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Identify AGAP2 as prognostic biomarker in clear cell renal cell carcinoma based on bioinformatics and IHC staining.

作者信息

Xu Zekun, Wang Yuxuan, Xu Jiangnan, Ang Xiaojie, Ge Nianxin, Xu Min, Pei Changsong

机构信息

Department of Urology Surgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.

Guangxi Medical University, Nanning, China.

出版信息

Heliyon. 2023 Feb 5;9(2):e13543. doi: 10.1016/j.heliyon.2023.e13543. eCollection 2023 Feb.


DOI:10.1016/j.heliyon.2023.e13543
PMID:36846683
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9947311/
Abstract

BACKGROUND: Arf GTPase-activating proteins are aberrantly expressed in a variety of tumors, but their role in clear cell renal cell carcinoma (ccRCC) was unclear. Exploring the biological role of Arf GAP with GTP binding protein like domain, Ankyrin repeat and PH domain 2 (AGAP2) in ccRCC could improve our understanding on the aggressiveness and immune relevance of ccRCC. METHODS: The expression of AGAP2 was analyzed based on the Cancer Genome Atlas (TCGA) database and verified in ccRCC samples using immunohistochemistry. The association between AGAP2 and clinical cancer stages was explored by TCGA dataset and UALCAN. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed to analyze the biological functions of AGAP2-related genes. Moreover, the relationship between AGAP2 and immune cell infiltration was investigated with TIME and TCGA dataset. RESULTS: Compared to normal tissues, AGAP2 was upregulated in ccRCC tissues. Higher expression of AGAP2 was associated with clinical cancer stages, TNM stages, pathologic stages, and status. Prognostic analysis on AGAP2 showed that AGAP2 overexpression was associated with KIRC overall survival (OS) reduction (P = 0.019). However, higher expression of AGAP2 may improve the OS of CESC (P = 0.002), THYM (P = 0.006) and UCEC (P = 0.049). GO and KEGG analysis showed that AGAP2-related genes was related to T cell activation, immune activity and PD-L1 expression and PD-1 checkpoint pathway. Furthermore, our study showed that AGAP2 were significantly associated with T cells, Cytotoxic cells, Treg, Th1 cells, CD8 T cells, T helper cells. And AGAP2 expression level affected the abundance of immune cells infiltration. The infiltrating level of immune cells was different between the AGAP2 high-expression and low-expression groups. CONCLUSION: The expression of AGAP2 in ccRCC was higher than that in normal kidney tissues. It was significantly associated with clinical stage, poor prognosis, and immune cell infiltration. Therefore, AGAP2 may become an important component for ccRCC patients who receive precision cancer therapy and may be a promising prognostic biomarker.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/1da705e22c45/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/ce8a9601b71b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/dfca573d03c0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/1788949796a7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/70ceedd06d49/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/b6f8eb185f39/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/1da705e22c45/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/ce8a9601b71b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/dfca573d03c0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/1788949796a7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/70ceedd06d49/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/b6f8eb185f39/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b969/9947311/1da705e22c45/gr6.jpg

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Identify AGAP2 as prognostic biomarker in clear cell renal cell carcinoma based on bioinformatics and IHC staining.

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引用本文的文献

[1]
PD1/PD-L1 blockade in clear cell renal cell carcinoma: mechanistic insights, clinical efficacy, and future perspectives.

Mol Cancer. 2024-7-16

[2]
Recent Advances in the Management of Clear Cell Renal Cell Carcinoma: Novel Biomarkers and Targeted Therapies.

Cancers (Basel). 2023-6-16

本文引用的文献

[1]
Advances in Imaging-Based Biomarkers in Renal Cell Carcinoma: A Critical Analysis of the Current Literature.

Cancers (Basel). 2023-1-5

[2]
Structural basis of tethered agonism of the adhesion GPCRs ADGRD1 and ADGRF1.

Nature. 2022-4

[3]
Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation.

J Med Internet Res. 2021-7-26

[4]
Pancancer survival analysis of cancer hallmark genes.

Sci Rep. 2021-3-15

[5]
The novel driver gene ASAP2 is a potential druggable target in pancreatic cancer.

Cancer Sci. 2021-4

[6]
The immune infiltration in clear cell Renal Cell Carcinoma and their clinical implications: A study based on TCGA and GEO databases.

J Cancer. 2020-3-5

[7]
Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma.

Aging (Albany NY). 2019-8-18

[8]
Promoter DNA hypermethylation - Implications for Alzheimer's disease.

Neurosci Lett. 2019-7-24

[9]
TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells.

Cancer Res. 2017-11-1

[10]
UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses.

Neoplasia. 2017-8

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