Q-omics provides the consensus-scored EIF3EP1 profile across patient tissues and cancer cell-line models. EIF3EP1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, EIF3EP1 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, EIF3EP1 RNA expression shows 20,697 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight STAD, HNSC, and UVM as cancer lineages where EIF3EP1 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 EIF3EP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF3EP1 survival associations across molecular data types. EIF3EP1 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 EIF3EP1 RNA expression–survival associations across cancer types. High EIF3EP1 expression shows unfavorable associations in STAD, KICH and ACC, but favorable associations in CESC, LUAD and SKCM. The STAD 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 STAD as the clearest survival context for EIF3EP1 RNA expression.
This table summarizes EIF3EP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for EIF3EP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF3EP1 shows lower tumor expression in KICH, BRCA, UCEC and THCA and higher tumor expression in HNSC and CHOL. The HNSC box plot shows higher EIF3EP1 RNA expression in tumor versus normal tissue (log2 FC = +1.351, t-test p < 0.001).
This table shows molecular features associated with EIF3EP1 in patient tissues and cancer cell lines. In patient samples, EIF3EP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
