Q-omics provides the consensus-scored DEFB108D profile across patient tissues and cancer cell-line models. DEFB108D expression is associated with patient survival in 3 of 34 cancer types, with the highest sampling consensus in SKCM. Additionally, DEFB108D RNA expression shows 4,371 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight SKCM, and KIRP as cancer lineages where DEFB108D 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.

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Survival associations

This table summarizes DEFB108D survival associations across molecular data types. DEFB108D RNA expression shows survival associations in the most cancer types (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

DEFB108D data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
RNA	Kaplan–Meier	3	HNSC (54)	view →

This table ranks reproducible DEFB108D RNA expression–survival associations across cancer types. High DEFB108D expression shows unfavorable associations in SKCM, HNSC and UCEC. The SKCM 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 SKCM as the clearest survival context for DEFB108D RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
SKCM	DFS	Tertile	All	0.058	0.757	<.001	54	view →
HNSC	DFS	Tertile	II,III,IV	0.101	0.695	<.001	54	view →
UCEC	OS	Tertile	IV	0.308	0.748	.009	18	view →

Pink = unfavorable, green = favorable. all 3 lineages →

DEFB108D-SKCM (DFS)

Kaplan–Meier survival curve for DEFB108D RNA expression in SKCM: high vs low expression groups.

Explore this curve interactively →

Cross-omics associations

This table shows molecular features associated with DEFB108D in patient tissues and cancer cell lines. In patient samples, DEFB108D shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
RNA	4,371	KIRP (1575)	view →
Function (RNA)	1,804	UCEC (873)	view →