RNA, U6atac small nuclear 14, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6ATAC14P profile across patient tissues and cancer cell-line models. RNU6ATAC14P expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, RNU6ATAC14P is differentially expressed in 7, with the highest sampling consensus in BRCA. Additionally, RNU6ATAC14P RNA expression shows 8,904 significant protein co-abundance associations, with the highest sampling consensus in CCRCC. Together, these results highlight READ, BRCA, and CCRCC as cancer lineages where RNU6ATAC14P 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 RNU6ATAC14P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6ATAC14P survival associations across molecular data types. RNU6ATAC14P RNA expression shows survival associations in the most cancer types (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6ATAC14P RNA expression–survival associations across cancer types. High RNU6ATAC14P expression shows unfavorable associations in READ, THCA, COAD, ACC, THYM and TGCT. The READ 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 READ as the clearest survival context for RNU6ATAC14P RNA expression.
This table summarizes RNU6ATAC14P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6ATAC14P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6ATAC14P shows lower tumor expression in KICH, UCEC and PRAD and higher tumor expression in BRCA, KIRC and LUAD. The BRCA box plot shows higher RNU6ATAC14P RNA expression in tumor versus normal tissue (log2 FC = +1.093, t-test p < 0.001).
This table shows molecular features associated with RNU6ATAC14P in patient tissues and cancer cell lines. In patient samples, RNU6ATAC14P shows the broadest associations at the RNA and protein expression levels, with CCRCC recurring as the lineage with the largest associated feature set.
