Q-omics provides the consensus-scored CDCA3 profile across patient tissues and cancer cell-line models. CDCA3 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, CDCA3 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, CDCA3 RNA expression shows 27,045 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, HNSC, and LSCC as cancer lineages where CDCA3 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 CDCA3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CDCA3 survival associations across molecular data types. CDCA3 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (3) 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 CDCA3 RNA expression–survival associations across cancer types. High CDCA3 expression shows unfavorable associations in ACC, KIRC, KIRP, MESO, LIHC and KICH. 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 CDCA3 RNA expression.
This table summarizes CDCA3 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 7. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for CDCA3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CDCA3 shows higher tumor expression in HNSC, LUAD, BLCA, COAD, KIRP and KIRC. The HNSC box plot shows higher CDCA3 RNA expression in tumor versus normal tissue (log2 FC = +1.849, t-test p < 0.001).
This table shows molecular features associated with CDCA3 in patient tissues and cancer cell lines. In patient samples, CDCA3 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, CDCA3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
