GLYATL1

Across TCGA pan-cancer cohorts, GLYATL1 RNA is linked to patient survival in 23 of 34 cancer types, making it the most broadly survival-associated GLYATL1 data layer compared with 4 for mutation status and 1 for mass-spec protein.

The strongest signal is observed in kidney renal papillary cell carcinoma (KIRP), where higher GLYATL1 RNA is associated with better overall survival. In most high-consensus cancer types, elevated GLYATL1 expression acts as an unfavorable survival marker, although some lineages such as KIRP and KIRC show a favorable association.

KIRP, KIRC, and LIHC are the cancer types where GLYATL1 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
KIRP	OS	Tertile	All	0.968	0.806	<.001	145	view →
KIRC	OS	Median	All	0.733	0.526	<.001	132	view →
LIHC	OS	Tertile	All	0.792	0.572	<.001	54	view →
LUAD	OS	Quartile	All	0.591	0.782	<.001	19	view →
KICH	DFS	Median	II,III,IV	0.657	1.000	.025	13	view →
READ	OS	Tertile	All	0.957	0.834	.014	13	view →
SKCM	OS	Median	II,III,IV	0.404	0.226	.006	13	view →
LAML	DFS	Quartile	All	0.557	0.743	.013	12	view →
ACC	DFS	Median	IV	0.472	0.089	.012	11	view →
CHOL	OS	Median	II,III,IV	0.376	0.896	.015	9	view →
COAD	OS	Median	All	0.849	0.750	.011	9	view →
LGG	DFS	Median	All	0.787	0.682	.006	8	view →

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

GLYATL1–KIRP (OS)

Open the KIRP breakdown →