ribosomal protein S28Genealiases: DBA15 · S28 · eS28
Q-omics provides the consensus-scored RPS28 profile across patient tissues and cancer cell-line models. RPS28 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPS28 is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, RPS28 protein abundance shows 27,650 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, KIRC, and GBM as cancer lineages where RPS28 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 RPS28 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS28 survival associations across molecular data types. RPS28 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (1) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS28 RNA expression–survival associations across cancer types. High RPS28 expression shows unfavorable associations in ACC, KICH and KIRP, but favorable associations in UVM, UCEC and HNSC. 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 RPS28 RNA expression.
This table summarizes RPS28 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for RPS28. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS28 shows higher tumor expression in KIRC, COAD, LIHC, KIRP, THCA and CHOL. The KIRC box plot shows higher RPS28 RNA expression in tumor versus normal tissue (log2 FC = +1.109, t-test p < 0.001).
This table shows molecular features associated with RPS28 in patient tissues and cancer cell lines. In patient samples, RPS28 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, RPS28 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BLOOD_Leukemia.
