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Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis
Objective: APBB1IP is a Rap1-binding protein that mainly acts as a regulator of leukocyte recruitment and pathogen clearance through complement-mediated phagocytosis. However, the role of APBB1IP in tumor immunity remains unclear. This study was carried out to evaluate the prognostic landscape of AP...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738982/ https://www.ncbi.nlm.nih.gov/pubmed/33391455 http://dx.doi.org/10.7150/jca.50785 |
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author | Ge, Qianyun Li, Ganxun Chen, Jin Song, Jia Cai, Guangzhen he, Yi Zhang, Xuewu Liang, Huifang Ding, Zeyang Zhang, Bixiang |
author_facet | Ge, Qianyun Li, Ganxun Chen, Jin Song, Jia Cai, Guangzhen he, Yi Zhang, Xuewu Liang, Huifang Ding, Zeyang Zhang, Bixiang |
author_sort | Ge, Qianyun |
collection | PubMed |
description | Objective: APBB1IP is a Rap1-binding protein that mainly acts as a regulator of leukocyte recruitment and pathogen clearance through complement-mediated phagocytosis. However, the role of APBB1IP in tumor immunity remains unclear. This study was carried out to evaluate the prognostic landscape of APBB1IP in pan-cancer analysis and investigate the relationship between APBB1IP expression and immune infiltration. Methods: We explored the expression pattern and prognostic value of APBB1IP in pan-cancer analysis through Kaplan-Meier Plotter and multiple databases, including TCGA, Oncomine. We then assessed the correlation between APBB1IP expression and immune cell infiltration using the TIMER database. Furthermore, we identified the proteins that interact with APBB1IP and performed epigenetic and transcriptional analyses. Multivariate Cox regression analyses were applied to construct a prognostic model, which consisted of APBB1IP and its interacting proteins, based on the lung cancer cohorts from the Gene Expression Omnibus (GEO) database. Results: The expression of APBB1IP was correlated with the prognosis of several types of cancer. APBB1IP upregulation was found to be associated with increased immune cell infiltration, especially for CD8(+) T cells, natural killer (NK) cells, and immune regulators. A link was found between APBB1IP and immune-related proteins including RAP1A/B, TLN1/2 and VCL in the interaction network. Conclusion: APBB1IP can serve as a prognostic biomarker in pan-cancer analysis. APBB1IP upregulation was correlated with increased immune-cell infiltration, and the expression APBB1IP in different tumors might be related to the tumor immune microenvironment. |
format | Online Article Text |
id | pubmed-7738982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-77389822021-01-01 Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis Ge, Qianyun Li, Ganxun Chen, Jin Song, Jia Cai, Guangzhen he, Yi Zhang, Xuewu Liang, Huifang Ding, Zeyang Zhang, Bixiang J Cancer Research Paper Objective: APBB1IP is a Rap1-binding protein that mainly acts as a regulator of leukocyte recruitment and pathogen clearance through complement-mediated phagocytosis. However, the role of APBB1IP in tumor immunity remains unclear. This study was carried out to evaluate the prognostic landscape of APBB1IP in pan-cancer analysis and investigate the relationship between APBB1IP expression and immune infiltration. Methods: We explored the expression pattern and prognostic value of APBB1IP in pan-cancer analysis through Kaplan-Meier Plotter and multiple databases, including TCGA, Oncomine. We then assessed the correlation between APBB1IP expression and immune cell infiltration using the TIMER database. Furthermore, we identified the proteins that interact with APBB1IP and performed epigenetic and transcriptional analyses. Multivariate Cox regression analyses were applied to construct a prognostic model, which consisted of APBB1IP and its interacting proteins, based on the lung cancer cohorts from the Gene Expression Omnibus (GEO) database. Results: The expression of APBB1IP was correlated with the prognosis of several types of cancer. APBB1IP upregulation was found to be associated with increased immune cell infiltration, especially for CD8(+) T cells, natural killer (NK) cells, and immune regulators. A link was found between APBB1IP and immune-related proteins including RAP1A/B, TLN1/2 and VCL in the interaction network. Conclusion: APBB1IP can serve as a prognostic biomarker in pan-cancer analysis. APBB1IP upregulation was correlated with increased immune-cell infiltration, and the expression APBB1IP in different tumors might be related to the tumor immune microenvironment. Ivyspring International Publisher 2021-01-01 /pmc/articles/PMC7738982/ /pubmed/33391455 http://dx.doi.org/10.7150/jca.50785 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Ge, Qianyun Li, Ganxun Chen, Jin Song, Jia Cai, Guangzhen he, Yi Zhang, Xuewu Liang, Huifang Ding, Zeyang Zhang, Bixiang Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis |
title | Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis |
title_full | Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis |
title_fullStr | Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis |
title_full_unstemmed | Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis |
title_short | Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis |
title_sort | immunological role and prognostic value of apbb1ip in pan-cancer analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738982/ https://www.ncbi.nlm.nih.gov/pubmed/33391455 http://dx.doi.org/10.7150/jca.50785 |
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