Objective To analyze the expression and clinical treatment and prognosis assessment significance of FAM83H-AS1 in breast cancer by bioinformatics analysis.Methods The expression of FAM83H-AS1 in various cancer types was analyzed in the Cancer Genome Atlas(TCGA)database by R language.Additionally the expression in breast cancer was examined by Gene Expression Profiling Interactive Analysis(GEPIA)online database.Survival data were downloaded from TCGA to analyze the correlation between FAM83H-AS1 expression levels and prognosis among breast cancer patients.GEPIA and Kaplan-Meier Plotter were used for dual verification.Clinical information was obtained from TCGA for further analysis on the relationship between FAM83H-AS1 and clinical characteristics.And the relationship between FAM83H-AS1 and tumor microenvironment,immunodetection point-related genes and tumor mutation burden(TMB)was analyzed using R language.Gene set enrichment analysis(GSEA)was performed.Results The expression of FAM83H-AS1 was abnormal in many cancers,particularly exhibiting a significant increase in breast cancer.High expression of FAM83H-AS1 is associated with significantly reduced overall survival in breast cancer patients.Furthermore,the expression level of FAM83H-AS1 varies among breast cancer patients with different clinical stages.FAM83H-AS1 exhibits negative correlation with stromal cell score and immune cell score in breast cancer samples,and correlated with immune detection point-related gene.TMB radar map results suggest that the expression of FAM83H-AS1 in breast cancer is positively correlated with tumor mutational burden.GSEA revealed a positive correlation between the expression of FAM83H-AS1 and the function of mismatch repair.Conclusion FAM83H-AS1 is highly expressed in breast cancer,and is related to poor prognosis.Its expression correlates with clinicopathological stage,tumor microenvironment and TMB of breast cancer patients.Furthermore,FAM83H-AS1 exhibits associations with certain immune checkpoint-related genes and mismatch repair genes.These findings provide a important theoretical basis for clinical treatment,prognosis prediction and development of gene-target drugs.
维普
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