AGPAT4-IT1

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, AGPAT4-IT1 RNA is linked to patient survival in 23 of 34 cancer types, making it the most broadly survival-associated AGPAT4-IT1 data layer.

The strongest signal is observed in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), where higher AGPAT4-IT1 RNA is associated with worse overall survival. In most high-consensus cancer types, elevated AGPAT4-IT1 expression acts as an unfavorable survival marker, although some lineages such as ESCA and CHOL show a favorable association.

CESC, KIRC, and LUAD are the cancer types where AGPAT4-IT1 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
CESCOSMedianAll0.4600.701<.00176view →
KIRCDFSTertileAll0.5610.726.00358view →
LUADOSQuartileAll0.7820.885.00648view →
THCADFSTertileII,III,IV0.8000.996<.00141view →
UVMOSQuartileIII,IV0.3870.768.00641view →
MESOOSMedianAll0.3240.647.01428view →
ACCDFSTertileIV0.1260.632.00224view →
HNSCOSQuartileIII,IV0.3520.640.00623view →
ESCAOSMedianIII,IV0.6740.453.01218view →
LAMLDFSTertileAll0.3280.709.00118view →
BLCADFSQuartileAll0.2430.385.02014view →
READDFSMedianIV0.3910.827.00414view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 23 lineages.

AGPAT4-IT1–CESC (OS)

Kaplan–Meier survival curve for AGPAT4-IT1 RNA-high vs -low samples in CESC.

Open the CESC breakdown →

Exploration