Q-omics provides the consensus-scored EIF1P7 profile across patient tissues and cancer cell-line models. EIF1P7 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, EIF1P7 is differentially expressed in 7, with the highest sampling consensus in COAD. Additionally, EIF1P7 RNA expression shows 10,812 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight SKCM, COAD, and LSCC as cancer lineages where EIF1P7 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 EIF1P7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EIF1P7 survival associations across molecular data types. EIF1P7 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EIF1P7 RNA expression–survival associations across cancer types. High EIF1P7 expression shows unfavorable associations in CESC, KIRC and ACC, but favorable associations in SKCM, CHOL and LUSC. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify SKCM as the clearest survival context for EIF1P7 RNA expression.
This table summarizes EIF1P7 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 COAD for RNA.
This table ranks reproducible tumor–normal expression differences for EIF1P7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EIF1P7 shows lower tumor expression in PAAD and THCA and higher tumor expression in COAD, LIHC, HNSC and KIRC. The COAD box plot shows higher EIF1P7 RNA expression in tumor versus normal tissue (log2 FC = +0.405, t-test p = .001).
This table shows molecular features associated with EIF1P7 in patient tissues and cancer cell lines. In patient samples, EIF1P7 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
