ribosomal protein S10 pseudogene 2Genealiases: RPS10_15_1685 · dJ858M22.1
Q-omics provides the consensus-scored RPS10P2 profile across patient tissues and cancer cell-line models. RPS10P2 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, RPS10P2 is differentially expressed in 7, with the highest sampling consensus in COAD. Additionally, RPS10P2 RNA expression shows 14,749 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight LIHC, COAD, and DLBC as cancer lineages where RPS10P2 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 RPS10P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS10P2 survival associations across molecular data types. RPS10P2 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS10P2 RNA expression–survival associations across cancer types. High RPS10P2 expression shows unfavorable associations in LIHC and ACC, but favorable associations in CESC, BLCA, LUSC and MESO. The LIHC 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 LIHC as the clearest survival context for RPS10P2 RNA expression.
This table summarizes RPS10P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for RPS10P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS10P2 shows higher tumor expression in COAD, LIHC, KIRC, LUAD, READ and CHOL. The COAD box plot shows higher RPS10P2 RNA expression in tumor versus normal tissue (log2 FC = +1.370, t-test p < 0.001).
This table shows molecular features associated with RPS10P2 in patient tissues and cancer cell lines. In patient samples, RPS10P2 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
