Bioinformatics analysis of the relationship between curcumin and prognosis of non-small cell lung cancer

CUI Haitao; WANG Ruihong; ZHAO Peng; ZHAO Xiaowen; WANG Ye

doi:10.3969/j.issn.1009-0460.2023.10.004

Abstract：Objective To investigate the effect of curcumin on the prognosis of patients with non-small cell lung cancer(NSCLC)by regulating the expression of iron death related genes.Methods A549 cells were treated with 50 μmol/L curcumin and equal volume DMSO for 24 h,then transcriptome sequencing was performed and differential expression gene enrichment analysis(GSEA)was performed.Protein interaction(PPI)analysis and weighted gene co-expression network(WGCNA)analysis were performed to obtain the gene set and expression level associated with iron death.Cancer and tumor genome(TCGA)database( NSCLC queue tissue adjacent to carcinoma and transcriptome data,and the corresponding clinical and prognostic information,the sample data set contains 1017 patients and 108 normal samples,The transcriptome data treated with curcumin were mutually verified.Results WGCNA analysis showed that brown4 module was significantly correlated with PI3K-AKT-mTOR pathway,and brown4 module gene,differentially expressed gene and iron-death related gene set analysis showed a total of 23 intersection genes.The result of prognosis analysis showed that ACSL3,BACH1,FTH1 and SLC11A2 genes were related to the prognosis of NSCLC patients,and their expressions were significantly different before and after curcumin treatment.Immunoinfiltration analysis showed that macrophage infiltration level was positively correlated with ACSL3,BACH1 and SLC11A2,and negatively correlated with FTH1.Conclusion By integrating transcriptomics and TCGA public database data,curcumin can improve the prognosis of patients by interfering with the expression of genes related to iron death.