Timothy John Sears on Muck Rack

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Integrated germline and somatic features reveal divergent immune pathways driving ICB response

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By Meghana S. Pagadala, Andrea Castro, Ko-Han Lee, Timothy John Sears
| biorxiv.org
Abstract Immune Checkpoint Blockade (ICB) has revolutionized cancer treatment, however mechanisms determining patient response remain poorly understood. Here we used machine learning to predict ICB response from germline and somatic biomarkers and interpreted the learned model to uncover putative mechanisms driving superior outcomes. Patients with higher T follicular helper infiltrates were robust to defects in the class-I Major Histocompatibility Complex (MHC-I).
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