RNA, U6 small nuclear 562, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6-562P profile across patient tissues and cancer cell-line models. RNU6-562P expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, RNU6-562P is differentially expressed in 2, with the highest sampling consensus in ESCA. Additionally, RNU6-562P RNA expression shows 7,555 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight UCEC, ESCA, and HNSC as cancer lineages where RNU6-562P 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 RNU6-562P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6-562P survival associations across molecular data types. RNU6-562P RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6-562P RNA expression–survival associations across cancer types. High RNU6-562P expression shows unfavorable associations in UCEC, UVM, HNSC, CHOL and BRCA, but favorable associations in LUAD. 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 RNU6-562P RNA expression.
This table summarizes RNU6-562P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in ESCA for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6-562P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-562P shows lower tumor expression in UCEC and higher tumor expression in ESCA. The ESCA box plot shows higher RNU6-562P RNA expression in tumor versus normal tissue (log2 FC = +1.295, t-test p = .003).
This table shows molecular features associated with RNU6-562P in patient tissues and cancer cell lines. In patient samples, RNU6-562P shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set.
