SDK2

Mutation & survival
SurvivalMutationKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, SDK2 Mutation is linked to patient survival in 11 of 34 cancer types, making it a survival-associated SDK2 data layer compared with 23 for mass-spec protein and 5 for mass-spec protein.

The strongest signal is observed in kidney chromophobe (KICH), where higher SDK2 Mutation is associated with worse disease-free survival. In most high-consensus cancer types, elevated SDK2 expression acts as an unfavorable survival marker, although some lineages such as STAD show a favorable association.

KICH, HNSC, and ESCA are the cancer types where SDK2 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
KICHDFSMedianAll0.0810.904<.00130view →
HNSCDFSMedianIII,IV0.2070.682.02721view →
ESCADFSMedianIII,IV0.0230.443<.00121view →
BLCAOSMedianIII,IV0.1750.546.00815view →
KIRCDFSMedianIV0.0540.632<.00112view →
STADDFSMedianIII,IV0.8360.334.02112view →
UCECOSMedianIV0.2590.770<.00112view →
MESODFSMedianIII,IV0.0780.376.0129view →
LGGOSMedianAll0.1950.889<.0016view →
PAADDFSMedianAll0.1000.505.0046view →
LIHCDFSMedianIII,IV0.0910.337.0173view →
Pink = unfavorable, green = favorable. Showing the 11 strongest of 11 lineages.

SDK2–KICH (DFS)

Kaplan–Meier survival curve for SDK2 mutant vs wild-type samples in KICH.

Open the KICH breakdown →

Exploration