AGFG1

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, AGFG1 RNA is linked to patient survival in 27 of 34 cancer types, making it the most broadly survival-associated AGFG1 data layer compared with 5 for mutation status and 6 for mass-spec protein.

The strongest signal is observed in adrenocortical carcinoma (ACC), where higher AGFG1 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated AGFG1 expression acts as an unfavorable survival marker, although some lineages such as UCS and COAD show a favorable association.

ACC, CESC, and LIHC are the cancer types where AGFG1 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
ACCDFSMedianAll0.2220.679<.001116view →
CESCDFSMedianAll0.6370.848<.001102view →
LIHCDFSMedianAll0.4510.634<.00195view →
UVMDFSQuartileAll0.2830.825.00179view →
BLCAOSTertileII,III,IV0.5400.693.00349view →
OVOSQuartileIII,IV0.2440.404<.00146view →
LUADOSMedianAll0.2590.420<.00145view →
UCECDFSQuartileAll0.7820.910<.00124view →
UCSDFSTertileIV0.9420.403.02424view →
LGGOSMedianAll0.3500.591<.00122view →
COADOSMedianAll0.8570.748.00316view →
HNSCOSMedianAll0.6290.784.00814view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 27 lineages.

AGFG1–ACC (DFS)

Kaplan–Meier survival curve for AGFG1 RNA-high vs -low samples in ACC.

Open the ACC breakdown →

Exploration