{"id":4000,"date":"2026-06-11T16:32:02","date_gmt":"2026-06-11T14:32:02","guid":{"rendered":"http:\/\/www.isidorolab.com\/public\/?p=4000"},"modified":"2026-06-11T17:18:41","modified_gmt":"2026-06-11T15:18:41","slug":"closing-the-loop-a-dynamic-sample-to-answer-ecosystem-for-vascularized-tumor-modeling-and-real-time-therapies","status":"publish","type":"post","link":"http:\/\/www.isidorolab.com\/public\/index.php\/2026\/06\/11\/closing-the-loop-a-dynamic-sample-to-answer-ecosystem-for-vascularized-tumor-modeling-and-real-time-therapies\/","title":{"rendered":"Closing the loop: A dynamic &#8220;sample-to-answer&#8221; Ecosystem for vascularized tumor modeling and real-time therapies"},"content":{"rendered":"\n<p><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Isidoro+C&amp;cauthor_id=41687769\">Ciro Isidoro<\/a><sup>&nbsp;<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41687769\/#full-view-affiliation-1\">1<\/a><\/sup>,&nbsp;<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Song+YS&amp;cauthor_id=41687769\">Yong Sang Song<\/a><sup>&nbsp;<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41687769\/#full-view-affiliation-2\">2<\/a><\/sup>,&nbsp;<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Dhanasekaran+DN&amp;cauthor_id=41687769\">Danny N Dhanasekaran<\/a><sup>&nbsp;<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41687769\/#full-view-affiliation-3\">3<\/a><\/sup><\/p>\n\n\n\n<ul id=\"full-view-identifiers\" class=\"wp-block-list\">\n<li>PMID:&nbsp;<strong>41687769<\/strong><\/li>\n\n\n\n<li>DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.canlet.2026.218302\" target=\"_blank\" rel=\"noreferrer noopener\">10.1016\/j.canlet.2026.218302<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Introduction<\/h2>\n\n\n\n<p>Advances in patient-derived organoid technologies have significantly improved our ability to model tumor-specific biology and therapeutic response in vitro. However, most current platforms remain limited by incomplete representation of the tumor microenvironment and reliance on static, endpoint-based analytical workflows [1]. Addressing these limitations is essential for improving the translational relevance of organoid-based cancer models. In this context, the study by Ruan et al. introduces an integrated microfluidic platform that enables continuous vascularized tumor modeling coupled with real-time biomarker monitoring [2].<\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"http:\/\/www.isidorolab.com\/public\/wp-content\/uploads\/2026\/06\/Isidoro-Closing-the-Loop-Editorial-Canc-Lett-2026.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Incorporamento di Isidoro - Closing the Loop - Editorial Canc Lett 2026.\"><\/object><a id=\"wp-block-file--media-670d18ac-4098-41f0-ad8a-925eef816bba\" href=\"http:\/\/www.isidorolab.com\/public\/wp-content\/uploads\/2026\/06\/Isidoro-Closing-the-Loop-Editorial-Canc-Lett-2026.pdf\">Isidoro &#8211; Closing the Loop &#8211; Editorial Canc Lett 2026<\/a><a href=\"http:\/\/www.isidorolab.com\/public\/wp-content\/uploads\/2026\/06\/Isidoro-Closing-the-Loop-Editorial-Canc-Lett-2026.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-670d18ac-4098-41f0-ad8a-925eef816bba\">Download<\/a><\/div>\n<div style='text-align:center' class='yasr-auto-insert-visitor'><!--Yasr Visitor Votes Shortcode--><div id='yasr_visitor_votes_5a505aa86b920' class='yasr-visitor-votes'><div class=\"yasr-custom-text-vv-before yasr-custom-text-vv-before-4000\">Clicca per votare questo articolo!<\/div><div id='yasr-vv-second-row-container-5a505aa86b920'\r\n                                        class='yasr-vv-second-row-container'><div id='yasr-visitor-votes-rater-5a505aa86b920'\r\n                                      class='yasr-rater-stars-vv'\r\n                                      data-rater-postid='4000'\r\n                                      data-rating='0'\r\n                                      data-rater-starsize='32'\r\n                                      data-rater-readonly='false'\r\n                                      data-rater-nonce='cdb0cb0a28'\r\n                                      data-issingular='false'\r\n                                    ><\/div><div class=\"yasr-vv-stats-text-container\" id=\"yasr-vv-stats-text-container-5a505aa86b920\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" width=\"20\" height=\"20\"\r\n                                   class=\"yasr-dashicons-visitor-stats\"\r\n                                   data-postid=\"4000\"\r\n                                   id=\"yasr-stats-dashicon-5a505aa86b920\">\r\n                                   <path d=\"M18 18v-16h-4v16h4zM12 18v-11h-4v11h4zM6 18v-8h-4v8h4z\"><\/path>\r\n                               <\/svg><span id=\"yasr-vv-text-container-5a505aa86b920\" class=\"yasr-vv-text-container\">[Total: <span id=\"yasr-vv-votes-number-container-5a505aa86b920\">0<\/span>  Average: <span id=\"yasr-vv-average-container-5a505aa86b920\">0<\/span>]<\/span><\/div><div id='yasr-vv-loader-5a505aa86b920' class='yasr-vv-container-loader'><\/div><\/div><div id='yasr-vv-bottom-container-5a505aa86b920' class='yasr-vv-bottom-container'><\/div><\/div><!--End Yasr Visitor Votes Shortcode--><\/div>","protected":false},"excerpt":{"rendered":"<p>Ciro Isidoro&nbsp;1,&nbsp;Yong Sang Song&nbsp;2,&nbsp;Danny N Dhanasekaran&nbsp;3 Introduction Advances in patient-derived organoid technologies have significantly improved our ability to model tumor-specific biology and therapeutic response in vitro. However, most current platforms remain limited by incomplete representation of the tumor microenvironment and reliance on static, endpoint-based analytical workflows [1]. Addressing these limitations is essential for improving the&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"yasr_overall_rating":0,"yasr_post_is_review":"","yasr_auto_insert_disabled":"","yasr_review_type":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-4000","post","type-post","status-publish","format-standard","hentry","category-senza-categoria"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\r\n<title>Closing the loop: A dynamic &quot;sample-to-answer&quot; Ecosystem for vascularized tumor modeling and real-time therapies - IsidoroLab<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"http:\/\/www.isidorolab.com\/public\/index.php\/2026\/06\/11\/closing-the-loop-a-dynamic-sample-to-answer-ecosystem-for-vascularized-tumor-modeling-and-real-time-therapies\/\" \/>\r\n<meta property=\"og:locale\" content=\"it_IT\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"Closing the loop: A dynamic &quot;sample-to-answer&quot; Ecosystem for vascularized tumor modeling and real-time therapies - IsidoroLab\" \/>\r\n<meta property=\"og:description\" content=\"Ciro Isidoro&nbsp;1,&nbsp;Yong Sang Song&nbsp;2,&nbsp;Danny N Dhanasekaran&nbsp;3 Introduction Advances in patient-derived organoid technologies have significantly improved our ability to model tumor-specific biology and therapeutic response in vitro. 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