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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...

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Autores principales: Li, Yecheng, Yao, Pingan, Zhao, Kui, Ye, Zhenyu, Zhang, Haobo, Cao, Jianping, Zhang, Shuyu, Xing, Chungen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
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.
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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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