RNA, U6 small nuclear 255, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6-255P profile across patient tissues and cancer cell-line models. RNU6-255P expression is associated with patient survival in 4 of 34 cancer types, with the highest sampling consensus in TGCT. Among the 18 cancer types available for tumor–normal comparison, RNU6-255P is differentially expressed in 1, with the highest sampling consensus in ESCA. Additionally, RNU6-255P RNA expression shows 4,850 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight TGCT, ESCA, and PDAC as cancer lineages where RNU6-255P 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 RNU6-255P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6-255P survival associations across molecular data types. RNU6-255P RNA expression shows survival associations in the most cancer types (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6-255P RNA expression–survival associations across cancer types. High RNU6-255P expression shows unfavorable associations in TGCT, BLCA and KIRC, but favorable associations in SKCM. The TGCT 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 TGCT as the clearest survival context for RNU6-255P RNA expression.
This table summarizes RNU6-255P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in ESCA for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6-255P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-255P shows higher tumor expression in ESCA. The ESCA box plot shows higher RNU6-255P RNA expression in tumor versus normal tissue (log2 FC = +0.825, t-test p = .015).
This table shows molecular features associated with RNU6-255P in patient tissues and cancer cell lines. In patient samples, RNU6-255P shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set.
