A-kinase anchoring protein 4Genealiases: AKAP 82 · AKAP-4 · AKAP82 · CT99 · FSC1 · HI
Q-omics provides the consensus-scored AKAP4 profile across patient tissues and cancer cell-line models. AKAP4 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in DLBC. Among the 18 cancer types available for tumor–normal comparison, AKAP4 is differentially expressed in 8, with the highest sampling consensus in KIRP. Additionally, AKAP4 RNA expression shows 7,767 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight DLBC, KIRP, and ESCA as cancer lineages where AKAP4 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 AKAP4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AKAP4 survival associations across molecular data types. AKAP4 RNA expression shows survival associations in the most cancer types (17), followed by mutation status (9) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AKAP4 RNA expression–survival associations across cancer types. High AKAP4 expression shows unfavorable associations in DLBC, LAML and LGG, but favorable associations in KIRC, READ and UCS. The DLBC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify DLBC as the clearest survival context for AKAP4 RNA expression.
This table summarizes AKAP4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for AKAP4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AKAP4 shows lower tumor expression in KIRP, KIRC, KICH and LUSC and higher tumor expression in COAD and STAD. The KIRP box plot shows higher AKAP4 RNA expression in normal versus tumor tissue (log2 FC = −0.178, t-test p < 0.001).
This table shows molecular features associated with AKAP4 in patient tissues and cancer cell lines. In patient samples, AKAP4 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set. In cancer cell lines, AKAP4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Leukemia.
