calcium/calmodulin dependent protein kinase IVGenealiases: CaMK IV · CaMK-GR · CaMKIV · caMK
Q-omics provides the consensus-scored CAMK4 profile across patient tissues and cancer cell-line models. CAMK4 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, CAMK4 is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, CAMK4 protein abundance shows 23,802 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, COAD, and GBM as cancer lineages where CAMK4 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 CAMK4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CAMK4 survival associations across molecular data types. CAMK4 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CAMK4 RNA expression–survival associations across cancer types. High CAMK4 expression shows unfavorable associations in KIRP, MESO and BLCA, but favorable associations in SKCM, BRCA and SCLC. The KIRP 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 KIRP as the clearest survival context for CAMK4 RNA expression.
This table summarizes CAMK4 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 HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for CAMK4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CAMK4 shows lower tumor expression in COAD, KICH, LIHC and LUAD and higher tumor expression in HNSC and BRCA. The COAD box plot shows higher CAMK4 RNA expression in normal versus tumor tissue (log2 FC = −0.750, t-test p < 0.001).
This table shows molecular features associated with CAMK4 in patient tissues and cancer cell lines. In patient samples, CAMK4 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, CAMK4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BLOOD_Leukemia.
