Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data

Abstract Genetic heterogeneity and co-occurring driver mutations impact clinical outcomes in blood cancers, but predicting the emergent effect of co-occurring mutations that impact multiple complex and interacting signalling networks is challenging. Here, we used mathematical models to predict the i...

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Bibliographic Details
Published in:Blood Cancer Journal
Main Authors: Richard Norris, John Jones, Erika Mancini, Timothy Chevassut, Fabio A. Simoes, Chris Pepper, Andrea Pepper, Simon Mitchell
Format: Article
Language:English
Published: Nature Publishing Group 2024-07-01
Online Access:https://doi.org/10.1038/s41408-024-01090-y