Highlights ■ miRWalk had the highest predicted interactions and validated miRNA networks in HNSCC. ■ Around 3.3% of interactions overlapped across tools, emphasizing the need for multitool approaches. ■ Dysregulated genes and miRNAs were tied to cancerdriving PI3K-Akt and Wnt pathways. ■ The validated approach highlights the importance of integrating computational and molecular data. ABSTRACT Objective: Head and neck squamous cell carcinoma (HNSCC) has a poor prognosis largely due to late diagnosis and a lack of reliable biomarkers. MicroRNAs (miRNAs), […]