Q-omics provides the consensus-scored EIF4A1P8 profile across patient tissues and cancer cell-line models. EIF4A1P8 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, EIF4A1P8 is differentially expressed in 4, with the highest sampling consensus in HNSC. Additionally, EIF4A1P8 RNA expression shows 7,786 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where EIF4A1P8 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 EIF4A1P8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF4A1P8 survival associations across molecular data types. EIF4A1P8 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 EIF4A1P8 RNA expression–survival associations across cancer types. High EIF4A1P8 expression shows unfavorable associations in ACC, LIHC, THYM and MESO, but favorable associations in UCS and BRCA. 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 EIF4A1P8 RNA expression.
This table summarizes EIF4A1P8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for EIF4A1P8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF4A1P8 shows lower tumor expression in THCA and higher tumor expression in HNSC, COAD and LIHC. The HNSC box plot shows higher EIF4A1P8 RNA expression in tumor versus normal tissue (log2 FC = +0.049, t-test p = .006).
This table shows molecular features associated with EIF4A1P8 in patient tissues and cancer cell lines. In patient samples, EIF4A1P8 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
