Marcellus Augustine on Muck Rack

Marcellus Augustine

As seen in: Nature, Cell Press
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Articles

Plasma signals of lung tumor promotion for molecular cancer prevention

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By Tej Pandya, Maria Zagorulya, Michelle Leung, Marcellus Augustine, Lydia Y. Liu, Aino-Maija Leppä, Anthony Griffen, Oleg Blyuss, Chrysante S. Iliakis, Amalie Grenov, Kerstin Haase, Ulysse Baruchel, Tamara Klockner, Miriam Mugabo
| Cell Press Verified
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Subclonal immune evasion in non-small cell lung cancer

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By Krijn K. Dijkstra, Roberto Vendramin, Despoina Karagianni, Maartje Witsen, Felipe Galvez-Cancino, Mark Hill Verified, Kane Foster, Mihaela Angelova, Robert Hynds, David Pearce, Carlos Martinez-Ruiz, James Black, Ariana Huebner, Oriol Pich, Andrew Rowan Verified, Marcellus Augustine, Clare Puttick, David Moore, Sadegh Saghafinia, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Crispin T Hiley, Mariam Jamal-Hanjani, Nicholas McGranahan, Kevin Litchfield, James L. Reading, Benny Chain, Sergio A Quezada, Emile E. Voest, Charles Swanton, Vittorio Barbè, Lydia L. Liu, Joris van de Haar, Antonia Toncheva, Supreet Kaur Bola
| Cell Press Verified
Main text (Cancer Cell 43, 1833–1849; October 13, 2025) This paper identifies subclonal immune escape in non-small cell lung cancer using clonally resolved organoid-immune cell co-cultures. We, the authors of this publication, have identified an error in the code used to process the organoid RNA sequencing (RNA-seq) data for patient 1 in our study.
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Immunotherapy drug target identification using machine learning and patient-derived tumour explant validation

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By Marcellus Augustine, Nuno Rocha Nené, Hongchang Fu, Christopher L. Pinder, Lorena Ligammari, Alexander Simpson, Irene Sanz-Fernández, Krupa Thakkar, Danwen Qian, Evelyn Fitzsimons, Benjamin S. Simpson, Roberto Vendramin, Andrea Castro, Samra Turajlic, Sergio A Quezada, Nicholas McGranahan, Chris Watkins, Charles Swanton, Kevin Litchfield, Heather Niederer
| Nature Verified
Abstract Immunotherapy has revolutionized cancer treatment, yet only a minority of individuals respond clinically, necessitating alternative strategies that can benefit these patients. Novel immuno-oncology targets may achieve this through bypassing resistance mechanisms to standard therapies. We introduce Mining Immunotherapy Drug tArgetS (MIDAS), a multimodal graph neural network system for immuno-oncology target discovery.
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