RNA, U6 small nuclear 1170, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6-1170P profile across patient tissues and cancer cell-line models. RNU6-1170P expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, RNU6-1170P is differentially expressed in 4, with the highest sampling consensus in STAD. Additionally, RNU6-1170P RNA expression shows 7,868 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight COAD, STAD, and LAML as cancer lineages where RNU6-1170P 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 RNU6-1170P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6-1170P survival associations across molecular data types. RNU6-1170P RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6-1170P RNA expression–survival associations across cancer types. High RNU6-1170P expression shows unfavorable associations in COAD, KICH, MESO and BLCA, but favorable associations in LGG and UCS. The COAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .009). Together, the overview and detailed table identify COAD as the clearest survival context for RNU6-1170P RNA expression.
This table summarizes RNU6-1170P 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6-1170P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-1170P shows lower tumor expression in THCA and LUSC and higher tumor expression in STAD and LUAD. The STAD box plot shows higher RNU6-1170P RNA expression in tumor versus normal tissue (log2 FC = +0.593, t-test p = .006).
This table shows molecular features associated with RNU6-1170P in patient tissues and cancer cell lines. In patient samples, RNU6-1170P shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set.
