Abstract
Long noncoding RNAs (LncRNAs) are very important in the way that docetaxel resistance (DR) happens in prostate cancer (PCa) patients. ImmuneScore and StromalScore were calculated using PCa-related expression data from TCGA and the ESTIMATE algorithm. We finally found the DEGs that were related to the immune system and the stroma of the patients by making profiles of the DEGs in ImmuneScore and StromalScore. The CancerSubtypes algorithm identified prognosis-related PCa subtypes, and the GSVA assessed their pathway activity. A UniCox regression analysis was used to identify a prognosis-related differential gene set. We then used intersection analysis to identify immunological and prognostic (IP)-related genes (IPGs). The coexpression of long noncoding RNAs (lncRNAs) and IPGs was used to identify IP-related lncRNAs (IPLs). Three methods (SVM-RFE, random forest, and LASSO) were used to find genes that overlap in the GEO database. A gene signature was then validated by building an ROC curve. CIBERSORT technology was used to look at the possibility of a link between the gene signature and immune cells. LncRNA-miRNA pairs and miRNA-mRNA pairs from the miRDB and TargetScan databases were used to construct the ERVH48-1-miR-4784-WNT2B ceRNA regulation network. The concentration of docetaxel elevated the expression of ERVH48-1. Overexpression of ERVH48-1 increased PCa-DR cell proliferation, invasion, and migration while inhibiting apoptosis. ERVH48-1 increased the tumorigenicity of PCa-DR cells in nude mice. ERVH48-1, acting as a ceRNA, targeted miR-4784 to increase WNT2B expression. ICG001 therapy increased Wnt/-catenin signaling activity in PCa-DR cells by inhibiting ERVH48-1. Finally, ERVH48-1 increased docetaxel resistance in a WNT2B-dependent manner via the miR-4784/Wnt/-catenin pathway.