RNA, U6 small nuclear 758, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU6-758P profile across patient tissues and cancer cell-line models. RNU6-758P expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RNU6-758P is differentially expressed in 3, with the highest sampling consensus in BRCA. Additionally, RNU6-758P RNA expression shows 6,223 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, BRCA, and GBM as cancer lineages where RNU6-758P 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 RNU6-758P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU6-758P survival associations across molecular data types. RNU6-758P RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU6-758P RNA expression–survival associations across cancer types. High RNU6-758P expression shows unfavorable associations in KICH, UCS and KIRC, but favorable associations in BLCA, STAD and COAD. The KICH 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 KICH as the clearest survival context for RNU6-758P RNA expression.
This table summarizes RNU6-758P 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 BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for RNU6-758P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-758P shows lower tumor expression in BRCA and higher tumor expression in CHOL and LIHC. The BRCA box plot shows higher RNU6-758P RNA expression in normal versus tumor tissue (log2 FC = −0.174, t-test p = .012).
This table shows molecular features associated with RNU6-758P in patient tissues and cancer cell lines. In patient samples, RNU6-758P shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
