AICDA

Mutation & survival
SurvivalMutationKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, AICDA Mutation is linked to patient survival in 7 of 34 cancer types, making it a survival-associated AICDA data layer compared with 22 for mass-spec protein.

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

LUSC, READ, and UCEC are the cancer types where AICDA 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
LUSCDFSMedianAll0.0790.792<.00124view →
READOSMedianII,III,IV0.0540.934<.00124view →
UCECDFSMedianAll1.0000.621.01216view →
KICHDFSMedianAll0.1020.848.00413view →
LIHCDFSMedianII,III,IV0.0800.414.0279view →
PRADDFSMedianAll0.0850.774<.0016view →
SKCMDFSMedianII,III,IV1.0000.671.0461view →
Pink = unfavorable, green = favorable. Showing the 7 strongest of 7 lineages.

AICDA–LUSC (DFS)

Kaplan–Meier survival curve for AICDA mutant vs wild-type samples in LUSC.

Open the LUSC breakdown →

Exploration