Q-omics provides the consensus-scored TEPP profile across patient tissues and cancer cell-line models. TEPP expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, TEPP is differentially expressed in 15, with the highest sampling consensus in KICH. Additionally, TEPP RNA expression shows 13,263 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LUAD, KICH, and THYM as cancer lineages where TEPP shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for TEPP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TEPP survival associations across molecular data types. TEPP RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TEPP RNA expression–survival associations across cancer types. High TEPP expression shows unfavorable associations in STAD, COAD and BLCA, but favorable associations in LUAD, THYM and ESCA. The LUAD Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify LUAD as the clearest survival context for TEPP RNA expression.
This table summarizes TEPP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for TEPP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TEPP shows lower tumor expression in KICH, KIRC, BRCA, UCEC, LUAD and COAD. The KICH box plot shows higher TEPP RNA expression in normal versus tumor tissue (log2 FC = −0.662, t-test p < 0.001).
This table shows molecular features associated with TEPP in patient tissues and cancer cell lines. In patient samples, TEPP shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, TEPP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and LARGE_INTESTINE.
