Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology

Abstract Background: SELPLG, which encodes P-selectin glycoprotein ligand-1, has emerged as a potential oncological target. A comprehensive understanding of its expression patterns across various cancer types and stages is crucial for elucidating its prognostic, therapeutic, and immunological roles. Methods: We conducted an extensive bioinformatics analysis using multiple computational tools. TIMER2 was employed to quantify SELPLG mRNA expression in both tumor and normal tissues across diverse cancer types. Expression differences were further analyzed across clinical TNM stages and T stages. To