4.6 Article

Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis

Journal

JOURNAL OF CANCER
Volume 12, Issue 2, Pages 595-610

Publisher

IVYSPRING INT PUBL
DOI: 10.7150/jca.50785

Keywords

APBB1IP; pan-cancer analysis; immune infiltration; prognosis; tumor immune microenvironment

Categories

Funding

  1. State Key Project on Infectious Diseases of China [2018ZX10723204-003]
  2. National Nature Science Foundation of China [81874065, 81500565, 81874149, 81572427, 81401997]
  3. Hepato-Biliary-Pancreatic Malignant Tumor Investigation Fund of Chen Xiao-ping Foundation for the Development of Science and Technology of Hubei Province [CXPJJH11800001-2018356]

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APBB1IP can serve as a prognostic biomarker in pan-cancer analysis. Upregulation of APBB1IP correlated with increased immune-cell infiltration, with its expression in different tumors possibly being related to the tumor immune microenvironment.
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.

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