RNA, U6 small nuclear 956, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6-956P profile across patient tissues and cancer cell-line models. RNU6-956P expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, RNU6-956P is differentially expressed in 3, with the highest sampling consensus in KIRC. Additionally, RNU6-956P RNA expression shows 9,433 significant gene co-expression associations, with the highest sampling consensus in COAD. Together, these results highlight UCEC, KIRC, and COAD as cancer lineages where RNU6-956P 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 RNU6-956P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6-956P survival associations across molecular data types. RNU6-956P RNA expression shows survival associations in the most cancer types (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6-956P RNA expression–survival associations across cancer types. High RNU6-956P expression shows unfavorable associations in UCEC, LUSC, CESC, KIRP, GBM and SARC. The UCEC 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 UCEC as the clearest survival context for RNU6-956P RNA expression.
This table summarizes RNU6-956P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6-956P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-956P shows lower tumor expression in KIRC, KICH and BRCA. The KIRC box plot shows higher RNU6-956P RNA expression in normal versus tumor tissue (log2 FC = −0.374, t-test p < 0.001).
This table shows molecular features associated with RNU6-956P in patient tissues and cancer cell lines. In patient samples, RNU6-956P shows the broadest associations at the RNA and protein expression levels, with COAD recurring as the lineage with the largest associated feature set.
