ribosomal protein SA pseudogene 15Genealiases: LAMR1P15 · LAMRL5 · RPSA_25_1791
Q-omics provides the consensus-scored RPSAP15 profile across patient tissues and cancer cell-line models. RPSAP15 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, RPSAP15 is differentially expressed in 9, with the highest sampling consensus in COAD. Additionally, RPSAP15 RNA expression shows 13,783 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight LIHC, COAD, and ACC as cancer lineages where RPSAP15 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 RPSAP15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPSAP15 survival associations across molecular data types. RPSAP15 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 RPSAP15 RNA expression–survival associations across cancer types. High RPSAP15 expression shows unfavorable associations in LIHC, SARC, ACC, LUAD and PAAD, but favorable associations in BLCA. The LIHC 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 LIHC as the clearest survival context for RPSAP15 RNA expression.
This table summarizes RPSAP15 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for RPSAP15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPSAP15 shows lower tumor expression in HNSC and higher tumor expression in COAD, LIHC, CHOL, THCA and PRAD. The COAD box plot shows higher RPSAP15 RNA expression in tumor versus normal tissue (log2 FC = +0.983, t-test p < 0.001).
This table shows molecular features associated with RPSAP15 in patient tissues and cancer cell lines. In patient samples, RPSAP15 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
