ribosomal protein SA pseudogene 10Genealiases: LAMR1P10 · RPSA_22_1026
Q-omics provides the consensus-scored RPSAP10 profile across patient tissues and cancer cell-line models. RPSAP10 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RPSAP10 is differentially expressed in 2, with the highest sampling consensus in KIRC. Additionally, RPSAP10 RNA expression shows 6,180 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight KICH, KIRC, and STAD as cancer lineages where RPSAP10 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 RPSAP10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPSAP10 survival associations across molecular data types. RPSAP10 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPSAP10 RNA expression–survival associations across cancer types. High RPSAP10 expression shows unfavorable associations in KICH, TGCT, CHOL and KIRC, but favorable associations in CESC and COAD. 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 RPSAP10 RNA expression.
This table summarizes RPSAP10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RPSAP10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPSAP10 shows lower tumor expression in KIRC and higher tumor expression in PRAD. The KIRC box plot shows higher RPSAP10 RNA expression in normal versus tumor tissue (log2 FC = −0.031, t-test p = .010).
This table shows molecular features associated with RPSAP10 in patient tissues and cancer cell lines. In patient samples, RPSAP10 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
