Q-omics provides the consensus-scored RNU7-63P profile across patient tissues and cancer cell-line models. RNU7-63P expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, RNU7-63P is differentially expressed in 2, with the highest sampling consensus in HNSC. Additionally, RNU7-63P RNA expression shows 7,867 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight UVM, HNSC, and LAML as cancer lineages where RNU7-63P 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 RNU7-63P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU7-63P survival associations across molecular data types. RNU7-63P RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU7-63P RNA expression–survival associations across cancer types. High RNU7-63P expression shows unfavorable associations in UVM, MESO, LUSC, ESCA, DLBC and LUAD. The UVM 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 UVM as the clearest survival context for RNU7-63P RNA expression.
This table summarizes RNU7-63P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU7-63P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU7-63P shows higher tumor expression in HNSC and KIRC. The HNSC box plot shows higher RNU7-63P RNA expression in tumor versus normal tissue (log2 FC = +0.116, t-test p = .022).
This table shows molecular features associated with RNU7-63P in patient tissues and cancer cell lines. In patient samples, RNU7-63P shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set.
