RNA, U7 small nuclear 90 pseudogeneGenealiases: []
Q-omics provides the consensus-scored RNU7-90P profile across patient tissues and cancer cell-line models. RNU7-90P expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, RNU7-90P is differentially expressed in 1, with the highest sampling consensus in ESCA. Additionally, RNU7-90P RNA expression shows 6,564 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight SKCM, ESCA, and LSCC as cancer lineages where RNU7-90P 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 RNU7-90P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNU7-90P survival associations across molecular data types. RNU7-90P RNA expression shows survival associations in the most cancer types (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNU7-90P RNA expression–survival associations across cancer types. High RNU7-90P expression shows unfavorable associations in SKCM, COAD, KICH, CHOL, PCPG and UCEC. The SKCM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify SKCM as the clearest survival context for RNU7-90P RNA expression.
This table summarizes RNU7-90P 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 RNU7-90P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU7-90P shows higher tumor expression in ESCA. The ESCA box plot shows higher RNU7-90P RNA expression in tumor versus normal tissue (log2 FC = +2.094, t-test p = .007).
This table shows molecular features associated with RNU7-90P in patient tissues and cancer cell lines. In patient samples, RNU7-90P shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
