ABHD16B

Q-omics provides the consensus-scored ABHD16B profile across patient tissues and cancer cell-line models. ABHD16B expression is associated with patient survival in 1 of 34 cancer types, with the highest sampling consensus in SCLC. Additionally, ABHD16B RNA expression shows 3,312 significant gene co-expression associations, with the highest sampling consensus in SCLC. Together, these results highlight SCLC as cancer lineages where ABHD16B 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 ABHD16B survival associations across molecular data types. ABHD16B RNA expression shows survival associations in the most cancer types (1), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

ABHD16B data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
Mutation	Kaplan–Meier	6	HNSC (24)	view →
RNA	Kaplan–Meier	1	SCLC (40)	view →

This table ranks reproducible ABHD16B RNA expression–survival associations across cancer types. High ABHD16B 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 < 0.001). Together, the overview and detailed table identify SCLC as the clearest survival context for ABHD16B RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
SCLC	DFS	Median	II,III,IV	0.773	0.412	<.001	40	view →

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

ABHD16B-SCLC (DFS)

Explore this curve interactively →