NETO1

Across TCGA pan-cancer cohorts, NETO1 RNA is linked to patient survival in 23 of 34 cancer types, making it the most broadly survival-associated NETO1 data layer compared with 9 for mutation status and 1 for mass-spec protein.

The strongest signal is observed in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), where higher NETO1 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated NETO1 expression acts as an unfavorable survival marker, although some lineages such as KIRC and THCA show a favorable association.

CESC, KIRP, and UCEC are the cancer types where NETO1 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	Quartile	II,III,IV	0.649	0.867	.004	44	view →
KIRP	DFS	Quartile	II,III,IV	0.149	0.610	.001	38	view →
UCEC	DFS	Median	All	0.557	0.725	.002	32	view →
KIRC	OS	Quartile	All	0.885	0.755	.006	24	view →
UVM	OS	Median	III,IV	0.240	0.836	.001	24	view →
THCA	DFS	Quartile	All	0.971	0.643	.001	18	view →
ESCA	DFS	Median	III,IV	0.447	0.236	.009	16	view →
STAD	DFS	Tertile	All	0.497	0.640	.005	15	view →
LGG	DFS	Tertile	All	0.851	0.745	<.001	15	view →
MESO	OS	Quartile	IV	0.256	0.829	.008	15	view →
BLCA	DFS	Median	All	0.396	0.575	.030	10	view →
SKCM	DFS	Tertile	III,IV	0.357	0.681	.007	9	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 23 lineages.

NETO1–CESC (DFS)

Open the CESC breakdown →