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Superpixel image segmentation of VISTA expression in colorectal cancer and its relationship to the tumoral microenvironment
Colorectal cancer (CRC) is the third most common cause of cancer related death in the United States (Jasperson et al. in Gastroenterology 138:2044–2058, 10.1053/j.gastro.2010.01.054, 2010). Many studies have explored prognostic factors in CRC. Today, much focus has been placed on the tumor microenvi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408240/ https://www.ncbi.nlm.nih.gov/pubmed/34465822 http://dx.doi.org/10.1038/s41598-021-96417-1 |
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author | Wu, Dongling Hacking, Sean Vitkovski, Taisia Nasim, Mansoor |
author_facet | Wu, Dongling Hacking, Sean Vitkovski, Taisia Nasim, Mansoor |
author_sort | Wu, Dongling |
collection | PubMed |
description | Colorectal cancer (CRC) is the third most common cause of cancer related death in the United States (Jasperson et al. in Gastroenterology 138:2044–2058, 10.1053/j.gastro.2010.01.054, 2010). Many studies have explored prognostic factors in CRC. Today, much focus has been placed on the tumor microenvironment, including different immune cells and the extracellular matrix (ECM). The present study aims to evaluate the role of V-domain immunoglobulin suppressor of T cell activation (VISTA). We utilized QuPath for whole slides image analysis, performing superpixel image segmentation (SIS) on a 226 patient-cohort. High VISTA expression correlated with better disease-free survival (DFS), high tumor infiltrative lymphocyte, microsatellite instability, BRAF mutational status as well as lower tumor stage. High VISTA expression was also associated with mature stromal differentiation (SD). When cohorts were separated based on SD and MMR, only patients with immature SD and microsatellite stability were found to correlate VISTA expression with DFS. Considering raised VISTA expression is associated with improved survival, TILs, mature SD, and MMR in CRC; careful, well-designed clinical trials should be pursued which incorporate the underlying tumoral microenvironment. |
format | Online Article Text |
id | pubmed-8408240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84082402021-09-03 Superpixel image segmentation of VISTA expression in colorectal cancer and its relationship to the tumoral microenvironment Wu, Dongling Hacking, Sean Vitkovski, Taisia Nasim, Mansoor Sci Rep Article Colorectal cancer (CRC) is the third most common cause of cancer related death in the United States (Jasperson et al. in Gastroenterology 138:2044–2058, 10.1053/j.gastro.2010.01.054, 2010). Many studies have explored prognostic factors in CRC. Today, much focus has been placed on the tumor microenvironment, including different immune cells and the extracellular matrix (ECM). The present study aims to evaluate the role of V-domain immunoglobulin suppressor of T cell activation (VISTA). We utilized QuPath for whole slides image analysis, performing superpixel image segmentation (SIS) on a 226 patient-cohort. High VISTA expression correlated with better disease-free survival (DFS), high tumor infiltrative lymphocyte, microsatellite instability, BRAF mutational status as well as lower tumor stage. High VISTA expression was also associated with mature stromal differentiation (SD). When cohorts were separated based on SD and MMR, only patients with immature SD and microsatellite stability were found to correlate VISTA expression with DFS. Considering raised VISTA expression is associated with improved survival, TILs, mature SD, and MMR in CRC; careful, well-designed clinical trials should be pursued which incorporate the underlying tumoral microenvironment. Nature Publishing Group UK 2021-08-31 /pmc/articles/PMC8408240/ /pubmed/34465822 http://dx.doi.org/10.1038/s41598-021-96417-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wu, Dongling Hacking, Sean Vitkovski, Taisia Nasim, Mansoor Superpixel image segmentation of VISTA expression in colorectal cancer and its relationship to the tumoral microenvironment |
title | Superpixel image segmentation of VISTA expression in colorectal cancer and its relationship to the tumoral microenvironment |
title_full | Superpixel image segmentation of VISTA expression in colorectal cancer and its relationship to the tumoral microenvironment |
title_fullStr | Superpixel image segmentation of VISTA expression in colorectal cancer and its relationship to the tumoral microenvironment |
title_full_unstemmed | Superpixel image segmentation of VISTA expression in colorectal cancer and its relationship to the tumoral microenvironment |
title_short | Superpixel image segmentation of VISTA expression in colorectal cancer and its relationship to the tumoral microenvironment |
title_sort | superpixel image segmentation of vista expression in colorectal cancer and its relationship to the tumoral microenvironment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408240/ https://www.ncbi.nlm.nih.gov/pubmed/34465822 http://dx.doi.org/10.1038/s41598-021-96417-1 |
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