potassium two pore domain channel subfamily K member 10Genealiases: K2p10.1 · PPP1R97 · TREK-2 · TREK2
Q-omics provides the consensus-scored KCNK10 profile across patient tissues and cancer cell-line models. KCNK10 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, KCNK10 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, KCNK10 RNA expression shows 12,378 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, and TGCT as cancer lineages where KCNK10 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 KCNK10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCNK10 survival associations across molecular data types. KCNK10 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KCNK10 RNA expression–survival associations across cancer types. High KCNK10 expression shows unfavorable associations in UVM and SCLC, but favorable associations in KIRC, ESCA, LUAD and ACC. The KIRC 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 KIRC as the clearest survival context for KCNK10 RNA expression.
This table summarizes KCNK10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 1. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for KCNK10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCNK10 shows lower tumor expression in KIRC, KIRP, COAD and KICH and higher tumor expression in BRCA and HNSC. The KIRC box plot shows higher KCNK10 RNA expression in normal versus tumor tissue (log2 FC = −0.934, t-test p < 0.001).
This table shows molecular features associated with KCNK10 in patient tissues and cancer cell lines. In patient samples, KCNK10 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, KCNK10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Leukemia.
