Author

Oliver M. Cast

University of CambridgeORCID 0000-0002-5880-7726Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Approach:benchmark study· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Martin L. MilleriD· 3 shared Alejandro Jiménez-SáncheziD· 2 shared Aaron M. NewmaniD· 1 shared Aashi Jain· 1 shared Alberto ValdeolivasiD· 1 shared Alexander ScholziD· 1 shared Andrew E. LambiD· 1 shared Andrew J. GentlesiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersBioinformatics

Martin L. MillerORCID

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Author profile →

4 papers

Recent·Most cited

Hedgehog signaling controls cytotoxic T cell migration in the tumour microenvironment.

Chrysa Kapeni, Louise M. O’Brien, Dilyara Sabirova, Oliver M. Cast, Valentina Carbonaro, Stephen Clark-Leonard, Anne Christin Machel, Flavio Beke, Sarah McDonald, Kate M. Fife, Maike de la Roche

This study shows that Hedgehog signaling via Smo regulates CD8 T cell migration into tumors, explaining why Hh inhibitors fail in solid cancers.

Science Immunology · Jul 11, 2025Peer-reviewedImmunology

Community assessment of methods to deconvolve cellular composition from bulk gene expression

Brian S. White, Aurélien de Reyniès, Aaron M. Newman, Joshua J. Waterfall, Andrew E. Lamb, Florent Petitprez, Yating Lin, Rongshan Yu, Martin E. Guerrero-Gimenez, Sergii Domanskyi, Gianni Monaco, Verena Chung, Jineta Banerjee, Daniel S. Derrick, Alberto Valdeolivas, , Andrew J. Gentles

The paper evaluates deconvolution methods for inferring immune infiltration from bulk gene expression using a DREAM Challenge, finding that some community-contributed methods, especially deep learning-based ones, perform well.

Nature Communications · Aug 27, 2024Peer-reviewedBioinformatics

Multi-site clonality analyses uncovers pervasive subclonal heterogeneity and branching evolution across melanoma metastases

Roy Rabbie, Naser Ansari‐Pour, Oliver M. Cast, Doreen Lau, Francis Scott, Sarah Joanne Welsh, Christine Parkinson, Leila Khoja, Luiza Moore, Mark Tullett, Kim Wong, Ingrid Ferreira, Julia M. Martínez Gómez, Mitchell Paul Levesque, Ferdia Aidan Gallagher, , David J. Adams

The paper analyzes whole-genome sequencing data from melanoma metastases to show that branched evolution is common and that subclonal heterogeneity is prevalent in metastatic melanoma.

Nature Communications · Aug 27, 2020Peer-reviewedGenomics

Comprehensive Benchmarking and Integration of Tumour Microenvironment Cell Estimation Methods

Alejandro Jiménez-Sánchez, Oliver M. Cast, Martin L. Miller

This study benchmarks six cell estimation tools and introduces ConsensusTME, which performs consistently well across multiple cancer-related benchmarks.

Cancer Research · Oct 22, 2019Peer-reviewedBioinformatics