A-kinase anchoring protein 5Genealiases: AKAP75 · AKAP79 · H21
Q-omics provides the consensus-scored AKAP5 profile across patient tissues and cancer cell-line models. AKAP5 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, AKAP5 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, AKAP5 RNA expression shows 21,313 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight SKCM, KICH, and UVM as cancer lineages where AKAP5 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 AKAP5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AKAP5 survival associations across molecular data types. AKAP5 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AKAP5 RNA expression–survival associations across cancer types. High AKAP5 expression shows unfavorable associations in ACC and UVM, but favorable associations in SKCM, HNSC, COAD and STAD. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify SKCM as the clearest survival context for AKAP5 RNA expression.
This table summarizes AKAP5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 5. The strongest signals are observed in KICH for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for AKAP5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AKAP5 shows lower tumor expression in KICH, KIRC, COAD and LUSC and higher tumor expression in HNSC and STAD. The KICH box plot shows higher AKAP5 RNA expression in normal versus tumor tissue (log2 FC = −2.197, t-test p < 0.001).
This table shows molecular features associated with AKAP5 in patient tissues and cancer cell lines. In patient samples, AKAP5 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, AKAP5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and BLOOD_Leukemia.
