Author

Niamh McCawley

Royal College of Surgeons in Ireland

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Research Focus:spatial domain detection· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Anna SturrockiD· 3 shared Batuhan KısakoliD· 3 shared Daniel B. LongleyiD· 3 shared Deborah A. McNamaraiD· 3 shared Elizabeth McDonoughiD· 3 shared Fiona GintyiD· 3 shared Jochen H.M. PrehniD· 3 shared John Patrick BurkeiD· 3 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

Anna SturrockORCID

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Author profile →

3 papers

Recent·Most cited

Cell engulfment defines spatially distinct competitive metabolic niches associated with clinical outcomes in colorectal cancer

Emir Bozkurt, Batuhan Kısakol, Heiko Düßmann, Federico Lucantoni, Anna Sturrock, Mohammadreza Azimi, Sanghee Cho, Elizabeth McDonough, Joana Fay, Tony O’Grady, John P. Burke, Niamh McCawley, Deborah A. McNamara, Daniel B. Longley, Fiona Ginty, Jochen H.M. Prehn

The paper investigates cell engulfment in colorectal cancer, showing it creates competitive metabolic niches linked to clinical outcomes.

Cell Death and Differentiation · Jun 30, 2026Peer-reviewedCancer Biology

A neural network model delivers a highly prognostic protein signature in cancer stem cells that identifies relapse in stage III colorectal cancer patients.

Anna Matveeva, Sanghee Cho, Manuela Salvucci, Marc Sturrock, Joanna Fay, Tony O’Grady, Elizabeth McDonough, Christine Surrette, Jinru Shia, Canan Fırat, Nil Urgancı, Batuhan Kısakol, Emer O’Connell, John P. Burke, Niamh McCawley, , Jochen H.M. Prehn

This paper identifies a five-protein stem cell signature using a deep neural network that predicts relapse in stage III colorectal cancer patients.

bioRxiv · Mar 3, 2026 · PreprintCancer Biology

High-Resolution Spatial Proteomics Characterises Colorectal Cancer Consensus Molecular Subtypes

Batuhan Kısakol, Anna Sturrock, Sanghee Cho, Mohammadreza Azimi, Andreas Ulrich Lindner, Manuela Salvucci, Elizabeth McDonough, Joanna Fay, Tony O’Grady, Niamh McCawley, John Patrick Burke, Deborah A. McNamara, John F. Graf, Simon S. McDade, Daniel B. Longley, , Jochen H.M. Prehn

This study uses high-resolution spatial proteomics to characterize colorectal cancer consensus molecular subtypes at single-cell resolution, revealing subtype-specific immune and metabolic features.

bioRxiv · May 7, 2025 · PreprintCancer Biology