Q-omics provides the consensus-scored EEF1E1P1 profile across patient tissues and cancer cell-line models. EEF1E1P1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, EEF1E1P1 is differentially expressed in 16, with the highest sampling consensus in BLCA. Additionally, EEF1E1P1 RNA expression shows 17,259 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and BLCA as cancer lineages where EEF1E1P1 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 EEF1E1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EEF1E1P1 survival associations across molecular data types. EEF1E1P1 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 EEF1E1P1 RNA expression–survival associations across cancer types. High EEF1E1P1 expression shows unfavorable associations in ACC, KIRP, READ, LIHC and THCA, but favorable associations in OV. The ACC 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 ACC as the clearest survival context for EEF1E1P1 RNA expression.
This table summarizes EEF1E1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for EEF1E1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EEF1E1P1 shows lower tumor expression in KICH and higher tumor expression in BLCA, LIHC, COAD, LUAD and HNSC. The BLCA box plot shows higher EEF1E1P1 RNA expression in tumor versus normal tissue (log2 FC = +0.820, t-test p < 0.001).
This table shows molecular features associated with EEF1E1P1 in patient tissues and cancer cell lines. In patient samples, EEF1E1P1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
