KPNA6

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, KPNA6 RNA is linked to patient survival in 27 of 34 cancer types, making it the most broadly survival-associated KPNA6 data layer compared with 4 for mutation status and 6 for mass-spec protein.

The strongest signal is observed in small cell lung cancer (SCLC), where higher KPNA6 RNA is associated with better disease-free survival. In most high-consensus cancer types, elevated KPNA6 expression acts as an unfavorable survival marker, although some lineages such as SCLC and KIRC show a favorable association.

SCLC, LGG, and KIRC are the cancer types where KPNA6 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
SCLCDFSMedianIII,IV0.7070.343.00155view →
LGGDFSTertileAll0.6720.851<.00150view →
KIRCDFSTertileAll0.7910.489<.00146view →
LIHCDFSMedianAll0.4750.606<.00144view →
ACCDFSQuartileAll0.4290.888<.00139view →
BLCADFSQuartileII,III,IV0.4540.614.00732view →
MESODFSMedianIV0.1890.521.00222view →
KICHDFSMedianII,III,IV0.5710.920.00520view →
READDFSQuartileAll0.9040.258.01117view →
HNSCOSTertileIII,IV0.5570.827.00613view →
CHOLOSMedianII,III,IV1.0000.463.01212view →
OVDFSQuartileIV0.3450.559.04212view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 27 lineages.

KPNA6–SCLC (DFS)

Kaplan–Meier survival curve for KPNA6 RNA-high vs -low samples in SCLC.

Open the SCLC breakdown →

Exploration