The SLC26A4-AS1/NTRK2 axis in breast cancer: insights into the ceRNA network and implications for prognosis and immune microenvironment.

Abstract

Breast cancer is a leading malignancy in women, with mortality disparities between developed and underdeveloped regions. Accumulating evidence suggests that the competitive endogenous RNA (ceRNA) regulatory networks play paramount roles in various human cancers. However, the complexity and behavior characteristics of the ceRNA network in breast cancer progression have not been fully elucidated. The expression profiles of three RNAs (long non-coding RNAs [lncRNAs], microRNAs [miRNAs], and mRNAs) were extracted from breast cancer and adjacent samples were sourced from the TCGA database. The SLC26A4-AS1- hsa-miR-19a-3p-NTRK2 ceRNA network related to the prognosis of breast cancer was obtained by performing bioinformatics analysis. Importantly, we identified the SLC26A4-AS1/NTRK2 axis within the ceRNA network through correlation analysis and found it to be a potential prognostic model in clinical outcomes based on Cox regression analysis. Moreover, methylation analysis suggests that the aberrant downregulation of the SLC26A4-AS1/NTRK2 axis might be attributed to hypermethylation at specific sites. Immune infiltration analysis indicates that the SLC26A4-AS1/NTRK2 axis may have implications for the alteration of the tumor immune microenvironment and the emergence and progression of immune evasion in breast cancer. Finally, we validated the expression of SLC26A4-AS1-hsa-miR-19a-3p-NTRK2 in breast cancer cell lines. In summary, the present study posits that the SLC26A4-AS1/NTRK2 axis, based on the ceRNA network, could be a novel and significant prognostic factor associated with breast cancer diagnosis and outcomes.