potassium two pore domain channel subfamily K member 9Genealiases: BIBARS · K2p9.1 · KT3.2 · TASK-3 · TASK3 · TASK32
Q-omics provides the consensus-scored KCNK9 profile across patient tissues and cancer cell-line models. KCNK9 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, KCNK9 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, KCNK9 RNA expression shows 15,509 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KIRC as cancer lineages where KCNK9 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 KCNK9 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCNK9 survival associations across molecular data types. KCNK9 RNA expression shows survival associations in the most cancer types (24), 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 KCNK9 RNA expression–survival associations across cancer types. High KCNK9 expression shows unfavorable associations in UVM, UCEC, KIRP, LIHC and ACC, but favorable associations in KIRC. The UVM 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 UVM as the clearest survival context for KCNK9 RNA expression.
This table summarizes KCNK9 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for KCNK9. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCNK9 shows lower tumor expression in THCA and higher tumor expression in KIRC, HNSC, COAD, BRCA and LUSC. The KIRC box plot shows higher KCNK9 RNA expression in tumor versus normal tissue (log2 FC = +1.677, t-test p < 0.001).
This table shows molecular features associated with KCNK9 in patient tissues and cancer cell lines. In patient samples, KCNK9 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, KCNK9 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Leukemia.
