PCDHGC3

Mutation & survival
SurvivalMutationKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, PCDHGC3 Mutation is linked to patient survival in 6 of 34 cancer types, making it a survival-associated PCDHGC3 data layer compared with 26 for mass-spec protein and 5 for mass-spec protein.

The strongest signal is observed in esophageal carcinoma (ESCA), where higher PCDHGC3 Mutation is associated with worse disease-free survival. In most high-consensus cancer types, elevated PCDHGC3 expression acts as an unfavorable survival marker, although some lineages such as STAD and GBM show a favorable association.

ESCA, STAD, and HNSC are the cancer types where PCDHGC3 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
ESCADFSMedianII,III,IV0.1870.528.00515view →
STADDFSMedianII,III,IV1.0000.364.01114view →
HNSCDFSMedianII,III,IV0.1940.661.0319view →
PRADDFSMedianAll0.6170.886.0456view →
UCECOSMedianIV0.2310.592.0366view →
GBMOSMedianAll1.0000.257.0402view →
Pink = unfavorable, green = favorable. Showing the 6 strongest of 6 lineages.

PCDHGC3–ESCA (DFS)

Kaplan–Meier survival curve for PCDHGC3 mutant vs wild-type samples in ESCA.

Open the ESCA breakdown →

Exploration