Q-omics provides the consensus-scored RPS27AP6 profile across patient tissues and cancer cell-line models. RPS27AP6 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, RPS27AP6 is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, RPS27AP6 RNA expression shows 11,407 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight SKCM, KICH, and UVM as cancer lineages where RPS27AP6 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 RPS27AP6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS27AP6 survival associations across molecular data types. RPS27AP6 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 RPS27AP6 RNA expression–survival associations across cancer types. High RPS27AP6 expression shows unfavorable associations in LUAD, KIRC and KICH, but favorable associations in SKCM, LUSC and BLCA. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify SKCM as the clearest survival context for RPS27AP6 RNA expression.
This table summarizes RPS27AP6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for RPS27AP6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS27AP6 shows lower tumor expression in KICH, BRCA and UCEC and higher tumor expression in CHOL, BLCA and LIHC. The KICH box plot shows higher RPS27AP6 RNA expression in normal versus tumor tissue (log2 FC = −0.240, t-test p < 0.001).
This table shows molecular features associated with RPS27AP6 in patient tissues and cancer cell lines. In patient samples, RPS27AP6 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
