Q-omics provides the consensus-scored RPSAP23 profile across patient tissues and cancer cell-line models. RPSAP23 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in LUSC. Among the 18 cancer types available for tumor–normal comparison, RPSAP23 is differentially expressed in 1, with the highest sampling consensus in KIRP. Additionally, RPSAP23 RNA expression shows 7,469 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight LUSC, KIRP, and GBM as cancer lineages where RPSAP23 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 RPSAP23 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPSAP23 survival associations across molecular data types. RPSAP23 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPSAP23 RNA expression–survival associations across cancer types. High RPSAP23 expression shows unfavorable associations in PAAD, MESO, ACC, ESCA and SARC, but favorable associations in LUSC. The LUSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .007). Together, the overview and detailed table identify LUSC as the clearest survival context for RPSAP23 RNA expression.
This table summarizes RPSAP23 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for RPSAP23. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPSAP23 shows lower tumor expression in KIRP. The KIRP box plot shows higher RPSAP23 RNA expression in normal versus tumor tissue (log2 FC = −0.098, t-test p < 0.001).
This table shows molecular features associated with RPSAP23 in patient tissues and cancer cell lines. In patient samples, RPSAP23 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
