RNA, U5E small nuclear 4, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU5E-4P profile across patient tissues and cancer cell-line models. RNU5E-4P expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RNU5E-4P is differentially expressed in 6, with the highest sampling consensus in THCA. Additionally, RNU5E-4P RNA expression shows 6,436 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight KICH, THCA, and STAD as cancer lineages where RNU5E-4P 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 RNU5E-4P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU5E-4P survival associations across molecular data types. RNU5E-4P RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU5E-4P RNA expression–survival associations across cancer types. High RNU5E-4P expression shows unfavorable associations in KICH, KIRC, ACC, CHOL, LIHC and ESCA. The KICH 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 KICH as the clearest survival context for RNU5E-4P RNA expression.
This table summarizes RNU5E-4P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RNU5E-4P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU5E-4P shows lower tumor expression in THCA, HNSC, KIRC and KICH and higher tumor expression in PAAD and UCEC. The THCA box plot shows higher RNU5E-4P RNA expression in normal versus tumor tissue (log2 FC = −0.694, t-test p < 0.001).
This table shows molecular features associated with RNU5E-4P in patient tissues and cancer cell lines. In patient samples, RNU5E-4P shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
