potassium two pore domain channel subfamily K member 18Genealiases: K2p18.1 · MGR13 · TRESK · TRESK-2 · TRESK2 · TRIK
Q-omics provides the consensus-scored KCNK18 profile across patient tissues and cancer cell-line models. KCNK18 expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in LIHC. Additionally, KCNK18 RNA expression shows 6,388 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LIHC, and STAD as cancer lineages where KCNK18 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 KCNK18 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCNK18 survival associations across molecular data types. KCNK18 RNA expression shows survival associations in the most cancer types (9), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KCNK18 RNA expression–survival associations across cancer types. High KCNK18 expression shows unfavorable associations in LIHC, ESCA, UCEC, UCS, COAD and KIRC. The LIHC 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 LIHC as the clearest survival context for KCNK18 RNA expression.
This table shows molecular features associated with KCNK18 in patient tissues and cancer cell lines. In patient samples, KCNK18 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, KCNK18 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and CNS.
