A Prognostic Model of Pancreatic Cancer Based on Ferroptosis-Related Genes to Determine Its Immune Landscape and Underlying Mechanisms
Pancreatic cancer is one of the malignant tumors with the worst prognosis in the world. As a new way of programmed cell death, ferroptosis has been proven to have potential in tumor therapy. In this study, we used the TCGA-PAAD cohort combined with the previously reported 60 ferroptosis-related gene...
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2021
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oai:doaj.org-article:23e046d59ca74ceeb0bb50d580817f042021-11-08T04:52:35ZA Prognostic Model of Pancreatic Cancer Based on Ferroptosis-Related Genes to Determine Its Immune Landscape and Underlying Mechanisms2296-634X10.3389/fcell.2021.746696https://doaj.org/article/23e046d59ca74ceeb0bb50d580817f042021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.746696/fullhttps://doaj.org/toc/2296-634XPancreatic cancer is one of the malignant tumors with the worst prognosis in the world. As a new way of programmed cell death, ferroptosis has been proven to have potential in tumor therapy. In this study, we used the TCGA-PAAD cohort combined with the previously reported 60 ferroptosis-related genes to construct and validate the prognosis model and in-depth analysis of the differences in the function and immune characteristics of different RiskTypes. The results showed that the six-gene signature prognostic model that we constructed has good stability and effectiveness. Further analysis showed that the upregulated genes in the high-risk group were mainly enriched in extracellular matrix receptor-related pathways and other tumor-related pathways and the infiltration of immune cells, such as B, T, and NK cells, was suppressed. In short, our model shows good stability and effectiveness. Further studies have found that the prognostic differences between different RiskTypes may be due to the changes in the ECM-receptor pathway and activation of the immune system. Additionally, ICI drugs can treat pancreatic cancer in high-risk groups.Xiao YuXiao YuXiao YuXiao YuQingyuan ZhengQingyuan ZhengQingyuan ZhengQingyuan ZhengMenggang ZhangMenggang ZhangMenggang ZhangMenggang ZhangQiyao ZhangQiyao ZhangQiyao ZhangQiyao ZhangShuijun ZhangShuijun ZhangShuijun ZhangShuijun ZhangYuting HeYuting HeYuting HeYuting HeWenzhi GuoWenzhi GuoWenzhi GuoWenzhi GuoFrontiers Media S.A.articlepancreatic cancerferroptosisprognosticimmuneECMBiology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021) |
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| topic |
pancreatic cancer ferroptosis prognostic immune ECM Biology (General) QH301-705.5 |
| spellingShingle |
pancreatic cancer ferroptosis prognostic immune ECM Biology (General) QH301-705.5 Xiao Yu Xiao Yu Xiao Yu Xiao Yu Qingyuan Zheng Qingyuan Zheng Qingyuan Zheng Qingyuan Zheng Menggang Zhang Menggang Zhang Menggang Zhang Menggang Zhang Qiyao Zhang Qiyao Zhang Qiyao Zhang Qiyao Zhang Shuijun Zhang Shuijun Zhang Shuijun Zhang Shuijun Zhang Yuting He Yuting He Yuting He Yuting He Wenzhi Guo Wenzhi Guo Wenzhi Guo Wenzhi Guo A Prognostic Model of Pancreatic Cancer Based on Ferroptosis-Related Genes to Determine Its Immune Landscape and Underlying Mechanisms |
| description |
Pancreatic cancer is one of the malignant tumors with the worst prognosis in the world. As a new way of programmed cell death, ferroptosis has been proven to have potential in tumor therapy. In this study, we used the TCGA-PAAD cohort combined with the previously reported 60 ferroptosis-related genes to construct and validate the prognosis model and in-depth analysis of the differences in the function and immune characteristics of different RiskTypes. The results showed that the six-gene signature prognostic model that we constructed has good stability and effectiveness. Further analysis showed that the upregulated genes in the high-risk group were mainly enriched in extracellular matrix receptor-related pathways and other tumor-related pathways and the infiltration of immune cells, such as B, T, and NK cells, was suppressed. In short, our model shows good stability and effectiveness. Further studies have found that the prognostic differences between different RiskTypes may be due to the changes in the ECM-receptor pathway and activation of the immune system. Additionally, ICI drugs can treat pancreatic cancer in high-risk groups. |
| format |
article |
| author |
Xiao Yu Xiao Yu Xiao Yu Xiao Yu Qingyuan Zheng Qingyuan Zheng Qingyuan Zheng Qingyuan Zheng Menggang Zhang Menggang Zhang Menggang Zhang Menggang Zhang Qiyao Zhang Qiyao Zhang Qiyao Zhang Qiyao Zhang Shuijun Zhang Shuijun Zhang Shuijun Zhang Shuijun Zhang Yuting He Yuting He Yuting He Yuting He Wenzhi Guo Wenzhi Guo Wenzhi Guo Wenzhi Guo |
| author_facet |
Xiao Yu Xiao Yu Xiao Yu Xiao Yu Qingyuan Zheng Qingyuan Zheng Qingyuan Zheng Qingyuan Zheng Menggang Zhang Menggang Zhang Menggang Zhang Menggang Zhang Qiyao Zhang Qiyao Zhang Qiyao Zhang Qiyao Zhang Shuijun Zhang Shuijun Zhang Shuijun Zhang Shuijun Zhang Yuting He Yuting He Yuting He Yuting He Wenzhi Guo Wenzhi Guo Wenzhi Guo Wenzhi Guo |
| author_sort |
Xiao Yu |
| title |
A Prognostic Model of Pancreatic Cancer Based on Ferroptosis-Related Genes to Determine Its Immune Landscape and Underlying Mechanisms |
| title_short |
A Prognostic Model of Pancreatic Cancer Based on Ferroptosis-Related Genes to Determine Its Immune Landscape and Underlying Mechanisms |
| title_full |
A Prognostic Model of Pancreatic Cancer Based on Ferroptosis-Related Genes to Determine Its Immune Landscape and Underlying Mechanisms |
| title_fullStr |
A Prognostic Model of Pancreatic Cancer Based on Ferroptosis-Related Genes to Determine Its Immune Landscape and Underlying Mechanisms |
| title_full_unstemmed |
A Prognostic Model of Pancreatic Cancer Based on Ferroptosis-Related Genes to Determine Its Immune Landscape and Underlying Mechanisms |
| title_sort |
prognostic model of pancreatic cancer based on ferroptosis-related genes to determine its immune landscape and underlying mechanisms |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/23e046d59ca74ceeb0bb50d580817f04 |
| work_keys_str_mv |
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