RNA, U1 small nuclear 132, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU1-132P profile across patient tissues and cancer cell-line models. RNU1-132P expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, RNU1-132P is differentially expressed in 2, with the highest sampling consensus in LUSC. Additionally, RNU1-132P RNA expression shows 6,839 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight READ, LUSC, and STAD as cancer lineages where RNU1-132P 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 RNU1-132P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU1-132P survival associations across molecular data types. RNU1-132P 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 RNU1-132P RNA expression–survival associations across cancer types. High RNU1-132P expression shows unfavorable associations in READ, KICH, KIRC, CHOL and ACC, but favorable associations in PAAD. The READ 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 READ as the clearest survival context for RNU1-132P RNA expression.
This table summarizes RNU1-132P 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 LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU1-132P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU1-132P shows lower tumor expression in LUSC and THCA. The LUSC box plot shows higher RNU1-132P RNA expression in normal versus tumor tissue (log2 FC = −0.111, t-test p = .008).
This table shows molecular features associated with RNU1-132P in patient tissues and cancer cell lines. In patient samples, RNU1-132P shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
