MANIFEST: Multiomic Platform for Cancer Immunotherapy.

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ID: 281563
2025
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Abstract
Immunotherapy has revolutionized survival outcomes for many patients diagnosed with cancer. However, biomarkers that can reliably distinguish treatment responders from nonresponders, predict potential life-threatening and life-changing drug-induced toxicities, or rationalize treatment choices are still lacking. In response to this unmet clinical need, we introduce Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity, a tumor type-agnostic platform to provide deep profiling of patients receiving immunotherapy that will enable integrative identification of biomarkers and discovery of novel targets using artificial intelligence and machine learning.
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lim2025manifest Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Lim, Kok Haw Jonathan; Tippu, Zayd; Corrie, Pippa G; Hubank, Michael; Larkin, James; Lawley, Trevor D; Stares, Mark; Stewart, Grant D; Strange, Amy; Symeonides, Stefan N; Szabados, Bernadett; Turner, Nicholas C; Waddell, Tom; Zelenay, Santiago; Salto-Tellez, Manuel; Dive, Caroline; Turajlic, Samra
Journal Cancer Discovery
Year 2025
DOI
10.1158/2159-8290.CD-25-0099
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