A-kinase interacting protein 1Genealiases: BCA3 · C11orf17
Q-omics provides the consensus-scored AKIP1 profile across patient tissues and cancer cell-line models. AKIP1 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, AKIP1 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, AKIP1 RNA expression shows 17,931 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight LIHC, HNSC, and ACC as cancer lineages where AKIP1 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 AKIP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AKIP1 survival associations across molecular data types. AKIP1 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (5) 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 AKIP1 RNA expression–survival associations across cancer types. High AKIP1 expression shows unfavorable associations in LIHC, UVM, KICH, ACC and MESO, but favorable associations in STAD. The LIHC 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 LIHC as the clearest survival context for AKIP1 RNA expression.
This table summarizes AKIP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 3. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for AKIP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AKIP1 shows higher tumor expression in HNSC, KIRC, COAD, KIRP, LIHC and BRCA. The HNSC box plot shows higher AKIP1 RNA expression in tumor versus normal tissue (log2 FC = +0.957, t-test p < 0.001).
This table shows molecular features associated with AKIP1 in patient tissues and cancer cell lines. In patient samples, AKIP1 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, AKIP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BONE.
