eukaryotic translation initiation factor 3 subunit F pseudogene 3Genealiases: []
Q-omics provides the consensus-scored EIF3FP3 profile across patient tissues and cancer cell-line models. EIF3FP3 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, EIF3FP3 is differentially expressed in 4, with the highest sampling consensus in LIHC. Additionally, EIF3FP3 RNA expression shows 14,092 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LIHC as cancer lineages where EIF3FP3 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 EIF3FP3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF3FP3 survival associations across molecular data types. EIF3FP3 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 EIF3FP3 RNA expression–survival associations across cancer types. High EIF3FP3 expression shows unfavorable associations in ACC, LIHC and LUAD, but favorable associations in LGG, UCS and CHOL. 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 EIF3FP3 RNA expression.
This table summarizes EIF3FP3 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 LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for EIF3FP3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF3FP3 shows lower tumor expression in UCEC and BRCA and higher tumor expression in LIHC and CHOL. The LIHC box plot shows higher EIF3FP3 RNA expression in tumor versus normal tissue (log2 FC = +0.816, t-test p < 0.001).
This table shows molecular features associated with EIF3FP3 in patient tissues and cancer cell lines. In patient samples, EIF3FP3 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
