Cargando…
A Novel Risk Model Identified Based on Pyroptosis-Related lncRNA Predicts Overall Survival and Associates With the Immune Landscape of GC Patients
Gastric cancer (GC) is one of the most common malignant gastrointestinal tumors worldwide. Pyroptosis was widely reported to exert a crucial function in tumor development. In addition, pyroptosis was also proved to be associated with the immune landscape. However, whether pyroptosis-related lncRNAs...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8859253/ https://www.ncbi.nlm.nih.gov/pubmed/35198013 http://dx.doi.org/10.3389/fgene.2022.843538 |
_version_ | 1784654415416786944 |
---|---|
author | Xu, Tingting Gu, Hanxin Zhang, Changsong Zhang, Wushuang Liang, Xiaolong Cheng, Xiaoxia |
author_facet | Xu, Tingting Gu, Hanxin Zhang, Changsong Zhang, Wushuang Liang, Xiaolong Cheng, Xiaoxia |
author_sort | Xu, Tingting |
collection | PubMed |
description | Gastric cancer (GC) is one of the most common malignant gastrointestinal tumors worldwide. Pyroptosis was widely reported to exert a crucial function in tumor development. In addition, pyroptosis was also proved to be associated with the immune landscape. However, whether pyroptosis-related lncRNAs are associated with the prognosis and the immune landscape of GC remains unclear. In the present study, we first constructed a novel risk model by using pyroptosis-related lncRNAs. We identified 11 pyroptosis-related lncRNAs for the establishment of the risk model. The risk model could be used to predict the survival outcome and immune landscape of GC patients. The results of survival analysis and AUC value of a time-related ROC curve proved that our risk model has an elevated efficiency and accuracy in predicting the survival outcome of patients. We also found that the risk model was also associated with the immune landscape, drug sensitivity, and tumor mutation burden of GC patients. In conclusion, our risk model plays a crucial role in the tumor immune microenvironment and could be used to predict survival outcomes of GC patients. |
format | Online Article Text |
id | pubmed-8859253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88592532022-02-22 A Novel Risk Model Identified Based on Pyroptosis-Related lncRNA Predicts Overall Survival and Associates With the Immune Landscape of GC Patients Xu, Tingting Gu, Hanxin Zhang, Changsong Zhang, Wushuang Liang, Xiaolong Cheng, Xiaoxia Front Genet Genetics Gastric cancer (GC) is one of the most common malignant gastrointestinal tumors worldwide. Pyroptosis was widely reported to exert a crucial function in tumor development. In addition, pyroptosis was also proved to be associated with the immune landscape. However, whether pyroptosis-related lncRNAs are associated with the prognosis and the immune landscape of GC remains unclear. In the present study, we first constructed a novel risk model by using pyroptosis-related lncRNAs. We identified 11 pyroptosis-related lncRNAs for the establishment of the risk model. The risk model could be used to predict the survival outcome and immune landscape of GC patients. The results of survival analysis and AUC value of a time-related ROC curve proved that our risk model has an elevated efficiency and accuracy in predicting the survival outcome of patients. We also found that the risk model was also associated with the immune landscape, drug sensitivity, and tumor mutation burden of GC patients. In conclusion, our risk model plays a crucial role in the tumor immune microenvironment and could be used to predict survival outcomes of GC patients. Frontiers Media S.A. 2022-02-07 /pmc/articles/PMC8859253/ /pubmed/35198013 http://dx.doi.org/10.3389/fgene.2022.843538 Text en Copyright © 2022 Xu, Gu, Zhang, Zhang, Liang and Cheng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Xu, Tingting Gu, Hanxin Zhang, Changsong Zhang, Wushuang Liang, Xiaolong Cheng, Xiaoxia A Novel Risk Model Identified Based on Pyroptosis-Related lncRNA Predicts Overall Survival and Associates With the Immune Landscape of GC Patients |
title | A Novel Risk Model Identified Based on Pyroptosis-Related lncRNA Predicts Overall Survival and Associates With the Immune Landscape of GC Patients |
title_full | A Novel Risk Model Identified Based on Pyroptosis-Related lncRNA Predicts Overall Survival and Associates With the Immune Landscape of GC Patients |
title_fullStr | A Novel Risk Model Identified Based on Pyroptosis-Related lncRNA Predicts Overall Survival and Associates With the Immune Landscape of GC Patients |
title_full_unstemmed | A Novel Risk Model Identified Based on Pyroptosis-Related lncRNA Predicts Overall Survival and Associates With the Immune Landscape of GC Patients |
title_short | A Novel Risk Model Identified Based on Pyroptosis-Related lncRNA Predicts Overall Survival and Associates With the Immune Landscape of GC Patients |
title_sort | novel risk model identified based on pyroptosis-related lncrna predicts overall survival and associates with the immune landscape of gc patients |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8859253/ https://www.ncbi.nlm.nih.gov/pubmed/35198013 http://dx.doi.org/10.3389/fgene.2022.843538 |
work_keys_str_mv | AT xutingting anovelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT guhanxin anovelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT zhangchangsong anovelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT zhangwushuang anovelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT liangxiaolong anovelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT chengxiaoxia anovelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT xutingting novelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT guhanxin novelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT zhangchangsong novelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT zhangwushuang novelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT liangxiaolong novelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients AT chengxiaoxia novelriskmodelidentifiedbasedonpyroptosisrelatedlncrnapredictsoverallsurvivalandassociateswiththeimmunelandscapeofgcpatients |