Q-omics provides the consensus-scored RPS3AP2 profile across patient tissues and cancer cell-line models. RPS3AP2 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPS3AP2 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, RPS3AP2 RNA expression shows 11,642 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KICH as cancer lineages where RPS3AP2 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 RPS3AP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS3AP2 survival associations across molecular data types. RPS3AP2 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS3AP2 RNA expression–survival associations across cancer types. High RPS3AP2 expression shows unfavorable associations in ACC, KIRC and BLCA, but favorable associations in OV, CESC and UCS. 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 RPS3AP2 RNA expression.
This table summarizes RPS3AP2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for RPS3AP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS3AP2 shows lower tumor expression in KICH and THCA and higher tumor expression in BLCA, BRCA, LIHC and LUSC. The KICH box plot shows higher RPS3AP2 RNA expression in normal versus tumor tissue (log2 FC = −0.279, t-test p < 0.001).
This table shows molecular features associated with RPS3AP2 in patient tissues and cancer cell lines. In patient samples, RPS3AP2 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
