potassium calcium-activated channel subfamily M regulatory beta subunit 4Genealiases: []
Q-omics provides the consensus-scored KCNMB4 profile across patient tissues and cancer cell-line models. KCNMB4 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, KCNMB4 is differentially expressed in 7, with the highest sampling consensus in HNSC. Additionally, KCNMB4 RNA expression shows 17,592 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight UVM, HNSC, and BRCA as cancer lineages where KCNMB4 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 KCNMB4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCNMB4 survival associations across molecular data types. KCNMB4 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) 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 KCNMB4 RNA expression–survival associations across cancer types. High KCNMB4 expression shows unfavorable associations in UVM, MESO, ACC and BLCA, but favorable associations in KIRP and SCLC. 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 KCNMB4 RNA expression.
This table summarizes KCNMB4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7, while mass-spec protein shows differences in 2. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for KCNMB4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCNMB4 shows lower tumor expression in KIRC, KICH, LUSC, THCA and BRCA and higher tumor expression in HNSC. The HNSC box plot shows higher KCNMB4 RNA expression in tumor versus normal tissue (log2 FC = +0.566, t-test p = .003).
This table shows molecular features associated with KCNMB4 in patient tissues and cancer cell lines. In patient samples, KCNMB4 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, KCNMB4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUSC and BLOOD_Leukemia.
