{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Le K"],"funding":["National Natural Science Foundation of China"],"pagination":["15122"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6805880"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(1)"],"pubmed_abstract":["Breast cancer is the most frequently diagnosed malignancy among women, and triple-negative breast cancer (TNBC) is a highly aggressive subtype. Increasing evidence has shown that lncRNAs are involved in tumor growth, cell-cycle, and apoptosis through interactions with miRNAs or mRNAs. However, there is still limited data on ceRNAs involved in the molecular mechanisms underlying TNBC. In this study, we applied the weighted gene co-expression network analysis to the existing microarray mRNA and lncRNA expression data obtained from the breast tissues of TNBC patients to find the hub genes and lncRNAs involved in TNBC. Functional enrichment was performed on the module that correlated with Ki-67 status the most (Turquoise module). The hub genes in the Turquoise module were found to be associate"],"journal":["Scientific reports"],"pubmed_title":["Gene and lncRNA co-expression network analysis reveals novel ceRNA network for triple-negative breast cancer."],"pmcid":["PMC6805880"],"funding_grant_id":["81602350"],"pubmed_authors":["Le K","Xu M","Huang Z","Guo H","Huang X","Yi P","Zhang Q"],"additional_accession":[]},"is_claimable":false,"name":"Gene and lncRNA co-expression network analysis reveals novel ceRNA network for triple-negative breast cancer.","description":"Breast cancer is the most frequently diagnosed malignancy among women, and triple-negative breast cancer (TNBC) is a highly aggressive subtype. Increasing evidence has shown that lncRNAs are involved in tumor growth, cell-cycle, and apoptosis through interactions with miRNAs or mRNAs. However, there is still limited data on ceRNAs involved in the molecular mechanisms underlying TNBC. In this study, we applied the weighted gene co-expression network analysis to the existing microarray mRNA and lncRNA expression data obtained from the breast tissues of TNBC patients to find the hub genes and lncRNAs involved in TNBC. Functional enrichment was performed on the module that correlated with Ki-67 status the most (Turquoise module). The hub genes in the Turquoise module were found to be associate","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Oct","modification":"2026-05-07T03:48:51.405Z","creation":"2019-11-05T08:09:58Z"},"accession":"S-EPMC6805880","cross_references":{"pubmed":["31641220"],"doi":["10.1038/s41598-019-51626-7"]}}