EIF3H

Across TCGA pan-cancer cohorts, EIF3H RNA is linked to patient survival in 25 of 34 cancer types, making it the most broadly survival-associated EIF3H data layer compared with 3 for mutation status and 7 for mass-spec protein.

The strongest signal is observed in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), where higher EIF3H RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated EIF3H expression acts as an unfavorable survival marker, although some lineages such as LGG and KIRC show a favorable association.

CESC, KIRP, and ACC are the cancer types where EIF3H 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	DFS	Tertile	All	0.481	0.719	<.001	106	view →
KIRP	DFS	Median	All	0.855	0.960	<.001	90	view →
ACC	DFS	Median	All	0.277	0.616	<.001	79	view →
LIHC	OS	Quartile	All	0.586	0.796	<.001	79	view →
UVM	DFS	Quartile	III,IV	0.169	0.832	<.001	68	view →
HNSC	DFS	Quartile	All	0.624	0.764	.001	56	view →
LGG	DFS	Median	All	0.824	0.634	<.001	40	view →
KIRC	DFS	Tertile	All	0.864	0.675	.001	36	view →
PAAD	OS	Tertile	All	0.292	0.518	.004	33	view →
SCLC	DFS	Quartile	III,IV	0.250	0.642	.011	22	view →
LUAD	DFS	Median	II,III,IV	0.142	0.332	.003	22	view →
SARC	OS	Median	All	0.673	0.817	<.001	19	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 25 lineages.

EIF3H–CESC (DFS)

Open the CESC breakdown →