Q-omics provides the consensus-scored EPOP profile across patient tissues and cancer cell-line models. EPOP expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, EPOP is differentially expressed in 15, with the highest sampling consensus in COAD. Additionally, EPOP RNA expression shows 21,380 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRP, COAD, and LSCC as cancer lineages where EPOP 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 EPOP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EPOP survival associations across molecular data types. EPOP RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EPOP RNA expression–survival associations across cancer types. High EPOP expression shows unfavorable associations in KIRP, KIRC, UVM, MESO and ACC, but favorable associations in LGG. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRP as the clearest survival context for EPOP RNA expression.
This table summarizes EPOP 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 COAD for RNA.
This table ranks reproducible tumor–normal expression differences for EPOP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EPOP shows higher tumor expression in COAD, KIRP, LUAD, THCA, KIRC and LUSC. The COAD box plot shows higher EPOP RNA expression in tumor versus normal tissue (log2 FC = +2.728, t-test p < 0.001).
This table shows molecular features associated with EPOP in patient tissues and cancer cell lines. In patient samples, EPOP shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, EPOP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BONE.
