RNA, U6atac small nuclear 34, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6ATAC34P profile across patient tissues and cancer cell-line models. RNU6ATAC34P expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, RNU6ATAC34P is differentially expressed in 4, with the highest sampling consensus in HNSC. Additionally, RNU6ATAC34P RNA expression shows 6,651 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight STAD, HNSC, and GBM as cancer lineages where RNU6ATAC34P 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 RNU6ATAC34P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6ATAC34P survival associations across molecular data types. RNU6ATAC34P RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6ATAC34P RNA expression–survival associations across cancer types. High RNU6ATAC34P expression shows unfavorable associations in ESCA, OV, LUSC and UCS, but favorable associations in STAD and CESC. The STAD Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .012). Together, the overview and detailed table identify STAD as the clearest survival context for RNU6ATAC34P RNA expression.
This table summarizes RNU6ATAC34P 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6ATAC34P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6ATAC34P shows lower tumor expression in KIRC and higher tumor expression in HNSC, STAD and UCEC. The HNSC box plot shows higher RNU6ATAC34P RNA expression in tumor versus normal tissue (log2 FC = +0.078, t-test p = .017).
This table shows molecular features associated with RNU6ATAC34P in patient tissues and cancer cell lines. In patient samples, RNU6ATAC34P shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
