Multi-omics Study On The Mechanism Of TERT-related Molecular Networks In Breast Cancer

Objective: Studies at home and abroad have shown that TERT gene expression is related to a variety of tumors.Analyze the expression and biological effects of TERT gene in breast malignant tumors through the data in the TCGA database.Methods:(1)Download breast cancer gene expression and clinical data from the TCGA database.(2)Use the R software package to analyze the correlation between differences in TERT expression in downloaded data and patient prognosis.(3)Use co.-Expression network and Linked Omicsonline database analyze co-expressed genes and potential regulatory m RNA molecules of the TERT gene.(4)The Spearman and CIBERSORT algorithms are used to analyze the correlation between TERT and the tumor microenvironment.(5)Use the GDSC online database to analyze the sensitivity of the TERT gene and common chemotherapeutic agents.(6)Analyze the signaling pathways that TERT may participate in through GSEA enrichment.Results:(1)Expression of TERT was increased in tumor samples(P = 2.223e-23).TERT expression was significant when rank statistics were selected based on maximum expression(P= 0.0001).TERT and patient gender/stage/N staging have important implications.(2)Univariate and multivariate Cox analysis showed that age(P <0.001,HR = 1.038)is a risk factor for breast cancer patients.(3)Co-expression and Linked Omics database analysis results show that TERT expression is positively correlated with 5 genes such as ALKAL1,CNPY1,FSD1,GF1 B and HMGB1P1 and negative with 5 genes such as DERA,MCM5 and AC004858.1.It shows that there is a correlation of.,SLCTA14,and CACNA1G-AS1.It is positively correlated with the5 mi RNAs: hsa-mir-1245,hsa-mir-337,hsa-mir-10 b,hsa-mir-199a-1,hsa-mir-377.(4)CIBERSORT algorithm and Spearman correlation coefficient analysis showed that TERT was significantly positively correlated with T cell CD4 memory activation,macrophages M0 and macrophage M1,and significantly negatively correlated with mast cell rest and T cell CD4 memory rest.(5)Analysis of the GDSC database showed expression of TERT and dasatinib(P = 4.5e-06),gemcitabine(P = 4.3e-08),erlotinib(P = 0.0011)and imatinib(P = 4.5e-06).it was done.(6)GSEA pathway enrichment analysis shows that TERT can be enriched by ribonucleic acid polymerase,mismatch repair,and primary immunodeficiency signaling pathways.Conclusions: TERT gene expression is highly expressed in breast cancer patients and is associated with a poor patient prognosis,indicating that the TERT gene is a target for breast cancer etiology,diagnosis,and treatment.