PPT2-EGFL8

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, PPT2-EGFL8 RNA is linked to patient survival in 23 of 34 cancer types, making it the most broadly survival-associated PPT2-EGFL8 data layer.

The strongest signal is observed in head and neck squamous cell carcinoma (HNSC), where higher PPT2-EGFL8 RNA is associated with better overall survival. In most high-consensus cancer types, elevated PPT2-EGFL8 expression acts as an unfavorable survival marker, although some lineages such as HNSC and PAAD show a favorable association.

HNSC, ACC, and KIRC are the cancer types where PPT2-EGFL8 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
HNSCOSTertileII,III,IV0.4830.280<.001102view →
ACCDFSMedianAll0.2510.621<.00172view →
KIRCDFSMedianII,III,IV0.4090.609.00163view →
COADDFSMedianAll0.5980.772<.00163view →
PAADDFSTertileII,III,IV0.5450.268.00146view →
READOSMedianAll0.7760.519.00343view →
LIHCDFSQuartileAll0.3970.606<.00139view →
STADDFSMedianIII,IV0.3590.629.00235view →
PRADDFSMedianAll0.8340.929<.00132view →
THYMDFSQuartileAll0.9660.367<.00130view →
UCSDFSTertileIV0.9320.361.02428view →
BLCAOSTertileAll0.2180.602.00624view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 23 lineages.

PPT2-EGFL8–HNSC (OS)

Kaplan–Meier survival curve for PPT2-EGFL8 RNA-high vs -low samples in HNSC.

Open the HNSC breakdown →

Exploration