potassium voltage-gated channel subfamily A member 1Genealiases: AEMK · EA1 · HBK1 · HUK1 · KV1.1 · MBK1
Q-omics provides the consensus-scored KCNA1 profile across patient tissues and cancer cell-line models. KCNA1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in OV. Among the 18 cancer types available for tumor–normal comparison, KCNA1 is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, KCNA1 protein abundance shows 14,328 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight OV, THCA, and GBM as cancer lineages where KCNA1 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 KCNA1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCNA1 survival associations across molecular data types. KCNA1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (12) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KCNA1 RNA expression–survival associations across cancer types. High KCNA1 expression shows unfavorable associations in OV, UVM, THCA and STAD, but favorable associations in PAAD and BRCA. The OV 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 OV as the clearest survival context for KCNA1 RNA expression.
This table summarizes KCNA1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 3. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for KCNA1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCNA1 shows lower tumor expression in THCA, KIRP, COAD, KIRC, STAD and BRCA. The THCA box plot shows higher KCNA1 RNA expression in normal versus tumor tissue (log2 FC = −1.385, t-test p < 0.001).
This table shows molecular features associated with KCNA1 in patient tissues and cancer cell lines. In patient samples, KCNA1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, KCNA1 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 OESOPHAGUS and LUNG_SCLC.
