KCNA5

associated omics data
potassium voltage-gated channel subfamily A member 5Genealiases: ATFB7 · HCK1 · HK2 · HPCN1 · KV1.5 · PCN1

Q-omics provides the consensus-scored KCNA5 profile across patient tissues and cancer cell-line models. KCNA5 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, KCNA5 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, KCNA5 RNA expression shows 18,112 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight UVM, KICH, and LUAD as cancer lineages where KCNA5 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.

Survival associations

This table summarizes KCNA5 survival associations across molecular data types. KCNA5 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
KCNA5 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23UVM (114)view →
MutationKaplan–Meier6ESCA (24)view →
This table ranks reproducible KCNA5 RNA expression–survival associations across cancer types. High KCNA5 expression shows unfavorable associations in BLCA and KIRP, but favorable associations in UVM, LUAD, UCS and HNSC. The UVM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify UVM as the clearest survival context for KCNA5 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMOSTertileAll0.7720.324<.001114view →
LUADOSMedianII,III,IV0.6960.478.00273view →
BLCADFSMedianIV0.0930.359.00147view →
UCSOSMedianII,III,IV0.7510.452.01144view →
KIRPOSTertileII,III,IV0.3650.724.00934view →
HNSCDFSQuartileIII,IV0.4570.171.00131view →
Pink = unfavorable, green = favorable. all 23 lineages →

KCNA5-UVM (OS)

Kaplan–Meier survival curve for KCNA5 RNA expression in UVM: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes KCNA5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 1. The strongest signals are observed in BLCA for RNA and HNSC for protein.
KCNA5 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13BLCA (11)view →
Protein (mass-spec)Box plot1HNSC (6)view →
This table ranks reproducible tumor–normal expression differences for KCNA5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCNA5 shows lower tumor expression in KICH, BLCA, COAD, LUAD, KIRP and LUSC. The KICH box plot shows higher KCNA5 RNA expression in normal versus tumor tissue (log2 FC = −1.662, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHAllIII,IV−1.662<.00111view →
BLCAAllIII,IV−1.596<.00111view →
COADMaleAll−0.972<.00110view →
LUADFemaleIII,IV−1.798<.0019view →
KIRPFemaleAll−1.139<.0019view →
LUSCAllIII,IV−2.130<.0018view →
Green = repressed in tumor. all 13 lineages →

KCNA5-KICH

Tumor-vs-normal expression box plot for KCNA5 in KICH.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with KCNA5 in patient tissues and cancer cell lines. In patient samples, KCNA5 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, KCNA5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)18,112LUAD (5806)view →
RNA15,772TGCT (6033)view →
Mutation
RNA5,940UCEC (4257)view →
Protein (RPPA)84UCEC (60)view →
Protein (mass-spec)
Protein (mass-spec)891HNSC (891)view →
RNA227HNSC (227)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,662LUNG_NSCLC_LUAD (157)view →
RNA1,343LUNG_NSCLC_LUAD (196)view →
shRNA
shRNA2,483BLOOD_Myeloma (329)view →
RNA2,153LARGE_INTESTINE (443)view →
RNA
RNA1,936BLOOD_Leukemia (658)view →
Function (RNA)386BLOOD_Leukemia (270)view →
Mutation
Mutation1,526LARGE_INTESTINE (721)view →
RNA48LARGE_INTESTINE (34)view →