choline kinase alphaGenealiases: CHK · CK · CKI · EK · NEDMIMS
Q-omics provides the consensus-scored CHKA profile across patient tissues and cancer cell-line models. CHKA expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CHKA is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, CHKA RNA expression shows 20,004 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LIHC as cancer lineages where CHKA 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 CHKA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CHKA survival associations across molecular data types. CHKA RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CHKA RNA expression–survival associations across cancer types. High CHKA expression shows unfavorable associations in ACC, KIRC, LIHC, KICH and SKCM, but favorable associations in LUAD. The ACC 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 ACC as the clearest survival context for CHKA RNA expression.
This table summarizes CHKA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for CHKA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CHKA shows lower tumor expression in THCA, LUSC and COAD and higher tumor expression in LIHC, UCEC and STAD. The LIHC box plot shows higher CHKA RNA expression in tumor versus normal tissue (log2 FC = +2.013, t-test p < 0.001).
This table shows molecular features associated with CHKA in patient tissues and cancer cell lines. In patient samples, CHKA 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, CHKA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Lymphoma.
