Bioinformatics analysis for the identification of key genes and long non-coding RNAs related to bone metastasis in breast cancer.

ABSTRACT: The molecular mechanism of bone metastasis in breast cancer is largely unknown. Herein, we aimed to identify the key genes and long non-coding RNAs (lncRNAs) related to the bone metastasis of breast cancer using a bioinformatics approach. We screened differentially expressed genes and lncRNAs between normal breast and breast cancer bone metastasis samples using the GSE66206 dataset from the Gene Expression Omnibus. We also constructed a differentially expressed lncRNA-mRNA interaction network and analyzed the node degrees to identify the driving genes. After finding potential pathogenic modules of breast cancer bone metastasis, we identified breast cancer bone metastasis-related modules and functional enrichment analysis of the genes and lncRNAs in the modules. Based on the above analysis,

SUBMITTER: Teng X 

PROVIDER: S-EPMC8312419 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature