NEXMIF

Across TCGA pan-cancer cohorts, NEXMIF RNA is linked to patient survival in 28 of 34 cancer types, making it the most broadly survival-associated NEXMIF data layer compared with 13 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 NEXMIF RNA is associated with better disease-free survival. In most high-consensus cancer types, elevated NEXMIF expression acts as an unfavorable survival marker, although some lineages such as CESC and OV show a favorable association.

CESC, OV, and BLCA are the cancer types where NEXMIF 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	0.847	0.648	<.001	82	view →
OV	DFS	Quartile	III,IV	0.467	0.341	.005	52	view →
BLCA	OS	Tertile	II,III,IV	0.532	0.672	.004	47	view →
HNSC	DFS	Median	IV	0.714	0.570	.005	39	view →
PAAD	DFS	Tertile	All	0.423	0.203	<.001	31	view →
ACC	OS	Tertile	II,III,IV	0.902	0.714	.007	26	view →
LGG	DFS	Median	All	0.552	0.316	.001	22	view →
SARC	OS	Median	All	0.570	0.380	.006	16	view →
DLBC	OS	Tertile	All	0.541	1.000	.030	13	view →
PRAD	DFS	Median	All	0.952	0.913	.004	12	view →
SKCM	OS	Quartile	All	0.936	0.783	.013	11	view →
LUAD	OS	Median	All	0.449	0.278	.023	9	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 28 lineages.

NEXMIF–CESC (DFS)

Open the CESC breakdown →