Expression characteristic, immune signature, and prognosis value of EFNA family identified by multi-omics integrative analysis in pan-cancer

Background EphrinA (EFNA) are Eph receptor ligands that regulate various disease processes. Nonetheless, the expression characteristics of EFNAs in pan-cancer, their relationship with tumor immune microenvironment, and prognostic value landscape remain unknown. Methods A comprehensive landscape of E...

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Bibliographic Details
Published in:BMC cancer 2022-08, Vol.22 (1), p.1-871, Article 871
Main Authors: Jiao, Zonglin, Feng, Xiao, Cui, Yuqing, Wang, Lei, Gan, Junqing, Zhao, Yanbin, Meng, Qingwei
Format: Article
Language:English
Subjects:
Adenocarcinoma
Antigens
Bioinformatics
Cancer
Cancer therapies
DNA methylation
EFNA family
Ephrins
Epigenetics
Gene expression
Genetic aspects
Genetic diversity
Genomes
Immune response
Immunohistochemistry
Immunology
Immunoregulation
Immunotherapy
Kinases
Ligands
Lung cancer
Medical prognosis
Medical research
Microenvironments
Multi-omics bioinformatics
Oncology, Experimental
Pan-cancer
Prognosis
Protein expression
Proteins
Signal transduction
Survival analysis
Therapeutic targets
Tumor cell lines
Tumor genesis
Tumor immune microenvironment
Tumors
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Summary:Background EphrinA (EFNA) are Eph receptor ligands that regulate various disease processes. Nonetheless, the expression characteristics of EFNAs in pan-cancer, their relationship with tumor immune microenvironment, and prognostic value landscape remain unknown. Methods A comprehensive landscape of EFNAs was created using various statistical data extracted from 33 cancers. Subsequently, we identified differential expression, genetic variations, potential function enrichment, tumor immune-related analysis, and drug sensitivity. Further, we investigated the clinical features and diagnostic prognostic value of EFNAs. RT-qPCR, western blot and immunohistochemistry (IHC) were used to validate the expression level and significant clinical value of EFNA5 in lung adenocarcinoma cell lines and tissues. Results EFNAs were highly mutated in various cancers. Genomic and epigenetic alterations of EFNAs were observed in various tumors, where an oncogenic mutation in specific cancer types potentially affected EFNA expression. Moreover, tumor-derived EFNAs were significantly related to the tumor immune microenvironment, suggesting that they are promising therapeutic targets. The majority of EFNA family genes were significantly linked to patient prognosis. Eventually, EFNA5 was an independent prognostic factor in lung adenocarcinoma. Conclusion In summary, EFNAs are crucial in tumor immune regulation, and EFNA5 is a prognostic marker in lung adenocarcinoma. Our findings provide new insights into EFNAs from a bioinformatics standpoint and highlight the significance of EFNAs in cancer diagnosis and treatment. Keywords: EFNA family, Pan-cancer, Tumor immune microenvironment, Tumor genesis, Multi-omics bioinformatics
ISSN:1471-2407
1471-2407
DOI:10.1186/s12885-022-09951-0