potassium voltage-gated channel modifier subfamily V member 1Genealiases: HNKA · KCNB3 · KV2.3 · KV8.1
Q-omics provides the consensus-scored KCNV1 profile across patient tissues and cancer cell-line models. KCNV1 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, KCNV1 is differentially expressed in 10, with the highest sampling consensus in KIRP. Additionally, KCNV1 RNA expression shows 14,335 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, KIRP, and GBM as cancer lineages where KCNV1 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 KCNV1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCNV1 survival associations across molecular data types. KCNV1 RNA expression shows survival associations in the most cancer types (24), 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 KCNV1 RNA expression–survival associations across cancer types. High KCNV1 expression shows unfavorable associations in UVM, LUAD, CESC, LIHC and THCA, 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 < 0.001). Together, the overview and detailed table identify UVM as the clearest survival context for KCNV1 RNA expression.
This table summarizes KCNV1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for KCNV1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCNV1 shows lower tumor expression in COAD and KICH and higher tumor expression in KIRP, KIRC, LUAD and THCA. The KIRP box plot shows higher KCNV1 RNA expression in tumor versus normal tissue (log2 FC = +2.242, t-test p < 0.001).
This table shows molecular features associated with KCNV1 in patient tissues and cancer cell lines. In patient samples, KCNV1 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, KCNV1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BONE.
