cyclin B1 interacting protein 1 pseudogene 2Genealiases: []
Q-omics provides the consensus-scored CCNB1IP1P2 profile across patient tissues and cancer cell-line models. CCNB1IP1P2 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, CCNB1IP1P2 is differentially expressed in 3, with the highest sampling consensus in THCA. Additionally, CCNB1IP1P2 RNA expression shows 8,419 significant gene co-expression associations, with the highest sampling consensus in CESC. Together, these results highlight UCEC, THCA, and CESC as cancer lineages where CCNB1IP1P2 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 CCNB1IP1P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CCNB1IP1P2 survival associations across molecular data types. CCNB1IP1P2 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CCNB1IP1P2 RNA expression–survival associations across cancer types. High CCNB1IP1P2 expression shows unfavorable associations in UCEC, STAD, HNSC, KICH and LIHC, but favorable associations in COAD. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify UCEC as the clearest survival context for CCNB1IP1P2 RNA expression.
This table summarizes CCNB1IP1P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for CCNB1IP1P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCNB1IP1P2 shows lower tumor expression in THCA and KIRC and higher tumor expression in UCEC. The THCA box plot shows higher CCNB1IP1P2 RNA expression in normal versus tumor tissue (log2 FC = −0.051, t-test p < 0.001).
This table shows molecular features associated with CCNB1IP1P2 in patient tissues and cancer cell lines. In patient samples, CCNB1IP1P2 shows the broadest associations at the RNA and protein expression levels, with CESC recurring as the lineage with the largest associated feature set.
