Q-omics provides the consensus-scored CDC7 profile across patient tissues and cancer cell-line models. CDC7 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CDC7 is differentially expressed in 15, with the highest sampling consensus in BLCA. Additionally, CDC7 RNA expression shows 22,439 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, BLCA, and LSCC as cancer lineages where CDC7 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 CDC7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CDC7 survival associations across molecular data types. CDC7 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (7) 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 CDC7 RNA expression–survival associations across cancer types. High CDC7 expression shows unfavorable associations in ACC, KIRC, LIHC, MESO and KIRP, but favorable associations in OV. 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 CDC7 RNA expression.
This table summarizes CDC7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for CDC7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CDC7 shows higher tumor expression in BLCA, KIRP, HNSC, STAD, LIHC and KIRC. The BLCA box plot shows higher CDC7 RNA expression in tumor versus normal tissue (log2 FC = +2.073, t-test p < 0.001).
This table shows molecular features associated with CDC7 in patient tissues and cancer cell lines. In patient samples, CDC7 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, CDC7 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 BONE and BLOOD_Leukemia.
