RNA, U6 small nuclear 277, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6-277P profile across patient tissues and cancer cell-line models. RNU6-277P expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, RNU6-277P is differentially expressed in 3, with the highest sampling consensus in KIRC. Additionally, RNU6-277P RNA expression shows 10,344 significant gene co-expression associations, with the highest sampling consensus in UCEC. Together, these results highlight LIHC, KIRC, and UCEC as cancer lineages where RNU6-277P 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 RNU6-277P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6-277P survival associations across molecular data types. RNU6-277P RNA expression shows survival associations in the most cancer types (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6-277P RNA expression–survival associations across cancer types. High RNU6-277P expression shows unfavorable associations in LIHC, OV and STAD, but favorable associations in LGG, PAAD and GBM. The LIHC 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 LIHC as the clearest survival context for RNU6-277P RNA expression.
This table summarizes RNU6-277P 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6-277P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-277P shows lower tumor expression in BRCA and COAD and higher tumor expression in KIRC. The KIRC box plot shows higher RNU6-277P RNA expression in tumor versus normal tissue (log2 FC = +0.438, t-test p < 0.001).
This table shows molecular features associated with RNU6-277P in patient tissues and cancer cell lines. In patient samples, RNU6-277P shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set.
