Q-omics provides the consensus-scored AQP6 profile across patient tissues and cancer cell-line models. AQP6 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, AQP6 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, AQP6 RNA expression shows 16,330 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UCEC, KIRC, and TGCT as cancer lineages where AQP6 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 AQP6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AQP6 survival associations across molecular data types. AQP6 RNA expression shows survival associations in the most cancer types (24), 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 AQP6 RNA expression–survival associations across cancer types. High AQP6 expression shows unfavorable associations in ACC, COAD and KIRP, but favorable associations in UCEC, OV and BLCA. The UCEC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify UCEC as the clearest survival context for AQP6 RNA expression.
This table summarizes AQP6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for AQP6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AQP6 shows lower tumor expression in KIRC, KIRP and KICH and higher tumor expression in COAD, THCA and UCEC. The KIRC box plot shows higher AQP6 RNA expression in normal versus tumor tissue (log2 FC = −5.106, t-test p < 0.001).
This table shows molecular features associated with AQP6 in patient tissues and cancer cell lines. In patient samples, AQP6 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, AQP6 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and SKIN.
