Q-omics provides the consensus-scored EIF3FP1 profile across patient tissues and cancer cell-line models. EIF3FP1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, EIF3FP1 is differentially expressed in 5, with the highest sampling consensus in LUSC. Additionally, EIF3FP1 RNA expression shows 8,720 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LUSC as cancer lineages where EIF3FP1 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 EIF3FP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF3FP1 survival associations across molecular data types. EIF3FP1 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EIF3FP1 RNA expression–survival associations across cancer types. High EIF3FP1 expression shows unfavorable associations in ACC, UCEC, LIHC, PCPG and KIRP, but favorable associations in READ. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify ACC as the clearest survival context for EIF3FP1 RNA expression.
This table summarizes EIF3FP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for EIF3FP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF3FP1 shows lower tumor expression in UCEC and higher tumor expression in LUSC, LIHC, KIRP and CHOL. The LUSC box plot shows higher EIF3FP1 RNA expression in tumor versus normal tissue (log2 FC = +0.178, t-test p = .007).
This table shows molecular features associated with EIF3FP1 in patient tissues and cancer cell lines. In patient samples, EIF3FP1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
