Q-omics provides the consensus-scored RPSAP70 profile across patient tissues and cancer cell-line models. RPSAP70 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, RPSAP70 is differentially expressed in 16, with the highest sampling consensus in KICH. Additionally, RPSAP70 RNA expression shows 12,302 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight BRCA, KICH, and TGCT as cancer lineages where RPSAP70 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 RPSAP70 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPSAP70 survival associations across molecular data types. RPSAP70 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPSAP70 RNA expression–survival associations across cancer types. High RPSAP70 expression shows unfavorable associations in ACC, LUSC, BLCA and UVM, but favorable associations in BRCA and KIRP. The BRCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify BRCA as the clearest survival context for RPSAP70 RNA expression.
This table summarizes RPSAP70 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RPSAP70. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPSAP70 shows lower tumor expression in KICH, BLCA, THCA, HNSC, LUSC and KIRC. The KICH box plot shows higher RPSAP70 RNA expression in normal versus tumor tissue (log2 FC = −2.416, t-test p < 0.001).
This table shows molecular features associated with RPSAP70 in patient tissues and cancer cell lines. In patient samples, RPSAP70 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.