eukaryotic translation initiation factor 4E pseudogene 1Genealiases: EIF4EL2 · dJ1022P6.3
Q-omics provides the consensus-scored EIF4EP1 profile across patient tissues and cancer cell-line models. EIF4EP1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, EIF4EP1 is differentially expressed in 9, with the highest sampling consensus in COAD. Additionally, EIF4EP1 RNA expression shows 18,393 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight THCA, COAD, and THYM as cancer lineages where EIF4EP1 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 EIF4EP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF4EP1 survival associations across molecular data types. EIF4EP1 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EIF4EP1 RNA expression–survival associations across cancer types. High EIF4EP1 expression shows unfavorable associations in THCA, CESC and LGG, but favorable associations in ACC, HNSC and READ. The THCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify THCA as the clearest survival context for EIF4EP1 RNA expression.
This table summarizes EIF4EP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for EIF4EP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF4EP1 shows lower tumor expression in LUSC and higher tumor expression in COAD, READ, STAD, HNSC and UCEC. The COAD box plot shows higher EIF4EP1 RNA expression in tumor versus normal tissue (log2 FC = +0.925, t-test p < 0.001).
This table shows molecular features associated with EIF4EP1 in patient tissues and cancer cell lines. In patient samples, EIF4EP1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
