Q-omics provides the consensus-scored CDCA4P2 profile across patient tissues and cancer cell-line models. CDCA4P2 expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, CDCA4P2 is differentially expressed in 5, with the highest sampling consensus in HNSC. Additionally, CDCA4P2 RNA expression shows 6,069 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LUAD, HNSC, and STAD as cancer lineages where CDCA4P2 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 CDCA4P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CDCA4P2 survival associations across molecular data types. CDCA4P2 RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CDCA4P2 RNA expression–survival associations across cancer types. High CDCA4P2 expression shows unfavorable associations in LUAD, KICH, KIRC, SKCM, BRCA and MESO. The LUAD 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 LUAD as the clearest survival context for CDCA4P2 RNA expression.
This table summarizes CDCA4P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for CDCA4P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CDCA4P2 shows lower tumor expression in HNSC, COAD, BLCA and READ and higher tumor expression in LUSC. The HNSC box plot shows higher CDCA4P2 RNA expression in normal versus tumor tissue (log2 FC = −0.103, t-test p < 0.001).
This table shows molecular features associated with CDCA4P2 in patient tissues and cancer cell lines. In patient samples, CDCA4P2 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
