RNA, U4 small nuclear 39, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU4-39P profile across patient tissues and cancer cell-line models. RNU4-39P expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, RNU4-39P is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, RNU4-39P RNA expression shows 14,667 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, KICH, and UVM as cancer lineages where RNU4-39P 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 RNU4-39P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU4-39P survival associations across molecular data types. RNU4-39P RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU4-39P RNA expression–survival associations across cancer types. High RNU4-39P expression shows unfavorable associations in KIRC and ACC, but favorable associations in HNSC, UCEC, PAAD and READ. 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 RNU4-39P RNA expression.
This table summarizes RNU4-39P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RNU4-39P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU4-39P shows lower tumor expression in KICH, THCA and COAD and higher tumor expression in HNSC, STAD and CHOL. The KICH box plot shows higher RNU4-39P RNA expression in normal versus tumor tissue (log2 FC = −0.838, t-test p < 0.001).
This table shows molecular features associated with RNU4-39P in patient tissues and cancer cell lines. In patient samples, RNU4-39P shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
