ATP6V1G2-DDX39B

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, ATP6V1G2-DDX39B RNA is linked to patient survival in 20 of 34 cancer types, making it the most broadly survival-associated ATP6V1G2-DDX39B data layer.

The strongest signal is observed in lymphoid neoplasm diffuse large b-cell lymphoma (DLBC), where higher ATP6V1G2-DDX39B RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated ATP6V1G2-DDX39B expression acts as an unfavorable survival marker, although some lineages such as LGG and GBM show a favorable association.

DLBC, CHOL, and THCA are the cancer types where ATP6V1G2-DDX39B 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
DLBCDFSTertileII,III,IV0.1260.951<.00170view →
CHOLOSTertileAll0.2530.817<.00163view →
THCADFSTertileIV0.5410.931.00350view →
LGGOSMedianAll0.8680.746<.00139view →
GBMOSTertileAll0.3410.204.00333view →
BRCAOSQuartileAll0.8850.535.00330view →
COADOSTertileAll0.7670.879.01618view →
OVOSTertileII,III,IV0.2360.346.01318view →
UVMDFSMedianAll0.3700.660.01916view →
THYMDFSTertileIII,IV0.2141.000.0089view →
LIHCDFSTertileII,III,IV0.1270.431.0029view →
KIRCDFSTertileII,III,IV0.8530.774.0386view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 20 lineages.

ATP6V1G2-DDX39B–DLBC (DFS)

Kaplan–Meier survival curve for ATP6V1G2-DDX39B RNA-high vs -low samples in DLBC.

Open the DLBC breakdown →

Exploration