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GBP2 as a potential prognostic biomarker in pancreatic adenocarcinoma
BACKGROUND: Pancreatic adenocarcinoma (PAAD) is a disease with atypical symptoms, an unfavorable response to therapy, and a poor outcome. Abnormal guanylate-binding proteins (GBPs) play an important role in the host’s defense against viral infection and may be related to carcinogenesis. In this stud...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121056/ https://www.ncbi.nlm.nih.gov/pubmed/34026364 http://dx.doi.org/10.7717/peerj.11423 |
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author | Liu, Bo Huang, Rongfei Fu, Tingting He, Ping Du, Chengyou Zhou, Wei Xu, Ke Ren, Tao |
author_facet | Liu, Bo Huang, Rongfei Fu, Tingting He, Ping Du, Chengyou Zhou, Wei Xu, Ke Ren, Tao |
author_sort | Liu, Bo |
collection | PubMed |
description | BACKGROUND: Pancreatic adenocarcinoma (PAAD) is a disease with atypical symptoms, an unfavorable response to therapy, and a poor outcome. Abnormal guanylate-binding proteins (GBPs) play an important role in the host’s defense against viral infection and may be related to carcinogenesis. In this study, we sought to determine the relationship between GBP2 expression and phenotype in patients with PAAD and explored the possible underlying biological mechanism. METHOD: We analyzed the expression of GBP2 in PAAD tissues using a multiple gene expression database and a cohort of 42 PAAD patients. We evaluated GBP2’s prognostic value using Kaplan–Meier analysis and the Cox regression model. GO and KEGG enrichment analysis, co-expression analysis, and GSEA were performed to illustrate the possible underlying biological mechanism. CIBERSORT and the relative expression of immune checkpoints were used to estimate the relationship between GBP2 expression and tumor immunology. RESULT: GBP2 was remarkably overexpressed in PAAD tissue. The overexpression of GBP2 was correlated with an advanced T stage and poor overall survival (OS) and GBP2 expression was an independent risk factor for OS in PAAD patients. Functional analysis demonstrated that positively co-expressed genes of GBP2 were closely associated with pathways in cancer and the NOD-like receptor signaling pathway. Most of the characteristic immune checkpoints, including PDCD1, PDCDL1, CTLA4, CD80, TIGIT, LAG3, IDO2, and VISTA, were significantly expressed in the high-GBP2 expression group compared with the low-GBP2 expression group. CONCLUSION: GBP2 acted as a potential prognostic biomarker and was associated with immune infiltration and the expression of immune checkpoints in PAAD. |
format | Online Article Text |
id | pubmed-8121056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81210562021-05-20 GBP2 as a potential prognostic biomarker in pancreatic adenocarcinoma Liu, Bo Huang, Rongfei Fu, Tingting He, Ping Du, Chengyou Zhou, Wei Xu, Ke Ren, Tao PeerJ Bioinformatics BACKGROUND: Pancreatic adenocarcinoma (PAAD) is a disease with atypical symptoms, an unfavorable response to therapy, and a poor outcome. Abnormal guanylate-binding proteins (GBPs) play an important role in the host’s defense against viral infection and may be related to carcinogenesis. In this study, we sought to determine the relationship between GBP2 expression and phenotype in patients with PAAD and explored the possible underlying biological mechanism. METHOD: We analyzed the expression of GBP2 in PAAD tissues using a multiple gene expression database and a cohort of 42 PAAD patients. We evaluated GBP2’s prognostic value using Kaplan–Meier analysis and the Cox regression model. GO and KEGG enrichment analysis, co-expression analysis, and GSEA were performed to illustrate the possible underlying biological mechanism. CIBERSORT and the relative expression of immune checkpoints were used to estimate the relationship between GBP2 expression and tumor immunology. RESULT: GBP2 was remarkably overexpressed in PAAD tissue. The overexpression of GBP2 was correlated with an advanced T stage and poor overall survival (OS) and GBP2 expression was an independent risk factor for OS in PAAD patients. Functional analysis demonstrated that positively co-expressed genes of GBP2 were closely associated with pathways in cancer and the NOD-like receptor signaling pathway. Most of the characteristic immune checkpoints, including PDCD1, PDCDL1, CTLA4, CD80, TIGIT, LAG3, IDO2, and VISTA, were significantly expressed in the high-GBP2 expression group compared with the low-GBP2 expression group. CONCLUSION: GBP2 acted as a potential prognostic biomarker and was associated with immune infiltration and the expression of immune checkpoints in PAAD. PeerJ Inc. 2021-05-11 /pmc/articles/PMC8121056/ /pubmed/34026364 http://dx.doi.org/10.7717/peerj.11423 Text en ©2021 Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Liu, Bo Huang, Rongfei Fu, Tingting He, Ping Du, Chengyou Zhou, Wei Xu, Ke Ren, Tao GBP2 as a potential prognostic biomarker in pancreatic adenocarcinoma |
title | GBP2 as a potential prognostic biomarker in pancreatic adenocarcinoma |
title_full | GBP2 as a potential prognostic biomarker in pancreatic adenocarcinoma |
title_fullStr | GBP2 as a potential prognostic biomarker in pancreatic adenocarcinoma |
title_full_unstemmed | GBP2 as a potential prognostic biomarker in pancreatic adenocarcinoma |
title_short | GBP2 as a potential prognostic biomarker in pancreatic adenocarcinoma |
title_sort | gbp2 as a potential prognostic biomarker in pancreatic adenocarcinoma |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121056/ https://www.ncbi.nlm.nih.gov/pubmed/34026364 http://dx.doi.org/10.7717/peerj.11423 |
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