eukaryotic translation initiation factor 4E family member 1BGenealiases: []
Q-omics provides the consensus-scored EIF4E1B profile across patient tissues and cancer cell-line models. EIF4E1B expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, EIF4E1B is differentially expressed in 5, with the highest sampling consensus in BRCA. Additionally, EIF4E1B RNA expression shows 10,345 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCEC, BRCA, and GBM as cancer lineages where EIF4E1B 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 EIF4E1B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF4E1B survival associations across molecular data types. EIF4E1B RNA expression shows survival associations in the most cancer types (19), 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 EIF4E1B RNA expression–survival associations across cancer types. High EIF4E1B expression shows unfavorable associations in UCEC, LIHC and KICH, but favorable associations in CESC, LGG and CHOL. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify UCEC as the clearest survival context for EIF4E1B RNA expression.
This table summarizes EIF4E1B tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for EIF4E1B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF4E1B shows lower tumor expression in COAD, KIRC and KICH and higher tumor expression in BRCA and LUAD. The BRCA box plot shows higher EIF4E1B RNA expression in tumor versus normal tissue (log2 FC = +0.187, t-test p < 0.001).
This table shows molecular features associated with EIF4E1B in patient tissues and cancer cell lines. In patient samples, EIF4E1B shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, EIF4E1B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in SKIN and OVARY.
