NEXMIF

Mutation & survival
SurvivalMutationKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, NEXMIF Mutation is linked to patient survival in 13 of 34 cancer types, making it a survival-associated NEXMIF data layer compared with 28 for mass-spec protein and 1 for mass-spec protein.

The strongest signal is observed in uterine corpus endometrial carcinoma (UCEC), where higher NEXMIF Mutation 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 UCEC and SKCM show a favorable association.

UCEC, KIRC, and SKCM are the cancer types where NEXMIF Mutation most reproducibly stratifies survival.

Mutation 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.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UCECDFSMedianII,III,IV0.8870.420.00536view →
KIRCDFSMedianIV0.2050.603.00130view →
SKCMOSMedianII,III,IV0.8640.691<.00121view →
LIHCOSMedianAll0.2580.778<.00115view →
CESCDFSMedianII,III,IV1.0000.670.02512view →
STADDFSMedianII,III,IV0.9210.595.0339view →
ESCAOSMedianII,III,IV0.1090.931.0039view →
MESODFSMedianIII,IV0.0780.376.0126view →
ACCOSMedianAll0.1180.624.0386view →
PRADDFSMedianAll0.0850.774<.0016view →
SCLCDFSMedianII,III,IV0.2190.609.0166view →
LGGDFSMedianAll0.1920.728.0073view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 13 lineages.

NEXMIF–UCEC (DFS)

Kaplan–Meier survival curve for NEXMIF mutant vs wild-type samples in UCEC.

Open the UCEC breakdown →

Exploration