potassium voltage-gated channel modifier subfamily S member 1Genealiases: Kv9.1 · hKv9.1
Q-omics provides the consensus-scored KCNS1 profile across patient tissues and cancer cell-line models. KCNS1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, KCNS1 is differentially expressed in 14, with the highest sampling consensus in KICH. Additionally, KCNS1 RNA expression shows 16,123 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, KICH, and TGCT as cancer lineages where KCNS1 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 KCNS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCNS1 survival associations across molecular data types. KCNS1 RNA expression shows survival associations in the most cancer types (24), 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 KCNS1 RNA expression–survival associations across cancer types. High KCNS1 expression shows unfavorable associations in KIRC, OV and UCEC, but favorable associations in KIRP, THCA and PRAD. The KIRC 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 KIRC as the clearest survival context for KCNS1 RNA expression.
This table summarizes KCNS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for KCNS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCNS1 shows lower tumor expression in KICH, BRCA and LUAD and higher tumor expression in COAD, HNSC and UCEC. The KICH box plot shows higher KCNS1 RNA expression in normal versus tumor tissue (log2 FC = −1.166, t-test p < 0.001).
This table shows molecular features associated with KCNS1 in patient tissues and cancer cell lines. In patient samples, KCNS1 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, KCNS1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Lymphoma.
