{"id":176298,"date":"2026-01-08T09:08:00","date_gmt":"2026-01-08T14:08:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/08\/artificial-intelligence-based-model-identifies-potential-resistance-drivers-to-car-t-cell-therapy-in-mcl\/"},"modified":"2026-01-10T15:00:59","modified_gmt":"2026-01-10T20:00:59","slug":"artificial-intelligence-based-model-identifies-potential-resistance-drivers-to-car-t-cell-therapy-in-mcl","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/08\/artificial-intelligence-based-model-identifies-potential-resistance-drivers-to-car-t-cell-therapy-in-mcl\/","title":{"rendered":"Artificial Intelligence\u2013Based Model Identifies Potential Resistance Drivers to CAR T-Cell Therapy in MCL"},"content":{"rendered":"<p><a href=\"https:\/\/www.onclive.com\/view\/artificial-intelligence-based-model-identifies-potential-resistance-drivers-to-car-t-cell-therapy-in-mcl\">Artificial Intelligence\u2013Based Model Identifies Potential Resistance Drivers to CAR T-Cell Therapy in MCL<\/a><\/p>\n<p><a href=\"https:\/\/www.onclive.com\/view\/artificial-intelligence-based-model-identifies-potential-resistance-drivers-to-car-t-cell-therapy-in-mcl\">https:\/\/www.onclive.com\/view\/artificial-intelligence-based-model-identifies-potential-resistance-drivers-to-car-t-cell-therapy-in-mcl<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-01-08 09:08:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.onclive.com\">www.onclive.com<\/a><\/p>\n<ul>\n<li>\n<p><strong>AI-Based Model Analysis<\/strong>: Artificial intelligence (AI)\u2013based approaches can identify drivers of resistance to CAR T-cell therapies in patients with mantle cell lymphoma (MCL), according to Dr. Fangfang Yan&#8217;s analysis during the 2025 ASH Annual Meeting.<\/p>\n<ul>\n<li>\n<p><strong>Identified Resistance Drivers<\/strong>: The AI model revealed significant overrepresentation of immune-related processes and pinpointed the oncogene TCL1A, as well as the S100A4 and S100A6 genes, as significant contributors to resistance.<\/p>\n<\/li>\n<li>\n<p><strong>Potential Treatment Targets<\/strong>: TCL1A enhances cell survival and impairs apoptosis, while S100A4 and S100A6 are involved in cellular migration and metastasis, suggesting their role in resistance mechanisms.<\/p>\n<\/li>\n<li>\n<p><strong>Future Research Directions<\/strong>: Further studies are ongoing to validate these potential treatment targets which may help reverse resistance to CAR T-cell therapy.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>Implications of Findings<\/strong>: Inhibition of these identified targets may overcome resistance and highlight pathways that support tumor cell growth, offering insights into why some patients develop resistance.<\/p>\n<\/li>\n<li>\n<p><strong>CAR T-Cell Therapy Role in MCL<\/strong>: CAR T-cell therapy is a crucial option for patients with relapsed or refractory MCL, particularly after failed BTK inhibitors, though resistance and treatment beyond progressive therapy remain unmet needs.<\/p>\n<\/li>\n<li>\n<p><strong>AI Innovations in Cancer Research<\/strong>: AI&#8217;s ability to process complex, high-dimensional genomic datasets helps uncover connections and patterns within resistant tumors that traditional methods may miss, contributing to overcoming resistance mechanisms.<\/p>\n<\/li>\n<li>\n<p><strong>AI Method Design<\/strong>: The AI model used in the study was designed to handle patient heterogeneity and gene interactions in resistant tumors, employing virtual experiments to identify key drivers of resistance. <\/p>\n<\/li>\n<\/ul>\n<p>In summary, the potential success of these AI-related findings could significantly affect the treatment of CAR T-cell therapy resistance in MCL.<\/p>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence\u2013Based Model Identifies Potential Resistance Drivers to CAR T-Cell Therapy in MCL https:\/\/www.onclive.com\/view\/artificial-intelligence-based-model-identifies-potential-resistance-drivers-to-car-t-cell-therapy-in-mcl Publish&#8230;<\/p>\n","protected":false},"author":1,"featured_media":176299,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/cdn.sanity.io\/images\/0vv8moc6\/onclive\/c93563c6211363c87198c66c9480ab79429787bb-1280x720.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[20],"class_list":["post-176298","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/176298"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=176298"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/176298\/revisions"}],"predecessor-version":[{"id":176300,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/176298\/revisions\/176300"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/176299"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=176298"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=176298"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=176298"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}