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dc.contributor.authorNearchou, Ines P.
dc.contributor.authorGwyther, Bethany M.
dc.contributor.authorGeorgiakakis, Elena C. T.
dc.contributor.authorGavriel, Christos
dc.contributor.authorLillard, Kate
dc.contributor.authorKajiwara, Yoshiki
dc.contributor.authorUeno, Hideki
dc.contributor.authorHarrison, David James
dc.contributor.authorCaie, Peter David
dc.identifier.citationNearchou , I P , Gwyther , B M , Georgiakakis , E C T , Gavriel , C , Lillard , K , Kajiwara , Y , Ueno , H , Harrison , D J & Caie , P D 2020 , ' Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients ' , npj Digital Medicine , vol. 3 , 71 .
dc.identifier.otherORCID: /0000-0001-9041-9988/work/74510266
dc.identifier.otherORCID: /0000-0002-0031-9850/work/74510315
dc.identifier.otherORCID: /0000-0002-1863-5413/work/75610531
dc.descriptionThis study was funded by Medical Research Scotland and Indica Labs, Inc., who also provided in-kind resource.en
dc.description.abstractCellular subpopulations within the colorectal tumor microenvironment (TME) include CD3+ and CD8+ lymphocytes, CD68+ and CD163+ macrophages, and tumor buds (TBs), all of which have known prognostic significance in stage II colorectal cancer. However, the prognostic relevance of their spatial interactions remains unknown. Here, by applying automated image analysis and machine learning approaches, we evaluate the prognostic significance of these cellular subpopulations and their spatial interactions. Resultant data, from a training cohort retrospectively collated from Edinburgh, UK hospitals (n = 113), were used to create a combinatorial prognostic model, which identified a subpopulation of patients who exhibit 100% survival over a 5-year follow-up period. The combinatorial model integrated lymphocytic infiltration, the number of lymphocytes within 50-μm proximity to TBs, and the CD68+/CD163+ macrophage ratio. This finding was confirmed on an independent validation cohort, which included patients treated in Japan and Scotland (n = 117). This work shows that by analyzing multiple cellular subpopulations from the complex TME, it is possible to identify patients for whom surgical resection alone may be curative.
dc.relation.ispartofnpj Digital Medicineen
dc.subjectColorectal canceren
dc.subjectImage analysisen
dc.subjectTumor microenvironmenten
dc.subjectDigital pathologyen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectRB Pathologyen
dc.subjectQA76 Computer softwareen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titleSpatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patientsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Cellular Medicine Divisionen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. Centre for Biophotonicsen
dc.description.statusPeer revieweden

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