potassium two pore domain channel subfamily K member 4Genealiases: FHEIG · K2p4.1 · TRAAK · TRAAK1
Q-omics provides the consensus-scored KCNK4 profile across patient tissues and cancer cell-line models. KCNK4 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, KCNK4 is differentially expressed in 3, with the highest sampling consensus in HNSC. Additionally, KCNK4 RNA expression shows 8,583 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight READ, HNSC, and TGCT as cancer lineages where KCNK4 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 KCNK4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCNK4 survival associations across molecular data types. KCNK4 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KCNK4 RNA expression–survival associations across cancer types. High KCNK4 expression shows unfavorable associations in READ, BRCA and UVM, but favorable associations in CESC, LGG and HNSC. The READ Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify READ as the clearest survival context for KCNK4 RNA expression.
This table summarizes KCNK4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for KCNK4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCNK4 shows lower tumor expression in KIRP and higher tumor expression in HNSC and BLCA. The HNSC box plot shows higher KCNK4 RNA expression in tumor versus normal tissue (log2 FC = +0.041, t-test p = .018).
This table shows molecular features associated with KCNK4 in patient tissues and cancer cell lines. In patient samples, KCNK4 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, KCNK4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Lymphoma.
