RNA, U1 small nuclear 14, pseudogeneGenealiases: RNU1P7 · U1P17
Q-omics provides the consensus-scored RNU1-14P profile across patient tissues and cancer cell-line models. RNU1-14P expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, RNU1-14P is differentially expressed in 4, with the highest sampling consensus in KIRC. Additionally, RNU1-14P RNA expression shows 15,403 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight SKCM, KIRC, and KIRP as cancer lineages where RNU1-14P 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 RNU1-14P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU1-14P survival associations across molecular data types. RNU1-14P RNA expression shows survival associations in the most cancer types (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU1-14P RNA expression–survival associations across cancer types. High RNU1-14P expression shows unfavorable associations in SKCM, ACC, BLCA, LIHC and TGCT, but favorable associations in KIRP. The SKCM 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 SKCM as the clearest survival context for RNU1-14P RNA expression.
This table summarizes RNU1-14P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU1-14P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU1-14P shows lower tumor expression in KICH and higher tumor expression in KIRC, KIRP and BRCA. The KIRC box plot shows higher RNU1-14P RNA expression in tumor versus normal tissue (log2 FC = +2.985, t-test p < 0.001).
This table shows molecular features associated with RNU1-14P in patient tissues and cancer cell lines. In patient samples, RNU1-14P shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
