KCNA6

Q-omics provides the consensus-scored KCNA6 profile across patient tissues and cancer cell-line models. KCNA6 expression is associated with patient survival in 1 of 34 cancer types, with the highest sampling consensus in SCLC. Additionally, KCNA6 RNA expression shows 12,067 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight SCLC, and GBM as cancer lineages where KCNA6 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 KCNA6 survival associations across molecular data types. KCNA6 RNA expression shows survival associations in the most cancer types (1), followed by mutation status (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

KCNA6 data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
Mutation	Kaplan–Meier	11	CESC (24)	view →
RNA	Kaplan–Meier	1	SCLC (5)	view →

This table ranks reproducible KCNA6 RNA expression–survival associations across cancer types. High KCNA6 expression shows favorable associations in SCLC. The SCLC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .036). Together, the overview and detailed table identify SCLC as the clearest survival context for KCNA6 RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
SCLC	DFS	Median	III,IV	0.496	0.256	.036	5	view →

Pink = unfavorable, green = favorable. all 1 lineages →

KCNA6-SCLC (DFS)

Explore this curve interactively →