In:
Frontiers in Oncology, Frontiers Media SA, Vol. 11 ( 2021-6-11)
Abstract:
The objective of this study was to construct a competitive endogenous RNA (ceRNA) regulatory network using differentially expressed long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and mRNAs in patients with triple-negative breast cancer (TNBC) and to construct a prognostic model for predicting overall survival (OS) in patients with TNBC. Differentially expressed lncRNAs, miRNAs, and mRNAs in TNBC patients from the TCGA and Metabric databases were examined. A prognostic model based on prognostic scores (PSs) was established for predicting OS in TNBC patients, and the performance of the model was assessed by a recipient that operated on a distinctive curve. A total of 874 differentially expressed RNAs (DERs) were screened, among which 6 lncRNAs, 295 miRNAs and 573 mRNAs were utilized to construct targeted and coexpression ceRNA regulatory networks. Eight differentially expressed genes (DEGs) associated with survival prognosis, DBX2, MYH7, TARDBP, POU4F1, ABCB11, LHFPL5, TRHDE and TIMP4, were identified by multivariate Cox regression and then used to establish a prognostic model. Our study shows that the ceRNA network has a critical role in maintaining the aggressiveness of TNBC and provides comprehensive molecular-level insight for predicting individual mortality hazards for TNBC patients. Our data suggest that these prognostic mRNAs from the ceRNA network are promising therapeutic targets for clinical intervention.
Type of Medium:
Online Resource
ISSN:
2234-943X
DOI:
10.3389/fonc.2021.681946
DOI:
10.3389/fonc.2021.681946.s001
DOI:
10.3389/fonc.2021.681946.s002
DOI:
10.3389/fonc.2021.681946.s003
DOI:
10.3389/fonc.2021.681946.s004
DOI:
10.3389/fonc.2021.681946.s005
DOI:
10.3389/fonc.2021.681946.s006
DOI:
10.3389/fonc.2021.681946.s007
DOI:
10.3389/fonc.2021.681946.s008
Language:
Unknown
Publisher:
Frontiers Media SA
Publication Date:
2021
detail.hit.zdb_id:
2649216-7
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