Show simple item record

dc.contributor.authorEhsani, Rezvan
dc.contributor.authorJonassen, Inge
dc.contributor.authorAkslen, Lars Andreas
dc.contributor.authorKleftogiannis, Dimitrios
dc.description.abstractMotivation Recent advances in highly multiplexed imaging have provided unprecedented insights into the complex cellular organization of tissues, with many applications in translational medicine. However, downstream analyses of multiplexed imaging data face several technical limitations, and although some computational methods and bioinformatics tools are available, deciphering the complex spatial organization of cellular ecosystems remains a challenging problem. Results To mitigate this problem, we develop a novel computational tool, LOCATOR (anaLysis Of CAncer Tissue micrOenviRonment), for spatial analysis of cancer tissue microenvironments using data acquired from mass cytometry imaging technologies. LOCATOR introduces a graph-based representation of tissue images to describe features of the cellular organization and deploys downstream analysis and visualization utilities that can be used for data-driven patient-risk stratification. Our case studies using mass cytometry imaging data from two well-annotated breast cancer cohorts re-confirmed that the spatial organization of the tumour-immune microenvironment is strongly associated with the clinical outcome in breast cancer. In addition, we report interesting potential associations between the spatial organization of macrophages and patients’ survival. Our work introduces an automated and versatile analysis tool for mass cytometry imaging data with many applications in future cancer research projects.en_US
dc.publisherOxford University Pressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleLOCATOR: feature extraction and spatial analysis of the cancer tissue microenvironment using mass cytometry imaging technologiesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.source.journalBioinformatics Advancesen_US
dc.relation.projectKreftforeningen: 223311en_US
dc.relation.projectNorges forskningsråd: 223250en_US
dc.identifier.citationBioinformatics Advances. 2023, 3 (1), vbad146.en_US

Files in this item


This item appears in the following Collection(s)

Show simple item record

Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal