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FAIM2 is a potential pan-cancer biomarker for prognosis and immune infiltration

Fas apoptosis inhibitory molecule 2 (FAIM2) is an important member of the transmembrane BAX inhibitor motif containing (TMBIM) family. However, the role of FAIM2 in tumor prognosis and immune infiltration has rarely been studied. Here, we conducted a pan-cancer analysis to explore the role of FAIM2...

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Autores principales: Cai, Jiayang, Ye, Zhang, Hu, Yuanyuan, Wang, Yixuan, Ye, Liguo, Gao, Lun, sun, Qian, Tong, Shiao, Sun, Zhiqiang, Yang, Ji'an, Chen, Qianxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516132/
https://www.ncbi.nlm.nih.gov/pubmed/36185230
http://dx.doi.org/10.3389/fonc.2022.998336
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author Cai, Jiayang
Ye, Zhang
Hu, Yuanyuan
Wang, Yixuan
Ye, Liguo
Gao, Lun
sun, Qian
Tong, Shiao
Sun, Zhiqiang
Yang, Ji'an
Chen, Qianxue
author_facet Cai, Jiayang
Ye, Zhang
Hu, Yuanyuan
Wang, Yixuan
Ye, Liguo
Gao, Lun
sun, Qian
Tong, Shiao
Sun, Zhiqiang
Yang, Ji'an
Chen, Qianxue
author_sort Cai, Jiayang
collection PubMed
description Fas apoptosis inhibitory molecule 2 (FAIM2) is an important member of the transmembrane BAX inhibitor motif containing (TMBIM) family. However, the role of FAIM2 in tumor prognosis and immune infiltration has rarely been studied. Here, we conducted a pan-cancer analysis to explore the role of FAIM2 in various tumors and further verified the results in glioma through molecular biology experiment. FAIM2 expression and clinical stages in tumor samples and para-cancerous samples were analyzed by TIMER2 database, GEPIA database, and the TISIDB database. The role of FAIM2 on prognosis was analyzed via GEPIA2. We utilized the ESTIMATE algorithm to evaluate the ImmuneScore and StromalScore of various tumors. In addition, we explored the correlation between FAIM2 expression and tumor immune cell infiltration by the TIMER2 database. The immune checkpoint genes, tumor mutation burden (TMB), microsatellite instability (MSI), mismatch repair (MMR), and DNA methylation related to FAIM2 were analyzed based on the TCGA database. The correlation between FAIM2 expression with Copy number variations (CNV) and methylation is explored by GSCA database. Protein-Protein Interaction (PPI) analysis was obtained from the STRING database and the CellMiner database was used to explore the association between FAIM2 expression and drug response. FAIM2 co-expression genes were studied by the LinkedOmics database. Immunohistochemistry, Western Blotting Analysis, Cell Viability Assay, Colony Formation Assay, and Edu staining assay were used in the molecular biology experiments section. The FAIM2 expression was down-regulated in most tumors and highly expressed FAIM2 was associated with a better prognosis in several cancers. FAIM2 plays an essential role in the tumor microenvironment and is closely associated with immune Infiltration in various tumors. The expression of FAIM2 was closely correlated to TMB, MSI, MMR, CNV, and DNA methylation. Furthermore, FAIM2 related genes in the PPI network and its co-expression genes in glioma are involved in a large number of immune-related pathways. Molecular biology experiments verified a cancer suppressor role for FAIM2 in glioma. FAIM2 may serve as a potential pan-cancer biomarker for prognosis and immune infiltration, especially in glioma. Moreover, this study might provide a potential target for tumor immunotherapy.
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spelling pubmed-95161322022-09-29 FAIM2 is a potential pan-cancer biomarker for prognosis and immune infiltration Cai, Jiayang Ye, Zhang Hu, Yuanyuan Wang, Yixuan Ye, Liguo Gao, Lun sun, Qian Tong, Shiao Sun, Zhiqiang Yang, Ji'an Chen, Qianxue Front Oncol Oncology Fas apoptosis inhibitory molecule 2 (FAIM2) is an important member of the transmembrane BAX inhibitor motif containing (TMBIM) family. However, the role of FAIM2 in tumor prognosis and immune infiltration has rarely been studied. Here, we conducted a pan-cancer analysis to explore the role of FAIM2 in various tumors and further verified the results in glioma through molecular biology experiment. FAIM2 expression and clinical stages in tumor samples and para-cancerous samples were analyzed by TIMER2 database, GEPIA database, and the TISIDB database. The role of FAIM2 on prognosis was analyzed via GEPIA2. We utilized the ESTIMATE algorithm to evaluate the ImmuneScore and StromalScore of various tumors. In addition, we explored the correlation between FAIM2 expression and tumor immune cell infiltration by the TIMER2 database. The immune checkpoint genes, tumor mutation burden (TMB), microsatellite instability (MSI), mismatch repair (MMR), and DNA methylation related to FAIM2 were analyzed based on the TCGA database. The correlation between FAIM2 expression with Copy number variations (CNV) and methylation is explored by GSCA database. Protein-Protein Interaction (PPI) analysis was obtained from the STRING database and the CellMiner database was used to explore the association between FAIM2 expression and drug response. FAIM2 co-expression genes were studied by the LinkedOmics database. Immunohistochemistry, Western Blotting Analysis, Cell Viability Assay, Colony Formation Assay, and Edu staining assay were used in the molecular biology experiments section. The FAIM2 expression was down-regulated in most tumors and highly expressed FAIM2 was associated with a better prognosis in several cancers. FAIM2 plays an essential role in the tumor microenvironment and is closely associated with immune Infiltration in various tumors. The expression of FAIM2 was closely correlated to TMB, MSI, MMR, CNV, and DNA methylation. Furthermore, FAIM2 related genes in the PPI network and its co-expression genes in glioma are involved in a large number of immune-related pathways. Molecular biology experiments verified a cancer suppressor role for FAIM2 in glioma. FAIM2 may serve as a potential pan-cancer biomarker for prognosis and immune infiltration, especially in glioma. Moreover, this study might provide a potential target for tumor immunotherapy. Frontiers Media S.A. 2022-09-14 /pmc/articles/PMC9516132/ /pubmed/36185230 http://dx.doi.org/10.3389/fonc.2022.998336 Text en Copyright © 2022 Cai, Ye, Hu, Wang, Ye, Gao, sun, Tong, Sun, Yang and Chen 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 Oncology
Cai, Jiayang
Ye, Zhang
Hu, Yuanyuan
Wang, Yixuan
Ye, Liguo
Gao, Lun
sun, Qian
Tong, Shiao
Sun, Zhiqiang
Yang, Ji'an
Chen, Qianxue
FAIM2 is a potential pan-cancer biomarker for prognosis and immune infiltration
title FAIM2 is a potential pan-cancer biomarker for prognosis and immune infiltration
title_full FAIM2 is a potential pan-cancer biomarker for prognosis and immune infiltration
title_fullStr FAIM2 is a potential pan-cancer biomarker for prognosis and immune infiltration
title_full_unstemmed FAIM2 is a potential pan-cancer biomarker for prognosis and immune infiltration
title_short FAIM2 is a potential pan-cancer biomarker for prognosis and immune infiltration
title_sort faim2 is a potential pan-cancer biomarker for prognosis and immune infiltration
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516132/
https://www.ncbi.nlm.nih.gov/pubmed/36185230
http://dx.doi.org/10.3389/fonc.2022.998336
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