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Immunological landscape of consensus clusters in colorectal cancer
Recent, large-scale expression–based subtyping has advanced our understanding of the genomic landscape of colorectal cancer (CRC) and resulted in a consensus molecular classification that enables the categorization of most CRC tumors into one of four consensus molecular subtypes (CMS). Currently, ma...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739639/ https://www.ncbi.nlm.nih.gov/pubmed/29285252 http://dx.doi.org/10.18632/oncotarget.22169 |
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author | Karpinski, Pawel Rossowska, Joanna Sasiadek, Maria Malgorzata |
author_facet | Karpinski, Pawel Rossowska, Joanna Sasiadek, Maria Malgorzata |
author_sort | Karpinski, Pawel |
collection | PubMed |
description | Recent, large-scale expression–based subtyping has advanced our understanding of the genomic landscape of colorectal cancer (CRC) and resulted in a consensus molecular classification that enables the categorization of most CRC tumors into one of four consensus molecular subtypes (CMS). Currently, major progress in characterization of immune landscape of tumor-associated microenvironment has been made especially with respect to microsatellite status of CRCs. While these studies profoundly improved the understanding of molecular and immunological profile of CRCs heterogeneity less is known about repertoire of the tumor infiltrating immune cells of each CMS. In order to comprehensively characterize the immune landscape of CRC we re-analyzed a total of 15 CRC genome-wide expression data sets encompassing 1597 tumors and 125 normal adjacent colon tissues. After quality filtering, CRC clusters were discovered using a combination of multiple clustering algorithms and multiple validity metrics. CIBERSORT algorithm was used to compute relative proportions of 22 human leukocyte subpopulations across CRC clusters and normal colon tissue. Subsequently, differential expression specific to tumor epithelial cells was calculated to characterize mechanisms of tumor escape from immune surveillance occurring in particular CRC clusters. Our results not only characterize the common and cluster-specific influx of immune cells into CRCs but also identify several deregulated gene targets that may contribute to improvement of immunotherapeutic strategies in CRC. |
format | Online Article Text |
id | pubmed-5739639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-57396392017-12-28 Immunological landscape of consensus clusters in colorectal cancer Karpinski, Pawel Rossowska, Joanna Sasiadek, Maria Malgorzata Oncotarget Research Paper Recent, large-scale expression–based subtyping has advanced our understanding of the genomic landscape of colorectal cancer (CRC) and resulted in a consensus molecular classification that enables the categorization of most CRC tumors into one of four consensus molecular subtypes (CMS). Currently, major progress in characterization of immune landscape of tumor-associated microenvironment has been made especially with respect to microsatellite status of CRCs. While these studies profoundly improved the understanding of molecular and immunological profile of CRCs heterogeneity less is known about repertoire of the tumor infiltrating immune cells of each CMS. In order to comprehensively characterize the immune landscape of CRC we re-analyzed a total of 15 CRC genome-wide expression data sets encompassing 1597 tumors and 125 normal adjacent colon tissues. After quality filtering, CRC clusters were discovered using a combination of multiple clustering algorithms and multiple validity metrics. CIBERSORT algorithm was used to compute relative proportions of 22 human leukocyte subpopulations across CRC clusters and normal colon tissue. Subsequently, differential expression specific to tumor epithelial cells was calculated to characterize mechanisms of tumor escape from immune surveillance occurring in particular CRC clusters. Our results not only characterize the common and cluster-specific influx of immune cells into CRCs but also identify several deregulated gene targets that may contribute to improvement of immunotherapeutic strategies in CRC. Impact Journals LLC 2017-10-27 /pmc/articles/PMC5739639/ /pubmed/29285252 http://dx.doi.org/10.18632/oncotarget.22169 Text en Copyright: © 2017 Karpinski et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Karpinski, Pawel Rossowska, Joanna Sasiadek, Maria Malgorzata Immunological landscape of consensus clusters in colorectal cancer |
title | Immunological landscape of consensus clusters in colorectal cancer |
title_full | Immunological landscape of consensus clusters in colorectal cancer |
title_fullStr | Immunological landscape of consensus clusters in colorectal cancer |
title_full_unstemmed | Immunological landscape of consensus clusters in colorectal cancer |
title_short | Immunological landscape of consensus clusters in colorectal cancer |
title_sort | immunological landscape of consensus clusters in colorectal cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739639/ https://www.ncbi.nlm.nih.gov/pubmed/29285252 http://dx.doi.org/10.18632/oncotarget.22169 |
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