ribosomal protein S26 pseudogene 3Genealiases: RPS26_11_962 · bA338L20.1
Q-omics provides the consensus-scored RPS26P3 profile across patient tissues and cancer cell-line models. RPS26P3 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPS26P3 is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, RPS26P3 RNA expression shows 10,338 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KIRC as cancer lineages where RPS26P3 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 RPS26P3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS26P3 survival associations across molecular data types. RPS26P3 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS26P3 RNA expression–survival associations across cancer types. High RPS26P3 expression shows unfavorable associations in ACC, KICH, ESCA, LUAD, LIHC and KIRP. 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 RPS26P3 RNA expression.
This table summarizes RPS26P3 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RPS26P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS26P3 shows higher tumor expression in KIRC, KIRP, LIHC, LUSC, STAD and LUAD. The KIRC box plot shows higher RPS26P3 RNA expression in tumor versus normal tissue (log2 FC = +0.287, t-test p < 0.001).
This table shows molecular features associated with RPS26P3 in patient tissues and cancer cell lines. In patient samples, RPS26P3 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
