Q-omics provides the consensus-scored EEF1A1P17 profile across patient tissues and cancer cell-line models. EEF1A1P17 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, EEF1A1P17 is differentially expressed in 5, with the highest sampling consensus in KICH. Additionally, EEF1A1P17 RNA expression shows 14,335 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight THCA, KICH, and ACC as cancer lineages where EEF1A1P17 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 EEF1A1P17 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EEF1A1P17 survival associations across molecular data types. EEF1A1P17 RNA expression shows survival associations in the most cancer types (26). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EEF1A1P17 RNA expression–survival associations across cancer types. High EEF1A1P17 expression shows unfavorable associations in ACC and KICH, but favorable associations in THCA, SKCM, READ and KIRC. The THCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .003). Together, the overview and detailed table identify THCA as the clearest survival context for EEF1A1P17 RNA expression.
This table summarizes EEF1A1P17 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for EEF1A1P17. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EEF1A1P17 shows lower tumor expression in KICH, BLCA and BRCA and higher tumor expression in COAD and LIHC. The KICH box plot shows higher EEF1A1P17 RNA expression in normal versus tumor tissue (log2 FC = −0.291, t-test p < 0.001).
This table shows molecular features associated with EEF1A1P17 in patient tissues and cancer cell lines. In patient samples, EEF1A1P17 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
