RNA, U6 small nuclear 195, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6-195P profile across patient tissues and cancer cell-line models. RNU6-195P expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, RNU6-195P is differentially expressed in 3, with the highest sampling consensus in READ. Additionally, RNU6-195P RNA expression shows 13,666 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight BRCA, READ, and UVM as cancer lineages where RNU6-195P 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 RNU6-195P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6-195P survival associations across molecular data types. RNU6-195P RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6-195P RNA expression–survival associations across cancer types. High RNU6-195P expression shows unfavorable associations in LUSC, KICH, LGG and CHOL, but favorable associations in BRCA and HNSC. The BRCA 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 BRCA as the clearest survival context for RNU6-195P RNA expression.
This table summarizes RNU6-195P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in READ for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6-195P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-195P shows lower tumor expression in READ and higher tumor expression in CHOL and PRAD. The READ box plot shows higher RNU6-195P RNA expression in normal versus tumor tissue (log2 FC = −0.713, t-test p = .001).
This table shows molecular features associated with RNU6-195P in patient tissues and cancer cell lines. In patient samples, RNU6-195P shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
