RNA, U1 small nuclear 153, pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU1-153P profile across patient tissues and cancer cell-line models. RNU1-153P expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, RNU1-153P is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, RNU1-153P RNA expression shows 17,604 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UVM, HNSC, and THYM as cancer lineages where RNU1-153P 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 RNU1-153P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU1-153P survival associations across molecular data types. RNU1-153P RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU1-153P RNA expression–survival associations across cancer types. High RNU1-153P expression shows unfavorable associations in UVM, LUAD and KIRC, but favorable associations in PAAD, BLCA and SKCM. 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 RNU1-153P RNA expression.
This table summarizes RNU1-153P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RNU1-153P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU1-153P shows lower tumor expression in UCEC, LUAD, KIRC and LUSC and higher tumor expression in HNSC and CHOL. The HNSC box plot shows higher RNU1-153P RNA expression in tumor versus normal tissue (log2 FC = +0.278, t-test p = .011).
This table shows molecular features associated with RNU1-153P in patient tissues and cancer cell lines. In patient samples, RNU1-153P shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
