Q-omics provides the consensus-scored KCNQ1DN profile across patient tissues and cancer cell-line models. KCNQ1DN expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, KCNQ1DN is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, KCNQ1DN RNA expression shows 9,233 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, KICH, and GBM as cancer lineages where KCNQ1DN 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 KCNQ1DN — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCNQ1DN survival associations across molecular data types. KCNQ1DN RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KCNQ1DN RNA expression–survival associations across cancer types. High KCNQ1DN expression shows unfavorable associations in ACC, OV, LUAD, LIHC and COAD, but favorable associations in SARC. The ACC 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 ACC as the clearest survival context for KCNQ1DN RNA expression.
This table summarizes KCNQ1DN tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for KCNQ1DN. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCNQ1DN shows lower tumor expression in KICH, LUAD, KIRP, BRCA and KIRC and higher tumor expression in HNSC. The KICH box plot shows higher KCNQ1DN RNA expression in normal versus tumor tissue (log2 FC = −0.078, t-test p = .001).
This table shows molecular features associated with KCNQ1DN in patient tissues and cancer cell lines. In patient samples, KCNQ1DN 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, KCNQ1DN RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
