Q-omics provides the consensus-scored CCNQP2 profile across patient tissues and cancer cell-line models. CCNQP2 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, CCNQP2 is differentially expressed in 5, with the highest sampling consensus in UCEC. Additionally, CCNQP2 RNA expression shows 3,436 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight KIRP, UCEC, and BRCA as cancer lineages where CCNQP2 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 CCNQP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CCNQP2 survival associations across molecular data types. CCNQP2 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CCNQP2 RNA expression–survival associations across cancer types. High CCNQP2 expression shows unfavorable associations in KIRP, HNSC, ESCA, THCA, READ and LIHC. The KIRP 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 KIRP as the clearest survival context for CCNQP2 RNA expression.
This table summarizes CCNQP2 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 UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for CCNQP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCNQP2 shows higher tumor expression in UCEC, ESCA, PRAD, COAD and KIRC. The UCEC box plot shows higher CCNQP2 RNA expression in tumor versus normal tissue (log2 FC = +0.079, t-test p = .030).
This table shows molecular features associated with CCNQP2 in patient tissues and cancer cell lines. In patient samples, CCNQP2 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set.
