Q-omics provides the consensus-scored EIF1P1 profile across patient tissues and cancer cell-line models. EIF1P1 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, EIF1P1 is differentially expressed in 1, with the highest sampling consensus in COAD. Additionally, EIF1P1 RNA expression shows 6,088 significant pathway-activity associations, with the highest sampling consensus in KIRC. Together, these results highlight HNSC, COAD, and KIRC as cancer lineages where EIF1P1 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 EIF1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF1P1 survival associations across molecular data types. EIF1P1 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EIF1P1 RNA expression–survival associations across cancer types. High EIF1P1 expression shows unfavorable associations in DLBC, ACC, UCEC, LGG and KIRP, but favorable associations in HNSC. The HNSC 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 HNSC as the clearest survival context for EIF1P1 RNA expression.
This table summarizes EIF1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for EIF1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF1P1 shows higher tumor expression in COAD. The COAD box plot shows higher EIF1P1 RNA expression in tumor versus normal tissue (log2 FC = +0.077, t-test p = .046).
This table shows molecular features associated with EIF1P1 in patient tissues and cancer cell lines. In patient samples, EIF1P1 shows the broadest associations at the RNA and protein expression levels, with KIRC recurring as the lineage with the largest associated feature set.
