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Three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients
Pancreatic cancer (PC) is a highly malignant cancer with poor prognosis and high mortality. Aberrant DNA methylation plays a critical role in the occurrence, progression and prognosis of malignant tumors. In this study, we employed multiple datasets from APGI, TCGA and GEO to perform Multi-Omics ana...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382432/ https://www.ncbi.nlm.nih.gov/pubmed/30710069 http://dx.doi.org/10.18632/aging.101785 |
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author | Chen, Huiming Kong, Yan Yao, Qing Zhang, Xing Fu, Yunong Li, Jia Liu, Chang Wang, Zheng |
author_facet | Chen, Huiming Kong, Yan Yao, Qing Zhang, Xing Fu, Yunong Li, Jia Liu, Chang Wang, Zheng |
author_sort | Chen, Huiming |
collection | PubMed |
description | Pancreatic cancer (PC) is a highly malignant cancer with poor prognosis and high mortality. Aberrant DNA methylation plays a critical role in the occurrence, progression and prognosis of malignant tumors. In this study, we employed multiple datasets from APGI, TCGA and GEO to perform Multi-Omics analysis, including DNA methylation and expression profiling analysis. Three differentially expressed genes (SULT1E1, IGF2BP3, MAP4K4) with altered status of DNA methylation were identified and then enrolled into prognostic risk score model using LASSO regression. Univariate cox regression analysis indicated that high risk score was significantly associated with poor prognosis. Multivariate cox regression analysis proved the risk score was an independent prognostic factor for PC. In addition, time-dependent ROC curves indicated good performance of our model in predicting the 1-, 3- and 5-year survival of PC patients. Besides, stratified survival analysis revealed that the risk score model had greater prognostic value for patients of late stage with T3/T4 and N+. Pathway enrichment analysis suggested that these three genes might promote tumor progression by affecting signaling by Rho GTPases and chromosome segregation. In summary, three hypomethylated gene signature were significantly associated with patients’ overall survival, which might serve as potential prognostic biomarkers for PC patients. |
format | Online Article Text |
id | pubmed-6382432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-63824322019-02-27 Three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients Chen, Huiming Kong, Yan Yao, Qing Zhang, Xing Fu, Yunong Li, Jia Liu, Chang Wang, Zheng Aging (Albany NY) Research Paper Pancreatic cancer (PC) is a highly malignant cancer with poor prognosis and high mortality. Aberrant DNA methylation plays a critical role in the occurrence, progression and prognosis of malignant tumors. In this study, we employed multiple datasets from APGI, TCGA and GEO to perform Multi-Omics analysis, including DNA methylation and expression profiling analysis. Three differentially expressed genes (SULT1E1, IGF2BP3, MAP4K4) with altered status of DNA methylation were identified and then enrolled into prognostic risk score model using LASSO regression. Univariate cox regression analysis indicated that high risk score was significantly associated with poor prognosis. Multivariate cox regression analysis proved the risk score was an independent prognostic factor for PC. In addition, time-dependent ROC curves indicated good performance of our model in predicting the 1-, 3- and 5-year survival of PC patients. Besides, stratified survival analysis revealed that the risk score model had greater prognostic value for patients of late stage with T3/T4 and N+. Pathway enrichment analysis suggested that these three genes might promote tumor progression by affecting signaling by Rho GTPases and chromosome segregation. In summary, three hypomethylated gene signature were significantly associated with patients’ overall survival, which might serve as potential prognostic biomarkers for PC patients. Impact Journals 2019-02-01 /pmc/articles/PMC6382432/ /pubmed/30710069 http://dx.doi.org/10.18632/aging.101785 Text en Copyright © 2019 Chen et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Chen, Huiming Kong, Yan Yao, Qing Zhang, Xing Fu, Yunong Li, Jia Liu, Chang Wang, Zheng Three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients |
title | Three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients |
title_full | Three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients |
title_fullStr | Three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients |
title_full_unstemmed | Three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients |
title_short | Three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients |
title_sort | three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382432/ https://www.ncbi.nlm.nih.gov/pubmed/30710069 http://dx.doi.org/10.18632/aging.101785 |
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