479-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/jcm/jcm-12-00250/article_deploy/html/images/jcm-12-00250-g001-550.jpg?1672293735" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1018479" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1018479-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-12-00250/article_deploy/html/images/jcm-12-00250-g002-550.jpg?1672293730'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1018479-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/jcm/jcm-12-00250/article_deploy/html/images/jcm-12-00250-g003-550.jpg?1672293733'><p>Figure 3</p></div></script></div></div><div id="article-1018479-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/jcm/jcm-12-00250/article_deploy/html/images/jcm-12-00250-g001-550.jpg?1672293735" title=" <strong>Figure 1</strong><br/> <p>Bacterial differentiation of the intraoperative bile duct smear test in SDD and non-SDD patients is displayed.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/12/1/250'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-12-00250/article_deploy/html/images/jcm-12-00250-g002-550.jpg?1672293730" title=" <strong>Figure 2</strong><br/> <p>Bacterial shift between SDD and non-SDD patients is displayed according to their Gram-staining behavior. Non-SDD patients are set as 100%.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/12/1/250'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/jcm/jcm-12-00250/article_deploy/html/images/jcm-12-00250-g003-550.jpg?1672293733" title=" <strong>Figure 3</strong><br/> <p>Bacterial differentiation from the intraoperative smear test of bile duct in SDD and non-SDD patients with preoperative bile duct stenting is displayed. “*”shows the significant reduction of Enterobacter spp. (<span class="html-italic">p</span> = 0.04) and Citrobacter spp. (<span class="html-italic">p</span> = 0.04) in the SDD group.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2077-0383/12/1/250'>Full article</a></strong> "></a></div> </div> </div> <div class="row footer"> <div class="listing-select-options"> <div class="columns small-12"> <div class="select generic-item"> <a href="#" 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Name</th> <th>Impact Factor</th> <th>CiteScore</th> <th>Launched Year</th> <th>First Decision (median)</th> <th>APC</th> <th></th> </tr> </thead> <tbody> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/cancers"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/cancers-logo-sq.png?8600e93ff98dbf14" alt="" title="Cancers Open Access Journal" border="0" height="70"> <div> Cancers </div> </a> <span style="display: none;">cancers</span> </td> <td> <a href="/journal/cancers/stats"> 4.5 </a> </td> <td> <a href="/journal/cancers/stats"> 8.0 </a> </td> <td> 2009 </td> <td> 16.3 Days </td> <td> CHF 2900 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=23&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/curroncol"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/curroncol-logo-sq.png?8600e93ff98dbf14" alt="" title="Current Oncology Open Access Journal" border="0" height="70"> <div> Current Oncology </div> </a> <span style="display: none;">curroncol</span> </td> <td> <a href="/journal/curroncol/stats"> 2.8 </a> </td> <td> <a href="/journal/curroncol/stats"> 3.3 </a> </td> <td> 1994 </td> <td> 17.6 Days </td> <td> CHF 2200 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=476&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/diseases"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/diseases-logo-sq.png?8600e93ff98dbf14" alt="" title="Diseases Open Access Journal" border="0" height="70"> <div> Diseases </div> </a> <span style="display: none;">diseases</span> </td> <td> <a href="/journal/diseases/stats"> 2.9 </a> </td> <td> <a href="/journal/diseases/stats"> 0.8 </a> </td> <td> 2013 </td> <td> 18.9 Days </td> <td> CHF 1800 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=126&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/jcm"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/jcm-logo-sq.png?6922832c4f546280" alt="" title="JCM Open Access Journal" border="0" height="70"> <div> Journal of Clinical Medicine </div> </a> <span style="display: none;">jcm</span> </td> <td> <a href="/journal/jcm/stats"> 3.0 </a> </td> <td> <a href="/journal/jcm/stats"> 5.7 </a> </td> <td> 2012 </td> <td> 17.3 Days </td> <td> CHF 2600 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=93&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/vaccines"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/vaccines-logo-sq.png?8600e93ff98dbf14" alt="" title="Vaccines Open Access Journal" border="0" height="70"> <div> Vaccines </div> </a> <span style="display: none;">vaccines</span> </td> <td> <a href="/journal/vaccines/stats"> 5.2 </a> </td> <td> <a href="/journal/vaccines/stats"> 8.9 </a> </td> <td> 2013 </td> <td> 17.6 Days </td> <td> CHF 2700 </td> <td> <a class="button button--default button--full-width" href="https://susy.mdpi.com/user/manuscripts/upload?form[journal_id]=76&form[multidisciplinary_topic_id]=1132"> Submit </a> </td> </tr> </tbody> </table> </div> </div> <a class="close-reveal-modal" aria-label="Close"> <i class="material-icons">clear</i> </a> </div> <div id="topic-submit-abstract-modal" class="reveal-modal reveal-modal-new" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 columns"> <h2 style="margin: 0;">Submit your Abstract</h2> </div> <div class="small-12 columns"> <table class="journaltable new tablesorter top-border" border="0" cellpadding="3" cellspacing="0"> <thead> <tr> <th style="width: 250px;">Journal Name</th> <th>Impact Factor</th> <th>CiteScore</th> <th>Launched Year</th> <th>First Decision (median)</th> <th>APC</th> </tr> </thead> <tbody> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/cancers"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/cancers-logo-sq.png?8600e93ff98dbf14" alt="" title="Cancers Open Access Journal" border="0" height="70"> <div> Cancers </div> </a> <span style="display: none;">cancers</span> </td> <td> <a href="/journal/cancers/stats"> 4.5 </a> </td> <td> <a href="/journal/cancers/stats"> 8.0 </a> </td> <td> 2009 </td> <td> 16.3 Days </td> <td> CHF 2900 </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/curroncol"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/curroncol-logo-sq.png?8600e93ff98dbf14" alt="" title="Current Oncology Open Access Journal" border="0" height="70"> <div> Current Oncology </div> </a> <span style="display: none;">curroncol</span> </td> <td> <a href="/journal/curroncol/stats"> 2.8 </a> </td> <td> <a href="/journal/curroncol/stats"> 3.3 </a> </td> <td> 1994 </td> <td> 17.6 Days </td> <td> CHF 2200 </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/diseases"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/diseases-logo-sq.png?8600e93ff98dbf14" alt="" title="Diseases Open Access Journal" border="0" height="70"> <div> Diseases </div> </a> <span style="display: none;">diseases</span> </td> <td> <a href="/journal/diseases/stats"> 2.9 </a> </td> <td> <a href="/journal/diseases/stats"> 0.8 </a> </td> <td> 2013 </td> <td> 18.9 Days </td> <td> CHF 1800 </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/jcm"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/jcm-logo-sq.png?6922832c4f546280" alt="" title="JCM Open Access Journal" border="0" height="70"> <div> Journal of Clinical Medicine </div> </a> <span style="display: none;">jcm</span> </td> <td> <a href="/journal/jcm/stats"> 3.0 </a> </td> <td> <a href="/journal/jcm/stats"> 5.7 </a> </td> <td> 2012 </td> <td> 17.3 Days </td> <td> CHF 2600 </td> </tr> <tr> <td class="journal-name-cell"> <a class="lean" href="/journal/vaccines"> <img class="journal-logo" src="https://pub.mdpi-res.com/img/journals/vaccines-logo-sq.png?8600e93ff98dbf14" alt="" title="Vaccines Open Access Journal" border="0" height="70"> <div> Vaccines </div> </a> <span style="display: none;">vaccines</span> </td> <td> <a href="/journal/vaccines/stats"> 5.2 </a> </td> <td> <a href="/journal/vaccines/stats"> 8.9 </a> </td> <td> 2013 </td> <td> 17.6 Days </td> <td> CHF 2700 </td> </tr> </tbody> </table> </div> </div> <a 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