Q-omics provides the consensus-scored RN7SKP163 profile across patient tissues and cancer cell-line models. RN7SKP163 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, RN7SKP163 is differentially expressed in 2, with the highest sampling consensus in READ. Additionally, RN7SKP163 RNA expression shows 10,668 significant protein co-abundance associations, with the highest sampling consensus in CCRCC. Together, these results highlight HNSC, READ, and CCRCC as cancer lineages where RN7SKP163 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 RN7SKP163 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RN7SKP163 survival associations across molecular data types. RN7SKP163 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RN7SKP163 RNA expression–survival associations across cancer types. High RN7SKP163 expression shows unfavorable associations in STAD, ACC and PAAD, but favorable associations in HNSC, OV and UCS. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify HNSC as the clearest survival context for RN7SKP163 RNA expression.
This table summarizes RN7SKP163 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 READ for RNA.
This table ranks reproducible tumor–normal expression differences for RN7SKP163. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RN7SKP163 shows lower tumor expression in READ and BRCA and higher tumor expression in BRCA. The READ box plot shows higher RN7SKP163 RNA expression in normal versus tumor tissue (log2 FC = −0.172, t-test p = .030).
This table shows molecular features associated with RN7SKP163 in patient tissues and cancer cell lines. In patient samples, RN7SKP163 shows the broadest associations at the RNA and protein expression levels, with CCRCC recurring as the lineage with the largest associated feature set.
