NKILA

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, NKILA RNA is linked to patient survival in 25 of 34 cancer types, making it the most broadly survival-associated NKILA data layer.

The strongest signal is observed in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), where higher NKILA RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated NKILA expression acts as an unfavorable survival marker, although some lineages such as UCS and SKCM show a favorable association.

CESC, LUSC, and UCS are the cancer types where NKILA 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
CESCDFSMedianAll0.4250.642<.00190view →
LUSCDFSTertileII,III,IV0.2570.497.00181view →
UCSDFSQuartileII,III,IV0.5460.162.00266view →
KIRCDFSMedianIV0.3510.672.00151view →
ACCOSMedianIII,IV0.3180.878.00149view →
COADDFSMedianAll0.5870.798<.00144view →
LGGDFSMedianAll0.6750.805<.00144view →
LUADDFSMedianAll0.1900.458<.00136view →
THCADFSTertileIV0.3360.804.01033view →
HNSCOSMedianAll0.7010.801<.00133view →
PAADOSQuartileAll0.4740.761.00731view →
BLCAOSQuartileAll0.5750.719.01123view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 25 lineages.

NKILA–CESC (DFS)

Kaplan–Meier survival curve for NKILA RNA-high vs -low samples in CESC.

Open the CESC breakdown →

Exploration