Q-omics provides the consensus-scored EIF4A2P3 profile across patient tissues and cancer cell-line models. EIF4A2P3 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, EIF4A2P3 is differentially expressed in 7, with the highest sampling consensus in UCEC. Additionally, EIF4A2P3 RNA expression shows 15,036 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, UCEC, and THYM as cancer lineages where EIF4A2P3 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 EIF4A2P3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF4A2P3 survival associations across molecular data types. EIF4A2P3 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EIF4A2P3 RNA expression–survival associations across cancer types. High EIF4A2P3 expression shows unfavorable associations in ACC, STAD and CESC, but favorable associations in KIRC, SKCM and COAD. 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 EIF4A2P3 RNA expression.
This table summarizes EIF4A2P3 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 BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for EIF4A2P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF4A2P3 shows lower tumor expression in UCEC and BRCA and higher tumor expression in LIHC, CHOL, KICH and COAD. The UCEC box plot shows higher EIF4A2P3 RNA expression in normal versus tumor tissue (log2 FC = −0.356, t-test p = .016).
This table shows molecular features associated with EIF4A2P3 in patient tissues and cancer cell lines. In patient samples, EIF4A2P3 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
