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Prognostic Model Construction and Immune Microenvironment Analysis of Breast Cancer Based on Ferroptosis-Related lncRNAs

To construct a prognostic model of breast cancer using ferroptosis-related lncRNAs and explore novel therapeutic targets. A prognostic characteristic model based on differential expression of ferroptosis-related lncRNAs in breast cancer was established based on TCGA data. Eleven ferroptosis-related...

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Bibliographic Details
Published in:International journal of general medicine 2021-01, Vol.14, p.9817-9831
Main Authors: Jia, Cong Li, Yang, Fu, Li, Ruining
Format: Article
Language:English
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Summary:To construct a prognostic model of breast cancer using ferroptosis-related lncRNAs and explore novel therapeutic targets. A prognostic characteristic model based on differential expression of ferroptosis-related lncRNAs in breast cancer was established based on TCGA data. Eleven ferroptosis-related lncRNAs associated with breast cancer prognosis were identified. Kaplan-Meier analysis suggested that high-risk lncRNA signatures correspond to a poor prognosis. The AUC of the signature lncRNAs was 0.682, demonstrating that it is accurate in predicting BC prognosis. GSEA showed that ferroptosis-related lncRNAs in high-risk individuals are mainly enriched in cell cycle, cell adhesion and tumor pathways. Immunity and gene expression analysis revealed that APC co-inhibition, check-point, HLA, inflammation-promoting and T cell co-stimulation among others were significantly different between the high-and low-risk group. Three immune checkpoints were highly expressed in the high-risk group. Ferroptosis-related lncRNAs can be used as a prognostic feature to construct a prognostic model of breast cancer, based on which early detection markers, therapeutic targets and anti-tumor immune microenvironment can be studied, and clinical treatment can also be instructive.
ISSN:1178-7074
1178-7074
DOI:10.2147/IJGM.S342783