MANIFEST: Multiomic platform for cancer immunotherapy

Kok Haw Jonathan Lim, Zayd Tippu, Pippa G Corrie, Michael Hubank, James Larkin, Trevor D Lawley, Mark Stares, Grant D Stewart, Amy Strange, Stefan N Symeonides, Bernadett Szabados, Nicholas C Turner, Tom Waddell, Santiago Zelenay, Manuel Salto-Tellez, Caroline Dive, Samra Turajlic*, MANIFEST consortium

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

62 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)878-883
Number of pages6
JournalCancer discovery
Volume15
Issue number5
DOIs
Publication statusPublished - 2 May 2025

Fingerprint

Dive into the research topics of 'MANIFEST: Multiomic platform for cancer immunotherapy'. Together they form a unique fingerprint.

Cite this