CaM kinase like vesicle associatedGenealiases: 1G5 · VACAMKL
Q-omics provides the consensus-scored CAMKV profile across patient tissues and cancer cell-line models. CAMKV expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CAMKV is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, CAMKV RNA expression shows 15,991 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, COAD, and GBM as cancer lineages where CAMKV 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 CAMKV — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CAMKV survival associations across molecular data types. CAMKV RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CAMKV RNA expression–survival associations across cancer types. High CAMKV expression shows unfavorable associations in KIRC, UCEC, STAD and UVM, but favorable associations in HNSC and BLCA. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KIRC as the clearest survival context for CAMKV RNA expression.
This table summarizes CAMKV tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for CAMKV. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CAMKV shows lower tumor expression in KICH and higher tumor expression in COAD, UCEC, HNSC, READ and LUSC. The COAD box plot shows higher CAMKV RNA expression in tumor versus normal tissue (log2 FC = +0.696, t-test p < 0.001).
This table shows molecular features associated with CAMKV in patient tissues and cancer cell lines. In patient samples, CAMKV 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, CAMKV 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 URINARY_TRACT and BONE.
