Q-omics provides the consensus-scored ATP8A2P2 profile across patient tissues and cancer cell-line models. ATP8A2P2 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, ATP8A2P2 is differentially expressed in 6, with the highest sampling consensus in UCEC. Additionally, ATP8A2P2 RNA expression shows 16,530 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight READ, UCEC, and THYM as cancer lineages where ATP8A2P2 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 ATP8A2P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ATP8A2P2 survival associations across molecular data types. ATP8A2P2 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ATP8A2P2 RNA expression–survival associations across cancer types. High ATP8A2P2 expression shows unfavorable associations in LUSC, LIHC and CHOL, but favorable associations in READ, KIRC and MESO. The READ Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify READ as the clearest survival context for ATP8A2P2 RNA expression.
This table summarizes ATP8A2P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for ATP8A2P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ATP8A2P2 shows lower tumor expression in UCEC, THCA, KIRP and LUSC and higher tumor expression in COAD and HNSC. The UCEC box plot shows higher ATP8A2P2 RNA expression in normal versus tumor tissue (log2 FC = −0.169, t-test p = .015).
This table shows molecular features associated with ATP8A2P2 in patient tissues and cancer cell lines. In patient samples, ATP8A2P2 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
