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A Prognostic Survival Model of Pancreatic Adenocarcinoma Based on Metabolism-Related Gene Expression
Accurately predicting the survival prospects of patients suffering from pancreatic adenocarcinoma (PAAD) is challenging. In this study, we analyzed RNA matrices of 182 subjects with PAAD based on public datasets obtained from The Cancer Genome Atlas (TCGA) as training datasets and those of 63 subjec...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158121/ https://www.ncbi.nlm.nih.gov/pubmed/35664305 http://dx.doi.org/10.3389/fgene.2022.804190 |
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author | Xie, Lin-ying Huang, Han-ying Fang, Tian Liang, Jia-ying Hao, Yu-lei Zhang, Xue-jiao Xie, Yi-xin Wang, Chang Tan, Ye-hui Zeng, Lei |
author_facet | Xie, Lin-ying Huang, Han-ying Fang, Tian Liang, Jia-ying Hao, Yu-lei Zhang, Xue-jiao Xie, Yi-xin Wang, Chang Tan, Ye-hui Zeng, Lei |
author_sort | Xie, Lin-ying |
collection | PubMed |
description | Accurately predicting the survival prospects of patients suffering from pancreatic adenocarcinoma (PAAD) is challenging. In this study, we analyzed RNA matrices of 182 subjects with PAAD based on public datasets obtained from The Cancer Genome Atlas (TCGA) as training datasets and those of 63 subjects obtained from the Gene Expression Omnibus (GEO) database as the validation dataset. Genes regulating the metabolism of PAAD cells correlated with survival were identified. Furthermore, LASSO Cox regression analyses were conducted to identify six genes (XDH, MBOAT2, PTGES, AK4, PAICS, and CKB) to create a metabolic risk score. The proposed scoring framework attained the robust predictive performance, with 2-year survival areas under the curve (AUCs) of 0.61 in the training cohort and 0.66 in the validation cohort. Compared with the subjects in the low-risk cohort, subjects in the high-risk training cohort presented a worse survival outcome. The metabolic risk score increased the accuracy of survival prediction in patients suffering from PAAD. |
format | Online Article Text |
id | pubmed-9158121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91581212022-06-02 A Prognostic Survival Model of Pancreatic Adenocarcinoma Based on Metabolism-Related Gene Expression Xie, Lin-ying Huang, Han-ying Fang, Tian Liang, Jia-ying Hao, Yu-lei Zhang, Xue-jiao Xie, Yi-xin Wang, Chang Tan, Ye-hui Zeng, Lei Front Genet Genetics Accurately predicting the survival prospects of patients suffering from pancreatic adenocarcinoma (PAAD) is challenging. In this study, we analyzed RNA matrices of 182 subjects with PAAD based on public datasets obtained from The Cancer Genome Atlas (TCGA) as training datasets and those of 63 subjects obtained from the Gene Expression Omnibus (GEO) database as the validation dataset. Genes regulating the metabolism of PAAD cells correlated with survival were identified. Furthermore, LASSO Cox regression analyses were conducted to identify six genes (XDH, MBOAT2, PTGES, AK4, PAICS, and CKB) to create a metabolic risk score. The proposed scoring framework attained the robust predictive performance, with 2-year survival areas under the curve (AUCs) of 0.61 in the training cohort and 0.66 in the validation cohort. Compared with the subjects in the low-risk cohort, subjects in the high-risk training cohort presented a worse survival outcome. The metabolic risk score increased the accuracy of survival prediction in patients suffering from PAAD. Frontiers Media S.A. 2022-05-18 /pmc/articles/PMC9158121/ /pubmed/35664305 http://dx.doi.org/10.3389/fgene.2022.804190 Text en Copyright © 2022 Xie, Huang, Fang, Liang, Hao, Zhang, Xie, Wang, Tan and Zeng. 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 Xie, Lin-ying Huang, Han-ying Fang, Tian Liang, Jia-ying Hao, Yu-lei Zhang, Xue-jiao Xie, Yi-xin Wang, Chang Tan, Ye-hui Zeng, Lei A Prognostic Survival Model of Pancreatic Adenocarcinoma Based on Metabolism-Related Gene Expression |
title | A Prognostic Survival Model of Pancreatic Adenocarcinoma Based on Metabolism-Related Gene Expression |
title_full | A Prognostic Survival Model of Pancreatic Adenocarcinoma Based on Metabolism-Related Gene Expression |
title_fullStr | A Prognostic Survival Model of Pancreatic Adenocarcinoma Based on Metabolism-Related Gene Expression |
title_full_unstemmed | A Prognostic Survival Model of Pancreatic Adenocarcinoma Based on Metabolism-Related Gene Expression |
title_short | A Prognostic Survival Model of Pancreatic Adenocarcinoma Based on Metabolism-Related Gene Expression |
title_sort | prognostic survival model of pancreatic adenocarcinoma based on metabolism-related gene expression |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158121/ https://www.ncbi.nlm.nih.gov/pubmed/35664305 http://dx.doi.org/10.3389/fgene.2022.804190 |
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