Q-omics provides the consensus-scored RN7SKP133 profile across patient tissues and cancer cell-line models. RN7SKP133 expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in LUSC. Among the 18 cancer types available for tumor–normal comparison, RN7SKP133 is differentially expressed in 2, with the highest sampling consensus in KIRC. Additionally, RN7SKP133 RNA expression shows 6,299 significant gene co-expression associations, with the highest sampling consensus in COAD. Together, these results highlight LUSC, KIRC, and COAD as cancer lineages where RN7SKP133 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 RN7SKP133 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RN7SKP133 survival associations across molecular data types. RN7SKP133 RNA expression shows survival associations in the most cancer types (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RN7SKP133 RNA expression–survival associations across cancer types. High RN7SKP133 expression shows unfavorable associations in LUSC, ESCA, COAD, STAD and UCS, but favorable associations in SKCM. The LUSC 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 LUSC as the clearest survival context for RN7SKP133 RNA expression.
This table summarizes RN7SKP133 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RN7SKP133. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RN7SKP133 shows higher tumor expression in KIRC and LUAD. The KIRC box plot shows higher RN7SKP133 RNA expression in tumor versus normal tissue (log2 FC = +0.023, t-test p = .041).
This table shows molecular features associated with RN7SKP133 in patient tissues and cancer cell lines. In patient samples, RN7SKP133 shows the broadest associations at the RNA and protein expression levels, with COAD recurring as the lineage with the largest associated feature set.
