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A bioinformatic analysis: the overexpression and clinical significance of FCGBP in ovarian cancer

Fc fragment of IgG-binding protein (FCGBP) is differentially expressed in various tumors. However, the correlation between FCGBP and immune cell infiltration in ovarian cancer remains unclear. FCGBP expression was analyzed using The Cancer Genome Atlas (TCGA) pan-cancer data, and the ovarian cancer...

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Autores principales: Wang, Kai, Guan, Chenan, Shang, Xianwen, Ying, Xiang, Mei, Shuangshuang, Zhu, Hanxiao, Xia, Liang, Chai, Zeying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993703/
https://www.ncbi.nlm.nih.gov/pubmed/33686968
http://dx.doi.org/10.18632/aging.202601
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author Wang, Kai
Guan, Chenan
Shang, Xianwen
Ying, Xiang
Mei, Shuangshuang
Zhu, Hanxiao
Xia, Liang
Chai, Zeying
author_facet Wang, Kai
Guan, Chenan
Shang, Xianwen
Ying, Xiang
Mei, Shuangshuang
Zhu, Hanxiao
Xia, Liang
Chai, Zeying
author_sort Wang, Kai
collection PubMed
description Fc fragment of IgG-binding protein (FCGBP) is differentially expressed in various tumors. However, the correlation between FCGBP and immune cell infiltration in ovarian cancer remains unclear. FCGBP expression was analyzed using The Cancer Genome Atlas (TCGA) pan-cancer data, and the ovarian cancer expression profile was analyzed using the Gene Expression Omnibus database. The clinical prognostic value of FCGBP was evaluated using clinical survival data from TCGA. Enrichment analysis of FCGBP was performed using the R package clusterProfiler. Based on known immune cell infiltration scores for samples found in TCGA, we analyzed the association between immune cell infiltration level and FCGBP expression. FCGBP was highly expressed and associated with poorer overall survival (p = 0.00051) and disease-specific survival (p = 0.0012) in ovarian cancer and other tumors. Additionally, high FCGBP expression correlated significantly with immune-related gene sets, including those involved in chemokine signaling pathways and innate and adaptive immunity. Further analysis showed that M2 macrophage infiltration increased and M1 macrophage infiltration decreased in tissues with high FCGBP expression. Our study suggests that FCGBP contributes to M2 macrophage polarization by acting as an oncogene in ovarian cancer. FCGBP may represent a clinically helpful biomarker for predicting overall survival of ovarian cancer patients.
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spelling pubmed-79937032021-04-06 A bioinformatic analysis: the overexpression and clinical significance of FCGBP in ovarian cancer Wang, Kai Guan, Chenan Shang, Xianwen Ying, Xiang Mei, Shuangshuang Zhu, Hanxiao Xia, Liang Chai, Zeying Aging (Albany NY) Research Paper Fc fragment of IgG-binding protein (FCGBP) is differentially expressed in various tumors. However, the correlation between FCGBP and immune cell infiltration in ovarian cancer remains unclear. FCGBP expression was analyzed using The Cancer Genome Atlas (TCGA) pan-cancer data, and the ovarian cancer expression profile was analyzed using the Gene Expression Omnibus database. The clinical prognostic value of FCGBP was evaluated using clinical survival data from TCGA. Enrichment analysis of FCGBP was performed using the R package clusterProfiler. Based on known immune cell infiltration scores for samples found in TCGA, we analyzed the association between immune cell infiltration level and FCGBP expression. FCGBP was highly expressed and associated with poorer overall survival (p = 0.00051) and disease-specific survival (p = 0.0012) in ovarian cancer and other tumors. Additionally, high FCGBP expression correlated significantly with immune-related gene sets, including those involved in chemokine signaling pathways and innate and adaptive immunity. Further analysis showed that M2 macrophage infiltration increased and M1 macrophage infiltration decreased in tissues with high FCGBP expression. Our study suggests that FCGBP contributes to M2 macrophage polarization by acting as an oncogene in ovarian cancer. FCGBP may represent a clinically helpful biomarker for predicting overall survival of ovarian cancer patients. Impact Journals 2021-03-03 /pmc/articles/PMC7993703/ /pubmed/33686968 http://dx.doi.org/10.18632/aging.202601 Text en Copyright: © 2021 Wang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Wang, Kai
Guan, Chenan
Shang, Xianwen
Ying, Xiang
Mei, Shuangshuang
Zhu, Hanxiao
Xia, Liang
Chai, Zeying
A bioinformatic analysis: the overexpression and clinical significance of FCGBP in ovarian cancer
title A bioinformatic analysis: the overexpression and clinical significance of FCGBP in ovarian cancer
title_full A bioinformatic analysis: the overexpression and clinical significance of FCGBP in ovarian cancer
title_fullStr A bioinformatic analysis: the overexpression and clinical significance of FCGBP in ovarian cancer
title_full_unstemmed A bioinformatic analysis: the overexpression and clinical significance of FCGBP in ovarian cancer
title_short A bioinformatic analysis: the overexpression and clinical significance of FCGBP in ovarian cancer
title_sort bioinformatic analysis: the overexpression and clinical significance of fcgbp in ovarian cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993703/
https://www.ncbi.nlm.nih.gov/pubmed/33686968
http://dx.doi.org/10.18632/aging.202601
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