HLA-DQB1

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, HLA-DQB1 RNA is linked to patient survival in 21 of 34 cancer types, making it the most broadly survival-associated HLA-DQB1 data layer compared with 2 for mutation status and 6 for mass-spec protein.

The strongest signal is observed in skin cutaneous melanoma (SKCM), where higher HLA-DQB1 RNA is associated with better overall survival. In most high-consensus cancer types, elevated HLA-DQB1 expression acts as an unfavorable survival marker, although some lineages such as SKCM and KIRC show a favorable association.

SKCM, UVM, and KIRC are the cancer types where HLA-DQB1 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
SKCMOSMedianAll0.4660.247<.001124view →
UVMDFSMedianAll0.3840.735.00170view →
KIRCDFSTertileII,III,IV0.8770.741.00267view →
LGGOSMedianAll0.7300.890<.00147view →
CESCOSQuartileAll0.8560.715.01442view →
LUADDFSMedianAll0.4550.258<.00136view →
LAMLDFSTertileAll0.3700.607.00930view →
LIHCOSTertileIII,IV0.7950.444.00428view →
KIRPDFSTertileIII,IV0.4100.909.01819view →
SCLCDFSMedianAll0.9390.590.00718view →
BRCAOSMedianAll0.9700.954.01715view →
HNSCDFSQuartileIII,IV0.4800.155.00714view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 21 lineages.

HLA-DQB1–SKCM (OS)

Kaplan–Meier survival curve for HLA-DQB1 RNA-high vs -low samples in SKCM.

Open the SKCM breakdown →

Exploration