Abstract
Cellular 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.
Original language | English |
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Article number | 71 |
Number of pages | 10 |
Journal | npj Digital Medicine |
Volume | 3 |
DOIs | |
Publication status | Published - 15 May 2020 |
Keywords
- Colorectal cancer
- Image analysis
- Tumor microenvironment
- Prognosis
- Digital pathology
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Dive into the research topics of 'Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients'. Together they form a unique fingerprint.Datasets
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Immune profiling of the colorectal cancer microenvironment for precision prognostics (thesis data)
Nearchou, I. (Creator) & Caie, P. D. (Supervisor), University of St Andrews, 14 Sept 2024
DOI: 10.17630/ebb18d2b-b2ec-4b57-8c58-c0579d47f657, http://hdl.handle.net/10023/21614
Dataset: Thesis dataset
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