SAP30-DT

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, SAP30-DT RNA is linked to patient survival in 18 of 34 cancer types, making it the most broadly survival-associated SAP30-DT data layer.

The strongest signal is observed in kidney chromophobe (KICH), where higher SAP30-DT RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated SAP30-DT expression acts as an unfavorable survival marker, although some lineages such as SKCM and UCS show a favorable association.

KICH, UVM, and READ are the cancer types where SAP30-DT 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
KICHDFSMedianII,III,IV0.6671.000.001102view →
UVMDFSTertileAll0.2840.698.00184view →
READDFSTertileIV0.3090.880<.00144view →
LGGDFSMedianAll0.2870.487<.00144view →
LIHCDFSTertileAll0.4420.622<.00140view →
ACCDFSTertileAll0.2670.729<.00132view →
SKCMOSMedianIII,IV0.5430.231.00129view →
UCSOSMedianAll0.4870.235.01824view →
HNSCOSTertileAll0.2910.657<.00124view →
MESODFSMedianAll0.3100.456.01922view →
ESCAOSMedianII,III,IV0.6090.406.02318view →
BLCAOSMedianII,III,IV0.7540.659.02014view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 18 lineages.

SAP30-DT–KICH (DFS)

Kaplan–Meier survival curve for SAP30-DT RNA-high vs -low samples in KICH.

Open the KICH breakdown →

Exploration