Q-omics provides the consensus-scored CLOCK profile across patient tissues and cancer cell-line models. CLOCK expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CLOCK is differentially expressed in 11, with the highest sampling consensus in LIHC. Additionally, CLOCK RNA expression shows 21,495 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, LIHC, and ACC as cancer lineages where CLOCK 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 CLOCK — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CLOCK survival associations across molecular data types. CLOCK RNA expression shows survival associations in the most cancer types (27), followed by mutation status (5) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CLOCK RNA expression–survival associations across cancer types. High CLOCK expression shows unfavorable associations in UVM and CESC, but favorable associations in KIRC, HNSC, UCEC and UCS. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for CLOCK RNA expression.
This table summarizes CLOCK tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 3. The strongest signals are observed in LIHC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for CLOCK. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CLOCK shows lower tumor expression in THCA and KICH and higher tumor expression in LIHC, PAAD, BRCA and CHOL. The LIHC box plot shows higher CLOCK RNA expression in tumor versus normal tissue (log2 FC = +0.697, t-test p < 0.001).
This table shows molecular features associated with CLOCK in patient tissues and cancer cell lines. In patient samples, CLOCK 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, CLOCK 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 OVARY and BLOOD_Leukemia.
