Q-omics provides the consensus-scored SENP3-EIF4A1 profile across patient tissues and cancer cell-line models. SENP3-EIF4A1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SENP3-EIF4A1 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, SENP3-EIF4A1 RNA expression shows 16,404 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight KIRC, HNSC, and KIRP as cancer lineages where SENP3-EIF4A1 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 SENP3-EIF4A1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SENP3-EIF4A1 survival associations across molecular data types. SENP3-EIF4A1 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SENP3-EIF4A1 RNA expression–survival associations across cancer types. High SENP3-EIF4A1 expression shows unfavorable associations in KIRC, LIHC, ACC, LGG, SKCM and OV. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify KIRC as the clearest survival context for SENP3-EIF4A1 RNA expression.
This table summarizes SENP3-EIF4A1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SENP3-EIF4A1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SENP3-EIF4A1 shows higher tumor expression in HNSC, KIRC, BLCA, UCEC, COAD and KIRP. The HNSC box plot shows higher SENP3-EIF4A1 RNA expression in tumor versus normal tissue (log2 FC = +0.117, t-test p < 0.001).
This table shows molecular features associated with SENP3-EIF4A1 in patient tissues and cancer cell lines. In patient samples, SENP3-EIF4A1 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, SENP3-EIF4A1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST.
