A-kinase anchoring protein 8 pseudogene 1Genealiases: []
Q-omics provides the consensus-scored AKAP8P1 profile across patient tissues and cancer cell-line models. AKAP8P1 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, AKAP8P1 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, AKAP8P1 RNA expression shows 8,792 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, HNSC, and TGCT as cancer lineages where AKAP8P1 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 AKAP8P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AKAP8P1 survival associations across molecular data types. AKAP8P1 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AKAP8P1 RNA expression–survival associations across cancer types. High AKAP8P1 expression shows unfavorable associations in ACC, KIRC, THCA, LGG and THYM, but favorable associations in BLCA. 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 AKAP8P1 RNA expression.
This table summarizes AKAP8P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for AKAP8P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AKAP8P1 shows higher tumor expression in HNSC, LUSC, COAD, LIHC, BLCA and STAD. The HNSC box plot shows higher AKAP8P1 RNA expression in tumor versus normal tissue (log2 FC = +0.131, t-test p < 0.001).
This table shows molecular features associated with AKAP8P1 in patient tissues and cancer cell lines. In patient samples, AKAP8P1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
