小桶
毒理基因组学
转录组
基因
膀胱癌
生物
生物信息学
计算生物学
基因表达
全氟辛酸
生物信息学
癌症
遗传学
生物化学
作者
Shaopei Ye,Qin Liu,Ke Huang,Jiang Xinlu,Xu Zhang
标识
DOI:10.1016/j.ecoenv.2021.113059
摘要
Perfluorinated compounds are emerging organic pollutants widely used in building materials, textiles, and electric equipment. Herein, silico analysis was conducted using bioinformatics approach to assess the potential relationship between bladder cancer and perfluorinated compounds. Transcriptome profiles and data of perfluorinated compounds were obtained from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression and Comparative Toxicogenomics databases. Gene Ontology (GO9 and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that interactive genes were mainly enriched in bladder cancer (BC). Transcriptome profiles were used to verify the expression of m6A-related genes at the mRNA and protein levels. Most m6A-related genes predicted BC prognosis. Survival analysis and ROC curves demonstrated that the expression levels of m6A-related genes were associated with BC prognosis. Perfluorooctanoic acid (PFOA) significantly increased the cell proliferation ability and promoted cell invasion capacity. In addition, PFOA significantly increased the cell viability and cell invasion capacity of T24 and BIU-87 cell lines compared with the control group. Taken together, these results show that perfluorinated compounds could promote BC progression. DATA AVAILABILITY: Data and materials are available within the manuscript.
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