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The Association between Immune Infiltration and Clinical Phenotypes and Prognosis of Prostate Cancer
BACKGROUND: Some evidences show that immune infiltration is closely related to the clinical outcomes in cancers such as colorectal cancer. However, previous studies have not explained the diversity of cell types that make up the immune response. In particular, although some studies and reviews have...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Genetic Engineering and Biotechnology
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148634/ https://www.ncbi.nlm.nih.gov/pubmed/34056020 http://dx.doi.org/10.30498/IJB.2020.2538 |
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author | Hua, Lin Xia, Hong Zheng, Weiying |
author_facet | Hua, Lin Xia, Hong Zheng, Weiying |
author_sort | Hua, Lin |
collection | PubMed |
description | BACKGROUND: Some evidences show that immune infiltration is closely related to the clinical outcomes in cancers such as colorectal cancer. However, previous studies have not explained the diversity of cell types that make up the immune response. In particular, although some studies and reviews have shown that immunotherapy is important for cancer treatment, few studies have elucidated the relationship between prostate cancer (PCa) phenotype and immune infiltration. OBJECTIVES: In this study, we analyzed whether different types of tumor-infiltrating immune cells would affect the clinical phenotypes and survival of PCa based on a deconvolution algorithm and annotated gene expression profiles. MATERIALS AND METHODS: The 22 subsets of immune cells inferred by CIBERSORT and the infiltration abundance of 6 immune cells calculated by TIMER were used to determine the associations between them and the PCa traits and survival response. In addition, the survival tree models were constructed to classify PCa patients into four subtypes, and the traits and prognosis were compared among these subtypes. RESULTS: As a result, we found that some PCa patients with high death risk lacking immune infiltration were related to the poor prognosis. For the cell subsets studied and subtypes analysis, a low proportion of mast resting cells and T-cells follicular helper exhibited the obvious association with poor outcome. CONCLUSIONS: In summary, our study suggested the differences in the cellular composition of the immune infiltrate in PCa, and these differences might be important determinants for PCa traits and prognosis. |
format | Online Article Text |
id | pubmed-8148634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Institute of Genetic Engineering and Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-81486342021-05-28 The Association between Immune Infiltration and Clinical Phenotypes and Prognosis of Prostate Cancer Hua, Lin Xia, Hong Zheng, Weiying Iran J Biotechnol Research Article BACKGROUND: Some evidences show that immune infiltration is closely related to the clinical outcomes in cancers such as colorectal cancer. However, previous studies have not explained the diversity of cell types that make up the immune response. In particular, although some studies and reviews have shown that immunotherapy is important for cancer treatment, few studies have elucidated the relationship between prostate cancer (PCa) phenotype and immune infiltration. OBJECTIVES: In this study, we analyzed whether different types of tumor-infiltrating immune cells would affect the clinical phenotypes and survival of PCa based on a deconvolution algorithm and annotated gene expression profiles. MATERIALS AND METHODS: The 22 subsets of immune cells inferred by CIBERSORT and the infiltration abundance of 6 immune cells calculated by TIMER were used to determine the associations between them and the PCa traits and survival response. In addition, the survival tree models were constructed to classify PCa patients into four subtypes, and the traits and prognosis were compared among these subtypes. RESULTS: As a result, we found that some PCa patients with high death risk lacking immune infiltration were related to the poor prognosis. For the cell subsets studied and subtypes analysis, a low proportion of mast resting cells and T-cells follicular helper exhibited the obvious association with poor outcome. CONCLUSIONS: In summary, our study suggested the differences in the cellular composition of the immune infiltrate in PCa, and these differences might be important determinants for PCa traits and prognosis. National Institute of Genetic Engineering and Biotechnology 2020-10-01 /pmc/articles/PMC8148634/ /pubmed/34056020 http://dx.doi.org/10.30498/IJB.2020.2538 Text en Copyright: © 2020 The Author(s); Published by Iranian Journal of Biotechnology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, ( http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hua, Lin Xia, Hong Zheng, Weiying The Association between Immune Infiltration and Clinical Phenotypes and Prognosis of Prostate Cancer |
title | The Association between Immune Infiltration and Clinical Phenotypes and Prognosis of Prostate Cancer |
title_full | The Association between Immune Infiltration and Clinical Phenotypes and Prognosis of Prostate Cancer |
title_fullStr | The Association between Immune Infiltration and Clinical Phenotypes and Prognosis of Prostate Cancer |
title_full_unstemmed | The Association between Immune Infiltration and Clinical Phenotypes and Prognosis of Prostate Cancer |
title_short | The Association between Immune Infiltration and Clinical Phenotypes and Prognosis of Prostate Cancer |
title_sort | association between immune infiltration and clinical phenotypes and prognosis of prostate cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148634/ https://www.ncbi.nlm.nih.gov/pubmed/34056020 http://dx.doi.org/10.30498/IJB.2020.2538 |
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