Across TCGA pan-cancer cohorts, DEFB133 RNA is linked to patient survival in 12 of 34 cancer types, making it the most broadly survival-associated DEFB133 data layer compared with 1 for mutation status.

The strongest signal is observed in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), where higher DEFB133 RNA is associated with worse overall survival. In most high-consensus cancer types, elevated DEFB133 expression acts as an unfavorable survival marker.

CESC, KICH, and LIHC are the cancer types where DEFB133 RNA most reproducibly stratifies survival.

RNA survival associations by lineage

Ranked by sampling consensus. AUC1 and AUC2 indicate survival in the high- and low-expression groups, respectively; the lower AUC marks the poorer-surviving group. p-values are from the log-rank test.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
CESC	OS	Tertile	II,III,IV	0.121	0.829	<.001	108	view →
KICH	DFS	Tertile	All	0.081	0.904	<.001	90	view →
LIHC	DFS	Tertile	All	0.181	0.456	<.001	81	view →
BRCA	OS	Tertile	III,IV	0.168	0.836	<.001	72	view →
STAD	OS	Tertile	IV	0.116	0.472	<.001	63	view →
BLCA	DFS	Tertile	III,IV	0.142	0.498	.001	60	view →
SKCM	DFS	Tertile	III,IV	0.048	0.597	.001	60	view →
LUAD	DFS	Tertile	IV	0.342	0.893	<.001	57	view →
THCA	OS	Tertile	All	0.189	0.942	<.001	54	view →
PAAD	OS	Tertile	All	0.138	0.590	<.001	18	view →
LGG	OS	Tertile	All	0.674	0.896	.043	6	view →
KIRC	OS	Tertile	All	0.381	0.636	.025	6	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 12 lineages.

Exploration

Same gene, other analysis: DEFB133 tumor-vs-normal RNA expression · all DEFB133 data types