cytochrome P450 family 2 subfamily A member 7 pseudogene 1Genealiases: CYP2A18PC · CYP2A18PN · CYP2A7P2 · CYP2A7PT
Q-omics provides the consensus-scored CYP2A7P1 profile across patient tissues and cancer cell-line models. CYP2A7P1 expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CYP2A7P1 is differentially expressed in 3, with the highest sampling consensus in CHOL. Additionally, CYP2A7P1 RNA expression shows 6,088 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight ACC, CHOL, and STAD as cancer lineages where CYP2A7P1 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 CYP2A7P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CYP2A7P1 survival associations across molecular data types. CYP2A7P1 RNA expression shows survival associations in the most cancer types (9), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CYP2A7P1 RNA expression–survival associations across cancer types. High CYP2A7P1 expression shows unfavorable associations in ACC, KIRC, MESO, CHOL and LGG, but favorable associations in STAD. 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 CYP2A7P1 RNA expression.
This table summarizes CYP2A7P1 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 CHOL for RNA.
This table ranks reproducible tumor–normal expression differences for CYP2A7P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CYP2A7P1 shows lower tumor expression in CHOL, LIHC and LUAD. The CHOL box plot shows higher CYP2A7P1 RNA expression in normal versus tumor tissue (log2 FC = −0.393, t-test p = .003).
This table shows molecular features associated with CYP2A7P1 in patient tissues and cancer cell lines. In patient samples, CYP2A7P1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, CYP2A7P1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
