RNA, U7 small nuclear 196 pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU7-196P profile across patient tissues and cancer cell-line models. RNU7-196P expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RNU7-196P is differentially expressed in 1, with the highest sampling consensus in ESCA. Additionally, RNU7-196P RNA expression shows 7,822 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, ESCA, and LSCC as cancer lineages where RNU7-196P 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 RNU7-196P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU7-196P survival associations across molecular data types. RNU7-196P RNA expression shows survival associations in the most cancer types (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU7-196P RNA expression–survival associations across cancer types. High RNU7-196P expression shows unfavorable associations in ACC, THYM, ESCA, UCEC and READ, but favorable associations in LUAD. The ACC 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 ACC as the clearest survival context for RNU7-196P RNA expression.
This table summarizes RNU7-196P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in ESCA for RNA.
This table ranks reproducible tumor–normal expression differences for RNU7-196P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU7-196P shows lower tumor expression in ESCA. The ESCA box plot shows higher RNU7-196P RNA expression in normal versus tumor tissue (log2 FC = −0.983, t-test p = .031).
This table shows molecular features associated with RNU7-196P in patient tissues and cancer cell lines. In patient samples, RNU7-196P shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
