{"id":83799,"date":"2026-08-27T14:00:19","date_gmt":"2026-08-27T12:00:19","guid":{"rendered":"https:\/\/cri1149.fr\/?post_type=publication&#038;p=83799"},"modified":"2026-08-27T14:15:28","modified_gmt":"2026-08-27T12:15:28","slug":"developing-a-histology-based-artificial-intelligence-biomarker-to-predict-adjuvant-chemotherapy-benefit-in-pancreatic-cancer","status":"publish","type":"publication","link":"https:\/\/cri1149.fr\/en\/publication\/developing-a-histology-based-artificial-intelligence-biomarker-to-predict-adjuvant-chemotherapy-benefit-in-pancreatic-cancer\/","title":{"rendered":"Developing a Histology-Based Artificial Intelligence Biomarker to Predict Adjuvant Chemotherapy Benefit in Pancreatic Cancer"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Abstract<\/h2>\n\n\n\n<p><strong>Purpose:&nbsp;<\/strong>The choice of adjuvant chemotherapy in pancreatic ductal adenocarcinoma (PDAC) is mainly guided by patients&#8217; general condition. We hypothesized that tumor morphology may predict differential treatment benefit and tested whether deep learning applied to histology images could derive a biomarker of relative benefit from gemcitabine (GEM) versus modified FOLFIRINOX (mFOLFIRINOX) in resected PDAC.<\/p>\n\n\n\n<p><strong>Patients and methods:&nbsp;<\/strong>Standard whole-slide images from a retrospective multicentric series of 231 patients who underwent curative-intent pancreatectomy and received adjuvant mFOLFIRINOX (n = 54) or GEM (n = 177) were used to train regimen-specific histology models on disease-free survival (DFS), which were then combined into PANCprAId, a biomarker estimating personalized relative benefit from adjuvant GEM versus mFOLFIRINOX. External validation was performed in the randomized PRODIGE-24\/CCTG PA6 trial (n = 313).<\/p>\n\n\n\n<p><strong>Results:&nbsp;<\/strong>In PRODIGE-24\/CCTG PA6, the treatment-specific histology scores used to construct PANCprAId stratified outcomes among patients treated with GEM (hazard ratio [HR], 1.69 [95% CI, 1.04 to 2.73];&nbsp;<em>P<\/em>&nbsp;= .03) and mFOLFIRINOX (HR, 2.02 [95% CI, 1.4 to 3.0];&nbsp;<em>P<\/em>&nbsp;&lt; .001). When combined into PANCprAId, the biomarker identified subgroups with differential relative benefit from adjuvant GEM versus mFOLFIRINOX, with significant treatment interactions for DFS (interaction&nbsp;<em>P<\/em>&nbsp;= .003) and cancer-specific survival (interaction&nbsp;<em>P<\/em>&nbsp;= .001). Predicted sensitivity to each regimen was associated with distinct epithelial and stromal features.<\/p>\n\n\n\n<p><strong>Conclusion:&nbsp;<\/strong>Histology-based deep learning can derive a predictive biomarker of relative benefit from adjuvant GEM versus mFOLFIRINOX in resected PDAC.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"710\" height=\"1024\" src=\"https:\/\/cri1149.fr\/wp-content\/uploads\/2026\/08\/jco-26-00327f1-710x1024.jpg\" alt=\"\" class=\"wp-image-83805\" srcset=\"https:\/\/cri1149.fr\/wp-content\/uploads\/2026\/08\/jco-26-00327f1-710x1024.jpg 710w, https:\/\/cri1149.fr\/wp-content\/uploads\/2026\/08\/jco-26-00327f1-208x300.jpg 208w, https:\/\/cri1149.fr\/wp-content\/uploads\/2026\/08\/jco-26-00327f1-768x1108.jpg 768w, https:\/\/cri1149.fr\/wp-content\/uploads\/2026\/08\/jco-26-00327f1-1065x1536.jpg 1065w, https:\/\/cri1149.fr\/wp-content\/uploads\/2026\/08\/jco-26-00327f1-1420x2048.jpg 1420w, https:\/\/cri1149.fr\/wp-content\/uploads\/2026\/08\/jco-26-00327f1-1320x1904.jpg 1320w, https:\/\/cri1149.fr\/wp-content\/uploads\/2026\/08\/jco-26-00327f1.jpg 1642w\" sizes=\"auto, (max-width: 710px) 100vw, 710px\" \/><\/figure>\n","protected":false},"featured_media":83805,"template":"","meta":{"_acf_changed":false},"category_publication":[402],"class_list":["post-83799","publication","type-publication","status-publish","has-post-thumbnail","hentry","category_publication-publications-mises-en-avant"],"acf":{"numero_de_publication":"J Clin Oncol.","date_de_publication":"20260727","numero_doi":"10.1200\/JCO-26-00327","equipe":[387],"auteurs-liste":[{"texte_libre":false,"auteur-lien":83372,"auteur-text":""},{"texte_libre":false,"auteur-lien":80527,"auteur-text":""},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Xiaofeng Jiang"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Th\u00e9au Blanchard"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Nicolas Fraunhoffer"},{"texte_libre":false,"auteur-lien":80522,"auteur-text":""},{"texte_libre":false,"auteur-lien":83570,"auteur-text":""},{"texte_libre":false,"auteur-lien":83710,"auteur-text":""},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Asier Rabasco Meneghetti"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Srividhya Sainath"},{"texte_libre":false,"auteur-lien":83351,"auteur-text":""},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Nathalie Colnot"},{"texte_libre":false,"auteur-lien":80518,"auteur-text":""},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Anthony Turpin"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Meher Ben Abdelghani "},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Alice Wei"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Emmanuel Mitry"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Thierry Lecomte"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"James Biagi"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Pascal Artru"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Ludovic Evesque"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Aur\u00e9lien Lambert"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Daniel J Renouf"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Marjorie Mauduit"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Nelson J Dusetti"},{"texte_libre":false,"auteur-lien":13087,"auteur-text":""},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Thierry Conroy"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Jean-Baptiste Bachet"},{"texte_libre":false,"auteur-lien":83292,"auteur-text":""},{"texte_libre":false,"auteur-lien":83594,"auteur-text":""},{"texte_libre":false,"auteur-lien":80514,"auteur-text":""},{"texte_libre":true,"auteur-lien":null,"auteur-text":"Jakob Nikolas Kather"},{"texte_libre":false,"auteur-lien":83549,"auteur-text":""}],"auteurs-manuel":"","liens_externes":[{"url":"https:\/\/pubmed.ncbi.nlm.nih.gov\/42507965\/"}],"liens":null,"paragraphe":"","paragraphe_en":"","documents":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - 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