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Chris Barnes on Muck Rack

Chris Barnes

As seen in: Nature, Wiley Online Library, MDPI, Royal Society of Chemistry, BioRxiv, Medical Journal of Australia (MJA), Lymphoma Hub, Dispatchist
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Articles

Tafasitamab in R/R DLBCL: Real-world outcomes, and maintenance of CD19 expression

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By Suzanna de Barra, Dylan Barrett, Chris Barnes
| Lymphoma Hub
All content on this site is intended for healthcare professionals only. By acknowledging this message and accessing the information on this website you are confirming that you are a Healthcare Professional. If you are a patient or carer, please visit the Lymphoma Coalition. TRANSLATE The lym Hub website uses a third-party service provided by Google that dynamically translates web content.
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Fluctuating DNA methylation tracks cancer evolution at clinical scale - Nature

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By Calum Gabbutt, Martí Duran-Ferrer, Heather Grant, Diego Mallo, Ferran Nadeu Verified, Jacob Househam, Neus Villamor, Madlen Müller, Olga Krali, Jessica Nordlund, Thorsten Zenz, Ivo Gut, Elias Campo, Chris Barnes, Darryl Shibata, José I. Martín-Subero
| Nature Verified
Abstract Cancer development and response to treatment are evolutionary processes1,2, but characterizing evolutionary dynamics at a clinically meaningful scale has remained challenging3. Here we develop a new methodology called EVOFLUx, based on natural DNA methylation barcodes fluctuating over time4, that quantitatively infers evolutionary dynamics using only a bulk tumour methylation profile as input.
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Quantitative measurement of phenotype dynamics during cancer drug resistance evolution using genetic barcoding - Nature Communications

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By Maximilian Mossner, Calum Gabbutt, Chris Barnes, Ann-Marie Baker, Andrea Sottoriva, Richard Nichols
| Nature Verified
Abstract Cancer treatment frequently fails due to the evolution of drug-resistant cell phenotypes driven by genetic or non-genetic changes. The origin, timing, and rate of spread of these adaptations are critical for understanding drug resistance mechanisms but remain challenging to observe directly. We present a mathematical framework to infer drug resistance dynamics from genetic lineage tracing and population size data without direct measurement of resistance phenotypes.
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