{"id":61207,"date":"2023-12-05T12:39:54","date_gmt":"2023-12-05T10:39:54","guid":{"rendered":"https:\/\/www.iemn.fr\/?p=61207"},"modified":"2023-12-05T12:39:54","modified_gmt":"2023-12-05T10:39:54","slug":"these-bahram-ahmadian-classification-and-modeling-of-cancer-cells-using-their-biophysical-signature","status":"publish","type":"post","link":"https:\/\/www.iemn.fr\/en\/agenda\/these-bahram-ahmadian-classification-and-modeling-of-cancer-cells-using-their-biophysical-signature.html","title":{"rendered":"THESE : Bahram AHMADIAN \u2013 \u00ab\u00a0Classification and modeling of cancer cells using their biophysical signature\u00a0\u00bb"},"content":{"rendered":"<div id='layer_slider_1'  class='avia-layerslider main_color avia-shadow  avia-builder-el-0  el_before_av_heading  avia-builder-el-first  container_wrap sidebar_right'  style='height: 261px;'  ><div id=\"layerslider_58_le88josk0oxk\" data-ls-slug=\"homepageslider\" class=\"ls-wp-container fitvidsignore ls-selectable\" style=\"width:1140px;height:260px;margin:0 auto;margin-bottom: 0px;\"><div class=\"ls-slide\" data-ls=\"duration:6000;transition2d:5;\"><img loading=\"lazy\" decoding=\"async\" width=\"2600\" height=\"270\" src=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1.jpg\" class=\"ls-bg\" alt=\"\" srcset=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1.jpg 2600w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-300x31.jpg 300w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-768x80.jpg 768w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-1030x107.jpg 1030w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-1500x156.jpg 1500w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-705x73.jpg 705w\" sizes=\"auto, (max-width: 2600px) 100vw, 2600px\" \/><ls-layer style=\"font-size:14px;text-align:left;font-style:normal;text-decoration:none;text-transform:none;font-weight:700;letter-spacing:0px;border-style:solid;border-color:#000;background-position:0% 0%;background-repeat:no-repeat;width:180px;height:30px;left:0px;top:231px;line-height:32px;color:#ffffff;border-radius:6px 6px 6px 6px;padding-left:50px;background-color:rgba(0, 0, 0, 0.57);\" class=\"ls-l ls-ib-icon ls-text-layer\" data-ls=\"minfontsize:0;minmobilefontsize:0;\"><i class=\"fa fa-quote-right\" style=\"color:#ffffff;margin-right:0.8em;font-size:1em;transform:translateY( -0.125em );\"><\/i>ACTUALITES<\/ls-layer><\/div><\/div><\/div><div id='after_layer_slider_1'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-61207'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lps7cwqd-b8a8e8b69e675e50ad26b061af7cdf2d\">\n#top .av-special-heading.av-lps7cwqd-b8a8e8b69e675e50ad26b061af7cdf2d{\nmargin:0 0 10px 0;\npadding-bottom:4px;\n}\nbody .av-special-heading.av-lps7cwqd-b8a8e8b69e675e50ad26b061af7cdf2d .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-lps7cwqd-b8a8e8b69e675e50ad26b061af7cdf2d .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-lps7cwqd-b8a8e8b69e675e50ad26b061af7cdf2d av-special-heading-h2  avia-builder-el-1  el_after_av_layerslider  el_before_av_hr  avia-builder-el-first'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >THESE : Bahram AHMADIAN &#8211; \u00ab\u00a0Classification and modeling of cancer cells using their biophysical signature<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-18u73nj-dad6a947580930e400fc42ba200e80f1\">\n#top .hr.av-18u73nj-dad6a947580930e400fc42ba200e80f1{\nmargin-top:5px;\nmargin-bottom:5px;\n}\n.hr.av-18u73nj-dad6a947580930e400fc42ba200e80f1 .hr-inner{\nwidth:100%;\n}\n<\/style>\n<div  class='hr av-18u73nj-dad6a947580930e400fc42ba200e80f1 hr-custom  avia-builder-el-2  el_after_av_heading  el_before_av_textblock  hr-left hr-icon-no'><span class='hr-inner inner-border-av-border-thin'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<section  class='av_textblock_section av-jriy64i8-2f4600354c0449b610997916bbd9b6bc'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" >\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-13ewzjw-68e036126b913e5028f77311dc66b825\">\n.av_font_icon.av-13ewzjw-68e036126b913e5028f77311dc66b825{\ncolor:#bfbfbf;\nborder-color:#bfbfbf;\n}\n.av_font_icon.av-13ewzjw-68e036126b913e5028f77311dc66b825 .av-icon-char{\nfont-size:60px;\nline-height:60px;\n}\n<\/style>\n<span  class='av_font_icon av-13ewzjw-68e036126b913e5028f77311dc66b825 avia_animate_when_visible av-icon-style- avia-icon-pos-left avia-icon-animate'><span class='av-icon-char' aria-hidden='true' data-av_icon='\ue8c9' data-av_iconfont='entypo-fontello' ><\/span><\/span>\n<p>THESE : Bahram AHMADIAN &#8211;<\/p>\n<p><strong>Mardi 11 D\u00e9cembre 2023 \u00e0 11h00<br \/>\n<\/strong>Amphitheatre of the IEMN-Laboratoire central - Villeneuve d'Ascq<\/p>\n<\/div><\/section>\n<section  class='av_textblock_section av-jtefqx33-628129dba2299b2ecd65ebfc92eac29d'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><div  class='hr av-kjh3zw-4dff888f744b728a1aca9b3a0971493a hr-default  avia-builder-el-6  avia-builder-el-no-sibling'><span class='hr-inner'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<h5><strong><span style=\"color: #800000;\">Jury :<\/span><\/strong><\/h5>\n<p><strong><span style=\"color: #800000;\"><br \/>\n<\/span><\/strong><u>Rapporteurs:<br \/>\n<\/u>Dr. Anne-Virginie SALSAC, Directrice de recherche, CNRS-BMBI<br \/>\nDr. Beno\u00eet CHARLOT, Directeur de recherche, CNRS-IES<\/p>\n<div><u>Examinateurs:\u00a0<\/u><\/div>\n<div>Dr. Claude VERDIER, Directeur de recherche, CNRS-LIPhy<br \/>\nPr. Fabrizio CLERI, Professeur des universit\u00e9s, IEMN Universit\u00e9 de Lille<\/div>\n<div><u>Invit\u00e9s:<\/u><\/div>\n<div>Pr. Dominique COLLARD, Directeur de recherche, LIMMS\/CNRSIIS, The University of Tokyo<br \/>\nDr. Chann LAGADEC, Charg\u00e9 de recherche, INSERM-CANTHER<\/div>\n<p><u>Encadrant:<br \/>\n<\/u>Dr. Hua CAO, Enseignant-chercheur, JUNIA<\/p>\n<div><u>Directeur:<\/u><\/div>\n<div>Dr. Mehmet \u00c7agatay TARHAN, Enseignant-chercheur, IEMN\/JUNIA<\/div>\n<h5><strong><span style=\"color: #800000;\">\u00a0<\/span><\/strong><\/h5>\n<h5>Summary:<\/h5>\n<p>La biopsie liquide, terme d\u00e9signant l&rsquo;utilisation du sang p\u00e9riph\u00e9rique comme source de diagnostic du cancer, attire l&rsquo;attention depuis son introduction. Cette technique peu invasive cible des \u00e9chantillons biologiques en tant que signatures tumorales dans le sang, par exemple les cellules tumorales circulantes (CTC). Comme les CTC subissent diverses contraintes m\u00e9caniques au cours du processus de m\u00e9tastase, par exemple l&rsquo;intravasation et l&rsquo;extravasation, l&rsquo;\u00e9tude de la r\u00e9ponse de la cellule et de ses \u00e9l\u00e9ments subcellulaires sous diff\u00e9rentes stimulations m\u00e9caniques permet de d\u00e9velopper une m\u00e9thode fiable et pratique pour des applications cliniques telles que le diagnostic pr\u00e9coce, l&rsquo;\u00e9valuation de la th\u00e9rapie et le suivi de la maladie. J&rsquo;ai d\u00e9velopp\u00e9 une m\u00e9thode combinant la technologie MEMS, l&rsquo;intelligence artificielle (IA), l&rsquo;imagerie confocale et la mod\u00e9lisation par \u00e9l\u00e9ments finis pour r\u00e9pondre aux exigences de l&rsquo;\u00e9tude du lien entre les caract\u00e9ristiques m\u00e9caniques et le potentiel m\u00e9tastatique d&rsquo;une cellule.<\/p>\n<p>Les premi\u00e8res recherches ont port\u00e9 sur la caract\u00e9risation m\u00e9canique de six lign\u00e9es cellulaires distinctes de cancer du sein pr\u00e9sentant des potentiels m\u00e9tastatiques variables. Elles ont d\u00e9montr\u00e9 un taux de r\u00e9ussite probant de 94 % dans la cat\u00e9gorisation des cellules comme canc\u00e9reuses ou non canc\u00e9reuses sur la base des signatures biophysiques. Une analyse plus nuanc\u00e9e a permis d&rsquo;affiner cette classification en groupes faiblement m\u00e9tastatiques, fortement m\u00e9tastatiques et non canc\u00e9reux, avec un taux de r\u00e9ussite sup\u00e9rieur \u00e0 80 %. Ces r\u00e9sultats soulignent l&rsquo;efficacit\u00e9 des propri\u00e9t\u00e9s biophysiques en tant que discriminants du potentiel m\u00e9tastatique des cellules canc\u00e9reuses. L&rsquo;int\u00e9gration des pinces MEMS \u00e0 la microscopie confocale permet la visualisation en temps r\u00e9el des \u00e9l\u00e9ments subcellulaires en m\u00eame temps que la caract\u00e9risation m\u00e9canique, ce qui facilite l&rsquo;\u00e9tablissement d&rsquo;un lien direct entre les propri\u00e9t\u00e9s m\u00e9caniques et les \u00e9l\u00e9ments subcellulaires, fournissant ainsi des informations pr\u00e9cieuses sur le comportement dynamique des cellules canc\u00e9reuses individuelles. Dans un dernier temps, les informations combin\u00e9es sur les cellules ont \u00e9t\u00e9 utilis\u00e9es pour d\u00e9velopper un mod\u00e8le d&rsquo;\u00e9l\u00e9ments finis sp\u00e9cifique \u00e0 la cellule. Ce mod\u00e8le permet une analyse approfondie des \u00e9l\u00e9ments subcellulaires, offrant un moyen rapide et rentable de comprendre les r\u00e9ponses cellulaires sans avoir recours \u00e0 des \u00e9tapes biologiques fastidieuses.<\/p>\n<h5>Abstract:<\/h5>\n<p>Liquid biopsy, the term for\u00a0using peripheral blood as a source to diagnose cancer, has been attracting\u00a0attention since it was first introduced. This minimally invasive technique\u00a0targets\u00a0biological samples as tumor\u00a0signatures\u00a0in the blood, e.g., circulating\u00a0tumor cells (CTCs). As CTCs go through various mechanical stresses during the\u00a0metastasis process, e.g.,\u00a0intravasation and extravasation, investigating the\u00a0response of the cell and its subcellular elements under different mechanical\u00a0stimulation helps develop a reliable and practical\u00a0method for clinical\u00a0applications such as early diagnosis, therapy assessment, and disease\u00a0monitoring. I developed a method combining MEMS technology, artificial\u00a0intelligence (AI),\u00a0confocal imaging, and finite element modeling to fulfill the\u00a0requirements for investigating the link between the mechanical characteristics\u00a0and the metastatic potential of a cell.<\/p>\n<p>Initial investigations involved the mechanical characterization of\u00a0six distinct breast cancer cell lines with varying metastatic potentials, demonstrating\u00a0a compelling 94% success rate in\u00a0categorizing cells as cancerous or\u00a0non-cancerous based on biophysical signatures. A more nuanced analysis refined\u00a0this classification into low metastatic, high metastatic, and non-cancer\u00a0groups, achieving a\u00a0success\u00a0rate exceeding 80%. These findings underscore the\u00a0efficacy of biophysical properties as discriminators of cancer cell metastatic\u00a0potential.\u00a0Integrating MEMS tweezers with confocal microscopy enables real-time\u00a0visualization of subcellular elements concurrent with mechanical\u00a0characterization, which facilitates a direct link\u00a0between mechanical properties\u00a0and subcellular elements, providing valuable insights into the dynamic behavior\u00a0of individual cancer cells. As the last step, the combined information\u00a0on cells\u00a0was used to develop a cell-specific finite element model. This model allows for\u00a0an in-depth analysis of subcellular elements, offering a rapid and\u00a0cost-effective means of\u00a0understanding cellular responses without recourse to\u00a0cumbersome biological steps.<\/p>\n<\/div><\/section>","protected":false},"excerpt":{"rendered":"","protected":false},"author":20,"featured_media":61209,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[65,87,84,187,318],"tags":[],"class_list":["post-61207","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agenda","category-agenda-en","category-agenda-en-en","category-annonces-these","category-these-2023"],"_links":{"self":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/61207","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/comments?post=61207"}],"version-history":[{"count":0,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/61207\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media\/61209"}],"wp:attachment":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media?parent=61207"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/categories?post=61207"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/tags?post=61207"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}