ERGIC1

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, ERGIC1 RNA is linked to patient survival in 23 of 34 cancer types, making it the most broadly survival-associated ERGIC1 data layer compared with 6 for mutation status and 7 for mass-spec protein.

The strongest signal is observed in brain lower grade glioma (LGG), where higher ERGIC1 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated ERGIC1 expression acts as an unfavorable survival marker, although some lineages such as KIRC and READ show a favorable association.

LGG, LUAD, and HNSC are the cancer types where ERGIC1 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
LGGDFSMedianAll0.6740.808<.00154view →
LUADDFSQuartileIII,IV0.3400.804<.00148view →
HNSCOSTertileAll0.2700.632<.00144view →
LUSCOSQuartileAll0.2800.570.00144view →
CESCDFSQuartileAll0.7320.894<.00142view →
KIRCDFSTertileAll0.8510.702.00442view →
UVMOSTertileIII,IV0.6400.940.00236view →
BLCADFSTertileAll0.2130.583<.00134view →
SCLCOSTertileII,III,IV0.2570.654.00423view →
MESOOSQuartileAll0.3670.638.01121view →
LIHCDFSQuartileAll0.4680.664.00419view →
READOSTertileAll0.9380.492.01915view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 23 lineages.

ERGIC1–LGG (DFS)

Kaplan–Meier survival curve for ERGIC1 RNA-high vs -low samples in LGG.

Open the LGG breakdown →

Exploration