ribosomal protein S24Genealiases: DBA3 · S24 · eS24
Q-omics provides the consensus-scored RPS24 profile across patient tissues and cancer cell-line models. RPS24 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPS24 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, RPS24 protein abundance shows 25,111 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, KIRC, and GBM as cancer lineages where RPS24 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 RPS24 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS24 survival associations across molecular data types. RPS24 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS24 RNA expression–survival associations across cancer types. High RPS24 expression shows unfavorable associations in ACC, KIRP, HNSC and LIHC, but favorable associations in BRCA and 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 RPS24 RNA expression.
This table summarizes RPS24 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for RPS24. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS24 shows lower tumor expression in HNSC and higher tumor expression in KIRC, LIHC, KIRP, THCA and CHOL. The KIRC box plot shows higher RPS24 RNA expression in tumor versus normal tissue (log2 FC = +0.790, t-test p < 0.001).
This table shows molecular features associated with RPS24 in patient tissues and cancer cell lines. In patient samples, RPS24 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, RPS24 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 BLOOD_Leukemia.
