RHOT1P3

Across TCGA pan-cancer cohorts, RHOT1P3 RNA is linked to patient survival in 19 of 34 cancer types, making it the most broadly survival-associated RHOT1P3 data layer compared with 2 for mutation status.

The strongest signal is observed in uterine corpus endometrial carcinoma (UCEC), where higher RHOT1P3 RNA is associated with worse overall survival. In most high-consensus cancer types, elevated RHOT1P3 expression acts as an unfavorable survival marker, although some lineages such as KIRC and PRAD show a favorable association.

UCEC, KIRC, and READ are the cancer types where RHOT1P3 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
UCEC	OS	Tertile	All	0.319	0.712	.001	72	view →
KIRC	DFS	Median	All	0.899	0.843	.003	45	view →
READ	OS	Tertile	III,IV	0.525	0.834	<.001	28	view →
PCPG	OS	Quartile	All	0.804	0.974	.009	25	view →
OV	OS	Quartile	All	0.271	0.376	.009	20	view →
DLBC	OS	Tertile	II,III,IV	0.118	0.802	.025	18	view →
PRAD	DFS	Quartile	All	0.910	0.711	.013	18	view →
LUSC	OS	Tertile	IV	0.001	0.651	.025	18	view →
LIHC	OS	Tertile	All	0.634	0.802	.002	15	view →
UCS	DFS	Tertile	IV	0.996	0.587	.018	12	view →
MESO	OS	Tertile	IV	0.155	0.624	.004	9	view →
BLCA	OS	Tertile	II,III,IV	0.635	0.729	.025	9	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 19 lineages.

RHOT1P3–UCEC (OS)

Open the UCEC breakdown →