AP4M1 as a prognostic biomarker associated with cell proliferation, migration and immune regulation in hepatocellular carcinoma

BackgroundAP4M1 is a protein-coding gene that plays a crucial role in transporter activity, recognition, and hereditary-associated diseases, but it’s largely unknown in cancers.MethodsThe expression level of AP4M1 in cancers was investigated by The Cancer Genome Atlas (TCGA) and Gene Expression Omni...

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Bibliographic Details
Published in:Cancer cell international 2023-10, Vol.23 (1), p.1-235, Article 235
Main Authors: Peng, Yuanhao, Li, Xuanxuan, Kang, Kuo, Zhou, Yangying
Format: Article
Language:English
Subjects:
Antibodies
AP4M1
Autophagy
Biomarker
Biomarkers
Cell growth
Cell migration
Cell proliferation
Clinical prognosis
Datasets
Gene expression
Gene set enrichment analysis
Genomes
Hepatocellular Carcinoma
Immune checkpoint
Immune microenvironment
Immunoregulation
Liver cancer
Medical prognosis
Normal distribution
Plasmids
Prognosis
Proteins
Risk factors
Survival analysis
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Summary:BackgroundAP4M1 is a protein-coding gene that plays a crucial role in transporter activity, recognition, and hereditary-associated diseases, but it’s largely unknown in cancers.MethodsThe expression level of AP4M1 in cancers was investigated by The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and the correlation between AP4M1 and hepatocellular carcinoma (HCC) clinicopathological parameters were analyzed. Univariate and multifactorial COX regression analyses were performed to clarify the prognostic value of AP4M1 in HCC. The correlation between AP4M1 and immune cell infiltration was analyzed using single-sample Gene Set Enrichment Analysis (ssGSEA). Besides, we verified the biological function of AP4M1 by applying Cell Counting Kit-8 (CCK8), colony formation, and transwell assays.ResultsThe expression of AP4M1 was significantly elevated in HCC and was correlated with patients’ pathological grades, AFP, and BMI. Kaplan-Meier survival curves indicated that patients with AP4M1 overexpression had worse overall survival. Univariate and multivariate COX regression analyses showed that AP4M1 was an independent risk factor affecting the prognosis of HCC. In addition, we observed that AP4M1 positively correlated with most immune checkpoint suppressor genes in HCC. Moreover, in vitro experiments further confirmed that AP4M1 could promote the proliferation and invasion of HCC.ConclusionsAP4M1 is highly expressed and associated with poor prognosis in HCC. AP4M1 is closely related to cancer-immune regulation and could be a novel target for HCC, and guiding new strategies for the diagnosis and treatment of HCC patients.
ISSN:1475-2867
1475-2867
DOI:10.1186/s12935-023-03089-0