ATP10D

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, ATP10D RNA is linked to patient survival in 22 of 34 cancer types, making it the most broadly survival-associated ATP10D data layer compared with 10 for mutation status and 2 for mass-spec protein.

The strongest signal is observed in kidney renal clear cell carcinoma (KIRC), where higher ATP10D RNA is associated with better disease-free survival. In most high-consensus cancer types, elevated ATP10D expression acts as an unfavorable survival marker, although some lineages such as KIRC and BRCA show a favorable association.

KIRC, ACC, and HNSC are the cancer types where ATP10D 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
KIRCDFSMedianAll0.7320.534<.001107view →
ACCOSQuartileII,III,IV0.6860.961.00263view →
HNSCOSQuartileIII,IV0.1440.532.00351view →
LGGOSMedianAll0.3740.526<.00147view →
BRCAOSTertileAll0.9820.948.00331view →
UVMDFSQuartileIII,IV0.2320.900.00222view →
LIHCOSMedianAll0.7300.818.01718view →
PCPGOSTertileAll0.7791.000.02316view →
ESCAOSTertileAll1.0000.563.01715view →
THCAOSQuartileAll0.9401.000.01314view →
UCSDFSTertileIV0.9380.361.02412view →
UCECOSQuartileAll0.8970.954.01610view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 22 lineages.

ATP10D–KIRC (DFS)

Kaplan–Meier survival curve for ATP10D RNA-high vs -low samples in KIRC.

Open the KIRC breakdown →

Exploration