Q-omics provides the consensus-scored EEF1GP7 profile across patient tissues and cancer cell-line models. EEF1GP7 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, EEF1GP7 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, EEF1GP7 RNA expression shows 11,876 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight LIHC, KICH, and LAML as cancer lineages where EEF1GP7 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 EEF1GP7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EEF1GP7 survival associations across molecular data types. EEF1GP7 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EEF1GP7 RNA expression–survival associations across cancer types. High EEF1GP7 expression shows unfavorable associations in LIHC, ACC and THCA, but favorable associations in COAD, UCS and BLCA. The LIHC 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 LIHC as the clearest survival context for EEF1GP7 RNA expression.
This table summarizes EEF1GP7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for EEF1GP7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EEF1GP7 shows lower tumor expression in KICH, THCA, KIRC, READ and BRCA and higher tumor expression in CHOL. The KICH box plot shows higher EEF1GP7 RNA expression in normal versus tumor tissue (log2 FC = −0.283, t-test p < 0.001).
This table shows molecular features associated with EEF1GP7 in patient tissues and cancer cell lines. In patient samples, EEF1GP7 shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set.
