Q-omics provides the consensus-scored RPSAP53 profile across patient tissues and cancer cell-line models. RPSAP53 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, RPSAP53 is differentially expressed in 1, with the highest sampling consensus in LIHC. Additionally, RPSAP53 RNA expression shows 4,331 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight BLCA, LIHC, and GBM as cancer lineages where RPSAP53 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 RPSAP53 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPSAP53 survival associations across molecular data types. RPSAP53 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 RPSAP53 RNA expression–survival associations across cancer types. High RPSAP53 expression shows unfavorable associations in LIHC, LAML and DLBC, but favorable associations in BLCA, COAD and KIRC. The BLCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify BLCA as the clearest survival context for RPSAP53 RNA expression.
This table summarizes RPSAP53 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 LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for RPSAP53. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPSAP53 shows higher tumor expression in LIHC. The LIHC box plot shows higher RPSAP53 RNA expression in tumor versus normal tissue (log2 FC = +0.568, t-test p = .011).
This table shows molecular features associated with RPSAP53 in patient tissues and cancer cell lines. In patient samples, RPSAP53 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
