Reannotation of Public Transcriptomic Data Identifies Candidate lncRNAs and Putative Regulatory Networks in Rhabdomyosarcoma

Background/Objectives: Rhabdomyosarcoma (RMS), the most common pediatric soft tissue sarcoma, includes two main subtypes, embryonal (eRMS) and alveolar (aRMS), each with distinct molecular and clinical characteristics. Although cellular processes underlying RMS and differences between PAX3-FOXO1 fusion-positive and fusion-negative tumors are well known, the contribution of long noncoding RNAs (lncRNAs) remains poorly understood. Methods: Here, we reannotated publicly available microarray datasets to comprehensively profile lncRNA expression and reconstruct lncRNA–miRNA–mRNA regulatory networks in RMS. Results: We identified several lncRNAs with subtype-specific differential expression, including HOTAIR as a potential sponge for miR-206, DSCR8 for miR-885-5p, and PRKCQ-AS1 for miR-515-5p in eRMS. Database-supported interaction analyses identified putative regulatory relationships between these lncRNAs and cancer-related miRNAs and mRNAs. Validation using the St. Jude Cloud PeCan platform confirmed distinct lncRNA expression signatures across RMS subtypes and other pediatric solid tumors, supporting subtype-specific regulation. Conclusions: Our findings provide an updated characterization of the lncRNA landscape in RMS and identify candidate lncRNA–miRNA–mRNA regulatory networks that may contribute to disease biology. The proposed regulatory interactions are hypothesis-generating and require experimental validation. Overall, our findings provide a resource for future functional studies and support the investigation of lncRNAs as potential biomarkers and therapeutic targets in RMS.