HLA-DQA2

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, HLA-DQA2 RNA is linked to patient survival in 30 of 34 cancer types, making it the most broadly survival-associated HLA-DQA2 data layer compared with 2 for mutation status.

The strongest signal is observed in skin cutaneous melanoma (SKCM), where higher HLA-DQA2 RNA is associated with better overall survival. In most high-consensus cancer types, elevated HLA-DQA2 expression acts as an unfavorable survival marker, although some lineages such as SKCM and CESC show a favorable association.

SKCM, UVM, and CESC are the cancer types where HLA-DQA2 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
SKCMOSQuartileAll0.4850.250<.00179view →
UVMOSTertileAll0.3240.705<.00176view →
CESCOSMedianII,III,IV0.8900.750.01750view →
KIRCDFSQuartileII,III,IV0.6680.391<.00150view →
HNSCDFSMedianAll0.7700.647.00148view →
ACCDFSTertileAll0.7060.217.00347view →
LGGDFSMedianAll0.2790.517<.00143view →
THCADFSTertileII,III,IV0.6170.968<.00133view →
BRCADFSMedianIV0.9470.533.00629view →
LUADDFSMedianIII,IV0.6040.368.00324view →
CHOLDFSMedianII,III,IV0.5580.109.00620view →
MESODFSTertileAll0.4440.269.00815view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 30 lineages.

HLA-DQA2–SKCM (OS)

Kaplan–Meier survival curve for HLA-DQA2 RNA-high vs -low samples in SKCM.

Open the SKCM breakdown →

Exploration