Q-omics provides the consensus-scored RPL23AP32 profile across patient tissues and cancer cell-line models. RPL23AP32 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RPL23AP32 is differentially expressed in 8, with the highest sampling consensus in LUAD. Additionally, RPL23AP32 RNA expression shows 16,791 significant protein co-abundance associations, with the highest sampling consensus in CCRCC. Together, these results highlight KIRC, LUAD, and CCRCC as cancer lineages where RPL23AP32 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 RPL23AP32 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPL23AP32 survival associations across molecular data types. RPL23AP32 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPL23AP32 RNA expression–survival associations across cancer types. High RPL23AP32 expression shows unfavorable associations in KIRC, ACC and UCEC, but favorable associations in HNSC, READ and GBM. The KIRC 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 KIRC as the clearest survival context for RPL23AP32 RNA expression.
This table summarizes RPL23AP32 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for RPL23AP32. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL23AP32 shows lower tumor expression in LUAD, LUSC, BRCA, UCEC, BLCA and KICH. The LUAD box plot shows higher RPL23AP32 RNA expression in normal versus tumor tissue (log2 FC = −1.159, t-test p < 0.001).
This table shows molecular features associated with RPL23AP32 in patient tissues and cancer cell lines. In patient samples, RPL23AP32 shows the broadest associations at the RNA and protein expression levels, with CCRCC recurring as the lineage with the largest associated feature set. In cancer cell lines, RPL23AP32 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
