RNA, U6atac small nuclear 29, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6ATAC29P profile across patient tissues and cancer cell-line models. RNU6ATAC29P expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in OV. Among the 18 cancer types available for tumor–normal comparison, RNU6ATAC29P is differentially expressed in 1, with the highest sampling consensus in KIRC. Additionally, RNU6ATAC29P RNA expression shows 7,152 significant gene co-expression associations, with the highest sampling consensus in LUAD. Together, these results highlight OV, KIRC, and LUAD as cancer lineages where RNU6ATAC29P 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 RNU6ATAC29P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6ATAC29P survival associations across molecular data types. RNU6ATAC29P 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 RNU6ATAC29P RNA expression–survival associations across cancer types. High RNU6ATAC29P expression shows unfavorable associations in ACC, THCA, LIHC and KIRC, but favorable associations in OV and STAD. The OV 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 OV as the clearest survival context for RNU6ATAC29P RNA expression.
This table summarizes RNU6ATAC29P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6ATAC29P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6ATAC29P shows lower tumor expression in KIRC. The KIRC box plot shows higher RNU6ATAC29P RNA expression in normal versus tumor tissue (log2 FC = −0.052, t-test p = .045).
This table shows molecular features associated with RNU6ATAC29P in patient tissues and cancer cell lines. In patient samples, RNU6ATAC29P shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set.
