A-kinase anchoring protein 7Genealiases: AKAP15 · AKAP18
Q-omics provides the consensus-scored AKAP7 profile across patient tissues and cancer cell-line models. AKAP7 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, AKAP7 is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, AKAP7 RNA expression shows 19,482 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, COAD, and ACC as cancer lineages where AKAP7 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 AKAP7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AKAP7 survival associations across molecular data types. AKAP7 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AKAP7 RNA expression–survival associations across cancer types. High AKAP7 expression shows unfavorable associations in ACC and KIRP, but favorable associations in KIRC, SKCM, BLCA and BRCA. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify KIRC as the clearest survival context for AKAP7 RNA expression.
This table summarizes AKAP7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 4. The strongest signals are observed in LUAD for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for AKAP7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AKAP7 shows lower tumor expression in COAD, LUAD, KICH, BLCA and THCA and higher tumor expression in KIRP. The COAD box plot shows higher AKAP7 RNA expression in normal versus tumor tissue (log2 FC = −1.874, t-test p < 0.001).
This table shows molecular features associated with AKAP7 in patient tissues and cancer cell lines. In patient samples, AKAP7 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, AKAP7 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 OESOPHAGUS and LARGE_INTESTINE.
