Q-omics provides the consensus-scored RPS27A profile across patient tissues and cancer cell-line models. RPS27A expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPS27A is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, RPS27A RNA expression shows 18,480 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KIRC as cancer lineages where RPS27A 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 RPS27A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS27A survival associations across molecular data types. RPS27A RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS27A RNA expression–survival associations across cancer types. High RPS27A expression shows unfavorable associations in ACC, KIRP, LIHC, CESC and KICH, but favorable associations in LGG. 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 RPS27A RNA expression.
This table summarizes RPS27A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RPS27A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS27A shows lower tumor expression in KICH and UCEC and higher tumor expression in KIRC, LIHC, COAD and HNSC. The KIRC box plot shows higher RPS27A RNA expression in tumor versus normal tissue (log2 FC = +0.701, t-test p < 0.001).
This table shows molecular features associated with RPS27A in patient tissues and cancer cell lines. In patient samples, RPS27A shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, RPS27A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in SKIN and UPPER_AERODIGESTIVE_TRACT.
