Q-omics provides the consensus-scored RPSAP47 profile across patient tissues and cancer cell-line models. RPSAP47 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, RPSAP47 is differentially expressed in 6, with the highest sampling consensus in COAD. Additionally, RPSAP47 RNA expression shows 12,719 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight READ, COAD, and ACC as cancer lineages where RPSAP47 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 RPSAP47 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPSAP47 survival associations across molecular data types. RPSAP47 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPSAP47 RNA expression–survival associations across cancer types. High RPSAP47 expression shows unfavorable associations in ACC, but favorable associations in READ, THCA, CHOL, UCS and SKCM. The READ Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify READ as the clearest survival context for RPSAP47 RNA expression.
This table summarizes RPSAP47 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 COAD for RNA.
This table ranks reproducible tumor–normal expression differences for RPSAP47. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPSAP47 shows lower tumor expression in HNSC and higher tumor expression in COAD, LIHC, KIRP, PRAD and KICH. The COAD box plot shows higher RPSAP47 RNA expression in tumor versus normal tissue (log2 FC = +0.419, t-test p < 0.001).
This table shows molecular features associated with RPSAP47 in patient tissues and cancer cell lines. In patient samples, RPSAP47 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
