{"id":62624,"date":"2022-08-10T15:22:20","date_gmt":"2022-08-10T13:22:20","guid":{"rendered":"https:\/\/cri1149.fr\/?post_type=publications&#038;p=62624"},"modified":"2025-09-11T16:47:59","modified_gmt":"2025-09-11T14:47:59","slug":"establishment-of-a-pancreatic-adenocarcinoma-molecular-gradient-pamg-that-predicts-the-clinical-outcome-of-pancreatic-cancer","status":"publish","type":"publication","link":"https:\/\/cri1149.fr\/en\/publication\/establishment-of-a-pancreatic-adenocarcinoma-molecular-gradient-pamg-that-predicts-the-clinical-outcome-of-pancreatic-cancer\/","title":{"rendered":"Establishment of a pancreatic adenocarcinoma molecular gradient (PAMG) that predicts the clinical outcome of pancreatic cancer"},"content":{"rendered":"","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"category_publication":[],"class_list":["post-62624","publication","type-publication","status-publish","hentry"],"acf":{"numero_de_publication":"EBioMedicine.","date_de_publication":"20200703","numero_doi":"","equipe":[237],"auteurs-liste":[{"texte_libre":false,"auteur-lien":47152,"auteur-text":""},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Yuna Blum[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Pauline Duconseil[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Charles Vanbrugghe[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Nicolas Brandone[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Flora Poizat[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Julie Roques[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Martin Bigonnet[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Odile Gayet[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Marion Rubis[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Nabila Elarouci[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Lucile Armenoult[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Mira Ayadi[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Aur\u00e9lien de Reyni\u00e8s[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Marc Giovannini[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Philippe Grandval[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Stephane Garcia[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Cindy Canivet[:]"},{"texte_libre":false,"auteur-lien":13055,"auteur-text":""},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Barbara Bournet[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Louis Buscail[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]BACAP Consortium[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Vincent Moutardier[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Marine Gilabert[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Juan Iovanna[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:en]Nelson Dusetti[:]"}],"auteurs-manuel":"","liens_externes":null,"liens":[{"lien":"https:\/\/www.thelancet.com\/journals\/ebiom\/article\/PIIS2352-3964(20)30233-4\/fulltext"}],"paragraphe":"[:en]<h2 id=\"seccesectitle0001\" class=\"top\" style=\"text-align: justify;\" tabindex=\"0\" data-left-hand-nav=\"Abstract\"><span class=\"top__text\">Abstract<\/span><\/h2>\r\n<div class=\"section-paragraph\">\r\n<h3 style=\"text-align: justify;\">Background<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">A significant gap in pancreatic ductal adenocarcinoma (PDAC) patient's care is the lack of molecular parameters characterizing tumours and allowing a personalized treatment.<\/div>\r\n<h3 style=\"text-align: justify;\">Methods<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">Patient-derived xenografts (PDX) were obtained from 76 consecutive PDAC and classified according to their histology into five groups. A PDAC molecular gradient (PAMG) was constructed from PDX transcriptomes recapitulating the five histological groups along a continuous gradient. The prognostic and predictive value for PMAG was evaluated in: i\/ two independent series (<em>n<\/em>\u00a0=\u00a0598) of resected tumours; ii\/ 60 advanced tumours obtained by diagnostic EUS-guided biopsy needle flushing and iii\/ on 28 biopsies from mFOLFIRINOX treated metastatic tumours.<\/div>\r\n<section id=\"related-section\">\r\n<div id=\"related-message-box\" class=\"section-paragraph\">\r\n<p id=\"related-message-text\">\u2022\u00a0<a id=\"related-message-link\" href=\"https:\/\/www.thelancet.com\/journals\/ebiom\/article\/PIIS2352-3964(20)30233-4\/fulltext#section-3d6acba1-acea-4be2-8dc9-b7e14e5b6583\">View related content for this article<\/a><\/p>\r\n<\/div>\r\n<\/section>\r\n<h3 style=\"text-align: justify;\">Findings<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">A unique transcriptomic signature (PAGM) was generated with significant and independent prognostic value. PAMG significantly improves the characterization of PDAC heterogeneity compared to non-overlapping classifications as validated in 4 independent series of tumours (e.g. 308 consecutive resected PDAC, uHR=0.321 95% CI [0.207\u20130.5] and 60 locally-advanced or metastatic PDAC, uHR=0.308 95% CI [0.113\u20130.836]). The PAMG signature is also associated with progression under mFOLFIRINOX treatment (Pearson correlation to tumour response: -0.67,\u00a0<em>p<\/em>-value &lt; 0.001).<\/div>\r\n<h3 style=\"text-align: justify;\">Interpretation<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">PAMG unify all PDAC pre-existing classifications inducing a shift in the actual paradigm of binary classifications towards a better characterization in a gradient.<\/div>\r\n<h3 style=\"text-align: justify;\">Funding<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">Project funding was provided by INCa (Grants number 2018\u2013078 and 2018\u2013079, BACAP BCB INCa_6294), Canceropole PACA, DGOS (labellisation SIRIC), Amidex Foundation, Fondation de France, INSERM and Ligue Contre le Cancer.<\/div>\r\n<\/div>[:]","paragraphe_en":"[:en]<h2 id=\"seccesectitle0001\" class=\"top\" style=\"text-align: justify;\" tabindex=\"0\" data-left-hand-nav=\"Abstract\"><span class=\"top__text\">Abstract<\/span><\/h2>\r\n<div class=\"section-paragraph\">\r\n<h3 style=\"text-align: justify;\">Background<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">A significant gap in pancreatic ductal adenocarcinoma (PDAC) patient's care is the lack of molecular parameters characterizing tumours and allowing a personalized treatment.<\/div>\r\n<h3 style=\"text-align: justify;\">Methods<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">Patient-derived xenografts (PDX) were obtained from 76 consecutive PDAC and classified according to their histology into five groups. A PDAC molecular gradient (PAMG) was constructed from PDX transcriptomes recapitulating the five histological groups along a continuous gradient. The prognostic and predictive value for PMAG was evaluated in: i\/ two independent series (<em>n<\/em>\u00a0=\u00a0598) of resected tumours; ii\/ 60 advanced tumours obtained by diagnostic EUS-guided biopsy needle flushing and iii\/ on 28 biopsies from mFOLFIRINOX treated metastatic tumours.<\/div>\r\n<section id=\"related-section\">\r\n<div id=\"related-message-box\" class=\"section-paragraph\">\r\n<p id=\"related-message-text\">\u2022\u00a0<a id=\"related-message-link\" href=\"https:\/\/www.thelancet.com\/journals\/ebiom\/article\/PIIS2352-3964(20)30233-4\/fulltext#section-3d6acba1-acea-4be2-8dc9-b7e14e5b6583\">View related content for this article<\/a><\/p>\r\n<\/div>\r\n<\/section>\r\n<h3 style=\"text-align: justify;\">Findings<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">A unique transcriptomic signature (PAGM) was generated with significant and independent prognostic value. PAMG significantly improves the characterization of PDAC heterogeneity compared to non-overlapping classifications as validated in 4 independent series of tumours (e.g. 308 consecutive resected PDAC, uHR=0.321 95% CI [0.207\u20130.5] and 60 locally-advanced or metastatic PDAC, uHR=0.308 95% CI [0.113\u20130.836]). The PAMG signature is also associated with progression under mFOLFIRINOX treatment (Pearson correlation to tumour response: -0.67,\u00a0<em>p<\/em>-value &lt; 0.001).<\/div>\r\n<h3 style=\"text-align: justify;\">Interpretation<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">PAMG unify all PDAC pre-existing classifications inducing a shift in the actual paradigm of binary classifications towards a better characterization in a gradient.<\/div>\r\n<h3 style=\"text-align: justify;\">Funding<\/h3>\r\n<div class=\"section-paragraph\" style=\"text-align: justify;\">Project funding was provided by INCa (Grants number 2018\u2013078 and 2018\u2013079, BACAP BCB INCa_6294), Canceropole PACA, DGOS (labellisation SIRIC), Amidex Foundation, Fondation de France, INSERM and Ligue Contre le Cancer.<\/div>\r\n<\/div>[:]","documents":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Establishment of a pancreatic adenocarcinoma molecular gradient (PAMG) that predicts the clinical outcome of pancreatic cancer - 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