Q-omics provides the consensus-scored RPSAP55 profile across patient tissues and cancer cell-line models. RPSAP55 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPSAP55 is differentially expressed in 6, with the highest sampling consensus in LUAD. Additionally, RPSAP55 RNA expression shows 7,399 significant protein co-abundance associations, with the highest sampling consensus in OV. Together, these results highlight ACC, LUAD, and OV as cancer lineages where RPSAP55 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 RPSAP55 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPSAP55 survival associations across molecular data types. RPSAP55 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPSAP55 RNA expression–survival associations across cancer types. High RPSAP55 expression shows unfavorable associations in ACC and KICH, but favorable associations in CESC, READ, UCS and LGG. 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 RPSAP55 RNA expression.
This table summarizes RPSAP55 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for RPSAP55. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPSAP55 shows higher tumor expression in LUAD, COAD, LIHC, PRAD, THCA and KICH. The LUAD box plot shows higher RPSAP55 RNA expression in tumor versus normal tissue (log2 FC = +0.166, t-test p < 0.001).
This table shows molecular features associated with RPSAP55 in patient tissues and cancer cell lines. In patient samples, RPSAP55 shows the broadest associations at the RNA and protein expression levels, with OV recurring as the lineage with the largest associated feature set.
