Ecotoxicology and Environmental Safety · 2021 · 42 citations · 19 references
MedicineBioinformaticsOncologyCarcinogenesisMolecular OncologyMolecular ToxicologyBladder CancerCancer BiomarkersCancer GenomicsChemical CarcinogenesisEnvironmental CarcinogenesisMolecular Mechanisms Of ToxicityCancer BioinformaticsCell Invasion MechanismsCell Viability AssaysMolecular Mechanisms Of CarcinogenesisPerfluoroalkyl SubstancesTissue-specific Expression SignaturesTranscriptome AnalysisTumor Cell Proliferation
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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YTHDC1 mediates nuclear export of N6-methyladenosine methylated mRNAs
Ian A. Roundtree, Guan‐Zheng Luo, Zijie Zhang et al. · eLife · 2017 · 1.2K citations · Full text
Structural basis for selective binding of m6A RNA by the YTHDC1 YTH domain
Chao Xu, Xiao Wang, Ke Liu et al. · Nature Chemical Biology · 2014 · 708 citations