Systematic analysis of the oncogenic role of FAM83D across cancers based on data mining

Family with sequence similarity of 83D (FAM83D) is overexpressed in various cancers. However, no pan-cancer analysis is presently available. In the present study, we used a bioinformatics analysis to explore the diagnostic and prognostic value of FAM83D expression levels in human cancers. The GEPIA...

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Bibliographic Details
Published in:Cell cycle (Georgetown, Tex.) Tex.), 2023-04, Vol.22 (8), p.1005-1019
Main Authors: Geng, Yan, Liu, Jing, Wang, Zichuan, Liu, Tianzi, Peng, Xintong, Huang, Yan
Format: Article
Language:English
Subjects:
Adenocarcinoma
Autophagic Punctum
bioinformatics analysis
biomarker
Carcinoma, Hepatocellular
Carcinoma, Renal Cell
Cell Cycle Proteins
Data Mining
differential expression
FAM83D
Humans
Kidney Neoplasms
Liver Neoplasms
Lung Neoplasms
Microtubule-Associated Proteins
pan-cancer
Pancreatic Neoplasms
prognostic value
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Summary:Family with sequence similarity of 83D (FAM83D) is overexpressed in various cancers. However, no pan-cancer analysis is presently available. In the present study, we used a bioinformatics analysis to explore the diagnostic and prognostic value of FAM83D expression levels in human cancers. The GEPIA 2, TIMER 2.0, ENCORI, and DriverDBV3 databases were used to evaluate FAM83D expression levels. The potential prognostic value of FAM83D expression was analyzed using the GEPIA 2, UALCAN, and TISIB databases. The driver gene and promoter methylation levels regarding FAM83D were evaluated using the TIMER 2.0 and UALCAN databases. To further analyze interactive networks for FAM83D, FAM83D-binding proteins and related genes were determined using STRING and Gene MANIA analytic tools. Highly expressed FAM83D could be associated with mutated TP53 and promoter DNA methylation. Relative network analysis suggested that FAM83D was mainly involved in the progesterone-mediated oocyte maturation pathway, cell cycle regulation, and several other signaling pathways. Therefore, the differential expression of FAM83D could serve as a diagnostic and prognostic biomarker for various cancers. Our study revealed useful information about the differential expression of FAM83D, prognostic values, and potential functional networks in a variety of cancers, providing valuable substantive and methodological information to explore the underlying mechanisms. Abbreviations: BP: Biological processes; CC: Cellular components; DAVID: Database for Annotation, Visualization, and Integrated Discovery; DFS: Disease-free survival; ENCORI: Encyclopedia of RNA Interactomes; FAM83: Family with sequence similarity 83; FAM83D: Family with sequence similarity of 83D; GEO: Gene Expression Omnibus; GEPIAx2: Gene Expression Profiling Interactive Analysis 2; GO: Gene Ontology; GTEx: Genotype-Tissue Expression; KEGG: Kyoto Encyclopedia of Genes and Genomes; KIRC: Kidney renal clear cell carcinoma; LIHC: Liver hepatocellular carcinoma; LUAD: Lung adenocarcinoma; MF: Molecular functions miRNA: microRNA; OS: Overall survival; PAAD: Pancreatic adenocarcinoma; PPI: Protein - protein interaction; RNA-seq: RNA-sequencing; TCGA: The Cancer Genome Atlas; TIMER 2.0: Tumor Immune Estimation Resource 2.0; UALCAN: University of Alabama at Birmingham Cancer; UCEC: Uterine corpus endometrial carcinoma.
ISSN:1538-4101
1551-4005
DOI:10.1080/15384101.2023.2171224