ATP2C1

Mutation & survival
SurvivalMutationKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, ATP2C1 Mutation is linked to patient survival in 8 of 34 cancer types, making it a survival-associated ATP2C1 data layer compared with 24 for mass-spec protein and 6 for mass-spec protein.

The strongest signal is observed in small cell lung cancer (SCLC), where higher ATP2C1 Mutation is associated with worse disease-free survival. In most high-consensus cancer types, elevated ATP2C1 expression acts as an unfavorable survival marker, although some lineages such as UCEC and LUSC show a favorable association.

SCLC, LIHC, and UCEC are the cancer types where ATP2C1 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
SCLCDFSMedianIII,IV0.0820.548.00324view →
LIHCDFSMedianII,III,IV0.0440.427<.00112view →
UCECDFSMedianII,III,IV0.8740.305.0306view →
ACCDFSMedianAll0.1950.748.0033view →
COADDFSMedianAll0.1480.564.0233view →
LUSCDFSMedianAll0.9230.652.0373view →
BLCAOSMedianII,III,IV1.0000.411.0462view →
SKCMDFSMedianII,III,IV0.9330.667.0361view →
Pink = unfavorable, green = favorable. Showing the 8 strongest of 8 lineages.

ATP2C1–SCLC (DFS)

Kaplan–Meier survival curve for ATP2C1 mutant vs wild-type samples in SCLC.

Open the SCLC breakdown →

Exploration