Q-omics provides the consensus-scored EEF1DP8 profile across patient tissues and cancer cell-line models. EEF1DP8 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, EEF1DP8 is differentially expressed in 3, with the highest sampling consensus in KIRC. Additionally, EEF1DP8 RNA expression shows 4,518 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight KIRC, and BRCA as cancer lineages where EEF1DP8 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 EEF1DP8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EEF1DP8 survival associations across molecular data types. EEF1DP8 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EEF1DP8 RNA expression–survival associations across cancer types. High EEF1DP8 expression shows unfavorable associations in KICH, THYM, ESCA and MESO, but favorable associations in KIRC and UCS. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for EEF1DP8 RNA expression.
This table summarizes EEF1DP8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for EEF1DP8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EEF1DP8 shows lower tumor expression in ESCA and higher tumor expression in KIRC and COAD. The KIRC box plot shows higher EEF1DP8 RNA expression in tumor versus normal tissue (log2 FC = +0.042, t-test p = .002).
This table shows molecular features associated with EEF1DP8 in patient tissues and cancer cell lines. In patient samples, EEF1DP8 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set.
