ACTG1P13

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, ACTG1P13 RNA is linked to patient survival in 15 of 34 cancer types, making it the most broadly survival-associated ACTG1P13 data layer.

The strongest signal is observed in lung squamous cell carcinoma (LUSC), where higher ACTG1P13 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated ACTG1P13 expression acts as an unfavorable survival marker, although some lineages such as BLCA and GBM show a favorable association.

LUSC, STAD, and HNSC are the cancer types where ACTG1P13 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
LUSCDFSTertileIII,IV0.1620.669<.001108view →
STADDFSTertileAll0.2790.725.00154view →
HNSCDFSTertileIII,IV0.3590.628.00354view →
BLCAOSTertileII,III,IV1.0000.707.02342view →
COADOSTertileIII,IV0.1590.692.02136view →
KIRPOSTertileII,III,IV0.1110.769<.00136view →
KIRCOSTertileAll0.4300.676.00436view →
TGCTOSTertileAll0.6900.968<.00136view →
GBMDFSTertileAll0.5750.236.00630view →
UCECDFSTertileAll0.2600.660.02030view →
CHOLOSTertileAll0.0890.727.00127view →
THCAOSTertileIV0.8131.000.03918view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 15 lineages.

ACTG1P13–LUSC (DFS)

Kaplan–Meier survival curve for ACTG1P13 RNA-high vs -low samples in LUSC.

Open the LUSC breakdown →

Exploration