ESYT3

Mutation & survival
SurvivalMutationKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, ESYT3 Mutation is linked to patient survival in 11 of 34 cancer types, making it a survival-associated ESYT3 data layer compared with 23 for mass-spec protein and 1 for mass-spec protein.

The strongest signal is observed in adrenocortical carcinoma (ACC), where higher ESYT3 Mutation is associated with worse disease-free survival. In most high-consensus cancer types, elevated ESYT3 expression acts as an unfavorable survival marker, although some lineages such as UCEC and SKCM show a favorable association.

ACC, ESCA, and COAD are the cancer types where ESYT3 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
ACCDFSMedianAll0.0100.667<.00145view →
ESCAOSMedianII,III,IV0.1830.707<.00136view →
COADDFSMedianII,III,IV0.0280.744<.00134view →
UCECDFSMedianAll1.0000.598.00134view →
LUSCOSMedianII,III,IV0.1840.745<.00127view →
BLCAOSMedianIII,IV0.1810.686<.00118view →
DLBCDFSMedianII,III,IV0.0220.837<.00112view →
SARCDFSMedianAll0.1210.611.0416view →
READOSMedianII,III,IV0.1870.653.0306view →
PRADDFSMedianAll0.0850.774<.0016view →
SKCMOSMedianIII,IV1.0000.338.0401view →
Pink = unfavorable, green = favorable. Showing the 11 strongest of 11 lineages.

ESYT3–ACC (DFS)

Kaplan–Meier survival curve for ESYT3 mutant vs wild-type samples in ACC.

Open the ACC breakdown →

Exploration