RNA, U6 small nuclear 298, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6-298P profile across patient tissues and cancer cell-line models. RNU6-298P expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RNU6-298P is differentially expressed in 7, with the highest sampling consensus in KIRC. Additionally, RNU6-298P RNA expression shows 10,235 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KICH, KIRC, and LSCC as cancer lineages where RNU6-298P 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 RNU6-298P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6-298P survival associations across molecular data types. RNU6-298P RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6-298P RNA expression–survival associations across cancer types. High RNU6-298P expression shows unfavorable associations in KICH, COAD, LUSC, KIRC and ACC, but favorable associations in SKCM. The KICH 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 KICH as the clearest survival context for RNU6-298P RNA expression.
This table summarizes RNU6-298P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6-298P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-298P shows higher tumor expression in KIRC, STAD, LUSC, PAAD, READ and CHOL. The KIRC box plot shows higher RNU6-298P RNA expression in tumor versus normal tissue (log2 FC = +0.188, t-test p < 0.001).
This table shows molecular features associated with RNU6-298P in patient tissues and cancer cell lines. In patient samples, RNU6-298P shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
