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Individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (IRGPs)
Increasingly attention is being given to immune molecules in pancreatic cancer. The purpose of this study was to understand the potential clinical application of immune-regulated genes (IRGs) in the stratification of prognosis and to facilitate the development of personalized prognostic information...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806356/ https://www.ncbi.nlm.nih.gov/pubmed/33393862 http://dx.doi.org/10.1080/21655979.2020.1860493 |
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author | Li, Yecheng Yao, Pingan Zhao, Kui Ye, Zhenyu Zhang, Haobo Cao, Jianping Zhang, Shuyu Xing, Chungen |
author_facet | Li, Yecheng Yao, Pingan Zhao, Kui Ye, Zhenyu Zhang, Haobo Cao, Jianping Zhang, Shuyu Xing, Chungen |
author_sort | Li, Yecheng |
collection | PubMed |
description | Increasingly attention is being given to immune molecules in pancreatic cancer. The purpose of this study was to understand the potential clinical application of immune-regulated genes (IRGs) in the stratification of prognosis and to facilitate the development of personalized prognostic information for pancreatic cancer patients. We systematically used public data to comprehensively analyze immune-regulated gene pair (IRGP) expression profiles and clinical data. In our study, IRGP signature was identified to predict the overall survival (OS) of pancreatic cancer patients. We suggested that immune genes are enriched in different risk groups. In the high-risk group, M1 macrophages and resting NK cells were significantly enriched, while the percentages of naïve B cells, resting dendritic cells, CD8 T cells and regulatory T cells (Tregs) were significantly higher in the low-risk group, and we verified these results with immunohistochemical experiments. Gene ontology (GO) analysis confirmed that the IRGP index (IRGPI) signature genes in the cohort were mostly party to sensory perception of a chemical stimulus and the adaptive immune response. The identification of these pathways provides a basis for studying the molecular mechanisms of IRGPI signaling to predict the prognosis of pancreatic cancer. Our study effectively constructed a robust IRGP signature with prognostic value for pancreatic cancer, presenting a conceivable method for deciding on a preoperative treatment. |
format | Online Article Text |
id | pubmed-8806356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-88063562022-02-02 Individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (IRGPs) Li, Yecheng Yao, Pingan Zhao, Kui Ye, Zhenyu Zhang, Haobo Cao, Jianping Zhang, Shuyu Xing, Chungen Bioengineered Research Paper Increasingly attention is being given to immune molecules in pancreatic cancer. The purpose of this study was to understand the potential clinical application of immune-regulated genes (IRGs) in the stratification of prognosis and to facilitate the development of personalized prognostic information for pancreatic cancer patients. We systematically used public data to comprehensively analyze immune-regulated gene pair (IRGP) expression profiles and clinical data. In our study, IRGP signature was identified to predict the overall survival (OS) of pancreatic cancer patients. We suggested that immune genes are enriched in different risk groups. In the high-risk group, M1 macrophages and resting NK cells were significantly enriched, while the percentages of naïve B cells, resting dendritic cells, CD8 T cells and regulatory T cells (Tregs) were significantly higher in the low-risk group, and we verified these results with immunohistochemical experiments. Gene ontology (GO) analysis confirmed that the IRGP index (IRGPI) signature genes in the cohort were mostly party to sensory perception of a chemical stimulus and the adaptive immune response. The identification of these pathways provides a basis for studying the molecular mechanisms of IRGPI signaling to predict the prognosis of pancreatic cancer. Our study effectively constructed a robust IRGP signature with prognostic value for pancreatic cancer, presenting a conceivable method for deciding on a preoperative treatment. Taylor & Francis 2021-01-04 /pmc/articles/PMC8806356/ /pubmed/33393862 http://dx.doi.org/10.1080/21655979.2020.1860493 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Li, Yecheng Yao, Pingan Zhao, Kui Ye, Zhenyu Zhang, Haobo Cao, Jianping Zhang, Shuyu Xing, Chungen Individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (IRGPs) |
title | Individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (IRGPs) |
title_full | Individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (IRGPs) |
title_fullStr | Individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (IRGPs) |
title_full_unstemmed | Individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (IRGPs) |
title_short | Individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (IRGPs) |
title_sort | individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (irgps) |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806356/ https://www.ncbi.nlm.nih.gov/pubmed/33393862 http://dx.doi.org/10.1080/21655979.2020.1860493 |
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