Q-omics provides the consensus-scored RPS24P13 profile across patient tissues and cancer cell-line models. RPS24P13 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, RPS24P13 is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, RPS24P13 RNA expression shows 8,798 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight SKCM, HNSC, and TGCT as cancer lineages where RPS24P13 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 RPS24P13 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS24P13 survival associations across molecular data types. RPS24P13 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS24P13 RNA expression–survival associations across cancer types. High RPS24P13 expression shows unfavorable associations in UCEC, KIRP and LIHC, but favorable associations in SKCM, HNSC 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 = .004). Together, the overview and detailed table identify SKCM as the clearest survival context for RPS24P13 RNA expression.
This table summarizes RPS24P13 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RPS24P13. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS24P13 shows lower tumor expression in BLCA and higher tumor expression in HNSC, LUSC, BRCA, PAAD and LUAD. The HNSC box plot shows higher RPS24P13 RNA expression in tumor versus normal tissue (log2 FC = +0.341, t-test p < 0.001).
This table shows molecular features associated with RPS24P13 in patient tissues and cancer cell lines. In patient samples, RPS24P13 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
