ribosomal protein L23a pseudogene 7Genealiases: []
Q-omics provides the consensus-scored RPL23AP7 profile across patient tissues and cancer cell-line models. RPL23AP7 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPL23AP7 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, RPL23AP7 RNA expression shows 18,871 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, HNSC, and UVM as cancer lineages where RPL23AP7 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 RPL23AP7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPL23AP7 survival associations across molecular data types. RPL23AP7 RNA expression shows survival associations in the most cancer types (27). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPL23AP7 RNA expression–survival associations across cancer types. High RPL23AP7 expression shows unfavorable associations in ACC, LIHC, MESO, LGG, HNSC and KIRP. 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 RPL23AP7 RNA expression.
This table summarizes RPL23AP7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RPL23AP7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL23AP7 shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, LIHC, KIRP and CHOL. The HNSC box plot shows higher RPL23AP7 RNA expression in tumor versus normal tissue (log2 FC = +0.854, t-test p < 0.001).
This table shows molecular features associated with RPL23AP7 in patient tissues and cancer cell lines. In patient samples, RPL23AP7 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
