Q-omics provides the consensus-scored RN7SKP180 profile across patient tissues and cancer cell-line models. RN7SKP180 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RN7SKP180 is differentially expressed in 7, with the highest sampling consensus in THCA. Additionally, RN7SKP180 RNA expression shows 7,427 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, THCA, and TGCT as cancer lineages where RN7SKP180 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 RN7SKP180 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RN7SKP180 survival associations across molecular data types. RN7SKP180 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 RN7SKP180 RNA expression–survival associations across cancer types. High RN7SKP180 expression shows unfavorable associations in ACC, KIRC, COAD, THCA and SKCM, but favorable associations in GBM. The ACC 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 ACC as the clearest survival context for RN7SKP180 RNA expression.
This table summarizes RN7SKP180 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RN7SKP180. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RN7SKP180 shows lower tumor expression in THCA and higher tumor expression in BRCA, KIRC, KIRP, LIHC and LUAD. The THCA box plot shows higher RN7SKP180 RNA expression in normal versus tumor tissue (log2 FC = −0.165, t-test p < 0.001).
This table shows molecular features associated with RN7SKP180 in patient tissues and cancer cell lines. In patient samples, RN7SKP180 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
