Q-omics provides the consensus-scored AQP10 profile across patient tissues and cancer cell-line models. AQP10 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in THYM. Among the 18 cancer types available for tumor–normal comparison, AQP10 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, AQP10 RNA expression shows 10,026 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight THYM, HNSC, and TGCT as cancer lineages where AQP10 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 AQP10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AQP10 survival associations across molecular data types. AQP10 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AQP10 RNA expression–survival associations across cancer types. High AQP10 expression shows unfavorable associations in THYM, UVM, LIHC, DLBC and UCS, but favorable associations in BLCA. The THYM 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 THYM as the clearest survival context for AQP10 RNA expression.
This table summarizes AQP10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for AQP10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AQP10 shows lower tumor expression in LUAD, UCEC, STAD, LUSC and PRAD and higher tumor expression in HNSC. The HNSC box plot shows higher AQP10 RNA expression in tumor versus normal tissue (log2 FC = +0.527, t-test p < 0.001).
This table shows molecular features associated with AQP10 in patient tissues and cancer cell lines. In patient samples, AQP10 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, AQP10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BLOOD_Leukemia.
