SETMAR

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, SETMAR RNA is linked to patient survival in 21 of 34 cancer types, making it the most broadly survival-associated SETMAR data layer compared with 4 for mutation status and 6 for mass-spec protein.

The strongest signal is observed in liver hepatocellular carcinoma (LIHC), where higher SETMAR RNA is associated with worse overall survival. In most high-consensus cancer types, elevated SETMAR expression acts as an unfavorable survival marker, although some lineages such as DLBC and READ show a favorable association.

LIHC, DLBC, and READ are the cancer types where SETMAR RNA most reproducibly stratifies survival.

RNA 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
LIHCOSMedianAll0.7150.834.00145view →
DLBCDFSTertileAll1.0000.416.00538view →
READDFSTertileII,III,IV0.8820.334.00437view →
ACCDFSMedianAll0.2470.782<.00133view →
SKCMDFSTertileII,III,IV0.2220.505.00526view →
UVMDFSMedianII,III,IV0.7350.422.01324view →
BLCAOSMedianII,III,IV0.6810.548.00423view →
KIRCDFSMedianAll0.7350.534.01320view →
SCLCDFSMedianII,III,IV0.5190.157.00714view →
PAADOSQuartileAll0.7120.414.02612view →
LUADDFSQuartileAll0.8870.735.00712view →
LUSCDFSMedianIII,IV0.3940.913.0029view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 21 lineages.

SETMAR–LIHC (OS)

Kaplan–Meier survival curve for SETMAR RNA-high vs -low samples in LIHC.

Open the LIHC breakdown →

Exploration