GEPIA 2 is an interactive gene expression dataset and analysis resource built from TCGA cancer data, providing tumor profiles across many cancer types including ACC, BLCA, BRCA, CESC, CHOL, COAD, DLBC, ESCA, GBM, HNSC, KICH, KIRC, KIRP, LAML, LGG, LIHC, LUAD, LUSC, MESO, OV, PAAD, PCPG, PRAD, READ, SARC, SKCM, STAD, TGCT, THCA, THYM, UCEC, UCS, and UVM. It contains gene and isoform expression information linked to clinical outcomes and supports applications such as differential expression, survival and correlation analysis, similar gene detection, dimensionality reduction, expression comparison, deconvolution, and cancer subtype classification.