SLC16A1 and cancer: Recognizing the pivotal role of pathological staging in prognosis assessment, we conducted a comprehensive analysis using GEPIA2 (http://gepia2.cancer-pku.cn/#index) [144], a prominent online tool for gene expression analysis in cancer, to investigate the correlation between SLC16A1-AS1 expression levels and pathological staging across various tumors.