RNA, U6 small nuclear 652, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6-652P profile across patient tissues and cancer cell-line models. RNU6-652P expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, RNU6-652P is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, RNU6-652P RNA expression shows 18,344 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight THCA, KIRC, and THYM as cancer lineages where RNU6-652P 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 RNU6-652P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6-652P survival associations across molecular data types. RNU6-652P RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6-652P RNA expression–survival associations across cancer types. High RNU6-652P expression shows unfavorable associations in THCA, CESC and UVM, but favorable associations in ACC, READ and KIRC. The THCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify THCA as the clearest survival context for RNU6-652P RNA expression.
This table summarizes RNU6-652P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6-652P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-652P shows lower tumor expression in THCA and higher tumor expression in KIRC, BLCA, KICH, LUAD and PAAD. The KIRC box plot shows higher RNU6-652P RNA expression in tumor versus normal tissue (log2 FC = +0.493, t-test p < 0.001).
This table shows molecular features associated with RNU6-652P in patient tissues and cancer cell lines. In patient samples, RNU6-652P shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
