Q-omics provides the consensus-scored RPS3AP39 profile across patient tissues and cancer cell-line models. RPS3AP39 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, RPS3AP39 is differentially expressed in 6, with the highest sampling consensus in THCA. Additionally, RPS3AP39 RNA expression shows 10,681 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight UCEC, THCA, and LUAD as cancer lineages where RPS3AP39 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 RPS3AP39 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS3AP39 survival associations across molecular data types. RPS3AP39 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 RPS3AP39 RNA expression–survival associations across cancer types. High RPS3AP39 expression shows unfavorable associations in UCEC, KICH, ACC and CHOL, but favorable associations in CESC and LIHC. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .009). Together, the overview and detailed table identify UCEC as the clearest survival context for RPS3AP39 RNA expression.
This table summarizes RPS3AP39 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RPS3AP39. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS3AP39 shows lower tumor expression in THCA, PAAD and KIRP and higher tumor expression in COAD, STAD and KICH. The THCA box plot shows higher RPS3AP39 RNA expression in normal versus tumor tissue (log2 FC = −0.197, t-test p < 0.001).
This table shows molecular features associated with RPS3AP39 in patient tissues and cancer cell lines. In patient samples, RPS3AP39 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set.
