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), […]

ABSTRACT Objective To investigate the possible genes that may be related to the mechanisms that modulate heparanase-1. Methods The analysis was conducted at Universidade Federal de São Paulo, on the data provided by: The Cancer Genome Atlas, University of California Santa Cruz Genome Browser, Kyoto Encyclopedia of Genes and Genomes Pathway Database, Database for Annotation, Visualization and Integrated Discovery Bioinformatics Database and the softwares cBioPortal and Ingenuity Pathway Analysis. Results Using messenger RNA expression pattern of different molecular subtypes of […]