Q-omics provides the consensus-scored RPSAP63 profile across patient tissues and cancer cell-line models. RPSAP63 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RPSAP63 is differentially expressed in 4, with the highest sampling consensus in LIHC. Additionally, RPSAP63 RNA expression shows 11,508 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KICH, LIHC, and LSCC as cancer lineages where RPSAP63 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 RPSAP63 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPSAP63 survival associations across molecular data types. RPSAP63 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPSAP63 RNA expression–survival associations across cancer types. High RPSAP63 expression shows unfavorable associations in KICH, STAD, SARC and ACC, but favorable associations in UCS and LGG. The KICH 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 KICH as the clearest survival context for RPSAP63 RNA expression.
This table summarizes RPSAP63 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for RPSAP63. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPSAP63 shows higher tumor expression in LIHC, COAD, LUAD and KIRP. The LIHC box plot shows higher RPSAP63 RNA expression in tumor versus normal tissue (log2 FC = +0.075, t-test p < 0.001).
This table shows molecular features associated with RPSAP63 in patient tissues and cancer cell lines. In patient samples, RPSAP63 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
