Q-omics provides the consensus-scored EIF4A2P2 profile across patient tissues and cancer cell-line models. EIF4A2P2 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, EIF4A2P2 is differentially expressed in 9, with the highest sampling consensus in BLCA. Additionally, EIF4A2P2 RNA expression shows 16,821 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and BLCA as cancer lineages where EIF4A2P2 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 EIF4A2P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF4A2P2 survival associations across molecular data types. EIF4A2P2 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EIF4A2P2 RNA expression–survival associations across cancer types. High EIF4A2P2 expression shows unfavorable associations in ACC, LIHC and SKCM, but favorable associations in LGG, ESCA and MESO. 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 EIF4A2P2 RNA expression.
This table summarizes EIF4A2P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for EIF4A2P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF4A2P2 shows higher tumor expression in BLCA, LIHC, BRCA, CHOL, READ and STAD. The BLCA box plot shows higher EIF4A2P2 RNA expression in tumor versus normal tissue (log2 FC = +0.181, t-test p = .013).
This table shows molecular features associated with EIF4A2P2 in patient tissues and cancer cell lines. In patient samples, EIF4A2P2 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
