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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...

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Autores principales: Karpinski, Pawel, Rossowska, Joanna, Sasiadek, Maria Malgorzata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
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.
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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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