Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients

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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ines P. Nearchou, Bethany M. Gwyther, Elena C. T. Georgiakakis, Christos G. Gavriel, Kate Lillard, Yoshiki Kajiwara, Hideki Ueno, David J. Harrison, Peter D. Caie
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/b091618682f248ec9f3158fc6819a836
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b091618682f248ec9f3158fc6819a836
record_format	dspace
spelling	oai:doaj.org-article:b091618682f248ec9f3158fc6819a8362021-12-02T15:42:59ZSpatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients10.1038/s41746-020-0275-x2398-6352https://doaj.org/article/b091618682f248ec9f3158fc6819a8362020-05-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0275-xhttps://doaj.org/toc/2398-6352Abstract 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.Ines P. NearchouBethany M. GwytherElena C. T. GeorgiakakisChristos G. GavrielKate LillardYoshiki KajiwaraHideki UenoDavid J. HarrisonPeter D. CaieNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Ines P. Nearchou Bethany M. Gwyther Elena C. T. Georgiakakis Christos G. Gavriel Kate Lillard Yoshiki Kajiwara Hideki Ueno David J. Harrison Peter D. Caie Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients
description	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.
format	article
author	Ines P. Nearchou Bethany M. Gwyther Elena C. T. Georgiakakis Christos G. Gavriel Kate Lillard Yoshiki Kajiwara Hideki Ueno David J. Harrison Peter D. Caie
author_facet	Ines P. Nearchou Bethany M. Gwyther Elena C. T. Georgiakakis Christos G. Gavriel Kate Lillard Yoshiki Kajiwara Hideki Ueno David J. Harrison Peter D. Caie
author_sort	Ines P. Nearchou
title	Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients
title_short	Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients
title_full	Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients
title_fullStr	Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients
title_full_unstemmed	Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients
title_sort	spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage ii patients
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/b091618682f248ec9f3158fc6819a836
work_keys_str_mv	AT inespnearchou spatialimmuneprofilingofthecolorectaltumormicroenvironmentpredictsgoodoutcomeinstageiipatients AT bethanymgwyther spatialimmuneprofilingofthecolorectaltumormicroenvironmentpredictsgoodoutcomeinstageiipatients AT elenactgeorgiakakis spatialimmuneprofilingofthecolorectaltumormicroenvironmentpredictsgoodoutcomeinstageiipatients AT christosggavriel spatialimmuneprofilingofthecolorectaltumormicroenvironmentpredictsgoodoutcomeinstageiipatients AT katelillard spatialimmuneprofilingofthecolorectaltumormicroenvironmentpredictsgoodoutcomeinstageiipatients AT yoshikikajiwara spatialimmuneprofilingofthecolorectaltumormicroenvironmentpredictsgoodoutcomeinstageiipatients AT hidekiueno spatialimmuneprofilingofthecolorectaltumormicroenvironmentpredictsgoodoutcomeinstageiipatients AT davidjharrison spatialimmuneprofilingofthecolorectaltumormicroenvironmentpredictsgoodoutcomeinstageiipatients AT peterdcaie spatialimmuneprofilingofthecolorectaltumormicroenvironmentpredictsgoodoutcomeinstageiipatients
_version_	1718385829341036544

Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients

Ejemplares similares